About

Professor P.Krishna Reddy is in IIIT, Hyderabad since 2002. During 2013 to 2015, he was a Program Director, ITRA-Agriculture & Food, Information Technology Research Academy (ITRA), Government of India. During 1997 to 2002, he was a research associate at the Center for Conceptual Information Processing Research, Institute of Industrial Science, University of Tokyo. He has received PhD degree in Computer Science from Jawaharlal Nehru University, New Delhi. His research interests include data mining, database systems and IT for agriculture. He has published about 145 refereed research papers.

Awards and Recognitions

• Received "PAKDD Distinguished Service Award" during PAKDD-2021 conference (Citation: For outstanding service contributions to the PAKDD, through organizational efforts; resulting in making PAKDD conferences successful, for exceptional leadership and responsibility towards his tasks)

 
• General Chair, The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), May 11-14, 2021, Delhi, India.

 
• Associate editor, Iran Journal of Computer Science-An International Journal, Springer. 2017.

 
• Member of the Steering Committee of the Regional Task Force on Agriculture & Food Processing for the year 2017 -18, Confederation of Indian Industries-Southern Region.

 
• Steering committee chair, Big Data Analytics conference series. 2018.

 
• General chair, The Fifth International Conference on Big Data Analytics (BDA 2017), 12-15 December, 2017 Hyderabad, India

 
• Steering committee member, Database Systems for Advanced Applications (DASFAA), (http://www.dasfaa.net/index.htm), 2016.

 
• PC Co-chair of IEEE/ACM DSAA Special Session on Data Science for Agricultural Decision Support System (DS4ADSS 2016), Oct 17-19, 2016.

 
• Member of the sub-group of the Task Force on the Use of Technology in IT/ ICT in Agricultural Insurance by NITI (National Institution for Transforming India) Aayog, Government of India, 2016.

 
• Received best paper award for the paper ''Empowering Farmers with Location-Specific Agriculture Knowledge Through Village-level eSagu: An Assessment in 30 Villages'' by P.Krishna Reddy, Devi Prasad Juvvadi, M.Kumarawamy, and B.Bhaskar Reddy at International Conference on Good Governance in Agricultural Extension, 3-4 September 2015, Center for Good Governance, Hyderabad, India. [PDF]

 
• Organizing chair, The 4thInternational Conference on Big Data Analytics (BDA2015), December 15-18, 2015, Hyderabad, Telangana State, India.

 
• Media and Publicity Chair, KDD2015, 10-13 Aug 2015, Sydney, Australia.

 
• PC Co-chair, Workshop on Networks and Systems for Agriculture (AGRINETS 2015), held in association with 7th International Conference on COMmunication System & NETworkS (COMSNETS2015) JANUARY 6 – 10,BANGALORE, INDIA

 
• PC-Co-chair of Strategic Formulation Meeting (SFM) for ITRA-Agriculture&Food, March 15-16, 2013, New Delhi, India

 
• Best paper presentation award for the paper " Village-level eSagu: A Scalable and Location-Specific Agro-advisory System", authored by P.Krishna Reddy, B.Bhaskar Reddy and M. Kumaraswamy in National Seminar on Futuristic Agricultural Extension for Livelihood Improvement and Sustainable Development organized from 19 - 21 January 2013 at Acharya NG Ranga Agricultural University, Rajendranagar, Hyderabad, Andhra Pradesh, India in collaboration with Extension Education Institute, Rajendranagar, Hyderabad; Indian Society of Extension Education, Nagpur; and Society of Extension Professionals, Andhra Pradesh [PDF] .

 
• Best poster award for the poster "Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Datbases", authored by R Uday Kiran, Akshat Surana, and P.Krishna Reddy, IBM Collaborative Academia Research Exchange Workshop (ICARE 2010), 22 October 2010, Bangalore, India.

 
• Steering committee member, Pacific-Asia Knowledge Discovery and Data mining (PAKDD) (http://pakdd.togaware.com/scmembers.html).

 
• General Chair, The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), 21-24 June, 2010 - Hyderabad, India.

 
• Workshop Chair, Workshop on Knowledge Discovery for Rural Systems (KDRS-2010), 21 June 2010 (held in conjunction with PAKDD-2010).

 
• Proceedings chair, 14th International Conference on Management of Data, 2008 (COMAD 2008), December 2008.

 
• Research paper entitled "An Approach to Build a Cyber-Community Hierarchy" has been recognized as on of the important paper in "Web Graph Sociology" area.

 
• Awarded the title "The Fellows of Manthan Award: The e-Content Pathbreakers" in the year 2007 by Digital Empowerment Foundation, New Delhi.

 
• Diploma for excellence in the use of information technology in the economic development category by Stockholm Challenge 2008.

 
• Since 2004, I have been involved in developing the eSagu system which an IT-based Personalized Agro-Advisory System (www.esagu.in). The following are recognitions.
  • Finalist in the Stockholm Challenge Award 2008 in the economic development category.
  
   
  • Winner of "The Manthan Award 2007 - India's Best e-Content for Development".
  
   
  • Recognized as a technology by Solution Exchange, a United Nations Initiative for Development Practitioners in India, December 2006. Title: "eSagu: An IT- based Personalized Agro-advisory System for Augmenting Livelihoods of Farmers".
  
   
  • Best CSI-Nihilent e-Governance Project Award (overall winner) 2005-06.
  
   
  • Recognized as a one of the world wide latest novel internet applications in the Innovative Application Case Study 2006" by a not-for-profit Think Tank for Taiwanese Ministry of Economic Affairs in Taipai (Behalf of Institute of Information Industry, Taiwan).
  
   
  • Listed as one of the top three e-Governance projects (the other two are BHOOMI and SAMPARK) of India in the video film on "Next eGovernance Plan", November 2005.
  
   

P . Krishna Reddy

Bio Sketch

Prof. P. Krishna Reddy is a faculty member at IIIT Hyderabad. He is the head of Agricultural Research Center and the member of Data Sciences and Analytics Center research team at IIIT Hyderabad, India. During 2013 to 2015, he has served as a Program Director, ITRA-Agriculture & Food, Information Technology Research Academy (ITRA), Government of India. From 1997 to 2002, he was a research associate at the Center for Conceptual Information Processing Research, Institute of Industrial Science, University of Tokyo. From 1994 to 1996, he was a faculty member at the Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi. During the summer of 2003, he was a visiting researcher at Institute for Software Research International, School of Computer Science, Carnegie Mellon University, Pittsburg, USA. He has received both M.Tech and Ph.D degrees in computer science from Jawaharlal Nehru University, New Delhi in 1991 and 1994, respectively. His research areas include data mining, database systems and IT for agriculture. He has published about 189 refereed research papers which include 30 journal papers, four book chapters, and eight edited books. He is a steering committee member of the pacific-asia knowledge discovery and data mining (PAKDD) conference series and Database Systems for Advanced Applications (DASFAA) conference series. He is a steering committee chair of Big Data Analytics (BDA) conference series since 2017. He was a proceedings chair of COMAD 2008, a workshop chair of KDRS 2010, media and publicity chair of KDD 2015, and general chair of BDA2017. As a general chair, he has organized the both 14th and 21th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2010 and PAKDD2021) conferences, the Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIPA 2012) and the Fifth International Conference on Big Data Analytics (BDA 2017). He is currently organizing DASFAA2022. He has delivered several invited/panel talks at the reputed conferences and workshops in India and abroad. He has got several awards and recognitions. He has executed research projects by raising the research funding of about 80 million Indian rupees. Since 2004, he has been investigating the building efficient knowledge agricultural knowledge transfer systems by extending developments in IT. He has developed eSagu system, which is an IT-based farm-specific agro-advisory system, which has been field-tested in hundreds of villages on about 50 field and horticultural crops. He has also built eAgromet system, which is an IT-based agro-meteorological advisory system to provide risk mitigation information to farmers. He has conceptualized the notion of Virtual Crop Labs to improve applied skills for extension professionals. Currently, he is investigating the building of Crop Darpan system, which is a crop diagnostic tool for farmers, with the funding support from India-Japan Joint Research Laboratory Program. He has received two best paper awards. The eSagu system, which is an IT based farm-specific agro-advisory system, has got several recognitions including CSI-Nihilent e-Governance Project Award in 2006, Manthan Award in 2008 and finalist in the Stockholm Challenge Award in 2008. He has received PAKDD Distinguished Service Award in 2021.

Conferences / Workshops

• General chair, The Fifth International Conference on Big Data Analytics (BDA 2017), 12-15 December, 2017 Hyderabad, India

 
• PC Co-chair of IEEE/ACM DSAA Special Session on Data Science for Agricultural Decision Support System (DS4ADSS 2016), Oct 17-19, 2016.

 
• Media and Publicity Chair, KDD2015, 10-13 Aug 2015, Sydney, Australia.

 
• Programme Committee Chair, Workshop on Networks and Systems for Agriculture 2015 (AGRINETS 2015), held held in conjunction with COMSNETS 2015, January 6, 2015.

 
• Convener, The Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIPA 2012) 1-3 August, 2012, Hyderabad, India.

 
• General Chair, The 14th Pacific-Asia Conference on Knowledge Dicovery and Data Mining (PAKDD2010), 21-24 June 2010.

 
• Workshop Chair, Workshop on Knowledge Discovery for Rural Systems (KDRS-2010), 21 June 2010 (held in conjunction with PAKDD-2010).

 
• Proceedings chair, 14th International Conference on Management of Data, 2008 (COMAD 2008), December 2008.

 
• Local arrangements chair, 12th International Conference on Management of Data (COMAD 2005b), December 20-22, Hyderabad, India, 2005.

 
• Organized National Workshop on IT-based Personalized Agricultural Extension System (IT-PAES2005), 6 May 2005, Hyderabad, India.

KEYNOTE, INVITED AND PANEL TALKS

• P. Krishna Reddy has delivered a lead talk entitled, `Building a smart phone based field diagnosis guide for farmers by extending the concept of generalization', at Symposium on Artificial intelligence (AI) based smart plant protection- futuristic scenario, at XIX International Plant Protection Congress, IPPC2019, 10 - 14 Nov 2019, Hyderabad, India.

 
• Delivered a panel talk entitled, Can DBMS technologies play a significant role in Big Data Analytics if so how? If not how not?, at 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, NIT Warangal, India.

 
• Delivered an invited talk entitled, “Buildiing Efficient Weather-based Agricultural Decision Support Systems”, at International Conference on Statistics & Big Data Bioinformatics in Agricultural Research, 21-23 November 2016 (celebrating 70th Annual Conference of Indian Society of Agricultural Statistics (ISAS)), ICRISAT, Patancheru, Telangana, India.

 
• Delivered an invited talk entitled, “eSagu: Experiences of building an IT-based farm-specific and location-specific agro-advisory system”, at ICT for Future Agriculture organized by World Congress on Computers in Agriculture and Asian Federation for Information Technology in Agriculture (WCCA•AFITA 2016), at Sunchon National University, Sunchon, Korea, June 21-24, 2016.

 
• Delivered a tutorial talk entitled, ``Building Information/Knowledge Based Decision Support Systems for Better Agriculture'', at The 8th Multi-Disciplinary International Workshop on Artificial Intelligence (MIWAI'2014), 8-10 December 2014.

 
• Delivered an invited talk, entitled ``An IT-based Framework for Climate Change Adaptation'', at Seminar on Climate Change Agriculture and Food Security: Opportunities for Regional Collaboration, Organized by The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) South and South East Asia, Ho Chi Minh City, Vietnam, 19-21 November 2014.

 
• Delivered a talk entitled ``Three Scalable IT-driven Engines for Better Indian Agriculture: eSagu, eAgromet and Virtual Crop Labs'', at IBM Regional Technical Exchange-India 2014, 18-19 September 2014.

 
• Delivered a panel talk entitled ''Data Science Based Decision Support Systems for Better Agriculture'' at XRCI Open Symposium 2014, March 14, 2014.

 
• Delivered invited talk entitled ''Three Scalable IT-driven Engines for Better Indian Agriculture: eSagu, eAgromet and Virtual Crop Labs, at the International Conference on Cloud, Big Data and Trust (ICCBDT - 2013), November 13 - 15, 2013, Organized by Rajiv Gandhi Proudyogiki Vishwavidyala, Bhopal in collaboration with EMC^2.

 
• Delivered a seminar talk entitled ''Empowering Indian Farmers by Building an IT-based Scalable and Location-specific Agro-advisory System'', May 9, 2013, Robert Bosch Centre for Cyber Physical Systems (RBCCPS) at the Indian Institute of Science (IISc), Bangalore.

 
• Delivered invited talk entitled ''Empowering Indian Farmers by Building an IT-based Scalable and Location-specific Agro-advisory System'', at the Workshop on Cyber-Physical Systems: Applications and Open Challenges, March 22-23,2013, IIT Hyderabad Campus.

 
• Delivered an invited talk entitled ''A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education'', at First International Conference on Big data Analytics (BDA 2012), New Delhi, India, December 24-26, 2012.

 
• Delivered an invited talk entitled ``An IT-based Scalable System to Disseminate Location-specific Best Agriculture Practices to all Farmers'', Global Consultation on ''Innovative ICT and Knowledge Sharing Platforms for Revitalizing Agricultural Extension and Education: Opportunities and Challenges'', 3-4, December 2012, Infosys Campus, Hyderabad, India.

 
• Delivered an invited talk entitled ``An IT-based Scalable System to Disseminate Location- specific Best Agriculture Practices to all Farmers'', FOOD 360: International Conference-Cum-Exhibition on Agribusiness and Food Processing on 5-6 November 2012 at Hyderabad, India.

 
• Participated as a panel member at THE CHALLENGE TO PRODUCE MORE FOOD & ENERGY WITH LESS POLLUTION: TOWARDS A GLOBAL NITROGEN ASSESSMENT, 18 October 2012, at the side event of Eleventh meeting of the Conference of the Parties to the Convention on Biological Diversity (CBD COP11), Hyderabad, India.

 
• Delivered a talk entitled ``Knowledge Management in eSagu (IT-based Personalized Agro-Advisory System)'' at workshop on Knowledge Management and Documentation Skills Training for Public Servants, 7 February 2012, Institute of Management in Government, Trivandrum, Kerala, (Organized by Center for Innovations in Public Systems, Administrative Colledge of India, Hyderabad and Institute of Management in Government, Trivandrum, Kerala).

 
• Delivered a talk entitled ``ICTs to Improve Agriculture Productivity: Experiences of eSagu and eAgromet'' at the Workshop on Innovations in Governance, 20 January 2012, Vikas Soudha, Bangalore, India

 
• Delivered a talk entitled ``ICTs to Improve Agriculture Productivity: Experiences of eSagu and eAgromet'' at ACM SIGMOD-Japan Chapter Conference, 15 December 2011, Institute of Industrial Science, University of Tokyo, Japan.

 
• Delivered a talk entitled ``eAgromet: ICT-enabled Agro-Meteorological Advisory System'' at Fifth Annual Review Meeting on Integrated Agromet Advisory Service, Agartala, Tripura, October 18-20, 2011.

 
• Delivered a talk at ``Technology Vision 2035: Brain storming meeting on Information and Communication Technologies'', TIFAC, New Delhi, 1 September 2011.

 
• Delivered an invited talk entitled ``ICTs to Improve Agriculture Productivity: eSagu and eAgromet'' at INDO-US Workshop on Precision Agricultural Techniques and Technologies, February 28 - March 3, 2011,Panjab Agricultural University, Ludhiana (India).

 
• Delivered an invited talk entitled ``ICTs in Agriculture: Experiences of eSagu and a Way Forward'' at 14th National Conference on e-Goveranance, 10-11 February 2011, Aurangabad, Maharastra, India.

 
• Delivered a panel talk entitled, ``ICT for Emerging Markets: Experiences, Challenges, Insights'', at The third International Conference on COMmunication Systems and NETworkS (COMSNETS 2010), January 2010, Bangalore India.

 
• Presented an invited talk on “eSagu: An IT-based Personalized Agro-Advisory System”, at “International Symposium Tech For Food 2009”, Paris, Feb 25, 2009.

 
• Delivered an invited talk, on 23rd January 2008, entitled “eSagu: An IT-based Personalized Agro-Advisory System to Track Every Farm”, at National Seminar “Technology, Public Policy and Development: Shifting Contexts, Transforming Agendas” (22nd to 24th January, 2009), organized School of Social Sciences, University of Hyderabad, Andhra Pradesh.

 
• Delivered an invited talk entitled “eSagu: An IT-based Personalized Agro-Advisory System” in one day workshop on Neem on 5th December 2008 at Kochi, Kerala, organized by SPICEBOARD, Ministry of Chemicals and Fertilizers, Government of India, 5th December 2008.

 
• Delivered two talks on 30-08-08, at Management Development Programme on Data Mining and GIS for Decision Support in Agriculture held at Indian Institute of Management, Lucknow, August 25-September 5, 2008.

 
• Presented a talk on challenges on economic development at StockHolm Challenge Finalists Meet 2008, May 19-22, 2008.

 
• Delivered invited talk on eSagu project was given at Electronics and Information Technology Exhibition (ELITEX 2007), Ministry of Communications and Information Technology, January 10-11, 2007.

 
• Delivered invited talk on eSagu project was delivered at National Workshop on ICT for Rural Financial Services - Feb 05-06, 2007, CAB, Pune.

 
• Delivered invited talk on eSagu project at Buyer-Seller Meet and Conference on Fruit Industry of Himachal Pradesh, 29-30 November 2006, Shimla, Himachal Pradesh, organized by Indian Society of Agribusiness Professionals and Apple Growers' Association of India.

 

Research projects

1. Project title: Efficient Knowledge Transfer: Data Science-based Farming Support System for Sustainable Crop Production under Climatic Change
   Duration: 5 years (April 2017 to March 2022)
   Funding agency: Indian Department of Science and Technology (DST) and Japan Science and Technology Agency (JST)
   Role: Chief Investigator
   

 
2. Project title: An IT Driven Personalized Agri-facilitator for better farming for 30 villages in Ranga Reddy District.
   Duration: One year (June 2015 - May 2018)
   Project cost: 35 lakhs
   Funding Agency: Bharat Electroonics Limited
   Role: Chief Investigator
   

 
3. Project title: An IT Driven Personalized Agri-facilitator for better farming for 30 villages in Medak District.
   Duration: One year (March 2015 - February 2016)
   Project cost: 42 lakhs,
   Funding Agency: Bharat Dynamics Limited
   Role: Chief Investigator
   

 
4. Project Title: Village Level eSagu: A Prototype in Karnool District
   Duration: One year (Mar-2012- May 2013)
   Project cost: Rs.17.75 lakhs
   Funding Agency: Centre for Good Governance (CGG), Hyderabad, India.
   Role: Chief Investigator
   

 
5. Project Title: eAgromet: ICT-enabled Integrated Agro-Meteorological Advisory System
   Duration: Two years (February 2011- January 2013)
   Amount: 74.33 lakhs
   Funding Agency: Indian Meteorological Department, Ministry of Earth Sciences.
   In Collaboration with: Agromet Cell, Acharya NG Ranga Agricultural University.
   Role: Chief Investigator
   

 
6. Project title: Enabling farmers to mango and sweet orange crops through eSagu agro-advisory under NREGS-Andhra Pradesh
   Duration: December 2008 to November 2009
   Amount: Rs 8.31 lakhs
   Funding Agency: Department of Rural Development, Andhra Pradesh
   Role: Chief Investigator
   

 
7. Project Title: Investigating eSagu-based-Multi modal service to roleout integrated Agri-services program
   Duration: one year (July 2008 to June 2009)
   Amount: 30 Lakhs
   Funding agency: Media Lab Asia
   Role: Chief-investigator
   

 
8. Project Title: Data/Information capture dissemination and Discovery solution to farmers in remote areas
   Duration: Two years (April 2007 to March 2009)
   Amount: 17.83 lakhs.
   Funding Agency: NOKIA
   Role: Chief-Investigator

 
9. Project Title: eSagu--- Productization, Optimization, and Developing a Business Model
   Duration: One year (November 2006- October 2007)
   Amount= Rs. 351.05 lakhs
   Funding Agency: Media Lab Asia
   Role: Chief-Investigator

 
10. Project Title: Interim Project on eSagu
    Duration: Three months (August 2006 . October2006); Amount: 17.40 lakhs
    Funding Agency: Media Lab Asia
    Role: Chief-Investigator

 
11. Project Title: Building a Cost-effective and Personalized eSagu
    Duration: One year (August 2005 - July 2006)
    Amount: 145.84 lakhs
    Funding Agency: Media Lab Asia
    Role: Chief-investigator

 
12. Project Title: Web-based Agricultural Information Dissemination System
    Duration: One year (April 2004- July 2005)
    Amount: 62.11 lakhs
    Funding Agency: Ministry of Communication and Information Technology, New Delhi.
    Role: Chief Investigator.

M.S / Ph.D students

• Name: T. Ragunathan
  Degree: Ph.D.
  Thesis Title: Speculation-based protocols for improving the performance of read-only transactions, November 2010.
 
• Name: R. Uday Kiran
  Degree: Ph.D,
  Thesis Title: Improved multiple minimum support based approaches to mine frequent patterns, September 2011.
 
• Name: M.Kumaraswamy
  Degree: Ph.D.
  Thesis Title: Concept Hierarchy Based Diverse Frequent Patterns, August 2019.
 
• Name: A. Mamatha
  Degree: Ph.D.
  Thesis Title: Improving Reuse in Weather-based Decision Support Systems, November 2022.
 
• Name: Sumit Maheswari
  Degree: Master of Science by Research
  Thesis Title: Mining special features to improve the performance of product selection in E-commerce environment and resume extraction system, March 2010.
 
• Name: M.Kumaraswamy
  Degree: Master of Science by Research
  Thesis Title: An improved context-based user interface by exploiting temporality of attributes for desktop and small screens, April 2010.
 
• Name: Gaurav Ruhela
  Degree: Master of Science by Research
  Thesis Title: Exploring open web directory for improving the performance of text document clustering, May 2010.
 
• Name: Mohit Goel
  Degree: Master of Science by Research
  Thesis Title: Extending Speculation to process distributed read-only transactions (ROTs) and analysis of semantics-based ROTs processing protocol with Benchmarks, June 2011.
 
• Name: S. Bhargav
  Degree: Master of Science by Research
  Thesis Title: Data analysis approaches for improved online banner advertisement placement and identifying changes in suitable crop cultivation period, June 2011.
 
• Name: Abhishek Sainani
  Degree: Master of Science by Research
  Thesis Title: Extracting special information to improve the efficiency of resume selection process, September 2011.
 
• Name: Akshat Surana
  Degree: Master of Science by Research
  Thesis Title: Interestingness measures for rare association rules and periodic-frequent patterns, October 2011.
 
• Name: Somya Srivastava
  Degree: Master of Science by Research
  Thesis Title: Discovering diverse-frequent patterns in transactional databases, October 2012.
 
• Name: Mohak Sharma
  Degree: Master of Science by Research
  Thesis Title: Improved neighborhood approaches for collaborative filtering, February 2013.
 
• Name: Sushanta Kumar
  Degree: Master of Science by Research
  Thesis Title: Similarity analysis of legal judgments and applying ‘Paragraph-link’ to find similar legal judgments, April 2014.
 
• Name: Ammar Yasir
  Degree: Master of Science by Research
  Thesis title: Enhancing the query by object approach using schema summarization techniques, July 2015.
 
• Name: Atmakuri Venkata Trinath
  Degree: Master of Science by Research
  Thesis title: An approach to extract content-specific coverage patterns, December 2015.
 
• Name: Raghav Kalyanasundaram
  Degree: Master of Science by Research
  Thesis title: Exploring the knowledge of citations in legal information retrieval, July 2017.
 
• Name: Amar Buddhiraja
  Degree: Master of Science by Research
  Thesis title: Exploiting ad space of long tail queries through concept based bidding in sponsored search, July 2017.
 
• Name: Anirudh Alampally
  Degree: Master of Science by Research
  Title: Mining Periodic Frequent Patterns using Period Summary and Map-Reduce, December 2017.
 
• Namme: J. N. Venkatesh
  Degree: Master of Science by Research
  Thesis Title: Improved Approaches to Mine Periodic-Frequent Patterns in Non-Uniform Temporal Databases, March 2018.
 
• Vaddadi Naga Sai Kavya
  Degree: Master of Science by Research
  Thesis Title: Coverage Patterns based allocation approaches for Display Advertising, June 2018.
 
• Rishabh Gupta
  Degree: Master of Science by Research
  Thesis Title: Towards Content Improvement on Community Driven Question Answering Platforms: A Stack Overflow Case Study, July 2019.
 
• Vyshnavi Gutta
  Degree: Master of Science by Research
  Thesis Title: A Cluster-centric Batch-based Question Answering Approach for Fine-grained Object Recognition, April 2020.
 
• Lakshmi Gangumalla
  Degree: Master of Science by Research
  Thesis Title: Multi-location Visibility Query and It’s Processing, May 2020.
 
• Narendra Babu Unnam
  Degree: Master of Science by Research
  Thesis Title: Crop Darpan: Engineering crop diagnosis framework by extending the concept of generalization/specialization – A prototype for Cotton crop, June 2020.
 
• Akhil Ralla
  Degree: Master of Science by Research
  Thesis Title: MapReduce based and Incremental Approaches to Extract Coverage Patterns from Large Transactional Databases, November 2020.
 
• Revanth Rathan Parvathaneni
  Degree: Master of Science by Research
  Thesis Title: Discovering Popular Paths and Management of Billboard Ads by Mining User Trajectory Data, April 2021.
 
• Tatikonda Yashwanth Reddy
  Degree: Master of Science by Research
  Thesis Title: Efficient Mining of Frequent and Periodic High-Utility Patterns From Transactional Databases, April 2021.
 
• Chinmay Bapna
  Degree: Master of Science by Research
  Thesis Title: A Generalized High-Utility Itemset Framework for Improving Product Placement in Retail, November 2021.
 
• Kotni Amulya
  Degree: Master of Science by Research
  Thesis Title: MapReduce based Approaches to Extract Correlated Patterns and Weighted Frequent Patterns, November 2021.
 
• Pradeep Pallikila
  Degree: Master of Science by Research
  Thesis Title: Improved Approaches to Discover Weighted and High Utility Itemsets, December 2021.
 

Data Mining, Knowledge Discovery

• R. Uday Kiran, P. P. C. Reddy, K. Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy, Efficient Discovery of Weighted Frequent Neighborhood Itemsets in Very Large Spatiotemporal databases, IEEE Access PP(99):1-1, January 2020

 
• M. Kumaraswamy and P.Krishna Reddy, A model of concept hierarchy-based diverse patterns with applications to recommender system, International Journal of Data Science and Analytics, 1-15, 2020.

 
• Narendra Babu Unnam and P.Krishna Reddy. A Document Representation Framework with Interpretable Features using Pre-trained Word Embeddings", International Journal of Data Science and Analytics, 2019, Springer.

 
• Vyshnavi Gutta, Narendra Babu Unnam, P. Krishna Reddy: An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering. ACM India Joint International Conference on Data Science & Management of Data , COMAD/CODS 2020: 134-142, 5-7 January 2020.

 
• Akhil Ralla, Shadaab Siddiqie, P. Krishna Reddy, Anirban Mondal: Coverage Pattern Mining Based on MapReduce. COMAD/CODS 2020: ACM India Joint International Conference on Data Science & Management of Data , OMAD/CODS 2020: 209-213, 5-7 January 2020.

 
• P. P. C. Reddy, R. Uday Kiran, Koji Zettsu, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases. 7th International Conference on Big Data Analytics 2019 (BDA 2019), Lecture Notes in Computer Science 11932, Springer, pp. 287-306.

 
• Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy: Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings. Lecture Notes in Computer Science 11932, Springer 2019, ISBN 978-3-030-37187-6.

 
• C Saideep, RU Kiran, K Zettsu, P Fournier-Viger, M Kitsuregawa, P.Krishna Reddy, Discovering Periodic Patterns in Irregular Time Series, 2019 International Conference on Data Mining Workshops (ICDMW), 1020-1028.

 
• R. Uday Kiran, P.P.C. Reddy, K Zettsu, M Toyoda, M Kitsuregawa, P.Krishna Reddy, Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases 2019 International Conference on Data Mining Workshops (ICDMW), 987-996.

 
• Lakshmi Gangumalla and P. Krishna Reddy and Anirban Mondal, Multi-location visibility query processing using portion-based transactional modeling and pattern mining", Data Mining and Knowledge Discovery. 33(5): 1393-1416 (2019), Springer.

 
• Parul Chaudhary, Anirban Mondal, Polepalli Krishna Reddy: An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores. 30th International Conference on Database and Expert Systems Applications, DEXA (1) 2019: 287-303.

 
• P. Revanth Rathan, P. Krishna Reddy, Anirban Mondal: Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining. 30th International Conference on Database and Expert Systems Applications, DEXA (1) 2019: 327-337.

 
• T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Partial Periodic High Utility Itemsets in Temporal Databases, 30th International Conference on Database and Expert Systems Applications, DEXA (2) 2019: 351-361.

 
• R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. 31st International Conference on Scientific and Statistical Database Management (SSDBM 2019): 49-60

 
• Rge Uday Kiran, Alampally Anirudh, Chennupati Saideep, Masashi Toyoda, P. Krishna Reddy, and Masaru Kitsuregawa, ``Finding Periodic-Frequent Patterns in Temporal Databases using Periodic Summaries,'' Data Science and Pattern Recognition, Vol. 3(2), pp. 23-47, 2019

 
• R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD (2) 2019: 191-203.

 
• Amar Budhiraja, Akhil Ralla, P. Krishna Reddy, Coverage Patterns Based Framework to Improve Search Engine Advertising, International Journal of Data Science and Analytics 2019, September 2019, 8(2), pp 199-211,Springer.

 
• Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P. Krishna Reddy, Durvasula V. L. N. Somayajulu: Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings. Lecture Notes in Computer Science 11297, Springer 2018, ISBN 978-3-030-04779-5.

 
• J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, and Masaru Kitsuregawa, Discovering Periodic-Correlated Patterns in Temporal Databases, Transactions on Large-Scale Data and Knowledge-Centered Systems 38, 146-172 (2018), Springer.

 
• R. Uday Kiran, Amulya Kotni, P. Krishna Reddy, Masashi Toyoda, Subhash Bhalla and Masaru Kitsuregawa, Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit, 2018 2018 IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, USA

 
• Parul Chaudhary, Anirban Mondal, Polepalli Krishna Reddy: A Diversification-Aware Itemset Placement Framework for Long-Term Sustainability of Retail Businesses, International Conference on Database and Expert Systems Applications 2018 ( DEXA (1) 2018): 103-118.

 
• Amulya Kotni, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms, International Conference on Big Data Analytics and Knowledge Discovery 2018 ( DaWaK 2018): 355-370.

 
• Alugubelly Mamatha, P. Krishna Reddy, Anirban Mondal, Seishi Ninomiya, G. Sreenivas: A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions. 5th International Conference on Big Data Analytics 2015 (BDA 2017), Hyderabad, India, BDA 2017: 40-58.

 
• Parul Chaudhary, Anirban Mondal, Polepalli Krishna Reddy: A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes. 5th International Conference on Big Data Analytics 2015 (BDA 2017), Hyderabad, India, BDA 2017: 257-277

 
• P. Krishna Reddy, Ashish Sureka, Sharma Chakravarthy, Subhash Bhalla: Big Data Analytics - 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings. Lecture Notes in Computer Science 10721, Springer 2017, ISBN 978-3-319-72412-6

 
• Rishabh Gupta, P.Krishna Reddy, Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study, 2017 IEEE International Conference on Big Knowledge (ICBK 2017), 41-48.

 
• Mittapally Kumara Swamy, P. Krishna Reddy, Subhash Bhalla: Association Rule Based Approach to Improve Diversity of Query Recommendations. DEXA (2) 2017: 340-350

 
• Alampally Anirudh, R. Uday Kiran, P. Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa: An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns. DaWaK 2017: 120-129

 
• R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Periodic Patterns in Non-uniform Temporal Databases. 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD (2) 2017: 604-617, Jeju Island, Korea

 
• Amar Budhiraja and P.Krishna Reddy, An Improved Approach for long tail advertising in Sponsored Search, in the proceedings of 22nd International Conference on Database Systems For Advanced Applications (DASFAA 2017), March 27-30, 2017, Suzhou, China.

 
• R.Uday Kiran, J.N.Venkatesh, Masashi Toyoda, Masaru Kitsuregawa, P.Krishna Reddy, Discovering Partial Periodic-Frequent Patterns in a Transactional Database, The Journal of Systems & Software, 125: 170 - 182 (2017) Elsevier.

 
• Anirudh Alampally, Uday Kiran R, Krishna Reddy P and Masaru Kitsuregawa, Memory Efficient Mining of Periodic Frequent Patterns in Transactional Databases, 2016 IEEE Symposium Series on Computational Intelligence (SSCI 2016), December 6-9, 2016, Athens, Greece.

 
• K.Raghav, P.Krishna Reddy, V.Balakista Reddy, Analyzing the Extraction of Relevant Legal Judgments using Paragraph-level and Citation Information, Artificial Intelligence for Justice (AI4J) Workshop, held at the 22nd European Conference on Artificial Intelligence (ECAI 2016), 2016, pp. 30-37.

 
• J. N. Venkatesh, R. Uday Kiran, P. Krishna Reddy, Masaru Kitsuregawa: Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence, 27th International Conference on Database and Expert Systems Applications (DEXA 2016), September 5-8, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9827, pp 55-70.

 
• Vaddadi Naga Sai Kavya, P. Krishna Reddy: Coverage Patterns-Based Approach to Allocate Advertisement Slots for Display Advertising, 16th International Conference on Web Engineering (ICWE 2016), Volume 9671 of Lecture Notes in Computer Science, pp. 152-169.

 
• Karnam Dileep Kumar, Polepalli Krishna Reddy, Pailla Balakrishna Reddy, Longbing Cao: Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood. 8th Asian Conference on Intelligent Information and Database Systems 14-16 March 2016 (ACIIDS2016), Volume 9622, Lecture Notes in Computer Science pp 201-210.

 
• Rishabh Gupta, P. Krishna Reddy: Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. Proceedings of the 3rd IKDD Conference on Data Science, 2016, Article no.13.

 
• Vaddadi Naga Sai Kavya, P. Krishna Reddy: An Approach to Allocate Advertisement Slots for Banner Advertising, Proceedings of the 3rd IKDD Conference on Data Science, 2016, Article no.22.

 
• R.Uday Kiran, Masaru Kitsuregawa, P.Krishna Reddy, Efficient Discovery of Periodic-Frequent Patterns in Very Large Databases, The Journal of Systems & Software, 112: 110-121 (2016) Elsevier.

 
• P. Krishna Reddy: A Framework to Harvest Page Views of Web for Banner Advertising. 4th International Conference on Big Data Analytics 2015 (BDA 2015), Hyderabad, India, December 15-18, 2015, pp. 57-68, Lecture Notes in Computer Science 9498, Springer.

 
• D. Satheesh Kumar and P.Krishna Reddy, Improved Approach for Protein Function Prediction by Exploiting Prominent Proteins, 2015 IEEE International Conference on Data Science & Advanced Analytics (DSAA2015), 19-21, October 2015, Paris.

 
• Amar Budhiraja and P.Krishna Reddy, An Approach to Cover More Advertisers in Adwords, 2015 IEEE International Conference on Data Science & Advanced Analytics (DSAA2015), 19-21, October 2015, Paris.

 
• Mittapally Kumara Swamy, P. Krishna Reddy:Improving Diversity Performance of Association Rule Based Recommender Systems. proceedings of 26th International Conference on Database and Expert Systems Applications, DEXA (1) 2015: 499-508.

 
• D. Satheesh Kumar, P.Krishna Reddy, Relaxed Neighbor Based Approach for Improving Protein Function Prediction, Proceedings of the Second ACM IKDD Conference on Data Sciences 2015 (CoDS2015) Pages 138-139.

 
• K. Raghav, Pailla Balakrishna Reddy, V. Balakista Reddy, Polepalli Krishna Reddy: Text and Citations Based Cluster Analysis of Legal Judgments. MIKE 2015: 449-459

 
• D. Satheesh Kumar, Polepalli Krishna Reddy, Nita Parekh: Relaxed Neighbor Based Graph Transformations for Effective Preprocessing: A Function Prediction Case Study. BDA 2014: pp. 114-128, LNCS 8883, Springer.

 
• Venkata Trinath Atmakuri, Gowtham Srinivas Parupalli and Krishna Reddy Polepalli, Content Specific Coverage Patterns for Banner Advertisement Placement, International Conference on Data Science and Advanced Analytics (DSAA2014), 30 October to 1 November 2014 Shanghai, China.

 
• P.Gowtham Srinivas, P. Krishna Reddy, A.V. Trinath, S. Bhargav, R. Uday Kiran. Mining coverage patterns from transactional databases, Journal of Intelligent Information Systems, Springer, 45(3): 423-439 (2015).

 
• Mittapally Kumara Swamy, P. Krishna Reddy, Somya Srivastava: Extracting Diverse Patterns with Unbalanced Concept Hierarchy. 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2014), May 13-16, 2014, Lecture Notes in Artificial Intelligence, Vol. no. 8443, pp. 15-27.

 
• Gowtham Srinivas Parupalli, P. Krishna Reddy and A.V. Trinath, CPPG: Efficient Mining of Coverage Patterns using Projected Pattern Growth Technique, The third Quality issues, Measures of Interestingness and Evaluation of data mining models workshop (QIMIE'13) held in association with 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2013), Gold Coast, Australia, April 14-17, 2013.

 
• Sushanta Kumar, P. Krishna Reddy, V. Balakista Reddy, Malti Suri: Finding Similar Legal Judgements under Common Law System. 8th International Workshop on Databases in Networked Information Systems (DNIS2013), JAPAN, March 25-27, 2013, Lecture Notes in Computer Science, vol. 7853, pp. 103-116, Springer-Verlag, 2013.

 
• P. Gowtham Srinivas, P. Krishna Reddy, Bhargav Sripada, R. Uday Kiran, D. Satheesh Kumar. Discovering Coverage Patterns for Banner Advertisement Placement. Proceedings of 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Lecture Notes in Computer Science 7302, 2012, pp. 133-144, Springer 2012.

 
• Abhishek Sainani, P. Krishna Reddy and Sumit Maheshwari, Mining Special Features to Improve the Performance of e-Commerce Product Selection and Resume Processing, International Journal of Computational Science and Engineering (IJCSE), Vol.7, No.1, 2012, Inderscience Publishers, pp.82-95.

 
• M.Kumara Swamy, P. Krishna Reddy, R. Uday Kiran, and M. Venugopal Reddy, Temporality-based User Interface Design Approaches for Desktop and Small Screens, International Journal of Computational Science and Engineering (IJCSE), Vol.7, No.1, 2012, Inderscience Publishers, pp.52-64.

 
• Somya Srivastava, R. Uday Kiran and P. Krishna Reddy, Discovering Diverse-Frequent Patterns in Transactional Databases, in the Proceedings of 17th International Conference on Management of Data 2011 (COMAD 2011), December 19-21, 2011, Bangalore, India.

 
• Mohak Sharma, P. Krishna Reddy, R. Uday Kiran, T. Ragunathan: Improving the Performance of Recommender System by Exploiting the Categories of Products, 7th International Workshop on Databases in Networked Information Systems (DNIS2011), JAPAN, December 12-14, 2011, Lecture Notes in Computer Science, vol. 7108, pp. 137-146, Springer-Verlag, 2011.

 
• Akshat Surana, R. Uday Kiran and P. Krishna Reddy, An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases, in the proceedings of The Second Workshop on Quality issues, measures of interestingness and evaluation of data mining models (QMIE 2011), held in conjunction with 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Shenzhen, China, May 24-27, 2011.

 
• R.Uday Kiran and P.Krishna Reddy, Discovering Concentrated-Frequent Patterns in Transactional Databases, in the proceedings of 16 International Conference on Database Systems For Advanced Applications (DASFAA 2011), April 22-25, 2011, Hong Kong, China.

 
• S. Bhargav, P.Krishna Reddy, and R. Uday Kiran, Coverage Patterns For Efficient Banner Advertisements Placement (poster), 20th International World Wide Web Conference 2011 (WWW2011), 28 March- April 1, 2011, Hyderabad, India.

 
• Mohak Sharma and P.Krishna Reddy, Using Lower-Bound Similarity to Enhance the Performance of Recommender Systems, in the proceedings of ACM Compute 2011, March 25-26, 2011 , Bangalore, Karnataka, India.

 
• Sushanta Kumar and P.Krishna Reddy, Similarity analysis of legal judgments, in the proceedings of ACM Compute 2011, March 25-26, 2011, Bangalore, Karnataka, India.

 
• R.Uday Kiran and P.Krishna Reddy, Novel Techniques to Reduce Search Space in Multiple Minimum Supports-Based Frequent Pattern Mining Algorithms, 14th International Conference on Extending Database Technology, March 22-24, 2011 (EDBT 2011), Sweden.

 
• Akshat Surana, R. Uday Kiran, ans P.Krishna Reddy, Selecting a Right Interestingness Measure for Rare Association Rules, in the Proceedings of 16th International Conference on Management of Data 2010 (COMAD 2010), December 8-10, 2010, Nagpur, India.   [PDF]

 
• R.Uday Kiran and P.Krishna Reddy, Towards Efficient Mining of Periodic-Frequent Patterns in Transactional Databases, proceedings of 21st International Conference on Database and Expert Systems Applications (DEXA 2010), Spain, September 2010. Published by Springer Verlag.

 
• R.Uday Kiran and P. Krishna Reddy, A Pattern Growth Approach to Mine Rare Association Rules Using Maximum Items' Support Constraints, in the proceedings of BNCOD 2010 - the 27th International Information Systems Conference, Scotland, July 2010. Published by Springer Verlag.

 
• R.Uday Kiran and P.Krishna Reddy, Improved Approaches To Mine Rare Association Rules in Transactional Databases, proceedings of the Fourth ACM SIGMOD PhD Workshop on Innovative Database Research (IDAR 2010), June 11, 2010, Indianapolis, USA.

 
• R.Uday Kiran and P.Krishna Reddy, Mining Rare Association Rules in the Data Sets in Where Items. Frequencies Vary Widely, , in the proceedings of 15 International Conference on Database Systems For Advanced Applications (DASFAA 2010), April 1-4, 2010, Tsukuba, Japan.

 
• Sumit Maheshwari, Abhishek Sainani, and P.Krishna Reddy An Approach to Extract Special Skills to Improve the Performance of Resume Selection 6th International Workshop on Databases in Networked Information Systems (DNIS2010), The University of Aizu, JAPAN, Mar 29-31, 2010, Lecture Notes in Computer Science, vol. 5999, Springer-Verlag, 2010.

 
• R.Uday Kiran and P.Krishna Reddy, Mining Periodic-Frequent Patterns Using Multiple Minimum Supports, 15th International Conference on Management of Data (COMAD 2009) 2009, December 9-12, Mysore, India.

 
• R.Uday Kiran and P.Krishna Reddy, An Improved Frequent Pattern-growth Approach to Discover Rare Association rules, in the proceedings of International Conference on Knowledge Discovery and Information Retrieval (KDIR 2009), 6-8, October 2009, Madeira, Portugal.

 
• Sumit Maheshwari and P.Krishna Reddy, Discovering Special Product Features for Improving the Process of Product Selection in E-commerce Environment, in the proceedings of The 11th International Conference on Electronic commerce (ICEC 2009), August, 11-15, 2009, Taipai, Taiwan, Published by ACM.

 
• Gaurav Ruhela and P. Krishna Reddy, Improving Text Document Clustering by Exploiting Open Web Directory, in the proceedings of the Twenty-First International Conference on Software Engineering and Knowledge Engineering (SEKE'09), Boston, USA, July 1-3, 2009.

 
• Gaurav Ruhela and P. Krishna Reddy, BoostWeight: An Approach to Boost the Term Weights in Document Vector by Exploiting Open Web Directory, Proceedings of the 2009 International Conference on Information and Knowledge Engineering (IKE'09), Las Vegas, USA, July 13-16, 2009.

 
• R.Uday Kiran and P.Krishna Reddy, An Improved Multiple Minimum Support Based Approach to Mine Rare Association Rules, IEEE Symposium on Computational Intelligence and Data Mining, 2009 (CIDM 2009), Published by IEEE, March 30- April 2, 2009.

 
• D.Ravishankar, Prdeep Beerla, and P.Krishna Reddy, Leader-page resources in the World Wide Web, Proceedongs of 12th International Conference on Management of Data (COMAD 2005b), December 20-22, Hyderabad, India, 2005. [PDF]    [Abstract]  

 
• P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao, and P. Krishna Reddy, An Improved Approach to Extract Document Summaries Based on Popularity, International Workshop on Databases in Networked Information Systems (DNIS), University of Aizu, Japan, March 28 - 30, 2005, Lecture Notes in Computer Science, Springer-Verlag. 

 
• Pankaj Kumar Madhukar, Rakesh Kumar and P.Krishna Reddy, A Recommender System for Indian Movies,Proceedings of the 7th International Conference on Information Technology (CIT 2004), Hyderabad, India, December 2004, Universities Press, pp 338-346. 

 
• Rajat Gupta, BVL Narayana, P.Krishna Reddy, GV Ranga Rao, CLL Gowda, YVR Reddy, and C.Ramamurthy, Understanding Helicoverpa armigera Pest Population Dynamics related to chickpea crop using neural networks, Third International Conference on Data Mining (ICDM2003), Florida, USA, November, 19-22,2003, IEEE Computer Society Press. [PDF]    [Abstract]  

 
• P.Krishna Reddy, Masaru Kitsuregawa, P.Sreekanth and S.Sreenivasa Rao, A graph based approach to extract a neighborhood customer community for collaborative filtering. Subhash Bhalla (Ed.), Databases in Networked Information Systems (DNIS 2002), Lecture Notes in Computer Science 2544, pp. 188-200, December 2002. 

 
• P.Krishna Reddy and Masaru Kitsuregawa, An approach to build a cyber-community hierarchy, Workshop on Web Analytics (WWA2002), April 13, 2002, held in Conjunction with Second  SIAM International Conference on Data Mining (SDM 2002), Arlington, VA, USA.  [PDF]    [Abstract]

 
• P.Krishna Reddy and Masaru Kitsuregawa, An Approach to find related communities Based on dense bipartite graphs, IEIC technical report (Institute of Electronics, Information and Communication Engineers), Vol 101; NO.193 (DE2001 78-104); PAGE.7-14 (2001), Japan.

 
• P.Krishna Reddy and Masaru Kitsuregawa, An approach to relate the web communities through bipartite graphs,  The Second International Conference on Web Information Systems Engineering (WISE2001), 3 - 6 December 2001, IEEE Computer Society.

IT for Agriculture and Rural Development

• P Krishna Reddy, U Narendra Babu, P Revanth Rathan, A Srinivas Reddy, BalajiNaik Banoth and Seishi Ninomiya, Building a smart phone based field diagnosis guide for farmers by extending the concept of generalization, XIX International Plant Protection Congress (IPPC 2019), 10-14, November 2019, Hyderabad, India.

 
• P.Krishna Reddy, U.Narendra Babu, P. Revanth Rathan, A.Srinivas Reddy, Balaji Naik Banoth, Seishi Ninomiya. A Smart Phone Based Field Diagnosis Guide for Farmers. (Abstract) 4th International Conference on Agriculture & Animal Husbandry, University of Hyderabad, Hyderabad, India, August 2019, p. 105.

 
• Rehana S, Krishna Reddy P, Sai Bhaskar Reddy N, Abdul Raheem Daud, Shoaib Saboory, Shoaib Khaksari, Tomer SK. Regional scale spatiotemporal trends of precipitation and temperatures over Afghanistan. Climate Change, 2019, 5(19), 141-149.

 
• Mamatha Alugubelly, Krishna Reddy Polepalli, Sreenivas Gade, Seishi Ninomiya. Analysis of similar weather conditions to improve reuse in weather-based decision support systems. Computers and Electronics in Agriculture 157 (2019) 154-165, Elsevier.

 
• P. Krishna Reddy, U. Narendra Babu, A. Mamatha, Vaishnavi Gutta, N.Lavanya, Balaji Naik Banoth, G.Sreenivas, Seishi Ninomiya, Towards Building a Field Diagnosis Guide for Farmers, In the Proceedings of Research Frontiers in Precession Agriculture (Extended Abstract), AFITA/WCCA 2018 Conference, IIT Bombay, India, October 24-26, 2018.

 
• P. Krishna Reddy, Mittapally Kumara Swamy, Chandri Raghava Reddy, Potula Narayana Reddy, Agro-Advisories to Poor and Marginal Farmers through village-level eSagu in Medak District -An Implementation Analysis. In the Proceedings of Research Frontiers in Precession Agriculture (Extended Abstract), AFITA/WCCA 2018 Conference, IIT Bombay, India, October 24-26, 2018.

 
• P. Krishna Reddy, A.Srinivas Reddy, Balaji Naik Banoth, G.Sreenivas, Seishi Ninomiya. An IT-Based Learning System for Improving Field Diagnostic Skills. In the Proceedings of Research Frontiers in Precession Agriculture (Extended Abstract), In the Proceedings of AFITA/WCCA 2018 Conference, IIT Bombay, India, October 24-26, 2018.

 
• P. Krishna Reddy, C. Raghava Reddy, M. Kumara Swamy, P. Narayan Reddy, and K. Nagarani, Providing agro-advisories to poor and marginal farmers through village-level eSagu-An implementation experience in 25 villages, Fifth International Conference on ``Computing for Sustainable Global Development'', 14th - 16th March, 2018, Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA).

 
• Mamatha Alugubelly, P.Krishna Reddy, Sreenivas Gade, Balaji Naik Banoth, IT-based Framework for Block level Agro-meteorological Advisory System, Fifth International Conference on ``Computing for Sustainable Global Development'', 14th - 16th March, 2018, Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA).

 
• P.Krishna Reddy, K. Suresh, B.Venkateswar Rao, and A.Sudarshan Reddy, eAquaSagu: A Prrototype Experiment of IT-based Expert Advice Delivery System for Fresh water Fish Farming, Published in the Abstract Souvenir Volume of the International Livestock Conference, (ISAPM 2016), 28-31, Hyderabad, India, page 109, Organized by Southern Chapter, Indian Society of Animal Production and Management.

 
• P.Krishna Reddy, Devi Prasad Juvvadi, M.Kumarawamy, and B.Bhaskar Reddy, Empowering Farmers with Location-Specific Agriculture Knowledge Through Village-level eSagu: An Assessment in 30 Villages International Conference on Good Governance in Agricultural Extension, 3-4 September 2015, Center for Good Governance, Hyderabad, India.

 
• P.Krishna Reddy, ``There is Need for More Agricultural Colleges'', Interview, 27 January 2015, Indian Express News Paper.

 
• A. Mamatha, Polepalli Krishna Reddy, Mittapally Kumara Swamy, G. Sreenivas, D. Raji Reddy: A Framework to Improve Reuse in Weather-Based Decision Support Systems. BDA 2014: 1-13, LNCS 8883, Springer.

 
• P.Krishna Reddy, ''Agriculture: Make Every Farm Wired for Information Technology'', Center Page Article, 2 June 2014, Indian Express News Paper.

 
• P.Krishna Reddy, Producing User Friendly Natural Language Weather Summary from Raw Weather Data, Position paper, Technical Report No: IIIT/TR/2014/-1, IIIT Hyderabad, India.

 
• P. Krishna Reddy, A. V. Trinath, Mittapally Kumara Swamy, Basi Bhaskar Reddy, K. Nagarani, D. Raji Reddy, G. Sreenivas, K. Dakshina Murthy, L. S. Rathore, K. K. Singh, N. Chattopadhyay: Development of eAgromet Prototype to Improve the Performance of Integrated Agromet Advisory Service. 9th International on Databases in Networked Information Systems (DNIS 2014), Lecture Notes in Computer Science, vol.8381, pp. 168-188, Springer-Verlag, 2014.

 
• Narendra Ahuja, Prasanta Kalita, P. Krishna Reddy, and Rameshwar Singh, Information Technology in Agriculture and Food, A Report (64 pages) on the Strategy Formulation Meeting conducted jointly by Information Technology Research Academy(ITRA), Media Lab Asia(MLAsia), and Indian Council of Agricultural Research (ICAR) held on March 16-17, 2013, ICAR-NASC Complex, New Delhi, Report Published on September 21, 2013, Published by ITRA.

 
• P. Krishna Reddy, B.Bhaskar Reddy, D. Rama Rao: A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education, First International Conference on Big data Analytics (BDA 2012), New Delhi, India, LNCS 7678, Springer-Verlag, pp. 62-76, December 24-26, 2012.

 
• P.Krishna Reddy, B.Bhaskar Reddy, P.Gowtham Srinivas, M.Kumaraswamy, D.Raji Reddy, G.Sreenivas, M.Mahadevaiah, L.S. Rathore, K.K. Singh, N.Chattopadhyay, eAgromet: A Prototype of an IT-Based Agro-Meteorological Advisory System, The 8th Asian Federation for Information Technology in Agriculture (AFITA 2012), Taipei, September 3-6, (2012).

 
• M.Mahadevaiah, D.Raji Reddy, G.Sashikala, G.Sreenivas, P.Krishna Reddy, B. Bhaskar Redddy, K.Nagarani, L.S.Rathore, K.K. Singh, N.Chattopadhyay: A framework to develop content for improving agromet advisories. The 8th Asian Federation for Information Technology in Agriculture (AFITA 2012), Taipei, September 3-6, (2012)

 
• P.Krishna Reddy, V.C.Patil, A.R.Alagawadi, Leisa Armstrong, B.Bhaskar Reddy and D.P.Biradar (Editors): Proceedings of Agro-Informatics and Precision Agriculture 2012, AIPA2012, Hyderabad, 1-3 August 2012, Allied Publishers, 2012 (ISBN: 978-81-8424-772-5).

 
• P.Krishna Reddy, B.Bhaskar Reddy, M Kumaraswamy, Village-Level Esagu: A Scalable And Location-Specific Agro- Advisory System, Proceedings of Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIPA2012), 1-3, August 2012, Hyderabad, India, Organized by INSAIT, pp. 47-52, Published by Allied Publishers.

 
• B.Bhaskar Reddy, P.Krishna Reddy, M Kumaraswamy, A Framework of Crop Specific Virtual Labs to Impart Applied Agricultural Knowledge, Proceedings of Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIPA2012), 1-3, August 2012, Hyderabad India, Organized by INSIAT, pp. 69-74, Published by Allied Publishers.

 
• B.Venkateswar Rao, A.Sudarshan Reddy, and P.Krishna Reddy, P.Krishna Reddy, Impact Analysis and Experience of eSagu Implementation, Proceedings of Third National Conference on Agro-Informatics and Precision Agriculture 2012 (AIPA2012), 1-3, August 2012, Hyderabad, India, Organized by INSAIT, pp. 24-29, Published by Allied Publishers.

 
• P.Krishna Reddy, B.Bhaskar Reddy, P.Gowtham Srinivas, D.Satheesh Kumar, D.Raji Reddy, G.Sreenivas, L.S. Rathore, K.K. Singh, N.Chattopadhyay, eAgromet: An Overview of the Architecture, International Conference on Geospatial Technologies and Applications (geomatrix2012), 26-29 February 2012, Mumbai, India.   [PDF]

 
• P.Krishna Reddy, B.Bhaskar Reddy, P.Gowtham Srinivas, D.Satheesh Kumar, D.Raji Reddy, G.Sreenivas, L.S. Rathore, K.K. Singh, N.Chattopadhyay, eAgromet: An ICT-based agro-Meteorological Advisory System (Invited Academic Demo), 17th International Conference on Management of Data 2011 (COMAD 2011), December 19-21, 2011, Bangalore, India.

 
• P.Krishna Reddy, B.Bhaskar Reddy, P.Gowtham Srinivas, D.Satheesh Kumar, D.Raji Reddy, G.Sreenivas, L.S. Rathore, K.K. Singh, N.Chattopadhyay, The architecture of eAgromet system (abstract), TROPMET-2011: Meteorology for Socio-economic Development, December 14-16, 2011, Hyderabad.

 
• R. Uday Kiran, P. Krishna Reddy, M. Kumara Swamy and G. Syamasundar Reddy , Analyzing Dynamics of Crop Problems by Applying Text Analysis Methods on Farm Advisory Data of eSaguTM, International Journal of Computational Science and Engineering (IJCSE), vol. 5, No.2, 2010, pp. 154-164, InderScience Publishers.

 
• S.Bhargav and P.Krishna Reddy, A framework to identify temperature-based suitable crop cultivation period using sliding window approach, in proceedings of the Workshop on Knowledge Discovery for Rural Systems 2010 (KDRS2010),21 June 2010, Hyderabad, India (held in conjunction with PAKDD2010).

 
• P. Krishna Reddy, G.Shyamasundar Reddy, B.Bhaskar Reddy (2009) Extending ICTs to impart Applied Agricultural Knowledge, in the proceedings of National Conference on Agro-Informatics and Precision Farming (AIPF 2009), December 2-3, College of Agriculture, University of Agricultural Sciences (UAS), Raichur, India.

 
• P.Krishna Reddy, G.Syamasundar Reddy, and B.Bhaskar Reddy, Overview of eSaguTM and Future Plan, IEEE Conference on Technologies for Humanitarian Challenges, 28th August, 2009, Bangalore, India.

 
• B.Venkateswar Rao, P.Krishna Reddy, and A.Sudarshan Reddy, Emerging Challenges in Agricultural Deficiencies in Extension-Scope for Alternative Technologies, Proceedings of XXVII Annual Conference of Andhra Pradesh Economic Association, 14-15 March 2009, School of Management, National Institute of Technology, Warangal, Andhra Pradesh, India, pp. L78-L86.

 
• P.Krishna Reddy (Innovator), Method for On-Site Analysis, The Patent Office Journal, Date of Publication:12/09/2008, Application No.1244/CHE/2006. (Name of the applicants: International Institute of Information Technology and Media Lab Asia, 2008).

 
• G.Shyamasundar Reddy and P.Krishna Reddy, Efficient Implementation of Agri-insurance Schemes by Piggybacking eSagu System, in the book �Rural Insurance: A New Frontier�, ICFAI Press, June 2008.

 
• A.Sudarshan Reddy, B.Venkateshwar Rao and P.Krishna Reddy, Issues in Indian Agriculture in the Sustainable Development Perspective, International Conference on Issues in Public Policy and Sustainable Development, 16-28, March 2008, organized by Indira Gandhi National Open University, New Delhi.

 
• G.Shyamasundar Reddy and P.Krishna Reddy, Efficient Implementation of Agri-insurance Schemes by Piggybacking eSagu System, in the book �Agricultural Risks Management: Challenges and Strategies�, ICFAI Press, pp. 212-236, 2007.

 
• P.Krishna Reddy and GV Ramaraju, eSagu: The next generation IT-based, Query-less, Cost-effective and Personalized Agro-advisory System, Chapter 3 in the book �e-Governance Case Studies�, edited by Ashok Agarwal, Universities Press (India) Private Limited, 2007, pp 70-75.

 
• R.Uday Kiran and P. Krishna Reddy, Understanding the Dynamics of Crop Problems by Analyzing Farm Advisory Data in eSaguTM, 5th International Workshop on Databases in Networked Information Systems (DNIS2007), The University of Aizu, JAPAN, October 17-19, 2007, Lecture Notes in Computer Science, vol. 4777, pp.272-284, Springer-Verlag, 2007.

 
• P.Krishna Reddy, G.Shyamasundar Reddy and GV Ramaraju, Improving the Performance of Loan Recovery and Financial Inclusion for Rural Financial Services with eSaguTM, "Seminar on Rural eEmpowerment" organized by Regional Training College, NABARD, Mangalore, India, October 11-12,2007 [PDF]    [Abstract] .

 
• P. Krishna Reddy, GV Ramaraju, and G.S. Reddy, eSaguTM: A Data Warehouse Enabled Personalized Agricultural Advisory System, Proceedings of ACM Special Interest Group on Management of Data 2007 (ACM SIGMOD 2007), ACM Press, pp.910-914.

 
• P.Krishna Reddy and GV Ramaraju, e-Sagu: The Next Generation IT-based Query-less, Cost-effective and Personalized Agro-Advisory System, Proceedings of First International Conference on ICT Solutions for Socio- Economic Development (ISED 2007), pp. 71-77, C-DAC, Bangalore, India, March 12-13, 2007.

 
• P.Krishna Reddy and GV Ramaraju, eSagu: An IT- based Personalized Agro-advisory System for Augmenting Livelihoods of Farmers., Published by Solution Exchange, a United Nations Initiative for Development Practitioners in India, [http://www.solutionexchange-un.net.in/emp/e-discuss/res11070719.pdf, December 2006] .

 
• B.V.Ratnam, P.Krishna Reddy, and G.S.Reddy, eSagu: An IT based personalized agricultural extension system prototype--analysis of 51 Farmers' case studies, International Journal of Education and Development using ICT (IJEDICT), Vol.2, No.1(2006) [PDF]    [Abstract]

 
• P.Krishna Reddy, Futuristic Farming - eSagu, Future Byte, Express Computer Exclusive, Indian Express Group, January 2006, pp. 38-39. [PDF]

 
• P.Krishna Reddy and GV Ramaraju, e-Sagu: The Next Generation IT-based Query-less, Cost-effective and Personalized Agro-Advisory System, International Conference on Statistics and Informatics in Agricultural Research, New Delhi, India, December 27-30, 2006.

 
• P.Krishna Reddy and GV Ramaraju, eSagu: An IT-based Personalized Agricultural Extension System- A Prototype Experience, Fifth International Conference of the Asian Federation for Information Technology in Agriculture (AFITA2006), November 9-11, 2006, Bangalore, India.

 
• SVS Gopalaswamy, S.Sivashankar Reddy, G.Shyamasudar Reddy, P.Krishna reddy, Impact of eSagu (It-based Personalized Agricultural Extension System) in Reducing the cost of Cotton Crop--A Case Study, Fifth International Conference of the Asian Federation for Information Technology in Agriculture (AFITA2006), November 9-11, 2006, Bangalore, India.

 
• G.Shyamasudar Reddy and P.Krishna Reddy, Efficient Implementation of Agri-insurance Schemes by Piggybacking eSagu System, Third National Workshop on "ICT and Agriculture: From Potential to Prosperity in a Global Perspective", IAITA and DA-IICT, Ahmedabad, India, 15-16, June 2006. [PDF]    [Abstract]

 
• P.Krishna Reddy, A.Sudarshan Reddy, B.Venkateswar Rao, M.Kumaraswamy, The Application of ICT in Agriculture--The Case of "eSagu" model of Web-based Agricultural Expert Advice Dissemination System, Second International Conference on Technology, Knowledge and Society at Hyderabad, India, 12-15 December, 2005.  

 
• P. Krishna Reddy, G.Syamasundar Reddy, A.Sudarshan Reddy, and B.Venkateshwar Rao, eSagu: An IT-Based Personalized Agricultural Extension System--A Prototype Experience, Seminar on Science, Technology and Development (in the honor of Prof. Amulya K.N. Reddy on the occasion of his 75th birthday) Indian Institute of Science, Bangalore, on 28 October 2005.  

 
• P.Krishna Reddy and R.Ankaiah, A framework of information technology-based agriculture information dissemination system to improve crop productivity, Current Science, vol. 88, Num.12 pp. 1905-1913, June 2005. [PDF]    [Abstract]

 
• P.Krishna Reddy, G. Shyamsundar Reddy, B. Rammohan Rao, D. Guruva Reddy, P.Vasudeva Reddy, and M.Kumaraswamy, IT-based agriculture extension system: experiences with One thousand cotton farmer's prototype, Proceedings of International Conference on ICT in Education and Development (AISECT2004), Vol.1, pp. 39-46, December 16-18, 2004, Bhopal, India.  

 
• P.Krishna Reddy, G. Shyamsundar Reddy, B. Rammohan Rao, D. Guruva Reddy, B.V.Ratnam, P.Vasudeva Reddy, and M.Kumaraswamy, e-AgriClinic- An IT based approach for cost-effective and personalized agriculture extension system, Proceedings of International Conference on ICT in Education and Development (AISECT2004), Vol.1, pp. 97-105, December 16-18, 2004, Bhopal, India.  

 
• Kumar Gaurav, Swati Agrawal and P.Krishna Reddy, Towards an IT-based Bus Information System to Improve Bus Occupancy in Hyderabad, Proceedings of the 7th International Conference on Information Technology (CIT 2004), Hyderabad, India, December 2004, Universities Press, pp 396-405.

 
• Bhanu Kalyan Chetlapalli, Raghu Kishore Gandham, Rama Murthy Garimella, P.Krishna Reddy, Low-cost Distributed Anonymous File Server for the Internet, Proceedings of the 7th International Conference on Information Technology (CIT 2004), Hyderabad, India, December 2004, Universities Press, pp 220-228. 

 
• P.Krishna Reddy, G.Shyamsunder Reddy, J.Tirupathi, B.Rammohan Rao, D.Guruva Reddy, M.Anitha, and M.Kumaraswamy, Towards building IT-based Cost-effective and Personalized Agricultural Extension Systems, Proceedings of National Seminar on Information and Communication Technologies for Agricultural and Rural Development, September 09-10, 2004, pp.219-235, National Academy of Agricultural Research Management, Rajendranagar, Hyderabad, India. 

 
• P.Krishna Reddy, G.Shyamsunder Reddy, J.Tirupathi, B.Rammohan Rao, D.Guruva Reddy, M.Anitha, and M.Kumaraswamy, An IT based Personalized Agricultural Extension System to Improve Crop Productivity: Preliminary Experiences with 1000 Cotton Farmers Prototype, National Seminar on Information and Communication Technologies for Agricultural and Rural Development, September 09-10, 2004, pp.236-244, National Academy of Agricultural Research Management, Rajendranagar, Hyderabad, India. 

 
• P.Krishna Reddy, A Framework of Information Technology Based Agriculture Information Dissemination System to Improve Crop Productivity. In the proceedings of Andhra Pradesh Economic Association, XXII Annual Conference, 14-15, February 2004, DNR College, Bhimavaram, Andhra Pradesh (Theme: Role of Information Technology in A.P).

 
• Rajat Gupta, BVL Narayana, P.Krishna Reddy, GV Ranga Rao, CLL Gowda, YVR Reddy, and C.Ramamurthy, Understanding Helicoverpa armigera Pest Population Dynamics related to chickpea crop using neural networks, Third International Conference on Data Mining (ICDM2003), Florida, USA, November, 19-22,2003, IEEE Computer Society Press. [PDF]    [Abstract]  

 
• P.Krishna Reddy, A novel framework for information technology based agricultural information dissemination system to improve crop productivity, proceedings of 27th convention of Indian Agricultural Universities Association, December 9-11, 2002, published by Acharya N.G.Ranga Agricultural University, ANGRAU press, pp. 437-459, Hyderabad, India. 

 

Transcation Synchronization, Database Systems

• Ammar Yasir, M.Kumara Swamy, P.Krishna Reddy, Subhash Bhalla: Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases, First International Conference on Big Data Analytics (BDA 2012), New Delhi, India, LNCS 7678, Springer-Verlag, pp. 62-76, December 24-26, 2012.

 
• Ammar Yasir, M.Kumara Swamy, P.Krishna Reddy: Exploiting Schema and Documentation for Summarizing Relational Databases, First International Conference on Big Data Analytics (BDA 2012), New Delhi, India, LNCS 7678, Springer-Verlag, pp. 77-90, December 24-26, 2012.

 
• T. Ragunathan and P. Krishna Reddy, Speculation-based Protocols for Improving the Performance of Read-only Transactions, International Journal of Computational Science and Engineering (IJCSE), vol. 5, No.3, 2010, pp. 226-242, Inderscience Publishers.

 
• Mohit Goel, T Ragunathan, P.Krishna Reddy, Extending Speculation-Based Protocols for Processing Read-only Transactions in Distributed Database Systems, in the proceedings of 12th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2010), September 2010.

 
• T.Ragunathan, P.Krishna Reddy and Mohit Goyal, Semantics-Based Asynchronous Speculative Locking Protocol for Improving the Performance of Read-only Transactions, 2010 Spring Simulation Multi Conference (SpringSim 2010), April 11-15, 2010, Florida, USA.

 
• M. Kumara Swamy, P. Krishna Reddy, R. Uday Kiran and M. Venugopal Reddy, Interface Tailoring by Exploiting Temporality of Attributes for Small Screens, 6th International Workshop on Databases in Networked Information Systems (DNIS2010), The University of Aizu, JAPAN, Mar 29-31, 2010, Lecture Notes in Computer Science, vol. 5999, pp. 284-295, Springer-Verlag, 2010.

 
• T. Ragunathan and P. Krishna Reddy, Performance Evaluation of Speculation-based Protocols for Read-only Transactions, in the proceedings of ACM Compute 2010, January 22-23, 2010, Bangalore, Karnataka, India

 
• T. Ragunathan and P. Krishna Reddy, Speculation-Based Protocols for Improving the Performance of Read-only Transactions, in the proceedings of COMAD 2009 PhD Workshop, December 9, 2009, Mysore, India.

 
• M.Kumaraswamy and P.Krishna Reddy, An Efficient Context-based User Interface by Exploiting Temporality of Attributes, in the Proceedings of 16th Asia-Pacific Software Engineering Conference (APSEC'09)shed by IEEE Computer Society, pp. 205-212, Penang, Malaysia 1-3 December 2009.

 
• Gautam Das, N.L.Sarda and P.Krishna Reddy (Editors) Proceedings of the 14th International Conference on Management of Data, 2008 (COMAD 2008), December 2008, Computer Society of India, Published by Allied Publishers Pvt. Ltd. (ISBN: 978-81-8424-370-3)

 
• T. Ragunathan and P. Krishna Reddy, Exploiting Semantics and Speculation for Improving the Performance of Read-only Transactions, 14th International Conference on Management of Data (COMAD 2008), 2008, December 17-19, Mumbai India.

 
• T.Ragunathan and P. Krishna Reddy, Improving the Performance of Read-only Transactions Through Asynchronous Speculation, High Performance Computing and Simulation Symposium (HPCS 2008) held with Spring Simulation Multi-Conference (SpringSim'08), Published by ACM Press, Ottawa, April 14-16, 2008.

 
• T.Ragunathan and P. Krishna Reddy (Role: advisor), Extending Speculation for Improving the Performance of Read-only Transactions, EDBT PhD Workshop (held with 11th International Conference on Extending Database Technology March 25-29 2008, Nantes, France), Nantes, France, March 25, 2008 [PDF]    [Abstract] .

 
• T.Ragunathan and P. Krishna Reddy, Improving the performance of read-only transactions through speculation, 5th International Workshop on Databases in Networked Information Systems (DNIS2007), The University of Aizu, JAPAN, October 17-19, 2007, Lecture Notes in Computer Science, vol. 4777, pp. 203-227, Springer-Verlag, 2007.

 
• P. Krishna Reddy, GV Ramaraju, and G.S. Reddy, eSaguTM: A Data Warehouse Enabled Personalized Agricultural Advisory System, Proceedings of ACM Special Interest Group on Management of Data 2007 (ACM SIGMOD 2007), ACM Press, pp.910-914.

 
• P.Krishna Reddy and GV Ramaraju, e-Sagu: The Next Generation IT-based Query-less, Cost-effective and Personalized Agro-Advisory System, International Conference on Statistics and Informatics in Agricultural Research, New Delhi, India, December 27-30, 2006.

 
• Bhanu Kalyan Chetlapalli, Raghu Kishore Gandham, Rama Murthy Garimella, P.Krishna Reddy, Low-cost Distributed Anonymous File Server for the Internet, Proceedings of the 7th International Conference on Information Technology (CIT 2004), Hyderabad, India, December 2004, Universities Press, pp 220-228. 

 
• P.Krishna Reddy and Masaru Kitsuregawa, Speculative locking protocols to improve performance for distributed database systems, IEEE Transactions on Knowledge and Data Engineering, September/October 2003, vol. 15. no.5. [LINK]    [Abstract]

 
• P.Krishna Reddy and Masaru Kitsuregawa, Reducing the blocking in two-phase commit with backup sites, Information Processing Letters, Volume 86, Issue 1,  April 2003, Pages 39-47. [PDF]    [Abstract]

 
• P.Krishna Reddy and Subhash Bhalla, Asynchronous operations in distributed concurrency control, IEEE Transactions on Knowledge and Data Engineering,15(3): 721-733 (2003). [LINK]    [Abstract]

 
• P.Krishna Reddy and Masaru Kitsuregawa, Blocking reduction in two-phase commit protocol with multiple backup sites, International Workshop on Databases in Networked Information Systems (DNIS2000), The University of Aizu, JAPAN, December 4-6, 2000, Lecture Notes in Computer Science, vol. 1966, pp. 200-215, Springer-Verlag. 

 
• P.Krishna Reddy and Masaru Kitsuregawa, Speculation based nested locking protocol to increase the concurrency of nested transactions, International Database Engineering and Applications Symposium (IDEAS2000), September 18-20, 2000, Yokohoma, Japan, IEEE Computer Society Press.  [PDF]    [Abstract]

 
• P.Krishna Reddy and Masaru Kitsuregawa, Scalable protocols for the Internet to reduce service time and server load, 1999 International Computer Science Conference (Theme: Internet Applications), December 13-15, 1999, Hong Kong, China, Lecture Notes in Computer Science, vol.1749, pp.346-353, Springer-Verlag. [PDF]    [Abstract]  

 
• P.Krishna Reddy and Masaru Kitsuregawa, Speculative lock management to increase concurrency in mobile environments, The First International Conference on Mobile Data Access (MDA'9), December 15-17, 1999, Hong Kong, China, Lecture Notes in Computer Science, vol. 1748, pp. 82-96, Springer-Verlag. 

 
• P.Krishna Reddy and Masaru Kitsuregawa, Speculation to increase the concurrency of nested transactions, The International Conference on Information Technology (CIT'99) 1999, December 20-22, Bhubaneswar, India, pp.53-60, TATA-McGRAW HILL. 

 
• P.Krishna Reddy and Masaru Kitsuregawa, Reducing blocking in two-phase commit protocol employing backup sites, In the Third IFCIS Conference on Cooperative Information Systems (CooIS'98), pp. 406-415, August 20-22, 1998, New York, USA, published by IEEE Computer Society Press. 

 
• P.Krishna Reddy and Masaru Kitsuregawa, Improving Performance in Distributed Database Systems Using Speculative Transaction Processing, in the Proceedings of The Second European and Distributed Systems Conference (Euro-PDS'98), Editors: O.Bukhres and H.El-Rewini, IASTED press, pp.275-285, July 1-3, 1998, Vienna, Austria. 

 
• P.Krishna Reddy, "An Improved Transaction Processing Approach for Distributed Database Systems", in proceedings of A Conference on Recent Developments in Computer Science Applications, pp.46-51, Philadelphia University, AMMAN, July 8-9, 1997.

 
• P.Krishna Reddy and Subhash Bhalla, A Nonblocking Transaction Data Flow Graph Based Protocol for Replicated Databases, IEEE Transactions on Knowledge and Data Engineering, vol.7, no. 5, pp.829-834, October 1995. [LINK]    [Abstract]

 
• P.Krishna Reddy and Subhash Bhalla, "Non-blocking Concurrency Control in Distributed Database Systems" in the proceedings of Aizu International Symposium on Parallel Algorithm/ Architecture Synthesis (pAs'95), Aizu-Wakamatsu, Japan, March 15-17, 1995, pp.192-198, published by IEEE Computer Society Press.

 
• P.Krishna Reddy and Subhash Bhalla, "A Rejection Free Concurrency Control Approach for Replicated Data", in proceedings of Second International Conference on Information Systems and Management of Data, (CISMOD'93), Editor: N.L.Sarda, October 1993, New Delhi, India, Published by TATA McGRAW-HILL.

 
• P.Krishna Reddy and Subhash Bhalla, "Deadlock Prevention in Distributed Database Systems", ACM SIGMOD RECORD, ACM press, Vol.22, No.3, pp.40-46,September 1993. [LINK]    [Abstract]

 
• P.Krishna Reddy and Subhash Bhalla, "A Nonblocking Transaction Data Flow Graph Based Approach for Replicated Data", ACM Operating Systems Review,ACM press, Vol.27,No.3, pp.46-54, July 1993. [LINK]    [Abstract]

 
• P.Krishna Reddy and Subhash Bhalla, "An Algorithm for Deadlock Prevention in a Distributed Database System", in proceedings of International Conference on Management on Data (COMAD'92), pp.203-212, December 1992, Bangalore, India, published by TATA McGRAW-HILL.

 
• P.Krishna Reddy and Subhash Bhalla, "Increasing Reliability in Distributed Systems", in proceedings of Indian Computing Congress (ICC'91), pp.117-127, December 1991, Hyderabad, India, published by TATA McGRAW-HILL.