Welcome to OPTImization and MAchine Learning Group (OPTIMAL) of IIITH: optimal@IIITH
Hi There! My name is pawan kumar. I am an assistant professor at IIIT-H since approximately 2017.
I lead the OPTIMAL group at IIIT-H. We are a group of mathematicians and computer scientists working together!
In my group, we are interested in designing provably fast optimization and machine learning algorithms.
The fast and robust algorithms for the problems mentioned above are obtained either by important mathematical insight, or via clever algorithm design. More specifically, in machine learning as well as in scientific computing, newer insights via numerical analysis for optimization algorithms, which are at the core of most of these domains, can lead to robust and fast algorithms. On the other hand, a clever use of data structures, and a mapping to parallel architectures (FPGA, GPU, Clusters, etc) for the existing algorithms can lead to algorithms that run fast on modern day hardware. In general, I believe that robust numerical algorithm and high performance algorithm design go hand in hand, and they can't be developed in isolation.
In my group that comprises of bright undergraduate and graduate students, we are trying to explore various approaches for fast and robust numerical algorithms mostly for deep learning. Generally, two types of students join my group: those who are very good with mathematics or good with python programming, or have strong interest in learning HPC skills, and applying it to develop algorithms for ML and scientific computing. I am particularly interested in students who want to work in the interface of scientific computing and machine learning. I am also interested in students from non-CS background. If you are one of these, then feel free to write to me.
Announcement:
Full time MS-by-research (external applicants only for direct admission), PhD, or Postdoc positions available!
Announcement:
Consider applying to IIIT-H for BTech, BTech+MS programs! Dual degree programs gives you awesome exposure to research!
CV (PDF)»
