معرفی
Professor Vikram Krishnamurthy is a distinguished academic at Cornell University, affiliated with the School of Electrical & Computer Engineering, Center for Applied Mathematics, and Mechanical & Aerospace Engineering. He leads the Cornell Statistical Signal Processing Lab and is part of the Foundations of Information, Network, and Decision Systems (FIND) collaborative. His career spans institutions like the University of British Columbia (Canada Research Chair, 2002-2016) and University of Melbourne (1994-2002).
His research bridges statistical signal processing, stochastic control (POMDPs), and network science, with applications in social networks, cognitive radar, and ion channel biosensors. Key themes include human-machine interfacing, inverse reinforcement learning, and behavioral economics.
Recent publications focus on adaptive inverse reinforcement learning, LLM agent interactions, and quantum decision systems, reflecting his work in machine learning, stochastic optimization, and social network analytics. His book Partially Observed Markov Decision Processes (2nd ed., 2025) is a seminal text in the field.
Scientific Awards:
- Fellow of the Institute of Electrical and Electronics Engineers (IEEE)
- Distinguished Lecturer, IEEE Signal Processing Society
- Editor-in-Chief, IEEE Journal on Selected Topics in Signal Processing
- Honorary Doctorate from KTH Royal Institute of Technology, Sweden
- Jean Pierre LeCadre Award (2019)
He currently advises PhD students including Shashwat Jain, Luke Snow, Adit Jain, and Yiming Zhang. His teaching includes advanced courses like Bayesian Estimation and Stochastic Optimization (ECE 7230) and Data Science for Engineers (ECE 2720).
