For students seeking PhD admission to my group:
My PhD students do serious math courses in real analysis, measure theoretic probability, nonlinear systems and statistical learning theory in the first year of the PhD program. The PhD student can enrol either in Electrical & Computer Engineering, or the Center for Applied Math or Mechanical & Aerospace Engineering. My current areas of interest include:
- Behavioral Economics, Statistical Signal Processing & Machine Learning- The human sensor interface: How does human decision making interface with signal processing algorithms? How to optimize sensing with human behavioral constraints? Stochastic Optimization, Partially Observed Markov Decision Processes (POMDPs), RL and Computational Game Theory
- Social Network Analytics and Sensing – Network Science with Reinforcement Learning: How to use social networks as a real time adaptive sensor? How to model & control the dynamics of information flow in social networks?
- Adversarial Sensing and Inverse Reinforcement Learning: How should cognitive radars autonomously reconfigure their measurement modes based on their Bayesian estimates? How to calibrate your adversary’s sensors capabilities and intent? How to detect cognition? We use micro-economics and inverse re-inforcement learning
Current PhD Students. Check out our new lab website
- Shashwat Jain (did undergraduate/masters at IIT Kharagpur)
- Luke Snow (did undergraduate at Clemson Univ, NSF Fellowship)
- Adit Jain (did undergraduate at IIT Gawahati)
- Yiming Zhang (did MEng at Cornell)
Alumni.
I am fortunate to have worked with amazing PhD students who have gone on to outstanding careers in academia and industry. You can download many of the PhD theses by clicking on the links below.
Andrew Logothetis (1998) | EM Algorithms for State and Parameter Estimation | Chief Engineer, Airspan, U.K. |
Jonathan Manton (1998) | Optimal Estimation and Identification of Linear Systems — Stochastic and Algebraic Approaches | Future Generation Professor, University of Melbourne |
Kenneth Tan (1997) | Nonlinear Signal Processing Techniques based on the EM algorithm | |
Jamie Evans (1998) | Studies in Nonlinear Filtering Theory – Random Parameter Linear Systems, Target Tracking and Communication Constrained Estimation | Professor and Pro-Vice-Chancellor, University of Melbourne |
Leigh Johnston (2000) | Iterative Algorithms for Estimation of Nonlinear Stochastic Dynamical Systems | Professor, Biomedical Engineering, University of Melbourne. |
S. Singh (2003) | Optimization Issues in DS/CDMA Wirless Networks | Associate Professor, Cambridge Univ |
Sam McLaughlin (2006) | Data Incest in Decentralized Estimation Systems | ADI Thales Limited, France |
Arsalan Farrokh (2007) | Stochastic Resource Allocation in Wireless Networks | Quant Research, RBC Global Asset Management |
Minh Ngo (2007) | Cross Layer Adaptive Transmission Scheduling in Wireless Networks | Quant Research, RBC Global Asset Management |
Michael Maskery (2007) | Game Theoretic Methods for Networked Sensors and Dynamic Spectrum Access | Patent Engineer, MBM Intellectual Property Law |
Laxminarayana Pillutla (2008) | Resource Management in Wireless Networks | Apple , USA |
Hassan Mansour (2009) | Modeling of Scalable Video Content for Multi-user Wireless Transmission | Mitsubishi Electric Research Labs |
Farhad Ghassemi (2009) | Sensor Management with Applications in Localization and Tracking | Microsoft, USA |
Alex Wang (2009) | Meta-level Tracking with Stochastic Grammar | Amazon |
Jane Huang (2011) | Application of Game Theory in Wireless Communication Networks | Meta |
Kevin Topley (2012) | Average Consensus in Two-time Scale Markovian Systems | |
Maryam Abolfath-Beygi (2013) | Biosensor Arrays for Molecular Source Identification in Mass-Transport Systems | Senior Data Scientist, Nike, Portland. |
Omid Namvar (2015) | Stochastic Approximation Methods for Decision Making in Non-stationary Uncertain Environments | Quant Finance, CPP Investment Board, Toronto |
Mustafa Fanswala (2015) | Meta-level Pattern Analysis for Target Tracking | Principal Software Engineer, Autonomous Vehicles, NVIDIA |
William Hoiles (2015) | Biosensing and Electrophysiological Response | Principal AI Scientist, Katerra, Toronto |
Maziyar Hamdi (2015) | Statistical Signal Processing on Dynamic Graphs with Applications in Social Networks | Quant Finance, CPPP Investmens, Toronto |
Mohammad Ghasemi (2016) | Planning and Operation of Active Smart Grids | Senior Scientist, Amazon |
Anup Aprem (2017) | Detection, Estimation and Control in Online Social Media | Assistant Professor, National Institute of Technology, Calicut |
Tanzil Shahrear (2018) | Mobile Edge Cloud: Computation and Caching | Technical Leader, Machine learning or 6G, Ericsson, Sweden |
Sujay Bhatt (2019) @Cornell | Controlled Social Sensing: A POMDP Approach | AI Research lead, Morgan Stanley, New York. |
Buddhika Nettasinghe (2022) @Cornell | Statistical Modeling and Inference in Social Networks | Assistant Professor, U Iowa, Tippie College of Business |
Rui Luo (2023) @Cornell |
Social Network Segregation: Measurement, Estimation and Mitigation |
Assistant Professor, City Univ of Hong Kong |
Kunal Pattanayak (2023) @Cornell |
Inverse Reinforcement Learning: A Micro-economics based approach |
Goldman Sachs, New York |
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