Professor Vikram Krishnamurthy
Vikram is currently a professor in the Electrical & Computer Engineering Department at Cornell University. He is also a graduate field faculty member in the Center for Applied Mathematics and the Mechanical & Aerospace Engineering Department at Cornell.
He received his Ph.D. from the Australian National University in 1992 and was a faculty member at the University of Melbourne from 1994 to 2002. He then moved to the University of British Columbia, where he remained until 2016, and where he held the Canada Research Chair Professorship in Electrical and Computer Engineering. He has been at Cornell since 2016.
Vikram is a Fellow of IEEE. He has served as a distinguished lecturer for the IEEE Signal Processing Society and Editor in Chief of IEEE Journal Selected Topics in Signal Processing. He served as technical chair of ICASSP 2013 and chair of the IEEE Signal Processing Theory and Methods Technical Committee. In 2013 he was awarded an Honorary Doctorate from KTH, Sweden (Royal Institute of Technnology). He is the author of the books Partially Observed Markov Decision Processes and Dynamics of Engineered Artificial Membranes and Biosensors, published by Cambridge University Press in 2016 and 2018, respectively.
Broadly, his research interests are in statistical signal processing, stochastic control, stochastic optimization and inverse reinforcement learning. Within our group, these areas tend to find application in social networks, human decision making, and adaptive sensing.
Kunal Pattanayak (Google Scholar)
Kunal (S’21) received the integrated Bachelors and Masters in Technology degrees in Electronics and Electrical Communication Engineering from Indian Institute of Technology, Kharagpur in 2018. He is currently a 5th year PhD student in the department of Electrical and Computer Engineering at Cornell University. His primary research interests lie in:
(i) Inverse reinforcement learning,
(ii) Information economics,
(iii) Counter-adversarial algorithm design for radar systems,
(iv) Interpretable AI.
Kunal is a recipient of the McMullen graduate fellowship from Cornell University, and has been a speaker at the 2020 Sloan-NOMIS Conference on Attention and Applied Economics for his work on modeling and predicting YouTube commenting behavior using rational inattention-based behavior models.
Rui Luo received the B.Eng. degree from Tsinghua University, Beijing, China, in 2019.
He is currently working toward the Ph.D. degree with the Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA.
His research interests include network science, complex systems, and blockchain innovations.
Anurag Gupta (Google Scholar)
Anurag Gupta received the B.Tech. degree in Electrical Engineering and the M.Tech. degree in Systems and Control Engineering from the Indian Institute of Technology Bombay, in 2016 and in 2020. He is currently working toward the Ph.D. degree with the School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.
His research interests include stochastic control, game theory, and distributed ledgers.
Shashwat is a second-year PhD student in the Electrical & Computer Engineering Department at Cornell. On May 2021 he graduated with a Dual Degree in Electronics and Communication Engineering with a specialization in Radio Frequency and Microwave Engineering from Indian Institute of Technology, Kharagpur, India.
His research interests include information asymmetry, revealed preference and random matrix theory.
He is a DAAD scholar with professional research experience in Saarland University and U.S. Airforce Research Lab.
Luke is a second-year PhD student in the Electrical & Computer Engineering Department at Cornell, where he is grateful to be supported by an NSF Graduate Research Fellowship. In May 2021 he graduated Summa Cum Laude from Clemson University with a B.S. in electrical engineering and a minor in mathematics, and was awarded the W.M. Riggs Award for the ‘most outstanding senior in electrical engineering’.
His research interests include ‘social sensing’ systems (interface between human decision making and signal processing, sensing and control strategies) and multi-agent intelligent systems (especially inverse problems such as detecting collective rationality or decentralized coordination).
Buddhika Nettasinghe (2021, Cornell)
- Thesis: Statistical Modeling and Inference in Social Networks
- Position: Assistant Professor, U Iowa, Tippie College of Business
Sujay Bhatt (2019, Cornell)
- Thesis: Controlled Social Sensing: A POMDP Approach (cornell.edu)
- Position: Baidu Research, Seattle
Tanzil Shahrear (2018, UBC)
- Thesis: Mobile edge cloud : computation scheduling and caching – UBC Library Open Collections
- Position: Ericsson, Sweden
Anup Aprem (2017, UBC)
- Thesis: Detection, estimation and control in online social media – UBC Library Open Collections
- Position: National Institute of Technology, Calicut
Mohammad Ghasemi (2016, UBC)
- Thesis: Planning and operation of active smart grids – UBC Library Open Collections
- Position: Risk Management at TD Bank
Maziyar Hamdi (2015, UBC)
- Thesis: Statistical signal processing on dynamic graphs with applications in social networks – UBC Library Open Collections
- Position: Data Scientist, Qudos Inc, Vancouver
William Hoiles (2015, UBC)
- Thesis: Biosensing and Electrophysiological Response
- Position: Principal AI Scientist, Katerra, Toronto
Mustafa Fanswala (2015, UBC)
- Thesis: Meta-level Pattern Analysis for Target Tracking
- Position: Senior Computer Vision Scientist, Autonomous Vehicles, NVIDIA
Omid Namvar (2015, UBC)
- Thesis: Stochastic Approximation Methods for Decision Making in Non-stationary Uncertain Environments
- Position: Quantitative Finance, CPP Investment Board, Toronto
Maryam Abolfath-Beygi (2013, UBC)
- Thesis: Biosensor Arrays for Molecular Source Identification in Mass-Transport Systems
- Position: Data Scientist, Nike, Portland.
Kevin Topley (2012, UBC)
Jane Huang (2011, UBC)
- Thesis: Application of Game Theory in Wireless Communication Networks
- Position: Senior Engineer in Machine Learning, Google
Alex Wang (2009, UBC)
- Thesis: Meta level tracking with stochastic grammar – UBC Library Open Collections
- Position: Research engineer, Amazon, Canada
Farhad Ghassemi (2009, UBC)
- Thesis: Sensor management with applications in localization and tracking – UBC Library Open Collections
- Position: Data Scientist, Microsoft, USA
Hassan Mansour (2009, UBC)
- Thesis: Modeling of scalable video content for multi-user wireless transmission – UBC Library Open Collections
- Position: Mitsubishi Electric Research Labs
Laxminarayana Pillutla (2008, UBC)
- Thesis: Resource management in wireless networks – UBC Library Open Collections
- Position: Research Engineer, Apple, USA
Michael Maskery (2007, UBC)
- Thesis: Game theoretic methods for networked sensors and dynamic spectrum access – UBC Library Open Collections
- Position: Patent Engineer, MBM Intellectual Property Law
Minh Ngo (2007, UBC)
- Thesis: Cross-layer adaptive transmission scheduling in wireless networks – UBC Library Open Collections
- Position: Mathematical Finance, Phillips, Hager & North Investment Management Ltd
Arsalan Farrokh (2007, UBC)
- Thesis: Stochastic Resource Allocation in Wireless Networks
- Position: Mathematical Finance, Phillips, Hager & North Investment Management Ltd
Sam McLaughlin (2006, UBC)
- Thesis: Data Incest in Decentralized Estimation Systems
- Position: Research Engineer ADI Thales Limited, France
S. Singh (2003, UBC)
- Thesis: Optimization Issues in DS/CDMA Wireless Networks
- Position: Associate Professor, Cambridge Univ
Leigh Johnston (2000, U Melbourne)
- Thesis: Iterative Algorithms for Estimation of Nonlinear Stochastic Dynamical Systems
- Position: Professor, University of Melbourne.
Jamie Evans (1998, U Melbourne)
- Thesis: Studies in Nonlinear Filtering Theory – Random Parameter Linear Systems, Target Tracking and Communication Constrained Estimation
- Position: Professor and vice-Dean, University of Melbourne
Jonathan Manton (1998, U Melbourne)
- Thesis: Optimal Estimation and Identification of Linear Systems — Stochastic and Algebraic Approaches
- Position: Future Generation Professor, University of Melbourne
Andrew Logothetis (1998, U Melbourne)
- Thesis: EM Algorithms for State and Parameter Estimation
- Position: Chief Engineer, Airspan, U.K
Kenneth Tan (1997, U Melbourne)
- Thesis: Nonlinear Signal Processing Techniques based on the EM algorithm