Research
Philosophically, our research interests are driven by the belief that collaborations between researchers in different areas and disciplines leads to exciting new problems along with new insights. Moreover, it is just a lot of fun!
Broadly our research can be described understand the fundamentals of information: learning, security/privacy, communication, processing, and storage. Towards these broad goals, our research is in Information theory with applications to learning, cyber-physical systems, security & privacy, bio-informatics, wireless networks, epidemics, and neuroscience.
Some descriptions of our research has been classified below.
Selected recent and ongoing projects
- Communication efficient distributed machine learning
- Privacy in distributed machine learning
- Robust and secure distributed machine learning
- Encoded distributed optimization
- Bioinformatics: Nanopore DNA sequencing
- Cyber-physical systems
- Epidemics and testing
- Wireless backscatter and imaging
- Neuroscience
Selected past projects
- Hardware security
- Coded Caching: Content-centric wireless networks
- Transmission over finite buffer channels and deletion channels
- Non-coherent wireless networks
- Approximate characterizations in network information theory
- Wireless network information flow
- Wireless network secrecy
- Multiple description source coding
- Network engineering and tomography
- Source channel separation in networks
- Scalable network data compression
- Mobility capacity of wireless networks
- Space-time coding
- Robust communication
- Parallel scheduling for wireless networks
- Wireless interference management
- Structured lattice codes in network communication
- Routing in dynamic ad hoc wireless networks
- Opportunistic communication