My professional preparation spans the areas of signal processing, high-performance computer architecuture and computer networks.
I have worked on a broad range of subjects in Computer Engineering. To summarize, I am currently interested in:
- security & privacy issues in mobile applications such as location, video streaming, smartphone login and user privacy.
- applying data science to enhance mobile and web applications in computing, health and other scientific domains.
Some of my current and past projects are summarized in following tiles:
Security, Privacy & Trust
Collaborators: Prof. Radha Poovendran, Prof. Kai Zeng, Prof. Prasant Mohapatra
Selected projects:
Scheme for spatio-temporal location-proofs generation in adhoc smartphone applications where integrity of proofs is maintained while preserving user-privacy [ICNP 2013].
Algorithm and hardware architecture for camera source authentication in wireless scenarios using sensor-pattern noise properties [INFOCOM 2013, T-CSVT 2014, T-IFS 2015].
Develop schemes for joint encryption and compression of video data [IEEE MM 2012, ISM 2011].
Sensor-assisted enhanced facial authentication in smartphones: A balance of usability and privacy for smartphone users [Mobisys 2014].
Using social trust for flow allocation in MANETs [arXiv:1311.3226]
Main contributions: Non-conventional or non-cryptographic means to enable encrytion/ authentication and other aspects.
Data Science Applications
Selected projects:
Understand the effect of mobility in video delivery in smartphones [SECON 2014].
Develop data-driven models for user QoE in mobile devices [INFOCOM 2015].
Data-driven Model for Energy Expenditure Estimation in healthy adults [Bodynets 2013, JMIR 2015]
Data-driven Model for Energy Expenditure Estimation in kids with DMD [HIC-POCT 2014]
Main contributions: Applying machine learning to Computer Networks and Smart Devices
Mobile Multimedia Systems
Collaborators: Prof. Liam Murphy, Dr. Patrick Mcdonagh, Prof. Prasant Mohapatra
Selected projects:
Understand the effect of mobility in video delivery in smartphones [SECON 2014].
Develop data-driven models for video acuity estimation in mobile devices [INFOCOM 2015].
Metric for Temporal Quality Assessment in Mobile Videos [Mobicom 2012].
Spectrum aware Video Multicast in LTE-A [IFIP Networking 2012]
Assessing Quality of Wireless Video Delivery in IPTV using SVC [WPMC 2011, TOB 2012].
Video-aware MAC design for wireless networks [ACM TOMM 2015]
Main contributions: Enabling high quality video on mobile devices
Wireless and Mobile Healthcare
Collaborators: Prof. Jay J. Han, Prof. Prasant Mohapatra, Prof. Heather Young
Selected projects:
Utilize novel phone and wearable sensing methods and develop data-driven methods to monitor physical activity, locality, energy characterization and expenditure [Bodynets 2013, HIC-POCT 2014, JMIR 2015]
Design and conduct clinical trials to study the effects of technology and data-informed motivational coaching for health-improvement of individuals
Leverage big data analytics to better understand individual and population trends
Main contributions: Enabling Mobile Health using Mobile and Smart devices, using machine learning and signal processing for analytics
Hardware Acceleration
Collaborators: Prof. Joseph Zambreno, Prof. Alok Choudhary
Selected projects:
Accelerating Sensor-Noise Pattern for Live Video Forensics [VLSID 2014, TCSVT 2014]
Pairwise statistical significance estimation for bioinformatics problems [IJHPSA 2013]
Compression-cum-encryption using Discrete Wavelet Transform [TECS 2012, RTIP 2012, VLSID 2010, ISVLSI 2009]
Compression-cum-encryption using Arithmetic Coding [ISVLSI 2011]
Main contributions: Accelerating novel and complex algorithms over hardware (FPGA)