I am a PhD candidate & graduate research/teaching assistant at Michigan State University in the Department of Computer Science & Engineering, where I am being advised by Dr. Alex Liu. I received my B.S. degree in Electrical Engineering and Computer Sciences in 2013 from the School of Science and Engineering (SSE) of Lahore University of Managment Sciences (LUMS), Pakistan, where I worked on Wireless Sensor Networks (WSNs) as an Undergraduate Research Assistant, and later as a full-time Research Associate in Advanced Communications (AdCom) Lab, before moving to Michigan in 2014. Here is a link to my previous website which contains the details of my course-work and projects while at LUMS. My general research interests and expertise lie at the intersection of Electrical Engineering & Computer Sciences such as Applied Machine Learning & AI, Signal Processing, Wireless Communications, Pervasive & Mobile Computing, Internet of Things, Embedded Systems, Sensing Systems (including RF), Feedback Control Systems, System Performance Modeling, and Data Science.
My PhD research is themed around the concept of what I call "Sensing Without Sensors". By "without" here I mean without dedicated sensors or sensing infrastructure. As we know, many mainstream electronic devices around us are usually designed to serve a very specific purpose. In my research, my goal was to hack and dive deeper into the physical layer of some of these devices and see if I can leverage the signals obtained from their physical layers either to develop new sensing applications or to see if I can improve the existing protocols of those devices to enable even more useful deployment scenarios - which they are not originally designed for. Moreover, I wanted to add this new usefulness and functionalities by completely avoiding any hardware level changes and by developing the techniques such that they will require changes at the firmware or software level only, while keeping the original purpose of those devices intact. The key motivation behind all this was the increasing popularity of Internet of Things (IoTs). And we know, many IoT applications require dedicated hardware and infrastructure for communication and sensing. In contrast, my goal was to leverage the existing infrastructure and off-the-shelf readily available hardware only to enable new sensing and communication mechanisms for the future IoTs.
Detection & Estimation Theory, Stochastic Processes & Applied Probability, Deep Learning, Machine Learning, Data Mining, Design & Theory of Algorithms, Digital Signal Processing, Wireless Communications, Digital Communications, Information Theory, Error Correction Coding, Embedded Systems Design, Digital System Design, Distributed Systems/Advanced Operating Systems, Computer & Network Security
News & Updates
- May 2019: Joining Pervasive Systems research group at Bell Laboratories, Cambridge, UK, second time around for research internship this summer.
- Jan 2019: Teaching Spring 2019 Computer Networks (CSE 422) course with Professor Dennis Phillips.
- Oct 2018: Serving IFIP Networking 2019 as Technical Program Committee (TPC) member.
- Aug 2018: Teaching Fall 2018 Operating Systems (CSE 410) course with Professor Mark McCullen.
- July 2018: Our paper titled 'Distributed Spectrum Sharing for Enterprise Powerline Communication Networks' has been accepted at IEEE ICNP 2018 !
- May 2018: Joining Pervasive Systems research group at Bell Laboratories, Cambridge, UK, for research internship this summer.
- March 2018: Our paper titled 'The Insecurity of Home Digital Voice Assistants - Vulnerabilities, Attacks and Countermeasures' has been accepted at IEEE Conference on Communications and Network Security (CNS) 2018.
- Jan 2018: Teaching Spring 2018 Operating Systems (CSE 410) course with Professor Philip K. Mckinley.
- May 2017: Starting research internship in the Applied Sciences Group at Microsoft Research, Redmond this summer. Looking forward to working on Microsoft Surface products!
- February 2017: The extended version of our MOBICOM 2015 paper on the Keystroke Recognition using Commodity WiFi Devices has been accepted to IEEE JSAC Human-In-The-Loop Mobile Networks journal.
- December 2016: Our research work @LUMS on WSN based Monitoring and Event Reporting in Underground Mine Environments has been accepted to IEEE Systems Journal.
- August 2016: A part of our work on Boosting Powerline Communications for Ubiquitous Connectivity in Enterprises, in collaboration with Hewlett Packard Labs, has been accepted as a poster at IEEE ICNP 2016.
- May 2016: Starting research internship in the Mobile Communications & Networking Group at NEC Labs America, Princeton this summer. Excited!
- April 2016: Our research work @LUMS on Event Localization and Tracking Scheme for WSNs in Dynamic Environments has been accepted to IEEE WCNC 2016.
- December 2015: Our research work @LUMS on Distributed Event Identification for WSNs in Non- Stationary Environments has been accepted to IEEE GLOBECOM 2015.
- September 2015: Filed 2 patents based on ideas generated from our research work on Boosting Powerline Communications for Ubiquitous Connectivity in Enterprises, in collaboration with Hewlett Packard Labs.
- June 2015: Our research work @LUMS on Composite Event Detection and Identification for WSNs using General Hebbian Algorithm has been accepted to IEEE ICC 2015.
- June 2015: Our paper on the Keystroke Recognition using Commodity WiFi Devices has been accepted to ACM MOBICOM 2015. Excited to present my first research work towards PhD in Paris, France!
- May 2015: Starting research internship in the Networking and Mobility Group at Hewlett Packard Labs, Palo Alto, California this summer. Excited about working with some of the best researchers in the field.
- Jan 2015: Lead teaching assistant (TA) for the Spring 2015 Object-Oriented Software Development (CSE 335) course offered by Professor Alex X. Liu.