Priyanka Kaswan

Department: Electrical & Computer Engineering
Faculty Adviser: Andrea J. Goldsmith
Year of Study:
Undergraduate School: Indian Institute of Technology, Delhi ( IIT-Delhi )
Undergraduate Major: Electrical Engineering

Personal Bio

I am a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering at Princeton University, working with Professor Andrea J. Goldsmith. My research focuses on the fast dissemination of real-time, time-sensitive data, with a particular emphasis on dense gossip networks. I completed my Ph.D. at the University of Maryland, College Park, under the supervision of Professor Sennur Ulukus, and earned my Bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Delhi.
My research interests include timely information dissemination, misinformation in large networks, and machine learning. I was honored to receive the 2024 Rising Stars in EECS award, hosted by MIT’s EECS department, and the 2024 ECE Distinguished Dissertation Fellowship Award from the University of Maryland.
I am originally from Jaipur, India, also known as the Pink City, which was famously painted pink in 1876 by Maharaja Ram Singh to welcome Queen Victoria. During my undergraduate years, I worked on a research project with Prof. Lalan Kumar on noise reduction in mobile phones, using the MUSIC algorithm and MVDR beamformer. I was really amazed by how with just some coding and mathematics I could completely get rid of background noise from an audio recording of someone speaking on the phone—it was a powerful moment that made me realize how cool signal processing research is.
I am someone who loves to grow and constantly learn new things that could help me solve difficult interesting problems. I also love explaining scientific concepts to others and believe that everyone has the potential to grasp any scientific concept, no matter how challenging.
One of the things I love most about Princeton is its beautiful, old-style architecture. Outside of my research, I really enjoy dancing, in all styles. I feel that dancing gives you the freedom to move your body in any way you want, without people judging you, which they otherwise could if you did the same actions on the street.
Eager to connect with and support others who are also excited about learning new things!

Fun Fact

I really like eggplant dishes. I often say, "eggplant is a gift from god to humanity".

Research Pitch

My research spans the fields of information theory, machine learning, and signal processing within the Department of Electrical and Computer Engineering. I focus on the dissemination of real-time, time-sensitive data in next-generation wireless networks, which will be characterized by hyperconnectivity between humans and machines. This dense interconnected infrastructure will allow us to support critical applications like autonomous driving, the Internet of Things (IoT), augmented and virtual reality, remote healthcare, and military operations—where timely data transmission is essential in real-time. For instance, outdated information about a car's coordinates could lead to accidents in autonomous driving, and stale data in remote surgeries could result in serious complications. My work highlights how the same mechanisms that enhance network efficiency, such as prioritizing the latest information packets and the network hyperconnectivity, can also introduce vulnerabilities to attacks. Recent projects also involve statistical AI/ML model monitoring, exploring sparsification in federated learning, and developing decentralized large language models. To achieve my goals, I employ probability theory and optimization to derive insights from statistical models, using Python and PyTorch for simulations to validate these findings.

Upcoming Programs That I Am Attending:

Plans for Summer 2025

Interested in participating in Summer 2025 ReMatch+ program.