Manveen Kaur

Manveen Kaur is an Assistant Professor in the Department of Computer Science at California State University, Los Angeles, within the College of Engineering, Computer Science, and Technology. She serves as Lab Director of the Applied Research in Computing Systems (ARCS) Lab, driving innovation in Internet-of-Things and Cyber-Physical Systems through experimental testbeds and theoretical design.

Education:

• Ph.D. in Computer Science, Clemson University, 2022
• M.S. in Electrical and Computer Engineering, The Ohio State University, 2012

Her research pioneers software and systems engineering for emergent cyber-physical systems, with current focus on drone swarm communication frameworks using Named Data Networking (NDN) extended with AI/ML for intelligent decision-making. She addresses critical challenges in data dissemination, security, and performance for applications ranging from UAV swarms to connected vehicles, emphasizing real-world implementability of theoretical advances.

Analysis of her publication trajectory reveals consistent focus on solving communication challenges in resource-constrained wireless environments. Early work established foundations in vehicular network security and performance, evolving toward drone swarm frameworks where AI/ML integration optimizes data-centric communication. Recent publications demonstrate convergence of NDN, edge computing, and security protocols for next-generation IoT applications.

Dr. Kaur actively mentors undergraduate and graduate researchers, evidenced by participation in the CAHSI Local Research Experiences for Undergraduates (LREU) program welcoming students for Spring 2023 projects. She teaches courses including CS 3035 (Programming Language Paradigms), CS 5035 (Functional Programming), and CS 5540 (IoT and Cyberphysical Systems).

As co-director of the ARCS Lab, she leads projects like autonomous drone swarms for pathfinding and airport patrol rovers with collision avoidance. The lab develops hardware testbeds to validate communication frameworks while addressing open research questions in IoT data sharing, latency-sensitive applications, and security for sensitive data streams.