R. Chandramouli (Mouli)

Principal Scientist

I use mathematical modeling and optimization as cross-cutting tools to develop practical algorithms for solving real-life problems. My current research interests are in cognitive mobile networking and edge computing (e.g., reinforcement learning for resilient, low-latency public safety and DoD applications) and machine learning (e.g., natural language processing (NLP) for mental health, cybersecurity, and other applications).

I play the mridangam (South Indian percussion) and love gardening, hoping to be a full-time farmer someday.


Dr. R. Chandramouli (Mouli) brings more than 20 years of R&D experience in mobile networking, edge computing, and machine learning in academic and startup environments. He designs machine learning-driven wireless network systems for dynamic spectrum sharing, 5G, resilient networking, and hybrid space architecture. These systems sense the operating wireless network environment for making data-driven decisions to optimize spectrum usage, resilience, security, and application performance. DoD, first responders, and commercial end-users benefit from this research.

Mouli works with psychiatrists, linguistics, and social scientists to design, develop, and demonstrate natural language processing (NLP) algorithms for mental health assessment. His collaborative work attempts to identify early-stage Alzheimer’s, dementia, suicidality, and risky social behavior from text-based communications (e.g., email or social media messages). This research theme aims to save lives, dramatically reduce mental healthcare monitoring, democratize mental healthcare, and social risk/cybersecurity mitigation. 

Mouli frequently gives keynote and plenary talks at major conferences. His professional activities include the following: IEEE COMSOC Distinguished Lecturer, invited member to the U.S. Office of Science and Technology Policy roundtable discussion on Collaborating on Public Safety Broadband, Editor of IEEE Journal on Selected Areas in Communications (JSAC)–Cognitive Radio Series, Associate Editor of IEEE Transactions of Circuits and Systems for Video Technology, Founding Chair of the IEEE COMSOC Technical Committee on Cognitive Networks (TCCN), Member of the IEEE COMSOC Standards Board, Advisory Board member of several journals and conferences, and organizing Chair of several international conferences.

His R&D has been recognized in the U.S. Senate Testimony on Industries of the Future, NIST PSCR Research Impact Report, and the DoD. ACM Tech News, The New Scientist, Fox News, VoA, and others have covered his research. Many of his papers appear in the IEEE COMSOC Best Reading in Cognitive Radio. The cognitive wireless router his group developed and demonstrated was highlighted in the Wireless Spectrum R&D (WSRD) Senior Steering Group U.S. Government report as “Best Investment: Public Safety.” He is an NSF CAREER award recipient.

Mouli holds a B.Sc. (Mathematics) from Loyola College, M.E. (ECE) from the Indian Institute of Science, and M.A. (Mathematics), and Ph.D. (Computer Science & Engineering) from the University of South Florida.