Multiuser CDMA detection Professors and Supervisors

Xiaohua LiView profile

Associate Professor

Binghamton University SUNYUnited States

Xiaohua (Edward) Li is an Associate Professor of Electrical and Computer Engineering at the State University of New York at Binghamton. He holds a BS and MS from Shanghai Jiao Tong University and a PhD from the University of Cincinnati. His research focuses on signal processing for communications, cognitive radio networks, wireless security, and machine learning applications in networked systems. Education: Bachelor of Science, Control Engineering, Shanghai Jiao Tong University Master of Science, Biomedical Engineering, Shanghai Jiao Tong University Doctor of Philosophy, Electrical and Computer Engineering, University of Cincinnati Research Interests: Dr. Li's work spans adaptive signal processing, cognitive radio networks, blind equalization, and secure wireless communications. He has pioneered methods for integrating machine learning into signal processing frameworks and developed novel approaches for 5G imaging and communication systems. His research emphasizes practical applications, including anti-jamming designs, spectrum sharing, and secure physical-layer transmissions. Grants & Projects: AFOSR: Integrated 5G Imaging and Communication Surveillance (2021–2024) NSF: Intelligence Measure of Cognitive Radio Networks (2015–2017) AFRL: Jamming and spectrum mutation in cognitive radio networks (2013–2015) Awards: Best Paper Award at MMM-ACNS 2017 (Warsaw, Poland) Best Reviewer Award at ETRI Journal 2013 Teaching: Dr. Li teaches advanced courses including Digital Signal Processing II, Neural Networks and Deep Learning, and Wireless Communications. He advises students on projects ranging from cooperative networks to smart grid security.

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Ali AkansuView profile

Professor

New Jersey Institute of Technology (NJIT)United States

Ali Akansu is a Professor in the Department of Electrical and Computer Engineering at NJIT. His academic career spans multiple decades, with significant contributions to signal processing, financial engineering, and multimedia communications. He has led or co-led four major NSF-funded projects, including the Center for Digital Video & Media Research and the Laboratory for Multimedia Signal Processing and Communication. His research focuses on topics such as eigenanalysis for financial portfolios, machine learning in network analysis, and multimodal affective state assessment using EEG and fNIRS. Key research areas include financial signal processing, portfolio optimization, eigensubspace applications, and data hiding techniques. Notable projects involve FPGA-based real-time risk analysis systems and GPU implementations for eigenportfolio analysis. He has published over 190 peer-reviewed articles, with impactful work in journals like Journal of Investment Strategies and Brain Sciences . His recent work combines machine learning with signal processing to address challenges in network traffic forecasting and financial market dynamics. He has also contributed to biomedical signal processing through studies on affective state assessment using neuroimaging techniques. Awards and recognitions include a h-index of 27 and over 2,694 citations. Grants: National Science Foundation (1991-1993, 1997-2002): Real-Time Color Video Workstation, Multimedia Signal Processing Lab, and Digital Video Research Center Labs/Teams: Leadership in NJIT's Laboratory for Multimedia Signal Processing and Financial Signal Processing groups

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James S. LehnertView profile

Professor

Purdue UniversityUnited States

James S. Lehnert is a Professor at the School of Electrical and Computer Engineering , Purdue University, where he has been since 1984. He holds a B.S., M.S., and Ph.D. from the University of Illinois at Urbana-Champaign (1978, 1981, 1984). His research focuses on spectrum management , CDMA systems , channel estimation , and spread spectrum communications . He has led projects for DARPA, NSF, and the Air Force Office of Scientific Research, collaborating with institutions like the University of Michigan and Ohio State University. He has authored numerous articles in top journals like IEEE Transactions on Communications and IEEE Journal on Selected Areas in Communications . His awards include the IEEE MILCOM Lifetime Achievement Award (2009) and recognition as a Highly Cited Researcher (2000-2010). He is also a Fellow of the IEEE for contributions to spread-spectrum communications. Dr. Lehnert has advised over 30 graduate students, many of whom now hold prominent roles in academia and industry. He teaches advanced courses such as ECE544: Digital Communications and ECE639: Error Control Coding . His research group operates the Spread Spectrum and Satellite Communications Research Laboratory (S3CRL).

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K. VasudevanView profile

Professor

Indian Institute of Technology Kanpur (IITK)India

Professor K. Vasudevan is a faculty member in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Communications & Discrete-time Signal Processing. He has been at IIT Kanpur since July 2001, initially as an Assistant Professor until December 2007, then promoted to Associate Professor in January 2008, and currently holds the position of Professor. His educational background includes: PhD from IIT Madras (2000) with thesis on "Efficient Noncoherent Detectors for Multilevel Signals in Fading Channels" M.S. from IIT Madras (1996) B.Tech. from IIT Kharagpur (1991) Professor Vasudevan's research focuses on digital communications, with particular expertise in coherent and noncoherent receivers, synchronization techniques, channel estimation, and diversity techniques. His work bridges theoretical signal processing concepts with practical communication system implementations, contributing significantly to the field of wireless communications. His publication record shows a consistent focus on advanced communication techniques, particularly around QPSK modulation, turbo coding, and signal detection in challenging environments. His research evolved from fundamental signal detection methods to more complex systems involving multiuser communications and space-time coding. Professor Vasudevan has received several professional recognitions: Fellow of IETE Senior Member of IEEE Listed in Marquis Who's Who in Science and Engineering (2008) Multiple commendations for teaching Communication Theory (EE622) in 2007, 2008, and 2009 Invited speaker at the International Federation of Nonlinear Analysts World Congress in Athens, Greece (2012) His professional journey includes industry experience at Indian Telephone Industries and Texas Instruments, followed by a postdoctoral fellowship at EPFL Switzerland, before joining academia at IIT Kanpur where he has made significant contributions to both research and teaching in communications engineering.

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