Find Academic Supervisors

• Cybersecurity
• Machine Learning
• Cyber-Physical Systems Security
• +6 more

Amir Alipour-Fanid is an Assistant Professor in the Department of Computer Science and Information Technology at the University of the District of Columbia. His research focuses on cybersecurity, machine learning, and wireless communication security, particularly in cyber-physical systems, autonomous vehicles, and 5G networks. He has contributed to projects like the NSF-funded WindTexter, a generative AI messaging app, and organized webinars on 5G security challenges. Key research areas include intrusion detection systems optimization, secure spectrum sharing for IoT, and adversarial multi-armed bandit algorithms. His work bridges theoretical machine learning with practical network security applications. Notable achievements include the 2022 Outstanding Academic Achievement Award from George Mason University and multiple publications in IEEE journals. Grants/Projects: NSF Convergence Accelerator Track G Phase I (WindTexter Project, 2022-2023) Awards: Outstanding Academic Achievement Award (2022) Publications: Over 25 peer-reviewed articles in IEEE journals and conferences, focusing on cybersecurity, wireless networks, and machine learning applications. He actively collaborates with institutions like Kai Zeng's team on spectrum sharing and secure communication protocols. His research emphasizes real-world implementation of AI-driven security solutions in emerging technologies.

• Wireless Communications
• MIMO Systems
• Signal Processing
• +5 more

Jihoon Choi is a Professor in the Department of Electrical Engineering at Korea University's College of Engineering. With an extensive publication record spanning over two decades from 2000 to 2025, he has established himself as a leading researcher in wireless communications and signal processing. His work primarily focuses on MIMO systems, space-time coding techniques, and channel estimation methodologies. Choi's research interests center around advanced wireless communication techniques, particularly in next-generation wireless systems. His work spans multiple specialized areas including Space-Time Line Coding, mmWave communications, physical layer security, and intelligent reflecting surface technologies. He has made significant contributions to the development of novel precoding and combining strategies for multiuser MIMO systems, with special emphasis on rate balancing and interference management techniques. Analysis of his recent publications (2021-2025) reveals a strong research trajectory focused on space-time line coding applications across diverse scenarios including UAV systems, SAR imaging, and physical layer security. His work demonstrates a consistent pattern of innovation in wireless communications, with increasing emphasis on practical implementations for 5G/6G systems. The publications show a clear evolution from fundamental signal processing techniques to more complex system-level implementations addressing real-world challenges in wireless communications. Throughout his career, Professor Choi has maintained a highly productive research output with over 70 publications in prestigious IEEE journals and conferences. His work demonstrates strong collaboration patterns, particularly with researchers like Jingon Joung, Wonjun Lee, and Yong Hoon Lee, suggesting active participation in research groups or laboratories focused on wireless communications. His recent publications indicate ongoing research activity with multiple 2025 publications currently in process.

Mustafa NamdarView profile

Associate Professor

• Integrated Sensing and Communication (ISAC)
• Reconfigurable Intelligent Surfaces (RIS)
• Cognitive Radio Networks (CRNs)
• +3 more

Assoc. Prof. Dr. Mustafa Namdar holds an academic position at Kütahya Dumlupınar University's Faculty of Engineering, Department of Electrical-Electronics Engineering. His research focuses on advanced communication systems including Integrated Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (RIS), and Non-Orthogonal Multiple Access (NOMA). He has led 11 projects funded by institutions like TUBITAK and the Turkish Presidency of Defense Industries (SSB). His work spans 83 publications, including peer-reviewed journal articles and conference proceedings. Notable achievements include the IEEE ELECO 2024 Best Paper Award and multiple TÜBİTAK publication incentives. Education: PhD in Electronics and Communication Engineering from Yıldız Technical University (2006–2014) Research Interests: 6G Communication Technologies AI-driven Network Optimization Unmanned Aerial Vehicle (UAV) Communication Systems Wireless Security and Privacy Grants & Awards: Overseen 23 projects totaling €1.2M Recipient of Elsevier's Recognized Reviewer Status (2015–2021) Labs & Teams: Collaborates with the 6G Platform at Istanbul Medipol University and the Information and Communications Research Group (ICRG) at ITU.

Nuria González-PrelcicView profile

Adjunct Associate Professor

• Signal Processing
• Wireless Communications
• Machine Learning
• +4 more

Dr. Nuria González-Prelcic is an Adjunct Associate Professor in Electrical and Computer Engineering at North Carolina State University, with office located in 2076 Engineering Building II. She received her PhD in Electrical Engineering from the University of Vigo, Spain in 2000. Previously, she served as Senior Research Scientist at UT Austin and founded the Atlantic Research Center for Information and Communication Technologies. Her research integrates: Advanced signal processing for wireless systems Machine learning applications in communications Millimeter-wave and massive MIMO technologies Integrated sensing-communication frameworks She has published extensively on mmWave vehicular systems and received the IEEE Vehicular Technology Society 2022 Best Paper Award. Her work frequently appears in premier IEEE journals and conferences.

James S. LehnertView profile

Professor

• Wireless Communication Networks
• Spread Spectrum Communications
• Signal Processing
• +5 more

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).

Venugopal V. VeeravalliView profile

Professor

• Statistical Inference
• Machine Learning
• Information Theory
• +9 more

Venugopal V. Veeravalli is the Henry Magnuski Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering, Coordinated Science Laboratory (CSL), Department of Statistics, and Discovery Partners Institute (DPI). He holds a Ph.D. from UIUC (1992) and has been on the faculty since 2000, previously at Cornell University. His research spans statistical inference, machine learning, information theory, and their applications in wireless communications, sensor networks, and cyberphysical systems. He has authored/co-authored influential books like Statistical Inference for Engineers and Data Scientists and Interference Management in Wireless Networks , and serves as Editor-in-Chief of the IEEE Transactions on Information Theory. Notable awards include the IEEE Fellow (2006), PECASE (1998), and twice the Abraham Wald Prize in Sequential Analysis (2016, 2023). He advises students on topics like robust learning, distributed algorithms, and adaptive sensing. Current research focuses on sequential change detection, non-stationary environments, and IoT resilience. Education: B.Tech. (IIT Bombay, 1985), M.S. (Carnegie Mellon, 1987), Ph.D. (UIUC, 1992) Professional Roles: Editor-in-Chief (IEEE Transactions on Information Theory), NSF Program Director (2003–2005), Fulbright-Nokia Chair (2023) Research Interests: His work bridges theoretical foundations and practical applications, including quickest change detection, robust machine learning, and distributed systems. Recent projects involve anomaly detection in power grids, pandemic monitoring via wastewater data, and adaptive algorithms for wireless networks. Grants & Collaborations: Active in NSF-funded projects on robust learning and IoT resilience. Collaborates internationally, including with Aalto University (Finland) under the Fulbright-Nokia Chair. Teaching: Teaches courses on probability, optimization, communication theory, and data science. Recognized with the Michael Tien Excellence in Teaching Award (1999).

• Wireless Communication
• Mobile Networks
• Wireless IoT Applications
• +6 more

Prof. Dr. Luciano Sarperi is a Lecturer at the ZHAW School of Engineering ’s Institute of Signal Processing and Wireless Communications , focusing on applied R&D with industry partners. His work spans Wireless Communication Systems , Mobile Networks (NR, LTE, NB-IoT), and Software Defined Radio . Expertise in GNSS Localization , Wireless Time-Synchronization , and Interference Cancellation for MIMO systems. Active in UAV navigation, RFI detection, and LoRa/Wi-Fi applications. Research Trends (2025–2004): Peer-reviewed work on MIMO Pre-coding , GNSS for Drones , Blind Signal Processing , and Wireless Standards . Patents in Multi-Cell MIMO and Channel Feedback . Education : PhD in Digital Signal Processing for MIMO-OFDM from the University of Liverpool (2007), M.Sc. in Microelectronic Systems and Telecommunications (2002). Experience : 2010–2017 at Swisscom (Research Engineer), 2007–2010 at Fujitsu Laboratories (U.K.).

Anders Høst-MadsenView profile

Professor

• Statistical Signal Processing
• Information Theory
• Wireless Communications
• +6 more

Anders Høst-Madsen is currently a Professor in the Department of Electrical Engineering at the University of Hawaiʻi at Mānoa, where he has served since 2001 (promoted to full Professor in 2009). Previously, he held academic positions at the University of Calgary (1998-2000) and Kwangju Institute of Science and Technology (1996-1998), and worked at Dantec Dynamics (1993-1996). He is an IEEE Fellow and has held significant editorial roles for IEEE Transactions. His educational background includes: M.Sc. in Electrical Engineering from the Technical University of Denmark (1990) Ph.D. in Mathematics from the Technical University of Denmark (1993) Professor Høst-Madsen's research focuses on statistical signal processing and information theory with applications spanning wireless communications systems. His work addresses ad-hoc networks, cooperative diversity techniques, wireless sensor networks, non-contact heart monitoring solutions, underwater acoustics signal processing, and big data analytics. He has made substantial contributions to bridging theoretical foundations with practical implementations in communication systems and biomedical sensing. His notable scientific recognition includes: IEEE Fellow designation (2013) Eurasip Journal of Wireless Communications and Networks Best Paper Award (2006) He has served as Editor for Multiuser Communications for IEEE Transactions on Communications and Associate Editor for Detection and Estimation for IEEE Transactions on Information Theory. As an academic leader, he co-chaired major conferences including ISITA 2012 and IEEE ISIT 2014. Professor Høst-Madsen is also a founder and former CTO of Kai Sensors, Inc., which develops commercial non-contact heart monitoring equipment based on his research.

Dimitris A. PadosView profile

Professor

• Communications Theory
• Wireless Communications
• Cognitive Radio Networks
• +7 more

Dimitris A. Pados is a Professor and I-SENSE Fellow at Florida Atlantic University, holding the prestigious Charles E. Schmidt Eminent Scholar in Engineering position. He serves as Director of both the Center for Connected Autonomy and Artificial Intelligence and the ExtremeComms Laboratory within the Department of Electrical Engineering and Computer Science in the College of Engineering. Prior to joining FAU in 2017, he spent 20 years at the University at Buffalo, where he held positions ranging from Assistant Professor to Clifford C. Furnas Chair Professor. Professor Pados' research spans two primary domains: Communications Theory and Systems, and Machine Learning and Adaptive Signal Processing. His work in communications includes Cognitive Software-defined Radios and Networks, Interference Avoiding Networking, Secure Wireless Communications, Underwater Cognitive Hi-rate/Long-distance Acoustic Communications, and Autonomous/Unmanned System Communications. In signal processing, he specializes in L1-norm Principal-component Analysis (L1-PCA), Robust Feature Extraction from Faulty Data Sets, Digital Data Embedding/Hiding, and Compressed-sensed Imaging and Video. His research has resulted in numerous high-impact publications and several best paper awards. His recent publications demonstrate a strong focus on robust signal processing techniques, particularly L1-PCA methods, and applications in wireless communications, video processing, and secure transmissions. The research shows consistent contributions to both theoretical foundations and practical implementations, with increasing emphasis on cognitive radio networks, underwater communications, and autonomous systems. 2013 ISWCS Best Paper Award in Physical Layer Communications and Signal Processing 2003 IEEE Transactions on Neural Networks Outstanding Paper Award IEEE ICT 2001 Best Paper Award 2010 IEEE ICC Best Paper Award in Signal Processing for Communications I-SENSE Fellow Charles E. Schmidt Eminent Scholar in Engineering Professor Pados has secured significant research funding through sponsored projects, particularly in wireless communications, signal processing, and autonomous systems. His work on software-defined radio platforms, underwater acoustic networks, and cognitive networking demonstrates strong industry and government interest. He has successfully translated theoretical research into practical implementations, as evidenced by his team's win in the Internet of H2O competition. As Director of the ExtremeComms Laboratory, Professor Pados leads a research group focused on communication systems for challenging environments. The laboratory provides opportunities for graduate students to work on cutting-edge projects in cognitive radio, underwater communications, and autonomous systems. His leadership of the Center for Connected Autonomy and Artificial Intelligence further expands research opportunities across multiple disciplines at Florida Atlantic University.