Find Academic Supervisors

• Telecommunications
• Wireless Communication
• Terahertz Technology
• +7 more

Kazuhiko Tamesue is an Associate Professor at the Faculty of Science and Engineering , Waseda University , with a focus on Terahertz Communication , Artificial Intelligence , and IoT Network Security . His academic journey spans academia and industry, including long-term roles at Panasonic Corporation (1991–2009) and current leadership in advanced wireless systems since 2022. Research Areas : Telecommunications, Wireless Hardware, Data Science, Machine Learning, Atmospheric Sensing Key Contributions : Pioneering 300GHz OFDM transceivers, AI-driven GNSS spoofing detection, and dual-frequency THz radar for cloud physics Projects : NICT-funded terahertz networks (2023–2024), ultra-low-latency systems (2022–2024), and security-enhancing radar technologies His 15 most recent publications (2024–2008) demonstrate expertise in (1) terahertz propagation for NTN/HAPS platforms, (2) machine learning for security (LSTM, GANs), and (3) next-generation IoT protocols (LPWAN, distributed ledger). He holds 20+ patents in antenna design, direct-conversion receivers, and power line communication. As an IEEE and IEICE member, he contributes to standards in 5G/6G and EMC.

• Synthetic Aperture Radar (SAR)
• Microwave Remote Sensing
• Digital Beamforming
• +6 more

Prof. Dr.-Ing. Alberto Moreira is the Director of the Microwaves and Radar Institute at the German Aerospace Center (DLR) and a Full Professor in Microwave Remote Sensing at Karlsruhe Institute of Technology (KIT) . He leads pioneering work in synthetic aperture radar (SAR) systems, including the TanDEM-X and TerraSAR-X missions. Born in São José dos Campos, Brazil B.Sc./M.Sc. in Electrical Engineering (Aeronautical Technological Institute, 1984/1986) Ph.D. (summa cum laude, Technical University of Munich, 1993) Research Focus : Innovative SAR system design (polarimetric interferometry, tomography) Digital beamforming and multi-static radar architectures Global Earth observation through TanDEM-X and Tandem-L missions Quantum annealing applications in SAR processing Planetary radar systems for Venus exploration (EnVision, VERITAS) Scientific Impact : Author/co-author of >500 peer-reviewed publications H-index: 66 (Google Scholar) Holder of >40 patents in radar and antenna technology Awards & Leadership : IEEE Dennis J. Picard Medal (2023) IEEE GRSS Distinguished Achievement Award (2014) President of IEEE GRSS (2010) Founding Chair of IEEE GRSS German Chapter Principal Investigator for Helmholtz Alliance Earth System Dynamics (2012-2018) Collaborations : Works with ETH Zurich, TU Delft, and ESA on missions like Sentinel-1, BIOMASS, Harmony, and VERITAS. His institute develops cutting-edge technologies for spaceborne SAR systems.

Tri Nhu DoView profile

Assistant Professor

• Wireless Communications
• Artificial Intelligence
• Machine Learning
• +6 more

Dr. Tri Nhu Do is an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montréal, where he conducts cutting-edge research at the intersection of wireless communications and artificial intelligence. His academic journey spans institutions across Vietnam, South Korea, the United States, and Canada, bringing a global perspective to his work. Dr. Do is affiliated with the Advanced Microwave and Space Electronics Research Center (POLY-GRAMES) and contributes to the 'New Frontiers in Information and Communications Technologies' center of excellence. Dr. Do's research focuses on wireless communications systems, artificial intelligence applications in telecommunications, and integrated sensing and communication technologies. His work addresses critical challenges in next-generation wireless networks, particularly in security, resource allocation, and performance optimization. Recent research demonstrates a strong emphasis on applying deep learning, generative AI, and federated learning techniques to solve longstanding problems in wireless communications. His publication record shows remarkable productivity and impact, with numerous articles in top IEEE journals including IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and IEEE Communications Letters. The research trends indicate a strategic shift toward integrating AI with traditional communication theory, particularly in security applications, reconfigurable intelligent surfaces, and UAV communications. Dr. Do teaches advanced courses in signal detection and estimation, communication theory, and digital transmission, sharing his expertise with the next generation of electrical engineers. His teaching reflects his research interests, providing students with both theoretical foundations and exposure to cutting-edge developments in the field.

Farhad MohsinView profile

Assistant Professor

• Computational Social Choice
• Fairness in Machine Learning
• Preference Aggregation
• +4 more

Farhad Mohsin is an Assistant Professor in the Department of Math and Computer Science at College of the Holy Cross in Worcester, MA. He earned his PhD in Computer Science from Rensselaer Polytechnic Institute (RPI) between 2018-2023, working with Professor Lirong Xia, and completed his BSc in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology (BUET) from 2010-2015. Prior to his academic career, he worked as a Telecommunications Engineer/Data Analyst at Grameenphone Ltd, Bangladesh. Dr. Mohsin's research focuses on computational social choice, particularly preference aggregation and fair decision-making. He explores ML-based techniques for designing economic mechanisms, with specific interest in fairer voting rules. His broader research interests include natural language processing, interpretable machine learning, and multi-agent reinforcement learning. His recent publications (2021-2024) examine computational complexity of voting paradoxes, election data generation using deep learning, and natural language-based preference aggregation. His work has appeared in top venues including IJCAI, AAMAS, and JAIR. Dr. Mohsin teaches courses including Data Mining, Data Structures, Analysis of Algorithms, Discrete Structures, and Advanced Algorithms. He supervises undergraduate research projects, with recent honors theses on multi-agent reinforcement learning and fairness in zoning laws.

Maha AbdelhaqView profile

Assistant Professor

• Mobile Ad Hoc Networks
• Intrusion Detection Systems
• Network Performance Analysis
• +4 more

Maha Abdelhaq is an Assistant Professor in the Department of Computer Science at Princess Nourah bint Abdulrahman University. Her research spans mobile ad hoc networks, cybersecurity, and AI-driven solutions for IoT and 6G systems. She has authored over 100 publications, with recent work focusing on adaptive learning frameworks, anomaly detection, and quantum-enhanced privacy mechanisms. Her core research interests include: Network performance analysis and intrusion detection in dynamic environments Machine learning applications for IoT security and edge computing 6G network optimization using quantum and federated learning techniques Recent publications (2023-2025) reveal a strong emphasis on AI/ML-driven methodologies, with trends in: Real-time anomaly detection for cyber-physical systems Resource-aware federated learning for medical IoT Hybrid quantum-classical approaches for vehicular network security No awards, lab affiliations, or supervised students are documented. Collaborative projects frequently address emerging challenges in decentralized network security and metaverse applications.

Simona HalungaView profile

Professor

• Wireless Networks
• Internet of Things
• Communication Systems
• +5 more

Simona Halunga is a Full Professor at the National University of Science and Technology Politehnica Bucharest, Faculty of Electronics, Telecommunications and Information Technology. She leads research in the Wireless Networks and Internet of Things Laboratory, focusing on cutting-edge communication technologies and security aspects. Her research interests span a wide spectrum of modern communication technologies. She specializes in Wireless Networks, Internet of Things, 5G/6G technologies, Signal Processing, and Network Security. Her work particularly focuses on practical implementations of communication systems in challenging environments, including UAV communications, LoRaWAN networks, and secure data transmission. She has made significant contributions to understanding electromagnetic vulnerabilities, TEMPEST security, and the development of secure communication protocols for IoT applications. Her publication record shows consistent focus on emerging communication technologies, with recent work examining the integration of AI and machine learning in network management, optimization of wireless resources, and addressing security challenges in distributed systems. Her research often bridges theoretical concepts with practical implementations, as evidenced by numerous experimental studies and real-world testing campaigns. 212 publications with 44,818 reads 2,233 citations Professor Halunga has been actively involved in numerous research projects, including the EREMI project funded under ERASMUS+ KA203, which focuses on developing advanced interdisciplinary higher education curriculum for resource efficiency in manufacturing. She collaborates extensively with researchers both within her institution and internationally. Her laboratory work encompasses both theoretical research and practical implementation, with significant contributions to understanding electromagnetic vulnerabilities of various devices, development of secure communication protocols, and optimization of wireless network performance in diverse scenarios.