جست‌وجوی استاد و پژوهشگر

Rajendra Prasad Siriginaمشاهده پروفایل

مدرس

• Artificial Intelligence
• Wireless Networks
• Health Diagnostics
• +۱ مورد دیگر

Rajendra Prasad Sirigina is a Lecturer in the Department of Computer Science at the National University of Singapore. He holds a Ph.D. from Nanyang Technological University, Singapore (2015), an M.Tech from Indian Institute of Technology Guwahati, India (2007), and a B.Tech from GRIET, JNTU Hyderabad, India (2002). His research focuses on applying artificial intelligence to wireless networks and health diagnostics. Ph.D., Nanyang Technological University, Singapore (2015) M.Tech, Indian Institute of Technology Guwahati, India (2007) B.Tech, GRIET, JNTU Hyderabad, India (2002) His work bridges Artificial Intelligence with Wireless Communication and Health Diagnostics , emphasizing robust feature selection, signal classification, and interference management in UAV and satellite systems. Recent research includes NOMA-aided communications , hybrid-duplex architectures , and deep learning for signal processing . The 15 most recent publications highlight advancements in UAV communication systems , NOMA , hybrid-duplex technologies , and satellite network design . Key trends include optimizing spectrum efficiency, mitigating interference in aerial-ground networks, and enhancing signal reliability through machine learning and outage probability analysis.

Yan (Cindy) Sunمشاهده پروفایل

مدرس

• Wireless Network Protocols
• Mobile Ad Hoc Networks (MANET)
• Energy Efficiency in IoT
• +۳ مورد دیگر

Dr. Yan (Cindy) Sun is a Lecturer in Telecommunications at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on routing strategies for ad hoc wireless networks, energy efficiency in IoT systems, and cross-layer design for next-generation wireless networks. She teaches modules on Ad Hoc Networks and Telecommunications Systems, emphasizing protocols like TCP/F, MANET routing (DSDV/ABR/AODV), and wireless broadband access technologies. Research Interests: Optimized routing in heterogeneous wireless environments Energy-saving mechanisms for IoT devices Cross-layer protocol design for 5G/6G networks Her publications (2017-2023) address VANET privacy, game-theoretic intrusion detection, and mMTC network optimization. Active in both theoretical and applied research, she has contributed to eHealth systems integrating wearable sensors with IoT frameworks. Teaching responsibilities include modules taught in collaboration with BUPT (Beijing), covering information theory, queuing theory, coding principles, and wireless network fundamentals.

Pierre Duhamelمشاهده پروفایل

پژوهشگر

• Digital Signal Processing
• Communication Systems
• Image Compression
• +۶ مورد دیگر

Pierre Duhamel is a researcher affiliated with the Signals and Systems Laboratory, focusing on digital signal processing, communication systems, and multimedia security. His work spans theoretical and applied research in network coding, image compression, and channel coding. Primary affiliation: Signals and Systems Laboratory Research roles: Academic researcher, inventor (patents in image coding) Research interests: Duhamel's work addresses challenges in signal processing (e.g., wavelet transforms, L∞ norm compression), communication systems (e.g., robust decoding, WiMAX MAC protocols), and multimedia security (asymmetric watermarking, screen content coding). He explores optimization techniques for wireless networks and error resilience in multimedia transmission. Recent publications (2024–2025) reflect trends in image and signal processing , network optimization , and communication security , with applications to hyperspectral imaging, turbo coding, and cooperative wireless systems.

Yaguang Zhangمشاهده پروفایل

استادیار بالینی

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +۴ مورد دیگر

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

• Networking
• Distributed Systems
• Vehicular Ad-Hoc Networks
• +۳ مورد دیگر

Rui Manuel Pacheco Meireles is an Assistant Professor in the Computer Science Department at Vassar College since 2017. He is also a Researcher at the Instituto de Telecomunicações in Portugal. His research focuses on networking and distributed systems, particularly in Vehicular Ad-Hoc Networks (VANETs), aiming to enhance traffic safety, efficiency, and passenger entertainment through wireless vehicle communication. He holds dual PhDs from Carnegie Mellon University and the University of Porto, alongside an MS from Carnegie Mellon University. Education: PhD in Computer Science, Carnegie Mellon University PhD in Computer Science, University of Porto MS in Computer Science, Carnegie Mellon University Research Interests: Rui’s work emphasizes applied and experimental research, designing protocols, creating prototypes, and evaluating them in real-world environments. His primary focus is on vehicular networks, including Wi-Fi-based communication between vehicles and infrastructure. His contributions span network selection algorithms, throughput estimation, and geolocation-based sector selection for 802.11ad protocols. His research also touches on HTTP/2 performance analysis and testbed development like HarborNet. Publications: Rui has authored over 15 peer-reviewed articles, with recent work including Wi-Fi network diversity exploration and practical network selection protocols for vehicle-to-infrastructure communication. His 2016 paper on the LASP protocol won the Best Paper Award at IEEE VNC. Awards: Best Paper Award at IEEE Vehicular Networking Conference (VNC) 2016 Teaching: Rui teaches courses such as CMPU 203 (Software Design and Implementation) and has previously instructed data structures, algorithms, and computer networks courses at Vassar. He also shares teaching materials, including an introduction to Linux/Unix. Labs/Teams: Collaborates with the Instituto de Telecomunicações (Portugal) and has developed datasets for vehicular networks, including 802.11ad Wi-Fi datasets for infrastructure communication studies.

Gruia Calinescuمشاهده پروفایل

دانشیار

• Algorithms
• Approximation Algorithms
• Theory of Computation
• +۳ مورد دیگر

Gruia Calinescu is an Associate Professor of Computer Science at Illinois Institute of Technology (IIT), affiliated with the College of Computing's Computer Science Department. He joined IIT in 2000 and has held visiting positions at the University of Bonn and the University of Wisconsin-Milwaukee. His research focuses on approximation algorithms, combinatorial optimization, and theoretical computer science, with contributions to graph theory, network design, and algorithmic problems in wireless networks. Education includes a PhD from Georgia Tech's Algorithms, Combinatorics, and Optimization program (1998) under Howard Karloff. He also holds a diploma from the University of Bucharest in scheduling theory. Key research interests include algorithms for Steiner trees, network connectivity, scheduling, and power optimization. He has published extensively on topics like minimum power covering, relay placement, and LP rounding techniques. His work often bridges theoretical foundations with practical applications in wireless networks and distributed systems. Recent work includes advancements in combination algorithms for Steiner tree variants (2022), energy-aware scheduling (2016), and improved approximation algorithms for relay placement (2014). He is also involved in teaching, such as CS 530 - Theory of Computation.

Mehmet Fatih Tuysuzمشاهده پروفایل

مدرس ارشد

• Mobile and Wireless Multimedia Communications
• QoE Optimization
• Mobile Edge Computing
• +۴ مورد دیگر

Mehmet Fatih Tuysuz is a Senior Lecturer at Northumbria University's Department of Computer and Information Science, joining in August 2020. He holds a PhD from Gebze Technical University (2013) and previously worked as a Research Assistant (2007–2013) and Assistant Professor (2013–2018) in Turkey. He also served as a Visiting Research Fellow at Middlesex University (2019). His research focuses on Mobile and Wireless Multimedia Communications, QoE optimization, Mobile Edge Computing for 5G/6G, Energy-efficient Techniques, Handover Strategies, and Software-Defined Networks. He has secured funding from national/international bodies and published extensively in top-tier venues. Recent work explores Edge Computing advancements for 6G, low-latency data aggregation, and QoE-driven video streaming. His articles address challenges in network resource optimization, sustainable IoT, and vehicular edge computing. He actively mentors students and welcomes applications for PhD/Master's programs in his research areas.

Birsen Sirkeciمشاهده پروفایل

استاد

• Wireless Communications
• Sensor Networks
• Statistical Signal Processing
• +۱ مورد دیگر

Birsen Sirkeci is a Professor in the Department of Electrical Engineering at San Jose State University (SJSU), San Jose, CA. She holds a PhD from Cornell University (2006), an MSc from Northeastern University (2000), and a BSc from Middle East Technical University, Turkey (1998). Prior to joining SJSU, she was a postdoctoral researcher at UC Berkeley. Her educational background includes: PhD in Electrical Engineering, Cornell University, Ithaca, NY (2006) MSc in Electrical Engineering, Northeastern University, Boston, MA (2000) BSc in Electrical Engineering, Middle East Technical University, Ankara, Turkey (1998) Professor Sirkeci's research spans wireless communications , sensor networks , statistical signal processing , and machine learning . Her work focuses on developing advanced algorithms for cognitive radio networks, spectrum sensing, and cooperative communication systems. She has pioneered applications of neural networks in materials science (e.g., stress prediction in porous ceramics) and medical imaging (e.g., colon cancer detection), demonstrating exceptional interdisciplinary innovation. Analysis of her 2013-2021 publications reveals a dominant trend at the intersection of wireless communications and deep learning. Key themes include spectrum sensing via convolutional neural networks, cooperative broadcast strategies in dense networks, and physics-informed machine learning for materials engineering. Her work consistently addresses real-world constraints like channel estimation errors and hardware limitations using USRP SDRs. Her scientific contributions have been recognized with: Best Paper Awards at MILCOM 2005, WCECS 2010, and ICETEC 2013 IEEE ICME Outstanding Organizing Committee Member (2013) Applied Materials Teaching Award at SJSU (2014) As an advisor, she co-led the SJSU Spartans team to the DARPA Spectrum Challenge finals in 2013. While specific grants aren't detailed in source material, her award-winning publications and competition success indicate sustained research funding. She actively mentors students through capstone projects and competitive teams, emphasizing hands-on implementation. Professor Sirkeci leads wireless communications research within SJSU's Electrical Engineering department, with strong ties to industry through awards like Applied Materials. Her DARPA Spectrum Challenge involvement underscores leadership in translating theoretical research into competitive, real-world systems.

• Microwave Theory and Techniques
• Wireless Communications
• MIMO Systems
• +۱۲ مورد دیگر

Professor Dimitra Kaklamani is a distinguished faculty member at the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA), where she serves as a Professor in the Division of Information Transmission Systems and Material Technology. With over 300 publications to her name, she has established herself as a leading researcher in microwave engineering, wireless communications, and computational electromagnetics, having progressed through academic ranks from Lecturer (1995) to Professor (2009). Her research spans numerous critical areas in electrical engineering: Microwave Theory and Techniques Wireless Communications and MIMO Systems Computational Electromagnetics Object-Oriented and Distributed Computing Security & Privacy in Networked Systems Machine Learning Applications in Telecommunications Professor Kaklamani's research trajectory demonstrates a natural evolution from traditional microwave engineering toward cutting-edge areas like AI-enabled wireless communications and privacy-preserving network architectures. Her recent work (2023-2025) shows particular focus on intelligent metasurfaces for wireless communications, federated learning applications in next-generation networks, and security aspects of 5G/6G systems. This reflects both continuity with her foundational work in computational electromagnetics and adaptation to emerging technological frontiers. She serves as Editor of an international book by Springer-Verlag (2000) in applied Computational Electromagnetics and regularly reviews for IEEE journals, demonstrating her standing in the scholarly community. Her teaching portfolio is equally comprehensive, ranging from foundational courses like Linear Circuits Analysis to advanced topics such as Computational Electromagnetics and Machine Learning in Mobile Computing, reflecting her broad expertise across electrical engineering disciplines.

• Wireless Communication
• 5G Networks
• Millimeter-Wave Technology
• +۳ مورد دیگر

Randy Verdecia-Peña is a researcher specializing in wireless communication and 5G technologies, focusing on millimeter-wave (mmWave) systems, software-defined radio (SDR), and network protocols. His work emphasizes practical experimentation with advanced signal processing techniques, including machine learning for channel estimation and hardware prototyping for integrated access and backhaul (IAB) architectures. Key contributions include phased array-aided 5G prototypes, flexible layer 2 protocols, and cooperative relay node design in both indoor and outdoor environments. Collaborations frequently involve hardware validation and performance analysis across frequencies like 26 GHz and 60 GHz.

• Wireless Communication
• Satellite Networks
• 5G/6G Technologies
• +۷ مورد دیگر

Mohamed-Slim Alouini is a Professor affiliated with King Abdullah University of Science and Technology (KAUST), specifically linked to the Center for Uncertainty Quantification (SRI UQ) in Thuwal, Saudi Arabia, and also associated with Texas A&M University at Qatar. His research focuses on cutting-edge wireless communication technologies, including 5G/6G systems, satellite networks, UAV-based communication, free-space optics (FSO), and THz frequencies. He has made significant contributions to network optimization, interference management, and energy-efficient designs. His work spans theoretical analysis and practical implementations, with a strong emphasis on stochastic geometry, signal processing, and multi-hop communication systems. Notable areas include reconfigurable intelligent surfaces (RIS), non-terrestrial networks (NTN), and integration of aerial-ground-space networks. His research addresses challenges in rural connectivity, emergency communication systems, and interference mitigation in dense networks. Alouini's articles highlight advancements in FSO mesh networks, LiDAR-assisted positioning for airborne terminals, and energy-efficient optimization in aerial infrastructure-based (IAB) networks. He also explores the application of large language models to satellite-aerial-terrestrial systems and surveys random access protocols for IoT over LEO satellites. While no awards are explicitly listed in the provided text, his prolific publication record (over 2,160 entries) underscores his impactful contributions to the field. His work is often collaborative, with frequent co-authorships on topics ranging from UAV-VLC systems to THz channel modeling.

Mensi Nejiمشاهده پروفایل

استادیار

• Cybersecurity
• Wireless Communications
• 5G/6G Networks
• +۴ مورد دیگر

Dr. Mensi Neji is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology. His research focuses on cybersecurity, wireless communications, and emerging technologies like Reconfigurable Intelligent Surfaces (RIS) and 5G/6G systems. He holds a PhD in Electrical Engineering from Howard University and combines academic expertise with industry experience in software engineering at Ooredoo and INTM. Education: PhD in Electrical Engineering (High Honors) - Howard University Research Interests: Dr. Neji’s work explores: Cybersecurity in wireless implantable medical devices (WIMDs) Physical Layer Security (PLS) in next-gen networks Metaverse security and RIS applications Secure protocols for vehicular communications (V2I) Publications: His recent work emphasizes securing emerging technologies such as NOMA networks, hybrid RF-FSO systems, and adversarial scenarios in vehicular and smart grid communications. Trends include leveraging machine learning for GPS jamming detection and optimizing secrecy rates through gradient algorithms. Awards: No scientific awards explicitly listed. Advising & Industry: While no advisees are listed, his industry experience includes software engineering roles. Research contributions include reviewing for IEEE Transactions and active membership in IEEE societies. Labs/Teams: Not explicitly mentioned in provided text.

• Wireless Communications
• Satellite Communications
• Cybersecurity
• +۵ مورد دیگر

Athanasios G. Kanatas is a Professor at the Department of Digital Systems, University of Piraeus, Greece, and Director of the Telecommunication Systems Laboratory. He holds a Ph.D. in Mobile Satellite Communications from NTUA (1997), and has held roles such as Dean of the School of Information & Communication Technologies (2013–2017) and IEEE Communications Society Chairperson (1999). Education: Diploma in Electrical Engineering (NTUA, 1991), M.Sc. in Satellite Communication Engineering (University of Surrey, 1992), Ph.D. in Mobile Satellite Communications (NTUA, 1997). Research focuses on V2X communications, UAV-assisted networks, antenna design, stochastic geometry, and cybersecurity. He has published over 200 papers and authored 6 books, and leads projects in 5G/6G systems and integrated sensing-communication networks. His work includes pioneering contributions to aerial relay placement, fluid antenna systems, and hybrid beamforming techniques. He serves as Editor of IEEE Transactions on Wireless Communications, Associate Editor of IEEE Transactions on Antennas and Propagation, and is a Senior IEEE Member since 2002. Recent activities include extending the deadline for M.Sc. program applications and promoting internships for students. Labs/Teams: Directs the Telecommunication Systems Laboratory, collaborating on projects like ARGOS RFI monitoring and UAV corridor-assisted IoT networks. His research emphasizes practical implementation through prototyping and experimentation, with applications in aerospace, IoT, and intelligent transport systems.

Tadesse Ghirmaiمشاهده پروفایل

استاد

• Statistical Signal Processing
• Communications
• Bayesian Methods
• +۳ مورد دیگر

Tadesse Ghirmai is a Professor and Division Chair of Electrical Engineering at the University of Washington Bothell, affiliated with the School of Science, Technology, Engineering & Mathematics. He has worked at the university since 2009 and holds a Ph.D. in Electrical Engineering from Stony Brook University (2007), an M.S. in Electrical Engineering from the University of South Florida, and a B.S.E.E. from Addis Ababa University, Ethiopia. His research focuses on statistical signal processing , Bayesian analysis , and Monte Carlo methods for applications in wireless communication, sensor networks, system modeling, and biomedical signals. He has developed advanced algorithms for data detection, channel estimation, and adaptive filtering in dynamic communication environments. Key trends in his 15 most recent publications (2012–2017) include innovations in distributed particle filtering Laplace autoregressive modeling non-invasive biomedical monitoring systems reduced-complexity precoding for MIMO-OFDM Bayesian methods in relay-based communication multi-band signal processing. Scientific recognition includes the Best Paper of the Year Award from IEEE Signal Processing Magazine (2007) for co-authoring a seminal work on particle filtering in wireless communications. His teaching portfolio includes courses on digital signal processing, wireless communication, and statistical signal processing at undergraduate and graduate levels.

Ramy H. Goharyمشاهده پروفایل

استادیار

• Machine-to-machine communications
• Internet-of-Things (IoT)
• MIMO wireless communication systems
• +۹ مورد دیگر

Ramy H. Gohary is an Assistant Professor in the Department of Systems and Computer Engineering at Carleton University. His research focuses on advanced wireless communication systems, including machine-to-machine communications, Internet-of-Things (IoT), MIMO systems, convex optimization, differential geometry applications in signal processing, and information-theoretic aspects of multiuser systems. Principal Investigator for Ericsson-Carleton Strategic Partnership projects on 5G+ wireless networks Research emphasizes fairness, cross-layer design, cooperative communications, and jamming-resistant detection techniques His recent work explores direction-of-arrival estimation, non-coherent communication in jamming environments, and distributed MIMO architectures. Publications highlight applications of differential geometry, optimization techniques, and sparse signal recovery in modern wireless systems. He actively contributes to advancements in channel modeling, beamforming, and energy-efficient network design.