جست‌وجوی استاد و پژوهشگر

David Tseمشاهده پروفایل

استاد

• Information Theory
• Wireless Communication
• Networking
• +۳ مورد دیگر

David Tse is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds a Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology (1994) and a B.A.Sc. in Systems Design Engineering from the University of Waterloo (1989). Education: B.A.Sc., Systems Design Engineering, University of Waterloo (1989) M.S., Electrical Engineering, MIT (1991) Ph.D., Electrical Engineering, MIT (1994) His research focuses on information theory , wireless communications , and networking , particularly on fundamental limits of communication systems, diversity-multiplexing tradeoffs, and capacity scaling in wireless networks. Selected work includes groundbreaking studies on MIMO channels , cooperative diversity , and spectrum sharing . Recent publications (2003–2007) analyze channel coherence, network capacity, and diversity-embedded coding, reflecting his emphasis on theoretical foundations of wireless communication. Key themes include fading channels, network optimization, and mathematical modeling using percolation theory and signal space approaches. Scientific Awards: IEEE Richard W. Hamming Medal (2019) National Academy of Engineering Member (2018) IEEE Information Theory Society Shannon Award (2017) IEEE Joint Paper Awards (2015, 2000, 2003) INFORMS Erlang Prize (2000) NSF CAREER Awards (1998) Okawa Research Grant (1997)

Yue Gaoمشاهده پروفایل

استاد

• Wireless Communications
• Smart Antennas
• Signal Processing
• +۴ مورد دیگر

Yue Gao is a Professor of Wireless Communications at the Institute for Communication Systems, University of Surrey. He holds a PhD from Queen Mary University of London (2007) and previously served as a lecturer, senior lecturer, and reader at QMUL. His research focuses on smart antennas, signal processing, spectrum sharing, millimeter-wave systems, and IoT in mobile/satellite communications. He has authored over 180 papers, two patents, a book, and five book chapters. Current roles include EPSRC Fellow (2018–2023) and editorial roles for IEEE Transactions on Cognitive Communications and Networking, Vehicular Technology, and Internet of Things Journal. Notable awards include the EU Horizon Prize (2016). His work spans interdisciplinary projects like GBSense (GHz Bandwidth Sensing) and contributes to 6G research. Collaborations include leadership roles at IEEE conferences and global spectrum sensing challenges. Research interests emphasize antenna design (e.g., 3D printed, Ka-band), sub-Nyquist sampling, and machine learning for spectrum reconstruction. Affiliated with Surrey’s antenna measurement facilities (NPL) for advanced testing (400 MHz to 110 GHz, THz spectroscopy). Active in mentoring PhD students in antennas/wireless communications and oversees projects like the GBSense Challenge, advancing sensor-driven spectrum management.

Ediz Cetinمشاهده پروفایل

دانشیار

• Radio Frequency Interference Detection
• Fault-Tolerant Reconfigurable Circuits
• Machine Learning Applications
• +۴ مورد دیگر

Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.

Le-Nam Tranمشاهده پروفایل

پژوهشگر

• Wireless Communications
• 5G/6G Network Optimization
• Signal Processing
• +۴ مورد دیگر

Dr. Le-Nam Tran is a researcher at the UCD School of Electrical & Electronic Engineering , University College Dublin. His work focuses on optimizing the last hop of 5G/6G wireless networks through mathematical programming, with emphasis on energy efficiency, interference management, and security against eavesdropping. Develops low-cost, low-complexity transmission techniques Projects supported by Science Foundation Ireland Career Development Award Author of over 80 peer-reviewed publications Research Keywords: Wireless Communications Network Security Signal Processing Energy-Efficient Systems Beamforming Optimization Interference Mitigation

Eleni Staiمشاهده پروفایل

استادیار

• Optimization
• Communications Networks
• Data Analytics
• +۴ مورد دیگر

Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens. Her academic credentials include: Diploma in Electrical and Computer Engineering, NTUA (2009) B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013) M.Sc. in Applied Mathematical Sciences, NTUA (2014) Ph.D. in Electrical Engineering, NTUA (2015) Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems. Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability. Her scientific contributions have been recognized through prestigious awards: Chorafas Foundation Best Ph.D. Thesis award Thomaidis Foundation Best M.Sc. Thesis award Best Paper Award at ICT 2016 Best Presenter Award at IEEE ENERGYCON 2022 Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems. Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.

• Photovoltaics
• Solar Energy Systems
• Silicon Solar Cells
• +۵ مورد دیگر

Jef Poortmans is a Visiting Professor at KU Leuven, Belgium, specializing in photovoltaic technologies and solar energy systems. His research spans multiple applications including conventional solar installations, agrivoltaics, vehicle-integrated photovoltaics, and tandem solar cell configurations. Affiliated with the Electa department at KU Leuven, he maintains an active research profile with numerous publications extending into 2025. His research interests focus on advancing photovoltaic technology across multiple dimensions. Poortmans investigates thermal modeling to improve energy yield predictions, develops lightweight PV modules for vehicle integration, explores agrivoltaic systems that combine agriculture with solar energy production, and works on next-generation perovskite and tandem solar cell technologies. His work often addresses practical implementation challenges including reliability under various environmental conditions, mechanical integration requirements, and performance optimization for specific applications. Analysis of his recent publications reveals a strong emphasis on practical implementation challenges of photovoltaic systems. His work spans fundamental materials science (particularly for perovskite and thin-film technologies), system integration challenges (especially for vehicle applications), and innovative approaches to land use optimization through agrivoltaics. A recurring theme is addressing reliability and performance issues under real-world operating conditions rather than ideal laboratory settings. Poortmans frequently collaborates with researchers across multiple institutions, indicating strong industry and academic connections within the photovoltaics community. His work appears in high-impact journals including Solar Energy Materials and Solar Cells, Scientific Reports, and Advanced Functional Materials, demonstrating recognition within the field. While specific grant information isn't detailed in the provided materials, his extensive publication record across diverse photovoltaic applications suggests successful funding acquisition for multiple research projects. His involvement in PhD theses supervision indicates active mentorship of next-generation researchers in the photovoltaics field. His research group appears to focus on bridging fundamental photovoltaic science with practical engineering applications, particularly addressing the reliability and integration challenges that prevent wider adoption of solar technologies in non-traditional applications like vehicles and agricultural settings.

Hina Tabassumمشاهده پروفایل

دانشیار

• 5G/B5G wireless communications
• Massive MIMO
• Mm-wave communication
• +۹ مورد دیگر

Hina Tabassum is an Associate Professor at the Lassonde School of Engineering , York University, Canada, specializing in 5G/6G wireless communications and sensing applications. She was awarded the York Research Chair in 2023 for her work in 5G/6G-enabled mobility and sensing. Areas of Expertise: THz communications, WiFi sensing, and multi-band wireless systems Editorial Roles: Area Editor for IEEE OJCOMS and Associate Editor for multiple IEEE journals Research Focus : Ultra-reliable low-latency communication Reconfigurable intelligent surfaces (STAR-RIS) Machine-type communications Energy-efficient network design Scientific Recognition : Stanford's Top 2% World Researchers (2021-2024) Lassonde Innovation Early-Career Researcher Award (2023) N2Women Rising Stars (2022) Multiple IEEE Exemplary Editor/Reviewer Awards

Md. Zoheb Hassanمشاهده پروفایل

استادیار

• Spectrum sharing and management
• Wireless communication systems
• Communications and network control and regulation systems
• +۱ مورد دیگر

Md. Zoheb Hassan serves as an Assistant Professor in the Department of Electrical Engineering and Computer Engineering at Laval University, where he leads cutting-edge research in wireless communications and spectrum management. His academic role includes graduate recruitment and active participation in the university's research ecosystem, particularly through the Establishment of the Next Generation of Professors program funded by FRQNT. Dr. Hassan's research centers on spectrum sharing and management, wireless communication systems, and communications network control systems. He pioneers the integration of digital twin technology and machine learning to solve critical challenges in next-generation networks, including interference management in 5G/6G aerial corridors, Internet of Vehicles, and satellite-terrestrial integration. His work emphasizes practical implementations such as proof-of-concept demonstrations for tactical networks and proactive resource allocation in dynamic environments. Analysis of his 2024-2025 publications reveals a dominant trend toward AI-driven wireless resource optimization, with 12 of 15 recent papers featuring digital twins for interference management, spectrum sharing, and energy efficiency. Key thematic clusters include vehicular communications (4 papers), underwater IoT networks (2 papers), and hardware-impairment resilient designs (3 papers), demonstrating his focus on bridging theoretical advances with real-world deployment challenges across diverse network topologies. Dr. Hassan has secured significant competitive funding for his research initiatives: Digital Twin-Enhanced Interference Management for Next-Generation Radio Access Networks in the FR3 Band (FRQNT, 2025-2027) Center for Radio Frequency and Communications Systems, Technologies and Applications (FRQNT, 2024-2030) Context-Aware Spectrum Sharing and Management for Next Generation Wireless Networks (NSERC, 2024-2029) Development of innovative technologies for modeling predictive systems in urban mobility (MITACS, 2022-2026) Springboard to Discovery supplement for Context-Aware Spectrum Sharing (NSERC, 2024-2025) He actively mentors doctoral candidates, currently supervising Mahima Karim (PhD in Electrical Engineering, expected 2025) and Mohammadamin Parhizgar (PhD in Electrical Engineering, expected 2024). His supervisory approach combines theoretical rigor with practical problem-solving, focusing on spectrum management algorithms and digital twin implementations for next-generation networks. While specific laboratory affiliations aren't detailed in the source material, his projects indicate strong alignment with Laval University's wireless research infrastructure and the Center for Radio Frequency and Communications Systems.

Ahmed Saeedمشاهده پروفایل

استادیار

• Scalable Computer Networks
• Congestion Control
• Operating Systems
• +۵ مورد دیگر

Ahmed Saeed is an Assistant Professor in the School of Computer Science at Georgia Institute of Technology, specializing in scalable computer networks and systems. His research spans congestion control, operating systems, LEO satellite networks, and formal methods, with a strong record of publications and active mentorship. Education: PhD in Computer Science, Georgia Institute of Technology (2019) Bachelor's in Computer and Systems Engineering, Alexandria University (2010) Postdoctoral Associate, MIT (with Prof. Mohammad Alizadeh) Research Interests: Ahmed's work focuses on the theory, design, and implementation of scalable networked systems. Key themes include: Congestion control algorithms for datacenter and WAN traffic Overload control mechanisms for microsecond-scale RPCs Performance debugging tools for datacenter applications LEO satellite network modeling and policy analysis Formal verification of network protocols and resource schedulers Recent Publications Trend: His 2024-2025 papers emphasize LEO satellite resilience and datacenter performance , with contributions to emergency failover modeling, latency debugging tools, and congestion control protocols. These works combine empirical measurement, formal modeling, and policy recommendations. Awards & Funding: NSF CAREER Award (2024) – LEO satellite variability ($600k) NSF CNS Core Awards (2022) – Edge server stacks & formal verification (total $2.38M) Google Research Award (2022) – Scalable edge systems ($80k) DARPA Risers Top 5 Poster (2022) Spec Tech Award (2023) – Nanomodular electronics routing ($40k) Teaching & Service: He regularly teaches Computer Networking I (CS 3251) and Datacenter Networks & Systems (CS 8803) . Service includes PC roles for SIGCOMM, NSDI, CoNEXT, and Networking area co-chair for JSys. Lab & Students: Ahmed leads an active research group with PhD students Peidi Song, Bhaskar Pardeshi, Sherif Abdelrazek; MS students Dhyey Thummar, Pratyush Sahu, Sammy Kapoor; and undergraduate Demi Lei. Alumni have joined industry leaders like Juniper, Microsoft, and Snowflake.

• AI-enabled communications
• Green and energy-efficient communications
• Online optimization and machine learning
• +۶ مورد دیگر

E. Veronica Belmega is a Full Professor at ESIEE Paris (Université Gustave Eiffel) and a researcher at the LIGM laboratory in Marne-la-Vallée, France. Previously, she served as an Associate Professor at ENSEA graduate school and Deputy Director of the ETIS laboratory in Cergy. She holds an Engineer Degree from the University Politehnica of Bucharest, M.Sc. and Ph.D. from Université Paris-Sud 11, and an HDR habilitation from Université de Cergy-Pontoise. Her research focuses on AI-driven communication systems, energy efficiency, online optimization, and cyber-physical security, with a strong emphasis on applications in smart grids and IoT. Her work spans securing wireless communications against adversarial attacks, optimizing resource allocation in cognitive radio networks, and leveraging machine learning for GNSS localization and MIMO systems. Notable contributions include game-theoretic frameworks for PMU deployment and energy-efficient NOMA systems. Belmega has received prestigious awards such as the 2021 CY Alliance Award and the L’Oréal-UNESCO fellowship, and serves as an Area Editor for IEEE Trans. on Machine Learning in Communications and Networking. Current projects include a CEA LETI postdoc position on AI localization and a PEPR 5G project. She actively contributes to special issues like the EURASIP JASP on sustainable wireless communications. Belmega’s advising includes PhD student S. Maleki, co-author of her 2024 IEEE SmartGridComm Best Paper Award-winning work.

Shamik Senguptaمشاهده پروفایل

استاد

• Wireless Networking & Mobile Computing
• Unmanned Autonomous Systems
• Cognitive Radio
• +۲۸ مورد دیگر

Shamik Sengupta is the Ralph E. and Rose A. Hoeper Professor at the University of Nevada, Reno (UNR) , where he serves as Professor in the Department of Computer Science & Engineering and Executive Director of the Cybersecurity Center . He holds a PhD in Computer Science from the University of Central Florida (2007) and a BE in Computer Science from Jadavpur University (2002). IEEE Senior Member Director, UNR Cybersecurity Center NSF CAREER Award Recipient

Mohamed Ibnkahlaمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Internet of Things (IoT)
• Cognitive Radio Networks
• +۵ مورد دیگر

Dr. Mohamed Ibnkahla is a Full Professor and NSERC/Cisco Senior Industrial Research Chair in Sensor Networks for the Internet of Things (IoT) at Carleton University's Department of Systems and Computer Engineering. He holds a Ph.D. and HDR from the National Polytechnic Institute of Toulouse (INP), France. His research focuses on IoT, wireless sensor networks, cognitive radio systems, and adaptive signal processing, with applications in smart cities, healthcare, energy, and transportation. He has led numerous industry and government-funded projects, including the Carleton-Cisco IoT Testbed. Education: Ph.D. and HDR (INP Toulouse, 1996/1998), Engineering and MSc in Electronics/Signal Processing (INP Toulouse, 1992). He previously served at Queen’s University (2000–2015) and INP Toulouse (1996–1999). Research Interests: IoT security, energy harvesting, cognitive radio networks, smart grid communication, and machine learning for wireless systems. His work spans theoretical contributions (e.g., 5 books on signal processing and IoT) and applied innovations (e.g., sensor network architectures for environmental monitoring). He has published over 150 peer-reviewed papers, 4 books, and supervised ~40 graduate students. Awards include the INP Leopold Escande Medal (1997) and Ontario’s Prime Minister’s Research Excellence Award (2000). His lab develops solutions for IoT trust management, edge computing, and decentralized access control using blockchain. Key Projects: Cisco-funded IoT sensor networks for smart cities, NSF-funded cognitive radio projects, and collaborations on eHealth systems. His research addresses IoT security challenges in healthcare, transportation, and energy grids, emphasizing scalable, energy-efficient solutions.

• Operations Research
• Optimization
• Combinatorial Optimization
• +۶ مورد دیگر

Michael Trick is the Senior Associate Dean for Faculty and Research and Higgins Professor of Operations Research at the Tepper School of Business, Carnegie Mellon University. His research focuses on combinatorial optimization, sports scheduling, constraint programming, and operations research applications. He has contributed to seminal work on sports timetabling (e.g., scheduling college basketball conferences) and the traveling tournament problem. Trick's work bridges theoretical advancements with practical applications, including integer programming, branch-and-price methods, and stochastic dynamic programming. He has led initiatives in operations research education and served as President of INFORMS, emphasizing the field's societal impact. His research also spans voting systems, optimization for newspaper zoning, and algorithmic design for complex scheduling problems. Trick's expertise spans academic leadership, research methodology, and cross-disciplinary applications. His articles address topics like auction design for spectrum allocation, bike-sharing logistics, and robust scheduling strategies. He collaborates across academia and industry, contributing to both theoretical advancements and real-world operational challenges. His work often highlights the practical utility of mathematical programming techniques in diverse domains.

Frank Kellyمشاهده پروفایل

استاد

• Random processes
• Networks
• Optimization
• +۳ مورد دیگر

Professor Frank Kelly holds the Professor of the Mathematics of Systems at the University of Cambridge , affiliated with the Department of Pure Mathematics and Mathematical Statistics (DPMMS). His work bridges theoretical insights with practical applications in random processes , networks , and optimization . Academic Rank: Professor Department: DPMMS Research Themes: Stochastic systems, network resource allocation, mathematical modeling Kelly’s research focuses on stochastic networks , including congestion control in communication systems, fair bandwidth sharing , and electricity grid optimization . His work often incorporates proportional fairness principles and Markov models to analyze complex systems. Recent publications reveal a trajectory in network dynamics and resource allocation , with applications to electric vehicles, satellite routing, and virtualized networks. His work shows interdisciplinary impact across computer science , telecommunications , and energy systems . Kelly has contributed foundational works like Stochastic Networks (2014) and pioneered models for loss networks and congestion control . He maintains active collaborations and has advised on policy matters, including spectrum auctions and network regulation.

Simone Silvestriمشاهده پروفایل

استاد

• Cyber-Physical-Human Systems
• Internet of Things
• Smart Grid Security
• +۵ مورد دیگر

Simone Silvestri is a Professor and Director of Graduate Studies in the Department of Computer Science at the University of Kentucky, within the Stanley and Karen Pigman College of Engineering. He has held this position since 2025, having previously served as Associate Professor from 2021-2025 and Assistant Professor from 2017-2021. Prior to his appointment at UK, he was an Assistant Professor at Missouri University of Science and Technology (2014-2017) and held postdoctoral positions at Pennsylvania State University (2012-2014) and Sapienza University of Rome (2010-2012). Dr. Silvestri earned his Ph.D. in Computer Science from Sapienza University of Rome, Italy in 2010, following a Laurea cum Laude in Computer Science from the same institution in 2006. His research focuses on Cyber-Physical-Human Systems, Internet of Things, Smart Grid Security, Terrestrial and Aerial Mobile Networks, and Network Management. His work bridges computer science with practical applications in agriculture, energy management, and disaster response scenarios. His research program has been supported by over $5 million in federal funding, including an NSF CAREER award in 2020. He has published more than 100 papers in top-tier journals and conferences including IEEE Transactions on Mobile Computing, IEEE Transactions on Smart Grids, and ACM Transactions on Sensor Networks. His recent work shows a strong trend toward applying cyber-physical systems to agricultural technology, energy management, and precision livestock farming, with increasing integration of machine learning techniques. NSF CAREER Award (2020) Best Demo Runner-Up Paper - IEEE PerCom (2025) Excellent Editor Award - IEEE Transactions on Network Science and Engineering (2024) Best Editor Award - Elsevier Pervasive and Mobile Computing (2024) Best paper award - IEEE International Conference on Network Protocols (2009) Dr. Silvestri has advised numerous graduate students to completion, including Ph.D. candidates Xu Tao and Ashtuoth Timilsina, and Master's students Josh Guess and Seifalla Moustafa. His research group has secured significant funding from NSF, NIFA, NATO, and other agencies for projects totaling over $6 million. He also created the CSMentor resource, providing guidance for computer science graduate students on academic writing, PhD success, and career development. Dr. Silvestri actively collaborates with researchers across multiple disciplines, particularly in agricultural technology and precision farming applications.