جست‌وجوی استاد و پژوهشگر

Scott Millerمشاهده پروفایل

مدرس

• Physical Layer Security
• Visible Light Communication (VLC)
• Acoustic Telemetry Systems
• +۵ مورد دیگر

Scott Miller is a Lecturer in the Department of Industrial & Systems Engineering at Texas A&M University. His research focuses on physical layer security, wireless communication systems, and signal processing in harsh environments. He specializes in visible light communication (VLC), acoustic telemetry, and hybrid FSO-mmWave systems. Key contributions include secure IM-OFDMA system design, IQ imbalance analysis, and medium-specific communication protocols for downhole monitoring. Research interests span secure communication protocols, network coding, cognitive radio networks, and system reliability in fading channels. He has pioneered work on VLC-based downhole gas pipeline monitoring using hydrogen/nitrogen mediums and developed learning-based link selection approaches for hybrid wireless systems. His work emphasizes practical applications in industrial telemetry and secure wireless transmission. Notable trends in his publications include: Advancements in physical layer security mechanisms for uplink systems Innovative use of non-traditional mediums (e.g., CO₂, hydrogen) for VLC Integration of machine learning for signal detection and link optimization Robustness analysis of hybrid FSO-mmWave networks under various impairments His research bridges theoretical communication frameworks with real-world industrial applications, addressing challenges in energy, oil/gas sectors, and secure IoT deployments.

• Stochastic Simulation
• Rare Event Estimation
• Wireless Communications
• +۳ مورد دیگر

Nadhir Ben Rached serves as a Lecturer at the School of Mathematics, University of Leeds, specializing in stochastic simulation methodologies with applications spanning wireless communications and stochastic differential equations. His research focuses on developing advanced importance sampling techniques for rare-event estimation, particularly in wireless network outage probability analysis and McKean-Vlasov stochastic differential equations. Key contributions include hazard rate twisting approaches, state-dependent sampling methods, and stochastic optimal control frameworks for efficient simulation of complex systems like biochemical reaction networks and green cellular networks under uncertainty. Recent publications (2023-2025) reveal a concentrated research trajectory toward integrating optimal control theory with Monte Carlo methods for rare-event probability estimation, alongside significant work on renewable energy integration in wireless networks. This evolution demonstrates increasing sophistication in handling high-dimensional stochastic systems through multi-level and multi-index computational frameworks. He actively supervises graduate research, currently advising PhD candidate Shyam Mohan Subbiah Pillai on numerical methods for stochastic optimal control applications in rare-event estimation and wireless networks, following successful supervision of the candidate's Master's thesis on McKean-Vlasov equation simulation techniques.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

Javier Garcia-Friasمشاهده پروفایل

استاد

• Information Processing
• Communications
• Bioinformatics
• +۳ مورد دیگر

Prof. Javier Garcia-Frias is a Professor and Associate Chair for Graduate Studies in the College of Engineering at the University of Delaware. His research focuses on advancing information processing techniques in communications, bioinformatics, and quantum computing. He holds a PhD in Electrical Engineering from UCLA and has been recognized with prestigious awards including the NSF CAREER Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). Education: PhD in Electrical Engineering, University of California, Los Angeles Research Interests: Quantum error correction and channel modeling Analog coding for bandwidth expansion and image transmission Information-theoretic approaches in optical lithography Probabilistic methods for signal processing and decoding Awards: 2001 NSF CAREER Award 2001 PECASE (White House honor) IEEE Senior Member (2008) Listed in Who’s Who in American Education and Science/Engineering Grants and Collaboration: Recipient of NSF grants for quantum error-correcting codes and analog coding Co-investigator in CIF-funded projects on hybrid analog-digital schemes Labs/Teams: Active in quantum computing and communications research groups at the University of Delaware

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۶ مورد دیگر

Claude D'Amours is a Professor in the Department of Electrical and Computer Engineering at the University of Ottawa, Faculty of Engineering. With a research career spanning over two decades, his work has significantly contributed to the fields of wireless communications, signal processing, and network security. His current research focuses on cutting-edge technologies including 5G/6G networks, UAV communications, reconfigurable intelligent surfaces, and physical layer security. Dr. D'Amours' research interests center on advanced wireless communication systems, with particular emphasis on MIMO technologies, CDMA systems, spectrum sensing techniques, and channel modeling for emerging applications. His work bridges theoretical foundations with practical implementations, addressing critical challenges in modern wireless networks including interference management, security vulnerabilities, and efficient resource allocation. Recent research has expanded into UAV communications, where he investigates channel characteristics and reliability issues in drone-based networks. Analysis of his recent publications reveals a strong focus on security aspects of wireless communications, particularly physical layer security mechanisms to counter jamming attacks and eavesdropping. His work on RF fingerprinting for device authentication in industrial IoT settings demonstrates practical applications of his theoretical research. The trend in his publications shows increasing attention to 5G/6G technologies, with particular emphasis on millimeter wave communications, hybrid precoding architectures, and novel approaches to spectrum sharing. Multiple publications on UAV-to-ground channel modeling and performance analysis Research on physical layer security mechanisms against jamming attacks Work on hybrid precoding architectures for mmWave MIMO systems Studies on RF fingerprinting for secure industrial IoT applications Investigations into spectrum sensing techniques for cognitive radio Dr. D'Amours maintains active research collaborations with numerous colleagues, particularly Michel Kulhandjian, Hovannes Kulhandjian, and François Chan, resulting in a consistent stream of high-impact publications across top-tier IEEE journals and conferences. His research group appears to focus on both theoretical analysis and practical implementation of advanced wireless communication techniques, with applications spanning from critical mission communications to industrial IoT security.

Mai Vuمشاهده پروفایل

استاد

• Machine Learning
• Wireless Communications
• 5G/6G Systems
• +۳ مورد دیگر

Dr. Mai Vu is a Professor in the Department of Electrical and Computer Engineering at Tufts University, with a secondary appointment in Computer Science. She leads the Laboratory for Intelligent NetworKed Systems (LiNKS), focusing on machine learning and wireless communication systems, particularly for 5G/6G networks. Her research addresses challenges in beamforming, user association, and network optimization using advanced optimization and reinforcement learning techniques. Education: Ph.D. in Electrical Engineering from Stanford University (2006), MS from Stanford and University of Melbourne, and B.E. from RMIT University. Research Interests: Machine learning applications in wireless networks, optimization algorithms, 5G/6G systems, and reconfigurable intelligent surfaces (RIS). Her group has published extensively on topics like hybrid beamforming, user association in dense networks, and interference mitigation. Awards: Senior Member of IEEE, Editor roles for IEEE Transactions on Wireless Communications (2013-2016) and IEEE Transactions on Communications (since 2022). Active in conference organization, including Technical Program Co-Chair for IEEE Communication Theory Workshop 2023. Grants: Multiple NSF-funded projects on terahertz networks, edge computing, and RIS beamforming. Collaborates on latency-aware VR/AR edge computing and 6G system design. Labs/Teams: LiNKS lab actively involves PhD students and postdocs in projects like GNN-based beamforming and satellite-terrestrial network coexistence.

• Wireless Backhaul Networks
• Multi-hop Wireless Sensor Networks
• Channel Assignment Algorithms
• +۲ مورد دیگر

King-Sun Chan is a Lecturer in Electrical and Computer Engineering at Curtin University. His research focuses on wireless communication systems, including multi-hop sensor networks, IEEE 802.16 backhaul solutions, and resource allocation for delay-sensitive applications. Published works address MAC layer protocols, channel assignment algorithms, and quality-of-service optimization in wireless environments. Key contributions include distributed channel assignment techniques for failure-tolerant networks and hidden node collision mitigation in multi-channel systems. Research employs simulation-based validation of throughput and delay performance.

• Resilience of Infrastructure Systems
• Disaster Management
• Transportation and Supply Network Analysis
• +۶ مورد دیگر

Dr. Jinzhu Yu is an Assistant Professor at the University of Texas at Arlington, holding primary affiliation in Civil Engineering and a secondary appointment in Industrial, Manufacturing, and Systems Engineering. He earned his Ph.D. in Interdisciplinary Systems Engineering from Vanderbilt University and conducted postdoctoral research at Rensselaer Polytechnic Institute. His work focuses on resilient urban systems through network science, operations research, and AI/ML. Research interests include infrastructure resilience, disaster management, transportation networks, and decision-making under uncertainty. Education: PhD, Interdisciplinary Systems Engineering, Vanderbilt University (2020) MS, Civil Engineering, Tongji University (2016) BS, Civil Engineering, Tongji University (2013) Research Highlights: Dr. Yu develops models for infrastructure resilience, climate adaptation, and equity. Recent projects include TxDOT-funded work on transportation asset management and crowd-sourced bicycle/pedestrian safety data. His lab integrates data science and network analytics to enhance urban systems. Awards: Urban Resilience Fellow (2024) STARs Award (2022) Student Merit Award (2017) Grants & Advising: Active projects include $319K TxDOT grant (2024) and leadership in NSF reviews. Supervises interdisciplinary students in civil engineering, systems engineering, and computer science.

Martina Cardoneمشاهده پروفایل

دانشیار

• Information Theory
• Wireless Communications
• Network Security
• +۵ مورد دیگر

Martina Cardone is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities, leading the Cardone Research Group from her office in Keller Hall. Her work bridges theoretical frameworks with practical engineering solutions in next-generation communication systems. Her research focuses on developing fundamental theoretical frameworks and computationally feasible techniques for real-world problems. Primary areas include information theory foundations for wireless communications (particularly 5G/mmWave networks), network security protocols, privacy-preserving data publishing, distributed caching architectures, and optimization of network coding algorithms. She investigates high-data-rate transmission schemes, low-complexity scheduling for relay networks, and vulnerability mitigation strategies. Recent publications reveal strong thematic trends in mmWave network optimization for ultra-reliable low-latency communication, information-theoretic bounds in estimation theory, and secure distributed computing under adversarial conditions. Her work consistently connects theoretical limits with implementable solutions for emerging communication paradigms. Scientific Awards: NSF CAREER Award Professor Cardone directs multiple NSF-funded research initiatives including the CAREER project on secure mmWave communications, RINGS for network reliability, and projects on half-duplex wireless scheduling and privacy-preserving distributed computing. She actively mentors graduate students and recruits new researchers through her Cardone Research Group, emphasizing both theoretical depth and practical implementation. The Cardone Research Group operates at the intersection of information theory and network engineering, with current projects targeting mmWave reliability, secure communication frameworks, and distributed computing architectures that withstand adversarial attacks while maintaining privacy guarantees.

• Blockchain Technology
• Non-Fungible Tokens (NFTs)
• Computer Networks
• +۷ مورد دیگر

Shital Joshi is a Teaching Associate Professor in the Department of Computer Science at Oklahoma State University. Her academic career spans roles as a Teaching Assistant Professor (2019–2025) and current position since July 2025. She holds a Ph.D. in Computer Engineering from the University of North Texas (2016). Her research focuses on blockchain technologies, NFT performance modeling, IoT security, energy-efficient networks, and nanoelectronic circuit design. Her work bridges theoretical models with practical implementations, including adaptive blockchain systems, secure telemedicine frameworks, and graphene-based SRAM optimization. Notable contributions include bivariate performance models for NFT chains and energy-efficient routing protocols for wireless sensor networks. She actively participates in academic service, such as the 2023 ABET Symposium. Joshi teaches core computer science courses like Operating Systems, Data Structures, and Computer Systems, emphasizing hands-on learning. Her teaching spans from foundational courses (e.g., Computer Proficiency) to advanced topics (e.g., Memory Management in OS Design).

• Wireless Communications
• Satellite Networks
• Millimeter Wave Communications
• +۱۲ مورد دیگر

Ibrahim Altunbas is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), College of Engineering. He is actively involved in research on next-generation wireless communication systems, with a strong focus on satellite networks, terahertz and millimeter-wave communications, non-orthogonal multiple access (NOMA), spatial modulation, and hybrid RF/FSO systems. His work integrates theoretical modeling with practical design for high-efficiency and reliable wireless links. His research interests span a wide range of advanced topics in telecommunications, including antenna selection, full-duplex communication, index modulation for drone networks, and error performance analysis in fading environments. The fingerprint of his research highlights key areas such as Error Performance , Fading Channels , Antenna Selection , Outage Probability , and Transmit Antenna Selection , reflecting his deep expertise in physical layer communication design. The recent trend in his publications shows a strong emphasis on satellite-based communication using emerging technologies like Rate-Splitting Multiple Access (RSMA), NOMA, and HAPS-assisted networks. His work frequently addresses challenges in power allocation, decoding order optimization, I/Q imbalance, and pointing errors in high-frequency systems. These contributions demonstrate a consistent effort toward enhancing spectral efficiency, energy efficiency, and reliability in future wireless networks. Episode-Based Broadcast Performance Award (2021) ITU BAP International Scientific Cooperation Development Support (2015) ITU Rectorate Scholarship Program (2001) Project Performance Award (2017) Vehbi Koç Foundation Scholarship (1997) As Principal Investigator (PI), he has led multiple BAP-funded research projects at ITU, including studies on turbo and LDPC coding in THz channels, NOMA for satellite networks, index modulation for drone communications, and multi-hop spatial modulation systems. These projects highlight his leadership in driving innovation in wireless technologies. While specific grant amounts are not listed, the volume and continuity of funded projects indicate sustained research support. He is currently supervising 29 theses, reflecting his active role in mentoring graduate students in cutting-edge communication research. His research is conducted within the framework of ITU’s Department of Electronics and Communication Engineering, where he collaborates with students and researchers on projects involving simulation, performance analysis, and system design for future wireless networks. His lab focuses on physical layer innovations, particularly in multi-antenna systems, satellite-HAPS integration, and novel modulation techniques.

Dirk Slockمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۶ مورد دیگر

Dirk Slock is a Professor at EURECOM's Communication Systems department. His research focuses on advanced signal processing for wireless communications, including transmitter/receiver design for 4G/5G systems, Massive MIMO, stochastic geometry, and audio signal processing. He has contributed to areas like interference management, compressive sensing, and Bayesian methods. Slock teaches courses on statistical signal processing and wireless communication techniques. His notable awards include IEEE Fellow (2006) and EURASIP Fellow (2015). Collaborations with students like Christo Kurisummoottil Thomas have yielded Best Student Paper Awards at SPAWC 2018. His work addresses challenges in cell-free MIMO, semi-blind channel estimation, and secure communication systems. Recent research trends explore ultra-massive MIMO signal detection, dynamic channel prediction with tensor methods, and cell-free network optimization. His publications span 639 entries, emphasizing practical implementations of theoretical signal processing advancements.

Nadhir Ben Rachedمشاهده پروفایل

مدرس

• Stochastic Mathematical Modelling
• Stochastic Numerics
• Monte Carlo Methods
• +۱۱ مورد دیگر

Dr Nadhir Ben Rached is a Lecturer in Statistics at the School of Mathematics within the Faculty of Engineering and Physical Sciences at the University of Leeds. His academic journey includes a PhD in Applied Mathematics and Computational Science from KAUST (2018), a Master's degree from KAUST (2013), and a Diplôme d’Ingénieur from École Polytechnique de Tunisie (2012). Education: PhD, Applied Mathematics and Computational Science, KAUST (2018) MSc, Applied Mathematics and Computational Science, KAUST (2013) BSc, Polytechnic Engineering, École Polytechnique de Tunisie (2012) Nadhir’s research centers on stochastic mathematical modelling and stochastic numerics , focusing on high-dimensional systems, rare events, and low regularity challenges. His work develops Monte Carlo methods and variance reduction techniques , particularly Multilevel Monte Carlo (MLMC) and Multi-Index Monte Carlo (MIMC) , to address computational inefficiencies in simulations. Applications of his research span computational finance , wireless communications , biological systems , and supply chain optimization . Current projects include stochastic optimal control (SOC) for power procurement in renewable-powered wireless networks and inventory management under uncertain demand. He designs scalable algorithms for high-dimensional stochastic systems , emphasizing practical decision-making frameworks. From October 2022 to October 2024, Nadhir was 50% seconded to the UK Met Office, fostering collaborations in weather and climate science. He is an Associate Editor for Statistics and Computing and a member of research groups including Modern Applied Statistics, Probability and Financial Mathematics, and Statistical Methodology.

Alessandro Zoccaمشاهده پروفایل

استادیار

• Applied Probability
• Stochastic Dynamics on Networks
• Power Systems Resilience
• +۳ مورد دیگر

Alessandro Zocca is an Assistant Professor in the Department of Mathematics at the Vrije Universiteit Amsterdam , where he has been since 2019. His research sits at the intersection of applied probability , reinforcement learning , and network optimization , with primary applications in power systems resilience against climate-driven uncertainties. Education: PhD in Mathematics (2015, Eindhoven University of Technology), Postdoctoral work at Caltech (2017-2019) and CWI Amsterdam (2016-2017) Key Research Themes: Stochastic dynamics on networks, climate crisis impact on infrastructure, optimization under uncertainty Awards: Applied Probability Trust award (2015), NWO Rubicon grant (2017) His recent work focuses on reinforcement learning for grid topology control, two-stage stochastic programming for exponential constraint handling, and Markov Chain Monte Carlo methods for rare-event analysis. He actively supervises five PhD students on topics ranging from weather-driven grid failures to stochastic frequency reserve optimization . Co-author of the textbook Hands-On Mathematical Optimization with Python (Cambridge University Press, 2025), he also organizes the IFIP Performance 2025 conference in Amsterdam.

• Wireless Communication Systems
• Signal Processing
• Network Security
• +۳ مورد دیگر

Mustafa Matalgah is a Professor of Electrical and Computer Engineering at the University of Mississippi. He holds a B.S. from Yarmouk University (1987), an M.S. from Jordan University of Science and Technology (1990), and a Ph.D. from the University of Missouri-Columbia (1996). His research focuses on wireless communication systems, signal processing, and network security with a particular emphasis on UAV networks, fading channel analysis, and cooperative diversity techniques. Professor Matalgah has published extensively in top-tier journals and conferences, contributing to advancements in aviation communication systems, encryption algorithms for IoT, and relay-based cooperative networks. His work spans theoretical analysis of channel models, practical implementations of communication protocols, and real-time data transmission systems. Education: B.S. Electrical Engineering, Yarmouk University (1987) M.S. Electrical Engineering, Jordan University of Science and Technology (1990) Ph.D. Electrical Engineering, University of Missouri-Columbia (1996) Research Interests: Professor Matalgah’s research explores cutting-edge topics in wireless communication, including UAV networks, machine learning for drone activity classification, and robust encryption methods for IoT devices. He investigates the impact of fading channels on signal performance and develops protocols to enhance reliability in cooperative relay systems. His work often bridges theoretical models (e.g., outage probability analysis) with practical implementations (e.g., real-time flight data recorders). Advancing Communication Technologies: His articles highlight contributions to aviation safety through ground-based aircraft recorders, satellite data transfer optimization, and VHF digital link design. He also addresses challenges in mobile networks, such as enhancing throughput in V2X (vehicle-to-everything) systems and improving error performance in cryptographic transmissions over noisy channels.