Rainer Höckmann is a Researcher at the Laboratory for Digital and Microprocessor Technology , part of the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences . Since 2008, he has focused on digital systems, FPGA accelerators, and wireless network concepts. Education: Diplom-Ingenieur (FH) in Computer Science (2006) Research interests include: Digital and microprocessor technology FPGA-based hardware acceleration Embedded microcomputing systems Compiler construction and sensor technology Wireless network relaying strategies Quality-of-service mechanisms in telecom networks His publication trends show expertise in: Cooperative relaying topologies Multimedia broadcasting enhancements Portable FPGA design frameworks Next-gen network concepts Teaching activities include: Bildgebende Sensortechnik Compilerbau Digitaltechnik Embedded Systems Hardware/Software Co-Design Rechnerarchitektur Professional projects : HPVis visual data project (2012-2014) C-MOBILE (mobile multicast/broadcast) C-CAST (context-dependent data transport)
Eitan Altman is a full Professor at INRIA Sophia Antipolis , where he has held a tenure position since 1994. He has coordinated numerous projects in game theory , stochastic modeling , and wireless network optimization . Director of Research (Full Professor equivalent) at INRIA since 2009 Invited Professor at LIA, University of Avignon since 2005 Education : Habilitation (1998) - University of Nice-Sophia-Antipolis Ph.D. in Electrical Engineering (1990) - Technion, Haifa, Israel B.Sc. (Summa Cum Laude) - Electrical Engineering, Technion (1985) B.A. (Summa Cum Laude) - Physics, Technion (1985) Altman's research bridges game theory applications with telecommunications systems , focusing on network optimization , stochastic control , and dynamic resource allocation . His work includes modeling multi-hop ad-hoc networks , analyzing mobile network protocols , and developing power-saving mechanisms for wireless standards. Key scientific awards include: Distinguished Technical Achievement Recognition Award (IEEE TCBD, 2017) Isaacs Award (Society of Dynamic Games, 2014) Grand Prix France Telecom (French Academy of Sciences, 2012) INRIA Excellence in Research Award (2009) Best Associate Editor Award (Computer Networks, 2003) Altman has served as Associate Editor for multiple journals including IEEE/ACM Transactions on Networking and Journal of Dynamics and Games . He has coordinated European projects like BIONETS and CONGAS , and held leadership roles in workshops such as WiOpt and NetGcoop .
Emna Zedini is an Assistant Professor of Computer Science in the College of Innovation and Technology at the University of Michigan–Flint , where she leads research at the intersection of optical wireless communications and autonomous driving technologies. Education Ph.D. in Electrical Engineering (2016) – King Abdullah University of Science and Technology (KAUST), Saudi Arabia M.Sc. in Telecommunications (2011) – École Supérieure des Communications de Tunis (SUP’COM), Tunisia Engineering Diploma (2010) – SUP’COM, Tunisia Research Focus Her work centers on channel modeling and performance analysis of optical wireless communication systems and the application of artificial intelligence and reinforcement learning to autonomous driving. She explores free-space optics (FSO), intelligent reflecting surfaces (IRS), visible-light communication (VLC), and underwater optical links, while also developing decision-making algorithms for safe intersection navigation. Publications & Trends Since 2014 she has published more than thirty IEEE journal and conference papers. Recent contributions (2024–2025) emphasize hybrid terrestrial/non-terrestrial FSO links, phase-error mitigation in optical IRS, and deep-learning-based precoding for multi-user VLC systems, demonstrating a clear trajectory toward integrating optics with AI-enabled networking. Scientific Awards MWIN Faculty Innovation Fellowship (2025) – Michigan Wolverine Innovation Network Grants & Funding Principal Investigator on the Integrated AI Module for Safe Navigation project funded by RCA, $20,000, 01 Sep 2025 – 31 Aug 2026. Laboratory & Teams She maintains an active research group within the Computer Science, Engineering, and Physics Department at the University of Michigan–Flint, focusing on experimental validation of optical links and real-world deployment of AI algorithms in connected-vehicle testbeds.
Professor TUĞRUL ÇAVDAR is a distinguished academic at Karadeniz Technical University's Faculty of Engineering, Department of Computer Engineering, where he has served as a full Professor since 2024. Previously, he held positions as Associate Professor (2018-2024), Assistant Professor (2007-2018), and Lecturer (2005-2007). He also served as a visiting Assistant Professor at Northeastern University's Electrical & Computer Engineering department from 2012-2013. Currently, he serves as Head of Department at Karadeniz Technical University since 2010, and as Erasmus Program Institutional Coordinator since 2013. Dr. Çavdar completed his Doctorate (1997-2003), Postgraduate (1994-1997), and Undergraduate (1990-1994) studies all in Electronic Engineering at Karadeniz Technical University. His research spans multiple cutting-edge domains including Wireless Communication, Quantum Communication, Robotics and Mechatronics Systems, Humanoid Robots, Quantum Cryptography, Computer Networks, and Artificial Intelligence applications. His work bridges theoretical foundations with practical implementations in next-generation communication systems. His publication portfolio demonstrates a clear progression from traditional communication systems toward quantum and AI-enhanced networking solutions. Early works focused on wireless communication algorithms and robotics, while his recent publications emphasize quantum communication, machine learning applications in networking, and IoT security. His research shows strong interdisciplinary connections between computer engineering, quantum mechanics, and artificial intelligence. 170 H-Index (WoS) 351 H-Index (Scopus) 496 H-Index (Scholar) 3 H-Index (TrDizin) 4 H-Index (Sobiad) Professor Çavdar has supervised 11 theses including 5 doctoral and 6 master's students. He has secured numerous research grants from TÜBİTAK and other funding bodies, with recent projects focusing on quantum communication, AI optimization in composite materials, and autonomous systems. He serves as Editor for the Turkish Journal of Electrical Engineering & Computer Sciences and has been actively involved in reviewing for multiple international journals. His leadership extends to serving on assistant professorship appointment committees for various Turkish universities.
Nikolaos Batis is a Professor at the Department of Spatial Planning, Urban Planning and Regional Development Engineering at the University of Thessaly, where he has been serving since January 2020. He is also a member of the Integration Council of the University of Thessaly, which coordinates the procedures for completing the merger of the University with the Technical Institute of Thessaly. Prior to this, he served as a Professor at the General Department of the University of Thessaly (2019-2020) and as a Professor at the Department of Informatics Engineering at the TEI (Technical Educational Institute) of Thessaly from 2000 to 2019. His administrative experience includes serving as Rector of TEI of Thessaly (2017-2018), Vice President of the Management Council (2013-2016), and Dean of the School of Technological Applications (2003-2010). Batis earned his PhD in Operations Research from New York University Tandon School of Engineering in 1983, following Master's degrees in Economic Systems (1981) and Operations Research (1978) from the same institution, and a Mathematics degree from the National University of Athens in 1976. His academic career began as an Assistant Professor at the University of Massachusetts/Boston (1982-1984), followed by significant research work at Bell Laboratories (1984-1989) where he made foundational contributions to Frame Relay technology. Batis's research primarily focuses on high-speed communication protocols, network architecture, and operations research. His work at Bell Laboratories formed the basis for Frame Relay as an ANSI Standard, of which he was the Editor. He has published extensively in telecommunications, biomedical engineering (particularly in ocular microcirculation), and operations research. His research spans theoretical computer science, network design, and practical applications in telecommunications infrastructure. His publications reflect a diverse research trajectory from early work on network protocols and optimization algorithms to more recent interdisciplinary work combining telecommunications with biomedical applications. The most recent publications (2010-2013) show a focus on biomedical engineering applications, particularly in ocular microcirculation analysis, while maintaining connections to his foundational work in measurement systems and data analysis. EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (March 1989) for contributions to network architecture design EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (March 1988) for standardization of Frame Relay networking EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (July 1987) for packet mode networking in ISDN EXCECTIONAL CONTRIBUTION AWARD from Bell Labs (July 1985) for methodology development in telecommunications network design CERTIFICATE OF APPRECIATION from American Institute of Decision Sciences (March 1985) for fostering academic-industry collaboration Batis has supervised numerous research projects and has been instrumental in developing academic programs, including the creation of the Department of Information Technology and Telecommunications at TEI of Larissa. His research committee activities include leadership roles in major projects such as the 'Employment and Career Structure (DASTA) TEI' proposal and the 'Access Network and Core Services for Education' project. He has also contributed to European collaborative projects including 'INTELLECT - Intelligent Learning Environment for Course Telematics' and the development of the European Postgraduate Master in Information Systems program. His laboratory work has focused on computer applications in spatial design, with contributions to research centers including the Information Systems Research Center (KePS) and the Center for Applied Geoinformatics. His current research continues to bridge telecommunications engineering with biomedical applications, particularly in the measurement and analysis of microcirculatory systems.
Ivan Milovanović is a researcher at the Department of Postgraduate Studies , University of Singidunum, Belgrade, Serbia. He holds a doctoral degree in Advanced Protection Systems from Singidunum University (2015) and has previously completed master's and bachelor's studies in Contemporary Information Technologies and Graphics and Design at the same institution. His career spans roles in software development, wireless communication research, and neural network applications for electromagnetic signal processing. B.Sc. in Graphics and Design (2008), Singidunum University M.Sc. in Contemporary Information Technologies (2009), Singidunum University Ph.D. in Advanced Protection Systems (2015), Singidunum University Milovanović's research focuses on applying neural networks to solve complex problems in wireless communications, particularly in direction-of-arrival (DOA) estimation for stochastic electromagnetic sources. His work addresses challenges in localization accuracy, signal correlation, and power variation. He has contributed to advancements in 2D/1D DOA estimation using hybrid neural models, experimental validation of antenna array measurements, and noise interference analysis in wireless systems. Publications span topics like wireless sensor networks, channel modeling, and MESH network security. Recent publications highlight a strong interdisciplinary focus combining neural networks with electromagnetic signal processing , antenna array optimization , and wireless communication systems . His work explores stochastic source tracking, coherent signal resolution, and noise mitigation techniques, often collaborating with researchers like Z. Stanković and N. Dončov. While no scientific awards are explicitly mentioned in the provided text, his extensive publication record indicates active contributions to applied electromagnetics and telecommunications engineering.
Dr. Eduardo Feo Flushing is an Assistant Teaching Professor in the Software and Societal Systems Department at Carnegie Mellon University's School of Computer Science , based in Pittsburgh, PA. His role involves academic instruction and research at the intersection of software engineering, societal computing, and intelligent systems. Research Focus: His work spans robotics, distributed AI, and networked systems, with applications in critical domains. Primary research themes include: Multi-robot coordination for spatially distributed tasks Machine learning in healthcare diagnostics and renewable energy Wireless network optimization for mobile systems Human-robot collaboration under uncertainty Publication Trends: Recent articles (2021-2025) demonstrate a strong emphasis on applied machine learning (LLMs for medical ECG, deep learning for solar panel inspection) and advanced robotics (indoor mapping, task allocation in communication-constrained environments). Earlier work (2016-2020) focused on foundational aspects of multi-robot coordination, optimization, and wireless network resilience.
Ali Dziri is a permanent researcher at CentraleSupélec's Cedric Laboratory , focusing on wireless communications, signal processing, and embedded systems. His work spans 2004–2023 with key contributions in UWB communication, IoT networks, video/image transmission, and real-time tracking algorithms. His research interests include: Wireless Communications Signal Processing Embedded Systems Machine Learning IoT Networks Video/Image Compression Recent publications highlight trends in neural networks for channel equalization, MIMO relays for WSNs, and 5G D2D communication protocols. He has no listed scientific awards or advisees.
Jose Antonio Sueiro Dominguez is a Full-Time Teaching Professor at the School of Industrial Engineering, University of Vigo, Spain. His work focuses on Electrical Engineering, particularly in power systems and electrical network protection. He earned his Doctorate in 2006 from the University of Vigo with a thesis titled 'Contributions to the coordination of electrical network protection relays,' supervised by Dr. Eloy Díaz Dorado and Dr. Edelmiro Miguez Garcia. His research interests include energy systems, industrial engineering, and coordination of electrical networks.
Dr. Gilbert Kirouac is a Professor in the Department of Oral Biology at the Dr. Gerald Niznick College of Dentistry , University of Manitoba, with cross-appointments in Psychiatry and Human Anatomy and Cell Sciences. His research explores how brain circuits translate emotional experiences into motivated behaviors, focusing on the paraventricular nucleus of the thalamus (PVT) and its role in fear, anxiety, and stress. Education : BA in Psychology, MSc and PhD in Anatomy (University of Manitoba), Postdoctoral Fellowships in Physiology (University of Western Ontario and University of Calgary). Dr. Kirouac’s work employs anatomical, pharmacological, and molecular techniques in animal models to investigate PVT connectivity, neurobiology of stress, and interactions with dopamine and orexin systems. His research has significantly influenced global studies on the PVT, starting from the mid-1990s. Funded by the Canadian Institutes of Health Research (CIHR) , he examines synaptic function in thalamic circuits and their role in stress-related disorders like PTSD. Key article trends include: PVT connectivity with nucleus accumbens, amygdala, and extended amygdala Role of orexin/hypocretin and dopamine in anxiety and motivation Neural circuits balancing fear and reward-seeking Stress-induced social avoidance and behavioral plasticity Dysregulation in psychiatric and movement disorder models Dr. Kirouac holds an active email contact ( gilbert.kirouac@umanitoba.ca ) and maintains affiliations across multiple departments, reflecting his interdisciplinary expertise in behavioral neuroscience and neuroanatomy.
Olivier Lévêque is a Senior Scientist at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Computer and Communication Sciences. He conducts research at the Laboratory of Information Theory (LTHI) and holds teaching responsibilities in both Communication Systems (SSC) and Computer Science (SIN) sections. Additionally, he contributes to the Interface EPFL-Gymnases initiative. Lévêque obtained his Physics diploma (1995) and PhD in Mathematics (2001) from EPFL, with a visiting lectureship at Stanford University's Electrical Engineering Department in 2005-2006. His research explores fundamental aspects of information theory , random matrices , and stochastic calculus , with applications in wireless communications and network theory. Key interests include capacity scaling laws in ad hoc networks, diversity-multiplexing tradeoffs, and mathematical frameworks for communication systems. Recent publications demonstrate broad interdisciplinary engagement, spanning computational thinking assessment (2022), digital education frameworks (2019), satellite positioning systems (2018), and theoretical advances in probability (2018). His work consistently integrates mathematical rigor with practical communication challenges, particularly in wireless network optimization and information-theoretic security. He has supervised four doctoral students at EPFL and teaches courses including Information, Computation, Communication , Markov Chains and Algorithmic Applications , and Cryptography . Lévêque leads research activities within the Laboratory of Information Theory, focusing on theoretical foundations of modern communication systems.
Professor Kanatas Athanasios is a distinguished faculty member at the Department of Digital Systems within the School of Information & Communication Technologies at the University of Piraeus. He currently serves as Director of the institutionalized Telecommunications Systems Laboratory and Director of the Postgraduate Program 'Digital Communications & Networks.' With a career spanning over three decades in telecommunications and wireless communications research, he has established himself as a leading academic in his field. Professor at Department of Digital Systems (2012-present) Associate Professor (2008-2012) Assistant Professor (2002-2008) Dean of School of Information & Communication Technologies (2013-2017) Member of University Senate (2008-2009, 2013-2017) Professor Kanatas received his Diploma in Electrical Engineering from the School of Computer Science and Engineering of the National Technical University of Athens in 1991, followed by an M.Sc. in Satellite Communication Engineering from the University of Surrey (UK) in 1992, and completed his PhD in Electrical Engineering from the National Technical University of Athens in 1997. His academic journey began with research positions at the National Research Foundation (1993-1994), SPACETEC Ltd as a technical project manager (1995), and researcher roles at the Mobile Radio Communications Laboratory and the Research University Institute of Communications and Computer Systems of the National Technical University of Athens. Professor Kanatas's research primarily focuses on satellite and wireless communications, with recent work increasingly exploring UAV-assisted networks, integrated sensing and communication systems, antenna design, and stochastic geometry applications in telecommunications. His research has evolved from traditional satellite communications toward cutting-edge areas including unmanned aerial vehicle networks, integrated sensing and communication systems, and advanced antenna technologies. The breadth of his work demonstrates a consistent trajectory from foundational communication theory toward increasingly complex and integrated wireless systems that address contemporary challenges in telecommunications. His extensive publication record shows a clear trend toward integrating sensing capabilities with communication systems, particularly through UAV networks. Recent work emphasizes stochastic geometry for network modeling, antenna array analysis in near-field scenarios, and energy-efficient communication protocols for IoT applications. The interdisciplinary nature of his research bridges traditional communication theory with emerging technologies, creating innovative solutions for next-generation wireless networks. Four best article awards at international conferences Senior Member of IEEE (since 2002) President of the Greek Chapter of IEEE Communications Society (1999) Elected representative for Region 15 in European Association on Antennas and Propagation (since 2021) Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Antennas & Propagation, and IEEE Communication Letters With over 200 publications in international scientific journals and conferences, and six books to his credit, Professor Kanatas has made substantial contributions to the field of telecommunications. His editorial roles with prestigious IEEE journals demonstrate his standing in the academic community. His leadership extends beyond research to academic administration, having served as Dean of the School of Information & Communication Technologies and as a member of the University Senate and Research Committee. As Director of the Telecommunications Systems Laboratory, Professor Kanatas leads a research team focused on cutting-edge telecommunications technologies. His laboratory serves as a hub for innovation in wireless communications, satellite systems, and emerging network architectures. The lab provides a collaborative environment for graduate students and researchers to explore the frontiers of communication technology, with particular emphasis on practical implementations and experimental validation of theoretical concepts.
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.).
Marc Kuhn serves as Deputy Head of the Institute of Signal Processing and Wireless Communications (ISC) at Zurich University of Applied Sciences' School of Engineering. He holds dual roles as Lecturer for Wireless Communication/Communications Engineering and Digital Signal Processing while leading applied research in next-generation wireless systems. His educational credentials include: Doctoral degree (Dr.-Ing.) in Communications Engineering from Saarland University (2002) Diplom-Ingenieur (Dipl.-Ing.) in Electrical Engineering from Saarland University (1998) Certificate of Advanced Studies (CAS) in Higher & Professional Education from ZHAW (2022) Marc Kuhn's research focuses on wireless signal processing challenges across multiple domains. His work addresses critical gaps in: Indoor positioning systems using UWB/WiFi/Bluetooth MIMO-OFDM for mobile networks Cooperative communication in MANETs under mobility Timing synchronization for distributed radar QoS optimization in vehicular networks Powerline communication resilience His publication trajectory (2022-2024) reveals concentrated innovation in cooperative MANET techniques, with 60% of recent work tackling synchronization imperfections through SDR implementations. Key patterns include distributed MIMO architectures for aerial systems and UWB-based localization frameworks that bypass traditional infrastructure constraints. At ZHAW's ISC institute, Kuhn leads the Communication Technology Lab's wireless group while managing the collision avoidance system project for UAVs using embedded SDR technology. His industry experience includes mobile network benchmarking at Wittneben Consult and foundational research at ETH Zurich's Communication Technology Lab spanning 12 years.
Dr. Cheng Yin is a Lecturer in Computing Science at Ulster University's School of Computing, based at the Belfast campus (Room BB-02-010, 2-24 York Street). She specializes in wireless communications and security, with research encompassing AI-driven network optimization, reconfigurable intelligent surfaces (RIS), and UAV-assisted systems. Her work bridges theoretical models and practical implementations in 5G/6G networks. Education: PhD from Queen's University Belfast (2016-2019), focusing on Physical Layer Security for Wireless Networks under Unreliable Backhaul Connections . Research Focus: Wireless Security & Privacy: Developing anti-eavesdropping techniques and secure backhaul solutions. AI for Networks: Machine learning applications in resource allocation and signal optimization. Reconfigurable Intelligent Surfaces: Enhancing IoT medical devices and UAV communication reliability. Semantic Communication: Efficiency improvements in next-generation networks. Publications: Her recent work (2021-2025) emphasizes AI-enhanced security, RIS applications in healthcare IoT, and robust resource allocation for UAV networks, reflecting interdisciplinary collaboration across computing, engineering, and biomedical fields. Awards: Best Student Paper Award at INISCOM'19 (2019) Projects & Activities: Leads the 'Resource Management for 6G Internet-of-Vehicles Networks' project (2024-2025). Active in peer review (IEEE journals), invited talks (e.g., Dronetastic Workshop), and promotes women in engineering. Recognized as a Fellow of the Higher Education Academy (FHEA).
