جست‌وجوی استاد و پژوهشگر

Sebastian Wilczekمشاهده پروفایل

پژوهشگر

• Plasma Technology
• Plasma Simulation
• Gas Conversion
• +۳ مورد دیگر

Sebastian Wilczek is a researcher at Technische Hochschule Georg Agricola (THGA) in Bochum and works part-time at enaDyne GmbH in Leipzig. He completed his PhD in plasma technology at Ruhr University Bochum and serves as a visiting researcher there, teaching Numerical Methods in Electrodynamics . His academic work spans research and teaching in plasma modeling, CO₂ conversion, and simulation techniques. Research Focus: Wilczek’s research centers on plasma technology , particularly radio-frequency (RF) plasma systems , with emphasis on non-thermal plasma catalysis for greenhouse gas conversion . His work includes detailed studies of electron dynamics in low-pressure capacitively coupled plasmas (CCPs), sheath behavior , and ionization mechanisms using advanced simulation tools like PIC/MCC and nonPDPSIM . Publications & Conferences: Wilczek has contributed to multiple peer-reviewed conference papers and simulations on topics such as CO₂ dissociation , electron temperature dynamics , and waveform tailoring for plasma optimization. His recent work compares microwave plasma torches with other sources for carbon recycling and investigates non-neutral discharge regimes at atmospheric pressure. Simulation Tools: He co-developed eduPIC , an educational PIC/MCC code for plasma simulation , available in multiple programming languages including Rust and C/C++. This tool is designed to help students and researchers understand and extend particle-in-cell methods for their own applications.

Liang Huangمشاهده پروفایل

پژوهشگر

• Power Electronics
• Wind Power Generation
• Grid-Forming Control
• +۳ مورد دیگر

Liang Huang is a Postdoctoral Researcher at Aalborg University's Applied Power Electronic Systems department under the Faculty of Engineering and Science. His work focuses on grid-connected power electronic systems for renewable energy applications. Education: PhD in Electrical Engineering, Aalborg University: Specialized in stability and control of wind generation systems connected to weak grids Research Focus spans power electronics, wind energy, and grid stability. Key areas include: Stability analysis of grid-following and grid-forming inverters Impedance modeling for wind generation systems Control strategies for weak grid applications Non-asymptotic state estimation in DC motor systems Transient overcurrent protection in renewable energy systems Recent Research Trends show emphasis on grid-forming STATCOMs, virtual admittance modeling, reference frame transformations, and hybrid inverter control architectures. His work addresses challenges in offshore energy hubs and weak grid integration. Professional Affiliations: Chairperson, IEEE (2024–) IEEE Member (2021–2023) Projects: Leading PhD project on weak grid stability (2020–2023) Contributing to EUDP-funded Offshore Energy Hubs (2022–2026)

Selçuk Köseمشاهده پروفایل

استاد

• Hardware Security
• On-Chip Power Delivery
• Cryogenic Electronics
• +۳ مورد دیگر

Selçuk Köse is a Full Professor in the Department of Electrical and Computer Engineering at the University of Rochester. Previously, he held positions at the University of South Florida as an Assistant Professor (2012-2018) and Associate Professor (2018-2019). He earned his B.Sc. from Bilkent University (2006), M.S. and Ph.D. from the University of Rochester (2008 and 2012, respectively). His research focuses on hardware security (side-channel attacks, fault injection, PUFs), on-chip power delivery, cryogenic electronics, graphene nanoribbon transistors, and nature-inspired computing (e.g., Ising machines). He has received prestigious awards including the NSF CAREER Award (2014) and Cisco Research Awards (2015–2017). His recent work emphasizes security in quantum computing interfaces, power delivery networks, and covert channel mitigation. Research funding comes from NSF, DARPA, DoE, and industry partners. He serves as an associate editor for IEEE and Springer journals.

• 5G and Beyond Radio Access Networks
• Mobility Management
• Over-the-Air Computation
• +۳ مورد دیگر

Dr. Semiha Tedik Basaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), where she has held this position since 2020. Previously, she was a Researcher at Ericsson (2019–2020), focusing on 5G/6G radio networks, and a Research Assistant at ITU (2012–2019). She also held visiting researcher roles at RWTH Aachen University (2017) and Alexander Technological Educational Institute of Thessaloniki (2018). Her research focuses on 5G/6G radio access networks , including mobility management , over-the-air computation , random network coding , and non-terrestrial networks . She has contributed to projects on 5G private networks, denial-of-service attacks, and secure communication protocols. Her work emphasizes practical implementations, including software-defined radio prototyping and hardware design. Education: B.Sc. in Electronics and Communication Engineering (Ranked 2nd, ITU, 2011) M.Sc. and Ph.D. in related fields (not explicitly stated, inferred from roles and awards) Dr. Basaran has received prestigious awards, including the IEEE Turkey Best PhD Dissertation Award (2019), Istanbul Technical University Best PhD Dissertation Award , and TUBITAK scholarships. She holds multiple patents on secure communication systems, network coding, and failure prediction algorithms. Her recent work explores terahertz networks , satellite-aided relaying , and AI-driven edge computing . She teaches Communications I and Mobile Communication Systems at the undergraduate and graduate levels, respectively.

Saikat Guhaمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Optics
• Photonics
• +۷ مورد دیگر

Prof. Saikat Guha holds the Clark Distinguished Chair Professorship in the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He leads the Photonic Quantum Systems (PhoQuS) group, focusing on quantum information theory applications to quantum optics, quantum-limited photonic systems, and cross-disciplinary innovations in information theory, error correction, and network theory. His research spans quantum-enhanced classical communications, quantum network architectures, photonic sensing with non-classical light, and quantum-limited imaging. Notable projects include NSF-funded initiatives for quantum interconnects in ion trap quantum computers and quantum networking protocols. He is recognized as an IEEE Fellow for contributions to quantum communication. Teaching includes a new undergraduate/graduate course Information in a Photon (ENEE 439G/739G), introducing quantum light principles for information processing. His group collaborates on experimental proof-of-concept systems, including entanglement-enhanced LiDAR, fiber-optic gyroscopes, and quantum-optimal coronagraphs for exoplanet detection. Research Labs: Photonic Quantum Systems (PhoQuS) Lab Grants: $5M NSF Convergence Accelerator Award (Quantum Interconnects) $1M NSF Project (Quantum Network for Trapped-Ion Computers) Awards: IEEE Fellow (2023) Key advising contributions include PhD student Itay Ozer (optomechanics) and postdoc Yu Shi (quantum entanglement studies). His work bridges foundational theory with practical implementations, aiming to achieve quantum-limited performance in real-world systems.

Raffaella Demichelisمشاهده پروفایل

دانشیار

• Physical Chemistry
• Computational Chemistry
• Geochemistry
• +۶ مورد دیگر

Raffaella Demichelis is an Associate Professor at Curtin University, School of Molecular and Life Sciences (MLS). She is affiliated with the Faculty of Science and Engineering and holds the position of Associate Professor in the Office of the Provost. Her research focuses on mineral formation processes, computational chemistry, and geochemistry with particular emphasis on nucleation, crystal growth, and biomineralization. She has received prestigious awards such as the F.G. Houtermans Award (2022) and the Western Australia Young Tall Poppy Award (2020). Dr. Demichelis earned her PhD in Chemical Sciences from the University of Torino (Italy) and has held several fellowships, including an ARC Future Fellowship and an Early Career Curtin Research Fellowship. She has secured funding through multiple grants, including ARC Discovery Projects and international collaborations like the ATN-DAAD program. Her research explores mineral-fluid interfaces, vibrational spectroscopy, and the development of ab initio tools for simulating carbon nanotubes and mineral structures. She has published extensively in journals like Advanced Materials , Journal of Physical Chemistry , and Crystal Growth & Design . Dr. Demichelis has supervised multiple PhD students and postdoctoral researchers, contributing to advancements in computational modeling of biomineral growth and geochemical processes. She actively engages in academic leadership, organizing conferences like Goldschmidt, and promoting STEM through initiatives like the WA Women in Chemistry network and outreach programs targeting school students.

• Integrated Sensing and Communication (ISAC)
• Vehicular Networks
• Cognitive Radio Networks
• +۵ مورد دیگر

Wei Liang is a researcher affiliated with Northwestern Polytechnical University , Lancaster University , and University of Southampton . His work spans wireless communication systems, with a focus on integrated sensing and communication (ISAC) , NOMA (Non-Orthogonal Multiple Access) , and UAV-assisted mobile networks . Research Interests : Designing intelligent resource allocation algorithms, secure transmission mechanisms, and cooperative communication frameworks for next-generation networks. Collaborative Focus : Frequent collaborations with Zhu Han , Soon Xin Ng , and Ang Gao on 5G/6G-enabled systems. Recent publications (2024-2025) emphasize predictive beamforming in ISAC systems, multi-UAV optimization , and deep reinforcement learning for spectrum sharing. Trends include OTFS modulation for Doppler mitigation, heterogeneous multi-agent learning , and optimal transport theory for UAV networks.

Deniz Gunduzمشاهده پروفایل

استاد

• Wireless Communications
• Information Theory
• Machine Learning
• +۳ مورد دیگر

Deniz Gündüz is a Professor of Information Processing at Imperial College London's Electrical and Electronic Engineering Department, leading the Information Processing and Communications Lab. He also serves as Deputy Head of the Intelligent Systems and Networks Group and holds a part-time faculty position at the University of Modena and Reggio Emilia. His research focuses on wireless communications, information theory, machine learning, and privacy, with significant contributions to semantic communication systems and AI-native networks. He has held visiting roles at Princeton University and the University of Padova. Dr. Gündüz is an Area Editor for IEEE Transactions on Communications and IEEE JSAC, and a former Distinguished Lecturer of the IEEE Information Theory Society. His awards include the IEEE Communication Society Early Achievement Award (2017), ERC Starting Grant (2015), and multiple best paper recognitions. He has organized major conferences and workshops, including the first MLCOM workshops on machine learning for communications. Education: B.S. (2002) from METU, Turkey; M.S. and Ph.D. (2004, 2007) from NYU Polytechnic School of Engineering. Prior roles include Research Associate at CTTC Barcelona, Consulting Assistant Professor at Stanford, and postdoctoral positions at Princeton. His work spans theoretical foundations and practical implementations, emphasizing interdisciplinary solutions for next-generation networks. Research Interests: Semantic communications, distributed learning, 6G systems, privacy-preserving techniques, and AI integration in communication networks. His recent work explores neural compression for cloud RAN, over-the-air computation, and federated learning optimizations. Awards and Roles: IEEE JSAC Series Editor (Machine Learning in Networks), IEEE Transactions on Wireless Communications Editor, and organizer of major conferences. His team's achievements include breakthroughs in joint source-channel coding and adversarial jamming defenses.

Sheng Chenمشاهده پروفایل

استاد

• Wireless Communication Systems
• Machine Learning for Signal Processing
• Underwater Robotics
• +۳ مورد دیگر

Professor Sheng Chen at the University of Southampton holds a prestigious academic rank in the Electronics and Computer Science department. His research interests span wireless communication systems, machine learning for signal processing, underwater robotics, and digital twin technology. IEEE Fellow Royal Academy of Engineering Fellow Chartered Engineer Research Focus: Professor Chen specializes in advanced wireless communication systems including MIMO technologies, channel estimation techniques, and next-generation 6G protocols. His work extends to industrial cybersecurity applications and underwater stereo matching algorithms. Recent Contributions: His latest publications demonstrate expertise in memristor-based signal processing circuits, label distribution learning using renormalization group theory, and innovative interference mitigation strategies in dynamic TDD systems. Current research projects: Optimising control system integrity (Royal Academy of Engineering), NEWCOM (European Union)

• Next-generation wireless transmissions
• Quantum communications and detection
• Channel coding and modulation
• +۷ مورد دیگر

Professor Michael Ng is an academic at the University of Southampton's School of Electronics and Computer Science. He holds a professorship in Next Generation Communications and actively supervises PhD students in fields related to wireless technologies and quantum communications. Education: B.Eng. in Electronic Engineering (First Class), University of Southampton (1999) Ph.D. in Telecommunications, University of Southampton (2002) Research Interests: His work spans next-generation wireless transmissions, quantum communications, channel coding, MIMO systems, cooperative communications, and machine learning applications in communications. He leads cutting-edge research in quantum error correction and hybrid wireless-optical systems. Scientific Contributions: Principal Investigator for EPSRC-funded Cooperative Classical and Quantum Communications Systems Co-Investigator in multiple European projects (SCOUT, NEWCOM, PHOENIX, OPTIMIX, CONCERTO) Co-authored over 260 papers and two IEEE Press books Awards: Dean’s Award for outstanding contributions in scientific publications (2013) Leadership Roles: He has served as EEE Programme Leader (2018-2021) and currently directs the ECS Doctoral Programme. He also chairs the IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee.

Alessandro D'Ursoمشاهده پروفایل

دانشیار

• Inorganic Chemistry
• Bioinorganic Chemistry
• Supramolecular Chemistry
• +۳ مورد دیگر

Alessandro D'Urso is an Associate Professor in Inorganic Chemistry at the Department of Chemical Sciences, University of Catania. His research focuses on the interactions of water-soluble porphyrinoids with biomolecules, particularly DNA/RNA conformations and proteasome activity modulation. Key applications include photodynamic therapy, chiroptical sensing, and supramolecular material design. PhD in Chemistry (2010) from University of Catania Postdoctoral experience at Columbia University (2012) and Barcelona University (2011) Guest editor for special issues on supramolecular systems and porphyrin-biomolecule interactions His work on supramolecular chirality and non-covalent synthesis has led to high-impact publications and grants like PRIN 2017 (€800,000) and FIRB 2012. He explores proteasome inhibition , G-quadruplex stabilization , and chiral nanomaterials . Recent publications (2023-2025) highlight advancements in proteasome allosteric activation , chiroptical DNA probes , and hybrid porphyrin-melanin films . His 60+ papers and H-index of 20 reflect significant citations. Scientific Leadership : Board member of Interdivisional Group of Biotechnologies (2023-2026) Former Vice-coordinator of Italian Chemical Society's Young Group (2013-2016) Reviewer for 20+ journals including Nature Communications and ACS Publications

• Wireless Communications
• Optical Wireless Communications
• Free Space Optics
• +۴ مورد دیگر

Горан Т. Ђорђевић је редовни професор на Електронском факултету Универзитета у Нишу од 2016. године, са академском каријером која почиње докторатом из телекомуникација 2005. године. Припада Катедри за телекомуникације, где води истраживачке активности у оквиру истраживачке групе за оптичке безжичне комуникације. Његова образовна позадина укључује: Докторат из телекомуникација (2005, Електронски факултет Ниш) Магистратуру из телекомуникација (1999, Електронски факултет Ниш) Диплому из електронике и телекомуникација (1996, Електронски факултет Ниш) Његова истраживања су фокусирана на безжичне комуникације , оптичке безжичне системе (FSO) и хибридне RF/FSO мреже . Посебну пажњу посвећује анализи перформанси у условима атмосферске турбуленције, кооперативном релајингу и адаптивним техникама модулације. Његов рад решава критичне изазове у поузданости комуникација у екстремним каналским условима, са применом у 5G/6G технологијама и сателитским комуникацијама. Анализа његових најновијих публикација (2015-2023) показује конзистентан фокус на FSO системе и хибридне архитектуре, са значајним доприносом у области вероватноће ишчезавања (outage probability) и грешака у фединг каналима. Објавио је преко 50 радова у IEEE часописима са високим Impact фактором, укључујући IEEE Transactions on Wireless Communications и IEEE Journal on Selected Areas in Communications. Његове научне награде укључују: Награду на 49. конференцији ЕТРАН (2005) за најбољи рад младих истраживача Награду на 51. конференцији ЕТРАН (2007) за најбољи рад младих истраживача Награду Теленор фондације 'Проф. др Илија Стојановић' за допринос у телекомуникацијама (2007) Награду Теленор фондације за најбољи стручни рад у међународним часописима (2015) Као ментор, водио је шест докторских дисертација и преко 50 дипломских радова. Тренутно је укључен у један национални и два интернационална пројекта, укључујући FP7 FET OPEN пројекат i-RISC и COST акције OPTICWISE, EUIMWP и NEWFOCUS. Води пројекат иновирања наставе финансиран од Министарства и ERASMUS+ пројекат ICT_EDUPAND. Као рецензент и гостујући уредник, значајно доприноси научној заједници кроз сарадњу са IEEE часописима и Applied Sciences. Води истраживачки тим на Електронском факултету у оквиру пројеката i-RISC и NORBAS, са посебним фокусом на развој FSO система и кооперативних мрежа. Његова лабораторијска истраживања укључују експерименталну верификацију теоријских модела под реалним условима атмосферске турбуленције.

• Optical wireless communications
• Free-space optics (FSO)
• Intelligent reflecting surfaces (IRS)
• +۴ مورد دیگر

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.

• 6G communications
• Information theory
• MIMO systems
• +۸ مورد دیگر

Giorgio Taricco is a Full Professor at the Department of Electronics and Telecommunications (DET) of Polytechnic University of Turin. His research focuses on 6G communications, information theory, and MIMO systems, with expertise spanning telecommunications, signal processing, and wireless communication. He leads the Advanced techniques for digital transmission (CommGroup) research group and has been a Scientific Responsible for multiple projects, including EU-funded MASCOT and HICCUP, and commercial contracts like JEANS and NEXT GEN DATALINK. Research Interests: 6G networks, MIMO systems, information theory, satellite communication, energy-efficient coding Notable Projects: MASCOT (2006-2009), HICCUP (2002-2003), JEANS (2022-2024), WORK ITEM 4.4 (2024-2025) His recent publications analyze secrecy energy efficiency in metasurface-aided networks, IRS-NOMA for integrated sensing, and advanced precoding techniques, reflecting trends in wireless security and next-generation communication systems. As an IEEE Fellow since 2010, he contributes to editorial boards, including Entropy (2025-). He supervises PhD students like Agbotiname Lucky Imoize and Aysegul Ilay Tunali, integrating education with cutting-edge research in telecommunications.

Marc Adratمشاهده پروفایل

استاد

• Channel Coding
• Modulation Techniques
• Iterative Source-Channel Decoding
• +۷ مورد دیگر

Marc Adrat is an Honorary Professor at RWTH Aachen University and Head of the Software Defined Radio research group at Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE). His dual role combines academic teaching with cutting-edge industrial research in communications engineering. Education: Diplom-Ingenieur in Electrical Engineering (1997), RWTH Aachen University Dr.-Ing. (PhD) in 2003 from Institute of Communication Systems and Data Processing (IND), RWTH Aachen Research Focus: Prof. Adrat specializes in channel coding , modulation techniques , and iterative decoding with particular emphasis on polar codes , BICM-ID systems , and EXIT chart analysis . His work bridges theoretical foundations with practical implementations in software-defined radio systems. His recent research directions include applying machine learning techniques (particularly genetic algorithms) to optimize communication systems, developing autoencoder-based signal enhancement methods, and advancing spectrum monitoring technologies for cognitive radio applications. Awards & Recognition: Best Paper Award at ICMCIS 2022 for work on spectrum monitoring techniques Appointed Honorary Professor by RWTH Aachen University in June 2024 Teaching & Supervision: Since 2009, he has taught courses on Modern Channel Coding for Wireless Communications and Advanced Coding and Modulation at RWTH Aachen. His teaching covers both theoretical foundations and practical implementations of modern communication systems. Laboratories & Teams: At Fraunhofer FKIE, he leads the Software Defined Radio research group, focusing on developing flexible, reconfigurable radio systems for military and civilian applications. The group works extensively on real-time implementations of advanced coding and modulation schemes.