جست‌وجوی استاد و پژوهشگر

Amine Mezghaniمشاهده پروفایل

استادیار

• Wireless Communication
• Digital Signal Processing
• Communication Systems
• +۱۲ مورد دیگر

Dr. Amine Mezghani is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on wireless communication systems, signal processing, and antenna engineering, particularly under hardware constraints like 1-bit quantization and phase-only DACs. Education: PhD (2015) in Electrical Engineering, Technical University of Munich; Dipl.-Ing. (Electrical Engineering), Technical University of Munich; Diplôme d'Ingénieur, École Centrale Paris His work explores sustainable wireless infrastructure, with emphasis on reconfigurable intelligent surfaces (RIS), millimeter-wave Massive MIMO, V2X communications, and physically consistent modeling combining Shannon and Maxwell theories. Publications include over 100 papers on hardware-constrained systems. Scientific contributions have earned him the 2021 IEEE Signal Processing Society Best Paper Award and the 2016 Rohde & Schwarz Outstanding Dissertation Award . He serves as an Associate Editor for IEEE Transactions on Wireless Communications . Current research includes electromagnetic consistency in multi-band MIMO, unlabeled compressed sensing, and VAMP-based algorithms. He advises graduate students in wireless communications and signal processing at the Intelligent Communication and Sensing Lab .

• Cognitive radio and spectrum shared access systems
• Communication systems in high-frequency bands (millimeter wave and THz)
• Distributed sensor networks
• +۱۶ مورد دیگر

Αλεξανδρόπουλος Γεώργιος is an Assistant Professor at the Department of Informatics and Telecommunications, School of Electrical and Computer Engineering, National and Kapodistrian University of Athens (NKUA). His academic career includes roles as Senior Research Engineer at Huawei Technologies France, Senior Researcher at Athens Information Technology R&D Center, and Adjunct Lecturer at the University of Peloponnese. He holds a PhD in Wireless Communications from the University of Patras (2010) and a Diploma in Computer Engineering and Informatics (2003). His research focuses on advanced wireless communication systems, including cognitive radio, millimeter-wave communication, MIMO systems, energy harvesting, and machine learning applications in telecommunications. He has contributed to projects involving smart antenna arrays, interference management, and channel modeling. His work bridges theoretical analysis and practical implementations in next-generation communication networks. Prior to academia, he served as a Research Assistant at institutions like the National Observatory of Athens and NCSR 'Demokritos', and consulted on patents at Pappas IP Law Office. His expertise spans both academic research and industry-driven innovation.

Akram Alomainyمشاهده پروفایل

استاد

• Antenna Engineering
• Applied Electromagnetics
• Biomedical and Healthcare
• +۱۴ مورد دیگر

Professor Akram Alomainy is a distinguished academic at Queen Mary University of London, where he serves as Professor of Antennas and Applied Electromagnetics, Deputy Dean for Postgraduate Research in the Faculty of Science and Engineering, and Head of the Centre for Electronics within the School of Electronic Engineering and Computer Science. His research spans multiple interdisciplinary domains, with a strong emphasis on applied electromagnetics, wearable technology, and biomedical applications. His research interests include Antenna Engineering, Applied Electromagnetics, Biomedical and Healthcare, Communication Engineering, Radio Propagation, Wearable Technology, Terahertz Sensing, and Body-Centric Wireless Communication . His work integrates engineering principles with healthcare innovations, particularly in areas such as remote patient monitoring, smart sensors, and non-invasive diagnostics. The recent publications highlight a strong trend toward miniaturized and implantable antennas for medical devices, terahertz-based biosensing for cancer detection, millimeter-wave radar for health monitoring , and the application of machine learning and deep learning in signal and image processing for healthcare. These works demonstrate a consistent focus on solving real-world medical and communication challenges through advanced electromagnetic systems. Scientific recognitions include the 2011 British Science Festival Isambard Kingdom Brunel Award and the QMUL Education Excellence Award 2019 . He is also an Associate Editor for IEEE AWPL and IEEE J-ERM, reflecting his leadership in the research community. Prof. Alomainy leads several significant research grants funded by EPSRC, Huawei, and Innovate UK, covering areas such as smart sensors for virtual wards, antenna measurement metrology, and wearable-free health monitoring. He is actively involved in advising and leading research teams, contributing to advancements in nano-scale communication, cognitive radio, and wireless body area networks. His leadership in projects like the Wearable Technology and Creativity Research initiative underscores his commitment to innovation. He is affiliated with multiple research centres including the Centre for Electronics, Centre for Bioengineering, Centre for Brain and Behaviour, and Centre for Networks, Communications and Systems , indicating a collaborative and multidisciplinary research environment. His lab work focuses on developing wearable and implantable devices, RF sensing systems, and terahertz imaging tools for future healthcare applications.

• Telecommunications
• Mobile Communications
• Wireless Communication Systems
• +۵ مورد دیگر

Luis Manuel De Jesus Sousa Correia is a Full Professor at the Department of Electrical and Computer Engineering, Higher Technical Institute (University of Lisbon). His research focuses on telecommunications and mobile communications, with a strong emphasis on body area networks (BANs), off-body channel modeling, and virtualized radio access networks (RAN). He teaches courses such as Communication in Engineering , Entrepreneurship, Innovation, and Technology Transfer , and Engineering Project Management . Correia's scientific activities involve extensive work on radio channel measurements, polarization characteristics in dynamic environments, and the design of efficient computational resource management strategies in cloud-RAN and C-RAN systems. He has contributed to projects analyzing maritime container terminal environments, indoor metallic corridors, and off-body communications in diverse scenarios. His publications span topics like wideband channel modeling, QoS-aware resource allocation, and the integration of nano-communications with body networks. While no specific awards are listed, his work reflects significant contributions to wireless communication systems and future network architectures. Correia’s research also explores energy efficiency in heterogeneous networks, fog computing offloading strategies, and the impact of user mobility on signal propagation. His work bridges theoretical models with practical implementations, aiming to advance personalized and high-performance communication technologies.

Mohammad Ghassemiمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Natural Language Processing
• +۷ مورد دیگر

Mohammad Ghassemi is an Assistant Professor in the Department of Computer Science and Engineering at Michigan State University's College of Engineering. His work focuses on developing AI systems that integrate human and machine intelligence to address complex challenges in healthcare, decision-making, and social behavior. He has affiliations with MIT's Institute for Medical Engineering and Science, Standard & Poor's Financial Services, and Ghamut Corporation, and serves on multiple startup advisory boards. Education: PhD from MIT (Electrical Engineering and Computer Science), M.Phil. from University of Cambridge (Information Engineering), B.Sc. from New Mexico State University (Electrical Engineering & Applied Mathematics). Research: Combines machine learning, natural language processing, and crowdsourcing to predict health outcomes, enhance medical decision support, and design wearable AI for social interaction. Awards: Multiple US patents, media features in BBC, NPR, Wall Street Journal, and publications in Nature Scientific Data, Science Translational Medicine, and AAAI. Key projects include the Connect platform for health data sharing, large-scale medical databases, and an AI-driven wearable for social coaching. His lab emphasizes end-to-end systems for real-world impact in healthcare and human behavior analysis.

Jonathan Chisumمشاهده پروفایل

دانشیار

• Millimeter-Wave Technology
• Antenna Design
• Wireless Communications
• +۷ مورد دیگر

Jonathan Chisum is an Associate Professor in the Department of Electrical Engineering at the University of Notre Dame's College of Engineering. His research focuses on developing advanced millimeter-wave (MMW) circuit and antenna systems for wireless communications and sensing, leveraging cutting-edge materials and technologies to achieve unprecedented performance and functionality. MMW artificial materials/metamaterials for GRIN lens antennas in satcom and 5G networks Phase-change materials for programmable antennas and circuits Nonlinear microwave/magnetic transceivers and sensors for low-power applications He has contributed to hybrid optimization workflows for lens design, 3D-printed GRIN lenses, and energy-efficient wireless solutions. His work has been recognized through awards such as the ONR Senior Research Fellow designation. ONR Senior Research Fellow

• Black Hole Physics
• Radio Astronomy
• Millimeter/Submillimeter Astronomy
• +۴ مورد دیگر

Ronald Hesper is a Researcher at the Kapteyn Astronomical Institute within the Faculty of Science and Engineering at the University of Groningen. He is actively involved in cutting-edge research in black hole astrophysics and astronomical instrumentation development. His work spans both theoretical and observational aspects of modern astronomy, with significant contributions to major international collaborations. Hesper's research interests focus on black hole physics, particularly through observations with the Event Horizon Telescope (EHT), which captured the first images of black holes. His work encompasses multi-wavelength studies of supermassive black holes in galaxies like M87 and Sagittarius A*, the center of our Milky Way. He has made substantial contributions to understanding black hole shadows, polarized emission, and jet formation mechanisms. His research portfolio reveals a dual focus: observational studies of black holes and development of advanced instrumentation for radio astronomy. The analysis of his recent publications shows a strong emphasis on Event Horizon Telescope results, with significant contributions to multiple papers in the landmark series that revealed the polarized structure of black hole shadows. Additionally, he has expertise in developing critical components for radio telescopes, including cryogenic amplifiers and superconducting mixers for millimeter and submillimeter observations. Hesper is an active member of several major international collaborations, most notably the Event Horizon Telescope Collaboration, which involves hundreds of scientists worldwide. His work appears in top astronomy journals including Astronomy & Astrophysics, Astrophysical Journal Letters, and IEEE Transactions on Terahertz Science and Technology, demonstrating both his theoretical and instrumental expertise. His research has contributed to the UN Sustainable Development Goals, particularly those related to science and technology advancement. The fingerprint of his research shows strong connections to Event Horizon physics (100%), Mixers (Machinery) engineering (64%), Black Holes physics (50%), and Sidebands engineering (41%), indicating his interdisciplinary approach bridging astronomy and engineering.

Nicolò Zagniمشاهده پروفایل

پژوهشگر

• Power Electronics
• Semiconductor Device Reliability
• Gallium Nitride (GaN) Technology
• +۴ مورد دیگر

Nicolò Zagni is a Postdoc Researcher at the University of Modena and Reggio Emilia (UNIMORE) , focusing on Gallium Nitride (GaN) and Ferroelectric device reliability. He earned a PhD in Information and Communication Technologies (ICT) in 2021 with a thesis on Simulation and Modeling of GaN Electronics . His research spans power electronics , dynamic on-resistance (RON) instabilities , phase-transition logic switches , and negative capacitance transistors . He has explored GaN device degradation under OFF-state stress , hole emission from carbon traps , and ferroelectric endurance . Key article trends include device simulation (TCAD) , trap dynamics in GaN , and novel materials for RF/millimeter-wave amplifiers . Collaborations include institutions like Purdue University and studies on SiC and MoS₂ applications.

Françoise Combesمشاهده پروفایل

استاد

• Galaxy Formation and Evolution
• Numerical Simulations
• Dark Matter Dynamics
• +۷ مورد دیگر

Françoise Combes is a Professor at the Collège de France since 2014, holding the Galaxies and Cosmology chair. She serves as President of the French Academy of Sciences (2025), following roles as President of the Space Research Committee and editor of Astronomy & Astrophysics since 2003. Her research spans galaxy formation, dark matter dynamics, and cosmological evolution. Education : PhD in Astrophysics (1980) at École normale supérieure Research Interests : Combes pioneers galaxy secular evolution through 3D N-body simulations, discovering bar-induced bulge formation via Lindblad resonances . She leads studies on high-redshift molecular gas , gravitational lensing effects, and dark matter as cold molecular hydrogen . Her work connects galaxy morphology to cosmological parameters and star formation laws. Publication Trends : Recent articles focus on ALMA nuclear ring observations , cosmological reionization simulations , and fractal interstellar medium models . Keywords reflect astrophysics, cosmology, and computational physics. Awards : - 2020 CNRS Gold Medal - 2021 L'Oréal-Unesco International Prize Advising Legacy : Supervised 19 PhD students over her career, including notable works on galactic shells , polar rings , and high-redshift galaxy surveys .

Mustapha CE Yagoubمشاهده پروفایل

استاد

• RF/Microwave CAD
• RFID Design
• Neural networks for high-frequency applications
• +۲ مورد دیگر

Mustapha CE Yagoub serves as a Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa, where he has maintained an active academic position since joining in 2001. His professional background spans both industry and academia across three continents, with significant contributions to microwave engineering and RF circuit design. His research interests focus on RF/Microwave CAD, RFID Design, Neural networks for high-frequency applications, Planar antennas, and Applied electromagnetism. This specialization is reflected in his extensive publication record of over 300 journal and conference papers, along with two books including 'Conception de circuits linéaires et non linéaires micro-ondes' (2000) and 'Computer Manipulation and Stock Price Trend Analysis' (2005). His recent work demonstrates strong continuity in microwave circuit analysis, RFID applications, and neural network implementations for high-frequency systems, with particular emphasis on practical engineering solutions for wireless communications and sensor networks. As an educator, Professor Yagoub teaches undergraduate courses including Circuit Theory I (ELG 2538) and Electronics for Mechanical Engineers (ELG 3736), along with graduate-level Nonlinear Microwave Devices (ELG 6369). He actively supervises fourth-year undergraduate projects and graduate research in his specialty areas. Professor Yagoub maintains active professional standing as a Senior Member of the IEEE Microwave Theory and Techniques Society, a member of the Professional Engineers of Ontario (Canada), and a member of the Ordre des ingénieurs du Québec (Canada). His international academic journey began with engineering education at École nationale polytechnique in Algiers, continued with doctoral studies in Toulouse, France, and included academic positions at Houari Boumediene University of Science and Technology in Algiers before his current appointment at uOttawa.

• Neuromorphic Engineering
• Compute-in-Memory Architectures
• Dynamic Vision Sensors
• +۴ مورد دیگر

Rajkumar Kubendran is an Assistant Professor at the University of Pittsburgh's Department of Electrical and Computer Engineering within the Swanson School of Engineering. His research focuses on neuromorphic engineering, low-power analog circuits, and biomedical hardware design. He holds a PhD from the University of California San Diego (2014–2020), an MS from Purdue University (2009–2012), and a B.Tech from the National Institute of Technology (2004–2008). His work includes prototypes like dynamic vision sensors (DVS) and in-memory compute architectures, with applications in event-driven computer vision and medical devices. Research interests span brain-machine interfaces, compute-in-memory systems, and neuromorphic computing for robotics and biomedical applications. Notable projects include retina-inspired cameras, custom AI hardware, and programmable stimulators for neural interfaces. His team emphasizes energy-efficient architectures and bio-inspired designs, with recent publications in areas like event-based sensorimotor control and neuromorphic benchmarking frameworks. Professional experience includes internships at Intel, IMEC Belgium, MaxLinear, and Qualcomm. He is an IEEE Senior Member. Though no awards are explicitly listed, his contributions to neuromorphic systems reflect significant technical impact. Current work integrates hardware-software co-design for scalable neuromorphic systems and biomedical device startups.

Hai Linمشاهده پروفایل

استاد

• Computer Graphics
• Scientific Visualization
• Volume Rendering
• +۲ مورد دیگر

Hai Lin is a Professor at the State Key Lab of CAD&CG (Zhejiang University, China). His research spans computer graphics, scientific visualization, volume rendering, virtual reality, and graphical electromagnetic computing. He earned B.Eng and M.Eng degrees from Xidian University (1987, 1990) and a Ph.D. in Computer Science from Zhejiang University. Current Position: Professor, Zhejiang University (1990–Present) Research Fellow, Medical Visualization, De Montfort University (2000–2003) Visiting Professor, University of Bedfordshire Research Focus includes: Medical Imaging: AI-driven tumor segmentation (colorectal, liver), retinal disease classification (SatFormer), and mandible segmentation via LRVRG. Electromagnetic Computing: Shape deformation optimization, GPU-based wave propagation prediction, and scattering analysis. Scientific Visualization: Graph convolutional networks for volume data, voxel2vec representations, and dynamic network exploration. Collaborations involve PhD students (Huan Liu, Yiming Li, YanKai Jiang, Han Wang) and teams at Zhejiang University. His work integrates AI with electromagnetic and medical imaging domains, emphasizing GPU acceleration and novel algorithm design.

Mark Rodwellمشاهده پروفایل

استاد

• High-Frequency Electronics
• Semiconductor Devices
• Integrated Circuits
• +۷ مورد دیگر

Mark Rodwell is a Professor in the Electrical and Computer Engineering Department at the University of California, Santa Barbara (UCSB). He holds the Doluca Family Endowed Chair and has directed major research centers, including the SRC/DARPA Center for Converged Terahertz Communications and Sensing (2018-2023) and the UCSB Nanofabrication Lab (1996-2018). His work focuses on extending electronics to ultrahigh frequencies (60-600 GHz), involving semiconductor devices, IC design, and terahertz systems. Dr. Rodwell earned a B.S.E.E. in IC design (1980, University of Tennessee), an M.S.E.E. in signal processing (1982, Stanford University), and a Ph.D.E.E. in semiconductor devices (1988, Stanford University). He worked at AT&T Bell Labs (1981-1984) before joining UCSB. His research interests include High-frequency IC design in Silicon and III-V technologies THz InP bipolar transistors and MOSFETs Mm-wave wireless communication systems Nonlinear transmission lines for picosecond instrumentation Optoelectronic integration for THz applications His publications emphasize advancements in Transferred-substrate HBTs for >400 GHz operation Mm-wave network analyzers and amplifiers Resonant tunnel diode oscillators Electro-optic sampling techniques Scientific accolades include IEEE Fellow (2003) SIA/SRC University Research Award (2022) IEEE Sarnoff Award (2010) IEEE Microwave Prize (1997, 1998 European Microwave Conference) IEEE Marconi Prize Paper Award (2012) NSF Presidential Young Investigator (1989) and eight UCSB Teaching Awards (1994, 1997, 1998, 2014, 2019-2023). He contributes to IEEE Microwave Theory and Technology Society Nanofabrication facility management Short courses on THz wireless systems Collaborative projects with Prof. Umran Inan and others

Raffaele Bollaمشاهده پروفایل

استاد

• Cyber Security
• Machine Learning
• 5G/6G Networks
• +۵ مورد دیگر

Raffaele Bolla is a Full Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) within the University of Genova, School of Engineering. He specializes in telecommunications, with research focusing on energy efficiency, 5G/6G networks, network virtualization, and green technologies. He coordinates the Master's Degree program in Telecommunications Engineering and teaches courses including Cyber Security , Internet and Multimedia Engineering , and Wireless Networks (5G) and Cloud/Edge Computing . Research Interests: Energy-efficient network design 5G/6G network virtualization Machine learning for network optimization Sustainable telecommunications Human-machine interaction in industrial networks Smart grid technologies His recent publications address container scaling, network observability, and power consumption in next-generation networks. He leads projects like RESTART and contributes to standards in energy-efficient networking.

• Signal Processing
• Radar Systems
• MIMO Technology
• +۵ مورد دیگر

Michael Zoltowski is the Thomas J. and Wendy Engibous Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. He specializes in radar systems, signal processing, and wireless communication technologies. His research focuses on MIMO radar waveform design, OFDM transmission optimization, and adaptive beamforming techniques. He holds positions in committees such as the Engineering Named Professorships Committee and Faculty Awards Committee. His research interests include radar signal design, waveform diversity, and advanced OFDM systems. He has contributed extensively to topics like Doppler-tolerant radar ambiguity functions, bistatic radar detection, and millimeter-wave beamforming. His work integrates machine learning into radar systems and explores applications in UAV environments. Notable contributions include developing complementary sequence techniques for OFDM transmission, low-complexity detection algorithms in massive MIMO systems, and adaptive beamforming codebook designs. His publications span over two decades, with recent work focusing on high-resolution radar imaging and interference mitigation strategies. Zoltowski has advised numerous projects in radar technology and wireless communications but no specific student names are listed in the provided texts. His work is supported by institutional and external grants, though specific funding details are not disclosed here.