جست‌وجوی استاد و پژوهشگر

Christos Papachristouمشاهده پروفایل

استاد

• Embedded Systems Design
• Parallel Computer Architectures
• Quantum Computing
• +۴ مورد دیگر

Christos Papachristou, PhD is a Professor in the Department of Electrical, Computer, and Systems Engineering at the Case School of Engineering , Case Western Reserve University. His academic career spans over four decades since earning his PhD in Electrical Engineering & Computer Science from Johns Hopkins University in 1975. Prof. Papachristou's research focuses on Embedded Systems Design , Quantum Computing Architectures , Reconfigurable Systems/FPGAs , and Hardware Security . His work addresses critical challenges in fault-tolerant systems , secure system design , and high-level synthesis . Notable contributions include innovations in radiation-hardened SRAM designs , hardware trojan detection , and quantum computing infrastructure . Key Achievements: Recipient of the Albert Nelson Marquis Lifetime Achievement Award (2019) IEEE Best Paper Award for Cognitive Communications for Aerospace Applications (2019) Invited NATO Summer School Lecturer (2008) in Spain/UK and Cleveland His publications reflect expertise in circuit reliability , embedded system security , and quantum computing . Recent work emphasizes electromigration mitigation and reconfigurable architecture kernels . Prof. Papachristou collaborates extensively on projects funded by NSF, DoD, and industry partners. Teaching specialties include Parallel Computer Architectures , Configurable Devices , and Quantum Computing , reflecting his dual focus on theoretical innovation and practical implementation in advanced technologies.

Hoa Le Minhمشاهده پروفایل

استاد

• Optical Communications
• Visible Light Communications
• Photonics
• +۶ مورد دیگر

Hoa Le Minh is a Professor in Optical Communications and Deputy Head of the Department of Mathematics, Physics, and Electrical Engineering at Northumbria University's School of Engineering Physics and Mathematics. He leads active research in optical wireless systems and currently accepts PhD students, with prior roles at University of Oxford, Siemens AG, and Ho Chi Minh University of Technology. His academic credentials include: PhD in Communication Studies (awarded 2004) PGCert (awarded 2013) Professor Le Minh specializes in photonics, visible light communications (VLC), and intelligent networks, with expertise spanning signal processing, smartphone technology, and optical wireless security. His work bridges theoretical innovation in modulation techniques with practical applications like healthcare monitoring and LiFi deployment. Current research emphasizes security integration in VLC systems (including quantum-inspired methods), energy-efficient antenna design, and standard-compliant commercial solutions. Recent outputs show strong focus on physical layer security, positioning accuracy, and cross-disciplinary health applications. He actively secures major grants from EPSRC, Innovate UK, EU programs, and industry partners, currently leading the £1.2M 'Northumbria University-Integrated System Technologies' project (2021-2024) developing deployable communication systems. Professor Le Minh supervises postgraduate researchers with 8 completed supervisee projects to date. He serves on EPSRC ICT grant panels, acts as associate editor for peer-reviewed journals, and previously chaired the IEEE Communications Society UK/Ireland Chapter.

Bo Tangمشاهده پروفایل

دانشیار

• Bio-Inspired Artificial Intelligence
• AI Security
• Edge AI
• +۵ مورد دیگر

Dr. Bo Tang is an Associate Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), with collaborative appointments in Computer Science and Data Science. His research focuses on bio-inspired AI, AI security, edge AI, and applications in Cyber-Physical Systems such as wireless networks, autonomous vehicles, and power systems. He holds a Ph.D. from the University of Rhode Island (2016) and previously served as an Assistant Professor at Mississippi State University (MSU). Education: Ph.D., University of Rhode Island, 2012–2016 M.S., Chinese Academy of Sciences, 2007–2010 B.E., Central South University, 2003–2007 Research interests include bio-inspired neural networks, AI security frameworks, edge computing for IoT, and autonomous systems. He leads the Computational Intelligence and Learning Systems (CILS) Lab, developing AI solutions for real-world challenges like secure federated learning, underwater robotics, and smart grid resilience. Notable awards include the NSF CAREER Award (2021), NIJ Early Career Award (2019), and MSU's Emerging Research Scholar Award (2022). He is a Senior IEEE Member and Associate Editor for IEEE Transactions on Neural Networks and Learning Systems . Grants and Projects: NSF CISE CCRI Grant ($1.8M, Co-PI, 2021) NTIA Grant ($1.9M, 2023) ONR Grant ($249K, Co-PI, 2019) Lab & Teams: The CILS Lab collaborates on projects like Open AI Cellular (OAIC), secure O-RAN networks, and autonomous vehicle navigation. Recent student projects include federated learning algorithms and underwater robot localization.

• Hardware Security
• Internet of Things
• Embedded Systems
• +۵ مورد دیگر

Thibaut Vandervelden is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering, Department of Electronics and Informatics. His work focuses on hardware security, embedded systems, and cryptographic implementations for resource-constrained environments. With an h-index of 4, he has produced significant research output since 2019, primarily in Sensors, IEEE Access, and Future Generation Computer Systems. His research interests center on practical security implementations for IoT devices and embedded systems, with particular expertise in Rust programming for secure embedded development, cryptographic protocol optimization, and network security for low-power wireless networks. His work bridges theoretical security concepts with practical implementation challenges in constrained environments. Analysis of his recent publications reveals a strong trend toward secure embedded systems development, with increasing focus on Rust programming language applications, zero-knowledge proofs for privacy-preserving systems, and optimization of cryptographic operations for IoT devices. His research demonstrates consistent collaboration with colleagues including Ruben De Smet, An Braeken, and Kris Steenhaut. Scientific recognition includes: IACR RWC'21 Cryptohackathon on Functional Encryption: 2nd prize (2021) Vandervelden actively participates in research community building through organizing workshops like RustIEC and presenting at events focused on embedded systems security. His work has been referenced in Wikipedia pages and garnered attention across academic and professional platforms, with media contributions on cybersecurity research in Flanders. He leads and participates in research teams focused on wireless community development and the Internet of Batteryless Things, contributing to both theoretical frameworks and practical implementations in hardware security.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Sensor Technology
• +۵ مورد دیگر

Frederic Bezombes is a Reader (associate professor) in Robotics at the School of Engineering, Liverpool John Moores University. Previously, he held roles as Lecturer in Mechatronics and Research Assistant at the university's General Engineering Research Institute (GERI). His work spans robotics, UAV applications, sensor technology, 3D reconstruction, and optical communication systems. PhD in Fiber Bragg Grating Temperature Sensors (GERI, 2004) B.Eng. Mechanical Engineering (University of Central Lancashire, 1999) D.U.T. Mechanical and Robotic Engineering (Institut Universitaire de Montpellier II, 1996) His research integrates drones with multispectral sensors for environmental monitoring, develops optical communication for underwater robotics, and explores precision measurement techniques. Recent publications highlight UAV applications in coastal morphology, virtual reality for sports analysis, and interferometer-based distance measurement. Frederic has contributed to projects like DigiArt (European Commission grant) and multiple short-term contracts with the Metropolitan Police (2023-2024), focusing on UAV deployment for security and forensic applications.

Marius MARCUمشاهده پروفایل

دانشیار

• Mobile systems and applications
• Dynamic power management
• Dynamic thermal management
• +۴ مورد دیگر

Marius MARCU is an Associate Professor at the Computer and Software Engineering Department , Faculty of Automation and Computers , Politehnica University of Timisoara , Romania. His career spans over two decades, combining academic rigor with industry collaboration, particularly in mobile systems and energy-efficient computing. PhD in Computer Science (2005) Master's in Advanced Computer Engineering (1996) BSc in Computer Systems Engineering (1995) His research focuses on Mobile Systems and Applications , Dynamic Power and Thermal Management , and Power-Aware Applications , with over 60 publications and leadership in 11 R&D projects. His work bridges theoretical advancements with practical implementations in wireless sensor networks and embedded systems. Recent publications emphasize energy characterization , thermal profiling , and wireless positioning accuracy across 2010–2011. He actively contributes to academic governance as Studies Program Manager for the Master of Information Technology and peer reviewer for IEEE and ACM. Merit Diplomas 2021 Project Director, FP7-eMuCo (2008–2010) Advisory roles for Alcatel-Lucent R&D contracts

Gruia-Catalin Romanمشاهده پروفایل

استاد

• Mobile Computing
• Distributed Systems
• Software Engineering
• +۱۲ مورد دیگر

Gruia-Catalin Roman is a Professor in the Department of Computer Science at the University of New Mexico, within the College of Engineering. He has maintained a long-standing and impactful career in computer science research and education, with a focus on mobile computing, distributed systems, and the Internet of Things. His work bridges theoretical foundations and real-world applications, particularly in sensor networks and smart environments. Ph.D., Computer and Information Sciences, University of Pennsylvania, 1976 M.S., Computer and Information Sciences, University of Pennsylvania, 1974 B.S., Computer Science and Engineering, University of Pennsylvania, 1973 Roman's research interests center on enabling natural, responsive, and personalized interactions between people and smart environments. He explores middleware, formal methods, and human-centered computing to support IoT, mobile systems, and distributed applications. His work emphasizes paradigm shifts in how users interact with technology, particularly through spatial characteristics, augmented reality, and context-aware automation. The recent articles reflect a strong trajectory toward intelligent, user-aware IoT systems. Themes include conflict prediction, seamless automation, AR-based control, and abstraction layers like the Space Broker. These works demonstrate a shift from device-centric to human-centric computing, leveraging machine learning, middleware, and distributed algorithms to reduce user cognitive load and enhance personalization. SenSys 2022 Test of Time Award for early efforts to introduce sensor networking technology into clinical practice Roman has supervised 19 doctoral students, many of whom have pursued academic careers. He has secured significant research funding, including an NSF grant on context-assisted interactions in IoT with UT Austin. His leadership extends to organizing flagship conferences such as ICSE 2005 and FSE 2010, and serving on editorial boards of top software engineering journals. He is known for his innovative teaching, mentoring, and advocacy for active learning and multidisciplinary collaboration. Roman leads the Mobile Computing Laboratory (MobiLab), where students and researchers prototype and evaluate IoT interaction paradigms. The lab explores smart glasses, QR-based interfaces, and spatial control algorithms. His work often involves collaborations across institutions and disciplines, reflecting his commitment to impactful, real-world computing solutions.

Marco Gruteserمشاهده پروفایل

استاد

• Mobile Computing
• Location Privacy
• Vehicular Networks
• +۳ مورد دیگر

Marco Gruteser is a Professor of Electrical and Computer Engineering (primary) and Computer Science (by courtesy) at Rutgers University, leading research at the Wireless Information Network Laboratory (WINLAB). His work focuses on mobile computing, location privacy, vehicular networks, and wireless security. With over 100 peer-reviewed publications, he has pioneered privacy-preserving techniques in location-based services and advanced connected vehicle systems. NSF CAREER Award recipient Rutgers Outstanding Engineering Faculty Award Best Paper Awards at ACM MobiCom 2012/2011, MobiSys 2010 His research spans vehicular security , visual MIMO networks , mobile sensing , and privacy-preserving systems . Recent publications highlight WiFi-based vehicle positioning, light-based communication, and federated learning applications. He has advised numerous PhD and MS students now at institutions like Google, Carnegie Mellon, and AT&T Labs. Notable contributions include ParkNet (parking sensing), capacitive touch authentication, and tire-pressure monitoring security analysis. His work has been featured in NPR , The New York Times , and CNN .

• Computer Science
• Sensor Networks
• Robotics
• +۵ مورد دیگر

Ákos Lédeczi is a prolific researcher with significant contributions to computer science, sensor networks, robotics, and K-12 education. His work spans hardware-software co-design, wireless localization, and accessible programming environments. Co-developed NetsBlox and DeepForge for novice-friendly distributed computing. Created PinPtr high-precision GPS cloud service and inTrack mobile node tracking systems. Pioneered Browser-based robotics simulation and smartphone IoT education for K-12 students. Explored RF interferometry , Doppler shift tracking , and acoustic shooter localization in urban environments. Contributed to medical capsule robot design and security co-design for embedded systems. His recent focus includes project-based AI curricula for female high school students and collaborative visual programming environments . While specific university affiliations aren't detailed here, his collaborations with Péter Völgyesi, Miklós Maróti, and others highlight his role in advancing distributed and sensor network research.

Claudio Giovanni Demartiniمشاهده پروفایل

استاد

• Computer Engineering
• Education Innovation
• Innovation Management
• +۵ مورد دیگر

Claudio Giovanni Demartini is a Full Professor of Computer Engineering at the Department of Control and Computer Engineering (DAUIN) at Polytechnic University of Turin . Holding the academic rank of Professor, he has been actively involved in teaching, research, and institutional governance since the 2000s. His affiliations include the GRAINS research group (Graphics and Intelligent Systems), NEXA Center on Internet and Society, and leadership roles in the Academic Senate and Department of Computer Engineering (2015-2019). PhD in Information and Systems Engineering (1987) Engineering Degree in Electronics (1980), Polytechnic University of Turin Research Interests span multiple domains of Computer Engineering and Information Systems , with specific focus on: IT Governance and Enterprise Architecture Digital Transformation in Education Blockchain and Distributed Ledger Technologies Wireless Sensor Networks and Cyber-Physical Systems Innovation Management in Industrial Contexts Human-Machine Interfaces and Virtual Reality Research Trends Analysis reveals consistent engagement with: Data-driven learning organizations (2023-2025) TSCH wireless protocol optimization (2019-2020) Social-technical aspects of IT governance AI applications in educational systems Blockchain for industrial and societal applications Immersive VR interfaces for system control Scientific Distinctions Fellow, IEEE (2007-) Senior Member, IEEE Member, Eta Kappa Nu Honor Association (2017-) Editorial Board, IEEE IT Professional Magazine Advising and Governance includes: Scientific Director for 15+ competitive research projects Leadership in European educational technology initiatives Advising on Italian national education reforms Board roles at Mario Boella Institute and INVALSI

• Biomedical Engineering
• Artificial Intelligence
• Machine Learning
• +۱۲ مورد دیگر

Associate Professor Rifai Chai is a faculty member in the Department of Biomedical Engineering at the School of Engineering, Swinburne University of Technology. He serves as the Academic Director (Partnerships), reflecting his leadership in academic-industry collaboration. His research focuses on the intersection of biomedical engineering and artificial intelligence, with applications in brain-computer interfaces, medical technologies, robotics, and embedded systems. University: Swinburne University of Technology School: School of Engineering Department: Biomedical Engineering Position: Associate Professor Email: rchai@swin.edu.au His educational and professional background includes over a decade of experience in product development in hardware, firmware, and software design in Indonesia and Australia from 2000 to 2011. His research interests are extensive and include: Artificial Intelligence and Machine Learning Brain-Computer Interfaces Medical Device Design Assistive Technology (e.g., smart wheelchairs, exoskeletons) Cognitive Fatigue and Workload Monitoring Back Pain Assessment and Rehabilitation Embedded Systems EEG and Physiological Signal Processing Rifai Chai's recent publications demonstrate a strong focus on AI-driven healthcare solutions. His work spans advanced computational intelligence in medical imaging (e.g., lung cancer and thyroid cancer detection), EEG-based systems for driver fatigue and emotion classification, rehabilitation technologies using exoskeletons, and cybersecurity in industrial IoT. He employs deep learning, hybrid models (e.g., MLP-BiLSTM), and advanced signal processing techniques to solve real-world biomedical problems. His research consistently targets practical, non-invasive, and real-time applications in clinical and industrial settings. His scientific contributions include numerous high-impact publications in journals such as IEEE Access, Sensors, and Medical & Biological Engineering & Computing, as well as book chapters with Elsevier and Springer. He has secured multiple research grants from industry partners and the Australian Research Council, supporting projects in breast electromagnetic scanning, solar-powered charging poles, and haptically-enabled motion simulation. Rifai Chai actively supervises PhD and Master’s students, with current HDR projects covering areas such as brain-computer interfaces for prosthetics, cognitive workload monitoring, distracted driving detection, and AI in medical imaging. He leads a multidisciplinary research team working at the forefront of biomedical innovation. His lab integrates AI, robotics, and physiological sensing to develop technologies that improve health outcomes and human performance.

Moussa Ayyashمشاهده پروفایل

استاد

• Wireless Communications
• Visible Light Communications
• Internet of Things
• +۷ مورد دیگر

Moussa Ayyash is a Professor in the Department of Computer Science at Chicago State University (CSU), within the College of Arts & Sciences. He serves as the Director of the Center for Integrated Networked Systems and Emerging Research (CINSER), leading cutting-edge research in wireless and networked systems. His research focuses on wireless communications , particularly visible light communications (VLC) , Internet of Things (IoT) , network security , and the integration of artificial intelligence in networking. His work explores coexistence strategies for heterogeneous networks, edge computing for cyber-physical systems, and next-generation 6G indoor flying networks. He has published extensively in top-tier IEEE journals, with a recent emphasis on AI-driven network optimization, hybrid RF-VLC systems, and secure, jamming-resilient IoT communications. Analysis of his recent publications reveals a strong trend toward intelligent, secure, and energy-efficient network architectures. His work bridges theoretical innovation with practical applications in education, healthcare, and transportation, often leveraging machine learning and deep reinforcement learning to solve complex networking challenges in dynamic environments. Fulbright Scholar Program Application (2023) Fulbright Specialist Award (Jordan, 2022) Fulbright Specialist Award (Iceland, 2018) Dr. Ayyash is a principal or co-principal investigator on multiple major federally funded grants, including projects sponsored by the National Science Foundation (NSF) , U.S. Department of Transportation , National Security Agency (NSA) , and the Department of Defense . His grants support initiatives in semiconductor education (Mic2ExL), broadband equity (ABELINC), navigation security (CARNATIONS), and cybersecurity education (GenCyber, SFS). These projects highlight his leadership in both research and educational outreach, often involving student training and community engagement. He leads the Center for Integrated Networked Systems and Emerging Research (CINSER), a research hub focused on advancing technologies in networked systems, cybersecurity, and emerging communication paradigms. His team collaborates on interdisciplinary projects involving AI, IoT, and resilient network design.

Lo’ay Abu Salahمشاهده پروفایل

استاد بالینی

• wireless sensor networks
• network security
• computer networking
• +۵ مورد دیگر

Lo’ay Abu Salah is a Clinical Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Chicago (UIC), affiliated with the College of Engineering. His research focuses on wireless sensor networks, network security, computer networking, communications and signal processing, and interdisciplinary product development. He has contributed extensively to trust-aware routing protocols in mobile ad hoc networks and network security. PhD (2006), Electrical and Computer Engineering, University of Illinois at Chicago MSc (1999), Communication Engineering, University of Jordan BSc (1997), Electrical and Computer Engineering, Philadelphia University His work spans wireless network security, trust management, and simulation models, with a particular emphasis on adaptive protocols for dynamic environments. Recent publications analyze trust metrics, mobility impacts, and fuzzy logic applications in mobile ad hoc networks. He received the IDEAL Scholar award from the Institute for the Development of Excellence in Assessment Leadership in 2008. He is a member of IEEE since 1993 and served on technical program committees for network security symposia. He founded and directed the UIC Industry Training and Collaboration Center (ITCC) in 2009. His professional service includes technical program committee roles for IEEE and Globecom conferences.

• Cyber-Physical Systems
• Industry 4.0
• Building Automation
• +۴ مورد دیگر

Prof. Dr.-Ing. Dipl.-Wirt. Ing. Diethelm Bienhaus is a faculty member at the Faculty of Information Technology (MNI) at Technische Hochschule Mittelhessen . His academic focus spans Cyber-Physical Systems , Industry 4.0 , and Assistive Technologies , with long-term projects in building automation and age-appropriate assistance systems. Research Interests: Cybersecurity for industrial systems, robotics, embedded systems, and human-computer interaction. Committee Roles: Member of the MNI Department Council, Head of Curriculum Development for Computer Engineering, and Chair of multiple appointment committees. Funded Projects: Led initiatives in secure digitalized healthcare production, dendrochronological analysis automation, and industrial connectivity platforms. Email: diethelm.bienhaus@mni.thm.de

Sudharman K. Jayaweeraمشاهده پروفایل

استاد

• Cognitive Radios
• Wireless Communications
• Statistical Signal Processing
• +۷ مورد دیگر

Dr. Sudharman K. Jayaweera is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico, Albuquerque, NM. He holds a PhD in Electrical Engineering from Princeton University (2003), an MS in Electrical Engineering from Princeton University (2001), and a BE in Electrical and Electronic Engineering with First Class Honors from the University of Melbourne, Australia (1997). He is a Senior Member of IEEE and serves as an editor for IEEE Transactions in Vehicular Technology. Dr. Jayaweera's research spans several key areas in modern communications and signal processing: Cognitive radios and autonomous learning systems Wireless communications and statistical signal processing Machine learning applications in communications Smart-grid technologies and cyber-physical systems Satellite communications and space networks Vehicular networks and distributed systems His recent work shows a clear trend toward integrating artificial intelligence with traditional communications systems, particularly focusing on UAV networks, spectrum management, and security aspects of cognitive radio systems. The publications reflect a strong emphasis on practical implementations of theoretical concepts, with applications ranging from smart grids to space communications. Dr. Jayaweera has received numerous scientific awards including the IEEE PACRIM 2011 Gold Award for Best Communications Paper, the IEEE AVSS '06 Best Paper Award, and the WPMC '03 Excellent Paper Award. He has also been recognized with fellowships including the National Research Council (NRC) Senior Fellow at the Naval Postgraduate School and ASEE Air Force Summer Faculty Fellow. As an advisor, Dr. Jayaweera has mentored numerous graduate students to completion of their PhD and MS degrees. His former students have gone on to successful careers at institutions including Syracuse University, SUNY Oswego, Qualcomm, Sandia National Labs, and other leading technology companies. He also directs the EYES Summer Internship program for international students at UNM. Dr. Jayaweera leads the Communications and Information Sciences Lab (CISL) and the Cognitive Radio Lab (CRL) at UNM, where his teams work on cutting-edge research in autonomous cognitive radios (which he terms "Radiobots"), machine learning for communications, and next-generation wireless systems.