جست‌وجوی استاد و پژوهشگر

• Ubiquitous Computing
• Pervasive Computing
• Wearable Computing
• +۲ مورد دیگر

Hao Chu is an Adjunct Professor at the Graduate Institute of Networking and Multimedia , Department of Computer Science and Information Engineering, National Taiwan University . He earned his B.S. from Cornell University and Ph.D. from University of Illinois at Urbana-Champaign under Prof. Klara Nahrstedt. His research focuses on ubiquitous and pervasive computing , wearable systems , sensor networks , and human-computer interaction . Key themes include persuasive computing for behavioral intervention, positional accuracy optimization in radio interferometry, and context-aware homecare technologies. Professional services include serving as General Co-Chair for ACM MobiSys 2013, Program Committee member for ACM UbiComp (2015-2006), and workshop organization roles at IEEE PerCom, IAT, and others. He has presented papers at UbiComp 2007, CHI 2008, and LOCA 2007 conferences. Contact: Department of Computer Science and Information Engineering, National Taiwan University, #1 Roosevelt Road, Section 4, Taipei, Taiwan 106, ROC

• Functional Biomaterials
• Surface Bioengineering
• Tissue Engineering and Regenerative Medicine
• +۴ مورد دیگر

Assoc. Professor Zhilian Yue is a Principal Fellow at the Intelligent Polymer Research Institute , part of the Australian Institute for Innovative Materials at the University of Wollongong . With appointments since 2023 and prior roles as a Senior Research Fellow (2021), Yue specializes in advanced biomaterials and tissue engineering technologies. Education: B.Sc. (Polymer Chemistry, Hebei University), M.Sc. (Polymer Chemistry, Peking University), Ph.D. (Heriot-Watt University) Research Interests: Functional biomaterials, tissue engineering, regenerative medicine, nanomedicine, and electroactive hydrogels Yue's research focuses on 3D bioprinting, electrofluidic systems, and conducting polymer hydrogels for wireless electrostimulation, with recent articles emphasizing collagen-based bioinks, corneal regeneration, and vascularized constructs for diabetes therapy. His work spans collaborations on ARC Discovery Projects and Medical Research Future Fund initiatives, including grants for skin wound treatments and bipolar electroactive architectures. Supervision: Yue actively supervises Ph.D. projects on electroactive hydrogels, neural repair, and flexible sensors, while past supervisees have completed work on collagen scaffolds, islet transplantation, and conductive inks. Labs & Teams: Affiliated with the Intelligent Polymer Research Institute and Australian Institute for Innovative Materials

Tim Taltyمشاهده پروفایل

استاد

• Wireless Communications
• Communication Systems
• Signal Processing
• +۴ مورد دیگر

Tim Talty is a Collegiate Professor and Director of Admissions for the Master of Engineering Program at Virginia Tech's Bradley Department of Electrical and Computer Engineering. He holds a Ph.D. from the University of Toledo (1996) and a B.S. from Trine University (1987). His research focuses on wireless communications, signal processing, and intra-vehicle sensor networks, with particular emphasis on physical layer security and mobile communications. Key research areas include lidar systems, vehicular antennas, and software-defined radio architectures. He has contributed to innovations in automotive communication networks, including UWB localization and transparent antenna fabrication. His work bridges theoretical advancements with practical applications in autonomous vehicles and telematics. Notable awards include the General Motors ‘Boss Kettering’ Award for Innovation (2019) and the Commander's Award for Civilian Service from the U.S. Army. He has served as an ABET program evaluator and actively participates in industry collaborations, including leadership roles in IEEE conferences and automotive R&D initiatives. Recent publications emphasize energy-efficient computing for ADAS, lidar miniaturization, and 5G vehicle connectivity. His research trends highlight interdisciplinary approaches to solving challenges in vehicular communication, sensor fusion, and autonomous systems.

Steven W. Ellingsonمشاهده پروفایل

دانشیار

• RF & Microwave Electromagnetics
• Signal Processing
• Radio Astronomy
• +۵ مورد دیگر

Steven W. Ellingson is an Associate Professor of Electrical & Computer Engineering at Virginia Tech, affiliated with the Bradley Department. His research focuses on RF & Microwave Electromagnetics, Signal Processing, Radio Astronomy, and antenna design. He holds a Ph.D. from The Ohio State University (2000), an M.S.E.E. from Ohio State (1989), and a B.S.E.C.E. from Clarkson University (1987). His work includes developing interference mitigation techniques for radio astronomy and satellite communications, as well as contributions to open educational resources like the Electromagnetics textbooks. Education: Ph.D., Electrical Engineering, The Ohio State University M.S., Electrical Engineering, The Ohio State University B.S., Electrical & Computer Engineering, Clarkson University Research: His projects include the Radio Astronomy Interference Mitigation (RAIM) initiative, SWIFT (coexistence of radio astronomy and satellite systems), and reflectarray technology. He emphasizes open-access educational materials and has authored influential textbooks on electromagnetics. Publications: Recent work includes advancements in interference cancellation, reconfigurable antennas, and collaborative research on radio astronomy instrumentation.

• Mobile Sensing
• Pervasive Computing
• TinyML
• +۱۱ مورد دیگر

Eiman Kanjo is a Professor of Pervasive Computing and Head of the Smart Sensing Lab at Nottingham Trent University (NTU), and a Provost’s Visiting Professor in Pervasive Sensing and tinyML at Imperial College London (2023–2024). She leads initiatives such as Smart Nottingham and Smart Campus , focusing on impactful mobile sensing solutions. Her research integrates AI, IoT, and TinyML for applications in environmental monitoring, wearable devices, and well-being. Awards & Recognition: Recognized as one of the Top 50 Women in Engineering (2023), recipient of the Turing Network Development Awards 2022 , and head of NTU’s Outstanding Researcher Team (2020/2021). She also serves on the Royal Society’s Newton International Fellowships Committee . Grants & Collaborations: Secured over £10M in grants from funders like DCMS (e.g., 5G Connected Forest ), InnovateUK, and EPSRC. Collaborates with industry, charities, and local authorities on projects such as TagWithMe (well-being social prescribing) and air quality monitoring in Nottingham. Labs & Networks: Leads NTU’s Turing University Network , the Green+ network (EPSRC-funded), and chairs the tinyML EMEA steering committee . Her work is published in journals like the Data Centric Engineering Journal .

Amna Mazenمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Dr. Amna Mazen is an Assistant Professor with a joint appointment between the Department of Applied Computing and the Department of Manufacturing and Mechanical Engineering Technology at Michigan Technological University. She holds a Ph.D. in Robotics from the University of Detroit Mercy (2024), an MSc in Automatic Control from Fayoum University (2018), and a BSc in Electrical Engineering from Fayoum University (2013). Education: Ph.D., Robotics, University of Detroit Mercy, USA, 2024 MSc., Automatic Control, Fayoum University, Egypt, 2018 BSc., Electrical Engineering, Fayoum University, Egypt, 2013 Her research focuses on Autonomous Robots/Vehicles , Machine Learning , and Robotics , with expertise in ROS, deep learning, computer vision, and control system design. She has contributed to interdisciplinary projects spanning healthcare robotics, energy management via drone imagery, and industrial automation. Dr. Mazen’s publications highlight trends in robot navigation , 3D printing optimization , and deep learning applications in robotics and energy systems. Her work includes trajectory planning using Bézier contours, warehouse automation, and occupancy detection via WI-FI data. Scientific Awards: No awards listed in the provided text. Dr. Mazen has over a decade of teaching experience, previously instructing at the University of Detroit Mercy and Fayoum University. Her teaching interests include Robotics and Mechatronics , Manipulator Robotics , and Control System Design .

• Massive MIMO
• Cognitive Radio Networks
• Smart Grids
• +۶ مورد دیگر

Professor Sangarapillai Lambotharan is a Professor of Digital Communications and Head of the Signal Processing and Networks Research Group at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. He holds qualifications including BEng, PhD, DIC, PGCAP, and is a Senior Member of IEEE, Fellow of IET, and Fellow of the Higher Education Academy. His research focuses on advanced wireless communication technologies such as Massive MIMO, Cognitive Radio Networks, and Smart Grids, alongside Machine Learning, Data Mining, and Cyber Security. He has authored over 200 publications in top-tier journals and conferences. His work integrates machine learning with signal processing to address challenges in adversarial attacks, federated learning, and network optimization. Recent research emphasizes intelligent reflecting surfaces (RIS), OTFS satellite communications, and federated learning defenses against model poisoning. Prof. Lambotharan's contributions span theory development, algorithm design, and practical implementations in 5G/6G systems, UAV networks, and edge computing environments. He leads collaborative projects on secure communications, distributed intelligence, and blockchain-based network security mechanisms. Prof. Lambotharan's academic leadership includes editorial roles at IET Signal Processing and teaching Digital Signal Processing and Information Theory. His lab explores cutting-edge topics like RIS-aided systems, anomaly detection in IoT, and context-aware caching strategies for heterogeneous networks. Key achievements include pioneering work on Kalman filtering for channel estimation and game-theoretic solutions for resource allocation in cognitive radio networks.

Miroslav Minovicمشاهده پروفایل

استاد

• HCI
• Multimedia
• Computer Networks
• +۳ مورد دیگر

Miroslav Minović is a Full Professor and Head of the Laboratory for Multimedia Communications at the University of Belgrade's School of Business Administration. He holds a PhD in Information Technology and has extensive experience in academia and research. His roles include Director of the Laboratory for Multimedia Communications and guest editor for the International Journal of Engineering Education . Education: PhD in Information Technology (2010), University of Belgrade M.Sc. in Information Technology (2002), University of Belgrade Visiting Researcher at University of the Balearic Islands (2015) and EBS Business School (2013) Research Interests: Human-Computer Interaction (HCI), Multimedia Systems, Biometric Technologies, Blockchain Applications, Computer Networks, and Gamification in Education. Notable Projects: TRAILER EU Project (2012–2013): Focused on informal learning recognition AI4WorkplaceSafety (2020–2022): AI-driven workplace safety solutions Blockchain Technology Research: Explored applications beyond cryptocurrencies Publications: Over 50 peer-reviewed articles in journals like IEEE Multimedia , Computers in Human Behavior , and Sensors . Key themes include gamification ecosystems, biometric systems, and e-learning analytics. Awards & Memberships: Member of IEEE and ACM National Contact Point for Serbia, European Association for Biometrics Grants & Labs: Directed multiple EU-funded and Serbian government projects Lab focuses on multimedia communications, blockchain, and biometric technologies

• Networking
• Wireless Communication
• Internet of Things (IoT)
• +۵ مورد دیگر

Frank Yong Li is a Professor in the Department of Information and Communication Technology at the University of Agder, Norway. He holds a Ph.D. in Telematics from the Norwegian University of Science and Technology (NTNU). His research focuses on networking aspects of mobile and wireless systems, including 5G/6G, IoT, cognitive radio, and energy-efficient protocols. He has supervised numerous M.Sc. and Ph.D. theses, with notable awards such as the Best Master Thesis in ICT 2022 for Jon Anders Skadberg Øgaard's work. Teaching responsibilities include advanced courses on mobile communications, IoT, and 5G fundamentals. He has led projects prototyping open-source 5G systems and contributed to maritime IoT and vehicular networks. His work emphasizes protocol design, performance evaluation, and real-world implementation. Research interests span MAC mechanisms, routing protocols, cooperative communications, and network slicing. Key contributions include frameworks for energy-efficient IoT, grant-free access in 5G NR, and reliability analysis in ultra-reliable low-latency communications (URLLC). He advises on over 50 student projects, focusing on IoT, 5G, and network security. Notable collaborations include partnerships with Telenor Maritime and CERN, integrating academia-industry research. His labs explore cutting-edge topics in beyond 5G networks and private mobile infrastructure.

Mulugeta Weldezgina Asresمشاهده پروفایل

پژوهشگر

• Data Science
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Mulugeta Weldezgina Asres is a Researcher at the Department of Information and Communication Technology , University of Agder, Norway. His roles include developing large-scale anomaly detection systems for CERN detectors and advancing AI-driven industrial data analytics. He holds a Ph.D. in machine learning for non-intrusive load monitoring (NILM) and has prior academic experience at Mekelle University (Ethiopia) and Politecnico di Torino (Italy). Education: B.Sc. (Gold Medal) and M.Sc. (Gold Medal) in Computer Engineering from Mekelle University, followed by doctoral research at the Center for Artificial Intelligence Research (CAIR), Norway. His research focuses on time-series analysis, anomaly detection, IoT, and Industry 4.0 applications. Key research areas include multivariate time-series modeling, deep learning for anomaly prediction in high-energy physics detectors, and AI-powered industrial monitoring. He has contributed to projects at CERN, Telecom Italia, and automotive manufacturing, emphasizing data-driven solutions. Awards include Gold-Medal Awards for academic excellence in both B.Sc. and M.Sc. His work bridges theoretical machine learning with practical applications in energy efficiency, telecommunications, and particle physics instrumentation. Publications span IEEE journals and conferences, focusing on anomaly detection frameworks, NILM algorithms, and predictive modeling for industrial systems. Collaborations include institutions like CERN, Politecnico di Torino, and Midori srl, an energy efficiency startup.

• IoT Security
• Wireless Communication Protocols
• Vehicular Networks
• +۳ مورد دیگر

Dr. Rafik Zitouni is a Research Fellow and Lead Software Engineer at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Institute for Communication Systems. His work focuses on wireless communication protocols, IoT security, vehicular networks, and adaptive networking solutions. He has contributed to advancements in 6TiSCH, LoRaWAN, and MQTT protocols, with an emphasis on security mechanisms, network optimization, and machine learning applications. Research interests include securing industrial IoT networks, vehicular emergency messaging systems, and low-power wide-area networks (LPWAN). He has pioneered techniques such as fuzzy logic-based detection of selfish nodes in 6TiSCH and Fuzzy C-Means clustering for LoRa parameter optimization. His work on FPGA-based sensor fusion for autonomous vehicles addresses real-time data processing challenges. Key contributions span 20+ peer-reviewed publications in journals like Wireless Networks and Computer Communications , and conferences including IWCMC and MENACOMM. He actively collaborates with industry and academia on open radio access networks (O-RAN) and underwater localization systems. Current research emphasizes machine learning-driven network automation and resilient IoT infrastructure.

Arun Venkataramaniمشاهده پروفایل

استاد

• Networking
• Distributed Systems
• Mobile Systems
• +۳ مورد دیگر

Arun Venkataramani is a Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. He joined the faculty in 2005 as an Assistant Professor, advancing to Associate Professor in 2010. His roles include Chair of Master’s Admissions and Master’s Program Director. His research focuses on networking, distributed systems, mobile and sensor systems, with a particular emphasis on privacy-preserving consensus, interdomain routing, and secure communication in challenged networks. Education: PhD in Computer Sciences, University of Texas at Austin MS in Computer Sciences, University of Texas at Austin BTech in Computer Science and Engineering, Indian Institute of Technology, Bombay Research interests span Networking (privacy-preserving protocols, interdomain routing), Distributed Systems (consensus algorithms, replica coordination), and Mobile Systems (mobility-centric architectures, sensor networks). His work often addresses security, scalability, and resilience in next-generation internet architectures. Awards: Co-recipient of the J.C. Browne Fellowship (awarded to outstanding UT Austin CS graduate students) Ranked in the top 40 among 100,000+ candidates in India’s IIT entrance exam Advising & Projects: Leads the Advanced Networked Systems Research Group Contributions to MobilityFirst, GigaPaxos, and msocket systems Involved in NSF-funded projects like NeTS and Light-Speed Networking Labs/Teams: Primary affiliation with the Advanced Networked Systems Research Group, collaborating on global name services, secure communication, and mobility-centric architectures.

Mohamed-Yahia Dabbaghمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Image Processing
• Video Processing
• +۶ مورد دیگر

Mohamed-Yahia Dabbagh is an Associate Professor, Teaching Stream in the Department of Electrical and Computer Engineering at the University of Waterloo. He holds a PhD from North Carolina State University (1989), an MSE from the University of Michigan (1981), and a BSE from the University of Aleppo (1976). His research focuses on digital signal processing, image/video processing, and VLSI multiprocessor implementation of algorithms for communication systems and computer vision. He has developed architectures for digital filters and explored video motion estimation, segmentation, and pattern recognition. Dr. Dabbagh has authored numerous articles in IEEE and other venues, including work on wireless sensor anomaly detection, smartphone application monitoring, and FPGA-based digital filter implementations. His teaching includes courses such as Signals and Systems (ECE 207), Linear Circuits (ECE 140), and Probability and Random Processes (ECE 316). His research has spanned VLSI environments, Bayesian classification for video processing, and real-time signal processing techniques. Notable contributions include multiprocessor filter implementations and adaptive motion estimation algorithms. Dr. Dabbagh is a Professional Engineer (PEng) registered in Ontario and has contributed to technical reports on imaging systems and geographic information systems during his tenure at Kuwait-based institutions.

Mei Yangمشاهده پروفایل

استاد

• Computer architectures
• Interconnection networks
• Machine learning
• +۵ مورد دیگر

Mei Yang is a Professor and Chair in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas (UNLV). Her research focuses on computer architectures, interconnection networks, machine learning, embedded systems, and wireless sensor networks. She leads the Networking and System Integration Laboratory (NSIL), advancing interdisciplinary projects at the intersection of hardware design and intelligent systems. Education Ph.D., Computer Science, University of Texas at Dallas, 2003 Research Interests Dr. Yang's work spans network-on-chip (NoC) architectures, thermal-aware task management, and deep learning applications in microscopy and environmental monitoring. She explores energy-efficient computing, cybersecurity in many-core systems, and educational strategies to engage girls in STEM through hands-on projects like IoT and embedded systems. Articles Trends Her recent publications emphasize hardware security (e.g., thermal covert channels), AI-driven biomedical image analysis, and optimizing multi-chiplet systems. She bridges theoretical contributions with practical implementations, such as FPGA-based NoC emulators and GAN-based protein localization tools. Labs & Teams Hosts the NSIL lab, fostering collaborations in photonic networks-on-chip, embedded systems, and cybersecurity. Active in IEEE and ACM conferences, organizing special sessions on high-performance computing and network coding.

Demosthenis Teneketzisمشاهده پروفایل

استاد

• Stochastic Control
• Decentralized Stochastic Systems
• Communication and Queueing Networks
• +۷ مورد دیگر

Demosthenis Teneketzis is a Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He holds degrees from the University of Patras (Greece) and MIT (USA). His research focuses on stochastic control, decentralized systems, communication networks, and game-theoretic applications to cyber-security and electricity markets. He has held visiting positions at ETH Zurich and has industry experience with Systems Control, Inc. and Alphatech, Inc. Education: Diploma in Electrical Engineering, University of Patras, 1974 M.S., E.E., Ph.D. in Electrical Engineering, MIT, 1976-1979 Research Interests: Stochastic Control & Decentralized Systems Game Theory in Networks & Markets Cyber-Security & Resource Allocation Electricity Market Design Optimization & Mechanism Design Recent work trends include: Dynamic games with asymmetric information Information design in strategic systems Optimal mechanisms for electricity markets Decentralized control of cyber networks Game-theoretic security strategies No scientific awards explicitly listed in provided text. Advising/grants: No student list or grant details provided. Active in interdisciplinary projects like the SoilSCaPE wireless sensor network for environmental monitoring.