جست‌وجوی استاد و پژوهشگر

Pedram Johariمشاهده پروفایل

پژوهشگر

• Intra-body Communications
• Wireless Networking
• Internet of Medical Things
• +۴ مورد دیگر

Pedram Johari serves as a Principal Research Scientist at Northeastern University's Institute for Wireless Internet of Things, working under Prof. Tommaso Melodia in the Department of Electrical and Computer Engineering within the College of Engineering. His research focuses on next-generation wireless communications with particular emphasis on medical applications and nanoscale networks. Dr. Johari earned his Ph.D. in Electrical Engineering from the University at Buffalo, State University of New York in 2018 under the supervision of Prof. Josep M. Jornet. Prior to joining Northeastern, he served as CTO of an IoT-tech startup in New York (2018-2019) and held academic positions at University at Buffalo as Adjunct Instructor and Research Assistant Professor (by courtesy appointment). His research spans four interconnected domains: Intra-body Communications and Networking focusing on nanoscale electromagnetic and optical communications within biological tissues; Internet of Medical Things developing wireless systems for healthcare applications; Low Power Wireless IoT creating energy-efficient communication protocols; and Vehicular Communications advancing cooperative driving systems. His work bridges theoretical modeling with practical implementation, often incorporating AI techniques for network optimization. Analysis of his recent publications reveals a strong trend toward digital twin technology for wireless networks, AI-enabled communication systems, and medical applications of nanoscale communications. His research increasingly integrates machine learning with traditional communication theory, particularly in Open RAN systems and seizure prediction technologies, demonstrating cross-disciplinary impact across engineering, computer science, and biomedical fields. Best Paper Award at IEEE Global Communications Conference (GLOBECOM) Best Short Paper Award at IEEE Vehicular Networking Conference (VNC) Best Presentation Award at IEEE Conf. on Computer Communications Workshops (INFOCOM WKSHPS) Dr. Johari actively contributes to academic service as a reviewer for numerous prestigious journals including IEEE Transactions on Wireless Communications, IEEE Transactions on Mobile Computing, and IEEE Internet of Things Journal. He has served on technical program committees for major conferences including IEEE/ACM CHASE and IEEE SECON. His teaching experience includes courses in programming, circuit analysis, and digital principles at University at Buffalo. As a key member of the Wireless Networks and Embedded Systems Lab at Northeastern University, Dr. Johari contributes to the Colosseum wireless network emulator project - recognized as the world's largest wireless network emulator. His work with the Institute for Wireless Internet of Things involves collaboration with industry partners to translate research into practical wireless communication solutions.

Frédéric Dufauxمشاهده پروفایل

استاد پژوهشی

• Image and Video Coding
• 3D Video
• High Dynamic Range Imaging
• +۵ مورد دیگر

Frédéric Dufaux is a CNRS Research Director at Université Paris-Saclay, affiliated with CentraleSupélec and the Laboratoire des Signaux et Systèmes (L2S), where he heads the Telecom and Networking hub. He holds an M.Sc. in Physics (1990) and a Ph.D. in Electrical Engineering (1994) from the Swiss Federal Institute of Technology (EPFL). With over 20 years of research experience, he previously worked at EPFL, MIT, and industry leaders including Compaq and Digital Equipment. His research spans: Fundamental video coding techniques and 3D video systems High dynamic range imaging and perceptual quality assessment Privacy-preserving video surveillance and multimedia content analysis Wireless video transmission and next-generation compression standards Recent publications focus on HDR compression optimization, semantic video coding using seam carving, distributed video coding with machine learning, and 3D video standardization, demonstrating consistent innovation in video processing architectures and perceptual quality enhancement. Awards & Honors: IEEE Fellow Two ISO Awards for contributions to JPEG 2000 wireless (JPWL) and JPSearch standards He leads multiple standardization initiatives in MPEG/JPEG committees and has held editorial leadership roles including Editor-in-Chief of Signal Processing: Image Communication (2010-2019). He chairs the EURASIP Technical Area Committee on Visual Information Processing and has organized major conferences including ICIP and MMSP.

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.

Tanya Vladimirovaمشاهده پروفایل

استاد

• Embedded Systems
• Artificial Intelligence
• Space Systems Engineering
• +۵ مورد دیگر

Professor Tanya Vladimirova is a Professor of Electronic and Computer Systems Engineering at the University of Leicester, affiliated with the School of Engineering's Mathematical Sciences department. Her research focuses on custom computing for edge intelligence, embedded systems design, and space-based applications. She pioneered innovations in satellite computing systems, including reconfigurable on-board computers, fault-tolerant designs, and FPGA-accelerated image processing. Her work integrates AI, digital signal processing, and hardware acceleration for applications in autonomous vehicles, spacecraft, and IoT. Key achievements include the first FPGA-based on-board hyperspectral image compression systems, fault-tolerant distributed computing frameworks for satellites, and self-healing distributed intra-satellite systems. Current projects explore machine learning for satellite reliability and autonomous vehicle vision systems. Prior to Leicester, she led a globally recognized group at the Surrey Space Centre, collaborating with Surrey Satellite Technology Limited (SSTL). Her research spans satellite miniaturization, wireless sensor networks for planetary exploration, and radiation-hardened computing. Her publications address challenges in satellite data processing, fault tolerance, and embedded AI. Notable contributions include novel algorithms for landmine detection, radiation mitigation strategies for FPGAs, and adaptive middleware for distributed space systems. Her work bridges theoretical computing with practical aerospace engineering, emphasizing resilience and efficiency in hostile environments.

Mohamed Kariمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Mixed Reality
• Computer Graphics
• +۵ مورد دیگر

Mohamed Kari is a Presidential Postdoctoral Fellow at the Department of Computer Science, Princeton University , and an Associate Member at the University of Duisburg-Essen 's Integrated Information Systems research group. His work bridges Mixed Reality , Human-Computer Interaction , and Machine Learning , with a focus on semantically coherent, sensor-rich systems. PhD in Computer Science from University of Duisburg-Essen (with highest distinction) Fulbright Full Grant recipient for studies in the U.S. Research Interests span immersive technologies, sensor integration, and context-aware systems. He investigates how to seamlessly blend virtual actions with physical environments through Scene Responsiveness and develops audio-augmented reality applications like SoundsRide for automotive contexts. Article Trends reveal his focus on environmental manipulation in mixed reality affordance-synchronized user experiences pose-aware object substitution mobile and constrained VR input methods automotive context modeling Scientific Awards include Best Paper Awards at ACM UIST 2021 and 2023 Honorable Mention , as well as recognition for his dissertation with the highest distinction. Thesis Supervision at UDE involves rigorous requirements: English-language theses using LaTeX , original research with structured problem statements, and mandatory video presentations of contributions. He has guided students in topics like Intra-Company Networking Platforms and Automated UI Testing . Laboratory Affiliations include Princeton's Situated Interactions Lab , ETH Zurich's Sensing, Interaction & Perception Lab , and industry labs at Apple , Meta , and Porsche Emerging Tech Research .

Neil Klingensmithمشاهده پروفایل

استادیار

• Cyber-physical systems
• Internet of Things (IoT)
• Embedded systems
• +۴ مورد دیگر

Neil Klingensmith is an Assistant Professor of Computer Science at Loyola University Chicago, specializing in hardware-software co-design for cyber-physical systems. His research focuses on making IoT systems more efficient, reliable, and secure while maintaining strong educational leadership in operating systems and embedded systems courses. PhD in Computer Engineering from University of Wisconsin (2019) MS in Computer Engineering from University of Wisconsin (2016) BS in Electrical Engineering from University of Wisconsin (2010) Klingensmith's research spans three major areas: IoT Security : Innovating secure device authentication through environmental signals (power line noise, electromagnetic radiation) and analyzing vulnerabilities in automotive and conferencing systems Low-power Embedded Systems : Developing energy-efficient sampling techniques and hypervisor-based privacy agents for mobile/IoT devices Operating System Design : Exploring userland containers, real-time hypervisors, and memory management frameworks His recent publications demonstrate focus areas in authentication mechanisms , secure device pairing , and mobile virtualization . With 15+ years of academic and industry experience, he has secured significant funding including: $500k NSA NCAE grant (2023-2024) $250k NSF OAC grant for low-power computer vision (2021-2024) $110k US Department of Energy Fellowship (2013-2015) His students have successfully placed at major companies including Amazon, Google, and Boeing while advancing research in: Secure firmware development Real-time OS implementation Hardware authentication techniques Memory management optimization Embedded system design As co-founder of Emonix, he bridges academic research with commercial applications in HVAC automation. His patents in context-based device pairing demonstrate practical impact of his theoretical work.

• Wireless Communication Systems
• Distributed Machine Learning
• Edge Computing
• +۵ مورد دیگر

Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.

• Cyber Security
• Internet-of-Things (IoT)
• Wireless Communication Networks
• +۱۲ مورد دیگر

Dr. Md Arafatur Rahman is a Senior Lecturer in Cyber Security at the School of Engineering, Computing & Mathematical Sciences, Faculty of Science and Engineering, University of Wolverhampton, UK. He previously served as an Associate Professor at Universiti Malaysia Pahang and holds a PhD from the University of Naples Federico II, Italy. He is a Senior Member of IEEE and a Fellow of the Higher Education Academy, with international recognition including the Royal Academy of Engineering Global Talent endorsement. PhD in Electronic and Telecommunications Engineering, University of Naples Federico II, Italy Former Associate Professor, Universiti Malaysia Pahang Postdoctoral Research Fellow, University of Naples Federico II Visiting Researcher, Sapienza University of Rome Dr. Rahman’s research focuses on cutting-edge domains in cyber-physical systems and connectivity. His primary interests include Internet-of-Things (IoT) , Wireless Communication Networks , Cognitive Radio , 5G , Vehicular Communication , Cloud-Fog-Edge Computing , Machine Learning , and Cyber Security . His work bridges theoretical innovation with real-world applications in smart cities, energy-efficient infrastructure, and disaster response systems. The recent publications reflect a strong trend toward intelligent, secure, and scalable systems. Key themes include IoT-enabled smart infrastructure , fog-edge computing for real-time analytics , machine learning in network optimization , and secure data handling in cyber-physical systems . His work frequently appears in top-tier journals like IEEE Transactions and Elsevier journals, emphasizing both technical innovation and societal impact. World Top 2% Scientists List (Stanford University, 2019–2021) Best Paper Award, ICNS’15 (Italy) Best Innovation Award & Gold Medal, MTE 2020 Gold & Silver Medals, iENA’17 Germany Diamond & Gold Medal, BiS’17 UK Best Supervisor Award, UMP Higher Education Academy (HEA) Fellowship IBM Center of Excellence Fellow Royal Academy of Engineering Global Talent (Exceptional Talent, 2022) Dr. Rahman has supervised over 30 students at B.Sc., M.Sc., and PhD levels and led numerous international research grants from UK, EU, Italy, and Malaysia. He has collaborated with industry partners such as FUSI Technology Indonesia, developing commercializable innovations. He serves as an editor and guest editor for journals including IEEE Access and Frontiers in the Internet of Things, and has held leadership roles in major conferences like IEEE Globecom and IEEE DASC. He is actively involved in research labs focusing on IoT, wireless security, and smart infrastructure, contributing to both academic and industrial advancements.