جست‌وجوی استاد و پژوهشگر

• Accessibility in Computing
• Digital Forensics
• Artificial Intelligence
• +۳ مورد دیگر

Ramzi Djemai is a Lecturer in Computer Science and Applied Computing at the School of Computing and Digital Media, London Metropolitan University. His work focuses on accessibility technologies, digital forensics, and artificial intelligence applications. He contributes to inclusive computing through assistive tools for visually impaired users and explores cutting-edge methods in steganography detection and emergency path planning. Research interests include: Design of accessible computing solutions Steganography analysis in digital evidence Autonomous systems for evacuation routing Human-centered AI applications Recent articles highlight advancements in: Image recognition systems for visual impairment support Hybrid methods for steganographic evidence recovery Dynamic path planning frameworks No scientific awards or grants are listed in the provided information. Advising records are unavailable. No specific lab affiliations are mentioned.

Thomas Fevensمشاهده پروفایل

استاد

• Deep Learning
• Medical Image Processing
• Computer-Aided Medical Diagnosis
• +۵ مورد دیگر

Thomas G. Fevens is a Professor in the Department of Computer Science and Software Engineering at Concordia University, and an Adjunct Professor in the Department of Surgery at McGill University. He holds a PhD in Computing and Information Science from Queen's University (1999), with prior degrees in Astrophysics and Physics. His research focuses on medical imaging applications of deep learning, computational geometry, and surgical software innovation. Notable work includes computer-aided diagnosis systems for breast cancer using cytological images, 3D surgical planning algorithms, and motion tracking frameworks for ACL injury assessment. Education: PhD in Computing and Information Science, Queen's University (1999) MSc in Computing and Information Science, Queen's University (1994) MSc in Physics (General Relativity), Queen's University (1993) BSc in Astrophysics (Honours), Queen's University (1990) Research emphasizes interdisciplinary applications of AI in healthcare, including: Medical image segmentation using U-Net architectures Deep learning for tumor localization Kinect-based motion analysis systems Generative adversarial networks (GANs) for medical imaging Publications demonstrate contributions to both core computer science (mobile ad hoc networks, computational geometry) and clinical applications (surgical planning, cancer diagnosis). Active in industry collaboration through the ML-MVP lab, focusing on translating AI research into clinical tools.

• Telecommunications
• Network Optimization
• Artificial Intelligence
• +۳ مورد دیگر

Professor Nancy Alonistioti is a faculty member at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. Her research focuses on advanced telecommunications technologies, including 5G/6G networks, AI-driven optimization, and network management systems. She leads studies in areas such as distributed learning frameworks for QoS prediction, fuzzy logic applications in emergency systems, and energy-efficient federated learning for wireless networks. Her work emphasizes network programmability, self-organizing mechanisms, and autonomic network management. Key contributions include the development of SIM+, a comprehensive information model for beyond 5G networks, and the Distinqt framework for privacy-aware learning in mobile systems. She explores applications in vehicular communications, maritime networks, and Industry 4.0 transformations through 5G capabilities. Professor Alonistioti’s research also addresses challenges like context-aware profiling, dynamic infrastructure-as-a-service paradigms, and genetic algorithm-based resource allocation in edge networks. Her publications span over two decades, reflecting a deep engagement with evolving network architectures and technologies.

• Data Communications
• Network Security
• Software-Defined Networking (SDN)
• +۴ مورد دیگر

Dr. Martin Collier is an Associate Professor in the School of Electronic Engineering at Dublin City University and director of the Entwine Centre, focusing on IoT infrastructure. His research spans data and computer communications, network security, energy-efficient networking, and SDN/NFV. He leads projects like Horizon 2020's INPUT and FP7's ECONET, collaborating with IBM on data centre network design. His work emphasizes switch fabrics, green routers, and optical technologies. Research Interests: Switching/Routing, SDN, NFV, IoT, Energy Efficiency, Data Centre Networks. Recent Projects: INPUT (SDN/NFV personal cloud services), ECONET (energy efficiency), and IBM-funded data centre design. Laboratory activities include NetFPGA-based testing and SDN implementations. Teaching: Modules include Broadband Networks (EE552), Network Programming (EE562), and Communications Theory (EE450). Supervises final-year and MEng projects. Labs/Teams: Switching & Systems Lab (NetFPGA testbed), Entwine Centre (IoT infrastructure).

Cubby L Gardnerمشاهده پروفایل

پژوهشگر

• Military Nursing
• Genomics
• Health Informatics
• +۳ مورد دیگر

Cubby L Gardner , PhD and Family Nurse Practitioner (FNP-C), serves as a researcher at the Uniformed Services University of the Health Sciences under the Graduate School of Nursing . His work bridges military healthcare challenges with clinical research, focusing on patient outcomes and health technology integration. Dr. Gardner’s research spans multiple domains, including Military health behavior analysis and health literacy Cardiovascular monitoring in heart failure patients Psychiatric aeromedical evacuation trends Genomic medicine implementation in military settings Mental health transport protocols Deployed healthcare quality metrics Analysis of his publications reveals a consistent emphasis on military-specific health issues, particularly in deployed environments. His work explores nocturnal physiological variability, genomic sequencing applications, and mental health crisis management, often utilizing scoping reviews and comparative studies. Dr. Gardner’s scientific collaborations include projects like the MilSeq Project and STRONG STAR Consortium , which aim to advance personalized medicine and PTSD treatment for service members. His research also addresses critical gaps in en route combat casualty care priorities.

Tao Wangمشاهده پروفایل

استادیار

• Network Security
• Web Security
• 5G Security
• +۵ مورد دیگر

Tao Wang is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas, within the College of Computing and Informatics. He co-directs the Intelligent Security and Privacy (ISnP) Lab and holds a Ph.D. from the University of South Florida (2019) and a B.S. from Jilin University, China. Education: Ph.D., University of South Florida, 2019 B.S., Jilin University, China Dr. Wang's research spans Network Security , Web Security , 5G Security , Cyber-physical System Security and IoT Security , Wireless Networking , and Machine Learning for Cybersecurity including Trustworthy and Adversarial Machine Learning. His work focuses on designing defenses for emerging wireless technologies and web applications against sophisticated adversaries. His recent publications (2019-2023) reveal a strong emphasis on practical security solutions for IoT, 5G, and wireless systems, often integrating machine learning techniques. Key themes include data integrity in hardware enclaves, JavaScript caching vulnerabilities, MU-MIMO user selection, and adversarial network inference. Scientific Awards: Best Paper Award at IEEE GlobalSIP (2019) NSF Engineering Research Initiation (ERI) award (2022) Dr. Wang has successfully secured competitive grants from the NSF (Sole PI for ERI award), DoD Office of Naval Research (Sole PI for WeCARE project), U.S. Department of Energy, U.S. Army Research Laboratory, and Microsoft AFMR program. He actively mentors students, with at least one advisee (Shengping) acknowledged in publications, and recruits PhD, MS, and undergraduate researchers for his lab. He leads the Intelligent Security and Privacy (ISnP) Lab, which focuses on cutting-edge security research for next-generation networks and systems.

Christopher Whippsمشاهده پروفایل

استاد

• Parasitology
• Microbiology
• Infectious Diseases
• +۳ مورد دیگر

Christopher Whipps is a Professor and Faculty Director of the SUNY Center for Applied Microbiology at the SUNY College of Environmental Science and Forestry (ESF). His research focuses on parasitology, microbiology, and infectious diseases in aquatic and wildlife systems. He holds a Ph.D. in Microbiology (Oregon State University, 2004) and a B.Sc. in Biology (University of Victoria, 1997). His work includes studies on myxozoan parasites, mycobacterial infections in zebrafish, and emerging zoonotic pathogens like Echinococcus multilocularis. He teaches courses in parasitology, molecular biology techniques, and biotechnology. Recent research highlights include investigations into wildlife disease dynamics and conservation biology implications. Whipps advises graduate students in environmental and forest biology, with current advisee Peter Foley focusing on MPS research. His lab explores pathogen transmission in aquatic systems and wildlife health, supported by grants addressing emerging infections and disease ecology. He maintains an active collaboration network in microbiology, parasitology, and conservation science.

Mohammed Elmorsyمشاهده پروفایل

دانشیار

• Wireless Sensor Networks
• Network Security
• Internet of Things (IoT)
• +۳ مورد دیگر

Dr. Mohammed Elmorsy is an Associate Professor in the Department of Computer Science at MacEwan University. He holds a PhD from the University of Alberta (2017) and degrees from Zagazig University, Egypt. His expertise spans wireless sensor networks, network security, IoT, and algorithm design for combinatorial network problems. He teaches courses such as Wireless Networks and Embedded Systems (CMPT 464) and Introduction to Computing I (CMPT 101). Dr. Elmorsy's research focuses on enhancing wireless sensor network reliability through efficient routing protocols, security mechanisms, and resource allocation methodologies that ensure quality of information (QoI) and quality of service (QoS). He has published extensively in top venues like IEEE International Conference on Communications and IEEE Conference on Local Computer Networks. His awards include the Queen Elizabeth II Graduate Scholarship (2016), Mary Louise Imrie Award (2015), and multiple teaching and research accolades from the University of Alberta. He is an active member of the IEEE Computer Society and available to supervise senior student research projects. Key research trends in his articles include energy harvesting optimization, flow reliability analysis in dynamic networks, probabilistic models for network connectivity, and machine learning applications in sports analytics and autonomous systems.

Yixin Sunمشاهده پروفایل

استادیار

• Network Security
• Privacy
• Routing Security
• +۸ مورد دیگر

Yixin Sun is an Anita Jones Career Enhancement Assistant Professor in the Department of Computer Science and an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Virginia's School of Engineering and Applied Science. Their research focuses on network security and privacy, including routing security, anonymity systems, and network attacks and defenses. Sun holds a B.A. from the University of Virginia (2013) and a Ph.D. from Princeton University (2019). Research interests span critical areas such as TLS and DNS security, IoT device vulnerabilities, connected vehicle systems, and privacy-preserving protocols like those in the Tor network. Their work addresses real-world challenges, such as securing internet infrastructure against routing attacks and enhancing anonymity in dynamic network environments. Recent publications explore topics like RPKI-based Tor relay selection, Mutual TLS certificate configurations, and Bluetooth traffic interception from health devices. Despite no explicitly listed scientific awards, Sun’s contributions to network security have advanced methodologies for detecting malicious DNS activities, securing vehicular networks, and improving threat prioritization systems. Their dual appointments reflect expertise bridging computer science and electrical engineering, emphasizing interdisciplinary approaches to cybersecurity.

Chuan Fohمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Wireless Communication Protocols
• 5G/6G Networks
• +۶ مورد دیگر

Dr Chuan Foh is a Senior Lecturer at the University of Surrey, affiliated with the Institute for Communication Systems within the School of Computer Science and Electronic Engineering. His research focuses on advanced communication protocols and performance analysis across diverse networks, including 5G/6G, vehicular networks, and satellite systems. He explores topics such as network security, federated learning, and reconfigurable intelligent surfaces to enhance communication efficiency and reliability. Dr Foh has contributed to over 50 peer-reviewed publications since 2015, with recent work addressing Open RAN vulnerabilities, NOMA-enhanced 5G protocols, and AI-driven network automation. His research interests span protocol design for wireless networks (e.g., IEEE 802.11bd, V2X systems), low-latency access mechanisms, and secure edge computing architectures. Collaborations involve industry standards bodies and academic institutions. He actively publishes in top-tier venues like IEEE Transactions and Vehicular Technology Conferences, with a focus on practical solutions for emerging telecom challenges. Key contributions include scalable resource allocation in MIMO-LEO satellite networks, ML-based fault detection in cellular systems, and energy-efficient UAV communication via RIS. His work bridges theoretical advancements with real-world deployment scenarios, emphasizing network security and automation in 5G/6G ecosystems.

Daniel Holcombمشاهده پروفایل

دانشیار

• Embedded Systems Security
• Hardware Security
• Formal Verification
• +۳ مورد دیگر

Daniel Holcomb is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst, part of the College of Engineering. He specializes in secure and reliable embedded systems, with research interests spanning embedded systems security, hardware security, formal verification, VLSI design, and cryptography. Education : B.S. Electrical & Computer Engineering, University of Massachusetts (2005) M.S. Electrical & Computer Engineering, University of Massachusetts (2007) Ph.D. Electrical Engineering and Computer Sciences, University of California, Berkeley (2013) His research focuses on mitigating hardware vulnerabilities in FPGAs and chiplet-based systems, including countermeasures against side-channel attacks, voltage attacks, and IP theft via reverse engineering. He has contributed to the development of secure design methodologies, PUF-based authentication, and fault-resistant cryptographic implementations. His publications highlight advancements in FPGA security, such as defeating memory protection units (MPUs), preventing trojan insertion during fabrication, and mitigating power distribution attacks in multi-tenant environments. Holcomb is an active member of IEEE and Tau Beta Pi Honor Society. Labs & Teams : His work aligns with the College of Engineering’s research strengths in hardware security, including collaborations with labs focused on embedded systems and VLSI design.

Carmen Guerrero Lópezمشاهده پروفایل

دانشیار

• Computer Networks
• Green Networking
• Peer-to-Peer (P2P) Systems
• +۴ مورد دیگر

Carmen Guerrero López is an Associate Professor at the Universidad Carlos III de Madrid (UC3M), affiliated with the Telematics Engineering Department within the Escuela Politécnica Superior. She holds a Telecommunication Engineering degree from the Technical University of Madrid (UPM) and a Ph.D. in Computer Science from the Universidade da Coruña (UDC). Her career includes roles as an assistant and assistant professor at UDC before joining UC3M in 2003. She has led research in green networking, social networking, P2P systems, content distribution, and network management. Her research focuses on distributed systems, hierarchical architectures, and service-oriented networks. Notable projects include work on H-p2psip for multimedia interoperability and OnMove for wireless delay-tolerant networks. She contributed to the EU-funded CONTENT NoE and BIOGRIDNET projects, emphasizing community networks and bioinformatics applications. Publications span journals like the International Journal on Internet Protocol Technology and conferences such as IEEE ICC and ACM CoNEXT. Teaching includes courses like Telematics and Advance Internet Architectures. She actively participates in professional activities, serving as a guest editor for Computer Networks and on TPC committees for multimedia and networking conferences.

• Network Architecture
• SDN/NFV Performance Evaluation
• QoE-Centric Network Management
• +۴ مورد دیگر

Thomas Erich Zinner is a Professor at the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU). He leads the Networking Group@IIK and has held roles including Head of the FG INET at TU Berlin and Head of the Next Generation Networks group at the University of Würzburg. He earned his diploma (2006) and PhD (2012) from the University of Würzburg. His research focuses on network eco-systems, performance evaluation of SDN/NFV architectures, QoE-centric management, and 5G/6G innovations. Key projects include TeraFlow, aiming to revolutionize SDN traffic management in beyond 5G networks. His work bridges network technologies, applications, and protocols, emphasizing optimization for emerging paradigms like software-based networking and adaptive video streaming. Recent publications address AI integration in 6G, 5G NR performance, and QoE-aware network slicing. He collaborates internationally, publishing in venues like IEEE Transactions and CNSM. His research addresses challenges in network determinism, inter-domain connectivity, and geo-distributed analytics.

Narasimha Reddyمشاهده پروفایل

استاد

• Computer Networks
• Storage Systems
• Multimedia Systems
• +۳ مورد دیگر

Narasimha Reddy is a Professor and Department Head in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Truchard Foundation Chair Professorship. He earned his B.Tech. from the Indian Institute of Technology, Kharagpur (1985), and M.S./Ph.D. in Computer Engineering from the University of Illinois at Urbana-Champaign (1987/1990). His research focuses on Computer Networks Storage Systems Multimedia Systems Computer Architecture Cybersecurity with notable contributions to hybrid storage systems, cybersecurity frameworks, and network protocols. Reddy has held roles such as Associate Dean for Research (2016-21) and received accolades including IEEE Fellow (2003), NSF Career Award (1996-2000), and multiple teaching excellence awards. His work spans 5 patents and includes leadership in projects like IoTAegis (IoT security), CATS (Twitter spam detection), and SCMFS (storage class memory filesystem). His awards reflect industry and academic recognition: Fellow, IEEE Computer Society Outstanding Professor Awards (1997-98, 2003-04) IBM Technical Achievement Award (1995) Reddy’s research integrates hardware-software co-design, cybersecurity resilience, and scalable storage solutions. He leads initiatives in cyber-physical systems and digital manufacturing assurance, bridging theoretical advancements with practical applications in industry.

• Computer Networks
• Edge Computing
• Digital Twins
• +۴ مورد دیگر

Armir Bujari is an Associate Professor at the Department of Computer Science within the Faculty of Science and Engineering at the University of Bologna. His research focuses on advanced networking, edge computing, digital twins, and blockchain applications. He holds a scientific disciplinary sector specialization in Information Processing Systems (IINF-05/A). Key research areas include: Edge and cloud computing architectures IoT and smart systems integration Blockchain-enabled data ecosystems Urban and industrial digital twins Disaster communication protocols Recent publications emphasize innovative solutions in federated learning, QUIC protocol optimization for satellite networks, and digital twin applications in logistics and smart cities. His work bridges theoretical advancements with practical implementations in 5G/6G networks, disaster response systems, and sustainable energy grids. Office location: 1st floor, Palazzina ex-scuderie, Viale Risorgimento 2, Bologna. Reception hours are typically Mondays 3-5 PM, with flexible scheduling via email.