جست‌وجوی استاد و پژوهشگر

Sudharrman Jayaweeraمشاهده پروفایل

استاد

• Cognitive Radios
• Cooperative Communications
• Machine Learning
• +۶ مورد دیگر

Sudharman K. Jayaweera is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico , where he directs the Communications and Information Sciences Lab (CISL). His career spans roles as Associate Chair and Graduate Program Director (2014-2015), Faculty Fellow at Kirtland Air Force Research Lab (2009-2011), and NRC Senior Fellow at the Naval Postgraduate School (2013). He founded Bluecom Systems and Consulting, focusing on telecom/satcom, machine learning, and autonomous systems. Research Interests include cognitive radios, machine learning in wireless communications, satellite communications, and smart grid security. His work emphasizes statistical signal processing, information theory, and autonomous systems. Recent publications highlight reinforcement learning for spectrum sensing, wideband cognitive radio optimization, and smart grid stochastic control. Scientific Awards include IEEE best paper awards, Fellow of EAI, and prestigious scholarships like the John Crowford Scholarship (Australia). He serves on editorial boards of IEEE Transactions in Vehicular Technology and EURASIP Journal on Advances in Signal Processing. Education features a PhD in Electrical Engineering from Princeton University (2003) and a BE (First Class Honors) from the University of Melbourne (1997). His lab, CISL, and collaborations with institutions like AFRL and NPS underscore his interdisciplinary impact.

Jagruti Sahooمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Dr. Jagruti Sahoo is an Associate Professor in Computer Science and Academic Program Coordinator for the Cybersecurity Program at South Carolina State University (SCSU), USA. Her research focuses on Internet of Things (IoT) , cybersecurity , machine learning , vehicular networks , and network functions virtualization . Ph.D. in Computer Science and Information Engineering from National Central University, Taiwan (2013) Postdoctoral research at University of Sherbrooke and Concordia University, Canada (2013-2016) Her research lab explores optimization, security, and privacy in IoT and cyber-physical systems, particularly in smart transportation and smart farming domains. She has published extensively in IEEE journals and conferences, with expertise in fog node placement, vehicular network protocols, and VNF management. Dr. Sahoo serves on technical program committees for major conferences (IEEE ICC, Globecom, CCNC, LCN) and as Associate Editor for IEEE Access . She is certified by CompTIA Security+ and contributes to professional organizations like ACM, N² Women, and Women in Cybersecurity (WiCyS).

Stefanos Papadakisمشاهده پروفایل

مدرس

• Software Defined Radio
• Cognitive Radios
• Radio Resource Management
• +۵ مورد دیگر

Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.

Usman Hadiمشاهده پروفایل

استادیار

• Wireless Communication
• 5G and Beyond 5G Networks
• Time Sensitive Networks
• +۷ مورد دیگر

Dr. Usman Hadi serves as an Assistant Professor in the School of Engineering within Ulster University's Faculty of Computing, Engineering and Built Environment at the Jordanstown campus. His academic trajectory includes a Ph.D. in Electronic Engineering from the University of Bologna (2020), followed by postdoctoral research at Aalborg University and industry experience as an External Research Engineer at Nokia Bell Labs in Denmark (2019-2021). His educational foundation comprises: PhD in Electronic Engineering, University of Bologna (2020) Master's in Digital Predistortion for Compensation of Nonlinearities in Radio over Fiber Links, University of Bologna Dr. Hadi's research spans cutting-edge domains in wireless communications and AI-driven networking solutions. His primary focus includes 5G/6G technologies, Time Sensitive Networks, Radio over Fiber systems, and machine learning applications in telecommunications. Recent work emphasizes AI-enhanced signal detection for MIMO systems, UAV-based communication frameworks, and IoT security architectures, with significant contributions to optical front-haul optimization and wireless sensor networks. Analysis of his publication record reveals a strategic emphasis on AI integration for next-generation wireless systems. Key trends include deep learning applications for MIMO detection in 6G networks, digital twin implementations for UAV fault detection, and secure IoT frameworks for drone communications. His work consistently bridges theoretical advancements with practical implementations in optical and wireless front-haul systems, particularly through the MADNI (Made in UU) drone platform. Notable recognitions include: Top 2% Cited Researcher designation for three consecutive years (2021-2023) Research and Impact Fund Award (2023) Dr. Hadi supervises two PhD students: Ms. Cara Rose (Department of Economy-funded, 2023-present) and Mr. M.Y. Daha (Vice Chancellor's Research Studentship, 2022-present). His active research portfolio includes drone-based climate resilience initiatives funded by the British Council (2025-2026) and IoT-driven cybersecurity frameworks supported by Innovate UK (2025), alongside participation in EPSRC-funded infrastructure projects. He leads the MADNI drone research platform, which integrates state-of-the-art 5G connectivity, object detection, and facial recognition capabilities. His laboratory maintains active collaborations with Nokia Bell Labs, University of Manchester, University of East Anglia, Manchester Metropolitan University, University of Texas, and Boise State University, focusing on next-generation communication technologies and sustainable development applications aligned with UN SDGs.

• Signal Processing
• Machine Learning
• Computer Engineering
• +۳ مورد دیگر

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

Dimitrios Kallergisمشاهده پروفایل

مدرس

• Cybersecurity
• Cloud/Fog/Edge Computing
• Ad-Hoc Networking
• +۲ مورد دیگر

Dimitrios Kallergis is a Lecturer in Net-Centric Systems and Cloud Computing at the University of West Attica's Department of Informatics & Computer Engineering since 2019. He holds expertise in cybersecurity, cloud/fog/edge computing, ad-hoc networking, cyber-physical systems, and IT law. His research bridges theoretical frameworks with practical applications in healthcare, transportation, and environmental systems. Kallergis has contributed to European Union Agency for Cybersecurity (ENISA) projects and serves as a guest editor for scientific journals and conference TPC member. Previously, he served as a Research/Teaching Associate (2000-2017) at the Piraeus University of Applied Sciences and coordinated student placement programs. He is also a visiting lecturer at the University of Piraeus and University of West Macedonia. His work emphasizes secure network protocols, resource allocation in healthcare networks, and IoT security. Key research trends in his publications focus on cybersecurity challenges in emerging technologies like EV charging systems, healthcare-oriented networks, and intelligent transportation systems. He integrates stochastic modeling (e.g., SPN) and policy-driven architectures to address security and efficiency in distributed systems. His advising and professional activities include technical coordination in EU-funded R&D projects and contributions to regulatory frameworks for IT systems. He actively engages in cross-border cloud security performance studies and hybrid cloud approaches for spatial data management.

Kay Römerمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Internet of Things
• Cyber-Physical Systems
• +۷ مورد دیگر

Kay Römer is Professor and Director of the Institute for Technical Informatics at Graz University of Technology, Austria. He previously held a professorship at the University of Lübeck, Germany, and was a senior researcher at ETH Zurich, where he obtained his doctorate in computer science in 2005. His research focuses on networked embedded systems, particularly in the domains of Wireless Sensor Networks, Internet of Things (IoT), and Cyber-Physical Systems. Key areas include wireless networking, operating systems, programming models, dependability, and deployment methodologies for large-scale embedded networks. The most recent publications reflect a consistent trend in dependable and scalable IoT systems, with emphasis on wireless protocols, fault tolerance, real-time operation, and system robustness. His work bridges theoretical innovation with practical deployment, often involving cross-layer design and energy efficiency. Associate Editor, IEEE Transactions on Mobile Computing Associate Editor, IEEE Transactions on Computers Program Co-Chair, ACM SenSys 2011 Program Co-Chair, ACM/IEEE IPSN 2013 Coordinator, EU FP7 FIRE Project RELYonIT Coordinator, TU Graz Excellence Project "Dependable Internet of Things" Kay Römer has advised multiple research teams and coordinated major international projects funded by the Swiss National Science Foundation, European Commission, German Science Foundation, German Federal Ministry of Education and Research, and the Austrian Federal Ministry of Science, Research, and Economy. He has delivered invited keynote talks and co-directed five international summer schools, demonstrating strong leadership in research dissemination and mentoring. He leads research activities within the Institute for Technical Informatics at TU Graz, focusing on dependable and secure IoT systems, with active collaborations across Europe and industry partners.

Matteo Neriniمشاهده پروفایل

عضو هیئت علمی

• Wireless Communications
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Matteo Nerini is a Postdoctoral Researcher at Imperial College London's Wireless Communications and Signal Processing Lab within the Faculty of Engineering. His work focuses on signal processing and machine learning applications for wireless communications, particularly in Beyond Diagonal Reconfigurable Intelligent Surfaces (BD-RIS) . He holds a Ph.D. (2024) and M.Sc. (2020) from Imperial College, and dual M.Sc. degrees from the University of Bologna (2020) and NTNU (2020). Visiting Researcher at Technical University of Munich (2023) Recipient of the Eryl Cadwallader Davies Prize (2025) for best PhD thesis His research explores advanced wireless systems including BD-RIS prototypes, analog computing with microwave networks, and optimization frameworks for reconfigurable surfaces. He has contributed to over 20 peer-reviewed publications and maintains active GitHub repositories on topics like 5G network slicing and BD-RIS design. Key technical areas include: RIS modeling and optimization Wideband OFDM communication systems Analog beamforming techniques Machine learning for network security His recent work emphasizes practical implementations of BD-RIS architectures and their impact on 5G/6G networks. Active collaborations involve both academic institutions and industry partners in wireless communication technologies.

• Satellite Networks
• Vehicular Ad-Hoc Networks
• IoT Networks
• +۳ مورد دیگر

Dr. Quynh Ngo is a Postdoctoral Research Fellow in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), within the Faculty of Engineering and Information Technology. Her research focuses on satellite networks, vehicular ad-hoc networks (VANETs), IoT networks, cybersecurity, and machine learning applications in wireless communication. She holds a PhD in Computer Science from La Trobe University (2023), an M.Sc. in Telecommunications from Vietnam National University (2016), a B.Sc. in Electrical Engineering from California State University (2013), and a B.Eng. in Mechanical Engineering from Vietnam National University (2008). Her doctoral thesis was nominated for the Nancy Millis Award for exceptional research. Her work addresses critical challenges in 6G satellite integration, including intersystem interference in GEO-LEO networks, Doppler shift mitigation, and spectrum sensing. She employs machine learning and deep reinforcement learning to optimize beam design, power allocation, and resource management. Dr. Ngo has been awarded scholarships and grants from NASA, the Norwegian-Vietnamese Industrial & Infrastructure Safety Consortium, and La Trobe University. She has over five years of teaching experience in electronics, communications, and cybersecurity, and actively serves as a reviewer for journals such as IEEE Transactions on Communications and conferences like the IEEE International Symposium on Communications and Information Technologies. Education: PhD in Computer Science, La Trobe University (2023) M.Sc. in Telecommunications, Vietnam National University (2016) B.Sc. in Electrical Engineering (Magna Cum Laude), California State University (2013) B.Eng. in Mechanical Engineering, Vietnam National University (2008) Key Research Themes: Satellite-terrestrial hybrid networks Intelligent non-terrestrial networks (NTN) Cybersecurity in wireless systems Machine learning for network optimization Awards: NASA-JPL Undergraduate Scholar La Trobe University Postgraduate Research Scholarship Net Zero Scholarship Advising & Grants: Focuses on funded projects related to vehicular ad-hoc networks, IoT, and non-terrestrial networks Experience in securing research grants and industry collaborations

Ravi Prakashمشاهده پروفایل

استاد

• 360-degree Video Streaming
• Wireless Networking
• Mobile Computing
• +۵ مورد دیگر

Ravi Prakash is a Professor in the Department of Computer Science and the Hobson Wildenthal Honors College at the University of Texas at Dallas. He holds a Ph.D. in Computer and Information Science from The Ohio State University (1996), with research focused on 360-degree video streaming, wireless networking, mobile computing, and distributed systems. His work addresses challenges in field-of-view prediction, edge caching, and coexistence of wireless technologies in unlicensed bands. He teaches courses ranging from discrete mathematics to advanced operating systems and internet policy. Education: Ph.D. (1996) and M.S. (1991) from Ohio State University; B.Tech. (1990) from Indian Institute of Technology, Delhi. Research Interests: 360-degree video optimization (caching, editing) Wireless MAC protocols (WiFi, cognitive radio) Mobile ad hoc networks (MANETs) Distributed system algorithms Legal/ethical implications of computing Professional Service: Co-chair (ICDCS 2025), General Co-chair (MASS 2025), IEEE Transactions on Mobile Computing associate editor, and UT Dallas Senate member. Awards: NSF CAREER Award (2001), multiple teaching excellence awards, and best paper recognitions. Labs/Teams: Active in wireless networking testbeds (ASSERT), mobile computing optimization, and 360-video streaming frameworks (CooPEC, 360RAT).

• Network Security
• Mobile Ad Hoc Networks (MANETs)
• Routing Protocols
• +۳ مورد دیگر

Mohamed Abdelshafy is an Assistant Professor at the CEES School of Science, Coventry University. His research focuses on network security, mobile ad hoc networks (MANETs), and routing protocols. He specializes in mitigating attacks such as blackhole and flooding attacks on MANET routing protocols like AODV and DSR. His work emphasizes secure cross-layer designs, multipath routing, and fault tolerance in wireless networks. He has contributed to protocols like the Cross-Layer Multipath Multichannel MAC for MANETs and reliable route migration in ad hoc networks. Abdelshafy's research trends center on enhancing network resilience against malicious activities, optimizing routing efficiency, and improving security mechanisms in dynamic environments. His publications span from 2001 to 2018, reflecting long-term engagement in wireless communication security and protocol analysis. No scientific awards or funded grants are explicitly mentioned in the provided texts. He has not listed advisees or students, though his research collaborations include co-authors like N. S. Mirza and P. J. B. King. No specific lab affiliations or teams are disclosed.

Adnan Rashidمشاهده پروفایل

استادیار

• Network Security
• IoT Protocols
• Low and Lossy Networks
• +۳ مورد دیگر

Adnan Rashid is an Assistant Professor in the Department of Electrical and Information Engineering at Polytechnic University of Bari. He holds a Ph.D. in Telecommunication and Telematics from the University of Florence and Master's/Bachelor's degrees in Computer Engineering and Computer Science from Pakistani institutions. His research focuses on: IoT network architectures and protocol design Security in low-power lossy networks (LLN) Cloud/fog computing integration Standardization of IPv6 performance metrics He actively contributes to IETF standardization efforts, particularly in the IPv6 Performance and Diagnostic Metrics (ippm) working group. His work on 6LoWPAN neighbor discovery protocols includes collaboration with ns-3 simulator developers. Recent publications address lawful interception architectures, intelligent reflecting surfaces for 5G/6G, and spectrum efficiency in cognitive networks.

Dheryta Jaisinghaniمشاهده پروفایل

استادیار

• Wireless Networks
• Mobile Computing
• IoT Systems
• +۳ مورد دیگر

Dheryta Jaisinghani is an Assistant Professor in the Department of Computer Science at the University of Northern Iowa (UNI), affiliated with the College of Humanities, Arts, and Sciences. They hold a Ph.D. in Computer Science from Indraprastha Institute of Information Technology. Their research focuses on wireless networks, mobile computing, IoT systems, and machine learning applications in health monitoring and smart environments. Research interests include wearable sensor systems for activity recognition (e.g., tooth brushing detection, sleep posture analysis), low-cost IoT solutions for healthcare, and network optimization in dense WiFi environments. Their work integrates machine learning with sensor data to address challenges in social behavior analysis, indoor localization, and industrial robotics. Recent publications (2021–2024) explore topics like flying IoT networks, socially distanced classroom systems, and neural networks for social interaction tracking. Their work emphasizes practical, unobtrusive technologies with applications in healthcare, education, and industrial automation. No scientific awards or grants are explicitly mentioned in the provided text. No advisees are listed, though their teaching includes wireless networks and mobile computing. No lab affiliations are noted.

Hannah Caoمشاهده پروفایل

مدرس ارشد

• Computer Networks
• Cyber Security
• Distance Learning
• +۴ مورد دیگر

Hannah Cao is a Senior Lecturer in Computer Science Education and Director of Online Studies at King's College London's Department of Informatics. She holds a PhD from the National University of Singapore and prior academic roles including Principal Lecturer at the University of Hertfordshire, Research Fellow at NUS, and Assistant Professor at Huazhong University of Science and Technology. She is a Senior Fellow of the Higher Education Academy (SFHEA). Her research focuses on Computer Networks (Future Networking, IoT Protocol Design, Quantum-based Mobile Ad Hoc Networks), Cyber Security (Authentication Protocols, IoT Security, Blockchain Applications), and Distance Learning (Online Pedagogy, Academic Integrity, E-Learning Security). She leads initiatives in cybersecurity education innovation, including leveraging AI and blockchain for threat intelligence and curriculum design. Recent work includes studies on post-pandemic education impacts, SDN/P4 protocol evaluation, and inclusive group assessment strategies. She contributes to interdisciplinary research hubs like the Trusted Autonomous Systems Hub and King's Cybersecurity Centre, focusing on trustworthy systems and FinTech intersections. Awards include SFHEA recognition for educational excellence. Her 80+ publications span peer-reviewed journals/conferences, with emphasis on network security, education technology, and protocol design.

Jinhua Guoمشاهده پروفایل

دانشیار

• Networking
• Vehicular Networking
• Data Center Networking
• +۵ مورد دیگر

Jinhua Guo is an Associate Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn's College of Engineering and Computer Science. He holds a Ph.D. from the University of Georgia and B.E./M.E. degrees in Computer Science from Dalian University of Technology. His research spans vehicular networking , mobile/cloud computing , cybersecurity , and optimization algorithms . His recent work focuses on data center energy optimization using neural networks, cache robustness in named data networks , and real-time task scheduling on multi-core processors . Earlier contributions include MAC protocols for vehicular networks and context-aware routing in VANETs . Scientific awards and grants include: NSF Grant (co-PI): Enhancing Pervasive/Mobile Computing Security Education (2014-2016) Amazon AWS in Education Grant (PI): 2012-2015 NSF Grant (PI): Mobile Computing Research for Automotive Applications (2005-2010) He has advised 14 graduate students, including: John P. Baugh (Ph.D., 2018) Vishal Singh (Ph.D., 2016) Jun Liu (Ph.D., 2015) Ryan Bankston (Ph.D. in progress)