جست‌وجوی استاد و پژوهشگر

Shamsad Parvinمشاهده پروفایل

استادیار

• Computer Science Education
• Wireless Communications
• Cognitive Radio Networks
• +۸ مورد دیگر

Dr. Shamsad Parvin is an Assistant Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo (SUNY), School of Engineering and Applied Sciences. Previously, she held positions as Assistant Professor at SUNY Morrisville and Postdoctoral Researcher at the University of New Mexico and New Mexico State University. She completed her PhD at the University of Electro-Communications in Tokyo, Japan, with MSc and BSc degrees from the University of Rajshahi, Bangladesh. Education: PhD, Electrical and Computer Engineering, University of Electro-Communications, Tokyo (2013) MSc, Information and Computer Engineering, University of Rajshahi (2006) BSc, Information and Computer Engineering, University of Rajshahi (2004) Research Interests: Dr. Parvin specializes in wireless communications, cognitive radio networks, routing protocols, machine learning applications in networking, and computer science education. Her work emphasizes energy efficiency, network stability, and security in mobile and sensor networks. Publications: Her 15 most recent articles focus on routing optimization, cognitive radio networks, and wireless sensor systems, with consistent themes of stability, energy efficiency, and adaptive protocols across dynamic network environments. Awards & Honors: Best Paper Presenter (IEEE UEMCON 2021) Best Research Paper Award (TriSaI2012) JT Scholarship (2008-2011) Multiple academic scholarships from Rajshahi University Advising & Grants: She currently advises nine MS students on projects involving machine learning, data science, and AI applications. Secured funding from the U.S. Department of Defense (2016-2018) and Japanese Ministry of International Affairs (2009-2013). Research Teams: Leads multiple MS project teams in areas like automated ML pipelines, crime prediction, accident analysis, and educational tools, demonstrating applied research in data-intensive computing.

Veselin Rakocevicمشاهده پروفایل

مدرس ارشد

• Multihop Wireless Networks
• Vehicular Networks
• Ad-hoc Networking
• +۵ مورد دیگر

Dr. Veselin Rakocevic is a Senior Lecturer in Electronic Engineering at City, University of London (post-merger with St George's). He holds a PhD in Telecommunications from Queen Mary, University of London (2002) and a Dipl-Ing in Electrical & Electronic Engineering from the University of Belgrade (1998). At City, he has served as Head of Department (2015-2018) and Associate Dean for Portfolio Development (since 2023). PhD: Telecommunications, Queen Mary, University of London (2002) Dipl-Ing: Electrical & Electronic Engineering, University of Belgrade (1998) His research focuses on multihop wireless networks , including optimal scheduling , dynamic clustering , cooperation mechanisms , and network self-organisation . Applications span vehicular networks , heterogeneous cellular networks , and energy network optimisation . Over 15 years, his publications demonstrate expertise in 5G/LTE-A protocols , VANET security , and transport-layer multipath tunneling . Recent article trends highlight 5G congestion control , machine learning for traffic identification , and game theory applications in rural wireless networks . He has supervised 12 PhD students with topics covering network optimization , QoS management , and mobile security . Major projects include REACH (EU-India rural broadband) and Wireless Networks for Moving Objects (EU COST Action).

David W. Petrمشاهده پروفایل

استاد

• Signal Processing
• Music Applications
• Multihop Wireless Networks
• +۵ مورد دیگر

David W. Petr is a Professor in the Department of Electrical Engineering & Computer Science (EECS) and Associate Chair for Undergraduate Studies at the University of Kansas (KU). He is affiliated with the Information and Telecommunications Technology Center (ITTC) at KU. BSEE from Southern Methodist University (1976) MSEE from Stanford University (1978) Ph.D. from University of Kansas (1990) His research spans signal processing for music applications, multihop wireless networks, network traffic modeling, performance analysis, and network resource management. He has also focused on enhancing student confidence in engineering education. Prof. Petr has received multiple teaching honors, including the Kemper Teaching Fellow and Sharp Professor of Engineering titles, as well as the Henry E. Gould Award for Undergraduate Engineering Advising. He is a Senior Member of IEEE and part of several honor societies. Kemper Teaching Fellow (2005) Sharp Professor of Engineering (2000-2002) Henry E. Gould Award (2013) Senior Member, IEEE Eta Kappa Nu Tau Beta Pi American Society for Engineering Education (ASEE) He worked at AT&T Bell Laboratories (1977-1986) on digital PBXs, speech coding, and packet networks, earning three patents. He served as a Visiting Professor at Tennessee State University (1983-84), Visiting Erskine Fellow at the University of Canterbury (2000), and Fulbright Scholar at TU-Graz (2016). He contributes to the Information and Telecommunications Technology Center (ITTC) at KU.

• 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.

• Wireless Communications
• Satellite Communication Systems
• Digital Inclusion
• +۳ مورد دیگر

Sidrah Javed is a Postdoctoral Research Associate in the Department of Engineering at Durham University , UK. She received her PhD in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST) in 2021, following a B.E. in Electrical (Telecommunication) Engineering from National University of Science and Technology (NUST) , Pakistan, in 2012. Her research focuses on modelling, design, and performance analysis of wireless communication systems , particularly satellite-aerial-terrestrial hybrid networks for mitigating digital inequality. She has contributed to interference management in hardware-impaired systems through asymmetric signal processing and improper Gaussian signaling, with applications in NOMA-based HAPS , SWIPT , and full-duplex relaying . Sidrah is actively involved in teaching, delivering Control and Signal Processing 3 (ENGI3391) and tutorial sessions for Radio and Digital Communications (ENGI47915) . Her work aligns with the Communications and THz research center at Durham University, which connects with the UN Sustainable Development Goals of reducing inequality and promoting sustainable cities.

Jaiprakash Nagarمشاهده پروفایل

پژوهشگر ارشد

• Wireless Sensor Networks
• Intrusion Detection Systems
• Machine Learning
• +۳ مورد دیگر

Jaiprakash Nagar is a Research Fellow at EURECOM, affiliated with the Department of Communication Systems. His research focuses on wireless sensor networks, intrusion detection systems, and machine learning applications. He explores challenges related to network coverage, connectivity, and security in both theoretical and applied contexts. His work emphasizes analytical modeling and machine learning techniques to enhance wireless network performance, particularly in scenarios involving boundary effects, shadowing environments, and k-barrier coverage for intrusion detection. Recent contributions include fuzzy optimization algorithms, probabilistic models, and deep learning frameworks to predict network parameters and security metrics. Key research themes: Wireless multihop networks, machine learning for network security, coverage analysis Methodologies: Gaussian processes, automated ML, enhanced optimization algorithms Applications: Border surveillance, intrusion path analysis, node localization Nagar's publications (2015-2024) demonstrate sustained contributions to modeling wireless network performance and developing intelligent systems for security and coverage optimization. His work bridges theoretical analysis with practical implementations in sensor network deployments.

• Edge Cloud Computing
• Terahertz Communications
• Satellite Communications
• +۳ مورد دیگر

Cao Vien Phung is a researcher at the Institute for Computer and Network Engineering, part of the Faculty of Electrical Engineering, Information Technology, Physics at Technische University Braunschweig, Germany. His work focuses on advanced communication systems including Edge Cloud computing networks, Terahertz (THz) communications, and Satellite communications. Current projects include: BMBF 6G-RIC Campus Network (2021-2025), DFG Metrology for Parallel THz Channels (2019-2025), and EU H2020 mF2C Fog-to-Cloud Ecosystem (2017-2020). Recent research publications highlight his contributions to RIS-assisted networks, throughput optimization in 6G systems, and THz communication coding techniques. Key technologies explored include UAV relays, interference graphs, digital twins, and network coding in IoT environments. Scientific achievements include receiving the BEST PAPER AWARD in 2022 for buffer sizing research in IoT devices. His work is part of broader efforts in wireless network optimization and future communication infrastructure development at TU Braunschweig.

Mai Abdelhakimمشاهده پروفایل

دانشیار

• Cybersecurity
• Cyber-Physical Systems
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Mai Abdelhakim is an Associate Professor at the University of Pittsburgh's Swanson School of Engineering, specializing in Electrical and Computer Engineering. Her research focuses on cybersecurity, cyber-physical systems, and artificial intelligence, particularly in designing secure and reliable IoT-enabled infrastructure. PhD in Electrical Engineering, Michigan State University MS and BS in Electronics and Communications Engineering, Cairo University Her work leverages stochastic analysis, information theory, and machine learning to address challenges in wireless communications and network security. She has published extensively on topics like multihop IoT networks, anomaly detection in autonomous vehicles, and robust image watermarking. Dr. Abdelhakim has received the University of Pittsburgh’s Innovation in Education award (2023) and serves as a Senior Editor for IET Communications since 2023. Her collaborations span cybersecurity, wireless systems, and machine learning applications in network reliability.

David Tipperمشاهده پروفایل

استاد

• Network Design
• Traffic Restoration
• Survivable Networks
• +۷ مورد دیگر

David Tipper is a Professor at the University of Pittsburgh's School of Information Sciences , where he also serves as the Director of the Graduate Telecommunications & Networking Program . He holds a secondary appointment in the Department of Electrical Engineering and has been affiliated with institutions such as Molde University College (Adjunct Professor II, 1998-2007) and Clemson University (Assistant/Associate Professor, 1987-1994). His industry experience includes roles at The MITRE Corporation and NASA's space shuttle mission simulator . Education: PhD and MS in Electrical Engineering (University of Arizona), BS in Electrical Engineering (Virginia Tech) Research Funding: NSF, DARPA, NIST, IBM, ARO, AT&T Professional Roles: Senior IEEE Member, Technical Program Chair (DRCN 2003), General Chair (DRCN 2009), Co-Guest Editor for Journal of Network and Systems Management and Telecommunication Systems Research Focus: Network design, survivability, security, and performance modeling. His work spans wired/wireless networks, smart grids, and adaptive network controls, with applications in 3G, ATM, IP/WDM, and vehicular networks. He developed a patent for real-time survivable virtual network provisioning. Recent Publications: Focus on smart grid security , cooperative sensor networks , 5G HetNets , and time-dependent queueing models . Collaborative work with researchers in Europe (Molde, Norway) and Asia (China, Japan) highlights global impact. Scientific Awards: NCR Outstanding Undergraduate Teaching Award (Clemson University) Outstanding Honors Professor citation Senior Member, IEEE Advising & Grants: Co-chaired four doctoral dissertations. Research supported by grants from NSF, DARPA, NIST, IBM, and AT&T. Labs & Teams: Affiliated with Pitt’s Research Council (2000-2004), Faculty Assembly and Senate Council (1997-1999), and Community Relations Committee (1996-1998). Served on multiple faculty search committees.

• Energy Efficient Networking
• Hardware Acceleration
• Cryptography Algorithms
• +۴ مورد دیگر

Dr. Xiaojun Wang is an Associate Professor at the School of Electronic Engineering, Dublin City University (DCU). He holds a BEng and MEng from Beijing University of Posts and Telecommunications (BUPT) and a PhD from Staffordshire University (UK). His research focuses on energy-efficient networking, hardware acceleration for packet classification/deep inspection, and cryptography algorithms. He has been instrumental in establishing China-Ireland academic collaborations, including the China-Ireland International Conference on Information and Communications Technologies (CIICT), and coordinated a successful joint Telecommunications Engineering program with Wuhan University (2006–2012). He is also a member of DCU's Entwine Research Centre. Key roles include Head of China Affairs at DCU (2002–2007), contributing to institutional partnerships. His technical work spans green energy solutions for networks, quantum computing protocols, and hardware-software co-design for cryptographic systems. He has led projects on edge computing security, vehicular communication optimization, and blockchain-based trust frameworks. Educations: BEng in Computer & Communications, BUPT (1984) MEng in Computer Applications, BUPT (1987) PhD in Engineering, Staffordshire University (1992) Affiliations: Member of Entwine Research Centre Former Head of China Affairs, DCU His recent publications emphasize secure edge computing, quantum steganography, and 5G resource orchestration. He has pioneered energy-efficient router architectures and contributed to standards for vehicular networks and blockchain trust systems.

Fatma Benkhelifaمشاهده پروفایل

مدرس

• Wireless Communication Systems
• 5G/6G Networks
• Internet of Things (IoT)
• +۹ مورد دیگر

Dr. Fatma Benkhelifa is a Lecturer in Telecommunications at Queen Mary University of London (QMUL) and a Honorary Research Fellow at Imperial College London. She specializes in wireless communication systems, 5G/6G networks, IoT, energy harvesting, and physical-layer security. Her research integrates mathematical modeling, stochastic geometry, and machine learning to optimize resource management and network performance. Dr. Benkhelifa holds a PhD in Electrical Engineering from KAUST (2017), an MSc from KAUST (2013), and a Polytechnician Engineering Diploma from Ecole Polytechnique de Tunisie (2011). Her work focuses on advancing low-power wide-area networks (LPWAN), LoRa systems, and secure communication protocols. She has contributed to spatiotemporal modeling, reinforcement learning applications, and energy sustainability in IoT. Dr. Benkhelifa serves as an Associate Editor for IEEE Communications Letters and Frontiers in Communications and Networks, and is a Technical Committee member for IEEE ICC, GLOBECOM, and WCNC conferences. Recent research highlights include analyzing LoRa network scalability under imperfect spreading factor orthogonality, developing energy-harvesting frameworks for self-sustainable IoT, and investigating security protocols for non-terrestrial FSO links. Her grants include projects on 6G physical-layer security and wireless-powered LoRa monitoring in nuclear environments. Dr. Benkhelifa supervises PhD students in Electronic Engineering and Computer Science, emphasizing self-motivated candidates with strong backgrounds in wireless communications and mathematical skills. She actively promotes international scholarships for students from China and Pakistan.

• Computer Networks
• Wireless Communication
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)

• Wireless Communications
• Massive MIMO
• UAV Networks
• +۵ مورد دیگر

David Gesbert is a Professor at Eurecom in Sophia Antipolis, France. His research focuses on advanced wireless communication systems, including Massive MIMO, UAV networks, federated learning, and 6G technologies. He has contributed extensively to channel prediction, beamforming optimization, and machine learning applications in wireless networks. His work spans theoretical analysis and experimental validation, addressing challenges in aerial communication, energy efficiency, and network intelligence. Key areas include UAV-aided localization, cooperative satellite-RIS beamforming, and environment-aware communication frameworks. Research interests emphasize wireless systems, signal processing, and machine learning integration. Notable projects include optimizing UAV trajectories for IoT networks, enhancing 5G connectivity for aerial highways, and developing efficient federated learning strategies for distributed networks. His contributions bridge theoretical advancements with practical implementations, particularly in dynamic environments and future communication architectures. Core Expertise: 5G/6G, Massive MIMO, UAV Networks, Federated Learning Key Projects: Channel quality prediction via ML, RIS-enabled beamforming, global channel charting Impact: Over 400 publications, with focus on scalability and real-world applicability

• Probability and Statistics
• Signal Processing (Images/Video)
• TCP Modeling/Ad hoc Networking
• +۳ مورد دیگر

Riedi Rudolf is a Full Professor at the Haute école d'ingénierie et d'architecture de Fribourg, affiliated with the iSIS Institute for Intelligent and Secure Systems. His primary role involves academic leadership in telecommunications and signal processing education. His research focuses on wireless network capacity, network coding limitations, and stochastic processes with a focus on fractal/multifractal systems. Key projects include co-leading a CHF 167k project (2011-2013) on predictive caching for time-series storage and collaborating on a CHF 220k metadata mining initiative (2009-2012) involving data mining and cryptography. His work bridges theoretical foundations (e.g., Brownian motion properties) with applied telecommunications solutions like pathChirp bandwidth estimation tool. Received Best Student Paper Award for pathChirp research Published extensively in IEEE Transactions and Wiley's Encyclopedia of Environmetrics

• Parallel and distributed processing
• Massively parallel systems
• Computer architecture
• +۴ مورد دیگر

K. Wendy Tang is an Associate Professor and Associate Chair in the Department of Electrical and Computer Engineering at Stony Brook University, affiliated with the College of Engineering and Applied Sciences. She also serves as the Associate Provost for Online Education. Her research focuses on parallel and distributed processing, computer architecture, neural networks, and wireless sensor networks. Her academic career includes advising PhD students such as Mahdin Mahboob Divith A. Babu and former advisees like Dongsoo Kim (Microsoft) and Jaewook Yu (Intel Labs). She has published extensively on graph theory applications in communication networks, including works on Borel Cayley Graph topologies and routing protocols. Notable contributions include the 'Best Paper Award' at the 1997 IEEE International Performance, Computing, and Communications Conference. Key Research Themes: Distributed systems, network topology design, and algorithm optimization Collaborations: Multidisciplinary work in healthcare (e.g., speech recognition for disabilities education) and robotics. Her recent articles emphasize scalable communication topologies for multi-agent systems and energy-efficient wireless sensor networks. She has pioneered graph-based resizing algorithms for ultrafast information distribution.