جست‌وجوی استاد و پژوهشگر

• Networking
• Distributed Systems
• Vehicular Ad-Hoc Networks
• +۳ مورد دیگر

Rui Manuel Pacheco Meireles is an Assistant Professor in the Computer Science Department at Vassar College since 2017. He is also a Researcher at the Instituto de Telecomunicações in Portugal. His research focuses on networking and distributed systems, particularly in Vehicular Ad-Hoc Networks (VANETs), aiming to enhance traffic safety, efficiency, and passenger entertainment through wireless vehicle communication. He holds dual PhDs from Carnegie Mellon University and the University of Porto, alongside an MS from Carnegie Mellon University. Education: PhD in Computer Science, Carnegie Mellon University PhD in Computer Science, University of Porto MS in Computer Science, Carnegie Mellon University Research Interests: Rui’s work emphasizes applied and experimental research, designing protocols, creating prototypes, and evaluating them in real-world environments. His primary focus is on vehicular networks, including Wi-Fi-based communication between vehicles and infrastructure. His contributions span network selection algorithms, throughput estimation, and geolocation-based sector selection for 802.11ad protocols. His research also touches on HTTP/2 performance analysis and testbed development like HarborNet. Publications: Rui has authored over 15 peer-reviewed articles, with recent work including Wi-Fi network diversity exploration and practical network selection protocols for vehicle-to-infrastructure communication. His 2016 paper on the LASP protocol won the Best Paper Award at IEEE VNC. Awards: Best Paper Award at IEEE Vehicular Networking Conference (VNC) 2016 Teaching: Rui teaches courses such as CMPU 203 (Software Design and Implementation) and has previously instructed data structures, algorithms, and computer networks courses at Vassar. He also shares teaching materials, including an introduction to Linux/Unix. Labs/Teams: Collaborates with the Instituto de Telecomunicações (Portugal) and has developed datasets for vehicular networks, including 802.11ad Wi-Fi datasets for infrastructure communication studies.

• Blockchain
• Internet of Things (IoT)
• Edge computing
• +۹ مورد دیگر

Abdelhakim HAFID is a Full Professor at the University of Montreal , affiliated with the Faculty of Arts and Science and the Department of Computer Science and Operations Research . He leads the LRC — Laboratoire de recherche en réseaux de communication and is a member of several research centers including CIRRELT (interuniversity research center on enterprise networks, logistics, and transportation), the Cyberjustice Lab , and talents (AI for cybersecurity lab). His research focuses on Blockchain security , IoT , edge and fog computing , intelligent transport systems , and network resource management . He has supervised over 30 graduate students and led/co-led numerous research projects funded by agencies like NSERC , FRQNT , and MITACS . Notable projects include Blockchain Evolution: Quantum-Resistant Security (2025–2031) and Design and Management of Fog Networks (2019–2026). His work spans vehicular networks , mobile cloud computing , and machine learning for network optimization . He actively contributes to cybersecurity initiatives, including IoT authentication frameworks and AI-driven solutions for judicial systems (e.g., Cyberjustice ). Key Projects : Quantum-Resistant Blockchain Security (2025–2031) IoT Authentication via Blockchain and Intelligent SIM (2022–2026) Fog Network Design (2019–2026) Grants : NSERC Discovery Grants MITACS Acceleration Fellowships FRQNT Team Research Grants His lab collaborations include CIRRELT (logistics & transport) and Cyberjustice (digital law), reflecting interdisciplinary strengths in both technical and societal domains.

Kemal Tepeمشاهده پروفایل

استاد

• Vehicular Networks
• Cognitive Radio
• Wireless Communication
• +۶ مورد دیگر

Professor Kemal Tepe is a faculty member in the Faculty of Engineering at the University of Windsor, specializing in wireless communication and information processing. His research focuses on vehicular networks, cognitive radio systems, and smart grid technologies. He leads the Wireless Communication and Information Processing Lab , where he develops solutions for autonomous driving systems, cybersecurity in vehicle-to-infrastructure communication, and spectrum sensing techniques. In 2016, he was awarded the Medal of Excellence by the Faculty of Engineering for his dedication and service. Tepe’s work bridges theoretical advancements and practical applications, addressing challenges in autonomous systems, machine learning for anomaly detection, and IoT security. His contributions include pioneering methods for detecting adversarial behavior in vehicular networks and improving spectrum utilization through probabilistic modeling. Collaborations with industry partners like Ford Motor Company and involvement in initiatives such as the Perspective Magazine automotive research highlight his industry-relevant research. His research interests span a wide range of domains including: Autonomous vehicle safety and communication protocols Cognitive radio networks and spectrum management Machine learning for network security and anomaly detection Wireless sensor networks and energy-efficient protocols Smart grid integration and communication architectures Tepe’s publications emphasize practical implementations, such as real-time routing protocols for wireless sensor networks and hardware designs for cognitive radio systems. His lab’s innovations have been showcased in industry-relevant platforms, demonstrating the real-world impact of his work.

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

Mian M. Hamayunمشاهده پروفایل

دانشیار

• Computer Science
• Transaction Level Modeling (TLM)
• MPSoC Simulation
• +۱۵ مورد دیگر

Mian M. Hamayun is an Associate Professor of Computer Science and Head of Subject Group at the University of Birmingham Dubai campus, part of the College of Engineering and Physical Sciences. He holds a PhD in System Modelling, Simulation & Virtualization from the University of Grenoble Alpes, France, and has academic qualifications from Joseph Fourier University and COMSATS Institute of Information Technology, Pakistan. PhD in System Modelling, Simulation & Virtualization, University of Grenoble Alpes, 2013 MS in Informatics (Parallel & Distributed Systems), Joseph Fourier University, 2009 MSE in Software Engineering (Gold Medalist), COMSATS, 2005 PGCHE, University of Birmingham, 2021 FHEA and SFHEA, University of Birmingham (2021, 2024) His research spans Transaction Level Modeling (TLM) , MPSoC simulation , cloud computing , virtualization , Internet of Things/Vehicles , edge AI , and TinyML . He focuses on performance estimation, binary translation, and system-level simulation for embedded and distributed systems. The recent publications reflect a strong trend in IoT and vehicular networks , secure telemedicine , cloud orchestration , and embedded system simulation . His work integrates virtualization with security, real-time constraints, and machine learning on edge devices. Senior Fellow of the Higher Education Academy (SFHEA), 2024 Fellow of the Higher Education Academy (FHEA), 2021 Dr. Hamayun has supervised multiple research students and contributed to projects involving fatigue detection, person re-identification, retinal image analysis, and secure surgery frameworks. He has taught core computer science courses including Operating Systems, Networks, Data Structures, Algorithms, and Functional Programming at both undergraduate and postgraduate levels. His prior roles include Assistant Professor at NUST SEECS, R&D Engineer in France, and Lecturer at IUT1. He leads research in virtual prototyping and edge intelligence at the Dubai campus, contributing to smart city and cognitive systems initiatives. His lab work involves hybrid simulation environments, secure automotive platforms, and distributed IoT systems.

Balázs Vargaمشاهده پروفایل

پژوهشگر ارشد

• Road Traffic Modeling and Control
• AI-based Traffic Flow Prediction
• Urban Traffic Simulation
• +۳ مورد دیگر

Dr. Balázs Varga is a Research Fellow at the Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics (BME). He holds a PhD in Transportation and Vehicle Sciences (2021) and an MSc in Vehicle Engineering (2015) from BME. His industry experience includes roles at AVL Hungary as a Software and Function Developer (2016–2018) and academic positions at Chalmers University of Technology (2015) and SZTAKI (2012–2014). Current Role: Research Fellow (2021–present) Teaching: Programming, Control Theory, Traffic Modeling (English language course) Research Interests: Varga specializes in road traffic modeling and control, focusing on AI-based traffic estimation and dynamic traffic management. His work integrates machine learning with mesoscopic and microscopic traffic simulation tools like SUMO to optimize urban mobility and reduce emissions. Projects: He leads the 2020–2024 national development project 'Dynamic, adaptive traffic control services and evaluation tools based on digitally connected data sources' (2019-1.1.1-PIACI KFI). This initiative leverages connected data sources for real-time traffic control and policy evaluation. Key Publications Trends: His recent articles explore topics such as graph neural networks for sensor placement, multiobjective control of emissions, and mixed-reality V2X testing. These works emphasize data-driven approaches, emission reduction, and simulation frameworks for autonomous vehicles.

Xiaoyan Hongمشاهده پروفایل

دانشیار

• Distributed Systems
• Internet of Things (IoT)
• Wireless Communications
• +۴ مورد دیگر

Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .

Farah Kandahمشاهده پروفایل

دانشیار

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

Farah Kandah is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University. Her research focuses on cybersecurity, IoT security, blockchain, trust management, and machine learning applications in networked systems. She leads initiatives in ethical hacking and quantum computing education, and has been awarded a $116K NSF grant to develop quantum computing curricula. Education: Ph.D. Computer Science, North Dakota State University M.S. Computer Science, University of Jordan B.S. Computer Science, The Hashemite University Research Highlights: Dr. Kandah's work addresses IoT security challenges through behavioral trust models, blockchain-based architectures, and machine learning-driven intrusion detection systems. She has pioneered hybrid testbeds like XiveNet and contributed to frameworks like Zero Trust+ and B2-C2 for scalable IoT security. Her research integrates hardware-software co-design principles to enhance resilience against advanced cyber threats. Grants & Awards: Recipient of a National Science Foundation grant (2023) for quantum education programs. Auburn's Cybersecurity programs under her contribution hold three National Centers of Academic Excellence designations (Cyber Research, Cyber Defense, Cyber Operations). Advising & Outreach: Advises the Auburn Ethical Hacking Club, which competes in national cyber competitions. Active in mentoring students through initiatives like the Computing Research Association's Outstanding Researcher Awards. Lab & Collaborations: Involved with the Center for Artificial Intelligence and Cybersecurity Engineering at Auburn. Research spans smart cities, connected vehicles, and secure SDN architectures.

Véronique VEQUEمشاهده پروفایل

استاد

• Wireless Networks
• Vehicular Networks
• Network Routing
• +۳ مورد دیگر

Véronique VEQUE is a Professor at CentraleSupélec, working within the L2S research laboratory. Her research focuses on networking technologies including wireless networks, vehicular networks, and satellite communications. She specializes in developing efficient routing protocols, mobility management systems, and energy optimization techniques for next-generation networks. Dr. Veque's current research examines flexible resource allocation in disaggregated RAN architectures, intelligent routing algorithms for dense WiFi networks, and predictive modeling for IoT congestion control. Her work combines theoretical modeling with practical implementations for telecommunications systems. Her publication record spans network architecture design, mobility modeling, routing optimization, and energy-efficient communication. Recent work has focused on Open-RAN functionality placement, Cloud-RAN resource allocation, and stochastic mobility modeling for urban environments.

Michel MAROTمشاهده پروفایل

استاد

• Networking
• Wireless Communication
• Performance Evaluation
• +۵ مورد دیگر

Professor Michel MAROT is affiliated with Telecom SudParis, where he holds the position of Professor in the NeSS department. His research focuses on networking, wireless communication systems, performance evaluation, smart grids, and machine learning applications in telecommunications. MAROT has contributed to advancements in vehicular networks (VANETs/V2V), IoT architectures (LoRaWAN), and energy-efficient protocols for wireless sensor networks (WSNs). He has led studies on coalition formation in smart grids, reinforcement learning for policy optimization, and network resource management in 6G systems. Key research areas include optimizing network performance through cross-layer design, improving QoS in mobile and vehicular environments, and deploying intelligent reflecting surfaces (IRS) for 6G. His work frequently addresses challenges in mobility management, collision avoidance, and energy efficiency in distributed systems. MAROT has co-authored influential papers in journals like Neurocomputing, IEEE Transactions on Smart Grid, and IEEE Open Journal of the Communications Society. His research group (SAMOVAR/NeSS) develops practical solutions for real-world networks, including cold chain monitoring systems using sensor networks and DNS-based optimizations for SCHC protocols. MAROT’s recent work explores machine learning embedded in LPWAN sensors and mobility-aware resource allocation in LoRaWAN.

• Distributed Systems
• Cybersecurity
• Data Privacy
• +۶ مورد دیگر

Ashiq Anjum is a Professor of Distributed Systems at the College of Science and Engineering. His research focuses on cybersecurity, privacy-preserving technologies, blockchain applications, machine learning, and IoT systems. He has contributed to advancements in distributed systems, vehicular networks (VANETs), smart grids, and federated learning frameworks. His work emphasizes integrating blockchain for secure data aggregation and leveraging AI techniques for data interpretation and privacy protection. Key research areas include secure communication in drone networks, privacy in vehicular systems using IOTA ledgers, and federated learning with differential privacy. He explores graph models for genomic data analysis and healthcare applications. His publications span journals like Elsevier Information Sciences , Future Generation Computer Systems , and Neurocomputing . Collaborations include projects on data imputation for environmental sensing, deep learning pipelines in cloud computing, and optimizing video analytics for smart cities. His work bridges theoretical computer science with practical applications in IoT, healthcare, and urban sustainability.

Riaz Ahmed Shaikhمشاهده پروفایل

دانشیار

• Privacy
• Security
• Trust Management
• +۷ مورد دیگر

Riaz Ahmed Shaikh is an Associate Professor in Computing Sciences at the University of East Anglia (UEA), affiliated with the School of Computing Sciences and the Cyber Intelligence and Networks research group. He holds a PhD from Kyung Hee University (2009) and completed a Postdoc at Université du Québec en Outaouais (2009-2012). Previously, he served as an Assistant and Associate Professor at King Abdulaziz University (2012-2022). His expertise spans Privacy, Security, Trust Management, Policy Validation, and IoT/VANET systems, with contributions to UN Sustainable Development Goals in education and technology. Education: Postgraduate Certificate in Higher Education Practice, University of East Anglia (2024) PhD in Computing Sciences, Kyung Hee University (2009) Research Interests: Dr. Shaikh focuses on securing next-generation networks, including IoT, IoMT, and vehicular systems. His work emphasizes trust management frameworks, intrusion detection, and privacy-preserving protocols. Recent projects include AI-driven anomaly detection and fog computing-based DDoS mitigation. He also explores authentication schemes and policy validation in distributed systems. Grants & Collaborations: Lead on Innovate UK-funded projects: SPARC (Connected Vehicles Security, 2025-2025) and AI-driven Medical IoT Trust Management (2024-2025) Collaborations across Europe, Asia, and North America in cybersecurity and networking Labs & Teams: Active member of the Cyber Intelligence and Networks group at UEA, leading efforts in secure IoT and vehicular systems. Engages in conference organization (e.g., Ambient Computing conferences) and peer-review roles for journals like IEEE Transactions on Consumer Electronics.

Pedro M. Ruiz Martinezمشاهده پروفایل

دانشیار

• Wireless Ad Hoc Networks
• Sensor Networks
• Mesh Networks
• +۶ مورد دیگر

Pedro M. Ruiz Martinez is an Associate Professor at the Department of Information and Communications Engineering (DIIC) within the Faculty of Computer Science at the University of Murcia, Spain. He served as Dean of the Faculty from 2013 and previously as Head of DIIC (2011-2012). Ruiz holds a Ph.D. in Telematics (2002) from the University of Murcia and has held research roles including Ramón y Cajal fellowship, visiting positions at ICSI Berkeley, UC Santa Cruz, and King's College London. Ph.D. in Telematics, University of Murcia (2002) Ramón y Cajal Research Fellow Visiting Researcher at ICSI, UC Berkeley Research Associate at UC Santa Cruz Visiting Fellow at King's College London His research focuses on efficient communication protocols for distributed and heterogeneous wireless networks , including VANETs , sensor networks , and mesh networks . Key contributions involve energy-efficient routing , multicast protocols , and gateway load-balancing mechanisms. He has received quality awards for the MARTA project and positive evaluation under Spain's I3 research trajectory program . Recent publications highlight trends in vehicular network optimization , mesh network resource management , and beaconless geographic routing for sensor networks. Awards include the MARTA project quality award and MEC I3 program recognition . Ruiz has advised numerous Ph.D. students including Juan A. Sanchez , Francisco J. Ros , and Rafael Marin , with research spanning VANET security , multicast routing , and energy-efficient protocols . He serves as guest editor for journals including Ad Hoc and Sensor Wireless Networks and International Journal of Smart Home . Professional roles include chairing IEEE INFOCOM 2011, ACM MobiCom 2008, and IEEE MASS 2012. Current teaching includes Wireless Networks (M.Sc.) , Networking Architectures , Mobile Computing , and Advanced Telematic Services at the University of Murcia.

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).

• Geodesy
• Geographic Information Systems (GIS)
• Spatial Modeling
• +۷ مورد دیگر

Rizwan Bulbul is a researcher at the Institute of Geodesy , Graz University of Technology (TU Graz), Austria. His work bridges geodesy, geographic information systems (GIS), and computational modeling. Research Interests : Bulbul's research focuses on geospatial modeling, artificial intelligence integration, and sustainable urban development. Key areas include smart tourism simulations, energy transition policy analysis, and off-road robotic navigation using machine learning. His work also addresses forest fire prediction uncertainty, vertical photovoltaic potential, and cattle tracking in alpine environments. Publications : His research spans spatial optimization, 3D city modeling, and semantic routing. Recent projects involve leveraging AI for tourism simulations and energy policy evaluation, demonstrating interdisciplinary applications of geospatial technologies. Contact : Email: bulbul@tugraz.at Office: TU Graz, Steyrergasse 30/I, Room ST01122