جستجوی استاد راهنمای دانشگاهی

Rune Hylsberg Jacobsenمشاهده پروفایل

استاد

• Energy Systems
• Drone Technology
• Blockchain Applications
• +۱۲ مورد دیگر

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks

Stefano Querمشاهده پروفایل

دانشیار

• Computer Science
• Electrical Engineering
• Formal Methods
• +۷ مورد دیگر

Stefano Quer is an Associate Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He holds a PhD in Electronic Engineering from the same institution and has been affiliated with DAUIN since 1996. Researcher (1996-2000) Associate Professor (2000-present) Visiting Faculty at UC Berkeley (1994-1995) Research Interests His work spans Formal Verification BDD/SAT Techniques Embedded Systems Hardware/Software Co-Verification Parallel Computing with applications in VLSI CAD, industrial IoT, and energy-efficient systems. Recent articles focus on GPU-accelerated graph algorithms, wireless sensor calibration, and AI-driven test optimization. Scientific Awards Best Paper Award, IEEE EURO-DAC'94 Academic Contributions Supervised PhD students Lorenzo Cardone and Andrea Calabrese Member of DATE, ICSOFT Technical Program Committees Topical Advisor for Sensors MDPI 60+ publications in IEEE/ACM venues

Jiuling Liمشاهده پروفایل

پژوهشگر ارشد

• Urban Water Management
• Automation Control
• Model Predictive Control
• +۹ مورد دیگر

Dr. Jiuling Li is a Research Fellow at the Australian Centre for Water and Environmental Biotechnology (ACWEB) within the Faculty of Engineering, Architecture and Information Technology at The University of Queensland. He received his Bachelor's degree in Automation from Harbin Institute of Technology, China, followed by a Master's (Research) of Engineering from the same institution, and completed his PhD at The University of Queensland in 2021. Dr. Li's educational background in automation engineering has uniquely positioned him at the intersection of environmental engineering and computer science. His multidisciplinary expertise bridges the gap between traditional water management practices and cutting-edge computational approaches, enabling innovative solutions to complex urban water challenges. His primary research focuses on urban water systems with specializations in real-time control, digital twins, smart monitoring, and real-time functional analysis. Dr. Li's work in model predictive control, real-time optimization, IoT sensor networks, and high-performance computing for sewer networks, water distribution systems, and wastewater treatment plants represents a convergence of environmental science and advanced computing. His vision for digital water management integrates cutting-edge data technology into the water industry while simultaneously advancing computing science through practical applications in water systems. Dr. Li's extensive publication record demonstrates significant contributions across environmental engineering and computer engineering disciplines. His research shows a clear trend toward increasingly sophisticated integration of artificial intelligence and machine learning techniques with traditional water management practices. Notable themes include the application of transformer networks, data-driven modeling, anomaly detection, and physics-informed learning to solve complex challenges in urban water infrastructure. Advance Queensland Industry Research Fellowship recipient for artificial intelligence-enabled sustainable protection of sewer infrastructures IWA Global Project Innovation Award (2024) winner for real-time control of chemical dosing in sewer networks Associate Editor of Water Research X Dr. Li actively supervises multiple PhD students across various water-related research topics including sewer corrosion, airflow modeling, groundwater interactions, wastewater-based epidemiology, and digital water management. His current research is supported by significant funding including the Advance Queensland Industry Research Fellowship (2025-2027) and ARC Linkage Projects (2024-2027) focused on artificial intelligence applications for sewer infrastructure protection and greenhouse gas emission reduction. His work is established through close collaboration with industry partners and professional organizations including IEEE and IWA. As part of the Australian Centre for Water and Environmental Biotechnology, Dr. Li contributes to a multidisciplinary research environment that combines engineering, environmental science, and computational approaches to address critical water challenges. His work on digital sewer systems represents a significant advancement in the application of real-time control and monitoring technologies to traditional water infrastructure.

• Cybersecurity
• Cloud Security
• Biometric Authentication
• +۵ مورد دیگر

Patrice CLEMENTE serves as a Lecturer at INSA Centre Val de Loire, France, affiliated with the LIFO research laboratory (Laboratoire d'Informatique Fondamentale d'Orléans). His academic work focuses on cybersecurity with emphasis on cloud infrastructure security, biometric authentication systems, and attribute-based access control models. His research trajectory spans two decades, evolving from foundational SELinux policy analysis and honeypot forensics (2004-2012) toward contemporary medical security applications. Recent publications demonstrate specialization in photoplethysmography-based biometric authentication and Internet of Medical Things security architectures, reflecting adaptation to emerging healthcare technology challenges. Methodologically, his work combines systematic literature reviews with practical security framework development. Analysis of his 25 HAL publications reveals consistent contributions to security policy specification, virtualization security, and intrusion detection systems. The 2023-2024 publications indicate a strategic shift toward healthcare security domains while maintaining core expertise in access control and threat modeling. Scientific awards: No specific awards or fellowships were documented in the source material. Advising and grants: The provided information contains no records of supervised students, doctoral committees, or secured research funding. Labs and teams: CLEMENTE operates within LIFO, a joint research unit of the University of Orléans and INSA Centre Val de Loire under CNRS supervision, focusing on fundamental computer science research with security as a primary pillar.

• Internet of Things (IoT)
• Edge and Fog Computing
• Network Security
• +۶ مورد دیگر

Amirhosein Taherkordi is an Associate Professor at the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His academic profile shows continuous research activity with publications spanning from 2011 through 2025, indicating an established career trajectory in computer science and networking research. Dr. Taherkordi's research interests focus on addressing fundamental challenges in distributed computing environments, particularly in resource-constrained scenarios. His work spans Internet of Things (IoT) systems, edge and fog computing architectures, network security protocols, and machine learning applications for network traffic analysis. He has made significant contributions to energy-efficient data collection protocols for wireless sensor networks, privacy-preserving techniques for industrial IoT systems, and communication-efficient approaches for federated learning in vehicular networks. His research consistently bridges theoretical innovation with practical implementation, addressing real-world challenges in smart transportation, environmental monitoring, and industrial automation systems. An analysis of Dr. Taherkordi's recent publication trends (2023-2025) reveals a strong emphasis on federated learning applications for vehicular networks (FedAGL, FedAPT), energy-efficient IoT data collection strategies (eU2U, ECMSH), and the integration of transfer learning with edge computing for transportation applications (TELEGAIT, FOGFLEET). His work increasingly addresses the critical tension between computational efficiency and accuracy in distributed systems, with growing applications in environmental monitoring (PmForecast) and circular economy frameworks. The interdisciplinary nature of his research spans computer science, electrical engineering, and environmental science domains. Dr. Taherkordi maintains an active collaborative research profile, working with international colleagues across multiple institutions as evidenced by his diverse publication venues including IEEE Transactions, ACM journals, and various conference proceedings. His research program appears to be well-established with consistent funding, though specific grant details aren't provided in the available text. He likely leads or contributes significantly to research groups focused on networking, IoT, and edge computing at NTNU, mentoring students in these emerging technology domains.

• Computer Networks
• Network Security
• Internet of Things
• +۳ مورد دیگر

Utz Roedig is a Full Professor of Computer Science at University College Cork (UCC), Ireland, and a Principal Investigator at the CONNECT Centre. Previously, he served as Professor at Lancaster University, UK, leading the Academic Centre of Excellence in Cyber Security Research (ACE-CSR), and held research positions at UCC and Darmstadt University of Technology, Germany. Education: Dipl.-Ing in Engineering from Darmstadt University of Technology Dr.-Ing (Doctor of Engineering) from Darmstadt University of Technology His research spans computer networks and network security , with over 150 publications in IoT security, industrial control systems, 5G networks, and voice assistant vulnerabilities. Recent work integrates machine learning for intrusion detection and fault prediction while addressing human factors in secure coding. Industry collaborations have yielded multiple patents. Analysis of 2023-2025 publications reveals dominant themes in industrial IoT security (e.g., resilient time-sensitive networking), 5G infrastructure protection, and voice assistant threats (wake word jamming/spoofing). His team develops countermeasures using protocol design and ML-driven anomaly detection, with growing emphasis on human-centric security challenges. Scientific Awards: No specific awards are documented, though research impact is evidenced by patents and sustained funding from major international bodies. Advising and Grants: Secured funding from EU, EPSRC, and industry partners. Serves as grant reviewer for EPSRC (UK), ESF (EU), and FWO (Belgium), and on TPCs for DCOSS, EWSN, and IPSN conferences. Student supervision details are unavailable, but research leadership implies active mentoring. Grants: EU, EPSRC, Industry Review Roles: EPSRC, ESF, FWO Labs and Teams: Leads research at UCC's CONNECT Centre (telecommunications security). Previously directed Lancaster University's ACE-CSR, a UK government-designated cybersecurity research hub.

Ivan Chorbevمشاهده پروفایل

استادیار

• Combinatorial optimization
• Heuristic algorithms
• Constraint programming
• +۵ مورد دیگر

Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering , Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects. Education B.Sc., Faculty of Electrical Engineering, Skopje, 2004 M.Sc., Faculty of Electrical Engineering, Skopje, 2006 Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009 Research Interests His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services. Publication Trends Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine , social media analytics , and assistive technologies . A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights. Scientific Awards Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation. Projects & Funding Risk Assessment for Customs in Western Balkans – FP6 COST IC0602 Algorithmic Decision Theory – management committee member (FP6) COST IC1002 MUMIA – management committee member (FP7) E-HFISN – e-Health applications using folksonomy & social networks (FP7) TEMPUS – Innovation and Knowledge Management toward eStudent Information System Laboratory & Team He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.

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.

Thomas G. Thomasمشاهده پروفایل

دانشیار

• Robotics
• Smart Grid Systems
• Hyperspectral Imaging
• +۴ مورد دیگر

Thomas G. Thomas is an Associate Professor in the Department of Electrical and Computer Engineering at the University of South Alabama , where he contributes to both undergraduate and graduate education in electrical and computer engineering disciplines. Education: Ph.D. Electrical Engineering, University of Alabama Huntsville (1997) M.S. Electrical Engineering, University of Alabama Birmingham (1987) B.S. Electrical Engineering, University of South Alabama (1984) B.S. Chemistry, University of South Alabama (1977) Research Interests: Dr. Thomas's work spans robotics , smart grid systems , hyperspectral imaging , neural networks , and cybersecurity for industrial control systems . His research often integrates advanced machine learning techniques with practical engineering applications, particularly in autonomous systems and educational technology. Publication Trends: His recent publications (2004–2024) demonstrate a strong focus on robotics , machine learning , and engineering education . Notable contributions include autonomous navigation systems, cybersecurity in SCADA/PLC networks, and innovative educational programs to enhance student retention in engineering. Teaching: He instructs courses such as Virtual Instrumentation , Programmable Logic Controllers , and Introduction to Robotics , fostering hands-on learning in electrical and computer engineering.

• Artificial Intelligence
• Internet of Things (IoT)
• Blockchain Technology
• +۷ مورد دیگر

MSc. Sinem Alturjman is a Lecturer in the Department of Artificial Intelligence Engineering at Near East University's College of Engineering. Her academic work focuses on the intersection of artificial intelligence, blockchain technology, and internet of things (IoT) systems. Research areas include: Development of AI-powered learning facilitators and educational tools Integration of blockchain for secure IoT architectures Optimization of mobile cloud computing services Application of machine learning in cybersecurity frameworks 6G communication systems with intelligent routing protocols Recent publications demonstrate expertise in: AI-enhanced scheduling mechanisms Decentralized cloud-IoT architectures Reinforcement learning applications Smart healthcare systems with blockchain Energy-aware routing protocols for sensor networks

Paolo Palmieriمشاهده پروفایل

مدرس ارشد

• Cryptography
• Privacy Enhancing Technologies
• Internet of Things Security
• +۴ مورد دیگر

Dr. Paolo Palmieri is a Senior Lecturer in Cyber Security at the University College Cork (UCC) , affiliated with the School of Computer Science & IT . He serves as a Funded Investigator in Insight and CONNECT research centers, Supervisor in ADVANCE and AI Centres for Research Training, and co-Investigator in DTIF-Holistics and SFI-Spoke on Blended Autonomous Vehicles . PhD in Cryptography (2013), Université catholique de Louvain Prior positions: Lecturer at Cranfield University and Bournemouth University (UK), Post-Doctoral Researcher at Delft University of Technology (Netherlands) Research spans cryptography, privacy, and security , with focus on: Secure multi-party computation Homomorphic encryption Location privacy mechanisms Spatial Bloom filters Smart city security Blockchain applications in IoT Recent publications highlight advancements in blockchain-based healthcare authentication , privacy-preserving vehicular networks , and homomorphic encryption for sentiment analysis . He chairs Malicious Software and Hardware in Internet of Things (Mal-IoT) and Location Privacy Workshop (LPW) . Active in PhD supervision , he currently advises students in cryptographic protocols for location-based services. Collaborates with Smart City Lab at the University of Bologna and participates in international research networks .

Bruce Dobkinمشاهده پروفایل

استاد

• Neurorehabilitation
• Stroke Recovery
• Neuroplasticity
• +۴ مورد دیگر

Bruce Dobkin, M.D. is a Professor of Neurology at the David Geffen School of Medicine, UCLA , and Director of the UCLA Neurological Rehabilitation and Research Program . He co-leads the UCLA Stroke Program and contributes to the UCLA Wireless Health Institute , Brain Research Institute , and CTSI (Clinical and Translational Science Institute). Research Focus: Neurorehabilitation, stroke recovery, spinal cord injury, neuroplasticity, wearable sensor technology, robotic-assisted rehabilitation. Awards: Honorary Fellow of the Royal College of Physicians (2005), multiple research awards including the Kenneth Viste Memorial Award and Furst von Donnersmarck Prize for lifetime achievement. Leadership: Editor-in-Chief of Neurorehabilitation and Neural Repair (since 2006), former Scientific Officer for Neural Repair at the Adelson Medical Research Foundation (2006–2009). Recent Publications highlight trends in sensor-integrated rehabilitation systems , plasticity assessment , stroke outcome metrics , and neurological applications of machine learning . His work bridges clinical trials , neuroimaging , and technology-driven rehabilitation . Scientific Awards & Leadership: Honorary Fellow, Royal College of Physicians, London (2005) Editor-in-Chief, Neurorehabilitation and Neural Repair (2006–present) Irwin Levy Lectureship (2006) Kenneth Viste Award (2006) International Furst von Donnersmarck Prize (2006) Grants & Collaborations: Directed NIH-funded trials like LEAPS and SIRRACT, focusing on locomotor training, wireless health, and stroke recovery across global populations. His lab develops sensor-based systems for real-time activity monitoring and outcome assessment.

Nhu-Ngoc Daoمشاهده پروفایل

استادیار

• Network Softwarization
• Mobile Cloudification
• Communication Security
• +۲ مورد دیگر

Nhu-Ngoc Dao is an Assistant Professor in the Department of Computer Science and Engineering at Sejong University , South Korea. With a focus on Network Softwarization , Mobile Cloudification , and Communication Security , Dao’s research bridges theoretical and applied aspects of Internet of Things (IoT) and Intelligent Systems . Education: Ph.D., Chung-Ang University (2019) M.S., Chung-Ang University (2016) B.E., Posts and Telecommunications Institute of Technology, Vietnam (2008) Dao’s research spans multi-access edge computing , deep reinforcement learning , and radio access networks . Their recent work includes trajectory optimization for UAV systems, energy-efficient routing protocols for IoT, and optimal control models for cybersecurity in heterogeneous networks. While no explicit scientific awards are mentioned, Dao maintains active research labs at PSHHLab and their personal website nndao.github.io , focusing on cutting-edge developments in communication systems and IoT security.

• Intelligent Transport Systems
• Location-Based Services
• Software and Hardware Integrated Navigation Systems
• +۷ مورد دیگر

Saleh Hadi Mohammed is an Associate Professor at the Faculty of Computer Science , National Research University Higher School of Economics (HSE), where he has worked since 2015. With over 10 years of academic experience, his expertise spans software engineering, blockchain systems, and intelligent transport technologies. Candidate of Technical Sciences (2013) Engineer in 'Computers, Complexes, Systems and Networks' (2008) Professional training in Moodle-based distance learning Research interests include: Intelligent transport systems and location-based services Software/hardware navigation integration and blockchain applications Cloud services, mobile app development, and MLOps platforms His recent publications analyze MLOps scalability, blockchain donation tracking, and AI-driven navigation for visually impaired users. Notable collaborations involve Springer, IEEE, and CEUR Workshop Proceedings. Scientific awards : Gratitude from HSE Faculty of Computer Science (2024) As a thesis supervisor , he has guided 15+ students in projects ranging from fraud detection to mobile education apps. He also leads SmartMLOps , HSE’s AI service deployment platform (2024), and participated in the Administrative Personnel Reserve Program (2024-2025).

Byung Moo Leeمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Byung Moo Lee is a Professor in the Department of Artificial Intelligence and Robotics at Sejong University, South Korea. He holds a Ph.D. in Electrical Engineering from the University of California, Irvine (2006), an M.S. (2003) in the same field from UC Irvine, and a B.S. (2000) from Hongik University, Seoul. His professional experience spans academia and industry, including roles at Samsung Electronics, Samsung Advanced Institute of Technology (SAIT), and KT Central R&D Center prior to joining Sejong University in 2016.