جستجوی استاد راهنمای دانشگاهی

Dr. Muhammad Amjad is a Lecturer in Computer Science at the University of Wolverhampton's School of Engineering, Computing and Mathematical Sciences. He holds a PhD from the University of Essex and is a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE. His expertise spans 6G, uRLLC, wireless communications, and cognitive radio networks. Prior roles include KTP Associate with SEA-KIT International and Tutor at Swansea University. Dr. Amjad's research focuses on advancing wireless communication technologies, including NOMA, 5G/B5G systems, and energy-efficient networks. Notable achievements include a Best Paper Award (2016) and Top Peer Reviewer recognition (2019). His work has been featured in prestigious venues like IEEE Transactions on Vehicular Technology and IEEE Communications Surveys & Tutorials. Key research themes: Non-Orthogonal Multiple Access (NOMA) in finite blocklength regimes Ultra-reliable low-latency communications (uRLLC) Cognitive radio networks and spectrum management Wireless sensor network algorithms Electric vehicle charging optimization Professional contributions include over 20 peer-reviewed publications, numerous conference presentations, and active engagement with industry through KTP collaborations. He currently supervises PhD candidates in wireless communication domains.

• Wireless Communications
• 6G Technology
• Ultra-Reliable Low-Latency Communications (uRLLC)
• +۵ مورد دیگر

Dr. Aliaksandr Novikau is an Associate Professor at the Department of Political Science and International Relations at the International University of Sarajevo, recognized as the best private university in Bosnia and Herzegovina. His academic journey includes a PhD and M.S. in Political Science and Environmental Policy from Northern Arizona University (USA). He specializes in energy security, environmental policy, and security studies, with a focus on Balkan and post-Soviet contexts. Research interests span energy policy reforms, sustainable development, cyber-infrastructure protection, and the intersection of energy and human security. His work has been published in journals like Democratization , Environmental Politics , and Energy Strategy Reviews . Notable projects include the Jean Monnet Module on European Energy Security and grants from the European Commission and U.S. Department of State. Recent publications highlight energy security dynamics in Bosnia, Turkey's regional energy ambitions, and the role of universities in advancing SDGs. Awards include the Jean Monnet Actions Grant and Muskie Fellowship. His research emphasizes linking academic innovation with policy implementation, particularly in transitional and conflict-affected regions.

• Environmental Policy
• Energy Security
• Security Studies
• +۴ مورد دیگر

Professor Sangarapillai Lambotharan is a Professor of Digital Communications and Head of the Signal Processing and Networks Research Group at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. He holds qualifications including BEng, PhD, DIC, PGCAP, and is a Senior Member of IEEE, Fellow of IET, and Fellow of the Higher Education Academy. His research focuses on advanced wireless communication technologies such as Massive MIMO, Cognitive Radio Networks, and Smart Grids, alongside Machine Learning, Data Mining, and Cyber Security. He has authored over 200 publications in top-tier journals and conferences. His work integrates machine learning with signal processing to address challenges in adversarial attacks, federated learning, and network optimization. Recent research emphasizes intelligent reflecting surfaces (RIS), OTFS satellite communications, and federated learning defenses against model poisoning. Prof. Lambotharan's contributions span theory development, algorithm design, and practical implementations in 5G/6G systems, UAV networks, and edge computing environments. He leads collaborative projects on secure communications, distributed intelligence, and blockchain-based network security mechanisms. Prof. Lambotharan's academic leadership includes editorial roles at IET Signal Processing and teaching Digital Signal Processing and Information Theory. His lab explores cutting-edge topics like RIS-aided systems, anomaly detection in IoT, and context-aware caching strategies for heterogeneous networks. Key achievements include pioneering work on Kalman filtering for channel estimation and game-theoretic solutions for resource allocation in cognitive radio networks.

• Massive MIMO
• Cognitive Radio Networks
• Smart Grids
• +۶ مورد دیگر

Demetrios Eliades is a Research Assistant Professor at the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He holds a Diploma in Electrical and Computer Engineering from Aristotle University of Thessaloniki, an MSc in Artificial Intelligence from the University of Edinburgh, and a PhD in Electrical Engineering from the University of Cyprus. His research focuses on Smart Water Networks, including water loss reduction, quality assurance, contamination response, and cyber-physical security. He develops open-source tools like the EPANET-MATLAB Toolkit and coordinates projects such as the Battle of the Leakage Detection and Isolation Methods (BattLeDIM) competition. His cross-disciplinary work extends to power systems, robotics, and archaeometry. Dr. Eliades has coordinated multiple European projects including Interreg SmartWater2020 and H2020 PathoCERT, and contributed to COVID-19 response through a national information management platform. His publications emphasize AI integration in water systems, contamination management, and infrastructure resilience.

• Smart Water Networks
• Water Quality Monitoring
• Cyber-Physical Security
• +۲ مورد دیگر

Dong Zhao is a Research Fellow at the KIOS Research and Innovation Center of Excellence, University of Cyprus. He holds a Ph.D. in Control Science and Engineering from Beijing University of Chemical Technology (2016) and a B.S. in Automation (2011). B.S., Automation, Beijing University of Chemical Technology, 2011 Ph.D., Control Science and Engineering, Beijing University of Chemical Technology, 2016 His research focuses on fault diagnosis , fault-tolerant control , two-dimensional systems , linear estimation , and active disturbance rejection control . Recent work emphasizes resilience in cyber-physical systems under cyber-attacks and advanced data-driven control methodologies. The 15 most recent publications highlight trends in distributed control for nonlinear systems, cybersecurity in industrial systems , soft sensing , and encrypted control systems . Topics include replay attack detection , deception attacks , and applications to power systems and quadcopters. Current affiliations include postdoctoral research at the University of Cyprus since 2018, following a postdoctoral fellowship at the University of Duisburg-Essen (2017–2018). Research is conducted at the KIOS Research and Innovation Center of Excellence.

• Fault diagnosis
• Fault-tolerant control
• Two-dimensional systems
• +۶ مورد دیگر

Mingxi Liu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Utah. His research focuses on control theory and optimization applied to power systems, smart grids, and cyber-physical systems. He holds a Ph.D. from the University of Victoria, Canada, and has held postdoctoral positions at UC Berkeley. Key roles include NSF CAREER Awardee (2022), NSERC Postdoctoral Fellow (2016), and NSERC Doctoral Scholar (2014). Education: B.Eng. (Harbin Institute of Technology, 2010), M.A.Sc. and Ph.D. (University of Victoria, 2012–2016) Research Interests: Scalable control frameworks for decentralized energy systems, privacy-preserving optimization, resilient microgrids, and grid-edge resource coordination. Active in IEEE Technical Committees, particularly in industrial cyber-physical systems. Grants: Includes projects like the ENERGIZING DINETAH microgrid initiative (2023–2025), CAREER Award-funded scalable grid-edge control (2022–2027), and EV charging infrastructure planning (2021–2025). Awards: Best Reviewer (IEEE Transactions on Smart Grid, 2019), Top 15% Teacher (University of Utah, 2020) Teaching: Courses include Linear Control Systems, State Space Control, and Special Topics in advanced control systems. Active in STEM outreach, including workshops for Navajo communities and incarcerated youth.

• Control Theory
• Optimization
• Power Systems
• +۵ مورد دیگر

Justin M. Pelletier is a Professor and Director of the GCI Cyber Range and Training Center at the Rochester Institute of Technology (RIT) within the Golisano College of Computing and Information Sciences . He teaches undergraduate and graduate courses in the Department of Cyber Security and leads security assessments for critical infrastructure and national defense partners. He founded the NSA-funded National Consortium for Cyber Governance, Risk, and Compliance. Education : BS in Computer Science (Stonehill College), MBA in Entrepreneurship (RIT), PhD in Information Assurance and Security (Capella University) Pelletier's research spans cybersecurity , penetration testing , security economics , and critical infrastructure protection . His work includes analyzing ransomware responses in nuclear power plants, blockchain attack taxonomies, and medical device vulnerabilities. His recent publications focus on cyber-physical systems , social engineering , voting infrastructure security , and business intelligence integration . He also explores e-learning user experiences and attacker behavior modeling. Professor Pelletier has authored over three dozen articles, book chapters, and patents. He is a Lieutenant Colonel in the U.S. Army Reserve, a combat veteran, and a lay member of the Dominican Order. He lives with his wife and five children.

• Cybersecurity
• Information Security
• Penetration Testing
• +۷ مورد دیگر

Dr. Muhammad Musthafa Roomi Sheik Fareed is a Research Fellow with expertise in Cyber-physical Systems and Cyber-security for Smart Grids. His work focuses on Digital Twin technology, Power Electronic Converters, and Power System Automation. He holds a Ph.D. in Electrical and Electronic Engineering from Nanyang Technological University, Singapore. Education Ph.D. in Electrical and Electronic Engineering, Nanyang Technological University, Singapore His research emphasizes enhancing security in smart grid systems through IEC 61850 standards and open-source tools like OpenPLC. Recent studies include analyzing false data injection attacks and developing robust control mechanisms for parallel generators in smart grids. His publications highlight contributions to both theoretical frameworks and practical case studies in industrial cyber-security. No scientific awards or grants are listed. He has not disclosed advising roles for students or affiliations with specific labs/teams in the provided text.

• Cyber-physical Systems
• Cyber-security for Smart Grids
• Digital Twin
• +۳ مورد دیگر

Dr. Harsha Kumara Moraliyage is a Lecturer in Business Information Systems at La Trobe University, specializing in AI and machine learning applications. He holds a PhD in Artificial Intelligence and Data Science from La Trobe and has over a decade of software development experience. His research focuses on AI-driven solutions for energy systems optimization, cybersecurity, healthcare informatics, and sustainable development. He leads the award-winning La Trobe Energy Analytics Platform (LEAP), contributing to the university's net-zero emissions target by 2029. Education: PhD in Artificial Intelligence and Data Science (La Trobe University), certifications in Deep Learning, TensorFlow, and AI from Coursera. Research Interests: Adversarial machine learning, natural language processing, time series forecasting, energy analytics, MLOps, AutoML, and AI ethics. Current projects include developing smart energy platforms, cybersecurity frameworks for energy systems, and empathetic AI tools for healthcare. Teaching: Teaches Master of Business Analytics courses such as Data Wrangling (BUS5DWR), Principles of Business Analytics (BUS5PB), and Artificial Intelligence and Hyperautomation (BUS5PR1). Focuses on designing curriculum to enhance AI literacy. Grants & Labs: Leads the LEAP project, a smart energy analytics platform, and collaborates on AI-driven solutions for net-zero carbon emissions. Active in interdisciplinary teams involving energy infrastructure, robotics, and telehealth. Future Work: Expanding research in generative AI for sustainable cities, explainable AI frameworks, and ethical AI integration in education and healthcare sectors.

• Artificial Intelligence
• Machine Learning
• Energy Systems Optimization
• +۴ مورد دیگر

Matthew S. Erie is an Associate Professor of Modern Chinese Studies at the University of Oxford's Oriental Institute, affiliated with the Faculty of Asian and Middle Eastern Studies and the Centre for Socio-Legal Studies. He holds dual appointments in the Law Faculty and is an Associate Research Fellow at the Socio-Legal Studies Centre. His interdisciplinary research bridges law, anthropology, and comparative studies, focusing on Asian legal systems with emphasis on China and Islamic legal frameworks. Education: J.D. and Ph.D. (details not explicitly stated in texts). Prior roles include positions at Princeton University, New York University Law School, and practice at Paul Hastings LLP in New York/Beijing. He currently leads the ERC-funded 'China, Law and Development' project examining China's cross-border legal strategies in international economic law. Research interests span Chinese law (property, constitutional, ethnic policy), Islamic law (familial/commercial aspects), and international law (dispute resolution, anti-corruption). Recent work includes A Casebook on Chinese Outbound Investment (2025) and China and Islam (2016), alongside contributions to journals like Harvard International Law Journal and American Ethnologist . Professional affiliations include the National Committee on U.S.-China Relations and co-chair of the American Society of International Law's Asia-Pacific Interest Group.

• Chinese Law
• Islamic Law
• International Law
• +۵ مورد دیگر

Michelle S. Chong is Assistant Professor in Mechanical Engineering at Eindhoven University of Technology, specializing in control systems theory with applications to cyber-physical systems security. Her research develops theoretical frameworks for estimation and control of hybrid/nonlinear systems, particularly addressing cybersecurity challenges in networked systems. Current projects focus on resilient state estimation under adversarial attacks, safe control synthesis, and data-driven methods for power systems. Chong collaborates internationally on cyber-physical-human systems security and teaches graduate courses on fault detection and secure control systems. She obtained her PhD in Control Theory and maintains active research collaborations across Europe.

• Control Systems Theory
• Cyber-Physical Systems
• Secure Estimation
• +۲ مورد دیگر

Dr. Jerry I. den Hartog is an Assistant Professor in the Security Group at the Department of Mathematics and Computer Science, Eindhoven University of Technology. His research focuses on data protection in collaborative systems, network situational awareness, intrusion detection, access control, trust management, and formal verification. He applies this work to critical infrastructure, industrial control systems, smart mobility, energy systems, and IoT. He joined TU/e in 2008 after completing his PhD and MSc at Vrije Universiteit Amsterdam, and has held research roles at CWI, TU/e, and the University of Twente. Academic Background: PhD and MSc in Formal Methods from Vrije Universiteit Amsterdam Research roles at CWI (Centrum Wiskunde & Informatica) and University of Twente Joined TU/e in 2008 to establish the Security Group Research Interests: Data protection mechanisms for collaborative systems Trust management and access control frameworks Intrusion detection in industrial and IoT systems Cybersecurity for critical infrastructure (e.g., power grids, healthcare networks) Projects and Grants: INTERSECT: NWA.1160.18.301 (Internet of Secure Things) SECREDAS GA 783119 (Security and Privacy in Data Fusion) Active projects in modular IoT architectures and cyber resilience Teaching: Courses include Automata and Formal Languages , Computer Networks and Security , and Verification of Security Protocols . Labs/Teams: Leads the Security Group within the Mathematics and Computer Science department, focusing on applied cybersecurity research with industry collaboration.

• Cybersecurity
• Data Protection
• Network Security
• +۶ مورد دیگر

Dr Chris Ballinger is Senior Tutor and Official Fellow at Exeter College, University of Oxford. He holds a DPhil in Politics from Oxford, following an MSc and undergraduate PPE degree at Queen’s College, all funded by the ESRC. His research focuses on British parliamentary systems, constitutional reform, and Australian political dynamics. Notably, he authored The House of Lords 1911–2011: A Century of Non-Reform (2012), analyzing institutional stagnation. He previously lectured at multiple Oxford colleges and advised parliamentary committees on constitutional reforms. As Senior Tutor, he oversees academic strategy, admissions, and postgraduate support, collaborating across Oxford and with regional outreach programs in Devon, Cornwall, and Somerset. His academic work bridges legal-political history with contemporary governance challenges, as seen in analyses of the Parliament Acts (1911/1949) and digital electoral systems. He maintains a strong focus on accessibility in higher education, working to dismantle barriers for underrepresented applicants. His interdisciplinary approach spans constitutional law, electoral psychology, and institutional evolution. Professional service includes secondments to the UK Parliament’s House of Lords Select Committee on Constitutional Reform (2004) and advising the House of Commons Standards Committee (2014–15). His work on compulsory voting and internet’s role in elections demonstrates his engagement with both historical and modern political challenges.

• British Politics
• Parliamentary Studies
• Constitutional Law
• +۳ مورد دیگر

Professor Jeremy Pitt is a Professor of Intelligent and Self-Organising Systems at Imperial College London, affiliated with the Department of Electrical and Electronic Engineering and the Faculty of Engineering. He leads the Intelligent Systems and Networks Group and the Computer-Supported Social Arrangements Laboratory (SALab). His research focuses on computational models of social processes, self-governance in socio-technical systems, and the ethical implications of technology. Pitt has published nearly 300 articles and secured over 30 grants, emphasizing interdisciplinary collaboration across computer science, political science, and philosophy. His work spans six key areas: computational sustainability, justice, self-governance, social construction, influence, and platform design. Notable contributions include formalizing Ostrom’s institutional design principles and Ober’s theories of classical democracy. As Editor-in-Chief of IEEE Technology and Society Magazine (2018–2023), he addressed societal impacts of technology, including editorials on 'Toxic Technology' and 'Futural Appropriation'. Pitt’s current research tackles re-empowerment architectures to address democratic backsliding and power asymmetries in the Digital Society. He collaborates with institutions like the Council of Europe and focuses on designing ethical AI, public interest technology, and sustainable socio-technical systems. Grants: Over 30 national/EU grants secured Labs: Intelligent Systems and Networks Group, SALab Affiliations: Artificial Intelligence Network, Centre for Cryptocurrency Research and Engineering Key Themes: Self-organisation, algorithmic governance, digital ethics, interdisciplinary policy

• Artificial Intelligence
• Self-Organizing Systems
• Computational Sustainability
• +۷ مورد دیگر

Tim Hansen is the Harold C. Hohbach Endowed Associate Professor at the Department of Electrical Engineering and Computer Science at South Dakota State University. He holds a B.S. in Computer Engineering from Milwaukee School of Engineering (2011) and a Ph.D. in Electrical Engineering from Colorado State University (2015). B.S. in Computer Engineering, Milwaukee School of Engineering, 2011 Ph.D. in Electrical Engineering, Colorado State University, 2015 Dr. Hansen's research focuses on electric power systems and markets , with a specialization in optimization, high-performance computing, and machine learning applied to cyber-physical-social systems. His work addresses critical challenges in grid stability, including virtual inertia implementation , multi-area inertia estimation , and low-inertia microgrid control , leveraging advanced computational techniques for energy management systems. He also investigates data-driven approaches for secure electric grids in communities impacted by climate change. Recent research trends include federated learning for grid analysis, model predictive control for voltage and frequency regulation, and computationally efficient inverter modeling. His publications emphasize converter-dominated power systems , energy storage applications , and smart grid technologies across multiple spatiotemporal scales. Scientific awards include: 2024 Outstanding Researcher Award, South Dakota State University Jerome J. Lohr College of Engineering 2022 Best Paper Award for AC Optimal Power Flow research 2020 Milwaukee School of Engineering Graduate of the Last Decade 2019 IEEE-HKN Teaching Award Multiple IEEE best paper awards (2017, 2016) Dr. Hansen directs grants totaling over $2 million, including: $357,467 (DOE SETO, 2024): Transmission/Distribution Systems with Flexible Coordination $750,000 (NSF, 2023): Secure Grids for Climate-Impacted Communities $978,708 (NSF, 2022): Heterogeneous HPC Cluster Development $630,897 (DOE, 2019-2021): Dynamic Response Modeling of Converter-Dominated Systems He chairs IEEE committees including Region 4 Siouxland Section Executive Committee and co-chairs the IEEE PES Research Committee, while advising the IEEE-HKN Honor Society.

• Electric Power Systems
• Optimization
• High-Performance Computing
• +۵ مورد دیگر