جست‌وجوی استاد و پژوهشگر

Stanko Stankovمشاهده پروفایل

پژوهشگر

• Industrial Automation
• Process Control
• SCADA Systems
• +۷ مورد دیگر

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Shuo Yuمشاهده پروفایل

استادیار

• Health Analytics
• Interpretable Deep Learning
• Text Mining
• +۴ مورد دیگر

Shuo Yu is an Assistant Professor of Information Systems and Quantitative Sciences at the Rawls College of Business, Texas Tech University, and serves as the Wetherbe Professor in Management Information Systems. He directs the MIS Doctoral Program and teaches courses such as Big Data Security, Information Security, and Data Analytics Tools. Yu holds a PhD from the University of Arizona (Management Information Systems) and a BBA from Tsinghua University (Information Management). His research focuses on data science applications in healthcare analytics, cybersecurity, and e-commerce. Key areas include interpretable deep learning, text mining, and mobile health technologies. Notable projects include SilverLink, a smart home monitoring system for senior care using wearable sensors and machine learning. Yu’s publications span journals like MIS Quarterly and IEEE Transactions, emphasizing innovations in health profiling, fall prevention, and recommendation systems. His work integrates techniques such as Hidden Markov Models, Generative Adversarial Networks, and Bayesian networks. No scientific awards are listed. He is actively involved in advising doctoral students and contributes to the Association for Information Systems (AIS).

Sérgio Nunesمشاهده پروفایل

استاد

• Information Security
• Risk Management
• Cybersecurity
• +۳ مورد دیگر

Sérgio Nunes is a faculty member at Instituto Superior de Economia e Gestão (ISEG) , Universidade de Lisboa. He holds a Ph.D. in Information Systems Management (2018) and M.Sc. degrees in Information Technology and Information Security (2009). His academic career includes teaching roles in Cybersecurity , Information Technology , Big Data Analytics , and Information Systems Architecture for both undergraduate and graduate programs. Education Ph.D. in Information Systems Management (ISEG-UTL, 2018) M.Sc. in Information Security (Faculdade de Ciências da Universidade de Lisboa, 2009) B.Sc. in Computer Engineering (Universidade Autónoma de Lisboa, 2003) His research focuses on Information Security , Risk Management , and Human Factors in Cybersecurity . He has published extensively on these topics, including journal articles in Journal of Information System Security , book chapters, and conference proceedings. His 2019 systematic literature review on Information Security Risk Management has become a foundational reference in the field. Over the past decade, Nunes has supervised multiple Master's theses on topics including: Cybersecurity Risk Management , Supplier Cybersecurity Risks , CISO Function , and Security Policy Implementation . His work bridges academic research with practical application, evidenced by practitioner presentations at events like the CISO 360 Congress and InfosecWeek . He contributes to academic infrastructure through involvement in ISEG's research labs , including the Data Lab , Futures Lab , and Policy Lab . His publications reveal consistent focus areas: Risk Quantification , Security Governance , Human-Centric Cybersecurity , COBIT Frameworks , and ITIL-based Process Optimization .

• Grid Integration of Renewable Energy
• Power Systems
• Smart Grids
• +۳ مورد دیگر

Professor Mithulan Nadarajah is a Professor at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. from the University of Waterloo (Canada), and prior academic positions at the Asian Institute of Technology (Thailand) and the University of Peradeniya (Sri Lanka). His research focuses on Grid Integration of Renewable Energy (GIRE), with two main themes: Planning and Operational Planning of renewable energy integration. He has supervised 29 PhD students and 50 research masters, and secured over AUD 3.6 million in grants from ARC, Government of India, Indonesia, Malaysia, and industry partners. His work spans smart grids, power systems stability, and energy storage systems. He served as Director of HDR Studies (2019–2025) and coordinated regional energy initiatives at ASEAN and Asian countries. He is a Senior Member of IEEE and Editor for the American Institute of Mathematical Sciences journal. Education: Ph.D. (Waterloo, Canada), B.Sc. (Peradeniya, Sri Lanka), M.Eng. (AIT, Thailand) Research interests include renewable energy grid integration, power system stability, and distributed generation. Over 320 publications include 1 book, 8 book chapters, and impactful journal/conference papers. His international collaborations span ASEAN, Asia, and Europe. Current roles include leadership in HDR programs and energy policy research.

Karen Butler-Purryمشاهده پروفایل

استاد

• Power System Automation
• Smart Grid Security
• Distribution Automation
• +۴ مورد دیگر

Karen Butler-Purry is a Professor of Electrical & Computer Engineering at Texas A&M University, holding the Raytheon Company Professorship. She is affiliated with the Power System Automation Laboratory and the College of Engineering. Her research focuses on intelligent systems for power distribution automation, fault diagnosis, and renewable energy integration. She completed her B.S. at Southern University (1985), M.S. at UT Austin (1987), and Ph.D. at Howard University (1994). Her work emphasizes cyber-physical systems, smart grid security, and microgrid resilience. Recent research includes AI-driven grid restoration, cybersecurity frameworks for distribution systems, and self-healing shipboard power systems. She has pioneered methods for transformer lifespan prediction and unbalanced load management in distributed networks. Publications span over three decades, with notable contributions to IEEE journals and conferences. Her educational initiatives include the Texas A&M System AGEP Alliance and LSAMP programs, advancing underrepresented minority participation in STEM academia. She leads interdisciplinary projects at the intersection of power systems, machine learning, and equity-focused academic workforce development. Labs/Teams: Principal Investigator in the Power System Automation Laboratory, collaborating with industry partners like Raytheon. Active in curriculum development for digital systems education through initiatives like the Enrichment Experiences in Engineering (E³) program.

Konstantinos G. Arvanitisمشاهده پروفایل

استاد

• Electrification
• Automation
• Digitalization in Agriculture
• +۲۳ مورد دیگر

Konstantinos G. Arvanitis is a Professor in the Department of Natural Resources Management & Agricultural Engineering at the Agricultural University of Athens, affiliated with the Agricultural Engineering Laboratory. He holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens and has held diverse research and teaching roles across Greek institutions. Teaches courses on electrical engineering, sensors, automation, and AI in agriculture Supervised 2 PhD, 9 MSc theses, and guides 6 ongoing PhD projects Member of FEANI, EurAgEng, and IFAC Technical Committee (2000-2017) His research integrates IoT, machine learning, and cyber-physical systems into agricultural practices, focusing on precision agriculture and sustainability. He contributes to editorial boards of journals like Sensors and Energy , and has published over 342 technical works with significant citation metrics. His recent work explores quantum technologies, edge computing, and 3D printing in agricultural systems, emphasizing energy efficiency and educational innovation. He actively reviews for 130+ journals and conferences.

Kelvin Ericksonمشاهده پروفایل

استاد

• Control Systems
• Factory Automation
• Programmable Logic Controllers
• +۳ مورد دیگر

Dr. Kelvin Erickson is the Curators’ Distinguished Teaching Professor of Electrical and Computer Engineering and Undergraduate Coordinator at Missouri University of Science and Technology. He joined the faculty in 1986 and served as Department Chair from 2002 to 2014. His expertise spans control systems, factory automation, and programmable logic controllers (PLCs), with over 40 years of experience in industrial automation and process control. Education: PhD in Electrical Engineering, Iowa State University MS and BS in Electrical Engineering, Missouri University of Science and Technology (formerly University of Missouri-Rolla) Research Interests: Dr. Erickson focuses on manufacturing automation, PLC design and applications, advanced process control, and industrial control systems. He has authored multiple textbooks, including Programmable Logic Controllers: An Emphasis on Design and Application and Allen-Bradley PLCs: An Emphasis on Design and Application . Awards and Honors: International Society of Automation Fellow (2019) Curators’ Distinguished Teaching Professorship (2019) IEEE Region 5 Outstanding Engineering Educator Award (2015) Multiple UMR Outstanding Teacher Awards (1987–2015) Grants and Collaborations: He has led grants such as the Controls Laboratory Equipment project (co-PI with Jagannathan Sarangapani). His industry collaborations include work with Fisher Controls, Magnum Technologies, and Rockwell Automation. Labs and Affiliations: Dr. Erickson is affiliated with the Kent D. Peaslee Steel Manufacturing Research Center and serves as an ABET Evaluator and ETAC Commissioner.

Ezhil Kalaimannanمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Defense
• Cyber-Physical Systems
• +۸ مورد دیگر

Dr. Ezhil Kalaimannan is an Associate Professor in the Department of Cybersecurity and Information Technology at the University of West Florida, part of the Hal Marcus College of Science and Engineering. His work bridges academic research and national cybersecurity workforce development through active grant leadership and teaching in cybersecurity and computer science. Education: Ph.D. in Computer Engineering (Cybersecurity concentration), University of Alabama in Huntsville, 2014 M.S. in Computer Engineering, University of Alabama in Huntsville, 2009 B.E. in Electrical and Electronics Engineering, Anna University (Chennai, India), 2006 Dr. Kalaimannan's research spans cybersecurity, digital forensics, wireless networking, algorithmic theory, and cyber-physical systems with a focus on smart grids and IoT security. His work integrates theoretical models with practical defense mechanisms, emphasizing operational security and resilience. He is deeply involved in cybersecurity education and workforce development. His recent publications show a strong trend in securing critical infrastructure, particularly smart grids and IoT networks, using techniques such as state estimation, outlier detection, and secure cloud integration. The research often addresses real-time forensic analysis and resilient system design, published in high-impact journals like IEEE Access, Elsevier, and Springer. Scientific Awards and Recognition: While no specific awards are listed, Dr. Kalaimannan serves as co-PI on a $2.3 million NSF CyberCorps Scholarship for Service (SFS) grant titled “Argo Cyber Emerging Scholars (ACES),” which reflects significant recognition and funding support for his contributions to cybersecurity education and workforce development. Dr. Kalaimannan advises students and leads research initiatives in cybersecurity. He is actively involved in grant-funded projects aimed at building a national cybersecurity community of practice. His work supports both academic advancement and practical training for future cybersecurity professionals. While no specific lab or research group name is mentioned, his research in cyber-physical systems, digital forensics, and IoT security suggests active collaboration within UWF’s cybersecurity research ecosystem, likely involving graduate students and interdisciplinary teams focused on critical infrastructure protection and network defense.

• Cyber Security
• Blockchain
• Critical Infrastructure & Systems
• +۵ مورد دیگر

Dr. Shitharth Selvarajan is a Lecturer in Cyber Security at Leeds Beckett University, affiliated with the School of Built Environment, Engineering and Computing. He holds a PhD in Computer Science & Engineering from Anna University and completed postdoctoral research at the University of Essex, UK. With over seven years of teaching experience, he is an active researcher and educator in digital and network security domains. His research focuses on Cyber Security, Blockchain, Critical Infrastructure, SCADA systems, Network Security, and Ethical Hacking . He has contributed significantly to the field through over 100 international journal publications and 20 conference presentations. His doctoral work centered on SCADA network security, a critical component of industrial infrastructure protection. Dr. Selvarajan has secured and contributed to multiple funded research projects from international bodies, including the Ministry of Education in Ethiopia and Saudi Arabia. He holds four published patents in intellectual property rights and is a recognized expert in blockchain technologies, being a certified Hyperledger expert and blockchain developer. He is an active member of several professional organizations, including: IEEE Computer Society International Blockchain Organization And four other professional bodies He serves as a reviewer and editor for numerous international journals published by IEEE, ACM, Elsevier, Springer, IET, Wiley, MDPI, Hindawi, and others. His current teaching responsibilities include: Ethical Hacking and Penetration Testing (Level 4) Web and Network Security (Level 5) Digital Security (Level 6)

Tingting Liمشاهده پروفایل

مدرس

• AI for Cyber Security
• Automated Cyber Defence
• Diversification and Deception Strategies
• +۸ مورد دیگر

Dr. Tingting Li is a Lecturer (Assistant Professor) in Cyber Security at Cardiff University's School of Computing and Informatics and a member of the Centre for Cyber Security Research. She also holds an Honorary Research Fellow position at Imperial College London, reflecting her ongoing research collaboration. Her work bridges artificial intelligence and cybersecurity, with a focus on protecting critical systems such as cyber-physical systems (CPS), industrial control systems (ICS/SCADA), and autonomous vehicles. BEng (Hons) in Information Security, Xidian University, China MSc in Computing, Imperial College London PhD in Artificial Intelligence, University of Bath Dr. Li’s research interests lie at the intersection of AI and cybersecurity, particularly in automated cyber defense , diversification/deception strategies , and symbolic AI for knowledge representation . She investigates how AI can enhance the resilience of critical infrastructures through intelligent, adaptive defense mechanisms. Her recent work explores quantum-inspired reinforcement learning and machine learning models for proactive threat mitigation in complex systems. Her recent publications demonstrate a strong trend in applying advanced AI techniques—especially deep reinforcement learning, LSTM networks, and Bayesian models—to cybersecurity challenges in industrial and autonomous systems. These works span domains like IoT malware suppression, network diversity for ICS resilience, and automated compliance checking, reflecting a multidisciplinary approach combining security, AI, and systems engineering. Dr. Li has secured significant research funding, including a grant from the Alan Turing Institute (2024–2025) on AI safety in autonomous cyber defense, a RITICS/NCSC-funded project on diversity-based cybersecurity (2021–2022), and an EPSRC-funded project on metric-driven cybersecurity frameworks for critical national infrastructure (2021–2023). She actively supervises PhD students in areas including cybersecurity for autonomous vehicles, moving target defense, and cyber-physical system security. Her team includes Iryna Bernyk, Sanyam Vyas, Victoria Marcinkiewicz, Ellis Doran, Stephen Morris, and Sam Braithwaite. She also leads teaching modules on databases (CM6125/CM6625) and cybersecurity (CM6224/CM6724). Dr. Li’s research is conducted within the Centre for Cyber Security Research at Cardiff University, where she collaborates with experts in AI, security, and critical infrastructure protection. Her work is highly interdisciplinary, involving partnerships with institutions like Imperial College London and funding bodies such as EPSRC, NCSC, and the Alan Turing Institute.

Kaie Maennel, Agnė Brilingaitė, Linas Bukauskasمشاهده پروفایل

پژوهشگر

• Cybersecurity Education
• Cyber Defense Exercises (CDX)
• Psychological Safety in Teams
• +۴ مورد دیگر

Dr. Kaie Maennel, Dr. Agnė Brilingaitė, and Linas Bukauskas are cybersecurity education researchers who have co-authored studies on multidimensional approaches to Cyber Defense Exercises (CDX). Their work emphasizes integrating psychological safety , intrinsic motivation , and cognitive agility into cybersecurity training frameworks. They have contributed to understanding how behavioral aspects and educational theory can enhance technical skill development and team coordination during large-scale exercises like Locked Shields and Amber Mist. Key areas of focus include: Applying Self-Determination Theory (SDT) to improve participant motivation and learning outcomes. Developing adaptive performance metrics that evaluate non-technical skills such as communication and decision-making under stress. Advancing slow education techniques to scaffold technical and soft skill development in cyber operators. They have secured significant funding through the EEA Grants project ADVANCES , which aims to personalize cybersecurity competence development. Their research has been published in journals like Computers & Security and International Journal of Cyber Warfare and Terrorism , influencing pedagogical practices in hybrid cybersecurity exercises and incident response training.

Andria Procopiouمشاهده پروفایل

مدرس

• Artificial Intelligence
• Cybersecurity
• Sports Analytics
• +۴ مورد دیگر

Dr. Andria Procopiou is a Lecturer in Artificial Intelligence and Cybersecurity at the University of Central Lancashire Cyprus, serving as Course Leader for the MSc Computing program and Deputy Course Leader for the MSc Cybersecurity. She holds a PhD in Computer Science (City, University of London, 2022), an MSc in Human-Computer Interaction (University College London, 2014), and a BSc in Computer Science (University of Surrey, 2013). Her research spans AI applications in sports analytics, cybersecurity for smart cities/IoT, hate speech detection, and metaverse safety. She has led modules in User Experience Design, Penetration Testing, and Cybersecurity. Research interests include AI-driven solutions for sports injury prediction, real-time DDoS detection in IoT networks, and ethical challenges in the metaverse. Her work emphasizes explainable AI (XAI) for transparency in decision-making systems. She has published extensively in journals like Wireless Communications and Mobile Computing and conferences such as IEEE CYBER and the International Conference on Human-Computer Interaction. Education: PhD Computer Science (City University London), MSc HCI (UCL), BSc Computer Science (University of Surrey) Key Roles: Course Leader (MSc Computing), Deputy Course Leader (MSc Cybersecurity) Administrative Contributions: Module leadership in AI, Cybersecurity, and Digital Forensics Her recent publications address critical issues like privacy concerns in smart campuses, gender-based hate speech in virtual spaces, and injury patterns in professional football using data analytics. She collaborates with industry on IoT security solutions and metaverse governance frameworks.

• Cybersecurity
• Critical Infrastructure Security
• Reinforcement Learning
• +۳ مورد دیگر

Laszlo Tibor Erdodi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering . His research focuses on cybersecurity in critical infrastructure, reinforcement learning for penetration testing, and vulnerability exploitation in power grid systems. Erdodi collaborates with institutions like CIGRE and IEEE on projects evaluating security of wide-area monitoring systems and industrial control systems. Key research areas include advanced persistent threats (APT) targeting power grid substations, stealthy data integrity attacks on critical infrastructure, and the application of reinforcement learning to simulate cyber-attacks (e.g., SQL injection and CTF challenges). His work often involves hardware-in-the-loop testbeds to assess vulnerability mitigation strategies in real-world scenarios. Publications emphasize cybersecurity for industrial control systems, penetration testing methodologies, and ethical hacking frameworks. Notable contributions include studies on IEC 61850/60870-5-104 protocol vulnerabilities, PTP timing attacks in substations, and lightweight IoT security solutions (e.g., LIST framework). Erdodi’s work bridges theoretical cybersecurity models with practical implementation, addressing challenges in both academic and industrial sectors. He contributes to conferences like IEEE PES ISGT Europe and CIGRE symposiums, focusing on resilient critical infrastructure design and automated threat detection systems.

• Cybersecurity
• Internet of Things (IoT)
• Blockchain
• +۷ مورد دیگر

Amar Kumar Seeam is a Lecturer at the Mauritius Campus of Middlesex University. He holds a PhD in Building Simulation and Predictive Control from the University of Edinburgh (2015). His research spans cybersecurity, IoT, smart cities, eHealth systems, and public administration innovations. He has led projects on blockchain-based healthcare systems, augmented reality control platforms, and cyber deception frameworks for IoT-edge networks. Notably, he contributed to pandemic response initiatives like ventilator prototyping during the 2020-21 crisis and developed disinfection technologies using visible light. He co-founded the Centre for African Smart Public Value Governance (C4SP), focusing on policy innovation in African urban development. His work integrates interdisciplinary approaches, combining technical systems with societal impact analysis. Education: PhD in Building Simulation (University of Edinburgh, 2015) Key Projects: MRIC/IEEE-funded multi-purpose light disinfection chamber Smart tourism chatbot for Mauritius Cybersecurity frameworks for IoT and SCADA systems Research Interests: Cyber-physical security, AI in education, blockchain healthcare systems, and sustainable energy management. His work emphasizes practical applications in developing regions, such as Mauritius and Africa, focusing on scalable solutions for public infrastructure and digital governance. Recent articles highlight trends in AI-driven education tools, cultural governance in multicultural projects, and IoT security protocols. His contributions span conferences like IEEE, ACM, and Edward Elgar Publishing, addressing both technical and policy-oriented challenges in emerging technologies.

Amy Babayمشاهده پروفایل

استادیار

• Distributed Systems
• Networking
• Resilient Systems
• +۳ مورد دیگر

Dr. Amy Babay is an Assistant Professor at the University of Pittsburgh’s School of Computing and Information, with joint appointments in the Department of Informatics and Networked Systems and the Department of Computer Science. She holds a PhD (2018) and MSE (2014) in Computer Science from Johns Hopkins University, along with a BA in Cognitive Science (2012). Her research focuses on distributed systems and networking, emphasizing resilient critical infrastructure and next-generation internet services. Notable projects include the Spire intrusion-tolerant SCADA system for power grids and structured overlay networks for low-latency applications. Her work has been recognized with awards, including the Best Paper at IEEE ICDCS 2017. Babay’s research also explores technology’s role in community resilience and cybersecurity challenges in smart cities. She teaches advanced distributed systems, networks, and programming courses. Key contributions include the Spines overlay platform and Prime replication engine. Her lab, RSSLab, actively develops solutions for resilient infrastructure and cybersecurity threats. Publications span topics like intrusion-tolerant systems, epidemic modeling, and network resilience. She collaborates with institutions like Sandia National Labs and Hawaiian Electric Company. Contact: babay@pitt.edu, located at 701B Information Sciences Building.