Find Academic Supervisors

• Smart-grid cyber-security
• Computer networks
• Artificial intelligence methods
• +4 more

Robert Czechowski, PhD , is an Assistant Professor at the Faculty of Information and Communication Technology , Wrocław University of Science and Technology , Poland, stationed in the Department of Telecommunications and Teleinformatics . His office is located in building D-20, room 421, and he holds regular consultation hours on Tuesdays 14:00–15:00, Wednesdays 15:00–17:00, and Thursdays 13:00–15:00. His research portfolio is centred on securing the next generation of electrical power systems. Core interests include: Cyber-security architectures for smart grids and micro-grids Artificial-intelligence-driven intrusion detection and prevention systems (IDS/IPS) Network protocols and time-synchronisation security in SCADA environments Simulation of information flow in complex, dynamically reconfigurable networks IPv4/IPv6 network design and security policy enforcement in power-system automation Database and expert-system solutions for real-time energy-management and fraud detection Between 2014 and 2019 he authored or co-authored more than fifteen peer-reviewed works. The publications reveal a clear longitudinal trend: early work established foundational security policies and good-practice guidelines, while later studies pivot toward advanced AI/ML techniques for anomaly detection and risk quantification in smart-metering infrastructures. A recurring theme is the integration of communication-protocol security (IEC 61850, PLC, IPv4/IPv6) with higher-level cyber-physical risk governance. Scientific recognitions: None explicitly mentioned in the supplied text. Advising & Grant activities: The provided material does not list specific doctoral or master’s students, nor does it enumerate funded projects. Laboratories & Teams: He conducts research within the Department of Telecommunications and Teleinformatics, leveraging university laboratories and the wider ICT Faculty infrastructure, although no dedicated lab name is specified.

Ali GhorbaniView profile

Professor

• Cybersecurity
• Machine Learning
• Network Security
• +3 more

Dr. Ali Ghorbani is a Professor and Tier 1 Canada Research Chair in Cybersecurity at the University of New Brunswick's Faculty of Computer Science, where he served as Dean from 2008-2017. He is the founding Director of the Canadian Institute for Cybersecurity (CIC), established in 2016. Ghorbani holds BSc (Tehran), MSc (George Washington University), and PhD (UNB) degrees. With 42+ years in academia, his research spans cybersecurity, machine learning, adaptive systems, and critical infrastructure protection. Ghorbani has co-founded three cybersecurity startups (Sentrant Security, EyesOver Technologies, Cydarien Security) and co-invented four awarded patents. He has published 300+ peer-reviewed papers and supervised 250+ researchers. Professional roles include co-founding the National Cybersecurity Consortium (NCC) and serving as co-editor-in-chief of Computational Intelligence journal. Awards & Honors: Canada Research Chair in Cybersecurity Startup Canada Senior Entrepreneur Award (2017) RBC Top 25 Canadian Immigrants (2019) CAIAC Lifetime Achievement Award (2024)

Karen Butler-PurryView profile

Professor

• Power System Automation
• Smart Grid Security
• Distribution Automation
• +4 more

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.

Kelvin EricksonView profile

Professor

• Control Systems
• Factory Automation
• Programmable Logic Controllers
• +3 more

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.

Kaie Maennel, Agnė Brilingaitė, Linas BukauskasView profile

Researcher

• Cybersecurity Education
• Cyber Defense Exercises (CDX)
• Psychological Safety in Teams
• +4 more

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 ProcopiouView profile

Lecturer

• Artificial Intelligence
• Cybersecurity
• Sports Analytics
• +4 more

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
• +3 more

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
• +7 more

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 BabayView profile

Assistant Professor

• Distributed Systems
• Networking
• Resilient Systems
• +3 more

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.

Ina Berenice FinkView profile

Researcher

• Cybersecurity
• Network Security
• Industrial Communication
• +5 more

Ina Berenice Fink is a Researcher and PhD candidate at RWTH Aachen University's Chair of Communication and Distributed Systems. She holds an M.Sc. in Computer Science (2019) and is affiliated with both the Security and Privacy Group and Cyber-Physical Systems Group. Her work focuses on securing communication in critical infrastructure and industrial environments. She has served as a part-time lecturer at FH Aachen and actively contributes to teaching through seminars, labs, and thesis supervision. Notable awards include the 2020 Women’s STEM Award for her master’s thesis on in-network security and the 2019 Female Student Travel Award. Her research spans projects like VeN2uS (low-latency critical infrastructure communication), CONSENT (smart home security), and myneData/TRINICS. She has published extensively on topics including network monitoring, resilient smart grid communication, and industrial IoT security. Her work combines programmable networking, protocol evaluation, and cybersecurity frameworks to address real-world challenges in distributed systems. In teaching, she supervises bachelor’s/master’s theses on network emulation, industrial security, and programmable data planes. Her advising record includes over a dozen theses with topics ranging from starlink performance evaluation to secure industrial MUD frameworks. She collaborates across RWTH departments and external institutions, contributing to both academic conferences and applied security solutions.

• Network Security
• Cloud Security
• Software Defined Networking Security
• +6 more

Udaya Kiran Tupakula is an Associate Professor in the Department of Computing within the School of Computer, Data and Mathematical Sciences at Western Sydney University. With over two decades of research experience, his work focuses on cybersecurity with particular emphasis on network security, cloud infrastructure protection, and emerging technologies. He has established himself as a leading researcher through extensive collaborations, particularly with Professor Vijay Varadharajan, and has contributed significantly to securing virtualized environments and next-generation networks. Dr. Tupakula's research spans multiple critical areas in cybersecurity. His early work focused on fundamental security challenges like DDoS mitigation and TCP SYN flood attacks, evolving into more complex domains including Software Defined Networking security, cloud security architectures, and IoT protection. Recent research directions include AI security, privacy-preserving machine learning, and securing 5G infrastructure. His approach combines theoretical frameworks with practical implementations, often developing novel security architectures that address specific vulnerabilities in emerging technologies. Analysis of his publication trends shows a clear progression from traditional network security toward more sophisticated systems. His work has increasingly incorporated machine learning techniques for intrusion detection, expanded into industrial control systems security, and recently embraced AI safety challenges. The breadth of his research demonstrates adaptability to evolving security landscapes while maintaining focus on practical, implementable solutions rather than purely theoretical approaches. Dr. Tupakula has mentored numerous researchers who have become active contributors in the cybersecurity field. His collaborative approach is evident in the extensive co-authorship network spanning multiple institutions and countries. His research has been supported by various grants focusing on critical infrastructure protection, cloud security, and next-generation network security. His laboratory work focuses on practical security testing environments for SDN, cloud infrastructure, and IoT systems. Current research directions include securing AI systems from malicious use, enhancing privacy in federated learning environments, and developing more robust security frameworks for industrial control systems. The applied nature of his research ensures close alignment with real-world security challenges faced by industry and government organizations.

• Robotics
• Unmanned Aerial Vehicles
• Computer Vision
• +3 more

Ben Bartlett is a Researcher at the University of Limerick's School of Engineering, specializing in robotics and unmanned systems for environmental and infrastructure applications. His work bridges engineering innovation with practical solutions for challenging real-world environments. His research focuses on: Development of UAV systems for wildlife monitoring and offshore wind farm surveys Cooperative multi-robot path planning for bridge and infrastructure inspection Fault-tolerant control systems for inaccessible environments Maritime robotics using integrated aerial and surface vehicles Automated 3D reconstruction of unknown structures using LiDAR Analysis of his 2023-2025 publications reveals a consistent trend toward real-time, automated systems that balance wide-area coverage with high-resolution precision. His work demonstrates particular strength in adapting robotic systems to dynamic environments like offshore wind farms, aging infrastructure, and maritime settings, with emphasis on efficiency, safety, and cost-effectiveness through modular design and fault tolerance. Contact: Ben.Bartlett@ul.ie

Ashraf TantawyView profile

Senior Lecturer

• Cyber Physical Systems
• Artificial Intelligence
• Cyber Security
• +7 more

Dr. Ashraf Tantawy is a Senior Lecturer in the School of Computer Science and Informatics at De Montfort University (DMU), UK. He holds a PhD and MSc in Electrical Engineering from Vanderbilt University, USA, and has previously served as an Assistant Professor at Virginia Commonwealth University (VCU). His industrial experience includes roles at British Petroleum, Qatar Gas, and Schneider Electric, focusing on embedded and safety-critical systems. He is affiliated with the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI) at DMU. Education: Ph.D. in Electrical Engineering, Vanderbilt University, USA M.Sc. in Electrical Engineering, Vanderbilt University, USA Engineering Management, University of Manchester, UK, 2015 Dr. Tantawy's research lies at the intersection of Cyber Physical Systems (CPS), Artificial Intelligence, Cyber Security, and Data Science. His work emphasizes the development of AI-driven methods for securing CPS, including reinforcement learning for autonomous systems, safety-security co-design, and decision-making under uncertainty. Application domains include autonomous vehicles, drones, smart cities, and industrial automation. He teaches courses such as Embedded Systems, Cyber Physical Systems, AI for Cyber Security, and Industrial Automation. His recent publications demonstrate a strong focus on model-based and data-driven approaches to CPS security, attacker modeling, intrusion detection, and risk assessment. The research spans both defensive and offensive security strategies, with increasing emphasis on machine learning and adaptive control in complex systems. Scientific Awards and Certifications: Safety Instrumented Systems (SIS) Expert, International Society of Automation (ISA), 2015 Dr. Tantawy has secured and contributed to multiple externally funded research grants totaling over $1.5 million. As Principal Investigator (PI) and Co-Investigator (CO-PI), he has worked on projects funded by NASA, Commonwealth Cyber Initiative (CCI), Virginia Catalyst, and Commonwealth Center for Advanced Manufacturing (CCAM). His research leadership includes projects on adversarial attack detection in connected vehicles, smart city testbeds, renewable energy systems, and smart manufacturing. He is an active member of the IEEE and ISA, contributing to both academic and industrial advancements in secure and dependable systems. He is involved with the Cyber Technology Institute (CTI) and the Institute of Artificial Intelligence (IAI) at DMU, contributing to interdisciplinary research in cyber security and intelligent systems. These labs support projects in AI-driven security, autonomous systems, and industrial IoT, fostering collaboration across academia and industry.

• IT Security
• IoT Security
• Wireless Sensor Networks
• +3 more

Henri Ruotsalainen is a Researcher at the University of Applied Sciences St. Pölten (FH St. Pölten) , affiliated with the Institute of IT Security Research and the Department of Computer Science and Security . His work focuses on IoT security , wireless network protection , and sensor system resilience , with particular emphasis on LoRaWAN and critical infrastructure security . PhD in Technical Sciences (Dr. Techn.) from Vienna University of Technology (2011–2015) Diploma in Engineering (Dipl.-Ing.) from Helsinki University of Technology (2002–2010) Prior roles as University Assistant (Helsinki, 2007–2008) and Project Assistant (Vienna, 2011–2015) Ruotsalainen's research explores physical layer security for IoT, including radio-based key generation , supply voltage watermarking , and reactive jamming detection . His projects like LoRaKey and Substation Security aim to strengthen wireless communication integrity in industrial environments. Recent publications highlight trends in sensor network security and smart home vulnerabilities , with a focus on metadata differencing and attack countermeasures . Scientific contributions include: 15+ peer-reviewed articles in journals like Sensors and IEEE Transactions Participation in conferences including IEEE ETFA , ARES , and IT-SECX Development of security testbeds for LoRaWAN and critical infrastructure systems

Thomas G. ThomasView profile

Associate Professor

• Robotics
• Smart Grid Systems
• Hyperspectral Imaging
• +4 more

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.