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Stavros KaramperidisView profile

Lecturer

• Maritime Economics
• Logistics and Supply Chain Management
• Sustainability in Shipping
• +4 more

Dr. Stavros Karamperidis is a Lecturer in Maritime Economics and Head of the Maritime Transport Research Group at the University of Plymouth's Plymouth Business School (Faculty of Arts, Humanities and Business). He previously served as an Assistant Professor at Heriot-Watt University and has industry experience in shipping and logistics. His research focuses on sustainability in maritime transport, ESG reporting, port management, and cybersecurity in shipping. Teaching responsibilities include programme management for MSc programs in International Logistics and Shipping, as well as course leadership in Research Skills and Economics, Port Policy and Management, and Maritime Geography and Economics. He actively contributes to both postgraduate and undergraduate teaching across multiple modules. Research interests emphasize sustainable maritime practices, including decarbonization strategies, circular economy applications, and regulatory frameworks for autonomous shipping. His work explores ESG reporting standards, cybersecurity challenges, and the role of ports in supporting green operations. Recent studies include case analyses of the Port of Plymouth and South Korean liner shipping sustainability drivers. Dr. Karamperidis' publications (2021–2025) address topics from LNG carrier congestion impacts to policy implications of Arctic shipping routes, reflecting a holistic approach to maritime economics and environmental stewardship.

Ruba Al OmariView profile

Assistant Professor

• Cybersecurity
• Machine Learning in Security
• Information Security
• +4 more

Ruba Al Omari is an Assistant Professor, Teaching Stream in the Department of Electrical Engineering & Computer Science at York University. She holds a PhD in Computer Science from Ontario Tech University, where she earned the Doctoral Excellence Award. Her research focuses on cybersecurity, machine learning applications in security, and the intersection of brain-computer interfaces (BCIs) with password memorability and user behavior analysis. Dr. Al Omari has over 15 years of industry experience in IT roles spanning network management and security. Her teaching portfolio includes graduate and undergraduate courses in cybersecurity, network security, applied cryptography, malware analysis, and machine learning. Notable courses include 'Attack and Defense Special Topics in IT: AI in Cybersecurity' and capstone projects in computer security. Research interests emphasize leveraging EEG signals and neural networks to predict password memorability, studying user behavior in password usage, and exploring BCI applications for facial recognition and image tagging. Her work bridges cognitive science, neuroscience, and computational security systems. Publications consistently address themes of password security, BCI-driven biometric authentication, and cognitive aspects of cybersecurity. Awards include the Doctoral Excellence Award from Ontario Tech University (exact year not specified in text). Previous roles included program coordinator for AI and Cybersecurity programs at Durham College, alongside teaching experience at Ontario Tech University. Industry background includes user support and network management roles, providing practical insights into IT security challenges.

Pirathayini SrikanthaView profile

Associate Professor

• Game Theory
• Large-scale Optimization
• Distributed Control
• +5 more

Pirathayini Srikantha serves as Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering, holding a Tier 2 Canada Research Chair in Reliable and Secure Power Grid Systems with critical national security implications for Canada's power infrastructure. Her academic foundation includes: B.A.Sc. in Systems Design Engineering from University of Waterloo (2009) M.A.Sc. in Electrical and Computer Engineering from University of Waterloo (2013) Ph.D. from University of Toronto's Edward S. Rogers Sr. Department of Electrical and Computer Engineering (2017) Professor Srikantha's research centers on game theory, large-scale optimization, and distributed control to enable adaptive power grid operations. Her work addresses cybersecurity vulnerabilities in smart grids through distributed coordination frameworks and develops transactive energy market mechanisms that incentivize grid support during congestion. By integrating AI breakthroughs, she focuses on creating systems that automatically infer, predict, and respond to power disturbances while enhancing infrastructure resilience against evolving threats. Her publication trajectory reveals consistent innovation in grid security and optimization, with increasing emphasis on AI-driven solutions for grid resilience since 2015. Key thematic evolution shows progression from foundational distributed control (2015-2017) to sophisticated cybersecurity applications (2018-2021), consistently appearing in premier venues like IEEE Transactions on Smart Grid. Her scholarly impact is recognized through: Best paper award at IEEE Smart Grid Communications Runner-up best poster award at ACM Women in Computing As Canada Research Chair holder, she directs a federally funded research program addressing critical grid vulnerabilities, while serving as Associate Editor for IEEE Transactions on Smart Grid. Her work bridges theoretical advances in game-theoretic security with practical grid applications, though specific student mentorship details aren't publicly enumerated in source materials. Her research group operates at the intersection of electrical engineering and computer science, developing next-generation tools for grid operators through collaborations with Canadian energy infrastructure stakeholders.

Fahad AhmadView profile

Lecturer

• Machine Learning
• Cybersecurity
• Medical Informatics
• +6 more

Fahad Ahmad is a Lecturer in the School of Computing within the Faculty of Technology at the University of Portsmouth. He holds affiliations with the Portsmouth AI and Data Science Centre, Centre for Cybercrime and Economic Crime, and Portsmouth Centre for Advanced Materials and Manufacturing. His research focuses on machine learning applications in healthcare, cybersecurity, and quantum computing. He supervises PhD students in topics like quantum machine learning for securing IoT medical devices. Key research areas include: Medical imaging diagnostics using deep learning (e.g., echocardiograms, X-rays) Cybersecurity for financial systems and SDN-NFV networks Quantum key distribution for post-quantum security AI-driven health management systems Recent work emphasizes: Human activity recognition through machine learning Cancer subtype classification using RNA expression data Emotional empathy modeling in intelligent agents His articles span healthcare technology, cybersecurity frameworks, and hybrid AI architectures. He actively contributes to international conferences and journals, with over 60 peer-reviewed publications. Research collaborations include institutions in Pakistan and the UK.

Amit Kumar MishraView profile

Professor

• Machine Learning
• Radar Technology
• Synthetic Aperture Radar (SAR)
• +7 more

Amit Kumar Mishra is a Professor of Communications Engineering and Director of the National Spectrum Centre at Aberystwyth University, UK. His primary affiliation is within the Faculty of Business and Physical Sciences. He leads interdisciplinary research in radar technology, machine learning, and cognitive architectures with applications in environmental monitoring, biomedical engineering, and cybersecurity. His research interests include Synthetic Aperture Radar (SAR) imaging, AI-driven environmental sensing (e.g., agricultural monitoring, biodiversity tracking), and advanced communication systems like IRS-enhanced NOMA networks. Recent work focuses on developing symbiotic AI-human cognitive systems for attention management and sensor data assimilation in industrial environments. Over 200+ publications span journals like Sensors , IEEE Transactions , and conference proceedings. Notable collaborations include projects on oil spill detection, underwater object recognition, and patient-specific medical modeling. He co-led the SMART Expertise project (2025) focused on innovation bridging. Media highlights include reports on medical imaging applications (Coarctation of Aorta studies) and the Aberystwyth University Technology Centre's innovation initiatives. His work aligns with UN SDGs related to sustainable cities and responsible consumption patterns.

Dong ChenView profile

Associate Professor

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +5 more

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

Maurice E. DawsonView profile

Associate Professor

• Cybersecurity
• Software Assurance
• Internet of Things (IoT)
• +4 more

Maurice E. Dawson is an Associate Professor and Director of the Center for Cyber Security and Forensics Education (C²SAFE) at Illinois Institute of Technology's College of Computing. He holds multiple advanced degrees, including a Ph.D. in Cybersecurity from London Metropolitan University and a Postdoc in Information Science from Universidade Fernando Pessoa. His research focuses on software assurance, IoT security, and critical infrastructure protection, with over 150 peer-reviewed publications and book chapters. Affiliations: Illinois Tech, Fulbright Specialist Program, IEEE Senior Member Grants: Over $100K in grants from U.S. State Department, USAID, and others for cybersecurity initiatives in Africa and the Middle East. Research Interests: Explores hyperconnectivity risks, dark web extremism, and cross-border cybersecurity collaboration. His work bridges academic research with practical applications in developing nations, focusing on IT training and infrastructure resilience. Awards & Recognition: Recipient of Teaching Excellence Awards (2019, 2021), Fulbright Specialist grants (Botswana, Saudi Arabia), and volunteer service medals. Media engagements include ABC7 Chicago and Illinois Public Media for cybersecurity commentary. Advising & Grants: Supervised multiple USAID-funded ICT projects in Senegal and Guinea, training local agricultural and tech professionals. Served on advisory boards for CTU and VIU, and editorships for journals like International Journal of Hyperconnectivity and IoT . Labs & Teams: Leads C²SAFE lab at Illinois Tech, specializing in incident response, digital forensics, and AI-driven security solutions. Collaborates with international institutions on cybersecurity education frameworks.

• Control systems
• Mechatronics
• Precision engineering
• +3 more

Chun-Yi Su is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on advanced control systems, mechatronics, robotics, and precision engineering. He specializes in nonlinear control, hysteresis compensation, and adaptive systems applied to soft actuators, UAVs, and smart materials. Key research areas include: Control of dielectric elastomer actuators Fault-tolerant cooperative control of unmanned aerial vehicles (UAVs) Adaptive neural network-based control for nonlinear systems Data-driven approaches for power electronics and energy systems Recent work emphasizes: Soft robotics actuation mechanisms Fractional-order control strategies Resilient control under cyber-physical attacks Biomimetic robotic systems His lab develops innovative solutions for smart materials, mechatronic systems, and autonomous robotics. Applications span renewable energy systems, biomedical devices, and aerospace engineering. Active in collaborative research with industry partners.

Ali DehghantanhaView profile

Professor

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +7 more

Dr. Ali Dehghantanha is a Professor and Canada Research Chair in Cybersecurity and Threat Intelligence (Tier 2) at the University of Guelph's School of Computer Science. He founded the Cyber Science Lab, the Master of Cybersecurity and Threat Intelligence (MCTI) program, and the Canada Cyber Foundry. His expertise spans cybersecurity, AI, and critical infrastructure protection, with a focus on federated learning, threat intelligence, and enterprise risk management. Research Interests: Cybersecurity & AI Integration Federated Learning Security IoT and Industrial Cyber-Physical Systems Adversarial Machine Learning Cyber Threat Intelligence Automation His research emphasizes practical applications, such as securing agri-food systems, blockchain-enabled frameworks, and autonomous cybersecurity solutions. Notable achievements include the IEEE Outstanding Leadership Award (2021) and leadership in national cybersecurity initiatives. Recent Contributions: Recent work explores federated learning for privacy-preserving threat detection in IoT, AI-driven malware hunting, and autonomous systems for intrusion detection. His publications highlight interdisciplinary approaches to cybersecurity challenges in critical sectors like agriculture and transportation. Awards: Canada Research Chair (2020–present), IEEE Outstanding Leadership Award (2021). Labs & Initiatives: Cyber Science Lab: Pioneering research in AI-driven cybersecurity Canada Cyber Foundry: Bridging academic and industry cybersecurity innovation MCTI Program: Training next-generation cybersecurity professionals

Brian GerberView profile

Associate Professor

• Disaster Policy and Management
• Homeland Security Policy
• Environmental Regulatory Policy
• +4 more

Brian Gerber is an Associate Professor at the Watts College of Public Service and Community Solutions and co-director of the Center for Emergency Management and Homeland Security at Arizona State University. His research focuses on disaster policy, homeland security administration, and environmental regulatory frameworks. He has extensive experience in policy analysis and program evaluation for government agencies and disaster relief nonprofits. Gerber's work bridges academic research with practical governance, addressing challenges such as interagency coordination in disaster response and language accessibility in emergency preparedness. His expertise spans climate change policy, cybersecurity in healthcare systems, and resilience strategies for critical infrastructure. He has contributed to national dialogues on pandemic response, bioterrorism preparedness, and the integration of smart city technologies with disaster management. Key areas of focus include the adaptation of urban centers to major epidemics, policy implementation dynamics in environmental justice, and cross-domain risk mitigation. Gerber has authored over 50 peer-reviewed publications and co-edited influential texts on public administration research methods and natural hazards governance. His research frequently emphasizes marginalized populations, such as persons with disabilities in disaster planning, and evaluates the role of universities as community stakeholders in disaster service provision. Gerber collaborates with international agencies on crisis translation policies and has advised on federal-state coordination during high-profile incidents like the Capitol riot and pandemic response.

H. Kevin FulkView profile

Associate Professor

• Information Systems Implementation
• Positive Technology Applications
• Legal Technology
• +5 more

Dr. H. Kevin Fulk is an Associate Professor of Information Systems in the School of Accounting, Finance, Information Systems, and Business Law at Western Carolina University's College of Business. He holds a Juris Doctor from the University of Kansas School of Law, an MBA from the University of Kansas, and a Ph.D. in Management Information Systems from the University of Houston. His research focuses on information systems implementation challenges, the positive societal impact of technology, and applications of technology in legal practice and access to legal services. Teaching interests include productivity applications, computer networking, IT project management, database management, and ethical technology use. Recent work emphasizes AI in education (e.g., generative AI’s effects on learning and ethics), legal technology (e.g., combating textbook piracy), and organizational compassion through IT. His 2022 article on AI-driven interview preparation won the Best Pedagogy Paper Award. He advises no listed students but has contributed to over 20 scholarly articles addressing topics like ERP implementation, cybersecurity laws, and disruptive innovation. His office is located in 203 Forsyth Building, and he uses pronouns He/His.

• Health Informatics
• Fraud Detection
• Cybersecurity
• +6 more

Dr. Fletcher Lu is an Associate Professor in the Department of Information Technology at the Faculty of Business and Information Technology, Ontario Tech University. His academic journey includes a PhD in Artificial Intelligence (specializing in Machine Learning) and a Master of Mathematics in Scientific Computation, both from the University of Waterloo. He also holds a Bachelor of Math in Computer Science from the same institution. His postdoctoral research at the Canadian Institute of Chartered Accountants (CIAC) focused on insurance fraud detection. His education includes: PhD in Artificial Intelligence, University of Waterloo Master of Mathematics in Scientific Computation, University of Waterloo Bachelor of Math in Computer Science, University of Waterloo Dr. Lu’s research interests span health informatics, fraud detection (including cybercrime and insurance fraud), and the application of machine learning and numerical analysis to business and health challenges. He has developed mobile technology applications to improve youth fitness and pioneered adaptive fraud pattern analysis in health insurance data. His work intersects with cybersecurity, data analytics, and gaming, emphasizing real-world collaborations with organizations such as Manulife Financial, the Canadian Department of National Defence, and Medavie Blue Cross. His recent publications highlight trends in supply chain resilience, optimization methodologies, and disruption risk analysis. These include studies on EV infrastructure planning, stochastic distribution networks, and Benders decomposition strategies for reliable systems design. Dr. Lu has received significant awards, including: First place at CORS 2014 Practice Prize Third place at INFORMS 2013 interactive poster sessions His research has been funded by the National Science Foundation, Ontario Partnership for Innovation and Commercialization, and NSERC. He is affiliated with the Business Analytics & AI Research Group, contributing to decision-making systems and data-driven solutions for business and health sectors.

• Data mining
• Reverse engineering
• Machine learning
• +1 more

Mohammadhossein Amouei is a researcher and lecturer affiliated with McGill University's School of Information Studies. He holds the role of Course Lecturer for INFS 691: Computer Programming for Information Professionals. His primary research interests span data mining, reverse engineering, machine learning, and cybersecurity. He is affiliated with research labs including the Data Mining & Security Lab and the Accessible Computing Technology Research Group Lab. His educational background includes PhD candidacy at McGill University. Recent research focuses on reinforcement learning-driven vulnerability discovery in cybersecurity and natural language generation for assembly code documentation. He has contributed to federated learning security through game-theoretic frameworks. Advising and grants information is not explicitly detailed in available texts. He maintains an active presence on LinkedIn and GitHub, and his work bridges theoretical computer science with practical security applications.

• Scientific Visualization
• Data Visualization
• Data Science
• +5 more

Min Chen is a Professor of Scientific Visualization at the University of Oxford, affiliated with the Department of Engineering Science and Pembroke College. He holds fellowships from the British Computer Society, European Computer Graphics Association, and Learned Society of Wales. His career spans over three decades, with previous roles at Swansea University (1984–2011) and current leadership in visualization research. His research focuses on visualization theory, video visualization, visual analytics, and interdisciplinary applications in fields like epidemiology and cybersecurity. He has authored over 200 publications and led projects such as RAMPVIS during the COVID-19 pandemic. Key roles include editor-in-chief of Computer Graphics Forum and associate editor of IEEE Transactions on Visualization and Computer Graphics. Education: BSc and PhD in relevant fields (details not explicitly stated in texts). Awards include the VGTC Visualization Lifetime Achievement Award (2024). His work emphasizes the theoretical underpinnings of visualization and practical tools for data intelligence.

Akos LedecziView profile

Professor

• Computer Science Education
• Wireless Sensor Networks
• Model Integrated Computing
• +3 more

Akos Ledeczi is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on computer science education and wireless sensor networks (WSN) , with notable contributions to visual programming tools like NetsBlox and anti-poaching systems like WIPER. He holds a Ph.D. from Vanderbilt University and a Diploma from the Technical University of Budapest. His education initiatives include the NetsBlox platform for K-12 STEM education and a popular Coursera MOOC on introductory programming. In WSN, his team developed a countersniper system with real-time shooter localization and a wearable system for military applications. He is also a leader in Model Integrated Computing , creating tools like the Web-based Generic Modeling Environment. Recent work includes NSF-funded projects on cybersecurity education in middle schools and animal-borne acoustic monitoring. His awards include the ACM SenSys Test of Time Award (2014) and the Best Showpiece Award at IEEE VL/HCC (2021). Key grants and collaborations span NSF projects, Vodafone innovation programs, and the Cyber Makerspace initiative. His lab develops tools like DeepForge and RoboScape Online , emphasizing open-source and collaborative platforms. Students supervised include Devin Jean (K-12 tools), Gordon Stein (robotics simulations), and Brian Broll (NetsBlox extensions).