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Reza TouraniView profile

Assistant Professor

• Security and Privacy
• Internet of Things (IoT)
• Information-Centric Networking (ICN)
• +7 more

Reza Tourani is an Assistant Professor in the Department of Computer Science at Saint Louis University since Fall 2018. He earned his Ph.D. (2018) and M.S. (2012) in Computer Science from New Mexico State University, preceded by a B.S. in Computer Engineering from Islamic Azad University of Tehran (2008). His career includes prior work in the telecommunications industry in Iran. University: Saint Louis University School: School of Science and Engineering Department: Department of Computer Science Academic Rank: Assistant Professor Dr. Tourani’s research focuses on security and privacy in resource-constrained environments, including: Internet of Things (IoT) : Secure communication protocols and edge computing Information-Centric Networking (ICN) : Access control and request flooding mitigation Cyber-Physical Systems : Smart grid and UAV swarms Private Communication : Anonymity in distributed systems Networked Systems : DDoS defense and caching optimization His recent articles explore trends in: DDoS mitigation in Named Data Networking (PERSIA framework, 2020) Secure UAV swarm communications (2020) Attribute-based encryption for edge computing (APECS, 2021) Collaborative caching mechanisms (MuNCC, 2016) Smart grid data security (iCASM, 2020) Dr. Tourani has secured research grants from Saint Louis University and Intel Labs to advance projects on privacy-aware contact tracing and edge computing security . He actively mentors students in cybersecurity, IoT, and networked systems.

Ji LiuView profile

Associate Professor

• Distributed Control
• Multi-Agent Systems
• Distributed Optimization
• +4 more

Ji Liu is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University. He is affiliated with the Department of Applied Mathematics and Statistics, the Institute for AI-Driven Discovery and Innovation, and the Institute for Engineering-Driven Medicine. He holds a Ph.D. from Yale University and completed postdoctoral research at the University of Illinois at Urbana-Champaign and Arizona State University. His research focuses on distributed control, multi-agent systems, distributed optimization, and cyber-physical systems, with applications to social networks, epidemic models, and quantum networks. Key areas of investigation include consensus algorithms, network topology design, and resilient reinforcement learning. Recent work explores topics like entanglement routing in quantum networks, decentralized multi-armed bandits, and bi-virus disease dynamics. His contributions span theoretical frameworks and practical implementations in domains such as smart grids, medical prosthetics, and secure microgrid control. Education: Ph.D. in Electrical Engineering, Yale University (201X) Postdoctoral Research: UIUC (Coordinated Science Lab), ASU (School of ECEE) Labs: Active in distributed systems, quantum control, and networked epidemic modeling

Jun YanView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence
• Smart Grids
• +3 more

Jun Yan is an Associate Professor and Concordia University Research Chair in Artificial Intelligence in Cyber Security and Resilience at the Concordia Institute for Information Systems Engineering (Concordia University). His research focuses on cybersecurity, smart grid systems, and AI-driven solutions for energy and communication networks. He supervises graduate students in programs such as Information Systems Security (MASc), Computer Science (MCompSc), and Information and Systems Engineering (PhD). Research Highlights : Cybersecurity of distributed energy systems, AI penetration testing frameworks, and resilient transactive energy markets. Awards : Holds a prestigious university research chair in AI-driven cybersecurity. His work integrates machine learning with domain-specific challenges in smart grids, IoT security, and multi-agent systems. Notable contributions include frameworks for detecting adversarial attacks on power systems, optimizing renewable energy integration, and developing AI tools for penetration testing. His articles reflect a strong emphasis on interdisciplinary solutions blending cybersecurity, energy systems, and advanced computing. Yan’s research also addresses policy and infrastructure challenges in sustainable energy systems, including waste management policy analysis and optimal configuration of hybrid renewable systems. He has pioneered open-source co-simulation platforms like PEMT-CoSim and Quantum-Sim for secure energy trading and quantum communication in grids. He actively engages in grant-funded projects and advises on both academic and applied aspects of cybersecurity and intelligent systems.

Lesia MitridatiView profile

Assistant Professor

• Renewable Energy Systems
• Energy Markets
• Power Systems Optimization
• +5 more

Lesia Mitridati is an Assistant Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). Her research focuses on optimizing energy systems, particularly in renewable energy integration, energy market design, and prosumer behavior modeling. She leads and collaborates on projects involving smart grids, distributed energy resources, and privacy-preserving market mechanisms. Her work contributes to UN Sustainable Development Goals related to affordable and clean energy. Key projects include AI-driven electricity market optimization, hydrogen-wind trading strategies, and risk-aware energy communities. She supervises multiple PhD students in areas like VPP bidding strategies and market-based heat-electricity coordination. Dr. Mitridati has published widely on energy communities, grid services, and reinforcement learning applications. Notable contributions include dynamic pricing frameworks for grid services and privacy-preserving market mechanisms. She co-organizes annual DTU summer schools on future energy systems and AI-driven optimization. Her research integrates machine learning with operational research techniques to address challenges in renewable energy integration, market design, and system resilience. Current initiatives focus on electrolyzer plant bidding strategies and feature-driven trading of renewable resources.

Vijay K. SoodView profile

Professor

• Power Systems
• Power Electronics
• HVDC and FACTS Controllers
• +3 more

Dr. Vijay K. Sood is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University. He holds a PhD in Power Electronics from Bradford University (UK), and has extensive experience in power systems, power electronics, and renewable energy integration. His research focuses on High Voltage Direct Current (HVDC) systems, Flexible AC Transmission Systems (FACTS), power electronics converters, and grid protection. He has received numerous awards, including Life Fellow of IEEE, Emeritus Fellow of the Canadian Academy of Engineers, and the 2000 IEEE Third Millennium Medal. Dr. Sood has authored/co-authored over 100 publications, including peer-reviewed articles in top journals like IEEE Transactions on Power Electronics and International Journal of Electrical Power & Energy Systems. His work addresses challenges in grid stability, renewable energy integration, and advanced control strategies for power systems. Education: PhD (Power Electronics), Bradford University, UK (1977) MASc (Electrical Machines), Strathclyde University, Scotland (1969) BSc (Electrical Engineering), Nairobi University, Kenya (1967) Awards: IEEE Third Millennium Medal (2000) Canadian Pacific Railway Engineering Award (2002) IEEE Regional Activities Board Achievement Awards (2001, 2006) His research emphasizes practical solutions for modern power systems, including HVDC controller design, synthetic inertia control for renewable grids, and advanced fault detection techniques. He has collaborated internationally on projects like the Energy System Observatory of Honduras and grid architecture models for multi-terminal DC systems.

Mike BarnesView profile

Professor

• Power Electronics
• High Voltage DC Transmission
• Offshore Wind Energy
• +3 more

Mike Barnes is Professor in the Power Conversion group at the University of Manchester's School of Electrical and Electronic Engineering. He holds a BEng and PhD from the University of Warwick and is a Fellow of IET, IEEE, and HEA. His research focuses on power electronics applications in HVDC transmission, offshore wind energy integration, smart grids, and energy storage optimization. He has supervised over 24 doctoral students and serves as Associate Editor for IEEE Transactions on Energy Conversion. Barnes investigates high-voltage power conversion technologies to enhance renewable energy utilization and grid stability. His work spans semiconductor-based systems, advanced control strategies, and multi-scale modeling to reduce costs and improve efficiency in energy infrastructure. Current projects include grid-scale storage interfacing and power electronic transformers. Recent publications demonstrate his focus on real-time simulation of energy storage, stability analysis of HVDC systems, and thermal management of power modules. This research addresses critical challenges in renewable integration and grid resilience. IEEE Transactions Prize Paper (2012-13) IEEE Transactions Energy Conversion Best Paper (2018-19)

Archie ChapmanView profile

Associate Professor

• Artificial Intelligence
• Game Theory
• Optimization
• +8 more

Associate Professor Archie Chapman is an Associate Professor in Computer Science and Deputy Director (Teaching and Learning) at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on applying artificial intelligence, game theory, optimization, and machine learning to address challenges in future power systems, including renewable energy integration and battery storage optimization. Prior to UQ, he held roles as a Research Fellow in Smart Grids at the University of Sydney (2011-2019) and a postdoc at the University of Southampton (2009-2010), where he completed his PhD in 2004. Research interests include: - Large-scale optimization for energy systems - Demand response and peer-to-peer energy trading - Renewable energy integration and grid stability - Battery storage strategies for smart grids - Algorithmic game theory for energy market design Notable projects: - Bruny Island battery trial for network congestion management - Analysis of tariff impacts on solar households - Development of decentralized energy management frameworks Publications span over 100 articles, with recent work focusing on: - Prosumer battery systems and capacity firming (2025) - Unbalanced optimal power flow benchmarks (2024) - P2P energy trading mechanisms (2021-2023) Expertise includes: - Techno-economic analysis of energy systems - Distributed optimization algorithms - Policy and market design for renewable integration

Martin FosterView profile

Professor

• Energy Storage Systems
• Power Electronics
• Battery Management
• +4 more

Professor Martin Foster is a faculty member at the University of Sheffield's School of Electrical and Electronic Engineering, specializing in energy storage and power electronics. He holds a PhD from the University of Sheffield (2003) and has been a Professor since 2016. His research focuses on power electronic energy conversion, battery management systems, thermal modeling, and grid-connected energy storage. Notable projects include the FEVER initiative for off-grid EV charging and the Willenhall Energy Storage Systems facility. He has collaborated with industry partners like Nissan and Siemens, contributing to innovations in EV power electronics and wind energy technologies. He leads the Power Devices & Systems research group and teaches courses in power electronics and analog/digital electronics. His work spans EPSRC-funded projects such as FPET (piezoelectric resonant power supplies) and TransEnergy (railway energy storage). He is a founder of the Centre for Research in Electrical Energy Storage and Applications. His research interests include multilevel converters, piezoelectric transformers, and high-voltage power supplies for plasma chemistry applications. Recent publications highlight advancements in resonant converter design, battery energy storage systems, and condition monitoring for power devices. Awards and recognitions are not explicitly listed, but his extensive industry collaborations and leadership roles reflect his expertise. He advises on energy storage integration, grid technologies, and sustainable transportation systems. His contributions to both academic and applied research bridge theoretical advancements and practical industrial solutions in electrical engineering.

Gabor KarsaiView profile

Professor

• Model-Driven Software Engineering
• Embedded Systems
• Cyber-Physical Systems
• +6 more

Dr. Gabor Karsai is a Distinguished Professor of Computer Science and Professor of Electrical and Computer Engineering at Vanderbilt University's School of Engineering. He also serves as Senior Research Scientist at the Institute for Software-Integrated Systems (ISIS), where he contributes to the Executive Council. With over 30 years in software engineering, his research focuses on embedded systems, model-driven development, resilient software platforms, and AI-driven autonomous systems assurance. He holds a PhD from Vanderbilt and degrees from the Technical University of Budapest. Education: Ph.D. in Electrical and Computer Engineering, Vanderbilt University Dr.Tech. in Computer Engineering, Technical University of Budapest M.S. and B.S. in Electrical Engineering, Technical University of Budapest Affiliations: Co-Associate Chair for Computer Engineering External Member of the Hungarian Academy of Sciences His research interests span model-integrated computing , autonomous systems assurance , and radiation-hardened systems . Recent work emphasizes AI integration into engineered systems and radiation effects mitigation for space applications. He has led major projects on distributed control for smart grids and resilient CPS architectures. Over 200 peer-reviewed publications and four patents reflect his contributions to software engineering and systems integration. Awards & Recognition: External Membership in Hungarian Academy of Sciences Leadership roles in ISIS and Vanderbilt's academic governance Advisees & Grants: While no student list is provided, his projects involve collaborative teams across academia and industry. Major sponsors include NSF, NASA, and DARPA. Current work includes the ALC (Assurance-based Learning-enabled CPS) and MIDAS (Model-based Intent-Driven Adaptive Software) initiatives. Labs & Platforms: Co-developer of the RIAPS distributed CPS platform and the SEAM assurance modeling framework. His labs focus on cyber-physical system design, radiation effects analysis, and autonomous system reliability.

Fikile R. BrushettView profile

Professor

• Electrochemical Energy Storage
• Redox Flow Batteries
• Electrochemistry
• +3 more

Fikile R. Brushett is a Professor and holds the Chevron Chair of Chemical Engineering at the Massachusetts Institute of Technology (MIT), within the Department of Chemical Engineering under the School of Engineering. His research focuses on electrochemical energy storage systems, particularly redox flow batteries, catalyst synthesis, and environmental applications like CO₂ capture. Brushett has received numerous accolades, including the Allan P. Colburn Award and Charles W. Tobias Young Investigator Award for his impactful publications. His work integrates experimental and computational methods to advance energy technologies, emphasizing sustainable materials and system optimization. He leads projects addressing global energy challenges through innovations in battery design, electrolyte development, and process modeling. Education: Ph.D. in Chemical Engineering, University of Illinois at Urbana-Champaign (2010) M.S.E. in Chemical Engineering, University of Illinois at Urbana-Champaign (2009) B.S.E. in Chemical Engineering, University of Pennsylvania (2006) Research: Brushett’s lab explores electrochemical energy conversion/storage, microfluidics, and interfacial phenomena. Key areas include redox flow battery optimization, scalable carbon materials for energy storage, and CO₂ capture via electrochemical methods. His team develops novel diagnostic tools (e.g., microelectrode sensors) and models for system efficiency. Awards: Over two dozen honors, including named chairs and fellowships from organizations like ACS and GEM. Notable recognitions include the 2024 Chevron Chair and 2022 AIChE Colburn Award. Grants & Labs: Active in MIT’s Electrochemical Energy Lab, focusing on grid-scale storage solutions. Collaborates on projects funded by DOE, industry partners (e.g., Chevron), and foundations. Leads initiatives in material sustainability and battery lifecycle analysis. Publications: Over 140 peer-reviewed articles (2022–2025) emphasize interdisciplinary innovations in energy storage, electrolyte design, and environmental electrochemistry. Recent work highlights advancements in non-aqueous systems, CO₂ capture, and Bayesian-optimized material synthesis.

Christopher H. T. LeeView profile

Associate Professor

• Electric motors and drives
• Renewable energies
• Electromechanical propulsion systems
• +7 more

Christopher H. T. Lee is an Associate Professor at the School of Electrical & Electronic Engineering at Nanyang Technological University (NTU), with a courtesy appointment at the Lee Kong Chian School of Medicine. He was promoted to Associate Professor with Tenure in March 2024 after joining NTU as an Assistant Professor in October 2018. Dr. Lee holds the prestigious Singapore NRF Fellowship (Class 2020) and was previously awarded the Nanyang Assistant Professorship, recognizing him as a top 1% faculty member at NTU. Dr. Lee's research focuses on electric motors and drives, renewable energies, and electromechanical propulsion systems. His specific interests include: Energy Engineering and Power Technology Smart Cities applications Advanced Control Theory for motor systems Smart Grids integration Smart Energy Conversion Systems Advanced Magnetics for motor design Dr. Lee's extensive publication record shows a strong focus on motor control algorithms, innovative motor designs, and energy efficiency optimization. His recent work demonstrates expertise in predictive control systems, flux-modulated machines, and fault diagnosis techniques for electric motor systems. The research spans both theoretical advancements and practical applications in industrial settings. Dr. Lee has received numerous prestigious awards recognizing his contributions to the field: Nagamori Award (first recipient under 40) IEEE Myron Zucker Award (first recipient outside USA and Canada) NRF Fellowship (Singapore's most prestigious entry award for young researchers) MDPI Energies Young Investigator Award IET Fellow First Place Best Paper Award from IEEE TEC Top Cited Article from IET RPG As a dedicated educator and researcher, Dr. Lee has successfully supervised numerous students and secured significant research funding. He serves as Principal Investigator for grants totaling over SGD 13.5 million (approximately USD 10 million). His innovative ideas have been adopted by major corporations including Panasonic, Rolls-Royce, Magna International, Schaeffler Group, and Jingsu Xinri E-Vehicle Co. Ltd. Notably, he directs the NTU-Panasonic Joint Lab, which has received SGD 5 million investment to support over eight concurrent projects focusing on new motor concepts and 3D-printing technology. Dr. Lee leads the NTU Motor Lab, an interdisciplinary team researching the science and technology of electric motors and drives, renewable energies, and electromechanical systems. The lab explores new materials, motor topologies, and control strategies dedicated to intelligent and efficient generation and conversion of electrical energy.

Colin AllisonView profile

Research Professor

• Multi-User Virtual Worlds
• Distributed Systems
• Computer Networks
• +5 more

Dr Colin Allison is an Honorary Research Professor at the University of St Andrews' School of Computer Science, specializing in Multi-User Virtual Worlds (Metaverses), Distributed Systems, Computer Networks, and Quality of Service (QoS). He holds a PhD in Computer Science from the University of St Andrews, an M.Sc. in Computing from the University of Dundee, and an M.A. in Sociology from the University of Edinburgh. His research focuses on immersive learning environments, virtual world infrastructure, and educational technologies. Notable projects include leading the Immersive Learning Research Network (iLRN), managing Open Virtual Worlds initiatives, and investigating Quality of Service in distributed systems. Dr. Allison has organized international conferences and published extensively on virtual reality applications in education and cultural heritage. Key contributions include advancing scalable learning environments like Finesse, exploring video fingerprinting for digital asset management, and investigating covert channels in internet protocols. He has collaborated on interdisciplinary projects such as LAVA (virtual archaeology) and the Global Smart Spaces initiative. Dr. Allison has secured grants for projects like the European Learning Grid Infrastructure (ELeGI) and has served as Principal Investigator for initiatives such as Interface and the Scottish Metropolis Area Networks project. His work bridges academic research with practical applications in education, technology, and heritage preservation. He has advised on multiple research projects and has been a keynote speaker at conferences on internet security, immersive education, and virtual worlds.

Oscar Mendez MaldonadoView profile

Lecturer

• Robotics
• Artificial Intelligence
• Computer Vision
• +3 more

Oscar Mendez Maldonado is a Lecturer in Robotics and Artificial Intelligence at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Robotics Department and CVSSP Centre. He holds a PhD (2018) and BEng (2013) from the University of Surrey. His research focuses on Machine Learning, Computer Vision, and Robotics, with emphasis on autonomous systems, localisation, and SLAM applications. Key projects include the Autonomous Valet Parking (AVP) system for indoor navigation and the SMILE project for sign language assessment using AI. He has supervised students like James Ross (Autonomous Vehicles), Xihan Bian (Reinforcement Learning), and Nimet Kaygusuz (Visual Odometry). Notable achievements include the Sullivan Thesis Prize (2018) and impactful publications in IEEE conferences (e.g., ICRA, CVPR, IROS). Research spans topics like 3D hand pose estimation via diffusion models, graph-based visual odometry fusion, and Raman spectroscopy for localisation. He contributes to open-source tools (e.g., RaSpectLoc GitHub) and collaborates with industry partners like Parkopedia. His work bridges theoretical advances with real-world applications in autonomous systems and healthcare.

Liz RatnamView profile

Associate Professor

• Control of Power Systems
• Optimization of Energy Systems
• Secure and Resilient Power Grids
• +3 more

Associate Professor Liz Ratnam is a leading academic in the Department of Electrical and Computer Systems Engineering at Monash University, serving as Deputy Postgraduate Director of Education ECSE. Her expertise spans power systems control, energy optimization, and resilient grid design. She holds a BEng (Hons I) and PhD in Electrical Engineering from the University of Newcastle (2006 and 2016), with postdoctoral research at UC San Diego and Berkeley. She previously served as Senior Lecturer and Sub-Dean for Educational Programs at ANU's College of Engineering & Computer Science, supported by a Future Engineering Research Leader (FERL) Fellowship. Her current research focuses on advancing transactive energy markets, EV coordination in distribution networks, and secure grid operations. She leads major grants including the National Facility for Electricity Grid Security (ARC LIEF 2023) and projects on EV fast-charging infrastructure. Education Background: - BEng (Hons I) in Electrical Engineering, University of Newcastle (2006) - PhD in Electrical Engineering, University of Newcastle (2016) Research Interests: Resilient, carbon-neutral power grid design Control and optimization of energy systems Synchrophasor-based estimation for grid stability Transactive multi-agent systems for energy markets Electric vehicle integration and coordination in unbalanced grids Grants & Projects: ARC Linkage Infrastructure Grant LE23010058 (2023): National Facility for Electricity Grid Security ARC Discovery Project DP22010135 (2022): Neural Architecture Search for Deep Learning ARC Linkage Project LP21200473 (2022): Building Australia's EV Fast-Charging Infrastructure Awards & Memberships: Fellow of Engineers Australia Senior Member of IEEE FERL Fellowship (ANU)

Stephen LeeView profile

Assistant Professor

• Computer Systems
• Cyber-Physical Systems
• Data Mining and Data Science
• +3 more

Stephen Lee is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with Pitt Cyber. His research focuses on distributed systems, cyber-physical systems, and sustainability, emphasizing energy efficiency and cost optimization. Dr. Lee holds a PhD from the University of Massachusetts Amherst, a Master’s from Chennai Mathematical Institute, and a Bachelor’s from St. Stephen’s College, Delhi. He actively seeks students for his research group. Education: PhD, Computer Science, University of Massachusetts Amherst Master’s, Chennai Mathematical Institute Bachelor’s, St. Stephen’s College, Delhi Research Interests: Dr. Lee’s work integrates distributed systems, machine learning, and optimization to enhance sustainability. Key areas include IoT-enabled energy systems, emission-aware computing, and privacy-preserving frameworks. He leads projects like GreenWhisk (serverless emission reduction) and Sat2map (3D building modeling from satellite imagery). Recent Achievements: Best Paper Award in IEEE TPS 2024 DOE-funded Cyber Energy Center (2024) MCSI Seed Grant for Pitt building sustainability (2024) NSF Grant on sustainable distributed infrastructures (2023) Grants & Advising: Secured over $2M in grants, including NSF and DOE funding. Advises on energy-efficient systems and IoT security. Teaches CS 2510 (Operating Systems) and CS 1699 (Systems & Sustainability). Labs & Teams: Directs the Sustainable Systems Research Group, focusing on decarbonizing IT and optimizing renewable energy systems. Collaborates with industry partners on smart grid solutions and edge-cloud systems.