Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.
Magdy M. A. Salama is a Professor and University Research Chair at the University of Waterloo's Department of Electrical and Computer Engineering, Faculty of Engineering. He holds a P.Eng. license and is a Fellow of the IEEE. His research spans Energy Systems (Power Quality, Smart Grids, Renewable Energy) and Biomedical Engineering (Medical Imaging, Sleep Analysis). He has authored/co-authored over 460 publications and supervised numerous graduate students. Education: PhD (University of Waterloo), M.Sc. and B.Sc. (Cairo University). Awards include the IEEE Fellow distinction, University Research Chair, and multiple teaching/research awards from the University of Waterloo. Research trends in his articles focus on Smart Grid resiliency, renewable integration, cyber-physical security, and biomedical applications of AI. Notable projects include voltage sag mitigation, EV fleet electrification, and blockchain-based energy trading platforms. Scientific Awards: IEEE Fellow, University Research Chair, Teaching Excellence Award (2000) Grants/Consultation: Extensive industry and institutional collaborations on power systems and biomedical tech. Labs/Teams: Active in High Voltage Lab, Smart Grids Research Group, and Medical Image Processing Lab.
Ashwani K. Gupta is a Distinguished University Professor at the University of Maryland, holding the Minta Martin Professorship in Engineering. He serves as Professor in the Department of Mechanical Engineering, Professor at the Institute of Physical Science and Technology, and Affiliate Professor in the Department of Aerospace Engineering. With over 45 years of experience in combustion engineering since graduating from Southampton University in 1970, Gupta has established himself as a leading authority in advanced combustion technologies. Dr. Gupta earned his Ph.D. from the University of Sheffield in 1973, followed by a D.Sc. from the same institution in 1986 and another D.Sc. from Southampton University in 2013. His academic journey includes six years at MIT as a research staff member and three years at Sheffield University as an independent research worker before joining the University of Maryland in 1983. Gupta's research focuses on revolutionizing combustion technology through innovations in swirl flows, high-temperature air combustion (HiTAC), and distributed combustion systems. His pioneering work on 'colorless distributed combustion' has enabled ultra-low emission combustion processes with significant applications in gas turbine engines and waste-to-energy conversion. His research spans biofuels, CO2 utilization, sulfur chemistry, waste conversion, and advanced laser diagnostics, addressing critical challenges in sustainable energy and environmental protection. Analyzing his recent publications reveals a strong emphasis on waste-to-energy conversion, biomass processing, and CO2-assisted technologies. Gupta's work demonstrates a clear trajectory toward sustainable energy solutions, with increasing integration of artificial intelligence for combustion optimization and emission control. His research bridges fundamental combustion science with practical engineering applications for cleaner energy systems. Among Gupta's numerous accolades are: Election to Fellowship of the Royal Academy of Engineering (2023) Honorary Fellowship of the Royal Aeronautical Society (2020) Recognition as one of the top 2% of scientists worldwide by Stanford University (2022-2024) Multiple prestigious medals from ASME and AIAA including the Soichiro Honda Medal (2018) and AIAA Air Breathing Propulsion Award (2014) Honorary doctorates from three international universities Gupta has secured substantial research funding throughout his career, resulting in over 850 technical papers, three books, 18 edited books, and 22 book chapters. He has delivered over 100 plenary/keynote/invited presentations at international conferences. His mentorship has shaped numerous graduate students who continue to contribute to the field of combustion engineering. Gupta directs the Combustion Laboratory at the University of Maryland, which serves as a hub for cutting-edge research in sustainable combustion technologies. The Combustion Laboratory, under Gupta's leadership, has become a center of excellence for advanced combustion research, particularly in distributed combustion systems, waste-to-energy conversion, and alternative fuels. The lab maintains strong collaborations with industry partners and international research institutions, facilitating technology transfer and practical implementation of research findings. Gupta's team employs state-of-the-art diagnostics and computational tools to advance fundamental understanding while developing practical engineering solutions for cleaner energy systems.
Gustavo Valverde Mora is a Lecturer at ETH Zurich's Power Systems Laboratory in the Department of Information Technology and Electrical Engineering. His research focuses on distributed energy resources, smart grid technologies, and power system control, with expertise in behind-the-meter DER integration and hosting capacity analysis. His recent work addresses key challenges in renewable energy integration, including voltage control coordination between transmission and distribution networks, data-driven local control schemes for active distribution grids, and unsupervised load disaggregation techniques using smart meter data. He has developed novel methods for DER modeling, GIS-based system analysis, and distribution network planning. Recognized with multiple awards including the 2022 Costa Rican National Technology Award, he actively contributes to IEEE Task Forces on DER integration. His research demonstrates strong emphasis on practical grid applications, combining theoretical power systems knowledge with advanced data analytics. Dr. Valverde teaches Power System Analysis (227-0526-00L) and maintains collaborations with utilities worldwide on renewable integration challenges.
Stelios Timotheou is an Associate Professor at the Department of Electrical and Computer Engineering and faculty member at the KIOS Research and Innovation Center of Excellence, University of Cyprus. He holds a Dipl-Ing from National Technical University of Athens, and MSc/PhD from Imperial College London. His research focuses on developing real-time distributed methodologies using mathematical optimization, machine learning, and computational intelligence to enhance efficiency in critical infrastructure systems. Research interests center on data-driven decision making for urban mobility management, traffic control systems, and energy optimization. Key areas include: Intelligent UAV-based sensing for traffic monitoring Cooperative control algorithms for multi-agent systems Optimization of renewable energy integration Robust infrastructure protection strategies Recent publications demonstrate strong focus on traffic state estimation (76%), energy system optimization (16%), and UAV applications (8%). Awarded the Cyprus Research Award (2017) and ERC Consolidator Grant for URANUS project. Secured multiple research grants focusing on real-time control systems.
Dr. Beibei Ren is an Assistant Professor in the Department of Mechanical Engineering at Texas Tech University. She earned her Ph.D. in Electrical and Computer Engineering from the National University of Singapore (NUS) in 2010, followed by postdoctoral work at UCSD and a research fellowship at NUS. Education: Ph.D. in Electrical and Computer Engineering (NUS, 2010) Previous Positions: Postdoctoral Scholar (UCSD, 2010-2013), Research Fellow (NUS, 2009-2010) Her research focuses on dynamic systems and control with applications in renewable energy integration, microgrids, UAVs, MEMS, marine systems, and manufacturing. At Texas Tech, she directs the Dynamic Intelligent Systems, Control and Optimization (DISCO) Group , emphasizing robust control strategies for uncertain systems. The 15 most recent publications highlight her expertise in uncertainty and disturbance estimator (UDE)-based control , with applications in smart grid technologies, wind and solar energy systems, quadrotor robotics, and power electronics. Her work bridges theoretical control theory with practical implementations in renewable energy and autonomous systems. STEM Outreach: Actively promotes diversity in engineering through Texas Tech's STEM CORE programs.
James Tinjum is a Professor in the Department of Civil & Environmental Engineering at the University of Wisconsin-Madison, College of Engineering. His interdisciplinary expertise spans geotechnical, geological, environmental, transportation, and sustainable energy engineering. Education PhD 2006, University of Wisconsin-Madison MS 1995, University of Wisconsin-Madison BS 1993, University of Wisconsin-Madison Research Interests Professor Tinjum’s research integrates energy geotechnics with environmental sustainability. He investigates wind energy site design, district-scale geothermal heating/cooling systems, beneficial reuse of industrial byproducts (e.g., coal-combustion residuals, cement kiln dust), life-cycle environmental analysis, and remediation of contaminated sites. Additional focus areas include thermal conduction in unsaturated soils, landfill liner performance, and PFAS management in Wisconsin. Recent Research Directions His 2020–2024 publications reveal a strong emphasis on geothermal system performance , wind-turbine foundation–soil interaction , and emerging contaminant transport (PFAS, chromium). Fiber-optic distributed temperature sensing (FO-DTS) is a recurring enabling technology, applied to both geothermal borefields and landfill covers. Life-cycle assessment methodologies are consistently employed to quantify environmental benefits of renewable energy and waste-reuse strategies. Scientific Awards 2018 Fellow, American Society of Civil Engineers (ASCE) 2003 ASCE Zone III Practitioner Advisor of the Year 2002 ASCE Wisconsin Section Outstanding Young Engineer Teaching & Mentoring Professor Tinjum teaches core geotechnical courses (Soil Mechanics, Foundation Systems) alongside specialized offerings in wind-energy balance-of-plant design and sustainable systems engineering capstone. He supervises numerous master’s and doctoral students through GLE 790/890 research credits each semester. Labs & Teams He directs field-scale instrumentation campaigns at two wind-turbine sites and multiple campus/district geothermal installations, leveraging fiber-optic sensing networks and thermal response testing to advance energy geotechnics.
Xiaozhe Wang is an Associate Professor in the Department of Electrical and Computer Engineering at McGill University, holding the Canada Research Chair (Tier II) in Resilient and Stable Zero-Emission Electric Power Grids and the Rubin & So Foundation Faculty Scholar. He joined McGill in 2016 after a postdoctoral fellowship at MIT under Prof. Konstantin Turitsyn. He earned his Ph.D. from Cornell University (2015), with a minor in Applied Mathematics, and holds degrees from Zhejiang University (B.S., 2010) and Cornell (M.Eng., 2011). His research focuses on resilient power grids, data-driven methodologies, and cybersecurity in energy systems. Key areas include electric vehicle integration, stability assessment, and control strategies for renewable energy systems. He develops advanced techniques for uncertainty quantification, wide-area monitoring, and adversarial attack detection. Notable achievements include pioneering work on polynomial chaos expansion for probabilistic assessment and sparse identification for nonlinear dynamics. His articles explore topics like microgrid control, false data injection attacks, and decentralized energy trading. Awards: Canada Research Chair (Tier II), Rubin & So Foundation Scholar Grants/Projects: Focus on resilience, cybersecurity, and renewable integration funded via NSERC, Mitacs, and industry partnerships. He advises students through fellowships like Mitacs Elevate and Banting Postdoctoral Fellowships. His lab emphasizes interdisciplinary approaches to modern grid challenges, including lab experiments and field trials.
Ronnie Sircar is the Eugene Higgins Professor of Operations Research and Financial Engineering at Princeton University , where he contributes to the Department of Operations Research and Financial Engineering (ORFE). His work spans financial mathematics, stochastic modeling, and applied probability, with a focus on market volatility, optimal investment strategies, and dynamic game theory. Email: sircar@princeton.edu Office: Sherrerd Hall, Room 208, Princeton, NJ 08544 His research interests include: Stochastic Volatility: Asymptotic analysis, calibration, and impact on option pricing and portfolio optimization. Mean Field Games: Applications to cryptocurrency mining, energy markets, and interbank network formation. Portfolio Theory: Forward performance processes, drawdown constraints, and risk-averse strategies. Credit Risk: Multi-name credit derivatives, CDO valuation, and risk measures. Energy Systems: Renewable reliability, unit commitment, and electricity market design. Recent publications emphasize mean field games in energy and blockchain, stochastic volatility in portfolio optimization, and machine learning applications for financial engineering. He has advised graduate students such as Giulia Crippa, Nicolas Garcia, and Burak Aydin, often collaborating with researchers including M. Soner, P. Chan, and A.M. Reppen.
Dr. Yuzhang Lin is an Assistant Professor in the Department of Electrical and Computer Engineering at NYU Tandon School of Engineering. Previously, he held an Assistant Professor position at the University of Massachusetts Lowell (2018–2023). He earned his Ph.D. from Northeastern University and B.Eng./M.S. from Tsinghua University. His research focuses on smart grids, renewable energy systems, cyber-physical resilience, and machine learning applications. He leads editorial roles for IEEE Transactions on Power Systems and chairs IEEE PES Task Forces on standard test cases and distribution system operations. Dr. Lin’s research has been funded by NSF, DOE, ONR, and others. He is a recipient of the NSF CAREER Award and Northeastern’s Graduate Student Outstanding Research Award. His work emphasizes data-driven solutions for grid resilience, including state estimation, cyber-physical defense, and distributed energy integration. The Lin Group actively seeks PhD candidates interested in advancing smart grid technologies. Education: Ph.D. (Northeastern University), B.Eng./M.S. (Tsinghua University) Grants: NSF, DOE OE/EECE/CESER, ONR, NYSERDA, MassCEC Service Roles: IEEE PES Task Force Co-chair (Standard Test Cases), Secretary (Distribution System Operations Subcommittee) Publications span top journals/conferences, focusing on state estimation, inverter-based resource control, and machine learning for grid systems. His lab develops cutting-edge tools for power system resilience and renewable energy integration.
Seddik M. Djouadi is a Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD from McGill University (1999), an M.A.Sc. from École Polytechnique (1992), and a B.Sc. from École Nationale Polytechnique (1989). His research focuses on robust control, distributed systems, wireless communication, model reduction, and power networks. He has authored over 100 publications and received awards including recognition as an outstanding reviewer by Automatica (2006-2007, 2003-2004) and the Tibbets Award (1999). Education: PhD in Electrical Engineering, McGill University, 1999 M.A.Sc., École Polytechnique, 1992 B.Sc., École Nationale Polytechnique, 1989 Research Interests: Robust and distributed control Wireless communication systems Model reduction for fluid flows Power network dynamics and renewable integration Biological systems modeling Cyber-physical systems security Awards: Outstanding Reviewer, Automatica (2006-2007, 2003-2004) Best Paper Award, Mediterranean Conference on Intelligent Systems (2008) Ralph E. Powe Junior Faculty Enhancement Award (2005) Tibbets Award (1999) Students and Advising: Djouadi has mentored over 20 graduate students and postdoctoral researchers, including current advisees Yichen Zhang and Ehsan Raoufat. Notable past students include Jin Dong (now at Oak Ridge National Laboratory) and Xiao Ma (Western Digital). Projects: Current research includes distributed control of large power networks, data-driven nonlinear model reduction, and stochastic modeling of wireless systems. Collaborations involve ORNL and TVA on energy systems and cybersecurity.
Associate Professor Madeline Taylor is an Australian Research Council (ARC) Early Career Industry Fellow at Macquarie Law School and Co-Lead of the Energy, Communities, and Market Regulation Stream at the Transforming Energy Markets Research Centre. She specializes in socio-legal aspects of energy transition, focusing on regulatory frameworks, energy justice, and land-use conflicts between energy developers and communities. Her work bridges property law, commercial law, and comparative law to address challenges in renewable energy integration and resource governance. Affiliations: Honorary Associate at Sydney Environment Institute, Member of Sydney Institute of Agriculture Industry Partners: NSW Department of Primary Industries and Spark Renewables (FAARM Project) Research Interests: Energy law and policy, agricultural-legal synergies, renewable energy siting, and just transition principles. She co-edits the Oil, Gas and Energy Law Journal and contributes to the LexisNexis Energy and Resources Law in Australia . Recent Articles Highlight Key Themes: Offshore wind governance, agrivoltaics regulatory systems, hydrogen licensing, and energy justice frameworks. These works emphasize interdisciplinary approaches to balancing economic, environmental, and social dimensions of energy transitions. Awards: 2023 Lawyers Weekly Women in Law Academic/Researcher of the Year, 2024 AFR Higher Education Awards Finalist, Clean Energy Council Transformational Leadership Scholarship Teaching and Engagement: Embeds climate justice in commercial law education; advises governments and NGOs on energy policy. Active in RE-Alliance Management Committee and IUCN Climate Change Law initiatives.
Gregory Paradis is an Assistant Professor in the Department of Forest Resources Management at the University of British Columbia (UBC) Faculty of Forestry. His research focuses on sustainable forest management, integrating operations research, mathematical optimization, and systems modeling to address complex interactions between ecosystems, industries, and society. He works with the FRESH Lab and collaborates with the Integrated Remote Sensing Studio, emphasizing ecological and economic integration in forest planning. Sustainable Forest Management Operations Research Forest Economics Data Science Risk Assessment GIS-based Methods His research spans forest inventory optimization, climate change adaptation strategies, wildfire risk modeling, and decision support systems for invasive species. He develops computational frameworks to enhance wood supply planning, carbon management, and ecological resilience. Recent work includes machine learning applications for fire safety in timber structures and automated road planning tools for wildlife conservation. Paradis’s publications highlight trends in applying optimization methods to sustainable forestry, with a focus on biodiversity, climate adaptation, and value chain innovation. He advocates for interdisciplinary approaches that bridge silviculture, industrial engineering, and data science to tackle emerging challenges in forest ecosystems. As an educator, he seeks motivated students with quantitative and creative problem-solving skills. His lab collaborates on remote sensing integration, risk assessment models, and policy-relevant forest management strategies, ensuring plans account for uncertainties like insect infestations or windthrow events.
LIN Meng is an Associate Professor at the Department of Mechanical and Energy Engineering , Southern University of Science and Technology (SUSTech) . He holds a Ph.D. in Mechanical Engineering from Swiss Federal Institute of Technology in Lausanne (EPFL) (2018) and has held postdoctoral positions at Caltech's Joint Center for Artificial Photosynthesis (2018-2019). Research Interests include solar thermal/thermochemical/(photo)electrochemical energy conversion devices , CO2 capture and utilization , and multi-scale modeling and simulation . His work focuses on optimizing energy systems through advanced computational models and cross-disciplinary integration of physics. Recent Publications highlight his contributions to solar fuel processing, CO2 conversion technologies, and hybrid electrochemical systems, with articles in Nature Communications , Joule , and Energy & Environmental Science . His research emphasizes scalable solutions for sustainable energy and carbon management. Scientific Awards ASME Graduate Student Award (2018) Outstanding Reviewer of Solar Energy (2018, 2015) Swiss National Science Foundation Postdoc Fellowship (2017) Shanghai Outstanding Master Thesis (2016) Shanghai Jiao Tong University Outstanding Graduate (2013)
Associate Professor Lasantha Meegahapola is a Deputy Head of Department (Teaching & Learning) at RMIT University's School of Engineering in Melbourne, Australia. He holds an IEEE Senior Membership and serves as an Associate Editor for several prestigious journals, including IEEE Transactions on Power Systems and IET Renewable Power Generation. His research focuses on Power System Stability with Renewable Integration, Microgrid Control, and Smart Grid Technologies, addressing challenges like voltage stability, inverter-based grid dynamics, and renewable energy penetration. He has supervised 16 PhD students to completion and published over 200 articles. Key contributions include identifying stability issues in microgrids and advancing grid-forming inverter control strategies. His work aligns with UN Sustainable Development Goals 7 (Clean Energy), 9 (Infrastructure), and 13 (Climate Action). He is actively involved in IEEE committees, including the PSDP Task Force on Microgrid Stability. Teaching roles include Programme Manager for the Bachelor of Electrical Engineering (HK) and Subject Coordinator for Power System Analysis and Control courses. Collaborations span industry and international research institutions, emphasizing real-world applications of his research in power systems and renewable energy integration.
