Find Academic Supervisors

• Seismology
• Earthquake Physics
• Induced Seismicity
• +4 more

Alexandros Savvaidis is a Research Professor at the Bureau of Economic Geology, part of the Jackson School of Geosciences at The University of Texas at Austin. He serves as the Manager of the Texas Seismological Network (TexNet) and has over 30 years of experience in seismology and applied geophysics. His expertise spans earthquake physics, induced seismicity, engineering seismology, and geophysical data modeling. Savvaidis leads real-time seismic monitoring efforts across Texas, managing a network of 210 stations, and previously managed Greece's largest seismographic network. His research focuses on causal factors of induced seismicity linked to oil/gas operations, geothermal projects, and wastewater disposal, alongside developing machine learning tools for seismic data analysis. His technical work includes advanced inversion algorithms for crustal modeling using Texas Advanced Computing Center (TACC) resources, and he has pioneered methods like EQCCT for earthquake detection and phase picking. Savvaidis is also involved in disaster risk reduction initiatives and contributes to the Center for Collective Impact in Earthquake Science (C-CIES), emphasizing interdisciplinary approaches to earthquake science. Recent research trends highlight his focus on integrating AI into seismology, including earthquake forecasting datasets (AEFA), deep learning for seismic event classification, and real-time monitoring systems. His work bridges academic research with industrial applications, collaborating on projects funded by European and U.S. agencies. He advocates for improved seismic monitoring infrastructure in regions like New Jersey and Texas, emphasizing the need for precise data-driven strategies to address anthropogenic seismic hazards.

Duane RobinsonView profile

Associate Professor

• Power Transmission and Distribution Systems
• Energy Efficiency
• Renewable Energy Applications
• +2 more

Duane Robinson is an Associate Professor at the Faculty of Engineering and Information Sciences, University of Wollongong. He serves as Director of the Australian Power Quality and Reliability Centre and Deputy Director of the Sustainable Buildings Research Centre. Robinson completed his B.E. (Hons I) in Electrical Engineering at University of Wollongong in 1998 and his PhD on harmonic distortion in distribution systems at the Integral Energy Power Quality Centre. His research focuses on modelling, analysis and control of power transmission/distribution systems, energy efficiency, renewable energy applications, microgrids, and power quality mitigation techniques. Recent publications demonstrate strong emphasis on PV integration challenges, harmonic analysis, voltage control optimization using AI techniques, and economic impacts of power quality issues. Award highlights include the 2018 Best Research Paper Award (International Conference on Sustainability in Energy and Building) and 2004 Cresswell Award from Electric Energy Society of Australia. Robinson leads multiple PhD projects on energy flexibility, grid-forming inverters, and AI-based control systems.

• Industrial Net Zero Transition
• Automation in Mining
• Hybrid Systems Control
• +3 more

Dr. Honglei Xu is an Associate Professor of Industrial Optimization and Engineering at Curtin University, specializing in industrial system optimization for net-zero transition. He serves as Node Leader of ATN Industry Doctoral Training Centre and Mathematics Honours Coordinator. His research spans automation in mining, hybrid systems control, and optimization in construction and energy sectors. Recent publications demonstrate interdisciplinary approaches combining operations research, AI, and control theory for sustainable industrial solutions. Honors include IEEE Senior Membership and JSPS Fellowship. Current projects focus on public transport optimization, renewable energy forecasting, and intelligent control systems for mineral processing. Dr. Xu teaches courses in mathematical modeling and production planning while serving as associate editor for multiple international journals including Complexity and Energies.

Gord WillmotView profile

Professor

• Actuarial Science
• Insurance Mathematics
• Ruin Theory
• +5 more

Gord Willmot is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo and an Adjunct Professor at the University of Toronto. He holds the endowed position of Munich Re Professor of Insurance. His research focuses on insurance mathematics, particularly aggregate claims models, ruin theory, and surplus analysis using tools from applied probability and mathematical reliability theory. He is a co-author of the textbook Loss Models , widely used in professional actuarial exams. Willmot earned his BMath (1980), MMath (1981), and PhD (1986) from the University of Waterloo. He is a Fellow of the Society of Actuaries (F.S.A.) and the Canadian Institute of Actuaries (F.C.I.A.). His work includes contributions to discounted penalty functions, Laplace transform techniques, and phase-type distributions in risk analysis. He has taught at international conferences, including the Ninth International Congress on Insurance: Mathematics and Economics. Key research areas include ruin probability analysis, time-dependent risk models, and reinsurance treaties. His publications span journals like Insurance: Mathematics and Economics and Scandinavian Actuarial Journal , addressing topics such as Coxian interclaim times, mixed Erlang distributions, and deficit analysis at ruin. Willmot’s expertise bridges theoretical advancements and practical applications in insurance risk management.

Jess CornaggiaView profile

Professor

• Financial Intermediation
• Corporate Finance
• Credit Ratings
• +4 more

Jess Cornaggia is the Alumni Professor of Finance at the Smeal College of Business, Pennsylvania State University. She holds a Ph.D. in Management Science from the University of Texas at Dallas, along with an MBA and B.S. from Gonzaga University. Her research focuses on financial intermediation, corporate finance, credit ratings, student debt, household finance, fintech, and ESG. She serves as an Associate Editor at Management Science and the Journal of Banking and Finance . Education: Ph.D. in Management Science, University of Texas at Dallas (2009) MBA, Gonzaga University B.S., Gonzaga University Research Interests: Professor Cornaggia explores critical areas including the impact of financial systems on households and corporations, the role of credit ratings in public and private finance, student debt dynamics, and the intersection of ESG with investment strategies. Her work frequently examines how innovations like fintech reshape traditional financial frameworks and how environmental policies influence local economies. Advising & Grants: While specific student advisees are not listed, her research frequently addresses policy-relevant topics such as disaster financial resilience and affordable housing impact investments, indicating active engagement in applied research collaborations. Labs/Teams: No specific labs or teams are mentioned in the provided materials.

Xin FangView profile

Assistant Professor

• Power System Optimization
• Cyber-Physical Systems
• Renewable Energy Integration
• +3 more

Xin Fang is an Assistant Professor in the Electrical & Computer Engineering Department at Mississippi State University, affiliated with the Bagley College of Engineering. His research focuses on power system optimization with uncertainty, cyber-physical dynamic modeling, and renewable energy integration. He holds a Ph.D. from the University of Tennessee, Knoxville, an M.S. from China Electric Power Research Institute, and a B.S. from Huazhong University of Science and Technology. Education: Ph.D., Electrical and Computer Engineering, University of Tennessee, Knoxville, 2016 M.S., Power System Automation, China Electric Power Research Institute, 2012 B.S., Power System Automation, Huazhong University of Science and Technology, 2009 His research interests emphasize cyber-physical systems integration, grid resiliency through multi-timescale modeling, and equitable energy distribution. Recent work addresses challenges in high-renewable grid operations, including dynamic co-simulation frameworks for electricity-transportation networks. He explores innovative solutions for frequency stability, voltage control, and market mechanisms for emerging energy systems. Publications highlight advancements in hybrid power plant optimization, distributed energy resource coordination, and equitable load-shedding methodologies. His work bridges theoretical modeling with practical applications in grid security and renewable integration.

Damian PittView profile

Associate Professor

• Energy Policy
• Climate Policy
• Renewable Energy
• +2 more

Damian Pitt is an Associate Professor at Virginia Commonwealth University's L. Douglas Wilder School of Government and Public Affairs. His research focuses on sustainable energy policy, climate action planning, and the land use impacts of renewable energy. Pitt serves as Associate Director of Policy and Community Engagement for the VCU Institute for Sustainable Energy and Environment and has contributed to key state energy policies. His work examines solar energy deployment, energy efficiency programs, and climate mitigation strategies, with emphasis on equity and economic impacts. Recent studies include analyses of Virginia's participation in the Regional Greenhouse Gas Initiative (RGGI) and utility-scale solar development. Pitt's publications demonstrate consistent focus on renewable energy economics, policy frameworks, and sustainable land use. His 15 most recent articles explore solar potential modeling, distributed energy benefits, and collaborative climate governance across international contexts.

• Nuclear Engineering
• Thermal Hydraulics
• Molten Salt Reactors
• +3 more

Matthew J. Memmott is an Associate Professor in the Department of Chemical & Biological Engineering at Brigham Young University (BYU). His research focuses on advanced nuclear reactor technologies, particularly molten salt reactors, thermal energy storage systems, and nuclear safety systems. He is actively involved in the design and analysis of next-generation nuclear reactors, including the BYU molten salt microreactor and the Integral Inherently Safe Light Water Reactor (I2S-LWR). His work emphasizes thermal hydraulics, neutronics, and multi-objective optimization for nuclear systems. Memmott has contributed to the development of passive safety systems, such as the Passive Endothermic Reaction Cooling System (PERCS), and has explored applications of machine learning in reactor design and thermal management. His academic background includes expertise in fluid dynamics, thermodynamics, and reactor engineering. Memmott’s research spans both theoretical and experimental domains, with notable projects involving dynamic modeling using tools like RELAP5-3D. He has published extensively on topics such as molten salt properties, fission product behavior, and hybrid energy systems integration. His work aims to enhance reactor safety, efficiency, and flexibility while addressing challenges in nuclear waste management and renewable energy coupling. Motivated by the need for sustainable energy solutions, Memmott’s recent studies include multi-scale optimization of hybrid energy systems and the characterization of novel molten salt eutectics for reactor applications. His contributions have been disseminated through peer-reviewed journals, conference proceedings, and industry collaborations. While no specific awards are mentioned in the provided texts, his impactful research has positioned him as a key figure in the field of advanced nuclear reactor technology.

Salvador NayaView profile

Professor

• Statistics
• Operations Research
• Data Analytics
• +7 more

Salvador Naya is a Professor of Statistics and Operations Research at the University of A Coruña, affiliated with the Polytechnic School of Engineering (EPEF). He is a researcher in the Modeling, Optimization and Statistical Inference Group (MODES) and linked to the CITIC Research Center. His work focuses on statistical methodologies applied to maritime technology, energy efficiency, materials science, and interlaboratory studies. Recent activities include a keynote lecture on data and AI applications across domains (land, sea, air, space) at the Ferrol Industrial Campus. Research interests span statistical quality control, predictive modeling for naval engineering, thermal degradation analysis of biomaterials, and anomaly detection in energy systems. He collaborates with industry partners like Navantia Seanergies and has contributed to projects on Panama Canal vessel transit optimization, renewable energy, and waste-to-resource initiatives. His academic contributions include R package development (e.g., TTS, ILS) for statistical analysis in materials science and interlaboratory studies. He actively engages in education and industrial partnerships, emphasizing Industry 4.0 applications in maritime and construction sectors.

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.

Heyno GarbeView profile

Professor

• Electromagnetic Compatibility
• Electromagnetic Interference
• Electromagnetic Field Theory
• +3 more

Prof. Heyno Garbe is a faculty member in the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, affiliated with the Institute for Fundamentals of Electrical Engineering and Measurement Technology . His research focuses on electromagnetic compatibility (EMC), transient signal analysis, and measurement techniques. He leads projects on TEM cells, wind turbine electromagnetic emissions, and system vulnerability against intentional electromagnetic interference (IEMI). Key research interests include: Development and validation of test methods for EMC standards Coupling mechanisms of transient electromagnetic fields Electromagnetic interference in critical infrastructure and wireless systems Recent work explores: Field inhomogeneity in TEM cells Influence of wind turbines on navigation systems Risk analysis of IEMI threats using fuzzy-logic approaches He collaborates with industry and EU projects, such as the STRUCTURES initiative for critical infrastructure assessment. His lab develops test rigs for unmanned aerial vehicle (UAV) susceptibility testing and advanced measurement setups for transient signal characterization.

Payam KhazaeinejadView profile

Associate Professor

• Computational solid mechanics
• Bio-inspired materials design
• Architected & smart materials/structures
• +7 more

Payam Khazaeinejad is Associate Professor of Solid Mechanics at Kingston University London, where he also serves as School Director of Learning & Teaching and leads the IMechE-accredited Monitored Professional Development Scheme. A Chartered Engineer & Scientist, he is Senior Fellow of Advance HE, Fellow of IMechE, Senior Member of AIAA and sits on multiple national boards including IMechE Council and EPSRC Peer Review College. Education & Continuous Development PhD Engineering, University of Edinburgh (2016) MSc Mechanical Engineering – Applied Mechanics (2006) BEng Mechanical Engineering – Solid Mechanics (2004) MIT Professional Education – Machine Learning for Materials Informatics (2024) Chartered Manager Bootcamp, CMI Level 5 Diploma (2023) Certificate in Innovation in Teaching, Laspau/Harvard (2021) Chartered Engineer & Chartered Scientist status (2021, 2024) Research Interests His research integrates computational solid mechanics with bio-inspired design to create architected materials and structures that are lightweight, adaptive and resilient. Using high-fidelity finite-element and discrete-element modelling he investigates failure mechanisms under extreme thermomechanical environments, with applications spanning pharmaceutical tablet compaction, biomedical scaffolds for bone regeneration, floating solar-panel arrays, fire-exposed steel plates and subsea riser systems. Across 50+ peer-reviewed works he has advanced analytical solutions for functionally graded shells, nonlinear thermo-elastic plates, vibration of micro-composite skew plates and efficient riser elements, while recent outputs concentrate on additive-manufactured aerospace mounts, 3-D printed biodegradable scaffolds and data-driven engineering curricula. Honours & Recognition Provost's Award for Learning & Teaching Excellence 2025 Enterprising Value Award, Kingston People Awards 2024 Senior Fellow, Advance HE Fellow, Institution of Mechanical Engineers Senior Member, AIAA Chartered Engineer & Chartered Scientist (UK Engineering & Science Councils) Leadership & External Examining He is Chief External Examiner at UWE Bristol (2024-present) and External Examiner at Manchester Met and University of East London, having served on programme-revalidation panels nationwide. At Kingston he directs learning & teaching for the School of Engineering, chairs the IMechE Structural Technology & Materials Group, and founded the Engineering Simulation Group.

Fang LuoView profile

Associate Professor

• Power Electronic Converters and Systems
• Power Module Packaging
• EMI Modeling and Mitigation

Fang Luo is the Empire Innovation Associate Professor and Director of the Spellman High Voltage Power Electronics Laboratory at Stony Brook University's Department of Electrical and Computer Engineering. He is affiliated with the College of Engineering and Applied Sciences, focusing on advancing power electronics technologies. His research interests encompass Power Electronic Converters and Systems, Power Module Packaging, and EMI Modeling and Mitigation. These areas address challenges in high-voltage systems, renewable energy integration, and electromagnetic compatibility. Dr. Luo's work emphasizes practical applications, such as optimizing power converters for offshore wind farms and developing advanced packaging solutions for wide bandgap (WBG) semiconductors. His laboratory, the Spellman High Voltage Power Electronics Lab, drives innovation in high-voltage systems and energy-efficient power electronics. His recent publications highlight advancements in HVDC wind energy systems, GaN-based converter designs, and EMI mitigation strategies. He has contributed to the design of modular power converters and cryogenic power electronics for electric aircraft propulsion. As a leader in his field, Dr. Luo's research bridges theoretical modeling and practical engineering solutions, with a focus on sustainable energy systems and cutting-edge semiconductor technologies.

Markos AnastasopoulosView profile

Associate Professor

• Optical Communications
• Wireless Networks
• Mobile Computing
• +3 more

Markos Anastasopoulos is Associate Professor at the National and Kapodistrian University of Athens, specializing in optical/wireless networks and mobile computing. His research focuses on 5G/6G network convergence, intent-based management, and AI-driven optimization for telecommunications. Recent publications address THz-optical integration, federated learning in transport networks, and semantic-aware radio systems. Applied work includes intelligent asset management for railways and techno-economic analyses of network deployments. Recognized with best dissertation and best paper awards, his research bridges theoretical networking with industrial applications in transportation and cloud infrastructure.

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.