Find Academic Supervisors

Dimitrios KarolidisView profile

Lecturer

• Web Application Development
• Geographic Information Systems
• Educational Technology
• +5 more

Dimitrios Karolidis is a Lecturer at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica (UniWA). He holds a Bachelor's degree in Physics from the University of Ioannina and a Master's in New Information and Communication Technologies from the National and Kapodistrian University of Athens (NKUA). Education: BSc in Physics, University of Ioannina MSc in New Information and Communication Technologies, NKUA His research focuses on Web Application Development , Internet Technologies , and Machine Learning . He has contributed to photovoltaic system optimization through projects like SmartPV , emphasizing fault detection, energy efficiency, and IoT integration. His publications highlight advancements in smart photovoltaic systems , including fault detection algorithms and communication protocols, aiming to reduce maintenance costs and improve energy output. He has also authored textbooks on programming languages like C and Python, widely used in academic settings. He has previously held academic positions at the Technological Educational Institute of Athens (2007-2018) and TEI Piraeus , working on laboratory and teaching roles related to computer systems and networks.

• Power Systems Engineering
• Microgrid Technology
• Renewable Energy Integration
• +3 more

Kumaraguru Prabakar is a researcher at the National Renewable Energy Laboratory (NREL) specializing in power systems engineering. His work focuses on microgrid technology, distributed energy resource integration, and grid support systems. Key collaborations include research with Hawaiian Electric and academic institutions on renewable energy solutions. Research Output: 115+ publications (2015–2025) Key Areas: Inverter engineering, microgrid stability, hydrogen energy systems, and electromagnetic transient simulations Recent research trends involve seamless integration of hydrogen electrolysis, wave energy, and photovoltaic inverters into distribution grids, with emphasis on advanced control algorithms and grid resilience. He actively contributes to hardware-in-the-loop testing methodologies for microgrid controllers. His experimental work includes validating grid-forming inverter interoperability, analyzing battery inverter performance, and developing data-driven voltage control strategies. Platforms like the Vulcan Test Platform and PHIL interfaces are central to his research.

• Electrochemical Energy Storage
• System Design Methodologies
• Energy Systems Optimization
• +5 more

Prof. Dr. Walter Commerell serves as Professor at Technische Hochschule Ulm (THU) , holding the role of International Representative for the Faculty of Production Engineering and Production Management. He is the Spokesperson for ASIM (Simulation of Technical Systems Division) and Head of Steinbeis Transfer Center System Design , while also being a member of the International Energy Competence Center (IECN) and Institutes for Energy and Drive Technology/Vehicle Systems Technology.

Zhan LiuView profile

Researcher

• Thermal Management
• Fluid Dynamics
• Pollutant Dispersion
• +5 more

Dr. Zhan Liu is affiliated with Southwest University of Science and Technology, where he conducts advanced research in thermal systems, fluid dynamics, and energy storage technologies. His work focuses on hydrogen fuel cell vehicles, liquefied natural gas storage, and industrial ventilation systems. His research interests include: Thermal Management in Energy Systems Fluid Sloshing and Thermo-Mechanical Coupling Pollutant Dispersion in Industrial Environments Hazard Control in Hybrid Ventilation Systems Hydrogen Storage Tank Performance Renewable and Clean Energy Engineering The recent publications indicate a strong focus on modeling and experimental analysis of thermal and fluid behavior in next-generation energy and industrial systems, particularly under extreme or dynamic conditions such as rapid charging and intermittent ventilation. Dr. Liu actively collaborates with researchers from Chongqing University and other institutions, contributing to impactful studies in high-impact energy and engineering journals. He has not listed any scientific awards or formal mentoring roles in the provided text.

Feng WangView profile

Professor

• Theoretical and Computational Chemistry
• Molecular Spectroscopy
• Sustainable Aviation Fuels
• +7 more

Professor Feng Wang is a leading academic in theoretical and computational chemistry at the Department of Chemistry and Biotechnology, School of Science, Computing and Emerging Technologies, Swinburne University of Technology, Melbourne, Australia. She holds a PhD from the University of Newcastle and has held research positions at the University of Waterloo, University of Melbourne, and Swinburne. Education: PhD, The University of Newcastle, Australia MSc (Quantum Chemistry by Research), Sichuan University, China BSc (Physical Chemistry), Sichuan University, China Prof Cert (Teaching Practice, Higher Education), Swinburne University of Technology, Australia Her research spans molecular spectroscopy, sustainable aviation fuels, corrosion science, and computational drug design, with applications in energy, environment, and pharmaceuticals. She employs advanced methods like density functional theory (DFT), molecular dynamics, and machine learning to study molecular systems and materials. Her recent publications (2024–2025) reflect a strong focus on sustainable energy materials—particularly high-energy-density aviation fuels (e.g., JP-10, norbornyl derivatives), CO2 conversion, and battery aging—alongside computational drug discovery for SARS-CoV-2 and flavonoid-based antivirals. These works integrate quantum mechanics, NMR analysis, and AI-driven modeling. Scientific Awards and Honors: Fellow, Royal Australian Chemical Institute (RACI) Fellow, Australian Institute of Physics (AIP) Vice-Chancellor's Research Award, Swinburne University of Technology Professor Wang actively mentors PhD and Master’s students and leads nationally funded research projects. She serves on the Australian Research Council (ARC) College of Experts and has chaired the National Computational Merit Allocation Scheme (NCMAS). She evaluates proposals for international agencies including FRQNT (Canada), SFI (Ireland), FCT (Portugal), and SNSF (Switzerland). Her lab, the Digital Chemistry Research Laboratory, contributes to UN Sustainable Development Goals 7 and 13.

Johanna MathieuView profile

Associate Professor

• Power Systems
• Control Systems
• Optimization
• +3 more

Johanna Mathieu serves as an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, focusing on reducing environmental impact and inefficiency in electric power systems through innovative operational strategies. Her academic background includes: S.B. from the Massachusetts Institute of Technology (MIT) M.S. and Ph.D. from the University of California, Berkeley Postdoctoral research at ETH Zurich's Power Systems Laboratory Professor Mathieu specializes in integrating distributed energy resources—such as energy storage, flexible loads, and renewable generation—into power grids with high renewable penetration. Her methodology combines control systems theory and optimization techniques to develop active grid management strategies while bridging engineering analysis with energy policy formulation. She actively mentors graduate students and leads research initiatives as Director of the Institute for Energy Solutions and member of the Michigan Power and Energy Lab (MPEL), where her team develops solutions for modern grid challenges.

Marco RossiView profile

Associate Professor

• Mechanical Engineering
• Materials Science
• Plasticity
• +9 more

Marco Rossi is an Associate Professor at Marche Polytechnic University in the College of Engineering , affiliated with the Department of Industrial Engineering and Mathematical Sciences . His research focuses on Mechanical Engineering and Materials Science , particularly the plasticity and fracture mechanics of sheet metals and additive manufacturing materials , utilizing advanced techniques like digital image correlation and inverse problems in computational mechanics . Scientific Sector: IIND-03/A - Mechanical Design and Machine Construction Contact: m.rossi@staff.univpm.it , via Brecce Bianche, Ancona, Italy His work emphasizes 3D anisotropic plasticity models , material calibration for sheet metal forming , and thermomechanical characterization of metals. Recent publications highlight applications of virtual fields method (VFM) and finite element model updating (FEMU) in optimizing experimental setups for additive manufacturing and high-strain testing . Key Research Areas: Mechanical Design Plasticity Modeling Digital Image Correlation Inverse Identification 3D Printing Material Behavior Tensegrity Structural Systems

• Chemical Engineering
• Process Intensification
• Sustainable Energy
• +8 more

Cornelius Masuku is an Associate Professor of Engineering Practice at Purdue University's Davidson School of Chemical Engineering, where he has been since August 2020. He holds a B.Sc. Eng. (2005) and Ph.D. (2012) from the University of the Witwatersrand, followed by a Postdoctoral Fellowship at Carnegie Mellon University (2017–2020). His research focuses on sustainable energy and decarbonization of chemical processes, with emphasis on reactor design and modeling, catalysis, and process intensification. Key areas include CO₂-free hydrogen production, Fischer-Tropsch synthesis optimization, and photocatalytic processes for renewable fuels. He investigates innovative technologies like induction heating for steam methane reforming and electrification of industrial processes to enhance energy efficiency and reduce emissions. Recent work highlights include studies on multi-dimensional reactor modeling, decarbonization strategies through electrification, and the development of sustainable downstream refining options for biomass-to-liquid (BTL-FT) fuels. His interdisciplinary approach integrates computational fluid dynamics, process optimization frameworks, and catalytic materials research. While specific grants or student advisees are not detailed here, his research is supported through institutional and collaborative initiatives. He is affiliated with Purdue’s chemical engineering research groups focused on sustainable fuels and process engineering. Dr. Masuku’s contributions span over 50 peer-reviewed publications since 2007, addressing topics ranging from Fischer-Tropsch product distribution to solar-driven hydrogen production. His work bridges fundamental catalytic research with scalable industrial applications.

Sihang LiuView profile

Assistant Professor

• Computer Architecture
• Computer Systems
• Persistent Memory Systems
• +3 more

Dr. Sihang Liu is an Assistant Professor in the School of Computer Science at the University of Waterloo. Prior to this role, he served as a visiting faculty member at SystemsResearch@Google. He holds a PhD from the University of Virginia, where his research was supported by the Google Fellowship Award. His academic career has been marked by contributions to computer architecture, systems, and persistent memory technologies. Dr. Liu's research interests span computer architecture, systems, and cybersecurity, with a focus on persistent memory systems, energy-efficient computing, and data center optimization. His work bridges hardware-software co-design and explores challenges in scalable computing, fault tolerance, and sustainable AI systems. His recent publications highlight advancements in adaptive memory tiering (HybridTier), carbon intensity forecasting (EnsembleCI), and securing persistent memory (Side-Channel Attacks on Optane). These contributions underscore his commitment to addressing critical issues in modern computing systems' performance, security, and environmental impact. Awards: Google Fellowship Award (PhD), NVMW Memorable Paper Award Finalist (2019), 2019 MICRO Top Picks Honorable Mention Professional Service: Program committees for ISCA, MICRO, ASPLOS; Artifact evaluation roles in leading conferences As an advisor, Dr. Liu mentors a diverse group of students, including current PhD candidates Henry Tian and Desen Sun, and numerous undergraduates. His lab focuses on innovation in sustainable computing and resilient systems design.

Peter AlstoneView profile

Associate Professor

• Energy Systems
• Renewable Energy
• Off-Grid Power Solutions
• +3 more

Peter Alstone is an Associate Professor at California Polytechnic State University, Humboldt's School of Engineering. His research focuses on distributed electricity technology, demand response systems, off-grid energy solutions in developing regions, and the nexus of information technology with energy systems. He holds a PhD in Energy and Resources from UC Berkeley, an MS in Environmental Systems and Technology from Humboldt State University, and a BS in Chemical Engineering from North Carolina State University. PhD: Energy and Resources (UC Berkeley) MS: Environmental Systems and Technology (Humboldt State University) BS: Chemical Engineering (North Carolina State University) Dr. Alstone's work emphasizes sustainable energy access, grid resilience, and decarbonization strategies. His research bridges technical innovation with policy implications, particularly in underserved regions. He leads studies on demand response mechanisms to support renewable energy integration, wildfire resilience in rural infrastructure, and the environmental impacts of off-grid fossil fuel generators. His recent articles analyze California's demand response potential through 2050, global off-grid energy challenges, and wildfire mitigation technologies for Indigenous communities. He collaborates on grid-interactive microgrids and energy-efficient technologies for developing countries. Alstone's research has contributed to understanding the 'dirty footprint' of fossil-fuel reliant off-grid systems and advancing LED lighting market dynamics in sub-Saharan Africa. His work frequently intersects with environmental justice and climate adaptation. He is affiliated with the Sustainable Energy Research Center (SERC) at Humboldt State University and actively engages in community-oriented energy projects.

• Microgrids
• Power Electronics Systems
• Renewable Energy Systems
• +3 more

Dr. Ali Davoudi is a Professor of Electrical Engineering at The University of Texas at Arlington (UTA), where he also serves as Co-Director of Research Programs in the College of Engineering. He holds a B.Sc. from Sharif University of Technology (2003), M.A.Sc. from The University of British Columbia (2005), and Ph.D. from The University of Illinois at Urbana-Champaign (2010). His research focuses on microgrids, power electronics systems, renewable energy systems, and electrified transportation, with particular expertise in control systems and energy conversion. Dr. Davoudi has authored/co-authored over 136 journal articles, 87 conference papers, and holds two U.S. patents. His work has been recognized with prestigious awards, including the IEEE Fellow (2023), Fellow of the Asia-Pacific AI Association (2022), and the 2017 IEEE Richard M. Bass Outstanding Young Engineer Award. He has led federal-funded projects totaling over $6.2 million, focusing on resilient DC power systems, naval microgrids, and energy storage optimization. His research emphasizes distributed control, formal verification, and resilience in power systems, with applications to naval, smart grid, and electrified transportation technologies. Key contributions include adaptive dynamic programming for multi-agent systems, bipartite output containment, and robust control of DC microgrids under adversarial attacks.

Hendrik LensView profile

Professor

• Power Systems
• Grid Stability
• Renewable Energy Integration
• +4 more

Hendrik Lens is a **Professor for Power Plant and Grid Systems** and **Director of the Institute** at the University of Stuttgart's **Institute of Combustion and Power Plant Technology (IFK)**. He leads the **Power Generation and Automatic Control (SuA) department**, focusing on advanced grid technologies and energy system optimization. His research emphasizes **grid stability**, **renewable energy integration**, and **converter control strategies**. Key contributions include studies on grid-forming converters, inertia-aware generation planning, and dynamic network equivalents. He collaborates internationally on projects like the *VerbundnetzStabil initiative* analyzing interconnected power systems. Publications span **18 journals/conferences in 2024 alone**, with a focus on smart grid technologies and decarbonization strategies. His work addresses challenges such as frequency containment reserves, distributed generation impacts, and stochastic unit commitment tools. Operates within the Institute of Combustion and Power Plant Technology, contributing to both academic and applied research in sustainable energy systems.

Jamil A. KhanView profile

Professor

• Heat Transfer Enhancement
• Microchannel Cooling
• Nuclear Thermal Hydraulics
• +2 more

Dr. Jamil A. Khan is Professor and Director of College Faculty Affairs in Mechanical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on thermal-fluid sciences with applications in energy systems, nuclear safety, and electronics cooling. Research investigates enhanced heat transfer through micro/nano-scale surface engineering, nanofluid development, and multiphase flow optimization. Recent work includes nuclear fuel thermal management, spray cooling enhancements, and ionic liquid-based nanofluids for solar applications. Honors include ASME Fellow status and Research Achievement Award. Funded projects exceed $35 million from DOE, ONR, and NRC, supporting nuclear thermal-hydraulics and naval power systems research. Manages in excess of $35 million in funded projects with industry and government partners. Teaching covers heat transfer, fluid mechanics, and energy systems at undergraduate and graduate levels. Mentors doctoral candidates in thermal sciences and nuclear engineering.

Jaedo ParkView profile

Professor

• Energy conversion/storage systems
• High-performance machine drive systems
• Renewable energy systems
• +4 more

Jae-Do Park is a Professor of Electrical Engineering at the University of Colorado Denver, affiliated with the College of Engineering, Design and Computing. He joined the faculty in 2009 with 12 years of industry experience in electric machine drive systems and has since focused on flywheel energy storage systems and microgrid technologies. His research is sponsored by the National Science Foundation (NSF), Office of Naval Research (ONR), and private industry. Education: PhD in Electrical Engineering (implied by title). Research interests include high-performance machine/drive systems, renewable energy applications, energy storage/harvesting, and distributed power systems. Current projects involve DC-bus microgrid systems interfacing with wind turbines, PVs, and energy storage, as well as low-power harvesting for microbial fuel cells. He leads a state-of-the-art power laboratory offering courses like ELEC 3724 and ELEC 4170. Awards: 2016 NSF CAREER Award Grants & Sponsorships: NSF Office of Naval Research Private industry partnerships Labs: Built a power laboratory for hands-on student training in power, machine, and drive technologies.

Rush D. Robinett IIIView profile

Research Professor

• Nonlinear Control Systems
• Optimization
• Renewable Energy Grid Integration
• +5 more

Rush D. Robinett III is a Research Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University. He holds a PhD from Texas A&M University (1987) and an MS from the University of Texas at Austin (1984). Education: PhD in Engineering, Texas A&M University, 1987 MS in Engineering, University of Texas at Austin, 1984 Research Interests: Dr. Robinett focuses on nonlinear control, optimal system design, and renewable energy integration. His work includes distributed control of microgrids with 100% renewable sources, collective robotics for complex tasks (e.g., plume tracing, underwater target detection), and aerospace system fundamentals like trajectory optimization and flutter suppression. He also explores energy storage solutions for grid stability and aeroelasticity challenges. Awards/Grants: No specific awards or grants listed in the provided text. Labs/Teams: While no specific lab names are mentioned, his research aligns with energy systems, robotics, and aerospace engineering teams at Michigan Tech.