Find Academic Supervisors

Eckhard A. Groll is the William E. and Florence E. Perry Head of Mechanical Engineering and Reilly Distinguished Professor at Purdue University's School of Mechanical Engineering. His leadership spans academic administration and cutting-edge research in thermal sciences, HVAC&R systems, and sustainable energy technologies. Education: Doctor of Engineering (Doktor-Ingenieur), Mechanical Engineering, University of Hannover (1994) Master of Engineering (Diplom-Ingenieur), Ruhr-University Bochum (1989) Pre-Diploma in Mechanical Engineering (Diplom-Vorprüfung), Ruhr-University Bochum (1986) Research focuses on thermal systems optimization , refrigeration technology , and high-performance building solutions . His work integrates experimental analysis, numerical modeling, and system-level optimization to advance energy-efficient technologies. Notable contributions include innovations in chemical looping heat pumps , CO2-based refrigeration cycles , and smart grid integration . Recent publications explore predictive control in HVAC systems, low-GWP refrigerants, and microgravity thermal systems. Awards include the J&E Hall International Gold Medal , Purdue Innovator Hall of Fame , and multiple recognitions for teaching and service. He has advised over 50 graduate students and holds leadership roles in ASHRAE and the International Institute of Refrigeration. Current initiatives include DC nanogrid systems , electrochemical heat pumps , and spacecraft thermal management . Active collaborations span Purdue’s Center for High Performance Buildings and global institutions like Shanghai Jiao Tong University.

• Thermal Sciences
• HVAC&R Systems
• Thermodynamics
• +5 more

Luna Lu serves as the Indiana ACPA Professor in Concrete Paving and Materials Science at Purdue University's Lyles School of Civil Engineering, with a courtesy appointment in the School of Materials Engineering. She concurrently holds the position of Vice President for Industry Partnerships and founded the Center for Intelligent Infrastructure, driving industry-academia collaboration in smart infrastructure solutions. Her research spans novel nanomaterials for infrastructure sensing and IoT-enabled energy harvesting systems, with recent work pivoting toward power systems engineering. Current investigations focus on stability analysis, control algorithms, and resilience in inverter-dominated microgrids, particularly addressing grid-forming/grid-following inverter interactions and AI-driven modeling techniques. This evolution reflects her dual expertise in materials science and electrical engineering, manifested through both academic publications and commercial ventures. Analysis of her 15 most recent publications reveals a concentrated focus on microgrid stability (73% of articles), inverter control strategies (60%), and data-driven/AI methodologies (47%). Key trends include seamless transition protocols between grid modes, quantifiable trade-offs in voltage regulation, and resilience assurance through hydrogen integration—all critical for renewable energy adoption. Her scientific recognition includes: National Science Foundation CAREER Award (2014) Purdue Faculty Scholar (2019) ASCE Alfred Noble Prize (2022) TIME Magazine Best Invention (2023) Edison Award (2024) Fellow of the Royal Society of Arts Dr. Lu has successfully translated research into practice through Wavelogix Inc., where she serves as CEO, commercializing REBEL IoT sensors for infrastructure monitoring. Her portfolio includes over 150 peer-reviewed publications, two books, six book chapters, and 10 patents, demonstrating consistent funding success and technology transfer. The Center for Intelligent Infrastructure under her direction facilitates industry partnerships focused on real-world deployment of sensing technologies. As founding director of the Center for Intelligent Infrastructure, she leads multidisciplinary teams developing integrated solutions for infrastructure health monitoring. Current initiatives combine nanomaterials, wireless sensor networks, and power electronics to create self-powered sensing systems for bridges, roads, and energy infrastructure, with field deployments across Indiana's transportation network.

• Power Systems
• Microgrids
• Smart Infrastructure
• +3 more

Dr. Dush Thalakotuna is an Associate Professor and Co-Director of the NSW Space Research Network at the University of Technology Sydney (UTS), where he has held academic roles since 2020. His research focuses on antenna design, radio frequency engineering, and electromagnetics, with applications in defense, satellite communication, and space technology. He leads major projects with over $10 million in funding, including initiatives in cryogenic satellite ground stations and reconfigurable intelligent surfaces. His academic journey combines over 7 years of industry experience in defense and commercial sectors (e.g., BAE Systems, Thales, Analog Devices) with academic rigor. He has published over 50 journal/conference articles, authored book chapters on dielectric resonators, and holds three patents. Awards include the 2023 Eureka Prize, 2024 Academic of the Year (Defence Industry Awards), and recognition from IEEE. Research Interests: His work spans metamaterials, beam steering antennas, phased arrays, and space communication systems. Current projects emphasize multiband antennas, meta-surfaces for beam control, and satellite-ground station technologies. Teaching & Leadership: Coordinates the Master of Engineering (Telecommunications and Electronics) and first-year engineering programs at UTS. Engages in STEM education through initiatives like the Little Inventors STEM Academy and robotic competition mentoring. Grants & Projects: Principal Investigator in 16 projects since 2020, including ARC Industry Fellowships and grants from the National Intelligence Agency. Recent projects include meta-steering antenna systems and resilient communication for autonomous systems. Labs & Collaborations: Leads UTS’s antenna and RF research group, collaborating with industry partners like Commscope and Dialog Telekom. Co-directs the NSW Space Research Network to advance space technology research.

• Antenna Design
• Radio Frequency Engineering
• Electromagnetics
• +6 more

Steven B. Leeb is a Professor of Electrical Engineering and Computer Science (EECS) and Mechanical Engineering at MIT. He holds the Carl Richard Soderberg Chair in Power Engineering and is a MacVicar Fellow, recognizing his excellence in teaching and research. His work focuses on power electronics, energy conversion systems, motor drives, and nonintrusive power monitoring. Leeb has contributed to advancements in smart grid technologies, building energy management, and fault detection systems. He leads interdisciplinary research integrating control systems with renewable energy applications. Education: B.Sc., M.Sc., M.Eng., and Ph.D. in Electrical Engineering from MIT (1987–1993). His career at MIT spans over three decades, progressing from Assistant Professor (1993) to Full Professor (2005). He has advised numerous projects in collaboration with industries and military applications, including naval propulsion systems and unmanned aerial vehicle (UAV) energy buffering. Research Interests: Power Electronics and Motor Drives Nonintrusive Load Monitoring (NILM) Building Energy Management Smart Grid Technologies Sensors and Sensor Networks Electromagnetic Systems Awards: Over 15 major awards, including the National Science Foundation CAREER Award (1996), IEEE Fellow (2007), and multiple R&D 100 Awards. His work has led to patents in nonintrusive monitoring systems, smart lighting, and energy-efficient technologies. Teaching: Courses include Mechanical Engineering Tools (2.670) , Power Electronics Laboratory (6.131) , and Microcomputer Project Laboratory (6.115) . He emphasizes hands-on learning through labs like his DC motor experiments, which are featured in freshman orientation programs. Labs/Teams: Active in MIT’s Energy Initiative, collaborating with industry partners on projects such as naval propulsion systems and UAV energy systems. His group develops prototypes for commercial applications in smart buildings and renewable energy integration.

• Power Electronics
• Energy Conversion Systems
• Motor Drives
• +5 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.

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

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

Professor Paul Stewart is affiliated with the University of Derby's College of Science and Engineering, specializing in Control and Systems Engineering. His research focuses on biomedical monitoring systems, nuclear reactor optimization, airport operations, and aerospace propulsion. Notable projects include developing real-time blood pressure estimation systems for dialysis patients and advancing modular nuclear reactor designs using genetic algorithms. He collaborates across disciplines, addressing challenges in energy efficiency, control systems, and transportation logistics. His work integrates advanced algorithms and engineering principles to solve complex problems in healthcare, aerospace, and sustainable energy. Research interests span hemodialysis monitoring technologies, genetic algorithm applications in modular systems, and multi-objective optimization for airport ground movements. His contributions also include pioneering studies on solar-powered high-altitude aircraft and energy-efficient electric propulsion systems. Despite no explicitly listed awards or grants, his prolific publications reflect sustained academic and industrial engagement. Key collaborations involve institutions like the University of Derby and international teams in nephrology, aerospace, and transportation engineering fields. While no labs or formal research teams are named, his work indicates involvement in interdisciplinary research networks focused on practical engineering solutions with societal impact.

• Control Systems Engineering
• Biomedical Engineering
• Aerospace Engineering
• +3 more

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

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

Leon M. Tolbert is a Chancellor’s Professor and Min H. Kao Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Electrical Engineering from Georgia Tech and has been with the university since 1999. His research focuses on power electronics, microgrids, wide bandgap devices, and renewable energy integration. He is a Fellow of the IEEE and has led initiatives like CURENT, an NSF/DOE Engineering Research Center. Education: BSEE (1989), MSEE (1991), PhD (1999), all from Georgia Tech. Professional roles include former Department Head (2013–2018) and adjunct researcher at Oak Ridge National Laboratory. Research interests span power electronics applications, multilevel converters, electric vehicles, and grid modernization. His work has led to innovations in SiC device utilization and grid stability solutions. Awards include the NSF CAREER Award and multiple university recognitions for teaching and research. Key contributions include over 200 publications, patents on power converter designs, and leadership in IEEE technical committees. His lab develops hardware-in-the-loop systems to emulate grid dynamics and test inverter-based resources.

• Power Electronics
• Microgrids
• Wide Bandgap Devices
• +5 more

Shuhao Yan is a Researcher and Post Doc Researcher at the University of Stuttgart, affiliated with the Department of Mathematics/IMNG within Faculty 08. His research focuses on advanced control systems, particularly in data-driven methods for uncertain systems, stochastic model predictive control (MPC), and grid-forming control in power electronics. He leads the SimTech Project Network 4-3 (II) titled 'Data-Integrated Control Systems Design with Guarantees,' emphasizing robustness and real-world applicability. His research interests revolve around integrating data with traditional control theory to address challenges in uncertain dynamic systems. Key areas include robust MPC, stochastic optimization, and the application of machine learning in control systems. He has contributed to advancements in grid stability analysis, voltage source converter control, and adaptive control strategies under intermittent data conditions. Recent publications highlight trends in learning-based control (e.g., homothetic tube MPC), stochastic MPC with probabilistic constraints, and power grid stability analysis for renewable energy integration. His work bridges theoretical foundations with practical implementations in energy systems and automation. Shuhao Yan holds a PhD and currently conducts research within the Institute of Mathematical Methods in Engineering, Numerical Analysis and Geometric Modeling. His projects emphasize interdisciplinary collaboration between control theory, applied mathematics, and electrical engineering.

• Control Systems
• Model Predictive Control
• Data-Driven Methods
• +3 more

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.

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

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

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

Dr. Marissa Condon is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU), where she has been since 2000. She holds a BE (First Class Honours) from the National University of Ireland, Galway (1995) and a PhD from the National University of Ireland (1998). Prior to her academic role, she worked at the National Grid of the Electricity Supply Board of Ireland (1998–2000). Her research focuses on numerical modeling of highly oscillatory systems, nonlinear systems analysis, and high-frequency circuit simulation. She led the SFI Investigator Programme Grant SMART (Simulation and Modelling Techniques for Radio Frequency Technology). Her teaching roles include coordinating modules such as Circuits, Numerical Problem Solving for Engineers, and Signals. Her work spans electromagnetic scattering analysis, interconnect modeling, and model order reduction techniques. She has contributed to advancements in RF oscillator simulation and robust control of power electronics systems.

• Numerical Analysis
• Nonlinear Systems
• Circuit Theory
• +3 more

Dr. Chao Shu is a Lecturer (Assistant Professor) in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). He holds a PhD in Electronic Engineering from QMUL (2021) and has prior industry experience as an R&D software engineer and division manager. His research focuses on machine-learning-aided antenna/circuit design, data-driven education, and AI-enabled personalized learning. He has authored/co-authored over 20 journal/conference papers, a book chapter, and 13 patents. He currently co-leads the Data Analytics Scholarship working group in his school and teaches modules such as Data Design, Digital Circuit Design, and Control Theory. Research & Awards : Dr. Shu secured a £960,000 grant (2023–2025) for a wireless power transmission project. His work has earned a Best Conference Paper Award at IEEE TALE 2023. He reviews for journals like IEEE Transactions on Antennas and Propagation and serves on conference committees, including IEEE EDUCON 2023. Teaching : He organizes modules covering data analytics, digital circuits, communication systems, and microprocessor design. His courses emphasize practical skills in Python, embedded systems, and control theory.

• Machine-learning-aided Antenna/Circuit Design
• Data-Driven Education
• Learner Engagement Analytics
• +3 more

Dr. Paul A. Potier is Professor of the Practice in the Department of Marine Engineering Technology at Texas A&M University. He earned his PhD in Electrical Engineering from Prairie View A&M University (2012), MS from University of Texas at Austin (1987), and BS from Lamar University (1981). He holds PMP certification. His research explores wireless communications and network management, particularly cognitive radio ad hoc networks, spectrum management, and anomaly detection in wireless systems. His technical interests originated from audio electronics and expanded to communications, computing, and robotics. Dr. Potier teaches courses covering marine engineering fundamentals, electrical power systems, marine electronics, engineering economics, and capstone projects. His professional experience includes leadership roles at Austin Community College, Motorola, Exxon, and IBM.

• Electrical Engineering
• Cognitive Radio Networks
• Network Management
• +2 more