جست‌وجوی استاد و پژوهشگر

Kevin J. Kircherمشاهده پروفایل

استادیار

• Energy Infrastructure Optimization
• Climate Change Mitigation
• Power Grid Interaction
• +۴ مورد دیگر

Kevin J. Kircher is an Assistant Professor at Purdue University in the Departments of Mechanical Engineering and (by courtesy) Electrical and Computer Engineering. He works in Herrick Laboratories and the Institute for Control, Optimization and Networks, focusing on optimization and control strategies for distributed energy resources (DERs) to address climate change, pollution, and energy equity issues. Education: PhD in Mechanical Engineering (Cornell University), Postdoctoral Research in Electrical Engineering (MIT) His research spans DERs like electric vehicles, solar PV, and heat pumps, with a focus on grid interaction and energy system modeling for business/government decisions. He co-developed EDGIE, an open-source MATLAB/Python tool for electrification impact simulation. Recent publications analyze methane emissions in energy infrastructure, predictive HVAC control systems, and grid capacity challenges for residential electrification. His team has secured multiple ASHRAE grants and fellowships, with field studies on thermal storage and grid protection protocols. Mentorship priorities include diversity in energy research, with active recruitment of graduate students skilled in optimization, control theory, and thermal sciences. He leads a course on DERs with open-access materials.

Akhtar Hussainمشاهده پروفایل

استادیار

• Power Systems
• Smart Grids
• Energy Storage
• +۶ مورد دیگر

Akhtar Hussain serves as an Assistant Professor in the Department of Electrical and Computer Engineering at Laval University, Quebec. His research centers on AI-driven optimization of power and energy systems, with emphasis on microgrid resilience, distributed energy resource integration, and electric vehicle-grid interactions. He actively contributes to advancing grid reliability through innovative resource allocation and consumer satisfaction frameworks. Ph.D. in Electrical Engineering, Incheon National University, South Korea (2019) M.Sc. in Electrical Engineering, Myongji University, South Korea (2014) B.Sc. in Electrical Engineering, National University of Sciences and Technology, Pakistan (2011) Dr. Hussain's research spans power systems resilience, smart grid technologies, and equitable energy access. His work integrates artificial intelligence with traditional power engineering to address challenges in microgrid operation, electric vehicle integration, and renewable energy management. Key focus areas include developing algorithms for optimal resource utilization, enhancing grid stability during contingencies, and designing frameworks for fair energy distribution in diverse communities. His recent publications (2023-2025) reveal a strong trajectory toward AI-enhanced grid management, with recurring themes of resilience optimization, equity-focused resource allocation, and electric vehicle-grid synergies. The research demonstrates increasing sophistication in handling uncertainty through machine learning while addressing socio-technical dimensions of energy transition. Dr. Hussain currently supervises one Master's student and has guided five Ph.D. candidates to completion. His research is funded by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant ($160,000/year) for the project 'Grid Condition and Resilience-Aware Incentivization and Deployment of Distributed Energy Resources' (2024-2029), supplemented by a Springboard to Discovery award ($40,000) for 2024-2025. As an IEEE member, he collaborates with industry partners on real-world grid modernization initiatives, focusing on practical implementation of resilience strategies through microgrids and mobile energy resources.

Mike Barnesمشاهده پروفایل

استاد

• Power Electronics
• High Voltage DC Transmission
• Offshore Wind Energy
• +۳ مورد دیگر

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)

• Power Systems
• Microgrids
• Inverter Control
• +۳ مورد دیگر

Xiaonan Lu is an Associate Professor of Electrical Engineering Technology at Purdue University's School of Engineering Technology, with a courtesy appointment in the Elmore Family School of Electrical and Computer Engineering. His research focuses on critical challenges in modern power systems dominated by inverter-based resources, particularly stability and control in microgrids and renewable-integrated grids. His research interests span power systems engineering with emphasis on small-signal stability analysis, dynamic modeling of hybrid AC/DC microgrids, and advanced control strategies for grid-forming and grid-following inverters. He investigates AI-assisted modeling techniques, resilience enhancement through hydrogen integration, and data-driven optimization of microgrid operations to address challenges in low-inertia power systems and distributed energy resource coordination. Analysis of his recent publications (2024-2025) reveals dominant trends toward AI-aided stability assessment, seamless control transitions between inverter modes, and quantifiable trade-offs in voltage regulation and power sharing. His work consistently addresses practical implementation challenges including communication delays, cyber resilience, and standardized testing methodologies for inverter-dominated systems.

Ramadan El Shatshatمشاهده پروفایل

دانشیار

• Power Distribution Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Ramadan El Shatshat is an Associate Professor (Teaching Stream) and Director of the Electric Power Engineering Program at the University of Waterloo's Department of Electrical and Computer Engineering. He holds a PhD from the University of Waterloo (2001) and is a registered Professional Engineer in Ontario. His research focuses on distribution system engineering, smart grids, renewable energy integration, and electric vehicle impact analysis. Dr. El Shatshat has received multiple awards, including the James A. Field Teaching Excellence Award (2016) and the University of Waterloo Outstanding Performance Award (2010, 2017, 2021). He teaches courses like ECE 360 (Power Systems and Smart Grids) and ECE 668 (Distribution System Engineering). Education: PhD in Electrical Engineering, University of Waterloo (2001) MSc in Electrical Engineering, University of Garyounis, Libya (1992) BSc in Electrical Engineering, University of Garyounis, Libya (1984) Research Interests: Smart grids and microgrids Optimization for distribution systems Electric vehicles and renewable energy integration AI-based monitoring techniques Awards: 2021 University of Waterloo Outstanding Performance Award 2018 Marsland Faculty Fellowship 2016 James A. Field Teaching Excellence Award Advising & Grants: Supervised/co-supervised 26 students (undergraduate, master's, doctoral, and postdoctoral) His work spans over 50 peer-reviewed publications and patents in fault detection, voltage control, and EV integration.

James S. Cottonمشاهده پروفایل

استاد

• Thermo-Fluid Sciences
• Sustainable Energy Systems
• Heat Transfer
• +۴ مورد دیگر

Professor James S. Cotton is a faculty member in the Department of Mechanical Engineering at McMaster University , specializing in Thermo-Fluid Sciences with a focus on energy sustainability and thermal management. Current research explores thermal energy harvesting , non-thermal plasma flue gas cleaning , and smart electrohydrodynamic heat exchangers . Active in community energy planning as a member of the Burlington Climate Action Plan (2019-2021) and Green Venture board (2016-2021). Research spans both fundamental and applied domains, including two-phase flow , electrohydrodynamic heat transfer modulation , and flow accelerated corrosion analysis. His work integrates modeling and experimental validation for real-world thermal systems. Scientific Contributions: Developed two novel patents for advanced thermal management and soot removal systems during his industrial career at Dana Corp. (until 2007). Current projects involve community energy corridors and next-generation sustainable energy solutions , including the 2025 Hamilton Energy Harvesting Study . Active mentor in graduate education, teaching courses like MECH ENG 4O04: Sustainable Energy Systems and MECH ENG 708: Two Phase Flow and Heat Transfer .

• Power Systems
• Microgrids
• Renewable Energy Integration
• +۷ مورد دیگر

Dr. Daming Zhang serves as a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Faculty of Engineering. His academic career spans over two decades with continuous scholarly contributions to power systems engineering. Dr. Zhang's research focuses on power systems, microgrids, and renewable energy integration , with particular expertise in constant-frequency microgrid operation, DC-AC conversion technologies, and energy storage applications. His work addresses critical challenges in grid stability, power system protection, and the integration of high-penetration renewable energy sources. He has developed innovative approaches for microgrid regionalization, load flow analysis in islanded systems, and fault detection in photovoltaic systems. His publication record shows a clear evolution from fundamental electromagnetic studies to applied power systems research, with recent work emphasizing practical solutions for decarbonized power systems. The majority of his recent publications appear in high-impact IEEE journals and conferences, demonstrating the significance of his contributions to the field. His research increasingly incorporates advanced computational methods including machine learning for fault detection and optimization techniques for energy system planning. While no specific awards are listed in the available information, Dr. Zhang's extensive publication record in top-tier journals indicates recognition within the academic community. His collaborative work with researchers across multiple institutions demonstrates his active engagement in the international power engineering community. Dr. Zhang's research has practical implications for modern power systems transitioning toward renewable energy integration. His work on constant-frequency microgrids, energy storage applications, and grid-forming converters addresses critical challenges in maintaining stability as power systems incorporate higher levels of inverter-based resources. His recent focus on long-duration energy storage and zero-carbon electricity systems reflects the evolving priorities of the power industry toward decarbonization.

Nilanjan Ray Chaudhuriمشاهده پروفایل

دانشیار

• Power System Dynamics and Control
• Wide-Area Monitoring Systems
• Power Electronics in Power Systems
• +۶ مورد دیگر

Nilanjan Ray Chaudhuri is an Associate Professor of Electrical Engineering at Pennsylvania State University , affiliated with the Institute of Energy and the Environment (IEE) . His research focuses on power system dynamics and control , including wide-area monitoring systems, power electronics integration, renewable energy systems, and grid resilience. He has been recognized as an IEE Fellow and has contributed to projects like Smart Traction Systems for Weak Power Grids . Research Interests : Power system dynamics and control Wide-area monitoring systems Renewable energy integration (wind, solar) FACTS and HVDC systems Cascading failure analysis Cyber-physical security Recent Contributions : His work emphasizes grid stability in high-renewable systems, cascading failure mitigation , and frequency support from grid-forming converters. Publications (2023–2025) highlight advancements in control strategies for inverter-dominated grids, cyber-physical attack resilience, and fast simulation methods for dynamic failures. Grants & Awards : Selected grants include DOE-funded projects on grid modernization and resilience. Awards include IEE Fellow (2024) and recognition for student mentorship (e.g., 2020 Department of Energy Collegiate Wind Competition). Labs & Teams : He leads research in power grid resilience and collaborates with industry partners on MTDC grid control and wide-area monitoring solutions.

• Power Electronics
• Semiconductor Device Modeling
• Electromagnetic Modeling
• +۲ مورد دیگر

Dr. Ivana Kovacevic is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich. Her research focuses on power electronics, semiconductor device modeling, and electromagnetic analysis of wide bandgap devices. ETH Zürich, Department of Information Technology and Electrical Engineering Contact: kovacevic@aps.ee.ethz.ch Her research explores SiC power MOSFETs, emphasizing their dynamic performance, reliability, and optimization through advanced modeling techniques like the Partial Element Equivalent Circuit (PEEC) method. She investigates parasitic extraction, thermal behavior, and stability issues in power modules, contributing to design improvements for high-efficiency systems. Her publications highlight trends in electromagnetic modeling, device-circuit interactions, and reliability analysis under extreme conditions. Key subfields include gate resistance dynamics, frequency-dependent capacitances, and multi-chip module design. Current projects involve virtual prototyping for power electronics and mission profile-based optimization of wearable power systems.

Shuai Zhaoمشاهده پروفایل

استادیار

• Power Electronics
• Reliability Engineering
• Machine Learning
• +۴ مورد دیگر

Shuai Zhao is an Assistant Professor at the AAU Energy Department, Faculty of Engineering and Science, Aalborg University. His research focuses on applying machine learning and artificial intelligence techniques to enhance reliability and condition monitoring in power electronic systems, with specific interests in lifetime estimation, fault diagnosis, and health management of critical components like capacitors and semiconductor devices. Institution: Aalborg University School: Faculty of Engineering and Science Department: AAU Energy Email: szh@energy.aau.dk His research spans multiple domains including: Physics-informed machine learning for power converter systems Remaining useful life prediction with hybrid Bayesian deep learning Thermal transient analysis and stress emulation methods IoT-enabled monitoring schemes for semiconductor devices Neural network applications in lithium-ion battery prognostics Recent publications show a strong trend toward integrating domain-specific physics with machine learning frameworks to address real-world challenges in: Power electronics reliability under operational stress Anomaly detection in multivariate time-series data Robust fault diagnosis for railway traction systems Temperature estimation in electric vehicle motors Imbalanced data handling in diagnostic systems Capacitance degradation modeling under environmental factors Current projects demonstrate collaboration with leading institutions on: AI-assisted long-term maintenance strategies Physics-informed neural network architectures Smart agricultural monitoring systems via IoT platforms Advanced particle filter methods for life prediction

• Mechanical Engineering
• Tribology
• Multimodal Sensing
• +۵ مورد دیگر

Dr. Min Yu is an Imperial College Research Fellow (ICRF) in the Department of Mechanical Engineering at Imperial College London . He leads an independent research program focused on in-situ multimodal sensing of mechanical interfaces , integrating advanced materials, intelligent control, multiphysics modeling, and data-driven technologies. His work bridges tribology, robotics, and sensing with applications in lubrication systems and robotic haptic interfaces. Education: PhD in Mechanical Engineering, Imperial College London (2014–2018) MSc in Engineering, Zhejiang University (2011–2014) BEng in Engineering, Xi’an Jiaotong University (2007–2011) Research Interests: Dr. Yu’s core research areas include tribology , ultrasonic sensing , robotic haptics , lubrication systems , and data-driven control . He develops novel sensing technologies for real-time monitoring of mechanical interfaces, with applications in engines, bearings, transmissions, and robotic systems. His work emphasizes closed-loop intelligent lubrication and bio-inspired robotic sensing . Publications & Trends: Dr. Yu has authored over 60 peer-reviewed papers and holds 6 patents . His recent work (2024–2025) focuses on ultrasonic-based oil film measurement, triboelectric sensors for robotics, and advanced control systems for automotive suspensions. These publications reflect a strong interdisciplinary approach combining mechanical engineering , AI-driven control , and sensor innovation . Awards & Grants: Imperial College Research Fellowship (ICRF 2022–2026) Royal Society International Exchanges – Cost Share Scheme State Key Laboratory of Fluid Power and Mechatronic Systems Open Foundation Taiho Kogyo Tribology Research Foundation Grant Dame Julia Higgins Engineering Postdoc Collaborative Research Fund (2019) Peter Jost Travel Fund (2022) Collaborations & Labs: Dr. Yu collaborates with multiple groups at Imperial College London including the Tribology Group , Non-Destructive Evaluation (NDE) Group , Control and Power Group , Optical & Semiconductor Devices Group , and Geotechnics Group . He also partners with international institutions such as Georgia Tech , Xi’an Jiaotong University , Zhejiang University , HUST , and Tsinghua University , as well as industry leaders like Shell , ExxonMobil , Toyota , and Jaguar Land Rover .

Jennifer Scheibمشاهده پروفایل

عضو هیئت علمی

• Architectural Engineering
• Energy Efficiency
• Daylighting
• +۳ مورد دیگر

Jennifer Scheib is an Associate Teaching Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. She holds a BS and MS in Architectural and Civil Engineering from the same institution. Her work focuses on daylighting, zero-energy building implementation, and occupant wellbeing evaluation in buildings. Scheib has a joint appointment at the National Renewable Energy Laboratory (NREL) and is a member of the Illuminating Engineering Society of North America. Education: BS in Architectural Engineering, University of Colorado Boulder (2004) MS in Civil (Building Systems) Engineering, University of Colorado Boulder (2004) Research Interests: Her technical expertise spans daylighting systems, electric lighting control modeling, and strategies for achieving zero-energy buildings. She also investigates how building designs impact occupant health and productivity. Scheib’s applied research emphasizes practical solutions for energy efficiency, bridging gaps between theoretical models and real-world implementation in commercial and institutional settings. Publications and Impact: Her recent work highlights advancements in building energy modeling, procurement strategies for sustainable construction, and occupant-centric design. Key themes include microgrid energy systems, daylighting analysis, and policy frameworks for high-performance buildings. Awards: 2021 Solar Decathlon Build Challenge (First Place, Faculty Lead) 2020 Teaching Award from Civil, Environmental & Architectural Engineering Department 2015 NREL Outstanding New Partnership Award Collaborations and Roles: Serves as faculty lead on interdisciplinary projects, integrating academic research with NREL’s industry partnerships. Active in developing procurement guidelines that align construction budgets with high-performance goals. Advises on federal energy roadmap initiatives like NASA’s Net Zero Buildings program. Labs/Teams: Collaborates with NREL’s Commercial Buildings Group and leads university-industry partnerships focused on smart building technologies.

• Thermal Sciences
• HVAC&R Systems
• Thermodynamics
• +۵ مورد دیگر

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.

• Building Electrification
• Energy Storage Integration
• Optimization and Control under Uncertainty
• +۳ مورد دیگر

Kevin Kircher is an Assistant Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. He holds a PhD in Mechanical Engineering from Cornell University (2019). His research focuses on building electrification, grid integration of flexible loads, and advanced control strategies for energy systems. He leads the Kircher Research Group and is affiliated with Purdue's Center for High Performance Buildings. Key research areas include optimizing heat pump systems, model predictive control for HVAC, and mitigating grid strain through demand response. Recent work includes field studies on thermostat behavior, residential electrical infrastructure protection, and DC lighting systems for buildings. His contributions span 70+ peer-reviewed publications in journals like Applied Energy and Building and Environment , and conferences such as the International High Performance Buildings Conference. He has pioneered open-source tools like the BLDG toolbox and EDGIE simulation framework. Current projects address building-grid interactions, occupant behavior impacts, and decarbonization strategies for commercial/residential sectors. His work bridges mechanical engineering with data-driven control methodologies to advance sustainable energy systems.

• Power Systems
• Microgrids
• Smart Infrastructure
• +۳ مورد دیگر

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.