جستجوی استاد راهنمای دانشگاهی

Sanjoy Paulمشاهده پروفایل

دانشیار

• Supply Chain Risk Management
• Supply Chain Resilience
• Sustainable Supply Chain Management
• +۳ مورد دیگر

Sanjoy Paul is an Associate Professor at the University of Technology Sydney (UTS) Business School, specializing in supply chain management and operations research. He holds roles as Associate Editor of Business Strategy and the Environment and Global Journal of Flexible Systems Management . His research focuses on supply chain resilience, risk modeling, and sustainable practices, with applications to global disruptions like pandemics and IT outages. Paul has published in top-tier journals such as the European Journal of Operational Research and secured grants from government bodies including the Department of Defence. Education and Career: Prior to UTS, he worked at RMIT University and Bangladesh University of Engineering and Technology. He holds a PhD from UNSW, recognized with the Stephen Fester Prize for outstanding thesis. His career spans academic roles from Lecturer (2017) to Senior Lecturer (2019) before his current position since 2023. Research Contributions: Paul’s work bridges theoretical models and real-world applications, including recovery frameworks for supply chains during crises and strategies for sustainable practices in post-pandemic contexts. He frequently advises media on supermarket pricing, supply chain disruptions, and business strategies, appearing in outlets like The Guardian and ABC News . Awards and Recognition: His honors include the ASOR Rising Star Award, Research with Relevance Award, and inclusion in the top 2% global scientists (2020–2023). He has contributed to policy debates on supermarket competition, EV market dynamics, and Australia’s industrial strategies.

• Power Systems
• Renewable Energy Integration
• Microgrid Control
• +۳ مورد دیگر

Na (Luna) Lu is a Professor of Civil and Construction Engineering at Purdue University, with a courtesy appointment in Materials Engineering. She also serves as Vice President for Industry Partnerships and holds the Indiana ACPA Professorship in Concrete Paving and Materials Science. Her research focuses on power systems, inverter-based resources, microgrid control, grid resilience, and smart grid technologies. Key areas include stability analysis, renewable energy integration, and advanced control strategies for resilient distribution systems. Dr. Lu’s work bridges academia and industry, emphasizing practical applications of power electronics and cyber-physical systems. She has contributed extensively to topics like inverter dynamics, hybrid AC/DC microgrids, and real-time charging infrastructure. Her research highlights include AI-driven black-box modeling for photovoltaic systems, region-based stability analysis using machine learning, and optimal power flow in inverter-dominated grids. She has also explored resilience-enhancing strategies for coastal communities using marine energy resources and dynamic microgrids. Dr. Lu’s interdisciplinary approach combines electrical engineering, materials science, and computational methods to address challenges in modern power systems. Publications emphasize data-driven approaches, stability augmentation, and control system optimization. Awards include her endowed professorship reflecting industry recognition. Her administrative role underscores her commitment to industry-academia collaboration, fostering innovation in energy and infrastructure sectors.

• 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.

Steven B. Leebمشاهده پروفایل

استاد

• Power Electronics
• Energy Conversion Systems
• Motor Drives
• +۵ مورد دیگر

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.

Duane Robinsonمشاهده پروفایل

دانشیار

• Power Transmission and Distribution Systems
• Energy Efficiency
• Renewable Energy Applications
• +۲ مورد دیگر

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.

Anulipt Chandanمشاهده پروفایل

مدرس

• Blockchain Technology
• Sustainability
• Renewable Energy
• +۶ مورد دیگر

Dr. Anulipt Chandan is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University, located on the Curtin Perth campus. He holds a PhD in Sustainable Engineering, M.Tech in Electrical Engineering, and B.Tech in Electronics Engineering. His roles include contributing to the Faculty of Science and Engineering and serving in the Office of the Provost. Dr. Chandan's research focuses on interdisciplinary areas including blockchain technology, sustainability in energy systems, smart grid innovations, supply chain traceability, and materials science. His work bridges electrical engineering with emerging technologies, addressing challenges in renewable energy integration, failure analysis of materials, and achieving UN Sustainable Development Goals (SDGs) through blockchain applications. His publications span from materials science studies on alloy steels and nanocrystalline structures to blockchain frameworks for supply chain transparency and energy management systems. He has taught courses such as 'Renewable Energy Principles,' 'Sustainability and Renewable Energy,' and 'Ethics and Sustainability in Engineering.' Dr. Chandan’s research emphasizes practical solutions for global sustainability challenges, leveraging his expertise in both technical and socio-economic dimensions of innovation.

• High-Performance Computing
• Energy-Efficient Computing
• Parallel and Distributed Systems
• +۵ مورد دیگر

Ravi Reddy Manumachu is an Assistant Professor in the School of Computer Science at University College Dublin (UCD), Ireland. He holds a B.Tech from IIT Madras (1997) and a PhD in Computer Science from UCD (2005), specializing in high-performance heterogeneous computing and energy-efficient systems. His research focuses on optimizing performance and energy efficiency in modern heterogeneous platforms like clouds, grids, and supercomputers through novel models and algorithms. Key contributions include functional performance/energy models, energy-prediction frameworks, and extensions like Heterogeneous MPI and ScaLAPACK for heterogeneous clusters. He has published over 69 articles in top journals/conferences, with recent works addressing data transfer energy measurement, scalable allreduce algorithms (SUARA), and portable programming models (OpenH). Professional roles include Assistant Professor at UCD (2023–present), SEAI Research Fellow (2022–2023), and prior industrial experience at Ansys, Siemens, and IONA Technologies. He has certifications in university teaching, GDPR, and research integrity. Languages include English (fluent), Telugu, and Hindi. Research trends emphasize bi-objective optimization (performance-energy), hardware heterogeneity challenges, and scalable communication algorithms for deep learning. His work addresses energy non-proportionality in CPUs and GPU-CPU interactions, with practical solutions for real-world applications like matrix operations and gene sequencing.

Xin Fangمشاهده پروفایل

استادیار

• Power System Optimization
• Cyber-Physical Systems
• Renewable Energy Integration
• +۳ مورد دیگر

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.

• Nuclear Engineering
• Thermal Hydraulics
• Molten Salt Reactors
• +۳ مورد دیگر

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.

Pirathayini Srikanthaمشاهده پروفایل

دانشیار

• Game Theory
• Large-scale Optimization
• Distributed Control
• +۵ مورد دیگر

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.

Armin Zareمشاهده پروفایل

استادیار

• Control Theory
• Fluid Mechanics
• Stochastic Dynamical Modeling
• +۳ مورد دیگر

Armin Zare is an Assistant Professor at the University of Texas at Dallas in the Department of Mechanical Engineering , affiliated with the Center for Wind Energy . He obtained his PhD in Electrical Engineering from the University of Minnesota (2016) and previously held a postdoctoral position at the University of Southern California. Education : PhD (2016), MS (2016) in Electrical Engineering from University of Minnesota; BS (2010) in Electrical Engineering from Sharif University of Technology Research Interests : Modeling, dynamics, and control of large-scale and distributed systems; optimization; dynamics and control of complex fluid flows; renewable energy generation. His work focuses on stochastic modeling of turbulent flows and wind farm dynamics using control theory. Recent Publications highlight advancements in wind farm turbulence modeling, stochastic receptivity analysis, and covariance completion algorithms, reflecting his expertise at the intersection of control systems and fluid dynamics. Scientific Awards Young Investigator Program Award, Air Force Office of Scientific Research (2023) Doctoral Dissertation Fellowship, University of Minnesota (2015) Best Student Paper Award Finalist, American Control Conference (2014) Advisees include PhD students working on topics like wall turbulence modeling, wind farm forecasting, and stochastic dynamical systems, with several former students having completed theses on wind turbine wake modeling and fluid flow uncertainties.

• Power Electronics
• Microgrids
• Wide Bandgap Devices
• +۵ مورد دیگر

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.

• Control Systems
• Model Predictive Control
• Data-Driven Methods
• +۳ مورد دیگر

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.