جست‌وجوی استاد و پژوهشگر

Simerjeet Virkمشاهده پروفایل

دانشیار

• Precision Agriculture
• Agricultural Engineering
• Crop Management Systems
• +۵ مورد دیگر

Simerjeet Virk is an Associate Professor and Extension Specialist in Machine Systems Engineering at the Department of Biosystems Engineering, Auburn University's College of Agriculture. His work focuses on precision agriculture technologies, machinery systems optimization, and crop management strategies. He specializes in integrating unmanned aerial systems (UAS), sensor-based nitrogen management, and advanced spray technologies to enhance agricultural productivity and sustainability. Research interests include precision nutrient management, drone-based crop monitoring, and optimizing agricultural machinery performance. He has extensively studied spray deposition in crops, soil sampling strategies, and the economic impacts of precision agriculture practices. Virk collaborates with growers to develop practical solutions for challenges in corn, peanut, and cotton production systems. His recent work demonstrates advancements in UAV-based multispectral imaging for crop phenotyping, variable rate fertilizer application systems, and improving pesticide efficacy through optimized spray technologies. Key contributions include evaluating Thryvon™ growth regulators on cotton physiology and quantifying nitrogen's impact on corn yield under varying environmental conditions. Auburn University affiliations include leadership in extension programs bridging academic research with agricultural industry needs. His research has produced over 50 peer-reviewed articles since 2013, focusing on machinery systems, sensor technologies, and precision agriculture applications across multiple crop systems.

Fang Luoمشاهده پروفایل

دانشیار

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

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

Dong Chenمشاهده پروفایل

دانشیار

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +۵ مورد دیگر

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

Steve Cicalaمشاهده پروفایل

دانشیار

• Energy and Environmental Economics
• Industrial Organization
• Regulation Policy
• +۳ مورد دیگر

Steve Cicala is an Associate Professor of Economics at Tufts University, affiliated with the School of Arts and Sciences. His research focuses on energy and environmental economics, industrial organization, and regulatory policy. He holds a PhD and AM in Economics from Harvard University (2013) and an AB in Economics with Honors from the University of Chicago (2004). Previously, he taught at Harvard University and the University of Chicago. Affiliations: Faculty Research Fellow at the National Bureau of Economic Research, Associate Scholar of the Harvard Environmental Economics Program Key Research Areas: Regulation of energy markets, environmental policy design, and the economic impacts of climate change. His work examines how regulatory frameworks influence market outcomes, particularly in the context of environmental and energy policy. Recent studies include analyzing the effects of social distancing on air quality and the role of electricity consumption as an economic indicator during crises. He has published on topics ranging from decarbonization strategies to the incidence of economic stress through utility disconnections. His scientific awards include prestigious fellowships such as the NBER Faculty Research Fellowship and Harvard Environmental Economics Program affiliation. His research often bridges theoretical economic models with real-world policy applications, emphasizing actionable insights for regulators and policymakers. While no specific grants or advising roles are detailed here, his academic contributions span teaching at top institutions like Harvard and Tufts, reflecting a commitment to both research and education in economics. He is actively involved in interdisciplinary initiatives, leveraging economics to address pressing environmental and energy challenges. His current projects likely explore emerging topics in sustainable development and regulatory innovation in energy sectors.

• Software System Quality
• Software Architecture Design and Evaluation
• Software Visualization and Reverse Engineering
• +۸ مورد دیگر

Wilhelm Hasselbring is Professor of Software Engineering at the School of Electronics and Computer Science, University of Southampton. His research focuses on software system quality, architecture design, and distributed systems with emphasis on fault-tolerance and monitoring. Software System Quality Architecture Design and Evaluation Microservices and DevOps Digital Twins and Prototyping Open Science Practices Current research explores digital twin prototypes for smart farming applications, metamorphic testing methodologies, and scalable microservice architectures. His work bridges theoretical frameworks with industrial applications in middleware and cloud systems. Recent awards include the Ernst Denert Award for Software Engineering (2019-2020). Publications span topics from JavaBERT language models to MQTT bridge evaluations, emphasizing software visualization and reverse engineering techniques. Contact: W.Hasselbring@soton.ac.uk

Sheldon Williamsonمشاهده پروفایل

استاد

• Electric Energy Storage Systems
• Power Electronics
• Transportation Electrification
• +۴ مورد دیگر

Dr. Sheldon Williamson is a Professor and NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification at Ontario Tech University's Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science. His research focuses on advanced energy storage technologies, power electronics, and their integration into transportation systems and smart grids. Education: Ph.D. (Electrical Engineering, Illinois Institute of Technology, 2006), M.S. (Electrical Engineering, Illinois Institute of Technology, 2002), B.E. (Electrical Engineering, University of Mumbai, 1999). Research Interests - Electric Energy Storage Systems for Transportation Electrification - Battery Management Systems (BMS) and Thermal Safety - Wireless Power Transfer and Charging Infrastructure - Cyber-Physical Security in EV Systems - Smart Grid Integration of Renewable Energy Publications : Over 50 peer-reviewed articles from 2021–2025, focusing on battery technologies, power electronics, and electrification challenges. Key themes include solid-state batteries, cloud-based BMS architectures, and dynamic wireless charging systems. No scientific awards explicitly listed in provided texts. Active in academic leadership and curriculum development within the department.

• Grid Integration of Renewable Energy
• Power Systems
• Smart Grids
• +۳ مورد دیگر

Professor Mithulan Nadarajah is a Professor at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. from the University of Waterloo (Canada), and prior academic positions at the Asian Institute of Technology (Thailand) and the University of Peradeniya (Sri Lanka). His research focuses on Grid Integration of Renewable Energy (GIRE), with two main themes: Planning and Operational Planning of renewable energy integration. He has supervised 29 PhD students and 50 research masters, and secured over AUD 3.6 million in grants from ARC, Government of India, Indonesia, Malaysia, and industry partners. His work spans smart grids, power systems stability, and energy storage systems. He served as Director of HDR Studies (2019–2025) and coordinated regional energy initiatives at ASEAN and Asian countries. He is a Senior Member of IEEE and Editor for the American Institute of Mathematical Sciences journal. Education: Ph.D. (Waterloo, Canada), B.Sc. (Peradeniya, Sri Lanka), M.Eng. (AIT, Thailand) Research interests include renewable energy grid integration, power system stability, and distributed generation. Over 320 publications include 1 book, 8 book chapters, and impactful journal/conference papers. His international collaborations span ASEAN, Asia, and Europe. Current roles include leadership in HDR programs and energy policy research.

Feng Anمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Power Conversion
• Power Electronic Converters
• Optimized Power System Operation
• +۳ مورد دیگر

Dr. Feng (Chris) An is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, University of Queensland. He holds a Ph.D. in Electrical Engineering from Tsinghua University (2023) and joined UQ in 2024. His research focuses on renewable energy power conversion, power electronics topology/control, and optimized power system operation with integrated power electronic devices. He is a reviewer for top-tier journals like IEEE Transactions on Power Electronics and has been recognized in the Stanford/Elsevier Top 2% Scientists List 2024. Education: Ph.D. in Electrical Engineering, Tsinghua University, 2023 Research Interests: Renewable energy systems, power electronic converters, grid integration, energy storage systems, and power system modeling. Publications: Over 16 peer-reviewed articles in journals like IEEE Transactions and conference proceedings, focusing on DC transformers, energy storage, and grid resilience. Awards: Stanford/Elsevier Top 2% Scientists List 2024 He advises students in renewable energy and power conversion and collaborates with the Power & Energy Systems Research Group. His work addresses challenges in high-renewable grids and power system stability.

Rahul Sharmaمشاهده پروفایل

دانشیار

• Control Systems
• Renewable Energy
• Power Systems
• +۵ مورد دیگر

Associate Professor Rahul Sharma is affiliated with the School of Electrical Engineering and Computer Science at The University of Queensland (UQ), within the Faculty of Engineering, Architecture and Information Technology. His primary research focuses on control systems applications, particularly in solar farm fault detection, grid-connected inverter control, and demand side management. His work emphasizes system modeling, control development, and model-based fault diagnosis, with significant industrial relevance in renewable energy and smart grid technologies. Research Interests: - Solar farm fault detection and diagnosis via control theory to identify underperforming panels. - Advanced control methods for grid-connected inverters to enhance power quality and stability. - Demand side management through novel control algorithms for distributed energy resources. His experimental work includes field trials at Gatton Solar Farm and collaborations with industry partners. Articles Trends: Recent publications emphasize network-aware control of distributed energy resources, dynamic operating envelopes for demand response, and smart grid optimization. Key themes include low-voltage distribution networks, prosumer P2P trading, and fault diagnosis in power systems. Advising & Labs: He supervises prospective PhD students in control systems and renewable energy. Experimental setups at UQ and field trials at Gatton Solar Farm support his research on fault detection and grid systems.

• Process Systems Engineering
• Green Ammonia
• Tidal Energy
• +۳ مورد دیگر

Rene Bañares-Alcántara is a Professor at the University of Oxford 's Department of Engineering Science and a Fellow of New College since 2003. His academic journey began with a BSc in Chemical Engineering from UNAM, followed by MSc and PhD from Carnegie Mellon University. Research Focus: Process Systems Engineering, specializing in long-term renewable energy storage and green ammonia production since 2014. Key Contributions: Development of techno-economic models for green ammonia, integrating tidal/wind/solar variability, offshore production, and international trade dynamics as lead of the OXGATE research group . Teaching Roles: Tutors first/second-year engineering students in Thermodynamics, Fluids, Mathematics, and Engineering & Society; teaches Risk & Safety, Reactor Design, and coordinates third-year design projects. Recent Publications: Focus on tidal stream energy phasing for green ammonia production, decarbonization strategies for India, and ammonia's role in shipping and UK energy storage. These studies highlight his expertise in combining tidal energy predictability with chemical process design. Collaborations: Works with institutions like EMEC and FORWARD2030, leveraging tidal hotspots in the Irish Sea and Orkney. His work addresses grid constraints, equipment sizing, and environmental impacts of large-scale tidal energy deployment.

Ruggero Carliمشاهده پروفایل

دانشیار

• Control Systems
• Robotics
• Machine Learning
• +۶ مورد دیگر

Ruggero Carli is an Associate Professor at the Department of Information Engineering, University of Padova. His research focuses on control systems, robotics, and optimization, with emphasis on model-based reinforcement learning, distributed optimization algorithms, and energy systems. His work bridges theoretical advancements with real-world applications, including autonomous robotics, smart grids, and nonlinear control. Key contributions include physics-informed machine learning frameworks, ADMM-based distributed optimization methods, and MPC-driven control solutions for underactuated systems. Research interests include: Model-Based Reinforcement Learning for Robotics Nonlinear Model Predictive Control (NMPC) Distributed Optimization and ADMM Variants Energy Networks and Smart Grids Robot Dynamics and System Identification Recent publications emphasize: Continual learning for driver behavior analysis Physics-informed control for underactuated systems Robust optimization in unreliable networks Autonomous robotic manipulation with large language models His research integrates control theory with modern machine learning techniques, addressing challenges in edge computing, distributed systems, and real-time implementation.

Suruz Miahمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Optimal Control and Estimation
• Multi-Agent Systems
• +۳ مورد دیگر

Suruz Miah is an Associate Professor in the Department of Electrical and Computer Engineering at Bradley University and an Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. He holds a B.Sc. from Khulna University of Engineering & Technology (Bangladesh) and M.A.Sc./Ph.D. degrees from the University of Ottawa. His research focuses on Cyber-Physical Systems, Optimal Control, Multi-Agent Systems, and RFID Technology. He has held roles including Visiting Associate Professor at Hosei University (Japan), Visiting Research Fellow at DRDC Canada, and Part-Time Professorships at multiple institutions. Education: B.Sc., Computer Science and Engineering, Khulna University of Engineering & Technology (2004) M.A.Sc. and Ph.D., Electrical and Computer Engineering, University of Ottawa (2007, 2012) Research Interests: Dr. Miah specializes in Cyber-Physical Systems, including autonomous robotics, multi-agent coordination, optimal control, and machine learning applications. He leads projects on mobile robot navigation, energy management systems, and RFID-based localization. His work bridges theoretical control systems with practical implementations in robotics and industrial automation. Advising & Collaborations: Advised/co-authored over 20+ student research projects, focusing on reinforcement learning, multi-agent systems, and robotics. Collaborates with institutions like DRDC Canada, Bradley University's Cyber-Physical Systems Lab, and University of Ottawa's MIRaM Lab. Developed open-source frameworks like MAFOSS (Multi-Agent Framework using Open-Source Software) and BEMOSS (Building Energy Management System). Labs & Teams: Principal Investigator at Bradley's Cyber-Physical Systems Lab. Research member of the Machine Intelligence, Robotics, and Mechatronics (MIRaM) Lab at the University of Ottawa.

Karen Butler-Purryمشاهده پروفایل

استاد

• Power System Automation
• Smart Grid Security
• Distribution Automation
• +۴ مورد دیگر

Karen Butler-Purry is a Professor of Electrical & Computer Engineering at Texas A&M University, holding the Raytheon Company Professorship. She is affiliated with the Power System Automation Laboratory and the College of Engineering. Her research focuses on intelligent systems for power distribution automation, fault diagnosis, and renewable energy integration. She completed her B.S. at Southern University (1985), M.S. at UT Austin (1987), and Ph.D. at Howard University (1994). Her work emphasizes cyber-physical systems, smart grid security, and microgrid resilience. Recent research includes AI-driven grid restoration, cybersecurity frameworks for distribution systems, and self-healing shipboard power systems. She has pioneered methods for transformer lifespan prediction and unbalanced load management in distributed networks. Publications span over three decades, with notable contributions to IEEE journals and conferences. Her educational initiatives include the Texas A&M System AGEP Alliance and LSAMP programs, advancing underrepresented minority participation in STEM academia. She leads interdisciplinary projects at the intersection of power systems, machine learning, and equity-focused academic workforce development. Labs/Teams: Principal Investigator in the Power System Automation Laboratory, collaborating with industry partners like Raytheon. Active in curriculum development for digital systems education through initiatives like the Enrichment Experiences in Engineering (E³) program.

Pablo Timonerمشاهده پروفایل

پژوهشگر

• Climate Change Impacts
• Biodiversity Conservation
• Geospatial Health Modeling
• +۳ مورد دیگر

Pablo Timoner is a Researcher at the Institute of Global Health, part of the Faculty of Medicine at the University of Geneva. He holds a PhD in Environmental Sciences (2021) and a Master’s in aquatic ecology (2017). His work focuses on climate change impacts on biodiversity, geospatial modeling for health accessibility, and river ecosystem dynamics. Currently, he collaborates with the WHO on geospatial models to enhance healthcare accessibility in emergencies and fragile contexts. Education : PhD in Environmental Sciences, University of Geneva (2021) Master’s thesis on aquatic macroinvertebrates in restored river channels, University of Geneva (2017) Research Interests : Climate change impacts on biodiversity, geospatial health service modeling, river ecosystem resilience, and freshwater invertebrate ecology. His work integrates GIS tools, biostatistical approaches, and environmental data to address global challenges in health and ecology. Articles Trends : Recent publications emphasize snow cover dynamics in Swiss alpine regions, healthcare accessibility modeling in Mali, and biodiversity shifts in freshwater ecosystems. Tools like the inAccessMod R package reflect his focus on open-source geospatial solutions. Scientific Awards : No awards explicitly listed. Advising & Grants : Collaborates on WHO-funded projects and contributes to initiatives like EUROPONDS. No formal advisees listed. Labs/Teams : Active member of the GeoHealth group, focusing on global health and environmental data integration.

• Energy Engineering
• Home Automation
• Learning Algorithms
• +۱۲ مورد دیگر

Per Printz Madsen is an Associate Professor in the Department of Computer Science at Aalborg University, under The Technical Faculty of IT and Design. His research focuses on distributed, embedded, and intelligent systems with applications in energy efficiency, smart buildings, and renewable energy integration. His research interests span energy engineering, home automation, learning algorithms, fuzzy systems, neural networks, and intelligent control systems. He applies computational intelligence to optimize energy consumption in buildings and district heating systems, with a strong emphasis on real-world implementation through digital twin technology and supervisory control. The recent publications highlight a consistent trend in energy management systems, particularly in forecasting, load control, and energy brokerage in smart grids and buildings. The work emphasizes the integration of renewable generation and storage, leveraging machine learning and distributed control architectures to improve energy efficiency and reduce CO 2 emissions. He has been involved in several major research projects including ENCOURAGE, Homeport, Flexnet, and Mediterranean Virtual University, funded by entities such as Artemis JU and the Danish Enterprise and Construction Authority. These projects demonstrate sustained external funding and collaborative research across Europe. Madsen contributes regularly through technical reports and conference proceedings, primarily through Aalborg University. His work is applied and systems-oriented, targeting practical deployment in energy infrastructure. He is affiliated with the Distributed, Embedded and Intelligent Systems research group at Aalborg University, where he conducts interdisciplinary research bridging computer science and energy engineering to develop intelligent solutions for sustainable energy systems.