جست‌وجوی استاد و پژوهشگر

Braden Limbمشاهده پروفایل

پژوهشگر

• Sustainability
• Techno-Economics
• Life Cycle Analyses
• +۵ مورد دیگر

Dr. Braden Limb is a Research Scientist in the Department of Mechanical Engineering at Colorado State University, affiliated with the Walter Scott, Jr. College of Engineering. He works under Dr. Jason Quinn in the Sustainability Research Laboratory, focusing on techno-economic analyses and optimization of sustainable technologies like electrified transportation and carbon capture systems. Education: PhD in Systems Engineering, Colorado State University MS and BS in Mechanical Engineering, Utah State University Research Interests: His work spans techno-economics, life cycle analyses, and optimization of sustainable systems. Key areas include carbon capture technologies, renewable energy integration, thermal energy storage, and biofuel sustainability assessments. He evaluates the economic viability of emerging green infrastructure and climate financing mechanisms. Advising & Grants: No formal advisees listed. His research is supported by institutional collaborations within the Sustainability Research Laboratory. Labs/Teams: Active member of the Sustainability Research Laboratory, contributing to cross-disciplinary projects on energy systems and environmental policy.

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.

Ammar Al-Baziمشاهده پروفایل

دانشیار

• Operations Research
• Supply Chain Management
• Simulation and Optimization
• +۳ مورد دیگر

Dr. Ammar Al-Bazi is an Associate Professor in Operations and Supply Chain Simulation at Aston Business School, part of the College of Business and Social Sciences at Aston University. He holds a PhD in Simulation and Optimization from Teesside University and an MSc in Statistics and Operational Research from the University of Baghdad. He is a Senior Fellow of the Higher Education Academy (SFHEA) and has led multiple funded projects, including those supported by Innovate UK and the European Regional Development Fund (ERDF). His research focuses on applying simulation, optimization, AI, and digital technologies to solve real-world challenges in logistics, energy, and manufacturing. Education: PhD in Simulation and Optimization, Teesside University (UK) MSc in Statistics and Operational Research, University of Baghdad (Iraq) BSc (Honors) in Operational Research, Al-Mansour College University (Iraq) Research Interests: Simulation and optimization techniques for supply chain management Energy efficiency and demand-side management Transportation and logistics optimization (including drones) Artificial Intelligence applications in manufacturing and healthcare Risk mitigation and disruption management in operations Recent Article Trends: Dr. Al-Bazi's recent work emphasizes digital twin technology, IoT integration in energy systems, and resilience in supply chains. His studies often combine machine learning with traditional optimization methods to address challenges like emissions prediction, consumer behavior modeling, and pandemic logistics. Awards and Roles: Senior Fellow of the Higher Education Academy (SFHEA) External Examiner for PhD programs at multiple universities Editorial board member of journals like Supply Chain Analytics and Journal of Information and Communication Technology Grants and Funding: £39,751 (Innovate UK) for dynamic railway contaminant control barriers £202,308 (KTP, Innovate UK) for collaboration with The Birmingham Assay Office Multiple KEEN and KTP projects focusing on SME performance improvement Advisory and Teaching: He supervises PhD students on topics like behavioral decision-making in healthcare logistics and renewable energy integration. He teaches courses in operations management, simulation for project management, and business analytics.

• 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.

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

Dr. Nader Azad is an Associate Professor of Operations Management at the Faculty of Business and Information Technology, Ontario Tech University. He specializes in supply chain risk management, logistics, and stochastic optimization. His work focuses on developing strategies to mitigate disruptions and enhance resilience in supply chains using game theory and large-scale optimization models. Education: PhD in Industrial Engineering (Amirkabir University of Technology), Postdoctoral Fellowship in Operations Management (McMaster University), MSc and BSc in Industrial Engineering (Iran University of Science & Technology). Research interests include supply chain risk mitigation, sustainable logistics, and disruption recovery. He holds a NSERC Discovery Grant ($100,000) for modeling disruption risks in supply networks. Notable publications appear in Transportation Science , Omega , and European Journal of Operations Research . Grants: NSERC Discovery Grant (2017–2022), FGSR Faculty Grant (2017–2018). Awards include IFER Postdoctoral Fellowship (2012–2013) and Top PhD Student (2008–2009). Labs/Groups: Member of the Business Analytics & AI Research Group, collaborating on data-driven decision-making in operations and marketing.

• Energy Systems Optimization
• Decarbonization Strategies
• Smart Grid Technologies
• +۳ مورد دیگر

Dr. Salvador Acha Izquierdo is a Senior Research Fellow in the Department of Chemical Engineering at Imperial College London, where he leads the Imperial College-Sainsbury's Partnership focused on decarbonizing retail operations. With over 15 years of experience in energy efficiency and sustainable solutions, he develops decision-making frameworks for low-carbon transitions across electricity, heating, cooling, and transport systems. His research integrates techno-economic modeling of new technologies with big data analytics and optimization techniques to maximize impact in real-world environments. Dr. Acha specializes in evidence-based analysis of integrated energy solutions, considering market dynamics, policy implications, and business implementation challenges. He was awarded Imperial College's President's Medal in 2022 for his impactful partnership work with Sainsbury's, which has supervised over 100 sustainability projects since 2010. Dr. Acha co-leads the Chemical Engineering Department's sustainability strategy and serves on the Faculty of Engineering Sustainability Committee.

• 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.

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.

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.

Daniel Donaldsonمشاهده پروفایل

استادیار

• Electrical Grids
• Power Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Dr. Daniel Donaldson is an Assistant Professor in the Department of Electronic, Electrical and Systems Engineering at the University of Birmingham. His research focuses on enhancing the planning and operation of global electrical grids, bridging industry and academic expertise. He holds a Professional Engineer (PE) license in California. Qualifications: BSc, MEng, PhD. His interdisciplinary work addresses challenges in power systems, renewable integration, and smart grid technologies. Biography: Combines academic leadership with industry experience, emphasizing practical solutions for energy infrastructure. Supervises postgraduate research in electrical engineering and related fields. Affiliations: School of Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.

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.

Daniel Mosseمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Cyber-Physical Systems
• +۸ مورد دیگر

Dr. Daniel Mosse is a Professor in the Department of Computer Science at the University of Pittsburgh. He holds a PhD from the University of Maryland, College Park, and has been a faculty member since 1993. His research focuses on distributed systems, real-time systems, power management, security, and fault tolerance, bridging operating systems and networking research. He has held leadership roles, including Chair of the Department of Computer Science since 2009 and Visiting Professorships in Brazil. His work spans grants totaling millions, addressing energy-efficient computing, secure infrastructure, and embedded systems. Education: PhD (1993), MS (1990), and BS (1985) in Mathematics and Computer Science. Research interests include distributed real-time systems, multicore systems, embedded systems, and wireless networks. Notable awards include the 2007 Provost's Innovation in Education Award and the 2006 Bellet Teaching Award. Key grants include NSF-funded projects on energy-efficient data centers, secure emergency management systems, and power-aware scheduling. He advises numerous students and teaches courses on operating systems and distributed systems. His contributions to real-time systems, fault tolerance, and energy management have been recognized through over 150 publications and international collaborations.

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.

Muhammad Faeyz Karimمشاهده پروفایل

دانشیار

• Microwave and mmWave radar
• Wireless power transfer
• Energy harvesting
• +۶ مورد دیگر

Dr. Muhammad Faeyz Karim is an Instructional Associate Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, with a faculty affiliation at the Texas A&M Energy Institute. His expertise spans microwave engineering, quantum photonics, and wireless systems. He holds a PhD in Electrical Engineering from Nanyang Technological University (2008), an MBA from Lancaster University (2012), and advanced degrees in Communication Engineering and Electrical Engineering. His research focuses on microwave/mmWave radar, wireless power transfer, quantum optics, and metamaterials. Key applications include bio-sensing, non-destructive testing (NDT), and energy harvesting. Notable achievements include a Best Paper Award at the 2004 Asia Pacific Conference and nominations for the Nanyang Education Award (2020/2021). Dr. Karim leads the MiWiRa Lab, advancing radar, wireless, and microwave technologies for healthcare monitoring and industrial applications. His work emphasizes collaboration across disciplines, with recent breakthroughs in quantum photonic chips for secure communication and AI-driven sensor systems. Publications span high-impact journals like Science Advances , Nature Communications , and ACS Photonics . Labs/Teams: MiWiRa Lab (Microwave, Wireless, and Radar Research) Grants: Active funding in quantum photonics, mmWave systems, and energy harvesting (details not specified) Teaching: Courses in engineering technology and industrial distribution