جستجوی استاد راهنمای دانشگاهی

Olamide Jogunolaمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Blockchain Technology
• Peer-to-Peer Energy Trading
• +۲ مورد دیگر

Dr. Olamide Jogunola is a Senior Lecturer in Cyber Security in the Department of Computing and Mathematics at Manchester Metropolitan University. She holds a B.Eng. in Electrical Engineering from University of Ilorin, M.Sc. in Networking and Data Communication from Kingston University, and Ph.D. in Electrical Engineering from Manchester Metropolitan University. Her research focuses on cybersecurity for distributed critical infrastructures like smart grids. Research Focus: Investigates blockchain and AI applications for privacy and uncertainty modeling in distributed systems. Current projects examine secure smart contracts, federated learning for intrusion detection, and cyber resilience in IoT-enabled infrastructures. Grant Leadership: Principal Investigator for multiple projects including the £228K 'AI-enabled smart EV charging infrastructure' (Innovate UK/KTP) and £5K EPSRC/SuperGen Network project. Secured over £500K in research funding across 8 projects including EU Horizon 2020 and DFID initiatives. Teaching: Leads undergraduate and postgraduate units in Networks, Computer Networks and Security, and HPC & Big Data. Supervises PhD research on blockchain applications, AI security, and peer-to-peer energy trading.

Herbert L. Ginnمشاهده پروفایل

استاد

• Power electronics applications in energy systems
• Power phenomena and compensation in non-sinusoidal systems
• Power quality
• +۳ مورد دیگر

Herbert L. Ginn is a Professor in the Department of Electrical Engineering at the Molinaroli College of Engineering and Computing , University of South Carolina. His research focuses on power electronics applications in energy systems, power quality, and control architectures for converters in microgrids and shipboard systems. Ph.D., Electrical Engineering, Louisiana State University (2002) M.S., Electrical Engineering, Louisiana State University (1998) B.S., Electrical Engineering, Louisiana State University (1996) His work explores power phenomena in non-sinusoidal systems , real-time digital twins for converters , and agent-based microgrid control . Key trends in his publications include smart grid technologies , renewable energy integration , and advanced control algorithms for power systems. Herbert teaches courses such as Industrial Controls , Digital Controls , and Shipboard Power Systems . Contact him at ginnhl@cec.sc.edu or Swearingen Room 3A30, Columbia, SC.

Pablo Borjaمشاهده پروفایل

مدرس

• Control Systems Engineering
• Robotics
• Passivity-Based Control
• +۵ مورد دیگر

Dr. Pablo Borja is a Lecturer in Control Systems Engineering at the University of Plymouth, UK. He holds a PhD in 'Automatique' from Paris-Saclay University (2017) and has held postdoctoral roles at the University of Groningen (2017–2021) and Delft University of Technology (2021–2022). His academic journey includes visiting research stints at Zhejiang University (2015) and the University of Groningen (2016). He currently teaches courses such as Engineering Mathematics and Control, Marine Engineering, and Autonomy Principles. Educations: Bachelor’s in Electrical and Electronics Engineering (UNAM, 2011) Master’s in Electrical Engineering (UNAM, 2013) PhD in Automatique (Paris-Saclay University, 2017) Research Interests: Pablo’s work focuses on control systems engineering, with an emphasis on energy-based and passivity-based control methodologies for mechanical systems, robotics, and DC microgrids. His research applies to underactuated systems, soft robotics, and stabilization techniques under uncertainty. He explores theoretical frameworks such as port-Hamiltonian systems and PID-PBC (Passivity-Based Control), with practical applications in robotics and energy systems. Advising & Collaborations: He supervises PhD projects on topics like energy-based control strategies for spasticity modeling, variable-stiffness actuators for bipedal locomotion, and structural analysis of floating energy storage systems. His past collaborations include supervising projects on satellite formation control and port-Hamiltonian system stabilization. Labs & Teams: While specific lab affiliations are not explicitly mentioned, his active role in teaching and research at the School of Engineering, Computing, and Mathematics reflects involvement in interdisciplinary projects. His work integrates robotics, control theory, and energy systems, fostering collaboration across mechanical, electrical, and systems engineering disciplines.

Afshin Rezaei-Zareمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Electrical Engineering
• +۶ مورد دیگر

Afshin Rezaei-Zare is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University. He holds a Ph.D. in Electrical Engineering from the University of Tehran and conducted postdoctoral research at the University of Toronto (2005-2009). His career spans academic and industrial roles, including 7 years at Hydro One Networks Inc. as a specialist in power system planning and reliability. Registered Professional Engineer (Ontario) Senior Member of IEEE Associate Editor, IEEE Transactions on Power Delivery Chair, IEEE Task Force on Power Equipment Vulnerability to GIC His research focuses on power system resilience to geomagnetic disturbances (GMD) , real-time simulation, and electric vehicle energy management . He pioneered the world’s first in-service GMD real-time simulator for Ontario Grid Control Center and contributed to renewable energy system optimization. His recent publications emphasize transformer protection under GIC conditions , EV battery charging analytics , and smart grid technologies . He has led critical advancements in GMD monitoring and mitigation strategies, including adaptive machine learning for battery state-of-charge prediction and DFACTS-based voltage unbalance control. Hydro One President Award in Innovation for GMD simulator development

Sebastien Nicolas Grosمشاهده پروفایل

استاد

• Model Predictive Control (MPC)
• Reinforcement Learning
• Stochastic Optimal Control
• +۵ مورد دیگر

Prof. Sebastien Nicolas Gros is a Full Professor and Head of the Department of Cybernetics at NTNU (Norway). He holds a PhD from EPFL (2007) and has held positions at Strathclyde University, KU Leuven, and Chalmers University of Technology. His research focuses on Model Predictive Control (MPC), Reinforcement Learning, Stochastic Optimal Control, and their applications in energy systems, autonomous systems, and bioengineering. Education: PhD in Control Systems, EPFL, Switzerland (2007) Postdoc at KU Leuven (2011-2013) Associate Professor at Chalmers University (2013-2017) Research Interests: Safe Reinforcement Learning, Data-Driven MPC, Energy Management in Buildings, Wave Energy Conversion, Artificial Pancreas Systems. His work is applied to industries like Equinor, DNV, and CorPower Ocean. Collaborations: Co-supervises PhD projects on Multi-Rotor Wind Turbine Control and Artificial Pancreas Industry partnerships with Volvo, SINTEF, and Pixii Labs: ITK Smart House, Hydroponics Units, Wave Energy Testbeds Grants & Projects: MAIDOM project for smart home energy management AWEbox framework for Airborne Wind Energy National and industrial grants for control systems research

Kianoosh Ghoami Boroojeniمشاهده پروفایل

استاد آموزشی

• Network Optimization
• Cybersecurity
• Smart Grids
• +۳ مورد دیگر

Kianoosh Ghoami Boroojeni is an Associate Teaching Professor at the School of Computing and Information Sciences, Florida International University. His academic journey includes a Ph.D. (2017) and M.Sc. (2016) in Computer Science from Florida International University, and a B.Sc. (2012) in Computer Engineering from the University of Tehran. He has co-authored five books with MIT Press and Springer, and published numerous peer-reviewed papers in journals and conferences. Ph.D., Computer Science, Florida International University (2017) M.Sc., Computer Science, Florida International University (2016) B.Sc., Computer Engineering, University of Tehran (2012) Boroojeni's research focuses on network optimization and cybersecurity, with specific applications in smart grids, distributed sensor networks, and oblivious routing algorithms. His work bridges theoretical advancements with practical implementations in energy systems and network security. His publications span topics like electric power demand forecasting, economic dispatch algorithms, and cloud-based oblivious routing platforms. Key themes include smart grid security, optimization techniques, and network algorithms. He has received multiple awards for his research excellence, including best paper recognitions and graduate fellowships. Best Paper Award (NSF-REU Workshop, Summer 2017) Best Graduate Student Research Award (Florida International University, 2016) Dissertation Year Fellowship Award (Florida International University, 2016) Best Paper Award (Eighth International Conference on Computer Communication Networks, July 2014) As an educator, Boroojeni contributes through teaching and research supervision, though no explicit student list is provided in the text. He maintains active involvement in advancing cybersecurity frameworks and energy system optimization methodologies.

Graziana Cavoneمشاهده پروفایل

استادیار

• Decision Support Systems
• Modeling and Control of Complex Systems
• Transportation Systems Optimization
• +۴ مورد دیگر

Graziana Cavone is an Assistant Professor in Systems and Control Engineering at the University Roma Tre. She holds a Ph.D. in Electronic and Information Engineering from the University of Cagliari and is qualified as an Associate Professor in Automatica. Her research focuses on decision support systems, transportation networks, energy systems, and industrial automation, with expertise in Model Predictive Control (MPC), Petri Nets modeling, and resilient infrastructure design. Education: Ph.D. (Excellent with Honors), Electronic and Computer Engineering, University of Cagliari (2018) Master’s (Summa Cum Laude), Control Engineering, Polytechnic of Bari (2013) Research Interests: Optimization of intermodal transport terminals and railway networks Energy-efficient building management and microgrids Cyber-physical systems in Industry 4.0 Resilient critical infrastructure control Human-robot collaboration and safe ergonomics Grants & Leadership: Principal Investigator for a National Natural Science Foundation of China grant (2020–2021) Recipient of multiple RTD-B and research fellowships in control systems and automation Organizer of international conferences like IEEE CASE 2024 and MED 2021 Labs & Collaborations: Member of the Decision and Control Laboratory at University Roma Tre Collaborations with institutions like Delft University of Technology and Southwest Jiaotong University Industry partnerships with Enel, Fiat Chrysler Automobiles, and Elettric80

Jonathan Nixonمشاهده پروفایل

پژوهشگر

• Wind Energy
• PV-Battery Systems
• Solar Thermal
• +۵ مورد دیگر

Dr. Jonathan Nixon is a Senior Researcher and Associate Director for Research and Engagement at Coventry University's College of Engineering, Environment and Science. With a PhD from Aston University, his work focuses on renewable energy technologies including solar, wind, and bioenergy, particularly in humanitarian contexts such as refugee camps and cold climate environments. He leads the Innovate UK Energy Catalyst Project 'Solar Energy Transitions: Inclusive e-cooking in sub-Saharan Africa' and previously served as co-investigator on the EPSRC-funded Humanitarian Engineering and Energy for Displacement (HEED) project. Education: PhD in Hybrid Solar-Biomass Power Plants from Aston University His research integrates machine learning and Internet of Things (IoT) to optimize renewable energy systems through advanced energy systems modeling , life cycle assessment , and decision support systems . Key expertise areas include: Wind Energy PV-Battery Systems Solar Thermal Thermochemical Conversion Energy Optimization Cold Climate Adaptations Recent publications highlight trends in linear fresnel reflector optimization , biogas seasonal variation , and smart microgrid management across 2022-2024. His work emphasizes energy democratization and SDG7 implementation through community-engaged approaches. Scientific awards include: 2014 Outstanding Reviewer – Emerald Literati Network Awards for Excellence Research collaborations span companies, NGOs, and grassroots organizations with fieldwork in Rwanda, Nepal, and Pakistan. Current PhD projects focus on anaerobic digestion optimization , micro-grid load shedding , and wind turbine operations in cold climates .

Kristen Schellمشاهده پروفایل

پژوهشگر

• Large scale optimization
• Applied statistics
• Machine learning
• +۶ مورد دیگر

Kristen Schell is a Research Scientist in the Industrial and Systems Engineering Department at Rensselaer Polytechnic Institute, part of the School of Engineering. Her work focuses on mathematical models for energy transition, combining wind energy forecasting, microgrid design, and spatio-temporal statistical methods. She holds dual doctoral degrees in Engineering and Public Policy from Carnegie Mellon University and the University of Porto, alongside a Master's in Environmental Engineering from Johns Hopkins University and a Bachelor's in Chemical Engineering from Carnegie Mellon University. Education: PhD in Engineering and Public Policy, Carnegie Mellon University PhD in Faculty of Engineering, University of Porto MS in Environmental Engineering, Johns Hopkins University BS in Chemical Engineering & Engineering and Public Policy, Carnegie Mellon University Her research interests span large-scale optimization, applied statistics, machine learning, renewable energy systems, and energy policy. She develops models informed by empirical data from utilities, weather predictions, and energy markets to address climate resilience and energy infrastructure challenges. Dr. Schell is actively mentoring PhD students in optimization modeling, statistical methods, and machine learning applications in energy systems. Her work bridges technical and policy dimensions of sustainable energy transitions.

• Electromagnetic Engineering
• Radio Frequency Systems
• Antenna Design
• +۷ مورد دیگر

Raed Abd-Alhameed is a Professor of Electromagnetic and Radio Frequency Engineering at the University of Bradford, UK. He holds adjunct roles at Ninevah University and Basrah University. His expertise lies in antenna design, computational electromagnetics, and bioelectromagnetics. He leads the Communications Systems, Antennas, Propagation, and Computational Electromagnetics research group within the Faculty of Engineering and Informatics. His academic journey includes B.Sc. and M.Sc. from Basrah University (1982, 1985) and a Ph.D. from the University of Bradford (1997). Research interests span hybrid computational techniques, MIMO systems, energy-efficient antennas, and biomedical applications like breast cancer detection via RF sensing. He has supervised over 800 publications and eight books. Notable achievements include developing the hybrid method for electromagnetic field computation and pioneering low SAR antenna designs. Grants & Partnerships: EPSRC-funded projects, KTP collaborations with companies like Arris and Yorkshire Water, and EU initiatives on bioelectromagnetic effects. Awards: Certificate of Excellence (2014), Business Innovation Award, Fellowships from IET and HEA. Labs: Leads antenna design and 5G/6G initiatives, with active projects on reconfigurable filters and phased arrays.

Chris Diduchمشاهده پروفایل

استاد

• Control Systems
• Power Systems
• Renewable Energy Integration
• +۲ مورد دیگر

Chris Diduch is a Professor in Electrical and Computer Engineering at the University of New Brunswick. His research develops control strategies for power systems with high renewable penetration, focusing on voltage regulation and microgrid management. Key research areas: Smart grid optimization algorithms Renewable energy integration Demand-side management systems

Kristen Schellمشاهده پروفایل

دانشیار

• Wind power modeling and forecasting
• Power systems planning
• Renewable energy policy design
• +۳ مورد دیگر

Professor Kristen Schell is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Carleton University, joining in July 2020. She holds dual PhDs in Engineering from Carnegie Mellon University and the University of Porto, alongside degrees from Johns Hopkins and Carnegie Mellon. Her research focuses on renewable energy integration, including wind power modeling, electricity market dynamics, and policy design for sustainable energy systems. B.S. Chemical Engineering - Carnegie Mellon University M.S.E. Environmental Engineering - Johns Hopkins University Dual Ph.D. Engineering - Carnegie Mellon University & University of Porto Her work combines machine learning and optimization to address energy transition challenges, leveraging empirical datasets from utilities and climate models. She previously held roles at Rensselaer Polytechnic Institute (RPI) and Polytechnique Montréal, contributing to a US DOE ARPA-E grant. Currently leads the APEX lab, offering a PhD position in Physics-informed Deep Learning for Wind Power. No individual scientific awards listed, though part of team-awarded DOE funding. Active in federal-to-community energy policy advising.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +۲ مورد دیگر

Ziqian Zhang is an Associate Professor at the Institute of Electrical Power Systems, Graz University of Technology. His research focuses on power system dynamics, grid-forming converters, and renewable energy integration. He actively contributes to projects like PHIL-TEST-PV and pro.tect, investigating inverter performance and protection technologies. Research interests include: Grid-forming converter control strategies Power hardware-in-the-loop testing methodologies Stability analysis of multi-converter systems Renewable energy grid integration challenges His publications demonstrate consistent focus on converter technologies and grid stability, with recent work exploring adaptive parameterization and dynamic performance boundaries.

Alexandra M. Newmanمشاهده پروفایل

استاد

• Applied Optimization
• Transportation Logistics
• Mine Production Scheduling
• +۵ مورد دیگر

Alexandra M. Newman is a Professor in Mechanical Engineering at Colorado School of Mines and serves as the Director of the Operations Research with Engineering Program. Her research focuses on applied optimization across diverse domains including mining, energy systems, healthcare, and sports scheduling. Education: BS in Applied Mathematics, University of Chicago MS in Operations Research, University of California, Berkeley PhD in Industrial Engineering and Operations Research, University of California, Berkeley Her work addresses complex logistical challenges in underground mine planning, renewable energy deployment, and counterinsurgency modeling. Recent publications emphasize microgrid resilience, electric vehicle energy consumption, and optimization of hybrid solar power systems. Notable research trends include: Integration of sustainability metrics in mining and energy systems Advancements in dispatch optimization for renewable energy Application of stochastic modeling to athletic and healthcare scheduling

Mahshid Amirabadiمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Microgrids
• +۴ مورد دیگر

Mahshid Amirabadi is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University. Her research focuses on power electronics for renewable energy systems, microgrids, variable speed drives, and wireless power transfer. She holds a PhD from Texas A&M University and has held academic positions at the University of Illinois at Chicago and Northeastern University since 2013. Education PhD, Electrical Engineering (Power-Power Electronics), Texas A&M University (2013) MS, Electrical Engineering (Power-Power Electronics), University of Tehran (2006) BS, Electrical Engineering (Electronics), Shahid Beheshti University (2002) Research Interests Dr. Amirabadi’s work centers on designing efficient and reliable power converters, particularly for renewable energy integration and high-frequency applications. She develops universal converters to streamline energy conversion processes across various systems. Key Awards NSF CAREER Award (2021) IEEE Transactions on Power Electronics Best Paper Awards (2020, 2021) Best Paper at IEEE ECCE (2016) Grants & Advising She leads NSF-funded research on universal SiC-based converters and has secured grants from the Office of Naval Research and ARPA-E. Her advisees include PhD students Ehsan Afshari and M. Khodabandeh, contributing to impactful publications in top journals. Labs & Teams Her lab focuses on advanced converter topologies and their applications in renewable energy systems, collaborating on projects like ARPA-E’s universal power converter initiatives.