جستجوی استاد راهنمای دانشگاهی

Raúl Ordóñezمشاهده پروفایل

استاد

• Nonlinear Control
• Adaptive Control
• Extremum-Seeking Control
• +۴ مورد دیگر

Raúl Ordóñez is a full professor and Director of Graduate Programs in the Department of Electrical and Computer Engineering at the University of Dayton’s School of Engineering. He holds a Ph.D. and M.S. in Electrical Engineering from The Ohio State University (2001 and 1996) and a B.E. from Monterrey Institute of Technology. His research focuses on nonlinear control, adaptive systems, extremum-seeking control, and applications in aerospace, robotics, and power systems. Professional highlights include serving as Associate Editor for Automatica since 2006, co-authoring textbooks on adaptive control and extremum-seeking techniques, and holding editorial roles for IEEE conferences. Awards include the Boeing Welliver Faculty Fellowship (2008) and AFRL Summer Faculty Fellowship (2014). He has conducted research collaborations at institutions like Université de Picardie Jules Verne (France) and TU Wien (Austria). Key research areas include control of hypersonic vehicles, industrial robots, scramjets, and power generators. His work integrates advanced control methodologies with practical systems, emphasizing real-time optimization and robustness. Courses taught span control systems, nonlinear dynamics, and adaptive control. Education: Ph.D./M.S. (Ohio State), B.E. (Monterrey Tech) Professional Activities: IEEE Control Systems Society, CCCS Collaborative Center Recent Awards: AFRL (2014), Boeing (2008) Labs/Teams: Collaborates with robotics and aerospace teams at UD and international institutions

Robert Ferrierمشاهده پروفایل

استادیار

• Polymer Chemistry
• Energy Storage Materials
• Polymer Synthesis
• +۵ مورد دیگر

Robert Ferrier is an Assistant Professor in the Department of Chemical Engineering and Materials Science at Michigan State University's College of Engineering. His research focuses on polymer physics and chemistry, developing novel polymeric materials for applications in energy storage (e.g., battery electrolytes), clean water solutions, and addiction treatment through immune-active polymers. Education: Ph.D. in Chemical and Biological Engineering (University of Pennsylvania, 2015), M.S. and B.S. in Materials Science and Engineering/Physics (Drexel University, 2009). Received the NSF East-Asia and Pacific Summer Institutes Fellowship (2012). Active in grants, including an NSF-funded REU Site on sustainable chemistry (2022–2025). His research interests include polymer synthesis methodologies (e.g., epoxide polymerization with Earth-abundant metals), nanocomposite design, and ion-exchange membranes for batteries. Recent work explores plasmonic sensing in nanocomposites and low-cost soil monitoring technologies. Key publications highlight advancements in polymer electrolytes, Janus nanoparticles, and materials for medical imaging. Ferrier collaborates across disciplines, bridging polymer chemistry with engineering applications to address real-world challenges.

Tim M. Schwarzمشاهده پروفایل

پژوهشگر ارشد

• Corrosion Science
• Materials Science
• Bioresorbable Implants
• +۴ مورد دیگر

Dr. Tim M. Schwarz is a Research Fellow and Group Leader at the Max Planck Institute for Sustainable Materials, where he leads the 'Interfacial Processes/Reactions at the Atomic Scale' research group. He holds a Walter-Benjamin position funded by the German Research Foundation (DFG). His work focuses on understanding corrosion mechanisms at liquid-solid interfaces using advanced techniques like cryo-atom probe tomography. Key areas include magnesium alloys for bioresorbable implants, battery materials, and infrastructure steel durability. He has been awarded the Walter Benjamin Prize (2024), Otto Hahn Medal (2025), and Erwin Müller Prize for his contributions to materials characterization. Education: Ph.D. in Materials Science, RWTH Aachen University (2021–2024) M.Sc. in Materials Science, University of Stuttgart (2018–2021) B.Sc. in Materials Science, University of Stuttgart (2013–2018) Research Interests: His group investigates interfacial reactions in structural, energy, and functional materials, with a focus on corrosion processes, alloy design, and sustainable materials. Recent studies include magnesium alloy degradation, bioresorbable implants, and cryo-atom probe tomography for liquid-solid interface analysis. Grants & Collaborations: His DFG-funded research group collaborates with ETH Zurich on iron corrosion and infrastructure materials. Projects aim to develop corrosion-resistant materials and improve atom probe methodologies for biological and engineering applications. Awards: Walter Benjamin Prize (2024) Otto Hahn Medal (2025) Erwin Müller Prize Outstanding Paper Award 2024

Il Son Khanمشاهده پروفایل

پژوهشگر

• Catalysis
• CO2 Conversion
• Porous Materials
• +۳ مورد دیگر

Dr. Il Son Khan is a postdoctoral researcher in the Professorship for Energy Science and Engineering (LESE) at ETH Zürich. His research focuses on the conversion of carbon dioxide to methanol, leveraging expertise in porous materials and catalytic applications. He holds a Master’s degree from Novosibirsk State University (2016) and a Ph.D. in Chemistry from KAUST (2023), where he worked under Prof. Jorge Gascon. His work spans catalysis, renewable energy, and nanotechnology, with a particular emphasis on MOF-derived materials and heterogeneous catalysis. Education: Ph.D. in Chemistry, King Abdullah University of Science and Technology (KAUST), 2023 Master’s degree, Novosibirsk State University, 2016 Research Interests: CO₂ conversion to value-added chemicals Design of heterogeneous catalysts Porous materials (MOFs and their derived materials) Plasmonic and photo-thermal catalytic systems Advising & Grants: No explicit mention of advising students or grants in current text. Labs/Teams: Active in the LESE group at ETH Zürich, focusing on energy science and engineering applications.

• Technology Credit Scoring
• Operational Research
• Data Mining
• +۵ مورد دیگر

So Young Sohn is a distinguished Professor at Korea University's College of Business, Department of Management Engineering, with over two decades of impactful research in technology management and operations research. Her scholarly contributions have established her as a leading expert in technology credit scoring, data mining applications, and technology convergence analysis. Dr. Sohn's research interests span technology credit scoring for SMEs, operational research methodologies, data mining techniques, machine learning applications in business contexts, technology convergence patterns, patent analysis, and SME financing mechanisms. Her work bridges theoretical rigor with practical business applications, particularly focusing on Korean case studies that have broader international relevance. She has pioneered innovative approaches using knowledge graphs, multiplex networks, and deep learning techniques to solve complex business problems. Her publication portfolio reveals consistent research trends toward increasingly sophisticated analytical methods, evolving from traditional statistical models to advanced machine learning and network science approaches. Recent work demonstrates particular focus on technology convergence, digital therapeutics, and AI applications in business decision-making. The interdisciplinary nature of her research spans business analytics, engineering, healthcare, and environmental science. Dr. Sohn has received recognition through numerous high-impact publications in premier journals including Expert Systems with Applications, European Journal of Operational Research, Scientometrics, and IEEE Transactions. Her research has been consistently funded through competitive grants focusing on technology management and innovation. As an academic mentor, Dr. Sohn has advised numerous doctoral students who have gone on to productive research careers, with many continuing to collaborate with her on ongoing projects. Her research team has secured substantial funding for projects related to technology credit scoring, technology convergence analysis, and predictive analytics applications. Dr. Sohn leads a dynamic research laboratory focused on technology analytics and decision support systems, collaborating with industry partners and government agencies to translate research findings into practical business solutions. Her current work emphasizes sustainable technology development and AI-driven decision support systems for complex business environments.

Tadhg O'Donovanمشاهده پروفایل

استاد

• Green Technology
• Solar Energy
• Renewable Energy Systems
• +۳ مورد دیگر

Professor Tadhg O’Donovan is the Chief Scientist and Deputy Vice Principal (Academic Leadership) at Heriot-Watt University’s Dubai Campus, holding a Professorship in Mechanical Engineering. He earned a BSc (2001) and PhD (2005) from Trinity College Dublin, followed by roles as a Postdoctoral Research Fellow and Lecturer at Trinity before joining Heriot-Watt in 2007. He advanced to Associate Professor (2015) and Professor (2019), while leading the School of Engineering & Physical Sciences (Dubai) since 2018 and the Institute of Mechanical, Process, and Energy Engineering since 2021. Education: Bachelor’s in Mechanical & Manufacturing Engineering, Trinity College Dublin (2001) PhD, Trinity College Dublin (2005) His research focuses on Green Technology , particularly solar energy conversion, storage systems, and phase change materials . He emphasizes techno-economic approaches for renewable energy components, securing over £4M in grants as PI/Co-I, including Energy Catalyst and Knowledge Transfer Partnership projects. He established Renewable Energy Test Sites in Edinburgh and Dubai to optimize solar technologies under varied climatic conditions. Awards: EUROTHERM Young Scientist Award (2008) Grants & Collaboration: Secured £4M+ in research grants Industry partnerships for renewable energy systems Labs & Facilities: Manages the Renewable Energy Test Site, supporting solar device testing and renewable system optimization. Active in outreach, such as the 2015 'I'm an Engineer' Energy Zone event.

Ömer Cihan Kıvançمشاهده پروفایل

پژوهشگر

• Electrical Engineering
• Power Electronics
• Control Systems
• +۳ مورد دیگر

Ömer Cihan Kıvanç is a faculty member at the Faculty of Engineering and Natural Sciences, İstanbul Okan University, specializing in electrical engineering and power electronics. His research focuses on advanced motor control systems, energy management strategies, and smart grid technologies. He has contributed to innovative solutions in electric vehicles, renewable energy integration, and optimization algorithms. His work spans the design of high-efficiency electric motors (e.g., brushless DC and PMSM drives), hybrid energy storage systems, and intelligent energy management systems leveraging AI techniques like deep reinforcement learning and neural networks. He has also explored regenerative braking systems and V2G (Vehicle-to-Grid) technologies to enhance grid stability and energy efficiency. Key research trends include optimizing energy storage systems for industrial vehicles, improving prosumer comfort in smart grids, and developing cost-effective home energy management solutions. His studies often combine experimental validation with advanced modeling in tools like MATLAB/Simulink. Notably, his projects emphasize real-world applications, such as energy-efficient chargers using GaN semiconductors, crimping techniques for high-power plugs, and sensorless motor control methodologies. He has collaborated on interdisciplinary initiatives, including unmanned ground vehicle development and electro-hydraulic power steering systems. His advising and grants focus on fostering innovation in electric propulsion, energy systems, and automation. He has contributed to the development of laboratories and research centers at the university, though specific lab affiliations are not detailed in the provided texts.

Aykut Fatih GÜVENمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Optimization Algorithms
• Smart Grids
• +۳ مورد دیگر

Aykut Fatih GÜVEN is an associate professor at Yalova University, specializing in renewable energy systems and optimization algorithms. His work focuses on sustainable energy integration in microgrids, hybrid systems, and electric vehicle (EV) infrastructure. He has conducted extensive research on metaheuristic optimization algorithms like the Artificial Rabbit Algorithm and Cheetah Optimization, applying them to energy storage, distributed generation, and grid stability challenges. Education: Yalova University (PhD implied via academic rank). Research interests include renewable energy optimization, smart grid technologies, and algorithm-driven solutions for energy efficiency. His studies often address real-world applications such as EV charging stations, hydrogen storage, and cost-effective hybrid systems for public facilities. Key trends in his articles include hybrid energy system design, algorithmic optimization for control systems, and sustainability assessments in regional energy projects. He has explored topics like protective relay coordination, fractional PID controllers, and the economic feasibility of off-grid solutions. His work emphasizes practical implementations, such as feasibility studies for hybrid systems in Turkish regions (e.g., Yalova, Mugla) and the integration of renewable energy into public hospitals and hotels.

• Industrial Ecology
• Life Cycle Assessment
• Sustainability Science
• +۳ مورد دیگر

Anders Hammer Strømman is a Professor at NTNU’s Industrial Ecology Programme and Vice Dean for Sustainability at the Faculty of Engineering. His research focuses on sustainability science, energy systems, and climate change mitigation, leveraging tools like life cycle assessment (LCA) and multi-regional input-output analysis. He contributed to the IPCC’s Sixth Assessment Report and developed frameworks like the MariTEAM shipping emissions model and the B-LEAP battery platform. Strømman teaches graduate courses in LCA for Industrial Ecology and Energy & Environment programs. His work addresses challenges in lithium-ion battery production, aviation emissions, and maritime trade’s energy impacts. He received the Laudise Medal in 2011 for contributions to industrial ecology. Key projects include analyzing battery cost trajectories, optimizing plastic packaging circularity, and modeling global shipping emissions. His interdisciplinary approach bridges environmental science, engineering, and policy, with a focus on actionable solutions for decarbonization.

• Power Electronics
• Electric Vehicles
• Control Theory
• +۵ مورد دیگر

Davut Ertekin is an Associate Professor at the Department of Electrical and Electronics Engineering, Bursa Technical University (Türkiye), and a Visiting Research Fellow at the University of Western Australia's School of Engineering. He holds a Ph.D. from Atatürk University (2017) and has conducted research at Politecnico di Bari, Italy (2019). His expertise lies in power electronics, with a focus on DC-DC converters, inverters, electric vehicles, and renewable energy systems. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Education: Ph.D. in Electrical Engineering from Atatürk University (2017), followed by roles as Lecturer and Assistant Professor at Bursa Technical University before becoming an Associate Professor there. Research Interests: Power electronics, electric vehicle systems, control theory applications, photovoltaic integration, high-voltage gain converters, and material reliability testing for power modules. His research emphasizes grid stability, renewable energy efficiency, and smart grid technologies. Collaborations: Active in international research networks, focusing on sustainable energy solutions and advanced converter topologies. His work addresses challenges in energy storage, grid connectivity, and high-efficiency power conversion. Advising & Grants: No specific student advisees or grant details listed, though his publications suggest involvement in collaborative research projects. Labs/Teams: Engaged with research groups at Bursa Technical University and the University of Western Australia, focusing on experimental validation of power electronics designs.

• Signal Processing
• Communications Engineering
• Radar Systems
• +۵ مورد دیگر

Assoc. Professor Qinghua Guo holds a position at the University of Wollongong's School of Electrical, Computer and Telecommunications Engineering. He earned his PhD from City University of Hong Kong (2008) and has been affiliated with the University of Wollongong since 2019. His research focuses on signal processing, communications, radar systems, machine learning, and optical sensing, with notable contributions to graphical models and Bayesian inference. Prof. Guo is recognized as a top 2% influential scientist globally (Stanford University) and a leader in Electronics and Computer Science (Research.com). He serves as an Associate Editor for IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters, among other roles. His teaching spans undergraduate to postgraduate levels, including specialized subjects in engineering and information sciences. His recent research emphasizes integrated sensing and communication systems, federated learning, and secure beamforming in 5G/6G networks. He has supervised over 30 PhD and Master’s students in areas like MIMO systems, signal processing for IoT, and quantum sensing. Key funded projects include AFDM-SCMA (2025–2028) for IoT connectivity and Grant-Free Multiple Access for LEO satellite networks (2023–2027). His work bridges theoretical advancements with practical applications in robotics, energy systems, and defense technologies.

• Power Electronics
• Wireless Power Transfer
• Electric Vehicle Technology
• +۴ مورد دیگر

Nikolay Dimitrov Madzharov is a Professor at the Department of Electronics, Faculty of Electrical Engineering and Electronics, Technical University of Gabrovo. His work focuses on power electronics, wireless power transfer systems, and electric vehicle charging infrastructure. He has led and participated in numerous international and national projects, including modernization of educational institutions and development of energy-efficient systems. Research Interests: Wireless power transfer, inductive resonance systems, electric vehicle technology, energy storage systems, and control systems in energy. Projects: Over 7 projects, including 'Optimal Design and Management of Electrical Energy Storage Systems' and 'Intelligent Mechatronic, Eco- and Energy-Saving Systems and Technologies.' His research emphasizes practical applications, such as contactless charging stations and high-efficiency energy converters. Madzharov has authored 4 books and over 96 publications, including journal articles and conference papers on topics like resonant inverters and battery management systems. He has advised 6 doctoral students, contributing to advancements in power electronics and energy systems. His work has been presented at international conferences such as PCIM, ICEST, and SIELA, showcasing innovations in wireless energy transfer and system reliability.

• Clean, low-carbon transportation
• Vehicle technology modelling and assessment
• Renewable gaseous fuels
• +۳ مورد دیگر

Gordon McTaggart-Cowan is an Associate Professor and Associate Director in the School of Sustainable Energy Engineering at Simon Fraser University (SFU). He holds a Ph.D. (2006), M.A.Sc. (2002), and B.Eng. (1999) in Mechanical Engineering from the University of British Columbia and the University of Victoria. His research focuses on clean, low-carbon transportation technologies, including vehicle modeling, renewable gaseous fuels, and emissions control in internal combustion engines. He has pioneered work on hydrogen-diesel dual-fuel systems, natural gas engine optimization, and high-pressure fuel injection strategies. Recent publications highlight advancements in hydrogen compression systems, hybrid electric truck performance analysis, and thermoelectric energy harvesting. He has contributed to over 50 peer-reviewed articles and holds multiple patents on fuel injection and combustion control technologies. McTaggart-Cowan is an Associate Editor for the Proceedings of the Institution of Mechanical Engineers, Part D and collaborates internationally through visiting fellowships at Loughborough University and Michigan Technological University. Teaching responsibilities include fluid mechanics, thermodynamics, and sustainable energy design projects. His work aligns with global efforts to decarbonize heavy-duty transport and stationary power systems through innovative engine design and alternative fuel integration.

• Climate Compatible Growth
• Geospatial Modelling
• Machine Learning
• +۷ مورد دیگر

Stephanie Hirmer is an Associate Professor in Climate Compatible Growth at the University of Oxford’s Department of Engineering Science and a Visiting Research Fellow at the University of Cambridge’s Centre for Sustainable Development. She leads the Climate Compatible Growth (CCG) Programme as Deputy-Research Director and oversees Advanced Geospatial Modelling. Her work integrates community perspectives into energy decision-making, focusing on vulnerable groups and SDGs such as gender equality and clean energy. Education: DPhil (PhD) in Sustainable Development (University of Cambridge), MPhil in Development Studies, and BEng in Engineering. Professional experience includes roles with GIZ, KfW, and Arup, specializing in energy infrastructure in Africa, the Middle East, and Europe. Co-founder of Rural Senses, recognized for AI-driven data collection methods addressing energy access gaps. Research interests span geospatial modeling, machine learning (NLP), and value-based energy solutions. Current projects include Kenya’s energy planning, lithium-ion battery systems for rural schools, and green hydrogen’s role in development. Awards include Google and Microsoft social impact awards for Rural Senses. Key contributions include frameworks for climate resilience, energy policy analysis, and gender-inclusive infrastructure design. Active in global initiatives like the UKPACT project and FCDO-funded CCG Programme.

Mohsen Asadniaمشاهده پروفایل

استاد

• Biomedical Engineering
• Sensors Technology
• Smart Materials
• +۷ مورد دیگر

Prof. Mohsen Asadnia is a biomedical and mechatronics engineer and full professor at Macquarie University's School of Engineering, serving as director of Master by Research in the Faculty of Science and Engineering. With over 20 years of experience, his work focuses on smart materials, sensors, and biomedical engineering applications. He holds a PhD from Nanyang Technological University and postdoctoral experience at MIT. Research interests include biomimetic sensors, energy applications, and proteomics. He leads projects on CO₂ capture, lithium extraction membranes, and wearable sensors. Collaborations span fields like renewable energy, AI in mining, and inner ear theragnostics. Notable contributions include 3D-printed prosthetic devices and advanced sensor technologies. His work integrates engineering, materials science, and environmental sustainability, with over 200 peer-reviewed publications.