جست‌وجوی استاد و پژوهشگر

Chanan Singhمشاهده پروفایل

استاد

• Reliability of Electric Power Systems
• Integration of Renewable Energy Sources
• Cyber-Physical Systems Reliability
• +۳ مورد دیگر

Chanan Singh is a distinguished academic serving as a Professor in the Department of Electrical and Computer Engineering at Texas A&M University. He holds the Irma Runyon Chair and is a Regents Professor. His affiliations include the College of Engineering and a Guest Professorship at Tsinghua University's Department of Electrical Engineering (2010–2015). Dr. Singh earned his Ph.D. in Electrical Engineering from the University of Saskatchewan, alongside M.S. and B.S. degrees from the same institution and Punjab Engineering College, respectively. His research focuses on reliability and security of electric power systems , including renewable energy integration and cyber-physical systems resilience. He pioneered methodologies for hurricane impact analysis, cyber-malfunction modeling, and wind farm optimization. Key achievements include the IEEE-PES Roy Billinton Award (2010), PMAPS Merit Award (2008), and Fellow of IEEE (1991). His work has been recognized globally, including through over 20 major awards and fellowships. Dr. Singh advises students like Hangtian Lei and leads funded projects on power system resilience. He is affiliated with the Electric Power System Group , advancing interdisciplinary research in energy systems and reliability engineering.

Chao Tianمشاهده پروفایل

دانشیار

• Information Theory
• Distributed Data Storage
• Coding Theory
• +۶ مورد دیگر

Dr. Chao Tian is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from Cornell University (2005) and a B.E. from Tsinghua University (2000). His research focuses on information theory, distributed storage systems, coding theory, and machine learning applications, including large language models (LLMs) and privacy-preserving techniques like steganography and private information retrieval (PIR). He has received notable awards, including the 2017 IEEE Jack Wolf ISIT Best Student Paper Award and the 2014 IEEE ComSoc DSTC Best Paper Award. Dr. Tian’s work bridges theoretical foundations and practical applications, such as optimizing storage codes for distributed systems, developing secure PIR protocols, and exploring LLMs in energy and steganographic contexts. His group has pioneered methods for variable-order Markov chain modeling with transformers and designed quantization techniques for perceptual quality. Recent activities include a faculty development leave at MIT/Harvard and delivering distinguished lectures globally on AI and information theory. He advises students on cutting-edge topics like LLM-based steganography and diffusion models. His publications span journals like IEEE Transactions on Information Theory and conferences such as NeurIPS and ISIT, with a focus on coding theory, privacy, and machine learning. He has also contributed to open-source tools like the CAI toolbox for investigating information-theoretic limits. Current projects include optimizing cryptocurrency mining in energy markets and advancing federated learning with adversarial robustness.

Jianqiang Chengمشاهده پروفایل

دانشیار

• Stochastic Programming
• Robust Optimization
• Distributionally Robust Optimization
• +۷ مورد دیگر

Dr. Jianqiang Cheng is an Associate Professor in the Department of Systems and Industrial Engineering at the University of Arizona, College of Engineering. He is also a member of the Graduate Faculty and affiliated with the Applied Mathematics and Statistics Graduate Interdisciplinary Programs. His research is centered on optimization under uncertainty with applications in energy systems and logistics. Research Interests: His primary research areas include stochastic programming, robust optimization, distributionally robust optimization, semidefinite programming, and chance-constrained optimization. He applies these methodologies to challenges in power systems, renewable energy integration, microgrid design, and resilient supply chains. The recent publications (2020–2022) reflect a strong trend toward data-driven and computationally efficient methods in optimization. Key themes include distributionally robust optimization under moment and Wasserstein ambiguity, chance-constrained AC optimal power flow, and resilient supply chain modeling under disruptions such as the COVID-19 pandemic. His work frequently appears in top journals like INFORMS Journal on Computing , IEEE Transactions on Power Systems , and European Journal of Operational Research . Scientific Awards: Best Short Paper Award, INFORMS Workshop on Data Science (Fall 2022) NSF CAREER Award, National Science Foundation (Spring 2022) Science Foundation Arizona's 2017 Bisgrove Scholar (Spring 2017) Dr. Cheng has secured significant research funding, including the NSF CAREER Award, supporting his work in data-driven optimization. He collaborates extensively with researchers in energy systems and operations research, including K. Pan, M. Cheramin, A. M. Fathabad, and A. Lisser. While specific advisees are not listed, his role as a member of the Graduate Faculty indicates active supervision of graduate students in systems engineering, applied mathematics, and statistics. His research contributes to the development of advanced optimization models for real-world systems affected by uncertainty, particularly in energy and logistics. Though no specific lab is mentioned, his work implies involvement in computational optimization and energy systems modeling research groups within the College of Engineering.

Charles Raymond Sarimuthuمشاهده پروفایل

مدرس ارشد

• Power Systems
• Renewable Energy
• Smart Grids
• +۳ مورد دیگر

Dr. Charles Raymond Sarimuthu is a Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University Malaysia. He holds a Ph.D. in Electrical Power Engineering from National Energy University, Malaysia. His research focuses on voltage control, power transformers, distribution systems, renewable energy, and smart grids. He actively supervises undergraduate and postgraduate students and has published extensively in high-impact journals such as Electric Power Systems Research and Renewable Energy . Dr. Sarimuthu has collaborated on projects including the Electric Field Imaging (EFI) Sensor for Comprehensive Static Charge Analysis (2024-2025) and the Fundamental study on memristor switching performances (2023-2026). He has also led the Investigation of on-load tap changer transformer operation (2019-2022), demonstrating expertise in grid stability and renewable integration. Teaching commitments include ECE3051 - Electrical Energy Systems , ECE4053 - Electrical Energy-Generation and Supply , and ECE5886/6886 - Smart Grids . He is a member of professional bodies such as the Board of Engineers Malaysia (BEM) and IEEE. His work aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Recent research highlights include game theory approaches for voltage control and adaptive synchronverter technologies for solar power systems.

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

Silvia Jiménez Fernández is an Associate Professor in the Department of Signal Theory and Communications at Universidad Autónoma de Madrid. Her research focuses on optimization algorithms, smart grids, renewable energy systems, telemedicine, and machine learning applications. She holds a Ph.D. from Universidad Politécnica de Madrid (2009), supervised by Dr. Francisco del Pozo Guerrero and Dr. Paula de Toledo Heras. Her work integrates interdisciplinary approaches, such as combining evolutionary algorithms with engineering challenges in energy systems and healthcare. Key contributions include advancements in coral reefs optimization algorithms for energy management, machine learning for battery health estimation, and telemedicine systems for chronic disease monitoring. Recent research trends emphasize hybrid learning models in education, multi-objective optimization in renewable energy systems, and risk analysis in smart grids with electric vehicles. She is affiliated with the GHEODE Research Group (Modern Heuristics and Network Design).

Daniel Chicksandمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Operations Strategy
• +۹ مورد دیگر

Professor Daniel Chicksand is a faculty member in the Department of Management at Birmingham Business School, University of Birmingham , where he holds the rank of Professor of Operations and Supply Management . He also serves as the Director of the Distance Learning MBA programme. Daniel has held academic positions at Warwick Business School and Aston Business School prior to joining Birmingham in 2016 as a Reader, being promoted to full Professor in 2021. Education: PhD in Commerce, University of Birmingham (2009) MBA in Business Strategy & Procurement, University of Birmingham (2003) MSc in Industrial Logistics, University of Central England (1996) BSc in Industrial Information Technology (2:1 hons), University of Central England (1995) Postgraduate Certificate in Academic and Professional Practice, University of Warwick (2011–2013) Daniel’s research is centered on Operations and Supply Chain Management , with a strong theoretical foundation in Resource Dependency Theory (RDT) . His work explores power dynamics , value appropriation , and relationship management in buyer-supplier interactions across sectors such as food, construction, and sustainable supply chains. He has a growing interest in servitization and its impact on value creation. His methodological approach is primarily qualitative, using case-based research. The recent publications reflect a consistent focus on power and negotiation in procurement , resilience and disruption in supply chains (including simulation modeling), and sustainability reporting . His research spans both private and public sectors and often involves international collaboration with institutions in the UK, Europe, and the US. Scientific Engagement and Awards: Visiting Lecturer at Audencia Nantes School of Management (France) Visiting Lecturer at Ecole des Ponts ParisTech and Solvay Business School (France/Belgium) Educator for Duke Corporate Education Collaborator with leading researchers from Aston, Cardiff, Cranfield, Loughborough, Linkoping, and Fox Business School Daniel supervises multiple doctoral students and is involved in pilot research projects funded by the British Academy and the Chartered Institute of Logistics and Supply. He also leads two consultancy firms— DDC Solutions Ltd and Opsworks Ltd —delivering bespoke training and education programmes to corporate clients like UBS, KPMG, and Adams Foods. His prior experience as a business owner in African arts and crafts importation provides practical insights into supply chain and operations management, enriching his teaching and research. Laboratories and Research Teams: Member of the Aston Centre for Seritization Research and Practice (2015–present) Collaborative research network across UK, European, and US universities Lead on projects involving discrete-event simulation and gamification in SCM

Omar Hegazyمشاهده پروفایل

استاد

• Power Electronics Systems
• Electric Vehicles
• Battery Management Systems
• +۷ مورد دیگر

Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.

• Power Electronics
• Control Systems
• Renewable Energy Conversion
• +۷ مورد دیگر

Jose Miguel Espi Huerta is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is an active researcher in power electronics and control systems, contributing significantly to grid-connected converters, renewable energy integration, and digital control techniques. His research interests include: Power Electronics and Inverter Control Predictive and Robust Control Strategies Renewable Energy Systems (Photovoltaic and Wind) Induction Heating Technologies Remote and Web-Based Educational Labs The analysis of his recent publications reveals a strong focus on improving the efficiency and reliability of grid-connected power converters using advanced control methods such as predictive current control and MPPT strategies. His work spans both industrial applications and academic education, particularly in developing remote laboratory platforms for control systems. Scientific awards and honors: No awards listed in the provided text. He has supervised academic theses and is affiliated with the LEII (Laboratory of Industrial Electronics and Instrumentation) research group. While no formal grants are listed, his extensive publication record indicates sustained research activity. He has contributed to the development of educational tools such as air levitation systems accessible via PLC and web interfaces, promoting innovative teaching methods in engineering education. The LEII research group focuses on industrial electronics, instrumentation, and power systems, providing a collaborative environment for applied research in energy conversion and control technologies.

Xiao-Ping Zhangمشاهده پروفایل

استاد

• Electrical Power Systems
• Smart Grids
• High-Voltage Direct Current (HVDC)
• +۱۵ مورد دیگر

Professor Xiao-Ping Zhang is a full-time Professor of Electrical Power Systems at the Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, UK. He holds leadership roles as Director of Smart Grid at the Birmingham Energy Institute and Co-Director of the Birmingham Energy Storage Centre (sponsored by EPSRC), and leads the Electrical Power & Control Systems Group. PhD in Electrical Engineering, 1993 MSc in Electrical Engineering, 1990 BEng (Hons) in Electrical Engineering, 1988 His research focuses on the transformation of modern power systems, with core interests in Smart Grids, HVDC and FACTS technologies, renewable energy integration (wind and wave), control of PHEVs in power grids, energy markets using game theory, smart metering, distributed energy management, and wide-area grid awareness. He pioneered the concepts of 'Global Power & Energy Internet' and 'Energy Union,' the latter adopted by the European Commission, and envisioned the Midlands as the UK’s 'Energy Valley,' now realized through national initiatives. His recent publications reflect a strong trend in advancing HVDC/FACTS control, stability analysis in renewable-rich grids, energy storage integration, smart grid optimization, and market modeling. The articles span high-impact journals such as IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid, demonstrating sustained leadership in electrical power engineering. IEEE Fellow IET Fellow Alexander-von-Humboldt Fellow Foreign Fellow of Chinese Society for Electrical Engineering (CSEE) Professor Zhang has secured substantial research grants from UK Government (Science City Initiative), EPSRC, FP7 EU Smart Energy Network Programme, and industry partners. He advises doctoral students in key areas of power systems and smart grids. He established two advanced laboratories at the University of Birmingham: the Smart Power Grid Laboratory and the Real-time Power Grid Simulation, Measurement, Protection and Control Laboratory. He also initiated the UK-China Smart Grid Workshop series, leading to 13 joint research projects. He is actively involved in professional leadership, serving as Editor for IEEE Transactions on Smart Grid and IEEE Transactions on Power Systems, IEEE PES Distinguished Lecturer, Secretary of IFAC Technical Committee on Power and Energy Systems Control, and Co-Chair of the IEEE PES Working Group on Test Systems for Economic Analysis. He has contributed to UK national energy policy, including reports for the Prime Minister’s Council for Science and Technology.

Frank Kellyمشاهده پروفایل

استاد

• Random processes
• Networks
• Optimization
• +۳ مورد دیگر

Professor Frank Kelly holds the Professor of the Mathematics of Systems at the University of Cambridge , affiliated with the Department of Pure Mathematics and Mathematical Statistics (DPMMS). His work bridges theoretical insights with practical applications in random processes , networks , and optimization . Academic Rank: Professor Department: DPMMS Research Themes: Stochastic systems, network resource allocation, mathematical modeling Kelly’s research focuses on stochastic networks , including congestion control in communication systems, fair bandwidth sharing , and electricity grid optimization . His work often incorporates proportional fairness principles and Markov models to analyze complex systems. Recent publications reveal a trajectory in network dynamics and resource allocation , with applications to electric vehicles, satellite routing, and virtualized networks. His work shows interdisciplinary impact across computer science , telecommunications , and energy systems . Kelly has contributed foundational works like Stochastic Networks (2014) and pioneered models for loss networks and congestion control . He maintains active collaborations and has advised on policy matters, including spectrum auctions and network regulation.

Ashish Khistiمشاهده پروفایل

دانشیار

• Communication Systems
• Information Theoretic Security
• Machine Learning
• +۴ مورد دیگر

Ashish Khisti is an Associate Professor at the University of Toronto's Department of Electrical and Computer Engineering (ECE), where he directs the Signals, Multimedia and Algorithms Laboratory (SMA Lab). He holds the Canada Research Chair (Tier II) and maintains affiliations with the Vector Institute for Artificial Intelligence. His research bridges communication systems, information-theoretic security, and machine learning, with a focus on real-time streaming and privacy-preserving algorithms. Research Trends: Recent publications emphasize streaming codes for latency-sensitive networks , machine learning-driven compression , and privacy mechanisms in federated learning . Scientific Recognition: Canada Research Chair (Tier II), 2012 and 2017 renewal Cisco Research Center Award, 2017 Ontario Early Researcher Award, 2012 Best Paper at NeurIPS 2021 Deep Generative Models Workshop Academic Contributions: Supervised PhD students Ahmed Badr, Farrokh Etezadi, and Si-Hyeon Lee. Served as Associate Editor for IEEE Transactions on Communications (2012-2015) and IEEE Transactions on Information Theory (2015-2018). Labs & Collaborations: Leads the Signals, Multimedia and Algorithms Laboratory, collaborating with institutions like KAUST, Texas A&M University (Qatar), and the Vector Institute. Organized workshops at BIRS and IEEE conferences.

Lina von Sydowمشاهده پروفایل

استاد

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

• Reliability Engineering
• Power Systems
• Electrical Engineering
• +۵ مورد دیگر

Peter C.J.M. van der Wielen is a part-time Professor of Reliability Grid Components at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), while maintaining a full-time role as Business Director for Power Failure Investigations and Principal Consultant in Power Cables at DNV GL – Energy. His work bridges academic research and industrial applications, focusing on grid component reliability, power cable technology, and asset management. Role: Part-time Professor (since 2018) Primary Affiliation: DNV GL – Energy (since 2000) Academic Affiliation: TU/e Department of Electrical Engineering His research interests center on grid component reliability , power cable degradation , and failure analysis , with a strong emphasis on translating scientific findings into practical tools like "Smart Cable Guard" for on-line partial discharge monitoring in medium voltage cables. He explores remaining life estimation , condition assessment , and maintenance methodologies to enhance power grid availability. Recent publications highlight his expertise in load scenario modeling using copulas, thermal monitoring of power cables via wave velocity, and congestion management strategies for power grids. These works align with his broader focus on asset management and reliability engineering . Scientific Awards : Hidde Nijland Award (2014) for groundbreaking power cable technology research At DNV GL, he leads power failure investigations and provides consultancy on power cable systems. As a TU/e Professor, he teaches grid component reliability and contributes to research on degradation mechanisms , failure analysis , and dynamic cable rating in collaboration with industry partners.

• Bioinformatics
• Computational Biology
• Protein Informatics
• +۳ مورد دیگر

Barış Ethem Süzek is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering, Muğla Sitki Koçman University. His academic career spans institutions including Middle East Technical University (BS), Johns Hopkins University (MS), and George Mason University (PhD) in Computational Biology. He specializes in bioinformatics and computational biology, focusing on protein informatics, genetic analysis, and machine learning applications in medical research. Education BS: Middle East Technical University - Computer Engineering (1997) MS: Johns Hopkins University - Computer Science (2000) PhD: George Mason University - Computational Biology (2012) His research integrates bioinformatics with molecular dynamics, particularly in host-pathogen interactions, regenerative medicine, and genomic data analysis. He has developed machine learning tools for viral interaction prediction and variant analysis systems. His work with UniProt and cancer Biomedical Informatics Grid projects demonstrates expertise in large-scale biological data integration. Scientific awards include Collaboration, Outstanding Achievement, and Change Agent Awards from the cancer Biomedical Informatics Grid, plus multiple patent recognitions for biomedical systems. He has supervised numerous graduate students in bioinformatics, computational genetics, and forensic biology projects.

• Sustainable Energy
• Climate Resilience
• Transportation Engineering
• +۷ مورد دیگر

Costa Samaras is the Trustee Professor of Civil and Environmental Engineering and Director of the Scott Institute for Energy Innovation at Carnegie Mellon University . He is also affiliated with the Department of Engineering and Public Policy and Heinz College of Information Systems and Public Policy . From 2021–2024, he served in the White House Office of Science and Technology Policy as Chief Advisor for the Clean Energy Transition. Education: Joint Ph.D. in Civil and Environmental Engineering and Engineering and Public Policy (Carnegie Mellon University), MPA (New York University), BS (Bucknell University) His research bridges engineering, systems analysis, and public policy to address climate change mitigation, electric and automated transportation, energy system decarbonization, and national security . He focuses on climate-resilient infrastructure, AI ethics, and policy frameworks for equitable energy transitions. Recent work with his students explores drone delivery systems, hydropower in Africa, and grid emissions tracking . The 15 most recent articles span decarbonization of transportation , climate-resilient infrastructure , AI applications in adaptation , home electrification equity , and power sector emissions . These appear in journals like Nature , Nature Climate Change , Environmental Research Letters , and Patterns . Scientific leadership includes founding the Center for Engineering and Resilience for Climate Adaptation and the Power Sector Carbon Index . His team has been recognized with dissertation awards at Carnegie Mellon University. He regularly advises federal agencies, utilities, automotive companies, and technology firms , and has been featured in The New York Times , NPR , PBS , and WIRED .