جستجوی استاد راهنمای دانشگاهی

Ertem Esinerمشاهده پروفایل

پژوهشگر

• Cryptography
• Security
• Privacy
• +۱ مورد دیگر

Dr. Ertem Esiner is a Senior Research Scientist and Coordinator at the Illinois Advanced Research Center at Singapore (Illinois ARCS), affiliated with the University of Illinois Urbana-Champaign. He holds a Ph.D. in Computer Science and Engineering from Nanyang Technological University (2017), an M.Sc. in Computer Science and Engineering from Koç University (2013), and a B.Sc. in Computer Engineering from Koç University (2011). His academic career includes teaching assistantships at both NTU and KU. Cryptography Security Privacy Cyberphysical Systems His research focuses on security solutions for cyberphysical systems, including the development of a security engine for enforcing automated policies and provenance verification in industrial control systems. Current projects include the Plug & Play Security Engine (Principal Investigator, 2023-2026) and automated security policy generation tools for IIoT environments. His work spans applications in smart grids, building energy management, and communication-based train control systems. Recent publications demonstrate a trend toward real-time security enforcement and provenance tracking in time-critical systems, including patented solutions for message authentication. He has secured multiple research grants totaling 5+ years of funding and leads teams of 4-7 members across collaborative projects with NTU, RESYNC Technologies, and Singapore-ETH Centre. Notable researcher from CREATE (2019) SINGA PhD scholarship recipient WOWZAPP 2012 hackathon winner UPE/ACM Scholarship awardee Vehbi Koç Scholarship recipient He has contributed to ACM and IEEE journals, developed a Building Energy Management System (BEMS) testbed , and published foundational work on secure data storage, query integrity, and decentralized access control mechanisms. His teaching experience includes courses on cryptography, operating systems, and algorithm design.

Cristiana Bolchiniمشاهده پروفایل

استاد

• Dependability
• Fault Tolerance
• Reliability Analysis
• +۸ مورد دیگر

Cristiana Bolchini is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. She holds a PhD in Automation and Computer Science Engineering (1997) and a Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Her research focuses on dependable systems, fault tolerance, and embedded systems design, with recent work on ICT solutions for smart buildings and energy efficiency. She coordinates projects such as the FP7 SAVE initiative and serves on technical committees for conferences like DATE and DAC. Education: PhD in Automation & Computer Science (1997), Laurea in Electronic Engineering (1993), both from Politecnico di Milano. Research interests span dependability (fault modeling, diagnosis), heterogeneous architectures, and sustainable smart environments. She collaborates with Prof. Giuliana Iannaccone on foresight for sustainable built environments and has led EU-funded projects like the SAVE initiative. Publications include over 150 refereed papers on dependability and context-awareness. She holds editorial roles for journals such as IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems. Awards include IEEE Senior Member status and two Cisco University Research Program Fund gifts (2012, 2014). Academic roles include Rector’s delegate for Southeast Asia relations and leadership of Technology Foresight workgroups. She teaches courses on computer science fundamentals and dependable systems, emphasizing problem-solving and programming in Python and C.

Ramadan El Shatshatمشاهده پروفایل

دانشیار

• Power Distribution Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Ramadan El Shatshat is an Associate Professor (Teaching Stream) and Director of the Electric Power Engineering Program at the University of Waterloo's Department of Electrical and Computer Engineering. He holds a PhD from the University of Waterloo (2001) and is a registered Professional Engineer in Ontario. His research focuses on distribution system engineering, smart grids, renewable energy integration, and electric vehicle impact analysis. Dr. El Shatshat has received multiple awards, including the James A. Field Teaching Excellence Award (2016) and the University of Waterloo Outstanding Performance Award (2010, 2017, 2021). He teaches courses like ECE 360 (Power Systems and Smart Grids) and ECE 668 (Distribution System Engineering). Education: PhD in Electrical Engineering, University of Waterloo (2001) MSc in Electrical Engineering, University of Garyounis, Libya (1992) BSc in Electrical Engineering, University of Garyounis, Libya (1984) Research Interests: Smart grids and microgrids Optimization for distribution systems Electric vehicles and renewable energy integration AI-based monitoring techniques Awards: 2021 University of Waterloo Outstanding Performance Award 2018 Marsland Faculty Fellowship 2016 James A. Field Teaching Excellence Award Advising & Grants: Supervised/co-supervised 26 students (undergraduate, master's, doctoral, and postdoctoral) His work spans over 50 peer-reviewed publications and patents in fault detection, voltage control, and EV integration.

Dilum Dissanayakeمشاهده پروفایل

دانشیار

• Transport Planning
• Human Geography
• Climate Change Mitigation
• +۷ مورد دیگر

Dr. Dilum Dissanayake is an Associate Professor in Human Geography and Transportation Planning at the University of Birmingham's School of Geography, Earth and Environmental Sciences. She holds a PhD from Nagoya University, Japan, and has expertise in transport planning, data analysis, and behavioral change to mitigate climate change. Her research integrates computing, data mining, and behavioral sciences with a focus on sustainable mobility, smart infrastructure, and innovative transport solutions. Education: PhD (Transport Planning), Nagoya University, Japan MEng (Infrastructure Planning and Management), Asian Institute of Technology, Thailand BSc (Hons) (Civil Engineering), University of Moratuwa, Sri Lanka Diploma in Programming Research Interests: Travel demand modeling, electric/autonomous vehicles, behavioral change for sustainability, transport policy analysis (e.g., congestion pricing, telecommuting), and developing country transport challenges. She applies methods like discrete choice models, machine learning, and NLP. Awards & Grants: Co-Investigator in CLEETS (UK-Japan £10m project), Principal Investigator in Capitalisation and eHUBS (€392k/€412k EU projects). Notable awards include the 2022 Remarkable Women in Transport Award and Duo-India Fellowship. Advising & Grants: Supervises 6 current PhD students and has guided 10 completed PhDs. Leads Transport Demand Management in CLEETS and Transport Modelling in Capitalisation. Teaches modules like Sustainable Cities and One-Planet Thinking. Labs/Teams: Part of Birmingham's Sustainable Cities research group, leading projects on micro-mobility, EV adoption, and post-pandemic transport trends. Engages in international collaborations via CLEETS and eHUBS.

Sonja Wogrinمشاهده پروفایل

استاد

• Optimization
• Bilevel Programming
• Capacity Expansion Planning
• +۵ مورد دیگر

Sonja Wogrin is a University Professor (Univ.-Prof.) at Graz University of Technology (TU Graz), where she has been heading the Institute for Electricity Economics and Energy Innovation since August 2021. She holds a Dipl.-Ing. in Technical Mathematics from TU Graz (2008), a Master of Science in Computation for Design and Optimization from MIT (2008), and a doctorate in Electricity Systems from Universidad Pontificia Comillas (2013). Her educational background includes: Doctorate in Electricity Systems, Universidad Pontificia de Comillas (June 2013) Dipl.-Ing. in Technical Mathematics, Graz University of Technology (October 2008) Master of Science in Computation for Design and Optimization, MIT (June 2008) Professor Wogrin's research focuses on decision support systems in the energy sector, optimization methodologies, and particularly the problem of generation capacity expansion. Her work spans several key areas including bilevel programming, capacity expansion planning, energy storage systems, and time series aggregation for energy system optimization. She has made significant contributions to understanding how to integrate renewable energy sources into power systems while maintaining economic efficiency and grid stability. Her research often addresses the challenges of decarbonizing electricity systems through advanced mathematical modeling and optimization techniques. Her recent publications demonstrate a strong focus on improving the computational efficiency of energy system models while maintaining accuracy, with particular attention to the integration of renewable energy sources, energy storage systems, and the development of resilient energy communities. She has pioneered work on time series aggregation methods that balance computational tractability with model accuracy, which is crucial for long-term energy planning under uncertainty. Professor Wogrin has received several prestigious awards and fellowships including: 4th EASE Student Award for "Co-Optimisation of energy storage technologies in tactical and strategic planning models" (2019) Beca de movilidad para investigadores "NILS Ciencia y Sostenibilidad" (2015) Beca Erasmus "Personal Docente/Investigador" de formación (2016) Beca Iberdrola de ayuda a la investigación en energía y medio ambiente (2020) She leads multiple significant research projects including EU - NetZero-Opt, RINGs, iKlimET, V2G-QUESTS, and CIDEAL, which focus on optimizing energy systems for net-zero emissions, resilient energy networks, climate and energy system modeling, vehicle-to-grid integration, and industrial decarbonization. Her work has substantial practical implications for energy policy and grid operations in Austria and beyond. Professor Wogrin collaborates extensively with industry partners including Austrian Power Grid AG, KELAG, and Netz Niederösterreich, ensuring her research addresses real-world energy challenges. Professor Wogrin leads the research group at the Institute for Electricity Economics and Energy Innovation, which develops advanced optimization models for energy systems. Her team has created the LEGO (Low-carbon Expansion Generation Optimization) model, an open-source tool for energy system optimization that has gained international recognition. The group's work spans from fundamental optimization methods to practical applications in energy system planning and operation, with a strong emphasis on computational efficiency and model accuracy.

Keiron Robertsمشاهده پروفایل

مدرس ارشد

• Plastic Policy Analysis
• Waste Management
• Energy Systems Management
• +۴ مورد دیگر

Dr. Keiron Roberts is a Senior Lecturer in Sustainability and the Built Environment at the University of Portsmouth, affiliated with the School of Civil Engineering & Surveying within the Faculty of Technology. He also contributes to the Revolution Plastics Institute and the Centre for Environmental and Renewable Energy Solutions. His research focuses on plastic policy analysis, waste management, energy systems, and circular economy principles. Roberts has led projects funded by Innovate UK (e.g., SHAPE UK and SEA CHANGE) aimed at decarbonizing shipping and supporting SMEs in achieving Net Zero. He co-authored policy reports for UNEP, G20, and Defra, including the UN’s first Compass Report on plastic pollution policies. His work includes coordinating global initiatives like the G20 marine plastic litter think piece and analyzing the environmental impact of PPE during the pandemic. Roberts holds a PhD in Civil Engineering from the University of Southampton and has conducted postdoctoral research on wastewater management and biofuel production from marine algae. Education MSci (Hons) Oceanography, University of Southampton (2007–2011) PhD in Civil Engineering (Anaerobic digestion of marine microalgae), University of Southampton (2011–2015) PGCE in Secondary and Tertiary Physics, University of Southampton (2015–2016) Research Interests Roberts’ work spans plastic policy, waste management systems, energy transition, and circular economy applications. He emphasizes actionable solutions, such as developing tools like SWIMS for UK waste infrastructure modeling and advising on PPE litter impacts post-COVID-19. His interdisciplinary approach integrates environmental science, engineering, and policy to address global sustainability challenges. Grants & Awards Recipient of the 2023 Vice Chancellor's Award for Excellence (University of Portsmouth) Principal Investigator on Innovate UK projects (SHAPE UK, SEA CHANGE, Isle of Wight Energy Autonomous Community) Labs & Collaborations Active in the Revolution Plastics Institute and GreenTech South, collaborating with organizations like Southern Water and UN agencies to advance Net Zero goals and plastic policy frameworks.

• Construction Management
• International Construction Business
• Risk Management
• +۵ مورد دیگر

Professor Roger Flanagan is a distinguished academic specializing in construction management with over two decades of research contributions. His work primarily focuses on international construction business, risk management, sustainable building practices, and whole life cost appraisal. Affiliated with the Chartered Institute of Building, London, he has authored numerous technical guides and publications that shape construction industry practices globally. Specializes in international construction business dynamics Expert in risk management and sustainable building practices Author of influential technical guides for the construction industry Research spans construction economics and supply chain management Flanagan's research interests center on the complexities of international construction projects, with particular emphasis on risk management, sustainable building practices, and whole life cost considerations. His work examines how contractors navigate international markets, manage project complexity, and implement sustainable practices. Recent publications address materials procurement in MSMEs, pre-construction planning complexity, and the integration of renewable energy in building projects, reflecting evolving industry challenges. Analysis of his 15 most recent publications reveals a consistent focus on construction management challenges with increasing emphasis on sustainability and international business dynamics. His work spans construction economics, risk management, sustainable building practices, and supply chain management, with particular attention to Korean and Middle Eastern construction markets. The research demonstrates methodological diversity, employing panel threshold regression, system dynamics, and empirical case studies to address complex construction industry problems. Professor Flanagan has made significant contributions through his authored guides for the Chartered Institute of Building, including the Guide to Quality Management in Construction (2021), Site Management and Production Guide (2020), and Code of Quality Management (2019). These practical resources translate academic research into industry applications, demonstrating his commitment to bridging theory and practice in construction management. His collaborative research extends across international boundaries, working with academics from institutions in Asia, Europe, and the Middle East. This global perspective enriches his understanding of diverse construction markets and practices, informing his research on international competitiveness, cross-cultural project management, and global supply chain dynamics. Professor Flanagan's work on construction sector futures, particularly his contributions to Vision 2020 initiatives, demonstrates leadership in anticipating industry trends and challenges. His research on information complexity, system dynamics applications, and decision support systems positions him at the forefront of addressing emerging challenges in digital construction and project management.

Xingpeng Liمشاهده پروفایل

دانشیار

• Power Systems
• Machine Learning
• Renewable Energy Integration
• +۵ مورد دیگر

Dr. Xingpeng Li is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Houston (UH), where he has held this position since 2024, following his tenure as Assistant Professor (2018–2024). His research focuses on smart grid technologies, renewable energy integration, and optimization of power systems. He holds a Ph.D. in Electrical Engineering from Arizona State University (2017) and multiple master’s degrees in Computer Science (Georgia Tech, 2023), Industrial Engineering (ASU, 2016), and Electrical Engineering (Zhejiang University, 2013). His work emphasizes machine learning applications in power systems, including battery degradation modeling, microgrid design, and climate-resilient grid planning. He leads the RPG Lab (https://rpglab.github.io), advancing solutions for offshore renewable energy systems, hydrogen transmission, and grid cybersecurity. His research has been funded by the NSF CAREER Award (2024) and the NAS Gulf Research Program (2023). Education : Ph.D., Electrical Engineering, Arizona State University (2017) M.S., Computer Science, Georgia Institute of Technology (2023) M.S., Industrial Engineering, Arizona State University (2016) M.S., Electrical Engineering, Zhejiang University (2013) B.S., Electrical Engineering, Shandong University (2010) Dr. Li’s recent publications highlight advancements in AI-driven grid optimization, battery lifecycle modeling, and offshore microgrid planning. He has received awards such as the Early-Career Research Follow (NAS Gulf, 2023) and the IEEE Phoenix Section Student Scholarship (2016). Awards : NSF CAREER Award (2024) Early-Career Research Follow, NAS Gulf Research Program (2023) Emerging Leader, Offshore Technology Conference (2023) His teaching includes courses like ECE 6327 (Smart Grid Systems) and ECE 6379 (Power System Operations), bridging theoretical research with practical grid challenges. His lab collaborates on projects like 100% renewable offshore platforms and hydrogen energy transmission systems, addressing climate resilience and decarbonization goals.

• Parallel Computing
• Distributed Computing
• Algorithms
• +۴ مورد دیگر

Ramachandran Vaidyanathan (Vaidy Vaidyanathan) is the Elaine T. and Donald C. Delaune Distinguished Professor in the School of Electrical Engineering and Computer Science at Louisiana State University (LSU). His research focuses on parallel and distributed computing, reconfigurable architectures, interconnection networks, and autonomous robot coordination. Developed the Reconfigurable Multiple Bus Machine (RMBM) model Authored the book Dynamic Reconfiguration: Architectures and Algorithms Holds multiple patents for optical networking and reconfigurable hardware Research Interests : Parallel and distributed algorithms Reconfigurable computing models Autonomous robot coordination Optical interconnection networks Scientific Awards : US Patent 6,332,050 US Patent 6,792,175 US Patent 8,862,854 US Patent 9,257,988 US Patent 10,282,347 Advising and Grants : Supervises students in reconfigurable computing and distributed systems. Collaborates with institutions on NSF-funded projects. Labs : Leads the Reconfigurable Computing Group at LSU.

Ahmed Sherifمشاهده پروفایل

دانشیار

• Cybersecurity
• Cryptography
• Autonomous Vehicles
• +۲ مورد دیگر

Ahmed Sherif is an Associate Professor specializing in cybersecurity and privacy-preserving systems, likely affiliated with the University of Southern Mississippi. He holds a Ph.D. from Tennessee Technological University (2017) and M.S. from Egypt Japan University of Science & Technology (2014). His research focuses on cryptographic solutions for autonomous vehicles, IoT networks, and smart grid security. Research interests span privacy-preserving systems across transportation and critical infrastructure, with emphasis on authentication protocols and hardware security. Teaches courses including Digital Logic, Network Security, and Advanced Security Techniques. Publications show strong focus on privacy engineering in emerging technologies (2021-2025), particularly in vehicular/drone networks and medical AI. No awards listed. Research includes federated learning for medical diagnosis and hardware-accelerated security frameworks.

• Energy Systems
• Power Systems Operations and Planning
• Renewable Energy
• +۷ مورد دیگر

Kory W. Hedman is a Professor at Arizona State University's School of Electrical, Computer and Energy Engineering (ECEE) and serves as Director of the Power Systems Engineering Research Center (PSERC). He has received prestigious honors including the PECASE award and IEEE Fellow recognition. PhD in Operations Research (UC Berkeley, 2010) MS in Operations Research (UC Berkeley, 2008) MS in Electrical Engineering (Iowa State, 2007) MS in Economics (Iowa State, 2006) BS in Electrical Engineering (University of Washington, 2004) BS in Economics (University of Washington, 2004) Professor Hedman's research spans energy systems and mathematical programming, focusing on power system economics, cyber-physical grid security, stochastic optimization, and smart grid technologies. His work integrates machine learning with power systems operations while emphasizing market design and distributed energy resources. Key awards include the PECASE award (2017), IEEE Outstanding Young Engineer Award (2016), and elevation to IEEE Fellow (2025). He has also held leadership roles at ARPA-E (DOE) and maintains an endowed chair at ASU's Fulton Schools of Engineering.

Lukas Graberمشاهده پروفایل

دانشیار

• High Voltage Engineering
• Power Systems
• Superconductivity Applications
• +۴ مورد دیگر

Lukas Graber is an Associate Professor and Sutterfield Family Early Career Professor at Georgia Tech's School of Electrical and Computer Engineering (ECE). His primary affiliations include the Plasma and Dielectrics Laboratory, focusing on high-voltage engineering, superconductivity, and cryogenic systems. He holds a Ph.D. and M.S. from ETH Zurich (2009 and 2002), with postdoctoral and research faculty experience at Florida State University's Center for Advanced Power Systems. His technical expertise spans gas-insulated switchgear, superconducting power cables, and high-speed mechanical switches. Key research areas include dielectric materials for supercritical fluids, fault current limiters, and insulation coordination for power systems. He has authored/co-authored 40+ publications and holds multiple patents in energy-related technologies. Research interests emphasize commercialization of novel energy technologies, with a focus on cryogenic electronics and eco-friendly alternatives to SF 6 . Notable awards include the ETG Innovation Prize (2010) and Electrosuisse Best Paper Award (2009). His work integrates fundamental research with applied engineering solutions for naval, aerospace, and grid systems. Labs/Teams: Director of the Georgia Tech Plasma and Dielectrics Laboratory, collaborating on projects like the TESLA Breaker and cryogenic link systems for aircraft propulsion. Active in IEEE and the Cryogenics Society of America.

Ayman El-Hagمشاهده پروفایل

دانشیار

• Electrical Engineering
• High Voltage Engineering
• Power Systems
• +۵ مورد دیگر

Ayman El-Hag is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He is affiliated with the Outdoor Insulation and Condition Monitoring Research Group, focusing on advancing technologies for high-voltage insulation systems and smart grid infrastructure. His work integrates machine learning, signal processing, and materials science to improve condition monitoring and diagnostic methods for power equipment. Research interests include partial discharge detection using UHF and acoustic sensors, machine learning applications for defect classification in outdoor insulators, and the development of non-invasive sensing techniques for real-time monitoring. He also explores energy management systems leveraging fuzzy logic and smart meter data analysis for residential and grid-level applications. Recent publications highlight advancements in capsule networks for insulator discharge prediction, deep learning-based hydrophobicity classification, and novel antenna designs for partial discharge localization. His work emphasizes practical solutions for power system reliability and environmental resilience of insulation materials under extreme conditions. El-Hag is a Full-time faculty member and holds Adjunct faculty status, contributing to interdisciplinary research projects. He actively engages in promoting condition monitoring methodologies through educational initiatives and industry partnerships.

Andrea Scottمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Machine Learning
• Remote Sensing
• +۸ مورد دیگر

Andrea Scott is an Associate Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, Faculty of Engineering. Her research focuses on fluid dynamics, remote sensing, and machine learning applications in environmental systems. She holds a Doctorate in Mechanical Engineering from the University of Waterloo (2008) and has taught courses such as ME 351 (Fluid Mechanics) and SYDE 621 (Numerical Methods). Notable awards include the 2022 Outstanding Performance Award and 2021 Distinguished Performance Award from the University of Waterloo. Research interests span turbulence modeling, data-driven approaches, and physically inspired neural networks. Her work includes developing algorithms for sea ice concentration estimation, SAR imagery analysis, and fluid flow simulations. She collaborates with groups like the Vision and Image Processing Lab and the Remote Sensing of Environmental Change group. Current projects involve small object detection in remote sensing and graph neural networks for unstructured grid problems. Education: PhD, Mechanical Engineering, University of Waterloo, Canada (2008) MASc, Mechanical Engineering, McMaster University, Canada (2001) BASc, Mechanical Engineering, University of Waterloo, Canada (1999) Teaching responsibilities include undergraduate and graduate courses in fluid mechanics and systems engineering. She actively mentors students through the IEEE GRSS Women-to-Women Mentorship program and serves as an Associate Editor for the AGU Journal of Machine Learning and Computation. Her lab oversees over 20 current and past graduate students, focusing on topics like space debris tracking, AI-driven environmental modeling, and sea ice dynamics. Research outputs include over 40 publications in journals such as Physical Review Fluids and IEEE Transactions on Geoscience and Remote Sensing .

Ceyhun Eksinمشاهده پروفایل

دانشیار

• Networked Multi-Agent Systems
• Game Theory
• Distributed Optimization
• +۵ مورد دیگر

Ceyhun Eksin is an Associate Professor and the Corrie and Jim Furber '64 Faculty Fellow at the Texas A&M University Industrial & Systems Engineering Department. He is also affiliated with the Electrical & Computer Engineering Department. His research focuses on networked multi-agent systems, integrating game theory, distributed optimization, and control theory to address challenges in autonomous systems, energy systems, and epidemiological modeling. Education: Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania (2015), followed by a postdoctoral fellowship at Georgia Institute of Technology (hosted by Professors Jeff S. Shamma and Joshua S. Weitz). Research interests emphasize the design and analysis of complex systems, including distributed algorithms for autonomous teams, epidemic dynamics influenced by behavioral changes, and optimization in smart grids. His work bridges theoretical foundations with practical applications in cyber-physical systems and social networks. Notable awards include the NSF CAREER Award (2023) and TAMIDS Career Initiation Fellowship (2023). His research has been published in top journals like Proceedings of the National Academy of Sciences and IEEE Transactions . Lab activities center on the NetMaS (Networked Multiagent Systems) Lab, focusing on theoretical and algorithmic innovations for multi-agent systems. Collaborations span academia and industry, addressing real-world challenges in energy, healthcare, and robotics.