جست‌وجوی استاد و پژوهشگر

Soroosh Sorooshianمشاهده پروفایل

استاد

• Hydrometeorology
• Water Resources Systems
• Climate Studies
• +۳ مورد دیگر

Soroosh Sorooshian is a Professor at the Samueli School of Engineering , University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science . He serves as Founding Director of the Center for Hydrometeorology and Remote Sensing (CHRS) and holds the Samueli Endowed Chair in Engineering . His expertise spans hydrometeorology, climate-water interactions, remote sensing applications, and water resource management in arid regions. Education : Ph.D. in Engineering (1978), Engineer Degree in Systems Engineering (1977), M.S. in Operations Research (1973), B.S. in Mechanical Engineering (1971). Leadership & Affiliations : Member of US National Academy of Engineering , International Academy of Astronautics , and multiple scientific bodies (AAAS, AGU, AMS, IWRA). Former advisor to NASA, NOAA, and UNESCO initiatives. Recent research focuses on machine learning integration for hydrological modeling , satellite precipitation product development , and climate change impact assessments . Key trends include deep learning for bias correction , multi-sensor precipitation fusion , and atmospheric river hydrology in California. Awards include the AGU Horton Medal , NASA Distinguished Public Service Medal , and Prince Sultan Bin Abdulaziz International Water Prize . He consults on urban flooding and surface hydrology challenges. Scientific Honors : Chinese Academy of Sciences Einstein Professorship (2014) UNESCO Great Man-Made River Water Prize (2007) AMS Walter Orr Roberts Lecturer (2009) Multiple Distinguished Educator Awards Advisory Roles : Served on committees for NASA, DOE, and World Climate Research Programme's Hydrology Commission.

• Ocean Renewable Energy
• Robotics
• Biomechanics
• +۲ مورد دیگر

Dr. Boyin Ding is an Associate Professor at the University of Adelaide , serving as Academic Director at Haide College and researcher in the Mechanical Engineering department within the Faculty of Sciences, Engineering and Technology. He leads the Wave Energy Research initiative established in 2014, while also contributing to Robotics and Biomechanics through his work with the Flinders Medical Device Research Institute. Research Areas: Ocean Wave Energy Harvesting Control Systems for Renewable Energy 6DOF Robotic Testing Spine Biomechanics Transnational Education Programs Key Collaborations: Australia-China Joint Research Centre for Offshore Wind & Wave Energy Acoustics, Vibration and Control Research Group Scientific Awards: Australian Endeavour Fellowship Malcolm Kinnaird Engineering Excellence Award (2012) His recent publications focus on hybrid offshore energy systems, nonlinear hydrodynamics in wave energy converters, and biomechanical testing technologies. He has developed control algorithms for floating offshore wind-wave systems and pioneered 6DOF robotic platforms for medical applications. As an eligible PhD supervisor, he actively collaborates with global industries and academic institutions.

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

Le-Nam Tranمشاهده پروفایل

پژوهشگر

• Wireless Communications
• 5G/6G Network Optimization
• Signal Processing
• +۴ مورد دیگر

Dr. Le-Nam Tran is a researcher at the UCD School of Electrical & Electronic Engineering , University College Dublin. His work focuses on optimizing the last hop of 5G/6G wireless networks through mathematical programming, with emphasis on energy efficiency, interference management, and security against eavesdropping. Develops low-cost, low-complexity transmission techniques Projects supported by Science Foundation Ireland Career Development Award Author of over 80 peer-reviewed publications Research Keywords: Wireless Communications Network Security Signal Processing Energy-Efficient Systems Beamforming Optimization Interference Mitigation

• Power Electronics Packaging
• High-Density Integration
• Medium-Voltage Power Modules
• +۳ مورد دیگر

Dr. Christina DiMarino is an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and a faculty member in the Center for Power Electronics Systems (CPES). She earned her Ph.D. (2018) and M.S. (2014) in Electrical Engineering from Virginia Tech, and her B.S. from James Madison University (2012). She is based at the Virginia Tech Research Center (VTRC) in Arlington, VA, where she established and manages two CPES laboratories. Her research focuses on power electronics packaging, high-density integration, medium-voltage power modules, and wide-bandgap semiconductors. She holds leadership roles in IEEE PELS, including Vice Chair of Technical Committee 2 and Member-at-Large of the Administrative Committee, and serves on the PCIM Europe Advisory Board. Notable awards include the 2024 IEEE PELS Richard M. Bass Outstanding Young Engineer Award and the 2022 Outstanding New Assistant Professor Award. Her work emphasizes interdisciplinary collaboration and industry partnerships through CPES, addressing challenges in high-power systems, thermal management, and electromagnetic compatibility. Education: Ph.D. & M.S. in Electrical Engineering (Virginia Tech), B.S. in Electrical Engineering (James Madison University) Key Roles: IEEE PELS Leadership, PCIM Europe Advisory Board Member, CPES Lab Director Research Themes: High-Voltage Packaging, SiC Modules, Power Electronics Integration

Robert J Brunnerمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Statistical Analysis
• +۳ مورد دیگر

Robert J. Brunner is a Professor at the University of Illinois with primary appointments in the Gies College of Business (Department of Accountancy) and the School of Information Sciences. He holds affiliate roles across multiple departments including Astronomy, Computer Science, and Statistics, as well as research centers like the Beckman Institute and NCSA. His research focuses on applying statistical/machine learning to solve complex problems in astronomy, finance, and large-scale data science. Education: Ph.D. in Astrophysics from Johns Hopkins University (advisor: Alex Szalay). Postdoctoral work at Caltech on the Digital Sky project. Research Interests: Machine learning applications, computational techniques, data management/visualization, and observational cosmology. His work bridges astrophysical data analysis with modern data science methodologies. Recent work includes developing spatio-temporal neural networks for forecasting, evaluating AI-driven financial analysis tools, and planning for the Vera C. Rubin Observatory. He collaborates internationally on large-scale surveys like the Dark Energy Survey and SDSS. Labs/Teams: Leads data science initiatives at the University of Illinois Research Park. Active in interdisciplinary teams at NCSA and Beckman Institute focusing on algorithm optimization and data-intensive research.

• Transportation Systems Analysis
• Traffic Engineering
• Sustainable Transportation
• +۳ مورد دیگر

Yu Nie is a Professor in the Department of Civil and Environmental Engineering at Northwestern University, affiliated with the NU-TREND research group within the McCormick School of Engineering. His work focuses on optimizing transportation networks, integrating human behavior, infrastructure design, and network topology to enhance mobility, reliability, and sustainability. He holds a Ph.D. from the University of California, Davis, an M.S. from the National University of Singapore, and a B.S. (cum laude) from Tsinghua University. His research interests span interdisciplinary approaches combining optimization, network science, traffic flow theory, economics, and statistics. Key areas include congestion pricing strategies, ride-hailing market dynamics, autonomous vehicle integration, and transit system design. He has contributed to studies on dockless bike-sharing systems, ethics-aware transit design, and traffic management in autonomous vehicle zones. Nie’s recent publications (2024–2025) highlight advancements in modular autonomous vehicle systems, co-modal freight solutions, and policy frameworks for sustainable urban mobility. His work often bridges theoretical insights with practical applications, addressing challenges like EV charging chaos and ride-pooling impacts. He received the 2021 Transportation Science Meritorious Service Award for his editorial contributions. His research also explores freight exchange platforms, taxi market resilience during pandemics, and the role of route choice models in transit design. Labs/Teams: Yu Nie is associated with the NU-TREND research group, specializing in innovative transportation solutions through interdisciplinary collaboration.

• Climate and Energy Finance
• Corporate Risk Management
• International Economics/Finance
• +۳ مورد دیگر

Dr. Bernard Njindan Iyke is a Lecturer in Finance at La Trobe University, specializing in climate and energy finance, corporate risk management, and international economics/finance. He holds an ORCID identifier (0000-0002-9217-1856) and has extensive experience as a consultant for central banks and international organizations. His recent research includes leading the Australian Government-funded 'Quantum Enhanced Optimisation for Energy Efficient Data Centres' project. He actively supervises postgraduate research students focusing on Sustainable Development Goals 13 (Climate Action) and 7 (Affordable and Clean Energy). Dr. Iyke's research interests span climate finance, energy security, geopolitical risk analysis, and macroeconomic policy interactions. His work frequently explores emerging markets, particularly in Asia and Africa, with notable contributions on financial stability, currency dynamics, and pandemic economic impacts. He has presented at institutions like the University of Oxford and the Asian Development Bank Institute. His recent publications analyze topics such as financial cycle synchronization in emerging economies, energy investment under climate risks, and the interplay between monetary policy and asset prices in ASEAN countries. While no explicit awards are listed, his high citation counts (e.g., over 90 citations for his 2024 energy security paper) reflect significant academic impact. He teaches courses on commercial lending and bank strategy, integrating real-world financial technology and regulatory challenges. Dr. Iyke has secured government grants totaling millions AUD, notably the 2024 Quantum Optimisation project. He advises on policy matters related to energy transition and financial resilience, maintaining active collaboration with central banks and multilateral institutions. His research agenda emphasizes bridging theoretical economics with practical policy solutions for sustainable development.

• Wind Energy Technology
• Lidar-Assisted Control
• Floating Offshore Wind Turbines
• +۳ مورد دیگر

David Schlipf is a Professor at the Fachbereich Energy and Life Science, Hochschule Flensburg, leading the Wind Energy Technology Institute. His expertise spans lidar-assisted control systems, floating offshore wind turbines, and aeroelastic modeling. He actively collaborates with international initiatives like IEA Wind Task 32 and contributes to projects such as the 'Lidar Knowledge Europe (LIKE)' network. His research focuses on enhancing wind turbine efficiency through advanced control strategies and sensor technology integration. He has been instrumental in developing the TorqTwin open-source framework for multibody modeling and has published extensively on topics including wind field reconstruction, load mitigation, and floating platform dynamics. His work bridges academic research with industrial applications, emphasizing practical solutions for offshore wind energy challenges. Notable projects include the evaluation of lidar-assisted control performance, optimization of floating turbine designs, and contributions to wind energy education's role in climate resilience. His research outputs span over 200 publications, highlighting his global impact in advancing renewable energy systems.

David Hutchinsonمشاهده پروفایل

استاد

• Decarbonisation
• Sustainable Energy
• Cleantech Innovation
• +۳ مورد دیگر

Professor David Hutchinson is a faculty member at the University of Portsmouth within the Faculty of Technology, holding positions as the Founding Director of the Centre for Environmental and Renewable Energy Solutions (CERES) and Director of the International Cleantech Network and Greentech South. His research focuses on decarbonisation, sustainable energy, and cleantech innovation, intersecting with smart technologies, energy management, and policy-making to address global environmental challenges. He leads multidisciplinary teams and has managed over £15 million in externally funded projects, driving impactful research in sustainable energy technologies. His work extends beyond academia, supporting cleantech development through over £65 million in inward investment and creating over 790 jobs. Key research outputs include studies on PVT systems, flood risk visualization, and sustainable drainage systems. Hutchinson is actively involved in policy advocacy and has published extensively in journals like Nature Sustainability and Energies. He is open to media inquiries and supervises PhD students in Environmental Technologies, clean growth, and low-carbon economy transitions. Notable contributions include advancing solar energy feasibility frameworks, optimizing phase change material applications in photovoltaic systems, and exploring collaborative strategies in construction projects across emerging economies. His interdisciplinary approach bridges academia, industry, and policy to foster sustainable economic growth and environmental solutions.

Jennifer Baumanمشاهده پروفایل

دانشیار

• Power Electronics
• Electric Vehicle Design
• Renewable Energy Integration
• +۳ مورد دیگر

Dr. Jennifer Bauman is an Associate Professor in the Department of Electrical & Computer Engineering at McMaster University. Her research focuses on the electrification of transportation, power electronic converters, vehicle design and control, and smart-grid integration of electric vehicles (EVs). She holds a B.Sc. and Ph.D. from the University of Waterloo and has 8 years of industry experience as Director of Research at CrossChasm Technologies. Her work spans three levels: low-level power electronics optimization, mid-level vehicle system design, and high-level EV-grid interaction analysis. Education: B.A.Sc. and Ph.D. in Engineering from the University of Waterloo (2004, 2008). Professional registration: P.Eng. (Professional Engineer). Teaching: Instructors for ECE 724/MECHENG 721 on Modeling, Control, and Design of Electrified Vehicles. Research Interests: Development of efficient power electronic converters (e.g., using wide-bandgap devices), optimization of hybrid/electric powertrains, and analyzing EV impacts on smart grids. Notable contributions include a 65kW boost converter for fuel cell vehicles and studies on solar-charged EV architectures. Grants & Awards: Received $1.9M in CFI infrastructure funding (2017) as part of a team. Lab: Located in ITB A220, focusing on advanced vehicle electrification and grid-integrated systems.

Shahin Sirouspourمشاهده پروفایل

استاد

• Robotics
• Autonomous Systems
• Control Systems
• +۷ مورد دیگر

Shahin Sirouspour is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on robotics, autonomous systems, control systems, and optimization, with applications in aerial robotics, teleoperation, haptics, medical robotics, and smart energy grids. He is affiliated with the Telerobotics, Haptics and Computational Vision Laboratory and teaches courses such as Non-linear Control Systems and Electrical Systems Integration Project. He holds a Ph.D. from the University of British Columbia and has supervised numerous graduate students. His lab includes advanced equipment like multi-axis robotic manipulators, haptic interfaces, and real-time computing systems. Education: B.Sc. and M.Sc. from Sharif University of Technology (Iran), Ph.D. from University of British Columbia (Canada). Current roles include accepting graduate students and leading research clusters in Digital & Smart Systems, Energy, and Transportation. Awards include the McMaster President's Award for Excellence in Graduate Supervision. His work bridges theoretical control systems with practical applications in healthcare, energy, and autonomous systems. Research highlights include developing control strategies for multi-agent robotic systems, smart grid optimization, and medical robotics. Collaborations with institutions like MacAUTO and industry partners (e.g., MDA Space Missions) enhance translational impact. His lab supports projects on asymmetric teleoperation, deformable tissue simulation, and microgrid energy management.

Wael El-Dakhakhniمشاهده پروفایل

استاد

• Resilient Infrastructure Systems
• Systemic Risk Management
• Data-Driven Modeling
• +۴ مورد دیگر

Dr. Wael El-Dakhakhni is a Professor of Civil Engineering at McMaster University, holding the Martini, Mascarin and George Endowed Chair in Masonry Design. He serves as Director of the INTERFACE Institute and NSERC CaNRisk-CREATE program, focusing on systemic risk and resilience in complex systems. His research spans interdependent networks, data-driven modeling, and infrastructure resilience under climate and disaster scenarios. He leads the INViSiONLab, advancing AI-driven solutions for urban resilience through digital twins. El-Dakhakhni is a Fellow of the American Society of Civil Engineers and a Member of the Royal Society of Canada, with notable awards including the NSERC Discovery Accelerator Supplement (twice), Ontario Early Researcher Award, and John B. Scalzi Research Award. His work bridges academia and industry, contributing to codes, standards, and real-world applications in structural engineering and disaster response. Education: BSc (Ain Shams University, Egypt), MSc and PhD (Drexel University, USA). Research Interests: Complex systems simulation, systemic risk quantification, resilient infrastructure design, AI applications in urban planning, and climate resilience frameworks. His work integrates advanced machine learning, network theory, and physics-informed models to address multi-hazard challenges in energy, transportation, and urban systems. Key Projects: CITYDNA, McMasterDNA, and infrastructure digital twins for pandemic and climate crisis decision-support systems. He collaborates with governments and organizations to enhance infrastructure resilience through predictive analytics and adaptive strategies. Labs/Teams: INViSiONLab, McMaster INTERFACE Institute, NSERC-CaNRisk-CREATE program, and the Centre for Effective Design of Structures. His research has informed policy and standards in North America, emphasizing interdisciplinary solutions for systemic risk mitigation.

Nadjib BRAHIMIمشاهده پروفایل

دانشیار

• Supply Chain Management
• Production Planning and Scheduling
• Operations Research
• +۴ مورد دیگر

Nadjib Brahimi is an Associate Professor at Rennes School of Business, specializing in Supply Chain Management and Operations Research. He holds a PhD in Production and Logistics Systems from Université de Nantes and has extensive academic experience, including roles as Academic Head of the Supply Chain Management & Information Systems department (2019–2020) and Programme Manager of the MSc in Data and Business Analytics. His expertise spans Production Planning, Supply Chain Optimization, and Reconfigurable Manufacturing Systems. Education: PhD in Production and Logistics Systems, Université de Nantes, 2004 M.Sc. in Automatic Control and Applied Computing, Ecole Centrale de Nantes, 2001 Engineering Degree in Electronics and Electrical Engineering, National Institute of Electronics and Electrical Engineering, Boumerdes, Algeria, 1999 Research Focus: His work emphasizes optimization of production systems, reconfigurable manufacturing, and sustainable supply chains. Key areas include task reassignment in assembly lines, biomass supply chain design, and disruption resilience strategies. Key Contributions: Over 40 peer-reviewed articles in journals like International Journal of Production Economics and European Journal of Operational Research . Developed robust optimization models for supplier selection and production routing. Advocated for circular economy principles in hybrid manufacturing systems. Labs/Teams: He collaborates with research groups on reconfigurable manufacturing systems and bioenergy supply chain design, contributing to projects in France, UAE, and Algeria.

Soufiene Djahelمشاهده پروفایل

استاد

• Connected and Autonomous Vehicles (CAVs)
• Unmanned Aerial Vehicles (UAVs)
• Cyber Security
• +۷ مورد دیگر

Soufiene Djahel is a Professor at the Centre for Future Transport and Cities (CFTC) at Coventry University, UK. His research focuses on connected and autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), cyber security, and smart cities. He holds a PhD in Secure Routing and Medium Access Protocols from Université des Sciences et Technologies de Lille (2010), and has held academic positions including Senior Lecturer at the University of Huddersfield and Manchester Metropolitan University. His research interests include CAV coordination protocols, cyber-physical security solutions, and intelligent transportation systems. Djahel leads projects such as the £1.2M AeroPharma Logistics initiative and has secured funding from the Newton Fund and JSPS. He is a recipient of the 2021 JSPS Invitational Fellowship and has published extensively in IEEE journals and conferences. Current projects explore UAVs-as-a-service, digital twins for CAVs, and B5G/6G for smart infrastructure. He advises PhD students on topics like AI-based threat mitigation and transport electrification. Djahel also serves as an external examiner and editorial board member for journals like IEEE Transactions on Intelligent Transportation Systems.