جست‌وجوی استاد و پژوهشگر

Seyed Mojtaba Hoseyniمشاهده پروفایل

مدرس

• Process Safety
• Hydrogen Safety
• Risk Assessment
• +۶ مورد دیگر

Dr. Seyed Mojtaba Hoseyni is a Lecturer in Process Safety and Loss Prevention at the School of Chemical, Materials and Biological Engineering, University of Sheffield. Previously a Postdoctoral Research Associate at the same institution (2022-2024), he holds a PhD in Energy Engineering from Politecnico di Milano (2021). His research focuses on enhancing system resilience, risk assessment, and decision-making under uncertainty in engineering systems, particularly for decarbonization applications. Royal Academy of Engineering Global Talent (Exceptional Promise) in Chemical and Process Engineering His work spans hydrogen safety, climate change risk, nuclear engineering safety, and predictive maintenance. Recent publications emphasize integrating resilience metrics into HAZOP analysis and optimizing sensor placement for risk-informed decision-making. Teaching activities include the Hazards and Protections module (CPE61020). Specializes in RAMS (Reliability, Availability, Maintainability, and Safety) analysis Develops safety frameworks for hydrogen energy systems Applies advanced computational techniques to nuclear and industrial safety

Vikram Iyerمشاهده پروفایل

استادیار

• Robotics
• Ubiquitous Computing
• Sensing & Embedded Systems
• +۷ مورد دیگر

Vikram Iyer is an Assistant Professor at the Paul G. Allen School of Computer Science and Engineering and holds an Adjunct Appointment in Mechanical Engineering at the University of Washington. He co-directs the CS for Environment Initiative , focusing on interdisciplinary solutions that bridge computing, biology, and physical systems for environmental sustainability. Education : Ph.D. in Electrical & Computer Engineering (University of Washington), B.S. in Electrical Engineering and Computer Sciences (UC Berkeley) Research Interests revolve around bio-inspired wireless systems , environmentally sustainable electronics , and miniaturized autonomous robotics . His work includes: Biodegradable circuit boards Battery-free wireless sensors Insect-scale vision systems Wind-dispersed environmental monitors AI tools for sustainable design Article Trends highlight contributions to green hardware , energy-autonomous robotics , and environmental sensing networks , often integrating machine learning with physical world interaction . Awards include: NSF CAREER Award SIGMOBILE Dissertation Award Marconi Society Paul Baran Young Scholar Best Paper Awards (SIGCOMM 2016, Sensys 2018) Google/Amazon Research Awards Students advised include Kyle Johnson (NSF Fellow), Vicente Arroyos (GEM Fellow), and Qiuyue Xue (co-advised with Shwetak Patel). His lab collaborates with the Networks & Mobile Systems Lab and Urban Innovation Initiative .

Zukui Liمشاهده پروفایل

استاد

• Mathematical Optimization
• Machine Learning
• Process Systems Engineering
• +۴ مورد دیگر

Zukui Li is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering, where he leads a research group focused on mathematical optimization, machine learning, and process systems engineering. His work spans oil sands extraction, steel production, biomedical applications, and advanced optimization methods. Education: Ph.D. in Chemical Engineering, Rutgers University (2010) M.Sc. in Control Theory and Control Engineering, University of Science and Technology of China (2005) B.Sc. in Automatic Control, University of Science and Technology of China (2002) Postdoctoral Training: Princeton University (2010-2012) Research Focus: Dr. Li's research integrates mathematical optimization and machine learning for complex process systems. His primary areas include: Advanced optimization techniques (robust, stochastic, and distributionally robust optimization) Machine learning applications in process monitoring and biomedical systems Industrial applications in energy, manufacturing, and resource extraction Specific innovations include physics-informed ML for anemia treatment, adaptive optimization for steel production, and distributionally robust methods for uncertainty management. Publication Trends (2019-2023): Recent articles demonstrate a strong focus on uncertainty-aware optimization methods, with increasing integration of machine learning techniques. Dominant themes include distributionally robust optimization, adaptive decision-making under uncertainty, neural network approximations for complex constraints, and applications in industrial process control and biomedical systems. Theoretical advancements are consistently coupled with practical implementations in energy and manufacturing sectors. Research Group: Leads an active team developing optimization frameworks and machine learning solutions for process engineering challenges. Group website: Dr. Zukui Li's Research Group

• 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

• Food Engineering
• Thermal Engineering
• Biophysics
• +۳ مورد دیگر

Thijs Defraeye is a Senior Scientist at Empa (Swiss Federal Laboratories for Materials Science and Technology) and Adjunct Professor at Dalhousie University. He holds a PhD in Building Physics from KU Leuven (2011) and a Master's in Civil Engineering (2006). His work focuses on optimizing food supply chains through multiphysics simulations and digital twins, addressing challenges in refrigerated transport, postharvest quality preservation, and energy-efficient food processing. He leads the SimBioSys group, developing solutions for perishable goods logistics and electrohydrodynamic technologies. Research interests include: Biophysics of food systems Digital twin applications in agriculture Electrohydrodynamic drying Thermal management in cold chains Sustainable food technologies Recent work emphasizes reducing food loss through physics-based modeling of refrigerated containers, ventilated packaging optimization, and scalable evaporative cooling systems. His studies bridge engineering principles with biological processes, aiming to enhance global food security and environmental sustainability.

Charlotte Williamsمشاهده پروفایل

استاد

• Sustainable Polymer Chemistry
• Catalyst Development
• Renewable Resources Utilization
• +۴ مورد دیگر

Professor Charlotte Williams is a leading academic in sustainable materials science at the University of Oxford. Her research focuses on developing catalysts to transform renewable resources and CO₂ into polymers, aiming to replace petrochemicals in scalable materials production. She collaborates with Unilever on the Clean Future initiative, pioneering recyclable and biodegradable polymers for consumer products. Her work was recognized with the 2021 Unilever Clean Future Supplier Brilliance Award, jointly awarded with Professors Rosseinsky and Cooper. Williams’ research spans heterodinuclear catalyst design, ring-opening copolymerization, and chemical recycling of polymers. She leads a multidisciplinary team including scientists, engineers, and policy experts to decarbonize chemical supply chains, contributing to the UK’s net-zero goals. Key collaborations include the EPSRC Prosperity Partnership with the Universities of Liverpool and Oxford, focusing on low-carbon laundry detergent materials. Education: Not explicitly detailed in text. Grants: EPSRC Prosperity Partnership (2021–2026), Unilever-funded projects. Labs/Teams: Collaborations with Liverpool University and industry partners like Unilever. Future Work: Expanding applications of CO₂-derived polymers in consumer goods and advancing recyclable materials. Her publications emphasize catalyst innovation, sustainable polymer synthesis, and materials lifecycle analysis, reflecting her commitment to bridging academic research with industrial sustainability challenges.

Michael Lewisمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Management
• Project Management
• +۵ مورد دیگر

Professor Michael Lewis holds the rank of Professor at the University of Bath’s School of Management, Department of Information, Decisions & Operations. His academic career began at the University of Cambridge (PhD, 1995), followed by roles at Warwick Business School (1995–2004) and visiting positions at Harvard Business School and Georgetown University. His research focuses on operations strategy, complex business relationships (including PFI/PPP contracts), and efficiency in public/private service sectors. He co-authored the influential textbook Operations Strategy and leads initiatives like the Cabinet Office/IPA Project Excellence Initiative and Cornell’s Healthy Futures program. His current projects include UKRI’s Secure & Resilient World Hub and green transition research. He advises government on industrial measurement and contributes to policy frameworks through roles like the Chartered Management Institute Advisory Council. Education: PhD in Competence Analysis and Strategy Process from University of Cambridge (1995). Research interests span operations management, supply chain governance, project scale dynamics, and sustainable systems. Recent work examines drone adoption methodologies, conflict resolution in supply chains, and post-crisis trauma recovery in uniformed services. He has supervised 9 students and holds grants totaling £multi-million across 13 projects, emphasizing governance, healthcare innovation, and project delivery excellence. Key affiliations include the Centre for Sustainable Chemical Technologies, Institute of Sustainability & Climate Change, and Institute for Digital Security & Behaviour. His work aligns with UN SDGs related to industry, innovation, and infrastructure. Professional activities include policy fellowships and participation in global expert groups shaping industrial and project management practices.

Ed Pickeringمشاهده پروفایل

مدرس ارشد

• Metallurgy
• Materials Science
• Nuclear Engineering
• +۹ مورد دیگر

Ed Pickering is a Senior Lecturer in Metallurgy and Materials Engineering at the University of Manchester. He has held roles since 2015, advancing to Reader in 2023. His affiliations include the Henry Royce Institute (Research Area Lead for Advanced Metals Processing), the Advanced Metallics System CDT and Fusion CDT Management Boards, and industrial technical advisory panels. Ed’s work bridges academic and industrial collaboration with Rolls-Royce, UKAEA, Airbus, EDF, and Sheffield Forgemasters. Ed completed his undergraduate studies (2011) and PhD (2014) in Materials Science at the University of Cambridge, followed by a Research Associate role in Cambridge’s Rolls-Royce UTC. His academic trajectory includes: Senior Lecturer (2019–present) Reader (2023–present) Ed’s research focuses on phase transformations, microstructural characterization, and alloy development for nuclear (fission/fusion) and aerospace applications. Key themes include optimizing processing routes to enhance material properties while minimizing waste and environmental impact. His studies frequently address steel, high-entropy alloys, and novel refractory alloys, emphasizing their service performance under extreme conditions. His scientific contributions span structural integrity assessment of welded joints, machine learning applications in metallurgy, and material flow uncertainties in forging. He has also advanced heat treatment optimization for reactor steels and explored cobalt-free hardfacing alloys. Frank Fitzgerald Medal (2017) Grunfeld Memorial Medal (2021) In advising and grants, Ed leads the Materials Performance Centre (MPC) and co-leads the NEWAM project on wire-additive manufacturing. He supervises research across these initiatives and collaborates with over 30 PGR students in interdisciplinary teams. His work also involves managing technical facilities like the Advanced Metal Processing platform. Ed’s laboratory affiliations include the MPC and WAAM-based Engineering and Process Metallurgy groups, where he explores sustainable materials solutions for energy and aerospace industries.

• Tribology
• Mechanical Engineering
• Materials Science
• +۷ مورد دیگر

Dr Amir Kadiric is a Reader in Mechanical Engineering at Imperial College London's Faculty of Engineering, leading the SKF University Technology Centre for Tribology. He holds a MEng (Mechanical Engineering) and PhD (Tribology) from Imperial College (2005). Previously, he worked at SKF's Engineering and Research Centre in the Netherlands, focusing on rolling bearing research. Education: MEng in Mechanical Engineering (Imperial College), PhD in Tribology (Imperial College, 2005) His research emphasizes damage mechanisms in machine elements—such as rolling contact fatigue (micropitting, pitting), scuffing, and fretting—as well as reliability/efficiency of electric vehicle transmissions and condition monitoring of tribological systems. He collaborates with industries to advance applications in wind turbines, geared turbofan engines, and EV drivetrains. His work integrates experimental and computational methods, including novel techniques for in-situ lubricant film measurement and tribofilm analysis. He leads the Imperial-Industry collaboration through the SKF UTC for Tribology, advancing fundamental and applied tribology research. Dr Kadiric’s lab focuses on surface coatings, lubricant formulation, and advanced material characterization to mitigate failure modes in dynamic mechanical systems. His contributions bridge academic and industrial challenges in sustainable energy systems and high-performance engineering components.

Peyman Servatiمشاهده پروفایل

استاد

• Flexible Electronics
• Photovoltaic Devices
• Wearable Technology
• +۳ مورد دیگر

Peyman Servati is a Professor in the Department of Electrical & Computer Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He leads the Flexible Electronics and Energy Lab (FEEL) and the Centre for Flexible Electronics and Textiles (CFET), and is part of the Clean Energy Research Centre (CERC) and Microsystems and Nanotechnology (MiNa) Group. His research focuses on low-cost flexible solar cells, wearable technology, nanomaterials, and energy systems. Education: BASc (University of Tehran, 1998), MASc and PhD (University of Waterloo, 2000 and 2004). Pre-UBC roles included Research Associate at the University of Cambridge (2005–2011) and Senior Research Scientist at Ignis Innovation Inc. Research interests include smart textiles, flexible electronics, nanocomposites, and renewable energy applications. He has over 80 peer-reviewed publications, 4 patents, and 10 patent applications. Awards include the 2006 NSERC Canada-UK Millennium Award and 2005 NSERC Doctoral Prize. Advising highlights include supervising numerous PhD and MASc students in areas like wearable sensors, energy storage, and biomedical applications. Key labs include FEEL and CFET, focusing on textile-based electronics and sustainable energy solutions.

Mehdi Asheghiمشاهده پروفایل

استاد مدعو

• Thermal Engineering
• Electronics Cooling
• Heat Transfer
• +۳ مورد دیگر

Mehdi Asheghi is an Adjunct Professor at Stanford University specializing in advanced thermal management solutions. His research focuses on heat transfer optimization, electronics cooling, and energy-efficient systems using cutting-edge materials science and micro/nanofabrication techniques. His work spans high-heat-flux cooling, phase-change materials, and thermal interface technologies, with applications in power electronics, integrated circuits, and sustainable energy systems. Innovations include microchannel coolers, copper nanowire composites, and porous thermal structures. With publications addressing thermal challenges from chip-scale to industrial systems, his research advances reliability and performance in electronic devices and energy infrastructure.

Luis Nunes Vicenteمشاهده پروفایل

استاد

• Continuous Optimization
• Computational Science and Engineering
• Machine Learning
• +۴ مورد دیگر

Luis Nunes Vicente is the Timothy J. Wilmott '80 Endowed Faculty Professor and Chair of Lehigh University's Department of Industrial and Systems Engineering since August 2018. He previously served as a faculty member at the University of Coimbra's Department of Mathematics. His research focuses on Continuous Optimization, Computational Science and Engineering, and Machine Learning/Data Science. Education: Ph.D. in Applied Mathematics (Rice University, 1996), M.A. in Applied Mathematics (Rice University, 1994), B.S. in Mathematics and Operations Research (University of Coimbra, 1990). Honors include the Lagrange Prize (2015), SIAM Fellowship (2024), and Fulbright Scholarship (1996). He co-authored the influential book Introduction to Derivative-Free Optimization (2009). Research Interests: Development of optimization algorithms for derivative-free and stochastic scenarios, multi-objective optimization, machine learning applications, and computational methods for engineering problems. Key contributions include trust-region methods, bilevel optimization frameworks, and fairness-aware machine learning models. Grants and Leadership: Secured over $1M from the Office of Naval Research (2024) and the Air Force Office of Scientific Research (2023). Served as Editor-in-Chief of Portugaliae Mathematica (2013–2018) and on editorial boards of top journals like SIAM Journal on Optimization . Elected President of the Operations Research Association of Chairs (2024). Visiting Positions: IBM T.J. Watson Research Center (2002/2003), Courant Institute/NYU (2009/2010), and CERFACS/Toulouse (2010–2015). Active in international conferences, delivering plenary lectures at 13th French-German Conference on Optimization, ICCOPT III, and ISMP 2018.

Wantao Yuمشاهده پروفایل

استاد

• Digital Supply Chain Management
• Supply Chain Sustainability
• Lean, Agile, Resilient and Green (LARG) Supply Chain
• +۵ مورد دیگر

Wantao Yu is a Professor of Supply Chain Management at the Roehampton Business School, part of the University of Roehampton's Faculty of Business and Law. Previously, he held academic positions at the University of Kent, University of East Anglia, and Buckinghamshire New University. His expertise spans digital supply chain management, sustainability, and modern slavery prevention. He actively supervises PhD students in areas like agri-tech and LARG (Lean, Agile, Resilient, Green) supply chains. Research Interests: His work focuses on digital innovation in supply chains, sustainable practices, and ethical sourcing. Notable projects include STFC-funded initiatives in agri-food systems (UK, China, Kenya, Uganda) leveraging IoT and machine learning for sustainability and productivity. He emphasizes public-private partnerships with smallholder farmers and agribusinesses. Notable Achievements: Included in Stanford's World Top 2% Scientists (2020-2024) and recognized with multiple awards, including the Emerald/EFMD Doctoral Research Award (2010) and conference paper accolades (e.g., 2017, 2015). His pandemic-related research was featured in the WHO database. Teaching: Leads courses on Supply Chain Strategy & Processes and Digital Logistics. External roles include serving as an academic examiner at universities like Essex and Hertfordshire. Collaborations: Active in global research networks, with recent projects in Kenya, Uganda, and China. Key themes include data-driven supply chains, agri-tech, and resilience strategies for SMEs.

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.

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.