جست‌وجوی استاد و پژوهشگر

Yao Yinuoمشاهده پروفایل

استادیار

• Computational fluid dynamics
• Numerical methods
• Wastewater treatment
• +۵ مورد دیگر

Dr. Yao Yinuo is an Assistant Professor in the Department of Civil & Environmental Engineering at Texas A&M University, with an affiliation in Mechanical Engineering. Her research focuses on computational fluid dynamics, numerical methods, and environmental biotechnology. She leads the MSCE Lab, which integrates modeling, simulations, and experiments to address challenges in water treatment, energy storage, and resource recovery. The lab emphasizes transitioning technologies from lab-scale to commercial applications and fosters a collaborative research environment. Education: Ph.D., Civil & Environmental Engineering, Stanford University (2021) M.S., Institute for Computational and Mathematical Engineering, Stanford University (2021) M.S., Civil & Environmental Engineering, Stanford University (2017) B.Eng., Civil & Environmental Engineering, National University of Singapore (2015) Research Interests: Dr. Yinuo’s work spans multiscale modeling of fluid dynamics, porous medium flow, and energy storage systems. She develops hybrid numerical schemes and advanced simulation techniques to study thermal runaway in batteries, reactive transport in porous media, and membrane distillation for desalination. Her lab also explores wastewater treatment innovations and microfluidics applications. Lab Activities: The MSCE Lab actively recruits motivated students for Ph.D. programs starting Fall 2025. Recent lab activities include group outings and presentations at conferences like AWWA WQTC. Notable publications include studies on non-intrusive hybrid schemes for heat transfer and level-set methods for reactive transport.

• Electrical and Electronic Engineering
• Applied Mathematics
• Physical Sciences
• +۳ مورد دیگر

Ali Moradi Amani is a Senior Lecturer at the RMIT University School of Engineering , specializing in Electrical & Electronic Engineering. Based at the City Campus in Australia, his research focuses on clean energy systems, machine learning applications in power networks, and smart grid technologies . Affiliation: RMIT University, School of Engineering Academic Rank: Senior Lecturer Email: ali.moradiamani@rmit.edu.au His recent publications (2020-2025) demonstrate expertise in: AI-driven energy sustainability solutions Electric vehicle charging infrastructure optimization Community battery storage systems Multi-energy system demand response Dynamic grid operating envelopes Solar system demand management He actively supervises Masters and PhD research projects in these areas, emphasizing scalable and robust energy solutions through data-driven approaches and advanced optimization techniques.

• Power Electronics
• Energy Storage
• Electromobility
• +۲ مورد دیگر

Mahinda Vilathgamuwa is Professor in Power Engineering at QUT's Faculty of Engineering, specializing in power electronics and energy systems. An IEEE Fellow, his research covers wireless power transfer, grid resilience, battery management, and renewable integration. Key innovations include control strategies for grid-forming inverters, degradation-conscious battery scheduling, and dynamic wireless charging systems. Supervision focuses on electromobility and grid-interactive storage systems.

Douglas H. Kelleyمشاهده پروفایل

استاد

• Fluid Dynamics
• Liquid Metal Batteries
• Brain Fluid Transport
• +۲ مورد دیگر

Douglas H. Kelley is a Professor of Mechanical Engineering at the University of Rochester's Hajim School of Engineering, with a joint appointment as Senior Scientist at the Laboratory for Laser Energetics. He received his PhD from the University of Maryland in 2009. His research investigates transport phenomena across diverse systems including liquid metal batteries, brain fluid dynamics, and geophysical flows. Key research domains: Fluid mechanics of grid-scale liquid metal batteries Cerebrospinal fluid dynamics and brain waste clearance mechanisms Mixing processes in Earth's outer core relevant to geomagnetism Experimental and computational analysis of Lagrangian coherent structures His publication record demonstrates consistent focus on experimental fluid dynamics, with recent emphasis on cerebrospinal fluid transport (employing AI velocimetry) and liquid battery optimization. Research frequently integrates advanced measurement techniques with theoretical modeling of complex flows. Dr. Kelley teaches Continuum Mechanics and Instrumentation/Measurement courses at Rochester and maintains active collaborations with medical researchers on brain fluid dynamics projects.

Yongliang Liمشاهده پروفایل

استاد

• Thermal Energy Engineering
• Refrigeration and Air Conditioning
• Carbon Capture and Storage
• +۳ مورد دیگر

Professor Yongliang Li is a Chair in Thermal Energy Engineering at the University of Birmingham's School of Chemical Engineering. He leads the Birmingham Centre for Energy Storage and specializes in thermal energy processes, including energy storage, refrigeration, carbon capture, and system optimization. His research has been funded by EPSRC, British Council, and industry partners like Air Products and CSR. He holds prestigious awards such as the Dorothy Hodgkin Postgraduate Award and the Collaborative Development Award. Education: PhD in Chemical and Process Engineering from the University of Leeds (2011), BEng from Beijing University of Aeronautics & Astronautics (2005). Research Interests: Thermal energy storage (heat/cold), refrigeration systems, carbon capture, process simulation, and system optimization. His work emphasizes sustainable energy solutions and industrial applications. Key Projects: Includes EPSRC-funded studies on multi-scale energy storage systems and cryogenic cold storage using microencapsulated materials. Collaborations with international partners like the Royal Society and SGRI Europe explore energy storage innovations. Doctoral Supervision: Principal advisor to Ciprian Negoescu and Sidra Rama; co-advisor to Chuan Li, Xiaodong Peng, and Yaoting Huang. Funding: Over £2.5M secured since 2014 for energy storage and carbon capture projects. Labs/Teams: Directs the Birmingham Centre for Energy Storage, focusing on interdisciplinary energy research and development.

Yuanzhu Zhanمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Management
• Big Data and Analytics
• +۷ مورد دیگر

Yuanzhu Zhan is an Associate Professor in Operations and Supply Chain Management at the University of Birmingham's Birmingham Business School, holding the Department of Management's PGR Lead role. Previously, he served as Programme Director for the BSc Business Management (PT) program in Singapore (2021/22). He holds a PhD and MSc from the University of Nottingham, specializing in Risk Management and Business Management. His research focuses on emerging technologies' impacts on operations, innovation, and sustainability, with notable contributions to blockchain governance, AI-driven supply chains, and circular economy frameworks. He co-edits special issues on 'Blockchain in Operations' (International Journal of Production Economics) and 'Generative AI in Digital Platforms' (IEEE Transactions on Engineering Management). Editorial Roles: Associate Editor of Journal of Operations Management, Department Editor of IEEE TEM, Board Member of IJOPM/IJPE/IMDS Awards: 2024 Best Reviewer (JOM), 2022 Emerald Award (IMDS), 2018 Early Career Award (ULMS) Funding: Secured grants from British Academy/Leverhulme Trust, NSFC, and MSI Key Projects: Blockchain-enabled social media platforms, AI in healthcare logistics, electric vehicles for net-zero Zhan's teaching expertise spans Operations Management and Business Analytics at both undergraduate and postgraduate levels. He is a certified expert in Big Data Analytics and actively supervises PhD candidates in technology-driven innovation and sustainable supply chains.

• Electric Vehicle Engineering
• Photovoltaics
• Reinforcement Learning
• +۳ مورد دیگر

Kun Qian is a postdoctoral researcher at the University of Southern Denmark's Faculty of Engineering, affiliated with the Centre for Industrial Electronics. His work bridges industrial electronics and sustainable energy systems. Research focuses on integrating electric vehicles (EVs) and photovoltaic (PV) technologies to optimize energy systems. Specializes in physics-informed neural networks, reinforcement learning, and computational efficiency in simulations. Active in developing smart charging strategies for EVs and exploring second-life battery applications in renewable energy plants. His research spans interdisciplinary topics combining electrical engineering, artificial intelligence, and urban sustainability. Notable work includes optimizing EV charging infrastructure for net-zero energy cities and enhancing renewable energy utilization through battery storage.

• Ubiquitous Computing
• IoT
• Wearables
• +۳ مورد دیگر

Josiah Hester is an Associate Professor at the School of Interactive Computing within the College of Computing at Georgia Institute of Technology. His work focuses on sustainable computing, wearables, IoT, and ubiquitous computing with an emphasis on energy harvesting and culturally relevant technology design. Research Themes: Dr. Hester’s research integrates hardware-software co-design to enable battery-free and low-power systems. His projects include batteryless UAVs, sustainable smart masks (VeriMask), and culturally responsive educational tools for Hawaiian immersion schools. He also explores human-centered wearables, environmental sensors for climate justice, and energy-aware computing frameworks. Grants & Collaborations: His work is supported by NSF awards including DESC: Life-time aware design frameworks for sustainable edge devices, and collaborative research initiatives with international partners. Notable projects include the NSF-funded EquityWare (co-designing wearables for low-income communities) and Protean (adaptive hardware for battery-free computing). Labs: Directs the Josiah Hester Lab , though the current website link appears inactive. The lab focuses on Intermittent Computing and Sustainable Embedded Systems .

Muhammad Shahzad Javedمشاهده پروفایل

پژوهشگر ارشد

• Renewable Energy Systems
• Energy Systems Modeling
• Socio-Techno-Economic-Environmental Analysis
• +۴ مورد دیگر

Muhammad Shahzad Javed is a Postdoctoral Fellow at the University of Oslo's Energy Systems Section, focusing on inclusive and efficient net-zero energy systems. His research integrates socio-technical perspectives, particularly involving adolescents' visions for future energy systems through the 'Wind for Future' project. He holds a PhD from Shanghai Jiao Tong University, where he studied techno-economic and environmental viability of off-grid renewable systems. Education: PhD in Renewable Energy Systems, Shanghai Jiao Tong University (Focus: Techno-Economic & Environmental Analysis) Prior degrees not specified in records Research Focus: His work emphasizes multi-objective optimization of renewable energy systems, resilience against extreme weather, and socio-techno-economic-environmental analysis. He collaborates internationally with institutions like MDH University (Sweden), AGH University (Poland), and Texas A&M University. Key Projects: 'Wind for Future': Integrating youth perspectives into energy system modeling via workshops and high-resolution power system models. Designing resilient off-grid systems for remote communities, focusing on reliability under stochastic outages and multi-annual variability. Collaborations & Impact: His publications in SCI journals address hybrid systems, energy storage, and climate resilience, with citations on Google Scholar and ResearchGate. He advocates for energy justice and interdisciplinary approaches in renewable energy systems.

• Electric Vehicle Engineering
• Energy Efficiency
• Geotechnical Centrifuge Testing
• +۳ مورد دیگر

Guido Wager is a Researcher affiliated with The University of Western Australia, holding roles in the National Geo-Technical Centrifuge Facility, School of Social Sciences, and Planning and Transport Research Centre. His work focuses on geotechnical engineering, electric vehicle infrastructure, and sustainable transportation systems. He has contributed to UN Sustainable Development Goals through research on energy efficiency and offshore wind energy. Completed PhD in Electronics Engineering Primary research interests include centrifuge-based geotechnical testing, electric vehicle energy management, and strategic planning for renewable energy infrastructure. His work bridges civil engineering innovations with sustainable transport solutions. Recent research trends emphasize optimizing electric vehicle charging infrastructure in Western Australia and advancing monopile installation techniques for offshore wind projects using geotechnical centrifuge models. His studies on regenerative braking systems and battery cell balance under fast charging conditions further highlight his expertise in EV systems. Recipient of 2022 Vice-Chancellor’s Award for Research Technical Support Excellence Guido has led 2 major grants focusing on battery-electric bus feasibility studies in regional WA. He collaborates with industry partners like iMove CRC to translate research into practical solutions. Operates within UWA’s National Geo-Technical Centrifuge Facility, a key lab for scaled geotechnical experiments, and contributes to the Planning and Transport Research Centre’s strategic initiatives.

• Renewable Energy Systems
• Photovoltaic Technology
• Microgrid Optimization
• +۳ مورد دیگر

Pablo Díaz Villar is an Associate Professor at the Department of Teoría de la Señal y Comunicaciones, Universidad Autónoma de Madrid (UAM). He holds a Ph.D. from Universidad Politécnica de Madrid (2003) with a thesis on photovoltaic system reliability for rural electrification. His research focuses on renewable energy systems, microgrid optimization, and energy storage technologies. He leads the TM Tecnologías Mecánicas, Eléctricas y Térmicas research group. Key research interests include photovoltaic system design, evolutionary algorithms for energy optimization, and sustainable rural electrification. His work spans theoretical models and field implementations in Latin America. Recent studies address cooling methods for PV modules, Industry 4.0 energy management, and adaptive scheduling in microgrids. Publications emphasize practical applications of renewable energy in manufacturing, smart grids, and educational tools like PVLearning for photovoltaic education. His work bridges algorithmic innovation with real-world energy challenges.

Bugra Alkanمشاهده پروفایل

مدرس ارشد

• Smart Manufacturing Systems
• Collaborative Robotics
• Industrial Artificial Intelligence
• +۷ مورد دیگر

Dr Bugra Alkan is a Senior Lecturer in Artificial Intelligence and Robotics at the School of Computer Science and Digital Technologies , London South Bank University . With a PhD in Engineering from University of Warwick (2019), he has held postdoctoral positions at University of Bristol and University of Warwick . Academic Rank: Senior Lecturer Institutional Roles: Module Leader for Industrial Cyber-Physical Systems, Artificial Intelligence, Systems Cybersecurity Editorial Roles: Associate Editor for Industrial Robot and Heliyon , Editorial Board Member for MDPI Sensors and Frontier of Industrial Engineering Research focuses on smart manufacturing , collaborative robotics , and industrial AI with emphasis on cyber-physical production systems , digital twins , and Industry 5.0 . Key projects include: Data-driven Configuration Optimisation of CPPS AI-Enabled Digital Life-cycle Management Deep Learning-based Inline Quality Inspection Human-centric Collaborative Assembly 5.0 Scientific contributions include: Best Paper Awards at CIRP CATS 2016 and IATS’13 Over 40 peer-reviewed publications with h-index 16 Editorial leadership in Q1/Q2 journals Teaching responsibilities span artificial intelligence , cyber-physical systems , and statistical modeling at both undergraduate and postgraduate levels. Current research involves EU-funded TWIN-IT-ROMANS project (€1.76M) addressing robotics manufacturing systems.

Safia Kedad-Sidhoumمشاهده پروفایل

استاد

• Operations Research
• Combinatorial Optimization
• Linear Programming
• +۶ مورد دیگر

Safia Kedad-Sidhoum is a Full Professor at the Conservatoire National des Arts et Métiers (CNAM), affiliated with the CEDRIC Laboratory's Combinatorial Optimization team. Her research focuses on Operations Research, particularly in combinatorial optimization, scheduling, lot-sizing, energy management, and supply chain optimization. She holds a Ph.D. from École Centrale Paris (1997) and an HDR from UPMC (2010). She has held academic positions at UPMC from 1999 to 2017, including roles as Associate and Assistant Professor, before becoming a Full Professor at CNAM in 2018. She has extensive industrial experience, including as a Supply Chain Planning Project Manager at Dynasys (1998–1999). She co-leads the Master Parisien de Recherche Opérationnelle (MPRO) and has advised numerous Ph.D. students. Her work includes projects funded by Google, CNRS, and FUI initiatives, addressing energy optimization, remanufacturing, and supply chain efficiency. She actively participates in academic societies such as EURO/ROADEF, IWLS, and serves on editorial boards. Her teaching spans scheduling, optimization, and mathematical tools at CNAM and UTC.

Ali Bazziمشاهده پروفایل

استاد

• Fault-tolerant power electronics
• Electric motor drives
• Distributed generation (solar photovoltaics, wind)
• +۳ مورد دیگر

Dr. Ali Bazzi is the Madonna Professor in Power Engineering at the University of Connecticut (UConn), within the Department of Electrical and Computer Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) and B.E./M.E. degrees from the American University of Beirut (AUB). He co-founded Valcon Labs Inc., a deep-tech startup focused on aircraft electrification, and previously worked at Delphi Corp. and Bitrode Corporation. His research focuses on fault-tolerant power electronics, electric motor drives, renewable energy integration (solar/wind), and WBG semiconductor applications. Education: Ph.D., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign M.E., Electrical and Computer Engineering, American University of Beirut B.E., Electrical and Computer Engineering, American University of Beirut Research Interests: Dr. Bazzi's work emphasizes reliability, efficiency, and fault mitigation in power systems, including extraterrestrial microgrids, electric vehicle propulsion, and high-voltage insulation technologies. His contributions span real-time control algorithms, fault diagnosis, and advanced materials for medium-voltage drives. Publications & Patents: With over 120 peer-reviewed publications and 10 U.S. patents, his work includes innovations in active EMI filters, insulation breakdown prediction, and cyber-physical testbeds for space habitats. Recent trends highlight space microgrid reliability, WBG semiconductor applications, and fault-tolerant drive systems. Awards & Grants: Awarded the Madonna Professorship, he has led grants from UTC and industry partners. His patents include methods for fault diagnosis, data-driven anomaly detection, and insulation material optimization. Labs & Teams: Director of the Power Electronics and Drives Advanced Research Laboratory at UConn, he collaborates with industry partners like Valcon Labs on aircraft electrification and propulsion systems.

Maree Lakeمشاهده پروفایل

پژوهشگر ارشد

• Numeracy Education
• Mathematics Education
• Applied Mathematics
• +۷ مورد دیگر

Dr. Maree Lake is a Numeracy Research Fellow at the SiMERR National Research Centre within the School of Education at the University of New England (UNE), Australia. Her work bridges mathematics education, applied numeracy, and interdisciplinary engineering research in renewable energy and transport systems. Education: PhD MTeach(Sec) - Master of Teaching (Secondary) GradCertCivEng - Graduate Certificate in Civil Engineering BAppSc(Maths) - Bachelor of Applied Science in Mathematics Her research interests focus on enhancing numeracy and mathematical skills across all age groups and educational levels, with a strong emphasis on overcoming learning barriers and demonstrating real-world applications of mathematics. This educational mission is complemented by extensive research in renewable energy systems , particularly solar thermal technology and hybrid photovoltaic-wind systems, as well as transport engineering , including railway maintenance scheduling and public transport evaluation. Her recent publications (2017–2020) are predominantly in high-temperature solar receivers, biomass gasification, and hybrid energy modeling, reflecting a strong focus on sustainable energy solutions. Earlier works (1999–2002) center on railway infrastructure, cost-benefit analysis, and urban freight systems, showcasing long-term expertise in transport logistics and optimization. Collectively, her work spans energy, education, and infrastructure, demonstrating a unique interdisciplinary approach. Scientific Contributions: Developed simulation models for rail sleeper replacement and maintenance scheduling. Contributed to the design and analysis of high-efficiency solar receivers. Advanced methodologies for hybrid renewable energy system optimization. Proposed frameworks for public transport project evaluation. She has collaborated with researchers across institutions such as The University of Queensland, UNSW Sydney, and Queensland University of Technology. While no formal students are listed, her collaborative output suggests advisory or team leadership roles. She has no listed scientific awards in the provided text. Her research is supported through interdisciplinary collaboration and institutional affiliation with UNE’s SiMERR centre, which focuses on rural and regional education in mathematics and science. Laboratories and Research Groups: SiMERR National Research Centre (Science and Mathematics Education Research and Resource Network) Collaborative work with mechanical and engineering research teams at UNE and partner institutions