جست‌وجوی استاد و پژوهشگر

Gonzalo Guillén Gosálbezمشاهده پروفایل

استاد

• Process Systems Engineering
• Sustainable Chemistry
• Environmental Impact Assessment
• +۷ مورد دیگر

Prof. Dr. Gonzalo Guillén Gosálbez is a Full Professor at the Department of Chemistry and Applied Biosciences , ETH Zürich. He holds a PhD in Process Systems Engineering (UPC, 2005) and has held academic positions at Imperial College London (Reader), University of Manchester (Senior Lecturer), and Universitat Rovira i Virgili (Assistant/Associate Professor). His research focuses on Sustainable Chemical Processes , integrating life cycle assessment, optimization techniques, and planetary boundary analysis to evaluate and design low-carbon technologies. Current position: Full Professor, ETH Zürich (2019–present) Prior roles: Imperial College London (2016–2019), University of Manchester (2014–2016), URV Spain (2008–2014) Education: PhD (UPC, 2005), MEng/BEng (University of Murcia) His research explores CO2 valorization , green methanol synthesis , circular marine fuels , and planetary boundary compliance in energy and chemical systems. Recent work emphasizes machine learning for process modeling, single-atom catalysis , and decentralized ammonia production . Scientific contributions include 15+ peer-reviewed articles (2023–2025) in journals like Nature Chemical Engineering , ACS Sustainable Chemistry & Engineering , and Energy & Environmental Science . Key themes: Optimization of hybrid fossil/renewable carbon systems Environmental impacts of energy transitions Catalyst design for sustainable chemistry Life cycle assessment of emerging technologies Awarded UPC Top Doctoral Student Award and Top National Student Award , he combines process systems engineering with sustainability metrics to address global challenges in chemical and energy systems.

Min Huمشاهده پروفایل

استادیار

• Health Economics
• Applied Microeconomics
• Labour Economics
• +۷ مورد دیگر

Min Hu is an Assistant Professor in the Department of Economics, Philosophy, and Political Science at the University of British Columbia, Okanagan Campus. He holds an adjunct position at Dalhousie University's School of Health Administration. His primary research focuses on Health Economics, Applied Microeconomics, and Labour Economics, with an emphasis on vulnerable populations in Canada, Indigenous health, income inequalities, and cancer economics. He teaches courses in Microeconomics, Health Economics, and Statistics. Education: PhD in Economics (2019), Dalhousie University; Postdoctoral Fellowship in Health Economics (2019–2020), Dalhousie University. Previous degrees include an M.A. (2014–2016) and B.A. in Economics from Dalhousie University. Research interests include the socio-economic determinants of health disparities, particularly among Indigenous peoples and immigrants, and the economic impacts of cancer-related policies. He employs applied econometric methods to analyze labor market outcomes and social policy effectiveness. His recent articles explore sustainable biomass utilization, energy policies, and environmental engineering innovations. Key themes include biomass supply chain optimization, CO₂ reduction strategies, and waste-to-energy technologies. Scientific Awards: Recipient of SSHRC New Frontiers Grant (2023–2026), CIHR Team Grant (2024–2026), and multiple UBC startup grants. His work is supported by SSHRC, CRDCN, and Indigenous Services Canada. He advises students in Economics and Global Studies (IGS) programs. Grants and funding span health economics, Indigenous well-being, and sustainable energy systems. Collaborations include interdisciplinary teams in health administration and environmental policy. Labs/Teams: Engaged with UBC's Okanagan Sustainability Initiatives and Dalhousie's Health Economics Research Group. Affiliated with professional organizations like the American Economic Association and Canadian Health Economics Study Group.

Olga Saukhمشاهده پروفایل

دانشیار

• Efficient Machine Learning
• Deep Learning
• Embedded Systems
• +۱۲ مورد دیگر

Olga Saukh is an Associate Professor at the Institute of Technical Informatics, Graz University of Technology (TU Graz), and a Faculty member at the Complexity Science Hub Vienna (CSH). She leads the Embedded Learning and Sensing Systems research group, which operates across both institutions, focusing on the design and deployment of efficient AI-based systems on edge and mobile platforms. Her work bridges deep learning and embedded systems, with applications in environmental monitoring, precision agriculture, and digital health. Ph.D. in Computer Science, University of Bonn (2009) Habilitation in Embedded Systems, TU Graz (2020) Postdoctoral Training, ETH Zurich (2010–2016) B.Sc. in Applied Mathematics, Taras Shevchenko National University of Kyiv (2002) M.Sc. in Applied Computer Science, University of Freiburg (2004) Her research centers on efficient machine learning, particularly model optimization, neural network pruning, and contrastive learning for resource-constrained devices. She is deeply engaged in solving real-world challenges in IoT, sensor networks, and cyber-physical systems. Her work emphasizes data privacy, sustainability, and practical deployment of AI at the edge. The 15 most recent publications highlight a strong trend in efficient deep learning, including model compression, pruning, and transfer learning, applied to diverse domains such as environmental sensing (air quality, pollution tracking), digital agriculture (cattle farming), and embedded AI (sensor calibration, on-demand sensing). Her work frequently appears in top-tier venues like NeurIPS, ICLR, and IEEE/ACM IPSN, reflecting her leadership at the intersection of machine learning and embedded systems. Scientific awards include: CONET Ph.D. Academic Award (2010) Multiple Best Paper Awards at IEEE PerCom, ACM/IEEE IPSN, IEEE ICPADS, IEEE SECON, and UrbCom Spotlight and Oral presentations at ICML and CoLLAs workshops Ph.D. scholarship from IPVS, University of Stuttgart (2004–2005) Prizes in Ukrainian national mathematics competitions (1996–1998) Olga Saukh actively serves on program committees of leading international conferences in machine learning and embedded systems. She has advised multiple students and leads a collaborative research group spanning TU Graz and CSH Vienna. Her group develops practical AI systems for real-world deployment, with a focus on sustainability and privacy. She co-organizes the public EfficientML reading group and has secured recognition through numerous grants and awards. Her future work continues to explore the theoretical and practical challenges of deploying efficient, trustworthy AI in mobile and embedded environments. Her research group, Embedded Learning and Sensing Systems, operates jointly between TU Graz and CSH Vienna, fostering interdisciplinary collaboration across institutions. The team develops AI solutions for edge computing, sensor networks, and cyber-physical systems, with a strong emphasis on environmental sustainability and data privacy. Members work on joint challenges using advanced collaboration tools, reflecting the distributed nature of modern academic research.

Gary Rochelleمشاهده پروفایل

استاد

• Chemical Engineering
• Carbon Capture
• Amine Scrubbing
• +۳ مورد دیگر

Gary Rochelle is the Carol and Henry Groppe Professor in Chemical Engineering and a faculty member at the University of Texas at Austin . His research focuses on developing fundamental insights into kinetic and mass transfer phenomena in aqueous technologies for air pollution control and acid gas treating, particularly for carbon dioxide and mercury removal. Education: Ph.D. in Chemical Engineering from UC Berkeley (1977), M.S./B.S. from MIT (1971) His work addresses critical challenges in CO2 capture using amine scrubbing, including process design optimization, solvent degradation mitigation, and pilot plant validation. Recent studies emphasize energy efficiency, oxidation inhibition, and environmental impacts such as amine aerosol emissions. The Texas Carbon Management Program , which he contributes to, aims to improve amine scrubbing technologies for retrofitting power plants and enabling geological sequestration or enhanced oil recovery. His group has validated concentrated aqueous piperazine (PZ) with an advanced flash stripper as the most efficient open-literature system.

Ying Chenمشاهده پروفایل

دانشیار

• Financial Statistics
• Machine Learning
• Quantitative Finance
• +۷ مورد دیگر

Assoc Prof Ying Chen is an Associate Professor at the National University of Singapore , affiliated with the Department of Mathematics, Asian Institute of Digital Finance (as Academic Director of PhD Program in Digital FinTech 2022–2024), Risk Management Institute (2019–2023), Department of Statistics and Data Science (2019–2023), and Department of Economics (2018–2023). She also contributes to NUS Graduate School for Integrative Sciences and Engineering since 2016. Research Interests include: AI forecasting and quantum computing for finance Nonstationary time series and functional data analysis Energy data analytics and precision medicine Network autoregression and spatial-temporal modeling Explainable AI and citation metrics Portfolio liquidation and market-making algorithms Article Trends demonstrate expertise in: Adaptive forecasting for gas flows and electricity prices Blockchain network influence detection Quantum computing applications in finance Functional autoregression with mixed predictors Credit rating fairness and explainability High-resolution implied volatility modeling Scientific Awards include: ISI Elected Member (2016–) International Statistical Institute Council (2023–2027) IASC Scientific Secretary (2017–2019, 2023–2025) Advisory roles for EU FIN-TECH and xAIM projects

Johannes Lercherمشاهده پروفایل

استاد

• Catalysis
• Sustainable Energy
• Chemical Engineering
• +۳ مورد دیگر

Prof. Johannes A. Lercher is a retired professor (as of April 2023) at the Technical University of Munich (TUM), holding the Chair of Chemical Technology II within the Department of Chemistry. His research focuses on heterogeneous catalysis, particularly understanding catalytic processes at solid-liquid and solid-gas interfaces, with applications in sustainable energy production, CO₂ conversion, and catalytic upcycling of polymers. He has held academic positions at the University of Twente (Netherlands) and the Pacific Northwest National Laboratory (USA), and has been Editor-in-Chief of the Journal of Catalysis . His honors include the Alwin Mittasch Prize (2021), ENI Award (2016), and Kozo Tanabe Prize (2013). His recent work emphasizes low-temperature polymer upcycling, methane activation, and bioinspired catalyst design, leveraging advanced spectroscopic and operando techniques. Despite retirement, his contributions to catalysis research remain impactful. Education: PhD (1980) and Habilitation (1985), Vienna University of Technology Visiting Lecturer, Yale University (1982) Research Interests: Heterogeneous catalysis, catalytic interfaces, sustainable energy carriers, CO₂ valorization, and polymer waste upcycling. Key areas include: Design of catalysts for selective hydrocarbon synthesis Mechanistic studies using advanced spectroscopy Development of scalable catalytic processes for industrial applications Recent Trends in Publications: Focus on low-temperature polymer recycling (e.g., PVC and polyolefin upcycling), methane activation via novel catalysts (e.g., Co 2+ in ZSM-5), and bioinspired catalytic strategies. His work bridges fundamental catalysis with industrial relevance, emphasizing sustainability and energy efficiency. Awards and Recognition: Member, Academia Europaea and US National Academy of Engineering Recipient of multiple international catalysis awards (see full list above) Grants and Labs: Led the Institute for Integrated Catalysis (Pacific Northwest National Lab, 2011–present). His research groups have pioneered studies on zeolite-confined reactions and interfacial catalysis, with collaborations spanning academia and industry. Labs/Teams: Active in the TUM Department of Chemistry and international networks focused on catalytic innovation for a carbon-neutral economy.

• Sustainability Assessment
• Life Cycle Assessment
• Circular Economy
• +۵ مورد دیگر

Dr. Li Shen is an Associate Professor at the Copernicus Institute of Sustainable Development , Utrecht University since 2015. She holds the Energy & Resources group and has been active in sustainability assessment of materials and energy systems since completing her PhD in 2011. Education: BEng (Mechanical Engineering, cum laude 1999, Shanghai) MSc (Sustainable Development, track Energy and Resources 2006, Utrecht University) PhD (2011, Utrecht University, thesis: Bio-based and Recycled Polymers for Cleaner Production – an Assessment of Plastics and Fibres ) Research Interests: Dr. Shen specializes in Life Cycle Assessment and Technological Sustainability Evaluation of Bio-based Plastics , Plastics Recycling , Waste Management , and Nanomaterials . Her work bridges Environmental Science , Chemical Engineering , and Sustainable Development through rigorous system analysis. Scientific Publications: Leading expert in Circular Economy applications for plastics Developed Ex-ante LCA frameworks for emerging materials Key contributor to PEF Bio-based Bottle sustainability analysis Active in Telescope Energy Systems sustainability Published in Nature Communications , Science of the Total Environment , and Journal of Cleaner Production Teaching: Responsible instructor for Advanced Energy Analysis in the Master Energy Science program. Also teaches Life Cycle Assessment and Sustainable Resources Use in the Global Sustainability Science bachelor program. Supervises numerous master thesis projects from Energy Science (ES), Sustainable Development (SD-EM), and Science for Energy Innovation (SBI) programs.

Valerie Thomasمشاهده پروفایل

استاد

• Sustainability
• Energy Systems
• Industrial Ecology
• +۵ مورد دیگر

Valerie Thomas is the Anderson Interface Chair of Natural Systems at Georgia Tech, holding joint appointments in the H. Milton Stewart School of Industrial and Systems Engineering and the School of Public Policy. Her research focuses on energy systems, sustainability, industrial ecology, and science and technology policy. She earned a B.A. in Physics from Swarthmore College and a Ph.D. in Theoretical Physics from Cornell University, followed by postdoctoral research at Carnegie Mellon and Princeton Universities. Her work addresses low-carbon transportation, environmental impacts of food systems, and energy development in Africa. Key research areas include life cycle assessment, climate policy, and technology assessment. Thomas has contributed to over 80 technical publications and serves on advisory boards for the U.S. EPA and USDA/DOE. Education: Ph.D. in Physics, Cornell University; B.A. in Physics, Swarthmore College Awards: AAAS and APS Fellowships, Georgia Tech’s 1934 Outstanding Interdisciplinary Award Her teaching spans energy policy, lifecycle analysis, and engineering economics. She leads interdisciplinary teams at the Climate and Energy Policy Laboratory and the Technology Policy and Assessment Center, advancing sustainable systems engineering and policy solutions.

• Wireless Systems
• Network Security
• Computational Trust
• +۸ مورد دیگر

Steve Hailes is a Professor of Wireless Systems at the Department of Computer Science, University College London. He has served as Head of Department since 2019 and Deputy Head from 2005. His research spans wireless networks, computational trust, AI, and sensor systems for health, ecological, and environmental applications. Education: PhD and undergraduate degree from Cambridge University Appointment: Joined UCL in 1991 (postdoc), Lecturer in 1992 Research interests include: Trust and security in networked systems (co-founder of computational trust) Security of industrial control systems AI/ML applications in security and causal discovery Multi-agent reinforcement learning and moral behavior modeling Gas sensor fabrication and deployment for diverse applications Recent publications focus on feature selection for cybersecurity , moral alignment in LLM agents , trust-based consensus algorithms , and causal discovery using reinforcement learning . Collaborations include co-authors like Westphal, Musolesi, and Tennant. Applications span healthcare (dementia, JIA), ecology (endangered species in Botswana), and environmental monitoring (CO distribution, meth lab detection).

Jun Liuمشاهده پروفایل

استادیار

• Advanced energy materials
• Nano/micro-mechanics
• Self-powered electronics and systems
• +۲ مورد دیگر

Jun Liu is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo. His research focuses on advanced energy materials, nano/micro-mechanics, and self-powered systems, with applications in triboelectric energy harvesting and scanning probe microscopy. Education: PhD, Materials Engineering, University of Alberta (2018) MS, Materials Science, Shanghai University (2015) BE, Materials Science and Engineering, Nanchang University (2012) Research Interests: Development of tribovoltaic and triboelectric systems for self-powered electronics Mechanical energy harvesting via dynamic heterojunctions and Schottky contacts 3D-printed hydrogel structures for energy absorption and flexible electronics Nanoscale characterization using atomic force microscopy Design of nanocomposite sensors and catalytic materials Publication Trends: His work emphasizes triboelectricity, nanoscale energy conversion, and sustainable materials. Recent articles explore bionic tactile sensing, tunable hydrogels, and quantum dynamics in sliding interfaces. Awards: SONY Faculty Innovation Award (2021) Nature Springer MINE Young Scientist Award (2020) International Contest of Applications in Nano/Micro Technology Prize (2013) Laboratory: Advanced Energy Materials and Nanomechanics Lab at University at Buffalo.

• Financial Economics
• Market Microstructure
• Derivative Pricing
• +۵ مورد دیگر

Duane J. Seppi is a Professor of Financial Economics at the Tepper School of Business , Carnegie Mellon University since 2001, currently holding the Richard C. Green Professor chair. His research focuses on market microstructure (price manipulation, limit orders, market liquidity) and derivative pricing for commodities. PhD in Finance from University of Chicago (1988) MBA from University of Chicago (1984) BA from Stanford University (1977) His work bridges financial theory with commodity operations , exploring topics like natural gas storage valuation , electricity price modeling , and merchant commodity asset management . Key publication trends include Nash equilibrium in price impact , latent trading demand analysis , and commodity real options . Scientific awards include: Best Paper Award (2015) WFA/NYSE Prize (2005) George Leland Bach Award (2002) Roger F. Murray Prize (1998) As a dedicated educator , he teaches option pricing , stochastic processes , and algorithmic trading . His editorial board service spans the Journal of Finance , Journal of Financial Markets , and Review of Finance . Duane has held visiting fellowships at the U.S. SEC , University of Vienna , and Nanyang Technical University .

• Thermodynamics
• Energy Systems
• Cryogenics
• +۴ مورد دیگر

Andrew Rowe is a Professor in Mechanical Engineering at the University of Victoria (UVic), with affiliations to the Institute for Integrated Energy Systems (IESVic) and the Advanced Mechanical Research Laboratory (AMRLab). He holds a BEng from the Royal Military College of Canada, MASc and PhD from UVic, and is a licensed Professional Engineer (P.Eng). His research focuses on thermodynamics, energy systems, cryogenics, and heat transfer, with particular expertise in caloric cycles, hydrogen systems, and energy systems analysis. His research emphasizes decarbonization strategies, including hydrogen integration into natural gas networks, grid flexibility under electrification scenarios, and the optimization of magnetocaloric materials for energy-efficient cooling. AMRLab, led by Rowe, develops technologies for energy conversion, storage, and system optimization, addressing challenges in low-temperature thermal systems and integrated energy networks. Recent work explores the systemic impacts of electrification in transportation and buildings, leveraging open-source tools like the NExus Solutions Tool (NEST) for multi-scale energy-water-land system modeling. His projects often address regional energy challenges, such as British Columbia’s transition to renewable energy and grid infrastructure resilience. Key contributions include studies on gas system decarbonization via hydrogen blending, thermal-hydraulic modeling of energy systems, and experimental validation of magnetocaloric materials. Rowe’s publications highlight interdisciplinary approaches to climate mitigation, emphasizing the interplay between technological innovation and systemic policy frameworks.

Eduardo Pereyraمشاهده پروفایل

استاد

• Multiphase Flow
• Flow Assurance
• Artificial Lift
• +۳ مورد دیگر

Eduardo Pereyra is a Professor in the McDougall School of Petroleum Engineering at The University of Tulsa, where he serves as Associate Director for the Tulsa Fluid Flow Projects (TUFFP) and the Horizontal Wells Artificial Lift Project (TUHWALP) . His academic career spans theoretical and applied research in multiphase flow, flow assurance, artificial lift systems, and separation technologies. Education: Ph.D. and M.Sc. in Petroleum Engineering from The University of Tulsa; Dual B.S. in Mechanical Engineering and Systems Engineering from the University of Los Andes, Venezuela Pereyra’s research focuses on multiphase flow dynamics , particularly in gas-liquid and oil-water systems. His work addresses critical challenges such as slug flow mitigation , downhole separator efficiency , and ESP motor cooling , leveraging computational fluid dynamics (CFD) and experimental validation. Recent publications emphasize inclined pipe flows , severe slugging mitigation , and plunger lift optimization . Pereyra has received multiple accolades, including the 2023 SPE Production and Operations Award and the 2022 Kermit Brown Outstanding Teacher Award . His contributions to multiphase flow modeling have been recognized through the 2021 Zelimir Schmidt Outstanding Researcher Award . He actively collaborates with industry partners through TUFFP and TUHWALP, directing projects like the Horizontal Wells Artificial Lift Initiative .

• Environmental engineering
• Wastewater treatment
• Greenhouse gas mitigation
• +۵ مورد دیگر

Professor Bing-Jie (Bruce) Ni is an Adjunct Professor at the University of Technology Sydney (UTS) within the School of Civil and Environmental Engineering and a full Professor at UNSW Sydney. He is an internationally recognised leader in environmental engineering, wastewater treatment, greenhouse-gas mitigation, microplastics fate, electrocatalysis and sustainable energy systems. Education PhD in Environmental Engineering, University of Science and Technology of China, Hefei (2005–2009) Research Interests Professor Ni’s research integrates process engineering, microbial biotechnology, materials science and mathematical modelling to develop sustainable technologies for high-efficiency pollutant removal, minimal carbon footprint and maximal energy recovery from wastewater. He is a global pioneer in: Modelling and control of nitrous oxide (N₂O) and methane (CH₄) emissions from wastewater systems, Micro- and nano-plastics ecotoxicity and mitigation in anaerobic digestion, Transforming sewage sludge into high-value liquid bio-energy (medium-chain fatty acids and long-chain alcohols), Designing cost-effective electrocatalysts from natural minerals for green hydrogen production and wastewater electrolysis. Research Output & Impact Over the last decade he has published 2 research books, 30 book chapters and >400 refereed journal papers , including 35 in Environmental Science & Technology and 85 in Water Research . His work has influenced global policy: the IPCC adopted his nitrous-oxide-emission model in 2019 to revise national greenhouse-gas inventories for the first time in 13 years. Awards & Recognition ARC Future Fellowship & ARC DECRA Fellowship Clarivate Analytics Highly Cited Researcher (Web of Science) Royal Society of Chemistry Highly Cited Researcher (2020–present) Mendeley Data Top 2 % Cited Researchers worldwide Listed among “Australia’s Most Innovative Engineers” (Engineers Australia, 2018) 50+ additional awards including Scopus Young Researcher Award, South Australian Water Awards, UQ Research Excellence Awards, and Outstanding Doctoral Dissertation Awards. Research Funding & Leadership He has secured ≈ AUD $10 million in competitive funding (six major ARC grants plus >20 government, university and industry projects). He serves as: Lead Guest Editor, Water Research Editorial Advisory Board, Environmental Science & Technology Associate Editor for Journal of Cleaner Production , Environmental Chemistry Letters , Environmental Research , Journal of Environmental Management Editorial Board member for five additional high-impact journals. Teaching & Supervision At UTS he teaches Renewable Energy Technologies , Environmental and Sanitation Engineering , Process Dynamics and Control , and Water and Wastewater Treatment . He is available to supervise Masters and PhD students in environmental biotechnology, process modelling and sustainable energy systems. Laboratory & Commercial Translation He heads active research teams at both UNSW and UTS and is the inventor of >10 granted patents , some of which are currently being commercialised to deliver real-world impacts in greenhouse-gas-neutral wastewater treatment and renewable energy production.

• Environmental Engineering
• Chemical Engineering
• Water Purification
• +۹ مورد دیگر

Menachem Elimelech is a Professor in the Department of Chemical and Environmental Engineering and holds a secondary appointment at the School of the Environment at Yale University. He is a leading researcher in membrane-based water purification technologies, with a strong focus on desalination, wastewater recycling, and colloidal processes in aquatic systems. Department: Chemical and Environmental Engineering School: School of the Environment University: Yale University Email: menachem.elimelech@yale.edu His research spans fundamental and applied aspects of environmental engineering, particularly in developing advanced membranes for water treatment. Key areas include reverse osmosis, electrodialysis, solar-thermal desalination, and molecular-level understanding of transport phenomena in polyamide membranes. The recent publications (2025) demonstrate a strong trend toward molecular simulations, nanostructured membranes, and innovative materials like ceramic-carbon Janus membranes. His work integrates experimental and computational approaches to unravel ion and solute transport mechanisms, aiming to enhance efficiency and selectivity in water purification systems. Colloidal Processes in Aquatic Environments (2008–Present) Environmental Technology and Education (2008–Present) Recycling of Wastewater (2008–Present) Dr. Elimelech is actively involved in interdisciplinary research and collaborates with experts such as John Fortner and Matthew Eckelman. He contributes to the Yale Superfund Research Center and continues to publish in high-impact journals including Science Advances , Nature Communications , and Environmental Science & Technology .