جست‌وجوی استاد و پژوهشگر

DENG Yangمشاهده پروفایل

استادیار

• Natural Language Processing
• Information Retrieval
• Large Language Models
• +۷ مورد دیگر

Dr. Yang Deng is a tenure-track Assistant Professor at the School of Computing and Information Systems, Singapore Management University, and a Lee Kong Chian Fellow. Previously, he was a Postdoctoral Research Fellow at NExT++ (National University of Singapore). His research focuses on Natural Language Processing, Information Retrieval, and Large Language Models, with special interests in Proactive Conversational AI, Trustworthiness of LLMs, and Human-Centered Information Seeking. He has published over 40 papers in top-tier venues including ACL, EMNLP, WWW, and SIGIR. PhD from The Chinese University of Hong Kong (2023) Research Advisor to CHEANG Chi Seng Research Domains: Natural Language Processing Information Retrieval Large Language Models Human-Agent Interaction Digital Transformation Trustworthy AI Scientific Recognition: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2024 EMNLP 2024 Outstanding Area Chair NeurIPS 2024 Best Reviewer

Andreas Zoggمشاهده پروفایل

استاد

• Process Development
• Process Safety
• Reaction Technology
• +۵ مورد دیگر

Prof. Dr. Andreas Zogg is a Professor at the FHNW University of Applied Sciences and Arts Northwestern Switzerland, leading the process development team in the School of Life Sciences' Institute for Chemistry and Bioanalytics. His research focuses on process safety, continuous flow chemistry, and thermal process safety, with a strong emphasis on bridging academic innovation with industrial applications. He founded and chairs the Miniplant 4.0 initiative, which advances chemical process development through safety-first approaches. Key projects include Innosuisse-funded collaborations with industry partners like Fluitec and Schärer & Schläpfer AG, focusing on scaling continuous processes safely. Zogg’s team develops models for explosion risk assessment, energy-efficient processes, and reactor design. His lab facilities include a unique explosion reactor for testing hazardous reactions, offering students hands-on experience in process safety and modeling. Roles: Team leader, Lab head, Course manager Research Themes: Process safety, reaction technology, calorimetry, sustainable chemical processes Key Achievements: Awarded for applied chemical thermodynamics (2005), ETH Medal (2004) Education: Not explicitly stated in provided texts Zogg actively supervises MSc and BSc students in industry-linked projects, fostering next-generation engineers skilled in process optimization and safety. His work emphasizes Switzerland's chemical industry competitiveness through safety, sustainability, and quality.

• Chemical process modelling
• Simulation and optimization
• Economic Plant wide control
• +۳ مورد دیگر

Nitin Kaistha is a Professor in the Department of Chemical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), where he has been serving as faculty since September 2002. His expertise lies in chemical process modeling, simulation, optimization, and economic plant-wide control systems. PhD, University of Tennessee, Knoxville TN, 1999 Thesis Title: A Generic SPC Framework for the Characterization of Batch Profiles B.Tech, Indian Institute of Technology Kanpur, 1996 Professor Kaistha's research focuses on economic plant wide control of complex chemical processes , reactive distillation modeling , simulation and control , and process intensification technologies . His work bridges theoretical control systems with practical industrial applications, particularly in optimizing chemical plant operations for economic efficiency. His research has significant implications for improving energy efficiency and reducing operational costs in chemical manufacturing. His publications (2005-2013) demonstrate a consistent focus on economic plant-wide control systems, with particular emphasis on applications to specific chemical processes like cumene production, ethyl benzene processes, and reactive distillation systems. His work often involves collaboration with researchers from various institutions, indicating strong interdisciplinary connections in the field of process systems engineering. P.K. Kelkar Research Fellowship, IIT Kanpur (2009-2012) Erasmus Mundus Fellowship, NTNU, Norway (2009) Best Session Paper Award at CHEMCON 2004, Mumbai, India Outstanding Session Paper Award, June 2001 American Control Conference, Arlington VA Phi Kappa Phi Honor Society Member (1997-1999) Professor Kaistha has been actively involved in knowledge transfer to industry professionals through organizing industrial short courses on chemical process design, operation, and control. His proposed technique for slop-cut elimination in pipeline transfer of fuels to HPCL was acknowledged to save Rs 6 crore per annum per pipeline, demonstrating the practical impact of his research. He teaches courses in Chemical Engineering Design, Process Dynamics and Control, Advanced Process Dynamics and Control, Thermodynamics, and Unit Operations and Controls Laboratory, contributing significantly to the education of chemical engineering students at IIT Kanpur.

Nathan Dahlinمشاهده پروفایل

استادیار

• Machine Learning
• Stochastic Control
• Optimization
• +۲ مورد دیگر

Nathan Dahlin is an Assistant Professor in the Department of Electrical and Computer Engineering at the University at Albany's College of Nanotechnology, Science, and Engineering. He holds a BS, MS, and PhD in Electrical Engineering and an MA in Applied Mathematics from the University of Southern California. Prior to joining UAlbany, he was a Postdoctoral Research Associate at the University of Illinois Urbana-Champaign and a senior audio DSP research engineer at Audyssey Laboratories. Dr. Dahlin's research focuses on fundamental problems in machine learning, stochastic control, optimization, and microeconomics, with applications in developing computationally efficient decision-making approaches for smart energy systems. His work emphasizes reliability in uncertain environments and risk management. His recent publications demonstrate strong focus on machine learning applications in control systems, energy management, and algorithm design. Articles frequently address topics like imitation learning, economic dispatch optimization, neural network transformation, and kernel-based learning methods, often with practical implementations in energy systems and smart grids. Dr. Dahlin is active in professional organizations including the Institute of Electrical and Electronics Engineers (IEEE) and the Association for the Advancement of Artificial Intelligence (AAAI). He serves as a reviewer for leading conferences and journals including AAAI Conference on Artificial Intelligence, IEEE Transactions on Control of Network Systems, IEEE Transactions on Power Systems, and IEEE Transactions on Smart Grid.

• Chemical Engineering
• Catalysis
• Biofuels
• +۷ مورد دیگر

Juha Linnekoski is a Researcher at the School of Chemical Engineering, Aalto University (formerly Helsinki University of Technology). With a Doctoral degree in Engineering and Technology awarded in 1999, he has maintained an active research career spanning over two decades with 34 publications to his name. His research interests focus on chemical engineering applications for renewable resources, particularly in the areas of catalytic upgrading, tall oil processing, and biofuel production. His work contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Analysis of his publication history shows consistent research output with recent focus on fermentation processes for biofuel production (2021), hydrogen solubility in biomass derivatives (2017), and catalytic conversion of tall oil into valuable chemicals (2014-2015). His research demonstrates strong industry relevance with multiple patents issued in 2019-2022. Dr. Linnekoski has engaged in academic collaboration through visiting researcher positions at foreign institutions (1996-1997) and has presented his work at significant conferences including the Nordic Symposium on Catalysis and Reactive Separation Systems. His research has garnered substantial attention with citations across multiple publications and significant downloads of his work, indicating impact in the field of chemical engineering and renewable resource processing.

Emily W. Towمشاهده پروفایل

دانشیار

• Water Reuse and Desalination
• Water-Energy-Food Nexus
• Heat Transfer
• +۳ مورد دیگر

Emily W. Tow is an Associate Professor of Mechanical Engineering at Olin College. Her research focuses on water reuse, desalination, and the water-energy-food nexus, emphasizing membrane fouling mitigation and energy efficiency. She also practices visual art, exploring repetition through media like ceramics and murals. Ph.D., Mechanical Engineering, MIT (2017) S.M., Mechanical Engineering, MIT (2014) S.B., Mechanical Engineering, MIT (2012) Her engineering work addresses sustainability via transport phenomena studies. Key areas include improving membrane technologies for wastewater treatment and desalination. She has over 15 peer-reviewed publications and patents, with recent work on batch reverse osmosis and PFAS management. Her lab, Tow Lab, investigates scalable solutions for water scarcity challenges. Awards include the ITRI-Rosenfeld Postdoctoral Fellowship and NSF Graduate Research Fellowship. Her art complements her technical work, reflecting themes of process and repetition. Awards: ITRI-Rosenfeld Postdoctoral Fellowship NSF Graduate Research Fellowship U.S. Bureau of Reclamation 'More Water, Less Concentrate' Challenge Winner Meredith Kamm Memorial Award Emily advises students and collaborates on projects funded by federal and industry partners. Her Tow Lab at Olin College fosters interdisciplinary research in environmental engineering and sustainable technology.

Tzahi Cathمشاهده پروفایل

استاد

• Water Reuse Technologies
• Membrane Filtration
• Desalination Processes
• +۵ مورد دیگر

Professor Tzahi Cath is a leading academic at the Colorado School of Mines , holding the Director role at the Advanced Water Technology Center (AQWATEC) and Co-Director of the Colorado Center for a Sustainable WE2ST. His research spans water reclamation, industrial wastewater treatment, and integrated energy-water systems, with a focus on membrane technologies and data science applications. He maintains a joint appointment at the National Renewable Energy Laboratory (NREL) Water and the Environment. PhD in Environmental Engineering, University of Nevada, Reno (2003) MS in Environmental Engineering, University of Nevada, Reno (2001) BSc in Mechanical Engineering, Tel Aviv University (1992) Tzahi Cath's research explores advanced water treatment technologies, including membrane distillation , reverse osmosis , and biological treatment systems . His work integrates data science for optimizing treatment processes and addressing challenges in direct potable reuse and PFAS removal . Key areas include electrophoretic mixing , buoyancy-driven convection , and decision support tools . His publications reveal a strong focus on membrane technologies (15+ papers), resource recovery (lithium, ammonia), machine learning applications (6 papers), and regional produced water treatment (Oklahoma, Texas, Colorado). Recent work emphasizes low-salt rejection RO and vacuum membrane distillation for hypersaline systems. WateReuse Award for Education and Outreach (2022) Professor Cath leads the Direct Potable Reuse (DPR) mobile lab , recognized for innovative solutions in water sustainability and drought resilience. His work involves collaborations across the National Renewable Energy Laboratory , Metro Wastewater Reclamation District , and Colorado Springs Utilities .

Luis Ricardez-Sandovalمشاهده پروفایل

دانشیار

• Process Systems Engineering
• Multiscale Modelling
• Computer-Aided Catalyst and Materials Design
• +۷ مورد دیگر

Luis Ricardez-Sandoval is an Associate Professor in the Department of Chemical Engineering at the University of Waterloo, Canada. He holds the Tier II Canada Research Chair in Multiscale Modelling and Process Systems. His research focuses on developing theoretical and computational tools for optimizing chemical processes, with a strong emphasis on CO2 capture technologies, energy systems, and heterogeneous catalysis. His work integrates multiscale modeling, machine learning, and advanced control strategies to enhance process efficiency and sustainability. Education : Doctorate in Chemical Engineering, University of Waterloo (2008) Master of Science in Chemical Engineering, Instituto Tecnologico de Celaya (2000) Bachelor of Science in Chemical Engineering, Instituto Tecnologico de Orizaba (1997) Research Interests : Process Systems Engineering and Multiscale Modelling Computer-Aided Material Design for CO2 Utilization Advanced Process Control and Uncertainty Management Optimal Integration of Process Design, Control, and Scheduling Energy Systems and CO2 Capture Technologies Selected Awards : 2024 Canadian Society of Chemical Engineering D.G. Fisher Award 2017 Canada Research Chair (Tier II) 2015 Early Researchers Award (Ontario) Teaching : CHE 341: Introduction to Process Control CHE 521: Process Optimization CHE 522: Advanced Process Dynamics and Control Labs & Collaborations : Ricardez-Sandoval collaborates with industry and governments to advance carbon reduction technologies. His research group has partnerships with institutions like CONACyT (Mexico), China Scholarship Council, and Tampere University (Finland). Key projects include optimizing aquaculture systems, chemical looping combustion, and catalyst design.

Hossein Azizpourمشاهده پروفایل

دانشیار

• Deep Learning
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Hossein Azizpour is an Associate Professor in Machine Learning at KTH Royal Institute of Technology, affiliated with the Division of Robotics, Perception and Learning (RPL). He holds associated roles at the Science for Life Laboratory, Swedish e-Science Research Centre, WASP, and Digital Futures. His research focuses on deep learning under uncertainty, model interpretability, feature selection, and applications in life sciences, physics, and earth observation. Research Themes : (1) Deep learning under uncertainty (Bayesian methods, semi-supervised learning), (2) Interpretable AI (feature attribution, understanding neural networks), (3) Generative & foundation models (Vision Transformers, diffusion models), (4) Applications in medical imaging, fluid dynamics, and earth observation. Recent Work Trends : His publications emphasize vision transformers, uncertainty quantification, and cross-domain applications. Key areas include model optimization (e.g., Patchdropout), medical AI (e.g., breast cancer risk prediction), and physics-informed deep learning. Scientific Awards : Best Paper Award, CVPR DeepVision Workshop (2015) Google Travel Grant, CVPR DeepVision Workshop (2015) Best Paper Runner-Up, CVPR DeepVision Workshop (2014) Best Industry Paper Prize, BMVC (2013) Outstanding Reviewer, CVPR (2013) Advising & Collaborations : Supervises PhD students in AI for physics applications (e.g., fluid dynamics), medical imaging, and computer vision. Collaborates with institutions like AstraZeneca, Alan Turing Institute, and Meta. Labs & Teams : Leads the Robotics, Perception and Learning (RPL) division’s research and co-organizes the Computer Vision Reading Group at KTH.

• Chemical Process Optimization
• Chemical Process Analysis
• Chemical Process Design
• +۳ مورد دیگر

Hua ZHOU serves as an Associate Professor in the Department of Chemical Engineering and Bioengineering at Xiamen University's College of Chemistry and Chemical Engineering, a position held since 2014 after progressing from Assistant Professor (2009-2014). His academic foundation includes a Bachelor's from the University of Petroleum (1992-1996), Master's from Xiamen University (2000-2003), and Ph.D. from South China University of Technology (2005-2008), with interim industry experience at Xiamen Haitong Automation Co., Ltd. (2003-2005). His educational journey is detailed as follows: Bachelor's Degree (1992-1996): Department of Refining and Applied Chemistry, University of Petroleum Master's Degree (2000-2003): Department of Chemical Engineering, Xiamen University Doctorate (2005-2008): School of Chemistry and Chemical Engineering, South China University of Technology Research expertise centers on chemical process optimization, analysis, design, and synthesis with specialized focus on industrial gas separation and purification . His work bridges theoretical modeling and industrial applications, emphasizing energy-efficient solutions for complex chemical systems through advanced simulation techniques and thermo-economic analysis. Publication trends (2008-2018) reveal concentrated contributions in gasification, hydrocracking, and electrocatalysis, with 13 articles in premier journals like Industrial & Engineering Chemistry Research and Energy . His research consistently integrates dynamic modeling, process optimization, and sustainability metrics, demonstrating expertise in translating theoretical frameworks to industrial-scale challenges. No scientific awards are documented in the provided materials. While specific advising records or grant details remain unreported, his Associate Professor role implies graduate student supervision and research funding activities within chemical engineering domains. No laboratory facilities or research teams under his direct leadership are specified in the available documentation.

• Membrane Technology
• Food Engineering
• Enzyme Technology
• +۳ مورد دیگر

Hacı Ali GÜLEÇ is a Professor in the Department of Food Engineering at Trakya University's Faculty of Engineering, where he has served since 2010 and attained full professorship in 2019. He currently holds significant administrative roles including Acting Dean of Engineering (since 2023), Member of the University Board of Trustees and Senate, and previously directed the Project Coordination Center (2022-2024). His academic foundation includes a PhD in Food Engineering from Van Yuzuncu Yıl University (2009), MSc (2004), and BSc (2001) from Hacettepe University. PhD: Food Engineering, Van Yuzuncu Yıl University, 2009 MSc: Food Engineering, Hacettepe University, 2004 BSc: Food Engineering, Hacettepe University, 2001 Prof. GÜLEÇ's research centers on membrane separation technologies for food processing, enzyme engineering for prebiotic synthesis, and plasma surface modification of materials. His work advances whey valorization, pomegranate/apple juice concentration, and bioactive compound extraction, with emphasis on sustainable processing and waste reduction in dairy and fruit industries. Current projects focus on membrane bioreactors for galactooligosaccharide production and plasma-modified membranes for enhanced separation efficiency. His 15 most recent publications (2021-2025) reveal a dominant focus on membrane technologies (73%), particularly osmotic membrane distillation and ultrafiltration applied to dairy and fruit processing. Key trends include enzyme-membrane integration for prebiotic synthesis (31% of articles), plasma surface modification (20%), and valorization of food by-products like whey and pomegranate peels (27%), demonstrating consistent innovation in sustainable food engineering solutions. He has received the Trakya University Senate Scientific Encouragement Award (2014) and TÜBİTAK's Second Best Poster Award (2009) for food safety research. Scientific Encouragement Award, Trakya University Senate, 2014 TÜBİTAK Second Best Poster Award, 2009 Prof. GÜLEÇ has supervised 2 PhD and 4 Master's theses to completion with 3 Master's students currently under supervision. His research is funded through 14 major projects including TÜBİTAK 1001 (2018-2020), COST Action TD1208 (2013-2017), and multiple Trakya University grants, focusing on membrane technology development and enzyme applications in food systems. He teaches core courses including Mass and Energy Balances, Reaction Kinetics, and Membrane Separation Techniques. He directs membrane technology research in the Food Engineering Department laboratories, collaborating with national and international teams on plasma-modified membrane development and enzymatic bioreactor design, with recent work advancing electrospun composite membranes for continuous prebiotic production.

• Chemical Engineering
• Molten Salt Reactor Design
• Emulsion Separation
• +۴ مورد دیگر

Andreu Bernad is a Doctoral Researcher affiliated with the School of Chemical Engineering at Aalto University, specializing in the Department of Chemical and Metallurgical Engineering . His research focuses on advanced chemical and nuclear engineering applications, particularly in multiphase systems, reactor design, and process optimization. Research Areas : Molten Salt Reactor Technology, Oil-Water Emulsion Dynamics, Population Balance Modeling, Forced Convection Systems. His recent publications highlight interdisciplinary work in Chemical Engineering and Nuclear Engineering , with applications to fusion reactor design, molten salt fast reactors, and emulsion separation processes. Collaborations span both national and international networks, focusing on simulation-driven engineering solutions. While no explicit awards or student advisement records are listed in the provided data, his contributions to peer-reviewed journals demonstrate expertise in computational modeling and reactor systems analysis. Key trends in his work include leveraging population balances for industrial fluid systems, optimizing reactor safety mechanisms, and advancing fusion energy technologies through multi-physics simulations.

Oana Lucaمشاهده پروفایل

استادیار

• Physical Inorganic Chemistry
• Inorganic Chemistry
• Organometallic Chemistry
• +۱ مورد دیگر

Oana Luca is an Assistant Professor in the Department of Chemistry at the University of Colorado Boulder, where she leads interdisciplinary research at the intersection of Physical, Inorganic, and Organic Chemistry. Her work focuses on developing scalable, environmentally benign redox processes for solar fuel conversions, CO2 capture, and sustainable chemical synthesis. Education: Ph.D. in Inorganic and Physical Organic Chemistry from Yale University (2013) Postdoctoral Experience: California Institute of Technology (Staff Scientist), The Scripps Research Institute (CA) Key research themes include: Physical Inorganic Chemistry Inorganic Chemistry Organometallic Chemistry Solar Fuel Conversions Recent publications emphasize predictive energetic tuning of nucleophiles for CO2 capture, electrochemical radical generation, and redox-driven recycling of polyesters. Collaborative projects span electrochemical reactor design, thermodynamic sensitivity analysis, and ligand engineering for catalytic systems. Scientific Awards: AAAS Program for Excellence in Science Yale University Scientific Teaching Fellow Her lab trains graduate and undergraduate researchers, with alumni transitioning to industry roles (e.g., Tessa Myren at Amgen). Grants from RASEI SEED, RIO SEED, and NSF support her work on renewable energy technologies.

S.R.A. Kerstenمشاهده پروفایل

استاد

• Sustainable Process Technology
• Biomass Conversion
• Catalysis
• +۶ مورد دیگر

S.R.A. Kersten is a full Professor of Sustainable Process Technology at the Department of Chemical Engineering, University of Twente, The Netherlands. He also serves as Coordinator of the biomass pillar within the Green Energy Initiative (GEI) at the University of Twente and holds academic roles dating back to 1996. His research focuses on biomass conversion, catalysis, and sustainable chemical processes with applications in biofuels, waste valorization, and circular economy. Education: PhD in Chemical Engineering, University of Twente (2002) Master's in Chemistry, University of Amsterdam (1996) Research Interests: Dr. Kersten's work integrates chemical engineering principles with renewable resource utilization, emphasizing pyrolysis, hydrothermal liquefaction, and catalytic processes for biomass and plastic waste conversion. He explores innovative separation techniques, such as ionic liquid-based metal extraction and reactive distillation, while addressing challenges in energy efficiency and process scalability. Collaborations with academia (e.g., WSU, UGhent, Curtin University) and industries (Shell, Akzo) drive applied research outcomes. Teaching & Supervision: He has supervised over 30 master students, 6 post-docs, and 18 PhD candidates since 2003. Current teaching includes Multiphase Reactors (MSc) and Reaction Engineering at the Shell Training Centre. Over 11 ongoing PhD projects are managed under his leadership. Professional Activities: Member of the University of Twente's Faculty Board Master Curriculum Committee Chair Reviewer for Dutch (NWO/STW) and international research grants Labs & Teams: Leads the Sustainable Process Technology (SPT) group within the Chemical Engineering department, focusing on bio-based chemicals, plastic recycling, and green energy systems.

Radoslav Paulenمشاهده پروفایل

دانشیار

• Control Systems
• Chemical Engineering
• Nonlinear Dynamics
• +۵ مورد دیگر

Radoslav Paulen is an Associate Professor and Deputy Head of the Department of Informatization and Process Management at the Slovak University of Technology in Bratislava, Faculty of Chemical and Food Technology. He holds a PhD in Chemical Engineering from the same institution. His research focuses on estimation and optimal control of nonlinear dynamic systems, particularly in chemical and biochemical industries. Key areas include guaranteed and statistical system identification, dynamic optimization, and predictive control. Education: PhD in Chemical Engineering (2012) Master's in Engineering (2008) Bachelor's degree (2006) Research Interests: Paulen's work emphasizes robust methodologies for system modeling and control, with applications in industrial processes. His group develops techniques for state and parameter estimation, global optimization, and model predictive control. Notable contributions include ellipsoidal ensemble methods for set-membership estimation and data-driven inferential sensor design for petrochemical processes. Awards: 2020 Best Article Award in Journal of Process Control 2018 Marie Curie Fellowship 2017 STU Scientist of the Year Advising & Collaboration: Paulen supervises a research team of 18 active and past students. Collaborations include Imperial College London, TU Dortmund, ShanghaiTech University, and industrial partners like Slovnaft and Siemens. His work bridges academic research with industrial applications, focusing on real-time optimization and control strategies for membrane separation, distillation columns, and polymerization reactors. Labs & Teams: Active in the Institute of Informatics, Automation and Mathematics, leading projects on process informatics and model-based control systems.