جست‌وجوی استاد و پژوهشگر

Suresh VALIYAVEETTILمشاهده پروفایل

دانشیار

• Functional Polymers
• Nanomaterials
• Nanosafety/Nanotoxicity
• +۴ مورد دیگر

Suresh Valiyaveettil is an Associate Professor in the Department of Chemistry at the National University of Singapore (NUS). He holds a Ph.D. from the University of Victoria and postdoctoral experience at the Max-Planck Institute Mainz and Cornell University. His research focuses on synthesizing and characterizing functional polymers, nanomaterials, and cellulose-based materials for environmental applications, including nanosafety, microplastic remediation, and sustainable material circularity. Key achievements include the Erudite Professorship from Kerala Government (2012) and NUS’s Outstanding Scientist Award (2008). He teaches CM4252 Polymer Chemistry 2 and CM5161 Advanced Chemical Laboratory Safety . His group investigates bio-inspired adhesives, nanoparticle toxicity, and renewable adsorbents for water purification, with notable contributions to understanding nanoplastics’ environmental and biological impacts. Research Highlights: Synthesized novel perylene dyes and functional polymers for 2D/3D architectures. Developed cellulose-based adsorbents for removing plastic nanoparticles from water. Explored nanoparticle interactions with biological systems, including human cells and marine larvae. He serves on editorial boards for Nanomaterials , MRS Communications , and Cancer Nanotechnology . Current projects emphasize sustainable waste conversion, eco-friendly water treatment solutions, and nanomaterial safety assessments.

Kota Saitoمشاهده پروفایل

استاد

• Decision Theory
• Behavioral Economics
• Experimental Economics
• +۳ مورد دیگر

Kota Saito is a Professor of Economics at the California Institute of Technology. He holds a Ph.D. from Northwestern University (2011) and previously served as an Assistant Professor at Caltech from 2011–16 before becoming a full professor in 2017. Education: B.A. (Keio University, 2005), M.A. (University of Tokyo, 2007), Ph.D. (Northwestern University, 2011) His research focuses on decision theory , developing mathematical models that explain behavioral regularities in experimental economics and psychology. Key areas include stochastic intertemporal preferences , random utility models , and discrete choice analysis . Recent work explores non-separable time preferences in dynamic discrete choice models and axiomatizations for random utility with incomplete datasets. The 15 most recent publications span decision theory , discrete choice , and behavioral economics , with particular attention to stochastic intertemporal choice , mixed logit models , and risk-time preference interactions . These studies often involve collaborations with Federico Echenique, Jay Lu, and Taisuke Imai. Scientific Awards NSF Grant SES-1919263 (PI) NSF Grant SES-1558757 (Co-PI) Pension Research Council/TIAA Institute Partnership Grant (2017-18) At Caltech, Saito is affiliated with the Ronald and Maxine Linde Institute of Economic and Management Sciences and the Center for Theoretical and Experimental Social Sciences (CTESS). He teaches graduate courses in economic theory, including Behavioral Decision Theory and Theory of Value .

Kevin Thomasمشاهده پروفایل

استاد

• Environmental Health Science
• Contaminants of Emerging Concern
• Plastics Pollution
• +۷ مورد دیگر

Professor Kevin Thomas serves as Director of the Queensland Alliance for Environmental Health Sciences (QAEHS) at the University of Queensland's Faculty of Health, Medicine and Behavioural Sciences. He also leads the Minderoo Centre for Plastics and Human Health at UQ and serves as Deputy-Director of the Australian Research Council Industrial Transformation Training Centre for Hyphenated Analytical Separation Technologies (HyTech). As an environmental health scientist with extensive expertise in contaminants of emerging concern (CECs), Professor Thomas has established himself as a leading researcher in environmental exposure assessment and analytical methodologies. His educational background includes a Doctor of Philosophy and Doctoral Diploma of Science (Advanced) from Plymouth University. Professor Thomas has built a distinguished career focused on understanding human exposure to environmental contaminants, particularly plastics pollution and associated chemicals. His research spans multiple disciplines including analytical chemistry, environmental toxicology, and public health surveillance. Professor Thomas's primary research interests center on environmental exposure assessment, with particular emphasis on plastics pollution (microplastics and nanoplastics), PFAS exposure, and wastewater-based epidemiology for community health assessment. His work combines advanced analytical methodologies with environmental monitoring to assess human and ecological risks from emerging contaminants. He has pioneered innovative approaches to exposure monitoring using alternative matrices such as explanted silicone prostheses and wristbands, and has founded the international SCORE network on sewer biomarker analysis. His research has significant implications for environmental health policy and risk management strategies. Analysis of Professor Thomas's recent publications reveals a strong focus on plastics pollution across multiple environmental matrices (water, air, soil, food, and human tissues), advanced analytical method development for contaminants of emerging concern, and wastewater-based epidemiology as a public health surveillance tool. His work demonstrates a clear trajectory toward understanding the human health implications of environmental contaminants, particularly plastics and PFAS, while developing increasingly sophisticated analytical techniques to characterize these exposures. As an active research leader, Professor Thomas has secured significant funding from diverse sources including the Australian Research Council, Queensland Health, NHMRC, and the Minderoo Foundation. His collaborative approach is evident in his leadership of multiple research centers and networks that bring together experts from various disciplines to address complex environmental health challenges. Professor Thomas actively supervises numerous PhD students across a wide range of projects related to environmental health sciences. His supervision portfolio demonstrates his commitment to training the next generation of environmental health scientists while advancing research in plastics pollution, wastewater analysis, and exposure assessment. He serves as Associate Editor for the journal Science of the Total Environment, reflecting his standing in the scientific community. Professor Thomas leads the Queensland Alliance for Environmental Health Sciences (QAEHS), a multidisciplinary research center committed to world-class research across environmental health sciences. He has also established the InSpectra platform for identifying emerging chemical threats and co-founded the international SCORE network on sewer biomarker analysis. His research infrastructure includes advanced analytical capabilities for characterizing contaminants of emerging concern, particularly in the areas of mass spectrometry and environmental monitoring.

Hao-Wen Dongمشاهده پروفایل

استادیار

• Generative AI
• Multimodal Learning
• Music Generation
• +۳ مورد دیگر

Hao-Wen Dong is an Assistant Professor in the Department of Performing Arts Technology at the University of Michigan, with an affiliation to the Computer Science and Engineering Department. His research focuses on Human-Centered Generative AI for content creation, emphasizing music, audio, and video domains. He holds a Ph.D. in Computer Science from UCSD, advised by Julian McAuley and Taylor Berg-Kirkpatrick. Affiliations: University of Michigan (Primary), UCSD (Ph.D.), National Taiwan University (B.S.) Research Pillars: Generative AI models for new domains, AI-assisted creative tools, and multimodal content creation His work spans music generation (e.g., MuseGAN), audio synthesis (e.g., ViolinDiff), and multimodal systems (e.g., TeaserGen). He has led over 25+ publications in top venues like ISMIR, ICASSP, and ICLR. He advises students in interdisciplinary projects and teaches courses on AI Music and Generative AI for Music/Audio Creation. Notable awards include the Doctoral Award for Excellence in Research (2024) and Rising Stars in AI (2024).

• Hydrogen Storage
• Materials Engineering
• Nanoporous Materials
• +۲ مورد دیگر

Tim Mays is Professor of Chemical and Materials Engineering at the University of Bath, where he also serves as Director of the Institute for Sustainable Energy and the Environment and Co-Director of the Centre for Sustainable Chemical Technologies. Research Focus: His work centers on hydrogen storage technologies, nanoporous materials, and sustainable energy systems. Current projects include developing advanced materials for cryogenic hydrogen storage and low tritium isotope separation for fusion power applications. Leadership: Directs multidisciplinary research initiatives through the Water Innovation and Research Centre and Centre for Sustainable Energy Systems, leading projects funded by EPSRC and Aerospace Technology Institute.

Qingye Luمشاهده پروفایل

دانشیار

• Bioadhesion
• Colloid and Interfacial Chemistry
• Nanomaterials/Nanotechnology
• +۶ مورد دیگر

Dr. Qingye Lu is an Associate Professor in the Department of Chemical and Petroleum Engineering at the University of Calgary. Her research focuses on bioadhesion, colloid and interfacial chemistry, nanomaterials, and their applications in environmental and energy systems. She holds a PhD in Analytical Chemistry from the University of Alberta and has postdoctoral training in Civil and Environmental Engineering and Chemical and Materials Engineering. She leads the Laboratory of Interfacial Science and Advanced Materials (LISAM), developing advanced materials for sustainability, energy, and environmental challenges. Education: PhD in Analytical Chemistry, University of Alberta MSc in Physical Chemistry, Wuhan University BSc in Chemistry, Wuhan University Research Interests: Bioinspired materials for CO2 capture and oil/water separation Interfacial science in energy systems (e.g., solar evaporation, fuel cells) Environmental applications: wastewater treatment, heavy metal adsorption Awards: Early Career Research Excellence Award (2020) Queen Elizabeth II Graduate Scholarship (2008–2009) Advising: Seeks motivated Master’s and PhD students across disciplines. Labs: LISAM Lab focuses on interfacial science and advanced materials for energy and environment.

Cejna Anna Quist-Jensenمشاهده پروفایل

دانشیار

• Membrane Technology
• Water and Wastewater Treatment
• Resource Recovery
• +۴ مورد دیگر

Cejna Anna Quist-Jensen is an Associate Professor at the Department of Chemistry and Bioscience, Aalborg University, affiliated with the Bioresources and Process Engineering Center and the Center for Membrane Technology. Her research focuses on membrane-based technologies for resource recovery, including minerals/metals and freshwater from unconventional sources like waste streams. She specializes in membrane distillation, membrane crystallization, electrodialysis, and forward osmosis. Education: PhD in Membrane Crystallization (Institute on Membrane Technology, ITM-CNR, 2016) and MSc in Chemical Engineering (2012). Key projects include BEYONDBATTREC (battery recycling), CORNERSTONE (water-energy-solute recovery), and EXBRINER (seawater brine resources). She teaches Integrated Process Modeling and supervises students across multiple semesters in water/wastewater treatment. Research interests span sustainable development goals (SDGs), particularly clean water (SDG 6), affordable energy (SDG 7), and responsible consumption (SDG 12). Her work addresses industrial wastewater treatment, produced water management, and circular economy strategies. Notable contributions include advancements in 3D-printed membranes, percrystallization for zero liquid discharge, and lithium/magnesium recovery from brines. She actively participates in conferences and collaborates internationally on membrane technology innovations.

Ana Maria da Conceição Ferreira Takahashiمشاهده پروفایل

پژوهشگر

• Sustainable Processes
• Eco-Friendly Solvents
• Biomass Valorization
• +۴ مورد دیگر

Ana Maria da Conceição Ferreira Takahashi is a Junior Researcher at the Aveiro Institute of Materials (CICECO), University of Aveiro, Portugal. She holds a PhD in Chemical Engineering (2018) and has conducted international research at institutions in Brazil, Japan, Germany, and Portugal. Her work focuses on sustainable processes using eco-friendly solvents for biomass valorization and plastic waste recycling, integrating green chemistry and biotechnology within circular economy frameworks. She leads the FCT-funded project GreenPATH, developing enzymatic depolymerization strategies for polymer recycling. With 43 peer-reviewed publications (h-index 20), she collaborates with industries like LEGO and Volvo in EU initiatives. She has supervised over 25 students and received the CICECO Young Researcher Award (2024). Education: BSc (2011), MSc (2013), and PhD (2018) in Chemical Engineering from University of Aveiro. Postdoctoral work included TUM University Foundation Fellowship (Germany) and JSPS Fellowship (Japan). Research interests emphasize bio-based solvents (ionic liquids, DESs), enzyme-assisted depolymerization, and computational tools like COSMO-RS for solvent selection. Projects include plastic additive removal, biomass extraction, and industrial collaboration for sustainable technologies.

Umang Mathurمشاهده پروفایل

استادیار

• Formal Methods
• Concurrency
• Programming Languages
• +۴ مورد دیگر

Umang Mathur is an Assistant Professor at the National University of Singapore's School of Computing, where he leads the FOCS Lab and is affiliated with PLSE@NUS. His research focuses on Formal Methods , Concurrency , and Decidability in Programming Languages and Software Engineering . PhD in Computer Science from the University of Illinois at Urbana-Champaign (advisor: Prof. Mahesh Viswanathan) Former Research Scientist at Facebook Inc. and Research Fellow at the Simons Institute Recipient of Google PhD Fellowship, 2024 CPP Distinguished Paper Award, 2023 ACM SIGPLAN Award, and ASPLOS 2022 Best Paper Award His recent work explores algorithmic techniques for detecting concurrency bugs , decidable program verification , and synthesis , with a focus on weak memory models, predictive monitoring, and automata-theoretic approaches. Articles span topics like causal concurrency, tree clock data structures, and probabilistic counting algorithms, reflecting interdisciplinary intersections of logic and systems research. Scientific Awards Google PhD Fellowship 2024 CPP Distinguished Paper 2023 ACM SIGPLAN Distinguished Paper 2022 ASPLOS Best Paper 2018 ESEC/FSE Distinguished Paper He advises PhD students in Formal Methods and supervises teams in the FOCS Lab. Teaching includes advanced modules on Automata Theory, Logic, and Verification at NUS.

Hamid Nawabمشاهده پروفایل

استاد

• Computational signal processing
• Applied artificial intelligence
• Analysis of EMG signals
• +۳ مورد دیگر

Hamid Nawab is a Professor in the Department of Electrical and Computer Engineering at Boston University, with an affiliated appointment in the Department of Biomedical Engineering. He holds a PhD from MIT (1982) and has been recognized for exceptional teaching, including the College of Engineering inaugural Teaching Excellence in the Core Curriculum Award (2025) and multiple ECE Department Excellence in Teaching Awards. His research focuses on computational signal processing, applied artificial intelligence, and biomedical signal analysis, particularly in EMG and patient activity monitoring. He has taught courses such as Signals and Systems, Digital Signal Processing, and graduate teaching seminars. His work integrates signal processing with biomedical applications, including Parkinson’s disease monitoring via wearable sensors and EMG signal decomposition. He has authored influential texts like Signals and Systems and contributed to over 50 peer-reviewed publications. Awards include Fellow of the American Institute for Medical and Biological Engineering (2006) and the Metcalf Award for Excellence in Teaching (1993). His advising and grants emphasize interdisciplinary engineering education and biomedical signal processing. Collaborations span clinical and academic institutions, focusing on translational research in healthcare technology.

• Eukaryotic RNA processing
• Post-transcriptional gene regulation
• Spliceosome structure and mechanism
• +۶ مورد دیگر

Melissa J. Moore, PhD, is Professor at the University of Massachusetts Chan Medical School, where she holds the Eleanor Eustis Farrington Chair of Cancer Research and serves in the RNA Therapeutics Institute. She also holds appointments in the T. H. Chan School of Medicine (Department of Chemical Biology) and the Morningside Graduate School of Biomedical Sciences (Departments of Biochemistry & Molecular Biotechnology, Interdisciplinary Graduate Program, and Translational Science). Additional affiliations include campus-wide programs in Bioinformatics & Integrative Biology and Chemical Biology. Education: BS in Chemistry/Biology, College of William and Mary PhD in Biological Chemistry, Massachusetts Institute of Technology Research Focus: Melissa Moore’s laboratory investigates post-transcriptional gene regulation in eukaryotes, with emphasis on three interconnected themes: (1) spliceosome structure and catalytic mechanism, (2) nuclear-to-cytoplasmic control of mRNA metabolism, and (3) quality control and clearance of defective ribosomal and messenger RNAs. The group combines biochemistry, single-molecule biophysics, RNA structural biology, and cell biology to dissect these processes at molecular and systems levels. Scientific Awards & Honors: Eleanor Eustis Farrington Chair of Cancer Research Funding & Collaborations: Work is supported by grants from the National Institutes of Health and involves ongoing collaborations with investigators at Brandeis University, MIT, University of Rochester, and other institutions. Rotation projects for graduate students are available in all active research areas. Laboratory & Team: The Moore laboratory is located in the RNA Therapeutics Institute at UMass Chan Medical School, 364 Plantation Street, Worcester, MA. The team employs state-of-the-art single-molecule imaging, mass spectrometry, and high-throughput sequencing to advance understanding of RNA biology and to translate insights into therapeutic RNA technologies.

Cao Haishanمشاهده پروفایل

دانشیار

• Cryogenic Cooling
• Micro Cryocoolers
• Joule-Thomson Cooling
• +۱۲ مورد دیگر

Cao Haishan is an Associate Professor at Tsinghua University, affiliated with the Department of Energy and Power Engineering in the School of Mechanical Engineering. His research focuses on cryogenic cooling systems, high heat flux thermal management, and the physics of amorphous ice formation and phase transitions. He leads a research group supported by the National Natural Science Foundation of China and industry partners including Huawei, Midea, and Lenovo. Ph.D., Mechanical Engineering, University of Twente, 2013 M.Sc., Chemical Engineering, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 2009 B.Sc., Chemical Engineering, Zhejiang University, 2006 Dr. Cao's research spans three major areas: cryogenic cooling (including micro cryocoolers and sorption systems), high heat flux electronic cooling (especially with non-condensable gases), and the formation and transformation of amorphous water ice. His work combines theoretical modeling, computational simulation, and experimental validation, often at micro and nano scales. He applies principles from thermodynamics, fluid dynamics, and materials science to solve engineering challenges in refrigeration and thermal control. The recent publications reflect a strong trend toward interdisciplinary research, integrating machine learning for heat transfer prediction, computational screening of MOFs for cryogenic switches, and fundamental studies of ice nucleation on various substrates. The articles span journals in physics, engineering, materials, and applied thermal sciences, indicating broad impact across multiple domains. Notable scientific awards include: Gustav and Ingrid Klipping Award (2016) Cryogenics Best Paper Award (2017) Annual Teaching Excellence Award, Tsinghua University (2023) Excellent Supervisor Award, Tsinghua University (2024) Multiple First Prize Advisor awards in national student contests on energy saving Dr. Cao has been principal investigator on several grants, including projects funded by the National Natural Science Foundation of China on amorphous ice lifetime and micro-cryocooling for semiconductor chips. He has also led industry-university collaborations with Huawei, Midea, and Lenovo. He advises graduate students and leads a research team focused on next-generation cooling technologies. He serves on editorial boards for Journal of Refrigeration , Vacuum and Cryogenics , and Energies , and has chaired sessions at major international conferences such as ICEC-ICMC and ACTS. His research group operates within the Institute of Thermophysics at Tsinghua University, leveraging facilities in the Lee Shau Kee Science and Technology Building. The team collaborates with national laboratories and international institutions, particularly maintaining ties with the University of Twente. Current efforts are directed toward ultra-low vibration cooling, efficient separation of non-condensable gases, and extending the stability of amorphous ice for cryobiological applications.

• Synthetic Organic Chemistry
• Photochemistry
• Bioorganic Chemistry
• +۵ مورد دیگر

David Aitken is a Professor of Organic Chemistry at the Institute of Molecular Chemistry and Materials of Orsay (ICMMO - UMR 8182) , University of Paris-Saclay. His research focuses on synthetic methodology , photochemistry , and the preparation of bioactive molecular scaffolds . He studied Chemistry at the University of Strathclyde (BSc 1983, PhD 1986), followed by a CNRS Researcher position at the University of Paris 5 before becoming a Professor at the University of Clermont-Ferrand 2 in 1998. Since 2006, he has led his research group at Orsay and currently serves as Director of ICMMO . Education : BSc and PhD in Chemistry (University of Strathclyde, Scotland) Research Interests : Synthetic methodology, photochemical transformations, hydrogen bonding in peptides, conformational control, and biologically relevant molecules Methodologies : Photochemistry, organocatalysis, tandem reactions, stereoselective synthesis, and computational modeling Structural Analysis : Hydrogen bonding, helical folding, and non-covalent interactions using spectroscopy and molecular modeling Current Role : Director of ICMMO research institute His recent publications highlight innovations in peptide helical folding , cyclobutane and cyclopropane synthesis , and enantioselective catalytic reactions . His work bridges organic synthesis with biological applications, particularly in protein interaction inhibitors and insulin-sensitizing molecules .

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

Jonathan Poggieمشاهده پروفایل

استاد

• Hypersonic Flight
• Compressible Flow
• Flow Control
• +۱۲ مورد دیگر

Jonathan Poggie is a Professor in the School of Aeronautics and Astronautics at Purdue University's College of Engineering, where he has been a faculty member since 2015. He previously spent over two decades at the Air Force Research Laboratory. His research group conducts high-fidelity simulations in hypersonic aerodynamics, turbulence, and plasma-based flow control, supported by major grants from DoD, DoE, AFOSR, and ONR. Ph.D., Mechanical and Aerospace Engineering, Princeton University, 1995 M.S.E., Mechanical and Aerospace Engineering, Princeton University, 1991 B.S., Mechanical Engineering, University of Rhode Island, 1988 Prof. Poggie's research focuses on high-speed fluid dynamics , particularly hypersonic flows , compressible turbulence , laminar-turbulent transition , and shock-wave/boundary-layer interactions . His group also investigates plasma-based flow control using electrical discharges. His work combines computational, experimental, and theoretical approaches to address challenges in aerospace vehicle design, especially for defense and space applications. The articles reflect a strong focus on computational fluid dynamics of high-speed flows, with particular emphasis on shock unsteadiness , boundary layer transition , and plasma actuation . The research spans from fundamental fluid mechanics to applied aerospace engineering, with increasing recent interest in military conflict modeling using fluid dynamics analogies. C. T. Sun Excellence in Research Award, 2023 University Faculty Scholar, 2023-2028 Outstanding Graduate Faculty Mentor Award, 2021 Elmer F. Bruhn Teaching Award, 2019 W. A. Gustafson Teaching Award, 2018 ASME Fellow, 2007 AIAA Associate Fellow, 2004 Prof. Poggie has advised 6 PhD students and 18 MS students at Purdue as of 2025. His research has been supported by multiple large-scale grants, including three DoD Frontier Projects and a DoE INCITE Award , providing supercomputing resources for high-fidelity simulations. He collaborates with researchers at The Ohio State University, Notre Dame, and various national laboratories. His group has developed novel approaches to operational mapping for military conflict analysis, creating continuous flow models of battlefield dynamics. The team has also secured two patents in hypersonic technology, one for inlet design and another for a hypersonic test facility. His research group investigates geometric imperfections in hypersonic vehicles (steps, gaps, roughness), laminar-turbulent transition prediction, and separation unsteadiness in shock-wave interactions. They use advanced computational methods like DDES and DNS, supported by massive computing allocations. The group has produced significant work on sidewall confinement effects , wall roughness , and gap flows in hypersonic configurations.