جست‌وجوی استاد و پژوهشگر

Gerald Speitelمشاهده پروفایل

استاد

• Environmental Engineering
• Water Resources Engineering
• Drinking Water Treatment
• +۳ مورد دیگر

Gerald Speitel is the Associate Dean for Academic Affairs and holds the C.W. Cook Professorship in Environmental Engineering at the University of Texas at Austin. He is affiliated with the Department of Civil, Architectural, and Environmental Engineering within the College of Engineering . His research focuses on environmental and water resources engineering, particularly treatment processes for hazardous organic chemicals, drinking water treatment systems, and computer modeling of environmental processes. Education: Ph.D., Environmental Engineering, University of North Carolina, 1985 M.S.E.E., Environmental Engineering, University of North Carolina, 1979 B.S.C.E., Civil Engineering, Union College, 1976 Research Interests: Biodegradation and adsorption of hazardous chemicals Monochloramine and bromamine decomposition kinetics Disinfection byproduct formation and control Nitrifying biofilm and cometabolism processes Formaldehyde adsorption on modified activated carbon Recent Contributions: His work addresses critical challenges in chloramination kinetics, haloamine behavior in water systems, and advanced treatment technologies for water safety. He has developed novel methodologies for analyzing disinfectant degradation and by-product formation, with a focus on practical applications in drinking water infrastructure. Other Activities: Dr. Speitel’s expertise extends to environmental biotechnology and the design of sustainable water treatment systems. His research often integrates laboratory experiments with computational modeling to optimize treatment processes.

Markus Desernoمشاهده پروفایل

استاد

• Biological Physics
• Theoretical Biophysics
• Computational Biophysics
• +۵ مورد دیگر

Markus Deserno is a Professor of Physics at Carnegie Mellon University's Mellon College of Science, Department of Physics, where he serves as Director of Graduate Affairs. His research focuses on theoretical and computational biological physics, investigating mesoscopic phenomena in lipid membranes, proteins, and other biological systems through the lens of fundamental physical principles. Educational background: Ph.D. from Max-Planck-Institute for Polymer Research (2000) Habilitation in Computational Physics from Mainz University, Germany (2006) Deserno's work centers on how thermal fluctuations, cooperativity, self-assembly, and elasticity govern biological systems at scales between atomic resolution and whole cells. He employs continuum elastic theories, differential geometry, and coarse-grained simulations to develop simplified models that capture essential physics without atomic detail. His research group actively explores membrane mechanics, phase behavior, and curvature elasticity, with particular emphasis on asymmetric lipid bilayers and their biological implications. Analysis of his 15 most recent publications reveals a dominant focus on membrane asymmetry (appearing in 8/15 papers), Gaussian curvature mechanics (6/15), and computational methodology development (12/15). His work increasingly integrates DNA nanotechnology with membrane systems and addresses thermodynamic consequences of lipid composition. Honors include: Thomas E. Thompson Award from Biophysical Society (2021) Otto Hahn-Medal from Max Planck Society (2001) As Section Editor for The Biophysical Journal and active member of four professional societies (American Physical Society, Biophysical Society, American Chemical Society, German Physical Society), Deserno maintains significant scholarly engagement. His research group, featuring members Nick, Mert, Martina, Muhammed, Nishchay, and Amirali, receives funding from federal agencies supporting computational biophysics research. The Deserno group operates within Carnegie Mellon's high-performance computing environment, developing specialized simulation tools for mesoscale membrane phenomena while maintaining strong collaborations with experimental biophysics laboratories worldwide.

• Ornithology
• Ecology
• Animal Behavior
• +۳ مورد دیگر

Dr. Lyanne Brouwer is a researcher at James Cook University's College of Science and Engineering, specializing in Zoology and Ecology. Her work focuses on avian behavior, evolutionary strategies, and ecological impacts of environmental change. Academic Rank: Researcher Institution: James Cook University Dr. Brouwer's research spans ornithology , evolutionary biology , and ecology , with particular emphasis on cooperative breeding systems, parental investment, and climate change effects on bird populations. Her recent publications explore topics such as sex-ratio biases, paternity assurance mechanisms, and vocal communication in fairy-wrens. Scientific trends in her work include urban ecology (analyzing anthropogenic impacts), climate sensitivity (meta-analyzing global avian responses), and behavioral innovation (studying prenatal learning and rescue behaviors). She contributes to computational biology through tools like the HIPHOP R package for parentage analysis. Dr. Brouwer investigates ecological constraints in tropical coastal ecosystems and integrates fitness components across generations in cooperatively breeding species. Her work combines field studies with statistical modeling to understand population viability under environmental stressors.

Kristy L. Towryمشاهده پروفایل

استاد

• Managerial Accounting
• Internal Audit
• Behavioral Economics
• +۴ مورد دیگر

Kristy L. Towry is the John and Lucy Cook Chair and Professor of Accounting at Emory University's Goizueta Business School. She joined the faculty in 2002 after earning her PhD from the University of Texas at Austin, bringing extensive industry experience from roles at Exxon and Compaq. Her research focuses on managerial accounting, internal audit, and behavioral economics, particularly how accounting information informs decision-making through control systems and financial incentives. Education : PhD in Accounting (University of Texas at Austin, 2002), MBA in Accounting and Finance (Texas A&M University, 1988), BSc in Mathematics and Computer Science (Northwestern State University of Louisiana, 1982) Her experimental research integrates economics, psychology, and social sciences to analyze managerial control systems, incentive design, and trust dynamics in collaborative environments. Key themes include contract framing, mutual monitoring, and the impact of noise on strategic learning. Scientific awards include the prestigious John M. & Lucy Cook Chair. She has contributed to journals such as The Accounting Review , Contemporary Accounting Research , and Proceedings of the National Academy of Sciences . Her work explores vicarious learning advantages in complex environments and the dual role of mutual monitoring in fostering collusion or competition.

• Sustainable Energy
• Energy Efficiency Technologies
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Xiaoli Ma is a Senior Research Fellow at the University of Hull, affiliated with the Energy and Environment Institute and the Centre for Sustainable Energy Technologies under the Faculty of Science and Engineering. Her research focuses on sustainable building services, renewable/sustainable energy systems, energy efficiency technologies, and instrumentation technologies. She has secured over £2.7 million in research funding from bodies such as the EU, EPSRC, Innovate UK, and the National Science and Technology Committee of China, leading or co-leading 26 projects. Her research interests include innovative cooling systems for data centers (e.g., super-performance dew point cooling achieving 90% energy savings), solar-driven energy systems, waste heat recovery, and thermoelectric technologies. Notable projects include the development of a novel Loop-Heat-Pipe-based data center cooling system funded by the EU FP7 and a solar façade hot water heating system supported by the EU FP7 Programme. Dr. Ma has published over 90 journal articles, two books, and three book chapters, with recent works focusing on machine learning-driven energy optimization, solar cooking systems with energy storage, and advanced heat pump technologies. She holds two patents and actively supervises PhD students in renewable energy, energy efficiency, and built environment applications. Her lab and team are part of the Energy and Environment Institute, collaborating on projects like the pioneering near-zero-carbon air conditioning system using atmospheric latent heat and natural light energy (EPSRC-funded). Key grants include a £814k EPSRC project and a £692k IEEA initiative for data center cooling advancements.

Matthew Byrneمشاهده پروفایل

دانشیار

• Aboriginal Education
• Educational Leadership
• Education for Disadvantaged Students
• +۵ مورد دیگر

Associate Professor Matthew Byrne is an Associate Dean (Primary) and Associate Professor in the School of Education at Edith Cowan University (ECU). His work focuses on improving educational outcomes for disadvantaged students, particularly in Aboriginal education, while promoting cultural competency and leadership in schools. He collaborates with the Telethon Kids Institute on projects like the Cyber Friendly Schools initiative. Byrne holds a PhD and First Class Honours in Education from ECU. His research interests include Aboriginal education, educational leadership, and addressing behavioral challenges through positive learning environments. Recent projects involve evaluating school breakfast programs, food literacy initiatives, and queer-inclusive teacher training. He has led over 20 grants totaling $750K+, such as the Foodbank WA School Breakfast Program evaluation and the WA Adolescent Cooking and Food Literacy Study. Byrne has supervised 6+ research students, focusing on topics like food education, Indigenous curriculum development, and teacher-student relationships. His work bridges educational policy with practical interventions, emphasizing equity and community engagement.

Bruna Petrecaمشاهده پروفایل

استاد

• Circular Economy
• Materials Science
• Human-Centered Design
• +۳ مورد دیگر

Dr. Bruna Petreca is a Professor and Reader in Human Experience and Materials at the Royal College of Art's Materials Science Research Centre. She specializes in integrating human experience into materials development, focusing on circular economy, digital environments, and health/wellbeing. Her research leads projects like the UKRI Textiles Circularity Centre and EPSRC Dematerialisation initiatives, emphasizing sustainable fashion, consumer behavior, and digital tools. Educated at the University of São Paulo (BA in Fashion/Textiles) and the RCA (PhD in Design Products), she has a postdoctoral background at TU Delft. Awards include 2013 Human Centred Design prizes and recognition for her work on material experience frameworks. She collaborates internationally, chairs research ethics at RCA, and co-leads projects on AI design tools and circular fashion. Her teaching spans undergraduate/postgraduate levels, emphasizing materials science, human-centered design, and sustainable practices. Education: PhD (RCA), Postdoc (TU Delft), BA (USP) Key Projects: Textiles Circularity Centre (UKRI), Consumer Experience Digital Tools (EPSRC), Brazil-UK Natural Polymers Network Awards: Best Concept/Human Centred Design (2013), Best Poster Presentation (2013) Research Themes: Circular fashion, material experience frameworks, embodied design, AR tools for sustainability

Jiong Tangمشاهده پروفایل

استاد

• System Dynamics
• Control
• Sensing and Automation
• +۷ مورد دیگر

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

• Environmental Epidemiology
• Air Pollution and Respiratory Health
• Gene-Environment Interactions
• +۵ مورد دیگر

Khandaker Talat Islam , MD, PhD is an Assistant Professor of Research at the Department of Population and Public Health Sciences, University of Southern California (USC). A dedicated environmental epidemiologist, he has been with USC since 2009 and specializes in graduate-level instruction in epidemiology and environmental health. Medical Doctorate from Dhaka Medical College, Bangladesh PhD in Epidemiology from University of Southern California Dr. Islam's research focuses on the pathogenic mechanisms connecting environmental exposures to chronic diseases. He investigates: Long-term respiratory impacts of childhood air pollution exposure Gene-environment interactions in asthma susceptibility Environmental risk factors for multiple sclerosis Social stressor modifications of pollution effects Pregnancy outcomes linked to cook stove emissions Exposome-wide associations in health disparities His publications reveal a consistent focus on: Environmental health impacts across life stages Multi-omics approaches to exposure biology Urban pollution and metabolic/respiratory outcomes Health disparities in minority populations Scientific Recognitions: Fogarty International Research Scholar Development Award (2015) ATS Val Vallyathan Junior Investigator Award (2011) ATS David Bates Award (2010) ATS Travel Award (2008) Dr. Islam leads the Bangladesh pregnancy cohort study and collaborates with USC neurologists on multiple sclerosis research while maintaining active teaching responsibilities in epidemiology.

• Aquaculture Genetics
• Animal Genomics
• Genome-Wide Selection
• +۳ مورد دیگر

Mehar Singh Khatkar is a researcher affiliated with James Cook University , specializing in genetics and genomics with a focus on aquaculture species such as shrimp (Penaeus monodon and Litopenaeus vannamei), pearl oysters (Pinctada maxima), and cattle. His work spans bioeconomic modeling, genomic prediction, and genetic parameter estimation. He collaborates extensively with institutions like JCU’s College of Science and Engineering. Key research areas include: Quantitative trait loci (QTL) mapping in aquatic species Genome-wide selection and linkage disequilibrium studies Application of deep learning in aquaculture engineering Genetic improvement of aquaculture species Recent contributions highlight his expertise in: Estimating heritability using family-pooled data Developing tools like NETVIEW P for visualizing population structure Bioeconomic analysis of shrimp farming systems Publications demonstrate interdisciplinary approaches combining genetics, statistics, and bioinformatics to advance sustainable aquaculture practices.

• Power Line Communications
• Signal Processing
• Electrical Engineering
• +۳ مورد دیگر

Cornelis Jan Kikkert is an academic affiliated with James Cook University, specializing in areas such as Power Line Communications (PLC), Signal Processing, and Electrical Engineering. His research focuses on improving communication systems within power grids, including impedance measurement techniques, transformer modeling, and smart grid infrastructure. He has contributed to numerous peer-reviewed journals and conferences, including IEEE Smart Grid Communications and Power Line Communications events. His work spans topics like FPGA-based phasor measurement units, inductive shunt analyzers, and broadband PLC applications. Notable contributions include modeling powerline communication channels, developing low-cost coupling networks for smart grids, and advancing adaptive digital predistortion techniques for high-crest-factor signals. His research often bridges theoretical analysis with practical implementations, such as embedded software for real-time impedance analysis and hardware design for satellite beacon receivers. Kikkert has collaborated extensively with industry and academic partners, presenting at global conferences like ISPLC and ICICS. His publications reflect a deep engagement with both foundational and applied aspects of electrical engineering, emphasizing innovation in power systems and communication technologies.

• Computational Complexity
• Logic in Computer Science
• Proof Complexity
• +۴ مورد دیگر

Nicola Galesi serves as an Associate Professor in the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome since 2022, following 17 years in Sapienza's Department of Computer Science (2005-2022). His academic journey began with an Associate Professorship at Universitat Politecnica de Catalunya (2001-2005) after postdoctoral positions at the Institute for Advanced Studies in Princeton (2000-2001) and University of Toronto (2002-2003) under Stephen Cook and Toni Pitassi. His educational background features a PhD from Universitat Politecnica de Catalunya supervised by Maria Luisa Bonet, complemented by dual Italian habilitations as full professor in Mathematical Logic (2012) and Computer Science. These qualifications underpin his rigorous theoretical approach across research domains. Galesi's research program centers on Computational Complexity and Logic in Computer Science , with specialized expertise in Proof Complexity (investigating resolution refinements and algebraic proof systems), SAT-Solving , Optimization , and applied domains like Group Testing and Network Tomography . His seminal work on space complexity in algebraic proof systems (JACM 2015) established foundational frameworks, while recent network tomography research develops mathematical models for node failure identification in communication networks using Boolean algebra and graph connectivity principles. Analysis of his 15 most recent publications (2022-2025) reveals a cohesive research trajectory bridging theoretical proof complexity and practical network analysis. Key trends include depth lower bounds in stabbing planes for combinatorial principles, vertex-connectivity metrics for failure localization, and algebraic investigations of vanishing sums in polynomial calculus. His work consistently applies combinatorial principles to derive tight bounds across graph structures while advancing the theoretical understanding of proof systems through tensor isomorphism and roots of unity analyses. His scientific recognition includes: ACM Computing Review Most Notable paper in Theory of Computing for 2012 Galesi mentors the next generation through PhD supervision of Massimo Lauria (2009), Ilario Bonacina (2015), and Fariba Ranjbar (2021), while hosting postdocs including Alan Skelley, Olaf Beyersdorff, and Massimo Lauria. His research is amplified through prestigious visiting positions at the Simons Institute for Theory of Computing (2015, 2021) and Tokyo Institute for Technology (2015), building on his foundational work at IAS Princeton and Toronto. He actively shapes the theoretical CS landscape as organizer of the Sapienza LOC3 (Logic, Complexity, Combinatorics, Computability) seminar series and founder of the RaTLoCC workshops (Ramsey Theory in Logic, Complexity and Combinatorics). His editorial role for Logical Methods in Computer Science (LMCS) and program committee service for CIAC, IJCAI, and FSTTCS conferences demonstrate sustained community leadership beyond his core research and teaching responsibilities in Calculus, Mathematical Logic, and Computational Complexity.

• Urban Climate Research
• Thermal Comfort
• Urban Air Quality
• +۶ مورد دیگر

Prof. Dr. Uwe Schlink is a leading Professor at the Institute of Meteorology, University of Leipzig, and Senior Researcher at the Department of Urban & Environmental Sociology, Helmholtz Centre for Environmental Research - UFZ. His work focuses on urban climate research , thermal comfort , urban air quality , and statistical modelling with Bayesian inference. He leads the working group on urban climate and personal exposure, bridging environmental science with societal resilience. Affiliation: University of Leipzig (since 2009) and UFZ (since 2013) Research Themes: Urban heat islands, personal exposure to environmental stressors, statistical climate models, and health impacts of air pollution His research spans environmental health , urban climatology , and resilient city planning , with significant contributions to understanding thermodynamic interactions between urban structures and climate. He has pioneered methods for high-resolution land surface temperature analysis and green infrastructure performance in mitigating heat stress. Recent publications (2023-2025) highlight his work on PM2.5-bound PAH exposure , anthropogenic heat impacts in Beijing, and Asian plateau climate dynamics . Collaborative projects address urban heat stress , green roofs , and health-focused urban planning .

Heather Veilleuxمشاهده پروفایل

پژوهشگر ارشد

• Climate Change Biology
• Marine Biology
• Genomics
• +۳ مورد دیگر

Dr. Heather Veilleux is a Postdoctoral Research Fellow at the ARC Centre of Excellence for Coral Reef Studies (James Cook University) and the University of Alberta. Her research focuses on genomic and epigenetic mechanisms enabling coral reef fish to acclimate to climate change, with a special emphasis on transgenerational acclimation and molecular responses to warming. She employs next-generation sequencing, qRT-PCR, and environmental DNA (eDNA) techniques to study climate impacts on marine organisms. Her work bridges molecular biology and ecological adaptation, addressing critical questions about species resilience in a changing climate. Veilleux’s academic career includes a PhD from James Cook University (2015), followed by postdoctoral research at JCU and collaborations with King Abdullah University of Science and Technology (KAUST). She has also conducted eDNA studies to detect invasive species in Australian waters and Arctic grayling in Canada. Her teaching includes coordinating undergraduate labs in biochemistry and molecular ecology. Her research interests span climate change biology, marine genomics, epigenetics, and conservation biology. She has contributed to projects on thermal tolerance in corals, Arctic grayling habitat analysis, and synthetic musk toxicity in aquatic organisms. Veilleux’s interdisciplinary approach integrates fieldwork, molecular techniques, and computational analysis to advance understanding of climate adaptation in marine ecosystems.

Paulette Clancyمشاهده پروفایل

استاد

• Computational Materials Science
• Machine Learning for Materials Discovery
• Bayesian Optimization
• +۱۲ مورد دیگر

Paulette Clancy is the Edward J. Schaefer Professor in Engineering at the Whiting School of Engineering, Johns Hopkins University, where she leads a prominent research group in computational materials science. She is the director of research for the JHU Data Science and AI Initiative and associate director of the Johns Hopkins Center for Integrated Structure-Mechanical Modeling and Simulation (CISMMS), and a fellow of the Hopkins Extreme Materials Institute (HEMI). Education: Bachelor’s in Chemistry, Queen Elizabeth College, University of London (1974) DPhil in Physical Chemistry, Oxford University (1977) Postdoctoral research at Cornell University and London University Her research focuses on the atomic- and molecular-scale modeling of semiconductor materials, particularly organic and hybrid systems. Key areas include advanced organic materials (covalent organic frameworks, organic electronics), algorithm development (machine learning, Bayesian optimization, force fields), electronic materials (III-V semiconductors), and nucleation and crystal growth (perovskites, quantum dots). She develops physics-informed machine learning frameworks like PAL 2.0 to accelerate materials discovery. The recent publications highlight a strong trend in integrating machine learning (especially Bayesian optimization) with computational chemistry to model and predict material behavior during processing. Topics span perovskite crystallization, gallium nitride growth, polymer thermoelectrics, and quantum dot self-assembly, reflecting a broad impact in semiconductors , renewable energy materials , and nanomaterials . Scientific Awards and Honors: Fellow, Royal Society of Chemistry Fellow, American Institute of Chemical Engineers (AIChE) AIChE National Women’s Initiatives Mentoring Award Alice Cook Award (Cornell) Zellman Warhaft Award (Cornell) Clancy is a dedicated mentor, having advised numerous PhD and master’s students who have gone on to careers in academia and industry. Her group has received funding for AI-driven microelectronics training through a $2.7M NSF award. She is also a founding chair of Women in Science and Engineering at Cornell and a strong advocate for diversity in STEM. Labs and Teams: Clancy Research Group, JHU – focused on computational materials discovery Collaborator with Mitra Taheri’s group on real-time materials monitoring Director of Research, JHU Data Science and AI Initiative Associate Director, CISMMS Fellow, HEMI