جست‌وجوی استاد و پژوهشگر

Todd Oakleyمشاهده پروفایل

استاد

• Evolution
• Bioluminescence
• Convergent Evolution
• +۷ مورد دیگر

Todd Oakley is a Professor and Department Chair of the Department of Ecology, Evolution, and Marine Biology (EEMB) at the University of California, Santa Barbara (UCSB). He joined the faculty in 2003 and currently serves as Vice Chair of resources for EEMB, while also being a member of UCSB’s Marine Science Institute. His academic career includes a BS and MS from the University of Wisconsin-Milwaukee, a PhD in Biological Sciences from Duke University, and an NIH-NRSA postdoctoral fellowship at the University of Chicago. His research focuses on the origins and evolution of complex traits, particularly visual systems and bioluminescence in marine invertebrates. The lab investigates four main paths: (1) the evolutionary origins of vision and light-interacting genes, (2) diversification of arthropod eye designs, (3) convergent evolution in mollusks like octopuses and chitons, and (4) genetic drivers of ecological interactions in algae relevant to biofuel production. Notable tools developed include the Osiris Galaxy workflow for phylogenomic analysis and the CoMET plug-in for character evolution modeling. Dr. Oakley has advised over 17 students, including graduate and undergraduate researchers, many of whom have pursued postdoctoral or academic roles. His scientific contributions include the NIH-NRSA postdoctoral fellowship and over 119 peer-reviewed publications, often leveraging phylogenetics and genomics to address evolutionary questions. Collaborators include institutions like University of Chicago, UC-Davis, and international centers such as the University of Tartu and Museum Victoria. The lab emphasizes interdisciplinary approaches, combining fieldwork, molecular techniques, and computational biology.

Konstadinos Gouliasمشاهده پروفایل

استاد

• Transportation Planning
• GIScience
• Activity-Based Modeling
• +۵ مورد دیگر

Konstadinos (Kostas) Goulias is a Professor of Transportation in the Department of Geography at the University of California, Santa Barbara (UCSB), where he has served since 2004. Previously, he held academic positions at Penn State University from 1991 to 2004, including roles as Associate and Full Professor of Transportation Engineering. His research focuses on transportation systems planning, travel behavior dynamics, activity-based modeling, GIScience, and spatial analysis of transportation data. **Education**: Ph.D. in Civil Engineering (Transportation), University of California, Davis, 1991 M.S. in Civil Engineering, University of Michigan, Ann Arbor, 1987 Laurea Magistrale in Engineering, University of Calabria, Italy, 1986 **Research Interests**: Transportation demand modeling and microsimulation Activity-travel behavior analysis Spatiotemporal analysis of mobility using big data GIScience applications in transportation Policy implications of emerging technologies (e.g., autonomous vehicles) **Key Contributions**: Co-founder and Editor-in-Chief of Transportation Letters Principal Investigator of $6.5M in research projects Authored/edited three books and over 350 peer-reviewed publications Led the development of the SimAGENT microsimulation framework Directed the GeoTrans Laboratory at UCSB since 2007 **Awards**: Pyke Johnson Award (2021, 2016) Best Paper Award (2021) Chair of TRB committees on traveler behavior and activity-based approaches **Grants/Students**: Supervised multiple graduate students in transportation and geography Managed projects with sponsors including USDOT, state agencies, and international organizations **Labs/Teams**: GeoTrans Laboratory: Focused on smart city planning and transportation innovation Collaborations with institutions globally, including Australia, Europe, and Qatar

Ji Shuiwangمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence for Science and Engineering
• Language Models and Agents
• +۳ مورد دیگر

Shuiwang Ji is a Professor and Truchard Family Endowed Chair in the Department of Computer Science & Engineering at Texas A&M University, where he also holds Presidential Impact Fellow and Chancellor EDGES Fellow titles. He specializes in machine learning, AI for science/engineering, and language models/agents. His research bridges theoretical advances and practical applications in materials science, quantum chemistry, and biomedical engineering. Education: Ph.D. in Computer Science from Arizona State University (2010). Research focuses on equivaraint neural networks for symmetry-aware learning, graph-based molecular modeling, and generative AI for scientific discovery. He develops algorithms that integrate physics principles with deep learning, addressing challenges in materials design, PDE solving, and biomolecular structure prediction. Publications emphasize symmetry-aware architectures (e.g., equivariant Fourier neural operators), efficient interatomic potential computations, and diffusion models for protein/DNA design. Recent work explores trustworthiness in LLMs and causal reasoning in graph neural networks. Awards include NSF CAREER Award (2014), IEEE Fellow (2023), and Texas A&M teaching excellence awards. His work has been recognized in top venues like NeurIPS, ICML, and ICLR. His research group collaborates on projects funded by NSF, NIH, and industry partners, advancing AI applications in healthcare, robotics, and environmental science.

Sheraz Ahmedمشاهده پروفایل

دانشیار

• International Finance
• Asset Pricing
• Factor Investing
• +۱۰ مورد دیگر

Sheraz Ahmed is an Associate Professor (Tenure Track) at LUT Business School, Lappeenranta University of Technology, Finland, where he also serves as Academic Director of the Master’s Degree Program in Strategic Finance and Analytics. He holds a Doctor of Science in Financial Economics from Hanken School of Economics and has been affiliated with LUT since 2011. Doctor of Science, Financial Economics and Economic Statistics, Hanken School of Economics (2004–2009) Master of Science, Computational Finance, Hanken School of Economics (2001–2003) His research focuses on international finance, asset pricing, factor investing, portfolio management, high-frequency trading, corporate governance, and emerging markets . He employs advanced econometric techniques to analyze financial market behavior, market efficiency, liquidity risk, and the impact of governance reforms. His work frequently appears in journals covering finance, accounting, and economics. His recent publications explore topics such as the adaptive market hypothesis in cryptocurrencies, dynamic dependence between ETFs and crude oil, liquidity risk pricing, and financial integration in CIVETS and African markets. His research demonstrates a consistent focus on empirical analysis of financial markets in transitional and emerging economies. Sheraz Ahmed is an active peer reviewer for journals including Applied Economics, Journal of Economic Surveys, and Journal of Forecasting . Member, European Finance Association (2014–present) He has supervised over 80 master’s theses and multiple doctoral students in finance and analytics. He teaches financial theory, valuation of financial securities, and empirical research in finance at the master’s level. He is affiliated with the Department of Finance and Statistics within the School of Business and Management at LUT.

Anna-Karin Tornbergمشاهده پروفایل

استاد

• Numerical Analysis
• Fluid Dynamics
• Boundary Integral Methods
• +۳ مورد دیگر

Anna-Karin Tornberg is a Professor in Numerical Analysis at the Department of Mathematics, KTH Royal Institute of Technology. She holds positions as Vice Chair of the Department of Mathematics and previously served as Head of the Numerical Analysis division (2011–2023). Her research focuses on numerical methods for PDEs, particularly boundary integral methods for fluid flows involving particles and drops. She is active in the Linne FLOW Centre and Swedish e-Science Research Center (SeRC). Key roles include membership in the Royal Swedish Academy of Engineering Sciences (IVA), Royal Academy of Sciences, and receipt of awards like the Göran Gustafsson Prize (Mathematics, 2014). She has advised numerous PhD students and postdocs, including current supervisees Anna Broms, David Krantz, and Emanuel Ström. Her work spans theoretical, computational, and applied fluid dynamics with emphasis on microfluidics and high-accuracy numerical techniques. Education includes a PhD in Numerical Analysis from KTH (2000) followed by postdoctoral positions at NYU’s Courant Institute. Promoted to Full Professor at KTH in 2012. Service roles include membership in KTH’s University Board, Faculty Council, and editorial roles at Advances in Computational Mathematics and BIT Numerical Mathematics . Active in international conferences, delivering plenary/invited lectures at ICIAM, ECM, and ICM. Research group projects include development of fast numerical methods for microfluidics and molecular dynamics simulations. Current openings for PhD candidates in numerical methods for non-elliptic PDEs in time-dependent domains. Her lab collaborates on high-performance computing and fluid-structure interaction problems.

• Metabolomics
• Analytical Chemistry
• Plant-Microbe Interaction
• +۲ مورد دیگر

Rainer Schuhmacher is a Full Professor for Plant and Microbe Metabolomics at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Department of Agricultural Sciences and the Institute of Bioanalytics and Agro-Metabolomics in Tulln an der Donau. His research focuses on metabolomics, analytical chemistry, and plant-microbe interactions, with emphasis on fungal secondary metabolites, mycotoxin resistance, and environmental stress responses in crops. He leads projects funded by the Austrian Science Fund (FWF), European Commission, and national agencies. Research interests span: Metabolomic profiling of plant-pathogen interactions (e.g., Fusarium -wheat systems) Stable isotope-assisted techniques for metabolic pathway analysis Cold stress mitigation in plants using Antarctic bacteria Development of computational tools for untargeted metabolomics data processing His work integrates analytical chemistry, bioinformatics, and molecular biology to study metabolic crosstalk in agricultural systems. Awards include the Fritz-Feigl-Preis (2012) and Dr.-Wolfgang-Houska-Preis (2005). He has supervised multiple PhD projects and leads the Plant-Microbe Metabolomics group, managing core metabolomics platforms and international collaborations. Key projects: Chemical crosstalk in mycoparasitic interactions (FWF) Metabolomics of cold stress tolerance mediated by psychrotolerant bacteria Extension of metabolomics platforms for plant-pathogen studies

• Tumor Microenvironment
• Magnetic Resonance Imaging (MRI)
• Quantitative Imaging Biomarkers
• +۵ مورد دیگر

Professor Sungheon Gene Kim holds a faculty position at the Weill Cornell Medicine Graduate School of Medical Sciences within the Department of Radiology . His research focuses on quantitative MRI methodology for oncological applications , particularly in breast cancer and head and neck cancer . Kim's lab develops advanced dynamic contrast-enhanced MRI (DCE-MRI) and diffusion MRI (dMRI) techniques to assess tumor microenvironment and treatment response . Key research areas include: Tumor vascular properties via 3D UTE-GRASP MRI Cellular microstructural analysis through POMACE framework Adipose-tissue cancer interaction via MR spectroscopic imaging His lab has received continuous funding from the National Cancer Institute (R01CA219964, UG3/UH3CA228699, R01CA160620). Recent publications demonstrate technical advancements in ultrafast MRI reconstruction , deep learning-enhanced perfusion analysis , and multi-parametric tumor characterization . Collaborations with the National Institutes of Health Quantitative Imaging Network have produced novel cellular water exchange rate measurements that correlate with patient survival outcomes .

Stefan Katzenbeisserمشاهده پروفایل

استاد

• Cybersecurity
• Embedded Systems Security
• Critical Infrastructure Security
• +۶ مورد دیگر

Stefan Katzenbeisser is a Professor at the Chair of Computer Engineering, University of Passau, focusing on cybersecurity in embedded systems, critical infrastructures, and technical data protection. He serves as spokesperson for the Bavarian-funded research cluster ForDaySec and contributes to the DFG Review Board for Security and Dependability. Research areas: Automotive cybersecurity, railway security, hardware-based security (PUFs), post-quantum cryptography Key projects: RESURREC (autonomous vehicle security), FINESSE (secure transportation sensors), 6G-RIC (future mobile networks) His work spans both theoretical and applied cybersecurity, with collaborations in industry and interdisciplinary fields. Recent publications highlight innovations in secure mobility and critical infrastructure protection.

Ben Liangمشاهده پروفایل

استاد

• Networked Systems
• Mobile Communications
• Distributed Machine Learning
• +۴ مورد دیگر

Professor Ben Liang is a faculty member at the Department of Electrical and Computer Engineering , University of Toronto, holding the L. Lau Chair . He has served on editorial boards of IEEE Transactions on Mobile Computing , IEEE Transactions on Wireless Communications , and Wiley Security and Communication Networks . His research focuses on networked systems , mobile communications , and distributed machine learning , with applications in wireless network virtualization, edge computing, and resource optimization. He explores stochastic scheduling , computation-communication co-design , and multi-resource fair allocation . Key publication trends: Wireless federated learning (2024-2025) Network virtualization and MIMO systems (2022-2025) Online distributed optimization (2023-2025) Stochastic resource management (2020-2024) Scientific Awards: Fellow of IEEE Best Paper Award, ACM MSWiM 2013 INFOCOM 2010 Finalist Ontario ERA Award 2007 IFIP Networking 2005 Best Paper Intel Foundation Graduate Fellowship 2000 Polytechnic University valedictorian 1997 Affiliated with IEEE , ACM , and Tau Beta Pi , he teaches courses like ECE368: Probabilistic Reasoning and ECE421: Machine Learning , emphasizing stochastic networks and random processes .

Vaishnav Krishnanمشاهده پروفایل

دانشیار

• Epilepsy
• Neuropsychiatry
• Mouse Models of Epilepsy and Autism
• +۶ مورد دیگر

Vaishnav Krishnan, M.D., Ph.D., is an Associate Professor at Baylor College of Medicine with joint appointments in the Department of Neurology, Neuroscience, and Psychiatry and Behavioral Sciences . He also holds an Adjunct Associate Professor position in Electrical and Computer Engineering at Rice University. As a physician-scientist, he leads the Laboratory of Epilepsy and Emotional Behavior , focusing on the neurobiological mechanisms linking epilepsy to psychiatric comorbidities. Education: BS in Neuroscience and Chemistry, New York University (2003) MD-PhD in Behavioral Neuroscience and Molecular Neuroplasticity, UT Southwestern Medical Scientist Training Program (2010) Internship and Residency in Internal Medicine and Adult Neurology, Parkland Memorial Hospital (2011) and Beth Israel Deaconess Medical Center (2014) Postdoctoral Fellowship in Seizures and Autism-Related Behavior, Beth Israel Deaconess Medical Center (2016) His research employs genetically valid mouse models and home-cage behavioral monitoring to study interictal behavioral derangements, using EEG and wearable devices to translate findings to humans. His work has been supported by grants from NINDS , the American Epilepsy Society , Gulf Coast Center for Precision Health , and the Mike Hogg Fund . He has received awards such as the NINDS K08 Career Development Award and American Epilepsy Society Fellow . The Krishnan Lab has published extensively on epilepsy spectrum disorders , circadian and ultradian rhythms , and seizure prediction algorithms , with recent studies in Journal of Comparative Neurology , Brain Communications , and Epilepsia . He collaborates with epilepsy-focused labs, including those of Dr. Jeffrey Noebels and Dr. Berge Minassian. Scientific Awards and Recognitions: Outstanding Resident Teaching Award (Harvard Medical School, 2013) NINDS R25 Award (2014-2015) Clinical Research Training Fellowship in Epilepsy (American Academy of Neurology, 2016-2018) Mentored Clinical Scientist Research Career Development Award K08 (NINDS, 2019-2024) Junior Investigator Award (American Epilepsy Society, 2020-2021) Mike Hogg Fund Award (2021-2022) Gulf Coast Center for Precision Health Pilot Award (2022-2023) Fellow of the American Epilepsy Society (2022) Lab Members and Trainees: The lab includes current researchers like Medical Students Vanuli Arya and Anna Norman , Research Technician Saifina Karedia , and Postdoctoral Associate Arindam Mazumder . Former trainees include Paarth Kapadia (MD, BCM 2023) and Anney Tuo (Rice B.S., now in medical school), among others pursuing careers in medicine, research, and engineering.

Philip Wadlerمشاهده پروفایل

استاد

• Theoretical Computer Science
• Functional Programming
• Programming Language Foundations
• +۶ مورد دیگر

Philip Wadler is Professor of Theoretical Computer Science at the University of Edinburgh and Senior Research Fellow at IOHK. He is an ACM Fellow, Fellow of the Royal Society, and Fellow of the Royal Society of Edinburgh. His work spans programming language design, type systems, and formal verification, with significant contributions to Haskell, Java, and XQuery. He has held leadership roles in ACM SIGPLAN and served on editorial boards for major journals. Research Interests: Wadler's research focuses on the foundations of programming languages , including Gradual and session typing Language-integrated query Functional and logic programming XML data models Parametricity and free theorems Verification of smart contracts Publication Trends: Recent articles emphasize type safety, formal verification, and blockchain applications. Key themes include gradual typing (blame calculus), session types for concurrency, and logical foundations of programming. His 2015–2025 papers show sustained focus on type theory and language design . Awards & Recognition: POPL Most Influential Paper (2003 for 1993 work) SIGPLAN Distinguished Service Award Best Paper SBMF 2018 Royal Society-Wolfson Fellowship (2004–2009) ACM Fellow (2007) Fellow of Royal Society of Edinburgh (2005) Advising & Grants: He has supervised numerous PhD students in programs like the Centre for Doctoral Training in Pervasive Parallelism. His EPSRC Programme Grant "From Data Types to Session Types" (2013–2020) funded major advances in concurrency theory. Current work with IOHK explores blockchain verification using Haskell-based Plutus.

Zhenghao Chenمشاهده پروفایل

مدرس

• Computer Vision
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Dr. Zhenghao Chen is a Lecturer in Data Science at the University of Newcastle, affiliated with the School of Information and Physical Sciences. He earned his Ph.D. from the University of Sydney in 2022, following a B.Eng. H1 degree from the same institution in 2017. Prior to his current position, Dr. Chen served as a Postdoctoral Research Fellow at the University of Sydney (2022-2024), a Research Engineer at TikTok (2024), and as a Visiting Research Scientist at Microsoft Research and Disney Research (2022-2023). Dr. Chen's educational background includes: Doctor of Philosophy, University of Sydney (2022) Bachelor of Information Technology (B.Eng. H1), University of Sydney (2017) Dr. Chen's research spans multiple domains within artificial intelligence, with particular expertise in Computer Vision, Natural Language Processing, and Machine Learning. His work in Generative AI has garnered significant recognition, with applications in both academic and industrial settings. His research interests are reflected in his Fields of Research percentages: Deep Learning (30%), Computer Vision (30%), Natural Language Processing (20%), and Multimodal Analysis and Synthesis (20%). His publications in top-tier venues like CVPR, ICCV, ECCV, and journals like IEEE TPAMI demonstrate the breadth and impact of his work. Analysis of Dr. Chen's recent publications (2022-2025) reveals a consistent focus on neural compression techniques, 3D perception, and multimodal AI systems. His work spans medical imaging (CXR bone suppression), video compression, point cloud processing, and neural surface reconstruction. A notable trend is his exploration of efficient AI systems that work well under resource constraints, as evidenced by his involvement in the EMCLR workshop. His research often bridges theoretical advances with practical applications across multiple domains. Dr. Chen has received several prestigious awards: Microsoft Research Asia StarTrack Fellowship (2025) ACM SIGMM Award for Outstanding PhD Thesis in Multimedia Computing (2024) Australia Government Research Training Program (RTP) Fellowship (2019) Google Australia Prize for Excellence in Computer Science (2017) Dr. Chen is actively involved in the academic community, serving on the Program Committee for major AI conferences including CVPR, ICCV, ECCV, SIGGRAPH, AAAI, and others. He also organizes workshops in Multimedia and ICCV conferences, and serves as a reviewer for prestigious journals. His teaching responsibilities include courses on Intelligent Visual Signal Understanding, Video Intelligence and Compression, Database and Information Management, and Computing Fundamentals at both the University of Sydney and University of Newcastle.

Javier Sánchez Cañizaresمشاهده پروفایل

استاد

• Science and Religion
• Philosophy of Nature
• Quantum Mechanics
• +۵ مورد دیگر

Javier Sánchez Cañizares is a Spanish physicist, theologian, Catholic priest, and full professor at the University of Navarra since 2022. He works in the Mind-Brain (MB) Group at the Institute for Culture and Society (ICS) and leads the Science, Reason and Faith (CRYF) Group . He holds two Ph.D.s: one in Physics from Universidad Autónoma de Madrid (1999) and another in Theology from Pontifical University of the Holy Cross (2006). Education Ph.D. Physics, Universidad Autónoma de Madrid (1999) Ph.D. Theology, Pontifical University of the Holy Cross (2006) Research Interests : His work bridges science and religion, focusing on the philosophy of nature , quantum mechanics , and interdisciplinary studies between physics, theology, and ethics. He explores emergence in complex systems , integrated information theory , and causation in natural processes. Awards : Expanded Reason Award (2018) for Universo singular Projects : He directed the Science and Religion in Spanish Schools project (2018-2021) funded by the John Templeton Foundation. He is co-editor of the journal Scientia et Fides and author of Naturaleza creativa (2018).

Thomas S. Grucaمشاهده پروفایل

استاد

• Prediction Markets
• Marketing/Finance Interface
• Healthcare Analytics
• +۲ مورد دیگر

Thomas S. Gruca serves as the George Daly Professor in Marketing and Director of the Iowa Electronic Markets at the University of Iowa's Tippie College of Business. His interdisciplinary work bridges marketing, finance, and healthcare through innovative prediction market applications. Education PhD in Decision and Information Sciences, University of Illinois Urbana-Champaign MBA in Management Information Systems, University of Illinois Urbana-Champaign BS in Mathematics and Computer Science, University of Illinois-Chicago His research centers on prediction markets for political and healthcare forecasting, with recent work analyzing geopolitical biases , anti-incumbency effects , and rural healthcare access disparities . This intersects with his expertise in marketing/finance interface phenomena like brand equity measurement and consumer behavior modeling in casino gaming. Analysis of his 15 most recent publications reveals three dominant research streams: (1) Election forecasting through Iowa Electronic Markets (35% of output), (2) Rural healthcare access modeling (27%), and (3) Marketing analytics including brand equity and consumer behavior (38%). His work consistently appears in top journals like Journal of Marketing , International Journal of Forecasting , and PS: Political Science & Politics . Scientific Awards 9-time recipient of MBA Marketing Professor of the Year (2006-2019) President & Provost Award for Teaching Excellence (2018) Iowa MBA Instructor of the Year - Core (2014) Gruca has secured significant external funding including an NSF grant ($300,000) for Active Learning in Undergraduate Education Using Iowa Electronic Markets (2000-2003) and a US Department of Education grant for Enhancing Economic Literacy (1997-2000). His leadership roles include Faculty Director of the MBA Marketing Career Academy (2008-2019) and PhD Program Director for Marketing (2008-2014). He directs the Iowa Electronic Markets (IEM), a real-money prediction market used globally for election and economic forecasting research, which serves as both a research platform and teaching tool for over 10,000 students annually.

Stefanie Beckerمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Neuroscience
• Attention Research
• +۸ مورد دیگر

Associate Professor Stefanie Becker is a cognitive psychologist at the School of Psychology, University of Queensland , where she has been employed since 2007. Her research focuses on attention, visual search, and the relational account of attentional guidance using EEG, fMRI, and eye-tracking. She was awarded a PhD in Cognitive Psychology from the University of Bielefeld (Germany) in 2007, receiving the National German Dissertation Award. Education: PhD in Cognitive Psychology/Experimental Psychology, University of Bielefeld, Germany (2007) Research Interests: Relational account of attention (guidance by relative features such as 'reddest', 'darkest') Emotion and attention dynamics (e.g., processing of emotional faces) Inattentional blindness and awareness Visual working memory and attentional interference Neural mechanisms of visual search Article Trends: Her recent work (2023-2025) explores how relational features guide attention independently of context, the role of consciousness in emotional face capture, and interactions between attentional selection and visual working memory. Earlier studies (2016-2022) investigate EEG clustering techniques, spatial attention modulation by task-relevancy, and the balance between bottom-up and top-down processes in visual search. Scientific Awards: National German Dissertation Award (2007) UQ Postdoctoral Research Fellowship (2009-2018) Supervision: She supervises and has completed several PhD and Master’s projects on attentional templates, emotional face processing, visual working memory, and sensory substitution. Students include Aimee Martin, James D. Retell, and others. Labs/Teams: Becker leads the Centre for Perception and Cognitive Neuroscience at UQ, collaborating on interdisciplinary projects involving cognitive psychology, neuroscience, and computational methods.