جست‌وجوی استاد و پژوهشگر

• Transportation Systems
• Behavioral Modelling
• Machine Learning
• +۶ مورد دیگر

Rico Krueger is an Associate Professor in the Intelligent Transportation Systems Section at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on developing models, methods, and technologies at the intersection of behavioral modelling, machine learning, and simulation for human-centric and sustainable transport systems. He leads the IMMERSION project (2024–2029), funded by the ERC Starting Grant, which explores human decision-making through integrated choice and process data analysis. Before DTU, he was a postdoctoral researcher at EPFL (Switzerland) and holds a PhD in Civil and Environmental Engineering from UNSW Sydney. Education: PhD in Civil and Environmental Engineering, UNSW Sydney, Australia Postdoctoral Researcher, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland Research Interests: Rico’s work emphasizes innovative data collection methods like immersive virtual reality to study human behavior in mobility contexts. Key areas include travel demand forecasting, multimodal systems, mobility on demand, sustainability, and health impacts of transport policies. Awards: European Research Council (ERC) Starting Grant (2024–2029) Advising & Grants: Leads the IMMERSION project funded by ERC. His research integrates advanced algorithms and behavioral insights to improve transport system planning. No formal advisee list is provided in the text. Labs/Teams: Active in the Intelligent Transport Systems Section within DTU’s Transportation Division.

Abbas Heydarnooriمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence for Software Engineering (AI4SE)
• Software Analytics
• +۵ مورد دیگر

Abbas Heydarnoori is an Assistant Professor in the Department of Computer Science at Bowling Green State University (USA) since 2022, and previously held a faculty position at Sharif University of Technology (Iran) from 2012 to 2022. He earned his Ph.D. in Computer Science from the University of Waterloo (Canada, 2009), and M.Sc. and B.Sc. in Software Engineering from Sharif University of Technology (2001 and 1999). His research focuses on AI-driven software engineering (AI4SE/SE4AI), leveraging data science and AI to address challenges like fault localization, bug prediction, and code comprehension. He analyzes software repositories (e.g., GitHub, Stack Overflow) to improve developer productivity and software quality. He has contributed to tools like CrowdSummarizer and ExceptionTracer, and his work spans topics such as microservices architecture, API usage analysis, and code summarization. Teaching includes graduate/undergraduate courses on AI for Software Engineering, Database Systems, and Software Engineering. His service roles include editorial board membership at Science of Computer Programming , and PC membership in conferences like MSR, SANER, and FSE. His research group actively publishes on automated code analysis, documentation generation, and developer productivity tools, with a focus on empirical and data-driven approaches.

• Sinology
• Intellectual History of China
• Cultural History of China
• +۳ مورد دیگر

Margarete Darr is a Professor of Sinology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), holding the Chair for Sinology with a focus on the Intellectual and Cultural History of China. She is a recipient of the prestigious Alexander von Humboldt Professorship. Her office is located at Room 00.314, Hartmannstraße 14, D3, 91052 Erlangen. Research interests center on the intellectual and cultural history of China, combined with innovative applications of algorithms, predictive methodologies, and statistical analysis in humanities research. She bridges traditional Sinological studies with computational approaches, exploring how quantitative tools can illuminate historical and cultural phenomena. No academic articles were explicitly listed in the provided text. Advising and grant activities remain unspecified. She is affiliated with the Institute for Near Eastern and East Asian Languages and Civilizations at FAU, contributing to interdisciplinary research at the intersection of Asian studies and data-driven methodologies.

Jan-Willem van Groenigenمشاهده پروفایل

استاد

• Soil Biogeochemistry
• Nitrogen Cycle
• Phosphorus Cycle
• +۵ مورد دیگر

Prof. Jan-Willem van Groenigen is a full professor in the Department of Soil Biology at Wageningen University. He serves as Chair of the Editors-in-Chief of Geoderma and Subject Chair for Agriculture & Biological Sciences on Scopus's Content Selection and Advisory Board. His research focuses on soil biogeochemistry, emphasizing nitrogen and phosphorus cycles, and the role of soil fauna like earthworms in agricultural systems. He advocates for integrating natural processes with agricultural practices to enhance sustainability and mitigate climate change. Education: Not explicitly detailed in provided text, but holds a PhD in Soil Science or related field. Affiliations: Wageningen University, Geoderma leadership, Scopus CSAB. His research interests include understanding how soil organisms influence nutrient cycles in managed ecosystems, with a focus on carbon sequestration, greenhouse gas emissions, and sustainable agriculture. He has supervised 19 PhD students and over 100 MSc/BSc students, contributing to projects like phosphorus availability in manure and peat soil management. Prof. van Groenigen has received prestigious awards, including the Philippe Duchaufour Medal (2024) for integrating agricultural management with environmental science. He actively communicates research through media outlets and popular science platforms, emphasizing soil's role in global challenges.

• Machine Learning
• Bioinformatics
• Medical Imaging
• +۵ مورد دیگر

Paul J. Kennedy is a Professor at the University of Technology Sydney's Centre for Artificial Intelligence. He holds a PhD from the same institution (1999). His research focuses on machine learning applications in healthcare, bioinformatics, medical imaging, and data mining. Key areas include developing algorithms for genomic data analysis, healthcare pathway modeling, and edge-cloud frameworks for omics data. Education: PhD in Artificial Intelligence (1999, UTS). Research interests span machine learning, health informatics, and data compression. Notable work includes studies on administrative health records, lung nodule detection, and virtual reality-based cancer cohort analysis. He has co-authored over 100 publications across journals like BMC Bioinformatics, IEEE Transactions, and Artificial Intelligence in Medicine. Advising: Collaborates extensively with students/researchers but no explicit student list provided. Grants and labs: Active in interdisciplinary projects involving medical and computational teams, though specific grants are not detailed here.

Tivon Riceمشاهده پروفایل

استادیار

• Digital Art
• Experimental Media
• Computer Vision
• +۵ مورد دیگر

Tivon Rice is an Assistant Professor in DXARTS (Digital Arts and Experimental Media) at the University of Washington. His work critically examines digital culture's impact on representation, communication, and environmental systems. Rice holds a PhD from UW (2016) and an MFA in Sculpture (2006), with a BFA in Sculpture & Electronic Media (2000). He is a Fulbright Scholar (Korea, 2012) and collaborated with Google's Artists + Machine Intelligence program. Education: PhD, DXARTS, University of Washington, 2016 MFA, Sculpture, University of Washington, 2006 BFA, Sculpture & Electronic Media, University of Colorado, 2000 Research focuses on digital culture's poetics, emerging technologies, and environmental narratives. Projects use AI, 3D scanning, and experimental film to explore how new technologies shape visual communication and social systems. Recent exhibitions include venues in New York, Seoul, Berlin, and São Paulo. Awards: Fulbright Scholar Award (2012) Google Artists + Machine Intelligence Collaboration Grants and advising details are pending explicit mentions in texts. Affiliated with UW eScience Institute, exploring computational methods in artistic research.

• Machine Learning
• Data Science
• Social Sciences
• +۷ مورد دیگر

Prof. Dr. Markus Strohmaier holds the Chair of Data Science in Economics and Social Sciences at the University of Mannheim's Business School. His research focuses on applying machine learning and data science to understand socio-economic systems and human behavior, leveraging text, relational, and emerging data types. He teaches graduate courses and supervises theses in these areas. Research interests include algorithmic fairness, behavioral analysis via computational methods, and the societal implications of AI. Notable work addresses demographic representativeness in large language models, bias mitigation in rankings, and gender gaps in blockchain adoption. His team is located at L15, 3rd floor – Room 307 in Mannheim, adjacent to the central station. Collaborations span interdisciplinary topics like social media analysis, network dynamics, and computational social science. Key contributions include developing benchmarks for neural network similarity (Resi) and frameworks for measuring algorithmic fairness perceptions (FairCeptron). Research often bridges technical innovation with societal impact, addressing ethical challenges in AI and data-driven decision-making.

Minglun Gongمشاهده پروفایل

استاد

• Visual Computing
• Computer Graphics
• Computer Vision
• +۶ مورد دیگر

Dr. Minglun Gong is a Professor and Director of the School of Computer Science at the University of Guelph (since 2019). Previously, he served as Professor and Head of the Department of Computer Science at Memorial University of Newfoundland. He holds a Ph.D. from the University of Alberta (2003), M.Sc. from Tsinghua University (1997), and B.Engr. from Harbin Engineering University (1994). His research focuses on visual computing, including computer graphics, computer vision, visualization, image processing, and pattern recognition. He has authored over 150 referred papers and holds patents in the field. He is an Associate Editor for Pattern Recognition and IEEE Signal Processing Letters , and has received awards such as the Izaak Walton Killam Memorial Award and multiple best paper awards. Dr. Gong has advised numerous students, including Ph.D./M.Sc. candidates and visiting scholars. His lab's recent work includes UAV path planning for urban reconstruction, image stylization techniques, and 3D human pose estimation. He actively participates in academic service, including editorial roles, conference program committees, and administrative roles at multiple institutions. His teaching spans courses in image processing, computational photography, and technical communication. He is also involved in administrative committees, such as Graduate Studies and Promotion at Memorial University. Key research contributions include advancements in transparent object modeling, underwater 3D reconstruction, and image-to-image translation. His work emphasizes practical applications in fields like medical imaging, autonomous systems, and environmental modeling.

Andreu Casas Sallerasمشاهده پروفایل

مدرس

• Political Communication
• Public Policy
• Legislative Politics
• +۳ مورد دیگر

Andreu Casas Salleras is a Lecturer in Political Communication at Royal Holloway University of London, within the Department of Politics, International Relations and Philosophy. He is also a Faculty Associate at the Center for Social Media and Politics at New York University. He holds a PhD in Political Science from the University of Washington (2018). Prior roles include Assistant Professor at VU Amsterdam and Moore Sloan Research Fellowships at NYU's Center for Data Science. His research focuses on computational political science, examining social media's impact on collective action, policy-making, polarization, and content moderation by platforms. Key research areas include political communication dynamics, legislative politics (e.g., amendment processes), and computational methods (text-as-data, images-as-data). His work has been published in outlets like Science Advances and American Political Science Review , and he authored a book with Cambridge University Press. Funding sources include the European Research Council, NWO, and NSF. Current projects include a NWO-VENI grant on political biases in content moderation and a Horizon Europe-funded project on simulating media information environments. Dr. Casas has delivered invited talks on topics such as YouTube content moderation during the 2024 U.S. election and the geopolitics of social media deplatforming. His research contributes to UN Sustainable Development Goals related to education and societal resilience. He has no listed advisees but leads multiple research initiatives as Principal Investigator.

David E. Breenمشاهده پروفایل

استاد

• Biomedical Image Informatics
• Geometric Modeling
• Textile Modeling and Design
• +۱۲ مورد دیگر

David E. Breen is a Professor in the Department of Computer Science within the College of Computing & Informatics (CCI) at Drexel University. He leads the Geometric Biomedical Computing Group and is affiliated with the Metadata Research Center and the Center for Biological Discovery from Big Data. His research spans interdisciplinary domains including biomedical image informatics, geometric modeling, textile modeling, and bio-inspired self-organization algorithms. Education: PhD, Computer and Systems Engineering, Rensselaer Polytechnic Institute MS, Computer and Systems Engineering, Rensselaer Polytechnic Institute BA, Physics, Colgate University His research interests focus on computational methods for biomedical applications, including shape and image analysis for cancer diagnosis, 3D reconstruction of biological tissues, and video analysis of animal behavior. He also investigates geometric modeling techniques for textiles and self-organizing systems. His work integrates computer science with biology, medicine, and engineering to solve complex problems in biomedical computing. The recent publications highlight a strong trend in computational modeling of textiles, biomedical image informatics, and AI-driven data analysis. Key themes include geometric modeling of knitted fabrics, deep learning for medical image classification, agent-based modeling of cancer metastasis, and metadata generation for biological image collections. His work bridges fundamental geometric algorithms with practical applications in healthcare and digital archives. Scientific Awards: No specific awards mentioned in the provided text. Breen has advised numerous students and collaborators across multiple domains, particularly in biomedical computing and textile modeling. His research has been supported through affiliations with major centers and collaborations with institutions such as Johns Hopkins University and the Max Planck Institute. He has been involved in projects related to NSF Center for Visual & Decision Informatics and has contributed to over 100 technical publications. He leads the Geometric Biomedical Computing Group , which conducts research at the intersection of biology, medicine, engineering, and computer science. The group develops algorithms and software for geometry-related computing problems in biomedical applications. Collaborations include the Drexel Integrated Laboratory for Cellular Tissue Engineering, Dr. Dan Marenda's Lab, and Dr. Aleister Saunder's Lab in Drexel's Biology Department.

Andrea W. Luangrathمشاهده پروفایل

دانشیار

• Consumer Behavior
• Nonverbal Influence
• Sensory Marketing
• +۷ مورد دیگر

Andrea W. Luangrath is an Associate Professor of Marketing and Henry B. Tippie Research Fellow in the Tippie College of Business at the University of Iowa. She holds a PhD in Marketing from the University of Wisconsin–Madison and teaches consumer behavior at both undergraduate and doctoral levels. Research Interests: Nonverbal social influence in consumer contexts Haptics and sensory marketing Textual paralanguage and consumer linguistics Psychological ownership Virtual reality and digital experiences Her recent research explores how digital cues mimic physical sensations, how language conveys nonverbal emotion, and how consumers develop feelings of ownership. Her work has been published in premier journals including the Journal of Marketing Research , Journal of Consumer Research , and Journal of Consumer Psychology . She has received numerous awards, including the C.W. Park Young Contributor Award (2017), the Early Career Faculty Research Award (2021), and the Mid-Career Faculty Scholar Award (2025–2028). She is also an MSI Young Scholar (2023). Mid-Career Faculty Scholar Award - University of Iowa (2025–2028) MSI Young Scholar, Marketing Science Institute (2023) Early Career Faculty Research Award - Tippie College of Business (2021) Cannon Faculty Scholarship for Teaching Excellence (2020) Highly Cited Paper Award - Journal of Consumer Psychology (2017) C.W. Park Young Contributor Award (2017) Park Outstanding Contribution to JCP Award (2016) She has secured research funding through the Tippie Research Excellence Grant (2019) and served as Director of Graduate Studies in Marketing from 2022 to 2025. She is actively involved in the academic community as an Editorial Board Member for the Journal of Marketing Research (from 2025) and Journal of Consumer Psychology (from 2022). Her lab focuses on behavioral experimentation in consumer psychology, leveraging both virtual environments and textual analysis tools to study nonverbal influence.

Shengwu Liمشاهده پروفایل

استاد

• Behavioral Economics
• Oncology
• Molecular Biology
• +۳ مورد دیگر

Shengwu Li is a Professor of Economics at Harvard University’s Department of Economics, affiliated with the Faculty of Arts and Sciences (FAS). He previously served as a Junior Fellow of the Society of Fellows. His research spans behavioral economics theory and molecular oncology, focusing on mechanisms of cancer drug resistance, targeted therapies, and epigenetic regulation in tumors. He has contributed to understanding KRAS inhibition resistance, HER2 exon 20 insertion mutations, and synergistic immunotherapies combining epigenetic modifiers with immune checkpoint blockade. Education details not explicitly listed in the text. Research interests include behavioral economic models of decision-making under uncertainty, coupled with experimental studies in cancer biology. His work bridges theoretical economics and translational oncology, addressing challenges in precision medicine and drug development. Recent studies explore therapeutic efficacy of CDK7 inhibitors in pancreatic cancer and mechanisms of adeno-to-squamous transition in lung tumors. Notable achievements include the Junior Fellow distinction, highlighting early-career excellence in interdisciplinary research. Collaborative projects involve preclinical models of tumor organoids and ex vivo patient-derived spheroids to identify combination therapies for HER2-mutant lung cancers.

• Biofluid Dynamics
• Biomedical Engineering
• Biomechanics
• +۷ مورد دیگر

Joseph van Batenburg-Sherwood is a Lecturer in Biofluid Mechanics at Imperial College London's Department of Bioengineering (Faculty of Engineering). He leads the vBS Lab and holds a Royal Academy of Engineering Research Fellowship (2017–2022). His research focuses on biofluid dynamics, particularly in microvascular diseases, intraocular pressure regulation, and ventilator design for resource-limited settings. Education: MEng in Mechanical Engineering, King’s College London (2005–2009) PhD in Biofluid Dynamics, University College London (2009–2013) Research interests include experimental techniques for microscale biological flow analysis, with specializations in: Red blood cell dynamics in microvascular diseases Aqueous humor flow mechanics in glaucoma Ventilator design optimization Benchtop perfusion systems (e.g., iPerfusion) Publications emphasize translational research in ocular fluid dynamics and medical device innovation. Notable contributions include consensus guidelines for outflow facility measurement protocols and MMP-3-based glaucoma therapies. Advising: No listed advisees. Grants: Unspecified in provided text. Labs: vBS Lab at Imperial College London's White City Campus.

Neil Leonardمشاهده پروفایل

استاد

• Sound Art
• Experimental Music
• Multimedia Performance
• +۷ مورد دیگر

Neil Leonard is a Professor at Berklee College of Music and the founding Artistic Director of the Berklee Interdisciplinary Arts Institute. He is affiliated with the Department of Electronic Production and Design (EPD) within the College of Arts and Sciences. His artistic and academic work bridges music, technology, and interdisciplinary collaboration. Ph.D. or equivalent terminal degree in composition or sound art (inferred from academic rank and output) Extensive international residency and fellowship experience Leonard's research and artistic practice centers on sound art, electroacoustic composition, and multimedia performance . He explores immersive multichannel audio, live electronics, and collaborations with visual artists, dancers, and filmmakers. His work investigates the resonance of cultural memory, urban soundscapes, and historical acoustics. He integrates technology and philosophy, often drawing from astronomy, Plato, and intercultural exchange. His recent works, including Matanzas Sound Map (Tate Modern, 2025), Sonance for the Precession , and For Kounellis , reflect a trend toward site-specific, durational sound installations that merge scientific concepts with poetic expression. These pieces utilize field recordings, algorithmic processing, and spatial audio to create immersive environments. His scientific and artistic honors include: Fulbright Specialist Award (2016) Distinguished Faculty Award, Berklee (2011) International CubaDisco Award (2015) Rauschenberg Residency (2016) Sacatar Institute Fellow (2023) MIT Art, Culture, and Technology affiliate U.S. State Department Fulbright Specialist Roster (2013–present) Leonard is deeply committed to mentoring students, particularly in refining portfolios and developing lifelong learning strategies. He emphasizes time management as a compositional skill and encourages adaptability in the evolving music industry. He has led major collaborative projects such as The Berklee Sessions with Robin Rimbaud (Scanner) and has performed with renowned artists including Vijay Iyer, Rudresh Mahanthappa, and Los Muñequitos de Matanzas. He co-founded and leads the Berklee Interdisciplinary Arts Institute , fostering cross-departmental collaborations and innovative performance practices. His work continues to be exhibited globally, from Documenta and Venice Biennale to Mass MoCA and the Peabody Essex Museum.

Ajay Kapurمشاهده پروفایل

استاد

• Human-Computer Interaction
• Artificial Intelligence in Music
• Mechatronic Musical Instruments
• +۵ مورد دیگر

Ajay Kapur serves as Associate Provost for Creative Technologies and Director of the Music Technology program (MTIID) at California Institute of the Arts. With an interdisciplinary background spanning computer science, electrical engineering, and music, he bridges technological innovation with artistic expression through leadership in academic programs and entrepreneurial ventures. His research centers on symbiotic human-machine interaction for artistic creation, particularly exploring computer improvisation with humans through Indian Classical music frameworks. This manifests in developing programmable mechatronic instruments, sensor-based interfaces, and AI-driven systems for musical expression. His work extends traditional techniques while creating new performance paradigms like the globally touring Machine Orchestra and KarmetiK Orchestra. Kapur's recent publications reveal evolving expertise from music robotics to blockchain applications, with significant focus on NFT systems, tokenization, and immersive environments. His scholarly output demonstrates consistent innovation at the intersection of artistic practice and emerging technologies. As an educator and entrepreneur, he has co-founded companies in edtech and AI while authoring foundational texts like Digitizing North Indian Music and Introduction to Programming for Musicians and Digital Artists . His performances at venues including LACMA, Singapore Arts Festival, and the 2010 Winter Olympics showcase practical applications of his research.