جست‌وجوی استاد و پژوهشگر

Dilce Tanriverdiمشاهده پروفایل

پژوهشگر

• Visual Perception
• Psychophysics
• Eye Movement Analysis
• +۲ مورد دیگر

Dilce Tanriverdi is a researcher at the University of Groningen's Faculty of Medical Sciences, affiliated with the Perceptual and Cognitive Neuroscience (PCN) department. Her work focuses on visual perception, psychophysics, and ocular motor dynamics, particularly in relation to conditions like preperimetric glaucoma. University: University of Groningen (UMCG) School: Faculty of Medical Sciences Department: Perceptual and Cognitive Neuroscience (PCN) Academic Rank: Researcher Tanriverdi's research explores how visual crowding, eye movements, and contextual motion affect perception. She develops rapid assessment tools for peripheral vision and investigates the interplay between motor actions and visual prediction mechanisms. Her studies often integrate psychophysics with advanced eye-tracking methodologies. Recent publications address spatial-temporal properties of visual crowding (2025), glaucoma-related perceptual changes (2024), and the influence of smooth pursuit eye movements on contrast sensitivity (2021). Her work spans neuroscience, psychology, and clinical vision science. She has collaborated with institutions like University Hospital Magdeburg, participating in external research activities (2023) related to ophthalmological studies.

Spencer Goidelمشاهده پروفایل

استادیار

• Public Opinion
• Voting Behavior
• Elections
• +۴ مورد دیگر

Spencer Goidel serves as an Assistant Professor in the Department of Political Science at Auburn University, where he conducts research at the intersection of public opinion, voting behavior, elections, and political communication. His scholarly work investigates how political institutions, objective conditions, subjective evaluations, media, and communication technologies shape American voter behavior and attitudes. Dr. Goidel earned his PhD from Texas A&M University's Department of Political Science and completed his undergraduate studies at the University of Louisiana at Lafayette. His academic journey has positioned him as a specialist in contemporary American political behavior with particular focus on partisan realignment dynamics. His research portfolio reveals a strong thematic focus on nostalgia in politics, candidate proliferation effects, corporate political activity, and the relationship between identity politics and voting behavior. Recent publications demonstrate his expertise in analyzing how an abundance of electoral choices affects voter turnout, the connection between nostalgia and authoritarian tendencies, and how racial resentment and hostile sexism influence perceptions of corporate political engagement. His work often employs sophisticated survey methodology to unpack complex relationships between political attitudes and voting behavior. Goidel's scholarly output has appeared in prominent political science journals including American Politics Research, Business and Politics, and Research & Politics. His research on choice overload in crowded primary elections and the demobilizing effects of candidate abundance represents a significant contribution to electoral studies. His 2024 work examining whether nostalgia represents longing for the 'good old days' or for a more racist and sexist past has generated considerable scholarly discussion. As an educator, Goidel teaches courses on American Government, Political Participation, State and Local Politics, and Campaigns and Elections. He maintains regular office hours (Monday and Wednesday, 12:00-2:00 pm) and is accessible to students via his university email and phone number. His media presence demonstrates his commitment to public scholarship, with frequent contributions to major news outlets analyzing contemporary political phenomena, particularly regarding Trump-era politics, polling methodology, and electoral dynamics.

S.C. Hilleمشاهده پروفایل

استادیار

• Biomathematics
• Dynamical Systems
• Mathematical Modeling of Biological Processes
• +۶ مورد دیگر

Sander Hille is an Assistant Professor in the Department of Mathematics at Leiden University's Faculty of Science, specializing in biomathematics and dynamical systems. He maintains active affiliations with the Plant BioDynamics Laboratory (PBDL) within the Institute of Biology Leiden (IBL) and has collaborated extensively with the microbiology group of Oscar Kuipers at the Rijksuniversiteit Groningen through the NWO-funded BetNet project. His educational background includes a PhD in Canonical Representations from Leiden University (1999) under supervisor G. van Dijk. His research spans both theoretical mathematics and biological applications, with particular focus on: Dynamical systems in spaces of measures Stochastic perturbations of deterministic systems Mathematical modeling of biological transport processes Population dynamics and gene regulatory networks Analysis of signaling networks in biological systems Hille's publication record shows consistent output in high-impact mathematical journals, with recent work focusing on measure-valued solutions to transport equations, Markov operators, and applications to plant biology. His research demonstrates strong interdisciplinary connections between pure mathematics and life sciences, particularly in modeling auxin transport in Arabidopsis thaliana and sporulation signaling networks in Bacillus subtilis . Hille has received research funding through the Netherlands Organisation for Scientific Research (NWO) Computational Life Science programme, though specific awards are not listed in available materials. He actively collaborates with the Plant BioDynamics Laboratory (PBDL), where experimental work on polar auxin transport in plant tissues is combined with mathematical modeling and data fitting. His work bridges discrete and continuum approaches to biological modeling through measure-theoretic frameworks.

Rajesh Bagchiمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing
• Psychology
• +۷ مورد دیگر

Rajesh Bagchi is the R.B. Pamplin Professor of Marketing at Virginia Tech’s Pamplin College of Business. He holds dual roles as Associate Dean for Research, Graduate Programs, and Centers. His academic journey includes a B.Tech in Civil Engineering from IIT Mumbai (1998), an MS in Environmental Engineering from the University of Cincinnati (2000), and a PhD in Marketing from the University of Colorado Boulder (2008). His research bridges marketing, psychology, economics, and education, focusing on consumer decision-making gaps and interventions. Key areas include numerical information processing, market mechanisms (auctions/negotiations), and post-purchase societal impacts. His work has been published in top journals like Journal of Consumer Research and Journal of Marketing . He currently serves as Associate Editor for Journal of Consumer Research and Journal of Consumer Psychology . Awards: Marketing Science Institute Young Scholar (2013), Scholar (2020), Society for Consumer Psychology Early Career Award (2016) Teaching: Marketing Analytics, Consumer Behavior, Judgment & Decision-Making at both undergraduate and doctoral levels His articles explore topics like deadline effects, crowding impacts on consumption, and socio-moral pricing. Recent work highlights behavioral nudges to improve consumer choices and societal outcomes. Bagchi’s interdisciplinary focus and editorial leadership position him as a pivotal figure in consumer psychology.

Te Peiمشاهده پروفایل

استادیار

• Geohazards and Georisks
• Geotechnical Engineering
• Machine Learning Applications in Civil Engineering
• +۳ مورد دیگر

Te Pei is an Assistant Professor in the Department of Civil Engineering at The City College of New York (CCNY), with affiliations to the CUNY-CREST Institute and Earth System Science and Environmental Engineering programs. His research focuses on geohazards, geotechnical engineering, and machine learning applications in civil infrastructure, particularly in landslide susceptibility mapping, flood quantification, and risk assessment frameworks. He integrates domain knowledge with advanced ML techniques to address challenges in geotechnical analysis and hazard mitigation. Te Pei's work emphasizes cross-disciplinary approaches, combining physics-informed models with deep learning to improve predictive accuracy across heterogeneous environments. His recent studies include studies on rainfall-induced landslides in Western Pennsylvania and debris flows in Colorado, utilizing meta-learning and domain adaptation techniques. He also explores concrete property prediction and spatiotemporal modeling for infrastructure resilience. Notable contributions include developing novel frameworks for landslide susceptibility prediction using physics-guided neural networks and cloud-based platforms for landslide database management. His research has practical applications in transportation safety (e.g., cut slope hazard assessment using track inspection videos) and disaster response strategies.

• Information and Communication Technology (ICT) impacts on society
• Cultural Heritage Preservation
• Community Development
• +۵ مورد دیگر

Amalia Sabiescu is a Lecturer in Media and Creative Industries at Loughborough University, specializing in information and communication technology (ICT) adoption in cultural practices and international/community development. Her research explores ICT’s role in cultural heritage preservation, museum studies, and addressing global inequalities through participatory design methods. She holds a PhD in Communication Sciences from the University of Lugano and has held postdoctoral roles at institutions including RMIT University (Australia), Coventry University (UK), and the University of Lugano (Switzerland). Her academic background includes qualitative and participatory research in Europe and South Africa, focusing on technology’s socio-cultural impacts. She co-edited significant publications like Museum Experience Design (Springer) and Digital Echoes: Spaces for Intangible and Performance-based Cultural Heritage (Palgrave Macmillan). Her work emphasizes ethical community engagement, cultural transparency, and equitable technology integration in marginalized communities. Key research themes include ICT-mediated cultural heritage transmission, social inclusion through technology, and designing participatory frameworks for low-income and minority groups. She investigates intersections between communication technologies and global disparities, particularly for youth at risk of exclusion. Her recent articles highlight themes like living archives, ethical research practices, and museum ecosystems. Notable contributions address challenges in heritage authorship, intercultural dialogue, and community-owned technology solutions in developing regions. While no awards are explicitly mentioned, her work reflects sustained impact in cultural and tech policy领域.

• Fuzzy set theory and soft computing techniques
• Bioenergy/fuels
• Mathematical modeling of physical and biological systems
• +۱ مورد دیگر

David Jones - Academic Overview David Jones is a Professor of Biological Systems Engineering and Courtesy Professor in the Food Science & Technology Department at Utah State University (USU). He currently serves as the Dean of the College of Engineering at USU. Previously, he was the Department Head of Biological Systems Engineering (2017–2023) and Associate Dean for Undergraduate Programs (2011–2017) at the University of Nebraska-Lincoln. His research focuses on fuzzy set theory, bioenergy, mathematical modeling, and engineering education innovation. Jones has been recognized with numerous awards, including ASABE Fellow (2015) and the Massey-Ferguson Educational Gold Medal (2014). Education Ph.D. in Agricultural Engineering, Oklahoma State University M.S. and B.S. in Agricultural Engineering, Texas A&M University Research Interests Jones' work integrates computational methods (fuzzy logic, soft computing) with agricultural and biomedical systems. Key areas include microwave heating modeling, hyperspectral imaging for food quality assessment, and bioenergy processes like biomass gasification. His engineering education initiatives aim to enhance undergraduate pathways and innovation through programs like S.T.E.P. (Strengthening Transitions to Engineering Programs). Recent Contributions His articles address cutting-edge topics in food engineering (e.g., microwave heating dynamics), biomedical applications (e.g., microwave ablation modeling), and sustainable energy systems (e.g., biomass gasification optimization). Collaborative projects include improving beef tenderness forecasting via hyperspectral imaging and advancing crowd-sourced disaster response technologies. Awards & Honors ASABE Fellow (2015) ASABE Massey-Ferguson Educational Gold Medal (2014) UNL Parents Association Recognition Award (2012, 2011) Holling Family Master Teacher Award (2008) Grants & Leadership NSF-funded S.T.E.P. program to streamline community college-to-university engineering transitions Leadership in NSF initiatives for innovation in engineering education Labs & Teams Directs interdisciplinary teams focusing on precision agriculture, food safety systems, and renewable energy technologies. Active in professional societies including ASABE and ASEE.

William Boslمشاهده پروفایل

دانشیار مهمان

• Clinical Neurophysiology
• Neurodevelopmental Disorders
• EEG Analysis
• +۵ مورد دیگر

William Bosl is a Visiting Associate Professor of Pediatrics at Harvard Medical School (HMS) and Visiting Faculty at Boston Children's Hospital's Computational Health Informatics Program (CHIP). He also holds an Associate Professorship in Health Informatics, Clinical Psychology, and Data Science at the University of San Francisco, where he founded the Master's program in Health Informatics. His research focuses on clinical neurophysiology and neurodiagnostics, particularly leveraging EEG signals to identify biomarkers for autism, epilepsy, and neurocognitive trauma effects. Dr. Bosl’s work integrates computational physics, signal processing, and biomedical informatics to address neurodevelopmental disorders and clinical decision support. **Education**: He earned a PhD in computational geophysics from Stanford University and a second PhD in Behavioral Neuroscience from Boston University School of Medicine (2016). His career transitioned from computational physics at Lawrence Livermore National Laboratory to neuroscience and health informatics at Boston Children’s Hospital in 2005. **Research Interests**: Includes EEG-based biomarker discovery, pediatric epilepsy management, neurodevelopmental pathways in premature infants, and global health initiatives such as neurological sequelae of cerebral malaria in Kenyan children. He emphasizes clinical translation of findings, including EHR integration and primary care device development. **Grants & Collaborations**: Supported by the BCH Innovation & Digital Health Accelerator and partnerships with institutions like Rutgers, University of Texas San Antonio, and the Kenya Medical Research Institute. Collaborations include developing a crowd-sourcing approach for EEG annotation and a prototype infant EEG device for primary care. **Labs/Teams**: Affiliated with the Computational Health Informatics Program (BCH), University of San Francisco Health Informatics Program, and international research networks addressing neurodevelopmental challenges.

Kanad Ghoseمشاهده پروفایل

استاد

• Computer Architecture
• Power-Aware Systems
• High-Performance Computing
• +۶ مورد دیگر

Kanad Ghose is a Distinguished Professor and Director of the Center for Energy-Smart Electronic Systems (ES2) at SUNY Binghamton's School of Computing. His research focuses on computer architecture, power-aware systems, high-performance computing, and cybersecurity. He leads projects in data center energy management, secure processor design, and flexible electronics for wearable health monitoring. Education: BTech/M.Tech from University of Calcutta; MS/PhD from Iowa State University Awards: SUNY Chancellor's Award, IBM Faculty Award, National Science Talent Search Research interests include energy-efficient microarchitectures, cybersecurity at the hardware level, and autonomous systems. Notable projects involve data center cooling optimization, secure execution validation, and wearable ECG sensors. His lab collaborates with industry partners like Intel, Lockheed Martin, and UC Berkeley's Arias group. Current projects include DC-powered data centers, FPGA accelerators, and flexible electronics for clinical-grade health monitoring. Past work includes the MARSSx86 simulator and ARINC-compliant avionics systems.

Shawn Ogunseyeمشاهده پروفایل

استادیار

• Information Systems
• Data Strategy
• Responsible AI
• +۶ مورد دیگر

Shawn Ogunseye is an Assistant Professor of Computer Information Systems at Bentley University. His expertise bridges technical systems analysis and organizational strategy, emphasizing how information systems design impacts business performance. He holds a Ph.D. in Operations & Information Management from Canada, alongside advanced degrees in Computer Science from Nigeria. Research focuses on data repurposability, adaptive sociotechnical systems, and responsible AI. He explores how system design choices affect data longevity and decision quality in dynamic environments. Recent work examines misaligned incentives in AI systems and strategies for sustainable innovation. Consulting interests include enterprise architecture, digital transformation, and agile practices. Prior roles include a postdoctoral fellowship at the Sauder School of Business, University of British Columbia, and industry experience in software development and IT management. Teaching emphasizes project-based learning in programming, databases, and systems analysis, linking technical skills to strategic business goals. His courses integrate real-world cases to develop applied reasoning across technical and managerial domains.

Jacob Thebault-Spiekerمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Social Computing
• Crowd Work Systems
• +۷ مورد دیگر

Jacob Thebault-Spieker is an Assistant Professor in the Information School at the University of Wisconsin-Madison, affiliated with the Department of Computer Science. He holds a PhD in Computer Science from the University of Minnesota (2017) and dual BA degrees in Computer Science and Spanish from the University of Minnesota-Morris (2011). His research focuses on systemic information gaps in user-generated platforms and gig work systems, addressing geographic, political, and demographic biases through computational interventions and participatory design. Affiliations: Collaborative Computing Group (Co-Director since 2021) Key roles: NSF-funded grants on road safety conditions and broadband impacts; PI on projects exploring diversity science and ratings bias Research interests span HCI, crowd work, spatial computing, and digital equity. Notable work includes analyzing geographic disparities in OpenStreetMap, Uber/TaskRabbit, and Wikipedia's multilingual conflict documentation. Recent projects investigate mitigating political bias in content moderation and understanding migration's spatial impact through mental maps. Jacob has mentored over a dozen students in research, emphasizing scalable solutions for information equity. Publications highlight innovative methods like PairWise (content moderation bias mitigation) and GroundTruth (image geolocation systems). Awards include Best Demo at HCOMP 2019 and CHI review excellence recognition. He teaches courses in HCI and the Information Society, integrating pedagogical innovation with research.

John Druryمشاهده پروفایل

استاد

• Social Psychology
• Collective Behavior
• Disaster Management
• +۳ مورد دیگر

John Drury is a Professor of Social Psychology at the University of Sussex, School of Psychology. He specializes in crowd psychology, focusing on collective resilience, emergency responses, and public safety. His research explores how shared identities influence behavior in crowds, with applications to disaster management, riots, and live events. Education: Bachelor's degree at the University of Sussex MSc and PhD in Social Psychology at the University of Exeter Studied/Worked at the University of Amsterdam, University of Abertay Dundee, and Trust for the Study of Adolescence Roles: Director of Research and Knowledge Exchange in the School of Psychology Former editor of the British Journal of Social Psychology Member of Independent SAGE's behavioral subgroup and SPI-B advisory group during the pandemic Research Interests: Collective resilience in disasters Crowd behavior and safety at live events Spontaneous coordination in riots and social movements Policy implications of crowd psychology Grants & Collaborations: Funded projects on climate resilience, land degradation, and Long Covid support groups Consultancies with organizations like the UK Fire & Rescue Service and Event Safety Academy Awards: 2024 Sussex Research Impact Award (Policy Category) 2018 ESRC Impact Awards Finalist Labs & Teams: Leads the Crowds & Identities research group, focusing on collective behavior and safety in crises and events.

• Medical Image Analysis
• Video Surveillance Systems
• Pattern Recognition
• +۳ مورد دیگر

Lorenzo Putzu is a Researcher (Assistant Professor) at the University of Cagliari's Department of Computer Science. He holds a PhD in Computer Science from the same institution (2016). His work focuses on pattern recognition techniques applied to medical imaging and video surveillance, including automated diagnosis support systems, security applications, and synthetic data generation for AI training. Since 2017, he has been part of the PRA Lab, contributing to projects like the IMMAGINA initiative for trustworthy AI in surveillance. Education: Bachelor's Degree in Computer Science (2010) Master's Degree in Computer Science (2012) PhD in Computer Science (2016) Research Interests: Medical image analysis for automated diagnosis (e.g., blood cell classification, histopathology) Video surveillance systems using AI (e.g., person re-identification, crowd counting) Synthetic data generation for improving model robustness Federated learning in healthcare applications Adversarial defense mechanisms in computer vision Key Projects: Development of MIRIAMS for multiple sclerosis segmentation Advancing leukocyte classification methods for hematological analysis Pioneering work on federated learning for cell nuclei segmentation Grant & Advising Activities: No explicit grants or advising roles listed Labs/Teams: Active contributor to the PRA Lab, collaborating on interdisciplinary AI projects in healthcare and security.

• Transport Modeling
• Transport Simulation
• Traffic Systems
• +۳ مورد دیگر

Gunnar Flötteröd is an Adjunct Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems division. He holds a visiting faculty role at BOKU University's Institute of Transport Studies in Austria. His research focuses on transport modeling and simulation, including maritime logistics, pedestrian dynamics, and urban mobility systems. He contributes to the Swedish National Road and Transport Research Institute and teaches on-demand PhD courses in transport modeling at Linköping University. His work bridges model development and real-world applications, covering both demand and supply-side aspects of transport systems. Recent publications address coastal bathymetry estimation using AIS data and multidirectional pedestrian network flows. Flötteröd collaborates with interdisciplinary teams in logistics and communication systems research. No specific grants or advising roles are detailed in the provided materials.

• Artificial Intelligence
• Business Analytics
• Energy Systems Optimization
• +۷ مورد دیگر

Dr. Nishan Mills is a Lecturer in Business Analytics and AI at La Trobe University, Melbourne, Australia. He holds a PhD from the same institution. His research focuses on advancing AI applications across energy systems, healthcare, education, and smart cities. Key areas include explainable AI, generative models, cybersecurity, and net-zero carbon solutions. He collaborates extensively with industry and academia, co-authoring over 30 publications. Dr. Mills’ work spans technical innovations like emotion analysis frameworks (EMOTION AWARE), energy forecasting systems, and AI chatbots for healthcare and education. His research emphasizes ethical AI deployment, human-centric design, and real-world impact. Notable projects include optimizing energy infrastructure, developing mental health chatbots, and designing AI literacy modules for universities. He has contributed to IEEE journals and conferences, focusing on interdisciplinary applications of AI. His work bridges theoretical advancements with practical implementations in sustainability, urban planning, and digital transformation.