جستجوی استاد راهنمای دانشگاهی

Dr. David Eggleston is an Alumni Distinguished Undergraduate Professor and Director of the Center for Marine Sciences and Technology (CMAST) at NC State University. He leads the Marine Ecology and Conservation program, focusing on fisheries ecology, habitat restoration, and deep-sea biology. His research integrates field observations, modeling, and molecular tools to address ecological theory and sustainable resource management. Eggleston holds affiliations with the Department of Marine, Earth & Atmospheric Sciences and serves on national/international advisory boards. His academic roles include teaching courses like Introduction to Oceanography and Marine Benthic Ecology . Eggleston’s research spans tropical to temperate marine systems, emphasizing interdisciplinary approaches linking biology, physics, and economics. Awards include NSF’s Early Career Award and recognition in teaching/outreach. Current students focus on topics like oyster reef acoustics, coral reef soundscapes, and blue crab habitat dynamics. Eggleston’s lab emphasizes graduate mentorship, fostering future leaders in academia and resource management. Outreach initiatives include Ecological Synergism and educational tools like The Blue Crab in NC . Collaborative projects involve NOAA, The Nature Conservancy, and international marine organizations.

• Marine Ecology
• Fisheries Science
• Behavioral Ecology
• +۴ مورد دیگر

David Daney is a Senior Researcher (Directeur de recherche) at Inria and HDR-qualified academic, currently serving as Head of Science for the Inria Center at the University of Bordeaux since July 2024. He is the team leader of the Auctus research group, focusing on robotics, cobotics, and human-robot interaction. He is affiliated with Inria and the École Nationale Supérieure de Cognitique (ENSC) at the University of Bordeaux, within the College of Engineering and the Department of Robotics. His research interests include Robotics, Cobotics, Human-Robot Interaction, Human Posture Analysis, Cable-driven Robots, Parameters Identification, Calibration, Interval Analysis, and Haptic Guidance. His work bridges theoretical robotics with industrial applications, particularly in aerospace, automotive, and sustainable agriculture. He has led and participated in numerous industrial collaborations with Airbus, Stellantis, Solvay, AKKA, and Farm3. His recent publications (2023–2025) demonstrate a strong focus on human-robot physical interaction, including real-time capacity estimation (Pycapacity), haptic guidance, model predictive control for dynamic environments, and musculoskeletal modeling for collaborative robotics. These works appear in top-tier journals such as IEEE Transactions on Robotics, Journal of Biomechanical Engineering, and Robotics and Autonomous Systems. HDR (Habilitation à Diriger des Recherches) Principal Investigator of ANR Pacbot Head of Science for Inria Center at University of Bordeaux Erdös number = 3 David Daney supervises multiple PhD students, including Alicia Barsacq, Ahmed-Manaf Dahmani, and Alexis Boulay. He has been principal investigator in several research projects such as LiChIE and ANR Pacbot, focusing on satellite production and human-robot collaboration. He also leads the SHAARE associate team with KAIST’s IRiS lab, advancing shared haptic control. His team develops tools for teleoperation, ergonomic analysis, and robot calibration, with applications in industrial and assistive robotics. He leads the Auctus team at Inria, which develops control and analysis techniques for human-robot physical interaction. The team collaborates with KAIST (SHAARE), ONERA, Pprime Institute, and industrial partners. The MOVER project studies human motor variability for ergonomics, and the Farm3 collaboration explores teleoperated vertical farming robotics.

• Robotics
• Cobotics
• Human-Robot Interaction
• +۱۴ مورد دیگر

Stephen Glaeser is an Associate Professor of Accounting and Associate Dean of the PhD Program at the Kenan-Flagler Business School of the University of North Carolina at Chapel Hill. He holds a PhD in Business Administration from the Wharton School of the University of Pennsylvania, along with an MBA and BA from the Fisher College of Business at Ohio State University. His research focuses on the intersection of accounting and economics, particularly in taxation, innovation, and corporate disclosure strategies. Dr. Glaeser studies how firms balance the benefits of investor communication against risks of revealing non-excludable innovations, and how tax policies influence corporate decisions. He also explores agency conflicts arising from imperfect information. His research interests include intellectual property rights, tax complexity effects on entrepreneurship, and ESG disclosure integrity. He has published in top journals like The Accounting Review , Journal of Accounting and Economics , and Review of Accounting Studies . Notably, he received the 2019 Best Dissertation Award from the American Accounting Association's Financial Accounting and Reporting Section for his work on trade secrets and corporate transparency. Teaching: Courses in managerial and financial accounting. Work Experience: Former Assistant Vice President at Citi Hedge Fund Services and Internal Audit Team Leader at Huntington National Bank. His recent articles highlight trends in AI-driven workforce changes, corporate R&D transparency, and tax policy's role in innovation. He critically examines how firms navigate disclosure challenges while managing risks linked to intellectual property and labor markets.

• Accounting
• Taxation
• Innovation
• +۴ مورد دیگر

Dr. Mike Seymour is a Senior Lecturer at the University of Sydney Business School, specializing in Human-Computer Interaction (HCI), Digital Humans, and AI ethics. He holds a BSc, MBA, and PhD from the University of Sydney. His research focuses on photorealistic digital faces for immersive interfaces, blockchain socio-technical systems, and agile project management in creative industries. Dr. Seymour is a member of the Sydney Nano Institute and leads the Motus Lab. He has published in top journals like *Harvard Business Review*, *Communications of the ACM*, and *Information Systems Research*. His current projects include ARC-funded research on digital humans for anti-racism initiatives and adaptive AI for brain injury patients. He has received awards such as the SOAR Prize and ECR Researcher of the Year. His teaching spans CX, UX, and project management courses (e.g., INFS2040, INFS3080). Media engagements include ABC News, Sky News, and *The Australian Financial Review* for commentary on AI ethics and film industry trends. Education: BSc (University of Sydney) MBA (University of Sydney) PhD (University of Sydney) Research Themes: Real-time photorealistic avatars Deepfake ethics Agile methodologies in VFX Grants: A$450K ARC DP25 grant for anti-racism digital humans Earned $200K in industry partnerships (e.g., Epic Games) Labs/Teams: Leads the Motus Lab and collaborates with the Digital Human Research Group.

• Human-Computer Interaction (HCI)
• Artificial Intelligence
• Digital Humans
• +۴ مورد دیگر

Dr. Panagiotis Andriotis is a Lecturer in Computer Science at the School of Computer Science, University of Birmingham, within the College of Engineering and Physical Sciences. He is also a GIAC Certified Forensic Examiner (GCFE, GASF) and a Senior Fellow of the Higher Education Academy (SFHEA). His interdisciplinary research spans Cyber Security, Human Factors, and Mobile and Ubiquitous Computing. He teaches courses in Computer Science, Cyber Security, and Digital Forensics. His educational background includes a PhD in Computer Science from the University of Bristol (2016), an MSc with Distinction in Computer Science from the same institution (2011), and a BSc in Mathematics from the National and Kapodistrian University of Athens (2004). Dr. Andriotis’s research interests focus on user-centered security, particularly in mobile environments. He investigates how users interact with Android’s permission systems, develops novel authentication mechanisms like Bu-Dash, and explores adversarial machine learning in cybersecurity. His work bridges technical and human aspects, aiming to improve both system robustness and user experience. His recent publications reflect a strong trend in adversarial machine learning, mobile malware detection, usable privacy, and the societal implications of AI in education. He has contributed to high-impact journals such as IEEE Transactions on Cybernetics, ACM Transactions on Privacy and Security, and Elsevier’s Journal of Information Security and Applications. Best Paper Award at HCI International 2020 Impact Award, UWE Bristol Student Union GIAC Certified Forensic Examiner (GCFE) GIAC Advanced Smartphone Forensics (GASF) SANS Lethal Forensicator Coin Dr. Andriotis has advised PhD students, including Andrew McCarthy, and has been involved in funded research projects such as those related to fuzzing, software security, and critical infrastructure protection in collaboration with Airbus. He has served as an External Examiner at Cardiff Metropolitan University and is currently on the editorial boards of Digital Threats: Research and Practice (ACM) and the Journal of Responsible Technology (Elsevier). He has held visiting roles at the National Institute of Informatics in Tokyo, including as a JSPS Fellow and Toshiba Fellow. He leads research in digital forensics and security, with a lab focus on mobile ecosystems, behavioral modeling, and AI-driven threat detection. His team explores both technical and human dimensions of cybersecurity, contributing to tools and frameworks that enhance mobile security and user awareness.

• Cyber Security
• Human Factors in Security
• Mobile and Ubiquitous Computing
• +۷ مورد دیگر

Julien Cloarec is a Full Professor of Quantitative Marketing at iaelyon School of Management, Université Jean Moulin Lyon 3, where he also serves as Vice-President for Digital Strategy and Artificial Intelligence. He is an internationally recognized expert in artificial intelligence, with a focus on responsible AI development that balances innovation with privacy protection. His research interests center on Artificial Intelligence , Privacy in AI , Consumer Behavior , and Digital Marketing . He investigates how users perceive and adopt AI technologies, particularly in domains like autonomous vehicles, brain–machine interfaces, and eHealth, emphasizing the psychological and ethical dimensions of trust and privacy. His recent publications (2022–2025) reflect a strong thematic focus on the personalization-privacy paradox , algorithmic aversion , and transparency in AI systems . These works appear in leading journals across marketing, technology, and transportation research, demonstrating interdisciplinary impact. Scientific Awards: Prix AFM - Association Française du Marketing pour la meilleure communication (2022) Julien Cloarec actively collaborates with regulatory bodies, professional associations, and academic institutions to influence public policy and promote responsible AI. He leads research at the Magellan Laboratory @iaelyon and manages educational initiatives such as the Certificate in Artificial Intelligence for Marketing . He advises on doctoral research and has contributed to publications on the doctoral experience in management. Laboratory Affiliation: Magellan Laboratory @iaelyon - Research in Organizational Management

• Artificial Intelligence
• Quantitative Marketing
• Data Science
• +۷ مورد دیگر

Andreas Holzinger is a Professor at Graz University of Technology, with additional affiliations at Medical University Graz and University of Natural Resources and Life Sciences Vienna in Austria. He is recognized as an IFIP Fellow (2021) for his significant contributions to information processing and computer science. His work spans multiple institutions across Europe, with notable collaborations extending to the University of Alberta in Canada. Professor Holzinger's research focuses on Human-Centered AI, Explainable AI (XAI), and their practical applications across diverse domains. His work bridges theoretical AI advancements with real-world implementations in healthcare, forestry, and human-robot interaction. He has pioneered approaches in counterfactual explanations, graph neural networks, and human-in-the-loop systems that emphasize transparency and trustworthiness in AI decision-making processes. His recent publications demonstrate a strong trend toward integrating large language models with traditional AI systems while maintaining explainability. Holzinger's work consistently emphasizes the human element in AI systems, ensuring that technological advancements serve human needs rather than obscuring decision processes. His research in medical AI, smart forestry, and agricultural applications shows a commitment to solving practical problems with human-centered technological solutions. Scientific Awards: IFIP Fellow (2021) Professor Holzinger has been instrumental in establishing design guidelines for explainable AI systems, particularly through his work on post-hoc versus ante-hoc explanations. His research on Kandinsky Patterns has provided valuable experimental frameworks for pattern analysis and machine intelligence. He has secured significant research funding for projects bridging AI with practical applications in healthcare and environmental monitoring. His leadership extends to the organization of major conferences and workshops, including the CD-MAKE conference series, where he has fostered interdisciplinary collaboration between AI researchers and domain experts. His work on the CLARUS platform demonstrates practical implementations of interactive explainable AI for medical applications.

• Explainable AI
• Human-AI Interaction
• Machine Learning
• +۷ مورد دیگر

Dr Michael Boemo is an Assistant Professor at the University of Cambridge, holding dual appointments in the Department of Pathology and Department of Genetics. He leads research at the intersection of computational biology, DNA replication, and cancer genomics, developing machine learning tools to analyze replication stress and genomic instability. Academic Background: BA in Mathematics (Rutgers University), PhD in Physics (University of Oxford) Research Focus: Genomic instability in cancer, DNA replication/repair defects, computational modeling using machine learning and high-performance simulations Teaching: Lectures in Natural Sciences Tripos (mathematical biology, genetics, systems biology), module organizer for cancer biology and biological modeling His research group leverages nanopore sequencing and AI to map replication fork dynamics, revealing how stalled forks generate mutations in cancer cells and pathogens. Recent work examines extrachromosomal DNA replication vulnerabilities and transcription-replication conflicts. Dr Boemo collaborates across computational biology and cancer research domains, with publications spanning journals like Nature Methods, Cell, and PLoS Computational Biology. His lab develops tools such as DNAscent for replication fork analysis and explores therapeutic targeting of replication stress.

• Genomic Instability
• DNA Replication and Repair
• Computational Biology
• +۵ مورد دیگر

Angelika H. Mader is an Associate Professor at the University of Twente, holding dual appointments at the Digital Society Institute and within the Human Media Interaction research group. Her work bridges computer science, design, and human factors with a focus on embodied interaction technologies and educational innovation. Her research centers on Haptics and Human-Computer Interaction , specializing in Social Touch systems, textile-based actuators, and pressure perception thresholds. She investigates emotional and sensory qualities of mediated touch while contributing to programming education through automated assessment tools. Her interdisciplinary approach integrates computer science, psychology, and design to develop novel user experiences for social and educational contexts. Recent publications (2023-2025) reveal a concentrated focus on haptic interfaces for social interaction, including textile actuators for pressure feedback, spatiotemporal touch illusions, and systems for social breath awareness. Her programming education work addresses automated assessment for learning-by-doing, demonstrating a clear trend toward embodied interaction in health, education, and collaborative environments. Professional recognition includes: Best Practices in Education Award (2018) She has supervised 3 students and maintains active research through dataset contributions on psychophysics and social touch. Her work shows consistent funding through collaborative projects evidenced by 6 public datasets and high-impact publications. As a core member of the Human Media Interaction group, she contributes to multimodal interaction research while advancing the Digital Society Institute's mission of addressing societal challenges through digital innovation. Her cross-disciplinary collaborations span engineering, psychology, and design teams focused on tactile communication systems.

• Haptics
• Human-Computer Interaction
• Social Touch
• +۴ مورد دیگر

Prof. Dr. Gökhan Kiper is a faculty member in the Department of Mechanical Engineering at Izmir Institute of Technology , Turkey. His research focuses on Mechanism Science , Machine Design , and Deployable Structures , with particular emphasis on Polyhedral Geometry applications. Teaches courses: ME332 (Mechanisms), ME402 (Machine Design), ME577 (Advanced Mechanism Design) Active in IFToMM (International Federation for the Promotion of Mechanism and Machine Science), including roles in the Technical Committee for Computational Kinematics and the Turkey Branch (MakTeD) Co-organized the IFToMM Summer School on Mechanism Design for Medical Applications (2018) Research interests span kinematic synthesis of mechanisms, deployable architectural structures, and medical robotics. Key projects include a rollable ramp for temporary use, finger exoskeletons for rehabilitation, and remote-center-of-motion manipulators for minimally invasive surgery. His work integrates theoretical analysis with practical prototyping, reflected in publications across robotics, structural mechanics, and geometric design. Affiliates with the Rasim Alizade Mechatronics Laboratory (RAML) and the IzTech Kinetic Designs in Architecture Group . Presented at international conferences like International Symposium of Mechanism and Machine Science (ISMMS-2017) in Baku, Azerbaijan, where he chaired sessions on mechanism kinematics.

• Mechanism Science
• Machine Design
• Deployable Structures
• +۱ مورد دیگر

Manav Raj is an Assistant Professor of Management at the Wharton School, University of Pennsylvania. His research examines how technological change affects competition, strategy, and institutional frameworks, with emphasis on digital innovation, platforms, and artificial intelligence (AI). Education: B.A. in Economics (Dartmouth College, 2015); Ph.D. in Management & Organizations (NYU Stern, 2023) Research interests span: Digital transformation of industries Institutional influences on innovation AI's economic and organizational impacts Startup dynamics and patent strategies Labor market implications of automation His publications focus on AI exposure metrics, legislative institutional effects, and automation's economic consequences. Collaborations with Edward Felten, Robert Seamans, and Deepak Hegde highlight interdisciplinary approaches combining economics, management, and technology policy. Scientific awards include: NYU Stern Harold W. MacDowell Prize (2022) Kauffman Foundation Knowledge Challenge Grant (2020) Strategic Management Society Best Conference PhD Paper Prize (2020) At Wharton, he teaches: MGMT2140 - Tech & Innov Strategy MGMT7310 - Technology Strategy

• Innovation
• Technology Strategy
• Digital Strategy
• +۲ مورد دیگر

Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.

• Robotics
• Systems Engineering
• Automation
• +۵ مورد دیگر

Seongjin Choi is an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities , where he began his role in January 2024. His research bridges Urban Mobility Data Analytics , Spatiotemporal Modeling , and Deep Learning to advance transportation systems. Affiliated with the Center for Transportation Studies , Minnesota Robotics Institute , and Data Science Initiative , he leads the Choi Research Group . Education: Ph.D., Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2021 M.S., Civil and Environmental Engineering, KAIST, 2017 B.S., Civil and Environmental Engineering, KAIST, 2015 His research focuses on Urban Mobility Data Analytics and Deep Learning to optimize transportation systems. Key areas include: Spatiotemporal Data Modeling for forecasting and imputation Generative AI applications in transportation data Reinforcement Learning for Connected Automated Vehicles (CAV) Cooperative Intelligent Transport Systems (C-ITS) Recent publications in Transportation Science and Transportation Research Part C highlight his work on probabilistic traffic forecasting , deep generative models , and vision-language-action frameworks for autonomous systems. His methodologies often combine AI-driven analytics with real-time mobility optimization . Dr. Choi serves as: Associate Editor of The Journal of the Korean Society of Transportation (JKST) , 2023–Present Guest Editor for Journal of Advanced Transportation special issue on "Advanced Data Intelligence Theory and Practice in Transport 2023", 2023–2024 He actively seeks PhD students/postdocs for 2025 cohorts focused on machine learning for transportation challenges. Current projects include AI-enhanced traffic forecasting, CAV control, and urban air mobility (UAM) integration studies.

• Urban Mobility Data Analytics
• Spatiotemporal Data Modeling
• Deep Learning & Artificial Intelligence
• +۳ مورد دیگر

Arnab Nandi is a Professor of Computer Science and Engineering at The Ohio State University, with a courtesy appointment in Biomedical Informatics. He holds leadership roles including Steering Committee Member for the Human-in-the-Loop Data Analytics (HILDA) Workshop and has served as Workshops co-chair for SIGMOD 2025-26 and Demonstrations co-chair for SIGMOD 2024. His research focuses on bridging human interaction and data infrastructure, spanning database systems, human-in-the-loop data analytics, and next-generation query interfaces. Nandi's work emphasizes interactive data exploration through projects like DICE (Distributed Interactive Cube Exploration), GestureDB (Querying Beyond Keyboards), and Omni (Multimodal Data Exploration). His recent research explores integrating LLMs into database education, augmented reality interfaces for data analytics, and multimodal approaches to video querying. Nandi has received numerous honors including the NSF CAREER Award, Google Faculty Research Award, IEEE TCDE Early Career Award, and the University's Alumni Award for Distinguished Teaching. He was also named to Columbus Business First's '40 under 40' and became an ACM Distinguished Member in 2024. As an educator, he teaches courses including CSE 3241 (Introduction to Database Systems), CSE 5242 (Advanced Database Systems), and CSE 5251 (Introduction to Software Startups). His educational innovations include DBTutor, which integrates LLMs into database systems education. At Ohio State, Nandi co-founded the OHI/O Program, which fosters tech culture through hackathons, and The STEAM Factory, an interdisciplinary research collaboration network. Prior to academia, he was founder and CEO of Mobikit, a connected vehicles data analytics startup acquired by Azuga Inc. (a Bridgestone company). His research has been supported by the NSF and industry partnerships, with applications spanning precision agriculture (CropFusion), clinical data pipelines (ICARUS), and interactive visualization systems (Perceptvis).

• Database Systems
• Human-Computer Interaction
• Human-in-the-Loop Data Analytics
• +۵ مورد دیگر

Andrew C. Shin is an Assistant Professor at Texas Tech University within the Department of Nutritional Sciences . His work bridges metabolic health , neuroendocrinology , and neurodegenerative diseases , with a focus on how the brain regulates glucose homeostasis , BCAA metabolism , and bariatric surgery mechanisms . Ph.D. in Neuroscience, Michigan State University (2008) Postdoctoral Fellow, Pennington Biomedical Research Center and Icahn School of Medicine at Mount Sinai Dr. Shin’s research explores the neural pathways involved in appetite regulation , nutrient partitioning , and metabolic resistance . His NIH-funded projects investigate insulin signaling in POMC neurons , BCAA dynamics , and nicotine’s metabolic effects . Recent work highlights the role of the autonomic nervous system in BCAA regulation and its implications for obesity and diabetes . His 15 most recent publications reflect a focus on AI applications in nutrition , BCAA-related pathologies , Alzheimer’s disease , and metabolic surgery outcomes . Key themes include neuroendocrine control , nutritional interventions , and environmental impacts on metabolism . Scientific Awards NIH K01 Award Dr. Shin directs the Mouse Metabolic Phenotyping Facility and collaborates on synbiotic trials for cognitive aging . His work spans basic science and translational research , addressing metabolic disorders and their neurological consequences .

• Metabolic Health
• Neuroendocrinology
• Branched-Chain Amino Acid (BCAA) Metabolism
• +۵ مورد دیگر