جستجوی استاد راهنمای دانشگاهی

Annika Dixمشاهده پروفایل

دانشگاهی

• Automotive Human Factors
• Human-Machine Interaction
• Cognitive Psychology
• +۸ مورد دیگر

Dr. Annika Dix is a research associate at the Chair of Automobile Engineering, TU Dresden, where since August 2023 she has been establishing the new research group for Automotive Human Factors. She previously held research positions at TU Dresden and the interdisciplinary Centre for Tactile Internet with Human-in-the-Loop (CeTI). Her expertise spans cognitive psychology, neuroscience, and human–machine interaction. Education & Training Diplom-Psychologin (equivalent to MSc Psychology), Humboldt-Universität zu Berlin, specializing in Cognitive and Neuropsychology Doctorate (Dr. rer. nat.), 2015, Humboldt-Universität zu Berlin & Berlin School of Mind and Brain, dissertation: “Count on the Brain: Using EEG Oscillations and Eye Movements to Disentangle Intelligent Problem-Solving in Math” Research Interests Dr. Dix investigates how human cognition—especially problem solving and decision making—interacts with complex technological environments. Her core themes include: Automotive Human Factors: driver behavior, autonomous vehicle acceptance, and technical supervision roles. Human-Machine Interaction: effects of feedback latency, multisensory augmentation, and interface design on motor skill learning. Cognitive & Neural Mechanisms: utilizing EEG, fNIRS, pupillometry, and drift-diffusion modeling to understand mathematical cognition, incentive motivation, and aging. Scientific Contributions & Trends Across 20 peer-reviewed works (2012-2025), Dr. Dix has progressively widened her focus from fundamental mathematical cognition toward applied challenges in cyber-physical and autonomous systems. Recent outputs emphasize ethical and social dimensions of robotics (robots giving moral advice, acceptance of robo-advisors) and the impact of system latency on fine motor performance in augmented reality and tactile internet environments. Teaching & Mentoring She currently coordinates teaching and study-program development for the Chair of Automobile Engineering. Earlier instructional activities at TU Dresden and Humboldt-Universität covered Cognitive Psychology, Embodied Cognition, Embodied AI, and teacher-training courses on child development. Labs & Teams Dr. Dix leads the nascent Automotive Human Factors research group at TU Dresden and actively collaborates with CeTI’s interdisciplinary consortium, integrating psychologists, engineers, and computer scientists to design human-centered tactile internet technologies.

Pınar Doğanمشاهده پروفایل

مدرس ارشد

• Industrial Organization
• Economics of Networks
• Regulation
• +۱ مورد دیگر

Pınar Doğan is a Senior Lecturer in Public Policy at Harvard Kennedy School, Harvard University. She holds a PhD in Economics and a Master's in Mathematical Economics from the University of Toulouse, France. Her academic roles include serving as Faculty Chair of the Master in Public Policy Program (2021-2023) and Associate Editor of Information Economics and Policy . Previous affiliations include visiting positions at the Institute for Advanced Study (Princeton), Télécom ParisTech, and Koc University. Her research centers on industrial organization, network economics, regulatory frameworks, and competition policy. Key themes include market incentives, digital innovation, telecommunications regulation, and strategic decision-making. Publications emphasize telecommunications regulation (e.g., fiber/copper transitions, broadband access), digital markets (e.g., music digitization, pricing models), and collaborative strategies (e.g., R&D joint ventures). Recurring topics include game theory applications, regulatory impacts on infrastructure investment, and competition in network industries. No scientific awards, grants, or student advising details are documented.

Dan Garberمشاهده پروفایل

دانشیار

• Machine Learning
• Continuous Optimization
• Large-Scale Data Analysis
• +۲ مورد دیگر

Dan Garber is an Associate Professor at the Faculty of Data and Decision Sciences at the Technion - Israel Institute of Technology. He joined the faculty in 2017 after completing his Ph.D. at the Technion (2015) and a year as a Research Assistant Professor at Toyota Technological Institute in Chicago (2016). His research bridges machine learning, continuous optimization, and algorithm design, focusing on developing efficient methods for high-dimensional optimization with applications in data science and machine learning. Education: B.Sc. in Computer Engineering (2010), Technion M.Sc. in Computer Science (2012), Technion Ph.D. in Computer Science (2015), Technion Garber leads the Technion Optimization Lab (TOL) , which specializes in foundational research on continuous optimization methodologies and their applications in engineering, medicine, and industry. His work emphasizes theoretical guarantees for scalable algorithms, including those used in large-scale data analysis and sequential decision-making systems. Funding & Awards: Israel Science Foundation grants (2018-2022, 2022-2026, ~$250,000 each) ERC Consolidator Grant (2025-2030, ~1.785M Euro) Best Student Paper Award at COLT Conference (2022) with Ben Kretzu Garber supervises graduate students in optimization and machine learning, including M.Sc. and Ph.D. candidates. His laboratory supports research projects and disseminates advancements through workshops, schools, and seminars. Contact: dangar@technion.ac.il | Office: Bloomfield 406

• Reinforcement Learning
• Machine Learning Theory
• Algorithms
• +۴ مورد دیگر

Ruosong Wang is an Assistant Professor in the Machine Learning Department within the School of Computer Science at Carnegie Mellon University. His research focuses on theoretical aspects of machine learning, particularly reinforcement learning, bandit problems, and algorithmic foundations. Wang's research interests span several key areas in theoretical machine learning. He has made significant contributions to reinforcement learning theory, particularly in understanding sample complexity, horizon dependence, and function approximation. His work on bandit algorithms explores variance-aware and sparse linear settings, while his research on subspace embeddings contributes to fundamental algorithmic techniques. Wang's approach combines rigorous theoretical analysis with practical implications for learning algorithms. His publication record shows a strong focus on theoretical guarantees and tight bounds for various learning problems. Wang's research demonstrates a progression from foundational algorithmic work to increasingly sophisticated analyses of reinforcement learning systems. His papers often address fundamental questions about the limits and possibilities of learning algorithms in complex environments. Wang has published extensively at top-tier machine learning and theoretical computer science venues including ICML, NeurIPS, ICLR, and STOC. His collaborative work with leading researchers in the field demonstrates his integration into the theoretical machine learning community. As an advisor and researcher, Wang contributes to advancing the theoretical foundations of machine learning, with particular emphasis on understanding the fundamental limits and possibilities of learning algorithms in sequential decision-making contexts.

• Applied Statistics
• Statistical Analysis
• Fuzzy Logic
• +۱ مورد دیگر

Zeynep GÖKKUŞ is a Lecturer at Kastamonu University , specifically within the Computer Programming Program of the Kastamonu Vocational School . She has held this full-time position since 2023, previously working at the same institution's Computer Technology and Programming Department in the İnebolu Vocational School from 2009 to 2021. Her academic career has been consistently focused on Applied Statistics and Statistical Analysis , with additional expertise in Fuzzy Logic and Biostatistics . PhD in Statistics from Ondokuz Mayıs University (2018) MSc in Mathematics from Kafkas University (2008) BSc in Mathematics from Atatürk University (2005) Research Interests : Her work spans Statistical Modeling for agricultural and aquacultural applications, including Fuzzy ANOVA , Cox Regression , and Group Sequential Testing . She has developed innovative approaches in Multi-Criteria Decision Making for environmental assessments and contributed to Nanofiber Synthesis and heavy metal removal studies. Article Trends : Her publications (2012–2025) show increasing focus on Fuzzy Logic integration with traditional statistical methods (ANOVA, AAS), alongside applications in Aquaculture Survival Analysis and Environmental Remediation . Recent works emphasize Circular Intuitionistic Fuzzy Control Charts and Geospatial Agricultural Quality Rankings . Scientific Impact : According to Google Scholar metrics, she has 10 citations and an h-index of 2 . Her research has been published in journals like Aquaculture (SCI) and Turk Tarım ve Doğa Bilimleri Dergisi (TR Dizin), with conference presentations at international events including INFUS 2023–2024 and the International Sport Sciences Congress.

Paulina Prieto de La Fuenteمشاهده پروفایل

مدرس

• Architecture
• Urban Planning
• Resilience
• +۳ مورد دیگر

Paulina Prieto de La Fuente is a Lecturer at the Department of Architecture and Built Environment, Lund University. Her work bridges architecture, urban planning, and sustainability, emphasizing the interplay between ethical decisions, climate change, and the built environment. Research Interests Her research focuses on: Resilience in urban spaces Materiality and sequential design Rhythmic patterns in public life Spatio-temporal studies of architecture Fragment-anthology strategies in architectural research Projects Key projects include: Urban Arena (2022–ongoing): Investigating urban design as a co-producer of everyday life choices CHRONOTOPE (2011–2014): Exploring time-space planning for resilient cities REPLACIS (2008–2011): Retail planning for city sustainability Activities In 2023, she co-organized the workshop (UN)LEARNING... by doing , fostering interdisciplinary collaboration.

• Microeconomics
• Applied Microeconometrics
• Risk-Taking Behavior
• +۳ مورد دیگر

Niko Suhonen is a University Lecturer at the Business School, Faculty of Social Sciences and Business Studies of the University of Eastern Finland. His research focuses on microeconomics, applied microeconometrics, and behavioral analysis of risk-taking and gambling activities. Research Groups : Applied Business, Law and Economics Research Group (ABLE) Projects : 2018–2024 studies on IQ-personality links to risk-taking and skill-based gambling His work examines gambling behavior through large-scale datasets, including horse racing betting and online poker/casino dynamics . He analyzes how personality traits (e.g., extraversion) and financial indicators (e.g., income elasticity) influence betting intensity and decision-making. Current projects investigate regulatory impacts on mutual fund flows and private equity development in Europe. Findings include: High loan growth correlates with increased acquisition likelihood in Finnish banks Inefficiency and low profitability make banks more likely M&A targets Non-interest income (e.g., fees) negatively predicts acquisition targets He contributes to debates on banking sector consolidation and behavioral economic modeling , with methodological expertise in panel data analysis and empirical finance .

• Machine Learning
• Reinforcement Learning
• Artificial Intelligence
• +۲ مورد دیگر

Hippolyte Raymond Bourel serves as an Assistant Lecturer and External Ph.D. Student within the Department of Computer Science at the University of Copenhagen, affiliated with the Machine Learning section under Head of Section Professor Yevgeny Seldin. His role integrates teaching responsibilities with doctoral research in theoretical machine learning, situated within the university's SCIENCE AI Centre ecosystem. His research concentrates on reinforcement learning foundations, particularly exploration efficiency in reward machine frameworks. This theoretical work addresses regret minimization in sequential decision processes, contributing to algorithmic robustness in complex environments. The Machine Learning section's broader scope spans applications in medical data analysis, remote sensing, and sustainability, leveraging departmental compute resources like the TreeSense initiative for global tree resource monitoring. Bourel's sole verified publication (2023) demonstrates specialization in provable guarantees for exploration algorithms. The section participates in cross-domain collaborations including the SCIENCE AI Centre, with infrastructure supporting high-performance computing for projects like wetlands carbon modeling and quantum computing research. No student advisement or grant involvement is documented in available sources.

• Artificial Intelligence
• Robotics
• Motion Planning
• +۸ مورد دیگر

Maxim Likhachev is a Professor at the Robotics Institute and National Robotics Engineering Center , both within the School of Computer Science at Carnegie Mellon University (CMU). His research focuses on Artificial Intelligence and Robotics , particularly in real-time graph search algorithms , planning under uncertainty , and high-dimensional mobile manipulation . He co-founded TravelWits.com and RobotWits (acquired by Waymo), and his lab develops the Search-based Planning Library (SBPL), integrated into ROS. Research Themes : Graph search-based planning for deterministic and probabilistic domains Decomposition of hard planning problems into sequential graph searches Incremental algorithms for dynamic environments Experience-driven heuristic optimization Scientific Awards : Gold Edison Award (2013) for industrial mobile manipulator project DARPA Urban Challenge Winner (2007) for autonomous SUV navigation Students : Supervises current PhD students including Itamar Mishani , Muhammad Suhail Saleem , and Rishi Veerapaneni , alongside Masters students like Gabriel Olin . Past advisees include Dhruv Saxena (now at Uber), Michael Phillips (now at Uber), and Shivam Vats (now at Waymo). Lab & Projects : Leads the Search-based Planning Laboratory at CMU, working on systems like K-MAX helicopter , PR2 robots , and industrial mobile manipulators for tasks including autonomous paint stripping and aerial navigation.

Michael N. Shadlenمشاهده پروفایل

استاد

• Neuroscience
• Decision Making
• Computational Neuroscience
• +۷ مورد دیگر

Michael N. Shadlen, MD, PhD , is a Professor of Neuroscience at Columbia University’s Vagelos College of Physicians and Surgeons , a Principal Investigator at the Zuckerman Institute, and an HHMI Investigator since 2000. His work bridges neurophysiology and computational modeling to study decision-making mechanisms in the parietal cortex. Key Affiliations: Vagelos College of Physicians and Surgeons, Columbia University Mortimer B. Zuckerman Mind Brain Behavior Institute Howard Hughes Medical Institute (HHMI) The Kavli Institute for Brain Science Grossman Center for the Statistics of Mind Research Focus: Dr. Shadlen investigates how neural circuits integrate sensory evidence , compute costs/benefits , and enable temporal anticipation . His studies link higher cognition (e.g., language, consciousness) to fundamental neural building blocks, aiming to address disorders like schizophrenia , autism , and dementia . Scientific Contributions: 2023: National Academy of Sciences Fellow 2017: Karl Spencer Lashley Award (American Philosophical Society) 2015: AAAS Fellow 2014: National Academy of Medicine Member 2012: Golden Brain Award (Minerva Foundation) Recent Work Trends: His 2025 Nature Methods paper introduces DREDge , a tool for motion correction in neural recordings . Earlier studies (2016–2023) explore evidence integration , confidence dynamics , and time-sensitive neural processes , emphasizing computational parallels in cognition.

Ada Kedingمشاهده پروفایل

مدرس

• Clinical Trials
• Orthopaedic Statistics
• Medical Statistics
• +۳ مورد دیگر

Ada Keding is a Lecturer and Researcher at the York Trials Unit , University of York, since 2012. She specializes in statistical analysis for orthopaedic clinical trials and supports trial design across diverse health domains, including surgical interventions and public health. Her educational background includes a BSc in Psychology (York), MSc in Human-Computer Interaction (UCL), and MSc in Statistics (Sheffield). Research Roles: Deputy Chair (Dissertation Development Committee), Deputy Chair (Library Committee), Member (Departmental Research Governance Committee) Key Collaborations: NIHR Health Technology Assessment Programme, TB & Tobacco Consortium, DiaDeM Global Health Research Group Research Focus: Ada’s work centers on randomized controlled trials (RCTs), particularly longitudinal studies in orthopaedics. She has contributed to trials like ACTIVE , PROFHER , UK FROST , and DiaDeM , addressing clinical effectiveness, cost-utility, and biases in trial design. Her methodological expertise includes Bayesian sequential models , patient-reported outcomes , and health economics . Publication Trends: Her articles span orthopaedic interventions , diabetes-depression comorbidity , tobacco cessation , and public health strategies . Recurring themes include comparative effectiveness, economic evaluations, and statistical methodology for pragmatic trials.

• Cognitive Psychology
• Human Memory
• Reasoning
• +۴ مورد دیگر

John Dunn is an Adjunct Professor at the School of Psychological Science, The University of Western Australia (UWA). He holds a PhD and BA (Hons) in Psychology from UWA (1985 and 1976, respectively). Previously, he served as a Professor at the University of Adelaide (2005–2016) and held roles including Interim Dean at Murdoch University (2017–2018) and a part-time Professorship at Edith Cowan University (2018–2021). His research focuses on cognitive psychology, human memory, reasoning, decision making, and methodological issues in experimental psychology. He has led or co-led nine grants, including projects on reasoning models and eyewitness identification. His recent work emphasizes statistical methodologies and interdisciplinary applications. **Research Interests**: His expertise spans cognitive processes such as recognition memory, decision-making under uncertainty, and statistical modeling. He has contributed to debates on measurement, Bayesian analysis, and experimental design. His studies often bridge theoretical frameworks with practical applications, such as improving forensic procedures. **Grants & Collaborations**: Dunn has secured funding for projects like 'State-trace analysis: Theory and application' (2013–2019) and 'Uncovering the processes underlying human reasoning' (2017–2018). His collaborations span institutions globally, addressing topics like eyewitness identification and dual-process theories. **Recognition**: While no explicit awards are listed, his sustained contributions to cognitive psychology and interdisciplinary research reflect significant scholarly impact.

Fredrik Lundvall Wollbraatenمشاهده پروفایل

پژوهشگر ارشد

• Bayesian Statistics
• Computational Statistics
• Data Science
• +۳ مورد دیگر

Fredrik Lundvall Wollbraaten is a Research Fellow at the University of Oslo, affiliated with the Department of Mathematics within the Faculty of Mathematics and Natural Sciences. His PhD research, supervised by Professor Geir Olve Storvik and in collaboration with Professor Ingrid Glad and Associate Professor Morten Stakkeland (ABB), focuses on sequential learning and decision-making from maritime sensor data, including failure detection and maintenance rule optimization. His work combines methodological development in model building, inferential tools, and computational methods. Education: Master's in Statistics from the University of Oslo (2020), Bachelor's in Mathematics from NTNU (2018). Prior to his PhD, he worked at RagnaRock Geo (AI startup), SpareBank 1 Markets (equity research analyst), and Nordea Markets (Data Scientist). His academic interests span applied Bayesian methods, parallelized MCMC simulations, and statistical learning techniques. He is part of the Big Insight group and contributes to projects on statistical and machine learning methods for sensor data analysis. Fredrik is also actively involved in the Oslo Sports Student Association (OSI).

Louveton Nicolasمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Cognitive Ergonomics
• Virtual and Augmented Reality
• +۴ مورد دیگر

Louveton Nicolas is an Assistant Professor at the University of Poitiers, affiliated with the Center for Research on Cognition and Learning (CeRCA) and the Maison des Sciences de l'Homme et de la Société (MSHS). His research focuses on cognitive ergonomics, human-computer interaction, and virtual/augmented reality applications. 2024 - HDR (Habilitation à Diriger des Recherches) obtained 2021-2024 - Leads the Web, Editorial and UX Strategy master's degree 2018-2022 - Co-directed UX/UI Ergonomics course 2017-2020 - Carnot cognition correspondent Research interests center on usability evaluation, visual attention mechanisms, and cognitive workload management in complex environments. His work spans automotive interfaces, cyber crisis management, and accessibility solutions through smart glasses technology. Recent publications analyze human-system collaboration in cyber crisis simulations, VR-based robot control evaluation, and anthropomorphic representation in autonomous vehicle interfaces. Key projects include RESISTECC (cyber crisis management), INTEROPS (industrial VR ergonomics), and CMI (AI trust in self-driving cars). University of Poitiers faculty Collaborations with Tohoku University (Japan), IMS Bordeaux, and Luxembourg Institute of Science and Technology Thesis supervision in progress: Marine Desvergnes and Deslande Liboutchi Pepe

Theodore Tomenyمشاهده پروفایل

دانشیار

• Autism Spectrum Disorder
• Intellectual and Developmental Disabilities
• Family Psychology
• +۶ مورد دیگر

Dr. Theodore Tomeny serves as Associate Professor of Psychology and Director of Undergraduate Studies at the University of Alabama, with affiliations spanning the Center for Innovative Research in Autism, Center for Youth Development and Intervention, and Alabama Research Institute on Aging. His work bridges clinical practice and academic research within the autism spectrum disorder (ASD) community. Dr. Tomeny earned his Ph.D. from The University of Southern Mississippi followed by a pre-doctoral internship specializing in autism at Indiana University School of Medicine. His educational background established the foundation for his dual focus on clinical application and research innovation in developmental disabilities. His research program centers on autism spectrum disorder and intellectual developmental disabilities across the lifespan, with particular emphasis on family dynamics, sibling relationships, and long-term care planning for aging families. He investigates quality-of-life factors, cross-neurotype interactions, stakeholder perceptions of ASD, and systemic barriers faced by rural and underserved populations. Current projects examine undergraduate attitudes toward autistic peers, social interaction experiences of autistic adults, and rural caregivers' knowledge of autism. Analysis of Dr. Tomeny's publication trajectory reveals consistent thematic focus on family systems surrounding ASD, with increasing attention to lifespan transitions and rural healthcare disparities. His work demonstrates methodological diversity spanning systematic reviews, mixed-methods studies, and naturalistic interventions, all oriented toward improving service delivery and family outcomes. Dr. Tomeny mentors a dynamic research team within the Research on Autism and Families (RAF) Lab, supervising graduate students including Allison Birnschein, Rachel Harmon, Jong-Woo Suh, and Olivia Ward alongside undergraduates like Amaya McClain. His trainees have secured prestigious positions at institutions including Indiana University School of Medicine, Children's Hospital Colorado, and Cook Children's Medical Center. The RAF Lab operates as a multidisciplinary hub conducting eight active research initiatives including long-term care planning for autistic adults, social interaction studies for autistic adults, and investigations into rural teachers' knowledge of autism. The lab maintains strong clinical ties with the University of Alabama ASD Clinic and UA-ACTS program to ensure research translation into practice.