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Annie E. WertzView profile

Assistant Professor

• Developmental Psychology
• Evolutionary Psychology
• Infant Cognition
• +2 more

Dr. Annie E. Wertz is an Assistant Professor in the Department of Psychological & Brain Sciences at the University of California, Santa Barbara, within the College of Letters & Science. She directs the Lab for Infant Learning and Cognition (LILAC), focusing on cognitive development from an evolutionary perspective. Her research examines how infants and young children develop specialized learning mechanisms for understanding plants, including social learning strategies, threat avoidance, and edible plant identification. Her work integrates experimental studies in lab settings, naturalistic outdoor observations, and cross-cultural collaborations to explore how evolutionary adaptations shape cognitive systems. Key research areas include infant social cognition, food learning, threat perception, and cultural acquisition. Publications demonstrate a consistent focus on infant cognitive adaptations to natural environments, with recent work emphasizing social evaluation, categorization of natural structures, and methodological innovations. Longitudinal studies show how plant-specific learning mechanisms emerge in early development and influence broader cognitive domains. Her contributions have been recognized with the Margo Wilson Award for best paper in Evolution and Human Behavior (2021) and the Don Symons Adaptationism Award (2023). Research projects have received funding from the Max Planck Society and other institutions.

Kaiyu HangView profile

Assistant Professor

• Robotics
• Robotic Manipulation
• Physical Interactions
• +5 more

Kaiyu Hang is an Assistant Professor of Computer Science at Rice University, directing the Robotics and Physical Interactions Lab (RobotΠ Lab). He holds a PhD and MSc from KTH Royal Institute of Technology and a B.Eng. from Xi’an Jiaotong University. His postdoctoral research was conducted at Yale University. His research focuses on robotic systems capable of physically interacting with the environment and humans, emphasizing algorithms in optimization, learning, and control. Key areas include manipulation systems (small-scale grasping to large-scale multi-robot manipulation), robust control, and energy-efficient UAV perching mechanisms inspired by nature. His work has been featured in MIT Technology Review, Science Robotics, and NPR. Hang has received notable awards such as the NSF CAREER Award (2023) and ASME Rising Star (2024). He serves on editorial boards for IEEE Robotics and Automation Letters (2019–present), ICRA (2021–present), IROS (2020–present), and Humanoids (2019). He also organizes the 10th Robotic Grasping and Manipulation Competition (RGMC) at ICRA 2024. As a faculty advisor for the Rice Robotics Club and on the CS Graduate Admission Committee, Hang actively mentors students and promotes inclusivity in robotics through initiatives like Inclusion@RSS. His lab’s projects aim to enhance manipulation robustness, develop novel UAV landing gear, and advance nonprehensile manipulation via motion planning and control.

Claus Brøndgaard MadsenView profile

Associate Professor

• Computer Vision
• Virtual Reality
• Augmented Reality
• +7 more

Claus Brøndgaard Madsen is an Associate Professor in the Department of Architecture, Design and Media Technology at Aalborg University, under The Technical Faculty of IT and Design. He is based at Campus Aalborg and is affiliated with the Computer Graphics Group and VR Light research environment. His work bridges computer vision, virtual reality, and architectural design, with a strong focus on real-time visualization and human interaction in digital environments. Research Interests: His primary research areas include Computer Vision , Virtual Reality (VR) , Augmented Reality (AR) , 3D Reconstruction , Structure-from-Motion (SfM) , and Image-Based Lighting . These are applied in industrial VR, urban design evaluation, and sensory augmentation systems. His research fingerprint highlights strong engagement with Virtual Reality (100%), Augmented Reality (71%), Illumination Conditions (41%), and Wind Turbine Engineering (28%). The recent publications (2023–2025) reflect a consistent trend in enhancing user experience in VR/AR environments, with emphasis on spatial cognition, locomotion techniques, exposure control, and machine learning integration for lighting classification and part direction prediction in industrial contexts. These works are published in top-tier conferences such as EG, GRAPP, WACV, and CAADRIA. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Madsen has supervised PhD students and served as a supervisor in research projects like AAIVR. He is Principal Investigator (PI) in multiple funded projects, including BUMUS: Sustainable Expansion of Mussel Production (2024–2027), CityVR: Evaluating Parametric City Designs in VR (2020–2022), and V-BRT: Virtual Bus Rapid Transit (2019). These projects reflect substantial grant acquisition and leadership in applied VR research. Labs and Research Groups: He is a key member of the Computer Graphics Group and VR Light at Aalborg University, which focus on real-time visualization, lighting techniques, and immersive technologies for industrial and architectural applications.

• Logistics Optimization
• Transportation Planning
• Operations Research
• +3 more

Prof. Michael Schneider is Universitätsprofessor and Chair of Computational Logistics at RWTH Aachen University since 2016. Previously, he held positions at TU Darmstadt (2013-2016) and earned his doctoral degree from TU Kaiserslautern (2012). His research focuses on logistics optimization, including transportation routing, warehouse management, and metaheuristic methods for solving complex operational challenges. He leads the Global Challenges Lab and serves as communication chair of VeRoLog (EURO's vehicle routing group). Research interests include: quantitative modeling for supply chains, heuristic/exact optimization methods, electric vehicle routing, territory design, and production planning. Notable achievements include the INFORMS Journal on Computing Meritorious Paper Award (2021) and editorial roles in journals like Applied Mathematical Modelling. Publications span topics like vehicle routing with time windows, electric logistics networks, and warehouse automation strategies. His work integrates advanced algorithms with real-world industry applications (e.g., DHL, Picnic). The Computational Logistics group collaborates on projects addressing sustainability, autonomous systems, and modern warehousing challenges. Education: Business Admin & Computer Science (University of Mannheim), PhD (TU Kaiserslautern) Professional Roles: VeRoLog Communication Chair, EURO Working Group Key Projects: Electric vehicle routing optimization, warehouse automation, and sustainable logistics networks

• Developmental Psychology
• Social Cognition
• Human-Robot Interaction
• +3 more

Cinzia Di Dio is an Associate Professor at the Catholic University of the Sacred Heart in Milan, Department of Psychology, affiliated with the Research Center on Theory of Mind and Social Competence in the LifeSpan (CeRiToM). She holds academic roles in the Faculty of Education and contributes to interdisciplinary studies on human-robot interaction and developmental psychology. Education : PhD in Neuroscience, University of Parma (2012) MSc in Research Methods and Data Analysis in Psychology, University of Hertfordshire (2003) BSc (Hons) in Psychological Sciences, University of Hertfordshire (2002) Training in fMRI at Santa Lucia Foundation, Rome (2006) Research Focus : Investigates social cognition, moral judgment, and decision-making in human-human and human-robot interactions across the lifespan. Key topics include Theory of Mind, trust dynamics, embodiment effects, and ethical implications of AI. Collaborates with institutions like Harvard University, Kyoto University, and the Italian Institute of Technology. Key Awards : National Scientific Entitlement for Developmental Psychology (2018–2027) Elected ISSBD Executive Committee Member (2024) Teaching & Grants : Lectures courses on developmental neuroscience, psychology of education, and robotics ethics. Oversees doctoral training in Psychology and chairs ethics committees. Active in securing research grants for interdisciplinary projects. Labs & Teams : Leads CeRiToM, focusing on lifespan social competence and directs studies on robotics in education and healthcare.

• Natural Language Generation
• Human Evaluation of NLP Systems
• Data-to-Text Generation
• +6 more

Ehud Reiter is a Professor of Natural Language Generation at the University of Aberdeen's School of Natural and Computing Sciences, Department of Computing Science. With over three decades of research experience, he is recognized as one of the world's leading experts in Natural Language Generation (NLG), particularly in data-to-text systems, evaluation methodologies, and healthcare applications. Reiter's research primarily focuses on creating systems that generate accurate, useful, and understandable natural language from structured data. His work spans multiple domains including healthcare (medical note generation, patient-facing systems), sports reporting, and explainable AI. A significant portion of his recent research addresses the critical challenge of evaluating NLG systems, with particular emphasis on human evaluation methodologies, reproducibility of results, and factual accuracy in generated text. His work on Bayesian Networks and causal graph discovery represents his ongoing interest in knowledge representation and reasoning behind natural language explanations. His research has evolved from foundational work on reference generation and document planning to current projects addressing large language models, reproducibility crises in NLP evaluation, and human-AI collaboration frameworks. The SPHERE evaluation card framework he co-developed represents a systematic approach to evaluating human-AI interaction systems across five key dimensions. Reiter has been instrumental in organizing multiple shared tasks focused on reproducibility in NLG evaluations, demonstrating his commitment to improving research methodology in the field. His work on consultation checklists for medical note evaluation has introduced standardized protocols that increase objectivity in clinical text assessment. Through projects like BabyTalk (generating neonatal intensive care unit summaries) and DrivingBeacon (providing driving behavior feedback), Reiter has demonstrated the practical applications of NLG technology in critical domains. His research consistently bridges theoretical advances with real-world implementation challenges.

Jie DingView profile

Associate Professor

• Artificial Intelligence
• Statistics
• Scientific Computing
• +6 more

Jie Ding is an Associate Professor at the University of Minnesota's School of Statistics with graduate faculty appointments in Electrical Engineering, Computer Science, and the Data Science Program. He serves as a core faculty member of the Data Science and AI Hub and holds an Amazon Scholar position with the Amazon AGI Team focusing on foundation model training. His educational background includes a Ph.D. in Engineering Sciences from Harvard University (2017), postdoctoral work at Duke University (2018), and a B.S. from Tsinghua University where he participated in both the Math & Physics Academic Talent Program and Electrical Engineering program. Ding's research sits at the intersection of artificial intelligence, statistics, and scientific computing, with focus areas including Agentic AI for autonomous data science workflows, AI Foundations for interpretability and trustworthiness, Scalable Modeling for broader AI accessibility, Decentralized and Collaborative AI systems, and AI Safety addressing privacy and security concerns. He developed the STAT 8931 Generative AI course with open-source materials available at genai-course.jding.org . His recent publications demonstrate strong activity across multiple AI subfields, particularly in value alignment (MAP framework), AI safety mechanisms, federated learning innovations, and statistical foundations for modern AI systems. The breadth of venues (ICML, ICLR, NeurIPS) indicates significant impact across the AI research community. NSF CAREER Award (2024) Army Early Career Program (Young Investigator) Award (2023) Cisco Research Award (2022-25) AWS Cloud Credits for Research (2021-22) Meta/Facebook Faculty Research Award (2021-22) UMN Thank-A-Teacher Teaching Award (2019-20) Ding leads the Agentic AI for Data Science Benchmark initiative, collaborating with University of Minnesota colleagues and Minnesota industry partners to evaluate AI agent capabilities across healthcare, insurance, retail, energy and other sectors. His research group actively recruits PhD students interested in AI/Statistics intersections, with focus on developing theoretically grounded yet practically impactful AI systems.

• Computer Graphics
• Virtual Reality
• Cultural Heritage Visualization
• +7 more

Carlos Antonio Andújar Gran is a faculty member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Computer Science. He actively contributes to the academic community through teaching and supervising numerous student projects, particularly in advanced computing domains. His research interests center on the application of computer graphics, virtual reality, and artificial intelligence to real-world problems. Key areas include the 3D visualization and virtual reconstruction of cultural heritage, physically accurate rendering, intelligent segmentation of images, and the use of machine learning and reinforcement learning in sports analytics, particularly for padel. His work bridges technical innovation with practical applications in cultural preservation and sports technology. The recent publications under his supervision reflect a strong trend in digital cultural heritage, with multiple projects focused on tools for virtual visits, reconstruction, lighting simulation, and web-based 3D visualization of heritage models. Another significant trend is the application of AI to padel, including ball and player tracking, virtual coaching, and training virtual agents using reinforcement learning. These projects demonstrate a consistent focus on computer vision, interactive systems, and data-driven modeling. Carlos Antonio Andújar Gran has supervised a substantial number of students, guiding both undergraduate and master's theses. While specific grant information is not available in the text, his sustained supervision across many years suggests active involvement in research projects. He plays a key role in mentoring the next generation of computer scientists at UPC. His work is closely tied to the Department of Computer Science at FIB, where he collaborates with other faculty members such as Imanol Muñoz Pandiella, Núria Pelechano Gómez, and Mohammadreza Javadiha on various student projects, indicating a collaborative research environment focused on graphics, AI, and VR applications.

• Cultural Anthropology
• Ethnography
• European Traditional Cultures
• +5 more

Claus-Marco Dieterich is a Lecturer and Managing Director of the German Society for Empirical Cultural Studies (DGEKW) at the Institute for Empirical Cultural Studies, Faculty of Social Sciences and Philosophy, Philipps University of Marburg. He specializes in historical and contemporary everyday cultures across Europe. Academic Role: Lecturer with focus on cultural anthropology Institution: Philipps University of Marburg Research Focus: Cultural rituals, media representation, and material culture His research spans topics including mass culture, ritual theory, and cultural materiality. Publications like "Terroir. Zur Aushandlung von Natur und Kultur im Weinbau" (2023) and "Postcards from Marburg" (2008) demonstrate his expertise in analyzing cultural practices through ethnographic lenses. He has taught courses on smoking culture, academic environments, and sensory anthropology. His work bridges theoretical concepts with empirical field studies, particularly examining rural spaces, temporal dynamics, and cultural conflicts.

• Genomics
• Non-coding RNA research
• Phenotype-genotype relationships
• +7 more

Professor Marcel Dinger is a prominent academic and researcher currently serving as Professor and Head of School for Biotechnology and Biomolecular Sciences at UNSW Sydney. With over 20 years of experience in genomics, he has established himself as a leading figure in both academic and entrepreneurial spheres within the field. He has published 153 papers with over 24,000 citations and maintains an h-index of 61 on Google Scholar. His leadership extends beyond academia as he serves as President of the Australasian Genomics Technologies Association (AGTA) and holds director positions at Pryzm Health and the National Centre for Indigenous Genomics (NCIG). Professor Dinger's research laboratory focuses on establishing new links between phenotype and genotype, particularly examining rare and complex diseases in relation to underexplored regions of the genome including pseudogenes, repetitive elements, non-canonical DNA structures, and noncoding RNAs. His work harnesses population-scale genomic datasets and sophisticated data science methods to bring an objective perspective to understanding how the genome stores information and how it is transacted in biology. His research interests span genomics, non-coding RNA biology, clinical applications of genomic medicine, and the development of computational approaches for analyzing complex genomic data. Analysis of Professor Dinger's recent publications reveals a strong emphasis on non-coding RNA research, particularly long noncoding RNAs and their roles in disease mechanisms. His work spans cancer genomics, neurological disorders, and fundamental genomic mechanisms including DNA secondary structures like i-motifs and G-quadruplexes. His research combines experimental approaches with advanced bioinformatics to address fundamental questions in genomic medicine and has significant translational implications for disease diagnosis and treatment. Highly Cited Researcher in Cross-Field category (2019, 2020, 2021) Fellow of the Faculty of Science (Research), Royal Society of Pathologists of Australasia (2016) NHMRC Career Development Award (2010) Queensland Government Smart Futures Fellowship (2009) Foundation of Research, Science and Technology New Zealand Postdoctoral Fellowship (2005) Professor Dinger has been instrumental in establishing and leading several significant research initiatives including Genome.One, one of the first companies globally to provide clinical whole genome sequencing services, and the Kinghorn Centre for Clinical Genomics at the Garvan Institute of Medical Research. His entrepreneurial experience includes founding four biotechnology and IT startups. He serves on multiple governance boards including the National Centre for Indigenous Genomics, focusing on using genomics to improve health outcomes for Australia's First Peoples. His laboratory at UNSW continues to advance our understanding of genomic regulation and its implications for human health and disease.

Geoff DoverView profile

Associate Professor

• Pain Research
• Biopsychosocial Model
• Chronic Low Back Pain
• +5 more

Geoff Dover is an Associate Professor in the Department of Health, Kinesiology and Applied Physiology at Concordia University, where he has served since 2008 after directing the Graduate Athletic Training program at the University of Florida. A Certified Athletic Therapist and Certified Athletic Trainer, his research centers on biopsychosocial mechanisms of pain perception and disability, with emphasis on chronic low back pain and athlete rehabilitation. His academic credentials include: PhD from the University of Florida MS from the University of Florida Diploma in Sports Injury Management from Sheridan College BSc in Human Kinetics from the University of Guelph Dr. Dover implements biopsychosocial models to investigate how psychological factors like catastrophizing and fear avoidance interact with functional limitations in chronic pain development. His work identifies risk factors for heightened pain perception and reduced functionality across diverse populations, utilizing innovative tools such as infrared thermography for objective pain assessment and fracture healing monitoring. This research addresses the societal burden of chronic pain through improved clinical outcomes in musculoskeletal disorders. Analysis of his 2020-2024 publications reveals consistent focus on chronic low back pain mechanisms, athlete concussion recovery, and psychological determinants of rehabilitation outcomes. His methodology emphasizes randomized controlled trials, systematic reviews, and psychometric validation of assessment tools, with practical applications in athletic therapy settings. Key trends include quantifying fear avoidance behaviors, evaluating novel interventions like aquatic exercise, and establishing correlations between pain catastrophizing and physiological responses. Scientific Awards: No scientific awards were documented in the provided materials As a thesis supervisor for MSc and PhD candidates in Health and Exercise Science, Dr. Dover mentors graduate students through the Athletic Therapy Research Laboratory. This facility investigates pain perception variability, recovery trajectories, and functional adaptations in both athletic and general populations, with specialized focus on pain-related fear measures. His lab bridges clinical practice and research through partnerships with Concordia's Perform Centre.

Rebecca TittlerView profile

Part-Time Lecturer

• Sustainability
• Ecology
• Forest Management
• +3 more

Dr. Rebecca Tittler is a part-time faculty member at Concordia University's Loyola College for Diversity and Sustainability, affiliated with the Department of Geography, Planning and Environment. She combines academic advising with research coordination at the Loyola Sustainability Research Centre. Ph.D. in Biology from Carleton University (2008) M.Sc. in Biology from University of Alberta (1998) B.A. in Biology from Swarthmore College (1995) Her research focuses on: Interactions between biodiversity, forest landscape structure, and human activity Sustainable boreal/mixedwood forest management Ecosystem services in urban and periurban environments Source-sink dynamics in avian populations TRIAD zoning strategies Landscape-scale ecological modeling Key publication themes include: Optimizing vegetation management under electric infrastructure Long-term forest sustainability under climate change Wildfire risk mitigation in timber supply Anthropogenic disturbance zoning TRIAD forest management applications Avian dispersal patterns Current research projects examine: Climate change impacts on Quebec's annual allowable cut Biodiversity effects of partial cuts Plantation location optimization Urban tree ecosystem services

Juan Antonio Corrales RamónView profile

Research Fellow

• Robotics
• Human-Robot Interaction
• Robotic Manipulation
• +3 more

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.

Jennifer WhitsonView profile

Associate Professor

• Digital Sociology
• Game Studies
• Surveillance and Privacy
• +3 more

Jennifer Whitson is an Associate Professor at the University of Waterloo , affiliated with the Stratford School of Interaction Design and Business and the Department of Sociology and Legal Studies . Her work bridges sociology, game studies, and surveillance studies, focusing on labor conditions, cultural production, and ethical implications of digital technologies. Research Interests include: Digital labor and occupational adaptation Surveillance and privacy in gaming Indie game development networks Identity construction in virtual spaces Equity in creative industries Recent Publications highlight trends in digital labor, surveillance gamification, and indie game economics, with keywords spanning Digital Sociology , Game Studies , Surveillance Capitalism , and Cultural Production . Her work explores subfields like Remote Work Equity , Indie Developer Networks , and Privacy Ethics .

Richard S. LewisView profile

Professor

• Social Neuroscience
• Cultural Neuroscience
• Cognitive Neuroscience
• +3 more

Richard S. Lewis serves as Professor of Neuroscience and Psychological Science at Pomona College, where he has maintained an active research program since 1985. Currently on leave for Fall 2025, he directs a laboratory specializing in cultural neuroscience using electrophysiology and functional near-infrared spectroscopy (fNIRS). His work examines how cultural frameworks shape neural processing of social and physical environments, with particular focus on self-construal differences between East Asian and European American populations. His educational foundation includes a Ph.D. from Michigan State University, Master of Arts from California State University, Los Angeles, and Bachelor of Science from University of California, Los Angeles. This training underpins his interdisciplinary approach bridging psychology, neuroscience, and cultural studies. Dr. Lewis's research program centers on three interconnected domains: (1) cultural modulation of neural responses to social stimuli using N400 and P3 event-related potentials; (2) acute/chronic stress effects on frontal EEG asymmetry and cognitive performance; and (3) neurocognitive sequelae of mild traumatic brain injury. His laboratory actively investigates how cultural background influences neural processing of contextual incongruities and emotional cues, revealing fundamental mechanisms of sociocultural cognition. His publication trajectory since 2006 demonstrates consistent advancement in cultural neuroscience methodology, increasingly incorporating ecological validity through naturalistic paradigms. The work shows progressive refinement from basic ERP studies of cultural priming to complex investigations of stress-cognition interactions in real-world academic settings, with recent emphasis on developing virtual reality methodologies for social neuroscience. Scientific recognition includes: Wig Distinguished Professorship Award for Excellence in Teaching (Pomona College, 1988 & 2011) National Institute of Mental Health Postdoctoral Fellowship (1984-1986) Research funding reflects his program's significance through: National Science Foundation Grant: "Stress, Stages of Memory, and Event-Related Potentials" (2002-2006) National Science Foundation MRI Grant: "Establishment of High-Density ERP Laboratory" (2001-2004) National Institutes of Health Grant: "Neurobehavioral Sequelae of Mild Pediatric TBI" (1989-1991) He actively mentors undergraduate researchers in his Pomona College laboratory, with students contributing to publications across cultural neuroscience and stress physiology domains. His laboratory maintains specialized facilities including high-density EEG systems and fNIRS equipment, recently enhanced through NSF instrumentation grants. Current work pioneers virtual reality integration to create ecologically valid social scenarios while preserving experimental control, aiming to uncover deeper sociocultural neural mechanisms through innovative methodology.