جست‌وجوی استاد و پژوهشگر

Hanan Salamمشاهده پروفایل

استادیار

• Artificial Intelligence
• Human-Robot Interaction
• Affective Computing
• +۱۰ مورد دیگر

Hanan Salam is an Assistant Professor of Computer Science at New York University Abu Dhabi (NYUAD), where she leads the Social Machines & Robotics Lab (SMART) and is affiliated with the Center of AI & Robotics (CAIR). She is also the co-founder and head of education and research at Women in AI, a global non-profit dedicated to increasing female representation in artificial intelligence. Education: PhD in Telecommunications, Information, and Communication Sciences and Technologies, CentraleSupélec, France Master of Control, Robotics, Signal and Image Processing, École Centrale de Nantes, France Engineering Degree in Computer Science and Telecommunications, Lebanese University Her research focuses on the intersection of artificial intelligence, robotics, and human behavior, particularly in mental health applications. Key areas include Human-Robot Interaction, affective computing, bias in AI, and social signal processing. She advocates for ethical AI and technology for social good. Although publication titles are not listed in the provided text, her work centers on intelligent systems that understand and respond to human emotions and behaviors, particularly through social robots and AI-driven mental health tools. These efforts align with broader themes in computer science, cognitive systems, and healthcare technology. Scientific Awards: First Place, FERA 2011 - Facial Expression Recognition and Analysis Challenge Second Place, AVEC 2012 - International Audio/Visual Emotion Challenge Hanan has mentored students through capstone projects in computer science and has been actively involved in educational outreach, particularly through Women in AI. She previously taught at Emlyon Business School and several French universities as a part-time lecturer. Her work includes both academic research and industry R&D in robotics startups. She is also engaged in public speaking and advocacy for women in STEM. She leads the Social Machines & Robotics Lab (SMART), which focuses on developing socially intelligent machines capable of understanding and interacting with humans in natural and empathetic ways. The lab integrates AI, robotics, and psychology to build systems that enhance human well-being.

Richard D. Laneمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Psychology
• +۵ مورد دیگر

Richard D. Lane is a Professor at the University of Arizona, holding appointments in Psychiatry, Psychology, and Neuroscience. He is a clinical psychiatrist and psychodynamic psychotherapist with a Ph.D. in Experimental Psychology, specializing in systems neuroscience and emotion research. Dr. Lane is a pioneer in functional brain imaging studies of emotion since the 1990s and has secured multiple NIH grants, including K and RO1 awards. Ph.D., Experimental Psychology, University of Arizona (1999) M.D., University of Illinois Abraham Lincoln School of Medicine (1978) B.A., Yale University (1974) His research integrates systems neuroscience with psychological frameworks to study emotion, emotional awareness, neurovisceral integration, and the mind-body link in conditions like Long QT Syndrome and Coronary Artery Disease. He has published over 200 papers and co-edited two books, including Neuroscience of Enduring Change: Implications for Psychotherapy (Oxford University Press, 2020). Recent publications focus on socio-emotional skills, affective processing deficits in alexithymia, neurovisceral integration, and the clinical relevance of emotional awareness. His work employs PET, fMRI, and graph-theoretic analyses to explore brain-heart interactions and memory-emotion dynamics. Distinguished Scientist Award, American Psychosomatic Society (2024) President, American Psychosomatic Society (2005–2006) Distinguished Life Fellow, American Psychiatric Association Fulbright-Freud Visiting Lecturer in Psychoanalysis (2023) Howard E. Wulsin Excellence in Teaching Award (2014) As an educator, Dr. Lane directed the University of Arizona’s psychotherapy curriculum for psychiatric residents for two decades and has mentored extensively. He collaborates with institutions like the International Neuropsychoanalysis Society and Southwest Psychoanalytic Society.

Sylvia C. Pontمشاهده پروفایل

استاد

• Perceptual Intelligence
• Ecological Optics
• Perception-Based Lighting Design
• +۷ مورد دیگر

Sylvia C. Pont is a Professor in the Faculty of Industrial Design Engineering at Delft University of Technology (TU Delft), where she leads the Perceptual Intelligence Lab (π-lab). Her work uniquely bridges perception science and design, focusing on multisensory experiences in real-world contexts. Her research interests center on Perceptual Intelligence , particularly the science and application of light, materials, and their interactions with shape and space. She pioneers methods in ecological optics and perception-based lighting design. Her work spans disciplines including human-centered design, visual perception, and sensory experience design. The recent publications highlight a strong trend in understanding how illumination affects perception—ranging from illusory motion to environmental lighting variability and light-material interactions. Her interdisciplinary approach integrates vision science, design, and human factors, often applied in healthcare, computing systems, and art. Associate Editor, Journal of Vision Coordinator of Master’s elective course: Lighting Design Teaches in human factors and multisensory design She has supervised 9 academic works and contributes actively to public discourse through media and public lectures. Her research is supported by extensive datasets and collaborations across institutions. She is involved in lab leadership (π-lab), interdisciplinary research teams, and international conferences such as Dagstuhl Seminar and CHI. Her work continues to advance the integration of perceptual science into intelligent and human-centered design systems.

Michael Hakmin Leeمشاهده پروفایل

دانشیار

• Missiology
• Intercultural Studies
• Religious Conversion and Deconversion
• +۱۱ مورد دیگر

Rev. Dr. Michael Hakmin Lee is Associate Professor of Ministry & Leadership and Program Director of three M.A. programs (M.A. Evangelism & Leadership, M.A. Ministry Leadership, M.A. Missional Church Movements) at Wheaton College. He holds a Ph.D. in Intercultural Studies from Trinity Evangelical Divinity School, a Th.M. in Systematic Theology from Dallas Theological Seminary, and a B.A. in Biochemistry from the University of Texas at Austin. Ph.D., Intercultural Studies – Trinity Evangelical Divinity School Th.M., Systematic Theology – Dallas Theological Seminary B.A., Biochemistry – University of Texas at Austin Dr. Lee's research centers on missiology, intercultural studies, religious deconversion, race and ethnicity, theology of religions, and the social impact of technology. He explores how contemporary challenges—such as AI, social media, and religious pluralism—affect Christian discipleship and gospel witness. His work bridges theological reflection with practical ministry engagement. His recent and forthcoming publications reveal a strong trend in analyzing digital culture, deconversion, and interfaith dynamics. He investigates how artificial intelligence and social media reshape disciple-making, while also addressing deep existential questions behind why evangelicals leave the faith. His scholarship integrates interdisciplinary perspectives from theology, sociology, and communication studies. Dr. Lee is an active scholar in the Evangelical Missiological Society, where he currently serves as VP of Finance. He has contributed to numerous peer-reviewed journals and edited monograph series, reflecting sustained academic engagement. He advises on graduate theological education and has led initiatives in distance learning pedagogy. Though no formal advisees are listed, his leadership in M.A. programs suggests significant mentorship. He is also involved in community service as a church elder, certified judo instructor, and youth baseball coach, reflecting a holistic integration of faith and vocation. Dr. Lee is affiliated with Wheaton College’s College of Ministry and Leadership and contributes to the mission of advancing evangelical scholarship and practice in a changing world.

• Developmental Psychology
• Social Cognition
• Human-Robot Interaction
• +۳ مورد دیگر

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
• +۶ مورد دیگر

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.

Daniel Büchelمشاهده پروفایل

پژوهشگر

• Neuroscience
• Motor Control
• Sports Psychology
• +۷ مورد دیگر

Dr. Daniel Büchel is a researcher at the Institute for Movement Therapy and Movement-Oriented Prevention and Rehabilitation, Department of Movement-Oriented Prevention and Rehabilitation Sciences, at the German Sport University Cologne. His work bridges neuroscience, motor control, and sports performance, with a focus on brain-behavior interactions during athletic tasks and rehabilitation. His research interests lie at the intersection of neuroscience , motor-cognitive integration , biomechanics , and sports psychology . He investigates cortical activation, functional connectivity, and postural control using EEG and wearable sensors during complex motor tasks in elite athletes and during rehabilitation. His work emphasizes how cognitive demands influence motor performance and how injuries like ACL tears affect skilled movement. The recent trend in his publications reveals a strong focus on neural correlates of motor performance , particularly in team sports such as field hockey and handball. Using advanced neuroimaging and sensor technologies, his studies explore agility, training load, and postural instability, contributing to both performance optimization and injury rehabilitation. His work frequently applies methods from computational neuroscience and biomechanics to real-world sports contexts. Dr. Büchel actively collaborates with leading researchers in motor neuroscience and sports science, including Jochen Baumeister and Thorben Hülsdünker. While no formal grants or advising roles are mentioned in the provided text, his extensive publication record in high-impact journals indicates active involvement in funded research projects and scientific collaboration networks. He is part of a dynamic research environment at the German Sport University Cologne, contributing to the university's strong profile in movement and neuroscience. He is affiliated with the following research units: Institute for Movement Therapy and Movement-Oriented Prevention and Rehabilitation Department of Movement-Oriented Prevention and Rehabilitation Sciences

• Special Education
• Reading Comprehension
• Digital Learning Environments
• +۲ مورد دیگر

Natalia Latini is a postdoctoral fellow at the Department of Education , University of Oslo, Norway. Her research focuses on reading comprehension , digital learning environments , and special education with an emphasis on specific learning disabilities. She actively contributes to research groups like Development, Equity, and Literacy in Learning Contexts (DEAL) , and projects including CrossREAD (Reading across mediums, devices, and contexts) . Education: Ph.D., Department of Education, University of Oslo (2022) Master in Special Education, Specific Learning Disabilities, University of Oslo (2017) Bachelor in Special Education, University of Oslo (2015) Psychology, year unit, University of Oslo (2012) Her research investigates how digital reading impacts comprehension, with a focus on multimedia integration , media multitasking , and self-efficacy in academic writing . She utilizes methodologies like eye-tracking and verbal protocols to analyze behavioral engagement and cognitive processing across mediums. Recent studies examine belief bias in adolescents and the role of main idea summarization in multiple-document comprehension. Key collaborations include work with researchers such as Ivar Bråten , Ymkje Elisabeth Haverkamp , and Helge Ivar Strømsø . Her publications span journals like Journal of Research in Reading , Literacy Research and Instruction , and Contemporary Educational Psychology . Natalia's research contributes to understanding how technology-mediated learning affects educational outcomes, particularly for individuals with learning challenges. She explores the interplay of screen size , text movement , and media multitasking on comprehension and motivation, offering insights for adaptive teaching strategies in digital contexts.

Nicola Dellمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Computer Security and Privacy
• Information and Communication Technologies for Development
• +۳ مورد دیگر

Nicola Dell is an Associate Professor at Cornell Tech in the Department of Information Science at the Jacobs Technion-Cornell Institute and the Cornell Ann S. Bowers College of Computing and Information Science. She advises Ph.D. and M.S. students in information science and computer science, focusing on human-computer interaction, computer security and privacy, and information and communication technologies for development. Education: BSc (2004) from the University of East Anglia MS (2011) from the University of Washington PhD (2015) from the University of Washington Nicola Dell's research operates at the intersection of human-computer interaction and computer security & privacy. She studies how computing technologies can facilitate harm, especially among at-risk or marginalized communities, and develops systems, frameworks, and interventions that make our technology-mediated world safer and more equitable. Her major research lines focus on the security and privacy of people experiencing intimate partner violence and improving technology for home healthcare workers. Through sustained partnerships with affected communities, Dell's human-centered approach to technology innovation informs real-world policies and systems that empower people in their daily lives. Scientific Awards: MacArthur Fellowship (2024) SIGCHI Societal Impact Award (2023) Advocate of New York City Award (2019) NSF CAREER Award (2018) Nicola Dell advises Ph.D. and M.S. students in information science and computer science. Her NSF CAREER Award supports her research on technology interventions for marginalized communities. She has published over 80 peer-reviewed conference and journal papers at top-tier venues including CHI, CSCW, ICTD, COMPASS, IEEE S&P Oakland, and USENIX Security, with several receiving Best Paper and Honorable Mention recognitions. Dell co-founded and co-directs the Clinic to End Tech Abuse (CETA), which provides "clinical computer security" consultations to survivors of intimate partner violence. She also serves as the director of technology innovation for the Initiative on Home Care Work in the Center for Applied Research on Work (CAROW) and was the inaugural Siegel Faculty Impact Fellow in the Public Interest Technology Initiative at Cornell Tech in 2023.

• Artificial Intelligence
• Blockchain
• Digital Humanities
• +۵ مورد دیگر

Anthony Masure is an Associate Professor at Geneva University of Art and Design (HEAD – Genève) , part of the University of Applied Sciences and Arts Western Switzerland (HES-SO) . His work bridges Artificial Intelligence , Blockchain , and Digital Humanities through critical design lenses. He explores tensions between creative automation and human agency , questioning how machine learning and smart technologies reshape authorship, value systems, and ecological practices in design. Key research areas: AI ethics , NFT implications , post-digital design , and technological accountability Projects like "Design et machine learning : l'automatisation au pouvoir?" (2021-2023) and "Post digital Graphic Design" (2019-2022) demonstrate his focus on critical technological engagements Advocates for open access and non-traditional research formats through initiatives like HEAD-Publishing His recent articles analyze generative AI in design, NFT governance , and circular design frameworks. Collaborations with researchers like Guillaume Helleu and Yves Citton emphasize socio-technical implications. Current projects include "L'organisation autonome automatisée (OAA)" (2024), exploring future enterprise models under climate constraints.

Alessandro Lameiras Koerichمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Pattern Recognition
• +۶ مورد دیگر

Alessandro Lameiras Koerich is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ÉTS), part of the Université du Québec network in Montreal, Canada. He is affiliated with the LIVIA (Imaging, Vision and Artificial Intelligence Laboratory), where he conducts research in machine learning, computer vision, and pattern recognition. His work focuses on developing AI solutions for real-world applications in healthcare, security, and multimedia analysis. His research interests span multiple domains of artificial intelligence, with particular emphasis on multimodal machine learning, affective computing, and trusted machine learning systems. Dr. Koerich's work explores how AI can interpret human emotions through facial expressions and audio analysis, develop robust models resistant to adversarial attacks, and create efficient learning systems that can adapt to changing data streams. His research bridges theoretical advances with practical applications in healthcare monitoring, security systems, and multimedia content analysis. Analysis of his recent publications reveals a strong focus on multimodal emotion recognition, with increasing emphasis on transformer architectures, knowledge distillation techniques, and addressing challenges in real-world settings (in-the-wild recognition). His work consistently combines computer vision with audio processing, demonstrating expertise in both visual and auditory modalities for affective computing applications. Recent trends show growing interest in large language models for audio classification and addressing challenges of concept drift in text stream mining. Dr. Koerich actively supervises numerous graduate students across various research projects, with a particular focus on multimodal expression recognition, music genre classification, and robust machine learning systems. His collaborations span multiple institutions and research groups, reflecting the interdisciplinary nature of his work in artificial intelligence. He is a key member of the LIVIA laboratory, which has established ÉTS as a leading institution in computer vision research in Canada (ranked 6th according to CSRankings). The laboratory focuses on solving real-life problems through AI engineering, particularly in developing complex deep learning models with massive amounts of data that have incomplete annotations.

Shailesh Chandrasekharanمشاهده پروفایل

استاد

• Quantum Computing
• Monte Carlo Algorithms
• Quantum Sign Problems
• +۱۱ مورد دیگر

Shailesh Chandrasekharan is a Professor of Physics in the Department of Physics at Duke University's Trinity College of Arts & Sciences, a position he has held since 2018. Prior to this, he served as Associate Professor of Physics (2005-2018) and Assistant Professor of Physics (1998-2004) at Duke. He has also held leadership roles including Director of Graduate Studies in the Department of Physics (2011-2014, 2019). Dr. Chandrasekharan received his education at prestigious institutions: a B.S. from the Indian Institute of Technology, Madras (1989), followed by an M.A. (1992), M.Phil. (1994), and Ph.D. (1996) from Columbia University. His research focuses on understanding quantum field theories non-perturbatively from first principles calculations, with particular emphasis on lattice formulations of these theories. He specializes in strongly correlated fermionic systems relevant to condensed matter, particle, and nuclear physics. A significant portion of his work involves developing novel Monte-Carlo algorithms to study quantum systems, with special attention to solutions for the notoriously difficult "sign problem" that affects quantum simulations. His expertise spans quantum computing applications, statistical physics, field theory, and critical phenomena. Analysis of his recent publications reveals a strong focus on qubit regularization techniques for lattice gauge theories, quantum critical phenomena, and applications to quantum computing. His work bridges theoretical physics with computational methods, particularly in the areas of asymptotic freedom, quantum phase transitions, and non-perturbative approaches to quantum field theory. The research demonstrates consistent innovation in addressing fundamental challenges in quantum simulation. Dr. Chandrasekharan has secured significant research funding, including the current "Lattice Gauge Theories on a Quantum Computer" project (2024-2028) as Principal Investigator, and long-term projects like "Lattice and Effective Field Theory Studies of Quantum Chromodynamics" (2005-2027) as Co-Principal Investigator. He currently advises PhD student Rui Xian Siew and has taught courses ranging from undergraduate General Physics to advanced graduate-level Quantum Mechanics and Electrodynamics. His teaching portfolio demonstrates breadth across physics education, with recent courses including PHYSICS 122DL (General Physics II), PHYSICS 762 (Electrodynamics), and PHYSICS 765 (Advanced Quantum Mechanics), showing his commitment to both foundational and advanced physics education. His research continues to push the boundaries of quantum field theory simulation and quantum computing applications.

Richard S. Lewisمشاهده پروفایل

استاد

• Social Neuroscience
• Cultural Neuroscience
• Cognitive Neuroscience
• +۳ مورد دیگر

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.

Frank Melznerمشاهده پروفایل

استاد

• Marine Ecology
• Ocean Acidification
• Biomineralization
• +۴ مورد دیگر

Professor Frank Melzner is a leading marine ecologist and group leader of the Ecophysiology Working Group at GEOMAR Helmholtz Centre for Ocean Research Kiel. His research focuses on understanding how marine invertebrates respond physiologically to changing environmental conditions, particularly ocean acidification, warming, and deoxygenation. He is affiliated with the Department of Marine Ecology, specifically within Department 3, Research Unit 'Experimental Ecology - Benthic Ecology' at GEOMAR. His research interests span multiple dimensions of marine physiological ecology: Marine invertebrate zoology & environmental physiology Acid-base regulation in marine organisms Biomineralization processes in calcifying organisms Physiological adaptations to changing ocean conditions Interactions between abiotic stressors and marine food webs Winter warming impacts on marine ecosystems Professor Melzner's extensive publication record demonstrates a strong focus on understanding how marine organisms, particularly bivalves and echinoderms, respond to multiple stressors in a changing ocean. His work combines laboratory experiments with field observations to assess both short-term physiological responses and potential for long-term adaptation. A significant portion of his research examines how ocean acidification affects calcification processes, with particular attention to the underlying cellular mechanisms. His recent work has increasingly focused on the interactive effects of multiple stressors, including temperature, CO 2 , and salinity, with a special emphasis on Baltic Sea ecosystems where these factors interact in unique ways. Professor Melzner leads a productive research group that includes postdocs, PhD students, and technical staff. His laboratory at GEOMAR's Kiel facility conducts innovative experiments using the Kiel Outdoor Benthocosms (KOBs) and other advanced experimental systems to simulate future ocean conditions. This outdoor mesocosm facility has enabled groundbreaking research on winter warming effects that would be difficult to conduct in traditional laboratory settings. His mentoring record shows strong commitment to student development, with numerous successful M.Sc. and Ph.D. students who have gone on to pursue academic and research careers at institutions worldwide. His collaborative approach is evident in his extensive co-authorship network spanning multiple countries and disciplines.

Justine E. Vanden Heuvelمشاهده پروفایل

استاد

• Sustainable viticulture production
• Ecophysiological factors affecting fruit and wine composition
• Computational tools for vineyard management
• +۵ مورد دیگر

Justine E. Vanden Heuvel is a Professor in the Horticulture Section at Cornell University's School of Integrative Plant Science . Her work bridges viticulture research and undergraduate education . Education: Doctorate (2002) from the University of Guelph M.Sc. in Plant Agriculture (1999) from the University of Guelph B.Sc. (1996) from the University of Guelph Research Interests: Focus on digital viticulture for precision management, flavor/aroma optimization in wine grapes, and ecophysiological factors affecting fruit-wine composition. Implements computational tools like NDVI imaging and computer vision for sustainable practices in cool climates. Publication Trends: Research spans soil-plant interactions , climate adaptation , and vineyard technology . Key areas include under-vine vegetation for environmental sustainability, microbial composition studies , and canopy management to improve grape quality. Outreach Activities: Actively engages through @thegrapeprof YouTube content and media contributions to outlets like the New York Times Well blog and HuffPost Science . Teaches courses such as The Science of Grapevines (VIEN 3300) , Advanced Viticulture (VIEN 4460) , and Wine Culture (VIEN 2810) . Contact: G14 Plant Science Building, Ithaca, NY 14853