جست‌وجوی استاد و پژوهشگر

• Modern Chinese literature
• Cinema and film history
• Cultural history
• +۵ مورد دیگر

Christopher Rea is a Professor of Modern Chinese Literature in the Department of Asian Studies at the University of British Columbia's Faculty of Arts. He serves as a faculty member and former Associate Head of the Department of Asian Studies, former Director of the Centre for Chinese Research, an associate of the Hong Kong Studies Initiative, and a Faculty Fellow of St. John's College. His academic journey includes a Ph.D. from Columbia University (2008) and a B.A. from Dartmouth College (1999). Rea's research focuses on the modern Chinese-speaking world, with particular expertise in Chinese literature, cinema, print culture, translation, and the cultural history of humor and deception. His scholarly approach bridges literary analysis, cultural history, and film studies, creating a distinctive interdisciplinary perspective on modern Chinese cultural production. He is particularly known for his work on Republican-era China (1912-1949), exploring how cultural forms evolved during this transformative period. His major publications reveal a trajectory from studies of humor and laughter in modern China ( The Age of Irreverence , 2015) to literary hoaxes and deception ( The Book of Swindles , 2017), Chinese cinema ( Chinese Film Classics , 2021), and research methodology ( Where Research Begins , 2022). His current projects include China on the Make: Stories of Chinese Deception and The Unfinished Comedy , a sequel to The Age of Irreverence . National Endowment for the Arts Translation Fellowship (2024) UBC Dean of Arts Mentorship Award (2024) UBC Killam Research Prize (2022) Joseph Levenson Book Prize (2017) Rea actively supervises graduate students and has developed significant digital resources, including the Chinese Film Classics project (chinesefilmclassics.org) featuring 40+ subtitled Chinese films and 22 video lectures, and a YouTube channel with over 250 videos on Chinese cinema and culture. His teaching extends to free online courses on The Modern Chinese Novel and early Chinese cinema, demonstrating his commitment to making scholarly resources accessible beyond traditional academic boundaries.

• Nutrition and Chronic Disease
• Cancer Epidemiology
• Obesity and Physical Activity
• +۳ مورد دیگر

Dagfinn Aune serves as a Research Fellow at the Department of Epidemiology and Biostatistics within the School of Public Health, Faculty of Medicine at Imperial College London. He concurrently holds positions as Associate Professor at Oslo New University College and Senior Researcher at the Cancer Registry of Norway in Oslo. His work centers on large-scale epidemiological investigations into diet, obesity, and chronic disease mechanisms across international populations. Education: PhD in Epidemiology, Norwegian University of Science and Technology (2016) MSc in Nutrition, University of Oslo (2008) Research interests focus on the interplay between dietary patterns, adiposity, physical activity, and smoking with chronic disease outcomes. His work examines how these factors influence cancer risk (particularly breast, gastrointestinal, and hematological malignancies), pregnancy complications, diabetes progression, and mortality across diverse populations. He employs systematic review methodologies and analyzes data from major cohorts including EPIC and Norwegian registries. Publication trends reveal consistent emphasis on obesity-cancer relationships, with recent work (2023-2025) expanding into metabolomic mediators, cardiometabolic interactions, and rare cancer epidemiology. His research frequently utilizes systematic reviews, meta-analyses, and multinational cohort studies to establish evidence for cancer prevention guidelines. Scientific Awards: No awards specified in source materials Advising and grant activity centers on major collaborative projects including the World Cancer Research Fund's Continuous Update Project, the EPIC study, and South American case-control research. While specific student mentorship isn't documented, his leadership in systematic review protocols suggests substantial training responsibilities. His grant portfolio includes funding from WCRF International and Norwegian research councils for large-scale epidemiological analyses. Labs and teams include the Centre for Translational Nutrition and Food Research at Imperial College London, where he collaborates with nutrition scientists and biostatisticians. He maintains active roles in the EPIC consortium and WCRF International's CUP Global Programme, coordinating multinational analyses of diet-cancer relationships through the Cancer Registry of Norway.

Bobak Mortazaviمشاهده پروفایل

دانشیار

• Medical analytics
• Machine learning
• Embedded systems design
• +۳ مورد دیگر

Bobak Mortazavi is an Associate Professor in the Department of Computer Science & Engineering at Texas A&M University. His research focuses on medical analytics, machine learning, wearable sensors, and cyber-physical systems. He leads interdisciplinary projects in healthcare technology, including AI-driven diagnostics and predictive modeling for cardiovascular diseases. He has received notable awards such as the Best Demonstration Award at IEEE EMBS 2012 and the Best Paper Award at the Fourth International Conference on Data Analytics 2015. His work bridges machine learning with clinical applications, emphasizing practical solutions for healthcare challenges. Recent research includes developing AI tools for aortic stenosis detection, electrolyte estimation via ECG, and real-time patient monitoring systems. He collaborates with industry and academic partners to advance telemedicine and wearable health technologies. Key contributions include the SMART-LV project for smartphone-based cardiac diagnostics and the ArterialNet framework for blood pressure reconstruction using wearable sensors. His work is published in top journals like IEEE Journal of Biomedical and Health Informatics and Elsevier's Pervasive and Mobile Computing.

• Human-Computer Interaction
• Ubiquitous Computing
• Explainable Artificial Intelligence
• +۴ مورد دیگر

Brian Y. Lim is an Associate Professor in the Department of Computer Science at the National University of Singapore (NUS), leading the NUS Ubicomp Lab. His research integrates Explainable AI (XAI) , Human-Computer Interaction (HCI) , and Ubiquitous Computing to address societal challenges in healthcare , wellness , and urban sustainability . He holds a Ph.D. and M.S. in Human-Computer Interaction from Carnegie Mellon University and a B.S. in Engineering Physics from Cornell University. Education: B.S., Engineering Physics, Cornell University M.S., Human-Computer Interaction, Carnegie Mellon University Ph.D., Human-Computer Interaction, Carnegie Mellon University His research focuses on designing human-centric AI systems that prioritize transparency and user trust. Key areas include explainable AI algorithms , context-aware computing , data visualization , and trustworthy machine learning . Projects like RexNet and Directed Diversity demonstrate his work in creating relatable AI explanations and enhancing crowd creativity through algorithmic prompting. Recent publications (2022–2025) highlight advancements in faithful visual explanations , user-centric XAI frameworks , and healthcare analytics . Notable awards include the CHI'22 Best Paper Award , IMWUT Distinguished Paper Award , and MOE Outstanding Mentor Award . He has advised numerous PhD and Masters students and leads the NUS Ubicomp Lab, which explores applications like TasteHealthy (food recommendation app) and Food Loves Fellowship (narrative data visualization).

Nancy M. Wellsمشاهده پروفایل

استاد

• Environmental Psychology
• Human-Environment Interactions
• Nature and Health
• +۷ مورد دیگر

Nancy M. Wells is a Professor in the Department of Human Centered Design and serves as the Senior Associate Dean for Research and Graduate Education in the College of Human Ecology at Cornell University. Her work bridges environmental psychology and public health, examining how built and natural environments impact human health and behavior across the lifespan. Dr. Wells received a joint PhD in Psychology and Architecture from the University of Michigan and completed National Institute of Mental Health (NIMH) post-doctoral training at the University of California, Irvine. Her educational background uniquely positions her to investigate the intersection of physical environments and human wellbeing through both psychological and architectural lenses. Her research focuses on how environmental contexts—from homes to neighborhoods to schools—affect health outcomes, cognitive functioning, and resilience. A central theme examines nature's role in human resilience, particularly how natural environments buffer against adversity and challenge. She has conducted influential work on school gardens and their effects on children's physical activity, dietary habits, and learning. More recently, she has pioneered research on nature and autism, conducting a randomized controlled trial examining natural environments' effects on autistic youth wellbeing. Analysis of Dr. Wells' recent publications reveals consistent focus on nature's health benefits, with strong emphasis on experimental methodologies including randomized controlled trials and natural experiments. Her work spans environmental psychology, public health, and education, with particular attention to vulnerable populations including low-income communities and children of color. NSF Funding for environmental health research USDA Funding for school garden studies Robert Wood Johnson Foundation Funding MacArthur Foundation Funding Senior Associate Editor of Environment and Behavior (4 years) Research Advisory Board of Children and Nature Network Board of Directors for reDirect Dr. Wells actively mentors undergraduate and graduate students through the Wells Lab, involving them in all research stages from data collection to publication. Her research has been supported by multiple significant grants examining housing quality effects on mental health, neighborhood design impacts on physical activity, and school garden interventions. She leads interdisciplinary research teams that integrate perspectives from environmental psychology, public health, landscape architecture, and education. The Wells Lab operates as an integrated research-teaching-outreach unit that develops practical yet rigorous studies to assess causal relations between environment and health, creates valid measurement tools, and identifies causal pathways. Current projects include examining nature's effects on autistic youth wellbeing in partnership with The Center for Discovery in New York, and investigating multi-sensory design in urban public spaces.

Bradley D. Olsenمشاهده پروفایل

استاد

• Polymer Science
• Materials Engineering
• Soft Condensed Matter Physics
• +۴ مورد دیگر

Bradley D. Olsen is a full professor in the Department of Chemical Engineering at the Massachusetts Institute of Technology (MIT), where he leads research at the intersection of polymer science, soft matter physics, and bioengineering. His work focuses on designing materials for critical applications in biotechnology, hemostasis, and sustainable polymer development while advancing fundamental understanding of polymer network mechanics and self-assembly. Education: Ph.D. in Chemical Engineering, University of California Berkeley (2007) S.B. in Chemical Engineering, Massachusetts Institute of Technology (2003) Olsen's research spans protein-based materials, block copolymer phase behavior, and mechanochemical hydrogels. He has pioneered methods for quantifying polymer network topology, developing hemostatic nanoparticles, and creating bio-inspired materials for selective biomolecular transport and medical applications. His recent publications emphasize data-driven approaches to polymer characterization and educational outreach in materials science. Scientific Awards: American Physical Society (APS) Fellow (2023) Fulbright Amazonia Scholar (2023) Alexander and I. Michael Kasser Chair in Chemical Engineering (2021) ACS Macro Letters Young Investigator Award (2021) MIT Committed to Caring Honor (2019) AIChE Owens Corning Early Career Award (2019) APS Dillon Medal (2018) Kavli Emerging Leader in Chemistry (2017) ACS Polymer Division Fellow (2016) Camille Dreyfus-Teacher Scholar (2015) Alfred P. Sloan Research Fellow (2014) NSF Career Grant (2013) NIH Postdoctoral Fellowship (2008-2009) Hertz Fellow (2003-2007) Barry M. Goldwater Scholarship (2002) Olsen has received significant grant support including NSF Career (2013) and AFOSR (2012) awards. His teaching activities include innovative international outreach like the 2025 soccer-themed science camp in Brazil. The Olsen Group at MIT explores advanced materials with applications ranging from trauma care to sustainable polymers.

Michael McAlpineمشاهده پروفایل

استاد

• 3D Printing
• Nanotechnology
• Biomedical Engineering
• +۴ مورد دیگر

Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award

• Digital Strategy
• Innovation Management
• Open Innovation
• +۷ مورد دیگر

Christopher L. Tucci is a Professor of Digital Strategy & Innovation at Imperial College London's Business School and currently serves as Interim Vice Dean of Education. He is also the Founding Dean of NEOM's College of Business & Innovation in Saudi Arabia. Previously, he held the Chair in Corporate Strategy & Innovation at École Polytechnique Fédérale de Lausanne (EPFL), where he served as Dean of the College of Management from 2013 to 2018. His academic qualifications include a PhD in Management from MIT and multiple degrees from Stanford University: an AB in Music, BS in Mathematical Sciences, and MS in Computer Science and Computer Science. His research focuses on digital strategy, innovation management, open innovation, and business model innovation, with particular emphasis on how firms transition to new technologies and organizational forms. He has pioneered work on crowdsourcing, inter-networking, and AI-driven innovation. His award-winning article 'Crowdsourcing as a Solution to Distant Search' (co-authored with Allan Afuah) has received multiple accolades, including the AMR Decade Award in 2022. Professor Tucci teaches courses such as AI Ventures, Co-Creation in AI & Robotics, and Design Thinking. He actively contributes to academic leadership roles, including serving on the Academy of Management's Board of Governors and leading initiatives like Imperial's I-X (Artificial Intelligence and Digital Innovation hub). His work integrates technology, strategy, and organizational dynamics to address modern business challenges. Educations: PhD in Management, MIT (1992–1997) SM in Technology & Policy/EECS, MIT (1989–1991) BS in Mathematical Sciences, Stanford (1978–1982) AB in Music, Stanford (1979–1983) MS in Computer Science, Stanford (1982–1984) Labs/Teams: Co-Director of Imperial's I-X initiative, focusing on AI, data science, and digital innovation.

Mengliang Zhangمشاهده پروفایل

دانشیار

• Forensic Chemistry
• Food and Agricultural Chemistry
• Metabolomics
• +۱۲ مورد دیگر

Mengliang Zhang is an Associate Professor in the Department of Chemistry and Biochemistry at Ohio University, College of Arts and Sciences. He leads an interdisciplinary research group focused on mass spectrometry and chemometrics, with applications in forensic, food, agricultural, environmental, and material sciences. His lab develops innovative analytical strategies for detecting toxicants, characterizing nanomaterials, and profiling metabolites in botanicals and food systems. Ph.D., Chemistry, Ohio University, 2015 Dr. Zhang’s research integrates instrumentation, chemometrics, and computational tools to address complex analytical challenges. His group works on forensic fiber and ignitable liquid analysis, plant metabolomics, nanomaterial surface chemistry, and environmental toxicant monitoring. His work is highly interdisciplinary, bridging chemistry, data science, and real-world applications in forensics and public health. His recent publications demonstrate a strong trend in advancing ambient ionization mass spectrometry (especially DART-MS), chemometric modeling, and metabolite profiling across diverse matrices—from fire debris to broccoli microgreens. His work increasingly emphasizes automation, quantitation, and database development for botanical phytochemicals. Scientific honors include the MTSU Distinguished Research Award (Early Career), and his students have received prestigious awards such as the Goldwater Scholarship and multiple URECA recognitions. He is actively supported by federal grants from NSF, USDA, DOE, DOJ (NIJ), and FEMA. Dr. Zhang mentors a vibrant research team of graduate and undergraduate students, guiding them in publishing high-impact research and presenting at national conferences like ASMS, Pittcon, and AAFS. He has organized sessions at SciX and served on editorial boards of Journal of Forensic Sciences and Journal of AOAC INTERNATIONAL . His lab recently relocated to Ohio University in August 2024, equipped with advanced instrumentation including UHPLC-QTOF-MS and DART-MS systems.

• Sustainable Tourism
• Tourism Marketing
• Sharing Economy in Tourism
• +۶ مورد دیگر

Sergio Moreno Gil is a Professor in the Department of Economics and Business Management at Universidad de Las Palmas de Gran Canaria (ULPGC), Spain. He is affiliated with the GIR TIDES research group (Economy, Environment, Sustainability and Tourism) and the Institute of Tourism and Sustainable Economic Development. His academic work focuses on tourism economics, marketing, and sustainability within the Social and Legal Sciences branch. Dr. Moreno Gil's research interests span across multiple dimensions of contemporary tourism. His primary focus areas include sustainable tourism development, destination marketing, sharing economy platforms in tourism, and consumer behavior analysis. He has made significant contributions to understanding tourism in the Canary Islands, particularly through his work with the Canary Islands Tourism Observatory. His research integrates traditional tourism studies with emerging fields like neurotourism and biometric analysis of tourist experiences. His publication record shows a clear trend toward addressing contemporary challenges in tourism. Recent works focus on sustainability in mass tourism destinations, the impact of sharing economy platforms, gastronomic tourism marketing, and collaborative tourism networks. His research demonstrates a strong methodological diversity, employing bibliometric analysis, social network analysis, and empirical studies of tourist behavior. Dr. Moreno Gil has been actively involved in the Canary Islands Tourism Observatory, contributing to annual reports on tourism sustainability in the region. His collaborative work spans across the Ibero-American region, with numerous co-authorships reflecting international research networks in tourism studies.

Amilcare Porporatoمشاهده پروفایل

استاد

• Ecohydrology
• Soil-Atmosphere Interaction
• Hydrologic Time Series
• +۲ مورد دیگر

Amilcare Porporato is the Thomas J. Wu '94 Professor of Civil and Environmental Engineering at Princeton University, with joint appointment at High Meadows Environmental Institute. His research integrates hydrology, ecology, and thermodynamics to study soil-water interactions and sustainable resource management. Education includes: Ph.D. Polytechnic of Milan (1996) M.S. Civil Engineering, Polytechnic of Milan (1992) Research explores nonlinear hydrologic systems, soil moisture dynamics, ecohydrology, and environmental complexity using theoretical and experimental approaches. His work advances understanding of water-biota interactions across scales from pore-level processes to landscape evolution. Honors and Awards: Hydrologic Sciences Award, AGU Borland Lecturer American Geophysical Union Fellow Inaugural Landolt Chair, EPFL Teaches courses on Environmental Thermodynamics (ENV 385/CEE 385) and Ecohydrology (CEE 587/ENV 587).

• Human Nutrition
• Functional Foods
• Dietary Habits
• +۳ مورد دیگر

Dr. Aslı Özen is an Associate Professor in the Faculty of Health Sciences at Final International University . Her academic focus lies in human nutrition, functional foods, and dietary behavior analysis. Doctoral Degree : Human Nutrition, Universitat de les Illes Balears (2012) Master's Degree : Food Engineering, Istanbul Technical University (2006) Bachelor's Degree : Food Engineering, Istanbul Technical University (2003) Her research explores functional food consumption, beverage hydration patterns, and dietary shifts influenced by global events like the COVID-19 pandemic , with cross-cultural studies comparing European and international populations. Her work emphasizes Mediterranean diet adherence and the structural properties of food products. Key publication trends focus on nutritional epidemiology , public health interventions , and food science applications , particularly in fermented dairy products and sustainable gastronomy tourism.

Juliana Cohenمشاهده پروفایل

استاد

• Nutrition
• Public Health
• School Nutrition Policy
• +۴ مورد دیگر

Juliana Cohen is a Professor in Nutrition and Public Health at Merrimack College’s School of Nursing and Health Sciences. Her research focuses on school nutrition policies, health disparities, and dietary interventions to improve child health outcomes. She founded the NOURISH Lab , which evaluates policies to reduce diet-related disparities in children, funded by NIH and foundations. Her work has influenced USDA school meal standards and the Community Preventive Services Task Force recommendations. Education : Sc.D. in Nutrition (Harvard), M.Sc. in Human Development and Health (Harvard), B.A. in Italian Studies (Emory) Research Areas : School nutrition, behavioral economics, health disparities, diet-cognition links Her recent publications analyze universal free school meals, chemical exposure in meals, and pandemic impacts on food programs. Awards include NIH K01 funding and Obesity Society fellowship.

Ellen Riloffمشاهده پروفایل

استاد

• Natural Language Processing
• Artificial Intelligence
• Sentiment Analysis
• +۳ مورد دیگر

Ellen Riloff serves as Department Head and Professor in the Department of Computer Science at the University of Arizona, where she leads research at the intersection of natural language processing (NLP) and artificial intelligence. Her work bridges theoretical advancements with real-world applications in social computing, planetary science, and crisis response systems. Education: Ph.D. in Computer Science, University of Massachusetts at Amherst (1994) Research Focus: Dr. Riloff specializes in affective computing and information extraction , developing techniques to recognize emotion, social cues, and embodied expressions in text. Her methodologies frequently employ bootstrapping, stacked learning, and semantic lexicon induction. Recent projects address crisis informatics (e.g., social cue recognition in emergencies) and interdisciplinary applications like the Mars Target Encyclopedia for planetary science data extraction. Publication Trends: Analysis of her 15 most recent publications (2021–2025) reveals three dominant trajectories: (1) affective event modeling in social contexts with applications to crisis response; (2) domain-specific NLP for planetary science and food systems; and (3) advanced language model techniques including retrieval-augmented generation and multi-view prompting. Her work increasingly integrates deep learning with traditional linguistic features. Grants and Leadership: Dr. Riloff has directed multiple NSF-funded projects, including RI: Small: Recognizing Implicit Personal States in Natural Language (2016) and RI: Small: Acquiring Domain Knowledge from Text through Cooperative Bootstrapping (2010). These initiatives pioneered bootstrapping frameworks for affective event recognition and information extraction. She also co-organized the Workshop on Pattern-based Approaches to NLP (2023), highlighting her leadership in advancing hybrid NLP methodologies. Collaborative Infrastructure: She co-developed the Mars Target Encyclopedia—a large-scale information extraction system that processes planetary science literature to create structured databases of Mars surface targets. This project demonstrates her commitment to building reusable scientific infrastructure through NLP.

Nico Van de Wegheمشاهده پروفایل

استاد

• GeoAI
• GIScience
• Spatiotemporal Analysis
• +۸ مورد دیگر

Prof. dr. Nico Van de Weghe is a full Professor of GIScience at the University of Ghent (UGent), affiliated with the CartoGIS research unit. His work bridges computer science, social science, and natural science through geospatial information studies, focusing on enabling machines to reason spatially (GeoAI). Since 2004, he has specialized in knowledge-based AI, particularly spatiotemporal reasoning and moving object analysis, with applications in animal behavior, criminology, healthcare, mobility, and sports. Van de Weghe's research emphasizes hybrid GeoAI systems combining knowledge-driven and data-driven approaches. Keywords include GeoAI, GIScience, Spatiotemporal Analysis, Moving Objects, and Data Mining. Recent publications highlight urban road network analysis, hybrid trajectory modeling, BIM semantic enrichment, and cycling safety studies using virtual reality.