جست‌وجوی استاد و پژوهشگر

Christopher E. Carrمشاهده پروفایل

استادیار

• Aerospace Engineering
• Bioengineering
• Bioinformatics
• +۱۱ مورد دیگر

Christopher E. Carr is an Assistant Professor at the Daniel Guggenheim School of Aerospace Engineering in the College of Engineering at Georgia Institute of Technology, with a secondary appointment in the School of Earth and Atmospheric Sciences in the College of Sciences. He runs the Planetary eXploration Lab (PXL) and is a member of the Space Systems Design Lab (SSDL). His work focuses on searching for and expanding the presence of life beyond Earth while enabling a sustainable human future in space environments. Dr. Carr's research interests include: Astrobiology and space biology Development of life detection instruments Microbial habitability in extreme environments Molecular evolution and biosignature detection Miniaturization and integration of scientific instrumentation Interplanetary mission design Micro and nano device engineering for space applications His recent publications demonstrate a strong focus on life detection technologies, planetary exploration, and space biology. The articles span topics from developing biosignature detection methods to analyzing microbial survival in extreme environments, with particular attention to Mars, Venus, and Europa exploration. Scientific awards and recognitions include: Scott M. Johnson Fellow in the U.S. Japan Leadership Program Dr. Carr's laboratory affiliations include: Planetary eXploration Lab (PXL) Space Systems Design Lab (SSDL) He is affiliated with the Center for Space Technology and Research at Georgia Tech.

Omer T Inanمشاهده پروفایل

استادیار

• Biomedical Engineering
• Medical Devices
• Physiological Monitoring
• +۷ مورد دیگر

Omer T Inan is the Regents Entrepreneur Endowed Chair and Assistant Professor at the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology. His work bridges biomedical engineering and wearable technology, focusing on non-invasive physiological monitoring for chronic disease management. He holds a Ph.D. in Electrical Engineering from Stanford University (2009) and previously worked at Countryman Associates (2007-2013) as Chief Engineer, developing professional audio systems. Education: B.S., M.S., Ph.D. in Electrical Engineering, Stanford University (2004-2009) His research interests include medical devices for home-based cardiovascular monitoring, musculoskeletal sound analysis, and neuromodulation of stress responses. He has pioneered technologies for heart failure patients, PTSD treatment, and osteoarthritis diagnostics. Recent publications highlight innovations in AI-driven cardiac parameter estimation, motion artifact removal in seismocardiograms, and multimodal stress tracking via wearables. His work spans biomedical signal processing, clinical translation, and portable diagnostic systems. Scientific Awards 2024 IEEE Fellow 2023 IEEE Distinguished Lecturer 2023 American College of Cardiology Fellow 2022 American Institute for Medical and Biological Engineering Fellow 2021 Academy Award for Technical Achievement (The Oscars) 2018 ONR Young Investigator Award 2018 NSF CAREER Award At Georgia Tech, Inan leads the Inan Research Lab, which develops technologies for physiological monitoring and modulation. Projects include musculoskeletal sound analysis for joint health, non-invasive cardiovascular sensing, and neuromodulation to treat PTSD via vagal nerve stimulation.

Samuel Jean Bassettoمشاهده پروفایل

دانشیار

• Industrial Engineering
• Artificial Intelligence
• Cognitive Science
• +۴ مورد دیگر

Samuel Jean Bassetto is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He serves as Director of the Continuous Improvement Laboratory (LABAC) and holds membership in multiple prestigious research groups including the Research Group on Globalisation and Management of Technology (GMT), Poly-Industries 4.0 Laboratory, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), and Institute for Data Valorization (IVADO). Dr. Bassetto's research spans multiple disciplines, focusing on continuous improvement through the integration of engineering, artificial intelligence, cognitive science, psychology, and design. His primary sphere of excellence is in New Frontiers in Information and Communication Technologies, with secondary expertise in Modeling and Artificial Intelligence and Human Health. He develops tools that place humans at the center of technology to enhance organizational performance while respecting human rhythms and cognitive limitations. His recent publication portfolio reveals a strong interdisciplinary approach, with research bridging industrial engineering, cognitive neuroscience, and AI ethics. His work addresses practical challenges in lean manufacturing assessment, racial bias in medical AI systems, cognitive data collection in natural environments, and condition monitoring for industrial machinery. The research consistently demonstrates a commitment to developing practical solutions that integrate human factors with technological innovation. NSERC Synergy Prize for Innovation recipient Principal investigator on multiple research grants from NSERC, FRQ, and MITACS Collaborations with over a dozen institutions across multiple countries Supervision of over 150 highly qualified personnel throughout his career Dr. Bassetto teaches specialized courses including CAP7011 (Creativity in Research), IND8444 (Continuous Improvement), IND8203 (Industrial Launch), and previously taught IND8178 (Production). His teaching philosophy emphasizes practical application, with courses featuring hands-on exercises, real-world scenarios, and gamification techniques to enhance learning. His supervision portfolio includes numerous Ph.D. and Master's students working on topics ranging from human-technology collaboration to reinforcement learning for production management. Through LABAC, Dr. Bassetto leads research initiatives focused on developing human-centered tools for continuous improvement in organizational settings. The laboratory conducts projects related to industrial IoT applications, cognitive aspects of process improvement, and the development of practical frameworks for organizations to enhance performance while maintaining respect for human rhythms and cognitive capabilities.

• Neuroimaging
• Structural brain segmentation
• Multimodal population modeling
• +۶ مورد دیگر

Mark Jenkinson is a Professor of NeuroImaging at the University of Oxford's Nuffield Department of Clinical Neurosciences and also holds positions at the University of Adelaide's Australian Institute for Machine Learning and the South Australian Health and Medical Research Institute (SAHMRI). He heads the Structural Modelling and Analysis Group at the FMRIB Centre, where his research focuses on multimodal population modeling and structural brain segmentation. Education: DPhil in Robotics Research (University of Oxford, 1999) BSc (Hons I) in Mathematical Physics (University of Adelaide, 1994) BE (Hons I) in Electrical and Electronic Engineering (University of Adelaide, 1993) Professor Jenkinson's research spans two major themes: multimodal modeling of populations to describe disease processes and apply to individual patient diagnoses, and structural segmentation and analysis of brain anatomy and pathology, particularly focusing on sub-cortical structures and lesions. His work integrates advanced computational methods with neuroimaging to develop tools for understanding neurological disorders. As the developer of key components of the FMRIB Software Library (FSL), he has significantly contributed to standard neuroimaging analysis pipelines used worldwide. His recent publications demonstrate a strong focus on deep learning applications in neuroimaging, uncertainty quantification in medical AI, and advanced segmentation techniques. There's a clear trend toward developing more robust, anatomically plausible models that preserve topological structures while improving diagnostic capabilities for conditions like multiple sclerosis, Huntington's, and Parkinson's diseases. Scientific Awards: Highly Cited Researcher (Clarivate Analytics 2018-2021, Thomson Reuters 2014-2016) ISMRM Outstanding Teacher Award (2009, 2014) Teaching Excellence Award, University of Oxford (2012) David Phillips Fellowship from BBSRC (2005-2010) Professor Jenkinson has supervised over 25 doctoral students whose work spans brain segmentation, connectivity analysis, and clinical applications of neuroimaging. His research is supported by significant grants including the Medical Research Future Fund (AU$2m), Wellcome Trust Centre for Integrative Neuroimaging (£11m), and NIH Human Connectome Project (US$30m), reflecting the high impact and translational potential of his work. As head of the Structural Modelling and Analysis Group at FMRIB, Jenkinson leads a team developing the FSL (FMRIB Software Library), one of the most widely used neuroimaging analysis packages globally. His group collaborates extensively with clinical researchers on applications ranging from multiple sclerosis to traumatic brain injury, translating computational advances into clinical practice.

ChanMin Kimمشاهده پروفایل

استاد

• Educational Technology
• Computer Science Education
• Science Writing
• +۳ مورد دیگر

ChanMin Kim is a Professor in the Learning and Performance Systems department at Penn State College of Education. With over 80 publications and 2553 citations, their work focuses on integrating artificial intelligence , robotics , and educational technology into science and computer science education. Research interests: Science writing, AI-human partnerships, robotics in education, equity-focused technology design Key methodologies: Natural Language Processing, learning analytics, scaffolding strategies Recent work explores large language models in education, debugging processes in pre-service teacher training, and automated assessment systems for science explanations. While the provided data doesn't show specific scientific awards or student advisees, their publications in venues like British Journal of Educational Technology and Journal of Science Education and Technology demonstrate significant contributions to learning sciences. Kim collaborates extensively with researchers in AI, educational technology, and equity-focused domains.

Ezra Golbersteinمشاهده پروفایل

استاد

• Health economics
• Health care policy
• Mental health
• +۴ مورد دیگر

Ezra Golberstein, PhD, is a Professor in the Division of Health Policy & Management at the University of Minnesota's School of Public Health. His academic journey includes a PhD in Health Services Organization and Policy from the University of Michigan (2008) and a BA from Brandeis University (2001). His research focuses on the intersection of health services and policy research with health economics, particularly in mental health services and policy. Golberstein's research interests span health economics , health care policy , mental health , quantitative methods , health insurance , human capital , and non-medical determinants of health . His work examines how health insurance changes, provider incentives, and practice innovations affect healthcare use and outcomes for people with mental health problems. He has published extensively on mental health services utilization, insurance coverage effects, and policy interventions aimed at improving mental healthcare access and quality. His publication record shows consistent scholarly output from 2007 through 2023, with recent work focusing on healthcare delivery innovations, mental health economics, and the impact of policy changes on vulnerable populations. His research demonstrates methodological rigor using quantitative approaches to address pressing questions in health policy. Member, Delta Omega Honorary Society in Public Health Golberstein's research has significant implications for health policy development, particularly in mental healthcare financing and delivery systems. His work on geographic variations in mental health services, insurance parity effects, and innovative service delivery models provides evidence to inform policymakers and healthcare administrators. His studies on college student mental health have contributed to understanding barriers to care and developing more effective campus mental health programs.

Mark Eppingerمشاهده پروفایل

دانشیار

• Microbial Genomics
• Bioinformatics
• Infectious Diseases
• +۵ مورد دیگر

Mark Eppinger, Ph.D., is an Associate Professor in the Department of Molecular Microbiology and Immunology at The University of Texas at San Antonio (UTSA), within the College of Sciences. His research is centered on microbial genomics and bioinformatics, with a focus on understanding infectious diseases caused by bacterial pathogens such as Yersinia pestis , Vibrio cholerae , and Escherichia coli O157:H7. Department: Molecular Microbiology and Immunology School: College of Sciences University: The University of Texas at San Antonio Email: Mark.Eppinger@utsa.edu Phone: 210-458-6276 Lab: BSE 3.404 Dr. Eppinger earned his Ph.D. in Microbial Genetics from the Max-Planck Institute for Developmental Biology and the University of Tübingen, Germany, and a B.S. in Biology from the same institution. Ph.D. in Microbial Genetics, Max-Planck Institute for Developmental Biology, University of Tübingen B.S. in Biology, University of Tübingen His research program applies microbial genomics and bioinformatics to investigate the evolutionary and ecological dynamics of bacterial pathogens. He focuses on phylogenomics, genome plasticity, virulence determinants, and host-pathogen interactions. His lab generates genomic data to understand how genetic variation influences transmissibility, infectivity, and disease outcomes in major public health threats. The available publications reflect a consistent focus on the genomics of foodborne and epidemic bacterial pathogens. Both book chapters deal with the genomic analysis of Escherichia coli and Yersinia , emphasizing evolutionary patterns, virulence mechanisms, and molecular epidemiology. These works highlight his expertise in integrating genomic data with public health applications. Dr. Eppinger has mentored a wide range of students, including doctoral candidates, postdoctoral researchers, master's students, and undergraduates. His lab has hosted international exchange students and Fulbright Fellows, indicating a collaborative and globally engaged research environment. He leads the Eppinger Lab at UTSA, which is part of the South Texas Center for Emerging Infectious Diseases (STCEID). The lab conducts cutting-edge genomic research on emerging pathogens and contributes to the development of diagnostic and therapeutic strategies to reduce human morbidity.

Lorin M. Hittمشاهده پروفایل

استاد

• Information Technology and Productivity
• Economics of Electronic Commerce
• Information Systems and Organization
• +۶ مورد دیگر

Lorin M. Hitt serves as the Zhang Jindong Professor of Operations, Information and Decisions at the University of Pennsylvania's Wharton School. His distinguished career spans multiple domains at the intersection of information technology, economics, and business strategy. As a leading scholar in IT productivity and innovation, he maintains an active research agenda while teaching undergraduate and graduate courses in information systems and data analysis. Professor Hitt's research interests focus on the relationship between information technology and productivity, with particular emphasis on complementary factors such as organizational design and human capital that affect the value of IT investments. His current work explores the economics of IT labor mobility, enterprise software contracting, recommender systems' influence on consumer behavior, measurement of intangible assets, and pricing information goods. His research increasingly examines IT deployment in healthcare settings and the role of the IT workforce in relation to issues like offshoring and the H1-B visa program. His research publications demonstrate consistent contributions to top-tier journals, with recent work analyzing how data analytics mitigates post-IPO innovation decline, digital capital accumulation in superstar firms, and the relationship between analytics skills and firm productivity. His publication record shows sustained scholarly output across multiple domains of information systems research. Best Paper Runner-up – Management Science, 2014 Best Paper – Information Systems Research, 2013 Multiple Wharton Excellence in Teaching Awards (2003, 2007-2008, 2011) David Hauck Award for Distinguished Teaching, 1999 National Science Foundation Career Grant Recipient, 1998 Lindback Award for Distinguished Teaching, 1998 Professor Hitt teaches multiple courses including OPIM101 (Introduction to OPIM), OPIM105 (Data Analysis in VBA and SQL), OPIM469 (Information Strategy and Economics), and OPIM955 (Doctoral Seminar in IS Economics). His teaching focuses on information systems management, economics, data analysis, and advanced analytical methods. Beyond academia, he consults on IT outsourcing agreements and IT investment evaluation, and occasionally serves as an expert witness in technology-related litigation.

Richard Eberhardtمشاهده پروفایل

مدرس

• Serious Games
• Educational Games
• Game Design
• +۵ مورد دیگر

Richard Eberhardt serves as Program Manager for the MIT Game Lab and instructor for MIT Game Lab classes at the Massachusetts Institute of Technology, where he aligns research projects with staff, equipment, and funding while mentoring student game development initiatives. His operational leadership supports the lab's mission to advance game literacy through interdisciplinary collaboration. His academic credentials include: Bachelor of Arts from the College of William & Mary Serious Games MA Certificate from Michigan State University Professional certifications: Certified Scrum Master PMI Agile Certified Practitioner Eberhardt's research investigates historical representation in games, analyzing how mechanics model historical systems and which narratives are amplified or marginalized in gaming communities. His scholarship spans serious games for mental health awareness, educational applications of VR/AR technologies, and inclusive game jam methodologies, consistently addressing public literacies through civic systems and emotional intelligence frameworks. Analysis of his 2013-2023 publications reveals sustained focus on game-based educational tools across STEM and humanities domains. His work pioneers VR simulations for photonics education, examines historical accuracy in commercial games, and develops inclusive frameworks for collaborative design events. This output demonstrates strategic integration of game mechanics with learning objectives while addressing representation gaps in historical gaming. Notable recognition includes an award for elude , the depression awareness game developed in 2010 for patients' support networks. As a mentor, Eberhardt directs student projects like elude and hosts game jams fostering community collaboration. His Agile-certified project management approach facilitates resource allocation across educational initiatives, though specific grant details remain undisclosed in available materials. The MIT Game Lab operates as his primary research ecosystem, connecting students, faculty, and community partners to explore games' transformative potential in education and social contexts through its Civic Systems, Media & Emotional Intelligence pillar.

Jennifer Mankoffمشاهده پروفایل

استاد

• Accessibility
• Human-Computer Interaction
• Artificial Intelligence
• +۹ مورد دیگر

Jennifer Mankoff is the Richard E. Ladner Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington. She previously held faculty positions at UC Berkeley’s EECS department and Carnegie Mellon’s HCI Institute. Her research focuses on accessibility, empowering disabled individuals through technologies like generative AI, 3D printing, and computational knitting. Education : PhD in Computer Science from Georgia Tech (advised by Gregory Abowd and Scott Hudson), BA from Oberlin College. Her work addresses technical challenges in accessibility across domains such as higher education, health, and DIY solutions. She leads the Make4All Group and the Center for Research and Education on Accessible Technology and Experiences (CREATE). Awards include the SIGCHI Social Impact Award, IBM Faculty Fellowship, and ASSETS 10-Year Impact Award. Scientific Awards : SIGCHI Social Impact Award Alfred P. Sloan Fellowship IBM Faculty Fellowship ASSETS 10-Year Impact Award CHI Academy Member Mankoff has mentored over 50 undergraduate and graduate students, including current faculty members like Julie Kientz and Gary Hsieh. She advocates for inclusive curriculum development, teaches courses on data-centric computing and HCI, and provides mentorship on navigating academia with disabilities. Contact : jmankoff@cs.uw.edu | jmankoff@acm.org | 206-685-3035

• Cancer Genomics
• Liquid Biopsies
• Machine Learning in Oncology
• +۷ مورد دیگر

Ash A. Alizadeh is the Moghadam Family Professor of Medicine, Oncology, and Hematology (by courtesy) at Stanford University, where he serves as leader of the Cancer Genomics Program at Stanford Cancer Institute. He holds multiple academic appointments including Professor in Medicine - Oncology, and membership in Bio-X, the Institute for Stem Cell Biology and Regenerative Medicine, and the Maternal & Child Health Research Institute (MCHRI). Dr. Alizadeh received his BS in Biochemistry from UCLA (1994), MD from Stanford Medical School, and PhD in Biophysics from Stanford. He completed additional training at the National Cancer Institute (NCI), the National Institutes of Health (NIH), and the Howard Hughes Medical Institute (HHMI). His primary research focuses on developing and applying genome technologies and computing (machine learning & data science) to problems in human disease, with special emphasis on cancer detection, classification, monitoring, and tumor immunology. His laboratory pioneers noninvasive cancer genomic techniques including CAPP-Seq, PhasED-Seq, and EPIC-Seq for "liquid biopsies" that analyze circulating nucleic acids for early cancer detection and monitoring therapeutic response. Using machine learning approaches, his group studies how cellular compositional variation impacts cancer behavior and therapeutic response, including anti-tumor immunity. His work spans molecular, cellular, organism and population levels of tumor behavior analysis. Dr. Alizadeh has received numerous prestigious awards including the Scholar Award from the American Society of Hematology (ASH), the Leukemia & Lymphoma Society (LLS), the V-Foundation, as well as awards from the American Red Cross, Damon Runyon Cancer Research Foundation, and Doris Duke Charitable Research Foundation. He is an elected member of the American Society for Clinical Investigation (ASCI) and serves on the Scientific Advisory Board of the Lymphoma Research Foundation (LRF). As an educator and mentor, Dr. Alizadeh advises numerous doctoral students, postdoctoral fellows, and medical scholars. He teaches in the Department of Medicine and Immunology and serves on various admissions panels at Stanford. His laboratory, the Alizadeh Lab, is a hub for interdisciplinary cancer genomics research that combines computational biology, molecular genetics, and clinical oncology to develop novel cancer diagnostics and therapeutics.

• Educational Psychology
• School Culture
• Emotional Intelligence in Education
• +۳ مورد دیگر

Ali Akdoğan is an Assistant Professor in the Department of Educational Sciences at Final University. His academic career spans over two decades with doctoral studies completed in 2014, following a Master's degree in 1995 and Bachelor's degree in 1992. Educational Background: Doctoral Degree: 2014 Master's Degree: 1995 Bachelor's Degree: 1992 Research Interests: Dr. Akdoğan's work explores educational psychology, teacher development, and the impact of global educational frameworks like the International Baccalaureate program. His research analyzes school culture, emotional intelligence in educational settings, and pandemic-induced distance learning challenges. Publication Trends: Recent work (2021-2022) focuses on psychological impacts of the pandemic on students, effectiveness of international educational programs, and teacher emotional intelligence. Earlier research (2002, 1995) examines social capital and personnel selection in educational institutions.

Qihao Wengمشاهده پروفایل

استاد

• Remote Sensing
• GIScience
• Urban Climatology
• +۵ مورد دیگر

Professor Qihao Weng is Chair Professor of Geomatics and Artificial Intelligence at The Hong Kong Polytechnic University, where he leads the Research Institute for Land and Space. A globally recognized scholar, he bridges geography, landscape ecology, and environmental science through innovative geospatial analytics, GeoAI, and big data methodologies. His work focuses on urban climatology, sustainability science, and human-environment interactions, with over 279 publications and 14 books. PhD, The University of Georgia MA, The University of Arizona MS, South China Normal University Professor Weng's research explores remote sensing applications for urban environmental challenges, including thermal comfort, heat islands, and land-use changes. He pioneered global-scale urban observation via the Group on Earth Observation (GEO) initiative and developed frameworks integrating geospatial technology with climate resilience strategies. Recent publications highlight advancements in GeoAI for urban thermal stress assessment, road extraction algorithms, and multi-temporal data fusion techniques. His work spans interdisciplinary domains, connecting remote sensing, urban science, and sustainability metrics across diverse climate zones. NASA Senior Fellowship (2008) Taylor & Francis Lifetime Achievements Award (2019) AAG Wilbanks Prize (2024) Lifetime Achievement in Remote Sensing Award (2024) Academia Europaea Foreign Member (2021) As Editor-in-Chief of the ISPRS Journal, Professor Weng has advanced global remote sensing discourse. His research has been supported by NSF, NASA, USAID, Microsoft, and Hong Kong Research Grant Council. He has delivered over 130 invited talks and established visiting professorships in Japan, France, and China.

Jodi Schneiderمشاهده پروفایل

دانشیار

• Controversies in Science
• Science of Science
• Argumentation and Evidence
• +۱۲ مورد دیگر

Jodi Schneider is an Associate Professor at the University of Illinois Urbana-Champaign , with affiliate appointments at the Beckman Institute , Health Care Engineering Systems Center , European Union Center , and Center for Health Informatics . She directs the Information Quality Lab and focuses on the science of science through argumentation and evidence analysis. PhD in Informatics (National University of Ireland, Galway) M.S. in Library and Information Science (UIUC) M.A. in Mathematics (UT-Austin) B.A. in Liberal Arts (St. John's College) Her research examines how scientific controversies persist through citation patterns, the role of knowledge brokers in public policy, and information quality in biomedical contexts. She has developed semantic frameworks for micropublications and knowledge maintenance in digital libraries. Recent publications include citation integrity studies in Scientometrics , retraction indexing in STI Conference , and argumentation mining in Human Language Technologies . Collaborative projects span institutions like Harvard Radcliffe Institute and RWTH Aachen . NSF CAREER Award IMLS Early Career Award Senior Member, Association of Computing Machinery Marie Curie Fellow She advises graduate students in information quality and knowledge representation , with funding from the Alfred P. Sloan Foundation , NIH , and European Commission . Her lab develops tools to combat scientific misinformation and improve public health informatics .

Duncan Wilsonمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Artificial Intelligence (AI)
• Smart Cities
• +۷ مورد دیگر

Duncan Wilson is a Professor of Connected Environments at the Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London. His work bridges academia and industry, focusing on IoT, AI, and spatial analysis to enhance understanding of built and natural environments. Current role: Professor of Connected Environments at UCL Education: PhD in Artificial Intelligence and Machine Vision (UCL, 1997), BEng (Hons) in Electrical Engineering (Loughborough University, 1993) Research interests include: Cognitive computing at the network edge Extraordinary sensory systems for data capture Spatial reasoning and digital twins IoT for healthcare and biodiversity Edge AI and TinyML Recent articles span digital twin development , IoT for biodiversity monitoring , and smart healthcare infrastructure . He has received recognition for collaborative R&D approaches during his directorship at Intel's Sustainable Connected Cities institute. Teaching: Leads MSc Connected Environments and modules on IoT ethics, AI on microcontrollers, and sensor network deployment Projects: IoT Living Lab at UCL, Project Hercules for eye clinic analytics, and Shazam for Bats environmental monitoring Professional activities: Former Director of Intel Collaborative Research Institute (2012-2018), ex-member of Smart London Board (2017-2022)