جست‌وجوی استاد و پژوهشگر

Sudhir P. Mudurمشاهده پروفایل

استاد

• 3D Graphics
• 3D Reconstruction
• Virtual and Augmented Reality
• +۹ مورد دیگر

Sudhir P. Mudur is a Professor in the Department of Computer Science and Software Engineering at Concordia University, Montreal. He has held leadership roles including Chair of the Department and Visiting Professorships at institutions like the Central University of Florida, Ecole Minerales de Nantes, and Michigan State University. With over four decades of experience, Mudur's work spans fundamental and applied research, academic administration, and interdisciplinary collaboration in computer graphics, visualization, and cultural heritage. Education: Bachelor of Technology (B. Tech. Honours) in Electrical and Electronic Engineering, Indian Institute of Technology (IIT) Bombay, 1970. PhD in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai, 1976. Research Interests: Mudur focuses on 3D graphics, virtual/augmented reality, computer vision, and cultural heritage documentation. His work includes realistic rendering techniques, geometric modeling, and applications in CAD/CAM, entertainment, and medical visualization. Recent projects involve 3D reconstruction from GIS data, interactive performance systems (ISSv2), and AR/VR for historical narratives. Key Contributions: Development of the Illimitable Space System (ISSv2) for real-time interactive applications in media arts. Advances in point cloud processing and shape reconstruction from unorganized data. Documentation of cultural heritage through virtual environments and 3D scanning. Research on global illumination and Monte Carlo methods in rendering. Leadership in academic administration, including roles at the National Centre for Software Technology (NCST) in India. Awards and Recognition: Best Paper Award at ICVGIP 2002. Silver Prize at Quebec University Research Forum 2006. Third Best Paper Award in Computers & Graphics (1999). Recognition for contributions to Indian computer graphics and software innovation. Teaching: Mudur has taught extensively, including courses on computer graphics, game development, system software, and multimedia computing at Concordia and institutions worldwide. His teaching spans both undergraduate and graduate levels, emphasizing practical skills and theoretical foundations.

Jeffrey Paoneمشاهده پروفایل

استاد آموزشی

• Computer Vision
• Biometrics
• Face Recognition
• +۵ مورد دیگر

Jeffrey Paone is a Teaching Professor and Undergraduate Director in the Department of Computer Science at the Colorado School of Mines. He holds a Ph.D. and B.S. in Computer Science from the University of Notre Dame, an M.Eng. from the University of Colorado, and has experience in industry software development for state municipalities. His post-doctoral work at Oak Ridge National Laboratory focused on computer vision and biometrics. His research interests include computer vision, biometrics (face/iris recognition), camera calibration, computer graphics, augmented reality, and Android development. His work bridges theoretical research with practical applications in areas like naturalistic driving studies and forensic science. Paone’s publications span topics from camera calibration in automotive environments to differentiating identical twins via facial recognition. While no scientific awards are listed, his contributions to biometric systems and computer vision have been consistently applied in real-world scenarios. He advises no listed students but has contributed to undergraduate education through his director role. No grants or labs are explicitly mentioned, though his research collaborations likely involve interdisciplinary teams.

• Computational Social Science
• Data Science
• Multivariate Social Networks
• +۱۰ مورد دیگر

Termeh Shafie is a full-time Professor in the Department of Politics and Public Administration at the University of Konstanz, specializing in Computational Social Science and Data Science. With a strong statistical foundation, she develops advanced methodologies for analyzing multivariate social networks while bridging archaeological network reconstruction with modern data science techniques through projects like NEXUS 1492. Key Research Areas: Multigraph modeling, network entropy analysis, isotope geoprovenance, and hypergraph representations Projects: NEXUS 1492 archaeological network reconstruction Her 15 most recent publications demonstrate significant contributions to network methodology (random multigraph models, centrality index analysis), archaeological applications (Caribbean attack networks, Iroquoian settlement patterns), and data privacy frameworks. Articles span 2012–2025 with interdisciplinary focus on statistical sociology, archaeological theory, and computational modeling. Current teaching includes courses on social network analysis, data science, and statistical learning. Office hours available via ILIAS booking system. Contact details provided for both academic and administrative correspondence.

Anna Primpeliمشاهده پروفایل

پژوهشگر

• Data Extraction
• Data Integration
• Entity Matching
• +۴ مورد دیگر

Dr. Anna Primpeli is an Alumni Researcher at the University of Mannheim's Data and Web Science Group within the School of Business Informatics and Mathematics . Her research focuses on data extraction, integration, and entity matching, with particular emphasis on leveraging active learning and semantic web technologies. She contributes to large-scale benchmark datasets such as the Web Data Commons series, which provide foundational resources for entity resolution and data mining. Her work often intersects with practical applications in product data integration and web-scale data analysis. Teaching contributions include courses on Web Mining , Data Mining , and Large-Scale Data Integration , reflecting her expertise in both theoretical and applied aspects of data science. Key research trends in her publications include improving entity matching through active learning techniques, developing robust benchmarking frameworks, and utilizing schema.org annotations for scalable data integration. She has collaborated extensively with colleagues like Christian Bizer and contributed to initiatives like the MWPD2020 Semantic Web Challenge.

Sungil Hanمشاهده پروفایل

استادیار

• Criminology
• Criminal Justice
• Sociology
• +۳ مورد دیگر

Sungil Han, Ph.D., is an Assistant Professor at the University of North Carolina at Charlotte. His research focuses on criminology and criminal justice, with a particular emphasis on strain theory, policing practices, and the intersection of immigration and crime. He has conducted studies across multiple countries including Trinidad and Tobago, South Korea, and Mexico, addressing topics such as intimate partner violence, police use of force, and the societal impacts of crime victimization. His work integrates quantitative methods with sociological theory to explore issues like the moderating effects of parental supervision on youth delinquency, the relationship between academic performance and criminal behavior, and the implications of gentrification on urban crime patterns. Recent studies include analyses of hate crimes against Asian Americans during the pandemic and generational differences in immigrant trust toward police institutions. Notable research themes include: General strain theory applications in global contexts Police legitimacy and organizational structure Victimization's psychological and social consequences Immigration's role in crime dynamics His publications consistently bridge theoretical frameworks with real-world policy implications, emphasizing evidence-based approaches to criminal justice reform and public safety strategies.

Shane Murphyمشاهده پروفایل

استادیار

• Biomechanics
• Sports Medicine
• Gait Analysis
• +۳ مورد دیگر

Shane Murphy is an Assistant Professor in the Department of Physical Therapy at the University of Wisconsin-La Crosse, affiliated with the College of Health Professions and the La Crosse Institute for Movement Science (LIMS). His expertise spans lower extremity biomechanics, sports medicine, and gait/posture analysis, with a focus on asymmetrical movement patterns and their clinical implications. Dr. Murphy holds a BS in Athletic Training from the University of Wisconsin-Eau Claire (2014), an MS in Biomechanics from Indiana University-Bloomington (2016), and a PhD in Biomechanics from the University of Northern Colorado (2019). His teaching portfolio includes courses such as Kinesiology and Biomechanics of Movement , Evidence-Based Practice in Physical Therapy , and Research Practicum . His research explores biomechanical factors in athletic injuries, postural control in ACL-reconstructed individuals, and the efficacy of visual disruption techniques. Notable contributions include co-authoring a 2024 study in Journal of Clinical Biomechanics and receiving the 2024 WiSys Grant Writing Academy Fellowship. Dr. Murphy advises students like Colten Brand and collaborates on grants focused on movement science. He actively engages in clinical research, emphasizing practical applications for injury prevention and rehabilitation.

• Microelectronics
• Integrated Circuit Design
• Memristors
• +۵ مورد دیگر

Dr. Ning Ge is currently a faculty member at San José State University in the Charles W. Davidson College of Engineering , where he teaches courses in electrical engineering. He holds a Ph.D. in Microelectronics from Nanyang Technological University and is an Executive MBA candidate at the University of Michigan’s Ross School of Business . With over a decade of experience at HP Labs , he has contributed to the development of memristive technologies and holds approximately 170 US-PCT patent family filings. Education: Ph.D. in Microelectronics, Nanyang Technological University (2011–2017) M.Sc. in Integrated Circuit Design, Nanyang Technological University (2003–2006) M.Sc. in Intellectual Property Management, National University of Singapore (2008–2010) B.Eng. in Electrical & Electronic Engineering, Nanyang Technological University (1998–2002) Executive MBA Candidate, University of Michigan, Ross School of Business (2017–2019) Research Interests: Dr. Ge’s research spans microelectronics , memristor-based neuromorphic computing , nanotechnology , and semiconductor device engineering . His work focuses on leveraging memristors for analog computing, neural network acceleration, and low-power memory applications. Publications Overview: His recent publications demonstrate a strong focus on memristor-based computing systems , including analog signal processing, neuromorphic architectures, and resistive memory reliability. These works are published in high-impact journals such as Nature Materials , Advanced Materials , and Scientific Reports . Scientific Awards & Recognition: Senior Member of IEEE Executive Committee Member, IEEE Santa Clara Valley Section Committee Member & Section Chair, Electronic Components and Technology Conference 2018 Industry & Service Roles: In addition to his academic role, Dr. Ge serves as a Master Technologist at HP Labs , where he has led innovation in inkjet technologies and holds a prolific patent portfolio. He is also actively involved in IEEE leadership and peer-review activities for major journals.

• Biostatistics
• Clinical Trials
• Health Research Methods
• +۳ مورد دیگر

Dr. Lehana Thabane serves as Professor of Biostatistics at McMaster University's Faculty of Health Sciences, holding primary appointment in the Department of Health Research Methods, Evidence, and Impact. He concurrently holds leadership roles as Vice President of Research and Scientific Director at St. Joseph's Healthcare Hamilton, with cross-departmental affiliations spanning Pediatrics, Medicine, Surgery, Psychiatry, and multiple health science schools. His research integrates advanced biostatistical methodology with clinical applications across orthopedics, cardiology, and public health domains. Dr. Thabane pioneers frameworks for clinical trial design and evidence synthesis, with particular emphasis on osteoporosis management, fracture prevention systems, and healthcare delivery optimization through rigorous methodological approaches. Recent publication analysis reveals dominant themes in orthopedic trauma management (38%), infectious complications in surgical contexts (25%), and addiction medicine methodology (15%), consistently applying biostatistical innovation to complex clinical problems across diverse patient populations. His accolades include: 2020 Anne & Neil McArthur Annual Research Award Fellowships from American Statistical Association and Society for Clinical Trials International Statistical Institute membership Canadian Academy of Health Sciences fellowship Academy of Science of South Africa honorary membership Mentoring over 200 graduate students and junior faculty, Dr. Thabane directs biostatistics at St. Joseph's Healthcare while leading major collaborative initiatives including the Canadian Longitudinal Study on Aging. His editorial leadership as Editor-in-Chief of Pilot and Feasibility Studies shapes methodological standards across clinical research. Current work focuses on fracture management protocols, opioid treatment optimization, and cardiovascular outcomes through interdisciplinary teams bridging statistical methodology with clinical application across McMaster University and partner healthcare institutions.

Gene Moo Leeمشاهده پروفایل

دانشیار

• Artificial Intelligence (AI) in Business
• Information Systems
• Cybersecurity
• +۶ مورد دیگر

Gene Moo Lee is an Associate Professor in the Accounting and Information Systems Division at the UBC Sauder School of Business. He holds a PhD in Computer Science from UT Austin. His research focuses on AI in business contexts, cybersecurity, and data analytics, with notable contributions to understanding AI strategies, IT platforms, and workforce transformations. His work has been published in top journals like MIS Quarterly , Information Systems Research , and Journal of Management Information Systems . Education: BS (Korea University), MA (UT Austin), PhD (UT Austin). He has held roles at Samsung, Intel, Goldman Sachs, and others, and holds over 10 patents in mobile technologies. His Erdős number is 3. Research interests include AI's impact on industries, cybersecurity defense mechanisms, and the integration of robotics and service operations. His recent studies explore AI-driven innovation, mobile device management in remote work, and the effects of service robots on labor dynamics. He has supervised over a dozen PhD and Master’s students, including Jaecheol Park (2025 dissertation) and Myunghwan Lee (2023 proposal). Awards include AIS Distinguished Member (2021) and Reviewer of the Year (MISQ/ISR 2021). He serves as an AE for ISR and SE for Decision Support Systems . Key projects include the Data Analytics & AI Research Group, cyber risk assessment frameworks, and studies on generative AI in journalism and video content creation. His work bridges theory and practice, addressing real-world challenges in digital transformation and AI ethics.

• Macroeconomics

Francisco Ruge-Murcia is a Full Professor in McGill University's Department of Economics, serving as Department Chair (2019-2024). Recognized with the Bank of Canada Fellowship (2017-2021), he was President of the Canadian Economics Association (2021-2022). His research examines macroeconomics, monetary policy, and collective decision-making in central banks. He has published extensively on inflation targeting, monetary policy committees, and DSGE modeling. Has supervised 12 PhD students to completion with placements in academia and policy institutions. Holds visiting affiliations with major central banks worldwide and teaches graduate courses in macroeconomics and international economics.

Amy Pageمشاهده پروفایل

مدرس ارشد

• Deprescribing
• Quality Use of Medicines
• Geriatrics
• +۳ مورد دیگر

Dr. Amy Page is a Senior Lecturer in Pharmacy at the University of Western Australia's School of Allied Health and the inaugural Director of the Centre for Optimisation of Medicines. Her research focuses on deprescribing, quality use of medicines in geriatrics, and reducing polypharmacy-related harm in older adults. She has received over $13M in funding, published 160+ articles, and led influential projects like the Opti-med trial and development of the MATCH-D framework. Education & Qualifications: PhD (2017) MClinPharm (Clinical Pharmacy) GradDipBiostat (Biostatistics) GradCertDMEd (Diabetes Management Education) GradCertHProfEd (Health Professional Education) Research Interests: Dr. Page's work addresses medication optimization for older adults, with a focus on deprescribing strategies, polypharmacy reduction, and improving medication safety in aged care settings. She also develops clinical guidelines and educational programs for pharmacists. Key Achievements: Recipient of Australian Pharmacist of the Year (2024) and Young Pharmacist of the Year (2015) 2022 Vice-Chancellor’s Early Career Research Award Lead developer of national standards for pharmacist prescribing and aged care medication management Course Director for Doctor of Pharmacy Practice and Advanced Clinical Practice programs Grants & Impact: Over $13M in funding secured, leading projects such as the Centre of Research Excellence in Medicines and Ageing (CREMA) and the Safe Recovery initiative reducing hospital falls. Her work has influenced national policies like the APC accreditation standards and international frameworks like the Global Competency Framework. Teaching & Leadership: Oversees pharmacy postgraduate programs and pioneered microcredentials in clinical skills, prescribing, and diabetes education. Served as State President of the Pharmaceutical Society of Australia and on the Pharmacy Board of Australia.

Charith Abhayaratneمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Machine Learning
• Multimedia Security
• +۷ مورد دیگر

Dr. Charith Abhayaratne is a Senior Lecturer and EEE Foundation Year Tutor at the School of Electrical and Electronic Engineering, University of Sheffield. He leads the Communications Research Group and serves as the accreditation team lead for the school. With qualifications including a PhD from the University of Bath and a B.E. from the University of Adelaide, his research focuses on signal processing, machine learning, multimedia security, and video coding. His work explores blockchain for content protection, visual salience in robotics, human activity recognition, and advanced video coding techniques (HDR, UHD, 360° video). His research has been funded by Innovate UK, EPSRC, and industry partners. Education: B.E. (Electrical and Electronic Engineering), The University of Adelaide, Australia (1998) PhD (Electronic and Electrical Engineering), University of Bath, UK (2002) PGCertHE (Higher Education), University of Sheffield (2008) Fellow of the Higher Education Academy (FHEA), Member of the Institution of Engineering and Technology (MIET), Member of IEEE (MIEEE) Research Interests: His work spans multimedia security (data hiding, blockchain), computer vision (visual salience, object recognition), and video coding (HDR/UHD). Current projects include robotic vision applications, assisted living through activity recognition, and international standards development (JPEG/MPEG). He has contributed to scalable video standards and serves on technical committees for IEEE, EURASIP, and APSIPA. Awards & Service: Recipient of the Alain Bensoussan Fellowship (ERCIM, 2002) Associate Editor for IEEE Transactions on Image Processing, IEEE Access, and Elsevier JISA Member of EPSRC Peer Review College and British Standards Institution (BSI) Grants & Labs: Active grants from Innovate UK and EPSRC support projects in multimedia security and video coding. His lab leads interdisciplinary work in AI-driven visual analytics and secure media distribution frameworks.

Carrie Barberمشاهده پروفایل

پژوهشگر

• Perinatal Mental Health
• Parenting Stress
• Digital Interventions
• +۲ مورد دیگر

Carrie Barber is a Research Associate in the Maori and Psychology Research Unit at the University of Waikato. As a registered clinical psychologist, her research examines perinatal mental health, parenting stress, and digital interventions for families during life transitions. She develops accessible tools like the 'Positively Pregnant' app to support emotional well-being. Her research focuses on stress management during pregnancy and early parenting, psychometric validation of assessment tools, cultural variations in child-rearing, and mental health interventions. Recent work examines pandemic impacts on postnatal mental health and fathers' experiences during parenthood transition. Dr. Barber applies Rasch methodology to enhance precision in psychological instruments like the Edinburgh Postnatal Depression Scale and Baby Care Questionnaire. Her mindfulness app trials demonstrate significant reductions in postnatal distress. She collaborates internationally on parenting belief studies and cross-cultural infant care practices. She teaches Infant and Child Development and Clinical Psychology courses, integrating cultural perspectives. Clinical work informs her research on communication gaps between perinatal patients and providers, and psychosocial needs in pediatric healthcare settings.

Jingjing Mengمشاهده پروفایل

پژوهشگر

• Multimedia
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Jingjing Meng is a Senior Scientist affiliated with the Computer Science and Engineering Department at the University at Buffalo, SUNY, and Amazon. She holds a Ph.D. from Nanyang Technological University (NTU, Singapore), advised by Prof. Yap-Peng Tan, along with an M.S. from Vanderbilt University and a B.E. from Huazhong University of Science & Technology, China. Her research focuses on multimedia, large multimodal models, product recommendation/search, and computer vision applications. Notable contributions include work on surgical triplet recognition, 3D object representation, and video summarization. She has received the 2016 IEEE Transactions on Multimedia Best Paper Award. Service Roles: Technical Program Co-Chair (ICME 2024), Tutorial Co-Chair (ACM MM 2024), Area Chair (AAAI 2021-2025), and Associate Editor for IEEE TMM, Signal Processing: Image Communication, and others. Leadership: Member of IEEE IVMSP TC, VSPC TC, and MSA TC committees, and a Senior Member of IEEE. Teaching includes courses like Multimedia Systems (CSE 534), Computer Graphics (CSE 410/580), and Discrete Structures (CSE 191). Her work bridges theoretical advancements and practical applications in multimedia and AI.

• Algorithm Design
• Algorithmic Economics
• Game Theory
• +۶ مورد دیگر

Richard J. Cole is a Silver Professor of Computer Science at New York University's Courant Institute of Mathematical Sciences, part of the Faculty of Arts and Science. His research focuses on algorithm design, algorithmic economics, game theory, and parallel computing. He holds a Ph.D. in Computer Science from Cornell University (1982) and a B.A. in Mathematics from Oxford University (1978). Education: Ph.D., Computer Science, Cornell University, USA, 1982 B.A., Mathematics, Oxford University (University College), United Kingdom, 1978 His research spans algorithmic economics (market theory, mechanism design), parallel algorithms, and foundational areas like string matching and graph algorithms. Recent work emphasizes stable matching, non-quasi-linear agent mechanisms, and fair resource allocation. He has advised notable Ph.D. students including Yun Kuen Cheung and Vasilis Gkatzelis. Teaching includes undergraduate and graduate courses on algorithms, computational theory, and algorithmic aspects of the internet. His 15+ years of publications reflect contributions to theoretical computer science and interdisciplinary applications in economics. His work on parallel computing and resource-oblivious algorithms addresses multicore efficiency, while contributions to market equilibrium analysis and mechanism design highlight algorithmic solutions to economic challenges.