جست‌وجوی استاد و پژوهشگر

Renjie Liaoمشاهده پروفایل

استادیار

• Deep Learning
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Renjie Liao is an Assistant Professor (tenure-track) in the Department of Electrical and Computer Engineering (ECE) at the University of British Columbia (UBC), with an associated appointment in the Department of Computer Science. He is also a Faculty Member at the Vector Institute and a Canada CIFAR AI Chair. Prior to UBC, Dr. Liao was a Visiting Faculty Researcher at Google Brain and held a Senior Research Scientist position at Uber Advanced Technologies Group during his PhD. He earned his B.Eng. (Automation) from Beihang University, M.Phil. (CS) from the Chinese University of Hong Kong, and PhD (CS) from the University of Toronto. His research focuses on probabilistic and geometric deep learning , with key contributions in deep generative models, geometric deep learning, neural algorithmic reasoning, and generalization bounds. Notable areas include 3D point cloud analysis, self-driving systems, and healthcare applications using graph neural networks. His work bridges theoretical foundations (e.g., PAC-Bayes bounds) with practical applications like motion forecasting and medical imaging. Education: B.Eng. in Automation, Beihang University (2011) M.Phil. in Computer Science, CUHK (2015) PhD in Computer Science, UofT (2021) Dr. Liao has received awards such as the RBC Graduate Fellowship and Connaught International Scholarship. His lab (Deep Structured Learning Lab) emphasizes principled mathematical approaches to solving complex problems. He advises students in machine learning, computer vision, and robotics, encouraging applications from those with strong coding/mathematical backgrounds. Labs/Teams: Deep Structured Learning Lab (UBC) Vector Institute Collaboration

Jennifer Dudleyمشاهده پروفایل

پژوهشگر

• Political Science
• Organizational Behavior
• Public Policy
• +۳ مورد دیگر

Jennifer Dudley is a Postdoctoral Research Scholar in the Management Division at Columbia Business School and Director of the Equity by Design Lab. She holds a PhD from the University of Notre Dame, focusing on individual decision-making and group dynamics. Her research spans political science, organizational behavior, and equity in policy contexts. Notable works include analyses of PAC funding dynamics, legislative culture, grandparent caregiving, and financial literacy's impact on student loan defaults. While no formal awards are listed, her contributions to political and social science research are significant. She leads projects emphasizing equity and collaborates on initiatives blending computational methods with social science inquiry.

Nicklas Wergeمشاهده پروفایل

پژوهشگر

• Machine Learning
• Online Algorithms
• Optimization Algorithms
• +۱۰ مورد دیگر

Nicklas Werge is a Postdoctoral Fellow at the Department of Mathematics and Computer Science, University of Southern Denmark. His research focuses on machine learning, optimization algorithms, and stochastic processes, with applications in financial forecasting and reinforcement learning. Institution: University of Southern Denmark Department: Mathematics and Computer Science Rank: Researcher Werge's research interests span machine learning, online algorithms, and statistical methods for large-scale data optimization. His work explores stochastic modeling in dynamic environments, including: Volatility prediction in financial forecasting Pessimism and optimism dynamics in reinforcement learning Bayesian-optimistic algorithms for non-stationary bandits Nonconvex convergence analysis of SGD The 10 publications listed demonstrate expertise in: Stochastic optimization (54% of collaborative work) Deep reinforcement learning (36% of collaborative work) Continuous control systems (27% of collaborative work) Asymptotic analysis techniques Approximation algorithms PAC-Bayes uncertainty modeling Contact: werge@sdu.dk | ORCID

Sadia Nafeesمشاهده پروفایل

پژوهشگر ارشد

• Mental Health
• Primary Care
• Public Health
• +۵ مورد دیگر

Sadia Nafees is a Research Fellow at Bangor University's School of Health Sciences, serving as Research Officer at the Centre for Mental Health and Society since 2018. With a clinical dentistry background, she transitioned to healthcare research, holding prior roles at North Wales Centre for Primary Care Research and Cardiff University. Her PhD in Healthcare Sciences (2016) focused on physical activity interventions for cancer survivors. She teaches medical students about social determinants of health and mentors Master's students in research methodologies. Dr. Nafees' research spans mental health services innovation, opioid prescribing, prison healthcare, and social determinants of health. She employs systematic reviews and qualitative methods to address gaps in primary care systems, particularly in low-resource settings and criminal justice environments. Her work emphasizes patient engagement and translational impact. Recent publications (2021-2025) reveal intensified focus on global mental health and prison-based interventions, with systematic reviews dominating her methodology. Key trends include cross-cultural analysis of self-harm in LMICs, opioid management frameworks, and cancer detection pathways in primary care. She supervises seven students across undergraduate to PhD levels, including John Bailey (opioid effects) and Jakub Matusiak (breast reconstruction). Her £717k grant portfolio features Principal Investigator roles on INSIGHT (£105k) and PACS (£17k), plus Co-Investigator work on SMILE (£250k) and substance misuse evaluations (£325k). As a core Centre for Mental Health and Society member, she leads international collaborations with UK, Pakistan, and India partners through interdisciplinary teams focused on healthcare system innovation.

Jennifer Wood Kanupkaمشاهده پروفایل

دانشیار

• Special Education
• Evidence-Based Teaching Practices
• Impact of Physical Activity on Children with Disabilities
• +۱ مورد دیگر

Dr. Jennifer Wood Kanupka is the Chair of the Education Department and an Associate Professor at Lebanon Valley College. Her expertise lies in supporting students with high incidence disabilities, with a focus on special education. She holds a B.S. from Lebanon Valley College, an M.A. from The Pennsylvania State University, an Ed.D. from Immaculata University, and holds certifications in Special Education and Principal roles from Penn State. Ed.D., Immaculata University M.A., The Pennsylvania State University B.S., Lebanon Valley College Supervisor of Special Education Certificate & Principal Certificate from Penn State Her research explores evidence-based classroom practices for pre-service special education teachers, the impact of physical activity on children with disabilities, and family perspectives in disability support. Publications include studies on aquatic therapy, rock climbing programs, and running interventions for Autism Spectrum Disorder (ASD) populations, with trends showing integration of physical activity and special education pedagogy. Dr. Kanupka has presented at conferences including the Teacher Education Division of the Council for Exceptional Children (TED-CEC) and the Pennsylvania Association of Colleges for Teacher Educators (PAC-TE). She teaches courses such as Evidence-Based Effective Instruction in Educating Students with High Incidence Disabilities (SPE 260) , Services and Strategies in Secondary Special Education (SPE 390) , and Senior Capstone (SPE 410) . She will be on sabbatical in Spring 2025 to further her research.

• Bioengineering Education
• Medical Biochemistry
• Laboratory Management
• +۷ مورد دیگر

Ann Iren Solli is an Associate Professor and Study Program Director for the Bachelor of Science in Bioengineering at the Department of Medical Biology, UiT The Arctic University of Norway. She is actively involved in teaching, curriculum development, and educational research, with a focus on practical training and student engagement in health sciences. University: UiT The Arctic University of Norway School: Faculty of Health Sciences Department: Department of Medical Biology Position: Associate Professor & Study Program Director Email: ann.i.solli@uit.no Her research interests center on bioengineering education, medical biochemistry, laboratory management, and the integration of research into teaching. She emphasizes student co-creation, hands-on learning, and professional development in healthcare education. Her recent publications show a shift from molecular biology (particularly MMP-2 in skeletal muscle) to educational innovation, including curriculum design, stress among students, and practical training models. The work reflects a strong commitment to improving bioengineering education through evidence-based pedagogy. Scientific Articles: 15+ recent works on education and biomedical research Key Themes: Bioengineering pedagogy, student mental health, research integration, MMP-2 biology She supervises bachelor’s theses and leads core courses such as Medical Biochemistry and Pharmacology (MBI-2112) and Professional Practice and Laboratory Management (MBI-2111). Her collaborative projects suggest strong ties with academic staff and students in curriculum innovation. Although no specific grants or awards are listed, her active publication record indicates ongoing research and teaching development initiatives.

Javed I. Khanمشاهده پروفایل

استاد

• Computer Networking
• Cyber Infrastructure
• Active and Programmable Networking
• +۱۴ مورد دیگر

Javed I. Khan is a Professor and Chair of the Department of Computer Science at Kent State University . He leads cutting-edge research in networking, cyber infrastructure, and perceptual systems, with funding from DARPA, NSF, NASA, AFRL, and the World Bank. He is the director of the Media Communications and Networking Research Laboratory (MEDIANET) and actively contributes to international education networks. Ph.D., University of Hawaii at Manoa B.Sc., Bangladesh University of Engineering and Technology (BUET) His research spans active and programmable networking , peer-to-peer systems , semantic design , multimedia communication , and medical imaging . He has pioneered work in holographic associative memory and complex system visualization . His interdisciplinary work integrates computer science with human-centered design and global development. The recent publications reflect a strong trend in decentralized systems , next-generation architectures , and intelligent networking . Themes include P2P computing, dynamic routing, content-based search, and perceptual engineering, indicating a forward-looking research vision in network evolution and human-machine symbiosis. Fulbright Senior Specialist on High Performance Education Networking Open Grants Fellow, East West Center, Hawaii Dr. Khan has advised national and international bodies including the World Bank on research and education networks (RENs) for sustainable development. His lab has secured grants from DARPA , NSF , NASA , and AFRL , supporting innovative projects in space communication, multisensory fusion, and digital library systems. He leads the MEDIANET Lab , which houses the Internet Teaching Lab (ITL) and Student Research Portal . The lab fosters collaboration through the MEDIANET Collaboration Server and supports projects in active networking, P2P computing, and perceptual media.

• Particle Astrophysics
• Neutrino Astronomy
• Cosmology
• +۵ مورد دیگر

Francis Halzen is the Gregory Breit Professor and Vilas Research Professor at the University of Wisconsin-Madison, where he has been a key figure in the Department of Physics since 1987. As principal investigator of the IceCube Neutrino Observatory, he has pioneered neutrino astronomy through projects like AMANDA and IceCube, transforming Antarctic ice into a Cherenkov detector for high-energy subatomic particles. Academic Appointments : Vilas Research Professor, Gregory Breit Professor Key Collaborations : IceCube Collaboration, AMANDA Collaboration Research Focus : Dr. Halzen's work spans particle astrophysics, neutrino astronomy, and cosmology. He investigates cosmic ray acceleration mechanisms, dark matter, and neutrino oscillations, with recent studies on extragalactic neutrino sources like NGC 1068 and TXS 0506+056. His team uses machine learning for low-energy neutrino reconstruction and explores theories involving extra dimensions. Scientific Contributions : IceCube's 2023 discovery of Galactic plane neutrinos and 2022 NGC 1068 neutrino emission stand out among his 1,000+ publications. The 2013 observation of PeV-energy neutrinos marked a breakthrough in high-energy astrophysics. Major Awards : Balzan Prize (2015), European Physical Society Prize (2015), Julius Wess Award (2017), Smithsonian American Ingenuity Award (2014) Honorary Doctorates : Ghent University (2013), Southern Methodist University (2017), Ruhr University Bochum (2022) Technical Leadership : Dr. Halzen contributes to detector design, including IceCube-Gen2 upgrades and KM3NeT projects. He advises on major experiments like SNO, Auger-Upgrade, and Fermilab PAC, while advancing open-source analysis frameworks like GollumFit.

Tanja Beerمشاهده پروفایل

مدرس ارشد

• Ecoscenography
• Expanded scenography
• Performance design
• +۱۱ مورد دیگر

Dr Tanja Beer is a Senior Lecturer at Queensland College of Art and Design, Griffith University, Australia, where she is also a member of the Creative Arts Research Institute, Cities Research Institute, and the Griffith Institute for Human and Environmental Resilience. She is the Co-Director of the Performance + Ecology Research Lab (P+ERL) and serves as the Lead Investigator on the Australian Research Council Linkage Project "Culture for Climate: Harnessing Eco-Creativity to Transition Australia's Performing Arts to Environmental Sustainability" (2023-2027). Dr Beer's educational background includes: PhD in Sustainable Design from the University of Melbourne (2011-2016) Master of Arts in Stage Design from the University of Music and Performing Arts Graz, Austria (1995-2000) Graduate Diploma in Animateuring (cross-modal performance making) from the University of Melbourne (2001-2002) She previously held positions as Academic Fellow in Performance Design and Sustainability and Postdoctoral Research Fellow at the University of Melbourne. Dr Beer is globally recognized for advancing sustainability in the performing arts, particularly through establishing the field of "ecoscenography" (ecological design for performance). Her research intersects with performance design, public art, event space, arts-science communication, co-design, exhibition design, installation, temporary architecture, landscape architecture, place-making, and sustainability. She has developed the "3 Cs" framework (Co-creation, Celebration and Circulation) for sustainable scenography and is the author of "Ecoscenography: An Introduction to Ecological Design for Performance" (2021), which was shortlisted for the Prague Quadrennial Publication Award 2023. Her recent creative research outputs reveal trends across ecological performance design, sustainable pedagogy, and community engagement. The publications demonstrate growing integration of ecoscenography into mainstream performance practice, with increasing focus on climate action within the performing arts sector, interdisciplinary approaches to sustainability, and the development of practical frameworks for implementing ecological principles in theatre production. Dr Beer has received several notable awards: PAC Australia IMPACT Award (2024) for "When the World Turns" Shortlisted for the Prague Quadrennial Publication Award 2023 Shortlisted for the Space and Object Design category for World Stage Design 2025 Institute of Advanced Studies Fellowship Award 2025/2026 Glasgow City Council Environmental Initiative Award for the Uprooted production As an educator and supervisor, Dr Beer has mentored numerous doctoral and masters students in areas related to ecoscenography, sustainable design, and ecological performance. Her current research projects include the "Culture for Climate" national survey to understand sustainability practices in the Australian performing arts sector and the development of teaching resources for the National Institute of Dramatic Art (NIDA) to "green" their curriculum. Dr Beer's creative practice is exemplified by "The Living Stage," a global initiative that combines stage design, horticulture, and community engagement to create recyclable, biodegradable, biodiverse, and edible performance spaces. This project has been realized in multiple locations internationally and has been featured in exhibitions at the V&A Museum and the Prague Quadrennial.

John M. Wallace, Jr.مشاهده پروفایل

استاد

• Community-Based Participatory Research
• Adolescent Problem Behaviors
• Comprehensive Community Initiatives
• +۶ مورد دیگر

John M. Wallace, Jr. serves as Vice Provost for Faculty Diversity and Development and holds the David E. Epperson Endowed Chair as Professor at the University of Pittsburgh, with joint appointments in the School of Social Work, Katz Graduate School of Business, and Dietrich School of Arts and Sciences (Sociology). He concurrently serves as senior pastor of Bible Center Church in Pittsburgh's Homewood neighborhood, integrating academic and community leadership for over 30 years. Dr. Wallace earned his AB in sociology from the University of Chicago followed by MA and PhD degrees in sociology from the University of Michigan. His research centers on community-based participatory approaches to address systemic inequities in African American communities. Primary interests include adolescent problem behaviors (substance use, violence, school dropout), comprehensive community initiatives, faith-based revitalization strategies, and ESTEAM education for youth. Current work focuses on social enterprises tackling food insecurity, youth unemployment, and economic development through entrepreneurship, science, technology, engineering, agriculture, and math education. His 2013-2018 publications reveal consistent focus on health disparities (asthma, obesity, tobacco use), adolescent substance use, and community interventions using participatory methods. The research demonstrates rigorous examination of racial and economic inequities, particularly in Pittsburgh's Homewood neighborhood, with strong emphasis on practical solutions through university-community partnerships. Dr. Wallace's scientific recognition includes: Fellow of the American Academy of Social Work and Social Welfare (2018) BMe Leadership Award (2017) Martin Luther King Distinguished Individual Leadership Award (2017) Racial Justice Award from YWCA of Greater Pittsburgh (2016) Chancellor’s Distinguished Public Service Award (2015) Marilyn J. Gittell Activist Scholar Award (2012) Funded by NIH, The Richard King Mellon Foundation, Heinz Endowments, and Pittsburgh Foundation, he leads major initiatives including the Comm-Univer-City of Pittsburgh Project, Healthy Living Healthy Learning Healthy Lives asthma study, and PACS two-generation intervention program. As co-founder and board president of Homewood Children’s Village and Operation Better Block, plus founder of The Oasis Project economic development arm, he embodies research-practice integration. Through Homewood Children's Village and The Oasis Project, Dr. Wallace mobilizes university-community resources to create sustainable pathways for youth development, economic opportunity, and health equity in Homewood, demonstrating how academic research can directly fuel community-driven transformation.

Maurice Funkمشاهده پروفایل

پژوهشگر

• Knowledge Representation
• Description Logic
• Artificial Intelligence
• +۳ مورد دیگر

Maurice Funk is a postdoctoral researcher at Leipzig University , affiliated with the Knowledge Representation Group led by Carsten Lutz . His work bridges theoretical computer science and artificial intelligence. Current research focuses on formal representation learning , description logic , and querying under background knowledge . He develops algorithms for learning logical concepts and optimizing query processing with ontologies. Recent publications (2024-2019) explore computational limits of conjunctive query learning , SAT-based PAC learning for description logic concepts, and ontology construction techniques using language models. His work combines theoretical analysis with practical implementations. Scientific recognition includes: Distinguished Paper Award at IJCAI 2023 Best Paper Award at PODS 2023 IJCAI 2021 Distinguished Paper Honorable Mention Active in teaching as both lecturer and teaching assistant since 2020, covering courses in logic , automata theory , and description logic . Co-developer of open-source tools SPELL and ALC-SAT for concept learning applications.

Carsten Lutzمشاهده پروفایل

استاد

• Description Logics
• Knowledge Representation
• Ontology-Mediated Querying
• +۵ مورد دیگر

Carsten Lutz is a Professor at the University of Leipzig, Faculty of Mathematics and Informatics, Institute of Informatics, where he leads the Department of Foundations of Knowledge Representation. He joined the university in April 2022 after previously holding positions at other institutions. His extensive service to the academic community includes numerous roles as Program Committee Chair, Area Chair, and Senior PC Member for major conferences in artificial intelligence, database theory, and knowledge representation. Professor Lutz's research focuses on the theoretical foundations of knowledge representation, with particular emphasis on description logics, ontology-mediated querying, and the intersection of database theory with artificial intelligence. His work bridges formal logic with practical applications in semantic technologies. His research has led to significant contributions in understanding the computational properties of knowledge representation formalisms and developing efficient query processing techniques. His recent publications demonstrate a continued focus on the theoretical aspects of knowledge representation, with increasing attention to connections with machine learning, particularly in areas like graph neural networks and PAC learning of logical concepts. The research trends show a consistent thread of applying logical methods to analyze and improve modern AI systems while maintaining strong theoretical foundations. Scientific Awards: Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) 2022 EurAI (formerly ECCAI) fellow 2016 IJCAI2023 distinguished paper award PODS2023 Best Paper Award PODS2023 Test of Time Award for PODS2013 paper on Ontology-Mediated Querying "AI Ten to Watch" award of IEEE Intelligent Systems Magazine Professor Lutz has been highly active in academic service, serving as PC Co-Chair for IJCAR2026, Area Chair for KR2025 and IJCAI2025, and PC Member for numerous prestigious conferences including ICDT2026, PODS2025, and DL2025. His commitment to reducing academic carbon footprint through reduced conference travel is noteworthy. He has also developed several software systems including Grind, Combo, and Spell that implement theoretical advances in ontology-mediated querying and concept learning.

Rongrong Wangمشاهده پروفایل

دانشیار

• Applied and Computational Harmonic Analysis
• Machine Learning
• Neural network training and generalization
• +۶ مورد دیگر

Rongrong Wang serves as Associate Professor in both the Department of Computational Mathematics, Science and Engineering (CMSE) and Department of Mathematics at Michigan State University, based in the Engineering Building with contact email wangron6@msu.edu . Her academic journey includes: B.S. in Mathematics and B.A. in Economics from Peking University, Beijing Ph.D. in Applied Mathematics from University of Maryland College Park under John Benedetto and Wojciech Czaja Postdoctoral fellowship at University of British Columbia with Ozgur Yilmaz and Felix Herrmann Her research spans Applied and Computational Harmonic Analysis , Machine Learning , and Compressed Sensing with focus areas including neural network training dynamics, learning theory, tensor analysis, and inverse problems. She investigates theoretical foundations of deep learning while developing applications for medical imaging and signal processing. Recent publications (2024-2025) demonstrate strong interdisciplinary work at the intersection of deep learning theory and medical imaging, particularly exploring edge-of-stability phenomena in neural networks and diffusion-guided reconstruction techniques. Her work also advances tensor decomposition methods and in-context learning mechanisms in language models. Professor Wang actively recruits self-motivated graduate and undergraduate students with backgrounds in mathematics, computer science, or electrical engineering for research opportunities in her lab.

• Computer Science
• Information Theory
• Machine Learning
• +۳ مورد دیگر

Daniel Cullina is an Assistant Professor in Electrical Engineering, specializing in theoretical computer science and machine learning. His research explores fundamental aspects of adversarial robustness, graph alignment, and information theory, with applications spanning cybersecurity and data science. Research Focus: Adversarial machine learning: Robustness guarantees, attack/defense strategies for classifiers Graph algorithms: Alignment and recovery in random graph models like Erdős-Rényi Information theory: Fundamental limits of database matching and Gaussian alignment Coding theory: Deletion error correction and converse bounds His publications (28+ with 575+ Scopus citations) demonstrate consistent contributions to understanding adversarial vulnerabilities in ML systems and combinatorial algorithms for graph/data matching. Recent work (2020-2023) focuses on theoretical characterization of optimal losses under attacks and database alignment frameworks. With an h-index of 12, his research output shows sustained productivity since 2012, peaking in 2016 (8 publications) and maintaining 3-5 annual publications in recent years.

Safwan S Halabiمشاهده پروفایل

دانشیار

• Imaging Informatics
• Artificial Intelligence in Medicine
• Machine Learning in Medical Imaging
• +۳ مورد دیگر

Safwan S Halabi serves as Associate Professor of Radiology at Northwestern University Feinberg School of Medicine, holding dual leadership roles as Vice-Chair of Radiology Informatics and Director of Fetal Imaging at The Chicago Institute for Fetal Health. He practices clinically in fetal and pediatric imaging at Ann & Robert H. Lurie Children's Hospital of Chicago, with additional hospital affiliations including Northwestern Medicine Central DuPage Hospital and Delnor Hospital. His administrative focus targets quality improvement, patient safety, and enterprise imaging platform optimization. His educational background includes an MD from The University of Toledo College of Medicine (2001), followed by diagnostic radiology training at Henry Ford Health System (Intern 2002, Chief Resident 2005, Resident 2006), and a Pediatric Radiology Fellowship at Cincinnati Children's Hospital Medical Center (2007). He maintains dual board certification in Radiology (with Pediatric Radiology CAQ) and Clinical Informatics. Dr. Halabi's research centers on the intersection of imaging informatics and artificial intelligence, with emphasis on deep/machine learning applications in medical imaging, clinical decision support systems, and patient-centered healthcare delivery. His work prioritizes practical AI implementation, reproducibility frameworks, and ethical data sharing, particularly in pediatric contexts. Current projects address federated learning strategies, skeletal maturity assessment, and fetal imaging analytics. Analysis of his 15 most recent publications reveals a dominant focus on AI reproducibility (40% of articles), followed by federated learning architectures (27%) and pediatric-specific applications (20%). Key trends include standardization of AI model documentation, multi-institutional dataset curation, and workflow integration challenges in clinical radiology settings. Fellow of the American College of Radiology (2025) Imaging Informatics Innovator Award, SIIM (2022) Dual Caffey Awards for Basic Science Papers (2021, 2017) Focus on People Award for Radiology Safety (2008) Howard P. Doub Radiology Resident Award (2003) As Associate Editor for the Journal of the American College of Radiology (2019-2024) and Journal of Digital Imaging (2018-2020), he shapes scholarly discourse in radiology informatics. His leadership extends to the RSNA Machine Learning Data Standards Committee (2018-2024) and SIIM Board of Directors (2018-2023), where he drives standards for AI implementation. Current advisory roles include Change Healthcare (2021-present) and the ACR Pediatric AI Workgroup. He directs the fetal imaging program at The Chicago Institute for Fetal Health and leads Northwestern's radiology informatics division, overseeing enterprise imaging platform development. His teams actively participate in RSNA AI challenges, focusing on multi-institutional collaboration for pediatric bone age assessment and pulmonary embolism detection, with emphasis on real-world clinical integration of AI tools.