Find Academic Supervisors

• Diagnostic Virology
• Clinical Microbiology
• Infectious Diseases
• +7 more

Marie-Louise Landry is Professor of Laboratory Medicine and of Medicine (Infectious Diseases) at Yale School of Medicine, where she also serves as Vice Chair for Quality and Safety in Laboratory Medicine and Director of the Clinical Virology Laboratory. Her career is centered on diagnostic virology, clinical microbiology, and medical education at Yale New Haven Hospital. Education: MD, Georgetown University (1974) Residency, Yale-New Haven Hospital (1977) Fellowship, Yale University School of Medicine (1979, 1981) Research Interests: Dr. Landry's work focuses on the rapid detection and quantitation of viruses for clinical diagnosis, the impact of novel diagnostic methods on patient care, and respiratory viral infections. She has made significant contributions to virology diagnostics, particularly in rhinoviruses, SARS-CoV-2, Lyme disease, and pediatric viral immunity. Her research bridges clinical laboratory science with patient outcomes, emphasizing test accuracy and implementation. Publication Trends: Her recent publications (2023–2025) emphasize nasal biomarker testing, host immune responses in children, algorithm development for virus detection, and case studies in viral reactivation and zoonotic infections. These works reflect a strong focus on diagnostic innovation, pediatric virology, and clinical microbiology. Scientific Awards: Outstanding Teacher, Yale School of Medicine (2020) Distinguished Clinical Career Award, Yale School of Medicine (2020) Lab Week Hero Award, Clinical Laboratory Standards Institute (2020) Outstanding Teacher, Yale Pathology and Laboratory Medicine Residents (2012) Bohmfalk Teaching Prize, Yale University School of Medicine (2005) Advising and Grants: While formal students are not listed, Dr. Landry mentors trainees and leads a productive research environment with frequent collaborations, particularly with researchers in virology, immunology, and infectious diseases. Her lab receives institutional and clinical support, enabling sustained publication and editorial leadership in major microbiology references. Labs and Teams: She directs the Clinical Virology Laboratory at Yale and is affiliated with the Center for Pulmonary Injury, Inflammation, Repair and Therapeutics (CPIRT), Molecular Virology, and the Infectious Diseases division. Her work is highly collaborative, involving key co-authors such as Ellen F. Foxman, David Ferguson, Chantal Vogels, and Nathan Grubaugh.

Mi-Ok KimView profile

Professor

• Biostatistics
• Causal Inference
• Clinical Trial Design
• +12 more

Dr. Mi-Ok Kim is a Professor in the Department of Epidemiology and Biostatistics at the University of California San Francisco (UCSF) and serves as the Director of the Biostatistics Core at the Helen Diller Family Comprehensive Cancer Center (HDFCCC). She joined UCSF from Cincinnati Children’s Hospital Medical Center, where she led the Biostatistics Unit for the Cancer and Blood Diseases Institute. Her role involves leading strategic development of shared biostatistical resources and providing expert statistical support across basic, clinical, and population sciences research. Dr. Kim earned her MS (2000) and PhD (2003) in Statistics from the University of Illinois at Urbana-Champaign. Her research program centers on methodological advancements in biostatistics, including non- and semi-parametric inference, longitudinal and survival data analysis, and causal inference using structured data from registries, network databases, and electronic health records. She has a strong focus on comparative effectiveness research (CER) and patient-centered outcomes research (PCOR), particularly in the context of hierarchical data structures. Her recent publications reflect a broad interdisciplinary reach, spanning oncology, pediatrics, public health, and machine learning applications in healthcare. Themes include health disparities, clinical trial design, biomarker analysis, and statistical methods for integrating aggregate and individual-level data. She has published in high-impact journals such as JAMA Dermatology , Annals of Applied Statistics , and Pediatrics . Dr. Kim has received multiple honors and awards, including: Fellowship, University of Illinois at Urbana-Champaign (1997) First Prize, Capital One Financial Data Challenge Competition (2001) Norton Prize, Robert Bohrer Workshop for Student Papers in Statistics (2002) Junior Faculty Travel Award, International Conference on Robust Statistics (2004) Travel Award, AACR Cancer Biostatistics Workshop (2008) She has served as Principal Investigator on numerous grants from NIH, NSF, and PCORI, supporting research in areas such as pediatric Crohn’s disease, kidney transplantation, and meta-analysis methods. Her work emphasizes rigorous statistical methodology to reduce bias and improve efficiency in real-world data analysis. She collaborates extensively with multidisciplinary teams across UCSF and beyond, contributing to clinical studies, protocol development, and outcomes research. Dr. Kim leads a research team focused on optimal handling of complex data structures in treatment selection and outcome analysis, with applications in chronic disease management and cancer care. She is also engaged in developing frameworks for post-market monitoring of machine learning-based medical devices, reflecting her forward-looking approach to biostatistical innovation.

• Geomatics
• Remote Sensing
• Geographic Information Systems (GIS)
• +5 more

Thomas Bauer is a researcher at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Department of Agricultural Sciences. He specializes in geomatics, remote sensing, and geographic information systems (GIS) with a focus on land use monitoring, citizen science applications, and sustainable land management. PhD in Natural Sciences (2001, Vienna University of Technology) MSc in Natural Sciences (1996, University of Vienna) Research Interests include: Geospatial analysis for environmental monitoring Integration of citizen science data in ecological studies Remote sensing applications in agriculture and forestry Land use change detection and sustainable intensification Animal movement tracking using GPS and accelerometers He has presented at 18 international conferences (Austria, Colombia, Germany, Italy, Lithuania, Netherlands) and contributed to collaborative projects like the Roadkill citizen science initiative. His work bridges geospatial technology with environmental science, emphasizing practical implementation and interdisciplinary approaches.

Maria Antonia BrovelliView profile

Professor

• Geomatics
• GIS
• Open Source GIS
• +6 more

Maria Antonia Brovelli is a Professor of GIS at Politecnico di Milano (PoliMI) in the Department of Civil and Environmental Engineering and a member of the School of Doctoral Studies in Data Science at Roma La Sapienza University. Formerly Vice-Rector of PoliMI for the Como Campus (2011-2016), she currently leads the GEOLab (Geomatics and Earth Observation Lab) and holds influential roles including Deputy Chair of the ISPRS TC on Spatial Information Science, co-chair of the United Nations Open GIS Initiative, and Chair of the UN-GGIM Academic Network. Her research spans geomatics with evolving expertise from geodesy and radar-altimetry to GIS, webGIS, geospatial web platforms, Volunteered Geographic Information (VGI), Citizen Science, Big Geo Data, and geospatial AI. A global leader in Open-Source GIS advocacy, her work emphasizes open data ecosystems, collaborative mapping, and AI-driven geospatial solutions for environmental challenges. Key methodologies include open-source software frameworks and citizen science integration. Recent publications (2025) demonstrate convergence of AI and geospatial analysis, featuring satellite-ground sensor fusion for urban air quality, high-resolution land cover mapping, zero-shot learning for remote sensing imagery, landslide prediction models, and climate-agriculture impact studies. Dominant themes include open geospatial platforms, transferable AI architectures, and multi-scale environmental monitoring using open data principles. Honors include: Sol Katz Award for Geospatial Free and Open Source Software (OSGeo) As mentor of PoliMI's YouthMappers chapter (PoliMappers), she guides student-led open mapping initiatives. Her editorial leadership as Associate Editor of ISPRS International Journal of Geo-Information shapes discourse in geospatial AI and open science. Research grants span ESA Earth Observation programs, UN initiatives, and international collaborative projects focused on open geospatial infrastructure. Brovelli directs GEOLab at Politecnico di Milano, a hub for geospatial innovation developing open-source tools for earth observation, citizen science platforms, and AI-driven spatial analytics. The lab collaborates with UN-GGIM, ISPRS networks, and ESA projects, driving open standards adoption globally while advancing geospatial AI applications in climate resilience and urban sustainability.

Mary RichardsonView profile

Professor

• Pathology
• Obstetrics & Perinatal Pathology
• Anatomic Pathology
• +2 more

Dr. Mary Richardson is a Professor of Pathology at the Medical University of South Carolina (MUSC), where she serves as Director of Surgical Pathology. Her work bridges clinical and anatomic pathology with specialized expertise in head and neck oncology and diagnostic precision. Medical College of Georgia Residency (1989–1993) Georgetown University DDS (1976–1980) MedStar Georgetown University Hospital Post-Doctoral Fellowship (1980–1982) Her research focuses on oral cavity squamous cell carcinoma (SCC) , advancing staging systems and therapeutic strategies. Recent work includes neoadjuvant immunotherapy trials and molecular diagnostics for rare tumors. Key publication trends highlight oncology , immunotherapy , and molecular pathology in journals like JAMA Otolaryngology , Frontiers in Immunology , and Cancer . Certified by the American Board of Pathology in Anatomic & Clinical Pathology Professional fellowships in major pathology societies Dr. Richardson’s contributions to surgical pathology and diagnostic innovation are recognized through her leadership roles and scholarly output.

Mona GarvinView profile

Professor

• Medical image analysis
• Ophthalmic imaging
• Graph-theoretic approaches for three dimensional image segmentation
• +3 more

Mona Garvin is a Professor in the Department of Electrical and Computer Engineering at the University of Iowa's College of Engineering. She also holds researcher positions at the Iowa Institute for Biomedical Engineering and the Iowa Initiative for Artificial Intelligence , blending engineering principles with medical imaging applications. Education PhD in Biomedical Engineering, The University of Iowa (2008) MS in Biomedical Engineering, The University of Iowa (2004) BSE in Biomedical Engineering (2003) BS in Computer Science (2003) Research Focus Her work specializes in ophthalmic image analysis , leveraging machine learning and graph-theoretic approaches for 3D segmentation of retinal structures. Current projects involve differentiating optic disc pathologies (papilledema, NAION) using OCT and enhancing retinal blood flow analysis through computational models. Professional Affiliations Institute of Electrical and Electronics Engineers (IEEE) Society of Photographic Instrumentation Engineers (SPIE) Association for Research in Vision and Ophthalmology (ARVO) American Society for Engineering Education (ASEE) Innovative Contributions Developed tools like AxoNet 2.0 and eyeFusion for automated retinal segmentation and visual field quantification. Her team explores deep learning solutions for OCT analysis, latent variable modeling in retinal thickness patterns, and radiation effects on retinal structures.

Nevine El TawyView profile

Senior Lecturer

• Financial Accounting
• Management Accounting
• Accounting Theory
• +5 more

Dr. Nevine El Tawy is an Honorary Senior Lecturer at the Brunel Business School , Brunel University London , with over 24 years of experience in higher education. She holds a PhD in Accounting, an MSc in Accountancy from Alexandria University, and a BA(Hons) in Accountancy from Alexandria University. She is also a member of CPA Australia and a Fellow of the Higher Education Academy. Director of Internationalisation (Middle East & North Africa), 2023–present BBS UCU Representative, 2022–present Misconduct Officer, BBS Accounting Division, 2022–present Programme Director for MSc Business Accounting and Management, 2017–2021 Research Interests Her work focuses on Financial Accounting , Management Accounting , Integrated Reporting , and the intersection of Accounting Theory with Healthcare Accounting . She employs both qualitative and quantitative research methods to explore accounting standards, intellectual capital, and the impact of crises on financial systems. Publication Trends Recent publications emphasize Healthcare Management (2023–2024), Digital Innovation in Insurance (2024), and Asset Recognition Criteria (2007–2020). Her studies often bridge Accounting Information Systems , Corporate Social Responsibility , and Research Methodology . Scientific Awards & Memberships Fellow of the Higher Education Academy Member of the British Accounting and Finance Association Reviewer for Journal of Financial Reporting and Accounting , Qualitative Market Research , and Journal of Applied Accounting Research Teaching & Supervision She teaches MG5637 Understanding Business and Management Research Methods and MG5605 Business Performance Management . She has supervised PhD students throughout their journeys and served as an External Examiner for Business and Management programs.

Noeska SmitView profile

Professor

• Medical Visualization
• Computational Medicine
• Multimodal Imaging
• +3 more

Noeska Smit is a Professor in Medical Visualization at the Department of Informatics, University of Bergen , where she has held a tenure-track position funded by the Trond Mohn Foundation since 2017. She is also a senior researcher and member of the leadership team at the Mohn Medical Imaging and Visualization (MMIV) Centre . Her research focuses on novel interactive visualization techniques for exploring and communicating multimodal medical imaging data , particularly in multi-parametric MR acquisitions . She leads projects in gynecologic cancer imaging , Multiple Sclerosis neuroimaging , and human anatomy education through collaborations with institutions like UGent (Belgium) and HVL. 2019: Dirk Bartz Prize for Visual Computing in Medicine 2016: PhD at Delft University of Technology , Netherlands 2012: MSc in Computer Science (Computer Graphics & Visualization) , Delft University Recent publications highlight her work in MRI radiomics , narrative visualization , open-source anatomy platforms , and interactive clustering tools for tumor analysis. Her methods are applied in oncological pelvic surgery planning , neurological disease monitoring , and 3D learning environments . She supervises PhD candidates Eric Mörth and Sherin Sugathan , and has contributed to open-source medical visualization tools like RegistrationShop and Online Anatomical Human (OAH) . Her work bridges clinical practice and computer science through collaborations with radiologists, surgeons, and ML researchers.

• Biomedical Engineering
• Artificial Intelligence
• Machine Learning
• +12 more

Associate Professor Rifai Chai is a faculty member in the Department of Biomedical Engineering at the School of Engineering, Swinburne University of Technology. He serves as the Academic Director (Partnerships), reflecting his leadership in academic-industry collaboration. His research focuses on the intersection of biomedical engineering and artificial intelligence, with applications in brain-computer interfaces, medical technologies, robotics, and embedded systems. University: Swinburne University of Technology School: School of Engineering Department: Biomedical Engineering Position: Associate Professor Email: rchai@swin.edu.au His educational and professional background includes over a decade of experience in product development in hardware, firmware, and software design in Indonesia and Australia from 2000 to 2011. His research interests are extensive and include: Artificial Intelligence and Machine Learning Brain-Computer Interfaces Medical Device Design Assistive Technology (e.g., smart wheelchairs, exoskeletons) Cognitive Fatigue and Workload Monitoring Back Pain Assessment and Rehabilitation Embedded Systems EEG and Physiological Signal Processing Rifai Chai's recent publications demonstrate a strong focus on AI-driven healthcare solutions. His work spans advanced computational intelligence in medical imaging (e.g., lung cancer and thyroid cancer detection), EEG-based systems for driver fatigue and emotion classification, rehabilitation technologies using exoskeletons, and cybersecurity in industrial IoT. He employs deep learning, hybrid models (e.g., MLP-BiLSTM), and advanced signal processing techniques to solve real-world biomedical problems. His research consistently targets practical, non-invasive, and real-time applications in clinical and industrial settings. His scientific contributions include numerous high-impact publications in journals such as IEEE Access, Sensors, and Medical & Biological Engineering & Computing, as well as book chapters with Elsevier and Springer. He has secured multiple research grants from industry partners and the Australian Research Council, supporting projects in breast electromagnetic scanning, solar-powered charging poles, and haptically-enabled motion simulation. Rifai Chai actively supervises PhD and Master’s students, with current HDR projects covering areas such as brain-computer interfaces for prosthetics, cognitive workload monitoring, distracted driving detection, and AI in medical imaging. He leads a multidisciplinary research team working at the forefront of biomedical innovation. His lab integrates AI, robotics, and physiological sensing to develop technologies that improve health outcomes and human performance.

• Big Data Analytics
• Sentiment Analysis
• Data Management
• +3 more

Bela Stantic is a Professor at Griffith University's School of Information and Communication Technology, where he founded and directs the Big Data and Smart Analytics Lab . With a PhD from Griffith University, his academic appointments include Head of School (2015-2019) and Deputy Head of School (2013-2015). He remains an active member of the Institute for Integrated and Intelligent Systems since 2005. Research Focus: Professor Stantic specializes in Big Data Analytics, particularly in social media sentiment analysis and complex data management. His interdisciplinary work spans tourism analytics, environmental monitoring, cryptocurrency forecasting, and AI ethics. Key applications include disaster response systems, aquaculture optimization, and sustainable infrastructure. Publication Trends: Recent articles (2023-2025) demonstrate strong emphasis on AI-driven solutions: 40% focus on time-series forecasting and cryptocurrency prediction, 30% on computer vision/LiDAR applications, and 30% on social media analytics for tourism and public policy. Machine learning integration across environmental and financial domains is a consistent theme. Grants & Projects: Secured 24 funded projects totaling ~$1.8M AUD, including: Automated seagrass monitoring ($403K, 2023-2025) NSW flood impact analysis via social media (2022) Offshore aquaculture welfare systems ($466K, 2022-2026) COVID-19 pandemic behavior tracking (2020) Student Advising: Supervised 15+ doctoral students to completion in areas like 3D data extraction, social media mobility tracking, and stream-processing engines. Currently mentoring PhD candidates on multimodal sentiment analysis and real-time recommendation systems.

Natalie EnninghorstView profile

Senior Lecturer

• Orthopedic Surgery
• Trauma Surgery
• Surgical Education
• +3 more

Dr. Natalie Enninghorst is a Senior Lecturer at the University of Newcastle, School of Medicine and Public Health, within the Faculty of Health and Medicine. She serves as the discipline representative for Year 5 MD and Deputy Convener of the Master of Traumatology, focusing on trauma research and surgical education at both postgraduate and undergraduate levels.

Sven LautenbachView profile

Professor

• Land Use Change
• Ecosystem Services
• Environmental Modeling
• +10 more

Dr. Sven Lautenbach is a Professor and Chief Scientist at the Institute of Geoinformatics, University of Heidelberg , affiliated with the HeiGIT research group. His work bridges geospatial analysis, environmental modeling, and public health, with a focus on urban systems and land-use decision-making. Current role: Chief Scientist at HeiGIT gGmbH Key affiliations: Department of Geoinformatics, University of Heidelberg Research Interests : Lautenbach's interdisciplinary research addresses: Trade-offs in land use decisions and ecosystem services Health geography and spatial epidemiology Application of machine learning and AI to urban geospatial data Open data quality assessment (OpenStreetMap, social media) Climate adaptation strategies for urban environments Vector-borne disease risk modeling Publication Trends : Recent work emphasizes: Geo-social media for pandemic early warning systems Deep learning for infrastructure mapping (e.g., road surfaces) Flood impact analysis on urban accessibility Heat stress mitigation in pedestrian routing Multi-modal urban human dynamics during crises Open data quality evaluation for humanitarian applications Project Leadership : Lautenbach directs initiatives including: myGreen: Urban green space analysis Climate Change and Spatial Epidemiology Summer School OPERAs/FP-7: Ecosystem science-policy integration CONNECT: Biodiversity-ecosystem service synergies

Tony BostonView profile

Senior Lecturer

• Geographic information systems
• Remote sensing
• Machine learning applied to environmental information
• +5 more

Tony Boston is an Honorary Senior Lecturer at the Fenner School of Environment & Society at the Australian National University. With extensive expertise in geographic information systems, remote sensing, and machine learning applications for environmental data, he contributes significantly to earth science research and environmental monitoring initiatives across Australia. His educational background includes: PhD from the Australian National University (awarded November 8, 2024) Graduate Diploma in Computing Studies from the University of Canberra (awarded April 22, 1993) Bachelor of Science (Honors) from the Australian National University (awarded May 9, 1984) Tony's research focuses on the application of earth observations, in situ data, and AI foundation models for environmental monitoring and prediction. His work particularly emphasizes water resources management, land cover mapping, and environmental change detection through advanced machine learning techniques. He has developed expertise in integrating diverse data sources to create comprehensive environmental information systems that support evidence-based decision making in natural resource management, with a strong emphasis on developing national and international data standards. His recent publications demonstrate a consistent focus on applying convolutional neural networks and other machine learning approaches to environmental remote sensing data, particularly Landsat imagery. These works show an evolution from basic plant identification experiments to sophisticated land cover and vegetation mapping systems with practical applications for environmental monitoring across Australia. His research bridges the gap between theoretical machine learning advancements and practical environmental management needs, with increasing emphasis on temporal stability and accuracy in land cover classification. Tony has extensive professional experience, having served over 25 years in executive roles within the Australian Public Service, including positions at the Department of the Environment, National Library of Australia, and Bureau of Meteorology. At the Bureau of Meteorology, he was responsible for developing a national database of surface and groundwater information that underpins the Water Information Program established under Part 7 of the Water Act 2007. As co-chair of the WMO/OGC Hydrology Domain Working Group from 2013 to 2024, he made significant contributions to the development of WaterML2 international standards for hydrological data exchange.

C James SungView profile

Professor

• Gynecological Pathology
• Breast Pathology
• Cytopathology
• +3 more

Dr. C James Sung is a Professor of Pathology and Laboratory Medicine at Brown University . He specializes in gynecological pathology , breast pathology , and cytopathology , with a focus on tumor pathology and diagnostic applications like the Pap smear . Research Highlights: Investigates HPV-related lesions and gynecological cancers . Explores histological grading and molecular markers in breast and endometrial cancers. Contributes to cytology testing standards and diagnostic accuracy studies. Recent Publications analyze trends in K-ras mutations , mucinous differentiation , and HPV testing across various female cancers, emphasizing tumor biology and diagnostic innovation. Teaching Initiatives include a Chinese Medical Elective for medical students, focusing on Mandarin language skills for clinical communication with Chinese-speaking patients.

Michael S. TorbensonView profile

Professor

• Liver Pathology
• Hepatobiliary Cancers
• Liver Biopsy Interpretation
• +9 more

Michael S. Torbenson, M.D. is a Professor of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota. He serves as a Consultant in the Division of Anatomic Pathology within the Department of Laboratory Medicine and Pathology, focusing his expertise on liver and biliary pathologies with over 250 peer-reviewed publications. Dr. Torbenson's educational background includes: MD from University of Chicago (1995) BS from University of Minnesota Duluth (1991) Fellowship in GI Pathology at The Johns Hopkins Hospital (2001) Fellowship in Liver/Transplant at University of Pittsburgh Medical Center (2000) Residency in Pathology at University of Pittsburgh Medical Center (1999) His laboratory pioneered the discovery of CpG islands in the hepatitis B virus genome and demonstrated viral gene regulation through DNA methylation. Dr. Torbenson has authored five books on liver pathology including comprehensive texts on liver biopsy interpretation and liver tumors, and contributed to the WHO Blue Books on gastrointestinal and liver tumors. His research spans molecular characterization of liver tumors, viral hepatitis mechanisms, and clinicopathological correlations essential for precision medicine approaches. Analysis of Dr. Torbenson's publication record shows consistent contributions to hepatobiliary pathology with increasing emphasis on molecular diagnostics, non-invasive assessment techniques, and translational applications. His work bridges traditional histopathology with genomic and imaging modalities to improve diagnostic accuracy and therapeutic targeting for liver diseases. Dr. Torbenson has received significant professional recognition: President of the Roger C. Haggit Gastrointestinal Pathology Society (2019-2020) President of the Hans Popper Hepatopathology Society (2016-2018) Member of the United States and Canadian Academy of Pathology (2013-present) Active participation in the Gnomes Society (2011-present) and Laennec Society (2007-present) Dr. Torbenson leads major National Cancer Institute-funded initiatives including the Mayo Clinic Hepatobiliary SPORE project (2018-2025) as Co-PI, and previously directed the Fibrolamellar HCC project and Biospecimen and Pathology Core. His research program maintains extensive tissue biospecimen collections that support multiple collaborative projects investigating hepatobiliary cancer mechanisms and diagnostic markers. Through his leadership in anatomic pathology, Dr. Torbenson oversees a multidisciplinary research team that integrates histopathological analysis with molecular techniques to advance understanding of liver diseases. His work directly impacts clinical practice through improved diagnostic criteria and classification systems used worldwide.