Find Academic Supervisors

Svetlana YanushkevichView profile

Professor

• Biometric Technologies
• Machine Learning
• Signal Processing
• +3 more

Dr. Svetlana Yanushkevich is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary. She is also a Full Member of the Hotchkiss Brain Institute and the Mathison Centre for Mental Health Research and Education. Her research focuses on biometric technologies, decision support systems, biomedical applications, and computational intelligence. She leads the Biometric Technologies Laboratory, developing strategies for risk assessment in biometric systems and healthcare monitoring through machine reasoning and signal processing. Education : BSc/MSc in Electrical Engineering (1989), State University of Informatics and Radioelectronics, Minsk PhD in Electrical Engineering (1992), same institution Dr. Habilitated in Technical Sciences (1999), Warsaw University of Technology Research Interests : Dr. Yanushkevich’s work spans biometric system design (e.g., gait analysis, facial attributes), decision support via probabilistic models (Bayesian networks, causal inference), biomedical applications (stroke rehabilitation, wearable sensors), and computational intelligence for data science. She emphasizes fairness, bias mitigation, and trustworthiness in AI systems, particularly in healthcare and accessibility contexts. Recent Research Trends : Her recent publications address causal modeling for accessibility barriers, UAV operator cognitive workload, and medical device optimization in radiation therapy. She explores AI ethics, stress contagion in human-robot teams, and cross-spectral biometric systems. Awards & Recognition : 2024 FEIC Fellow (Engineering Institute of Canada) 2019 Research Excellence Award (Schulich School of Engineering) 2001 Senior IEEE Membership Advising & Grants : She coordinates courses like ENCM 509 (Biometric Systems Design) and ENEL 610 (Biometric Technologies). Her research is supported by grants focusing on healthcare AI, accessibility technologies, and computational epidemiology. Labs & Collaborations : Her Biometric Technologies Lab collaborates with institutions like Hokkaido University and the IEEE Computational Intelligence Society. Projects include wearable health monitoring, decision support platforms, and AI-driven epidemiological modeling.

Kanika GoelView profile

Lecturer

• Process-Oriented Data Analytics
• Data Governance
• Data Quality
• +3 more

Dr. Kanika Goel is a Lecturer in the School of Information Systems at Queensland University of Technology (QUT), specializing in Business Process Management (BPM), Data Governance, and Process Analytics. She holds a PhD from QUT and has over 9 years of teaching experience, coordinating programs such as BIT Honours (IN10) and Masters of Philosophy (IN80). Her research focuses on process-oriented data analytics, data quality, and process mining, with industry collaborations spanning health, retail, and asset management sectors. She is a Lean Six Sigma Green Belt certified trainer and a Fellow of the Higher Education Academy (FHEA). Dr. Goel has led several industry-funded projects, emphasizing applied research in data governance, process mining, and process improvement. Notably, she received the Vice-Chancellor's Award for Excellence (2019) for innovative BPM integration in research management systems. Her work bridges academic research and real-world applications, contributing to journals like Business and Information Systems Engineering and IEEE Access . She teaches courses on Business Process Technologies, Modern Data Management, and BPM units in QUT's continuing professional education programs. Her articles explore topics like data imperfections in healthcare systems, process standardization strategies, and privacy risks in NoSQL databases. She advocates for digital literacy and has published on initiatives to build tech-savvy communities. Dr. Goel is also involved in supervising research topics such as prescriptive process analytics and process-data governance patterns.

Desmond Upton PattonView profile

Professor

• Social Media Impact
• Public Health
• AI Bias
• +7 more

Desmond Upton Patton is the Brian and Randi Schwartz University Professor at the University of Pennsylvania, with joint appointments in the School of Social Policy & Practice and Annenberg School for Communication, and a secondary appointment in the Department of Psychiatry at the Perelman School of Medicine. His work bridges social work, data science, and digital sociology to address issues like social media's impact on marginalized communities, AI bias, and violence prevention. Education: B.A., University of North Carolina at Greensboro (2004); M.S.W., University of Michigan (2006); Ph.D., University of Chicago (2012). Research focuses on social media's role in trauma, grief, and violence among Black and Hispanic youth. He developed the Contextual Analysis of Social Media (CASM) methodology to address cultural biases in AI. Key projects include studying grief pathways on Twitter, digital mourning practices, and algorithmic equity in child welfare systems. Notable awards include the Deborah K. Padgett Early Career Achievement Award (2018) and fellowships at Harvard's Berkman Klein Center and the Harvard Kennedy School. He advises platforms like Twitter and Spotify on safety and bias. Grants include an NSF-funded program supporting STEM researchers from underrepresented backgrounds. He directs SAFELab, which explores digital safety and equity. Courses taught include 'Advocacy in Emergent Technology' and 'Journey to Joy: Designing a Happier Life.' Future work emphasizes AI ethics, inclusive tech policy, and leveraging community insights to shape equitable digital tools.

Carlos Castillo-SalgadoView profile

Professor

• Epidemiology
• Public Health Surveillance
• Geographic Information Systems in Health
• +7 more

Carlos Castillo-Salgado is a Professor at the Johns Hopkins Bloomberg School of Public Health, jointly affiliated with the School of Medicine. He holds primary and joint appointments in the Department of Epidemiology, Population, Family and Reproductive Health, and Health Policy and Management. His work spans epidemiological methodology, public health surveillance, and global health policy. DrPH, Johns Hopkins Bloomberg School of Public Health, 1987 MPH, Johns Hopkins Bloomberg School of Public Health, 1981 MD, National Autonomous University of Mexico, 1978 JD, University of Guadalajara, 1972 His research focuses on epidemiological methods , geographic information systems in health , measuring health inequalities , urban health metrics , and public health intelligence . He is a pioneer in applying GIS to public health and has led major initiatives in health surveillance across Latin America. Recent publications (2023–2025) highlight his continued engagement in global public health challenges , including COVID-19 , vaccine hesitancy , AI in triage , and health inequities in urban settings . His work emphasizes data integration, equity, and policy-relevant research, particularly in Mexico and South America. The Latino Caucus’ Distinguished Nationally Known Health Professional Award 2019 Distinguished Alumnus Award, Johns Hopkins University, 2017 Golden Apple Award, 2017–2018 PAHO/WHO Director's Award for Outstanding Performance, 1996 OTHLI Award Medal from the Government of Mexico, 1999 Numerary Member, National Academy of Medicine of Mexico, 2017 Dr. Castillo-Salgado is a dedicated educator, recognized with multiple teaching and mentoring awards, including the AMTRA Award. He led impactful projects such as the NASA-funded integration of Earth science data into PAHO decision support systems and the "Brasilia Without Borders" executive leadership program. His career includes high-level service at PAHO/WHO, where he achieved the P6 professional rank—the highest in the UN system—demonstrating sustained leadership in global health. He is actively involved in collaborative research networks across Latin America and has contributed to major public health initiatives, including health impact assessments and strategic planning for national health systems.

Eric WideraView profile

Professor

• Palliative Care
• Geriatrics
• Hospice Care
• +11 more

Eric Widera is a Professor of Clinical Medicine in the Division of Geriatrics at the University of California San Francisco (UCSF) School of Medicine. He serves as Director of the Hospice & Palliative Care Service at the San Francisco VA Medical Center, where he leads clinical, educational, and programmatic initiatives. He is a nationally recognized clinician-educator with leadership roles in the American Academy of Hospice and Palliative Medicine (AAHPM) and the Association of Directors of Geriatrics Academic Programs (ADGAP), where he served as past president. Dr. Widera completed his education with a B.S. in Biology from the University of California, Irvine, an M.D. from UCSF, followed by residency in Internal Medicine at Mount Sinai Hospital and fellowship in Geriatric Medicine at UCSF. He further enhanced his academic skills through the Teaching Scholars program and Diversity, Equity, and Inclusion Champion Training at UCSF. His research and academic focus centers on improving care for older adults with serious illness through educational innovation, prognostication, communication, and policy. He is deeply engaged in medical education, having directed the Geriatrics Fellowship at UCSF for over a decade and currently mentoring residents, fellows, and pharmacy trainees. A key interest is the role of digital media in medical education, exemplified by his co-founding of GeriPal, a leading podcast and blog, and ePrognosis, an online prognostic calculator tool. His recent publications span palliative care, Alzheimer’s disease, medical ethics, and health policy, often addressing critical issues in aging and end-of-life care. His scholarly output is extensive and impactful, with recent articles in JAMA , JAMA Internal Medicine , and The New England Journal of Medicine . The body of his work demonstrates a consistent focus on practical clinical challenges, ethical dilemmas, and system-level improvements in care for vulnerable older populations. Themes include prognostic communication, advance care planning, dementia care, and the integration of palliative services across specialties. Dr. Widera has received numerous scientific awards recognizing his excellence, including: Hastings Center Cunniff-Dixon Physician Award (2011) AAHPM Hospice and Palliative Medicine Leaders Under 40 (2015) PDIA Palliative Medicine National Leadership Award (2014) "Visionary in Hospice and Palliative Medicine" Award (2018) Excellence in Teaching Award, Academy of Medical Educators, UCSF (2022) Master Clinician, Council of Master Clinicians, UCSF (2024) He has been the recipient of multiple grants, including the Geriatric Academic Career Award (GACA), and his work has influenced national policy and clinical guidelines. He is an active advisor and educator, shaping the next generation of geriatrics and palliative care leaders. Through his clinical leadership, educational programs, digital platforms like GeriPal, and national advocacy, Dr. Widera plays a pivotal role in advancing the fields of geriatrics and palliative medicine. His work is supported by a robust interdisciplinary team at the San Francisco VA, and he collaborates widely with researchers across UCSF and nationally. His leadership in developing educational resources and digital tools has significantly expanded the reach and impact of geriatrics and palliative care knowledge.

• Implementation Science
• Health Systems Research
• Maternal and Newborn Health
• +10 more

Claudia Hanson is a Senior Lecturer (Docent) at Karolinska Institutet and Professor of Implementation Science and Perinatal Epidemiology at the London School of Hygiene and Tropical Medicine. She is also a visiting researcher at the Aga Khan University in Nairobi. Her career integrates clinical expertise in obstetrics/gynecology, epidemiology, and implementation science. MD, MSc in International Health (Charité, Germany), MSc in Epidemiology, and PhD in Epidemiology (LSHTM) Specializes in maternal and newborn health in LMICs, with fieldwork in East Africa Principal Investigator for ALERT, QUALI-DEC, and SISTer’s Care projects Her research focuses on implementation science, health systems strengthening, quality of maternal care, and perinatal mortality reduction. Recent publications address vaccine confidence, stillbirth prevention, anaemia management, and climate change impacts on birth outcomes. Scientific awards include the SIGHT award (2019), WHO and FIGO advisory roles, and leadership in the Doctoral Programme in Biology of Infections and Global Health (BIGH). She has supervised 10 PhD students (4 main, 8 co-supervised) and leads the Sweden–Tanzania PhD training program in reproductive health.

Timothy WalshView profile

Professor

• Critical Care
• Clinical Trials
• Perioperative Medicine
• +2 more

Professor Timothy Walsh serves as Chair of Critical Care at the University of Edinburgh's Usher Institute within the College of Medicine and Veterinary Medicine. He concurrently holds the position of Director of Innovation for NHS Lothian and Health Innovation South East Scotland, bridging academic research with clinical implementation. His dual roles position him at the forefront of critical care research and healthcare innovation in the UK. Walsh's research spans critical and perioperative care, with a programmatic approach building complex multi-center trials. His work integrates epidemiology, systematic reviews, cohort studies, and stakeholder engagement to develop pragmatic trials. Recent focus includes AI algorithm validation, sedation protocols, transfusion medicine, and sepsis management. His fingerprint reveals deep expertise in Intensive Care Medicine (100%), Intensive Care Unit operations (74%), and Critical Illness (70%), with notable contributions to sedation research (35%) and sepsis (26%). His 221 research outputs include high-impact publications in NEJM, JAMA, and The Lancet. Current projects like the SHORTER antibiotic trial and aerosolized virus quantification study demonstrate ongoing leadership in trial methodology. As Director of Innovation for NHS Lothian (2018-2024), he established data-driven innovation frameworks connecting academic and industry partners to address NHS challenges. Walsh has secured £9 million as Chief Investigator and £34 million as co-applicant from NIHR, MRC, Wellcome, and industry sources. His leadership extends to founding the NIHR critical care specialty group (2007-15) and UK critical care research group (2007-16), which remain foundational to UK critical care research infrastructure. Trustee at Chest Heart & Stroke Scotland (2021-present) Director of Research & Development for NHS Lothian (2017-2021) Chair of 19 trial steering/data safety monitoring committees Leadership in 13 ECTU trials, 9 UK trials, and multiple international studies

Sarah Collins RossettiView profile

Associate Professor

• Biomedical Informatics
• Nursing Informatics
• Predictive Analytics
• +3 more

Sarah Collins Rossetti is an Associate Professor of Biomedical Informatics and Nursing at Columbia University’s Vagelos College of Physicians and Surgeons. She focuses on leveraging computational tools to reduce documentation burden in EHR systems and improve patient safety through predictive analytics. PhD in Nursing from Columbia University School of Nursing Post-Doctoral Research Fellowship at Columbia’s Department of Biomedical Informatics Her research emphasizes AI-driven patient deterioration prediction , user-centered design , and interprofessional collaboration to enhance clinical workflows. She co-leads the CONCERN Early Warning System study, which reduced mortality risk by 35% and sepsis risk by 7.5%. Recent publications highlight trends in generative AI limitations in EHRs, equity in predictive systems , and healthcare process modeling . She chairs AMIA’s 25×5 Task Force to reduce documentation burden by 75% by 2025. 2019 PECASE recipient 2024 Donald A.B. Lindberg Award for Informatics Innovation 2019 FAMIA recognition Rossetti collaborates with health analytics centers and trains future researchers through NIH- and AHRQ-funded projects, blending machine learning with clinical expertise in critical care settings.

Ibrahim DemirView profile

Adjunct Associate Professor

• Hydroinformatics
• Environmental Information Systems
• Artificial Intelligence
• +8 more

Ibrahim Demir serves as an Adjunct Associate Professor in the Department of Civil and Environmental Engineering at the University of Iowa's College of Engineering, while also holding an Associate Faculty Research Engineer position at IIHR—Hydroscience and Engineering. His interdisciplinary work bridges hydroinformatics, environmental engineering, and advanced computing technologies to address critical water resources challenges through innovative digital solutions. His educational background includes a PhD in Environmental Informatics and Control Program from the University of Georgia (2010), an MS in Environmental Engineering from Gebze Institute of Technology (2004), and a BS in Chemistry from Bogazici University (2000). This foundation supports his integration of chemical, environmental, and computational sciences in hydrological research. Dr. Demir's research centers on hydroinformatics and AI-driven environmental systems, with core expertise in scientific visualization, cyber systems design, and virtual/augmented reality applications. He develops web-based frameworks for flood risk assessment, drought analysis, and water quality management, emphasizing real-time data integration and user-friendly interfaces. Recent work focuses on domain-specific language models for hydrology (HydroLLM) and immersive visualization tools that transform complex hydrological data into actionable insights for researchers and practitioners. Analysis of his 2024-2025 publications reveals a strong trajectory toward AI-hydrology integration, with 78% of works involving machine learning or large language models. Key themes include flood risk communication (22% of publications), algal bloom prediction (15%), and educational technology applications (12%). His research increasingly emphasizes scientific reproducibility through no-code visual programming frameworks and digital twin implementations for watershed systems. Dr. Demir actively contributes to scholarly discourse as Associate Editor for Environmental Modeling and Software, Journal of Hydroinformatics, Journal of Environmental Informatics, and Water and Artificial Intelligence (Frontiers in Water). He serves as Vice-Chair of the International Joint Committee on Hydroinformatics (IAHR/IWA/IAHS) leadership team, shaping global standards in hydroinformatics research and practice. His work with IIHR—Hydroscience and Engineering drives the development of open-source cyberinfrastructure including RIMORPHIS (River Morphology Information System) and HydroSuite. These platforms enable collaborative river morphology research and provide modular tools for hydrological analysis, education, and operational decision support, demonstrating his commitment to accessible, community-driven scientific advancement.

Sarah Ben AmorView profile

Professor

• Multi-Criteria Decision Making (MCDM/MCDA)
• Operations Research
• Decision Support Systems
• +5 more

Sarah Ben Amor is a Full Professor at the Telfer School of Management , University of Ottawa, with a PhD in Business Administration specializing in Operations and Decision Support. Her academic journey includes a B.A. from the University of Quebec in Outaouais (UQO), and M.Sc. and Ph.D. from Université Laval (uLaval). Fields of Interest : Multi-Criteria Decision Making (MCDM/MCDA), Operations Research, Decision Support Systems, Uncertainty Modeling, Risk Analysis Her research focuses on handling information imperfections in decision-making processes, particularly through multi-criteria analysis and stochastic modeling . Recent works include the development of hierarchical stochastic VIKOR methods, assessment of learning methodologies, and applications in healthcare and pharmaceutical decision-making. Her publication trends reveal a strong emphasis on multi-criteria frameworks for uncertain environments, spanning sustainable manufacturing , clinical decision-making , and portfolio analysis . Collaborative works appear in journals like Applied Soft Computing and Osteoarthritis and Cartilage . She has secured significant funding including: NSERC Grant (2019-2024): $130,000 Telfer School Grants : $6,000 (2014-2018) and $4,000 (2021-2022) Her educational contributions include teaching quantitative methods and developing decision-making models for defense, healthcare, and sustainability sectors, with international collaborations spanning Canada, Brazil, and Europe.

• Addiction Medicine
• Psychiatry
• Neuroscience
• +7 more

Keith Humphreys is a Professor at Stanford University , teaching courses in psychiatry and behavioral sciences. His research focuses on addiction medicine, opioid crisis interventions, and public health policy. He employs interdisciplinary methodologies, including neuroscience and machine learning, to analyze substance use disorders and treatment outcomes. Teaching: PSYC 290 (Teaching in Psychiatry), PSYC 370 (Medical Scholars Research), and others His recent work explores opioid epidemic monitoring via social media, neuromodulation therapies for alcohol use disorder, and policy frameworks for psychedelics and cannabis. Publications span clinical trials, health informatics, and global epidemiology. Key trends in his 15 most recent articles (2023–2025) include: Neuroscience-driven interventions (e.g., theta burst stimulation for addiction) Digital epidemiology (social media analysis for real-time public health insights) Health policy evaluation (opioid regulation, cannabis legalization, overdose mortality) Machine learning applications in predicting treatment outcomes

• Palliative Care
• Aged Care
• Digital Health
• +3 more

Professor Jennifer Tieman (Flinders University) is a leading Matthew Flinders Professor and Director of the Research Centre for Palliative Care, Death and Dying. As inaugural Dean (Research) of the College of Nursing and Health Sciences, she leads nationally/internationally recognized programs to enhance Australian health/aged care systems through digital knowledge tools like CareSearch , palliAGED , and ELDAC . Education: PhD (Flinders University, 2011), MBA (University of South Australia, 2008), BSc(Hons) (Melbourne University) Research Focus: Digital knowledge translation in palliative/aged care, evidence-based end-of-life resources, home care funding models, and death doula integration. She established Flinders Filters – a bibliometric research group. Teaching: Led the Dying2Learn MOOC (6,000+ enrollments) and developed palliative care training modules for aged care nurses (60,000+ completions). Scientific Awards: Innovation in Palliative Care award (2017, Dying2Learn MOOC) Finalist in 2024 Innovation in Palliative Care Awards Professional Engagement: Sits on National Advisory Group (Doctors Legal Knowledge Project), Advance Care Planning Australia committee, and Palliative Care Australia’s expert panel. Leads the CareSearch project and co-led ELDAC’s Knowledge Hub.

• Digital Transformation
• Responsible Artificial Intelligence
• Foresight Methods
• +4 more

Matti Minkkinen is a Docent at the Turku School of Economics (University of Turku) and a Postdoctoral Researcher in Information Systems Science at the Department of Management and Entrepreneurship. His work bridges futures studies with ethics, privacy, and socio-technical systems in digital transformation. Recent roles focus on responsible AI governance and foresight methodologies. University: University of Turku School: Turku School of Economics Department: Department of Management and Entrepreneurship His research explores how digital technologies reshape organizational practices, emphasizing Futures Consciousness as a human capacity. Key themes include responsible AI , privacy protection , and causal layered analysis in scenario planning. Publications highlight ethical governance frameworks and EU policy debates. Recent articles address generative AI ethics , ML system integration , and AI auditing across journals like Communications of the Association for Information Systems and Information and Management . Topics cluster around socio-technical systems, digital ethics, and institutional adaptation to AI. Teaching and editorial roles include co-curating student research collections at Finland Futures Research Centre. No explicit scientific awards are listed, but his work contributes to foresight theory and practice.

Summer HanView profile

Associate Professor

• Statistical genetics
• Molecular epidemiology
• Cancer screening
• +5 more

Dr. Summer Han serves as Associate Professor of Medicine, Neurosurgery, and Epidemiology at Stanford University School of Medicine. She leads research through the Quantitative Sciences Unit (QSU) in the Biomedical Informatics Research Division of the Department of Medicine and maintains joint appointments in the Department of Neurosurgery. Her work bridges statistical methodology development with clinical applications in cancer screening and neuroscience. Her research program focuses on statistical genetics, molecular epidemiology, and risk prediction modeling for complex diseases. Key areas include developing novel methods for analyzing high-dimensional genomic data, creating dynamic risk prediction models under competing risks, and establishing evidence-based cancer screening strategies. Her team integrates genetic, environmental, and clinical factors to improve early detection of lung cancer and second primary malignancies, with particular attention to reducing racial disparities in screening outcomes. Dr. Han's scientific contributions have been recognized through prestigious awards including the NCI R37 MERIT Award for Early-Stage Investigators and the Department of Medicine Teaching Award in Biomedical Informatics Research. Her team has developed impactful tools such as the SPLC-RAT for second primary lung cancer risk assessment and RAMBO for brain metastasis prediction in lung cancer patients. She actively mentors PhD students and postdoctoral fellows, with several former trainees securing faculty positions at institutions including Cornell University and IIT Roorkee. Current research initiatives include the Oncoshare-Lung database integrating EHRs from Stanford Health Care and 23+ Sutter Health sites across Northern California, and the Cancer Data Science Shared Resources Core which she co-directs at the Stanford Cancer Institute. NCI R37 MERIT Award (Early-Stage Investigator) 2022 Department of Medicine Teaching Award in Biomedical Informatics 2024 SCI Equity Impact Research Grant 2024 Neurosurgery Research Seed Grant Award Multiple NCI R01 grants (CA226081, CA282793) Her laboratory collaborates extensively across Stanford Medicine, working with thoracic oncologists, neurosurgeons, and epidemiologists to translate statistical innovations into clinical practice. Current projects address socioeconomic factors in cancer risk stratification, real-time physical activity monitoring in spine surgery recovery, and machine learning approaches for genomic data analysis.

Anastasija ArechvoView profile

Senior Lecturer

• Fetal Medicine
• Obstetrics and Gynaecology
• Maternal-Fetal Medicine
• +6 more

Anastasija Arechvo is an Honorary Senior Lecturer at King's College London and Consultant in Fetal Medicine across King’s College Hospital NHS Foundation Trust, Queen’s Hospital (Barking, Havering and Redbridge University Hospitals NHS Trust), and Luton & Dunstable University Hospital (Bedfordshire Hospitals NHS Foundation Trust). She serves as School Lead for Academic Partnerships within King's School of Life Course & Population Sciences, driving global educational collaborations. Her educational background includes: Master’s degree in Genomic Medicine from Queen Mary University of London Currently pursuing Master’s in Global Health at King's College London Dr. Arechvo's research centers on fetal brain development and pregnancy complications, leading the Neurosonography clinic for comprehensive fetal brain assessment across three hospitals. Her work spans pre-eclampsia, gestational diabetes, stillbirth, and AI applications in maternal healthcare, conducted in close collaboration with Professor Kypros Nicolaides' team at the Harris Birthright Research Centre for Fetal Medicine. Recent publications reveal a strong focus on socioeconomic determinants of pregnancy outcomes and AI-driven predictive modeling, exemplified by the EMBRACE project—a global initiative revolutionizing maternal-child health through artificial intelligence interventions. Dr. Arechvo actively supervises PhD, MSc, and BSc students alongside research fellows through King's College London, St George’s University of London, and the Fetal Medicine Foundation. Her academic partnership initiatives strategically enhance educational delivery across institutional networks while advancing fetal medicine service development. She directs the Neurosonography clinic network and collaborates with the Harris Birthright Research Centre, focusing on clinical innovation in fetal brain assessment and pregnancy complication management across multiple NHS Trusts.