Find Academic Supervisors

• Tuberculosis (TB)
• Latent Tuberculosis Infection
• Nontuberculous Mycobacteria
• +3 more

Lloyd Friedman, MD is a Professor of Medicine in the Department of Pulmonary, Critical Care & Sleep Medicine at Yale School of Medicine. He serves as Director of Inpatient Quality and Safety and Director of Firm Operations within Internal Medicine. His clinical expertise focuses on tuberculosis (TB), latent TB infection, nontuberculous mycobacteria, and critical care for critically ill patients at Yale New Haven Hospital. Education & Training: Fellow, Yale University School of Medicine (1988) Resident, Oregon Health Sciences University (1982) Intern, Beth Israel Medical Center (1980) MD, Yale University (1979) BA, Columbia University (Biochemistry, 1975) Research Interests: Dr. Friedman’s work centers on tuberculosis epidemiology, treatment protocols for drug-susceptible TB, and clinical innovations in critical care. Notable projects include long-term cohort studies of NYC welfare patients tracking TB, AIDS, and mortality, and development of predictive algorithms for mechanical ventilation success. His work bridges clinical practice with public health policy, particularly in low-incidence settings. Publications: Over 20 peer-reviewed articles and book chapters on TB diagnostics, biologic therapy interactions, and electronic health record implementation. Key contributions include state-level TB treatment guidelines for Connecticut and international clinical tuberculosis textbooks. Awards: 2023 Fred S. Kantor Teacher of the Year Award (Yale School of Medicine) 2004 David Lyman Russell Award (American Lung Association) Labs/Teams: Active collaborations include the CPIRT Center for Pulmonary Injury Research and the Winchester Center for Lung Disease. He chairs Connecticut’s Advisory Committee for TB Elimination and serves on multiple hospital quality and safety committees.

• Signal Processing
• Radar Systems
• Machine Learning
• +5 more

Ari Visa is a Professor at the Faculty of Information Technology and Communication Sciences, Department of Computing Sciences at Tampere University. His research focuses on signal processing, radar systems, machine learning, robotics, and structural health monitoring. He has authored over 170 publications and contributed to projects in industrial automation, biomedical engineering, and sensor networks. His work spans applications such as data-driven ISAR imaging, fatigue analysis in aircraft structures, and aroma-based indoor localization. Notable contributions include radar clutter modeling, sensor fusion techniques, and algorithm development for industrial drilling operations. He has collaborated on EU projects like cHiPSet (High-Performance Modelling for Big Data) and holds a patent for an intelligent toothbrush monitoring device. Recent research trends emphasize fusion of data streams (e.g., radar/5G integration), machine learning for classification tasks (food scent analysis, metallic object detection), and real-time systems for manufacturing/health monitoring. His work bridges theoretical signal processing with practical industrial and biomedical applications. Key achievements include pioneering radar target characterization methods, developing kinematic models for heavy-duty manipulators, and advancing sensor-based localization techniques. Ongoing projects involve AI-driven predictive maintenance and multi-modal data analysis frameworks.

• Cancer Screening
• Primary Care
• Chronic Pain Management
• +4 more

Dr. Jeffrey Kravetz is an Associate Professor of Medicine (General Medicine) at Yale School of Medicine and serves as the Primary Care Service Line Manager at the Veterans Affairs Healthcare System. His work focuses on improving healthcare outcomes through initiatives in cancer screening, chronic pain management, and healthcare equity. He holds an MD from New York University and a BS in Microbiology from Cornell University. Education: M.D., New York University School of Medicine (1998) B.S., Cornell University, Microbiology (1994) Research Interests: Dr. Kravetz leads studies on lung and colorectal cancer screening adherence, disparities in healthcare access for veterans, and innovative approaches to chronic pain treatment. His recent work emphasizes leveraging telemedicine and mailed testing to enhance preventive care delivery. Publications: His research spans topics like lung cancer screening disparities, buprenorphine access for chronic pain patients, and virtual care models during pandemics. Key themes include veterans' health equity and optimizing primary care workflows. Awards: Asghar Rastegar Teacher of the Year (2016) Hippolyte M. Wertheim Award (1998) Advocacy & Leadership: Dr. Kravetz mentors junior faculty and contributes to VA committees on medication management and clinical informatics. He also founded the Woodbridge Parks Association Trail Race to promote community health.

• Emergency Medicine
• Healthcare Quality Improvement
• Physician Performance Metrics
• +3 more

Andrew Ulrich, MD, is a Professor of Emergency Medicine and Vice Chair of Operations at the Yale School of Medicine. He earned his MD from Albert Einstein College of Medicine in 1989. His research focuses on emergency department operations, healthcare quality improvement, physician performance metrics, and pandemic response strategies. Key areas include reducing diagnostic overuse, optimizing emergency department throughput, and addressing disparities in healthcare access. He has contributed to studies on SARS-CoV-2 contamination in emergency settings and the implementation of clinical pathways during the pandemic. Dr. Ulrich collaborates with researchers such as Arjun Venkatesh, Craig Rothenberg, and Rohit Sangal. His work emphasizes practical solutions to enhance clinical workflows and patient outcomes. He is affiliated with the Reid Lab for Innovation in Population Health, focusing on translational research to improve healthcare systems. Notable publications address physician performance evaluation, EMS protocols for low-risk patients, and the impact of universal testing on emergency department operations. His research underscores the intersection of clinical practice, public health, and operational efficiency in acute care settings.

• Data Visualization
• Spatial Analysis
• Urban Cycling Behavior
• +4 more

Roger Beecham is a Senior Lecturer at City, University of London's Department of Computer Science, part of the School of Mathematics, Computer Science and Engineering. His work focuses on visualization design, spatial analysis, and urban mobility patterns. He holds a PhD from City University London (2014) and has collaborated with law enforcement, transport authorities, and cultural institutions. His research combines data-driven analysis with visual methodologies to address challenges in crime pattern detection, labor market dynamics, and bikeshare system usage. Educated at City, University of London (PhD in 2014) Research interests include applied visualization frameworks, multi-perspective data analysis, and the interplay between spatial structure and graphical inference. His work bridges computer science and urban studies, with notable contributions in: Design Exposition Discussion Documents for collaborative visualization Spatial explanations of political voting patterns Gendered cycling behavior analysis Crime analysis tool development His publications emphasize methodological innovation and interdisciplinary impact, with over 20 peer-reviewed articles in top journals like IEEE Transactions on Visualization and Environment and Planning A.

• Glaucoma
• Artificial Intelligence in Ophthalmology
• Advanced Clinical Practice
• +3 more

Dr. Anish Jindal serves as Honorary Associate Professor (Teaching) at University College London's Institute of Ophthalmology and holds dual clinical leadership roles as Principal Optometrist and Optometry Learning & Development Lead at Moorfields Eye Hospital NHS Foundation Trust. With nearly two decades of integrated academic and clinical experience, he directs optometrist-led glaucoma clinics while leading educational modules at both BSc and MSc levels across UCL and City, University of London. His educational qualifications include a PhD in Diagnostic accuracy of structural and visual function tests to detect age-related eye disease (2020) and MSc in Clinical Optometry (2013) from City University, complemented by a BSc (Hons) in Optometry from UMIST (2004). Professional certifications include Senior Fellowship of the Higher Education Academy (2024), Fellowship of the College of Optometrists (2022), and Diploma in Independent Prescribing (2011). Dr. Jindal's research centers on transforming ophthalmic care through technology-enhanced education and AI-driven clinical solutions. His primary focus areas include glaucoma management, ocular emergency protocols, and the development of artificial intelligence systems for ophthalmic triage optimization. Current investigations examine how advanced optometric practice models and educational interventions can improve diagnostic accuracy in community settings while expanding scope-of-practice capabilities within integrated healthcare systems. Analysis of his 36 recent publications reveals a dominant research trajectory in AI-powered triage systems (45% of 2023-2025 output) and optometric advanced practice evaluation (30%), demonstrating consistent translation of clinical challenges into technology-mediated solutions. His work bridges ophthalmology, optometry, and computer science to address critical gaps in eye care delivery. Professional recognition includes: Senior Fellowship of the Higher Education Academy (2024) Fellowship of the Higher Education Academy (2022) Fellowship Member of the College of Optometrists (2022) As an educator, Dr. Jindal has shaped optometry curricula through leadership of UCL's Ocular Emergencies MSc module and City University's Contact Lenses BSc module. His NIHR-funded research fellowship (2021-2023) at Moorfields supported development of the DEM DX Ophthalmology Triage System, while ongoing collaborations with the Association of Optometrists and College of Optometrists influence national practice standards. Current projects focus on implementing AI triage platforms and expanding optometric roles in glaucoma management. He actively leads Moorfields' Optometry Learning & Development program and contributes to the College of Optometrists' Independent Prescribing panel, driving innovation in both clinical service delivery and professional education frameworks for advanced optometric practice.

Evangelos PappasView profile

Professor

• Physiotherapy
• Biomechanics
• Medical biotechnology
• +7 more

Evangelos Pappas serves as the Director of RMIT's MedTech Research and Innovation Hub, Professor of Musculoskeletal Health, and RMIT's inaugural Professorial Vice-Chancellor's Research Fellow at RMIT University's School of Health and Biomedical Sciences. His work bridges engineering, computer science, and healthcare, focusing on technology-driven solutions to prevent injuries and improve recovery for people with musculoskeletal conditions. A world expert on anterior cruciate ligament (ACL) injuries of the knee, Professor Pappas has dedicated his career to understanding why these injuries occur, improving rehabilitation protocols, and developing prevention strategies. His research spans the entire injury journey—from identifying risk factors to developing strategies that reduce the likelihood of first-time and repeat ACL tears. A key aspect of his work involves using advanced motion capture technology, wearable sensors, and artificial intelligence to better understand injury mechanics and detect subtle movement patterns that predict injury risk. His recent publications demonstrate a strong focus on translating research into practical applications, with significant contributions to injury prevention programs like the FIFA 11+, ACL injury economics, and innovative approaches to rehabilitation. His work shows increasing integration of technology with clinical practice, particularly through the use of wearable sensors and AI for movement analysis. The research spans multiple domains including sports medicine, biomechanics, and clinical rehabilitation, with a growing emphasis on evidence-based prevention strategies and their economic impact. Professor Pappas actively supervises research students and collaborates with the Aikenhead Centre for Medical Discovery, Northern Health, and international partners to ensure his research has real-world impact. His work closely aligns with UN Sustainable Development Goals 3 (Good Health and Well Being), 4 (Quality Education), and 10 (Reduced Inequalities), reflecting his commitment to improving healthcare accessibility and outcomes. He has extensive teaching experience across three continents, having previously served as Department Chair of Physical Therapy at Long Island University and Head of Discipline for Physiotherapy at the University of Sydney. At RMIT, he continues to integrate cutting-edge research into the classroom, emphasizing critical thinking and evidence-based practice to prepare the next generation of healthcare professionals.

• Assisted Reproductive Technologies (ART)
• Embryo Culture Techniques
• Cryopreservation
• +6 more

Cihan Halicigil is an Assistant Professor in Obstetrics, Gynecology & Reproductive Sciences at Yale School of Medicine and Laboratory Director at the Yale Fertility Center and Yale Medicine Greenwich Fertility. He holds dual MSc degrees (Biotechnology and Clinical Embryology) and a PhD in Biology from Middle East Technical University (METU), with additional training at Leeds University. With over 20 years of experience, he has overseen 13,000+ fresh IVF cycles and trained dozens of clinical embryologists. His research focuses on embryo culture optimization, micromanipulation techniques, cryopreservation, preimplantation genetic testing (PGT), and AI-driven advancements in IVF. Recent work explores IVF applications in space environments and fertility diagnostics. He leads initiatives to improve embryo selection and laboratory automation, emphasizing clinical outcomes and ethical standards. Key contributions include co-authoring Turkish Society of Reproductive Medicine guidelines for PGT-M and developing novel diagnostic tools like paper-based fertility testing. His lab collaborates on interdisciplinary projects, such as leveraging YOLOv8 AI models for male fertility assessment and studying microgravity effects on human reproduction.

• Pathology
• Surgical Pathology
• Allergy and Immunology
• +3 more

Paul Jay Cohen is an Associate Professor of Pathology at Yale School of Medicine and Chair of Pathology at Bridgeport Hospital. He serves as Site Director for the Yale Pathology Residency Program at Bridgeport Hospital. Education: MD from Columbia University (1981) Training: Residencies at Massachusetts General Hospital and National Cancer Institute, followed by a post-doctoral fellowship at Howard Hughes Medical Institute/Johns Hopkins His research focuses on surgical pathology, healthcare quality improvement, and diagnostic challenges in immunology and respiratory diseases. Key areas include pathology report accuracy, molecular diagnostic tools like the Pathwork Tissue of Origin Test, and tumor characterization in urologic and breast cancers. Recent publications (2010-2015) address clinical diagnostic practices, biomarker applications, and tumor measurement discrepancies between imaging and histology. He collaborates frequently with colleagues like Natalia Buza and Neal Fischbach on pathology-related investigations. Dr. Cohen holds board certification in anatomic pathology and maintains active roles in residency education and clinical service leadership at Bridgeport Hospital.

• Machine Learning
• Explainable AI
• Healthcare Data Analytics
• +6 more

Dr. Alison O'Connor is an Assistant Professor at the University of Limerick , affiliated with the Department of Computer Science & Information Systems , Ageing Research Centre , and Lero – the Irish Software Research Centre . Her research bridges machine learning with mechanics of materials and healthcare data analytics , focusing on applications in structural integrity , Industry 4.0 , and medical informatics . Education : PhD in Mechanical Engineering (Imperial College London, 2015-2019), Graduate Diploma in Advanced Materials (2008-2009), and BSc in Aeronautical Engineering (2004-2008). Her research interests span explainable AI for healthcare decision-making, finite element analysis in nuclear steel integrity, and cold rolling process modeling . Recent publications highlight her work on agent-based patient pathway simulations and MRI texture analysis of traumatic brain injury. She contributes to journal peer-review and university committees as a core member. Publication trends show dual expertise: 50% in structural integrity and materials science, 50% in neuroscience and medical diagnostics . Key subfields include dopamine regulation , microdialysis techniques , and computational medicine .

Val TannenView profile

Professor

• Database Theory
• Programming Language Theory
• Data Provenance
• +5 more

Val Tannen is a Professor in the Department of Computer and Information Science (CIS) at the University of Pennsylvania, holding appointments since 1987. He has undertaken numerous visiting roles, including at Simons Institute (2023), EPFL (2020, 2011-2012), NUS (2019), and institutions in Greece, France, and elsewhere. Education: Polytechnic Institute of Bucharest (Engineer Diploma, 1977) MIT (PhD in Applied Mathematics/Computer Science, 1983-1987) His research spans database theory, programming language theory, logic, and applications to bioinformatics. Key contributions include provenance frameworks and complex object modeling , impacting data integration, uncertainty management, and systematic biology. Notable awards include ACM Fellowship , Mendelzon Test-of-Time Award , and NSF Presidential Young Investigator . His work has been disseminated through 30+ conference program committee roles and editorial contributions. Scientific Awards: 10 years Mendelzon Test-of-Time Award ACM Fellow 20 years Test-of-Time Award NSF Presidential Young Investigator

Ann BisantzView profile

Professor

• Cognitive Engineering
• Human Factors in Healthcare
• Healthcare Systems Design
• +4 more

Ann Bisantz is the Vice Provost & Dean of Undergraduate Education and a SUNY Distinguished Professor in the Department of Industrial and Systems Engineering at the University at Buffalo. Her research focuses on cognitive engineering, human factors in healthcare, and decision-making systems in complex environments. She leads projects analyzing human-machine interaction, emergency medicine workflows, and the design of health IT systems. Education: PhD in Industrial Engineering Key Affiliations: School of Engineering and Applied Sciences Her research integrates cognitive systems engineering principles to improve healthcare safety, surgical team communication, and emergency department workflows. Notable projects include developing electronic health record displays for clinicians and studying trust in AI-driven medical decision support systems. Recent work emphasizes resilience engineering in healthcare, analyzing how systems can better anticipate and adapt to failures. Her articles explore automated driving safety, robot-assisted surgery communication, and mental health crisis support apps. Awards: SUNY Distinguished Professor designation Grants include funding from NSF, AHRQ, and the Department of Homeland Security. She has supervised numerous UB students in research projects addressing healthcare system challenges. Her work also extends to educational equity, applying systems approaches to support underrepresented minorities in STEM.

• Additive Manufacturing
• Crystal Plasticity
• Finite Element Methods
• +3 more

Björn Nijhuis is a researcher at the University of Twente , specializing in computational mechanics and additive manufacturing technologies. His work focuses on developing robust numerical frameworks for crystal plasticity finite element modeling (CPFEM) and machine learning-enhanced thermal analysis in metal 3D printing. Principal Investigator for postdoctoral project: Repurposing of steel by in-depth understanding of microstructure-property relations PhD research: Efficient Thermomechanical Modelling of Large-Scale Metal Additive Manufacturing Research highlights include: Innovative stress-update algorithms for rate-independent plasticity Fourier neural operator applications for temperature evolution prediction Integration of Fortran-based CPFEM with Abaqus software Development of simplified MATLAB implementations for algorithm testing Scientific achievements: Recipient of Biezeno Award (2023) Contributions to 10+ peer-reviewed publications Active participation in international conferences (ESAFORM 2022, MORTech 2023, IUTAM 2022) Current research involves: Metallic material microstructure analysis Large-scale additive manufacturing simulations Machine learning integration for manufacturing optimization Collaborative work with supervisors Prof. Ton van den Boogaard and Dr. Emin Semih Perdahcioglu

• Nuclear Medicine
• Radiopharmaceuticals
• Targeted Radionuclide Therapy
• +7 more

Erik de Blois is an Assistant Professor in the Department of Radiology & Nuclear Medicine at Erasmus MC, where he conducts cutting-edge research in targeted radionuclide therapy and radiopharmaceutical development. His work bridges radiochemistry, preclinical evaluation, and clinical implementation of novel alpha and beta-emitting therapies. Research Interests: His primary research focuses on Actinium-225 and Lutetium-177 based therapies, particularly for prostate cancer and neuroendocrine tumors. He investigates chelator optimization, radiolysis mitigation, biodistribution, dosimetry, and quality control of radiopharmaceuticals. His fingerprint highlights expertise in Targeted Radionuclide Therapy , Radioisotopes , Prostate Specific Membrane Antigen , and Neoplasm . Publication Trends: His recent publications (2022–2025) emphasize practical implementation of Ac-225 therapies, clinical experiences with PSMA-targeted agents, radiochemical optimization, and comparative studies of emerging radionuclides like Terbium-161. The research spans from bench to bedside, with a strong focus on safety, efficacy, and scalability of novel theranostic agents. Scientific Awards: No awards listed in the provided text. Advising and Grants: While specific students or grants are not mentioned, his role as a principal investigator on multiple peer-reviewed publications and involvement in IAEA initiatives suggest active supervision and external funding acquisition. He collaborates extensively with national and international experts in nuclear medicine and radiochemistry. Labs and Teams: He is part of a multidisciplinary team at Erasmus MC focused on advancing targeted alpha therapy, working closely with clinical and technical experts in nuclear medicine. His research contributes to the institution’s leadership in theranostics and personalized cancer treatment.

Liam RooneyView profile

Research Fellow

• Bacteriology
• Advanced Optical Imaging
• Antimicrobial Resistance
• +3 more

Liam Rooney is a Research Fellow and Adjunct Lecturer at the Strathclyde Institute of Pharmacy and Biomedical Sciences (University of Strathclyde). He holds a Fellowship in Bacteriology within the School of Infection & Immunity, focusing on advanced optical imaging methods applied to infection biology, antimicrobial resistance, and biofilm dynamics. His lab explores spatial dynamics of infections and develops open microscopy initiatives, including 3D-printed optical components and low-cost imaging tools. He has contributed to projects such as 'Revolutionising Pharmacology Education' and 'A single-step laser fabrication approach for antimicrobial surfaces.' Rooney has authored over 47 research outputs, including peer-reviewed articles and datasets, and has been recognized with 15 scientific awards, including the Best Talk Prize at SENSR-BIS Conference 2023. His research spans biofilm architecture, microbial interactions, and imaging innovations. Collaborative projects emphasize interdisciplinary approaches, integrating microscopy, additive manufacturing, and clinical diagnostics. Rooney's work aligns with UN Sustainable Development Goals, particularly those addressing health and environmental sustainability. Key Research Areas: Biofilm dynamics, antimicrobial resistance, optical microscopy, 3D-printed optics, bacterial pathogenesis Awards: Best Talk Prize (2023), SENSR-BIS Conference Prize (2023) Grants/Projects: Principal Investigator in two major grants (2024–2025) Labs/Teams: Leads microscopy and biofilm research groups at Strathclyde