Find Academic Supervisors

Carlos Cámara-MenoyoView profile

Lecturer

• Urban Studies
• Open Science
• Urban Commons
• +3 more

Carlos Cámara-Menoyo is a Senior Research Software Engineer at the University of Warwick's Centre for Interdisciplinary Methodologies, where he bridges technical expertise with urban research. He holds a PhD in Information and Knowledge Society from the Universitat Oberta de Catalunya (2018), awarded the IND+I Science Prize. His academic roles include Lecturer at Universidad San Jorge and Associate Lecturer at Oxford Brookes University and Universitat Oberta de Catalunya. Education : PhD in Information and Knowledge Society (2018), Universitat Oberta de Catalunya MSc in Information and Knowledge Society (2012), Universitat Oberta de Catalunya MSc Architecture (2004), Universitat Politècnica de Catalunya Research Interests : Urban Studies, Open Science, Spatial Justice, Data Visualization, and Urban Commons. His work explores commodifications between cities, technology, and society, focusing on equitable urban development and participatory methods. Articles : His recent work addresses the Food-Water-Energy Nexus, participatory urban governance, and inclusive GIS applications. Key themes include sustainability transformations and co-design processes. Awards : IND+I Science Prize (2018), Cum Laude PhD distinction. Advising & Grants : Supervised Master’s theses on urban commons and co-production. Active in collaborative projects like Zaragoza Accesible and the Creating Interfaces initiative. Labs & Teams : Leads research software engineering efforts at CIM, promoting open science and reproducible workflows.

Frank MaurerView profile

Professor

• Extended Reality (XR)
• Immersive Analytics
• Human-Computer Interaction (HCI)
• +7 more

Dr. Frank Maurer is a Professor in the Department of Computer Science at the University of Calgary, specializing in Extended Reality (XR) and Immersive Analytics. His work focuses on serious applications of XR in healthcare, energy, and engineering sectors. He leads the SEER Group, advancing cross-reality prototyping tools and digital twin technologies. Maurer holds a Diplom and a Dr. rer. nat. in Computer Science from the University of Kaiserslautern (1989 and 1993). Research areas include XR prototyping , immersive analytics , UX design for 5G-XR , and healthcare applications like pre-surgical epilepsy evaluations. He collaborates on strategic initiatives such as Brain/Mental Health and Energy Innovations. Recent work explores hydrogen pipeline monitoring, seismic data analysis (Siera tool), and generative AI integration in XR. Publications emphasize technical challenges in 3D medical imaging, reservoir engineering workflows, and cross-reality application testing. Maurer teaches Research Methods in Computer Science and has pioneered tools like NiwViw (immersive analytics authoring) and SpyREST (API documentation). His lab develops solutions for multi-surface environments and emergency response systems.

Behrouz FarView profile

Professor

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +5 more

Behrouz Far is a Professor at the University of Calgary’s Schulich School of Engineering, Department of Electrical and Software Engineering. He holds a PhD in Artificial Intelligence from Chiba University, Japan (1990) and degrees from the University of Teheran including a B.S. in Electrical Engineering (1983) and M.S. in Electrical Engineering (1986). His research focuses on AI applications in medical imaging, software engineering, transportation systems, and data mining. He has contributed to advancements in fundus image analysis, deep learning models for disease detection, and intelligent traffic management systems. Dr. Far has received notable awards such as the 2017 SSE Achievement Award and the AITF-AMA Tier-2 Chair in Smart Multimodal Transportation Systems (2013). His work bridges theoretical AI with practical healthcare solutions, including tools like LETTA for traffic management systems and methodologies for detecting ocular lesions using CNNs. He teaches courses on software testing, reliability engineering, and agent-based systems. His publications highlight contributions to medical diagnostics (e.g., choroidal nevi classification), transportation optimization (e.g., real-time traffic signal control), and machine learning explainability. Collaborative research includes projects on biopotentiostat biosensors for SARS-CoV-2 detection and data mining for cancer patient stratification.

Eric MörthView profile

Researcher

• Medical Visualization
• Medical Imaging
• Biomedical Engineering
• +6 more

Eric Mörth is a PhD Scientist in Multimodal Medical Visualization at the University of Bergen's Department of Informatics, collaborating with the Mohm Medical Imaging and Visualization Center (MMIV). His research focuses on innovative medical data visualization techniques, such as MuSIC and ICEVis, which enhance clinical decision-making. Currently on a research stay at Harvard University's VCG Group, he holds a Master's in Medical Informatics from the Medical University of Vienna and a degree in Biomedical Engineering from the Technical University of Vienna. His awards include the Best Paper Honorable Mention (VCBM2022) and Best Short Paper (VINCI2022). Mörth's work spans cancer imaging, scrollytelling narratives, and interactive visualization tools, supported by grants from Trond Mohn Stiftelse. He advises through Team Smit and has contributed to projects like RadEx and ParaGlyder, advancing medical data exploration and communication.

Sarah BrattView profile

Assistant Professor

• Scholarly Communication
• Research Data Management
• Science of Science
• +6 more

Sarah Bratt is an Assistant Professor at the University of Arizona College of Information Science (InfoSci), focusing on Digital Curation & Preservation. Her research explores scholarly communication, research data management, and the science of science, aiming to advance long-term data sustainability and actionable science policy. BS in Philosophy from Ithaca College MS in Library and Information Science with a Data Science certificate from Syracuse University Her work addresses practices, metrics, and infrastructures for data-intensive science, including international collaborations and AI applications in libraries. Recent projects analyze GenBank metadata, dataset co-authorship, and software use in computational biology. She has presented at ASIS&T, 4S, ICSSI, and NetSci conferences. Masters’ prize in Library & Information Science at Syracuse University 2022 Better Scientific Software (BSSw) Fellow honorable mention Bratt collaborates with institutions like UIUC, University of Tennessee, and Metadata Lab @Syracuse University. She co-supervises students with Dr. Cristian Román-Palacios and leads the Metadata Analytics Lab at UA.

• Computational Immunology
• B Cell Receptor (BCR) Repertoire Profiling
• Multi-Omics Analysis
• +5 more

Dr. Steven Kleinstein is the Anthony N. Brady Professor of Pathology at the Yale School of Medicine, with secondary appointments in Immunobiology and Biomedical Informatics. He is Co-Director of Graduate Studies in Computational Biology and Biomedical Informatics, and leads the Kleinstein Lab. His research focuses on computational immunology, integrating big data analysis with immunology to study immune responses, including B cell receptor (BCR) repertoire profiling via AIRR-seq and multi-omic studies of infection/vaccination responses. Dr. Kleinstein holds a BAS in Computer Science from the University of Pennsylvania (1994) and a PhD in Computer Science from Princeton (2002). He is a member of the Computational Biology and Bioinformatics Program and the Human and Translational Immunology Program. Education: B.A.S. in Computer Science, University of Pennsylvania, 1994 Ph.D. in Computer Science, Princeton University, 2002 Research Interests: His lab develops computational tools (e.g., Immcantation framework) for analyzing BCR repertoires and immune responses to pathogens like SARS-CoV-2, HIV, and influenza. Key projects include understanding germinal center B cell maturation, antibody specificity prediction via language models, and immune correlates of disease severity in hospitalized patients. Collaborations span clinical and basic science groups to apply these methods to autoimmune diseases, allergies, and cancer. Grants & Collaborations: Active in NIH/NIAID initiatives (e.g., HIPC, PRIME) and industry partnerships. Lab members collaborate with institutions globally on projects like the IMPACC study and malaria vaccine research. Labs/Teams: The Kleinstein Lab at Yale is part of the Center for Biomedical Data Science and the Yale Cancer Center, emphasizing computational and experimental immunology integration.

Mikkel Lønborg FriisView profile

Associate Clinical Professor

• Surgical Simulation
• Medical Education
• Ultrasound Training
• +7 more

Mikkel Lønborg Friis is a Clinical Associate Professor at Aalborg University, affiliated with the Department of Clinical Medicine under The Faculty of Medicine. He also serves as a senior consultant ( Ledende overlæge ) at Aalborg University Hospital, where he leads simulation-based training initiatives at NordSim – Centre for Skills Training and Simulation. His dual academic and clinical roles position him at the intersection of advanced surgical practice and innovative medical education. Clinical Associate Professor, Aalborg University Ledende overlæge (Chief Physician), Aalborg University Hospital Member, NordSim – Centre for Skills Training and Simulation His research interests focus on enhancing surgical and diagnostic competencies through technology-driven education. Key areas include simulation-based training, artificial intelligence in fetal and surgical ultrasound, robotic surgery assessment using deep learning, and curriculum development for cross-specialty ultrasound education. He actively contributes to improving clinical outcomes in pilonidal sinus disease and advancing AI integration in medical imaging. The recent publications highlight a strong trend toward interdisciplinary innovation, particularly in blending AI, simulation, and medical education. His work spans clinical surgery, educational methodology, and computational analysis of surgical performance. A significant portion of his research involves designing and evaluating training protocols, developing datasets for skill assessment, and exploring ethical and practical implications of AI in clinical settings. Mikkel Friis has not been publicly recognized with scientific awards in the provided text, but his leadership in simulation and curriculum design suggests significant institutional impact. He is involved in mentoring and advising through collaborative research projects, particularly in simulation and ultrasound education. While formal students are not listed, his role in study protocols and dataset creation implies supervision of junior researchers and medical trainees. He participates in funded or institutionally supported research activities related to medical education innovation and surgical technology. His involvement in press and media coverage further underscores his role as a thought leader in clinical simulation careers. Friis is deeply embedded in NordSim – Centre for Skills Training and Simulation, where he contributes to developing and implementing simulation-based assessment tools, particularly for abdominal ultrasound and surgical skills. His team collaborates across departments and institutions, focusing on creating standardized, scalable training models that integrate emerging technologies like AI and virtual reality.

• Computer Vision
• Autonomous Systems
• Robotics
• +12 more

Dr Lounis Chermak is a Lecturer in Computer Vision and Autonomous Systems at the Centre for Electronic Warfare, Information and Cyber, part of Cranfield Defence and Security at Cranfield University, UK. He leads the Joint Autonomy Lab and is actively involved in research and education in autonomous systems with applications in defence and space. Research Interests: His work focuses on situational awareness in autonomous platforms, with core expertise in computer vision, sensor fusion, artificial intelligence, robotics, and navigation. He investigates perception, decision-making, and mobility across aerial, ground, maritime, and space systems, developing robust solutions for challenging environments including low visibility and extreme illumination. The recent publications reflect a strong trend in autonomous navigation, particularly for space and defence applications, using advanced computer vision techniques such as thermal stereo odometry, HDR imaging, stixel-based scene understanding, and lightweight 3D descriptors. Research also extends to cybersecurity of autonomous systems, including impersonation attack detection and optical countermeasures. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Dr Chermak leads research activities supported by postdoctoral researchers, PhD, and MSc students. His work is funded and applied in collaboration with major clients including aerospace organizations (ESA, UK Space Agency, Thales Alenia Space), defence agencies (MoD, DSTL, BAE Systems, MBDA), and technology companies (Samsung, Astroscale). He supervises research students in robotics and autonomous systems across civilian and defence domains. Labs and Teams: He leads the Joint Autonomy Laboratory, a 200 m² indoor facility equipped with drone netting, motion capture systems, virtual reality test benches, UAV and ground robot fleets, electric vehicles, and multiple sensors for vision, ranging, and motion. This lab supports both educational and cutting-edge research in autonomous systems.

Cristian Román-PalaciosView profile

Assistant Professor

• Phylogenetics
• Biodiversity Drivers
• Paleoclimatic Reconstructions
• +7 more

Cristian Román-Palacios is an Assistant Professor in the Department of Ecology and Evolutionary Biology at the University of Arizona, where he also serves as Coordinator and Advisor for the Master of Science in Data Science (MSDS) and Master of Science in Information Systems (MSIS) programs. He is a core faculty member in Artificial Intelligence and Machine Learning, Data Management, Analysis and Visualization, and Environmental, Health and Biological Sciences. Education: PhD in Ecology and Evolutionary Biology, University of Arizona (2020) BS in Biology, Universidad del Valle, Colombia (2015) His research lies at the intersection of phylogenetics, biodiversity modeling, and machine learning, focusing on large-scale biodiversity patterns, the impacts of climate change on species survival, and the development of statistical tools for paleoclimatic reconstructions. He employs computational and data-intensive methods to explore evolutionary and ecological questions across diverse taxa. His recent publications (2024–2025) demonstrate a strong trend toward interdisciplinary research, combining computational biology, geochemistry, climate science, and open-source software development. Key themes include biodiversity informatics (e.g., Animal Culture Database), paleoclimatic modeling (e.g., clumped isotope thermometry), reproducibility in science, and tools for collaborative research (e.g., LabOps, SSARP). His work increasingly integrates data science with biological and environmental applications. Scientific Contributions: Published over 25 peer-reviewed papers, many as first author Research featured in Science News, Popular Science, CNN, USA Today Developed open-source tools: phruta , treedata.table , SSARP , LabOps Cristian advises graduate students through the infosci-msadvise@arizona.edu email and Calendly appointments. He was previously a staff researcher at UCLA’s Tripati Lab. He leads initiatives such as the Southwest Center on Resilience for Climate Change and Health and promotes inclusive, collaborative science through online toolkits and leadership ecosystems aimed at addressing climate and social inequities. His lab, the Román-Palacios Lab, and involvement with the Data Diversity Lab reflect his commitment to open, reproducible, and equitable research practices in data-intensive biology.

• Health Care Management
• Operations Research
• Patient Scheduling
• +5 more

Professor Patrick Jonathan is a Full Professor at the Telfer School of Management, University of Ottawa. His research focuses on applying operations research methods to healthcare management challenges, particularly in patient scheduling, capacity planning, and disaster response logistics. He holds a B.A.Sc. from McMaster University, M.Sc. and Ph.D. from the University of British Columbia (UBC). Key research areas include healthcare system efficiency, stochastic optimization, approximate dynamic programming, and resource allocation in emergency and long-term care settings. He has contributed to projects like optimizing inpatient unit staffing during pandemics and developing robust logistics models for disaster relief operations. Education: B.A.Sc. (McMaster), M.Sc. (UBC), Ph.D. (UBC) Affiliations: INFORMS, CORS, Centre for Health Care Management (UBC) Recent work emphasizes pandemic-related healthcare operations, including staff scheduling under crisis conditions and elective patient admission strategies during the COVID-19 pandemic. His research also addresses dynamic home care routing and multi-priority patient scheduling policies. He has secured over $2.3 million in research funding through grants from NSERC, MITACS, and the National Research Council. Notable projects include the 'Resilience and Adaptation to Climatic Extreme (RACE) Wildfires' initiative and 'Stochasticity in Approximate Dynamic Programming.' Labs/Teams: Collaborates with interdisciplinary teams on healthcare logistics and emergency department optimization projects.

Dipu PatelView profile

Professor

• Digital Health
• Healthcare Innovation
• Telemedicine
• +7 more

Dipu Patel is a Professor and Vice Chair for Innovation in the Department of Physician Assistant Studies at the School of Health and Rehabilitation Sciences, University of Pittsburgh. She holds a Doctor of Medical Science from the University of Lynchburg and a Master of Physician Assistant Studies from the University of Nebraska Medical Center. Her work bridges clinical expertise and digital innovation in healthcare education and delivery. Education: Doctor of Medical Science, University of Lynchburg Master of Physician Assistant Studies, University of Nebraska Medical Center Her research interests focus on digital health, healthcare innovation, and technology integration in clinical education. She emphasizes patient-centered, provider-driven solutions that combine technological advancement with human-centered care. Patel is passionate about workforce development and preparing future healthcare leaders for evolving digital landscapes. Her publications highlight emerging trends in telemedicine and artificial intelligence in healthcare, particularly exploring how tools like GPT can transform clinical workflows and education. These works reflect a strong commitment to innovation while preserving the human touch in medicine. Scientific Awards: Innovation in Education Award, Advisory Council on Instructional Excellence, Office of the Provost, University of Pittsburgh Patel has held significant leadership roles in professional organizations, including President-Elect of the Physician Assistant Education Association and Chair of the Massachusetts Board of Registration for Physician Assistants. She serves on the Governor’s Advisory Council for Foreign-Born Healthcare Professionals, contributing to policy and workforce inclusion. Though no formal advisees are listed, her educational leadership and curriculum development impact numerous students and practitioners. She previously led clinical pathways at a healthcare technology startup, ensuring global clinical content was both evidence-based and patient-centered. She is instrumental in developing the DMSc program at the University of Pittsburgh, a forward-looking initiative designed to cultivate advanced physician assistant leaders. Her work continues to expand the role of PAs in digital health innovation and interdisciplinary collaboration.

• Geriatrics
• Patient Priorities Care
• Multiple Chronic Conditions
• +5 more

Jennifer Ouellet, MD is an Associate Professor of Medicine in the Department of Internal Medicine at Yale School of Medicine, specializing in Geriatrics. She serves as Co-Director of Internal Medicine Resident Education in Geriatric Medicine and Director of Interprofessional Education in Geriatric Medicine, and is affiliated with the Dorothy Adler Geriatric Assessment Center and Yale Medicine. Education: MHPE, University of Michigan (2019) Geriatric Medicine Fellow, Yale University School of Medicine (2017) Resident, Yale New Haven Hospital (2016) MD, University of Rochester (2015) BSc in Neuroscience, Brown University (2007) Dr. Ouellet is a dedicated geriatrician focused on optimizing care for older adults with multiple chronic conditions. Her research and clinical work emphasize patient priorities-aligned decision-making, aiming to align medical care with individual patient goals. She is passionate about medical education, teaching core geriatric principles to trainees and studying the impact of educational interventions. Her work bridges clinical practice, education, and research to improve outcomes for aging populations. Her recent publications highlight trends in geriatric care, patient priorities decision-making, and innovations in geriatric emergency and interprofessional care. These works reflect a strong thematic focus on person-centered care models, chronic disease management, and educational strategies in geriatrics. Scientific Awards: Edwin Cadman Teacher of the Year Award for Non-Core Faculty (Yale School of Medicine, 2020) UCSF Tideswell Emerging Leaders in Aging (2019) Frederick R. Shell Award (Yale School of Medicine, 2015) Frederick L. Sachs Award (Yale School of Medicine, 2015) UCSF Bechtel Summit Award in Geriatric Medicine (2014) Dr. Ouellet is actively involved in mentoring and educational leadership. She contributes to the training of medical residents and interprofessional teams, and her research is conducted in collaboration with prominent figures such as Dr. Mary Tinetti. She has no known grants listed, but her activities include ongoing research in patient-centered care models and educational innovation in geriatrics. Labs and Teams: Dorothy Adler Geriatric Assessment Center Geriatric Medicine, Department of Internal Medicine Patient Priorities Care initiative at Yale Collaborative research team with Mary Tinetti, Alexandra Hajduk, Cameron Gettel, and others

Lena MamykinaView profile

Associate Professor

• Biomedical Informatics
• Human-Computer Interaction
• Ubiquitous and Pervasive Computing
• +5 more

Lena Mamykina is an Associate Professor of Biomedical Informatics at Columbia University's Vagelos College of Physicians and Surgeons. As a member of the Data, Media and Society Committee and Health Analytics Co-Chair, she develops technologies to empower individuals and communities in health management. Georgia Institute of Technology: M.S. and Ph.D. in Human-Computer Interaction and Human-Centered Computing Columbia University: M.A. in Biomedical Informatics Ukrainian State University of Maritime Technology: B.S. in Computer Science Her research in the Action Research for Collective Health (ARCH) group focuses on: Biomedical Informatics and Human-Computer Interaction Ubiquitous/Pervasive Computing for health monitoring Computer-Supported Collaborative Work in clinical teams Personalized health coaching systems using AI Recent publications highlight trends in: AI-driven diabetes management and glucose forecasting Context-aware mobile health applications Conversational agents for behavioral interventions Data assimilation techniques with sparse patient data Equity-focused health informatics design Human-AI collaboration in clinical settings

• Renaissance literature and culture
• Textual editing
• Book history/bibliography
• +5 more

Sarah Neville is an Associate Professor jointly appointed in English and Theatre, Film, and Media Arts at The Ohio State University. Her expertise spans Renaissance literature, textual editing, book history, and Shakespearean performance studies, with a focus on how media technologies shape knowledge production and authority. Associate Editor, New Oxford Shakespeare (2016-17) Associate Coordinating Editor, Digital Renaissance Editions General Textual Editor, Linked Early Modern Drama Online Founder, Lord Denney’s Players academic theatre company Her 2022 monograph Early Modern Herbals and the Book Trade redefines scientific authority through printers' economic practices. She currently edits 2 Henry VI for the Arden Shakespeare. Recent publications demonstrate her interdisciplinary approach: 2023: Digital tool development (Database of Early English Playbooks) 2021: Textual theory in transatlantic context 2020: Digital performance adaptation and women's printing practices 2019: Digital commentary evolution Scientific awards include: 2020 Paul W. Brown Excellence in Teaching Award 2018 Columbus City Council commendation for innovative theater Her work intersects textual scholarship with material culture studies, particularly examining print capitalism's role in shaping scientific discourse during the Renaissance.

Anthony BurkeView profile

Professor

• Architectural Design
• Contemporary Design Theory
• Urban Technologies
• +6 more

Professor Anthony Burke is a Professor of Architecture in the Faculty of Design Architecture and Building at the University of Technology Sydney (UTS), where he currently serves as Course Director for the Master of Architecture program. Previously, he held significant leadership roles including Associate Dean of International and Engagement (2017-2019) and Head of the School of Architecture (2010-2016). Internationally recognized for his work in architectural design, curation and commentary, Burke specializes in contemporary design theory at the intersection of technology, urbanism and practice, with a particular focus on ethical considerations in smart city development. Burke holds an M.Sc. in Advanced Architectural Design from Columbia University (2000) and a B.Architecture (First Class Honors) from UNSW Australia (1995). Prior to his current position at UTS, he was an Assistant Professor in Architecture at the University of California, Berkeley between 2002 and 2007. He has also served as a Visiting Professor at the Beijing Institute of Technology (2018-2020) and Institut Teknologi Bandung (2018-2019). Professor Burke's research explores the complex relationship between architecture, technology, and urban environments, with particular emphasis on how design can address societal challenges while maintaining human-centered values. His work spans architectural theory, urban technologies, and innovative practice models, often bridging academic scholarship with practical applications through numerous funded research projects and industry collaborations. He has published extensively on topics including the ethics of smart cities, architectural restoration, and the evolving role of architects in contemporary society. His recent publications reveal a consistent exploration of architecture's role in contemporary society, with recurring themes including the intersection of technology and design, ethical considerations in urban development, and innovative approaches to architectural practice. This body of work demonstrates both theoretical depth and practical relevance, connecting academic discourse with real-world applications. 2024 ACTAA Award for Lifestyle Category - Grand Designs Australia Season 11 2024 Honorary Fellow Beyond traditional academic work, Burke actively supervises PhD students and has secured significant research funding from organizations including Cumberland Council, IKEA, and the NSW Office of the Government Architect. His projects frequently involve interdisciplinary collaboration, bringing together architects, urban planners, technologists, and policymakers to address complex urban challenges. He has also founded initiatives like Open Agenda, an annual speculative design research competition for emerging Australian architects. Professor Burke extends his impact through media engagements, serving as host and presenter for popular television programs including Grand Designs Australia (Seasons 4-11), Restoration Australia (Seasons 4-7), and Culture X Design. These platforms allow him to communicate architectural concepts to broad audiences, with Grand Designs Australia reaching approximately 1 million viewers per episode in Australia and more internationally. His public outreach includes regular contributions to The Conversation, ABC News, and other media outlets, making architecture and design accessible to the general public while showcasing innovative Australian architecture.