Find Academic Supervisors

• Health Informatics
• Wearable Technology
• Machine Learning in Healthcare
• +3 more

Dr. Iman Azimi is a Postdoctoral Scholar at the Donald Bren School of Information & Computer Sciences, University of California, Irvine. Their work focuses on advancing healthcare through wearable technology, machine learning, and IoT systems. Key areas include maternal health monitoring, physiological signal analysis, and AI-driven health solutions. Research interests span health informatics, biomedical signal processing, and personalized medicine. Notable projects include long-term maternal monitoring using IoT devices and LLM-powered agents for physiological data analysis. Azimi also explores causal ML approaches to understand health impacts of lifestyle factors during pregnancy. Recent work demonstrates contributions in smartwatch-based vital sign estimation, explainable AI for wearable data, and privacy-preserving mental health monitoring systems. Their research bridges computational methods with clinical applications, aiming to improve patient outcomes through innovative technology integration. Key platforms developed include ZotCare and PHAS, showcasing edge-assisted healthcare systems and open-source analytics stacks. Current efforts emphasize leveraging large language models and transformers for healthcare insights while addressing ethical AI challenges in medical chatbots.

Judith DanielsView profile

Professor

• Clinical Psychology
• Neuroscience
• Posttraumatic Stress Disorder (PTSD)
• +5 more

Prof. Judith Daniels is a Professor of Clinical Psychology and Rosalind-Franklin Fellow at the University of Groningen's Faculty of Behavioural and Social Sciences, leading the Clinical Psychology & Experimental Psychopathology Department. She holds adjunct roles at Psychologische Hochschule Berlin and directs the Fortbildungsinstitut für Sekundärtraumatisierung. Her research focuses on trauma-related disorders, dissociation mechanisms, neuroimaging, and secondary traumatization among therapists. Education: PhD in Psychology (University of Bielefeld, 2006), postdoctoral training at Hamburg’s University Hospital Eppendorf, Western University (Canada), and Charité Berlin. Current roles: Associate Editor of Journal of Trauma and Dissociation , Task Force Chair for Revictimization (DeGPT), and program committee member for Research Master’s programs. Research interests include PTSD neurobiology, dissociative disorders, and the psychophysiological underpinnings of trauma responses. She has published over 94 peer-reviewed articles and leads projects on ecological momentary assessment, neuroimaging mega-analyses (via ENIGMA consortia), and validation of trauma assessment tools. Notable awards include the Forschungsförderpreis der Elfriede Dietrich Stiftung and a psychotrauma care grant. She supervises PhD candidates O.F. de Haart and Nicolás García Mejía. Teaching responsibilities span clinical diagnosis, victimology, and therapeutic skills.

Mark CaulfieldView profile

Professor

• Genomics
• Hypertension Research
• Cardiovascular Health
• +3 more

Professor Mark Caulfield is a Professor of Clinical Pharmacology and Vice Principal for Health at Queen Mary University of London’s Faculty of Medicine and Dentistry. He leads the Clinical Pharmacology and Precision Medicine Centre. His academic roles include membership on the Barts Health NHS Trust Board, Barking, Havering and Redbridge University Hospitals NHS Trust Board, and MedCity Board. He is also President Elect of the British Pharmacological Society. Education: Graduated in Medicine from the London Hospital Medical College (1984), trained in Clinical Pharmacology at St Bartholomew’s Hospital. His research focuses on molecular genetics of hypertension, cardiovascular health, cancer, and rare diseases. Notable contributions include discovering genes influencing blood pressure and shaping international hypertension guidelines. Research Interests: Molecular genetics of hypertension, translational clinical research, precision medicine, and genomic sequencing initiatives. He pioneered the 100,000 Genomes Project, which revolutionized genomic testing access for NHS patients, leading to his knighthood in 2019. His work emphasizes equitable genomic healthcare access through projects like the National Genomic Test Directory. Awards: Lily Prize (British Pharmacology Society), Bjorn Folkow Award (European Society of Hypertension), Franz Volhard Award (International Society of Hypertension). His leadership in genomics has transformed clinical practice and healthcare policy. Advisory & Grants: Directed the NIHR Barts Biomedical Research Centre, led the Genomics England initiative, and collaborated with NHS England. Sponsors include the British Heart Foundation and National Institute for Health and Care Research. His lab teams include experts in cardiovascular genomics and clinical trials. Labs/Teams: William Harvey Clinical Research Centre (led by Dr. David Collier), Cardiovascular Genetics and Genomics team (includes Dr. Helen Warren and Dr. Claudia Cabrera), and NIHR Barts Biomedical Research Centre Director’s Office.

Martin MacInnisView profile

Associate Professor

• Exercise Physiology
• Molecular Exercise Physiology
• Muscle Physiology
• +4 more

Dr. Martin MacInnis is an Associate Professor in the Faculty of Kinesiology at the University of Calgary, leading the Molecular, Environmental, and Exercise Physiology (MEEP) Lab. He holds a PhD from the University of British Columbia (2014) and a B.Sc. in Biology from Cape Breton University (2009). His research focuses on understanding how physiological systems adapt to acute and chronic exercise stimuli, particularly mechanisms regulating skeletal muscle mitochondria density, red blood cell volume, and responses to hypoxia, biological sex, and carbohydrate availability. Education: PhD in Kinesiology, University of British Columbia (2014); B.Sc. in Biology, Cape Breton University (2009) Research Highlights: Mechanisms of skeletal muscle mitochondrial density regulation Impact of hypoxia on exercise responses Role of biological sex in exercise adaptation Applications of wearable technology in exercise physiology Awards: 2018: The 2017 Journal of Physiology Early Investigator Runner-up Prize 2016: American College of Sports Medicine Jack Wilmore Legacy Travel Award 2016: NSERC Postdoctoral Fellowship His work integrates molecular, environmental, and exercise physiology to advance understanding of exercise tolerance and fatigue. Current projects explore the physiological determinants of exercise capacity, neuromuscular fatigue, and novel methods for assessing training adaptations using wearable technology. Courses taught include advanced exercise physiology and integrative physiology seminars. Collaborations focus on interdisciplinary research, with funding from NSERC, Mitacs, and other agencies. The MEEP Lab emphasizes translational research to inform training strategies and clinical applications in sports science and health.

Christina BrockView profile

Professor

• Autonomic Nervous System
• Diabetic Neuropathy
• Gastroenterology
• +4 more

Christina Brock is a Professor at Aalborg University and Aalborg University Hospital, affiliated with The Faculty of Medicine's Department of Gastroenterology and Hepatology. She bridges clinical, academic, and life-science environments through her veterinary surgeon background and PhD in human biology. Her research focuses on the autonomic nervous system at the intersection of neurophysiology, diabetes, and gastroenterology. She established a state-of-the-art autonomic laboratory for mechanistic studies and clinical trials. Her work includes vagal nerve stimulation, GLP-1, and diabetic microvascular complications, particularly with finerenon's anti-fibrotic potential. She teaches medical students at Bachelor's and Master's levels, supervising 18 PhD and 19 Master's students. Her leadership roles include securing €3.7 million in funding, serving on NEUROdiab's executive board, and advising Harvard Medical School's Office of Global Education. Recent publications highlight her expertise in diabetic gastroenteropathy , autonomic neuropathy , and vagus nerve stimulation , with clinical trials published in Diabetes Research and Clinical Practice , Diabetologia , and Diabetes Technology & Therapeutics .

Gilles AlbeainoView profile

Assistant Professor

• Construction Safety
• Construction Education
• Robotics
• +3 more

Gilles Albeaino is an Assistant Professor in the Department of Construction Science at Texas A&M University's College of Architecture. His research focuses on construction safety, education innovation, and human-technology interaction, particularly involving robotics and drones. He leads the Construction Automation, Safety, and Education (CASE) Lab, which investigates theoretical and experimental aspects of human-technology collaboration in construction. Albeaino holds a Ph.D. in Design, Construction, and Planning from the University of Florida, an M.Sc. in Construction Management from the same institution, and a B.E. in Civil and Environmental Engineering from Notre Dame University. His research interests include developing VR-based safety training environments, drone-mediated construction applications, and integrating emerging technologies into construction education. CASE Lab has received grants from the College of Architecture and the Construction Industry Advisory Council for projects like AI-powered Mixed Reality education and human-drone collaboration studies. Albeaino advises Ph.D. student Didong Xu, who recently passed their qualifying exam and received the Elizabeth '02 and Christopher Miller Endowed Scholarship. The lab's recent projects include seed grants for Mixed Reality education tools and collaborations with the University of Florida on human-drone interaction under fatigue conditions. CASE Lab's activities span 15+ peer-reviewed publications since 2021, with a focus on drone safety, human-robot interaction, and educational technology innovations. The lab also participates in national conferences like the ASC International Conference and i3CE, presenting work on construction safety and education advancements.

• Public Health
• Nursing
• Health Communication
• +4 more

Sunny Kim is an Associate Professor at the Edson College of Nursing and Health Innovation, Arizona State University. Her research focuses on innovative health communication strategies to address health disparities, with a particular emphasis on digital storytelling interventions for underserved populations. She explores topics such as vaccine hesitancy, cancer care, and psychosocial support for patients and caregivers. Key research areas include: Development of culturally tailored digital interventions targeting HPV vaccination, cancer prevention, and chronic disease management Evaluation of mind-body practices (e.g., Tai Chi, biofeedback) for cardiometabolic and psycho-emotional health Qualitative studies on patient-caregiver dynamics in hematopoietic cell transplantation Her work bridges nursing, public health, and behavioral medicine, emphasizing community engagement with vulnerable groups such as Asian immigrants, Hispanic families, and Black adults. Recent studies highlight interventions to improve health literacy and reduce disparities in vaccination rates and cancer outcomes. Notable contributions include: Pilot testing digital storytelling to influence HPV vaccination decisions among college men and minority populations Exploring the feasibility of group-based workshops for HCT patient-caregiver dyads Systematic reviews on mind-body therapies and their physiological impacts No scientific awards are explicitly listed in the provided materials. Her research has been applied in clinical and community settings to improve health advocacy and patient-centered care strategies.

Irēna KurcalteView profile

Assistant Clinical Professor

• Cardiology
• Clinical Medicine
• Atrial Fibrillation
• +4 more

Irēna Kurcalte serves as an Acting Assistant in the Department of Internal Diseases, specializing in clinical cardiology with contributions to UN Sustainable Development Goal 3 (Good Health and Well-being). Her research spans cardiovascular disease mechanisms, diagnostics, and therapeutic interventions within academic medical settings. Her primary research interests include atrial fibrillation risk stratification using Holter monitoring, myocardial infarction subtypes (particularly right ventricular involvement), coronary artery disease interventions, and pulmonary embolism outcomes. She integrates clinical cardiology with biostatistical methods, notably applying R programming for medical data analysis and real-world evidence generation in heart failure management. Recent publications (2019-2021) demonstrate a consistent focus on arrhythmia diagnostics, acute coronary syndromes, and cardiovascular risk assessment. Key trends include technological integration (e.g., AFibDI index development), real-world clinical data application, and cross-disciplinary approaches combining electrophysiology with statistical modeling. Her work predominantly appears as conference abstracts indicating active engagement in scientific discourse. Dr. Kurcalte actively disseminates findings through conference presentations, including an oral presentation on the AFibDI index at a March 2021 conference, reflecting ongoing scholarly contribution to cardiology research communities.

• Mental Health Treatment
• Health Communication
• Trauma and PTSD
• +3 more

Hans M. Nordahl is a Professor of Medicine (Medical Behavioral Sciences) at the Norwegian University of Science and Technology (NTNU), employed at the Department of Mental Health, Unit for Adult Psychiatry and Substance Abuse. He is affiliated with Østmarka Hospital at St. Olav's Hospital and maintains an office at the MTFS building on the Øya campus. His research focuses on mental health treatment, health communication, trauma/PTSD, personality disorders, anxiety disorders, and the impact of adverse childhood experiences. His work spans clinical trials (e.g., metacognitive therapy for anorexia nervosa, PTSD, and generalized anxiety disorder), epidemiological studies (e.g., Young-HUNT3 cohort analysis of social anxiety and adverse childhood experiences), and translational research integrating neurobiological markers (e.g., hippocampal volume, executive function) with mental health outcomes. He has co-authored over 50 peer-reviewed articles since 2012, emphasizing metacognitive models of anxiety and depression, treatment efficacy comparisons, and population health trends. His recent studies explore the role of metacognitive beliefs in interpersonal functioning, the feasibility of exercise-augmented cognitive therapy for older adults, and longitudinal links between childhood trauma and adult mental health. He collaborates with institutions like St. Olav's Hospital, the HUNT Study cohort, and international researchers in cognitive therapy development.

Khong Wei LeongView profile

Lecturer

• Biomedical Engineering
• Image and Signal Processing
• Artificial Intelligence
• +3 more

Dr. Khong Wei Leong is a Lecturer in the Department of Common Engineering at the Malaysia School of Engineering, Monash University Malaysia. He is a registered graduate engineer with the Board of Engineers Malaysia (BEM) and actively involved in research on biomedical imaging, image/video processing, smart healthcare, and non-contact vital signs measurement. His current work focuses on developing non-contact methods for measuring human vital signs, such as heart rate and blood pressure using video imaging and LabVIEW-based tools. Dr. Khong holds a PhD in Electrical & Electronics Engineering (2018), MEng in Modelling and Estimation of Vehicle Tracking (2013), and BEng (Hons) in Computer Engineering (2009), all from Universiti Malaysia Sabah. He coordinates the unit ENG1013: Engineering Smart Systems and serves as a reviewer for the Elsevier journal Biomedical Signal Processing & Control . His research interests span biomedical engineering, artificial intelligence, and telehealth solutions. Notable projects include the 'Catch me before I fail' initiative to improve student academic performance and a LabVIEW-based biomedical toolkit for ECG analysis. His work aligns with UN Sustainable Development Goals, particularly in advancing education and health technologies. Key collaborations include work on robot vision systems, vehicle tracking algorithms, and mobile health applications. Dr. Khong has contributed to over 26 peer-reviewed publications and actively participates in international conferences.

• Pancreatic Cancer
• Surgical Oncology
• DNA-damage Response
• +5 more

Professor David Chang is a Professor of Surgical Oncology at the University of Glasgow, specializing in the treatment of malignant pancreatic diseases. Based at the Wolfson Wohl Cancer Research Centre, he serves as an Honorary Consultant Pancreatic Surgeon at Glasgow Royal Infirmary as part of the West of Scotland Pancreatic Unit, a tertiary pancreatic referral center. Chang co-leads Precision-Panc, a pan-UK initiative for personalized cancer care for pancreatic cancer, and is actively involved in major international cancer research initiatives including Precision Promise (Pancreatic Cancer Action Network USA) and ICGC ARGO. PhD in Australia Pancreatic surgical fellowship in Australia Post-doctoral training in Australia Recruited to University of Glasgow in 2013 David Chang's primary research focus centers on developing and implementing novel therapeutic strategies for pancreatic cancer, particularly around DNA-damage response deficiency. His work utilizes molecular biomarkers for prognosis and therapeutic responsiveness, with the goal of bridging the gap between bench research and clinical application. Chang is a leading figure in precision medicine approaches for pancreatic cancer treatment, dedicated to shortening the distance between laboratory discoveries and clinical implementation to ensure meaningful and seamless translation between research and patient care. Chang's recent publications demonstrate a sophisticated integration of molecular biology, genomics, and clinical oncology. His work spans from basic molecular research on DNA damage response mechanisms to large-scale clinical trials through Precision-Panc. Key themes include molecular subtyping of pancreatic cancer, therapeutic resistance mechanisms, novel biomarker discovery, and personalized treatment strategies. The research shows increasing sophistication in combining genomic data with clinical parameters to inform treatment decisions, reflecting the evolution of precision oncology in pancreatic cancer management. As chief investigator of the Precision-Panc Master Protocol and related clinical trials, Chang leads significant research initiatives with substantial grant funding. His work involves extensive collaboration across the UK and internationally, particularly with the Australian Pancreatic Cancer Genome Initiative. Chang's research program represents a comprehensive approach to pancreatic cancer that integrates basic science, translational research, and clinical implementation. Based at the Wolfson Wohl Cancer Research Centre at the University of Glasgow, Chang works within a multidisciplinary environment that includes the West of Scotland Pancreatic Unit. His research group collaborates extensively with international teams focused on pancreatic cancer genomics and precision medicine, contributing to major global initiatives that aim to transform pancreatic cancer care through molecular understanding and personalized treatment approaches.

Anna MaltsevView profile

Senior Lecturer

• Probability
• Mathematical Physics
• Quantitative Biology
• +6 more

Dr. Anna Maltsev serves as a Senior Lecturer in Applied Probability and Royal Society University Research Fellow at Queen Mary University of London's School of Mathematical Sciences. She joined Queen Mary in August 2017 after holding positions at Bristol University (2013-2017) and the University of Bonn (2010-2012). Dr. Maltsev earned her Ph.D. from the California Institute of Technology in 2010 under Barry Simon's supervision. Her research spans probability, mathematical physics, quantitative biology, and analysis with specific focus on random matrix theory, calcium signaling in cardiac cells, spectral theory, and quantum graphs. Her doctoral work examined spectral theory of Schrödinger operators on the half-line. Her interdisciplinary publications reveal consistent application of advanced mathematical techniques to cardiac physiology, particularly in understanding calcium signaling mechanisms in pacemaker cells. Dr. Maltsev's work demonstrates how mathematical principles like phase transitions and random matrix theory govern fundamental biological processes in the heart. Her significant research funding includes: Royal Society University Research Fellowship renewal (2023-2026): £370,397 Royal Society Enhanced Research Expenses (2023-2026): £246,000 Royal Society University Research Fellowship (2017-2023): £475,484 Leverhulme Early Career Fellowship (2013-2017) Dr. Maltsev supervises PhD students including Olivia Auster (researching eigenvalue distributions of random matrices) and collaborates with Dr. Mohammed Osman. Her work is conducted within Queen Mary's Centre for Complex Systems, where she bridges mathematical theory with biological applications to advance understanding of cardiac function.

Petar MilinView profile

Professor

• Psychology of Language
• Language Learning
• Natural Communication
• +4 more

Professor Petar Milin holds a position as Professor of Psychology of Language and Language Learning at the University of Birmingham's Department of Modern Languages. He earned a BA and MA in Psychology from the University of Novi Sad (Serbia), followed by a PhD in experimental and computational psychology from the University of Belgrade. His career includes roles as Assistant Professor (1990s–2016), Associate Professor (2009–2016), Senior Researcher at Eberhard Karls University in Tübingen (2013–2016), and Senior Lecturer positions at the University of Sheffield and Birmingham. He co-founded Novi Sad's Laboratory for Experimental Psychology (2009–2015) and contributed to EU-funded curricula development projects. His research focuses on the role of learning in language behavior, combining experimental and computational methods with statistical analysis. Primary interests include language communication dynamics, probabilistic phenomena in language (stylometry, text quantification), and cognitive systems integration. He leads the Out Of Our Minds project (Leverhulme Trust-funded), exploring language learning optimization. Notable grants include €180k and €703k EU TEMPUS grants for curricula development. Professor Milin has authored/co-authored influential papers in journals like Journal of Experimental Psychology and Cognitive Science , and holds editorial roles at Cognitive Linguistics and Entropy . He is a Turing Fellow and Research Ambassador for Eberhard Karls University. Current advisees include students researching L2 aspectual usage, eye-tracking in bilingualism, and technology-enhanced language learning. Teaching specialties include Statistics, Research Methods, Psycholinguistics, and Learning Theory. His work bridges cognitive science and computational linguistics, emphasizing interdisciplinary approaches to language understanding and acquisition.

J. (Hans) OrmelView profile

Professor

• Social Psychiatry
• Psychiatric Epidemiology
• Mental Health Treatment
• +3 more

Prof. J. (Hans) Ormel is a Professor of Social Psychiatry and Psychiatric Epidemiology at the University of Groningen's Faculty of Medical Sciences. His research focuses on mental health epidemiology, psychopathology trajectories, and healthcare utilization patterns. He has contributed to understanding the stability of psychopathology across adolescence and young adulthood, and the societal factors influencing mental health outcomes. Key research interests include the interplay between social determinants and psychiatric disorders, longitudinal study designs, and preventive mental health strategies. Prof. Ormel has published extensively on topics such as treatment efficacy for anxiety and depression, genetic influences on mental health, and policy frameworks for effective mental disorder prevention. His work integrates statistical methodologies with clinical insights, as seen in his development of the normal-probit-binomial model for questionnaire analysis. Collaborations span interdisciplinary teams addressing cardiovascular disease genetics and risk factors for schizophrenia.

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +5 more

Professor José Manuel Lanza Gutiérrez is affiliated with the Department of Computer Science at the University of Alcalá. He leads research in artificial intelligence, machine learning, and optimization algorithms, focusing on applications in wireless sensor networks, edge computing, and affective computing. He is part of the INTELIA (Interaction Technologies and Artificial Intelligence Lab), TIFyC (Information Technologies for Training and Knowledge), and PMI (Intelligent Mobile Platforms) research groups. He earned his PhD from the University of Extremadura in 2015, with a thesis on multiobjective metaheuristics for wireless sensor network optimization, supervised by Dr. Juan Antonio Gómez Pulido. His research interests span emotion recognition, IoT security, and optimization techniques for cryptography and sensor networks. Recent work includes the WEMAC dataset for emotion recognition, the Bindi wearable system to combat gender-based violence, and edge computing for healthcare monitoring. Publications highlight trends in multimodal affective computing, metaheuristic-based cryptographic solutions, and IoT-driven healthcare systems. His work bridges theoretical optimization with practical applications in safety, healthcare, and social justice. Lanza Gutiérrez has contributed to multiple collaborative projects and integrates machine learning with embedded systems for real-world impact. His labs and teams focus on interdisciplinary solutions for smart technologies and societal challenges.