Find Academic Supervisors

• Clinical Pharmacology
• Intravenous Anesthetics
• Pharmacokinetics
• +4 more

Talmage D. Egan, MD, is Professor and Chair of the Department of Anesthesiology at the University of Utah School of Medicine, with a joint appointment as Adjunct Professor of Neurosurgery. He directs clinical practice in neuroanesthesia and obstetric anesthesia at the University of Utah Health Sciences Center. Previously, he served as Chief of Neuroanesthesia and President of the Medical Staff. Education : B.A. in Humanities (Magna Cum Laude) from Brigham Young University M.D. from the University of Utah School of Medicine (AΩA honor society) Residency in Surgery and Anesthesiology at the University of Utah and Stanford University Fellowship in Clinical Pharmacology at Stanford Physician Executive Training at Harvard School of Public Health Research Focus : Dr. Egan pioneers studies in intravenous anesthetic pharmacology, including pharmacokinetic-pharmacodynamic modeling of sedatives/analgesics, novel drug delivery systems, and optimization of total intravenous anesthesia (TIVA). His work on remifentanil-propofol interactions and propofol formulations has influenced global anesthesia protocols. He holds patents for drug delivery technologies and founded the Safe Sedation Training platform. Publications : His 200+ articles emphasize anesthetic pharmacology, drug interactions, and monitoring technologies. Recent works explore opioid alternatives, respiratory monitoring algorithms, and obesity-adjusted pharmacokinetic models, reflecting a consistent focus on precision anesthesia and patient safety. Awards : Inaugural Teaching Recognition Award (International Anesthesia Research Society) K.C. Wong Presidential Endowed Chair in Anesthesiology Leadership : Past President of the International Society for Anaesthetic Pharmacology; Associate Editor for British Journal of Anaesthesia and Anesthesiology ; authored the textbook Pharmacology and Physiology for Anesthesia (Elsevier). Mentored 20+ trainees who became independent investigators.

Murray J. CôtéView profile

Associate Professor

• Healthcare Operations Management
• Health Services Delivery
• Predictive Analytics
• +5 more

Murray J. Côté is an Associate Professor and PhD Program Director in the Department of Health Policy & Management at Texas A&M University Health Science Center . His work bridges quantitative methods with healthcare delivery challenges, particularly in rural settings. Education: BA in Political Science, MBA, PhD in Management Science Research Focus: Operational analysis, drone-aided healthcare, project management in rural hospitals Contact: mjcote@tamu.edu Dr. Côté specializes in healthcare operations management , examining systems for rural health service delivery , telehealth , and predictive analytics . His studies address information asymmetry in doctor-patient encounters and resource allocation in emergency services. His publications span journals like Decision Sciences and Health Care Management Science , with awards from the Decision Sciences Institute and Healthcare Financial Management Association . Recent work explores drone logistics for chronic disease management and cost-effectiveness analysis of diabetes prevention programs. Scientific Awards Decision Sciences Institute Research Awards Healthcare Financial Management Association Awards

Lauren SullivanView profile

Assistant Professor

• Plant Ecology
• Community Ecology
• Movement Ecology
• +5 more

Lauren Sullivan is an Assistant Professor at Michigan State University’s Kellogg Biological Station, Department of Plant Biology, and Ecology, Evolution & Behavior Program. She earned her Ph.D. from Iowa State University and specializes in plant population/community ecology, movement ecology, species invasions, and conservation/restoration ecology. Her research combines field experiments and theoretical models to understand how global change drivers (habitat fragmentation, nutrient loading, herbivore shifts) affect plant dispersal and ecosystem outcomes. Her lab focuses on the interplay between seed dispersal, nutrient enrichment, and herbivory in shaping grassland biodiversity. Recent work explores wind seed dispersal mechanics, fire impacts on Ozark woodlands, and climate-dispersal interactions in Geum triflorum . Her team emphasizes inclusivity, antiracist practices, and mental health support for lab members. Lauren’s publications (2025–2018) span seed bank limitations in prairie restoration, soil microbial responses to nitrogen, forb diversity conservation, and modeling frameworks for dispersal and productivity. Key themes include global change impacts, ecological modeling, and sustainable restoration strategies. She has mentored students like Laís, Ale, and Kate, while advocating for equity in STEM through lab initiatives. Scientific contributions include advancements in understanding biodiversity-productivity relationships, herbivore-assisted reinvasions, and ethical specimen collection. Her work often bridges theoretical and applied ecology, with applications in conservation policy and ecosystem management. Lab updates highlight her mentorship of graduate students and ongoing efforts to foster diversity in plant ecology, aligning with her commitment to creating inclusive scientific environments.

Vibe Maria Laden NielsenView profile

Researcher

• Pediatrics
• Emergency Medicine
• Triage Systems
• +5 more

Vibe Maria Laden Nielsen is an M.D. and Senior Researcher at Aalborg University Hospital, affiliated with the Faculty of Health Sciences at Aalborg University. She works at the Danish Centre for Health Service Research within the Acute and Trauma Center, focusing on emergency medical services and pediatric care. Her research interests center around pediatric emergency medicine, with specific expertise in triage systems, cohort analysis of emergency care outcomes, vital sign monitoring, and prehospital care. Dr. Nielsen's work examines critical interventions, mortality patterns, pain management protocols for children, and innovative approaches to emergency medical services delivery. Her publication record shows consistent research activity from 2016 through 2025, with particular focus on pediatric emergency care systems, mobile emergency units, and pandemic response protocols. Recent publications demonstrate her leadership in register-based studies analyzing emergency medical interventions and outcomes. Dr. Nielsen actively collaborates on international research projects, as evidenced by her participation in multi-country studies examining patient priorities in acute care settings.

Thuan Yew Edward ChuahView profile

Lecturer

• Large-scale systems dependability
• Network security
• HPC reliability
• +11 more

Dr. Thuan Yew Edward Chuah is a Lecturer in the Computing Science Department within the School of Natural and Computing Sciences at the University of Aberdeen. He received his PhD in Computer Science from the University of Warwick in 2020, following an MSc in Distributed Systems Engineering from Lancaster University (2004) and a BSc (Hons) in Computer Science from the University of Leicester (2003). Prior to his academic career, he worked in Singapore for approximately 11.5 years as a research engineer (8 years), software engineer (1.5 years), and lecturer (2 years). Dr. Chuah's educational background includes: PhD in Computer Science, University of Warwick (2020) MSc in Distributed Systems Engineering, Lancaster University (2004) BSc (Hons) in Computer Science, University of Leicester (2003) His research focuses on large-scale systems dependability, with particular emphasis on two key areas: network security and HPC reliability. Initially focusing on reliability aspects of dependability, his current work investigates security in large networks through data-driven approaches for identifying, detecting, and predicting threats. He also develops data-driven methods for diagnosing failures and predicting faults in large cluster systems. Dr. Chuah has developed several system log-based diagnostics tools including FDiag (a failure diagnostics toolkit), ANCOR (an anomaly-correlation approach), and CORRMEXT (a workflow for identifying error propagation patterns). His work has practical applications, with FDiag being used by HPC systems administrators at the Texas Advanced Computing Center to uncover previously unknown causes of compute node soft lockups. Dr. Chuah's publication record shows a consistent research trajectory in system dependability, with recent publications (2023-2025) increasingly focusing on applying deep learning techniques to network security challenges and failure prediction in cluster systems. His research bridges the gap between theoretical computer science and practical system administration needs, with publications spanning both high-performance computing reliability and cybersecurity domains. His notable scientific achievements include: J. Tinsley Oden Faculty Fellowship at The Oden Institute for Computational Engineering and Sciences, University of Texas at Austin (2011) The Alan Turing Institute Doctoral Studentship (2016-2020) Dr. Chuah actively supervises research students, with MR MOHAMMAD ALSAAD listed as a current supervisee. He has secured research funding as Principal Investigator for "An AI-based Approach for Detecting Advanced Persistent Threats (APT) in Large Networks" through an EPSRC SPRITE+ Academic-Industry-Meeting secondment grant (2024-2025, £10k). He serves the academic community through various roles including TPC member for IEEE conferences, track chair for international conferences, and reviewer for numerous journals including Expert Systems with Applications, IEEE Transactions on Big Data, and ACM Computing Surveys. He teaches a variety of courses ranging from Learning from Data to Software Engineering and Algorithm Analysis to both undergraduate and postgraduate students at the University of Aberdeen.

Ifeyinwa E. ObiorahView profile

Associate Professor

• Hematopathology
• Lymphoma Research
• Molecular Pathology
• +5 more

Ifeyinwa E. Obiorah, M.D., Ph.D. serves as an Associate Professor of Pathology at the University of Virginia School of Medicine, specializing in Hematopathology within the Department of Pathology. Her clinical practice focuses on hematopathology diagnostics with particular expertise in lymphoma subtyping. Her research centers on molecular characterization of T-cell lymphomas, especially cutaneous variants, with significant contributions to understanding megakaryocyte abnormalities in myelofibrosis, RUNX1 germline mutations, and diagnostic flow cytometry innovations. Recent work explores lymphoma transformation mechanisms, CNS involvement patterns, and technological advances in urine analyzers. Her publication pattern shows consistent high-impact contributions across hematology, oncology, and laboratory medicine journals. Dr. Obiorah maintains active research collaborations evidenced by multi-institutional publications. Her work bridges diagnostic pathology with translational research, particularly in lymphoma classification systems and germline predisposition to hematologic malignancies. The PubMed record confirms her as a consistently productive researcher with 46 indexed publications spanning 2008-2025. She has contributed extensively to diagnostic methodology refinement, particularly regarding: Molecular classification systems for lymphomas Germline mutation implications in myeloid neoplasms Flow cytometry adaptations for novel therapies Cutaneous lymphoma diagnostic criteria Her educational background includes medical training at Nnamdi Azikiwe University (Nigeria), Anatomic/Clinical Pathology residency at Georgetown University, and Hematopathology fellowship at the National Institutes of Health - reflecting a strong foundation in both clinical practice and research methodology.

Brent FoxView profile

Professor

• Pharmacy Informatics
• Health Information Technology
• Medication Management
• +3 more

Dr. Brent Fox is a Professor at Auburn University's Harrison College of Pharmacy, where he also serves as Special Assistant to the Dean and Director of Student Affairs . He earned all his degrees (BS, PharmD, PhD) at Auburn and has been an integral member of the faculty since 2006. His work spans academic leadership, teaching, and research in pharmacy informatics. Education : B.S. in Pharmacy, PharmD, and Ph.D. in Pharmaceutical Sciences from Auburn University. Dr. Fox's research focuses on pharmacy informatics education and health information technology (HIT) in clinical practice, particularly medication management. He pioneered work on integrating informatics into pharmacy curricula and explored mHealth applications to support health outcomes. His recent work addresses the opioid epidemic through prescription drug monitoring programs (PDMPs) and machine learning for adverse drug events. His scholarly contributions include over 300 presentations/posters, two published informatics texts, and collaborative research projects funded by NIH and FDA. Key funded initiatives include machine learning for adverse drug event detection and comparative surveillance of generic drugs. Scientific Awards : ASHP Distinguished Service Award (2012), Young Alumni Achievement Award (2012), Excellence in Outreach Award (2017), ASHP Fellow. Dr. Fox has advised six PhD students and three Master's candidates while teaching courses in pharmacy foundations, practice management, research methods, and graduate seminars. His leadership extends to founding the Auburn University Center for Opioid Research, Education, and Outreach and chairing the ASHP Section of Pharmacy Informatics and Technology.

Michael KochView profile

Professor

• Robotics
• Additive Manufacturing
• Materials Science
• +3 more

Prof. Michael Koch is a Professor at Technische Hochschule Nürnberg, specializing in interdisciplinary research at the intersection of robotics, materials science, and industrial engineering. His work focuses on advancing additive manufacturing, robotics integration, and computational simulation in manufacturing processes. He holds a Dr.-Ing. and Dipl.-Wirt.-Ing., reflecting his expertise in engineering and applied sciences. Research interests include 3D printing optimization, cyber-physical systems, and safety analysis of materials under mechanical stress. He has contributed to innovations in robotics programming via augmented reality and developed frameworks for automated manufacturing processes. His studies on biomedical applications, such as ovarian cancer modeling, demonstrate a cross-disciplinary approach. Key projects involve robot-guided CT scanning for automotive industry 4.0, part orientation evaluation for additive manufacturing (Poeam), and safety protocols for explosives (PBX). His work emphasizes integrating real-world geometry data into simulations to improve accuracy and efficiency. Prof. Koch’s publications span over three decades, with a focus on manufacturing, robotics, and materials science. He has pioneered methods for energy-efficient CO2 capture systems and explored microstructural changes in materials under dynamic loading.

Stephanie Tulk JessoView profile

Assistant Professor

• Human Factors in Healthcare
• Human-AI Interaction
• Human-Robot Interaction
• +5 more

Stephanie Tulk Jesso is an Assistant Professor at the School of Systems Science and Industrial Engineering at Binghamton University. Her research focuses on human-centered design principles applied to healthcare technology, human-AI interaction, and social robotics. She holds a joint appointment in systems engineering and has collaborated extensively with clinical partners to address real-world healthcare challenges. Her work emphasizes translational research, aiming to bridge gaps between technological innovation and practical healthcare applications. Key research themes include improving patient-clinician interactions through AI tools like VizTrust, reducing hospital fall risks via human-centered robotics, and evaluating clinician involvement in AI development. She has pioneered studies on trust dynamics in human-AI/robot interactions using experimental methods in virtual environments and healthcare settings. Notable projects include co-designing AI chatbots with hospitals and exploring ethical implications of autonomous medical robotics. Her multidisciplinary approach integrates insights from social cognition, behavioral economics, and engineering design. Recent work examines how perceived competence and context influence human-AI collaboration, with implications for healthcare system design. She actively participates in translational research initiatives to ensure technologies are developed with end-user needs central to the process. Dr. Jesso's research trends show strong focus on: (1) Healthcare technology adoption challenges, (2) Ethical frameworks for AI/robotics in medicine, (3) Quantitative evaluation of human-technology collaboration, and (4) Co-design methodologies involving clinicians and patients. Her work frequently appears in top journals addressing human factors, medical informatics, and robotics applications. In advising, she mentors students working at the intersection of technology and healthcare ethics. Her lab collaborates with regional hospitals and tech companies to develop practical solutions for clinical environments. Current projects include AI-driven patient monitoring systems and designing intuitive interfaces for collaborative surgical robots.

Kristis AlexandrouView profile

Researcher

• Structural Design
• Computational Design
• Building Information Modelling (BIM)
• +5 more

Kristis Alexandrou is a Researcher at the Science and Technology in Archaeology and Culture Research Center (STARC) of The Cyprus Institute. He holds a Master’s degree in Architecture (MA) and a Ph.D. in Architectural Engineering from the University of Cyprus, focusing on hybrid bending-active structural systems. His research emphasizes Structural Design, Computational Methods, and BIM applications in heritage conservation. He contributes to projects like ENI-CBC-MED BEEP, RIF-UrbanPeriscope, and Horizon Infra, advancing BIM interoperability for cultural heritage data management. His professional experience includes architectural design and heritage retrofitting in Cyprus. At STARC’s Virtual Environments Lab (VElab), he develops BIM-based workflows to address data interoperability challenges in arts and humanities. Key projects include 'BIM to BPS interoperability' leadership in the BEEP Project and semantic data integration for Mediterranean heritage sites. His work bridges computational innovation with sustainable heritage preservation.

Lisa DiveView profile

Senior Lecturer

• Bioethics
• Genomics Ethics
• Reproductive Health
• +3 more

Dr. Lisa Dive is a Senior Lecturer in Genetic Counselling at the University of Technology Sydney's Graduate School of Health, where she teaches in the Master of Genetic Counselling program. Her research focuses on ethical considerations in genetics and genomics, particularly in reproductive health, public health, and clinical care intersections. Prior to joining UTS, she contributed to Mackenzie's Mission as a Postdoctoral Research Fellow in Bioethics at the University of Sydney, investigating large-scale reproductive genetic carrier screening across Australia. Dr. Dive holds an MPhil in Medicine (Bioethics) and PhD in Philosophy from the University of Sydney. Her research applies philosophical frameworks to resolve practical ethical challenges in healthcare contexts, specializing in genetic technologies and their societal implications. She has extensive experience developing ethical guidelines for clinical genomics and carrier screening programs. Her research elucidates normative concepts in bioethics through empirical studies of reproductive decision-making and screening implementation. Recent work examines severity assessment frameworks in carrier screening programs and ethical preparedness in genomic laboratories. Publications demonstrate consistent focus on justice considerations in information disclosure, stakeholder engagement models, and policy development for emerging genetic technologies.

• Emergency Medicine
• Forensic Sciences
• Clinical Pharmacology
• +3 more

Patrik Benjaminsson Nyberg is an Adjunct Associate Professor at Linköping University's Department of Biomedical and Clinical Sciences (BKV), within the Division of Clinical Chemistry and Pharmacology (KKF). He focuses on interdisciplinary research at the intersection of forensic science, clinical pharmacology, and emergency medicine. His work includes developing AI-driven methodologies for solving crimes using postmortem metabolomics, predicting neurotoxicity from cancer treatments, and advancing rapid narcotics classification techniques. Research interests span emergency medicine innovations like hyperspectral imaging for triage optimization, forensic toxicology, and the application of machine learning in crime scene analysis. His team has secured significant grants, including SEK 13 million from the Swedish Research Council for AI-based forensic research. He is affiliated with the Emergency Medicine Research Center and collaborates on projects involving vascular calcification and ER stress responses in disease. Key Projects: Postmortem metabolomics AI systems, taxane neurotoxicity prediction tools Labs/Teams: Emergency Medicine Research Center, Haemostasis Research Group Grants: SEK 13M Swedish Research Council (2023), WCMM funding (2024)

Kelly AldrichView profile

Professor

• Nursing Informatics
• Healthcare Interoperability
• Digital Health
• +7 more

Kelly Aldrich, DNP, MS, RN, is a Professor and Director of Informatics Innovation at Vanderbilt School of Nursing with a secondary appointment in Biomedical Informatics. Board-certified in Nursing Informatics, she brings over 35 years of expertise spanning cardiac/trauma critical care, healthcare transformation leadership, and academic innovation. Dr. Aldrich holds a Doctor of Nursing Practice and MS in Healthcare Systems Leadership/Nursing Informatics from the University of South Florida. Her research focuses on: Healthcare interoperability and trusted data architectures Virtual environments for nurse well-being (MIND Lab) Unique nurse identifiers and digital RN citizen models Clinical informatics integration in operations and education Her recent publications emphasize nursing informatics education, AI in healthcare, interoperability frameworks, and pandemic-response technologies. Publication trends show growing focus on immersive learning technologies and systemic healthcare solutions. Significant honors include: Sara K. Archer Faculty Award (2023, 2021) Fellow, American Academy of Nursing (2022) Dean's Award for Informatics Achievement (2021) HIMSS Fellow She leads industry initiatives including HHS/ONC interoperability task forces, Baxter Healthcare Digital Health advisory, and CDC Healthcare Trust Data Platforms. Dr. Aldrich founded an informatics consulting firm and serves on multiple national cybersecurity and innovation committees.

Hannah WorthingtonView profile

Lecturer

• Statistical Ecology
• Animal Conservation
• Population Management
• +7 more

Hannah Worthington is a Lecturer in Statistics at the University of St Andrews, affiliated with the Statistics Centre for Research into Ecological & Environmental Modelling. She holds a PhD in Statistical Development of Integrated Multi-State Stopover Models from the University of St Andrews (2016). Her research focuses on developing and applying statistical ecology methods to animal conservation and population management. Key interests include capture-recapture techniques, spatial capture-recapture, passive acoustic/visual monitoring, and workflow pipelines for new technologies. She also investigates public health issues such as antibiotic misuse in East Africa through mixed-methods approaches, linking multidimensional poverty to healthcare behaviors. Her work contributes to UN Sustainable Development Goals related to environmental protection and global health. Recent publications highlight her contributions to citizen science data analysis, spatial modeling bias reduction, and antibiotic resistance studies in East Africa. Her earlier work includes foundational research on hidden Markov models for birth cohort recruitment and therapy termination in clinical psychology. Scientific Awards: Conference Award (2012), Conference Award (2013) Summer Studentship (2009, 2010) Travel Bursary (2014) She actively participates in academic activities such as conferences (e.g., International Statistical Ecology Conference 2020) and public engagement (e.g., EXPLORATHON @ The Shops in 2023). Her research collaborations span institutions in East Africa (Kenya, Tanzania, Uganda) and Mongolia. She supervises postgraduate research students, offering projects on topics like movement ecology and statistical inference integration with machine learning. Hannah leads the development of statistical tools for ecological modeling, including a publicly available R package for seal population analysis (Zenodo, 2020). She collaborates with the HATUA Consortium on antimicrobial resistance research and maintains expertise in Hidden Markov Models and multidisciplinary data integration.

• Computer modelling and simulation
• Molecular simulation
• Self assembly
• +7 more

Jamshed Anwar is Professor and Chair in Computational Chemistry at Lancaster University's Department of Chemistry, where he leads the Chemical Theory and Computation Research Group. His research spans computational chemistry, molecular simulation, and pharmaceutical sciences, with significant contributions to understanding molecular assemblies, nucleation processes, and drug delivery systems. His research interests focus on developing fundamental understanding of organic molecular assemblies through computer modeling and simulation. Key areas include self-assembly, phase transformations, crystal nucleation and growth (particularly how these processes can be modulated), nanocrystals, phase transformations in crystals, biological membranes, protein aggregation, and drug delivery systems. His work aims to develop predictive approaches for optimizing the macroscopic properties of chemical and pharmaceutical systems, reducing experimental effort through rational design. His recent publications demonstrate strong activity in computational pharmaceutical sciences, with research spanning molecular dynamics simulations of drug delivery systems, protein aggregation studies relevant to neurodegenerative diseases, force field development, and thermodynamic calculations of crystal properties. The research shows consistent focus on applying computational methods to solve pharmaceutical and materials science challenges. Jinnah Award 2009 Pfizer Award 1999 R. P. Scherer Award 1986 Fellow of the Royal Society of Chemistry Fellow of the Royal Pharmaceutical Society of Great Britain Fellow of Sidney Sussex College, University of Cambridge Visiting Professor of the Chinese Academy of Sciences Visiting Professor of the Shanghai Institute of Materia Medica Professor Anwar actively hosts academic visitors and participates in university events, as evidenced by his hosting of researchers like Jan Verlet, David Brook, and Eric Borguet between 2016-2022. His research group is multidisciplinary, welcoming researchers from chemistry, chemical engineering, physics, and pharmaceutical sciences backgrounds. He previously served as Director of Research for the School of Pharmacy at University of Bradford and has held positions at King's College London, University of Pennsylvania, AMOLF in the Netherlands, and Cambridge University. His laboratory, the Chemical Theory and Computation Research Group, focuses on molecular modeling of pharmaceutical systems, with particular emphasis on nucleation processes, membrane interactions, and drug delivery mechanisms. The group maintains strong international collaborations, as indicated by his visiting professorships in China and numerous co-authored publications with international researchers.