Find Academic Supervisors

William NewmanView profile

Clinical Professor

• Pharmacogenetics
• Rare Inherited Conditions
• Genomics
• +3 more

William Newman is a Clinical Professor of Translational Genomic Medicine at the University of Manchester and Honorary Consultant at Manchester University NHS Foundation Trust. He serves as President of the European Society of Human Genetics (2024-25) and Clinical Director of the NW Genomic Medicine Service Alliance. His roles include co-leading the BRC Theme on Rare Conditions and leading the NHSE Network of Excellence in Pharmacogenetics and Medicines Optimisation. Education: BSc (hons) Experimental Immunology and Oncology MB ChB (hons) from the University of Manchester PhD in genetics from the Wellcome Trust Cell Matrix Centre MA in Healthcare Ethics and Law Research Interests: Rare Conditions : Discovery of genetic causes using next-generation sequencing, focusing on Perrault syndrome, lower urinary tract disorders, and infection-triggered neuropathies. Pharmacogenetics : Clinical implementation of genetic testing to optimize medication responses, including the PALOH study for gentamicin-induced hearing loss prevention. Lower Urinary Tract Malformations : Studies on HPSE2 and LRIG2 genes in urofacial syndrome and bladder exstrophy, supported by the MRC-NIHR Rare Disease Node (REOLUT). Genetics of Perrault Syndrome : Identification of CLPP, MRPL49, PRORP, and DAP3 genes, exploring mitochondrial dysfunction mechanisms. Spliceosomal Disorders : Investigating craniofacial syndromes like Burn McKeown syndrome using mouse and stem cell models. Key Awards: New Statesman Healthcare Positive Impact Award 2022 Times Higher Education (THE) Research Project of the Year: STEM Award 2024 Teaching and Collaborations: Established MSc in Genomic Medicine and PGCert in Clinical Genetics with international partners. Collaborates with institutions like Newcastle University, UCL, and Cambridge on rare disease projects. Leadership in European Society of Human Genetics training programs for cardiac genetics professionals. Labs and Platforms: Manchester Centre for Genomic Medicine, Manchester Regenerative Medicine Network, and the Lydia Becker Institute.

• Biomedical Engineering
• Electrical Impedance Tomography (EIT)
• Medical Device Design
• +6 more

Professor Alistair McEwan, affiliated with the University of Sydney's School of Biomedical Engineering, specializes in biomedical devices and instrumentation for neurological and cardiovascular diagnostics. As the Cerebral Palsy Chair of Technology and Engineering and Associate Head (External Engagement), he focuses on low-cost medical solutions for resource-limited settings, including neonatal care and stroke detection. His research bridges biophysics and clinical translation, with applications in electrical impedance tomography, wearable sensors, and neuroprosthetics. PhD from University of Oxford Member of the Sydney Nano Institute, Brain and Mind Centre, and Charles Perkins Centre His work explores how tissue electrical properties can enhance understanding of neural signaling and implant design. Clinical collaborators include the Bill & Melinda Gates Foundation for newborn nutrition monitoring. Recent projects involve AI-assisted critical care modeling, bionic devices for stress measurement, and adaptive control systems for neonatal resuscitation equipment.

Xianghong Jasmine ZhouView profile

Professor

• Bioinformatics
• Genomics
• Computational Biology
• +3 more

Dr. Xianghong Jasmine Zhou is a Professor in the Department of Pathology and Laboratory Medicine at the University of California, Los Angeles (UCLA) School of Medicine . Her work focuses on integrating genomic , epigenetic , and bioinformatic approaches for non-invasive cancer detection and monitoring through cell-free DNA analysis . Principal Investigator for multiple NIH grants (R01CA246329, U01CA230705, etc.) Developed software tools ( cfSNV , cfTools , CancerDetector ) for cell-free DNA mutation and methylation analysis Co-developed CancerLocator and HCC EV ECG score for tumor-of-origin prediction and hepatocellular carcinoma monitoring Research Interests: Specializes in 3D genome modeling , epigenetic regulation , and machine learning for liquid biopsy applications. Her work bridges computational biology with clinical translation , particularly in cancer diagnostics and treatment response assessment . Scientific Contributions: She has pioneered deep learning and population-based modeling approaches for cell-free DNA deconvolution , isoform-level functional annotation , and multi-omics integration . Her 2016 Cell paper on alternative splicing has been highly influential, with over 266 mentions.

Luis NovoaView profile

Associate Professor

• Business Analysis
• Management Science
• Supply Chain Management
• +3 more

Luis Novoa is an Associate Professor in the Department of Computer Information Systems and Business Analytics at James Madison University’s College of Business, where he also contributes to the MBA program. His academic journey includes a Ph.D. in Decision Sciences from The George Washington University (2016), an M.S. and B.S. in Industrial Engineering from Universidad de los Andes (2007 and 2005, respectively). He has held roles such as Assistant Professor at JMU since 2017, Visiting Assistant Professor at The George Washington University (2016–2017), and Instructor at Universidad de los Andes (2007–2011). His research focuses on business analysis, management science, and applied decision analysis under uncertainty, particularly in supply chain management, logistics, education, and healthcare. Notable work includes optimizing automated package sorting systems, developing educational tools like STRATA for operations research assessment, and Bayesian methods for academic motivation analysis in business analytics courses. Recent articles highlight contributions to bike-sharing system decision-making, supply chain curriculum alignment with industry practices, and stochastic optimization in energy systems. His awards include JMU College of Business Distinguished Teacher (2021–2022) and recognition for summer research excellence (2011). Dr. Novoa’s teaching and research emphasize practical applications of analytics, bridging academic theory with real-world challenges in business and public sectors. He has authored or co-authored over 15 peer-reviewed publications spanning operations research, education, and industry case studies.

Evangelia Georgia KostakiView profile

Lecturer

• Epidemiology
• Molecular Epidemiology
• HIV/AIDS Research
• +7 more

Evangelia Georgia Kostaki is a Biostatistician and Epidemiologist serving as a Lecturer in the Department of Hygiene, Epidemiology, and Medical Statistics at the School of Medicine, National and Kapodistrian University of Athens (NKUA). She holds a PhD in Molecular Epidemiology from NKUA and has extensive teaching experience in medical statistics, epidemiology, and public health at the undergraduate and postgraduate levels. Her research focuses on molecular epidemiology of infectious diseases (HIV, HCV, HBV, and SARS-CoV-2), with emphasis on public health applications such as outbreak response and transmission network analysis. Education: Bachelor’s degree (NKUA) MSc in Biostatistics (NKUA) PhD in Molecular Epidemiology (NKUA) Research interests include HIV transmission dynamics, antiretroviral resistance surveillance, and pandemic response strategies. She has contributed to over 50 peer-reviewed articles and 2 book chapters, with active participation in global initiatives like the European AIDS Clinical Society (EACS) YING network and the Greek National Action Plan for HIV. Notable achievements include a New Investigator Scholarship (NSRF 2014-2020) and over 160 conference presentations internationally. Advisory roles include supervising 25+ MSc theses and supporting PhD candidates. Grants include co-investigator roles in national/international projects. She actively contributes to scientific societies, editorial boards, and guideline development for HIV testing protocols in Europe. Labs/Teams: Collaborates with the European Virus Bioinformatics Center (EVBC) and global networks addressing HIV and viral hepatitis epidemiology.

Wenqi ShiView profile

Assistant Professor

• Artificial Intelligence in Healthcare
• Precision Medicine
• Translational Medicine
• +3 more

Dr. Wenqi Shi serves as an Assistant Professor at the Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center. Her research focuses on the integration of artificial intelligence with healthcare, particularly advancing algorithms and systems for precision medicine. She specializes in working with multi-modal patient data including EHRs, medical notes, imaging, and genomics, with dedicated applications in pediatric healthcare, cancer, and rare diseases. Her research interests include developing large language models for translational medicine, creating agentic AI and generative models for biomedical discovery, and establishing responsible AI practices to enhance clinical outcomes. Publication trends show extensive work in explainable AI, clinical decision support systems, and multi-modal data integration, with recent emphasis on retrieval-augmented language models and causal inference methodologies. Dr. Shi obtained her Ph.D. from the Georgia Institute of Technology prior to joining UT Southwestern.

Nora McDonaldView profile

Assistant Professor

• Digital Privacy
• Artificial Intelligence
• Machine Learning
• +7 more

Nora McDonald is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University. She holds a PhD in Information Science from Drexel University and a BS in English from Cornell University. Her research focuses on digital privacy, ethical technology design, and the societal impacts of emerging technologies like AI. She investigates privacy practices in dynamic surveillance environments, particularly for marginalized populations, and examines how data relations shaped by social media algorithms influence identity and societal norms. Her work has been published in top venues including ACM CHI and CSCW, earning multiple Best Paper awards. She is actively involved in designing curricula addressing AI ethics and generative AI policy in higher education. Currently, she leads a National Science Foundation-funded study on privacy ecosystems and collaborates on projects like equitable community internet access during crises. Research interests span artificial intelligence, machine learning, cybersecurity, and human-centered computing. Notable projects include studies on post-Roe reproductive privacy challenges, neurodivergent identity verification systems, and Gen Z's interaction with AI technologies. She teaches courses on human-computer interaction (HCI) and technology ethics, mentoring students pursuing PhDs in privacy and health informatics. Awards: Best Paper Awards at ACM CHI and CSCW Grants: NSF SaTC grant for privacy ecosystems research Labs/Teams: Leads George Mason's Privacy & Health Informatics Initiative

Ryan ChapmanView profile

Assistant Professor

• Musculoskeletal Biomechanics
• Wearable Sensors
• Optical Motion Capture
• +7 more

Ryan Chapman is an Assistant Professor in the Department of Kinesiology at the University of Rhode Island (URI), leading the Biomechanics & Wearables Laboratory (BWL). His research focuses on musculoskeletal biomechanics, wearable sensor technology, and clinical decision-making, with applications in joint replacement, rehabilitation, and sports performance. Chapman earned his B.S. in Electrical Engineering from the University of St. Thomas, M.S. in Biomedical Engineering from the University of Iowa, and Ph.D. in Biomedical Engineering from Dartmouth College. He held teaching roles at Dartmouth before joining URI. His work integrates optical motion capture, machine learning, and AI to monitor human movement clinically and in daily life. Education highlights include: B.S.E.E., University of St. Thomas (200X) M.S., Biomedical Engineering, University of Iowa (20X) Ph.D., Biomedical Engineering, Dartmouth College (2018) Research interests emphasize wearable sensor validation, joint biomechanics post-surgery, and data-driven clinical tools. His studies on knee and hip arthroplasty recovery, published in journals like Journal of Biomechanics and Journal of Shoulder & Elbow Surgery , highlight his technical expertise. Awards include the 2022 URI College of Health Sciences Research Award and the 2019 ISTA Young Investigator Award. Chapman’s lab develops innovative systems for postoperative monitoring, such as gyroscopic alignment tools and IMU-based motion tracking. He advises students on biomechanical projects, including hip biomechanics in expectant mothers and neural network applications for joint angle quantification. His patents include leg alignment systems and movement monitoring technologies, reflecting his translational research impact.

• Industrial Livestock Production
• Digital Farming
• Antimicrobial Resistance
• +7 more

Kin Wing (Ray) Chan is a Wellcome Research Fellow (2022-2025) at the Royal Agricultural University, specializing in industrial livestock production, digital farming, and antimicrobial resistance. His interdisciplinary research integrates Human Geography, Veterinary Science, and Science and Technology Studies to examine relationships between precision livestock technologies, biopolitics, and animal production. Education PhD Geography and Planning, Cardiff University, UK MA Human Geography, University of Calgary, Canada BA (First Class Honours) Geography, Hong Kong Baptist University, Hong Kong Research Focus Chan's work explores how farming technologies and governance structures impact animal health and antimicrobial resistance across UK and Chinese agricultural systems. His research spans: Digital livestock management systems One Health approaches to disease control Farmer decision-making processes Environmental governance in agriculture Research Leadership He leads significant projects including a £197k Wellcome Trust fellowship on digital animal health technologies in China and coordinates international networks on biosecurity and antimicrobial resistance. His publications demonstrate consistent focus on veterinary practices, agricultural governance, and farmer behaviors, with recent work emphasizing diagnostic technologies and regulatory frameworks. Awards and Grants Wellcome Research Fellowship (2022-2025) AWRN Kick-Start Award (2024-2025) Multiple collaborative grants from ESRC, COST-Action, and GW4 Teaching At RAU, Chan leads modules on: Advanced Dairy Chains Global Meat Chains Editorial Contributions Editorial Board: Springer Nature Humanities & Social Sciences (2023-present) Review Editor: Frontiers in Veterinary Science (2018-present) Regular peer reviewer for 15+ journals

Janna CoomansView profile

Assistant Professor

• Medieval History
• Urban History
• Social History
• +3 more

Dr. Janna Coomans is an Assistant Professor in the Department of History and Art History at Utrecht University, specializing in Medieval History with a focus on urban health, environment, and social dynamics. Her research explores premodern cities' responses to public health challenges, disaster resilience, and community formation. She holds a PhD from the Amsterdam School of Historical Studies (2021 cum laude) and has held postdoctoral positions in ERC-funded projects like 'Healthscaping Urban Europe'. Her expertise spans social history, urban history, and medieval public health, with particular attention to the Low Countries. She leads the VENI-funded '(In)flammable Cities' project (2020) examining fire risks and urban transformation. Awards include the Praemium Erasmianum Dissertation Prize (2020) and Pro Civitate Dissertation Prize (2019). Her research integrates material culture analysis with archival sources, addressing topics like medieval sanitation, disease control, and urban infrastructure. She has contributed to interdisciplinary projects on pandemic responses, environmental governance, and spatial strategies in late medieval cities. Grants: NWO VENI grant (2020), ERC postdoctoral fellowship (2018-2021) Media engagements: Featured in NTR documentaries, podcasts on medieval hygiene, and pandemic history analyses Labs/Teams: Member of the Research Institute for History and Art History, affiliated with Pathways to Sustainability and Institutions for Open Societies research programs

Tsz-Yan Milly LoView profile

Associate Professor

• Pediatric Critical Care
• Data Informatics
• Neurocritical Care
• +3 more

Dr. Tsz-Yan Milly Lo is an Honorary Reader at the University of Edinburgh’s Usher Institute and a Consultant Paediatric Intensivist at the Royal Hospital for Children and Young People in Edinburgh. She leads the Research Programme in Paediatric Critical Care Medicine and holds the NHS Research Scotland Career Research Clinician Award. Her work focuses on leveraging data informatics to improve outcomes for critically ill children, particularly in neurocritical care and brain trauma. She leads international initiatives like KidsBrainIT (a EU-funded pediatric brain trauma data initiative) and Window in the Brain (developing seizure detection tools). Dr. Lo’s education includes clinical training across Edinburgh, Birmingham, and Melbourne, complemented by a PhD and post-doctoral fellowships in Edinburgh and Toronto. Her research spans clinical informatics, multi-disciplinary data integration, and translational medicine. Key collaborations include academic, clinical, and industry partnerships (e.g., with BrainsView Ltd and engineers at the University of Edinburgh). Her scientific impact includes over 20 peer-reviewed publications, with recent work emphasizing intracranial pressure monitoring, EEG-based seizure detection, and pediatric critical care quality improvement. Her grants total over €1M, including EU NEURON funding and MRC support. She supervises a dynamic research team focusing on innovation in critical care informatics and clinical excellence. Grants: £90,953 (G-WiB), £298,740 (WiB-2), £103,164 (WiB-1), €621,834 (KidsBrainIT). Public Engagement: Launched Scotland’s first PPIE group for pediatric critical care (Intensive-Share). Her lab, IMPACT-ACE, emphasizes clinician-scientist collaboration to drive evidence-based improvements in pediatric critical care. Current projects include global seizure detection tools and pediatric brain trauma big-data analytics.

Ahmed SherifView profile

Associate Professor

• Cybersecurity
• Cryptography
• Autonomous Vehicles
• +2 more

Ahmed Sherif is an Associate Professor specializing in cybersecurity and privacy-preserving systems, likely affiliated with the University of Southern Mississippi. He holds a Ph.D. from Tennessee Technological University (2017) and M.S. from Egypt Japan University of Science & Technology (2014). His research focuses on cryptographic solutions for autonomous vehicles, IoT networks, and smart grid security. Research interests span privacy-preserving systems across transportation and critical infrastructure, with emphasis on authentication protocols and hardware security. Teaches courses including Digital Logic, Network Security, and Advanced Security Techniques. Publications show strong focus on privacy engineering in emerging technologies (2021-2025), particularly in vehicular/drone networks and medical AI. No awards listed. Research includes federated learning for medical diagnosis and hardware-accelerated security frameworks.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +3 more

Li Wei is a distinguished academic affiliated with Tsinghua University, with a focus on interdisciplinary research spanning artificial intelligence, machine learning, and computer vision. His work often intersects with medical informatics, remote sensing, and signal processing, demonstrating a commitment to advancing technological solutions in healthcare, environmental monitoring, and engineering systems. Research interests include deep learning applications in clinical diagnostics, satellite data analysis for climate modeling, and optimization of energy storage systems. He has contributed to innovative solutions in areas such as UAV-enabled edge computing, privacy-preserving blockchain protocols, and thermal-based surveillance systems. His collaborative projects often involve multidisciplinary teams across institutions. Publications reflect a strong emphasis on practical applications, such as mobile health tools for tumor recognition, transformer-based super-resolution techniques for oceanography, and AI-driven risk classification models for respiratory diseases. While no specific awards or grants are listed, his prolific output across top-tier journals indicates sustained research impact. Professional activities include contributions to conferences like RecSys, MICCAI, and AAAI, and editorial roles are implied through his extensive publication record. Collaborations with industry partners (e.g., in energy systems and medical imaging) suggest engagement with real-world problem-solving.

• Control Systems
• Machine Learning
• Robotics
• +6 more

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

Ritika TiwariView profile

Senior Lecturer

• Public Health
• Health Policy
• Health Economics
• +3 more

Dr Ritika Tiwari is a Senior Lecturer in Public Health at the York St John University London Campus. She holds over 14 years of experience in public health across South Asia, Africa, and Europe, with prior affiliations to India’s National Health Mission, South Africa’s Stellenbosch University, and the UK’s University of Greenwich. At York St John, she serves as Semester Lead for the MSc Public Health program, leading modules on Health Economics and Public Health for an Ageing Population. Her research focuses on Human Resources for Health (HRH), emphasizing equitable health workforce distribution and universal health coverage. Key areas include geo-spatial inequities in healthcare access, workforce planning models, and policy interventions. Her work has contributed to South Africa’s 2030 HRH Strategy and analyses of dentist shortages, nephrologist deficits, and health workforce trends in India and South Africa. Publications span journals, policy reports (e.g., South African Health Reforms, 2022), and media features on oral health crises and health worker shortages. Dr Tiwari’s academic contributions bridge policy, education, and practice, aiming to strengthen health systems through evidence-based strategies.