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Neil HindleyView profile

Research Fellow

• Atmospheric Dynamics
• Remote Sensing
• Spectral Analysis Techniques
• +3 more

Neil Hindley is a Research Fellow at the University of Bath's Department of Electronic & Electrical Engineering, affiliated with the Centre for Climate Adaptation & Environment Research (CAER). He holds a PhD in Atmospheric Dynamics from the University of Bath (2016) and an MPhys Astrophysics from Cardiff University (2011). His research focuses on Atmospheric Dynamics, Remote Sensing, and Spectral Analysis Techniques, particularly studying gravity waves and their impacts on climate systems. He leads and collaborates on projects funded by the Natural Environment Research Council (NERC), including investigations into upper atmospheric waves, stratospheric-troposphere coupling, and ionospheric variability. As a NERC Independent Research Fellow, he contributes to the UN Sustainable Development Goals related to climate action and environmental protection. Recent projects include TEAMx-FLOW (2024–2028) and SURGE (2023–2028), exploring flow dynamics and upper atmospheric wave phenomena. His work integrates satellite observations (e.g., Aeolus wind lidar) with advanced modeling techniques, such as convolutional neural networks for gravity wave detection. Notable research includes analyzing the 2019/2020 quasi-biennial oscillation disruption and the global effects of the Hunga Tonga volcanic eruption on atmospheric dynamics. Awards: NERC Independent Research Fellow (2020–present). Grants include NERC funding for multiple projects totaling over £multi-million. His research outputs span 41 peer-reviewed articles, focusing on gravity wave characteristics, hurricane intensification mechanisms, and mesosphere-lower thermosphere interactions. Collaborations span international teams and institutions, advancing understanding of Earth's atmospheric systems.

Peter CameronView profile

Professor

• Emergency Medicine
• Trauma Care
• Resuscitation
• +4 more

Professor Peter Cameron is a leading academic and clinician in emergency and trauma medicine at Monash University's School of Public Health and Preventive Medicine. He serves as Director of The Alfred Emergency Academic Centre and holds leadership roles in national registries such as the Victorian State Trauma Registry and the Burns Registry of Australia and New Zealand (BRANZ). His research focuses on trauma systems, resuscitation, and emergency care innovation, with over 700 peer-reviewed publications. Professor Cameron has led 80+ research projects, including NHMRC grants and collaborations on global health initiatives. Key areas of expertise include disaster preparedness, telemedicine, and translational research. He has contributed to international organizations like the Australasian College for Emergency Medicine and the International Federation for Emergency Medicine. Awards include the NHMRC Fiona Stanley Synergy Grant (2019) for blood transfusion research. Recent work emphasizes virtual emergency care models, trauma outcomes in elderly populations, and pandemic response strategies. His projects address clinical quality improvement, resource optimization, and global health equity through partnerships in the Asia-Pacific region.

Jai CarmichaelView profile

Research Fellow

• Acquired Brain Injury (ABI)
• Psychopathology
• Suicide Prevention
• +4 more

Dr Jai Carmichael is a Research Fellow in the School of Psychological Sciences at Monash University and a Clinical Neuropsychology Registrar at Peninsula Health. His work bridges clinical practice and research, focusing on neuropsychiatric consequences of acquired brain injury (ABI), suicidality, and psychopathology. He leads projects funded by Epworth HealthCare and the American Foundation for Suicide Prevention, developing clinical tools and co-designing resources for ABI patients. With over 10 peer-reviewed articles, he reviews for 15 journals and supervises Honours students. Awards include the Monash Epworth Rehabilitation Research Centre Excellence Award (2024) and the ASSBI Kevin Walsh Award (2019). Education: PhD (Clinical Neuropsychology), awarded March 2024 Bachelor of Psychology (Honours), awarded December 2018 Research Interests: Dr Carmichael explores transdiagnostic approaches to ABI-related psychopathology, using data-driven methods to classify neuropsychiatric problems. His work emphasizes clinical translation, including frameworks for assessment and predictive validity. He investigates mechanisms underlying post-ABI distress, targeting treatment strategies for self-harm and suicidality. Grants & Projects: Epworth HealthCare Innovation Grant (2025-2026) American Foundation for Suicide Prevention Grant Current project: Addressing suicidality and self-harm post-ABI through mixed-methods co-design. Awards & Recognition: Monash Epworth Rehabilitation Research Centre (MERRC) Excellence Award (2024) School of Psychological Science's Rising Star Program awardee (2024) Labs & Collaborations: Active in international workgroups on mental health assessment for people with cognitive/physical disabilities. Collaborates with institutions globally on TBI-related studies.

Ben FulcherView profile

Research Fellow

• Brain Connectivity
• Schizophrenia
• Time Series Analysis
• +7 more

Ben Fulcher is an NHMRC Early Career Fellow at the Brain and Mental Health Laboratory (BMH) within the School of Psychological Sciences at Monash University. His research integrates physics-based modeling, time-series analysis, and machine learning to study brain connectivity in schizophrenia and the interplay between gene expression and neural networks. He holds a B.Sc. (Adv) (Hons) in Physics and Nanoscience from the University of Sydney (2007), an M.Sc. in Physics (2008), and a DPhil from the University of Oxford (2012) focusing on highly comparative time-series analysis. Research Interests: His work spans computational neuroscience, brain connectivity modeling, and interdisciplinary applications of time-series analysis. Key areas include schizophrenia pathophysiology, sleep-wake dynamics, and network-based approaches to mental health. His platform www.comp-engine.org/timeseries provides a collaborative resource for time-series analysis methods. Projects: He leads projects like 'From brain maps to mechanisms: modeling schizophrenia pathophysiology' (NHMRC-funded, 2015-2017) and collaborates on initiatives such as 'Integrating theory-guided and data-driven approaches for measuring consciousness' (NHMRC, 2020-2024). These projects address consciousness measurement, circadian rhythm biomarkers, and schizophrenia modeling. Publications: Over 50 peer-reviewed articles focus on brain dynamics, schizophrenia, and sleep modeling. Recent work includes geometric constraints in brain function (Nature, 2023) and network-based analysis of psychosis progression (JAMA Psychiatry, 2023). Awards: NHMRC Early Career Fellowship (2015-2017). His work aligns with UN Sustainable Development Goals related to health and well-being. Labs & Teams: Active in the BMH Lab and collaborates internationally with institutions like Oxford and Monash's MCIN (Clinical & Imaging Neuroscience).

Mohd-Zulhilmi Paiz IsmadiView profile

Senior Lecturer

• Imaging Techniques
• Stratified Flow Behavior
• Experimental Fluid Mechanics
• +4 more

Dr. Mohd-Zulhilmi Paiz Ismadi is a Senior Lecturer at Monash University's School of Engineering, specializing in Mechanical Engineering. He holds a PhD in Fluid Mechanics of Bioreactors from Monash University (2013) and a BEng (Hons) in Mechanical Engineering (2009). His research bridges academia and industry, focusing on imaging techniques, stratified flow behavior, and non-destructive assessment. He has secured over RM2 million in grants and collaborates with multinational organizations. Dr. Ismadi teaches courses such as MEC2402 Engineering Design I and MEC4407 Design Project. His industrial expertise includes engineering consultancy for government/private sectors and development of machine learning-driven data interpretation systems. He serves as Head of Panel at Malaysia's Engineering Accreditation Council (EAC) and contributes to youth development via the Ministry of Youth and Sports. Research highlights include wind turbine performance optimization, crack segmentation using deep learning, and acoustic-enhanced water treatment. He has published 24+ articles and received the 2019 PVC Excellence in Education Award. Current projects involve Bayesian Monte Carlo methods for pipe damage assessment and single-pixel imaging via generative adversarial networks. Dr. Ismadi's work aligns with UN SDGs related to affordable energy and sustainable cities. He actively peer-reviews for journals like Measurement and IEEE Sensors Journal , and chairs accreditation panels for engineering programs.

Marina SokolovaView profile

Assistant Professor

• Text Data Mining
• Machine Learning
• Social Mining
• +3 more

Marina Sokolova is an Assistant Professor in the Faculty of Medicine at the University of Ottawa, affiliated with the School of EPHPM and the Institute for Big Data Analytics. Her research focuses on text data mining, machine learning, and privacy-preserving techniques applied to healthcare and social media contexts. She holds a Ph.D. and M.Sc., and her work addresses challenges in analyzing large-scale, dynamic datasets (Big Data), particularly user-generated content related to personal health information and public health trends. Her research interests include sentiment analysis of health-related social media (e.g., Reddit, Twitter), development of privacy-aware algorithms, and automated methods for extracting insights from medical forums. She contributes to international conferences and journals in artificial intelligence and text mining, emphasizing explainable AI and ethical data practices. Dr. Sokolova collaborates on projects like YOURPRIVACYPROTECTOR, a privacy-recommendation system for social networks, and explores topics such as gene ontology analysis (via deepSimDEF) and biomedical NLP. Her articles span over two decades, with recent work emphasizing longitudinal sentiment analysis (2024), privacy-by-design frameworks (2022), and multi-class medical classification systems. She advises graduate students and has pioneered evaluation measures for classification tasks in health informatics. Her research bridges computational linguistics, machine learning, and healthcare ethics, addressing critical issues in data privacy and algorithmic transparency. Labs/Teams: Core member of the Institute for Big Data Analytics, collaborating with interdisciplinary teams on NLP and privacy engineering. Active in the Faculty of Medicine’s health informatics initiatives.

William R. TaylorView profile

Professor

• Biomechanics
• Musculoskeletal Engineering
• Orthopedics
• +7 more

Prof. Dr. William R. Taylor is a Professor of Movement Biomechanics at ETH Zürich's Department of Health Sciences and Technology, where he also serves as the Head of the Department and Deputy Head of the Institute for Biomechanics. His primary focus is on developing medical engineering concepts to assess musculoskeletal deficits and movement pathologies, with applications in clinical decision-making and targeted therapies. He has pioneered techniques such as the REFRAME approach for knee implant design evaluation and dynamic videofluoroscopy for joint analysis. William R. Taylor holds a Ph.D. in Biomedical Engineering from the University of Bath (1999). His academic journey includes postdoctoral research at the Biomechanics Research Lab, Prince of Wales Hospital, Sydney, Australia, and leadership roles at the Julius Wolff Institute, Charité – Universitätsmedizin Berlin (2001–2012). His research interests span biomechanics of aging, Parkinson’s disease gait analysis, spinal alignment in scoliosis, and wearable sensor technologies. He leads the Laboratory for Movement Biomechanics, which develops innovative solutions for musculoskeletal and neurological conditions, including wheelchair steering systems and fall prevention interventions for the elderly. Prof. Taylor has received prestigious awards, including the European Society of Biomechanics SM Perren Award (2022) and ISB Clinical Biomechanics Award (2021). His work has produced over 160 peer-reviewed journal contributions, emphasizing interdisciplinary collaboration between engineering, clinical neuroscience, and data science. Current projects include optimizing subthalamic nucleus DBS for Parkinson’s gait improvement, assessing stress-related low back pain in occupational settings, and validating spinal alignment models like ScolioSIM. He also explores the impact of electrode placement, sensor technologies, and machine learning in functional outcome predictions.

• Mental Health
• Suicide Prevention
• Clinical Psychology
• +3 more

Isabelle Hunt is a Senior Research Fellow at the University of Manchester's Division of Psychology & Mental Health. Her research focuses on suicide prevention, mental health services, and clinical psychology. She has contributed to over 78 publications and led projects such as the "Suicide in current and recently discharged psychiatric in-patients: A case-control study" . Her work aligns with UN Sustainable Development Goals related to mental health and well-being. Key areas of research include suicide-related internet use, substance use in schizophrenia, and patient safety in psychiatric care. Hunt received the Making a Difference - Social Responsibility award in 2021 for her contributions to mental health advocacy. Her academic output spans epidemiological studies, clinical surveys, and mixed-methods analyses. Collaborations include national clinical inquiries into suicide and homicide, emphasizing evidence-based policy recommendations.

• Geocollaboration
• Big Geospatial Data Analytics
• Geospatial Web Services
• +7 more

Dr. Songnian Li is a Professor and Associate Chair (Graduate Studies) in the Department of Civil Engineering at Toronto Metropolitan University. He holds a B.Eng. from Wuhan Technical University of Surveying and Mapping (now Wuhan University) and a PhD from the University of New Brunswick. His research focuses on geocollaboration systems, big geospatial data analytics, human mobility patterns, and digital twins for smart cities. He leads the GIS and GeoCollaboration Lab and has contributed to over 50 peer-reviewed publications. Dr. Li has received numerous accolades including the ISPRS Fellow (2020), 2023 Career Achievement Award, and multiple best paper awards. He serves as Editor-in-Chief of the Canadian Journal of Remote Sensing and holds editorial roles in several international journals. He actively supervises PhD and MASc students in geomatics engineering and related interdisciplinary programs. His professional memberships include leadership roles in the International Society for Photogrammetry and Remote Sensing (ISPRS), Canadian Society for Remote Sensing (CSRS), and the Canadian Institute of Geomatics. He has delivered keynote lectures globally and pioneered research in geosocial media analytics and spatio-temporal dynamics.

Stanley KOKView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• E-Commerce
• +6 more

Stanley KOK is an Assistant Professor at the Department of Information Systems & Analytics, School of Computing, National University of Singapore (NUS). He also serves as the Associate Director of the NUS AI Lab. He holds a Ph.D. in Computer Science from the University of Washington and a combined A.B./S.cB. in Computer Science & Economics from Brown University. His research focuses on artificial intelligence, machine learning, and their applications in e-commerce, fintech, healthcare, and social networks. He has led projects on AI-driven product categorization and interpretable healthcare models. Education: Ph.D., Computer Science, University of Washington, 2010 Combined A.B./S.cB., Computer Science & Economics, Brown University, 1999 Research Interests: AI/ML applications in e-commerce and healthcare Machine Translation for Product Categorization Interpretable Machine Learning Models Social Network Analysis Recent work emphasizes scalable AI solutions for product taxonomy (e.g., translating product descriptions to categories) and healthcare predictive systems. His articles span topics like graph neural networks for credit scoring and accountable relational triple extraction. Awards include teaching excellence and research grants from NUS and industry partners. Advising and Grants: Guided over 20 students to academic and industry roles Recipient of National Innovation Challenge grant (2019) and Rakuten collaborations Labs/Teams: Leads the SGEMS lab, focusing on energetic and motivated student-driven AI research. Collaborates with NUS AI Lab and industry partners like Rakuten.

• Pharmacoepidemiology
• Pragmatic Randomized Trials
• Cluster Randomized Trials
• +5 more

Tjeerd Van Staa is a Professor of Health e-Research at the University of Manchester's Division of Informatics, Imaging & Data Sciences. He specializes in pragmatic randomized trials using electronic health records (EHRs), with a focus on cluster trials and pharmacoepidemiology. His research addresses interventions in primary care, drug safety, and osteoporosis. He holds a MD from Erasmus University Rotterdam, a PhD in Pharmacoepidemiology from Utrecht University, and advanced degrees in Epidemiology and Medical Ethics. His career includes roles as Director of Research at the Clinical Practice Research Datalink and leadership in international collaborations like the Innovative Medicines Initiative. He teaches at Utrecht University and the London School of Hygiene & Tropical Medicine, covering pharmacoepidemiology and drug safety. Notable awards include the 2005 Iain I Boyle Award for contributions to bone disease research. Key projects include the RAPID-RT initiative improving lung cancer survival through real-world data, and the DynAIRx study optimizing medication reviews for patients with multimorbidity. He has contributed to over 310 publications, focusing on antibiotic prescribing, EHR data utilization, and clinical trial design.

Nikolas ThomopoulosView profile

Associate Professor

• Sustainable Transport & Mobility
• Autonomous and Connected Transport
• Electric Vehicles
• +5 more

Dr Nikolas Thomopoulos is an Associate Professor in Transport at the University of Surrey, where he leads the Sustainable Transport & Mobility Programme of the Institute for Sustainability. He is affiliated with the Department of Tourism and Transport within the Faculty of Arts, Business and Social Sciences, and contributes to several research centers including the Centre for Sustainability and Wellbeing in the Visitor Economy and the Institute for Sustainability. His academic background includes: BSc from University of Macedonia, Greece MSc from University of Oxford, UK PhD from University of Leeds, UK Dr Thomopoulos' research focuses on the wider impacts of autonomous, automated and electric vehicles, managing transport to improve tourist wellbeing, data and privacy management policies, lifelong community mobility, and urban mobility innovation. His work bridges transportation engineering, sustainability science, and tourism management, with particular emphasis on how technological innovations in transport can contribute to the UN Sustainable Development Goals. He examines both the technical aspects of new mobility solutions and their societal implications, ensuring a holistic approach to sustainable transport systems. His publication record demonstrates consistent focus on sustainable transport solutions, with recent work analyzing electric vehicle adoption in China, active travel infrastructure, and the sustainability implications of automated and connected transport. These publications reveal a strong interdisciplinary approach that combines transportation engineering with social science perspectives to address complex mobility challenges. As an academic leader, Dr Thomopoulos has received numerous honors including being a Marie Curie fellow and a Fellow of the Regional Studies Association. His leadership extends to: Chair of WISE-ACT (Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport) WG Leader of BOPALiM (2024-2028) Principal Investigator of multiple research projects With over 15 years of teaching experience in the UK at both undergraduate and postgraduate levels, Dr Thomopoulos currently supervises three Post-Graduate Researchers. He has secured funding from various sources including Horizon Europe, H2020, and UK research councils for projects such as R-Map, WE-TRANSFORM, and Ready2Drive. His consultancy work has informed strategic planning for organizations like Network Rail. Dr Thomopoulos leads the Sustainable Transport & Mobility Programme at the Institute for Sustainability, collaborating with international partners across 42 countries through WISE-ACT. His work with the Surrey Living Lab has directly influenced local active travel policies, and he serves as the Lead Academic Integrity Officer for SHTM and School Research Seminar Series Coordinator.

• Artificial Intelligence
• Telecommunication Networks
• Energy Efficiency
• +5 more

Hergys Rexha is a Postdoctoral Researcher at Åbo Akademi University's Faculty of Science and Engineering, specializing in the Department of Information Technology. His work contributes to UN Sustainable Development Goals related to sustainable shipping and energy efficiency. Rexha has been involved in projects such as FuSE: Future Shipping Electrified (2023-2025) and FUDGE-5G: Fully Disintegrated private networks for 5G verticals (2020-2023), focusing on AI-driven solutions for maritime logistics and 5G networks. His research spans Artificial Intelligence , Telecommunication Networks , Energy Efficiency , and Edge Computing . Key areas include computational offloading for low-power devices, explainable AI in medical imaging, and runtime systems for stream processing. Rexha holds a PhD in Computer Science from Åbo Akademi University (2023), where his doctoral thesis addressed energy-aware runtime systems. Rexha has authored over 12 publications, including works on neural networks for breast cancer segmentation and AI in green shipping. His datasets, such as the SODD – Subaquatic Object Detection Dataset , support edge AI applications in underwater environments. Collaborations span international institutions, emphasizing interdisciplinary approaches to sustainable technology.

• Cross-cultural Negotiation
• Intercultural Communication
• Conflict Management
• +3 more

Zhenzhong Ma is a Professor in the Management department at the Odette School of Business , University of Windsor . Holding a Ph.D. in Management from McGill University (2004), his academic career spans over two decades with a focus on cross-cultural negotiation and organizational dynamics. Research Highlights : Cross-cultural Negotiation Intercultural Communication Conflict Management Knowledge Management Organizational Behaviour Workforce Diversity Article Trends : Recent publications emphasize digital innovation, AI ethics, and cross-cultural management. Topics include AI-driven fraud detection, big data impacts on social innovation, and cultural influences on corporate governance. Professional Affiliations : Active member of leading academic societies including the Academy of International Business (AIB), Academy of Management (AOM), and International Association for Chinese Management Research (IACMR).

Bharat MaheshwariView profile

Associate Professor

• Information Systems
• Management Science
• Technology Management
• +3 more

Bharat Maheshwari is an Associate Professor at the Odette School of Business , University of Windsor, where he serves as Program Director for the MBA/MBA-MP programs. His academic career spans over 15 years at the University of Windsor, progressing from Lecturer to Associate Professor. Education : Ph.D. in Information Systems and Technology Management (Carleton University, 2007), MA in Management (Carleton University, 2001), and B.A. in Mechanical Engineering (Malviya National Institute of Technology, India, 1995) His research focuses on information systems , technology management , and supply chain management , with particular interest in ERP systems, crowdsourcing, e-government portal development, and organizational innovation processes. Recent work includes demand forecasting using neural networks in the Canadian forest industry and value co-creation in digital platforms. Selected publications demonstrate expertise in technology adoption (ERP systems, cloud computing, mobile data technology), strategic management (stage gate approach, open business models), and organizational effectiveness (performance measurement, compliance management). His 2022 study on forest industry demand forecasting exemplifies his analytical approach combining machine learning with supply chain optimization. Scientific Awards : Emerald Literati Network Highly Commendable Paper Award (2013), Professor of the Year (2012), Odette New Researcher Award - Honourable Mention (2011), and multiple best paper awards Competitive Grants : $25,000 for experiential learning (2016-2018), $6,000 for post-COVID supply chain research (2021), and various research grants from institutions like Canadian Purchasing Research Foundation and Tri-Council He maintains active academic service through advisory roles in organizations like the Supply Chain Management Association of Canada and professional memberships in the Chinese Association for Management of Technology. His teaching experience includes ERP systems institutionalization, technology transfer management, and application of TRIZ methodology to non-technical problems.