Find Academic Supervisors

Peter HoughView profile

Professor

• International Relations
• Environmental Security
• Climate Change
• +4 more

Dr. Peter Hough is a Professor of International Relations at Middlesex University, with a primary appointment in the Law and Social Sciences school. He serves as Module Leader for Theories of International Relations and Global Security modules, and Research Degrees Coordinator for Politics & Social Policy. Currently supervising 5 doctoral students (with 14 previous completions), his research focuses on climate change, ecocide, critical security approaches, and international law. He has authored/co-authored over 50 publications, including seminal works on environmental security and Arctic geopolitics. His work has been cited by NATO and the United Nations General Assembly, reflecting its global policy impact. Education details are not explicitly listed, but his academic contributions span decades, with key roles in shaping curricula and advising on defense and environmental policy. He has presented at the UK Parliament and Ministry of Defence, demonstrating engagement with practical policy applications. His research emphasizes interdisciplinary approaches to security, linking ecological, humanitarian, and geopolitical dimensions. Notable contributions include advancing the concept of 'military ecocide' and critiquing 'water wars' narratives. He has edited volumes on 19th century environmental politics and co-authored major textbooks like Understanding Global Security and World Politics . Grants and awards sections remain unspecified, though his impactful research has garnered institutional and international recognition. Dr. Hough’s work bridges academia and practice, influencing both scholarly discourse and real-world policy through his analysis of Arctic resource competition, environmental legal frameworks, and the evolving nature of global threats.

• Machine Learning
• Neurology
• Ecology
• +3 more

Dr. Shri Rai is a Lecturer in the School of Information Technology at Murdoch University, affiliated with the College of Science, Technology, Engineering and Mathematics. His work bridges machine learning applications in medical diagnostics and ecological conservation, with a focus on spinal cord injury prediction and biodiversity management. Education details are not explicitly provided in the text, but his research spans interdisciplinary areas combining IT with healthcare and environmental science. He has contributed to studies on neurological deterioration prediction using machine learning, post-fire reptile succession, and habitat restoration strategies for endangered species. Key research interests include machine learning for medical imaging (e.g., MRI standardization), ecological succession patterns post-disturbance, and conservation strategies for threatened reptiles. His work often integrates technological solutions with ecological challenges, such as developing algorithms for early disease detection and habitat recovery metrics. Publications highlight a dual focus on clinical medical research (e.g., cervical myelopathy prognosis) and ecological restoration (e.g., post-mining rehabilitation). While no awards are listed, his contributions to interdisciplinary research demonstrate significant academic engagement. Advising and grants information are not detailed in the provided text, but his involvement in collaborative projects like the Canadian Spine Society and Australian conservation programs suggests active participation in academic networks. Rai’s affiliation with Murdoch University’s IT school positions him to advance computational methods for solving complex ecological and healthcare challenges, emphasizing data-driven solutions in both medical and environmental domains.

Jennifer M.I. LohView profile

Professor

• Organisational Psychology
• Organisational Management
• Human Resource Management
• +6 more

Jennifer M.I. Loh is a Professor in Management and Human Resources at the University of Canberra's Canberra Business School. She is a fully registered psychologist with the Australian Health Practitioner Regulation Agency and holds memberships with the Australian Psychological Society (APS), American Psychological Association (APA), Academy of Management (AOM), Australia Human Resource Institute (AHRI), and the College of Organisational Psychologists. Her educational background includes a PhD in Organisational Psychology from the University of Queensland (awarded December 14, 2006) and an Honours Bachelor of Science degree from the University of Toronto (awarded November 30, 1998). Professor Loh's research focuses on Organisational/Industrial Psychology, Organisational Management, and Human Resource issues. She investigates counter-productive workplace behaviors including workplace bullying and cyber-bullying, toxic workplace culture, resilience and capacity building, cross-cultural management and communication, and gender equity. Her work particularly examines the underlying mechanisms responsible for wellbeing and organizational outcomes among vulnerable groups and the impact of technology usage on work performance, teamwork, and wellbeing. Through her research, she has developed expertise in both quantitative and qualitative methodologies, often employing cross-cultural comparisons between Australia, Singapore, and other international contexts. Her recent publications (2017-2025) demonstrate a strong focus on workplace incivility, bullying (including cyber-bullying), gender equity across different cultural contexts, and the impact of social media in workplace settings. She has published extensively in high-impact journals such as Computers in Human Behavior (Q1), Social Media and Society, and Gender in Management, with notable publications examining generational perspectives on workplace behavior, context collapse in social media, and women's career progression across cultural contexts. TEQSA Expert panel member Assistant Chief Editor for Frontier Organisational Psychology Active member of ANZAM, AHRI, AOM, and APS Professor Loh has successfully supervised numerous PhD/DBA students including Hae Jin Jang (University of Canberra, DBA on Kkondae bullying), Xinmei Wu (University of Canberra, DBA on service innovation through big data analytics), and Robin Ladwig (University of Canberra, PhD on trans and gender diverse individuals' work experiences). She has also supervised over a dozen Honours students at Edith Cowan University on topics related to workplace cyberbullying, incivility, and cross-cultural management. Her supervision interests align with her research expertise in Human Resource, Counter Productive Workplace Behaviours, Organisational Management, Positive Psychology, and Advanced Technology. Professor Loh is actively engaged in current research projects examining Human Resource practices, Leadership, Workplace incivility, bullying, Workplace cyberbullying, Social media context collapse, Impact of technological usage, Gender equity, and wellbeing in organizational contexts. She frequently delivers invited presentations on fostering inclusive workplace cultures and improving workplace dynamics, including recent engagements with Pathway to Politics for Women and U3A (University of the Third Age).

Tiare FeuchtnerView profile

Assistant Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +4 more

Dr. Tiare Feuchtner is a Tenure-Track Assistant Professor of Human-Computer Interaction at the University of Konstanz since 2021. She previously worked as a postdoctoral researcher at the Technical University of Vienna and Aarhus University, where she coordinated the MADE Fast project. PhD: Computer Science, Aarhus University (2018), thesis: 'Designing for Hand Ownership in Interaction with Virtual and Augmented Reality' Master's: Computer Science, Berlin Institute of Technology Bachelor's: Media Informatics, Technical University of Vienna Her research focuses on Human-Computer Interaction, emphasizing embodiment and novel user interfaces for immersive cross-reality (XR) technologies. She investigates embodied user interfaces that enable direct interaction through virtual bodies ('avatars') with transformations, augmentations, and 'superpowers' via multisensory feedback. Current projects include Interoceptive Signalling in Mixed Reality and Real-Time Optimization of XR User Interfaces. Her recent articles explore hybrid input devices, haptic props for 3D manipulation, physiological feedback in collaboration, and adaptive XR interfaces. She has received awards for her work, including the Microsoft Imagine Cup (2013). She actively contributes to academic service through conference organization (e.g., AlpCHI'26, QiVC'23), program committees (CHI, ISMAR), and workshops (Women* in Computing, Hybrid User Interfaces). Her teaching includes courses on human-computer interaction, Unity, and spatially-aware interactive spaces.

Gang HeView profile

Assistant Professor

• Energy Systems
• Energy and Climate Policy
• Energy Transition
• +3 more

Gang He is an Assistant Professor at the Marxe School of Public and International Affairs at Baruch College, City University of New York (CUNY). He also serves as Doctoral Faculty in Earth and Environmental Sciences at the CUNY Graduate Center and is a Faculty Affiliate at the CUNY Institute for Demographic Research. As founder and director of the Deep Energy and Climate Policy Lab , he focuses on data-driven energy and climate policy research. Ph.D. in Energy and Resources, University of California, Berkeley M.A. in Climate and Society, Columbia University B.S. and M.S. in Geography, Peking University His research examines energy systems , climate policy , and sustainable development , with specific interests in power sector decarbonization, renewable energy integration, and policy informatics. Recent work explores the carbon-water-energy nexus , just transition from coal, and global supply chain impacts on clean energy deployment. Key publication trends show focus on: Energy transition modeling (SWITCH-China) Renewable cost analysis Climate policy effectiveness Health co-benefits of decarbonization Workforce impacts in coal regions International climate collaboration Scientific recognition includes: World's Top 2% Scientists (2024) Baruch College Faculty Research Award Integrated Assessment Modeling Consortium Best Poster Award Asia 21 Young Leader Aspen Environment Forum Scholar He has provided policy expertise to the New York State Climate Action Council , testified before the Climate Leadership and Community Protection Act hearings, and contributed to UNFCCC and U.S.-China climate working groups . His research has received funding from multiple sources including federal agencies, NGOs, and industry partners. As part of his institutional engagement, he participates in: Marxe School Research Committee CUNY Climate Change Consortium Planning Committee Energy Transition Sub-working Group (U.S.-China Working Group) National Offshore Wind R&D Consortium’s R&D Advisory Group He serves as Associate Editor for Energy, Ecology and Environment and reviewer for leading energy and environmental journals.

• Data Mining
• Machine Learning
• Biomedical Informatics
• +4 more

Michael Steinbach is a Researcher in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities, working in the research group of Prof. Vipin Kumar. He holds B.S. in Mathematics, M.S. in Statistics, and M.S./Ph.D. in Computer Science from the University of Minnesota. His research focuses on data mining, machine learning, biomedical informatics, and statistics, with applications in environmental science, healthcare, and engineering. He co-authored the widely used textbook Introduction to Data Mining , translated internationally. Previously, he held software engineering roles at Silicon Biology, Racotek, and NCR. Research interests emphasize integrating scientific knowledge with machine learning for real-world systems, such as climate modeling, flood forecasting, and healthcare analytics. His work spans causal inference, physics-guided AI, and interpretable predictive models. Collaborations include environmental monitoring, wildfire management, and clinical decision support systems in healthcare. Publications highlight innovations in knowledge-guided learning, multi-scale modeling, and causal discovery. His contributions bridge theory and practice, advancing AI applications in complex systems. The lab engages in interdisciplinary projects, combining computational methods with domain expertise to address societal challenges.

• Bayesian Methods
• Biostatistics
• Data Science
• +4 more

Saman Muthukumarana is a Professor and Head of the Department of Statistics at the University of Manitoba. He joined the department in 2010 as an Assistant Professor, was promoted to Associate Professor in 2016, and became a full Professor in 2022. He holds a BSc (Honours Special) in Statistics from the University of Sri Jayewardenepura, an MSc from Simon Fraser University, and a PhD from Simon Fraser University under Dr. Tim Swartz, focusing on Bayesian methods and applications. His research emphasizes Bayesian methodologies for complex models, with applications in social networks, health studies, sports analytics, environmental science, and machine learning. He has secured over $8.4M in research funding from NSERC, Mitacs, CIHR, and other organizations. His work has been published in journals such as the Canadian Journal of Statistics, Machine Learning with Applications, and IEEE Open Journal of Instrumentation & Measurement. Dr. Muthukumarana’s research spans Bayesian computation, biostatistics, data science, and environmental statistics. He has contributed to anomaly detection in buildings, predictive modeling for public health (e.g., Long COVID), and ecological studies like salmon stock recruitment. His collaborative projects include developing statistical tools for microbiome analysis and improving machine learning approaches for imbalanced datasets. He also leads the Data Science Nexus, fostering interdisciplinary research. His grants and collaborations highlight his role in advancing statistical methodologies for real-world challenges, including health, energy efficiency, and ecological conservation. While no specific awards are listed, his extensive funding and publication record reflect his scholarly impact. He currently supervises graduate students and actively participates in academic leadership roles.

Grant AllenView profile

Professor

• Atmospheric Physics
• Remote Sensing
• Greenhouse Gases
• +4 more

Grant Allen is a Professor of Atmospheric Physics at the University of Manchester's School of Earth and Environmental Sciences. His research focuses on atmospheric composition, greenhouse gas emissions, and remote sensing technologies, particularly using drones and aircraft. He has led multiple national and international projects, including NERC-funded initiatives such as GAUGE, MOYA, and MOMENTUM. His work integrates field measurements, satellite data, and modeling to address climate change mitigation and environmental policy challenges. Allen holds a PhD in Infrared Remote Sensing of Peroxyacetyl Nitrate from the University of Leicester (2005). He is a Fellow of the Royal Meteorological Society and actively contributes to global environmental assessments through organizations like the NERC Peer Review College. Research interests include drone-based methane quantification, Arctic methane dynamics, and shale gas environmental baselining. Key projects include developing UAV technology for regulatory monitoring and quantifying emissions from landfills, oil platforms, and biomass burning. Allen’s work has informed UK policy on methane reduction and global climate budgets. His expertise spans atmospheric physics, spectroscopy, and interdisciplinary environmental solutions aligned with UN Sustainable Development Goals.

Jeannette WhittonView profile

Associate Professor

• Plant Evolutionary Biology
• Population Genetics
• Phylogenetics
• +4 more

Dr. Jeannette Whitton is an Associate Professor in the Department of Botany at the University of British Columbia (UBC), Faculty of Science. Her research focuses on plant evolutionary biology, speciation, and polyploid evolution, with a particular emphasis on understanding the genetic and ecological mechanisms driving biodiversity. She leads the Whitton Lab, investigating systems like the sunflower family (Asteraceae), including the Townsendia and Crepis agamic complexes, to explore questions about species integrity, polyploidy, and reproductive strategies. Academic History: B.Sc. in Environmental Biology from McGill University (1988), Ph.D. in Botany from the University of Connecticut (1994), and postdoctoral research at Indiana University (1994–1997). Research Interests: Dr. Whitton studies population genetics, phylogenetics, and speciation processes. Her work examines how polyploidy and asexual reproduction (apomixis) influence species diversification, particularly in response to environmental pressures. Key projects include analyzing the Rocky Mountain Townsendia genus, the North American Crepis agamic complex, and invasive plant species' genetic traits. Grants and Collaboration: Collaborates with researchers like Loren Rieseberg and Sally Otto on projects funded by UBC's Excellence Funds. Advises graduate students (Chris Sears, Chris Lee, Jamie Leathem) and undergraduate researchers. Her lab combines fieldwork, molecular genetics, and phylogenetic analysis to address evolutionary questions. Labs/Teams: Whitton Lab focuses on evolutionary ecology, conservation biology, and plant systematics. Recent projects include common garden experiments for Townsendia hookeri and studies on invasive plant traits in Yukon.

Dhaval VyasView profile

Senior Lecturer

• Human-Computer Interaction
• Computer-Supported Cooperative Work
• Designing for Underserved Communities
• +9 more

Dhaval Vyas is a Senior Lecturer in Computer Science at the School of Electrical Engineering and Computer Science, University of Queensland, Australia. He leads the Compassion Lab research group and is a former ARC DECRA Fellow (2018-2022). His educational background includes a PhD in Human-Computer Interaction from University of Twente (Netherlands), a Master's degree in Computer Science from Lancaster University (UK), and an undergraduate degree in Computer Science from Gujarat University (India). Dr. Vyas's research focuses on designing technology solutions for underserved communities. His work spans Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW), with specific emphasis on supporting health and wellbeing in low socioeconomic status communities, refugees and asylum seekers, women in crisis situations, rural communities in developing countries, and older adults. He has developed innovative approaches to democratizing making practices through e-waste recycling and has created applications for men's sheds to coordinate activities. His recent publications demonstrate a consistent focus on refugee integration, making practices in underserved communities, health technology for older adults, and sustainable design. His work often combines ethnographic approaches with participatory design methods to develop technology solutions that genuinely address community needs. Scientific Awards: ARC DECRA Fellow (2018-2022) Dr. Vyas actively supervises PhD and Master's students, with current projects focusing on designing technologies for humanitarian entrants, refugee entrepreneurial pathways, smart homes for people with disabilities, and inclusive AI design for developing countries. His research has generated significant media interest, particularly around e-waste recycling initiatives and smart home technologies for assisted living. The Compassion Lab, which he leads, maintains a strong user-centric focus, studying issues at the grassroots level and involving community members directly in the design and development of technological solutions.

Chris CooneyView profile

Research Fellow

• Biodiversity Patterns
• Phylogenetic Comparative Methods
• Avian Evolution
• +3 more

Dr Chris Cooney is a NERC Independent Research Fellow at the University of Sheffield’s School of Biosciences. He holds a DPhil in Zoology from the University of Oxford (2010–2014) and a BSc in Biology from the University of York (2007–2010). His research focuses on understanding large-scale biodiversity patterns, phylogenetic comparative methods, and avian evolutionary dynamics. Key themes include sexual selection, speciation rates, and ecological drivers of diversity. He has held prestigious fellowships, including the Leverhulme Early Career Fellowship (2019–2020). His work combines computational tools (e.g., deep learning for phenotyping) with large datasets to address evolutionary questions. Cooney supervises multiple PhD students, including Jasmine Hardie, Robert MacDonald, and Shriya Uday, and collaborates internationally in avian biodiversity research. Publications highlight innovations in understanding avian morphology, sexual dimorphism, and ecological interactions. Awards include recognition for his contributions to evolutionary biology and biodiversity science. His Cooney Lab at Sheffield fosters interdisciplinary research bridging ecology, evolution, and computational biology.

• Clinical sciences
• Nursing
• Biomedical engineering
• +3 more

Ian Baldwin is an Adjunct Professor at Deakin University's School of Nursing & Midwifery within the Faculty of Health. His research focuses on clinical sciences, nursing, biomedical engineering, and health services systems with a strong emphasis on renal replacement therapy (RRT), hemoadsorption, and critical care medicine. He has contributed significantly to understanding drug removal during hemoadsorption, optimizing CRRT protocols, and advancing clinical practices in intensive care settings. Baldwin's work also explores anticoagulation strategies, blood volume monitoring, and comparative studies of CRRT membranes. His research integrates clinical practice with engineering solutions, addressing challenges in critical care such as toxin management, infection control, and hemodynamic stability. Recent studies include consensus reports on hemoadsorption standards and experimental evaluations of antibiotic removal efficacy. Baldwin collaborates internationally, evidenced by multi-authored publications in journals like Blood Purification and Clinical Journal of the American Society of Nephrology . His work highlights innovations in green healthcare initiatives, including digital documentation for CRRT, and nursing considerations for therapeutic plasma exchange. Baldwin’s research bridges clinical, engineering, and basic science domains to improve outcomes for critically ill patients requiring advanced renal and metabolic support.

Ivan KiskinView profile

Lecturer

• Machine Learning for Audio/Signal Processing
• Bayesian Deep Learning
• AI in Health Monitoring
• +3 more

Dr. Ivan Kiskin is a Lecturer in AI for Multimodal Health Monitoring at the University of Surrey's Surrey Institute for People-Centred Artificial Intelligence (PAI), affiliated with the School of Biosciences. He holds a PhD in Machine Learning for Acoustic Mosquito Detection from the University of Oxford (2020) and a first-class MEng in Engineering Science (2015). His research focuses on machine learning for audio/signal processing, Bayesian deep learning, and AI applications in health monitoring. He leads the HumBug project, developing smartphone-based mosquito detection systems funded by the Bill and Melinda Gates Foundation. His work combines bioacoustic signal analysis with community-driven data collection strategies, particularly in malaria-prone regions. Key contributions include the HumBugDB dataset, few-shot learning frameworks for bioacoustic event detection, and evaluations of AI systems in pandemic response. He collaborates with the Centre for Vision, Speech and Signal Processing (CVSSP) and co-supervises PhD students in AI-driven health applications.

Jesse Colin JacksonView profile

Professor

• Media Art
• Architecture
• Design
• +3 more

Jesse Colin Jackson is a Professor of Electronic Art & Design at the University of California, Irvine (UCI), where he also serves as Associate Dean for Research and Innovation and Executive Director of the Beall Center for Art + Technology. He holds a Master of Architecture (M.Arch.) from the University of Toronto. Education: M.Arch., University of Toronto His research explores architectures in built environments, digital visualization, and interdisciplinary art. Notable projects include the Marching Cubes series (2016–present) and The Printers Dance (2024). He has curated exhibitions such as Engaging the Margins (2024) and Urban Ecologies 2013 (2016). Awards: Hellman Fellow, Howarth-Wright Fellow He leads research initiatives at UCI’s Newkirk Center for Science & Society and Beall Applied Innovation, focusing on intersections of art, technology, and society.

Todd J. VisionView profile

Associate Professor

• Genome Evolution
• Plant Genomics
• Computational Biology
• +3 more

Todd J. Vision is an Associate Professor in the Department of Biology at the University of North Carolina at Chapel Hill. His research focuses on genome evolution, the genetic basis of ecological differences between species, and the development of computational methods for analyzing biological data. He leads the Vision Lab, which studies plant genomes and integrates molecular and computational approaches to understand evolutionary processes. Key collaborations include work on the Vertebrate Taxonomy Ontology (VTO) and projects funded by the NSF, such as semantic integration of evolutionary trees. He has advised PhD student Bryan Reatini, whose work on invasive Psidium in the Galápagos was supported by an NSF postdoctoral fellowship. Publications highlight contributions to data reuse practices and ontology-driven phenotypic analysis. His lab is located in the Genome Sciences Building, and he contributes to initiatives like the Phenoscape Knowledgebase and semantic web applications in biodiversity research.