Find Academic Supervisors

• Malaria Control
• Public Health
• Tropical Medicine
• +3 more

Carlos Chaccour is a researcher specializing in global health, particularly focused on malaria control and drug repurposing. His work integrates clinical trials, field epidemiology, and innovative technologies like AI-driven cough monitoring systems. He collaborates on large-scale studies such as BOHEMIA, investigating ivermectin's role in malaria vector control and collateral health benefits. His research spans tropical disease epidemiology, environmental health, and public health policy, emphasizing One Health approaches to combat neglected tropical diseases. Key research areas include: Evaluation of ivermectin's efficacy and safety in malaria and other parasitic infections Development of digital health tools for respiratory disease surveillance Impact assessment of air pollution on respiratory illnesses Health equity in malaria-endemic regions, especially in Mozambique and Venezuela His studies frequently employ randomized controlled trials, cohort designs, and advanced analytical techniques like MALDI-TOF MS for biomarker discovery. He advocates for evidence-based policy changes to address gaps in global health interventions, particularly in resource-limited settings.

• Quantum Optics
• Superconductivity
• Nanomaterials
• +3 more

De Lisio Corrado is a Full Professor at the CNR - Institute for Superconductors, Innovative Materials and Devices in Napoli. His research focuses on quantum optics, superconductivity, nanomaterials, photonics, and condensed matter physics. He has contributed to advancements in quantum state engineering, topological photonics, and photodetection technologies. His work spans experimental and theoretical studies, including investigations into quantum walks, superconducting thin films, and eumelanin thin film dynamics. Key research areas include developing novel photonic devices for astrophysical applications, such as the Cherenkov Telescope Array, and exploring materials like carbon nanotube-silicon heterojunctions. His studies on ultrafast spectroscopy have provided insights into superconducting dynamics and nanomaterial behavior. He collaborates extensively with interdisciplinary teams on cutting-edge projects, including quantum optics experiments and biomaterial characterization. De Lisio’s lab is part of the CNR’s Department of Physical Sciences and Technologies of Matter, emphasizing experimental and applied research. His work bridges fundamental physics with applied technologies, contributing to both academic and industrial advancements in photonics and materials science.

David ElzingaView profile

Assistant Professor

• Mathematical Ecology
• Applied Statistics
• Resource Management
• +3 more

David Elzinga is an Assistant Professor of Statistics at the University of Wisconsin-La Crosse , where he also directs the Coulee Data Center , a pro bono data analysis initiative supporting local nonprofits. He holds a Ph.D. and M.S. in Mathematics and an M.S. in Statistics from the University of Tennessee Knoxville (2023), and a B.S. in Mathematics from Wichita State University (2018). His research focuses on mathematical ecology , applying statistical and computational models to wildlife management, conservation, and resource systems. Elzinga’s work encompasses modeling pest control in prairie dogs, climate impacts on moose populations, and reintroduction strategies for extinct species like the passenger pigeon. He uses agent-based, differential equation, and matrix projection models to address ecological challenges. Recent projects include analyzing pollen competition in plants and vaccination tactics against bat diseases. Awards include the SIAM Project NExT Fellowship (2024). He actively mentors student researchers through programs like REUs and federal scholarships, emphasizing interdisciplinary collaboration. The Coulee Data Center collaborates with local partners like Habitat for Humanity, empowering data-driven decision-making in the Coulee Region. Elzinga’s teaching spans statistics courses from introductory to advanced levels, including Environmental Statistics and Biostatistics. He balances academic rigor with real-world applications, frequently integrating student projects into community service and conservation efforts.

Timothy MorinView profile

Associate Professor

• Carbon Cycle
• Methane Emissions
• Wetland Ecology
• +4 more

Dr. Timothy Morin is an Associate Professor in the Department of Environmental Resources Engineering at the State University of New York College of Environmental Science and Forestry (SUNY ESF). His research focuses on ecosystem carbon cycling, methane emissions from wetlands, and arctic climate systems. He holds a Ph.D. in Environmental Science from The Ohio State University (2017), an M.S. in Environmental Engineering from Georgia Institute of Technology (2012), and a B.S. in Mechanical Engineering from Georgia Institute of Technology (2007). Research Interests: Dr. Morin’s work integrates field methodologies and ecosystem modeling to study greenhouse gas emissions, wetland engineering, and the impacts of buried Arctic ice on global climate. His lab, the Morin Biogeochemistry Lab, emphasizes cutting-edge techniques like eddy covariance and mechanistic modeling of microbial processes. Recent studies include investigating methane dynamics in temperate wetlands and the ecological engineering of wetlands for carbon sequestration. Advising & Grants: Current advisees include Christian Bright (PhD candidate studying wetland hydrology and carbon dynamics), Erin Hassett (PhD candidate modeling microbial influences on carbon fluxes), and Shelby Martin (MS candidate in Environmental Resources Engineering). His research has addressed topics ranging from Arctic thermokarst carbon linkages to tick-borne disease ecology in urban parks. Teaching: Courses include ERE 275 (Ecological Engineering), ERE 311 (Ecological Engineering in the Tropics), and specialized graduate topics like ERE 596 (Ecological Modeling and Ecosystems, Carbon, & Climate). Labs & Teams: The Morin Lab at SUNY ESF employs state-of-the-art instrumentation and collaborates on projects spanning fieldwork in wetlands to Arctic climate modeling. Their work bridges environmental engineering, biogeochemistry, and climate science.

Dylan ParryView profile

Professor

• Invasive Species Ecology
• Conservation Biology
• Entomology
• +3 more

Dylan Parry is a Professor in the Department of Environmental Biology at the State University of New York College of Environmental Science and Forestry (SUNY ESF), where he leads research on invasive species impacts and conservation solutions in forest ecosystems. His work addresses critical threats from pests like gypsy moths and swallow-worts through ecological analysis and field-based interventions. Parry's research spans Invasive Species Ecology , Conservation Biology , and Entomology , with emphasis on climate-invasive species interactions. Key projects include biocontrol of swallow-worts using leaf beetles, investigating giant silk moth declines, and assessing non-target effects of transgenic American chestnut. His lab integrates physiological studies, field experiments, and ecological modeling to understand disturbance impacts and develop management strategies for threatened species like the bog buck moth. Recent publications (2020-2024) reveal consistent focus on climate-driven adaptations in invasive forest insects, particularly metabolic rate variation, cold tolerance, and dispersal mechanisms across invasion fronts. His work connects thermal biology to range expansion dynamics, while also addressing conservation of rare insects like Northern Barrens tiger beetles and evaluating ecosystem-scale impacts of invasive pests. Dylan Parry currently mentors four graduate students: David Harris (PhD, swallow-wort biocontrol), John McEachern (MS), Sam Quinn (PhD), and Amy Twohig (MS, plant pathogen-insect vectors). Recent graduates include Laura Stark (MS, earthworm-plant co-invasions), Fate Syewoangnuan (MS, invasive species management evaluation), and Chris Johnson (award-winning chestnut gall wasp research). His lab secures funding for initiatives like the bog buck moth captive breeding program and swallow-wort biocontrol. The Parry Lab operates as an active field and laboratory research unit within SUNY ESF, conducting studies in New York forests and collaborating with agencies on invasive species management. Projects include climate-gypsy moth physiology investigations, pine barrens Lepidoptera restoration, and browntail moth resurgence analysis. The lab maintains public engagement through Instagram and high school outreach programs using plasticine caterpillar predation models.

• Materials Science
• Computational Materials Modelling
• Crystal Plasticity
• +3 more

Edmund Tarleton is an Associate Professor in the Department of Engineering Science at the University of Oxford and a UKAEA/Royal Academy of Engineering Senior Research Fellow in Materials Modelling for Fusion Energy. He holds a DPhil and MSc from Oxford and is a Supernumerary Fellow at St Anne’s College. His research focuses on computational materials science, particularly crystal plasticity and hydrogen effects in engineering materials. Key contributions include modelling dislocation dynamics, fusion energy materials, and microstructural heterogeneity. He has received prestigious awards, including the EPSRC Early Career Fellowship (2015–2021) and the 2019 Rising Star in Computational Materials Science Prize. His work bridges experimental observations with advanced simulations, addressing challenges in nuclear materials, metallic alloys, and hydrogen embrittlement. Edmund collaborates with institutions like UKAEA and leads projects on fusion reactor materials. His lab develops frameworks like OXFORD-UMAT for crystal plasticity simulations. Current research emphasizes predictive models for material behavior under extreme conditions, with applications in aerospace and energy sectors.

• Analytical Chemistry
• Clinical Chemistry
• Biochemistry
• +3 more

Stephanie Rankin-Turner is an Assistant Professor in the Department of Chemistry at the University of Pittsburgh. Her research focuses on studying the human volatilome—the complex blend of volatile organic compounds emitted through breath, skin, and bodily fluids—to uncover insights into health and physiology. The Rankin-Turner lab employs advanced mass spectrometry techniques, including ambient ionization and gas chromatography/mass spectrometry, to analyze volatiles and develop non-invasive diagnostic tools for diverse health conditions. She bridges analytical chemistry with clinical practice, integrating biochemistry and data science to advance precision medicine. Key areas of research include the impact of disease, environment, and microbiome on the volatilome, and the development of tools for rapid forensic analysis of bodily fluids. Her work emphasizes interdisciplinary collaboration across chemistry, medicine, and engineering. Awards: Johns Hopkins Malaria Research Institute Postdoctoral Fellowship (2023) Japan Society for the Promotion of Science BRIDGE Fellowship (2022) American Society for Mass Spectrometry Postdoctoral Career Award (2022) Her publications span advancements in ambient ionization mass spectrometry, forensic applications, and environmental monitoring. She leads a lab training students in mass spectrometry, data analysis, and human subjects research.

Dali KaafarView profile

Professor

• Cybersecurity
• Privacy Preserving Technologies
• Web Security and Malware Detection
• +6 more

Professor Dali Kaafar is a leading academic and Executive Director of the Cyber Security Hub at Macquarie University's School of Computing. His work focuses on privacy-preserving technologies, web security, malware detection, authentication systems, and network modeling. He has contributed to over 187 research outputs and holds an h-index of 33. His projects span areas such as AI-driven anti-scam systems, blockchain applications, and privacy-preserving data sharing. Research Interests: His primary research areas include cybersecurity fundamentals, privacy-preserving machine learning, mobile application security audits, and the application of blockchain in secure systems. He explores cutting-edge topics like adversarial AI, IoT security, and differential privacy mechanisms to protect user data. Key Projects: Pitting AI Against Phone Scams (2024–2025) Central Bank Digital Currency Infrastructure (2023–2028) Cyber Security Workforce Training Program (2022–2024) Scientific Contributions: ACM AsiaCCS 2019 Best Paper Award Over 2000 citations across his publications Lab and Team Affiliations: He leads the Cyber Security Hub and collaborates with the Future Communications Research Centre, fostering interdisciplinary research in secure communications and emerging technologies.

Jennifer Gillett-KaufmanView profile

Academic

• Integrated Pest Management
• Olive Pest Management
• Molecular Biology
• +3 more

Jennifer Gillett-Kaufman is an Instructional Associate Professor in the Department of Entomology at Texas A&M University. She holds a PhD in Plant Pathology from the University of Florida and has over 20 years of experience in integrated pest management (IPM), combining agricultural education, plant pathology, and entomology. Her research focuses on olive pest management, molecular biology, orchid pollination, and IPM strategies. Education: B.S. Agricultural Education and Communication, University of Florida M.S. Plant Pathology, University of Florida Ph.D. Plant Pathology, University of Florida Research Interests: Dr. Gillett-Kaufman’s work emphasizes holistic approaches to crop pest management, including molecular techniques for blood meal analysis in mosquitoes and pollination biology of native orchids. She develops educational tools for IPM adoption and collaborates on projects addressing emerging pests like the Burmese python’s impact on local ecosystems. Publications Trends: Her articles span mosquito blood meal identification, thrips management in olive groves, and pollination mechanisms of endangered orchids. Recent work explores organic peach storage and biological control terminology. Awards & Grants: No specific awards mentioned, but her involvement in USDA-funded projects and collaborative research networks highlights her contributions to applied entomology. Labs/Teams: Engaged in interdisciplinary teams addressing IPM, vector biology, and plant-pollinator interactions. Leads outreach initiatives for agricultural extension and pest management education.

Robert LagerströmView profile

Professor

• Cyber Security
• Information Systems
• Threat Modeling
• +6 more

Robert Lagerström is a Professor at KTH Royal Institute of Technology specializing in Industrial Information Systems. His research focuses on developing automated cyber security frameworks and threat modeling methodologies for large-scale IT environments. Key areas include vulnerability analysis of IoT, automotive systems, and critical infrastructure, with a particular emphasis on probabilistic modeling and simulation languages like vehicleLang and powerLang. He collaborates extensively with industry partners across automotive, banking, energy, and cloud sectors to validate practical security solutions. His work emphasizes model-based security analysis that avoids disrupting live systems, enabling safe testing of cyber defenses. Notable contributions include the securiCAD tool for enterprise cyber security management and the PatrIoT framework for agile threat research in IoT ecosystems. Lagerström's research integrates enterprise architecture modeling with security behavior analysis, addressing challenges in digitalization and agile development environments. He has pioneered methods for quantifying attack resilience through probabilistic threat simulations and has published widely on topics such as LPWAN security, SCADA system vulnerabilities, and ethical considerations in offensive cyber training. His work bridges theoretical cyber security concepts with real-world implementation challenges in both traditional IT and emerging technologies like blockchain and microservices architectures.

Judith BrownView profile

Professor

• Plant Pathology
• Virology
• Vector Biology
• +5 more

Judith Brown is a Regents Professor at the University of Arizona’s School of Plant Sciences, part of the College of Agriculture, Life & Environmental Sciences. Her research focuses on plant viral pathogens, vector biology, and functional genomics, with particular emphasis on begomoviruses, Liberibacter spp., and whitefly/psyllid transmission mechanisms. She holds dual roles as a faculty member in six interdisciplinary programs: Biodiversity & Evolutionary Biology, Controlled Environment Agriculture, Genomics, Bioinformatics & Systems Biology, Microbiology, and Plant Protection & Pathology. Dr. Brown earned her Ph.D. (1984) and M.S. (1981) in Plant Pathology from the University of Arizona and Washington State University, respectively, alongside a B.S. in Horticulture from Texas A&M University. Her work integrates high-throughput sequencing, CRISPR-Cas12a gene editing, and RNA interference approaches to combat plant diseases. Her research portfolio includes studies on cotton leaf curl disease dynamics, potato psyllid-Liberibacter interactions, and development of dsRNA-based biopesticides. Recent publications emphasize genomic discoveries in plant-pathogen-vector complexes and diagnostic tool innovation. She teaches virology courses at both undergraduate (PLP/MIC 333) and graduate (PLP/MIC 611) levels. Notable research directions include exploring climate change impacts on pathogen transmission, optimizing scouting strategies for citrus greening disease, and characterizing viral diversity in under-researched regions like Oman and Côte d’Ivoire.

Adarsh PyarelalView profile

Assistant Professor

• Artificial social intelligence
• Automated causal model assembly
• Machine learning
• +3 more

Adarsh Pyarelal is an Assistant Professor at the School of Information , University of Arizona. His research focuses on socially-aware AI teammates, automated assembly of causal models from text/software, and probabilistic modeling of human coordination. He holds a Ph.D. and has contributed to projects like MultiCAT and Eidos/INDRA/Delphi frameworks. His work spans multimodal dialogue systems, variable extraction from scientific literature, and applications in particle physics collaborations. Notable contributions include the Future Circular Collider feasibility studies and vector quantization techniques in reinforcement learning. Despite numerous grant proposal rejections (noted in his Shadow CV), his research emphasizes resilience in academic pursuits. Current focus areas include AI team coordination and improving model interpretability through causal frameworks. He does not currently accept new PhD students. Technical interests include cross-platform GUI libraries (wxWidgets), MacPorts Python management, and reproducible research workflows using Pandoc/Zotero.

Jafar Al-ZailiView profile

Lecturer

• Renewable Energy Systems
• Turbomachinery Design
• Thermal Energy Storage
• +4 more

Dr. Jafar Al-Zaili is a Lecturer in Power and Propulsion at City, University of London, and Programme Director for Mechanical Engineering. He holds a PhD in Aerospace Engineering from Cranfield University and has extensive experience in engineering roles including design, R&D, and project management. His research focuses on micro gas turbines for renewable energy, thermal energy storage, low-carbon propulsion, and energy policy dynamics. He teaches modules on Gas Turbine Engineering, Distributed Generation, and Aerodynamics/Propulsion. Education: PhD in Aerospace Engineering, Cranfield University (2012) MSc in Aerospace Propulsion, Sharif University of Technology (2001) BSc in Mechanical Engineering, Sharif University of Technology (1999) Postgraduate Certificate in Academic Practice, City, University of London Research Interests: His work addresses optimizing micro gas turbines for solar applications, pollution reduction in combustion systems, and the integration of distributed generation in urban areas. He explores thermal storage systems, hydrogen fuel utilization, and policy impacts on low-carbon technologies. Publications: Recent contributions include studies on hydrogen-methane combustion, privacy-preserving data-sharing schemes, and microgrid dynamic pricing. Over 30 peer-reviewed articles and chapters highlight his interdisciplinary impact. Awards: Fellow of the Higher Education Academy Official Nominator for VinFuture Prize Professional Activities: Session organizer for Cycle Innovations since 2015 Member of ASME TurboExpo 2020 Local Liaison Committee Guest Editor for Energies journal special issue on solar thermal power Conference Advisory Board member for International Gas Turbine Conference Labs/Teams: Part of the Turbomachinery and Energy Systems Research Group, collaborating on projects such as solar-powered microturbine systems and hydrogen-based propulsion.

Neal MadrasView profile

Professor

• Probability Theory
• Discrete Mathematics
• Mathematical Modeling in the Sciences
• +5 more

Neal Madras is a Full Professor in the Department of Mathematics and Statistics at York University's Faculty of Science. His research focuses on probability theory, discrete mathematics, and mathematical modeling in the sciences. He explores applications in statistical mechanics, theoretical computer science, communications networks, and biological systems. Notable interests include self-avoiding walks, polymer behavior modeling, and disease progression mechanisms. Madras has contributed to interdisciplinary studies, such as HIV dynamics and mosquito population modeling under climate influences. He is also actively involved in mathematics competitions like the Canadian Mathematical Olympiad. His work bridges theoretical rigor and practical applications, with a focus on stochastic processes, combinatorial problems, and computational methods. Publications span topics from graph theory and knot invariants to epidemic control strategies and polymer adsorption. Madras maintains an active research program, engaging with both foundational mathematical questions and real-world problem-solving.

Susan CasselsView profile

Professor

• Health Geography
• Demography
• Infectious Disease Epidemiology
• +5 more

Susan Cassels is a Professor in the Department of Geography at the University of California Santa Barbara (UCSB) and Director of the Broom Center for Demography. Her research focuses on health geography, demography, and infectious disease epidemiology with an emphasis on migration and HIV transmission dynamics. She holds a Ph.D. in Demography from Princeton University and an MPH in Epidemiology from the University of Washington. Key research themes include analyzing how geographic mobility influences sexual health behaviors and HIV spread across populations, particularly among migrant communities. She employs mathematical modeling to explore intervention strategies and has studied populations in Ghana, Los Angeles, and other global contexts. Her work bridges demographic theory with public health practice, addressing topics like social determinants of health, sexual networks, and policy implications for HIV prevention. Cassels has advised four graduate students and collaborates with interdisciplinary teams on projects funded by NIH and other agencies. Notable contributions include studies on mobility's role in HIV transmission among Latinx men who have sex with men and the use of location-based surveys to map health hotspots. She also advocates for incorporating historical and structural factors into epidemic modeling to address racial disparities in infectious disease outcomes.