Find Academic Supervisors

• Forced displacement health implications
• Disaster assessment methodologies
• Human rights implications of ICTs
• +3 more

Nathaniel A. Raymond serves as Executive Director of the Humanitarian Research Lab at the Yale School of Public Health (YSPH) and as a Lecturer in the Department of Epidemiology of Microbial Diseases at YSPH. Previously, he was a Lecturer of Global Affairs at the Jackson School for Global Affairs from 2018-2022. Prior to Yale, he founded and directed the Signal Program on Human Security and Technology at the Harvard Humanitarian Initiative from 2012-2018 and served as Director of Operations for the Satellite Sentinel Project from 2010-2012. Raymond's research focuses on three interconnected domains: the health implications of forced displacement; methodologies for assessing large-scale disasters including pandemics; and the human rights implications of information communication technologies (ICTs) for vulnerable populations in armed conflict. His work combines public health, human rights, and technology to document humanitarian crises through evidence-based approaches. He has pioneered the use of satellite imagery and digital technologies to monitor attacks on civilians and healthcare infrastructure in conflict zones like Ukraine, Gaza, and Sudan. Recent research includes documenting Russia's systematic abduction of Ukrainian children and analyzing damage to medical facilities in war zones. Analysis of Raymond's publication record reveals a consistent progression from traditional epidemiological approaches to innovative methodologies combining public health with digital technologies. His recent work demonstrates increasing use of geospatial analysis and remote sensing to document human rights violations and inform accountability mechanisms. The research spans conflict-related public health, refugee mental health assessment, and ethical considerations in humanitarian data use, with publications appearing in Nature, The Lancet, and other high-impact journals. Raymond has formally advised multiple UN agencies, governmental bodies, and non-governmental organizations including the UN Department of Peacekeeping Operations in South Sudan, UN High Commission for Refugees, Save the Children, International Committee of the Red Cross, Association of South East Asian Nations, and the US Naval War College's Humanitarian Assistance and Disaster Response program. His Humanitarian Research Lab has secured funding for projects related to Ukraine's abducted children and conflict monitoring in Sudan. As Executive Director of the Humanitarian Research Lab, Raymond leads a team that analyzes and preserves open source and remote sensing data, including satellite imagery and social media information, consistent with international legal standards for use in accountability mechanisms. The lab maintains rigorous chain-of-custody procedures for data preservation and provides real-time analyses to support healthcare delivery in conflict settings. Recent projects include the Ukraine Conflict Observatory documenting Russia's program of coerced adoption of Ukrainian children and the Sudan Conflict Observatory tracking humanitarian crises in that country.

Vuokko HeikinheimoView profile

Researcher

• Environmental Sciences
• Geoinformatics
• Social Media Analysis
• +7 more

Vuokko Heikinheimo is a Visiting Researcher at the University of Helsinki , affiliated with the Department of Geosciences and Geography and the Digital Geography Lab under the Helsinki Institute of Sustainability Science (HELSUS). She holds a PhD and MSc in Geography/Geoinformatics from the University of Helsinki and serves as a Senior Researcher at the Finnish Environment Institute SYKE since 2021. Education PhD in Geography/Geoinformatics, University of Helsinki MSc in Geography/Geoinformatics, University of Helsinki Her research focuses on environmental sciences and geoinformatics , leveraging social media data for conservation science, geospatial modeling of urban dynamics, and accessibility analysis for sustainable city planning. She has contributed to datasets like the Helsinki Region Travel Time Matrix and CO2 emission models, integrating open data and open-source tools. Recent work includes analyzing global urban indicator frameworks, climate zone typologies for smart cities, and land use impacts on ecosystem services in the Taita Hills, Kenya. Her 2025 articles examine social media platform longevity and climate-responsive urban planning. Scientific Awards Stora stipendiet för forskning (2024) Heikinheimo collaborates on projects such as MOBICON (ERC-funded), MAPHEL (linguistic landscape mapping), and ELY-GIS (GIS applications in conservation). She contributes to peer-review processes for journals like Landscape and Urban Planning and Land , and has organized events including the NECTAR conference on human-scale cities.

Erik LindahlView profile

Professor

• Membrane Proteins
• Ion Channels
• Molecular Dynamics
• +5 more

Erik Lindahl is a Professor at Stockholm University with a co-affiliation at KTH Royal Institute of Technology. He leads a research group at SciLifeLab focused on membrane proteins, particularly ion channels and pumps that transport ions for nervous system functioning. His work bridges computational and experimental approaches in biophysics. Dr. Lindahl's research spans multiple disciplines within biophysics and computational biology. His team uses bioinformatics to build models of human receptors based on bacterial structures, biomolecular simulations to understand molecular-level interactions, and experimental techniques like electrophysiology and spectroscopy. Key research areas include voltage-gated ion channels, ligand-gated ion channels, ATPase pumps, and allosteric modulation. His group has made significant contributions to understanding how these molecular machines function at the atomic level. The recent publications reveal a strong focus on the structural and functional mechanisms of ion channels and membrane proteins. His work combines molecular dynamics simulations with experimental validation, particularly in the areas of voltage sensing, alcohol modulation of receptors, and ion pump mechanisms. The publications demonstrate expertise in both computational methodology development and biological application. Dr. Lindahl leads a substantial research group with multiple PhD students, postdocs, and researchers. His team collaborates extensively, as evidenced by the multi-institutional authorship on his publications. He also contributes to major methodological developments in computational biophysics, most notably through his involvement with the GROMACS molecular simulation package. The research group operates at the intersection of several laboratories and facilities, leveraging both computational resources and experimental setups for electrophysiology and structural biology. This integrated approach allows the team to tackle complex questions about membrane protein function from multiple angles, combining theoretical modeling with empirical validation.

Jan De BeenhouwerView profile

Professor

• X-ray Imaging
• Computed Tomography
• Image Processing
• +3 more

Prof. Jan De Beenhouwer is a faculty member at the University of Antwerp, affiliated with the Department of Physics and the imec Vision Lab. His research focuses on advanced computational imaging techniques, particularly in X-ray tomography, phase contrast imaging, and reconstruction algorithms for medical and industrial applications. His primary research interests include: Development of novel X-ray imaging methodologies like edge illumination phase contrast Advanced CT reconstruction algorithms for sparse-view and dynamic systems Integration of deep learning with tomographic reconstruction Industrial applications including defect detection and material characterization Biomedical imaging such as bone structure analysis and tissue modeling Analysis of recent publications (2024-2025) reveals strong emphasis on: Innovations in phase contrast imaging hardware and simulation tools Advanced reconstruction techniques for motion compensation and sparse data AI-powered approaches for industrial inspection and biomedical research Development of open-source tools (CAD-ASTRA) for the tomography community He leads research at imec Vision Lab, focusing on both fundamental imaging physics and practical applications. The lab collaborates extensively with industrial partners on non-destructive testing solutions.

Bruce D BakerView profile

Professor

• School Finance
• Education Equity
• Funding Adequacy
• +3 more

Bruce D. Baker serves as Professor in the Department of Teaching and Learning at the University of Miami's School of Education and Human Development. He is Co-director and creator of the School Finance Indicators Database, establishing himself as a leading national expert on public education funding with over 25 years of research experience. His research focuses on school finance systems, educational equity, and funding adequacy , with particular emphasis on racial disparities and constitutional compliance. Baker has authored influential books including Educational Inequality and School Finance: Why Money Matters for America’s Students and School Finance and Education Equity: Lessons from Kansas , with forthcoming work on housing discrimination and school funding inequality. His publication portfolio demonstrates consistent focus on state finance system evaluations, cost modeling methodologies, and policy reform frameworks , with recent work addressing pandemic impacts, voucher systems, and federal aid structures across multiple jurisdictions including New York, Oregon, and California. AERA Fellow (2024) Cited by U.S. Supreme Court for racial inequality research #59 in Education Week/RHSU Edu-Scholar Top 200 (2025) National Education Policy Center Senior Fellow Learning Policy Institute Senior Fellow Baker provides extensive policy advisory services, having consulted on school funding design with Vermont, New Hampshire, Kansas, Texas, Colorado, Wyoming, Washington, Virginia, Missouri, Delaware, and Oregon. His expert testimony has been instrumental in numerous state and federal court cases regarding school funding inequalities. Current collaborations include work with the World Bank on global educational adequacy indicators.

Gizem Ates VenåsView profile

Associate Professor

• Human-Robot Interaction (HRI)
• Inertial Measurement Units (IMUs)
• Gamified User Training
• +4 more

Gizem Ates Venås is an Associate Professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences. She leads research in Human-Robot Interaction (HRI), focusing on intuitive human-robot cooperation through inertial measurement units (IMUs), gamified training systems, and teleoperation. Her work emphasizes safety and natural interaction in collaborative robotics applications. Education: Bachelor's in Electronics and Communication Engineering (2010-2015), Izmir Institute of Technology Master's in Mechanical Engineering (2015-2018), Izmir Institute of Technology PhD in Computer Science (Software Engineering, Sensor Networks) (2018-2023), Western Norway University of Applied Sciences Research interests include: IMU-based motion estimation for cooperative manipulation Design of gamified training systems to improve HRI proficiency Medical robotics applications in teleoperated surgical systems Sensor fusion and real-time data processing for collaborative robots Teaching focuses on robotics fundamentals: ROS programming, embedded systems (Arduino), and robot control Courses: ELE306 Robotics, DAT160 Intelligent Robots, ADA526 Applied Robot Prototyping Labs/Teams: Core member of HVL Robotics Lab, developing open-source robotics education materials and simulation tools.

Anna RogersView profile

Associate Professor

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +4 more

Anna Rogers is an Associate Professor of Data Science at the IT-University of Copenhagen , affiliated with the NLPnorth research group. Her work focuses on Natural Language Processing (NLP) , Artificial Intelligence , and Large Language Models (LLMs) , with a particular emphasis on ethical data use, peer review innovation, and transformer model analysis. She leads projects addressing AI transparency, medical QA hallucinations, and generative AI applications. Her research explores topics including: LLM behavior and evaluation Data governance in NLP Peer review systems optimization Transformer model robustness Medical AI applications Key Projects : PlagAIrism : Tracking LLM training data origins Pioneer Centre for AI : Pre-registered replication studies TinyGPT : Efficient NLP models AIInterviewer : Large-scale qualitative data collection Publications span ACL , EMNLP , and specialized NLP workshops, addressing topics from BERT analysis to AI content farms.

• Systems Engineering
• Control Systems Design
• Thermal Management Systems
• +5 more

James Allison is an Associate Professor in both the Industrial and Enterprise Systems Engineering and Aerospace Engineering departments at the University of Illinois at Urbana-Champaign. He is also affiliated with the Carl R. Woese Institute for Genomic Biology. His research focuses on systems engineering, control systems design, thermal management systems, and optimization methodologies. Dr. Allison has contributed to advancements in fluid-based thermal management systems, floating offshore wind turbine control co-design, and AI-driven design optimization. His work emphasizes interdisciplinary approaches, blending mechanical, aerospace, and computational engineering principles. Key research areas include design automation, graph neural networks for system architecture exploration, and reliability-based co-design of complex systems. He has pioneered methodologies for extracting design knowledge from optimization data and advancing multifunctional structures for attitude control in aerospace systems. Awards: NSF CAREER Award (2017) Labs/Groups: Involved in the development of tools like LGR-MPC and SS-MPC for Model Predictive Control, and the WEIS toolset for offshore wind turbine analysis. Dr. Allison’s recent publications highlight contributions to thermal management system configurations, control strategies for offshore renewable energy systems, and topology optimization techniques. His research bridges theoretical advancements with practical applications in aerospace, energy, and manufacturing sectors.

Jie RenView profile

Lecturer

• Software Engineering
• Software Security
• Component-Based Systems
• +3 more

Jie Ren is an academic with a Ph.D. from the Department of Informatics at the University of California, Irvine (UCI), where he specialized in Software Engineering under the guidance of Richard N. Taylor. Prior to UCI, he was a lecturer at Fudan University’s Software Engineering Lab, teaching Advanced Software Engineering courses. Post-Ph.D., he joined Google in Santa Monica. His research focuses on secure software architecture, event-based systems, and component integration, with notable contributions to the Secure xADL language and the Swirl project for usable security visualization. He has also developed tools for ranking research institutions based on publications and explored bridging communication paradigms like procedure calls and message passing. Education: Ph.D. in Informatics, University of California, Irvine (1999–2006) Software Engineering Studies, Fudan University (pre-UCI) Research Interests: Secure software architecture, component-based development, event-driven systems, usable security, architecture description languages, and system integration. His work emphasizes practical methodologies for designing secure, scalable, and interoperable software systems. Professional Contributions: Authored/co-authored over 15 publications on topics like architectural security, visualization for usability, and tool development. Served as webmaster for ASE 2005 and contributed to open-source projects like the Visio Editor for C2/xADL. Labs/Teams: Affiliated with UCI’s Institute for Software Research and contributed to collaborative projects such as the Swirl security visualization initiative.

• Digital History
• Criminology
• Historical Social Data Science
• +3 more

Zoë Alker is a Lecturer in Historical Social Data Science at Lancaster University's History department. She joined in 2022, specializing in the digital history of crime, justice, and punishment in 18th-20th century Britain. Her work integrates history, osteoarchaeology, criminology, and digital humanities to advance interdisciplinary research. Key projects include the British Academy-funded 'Skin and Bone' (2022), analyzing Londoners' bodily experiences through data mining, and 'Convict Tattoos' (2019), exploring cultural significance of tattoos in convict populations. Research focuses: Digital humanities, historical data science, crime history, gender studies, and Victorian society. Editorial board member for Routledge's SOLON series since 2022. Recent activities include organizing a 2024 workshop on data science and bordering technologies at The Storey, Lancaster. Her work has been featured in BBC, The Times, and other media outlets. She collaborates with policy groups like the Howard League for Penal Reform.

• Computational Materials Science
• Molecular Dynamics
• Machine Learning
• +2 more

Dr. Priya Vashishta is a Professor with joint appointments in Computer Science, Materials Science, and Physics at the University of Southern California. His research integrates computational methods across multiple scales to address fundamental challenges in materials science and nanotechnology. Research focuses on multiscale simulation frameworks combining quantum molecular dynamics, machine learning interatomic potentials, and high-performance computing. Key areas include: energy storage materials, 2D materials characterization, catalytic processes, and AI-driven materials discovery. Publication trends reveal consistent development of computational methodologies: machine learning potentials for materials simulation, neural network quantum dynamics, GPU-accelerated computing, and multiscale modeling techniques. Recent work emphasizes practical applications in energy storage, nanoscale electronics, and advanced manufacturing. Research group activities include development of open-source simulation packages (PND, Allegro) and leadership in the MAGICS computational materials center. Contributions span fundamental theoretical frameworks to applied materials engineering.

Andrea EdgintonView profile

Professor

• Pharmacokinetics
• Clinical Pharmacology
• Hemophilia Treatment
• +3 more

Andrea Edginton is a Professor and Hallman Director at the University of Waterloo's Faculty of Science, serving as Associate Dean. Her research focuses on pharmacokinetics and physiologically based pharmacokinetic (PBPK) modeling, particularly in hemophilia treatment optimization, pediatric drug dosing, and obesity-related pharmacology. She leads initiatives like the WAPPS-Hemo platform for clotting factor concentrates and has contributed to studies on maternal medication exposure during breastfeeding. Edginton's work bridges clinical practice and computational modeling, addressing drug efficacy and safety in diverse populations, including critically ill children and patients with rare coagulation disorders. Educational background: While not explicitly detailed in the text, her roles and research imply advanced training in pharmacy, pharmacology, or biomedical sciences. Research interests emphasize translational pharmacology, drug delivery mechanisms, and pediatric pharmacotherapy. She collaborates on global health projects, integrating real-world data with PBPK models to tailor treatments for hemophilia, neonatal care, and chronic illnesses. Key contributions include developing predictive models for factor VIII prophylaxis, optimizing anakinra dosing in extracorporeal life support, and evaluating drug interactions in obese pediatric populations. Her work on maternal drug exposure via breast milk highlights translational research impacting child health policies. Edginton also contributes to open-source pharmacology tools like the Open Systems Pharmacology Suite. Grant and advising activities are inferred from her research scope, though specific grants or student names are not listed. She is affiliated with the ConcePTION project for breastfeeding medication safety and the Kompetenznetz Hämostaseologie Ost (KHDO) in Germany. Her interdisciplinary approach spans academia, clinical practice, and industry collaborations, advancing personalized medicine strategies in hematology and pediatric pharmacology.

Dimitris PavlopoulosView profile

Associate Professor

• Non-Standard Employment
• Statistical Methodology
• Hidden Markov Models
• +3 more

Roles & Affiliations: Associate Professor in Sociology and Research Methods at VU Amsterdam, ERC Consolidator Grant recipient (2019), and affiliated researcher at Statistics Netherlands (CBS). Specializes in non-standard employment dynamics and statistical methodology. Education: PhD in Sociology (Tilburg University, 2007), MSc in Economics (Athens University of Economics and Business), BSc in Mathematics (National and Kapodistrian University of Athens). Research Interests: Focuses on the career effects of non-standard employment contracts, application of Hidden Markov Models, and improving official statistics through novel methodologies. Explores how organizational strategies and policies shape employment trajectories in Europe. Grants & Projects: Led the ERC-funded DYNANSE project (2020–2026), co-developed the SHARESTATS open statistics item bank, and manages the COMBINE grant (2024–2026) addressing measurement errors in social assistance data. Awards: ERC Consolidator Grant (2019), Best Poster Award (RC28 Conference 2017), and a PhD thesis bonus (2007). Labs & Teams: Leads research teams at the Social Inequality and the Life Course (SILC) group, collaborating internationally on labour market dynamics and statistical innovation.

Ling ChangView profile

Associate Professor

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• InSAR Techniques
• +5 more

Ling Chang is an Associate Professor at the University of Twente, affiliated with the Faculty of Geo-Information Science and Earth Observation (ITC) and the Department of Earth Observation Science. She holds a Ph.D. from Delft University of Technology (2015) and an M.S.E. from Tongji University (2010). Her research focuses on statistical hypothesis testing, time series modeling, and change detection using satellite remote sensing, particularly InSAR techniques. Key projects include AlignSAR (ESA Open SAR library) and RailRadar (TUDelft-ProRail collaboration). Education: M.S.E. in Geodesy and Survey Engineering, Tongji University, China (2010) Ph.D. in Geodesy, Delft University of Technology, Netherlands (2015) Research interests emphasize InSAR applications in infrastructure monitoring, environmental geology, and disaster risk assessment. Notable achievements include the Prof. J.M. Tienstra Research Prize (2022) and leadership in the NCG talent program (2020). Teaching responsibilities include coordinating the Radar Remote Sensing course. Her work contributes to UN SDGs related to sustainable infrastructure and climate action.

Diana Galvan SosaView profile

Researcher

• Natural Language Processing
• Knowledge Acquisition
• Applications of NLP in Education
• +3 more

Diana Galvan Sosa is a Researcher at the University of Cambridge, affiliated with the ALTA Institute (Automated Language Teaching and Assessment) and the NLIP group. She holds a doctoral degree in Information Science from Tohoku University (Japan). Her research focuses on Natural Language Processing (NLP), particularly knowledge acquisition and applications of NLP in education, including feedback generation systems for second language (L2) learners. She also contributes to clinical text analysis and hate speech detection research. Education: PhD in Information Science from Tohoku University, Japan. Research Interests: Grammatical Error Correction Educational Technology Clinical NLP Explainability in AI Temporal Relation Extraction Multimodal Reasoning Recent Work Trends: Her most recent publications (2023-2025) emphasize advanced NLP applications like GPT-4 analysis for error correction, hate speech detection leveraging platform guidelines, and evaluation frameworks for AI explanations. Earlier work includes foundational studies on clinical text analysis and addiction treatment populations. Labs/Groups: Active member of the ALTA Institute and NLIP group at Cambridge. Also contributes to open-source projects like the GECToR framework for grammatical error correction, reflected in her GitHub repositories.