Find Academic Supervisors

• Tropical Cyclone Dynamics
• Atmospheric Science
• Meteorology
• +3 more

Chaehyeon Chelsea Nam is an Assistant Professor at the Department of Earth, Ocean, and Atmospheric Science (EOAS) at Florida State University, leading the Tropical Cyclone & Radar Research Lab. Her research focuses on understanding tropical cyclone dynamics, including genesis, intensification, and microphysical processes, through radar data analysis and high-resolution mesoscale modeling (WRF, CM1). Joined FSU in Spring 2024 Principal Investigator of her research group Active in field campaigns (ORCESTRA/PICCOLO, PRECIP 2022) Research Interests span multi-scale interactions in tropical cyclones, compound hazards, and climate change impacts. She emphasizes radar-based observations (airborne, shipborne, land-based) and parametric rainfall modeling for future projections. Recent Publications highlight sea spray effects on intensification, rainband climatology in monsoon regions, and parametric rainfall models. Her work integrates field observations with numerical simulations to study shear/dry environment impacts on genesis. Scientific Awards Best Student Oral Presentation, 14th International Conference on Mesoscale Convective Systems (ICMCS-XIV), 2021 Students include Master's candidates Connor Stoll and Abraham Tekoe, plus honor's thesis students Anna Walker and Kristen Cooper. Her lab collaborates with institutions in South Korea and the U.S., contributing to regional cyclone risk assessments.

V. Ashley VillarView profile

Assistant Professor

• Stellar Astrophysics
• Machine Learning in Astronomy
• Supernova Studies
• +3 more

Dr. V. Ashley Villar is an Assistant Professor of Astronomy at Harvard University, specializing in using machine learning and data-driven methods to study stellar explosions, mergers, and transient phenomena. She holds a PhD in Astronomy & Astrophysics from Harvard (2020) and a BS in Physics from MIT (2014). Her research focuses on supernova light curves, circumstellar interactions, and binary progenitor systems. She previously held positions at Columbia University as a Simons Junior Fellow and at Penn State as the inaugural Mercedes Richards Career Development Professor. Her work leverages large-scale surveys like LSST and JWST to analyze transients, develop classification tools (e.g., SPLASH, Superphot+), and model explosion mechanisms. Awards include NSF and Ford Foundation fellowships. She collaborates on projects such as the Young Supernova Experiment (YSE) and contributes to multimessenger astronomy efforts linking gravitational waves to electromagnetic counterparts. Key Projects: YSE Data Release 1 (1,975 supernova classifications), extrabol bolometric light curve estimator, SBI++ inference framework Grants: NSF, Simons Foundation, LIGO collaborations Labs/Teams: Harvard CfA Transient Research Group, LIGO HET Response Collaboration Her recent work includes analyzing GRB 221009A's supernova emission, kilonova light-curve interpolation, and binary merger signatures in double-peaked supernovae. She actively develops machine learning tools for transient classification and anomaly detection in big astronomical datasets.

• International Security
• European Union Politics
• Global Governance
• +10 more

Professor Michael E. Smith is a Chair in International Relations at the School of Social Science, University of Aberdeen. Previously, he served as a Reader at the University of St Andrews and Associate Professor at Georgia State University. He holds a PhD in Political Science from the University of California (Irvine) and an MA in International Affairs from The George Washington University. Chair in International Relations, University of Aberdeen (2010–present) Reader in International Relations, University of St Andrews (prior to 2010) Associate Professor of Political Science, Georgia State University (2004–05) Research Interests Smith's theoretical work focuses on international cooperation , conflict resolution , and global governance in challenging issue areas like security and technology . He combines international-level theories of institution-building with domestic-level state/societal politics to analyze collective action problems (free-riding, regulatory gaps, environmental harm mitigation) across advanced democracies, particularly the EU and US . His research on EU security policy and revolutionary technologies has led to major publications and grants. Notable Scientific Contributions Recipient of the European Research Council Grant (2008-13) for EU crisis management studies, Robert Schuman Fellowship (2018), and multiple awards for his articles on EU foreign policy. His book Europe's Foreign and Security Policy (Cambridge) is a standard reference in the field. Advising & Grants External PhD examiner for leading universities (Loughborough, Lancaster, European University Institute). Principal investigator for EU Horizon2020 EU-CIVCAP consortium (€1.7M) and ERC grant (€1M). Co-investigator on ESRC and EU Research Executive Agency projects.

• Data Management
• Database Systems
• Graph Data Management
• +4 more

Professor Chengfei Liu is a faculty member at Swinburne University of Technology, leading the Web and Data Engineering research group and serving as focus area leader for Knowledge and Data Intensive Systems in the SUCCESS Centre. His research focuses on web data management, advanced database systems, graph data, and workflow models. He has held academic positions at the University of South Australia, University of Technology Sydney, and the University of Queensland's DSTC. His work spans data management, distributed systems, and information systems, with notable contributions to cohesive subgraph discovery and efficient algorithms. Research interests include keyword queries, uncertain data, graph databases, and artifact-centric workflows. His awards include the Vice-Chancellor's Research Excellence Award (2007) and multiple best paper/demo awards at top conferences. Professor Liu supervises numerous PhD students and holds grants from the Australian Research Council (ARC), including projects on dynamic networks, heterogeneous graphs, and information resilience. He has authored over 297 publications, with recent work addressing topics like Bitcoin transaction prediction, federated subspace clustering, and multimodal eating disorder detection. His professional roles include program committee memberships at SIGMOD, ICDM, and CIKM, reflecting his influence in data science and database research.

Randy BorumView profile

Professor

• Terrorism Studies
• Intelligence Analysis
• Forensic Psychology
• +7 more

Dr. Randy Borum is a Professor and Director of the School of Information (iSchool) at the University of South Florida (USF), where he also serves as Director of Intelligence and National Security Studies. He previously held a joint appointment as a Senior Behavioral Scientist at Pacific Northwest National Laboratory (PNNL) from 2017 to 2019. His affiliations include advising roles with the FBI’s Behavioral Analysis Unit-1, the U.S. Secret Service, and the United Nations as a Roster Expert in Terrorism. He has held leadership positions such as Past-President of the American Academy of Forensic Psychology and currently serves as Senior Editor for the Journal of Strategic Security and Military Cyber Affairs. Dr. Borum’s research focuses on terrorism, violent extremism, and threat assessment, with expertise in forensic psychology and intelligence analysis. His work explores the psychological and sociocultural dynamics of radicalization, juvenile radicalization, and cyber intelligence. He emphasizes practical applications in counterterrorism, law enforcement protocols, and national security policy. Key areas include: Risk assessment methodologies for violent extremism Behavioral analysis in threat management Cybersecurity and intelligence workforce development Forensic psychology in high-stakes security contexts Policy frameworks for preventing extremist violence In addition to academic leadership, Dr. Borum has led initiatives such as the "Psychology of Terrorism" project for the U.S. Intelligence Community. He collaborates with federal agencies, including the CIA, Department of Defense, and FBI Academy, to develop training programs and analytical tools. His contributions extend to advising on interrogation protocols, protective intelligence strategies, and counter-insider threat measures. Dr. Borum holds notable distinctions, including: Fellow of the American Academy of Forensic Psychology Board Certified in Forensic Psychology Listing on the United Nations’ Roster of Experts in Terrorism He directs the School of Information, a hub for advancing cyber intelligence and national security education. His work integrates interdisciplinary approaches, bridging behavioral science with technological and policy solutions to global security challenges.

Lasse Riis ØstergaardView profile

Associate Professor

• Medical Imaging
• Biomedical Engineering
• Image Processing and Computer Vision
• +4 more

Lasse Riis Østergaard is an Associate Professor at the Department of Health Science and Technology, Aalborg University, affiliated with The Faculty of Medicine. His research focuses on medical imaging, AI applications in healthcare, and computational methods for analyzing medical images, particularly in CT and MRI. He leads projects such as 'Modelling and quantification of the cerebral cortex' and contributes to initiatives like the Danish Centre for Health Informatics and AI for the People. Key research areas include: Medical Image Analysis: Specializing in segmentation, artifact reduction, and quantitative measurements in CT/MRI AI in Surgery: Developing deep learning models for surgical action recognition and robotic skill assessment Clinical Applications: Investigating body composition via CT, lung function correlations, and placental vascular imaging He has authored over 120 publications and supervised 5 PhD students. Notable collaborations include work with the Virtual Brain project and NemoMed. Recent studies explore ethnic differences in body composition and AI-driven surgical training. Awards: None explicitly listed, but his work has received media attention including coverage in Surgical Endoscopy and Advances in Respiratory Medicine .

Kenneth L. CumminsView profile

Research Professor

• Lightning Physics
• Atmospheric Electricity
• Remote Sensing
• +3 more

Kenneth L. Cummins serves as a Research Professor in the Department of Aerospace, Physics and Space Sciences at Florida Institute of Technology and a Research Associate in Hydrology and Atmospheric Sciences at the University of Arizona. His expertise centers on atmospheric electricity research, utilizing advanced instrumentation including high-speed video systems, lightning location networks, and satellite sensors for comprehensive lightning studies. He earned a PhD in Electrical Engineering from Stanford University (1978), specializing in digital and statistical signal processing and physiological modeling. This foundation enabled his transition into atmospheric physics instrumentation and data analysis. Dr. Cummins' research focuses on two interconnected domains: (1) lightning physics phenomenology, examining cloud-to-ground behavior differences over land/ocean, upward leader dynamics, terrain effects on strike location, and quasi-static electric field evolution; and (2) remote-sensing validation, particularly cross-calibrating GOES Geostationary Lightning Mappers with ground-based networks like NLDN. His methodologies integrate tower measurements, electromagnetic field sensors, and multi-platform observations to capture microsecond-scale processes. Recent publication trends reveal strong emphasis on satellite-based lightning observations for climate monitoring, with significant work on GLM performance validation, mega-electromagnetic pulses from extreme currents, and high-resolution terrain-lightning interaction mapping. His research directly supports National Climate Assessments and lightning safety applications. He has made substantial contributions to lightning detection network evaluation, space launch safety criteria development, and infrastructure protection standards, particularly for Smart Grids and national park lightning risk management. His work bridges fundamental atmospheric physics with practical meteorological applications.

Ruth GodfreyView profile

Associate Professor

• Analytical Technology Development
• Applied Chromatography
• Mass Spectrometry
• +3 more

Dr. Ruth Godfrey is an Associate Professor in Biomedical Sciences at Swansea University Medical School, Faculty of Medicine, Health and Life Science. With over a decade of academic experience, she has progressed from Lecturer (2011-2017) to Senior Lecturer (2017-2020) and currently serves as Associate Professor (2020-present). Her work bridges academic research and practical applications, supporting R&D for multinational companies, government agencies, and SMEs through her expertise in analytical technologies. Dr. Godfrey's research focuses on analytical technologies and method development for medical and chemical analysis, with particular emphasis on environmental medicine, mass spectrometry, and sample preparation technology. Her work spans pharmaceutical analysis, environmental monitoring, and clinical applications, with a strong focus on developing practical analytical solutions for complex real-world problems. She has made significant contributions to the QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) methodology, adapting it for environmental and clinical matrices, and has developed educational tools like the 'Periodic Table' for liquid chromatography separation modes and mass spectrometry instrumentation. Her publication record demonstrates consistent productivity across environmental analysis, mass spectrometry, and chromatography. The trends in her work show increasing focus on environmental applications of analytical techniques, particularly regarding pollutant monitoring and sustainable analytical methods. While maintaining strong foundations in mass spectrometry fundamentals, her recent work has expanded into green chemistry applications and the intersection of analytical science with environmental sustainability. Dr. Godfrey has received significant recognition through her professional designations: Chartered Chemist Chartered Scientist Fellow of The Higher Education Academy She has successfully secured diverse research funding from UKRI, EU programs, industry partners, and charities, totaling over £2 million across multiple projects. Her supervision record includes PhD, MRes, and MPhil students, with current projects focusing on environmental and health impacts of chemical pollutants. Beyond her university role, she actively contributes to the scientific community as Secretary of the RSC Analytical Methods Committee's Instrumental Analysis Expert Working Group and as an RSC Chemnet Ambassador promoting science education.

Deborah FeinView profile

Professor

• Autism Spectrum Disorder
• Clinical Psychology
• Neuropsychology
• +3 more

Deborah Fein is a Distinguished Professor at the University of Connecticut's Department of Psychological Sciences. She earned her Ph.D. from Rutgers University in 1975. Her research encompasses autism spectrum disorder (ASD), focusing on early detection, intervention effectiveness, and developmental outcomes. She leads multiple projects including the Early Detection Study (screening efficacy at 12-36 months), Albania Project (cross-cultural validation of ASD screening), Optimal Outcome Study (factors enabling loss of ASD diagnosis), and Parent Training Project (digital resources for caregivers). Research interests span clinical psychology, neuropsychology, and developmental disorders, with emphasis on: Early screening tools (e.g., M-CHAT-R/F validation) Neurocognitive mechanisms in ASD Cross-cultural adaptation of interventions Language development trajectories Optimal outcome predictors in ASD Her publications primarily investigate ASD screening methodologies, neuropsychological profiles, language acquisition patterns, and cross-cultural validation of diagnostic tools. Recent works emphasize longitudinal studies of developmental trajectories, predictors of optimal outcomes, and neuroplasticity in ASD populations. Significant honors include: Board of Trustees Distinguished Professor Faculty Excellence Award in Graduate Teaching (1999) Edith Kaplan Award for Neuropsychology (2012) Her research has been continuously grant-supported since 1977. She collaborates with institutions including Drexel University, Georgia State University, Vanderbilt University, and the University of Washington.

• Forensic Accounting
• Fraud Investigations
• Anti-Bribery/Corruption Compliance
• +3 more

Benjamin EE Kum Chuin is an Adjunct Lecturer at Singapore Management University’s School of Accountancy. He leads RSM Singapore's Litigation Support and Forensics practice, with over 20 years of experience in forensic accounting, compliance advisory, and fraud investigations. Previously, he led the forensic practice of a Big 4 firm in Beijing. His expertise spans fraud investigations, anti-bribery/corruption compliance, and dispute resolution for multinational and Chinese firms across energy, life sciences, and manufacturing sectors. Education : Fellow Chartered Accountant, Institute of Singapore Chartered Accountants (ISCA) Financial Forensic Professional certification from ISCA Association of Chartered Certified Accountants (ACCA) qualification Benjamin’s research focuses on forensic accounting methodologies, fraud prevention during crises, and compliance frameworks for multinational enterprises. His work bridges academic insights with practical applications in high-stakes regulatory environments. He frequently speaks at regional conferences and advises Trace Excellence, a non-profit advancing export control and trade compliance knowledge. Key contributions include analyzing economic crime trends across Asia and guiding clients through regulatory inquiries from stock exchanges and international bodies like the U.S. SEC. He is recognized in the Who’s Who Legal: Investigations for forensic accounting expertise. Professional Engagements : Forensic Accounting Expert, Trace Excellence Speaker at Singapore-China compliance forums Advisor on third-party audits and anti-bribery reviews Benjamin’s academic and industry roles emphasize translating forensic accounting principles into actionable strategies for businesses navigating complex regulatory landscapes.

Alex Elkjær VasegaardView profile

Researcher

• Operations Research
• Multi-Criteria Decision Analysis
• Artificial Intelligence
• +3 more

Alex Elkjær Vasegaard is a Postdoctoral Researcher in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science, specializing in human-AI decision systems for satellite and drone operations. His work focuses on making space technologies accessible for societal impact in smaller nations like Denmark. Education Ph.D. in Operations Research (2020-2023) MSc in Mathematics and Economics (Operations Research) (2017-2019) BSc in Mathematics and Economics (2014-2017) Research Focus Alex develops preference-based optimization frameworks to align autonomous systems with human decision-makers, particularly for disaster response and smart city operations . His core expertise spans multi-criteria decision analysis (MCDM), satellite scheduling algorithms, and UAV coordination, with strong contributions to UN Sustainable Development Goals through accessible Earth observation technologies. Publication Trends His 2024-2025 work shows intense focus on satellite image acquisition scheduling and drone detection systems , integrating MCDM with novel path algorithms. Key themes include human preference modeling in Earth observation, AI-driven oncology solutions, and open-source frameworks like EOSpython, bridging operations research with real-world societal applications. Awards ICRCA 2021 Best presentation award (2021) Rejselegat for matematikere travel grant (2019) Collaborations and Outreach He actively collaborates across engineering and computer science domains, evidenced by 6 similar research profiles in scheduling and UAV systems. His media feature 'BESLUTNINGER FRA HIMLEN' (2024) reached 6 Mendeley readers and 4 X users, highlighting public engagement with space technology decision-making. Research Group Alex operates within Aalborg University's Section of Applied Systems Research (Artificial Intelligence for Operations Research), developing practical tools for satellite mission planning and drone surveillance systems with societal impact.

• Medical Imaging
• Computer Vision
• Deep Learning
• +4 more

Dr Abdullah Nazib is a Research Fellow at Queensland University of Technology (QUT) in the Faculty of Engineering, School of Electrical Engineering & Robotics. His research focuses on applying advanced computational techniques to medical imaging challenges, particularly in cancer detection and treatment planning. His research interests include: Medical image registration and segmentation Deep learning architectures for healthcare applications 3D medical image analysis Prostate cancer detection and grading Organ segmentation for radiation therapy Radiomics-based diagnostic systems Analysis of Dr Nazib's publication history reveals a clear evolution from general computer vision research toward specialized medical applications. His recent work demonstrates significant contributions to uncertainty quantification in medical image segmentation and multimodal learning approaches for diagnostic imaging. The 2024 publications particularly highlight his focus on clinically relevant applications with immediate potential impact on cancer diagnosis and treatment planning. His collaborative research network includes strong partnerships with Dr Fookes, Dr Perrin, and other members of QUT's biomedical imaging group, reflecting an interdisciplinary approach that bridges computer science, engineering, and clinical medicine to develop practical AI solutions for healthcare challenges.

• Optomechanics
• Quantum Optics
• Photonics
• +3 more

Raphaël Van Laer is currently an Assistant Professor at the Department of Microtechnology and Nanoscience (MC2) at Chalmers University of Technology, Sweden. His research focuses on optomechanics, quantum photonics, and integrated photonics, with applications in quantum transducers, Brillouin scattering, and nanoscale optical systems. Previously, he held postdoctoral positions at Stanford University (USA) and Ghent University-imec (Belgium), and conducted a BAEF Fellowship at Cornell University (USA). Education: PhD in Information Technology (Ghent University-imec, 2012–2016), BAEF Fellowship at Cornell University (2011). His work bridges quantum optics and nanophotonics, with recent contributions in quantum transducers for microwave-to-optical conversion, piezoelectric optomechanical systems, and lithium niobate-based integrated photonics. Key themes include room-temperature quantum control, ultra-low-loss photonic circuits, and cryogenic optomechanical interfaces. Publications highlight advancements in quantum transducer design, optomechanical crystals, and Brillouin scattering mechanisms, reflecting a focus on practical quantum systems and scalable photonic platforms. His research has applications in quantum communication, sensing, and hybrid quantum networks.

János KertészView profile

Professor

• Network Science
• Computational Social Science
• Econophysics
• +7 more

János Kertész is a Professor and Head of the Department of Network and Data Science at the Central European University (CEU), currently based in Vienna. He is also an elected member of the Hungarian Academy of Sciences. Previously, he held professorial and research positions at the Budapest University of Technology and Economics and the Hungarian Academy of Sciences, where he served as Director of the Institute of Physics. His research lies at the intersection of statistical physics and social sciences, with major contributions to network science, econophysics, computational social science, and algorithmic fairness. He investigates systemic risks in economic networks, opinion dynamics in algorithmically biased environments, poverty mapping using big data, and the role of automation in online extremism. The most recent articles highlight a strong trend in applying complex systems methodologies to real-world socioeconomic problems—particularly through large-scale network analysis, multimodal data integration, and policy-relevant modeling in inequality, supply chains, and digital fairness. His collaborative work spans institutions like the Complexity Science Hub (CSH) in Vienna. Elected member of the Hungarian Academy of Sciences He has advised numerous researchers and contributed to major interdisciplinary grants, particularly in complexity science and data-driven social science. His leadership in organizing NetSci 2023, the largest network science conference, underscores his role in fostering global scientific collaboration. He is central to projects involving high-resolution poverty mapping, economic systemic risk, and ethical AI applications. He is actively involved with the Complexity Science Hub (CSH), where CEU is a partner institution, and contributes to interdisciplinary teams working on economic modeling, social network analysis, and crisis preparedness using granular supply chain and VAT data.

• Environmental Engineering
• Water Pollution Control
• Water Quality Monitoring
• +3 more

Dr. Roza Allabashi is a leading academic at the University of Natural Resources and Life Sciences, Vienna (BOKU) within the Institute of Sanitary Engineering and Water Pollution Control . Her work focuses on water quality assessment , heavy metal pollution mitigation , and sustainable urban drainage systems , with significant contributions to non-targeted chemical analysis and greywater reuse . Key projects include "Capacity for Water Quality Management in Albania" (2024–2028) and "System for European Water Monitoring" (2001–2004). She has received funding from agencies such as the Austrian Research Promotion Agency (FFG) and the European Commission . Her research integrates environmental chemistry and hydrological engineering to address challenges in urban water management and pollutant removal . Recent collaborations emphasize autonomous robotic monitoring systems and non-targeted mass spectrometry for identifying contaminants in natural and engineered water systems. Dr. Allabashi's publications span stormwater treatment , greywater irrigation , and riverbank filtration processes , reflecting her expertise in water pollution control and sustainable infrastructure . She has presented findings at conferences like the IAHR World Congress and SETAC Europe Annual Meeting .