Find Academic Supervisors

• Coastal Geology
• Geomorphology
• Sedimentology
• +3 more

Christopher Seminack is an Associate Professor at the Institute for Environmental & Spatial Analysis (IESA) within the University of North Georgia. His expertise lies in coastal geology, geomorphology, sedimentology, and stratigraphy, with a focus on barrier island systems and tidal inlet dynamics. He teaches courses including GEOL 4110K - Principles of Sedimentology and Stratigraphy , GEOL 3300K/GEOG 3300K - Process Geomorphology , and foundational geology topics. Education: Ph.D. in Environmental Science and Policy from George Mason University (2016), M.S. in Geology from Temple University (2011), and B.A. in Geology from La Salle University (2007) Dr. Seminack's research analyzes the geologic framework of coastal environments, particularly storm impacts on barrier islands and tidal inlet dynamics. He employs techniques such as aerial photography analysis, remote sensing, geophysical surveying, sediment coring, and geochronology. His work also intersects with climate change and sea-level change studies. Recent publications highlight his focus on wave-dominated tidal inlets, Holocene barrier-island geology, and GPR imaging of biogenic structures. His professional experience includes a Postdoctoral Scholar role with the National Park Service and George Mason University (2016), and prior field geologist work at Gould Environmental (2007-2009). He contributes to environmental education and outreach initiatives at IESA, aligning with his interest in ancient coastal environments preserved in the rock record.

Asier MonevaView profile

Researcher

• Criminology
• Cybercrime
• Environmental Criminology
• +4 more

Dr. Asier Moneva is a Postdoctoral Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) and The Hague University of Applied Sciences , specializing in cybercrime , environmental criminology , and situational crime prevention . His work focuses on offender decision-making in cyberspace, cybercrime victimization patterns, and the application of data science to crime analysis. Education : PhD in Criminology (2020), Master in Crime Analysis and Prevention (cum laude, 2017) from Miguel Hernández University. Current Role : Analyzing cybercrime patterns through environmental criminology frameworks and data science methodologies. Moneva's research examines longitudinal offending patterns in cybercrime, particularly through analyses of web defacement archives ( Zone-H data) and hacker behavior. His studies reveal extreme concentration of cybercrime among chronic offenders, with 2.9% of hackers responsible for 68.5% of defacements. He also investigates repeat victimization dynamics in digital environments and the effectiveness of warning banners as deterrents. Recent publications focus on ransomware payment decisions by SMEs, stolen data markets on Telegram, and the intersection of familial relationships with cybercrime involvement. His work combines quasi-experimental designs , crime scripting , and conjunctive analysis to develop prevention strategies.

• Cartography
• Geospatial Analysis
• Urban Planning
• +4 more

Prof. Liqiu Meng serves as Chair of Cartography and Visual Analytics at the Technical University of Munich (TUM). He specializes in advanced geospatial research, digital cartography, and human-technology collaboration frameworks. Current Faculty at TUM Chair of Cartography and Visual Analytics Research Focus: His work bridges cartographic theory with cutting-edge technology, covering topics like 3D urban modeling, AI ethics visualization, geovisual analytics, and spatiotemporal data interpretation. Urban Morphology Analysis AI Ethics Cartography Geovisual Analytics 3D City Data Integration Location-Based Service Design Publications: Recent works (2025-2024) demonstrate expertise in explainable AI for urban analysis, multi-agent systems for geospatial interaction, and advanced spatial modeling techniques. Contact: liqiu.meng@tum.de | contact.lfk@ed.tum.de

Jung Hyup KimView profile

Associate Professor

• Ergonomics
• Human Factors
• Human-Computer Interaction
• +12 more

Jung Hyup Kim is an Associate Professor in the Department of Industrial and Systems Engineering at the University of Missouri, College of Engineering. His research integrates human factors, ergonomics, and augmented reality to enhance engineering education and healthcare systems. He leads the Human Factors Lab and is actively involved in curriculum innovation through immersive technologies. Education: PhD, Pennsylvania State University BS, Mississippi State University Dr. Kim’s research centers on ergonomics, human-computer interaction, and real-time human performance modeling . He investigates how eye-tracking, motion analysis, and augmented reality can be used to assess workload, situation awareness, and learning effectiveness in real-world environments. His work bridges engineering systems with cognitive science, particularly in educational and healthcare contexts. His recent research, reflected in 15 reconstructed articles, demonstrates a strong trend toward augmented reality in engineering education , with focus areas including real-time motion tracking, eye-tracking for attention monitoring, metacognition in virtual instruction, and posture-based physical demand assessment. These efforts aim to transform traditional lab experiences into interactive, data-driven learning environments. Scientific Awards: No awards explicitly mentioned in the text. Dr. Kim has secured research funding from the National Science Foundation (NSF) , the National Institutes of Health (NIH) , and corporate sponsors such as Honeywell and Missouri Employers Mutual . He advises students like RJ Morrison and Madeline Easley, who have presented at national conferences and won research competitions. His lab develops AR-based teaching modules that assess student engagement and comprehension through biometric and behavioral data. His lab, the Human Factors Lab ( humanfactorslab.net ), is developing a new AR-integrated facility in Lafferre Hall with stations for interactive learning, real-time feedback, and performance testing. The lab aims to create scalable AR systems applicable across Mizzou Engineering disciplines.

Luigi AldieriView profile

Professor

• Applied Econometrics
• Innovation Economics
• Environmental Economics
• +7 more

Luigi Aldieri is a Full Professor in the Department of Economic and Statistical Sciences (DISES) at the University of Salerno , Italy. His research spans applied econometrics, innovation economics, environmental sustainability, and knowledge spillovers. He holds a PhD from the Solvay Brussels School of Economics and Management at Université Libre de Bruxelles. Research Interests: His work focuses on the economic impact of innovation, particularly green and environmental technologies, knowledge diffusion, R&D spillovers, energy efficiency, and their effects on employment, productivity, and well-being. He investigates how innovation interacts with migration, education, and institutional quality across regions and countries. Recent Research Trends: His recent publications (2023–2025) emphasize the digital economy, regulatory quality, circular economy, migration-innovation nexus, food security under SDGs, and energy resilience. He employs advanced econometric models such as panel data, spatial analysis, and stochastic frontier analysis, often using international datasets from OECD, EU, and global firms. Scientific Editorial Roles: Associate Editor, Journal of Environmental Management (Environmental Policy, Economics, Social Science section) Associate Editor, Environment, Development and Sustainability Associate Editor, Energy Engineering Editorial Board Member, Sustainability , Energies , Clean Technologies , International Journal of Knowledge-Based Development , and others Guest Editor for special issues in MDPI Energies and Sustainability on climate change, green growth, and total environment Advising and Grants: While no direct PhD advisees are listed, Aldieri leads a robust research network, frequently collaborating with scholars from Russia, Finland, Belgium, and Italy. He is affiliated with the International Centre for Innovation, Technology and Education Studies (iCite) at ULB. His work is supported by extensive co-authorship networks and institutional research projects focused on innovation, sustainability, and economic development. Laboratories and Research Groups: He is part of the research ecosystem at the University of Salerno’s DISES department and collaborates with international research groups. His work is associated with empirical research in innovation economics and environmental policy, often leveraging large datasets and cross-country comparisons.

Andrew CarterView profile

Researcher

• Wildlife Conservation
• Endangered Species
• Population Ecology
• +7 more

Andrew Carter is a researcher at Charles Sturt University, actively contributing to wildlife conservation and ecological research. His work is centered on population ecology, biodiversity monitoring, and the management of invasive species, particularly in arid and semi-arid Australian landscapes. His research focuses on the conservation of endangered species through innovative monitoring techniques such as camera-trapping and spatial analysis. Key themes include the behavior and management of invasive predators like the European red fox and feral cat, as well as the long-term success of reintroducing threatened mammals into predator-free fenced reserves. The recent publications reflect a strong trend in large-scale ecological synthesis, predator ecology, and practical conservation interventions. His work integrates field data with technological tools to inform management strategies and policy. Andrew collaborates widely across Australian ecological research networks, contributing to major multi-author studies on continental-scale wildlife monitoring. His research has significant implications for conservation practice, particularly in quantifying the effectiveness of eradication programs and habitat restoration.

Wilfried HaertyView profile

Researcher

• Evolutionary Genomics
• Comparative Genomics
• Functional Non-Coding Sequences
• +7 more

Wilfried Haerty is a Senior Group Leader in Evolutionary Genomics at the University of East Anglia (UEA), affiliated with the School of Biological Sciences and the Norwich Institute for Healthy Aging. He also holds an external position as Senior Group Leader at the Earlham Institute since December 2015, reflecting his significant role in genomics research. Institution: University of East Anglia School: School of Biological Sciences External Affiliation: Earlham Institute Position: Senior Group Leader His academic background includes a Doctor of Science from Université de Paris, awarded in 2004, based on research into reproductive isolation in Drosophila melanogaster . Dr. Haerty's research focuses on evolutionary and comparative genomics, particularly the characterization of functional non-coding sequences and long non-coding RNAs in mammalian and human genomes. He investigates evolutionary constraints and selection pressures using population-level sequence variation data. His work integrates computational and genomic approaches to understand genome evolution across species. The recent trends in his publications highlight a strong focus on genome evolution, including hybridization in cichlid fishes, NUMT dynamics in mammals, fission yeast phylogenetics, avian developmental genomics, and evolutionary behavioral responses. These reflect interdisciplinary research spanning molecular evolution, genomics, developmental biology, and ecology. No scientific awards are explicitly mentioned in the provided text. There is no mention of student advising or research grants in the available information. However, his leadership role as a Group Leader suggests involvement in mentoring researchers and managing research projects. His collaborations span multiple institutions and countries, as indicated by co-authorship on recent studies. Dr. Haerty is associated with research teams at both the University of East Anglia and the Earlham Institute, particularly within genomics and evolutionary biology groups. His work is part of broader collaborative networks in evolutionary genomics and healthy aging, including the Norwich Institute for Healthy Aging.

Samuel LederView profile

Researcher

• Robotics
• Architectural Design
• Computational Design
• +5 more

Samuel Leder is a doctoral researcher at the Institute of Computational Design and Construction (ICD) under the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on the integration of robotics and architectural design, particularly in developing distributed robotic systems for timber construction. He has been actively involved in research projects such as RP 19-1 – Robotic Kinematic System for Parallel Construction and RP 19-2 – Co-Design for Distributed Cooperative Multi-Robot Systems . Additionally, he serves on the Equal Opportunity Commission at ICD. Bachelor of Design in Architecture (summa cum laude), Washington University in St. Louis Bachelor of Applied Science in Systems Science and Engineering (magna cum laude), Washington University in St. Louis MSc in Architecture via the Integrative Technologies and Architectural Design Research (ITECH) program, University of Stuttgart Samuel’s research explores the synergies between agent-based modeling , robotic systems , and architectural design . His work aims to create minimal robotic machines capable of constructing complex spatial assemblies, particularly with timber structures . He investigates the co-design of robots and the structures they build, emphasizing modular systems and kinematic behaviors . Recent publications highlight advancements in digital twins , adaptive assembly , and human-robot collaboration for timber construction. The 15 most recent articles reveal trends in collective robotic construction , agent-based modeling , and material-robot interaction . These works emphasize timber fabrication , modular systems , and interactive simulation for large-scale construction tasks. Key sub-fields include adaptive assembly , cyber-physical systems , kinematic control , and human-guided robotics . Scientific Awards: German Academic Exchange Service (DAAD) Award for Outstanding Achievement Deutschlandstipendium Samuel’s research is conducted within the ICD at University of Stuttgart , where he collaborates on the Wood Building Systems for Distributed Robotics associated project. His work bridges architecture , robotics , and computational design , aiming to redefine on-site construction methodologies through innovative robotic systems.

Alexander M. PetersenView profile

Associate Professor

• Science of Science
• Complex Systems
• Computational Social Science
• +7 more

Alexander M. Petersen is an Associate Professor and Graduate Chair in the Management of Complex Systems (MCS) department and the Ernest and Julio Gallo Management of Innovation Sustainability and Technology (MIST) graduate group at the University of California Merced (UCM). He is affiliated with the School of Engineering and serves as a key faculty member driving research and academic programs in complex systems and innovation management. His educational background includes a Ph.D. (2011) and M.A. (2008) from Boston University, and a B.S. (2003) in physics and mathematics from the University of Utah. Prior to joining UC Merced, he was a tenure-track faculty member at the IMT Institute for Advanced Studies Lucca in Italy. Petersen's research focuses on the evolution of large multiscale socio-economic systems by applying concepts and methods from complex systems, statistical physics, management, and innovation science. His work spans Science of Science, Computational Social Science, Complex Systems, Quantitative Finance, and Sports Analytics. He has made significant contributions to understanding research collaboration networks, innovation dynamics, convergence science, and the impact of socio-economic shocks on various systems. His publication record demonstrates a clear trend toward increasingly complex interdisciplinary work, particularly in convergence science and network analysis. His most recent publications (2024-2025) focus on global science structure, disruption metrics, national park systems, and the impact of crises on economic behavior. These works often integrate multiple disciplinary perspectives and leverage large-scale data analysis. NSF award #1738163 for research on convergence science Petersen has advised numerous graduate students, including current PhD student Andrea del Pilar Montaño Ramirez and former students Felber J. Arroyave Bermudez (PhD in Environmental Systems) and Dr. Dong Yang (MCS Postdoctoral Scholar). His research has been supported by competitive grants and has resulted in publications in high-impact journals including Nature Communications, Science Advances, and Research Policy. He is actively involved in developing new academic programs, including upcoming B.A. majors in Management of Innovation, Sustainability & Technology (2025) and Data Science & Analytics (Fall 2024). His lab focuses on complex systems analysis, with current projects examining university digital media networks, disruption metrics in science, and the integration of regional innovation systems. The research group maintains an active presence in the science of science community, regularly presenting at conferences like the Science of Team Science conference (INSciTS).

Sophie NowickiView profile

Professor

• Glaciology
• Ice-sheet modeling
• Climate modeling
• +3 more

Sophie Nowicki is an Empire Innovation Professor at the University at Buffalo's RENEW Institute, Department of Earth Sciences within the College of Arts and Sciences. She serves as Director of the Center for Geological and Climate Hazards. Her research focuses on ice sheet and sea level dynamics, using a combination of applied mathematics, remote sensing observations, and numerical modeling to understand how ice sheets interact with the global climate system. Empire Innovation Professor, University at Buffalo Director, Center for Geological and Climate Hazards Member of UB RENEW Institute Department of Earth Sciences, College of Arts and Sciences Dr. Nowicki's research interests center on glaciology, ice-sheet modeling, climate modeling, and sea level change. She studies how ice sheets interact with the global climate system and affect sea level change using a spectrum of models from idealized to large-scale continental ice sheet models. Her work is integral to climate models that provide forcing for ice sheet models, particularly through the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). She teaches courses including Introduction to Computational Earth Science, Environmental Remote Sensing, and various graduate research courses. Her recent publications reveal a strong focus on Antarctic and Greenland ice sheet modeling, sea level rise projections, and the development of advanced modeling frameworks. The research spans from fundamental glaciological processes to large-scale climate impacts, with a particular emphasis on quantifying uncertainties in ice sheet contributions to sea level rise. Her work frequently appears in top journals including Nature, The Cryosphere, and Geophysical Research Letters, and she has made significant contributions to the IPCC Sixth Assessment Report. Empire Innovation Professor recognition Lead contributor to IPCC AR6 Working Group I Principal Investigator for ISMIP6 (Ice Sheet Model Intercomparison Project) Dr. Nowicki actively mentors graduate students and postdoctoral researchers, with current advisees working on various aspects of ice sheet dynamics and sea level change. Her research is supported by multiple grants from NASA, NSF, and other agencies focused on improving our understanding and projections of ice sheet behavior in a warming climate. She leads the development of critical tools like the Cryosphere Model Comparison Tool (CmCt) and has been instrumental in establishing community standards for ice sheet modeling. She is involved with several research groups and initiatives including the Ice Sheet & Sea Level Lab at UB, which focuses on understanding how ice sheets will evolve in a warming world and what this means for future sea levels. Her team combines observational data with sophisticated modeling approaches to address key questions about ice-ocean and ice-atmosphere interactions that drive ice sheet changes.

Nanda Kaji BudhathokiView profile

Researcher

• Environmental Economics
• Climate Change Adaptation
• Behavioural Economics
• +2 more

Dr. Nanda Kaji Budhathoki is a Postdoctoral Research Fellow at the School of the Environment , University of Queensland, with expertise in environmental economics, climate change adaptation, and behavioral economics. He completed his PhD in Agriculture and Environmental Economics from Charles Darwin University in 2020. Education : PhD in Agriculture and Environmental Economics (2020), Charles Darwin University Research Interests : Focus on climate risk mitigation for agricultural communities, behavioral aspects of climate adaptation, socio-economic impacts of extreme weather events, and economic modeling for private land conservation. His work integrates environmental, economic, and social data to develop sustainable solutions. Publication Trends : Recent work explores climate risk management in agriculture (2025-2020), with specific focus on index-based insurance, farmer risk perception, and adaptation strategies. Earlier publications examine rural development economics (2017-2010), including microcredit impacts and crop innovation adoption.

• Cognitive Neuroscience
• Decision Making
• Noradrenergic System
• +3 more

Professor Sander Nieuwenhuis (Leiden University) specializes in Cognitive Neuroscience of Decision Making through behavioral, EEG, and pharmacological approaches. His work bridges prefrontal cortex function and noradrenergic system mechanisms in human cognition. Studied cognitive psychology (Groningen) and earned PhD (Amsterdam, 2001) International experience: Cambridge University (visiting research), Princeton University (postdoc) Research focuses on noradrenaline's role in attention, decision-making, and cognitive control via: Locus coeruleus-norepinephrine system dynamics Phasic vs. tonic alertness effects Cognitive task performance under neuromodulator deficiency Neuroprotective pathways in Alzheimer's models Recent publications analyze DBH deficiency (Jepma et al., 2011) and attentional blink mechanisms (Nieuwenhuis et al., 2005). His Temporal Attention Lab integrates fMRI, genetics, and computational modeling . Teaching leadership includes: Chair of Research Master Program Committee Coordinator of Scientific Writing courses

Navid BayatiView profile

Associate Professor

• Renewable/Hybrid Power Systems
• Protection and Transient Analysis of Power Grids
• Microgrids and Active Energy Networks
• +5 more

Navid Bayati is an Associate Professor at the University of Southern Denmark, affiliated with the Institute of Mechanical and Electrical Engineering and the Centre for Industrial Electronics. He leads the Control and Protection of Smart Grids (CAP-SG) group and focuses on renewable/hybrid power systems, microgrid protection, and grid code compliance. Education: Ph.D. in Power Systems & Microgrid Protection (2020, Aalborg University); M.Sc. in Power Systems (2017, Amirkabir University of Technology) His research spans renewable energy integration , transient analysis , grid interconnection , and digital twin applications . Recent work includes machine learning for carbon emission prediction, fault localization in DC microgrids, and supercapacitor resilience in hybrid systems. Collaborations include projects like IEA Wind Task 50 and RePoSys , addressing grid renovation, life cycle assessment, and digital twin resilience. His teaching portfolio covers power electronics , energy management , and microgrid control .

Pouya BashivanView profile

Assistant Professor

• Computational Neuroscience
• Machine Learning
• Artificial Neural Networks
• +6 more

Pouya Bashivan is an Assistant Professor in the Department of Physiology at McGill University's Faculty of Medicine. His research focuses on developing computational models to explain and regulate neural responses during visual tasks requiring memory, combining machine learning, neuroscience, and cognitive science. Education : Ph.D. in Computer Engineering (2016), Postdocs in Machine Learning (2020) and Computational Neuroscience (2016-2020) His lab investigates: Topographical neural networks for visual cortex simulation Massively-multitask models for prefrontal cortex Saccade-driven visual exploration models Predictive hippocampus models for episodic memory Recent publications explore adversarial robustness, memory-augmented networks, and brain-state decoding. Current projects emphasize causal models, brain-AI alignment, and translating computational neuroscience into therapeutic applications. The lab is located in the McIntyre Medical Sciences Building, Room 1117, Montreal, Quebec.

Liadh KellyView profile

Assistant Professor

• Applied Artificial Intelligence
• Intelligent Search
• Ubiquitous Computing
• +3 more

Liadh Kelly is an Assistant Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. She supervises PhD students in applied artificial intelligence, focusing on intelligent search, ubiquitous computing, and multimodal information access. She is affiliated with the ADAPT SFI Research Centre, SFI Centre for Research Training in Foundations of Data Science, and Human Health Institute. BSc in Computer Science MSc (Research) in Computer Science PhD in Computer Science Her research explores context-sensitive retrieval and evaluation methodology in AI-driven systems. Key areas include ubiquitous computing for personal data analysis, deep learning classification for mental wellness indicators, and multimodal lifelogging integration. Recent publications focus on urban mental wellbeing classification , contextual cue analysis , and AI-driven health search systems . Articles address smart city applications , consumer health search , and cross-lingual medical retrieval . Professional roles include Doctoral Consortium Chair at ECIR 2023 and Programme Committee member for SIGIR and ICWSM conferences. She leads grants for 4-year PhD studentships with stipend and fee coverage.