Find Academic Supervisors

Wolfgang OertelView profile

Professor

• Computer Graphics
• Computer Vision
• Scientific Visualization
• +5 more

Wolfgang Oertel serves as Professor of Computer Graphics at Dresden University of Applied Sciences (HTW Dresden) within the Faculty of Informatics and Mathematics. He has held significant leadership roles including Dean of Studies (2009-2012) and Dean (2012-2015) for his faculty, and coordinated international university partnerships (2007-2011). His academic career spans over four decades with appointments at TU Dresden (1984-1998), FhG/IVI Dresden (1999-2004), and TUBA Freiberg (visiting positions in 1998-1999 and 2004-2005). Professor Oertel's research spans computer graphics, computer vision, virtual reality, and artificial intelligence with emphasis on practical applications. His work integrates knowledge representation with visual systems, focusing on spatiotemporal modeling, scientific-technological visualization, and CAD-oriented IT systems. Current projects include the Saxony5 Co-Creation Lab for Artificial Intelligence (2021) and systems for image data processing in scientific infrastructure (SEVVBWG series 2020-2023). His publication trends reveal consistent evolution from database/knowledge processing (1980s-1990s) to computer vision applications (2000s) and sophisticated AI-integrated visualization systems (2010s-present). Recent work focuses on heterogeneous traffic data visualization, knowledge-based graphic object synthesis, and conceptual frameworks bridging AI with virtual reality. Key technical domains include VRML/X3D, OpenCV, VTK, and specialized hardware integration. Award for integrated data processing (Integrata AG Tübingen, 1995) Oertel actively supervises graduate works and leads multiple research projects including Saxony5CCLKI (2021), SEVVBWG2 (2023), and GWMSV traffic simulation (2021). His laboratory maintains extensive equipment including stereo displays, 3D cameras, microscopes, VR headsets, and robotic platforms supporting research in virtual intelligent environments. Current teaching includes Computer Graphics I/II, CAD systems, and Computer Vision courses across multiple informatics programs.

• Digital Soil Mapping
• Machine Learning
• Agricultural Robotics
• +4 more

Eloi Carvalho Ribeiro is a Researcher at Wageningen University & Research, specializing in Digital Soil Mapping and Machine Learning applications in soil science. His work focuses on global soil data harmonization, agricultural robotics, and spatial uncertainty quantification through projects like SoilGrids and the World Soil Information Service (WoSIS) . Key collaborations include ISRIC and Wageningen Environmental Research Primary research areas: Soil Science, Geospatial Analysis, Agricultural Technology Research Trends : Recent publications highlight his contributions to global soil mapping , unmanned vehicle path planning , and soil-vegetation modeling . His work bridges environmental data systems with advanced computational methods. Scientific Contributions : Developed SoilGrids 2.0 for quantified spatial uncertainty in soil data Created standardized soil profile datasets Advanced obstacle avoidance algorithms for agricultural drones

Guoray CaiView profile

Associate Professor

• Geographic Information Systems
• Human-Computer Interaction
• Geocollaboration
• +3 more

Guoray Cai is an Associate Professor in the College of Information Sciences and Technology at Pennsylvania State University, where he researches human-centered geospatial systems with applications in crisis management and democratic processes. Research Expertise His core work integrates: Geographic Information Systems (GIS) and spatial data infrastructure Human-Computer Interaction (HCI) for multimodal interfaces Geocollaboration frameworks for group decision-making Visual analytics in crisis response scenarios Spoken dialogue systems for geospatial databases He pioneers natural interaction techniques using large displays and conversational interfaces to enhance spatial reasoning in collaborative environments. Publication Evolution His 15-year publication trajectory (2005-2023) shows consistent innovation in human-GIS interaction, evolving from foundational crisis management geocollaboration (2005-2006) through spatial annotation for public deliberation (2007-2009) to contemporary work on point cloud semantics (2023) and topic model curation (2018). Recurring themes include situation awareness, multimodal interfaces, and democratic decision-making support, with methodological emphasis on Bayesian networks, visual analytics, and natural language processing.

• Data Management and Analysis
• Machine Learning
• Knowledge Representation
• +5 more

Assoc Prof John Wang is an Associate Professor at the School of Information and Communication Technology , Griffith University. His work spans Data Management and Analysis (graph, text, spatial-temporal data), Machine Learning , Knowledge Representation , and Algorithm Design . He has published extensively in top venues like ACM Transactions on Database Systems , IEEE Transactions on Knowledge and Data Engineering , and conferences including SIGMOD , VLDB , and ICDE . Appointments : Member of the Institute for Integrated and Intelligent Systems (2003–2024). Education : PhD in Computer Science (Griffith University, 2003). His research has led to real-world implementations in Graph Data Processing , including techniques for shortest distance queries and temporal reachability. He actively contributes to program committees of conferences like VLDB and ICDE , and his funded projects include "Developing Soil Knowledge..." (ACIAR, 2024–2029) and "Harnessing Social Media..." (QLD Inspector-General, 2020). Recent publications focus on Graph Indexing , Causality Detection , and Spatial-temporal Querying . Examples include optimizing road network queries (2023), 2-hop labeling for shortest paths (2021), and geospatial skyline algorithms (2020). Co-authored works appear in venues such as IEEE Transactions on Knowledge and Data Engineering and Neurocomputing . Consultancy : Delivered commercial research on pandemic-related data analytics (2020). Supervision : Mentored 15+ PhD/Master’s students, including projects on deep learning, data leakage prevention, and XML querying. Teaching : Directed programs like Graduate Certificate in Information Technology and Diploma of Information Technology .

Jan-Jo ChenView profile

Professor

• Machine Learning
• Deep Learning
• Quantum Computing
• +7 more

Jan-Jo Chen is a Professor in the Department of Mathematics & Computer Science at Chicago State University, part of the College of Arts & Sciences. His research spans computer science, data analytics, and quantum information, with a strong focus on machine learning, deep learning, and high-performance computing. His research interests include machine learning, deep learning, quantum computing, supercomputing, concurrent and parallel processing, database security, and educational technology. He has developed models for predictive analytics in wealth distribution, facial recognition, curriculum recommendation, and forest cover classification, often leveraging decision trees and neural networks. The recent publications highlight a consistent trend in applying machine learning to diverse domains such as economics, education, and environmental science. His work increasingly emphasizes quantum computing education and interdisciplinary convergence, particularly through NSF-funded initiatives. Topics like hyperparameter tuning, multivariate analysis, and state-dependent modeling reflect a deep engagement with both theoretical and applied aspects of data science. Scientific Awards: No specific awards are listed in the provided text. Dr. Chen has been actively involved in securing and managing research grants, particularly from the National Science Foundation (NSF). He has served as Co-Principal Investigator on projects like PRELS and ExpandQISE NxGenDQ, and as Senior Personnel on the NSF Engines proposal. He also led the CSER Coordinator role at Chicago State University, supporting STEM education and research. While student advisees are not named, his involvement in undergraduate research and curriculum development suggests active mentorship. He is associated with the Center for STEM Education & Research (CSER) at Chicago State University and contributes to national initiatives in quantum education (QuSTEAM, ExpandQISE) and regional innovation (NSF Engines). These collaborations indicate leadership in convergent STEM education and workforce development.

• Urban Climatology
• Climate-Sensitive Urban Planning and Design
• Human Thermal Comfort
• +5 more

Kevin Ka-Lun Lau is a Senior Lecturer at Luleå University of Technology’s Department of Civil, Environmental and Natural Resources Engineering. His work bridges urban climatology with climate-sensitive urban planning and design, focusing on the interplay between built environments and urban climates, particularly human thermal comfort in outdoor settings. He actively explores how urban design impacts health and well-being while integrating climate resilience strategies. Research Interests : Urban climatology, microclimate studies, thermal comfort, climate-sensitive urban design, urban health, and sustainable development. Key Projects : Principal investigator for government and private sector initiatives; member of WMO Expert Networks. Lau’s recent publications analyze climate change impacts on building energy resilience, thermal comfort metrics, and microclimate data selection. His work emphasizes passive design strategies to mitigate cooling demand in high-rise buildings and systematic literature reviews on building vertical extensions. These studies often involve cross-country collaborations, especially in Sweden, Cyprus, and Hong Kong. Scientific Affiliations : WMO Expert Network Commission for Observation, Infrastructure and Information Systems Commission for Weather, Climate, Water and Related Environmental Services Lau’s interdisciplinary research translates scientific insights into practical urban planning guidance, addressing both immediate and long-term climate challenges. He utilizes advanced modeling tools like Max Planck Institute’s Earth System Model and focuses on evidence-based policy for heat-health warnings and urban sustainability.

Alar AstoverView profile

Professor

• Soil Science
• Agronomy
• Carbon Sequestration
• +4 more

Alar Astover is a Tenured Professor of Soil Science and Head of the Chair at the Estonian University of Life Sciences, affiliated with the Institute of Agricultural and Environmental Sciences. His research focuses on sustainable soil management, carbon sequestration, and nutrient cycling in agricultural systems. Research interests span soil fertility, microbial ecology, and climate-smart agriculture. Key areas include: Biochar applications for waste valorization Soil organic carbon dynamics under long-term fertilization Arbuscular mycorrhizal biodiversity in agroecosystems Emission mitigation strategies for greenhouse gases EU-wide harmonization of soil management policies His recent publications (2020-2025) demonstrate strong emphasis on: Field-scale carbon/nitrogen budgeting Remediation of soil contaminants Eco-hydrological modeling Policy-relevant soil health indicators Climate resilience in temperate agriculture

Edoardo RotiglianoView profile

Professor

• Physical Geography
• Geomorphology
• Applied Geomorphology
• +5 more

Edoardo Rotigliano is a Full Professor in the Department of Earth and Marine Sciences at the University of Palermo, Italy. He teaches Physical Geography, GIS, and Applied Geomorphology courses with office hours held at the main campus (Via Archirafi, 22) and Trapani teaching center for Biodiversity and Technological Innovation students. His contact includes phone (+3909123864649) and email (edoardo.rotigliano@unipa.it). His research spans physical geography and geomorphology with emphasis on landslide susceptibility modeling, erosion processes, and natural hazard assessment. Key interests include geomorphometry, GIS analysis, hydrogeological phenomena, and coastal vulnerability. He employs advanced geospatial techniques and field-based approaches to analyze hazards in Mediterranean environments, particularly Sicily and Central America. Recent publications (2023-2025) reveal strong focus on landslide deposit prediction, inventory completeness validation, and multi-typology susceptibility modeling. His work integrates stochastic approaches, high-precision simulations, and field data to address geomorphological hazards across diverse landscapes from volcanic calderas to coastal zones. Notable case studies include El Salvador's Ilopango Caldera and Sicilian river basins. Scientific contributions include: Development of spatial validation protocols for landslide susceptibility maps Integration of preparatory and triggering factors in coseismic hazard models Analysis of scale effects in geomorphological modeling Experimental pedagogy for geoscience education As faculty member, he supervises student research and participates in geoscience education initiatives. His work demonstrates strong interdisciplinary collaboration between geomorphology, hydrology, and environmental engineering. Current projects focus on refining hazard prediction models through advanced sampling strategies and multi-source data integration for Mediterranean and Central American contexts.

Arthur J. Lembo, Jr.View profile

Professor

• Geographic Information Systems (GIS)
• Geo-processing and spatial analysis
• Enterprise GIS implementation
• +7 more

Arthur J. Lembo, Jr. is Professor of Geography and Geoscience in the Henson School of Science and Technology at Salisbury University, where he has taught since 2007. He also serves as Technical Director of the Eastern Shore Regional GIS Cooperative, leading regional geospatial initiatives and enterprise GIS projects. Education B.S. Geography, State University of New York, College at Oneonta (1987) M.A. Geography, State University of New York at Buffalo (1989) Ph.D. Environmental Resource Engineering, State University of New York, College of Environmental Science and Forestry (1997) Research Interests Dr. Lembo’s research centers on the innovative application of advanced information technologies to geographic problem-solving. His work explores high-performance GIS through massively-parallel algorithms executed on consumer-grade gaming GPUs, enterprise-scale spatial database design, and the integration of smartphone sensors into real-time mapping workflows. Additional emphases include spatial decision support for post-disaster infrastructure assessment, crime analysis, and sustainable local food systems. Selected Research Sponsors National Science Foundation (multiple awards) W. K. Kellogg Foundation Maryland Governor’s Office of Crime Control and Prevention Maryland Department of Natural Resources USDA and NASA Scientific Awards 2018 State of Maryland Board of Regents Award for Teaching Excellence 2006 SUNY Chancellor’s Award for Excellence in Teaching 2005 NACTA Teacher of Merit 2003 CALS Faculty Innovation in Teaching Award, Cornell University 2002 & 2003 Master Teacher recognition, University of Mississippi & NASA Teaching & Outreach Dr. Lembo teaches core GIS programming and spatial-analysis courses (GEOG 204, 415, 419, 435, 619) and maintains an active extension program that provides GIS solutions for municipalities, first responders, and environmental NGOs such as The Nature Conservancy and the City of Havre de Grace. Lab & Teams He directs the Eastern Shore Regional GIS Cooperative, a university-based center that supports multi-agency geospatial data sharing and application development across Maryland’s Eastern Shore.

Holger MeyerView profile

Professor

• Databases
• Digital Libraries
• Information Retrieval
• +5 more

Dr. Holger Meyer is a faculty member at the University of Rostock's Faculty of Computer Science and Electrical Engineering, specifically in the Institute of Computer Science. He is based at the Konrad Zuse House on Albert-Einstein-Straße 22, Room 332, and can be reached at phone number 0381-498 7597 or via email at hme@informatik.uni-rostock.de. Dr. Meyer teaches a variety of database-related courses including Database Application Programming (Bachelor), Databases for Users (Bachelor), Databases III (Master), and Digital Libraries and Multimedia Information Retrieval (Master). He also supervises projects under KSWS/Project/NEidI. His research focuses on database systems, digital libraries, information retrieval, data science, and XML database technologies. Dr. Meyer has made significant contributions to the development of digital archive systems, particularly through the Hydra.PowerGraph System, which enables building digital archives with directed and typed hypergraphs. His work also extends to applying crowdsourcing techniques in cultural heritage projects like the Mecklenburg Field Name Archive and developing SQL-based approaches for machine learning and signal processing tasks. Dr. Meyer's recent publications (2017-2019) demonstrate a strong emphasis on practical applications of database technologies across diverse domains including environmental monitoring (particulate matter analysis), automotive engineering, digital humanities, and historical geography. His work bridges theoretical database concepts with real-world applications, particularly through SQL-based implementations of machine learning operations and signal processing techniques. Throughout his career, Dr. Meyer has collaborated extensively with colleagues at the University of Rostock, particularly with Professor Andreas Heuer, Meike Klettke, and other researchers in the database and information systems group. These collaborations have resulted in numerous publications in prestigious venues including Datenbank-Spektrum, LNI proceedings, and international conferences.

Emin KuğuView profile

Assistant Professor

• Computer Science
• Information Security
• Cryptology
• +7 more

Emin Kuğu is an Assistant Professor in the Department of Software Engineering at TED University, Faculty of Engineering, since May 2020. He previously served as Deputy Head of Department and Head of the Computer Engineering Department at the Turkish Air Force Academy (2014-2017) and held part-time roles at other institutions. Education : PhD in Electrical and Computer Engineering (Old Dominion University, 2011), MSc in Software Engineering (Turkish Air Force Academy, 2005), BSc in Computer Science Engineering (Istanbul University, 1996). Research Interests : Emin's work spans Information Security , Cryptology , Software Security , Computer Networks , Communication Protocols , Databases , and Fuzzy Logic . His recent studies focus on machine learning for healthcare , deep learning in phishing detection , and location spoofing vulnerabilities in e-scooters. He has contributed to UAV path planning , intrusion detection , and remote sensing applications . Scientific Awards : Recipient of the Gene Newman Award for Excellence in M&S Research (Old Dominion University, 2009). Service and Leadership : Emin has led editorial roles at the Journal of Aeronautics and Space Technologies , served on competition juries (e.g., Turkish Exporters' Assembly InovaTİM Competition), and organized international conferences like the 36th Computer Engineering Department Heads Meeting (2022) and the 6th International Conference on Computer Science and Engineering (2021).

Alain PlanteView profile

Professor

• Soil Science
• Soil Organic Matter Cycling
• Global Carbon Cycle
• +5 more

Professor Alain Plante holds a faculty position at the University of Pennsylvania within the Department of Earth & Environmental Science under the College of Liberal and Professional Studies. Since joining in 2007, he has served as the Undergraduate Chair and Faculty Director of the University Scholars program at the Center for Undergraduate Research and Fellowships (CURF). BSc in Environmental Engineering (University of Guelph) MSc in Soil Science (University of Guelph) PhD in Soil Science (University of Alberta) His research focuses on soil organic matter cycling and global carbon dynamics , using integrative biological, chemical, and physical methods. He investigates carbon stabilization mechanisms across diverse environments including Mongolia, Puerto Rico, Iceland, and the Susquehanna River Basin. Key themes include: Organo-mineral associations Microbial carbon processing Climate change mitigation through soil management Urban soil sustainability Agroforestry carbon balance Recent publications highlight applications of thermal analysis , machine learning , and isotopic databases to understand soil carbon persistence. His work spans field measurements in tropical forests, coal mine soils, and fjord systems. Scientific recognition includes the Francis E. Clark Distinguished Lectureship (2019). He teaches foundational courses in environmental science, soil science, biogeochemistry, and sustainability, with international field seminars in Iceland.

• Global Anesthesia
• Surgical Outcomes in Resource-Limited Settings
• Critical Care in Low-Resource Environments
• +6 more

Stephen Ttendo serves as a Clinical Assistant Professor in the Department of Anesthesia within the Faculty of Health Sciences at McMaster University. His scholarly work is primarily focused on surgical care and anesthesia services in resource-limited settings, particularly at Mbarara Regional Referral Hospital in Uganda. Dr. Ttendo has established himself as a key researcher in global surgery, with particular expertise in surgical outcomes measurement, anesthesia education, and healthcare systems strengthening in low-resource environments. Dr. Ttendo's research interests center on improving surgical and anesthesia care in resource-constrained settings. His work addresses critical gaps in surgical safety, healthcare quality measurement, and capacity building for surgical services in low-income countries. He has conducted extensive research on surgical outcomes databases, maternal and child health, infectious disease in surgical settings, and anesthesia education models suitable for resource-limited environments. His research program demonstrates a strong commitment to developing practical, context-appropriate solutions for improving surgical care delivery in challenging settings. Analysis of Dr. Ttendo's publication record reveals a consistent focus on surgical care in low-resource settings, with particular emphasis on Uganda. His research spans multiple domains including anesthesia safety, surgical outcomes measurement, infectious disease in surgical contexts, maternal health, and pediatric surgery. A notable trend is his work on developing and validating surgical outcomes databases in resource-limited settings, which addresses a critical gap in global surgery research. His more recent publications show increasing focus on pandemic response (particularly related to Covid-19), pediatric surgical care, and the economic implications of surgical services. Dr. Ttendo has collaborated extensively with researchers from McMaster University and international partners. His co-author network includes researchers from various disciplines focused on global health and surgical care. While specific grant information isn't detailed in the provided materials, his research program appears to be supported through partnerships with organizations focused on global surgery and health systems strengthening in low-income countries.

• Information Systems
• Decision Support Systems
• Smart Cities
• +5 more

Professor Virgil Chichernea at Romanian-American University is a distinguished academic with over two decades of contributions to information systems, smart city technologies, and educational digitalization. His career spans theoretical research and practical implementations of decision support systems, collaborative learning platforms, and database optimization techniques. Research Focus: Smart Cities & Urban Informatics Specialization: Decision Support Systems (DSS) Technical Expertise: Database Management, Collaborative Software Domain: Information Society & Educational Technology His recent work analyzes the transition from e-learning to full societal digitalization (2021) and explores campus information systems in smart city educational environments (2016). Earlier research (2009-2013) developed the WebUniv collaborative education platform and optimized database storage/retrieval mechanisms. Key publication trends show interdisciplinary work combining: Urban planning with ICT infrastructure Computer science with educational pedagogy Business systems analysis with public policy

Nicolás C. CiarloView profile

Researcher

• maritime archaeology
• underwater archaeology
• naval architecture
• +3 more

Nicolás C. Ciarlo is a tenured Researcher at the Institute of Archaeology, School of Philosophy & Letters, University of Buenos Aires , and a Ramón y Cajal Fellow at the University of Cádiz. With a PhD in Archaeology (UBA, 2016), his career spans maritime, underwater, and historical archaeology, focusing on technological innovations in naval architecture from the 18th to 19th centuries. Key affiliations: CONICET (2017–present), UCA (2018–2019), School of Philosophy & Letters, UBA Research areas: Shipwreck analysis, archaeometallurgy, metallurgical provenance, cultural heritage management Research interests center on technological change dynamics in maritime contexts. His work integrates historical, archaeological, and archaeometric approaches to study ship construction, ordnance, and ballast materials. Notable projects include the Deltebre I (1813) shipwreck, Roman anchor stock provenance, and 19th-century Chilean naval ballasting practices. Recent articles show a focus on metallurgical analysis of ship fastenings, bronze gunfounding techniques, and conflict archaeology. Collaborations span institutions in Mexico, Spain, Chile, and the U.S. , with methodological emphasis on neutron texture analysis, lead isotope tracing, and geometric morphometrics. Scientific awards include: SAS Early Career Research Support Award (2021) Ramón y Cajal Fellowship (2024) ACUA award (2013) SAS award (2013) As an educator, he has mentored 2 PhD, 9 MA, and 4 BA students , co-chaired symposiums, and developed the Nautical Archaeology Digital Library framework for open-access data sharing. His grants include projects from CONICET, UBA, AEI, and the Institute of Nautical Archaeology.