Find Academic Supervisors

• Digital Reading
• Information Science
• Library Science
• +3 more

Raquel Gómez-Díaz is Professor at the University of Salamanca's Department of Library Science and Documentation within the Faculty of Translation and Documentation. She holds qualifications including a Diploma in Library Science and Documentation, Graduate degree in Documentation, and PhD from the University of Salamanca. She teaches across multiple programs including the Bachelor's in Information and Documentation, Master's in Digital Information Systems, Master's in Textual Heritage and Digital Humanities, and Doctoral program in the Knowledge Society. Her research explores digital reading technologies (devices, applications, social reading), information sources , and library science . Key focus areas include reading behavior analysis, digital literacy development, educational technology implementation, and knowledge dissemination frameworks. Her work bridges library sciences with digital humanities and educational innovation. Publications demonstrate strong emphasis on digital reading ecosystems , educational technology evaluation , and scholarly communication . Research consistently examines technology adoption in educational contexts, digital resource management, and reading community development across academic, public, and youth settings. She has supervised 11 doctoral students to completion with research spanning library science, digital humanities, and educational technology. Since joining the faculty in June 2013, she has completed three recognized research periods (sexenios), the most recent in 2023.

Gemma CatolinoView profile

Assistant Professor

• Software Engineering
• Empirical Software Engineering
• Human Factors in Software Development
• +10 more

Gemma Catolino is an Assistant Professor at the Department of Computer Science, University of Salerno, and affiliated with the Software Engineering (SeSa) Lab. She has also served as an Assistant Professor at Tilburg University and Eindhoven University of Technology through the Jheronimus Academy of Data Science from September 2022 to December 2023, and previously as a Postdoctoral Researcher at Delft University of Technology and Tilburg/Eindhoven institutions. PhD in Computer Science, University of Salerno (2020), supervised by Prof. Filomena Ferrucci MSc in Management and Information Technology, University of Salerno (2016, magna cum laude) BSc in Computer Science, University of Molise (2014) Her research centers on empirical software engineering, focusing on both technical and social aspects affecting software development. Key areas include code smells, defect prediction, testability, changeability, and the emerging concept of “Community Smells”—social dysfunctions in developer teams. She investigates how human factors, team diversity (especially gender), and developer experience influence software quality and maintenance effort, often using mining software repositories and machine learning techniques. Her recent publications span high-impact journals and conferences such as IEEE TSE, EMSE, JSS, ICSE, and ICSME, with a strong trend toward integrating social and technical metrics for just-in-time defect prediction in mobile applications, analyzing community dynamics, and applying software quality metrics to cybersecurity contexts like dark web analysis. She has also contributed to MLOps and serverless computing. She has received several honors including a DEI research grant (2020), Best Technical Paper at BENEVOL 2019, first and second place in ACM Student Research Competitions (2018, 2017), and the Best Master Thesis award from the Italian Software Metrics Association (2017). Gemma Catolino has been actively engaged in academic service as a referee for top journals like IEEE TSE, EMSE, JSS, and IST, guest editor for special issues, and program/organizing committee member for major conferences including ICSE, MSR, SANER, and MobileSoft, where she served as Program Co-Chair in 2022. She has also contributed as a teaching assistant, lecturer, and course coordinator in machine learning and software engineering courses. She leads and contributes to research projects involving international collaborations, particularly with researchers such as Prof. Filomena Ferrucci, Prof. Andy Zaidman, Prof. Willem-Jam van den Heuvel, and Prof. Alexander Serebrenik. Her work bridges empirical software engineering with practical tool development and socio-technical analysis, positioning her at the forefront of modern software engineering research.

• Computational Immunology
• Structural Biology
• Molecular Docking
• +3 more

Dinler A. Antunes is an Assistant Professor of Computational Biology at the Department of Biology and Biochemistry of the University of Houston, where he is also a member of the Center for Nuclear Receptors and Cell Signaling (CNRCS). His research focuses on computational immunology and structural modeling of protein-ligand complexes that play key roles in cellular immunity. Dr. Antunes received his educational training at the Federal University of Rio Grande do Sul (UFRGS) in Brazil, earning a Bachelor's degree in Biomedicine in 2008, a Master's degree in Genetics and Molecular Biology in 2011, and a Doctorate in 2014. He later completed postdoctoral studies at Rice University's Computer Science Department with a fellowship from the Computational Cancer Biology Training Program (CCBTP), collaborating with MD Anderson Cancer Center. His research interests center on developing computational methods for structural modeling of peptide-MHC complexes, with applications in personalized cancer immunotherapy and vaccine development. Dr. Antunes has pioneered several computational tools including DockTope, DINC, APE-Gen, and HLA-Arena, which enable researchers to model and analyze peptide-HLA complexes for immunotherapy applications. His work addresses the challenge of protein flexibility in molecular docking, particularly for large ligands like peptides binding to MHC receptors. Analysis of Dr. Antunes' recent publications (2023-2025) reveals a strong focus on computational immunology, with particular emphasis on peptide-MHC structural modeling, T-cell cross-reactivity prediction, and applications in cancer immunotherapy. His work spans structural biology, machine learning applications in immunology, and translational research connecting computational predictions with clinical applications, particularly in acute myeloid leukemia and rheumatoid arthritis. Dr. Antunes has received several scientific awards and recognitions: SCI Gold Oral Presentation Award at the 6th Annual SCI Summer Research Colloquium 2020 Immuno-Oncology Young Investigators' Forum (IOYIF) PhD Postdoc Awards Selected to represent the CCBTP program during the 30th Annual Keck Research Conference Fellowship from the Computational Cancer Biology Training Program Dr. Antunes is actively recruiting PhD students and postdoctoral researchers to join his team at the University of Houston. His laboratory develops computational tools for structural immunology, with current projects including HLA-Arena (a customizable environment for peptide-HLA complex analysis), DINC-COVID (a webserver for ensemble docking with SARS-CoV-2 proteins), and CrossTope (a structural database for cross-reactivity assessment).

• Cardiac Imaging
• Magnetic Resonance Imaging
• Computed Tomography
• +6 more

Ronald M Peshock is a Professor of Radiology and Internal Medicine at the University of Texas Southwestern Medical Center (UTSW), with a career spanning over four decades since completing medical school at UT Southwestern in 1976. His academic journey includes Internal Medicine training at Parkland Health & Hospital System (internship 1977, residency 1979) followed by a Cardiology fellowship (1982). Dr. Peshock's research focuses on cardiac imaging, particularly using MRI and CT technologies to assess cardiovascular risk and disease. His work heavily involves the Dallas Heart Study, examining left ventricular hypertrophy, atherosclerosis, and cardiovascular risk factors across diverse populations. In recent years, he has become a prominent researcher in artificial intelligence applications for radiology, with numerous publications on AI implementation in clinical workflows, diagnostic accuracy improvement, and integration of AI into radiology training programs. His publication record shows consistent productivity from 1979 through 2025, with 218 total publications according to available records. Recent work demonstrates particular expertise in cardiac CT, pulmonary embolism imaging, and developing quantitative imaging biomarkers for cardiovascular disease. His Scopus profile indicates an h-index of 67 with 14,914 citations, reflecting significant scholarly impact in his fields. Dr. Peshock maintains active clinical and research affiliations with Parkland Health & Hospital System and serves as a key researcher in the Dallas Heart Study. His work examining ethnic differences in cardiovascular disease, left ventricular hypertrophy patterns, and aortic stiffness has contributed significantly to cardiovascular imaging literature.

Henry KangView profile

Associate Professor

• Computer Graphics
• Data Visualization
• Computer Animation
• +3 more

Henry Kang is an Associate Professor in the Department of Computer Science at the University of Missouri–St. Louis, College of Arts and Sciences. His expertise spans computer graphics, data visualization, and computational art, with extensive experience in full-stack web development and programming frameworks. Education: Ph.D. in Computer Science, Korea Advanced Institute of Science and Technology (2002) Research Interests: Kang's work focuses on computer graphics, non-photorealistic rendering, and data visualization. Key projects include coherence-enhancing filtering, stereoscopic 3D line drawing, and emotion-driven image recoloring. He integrates machine learning and GPU computing for real-time scene navigation and artistic effects. Publication Trends: His research emphasizes texture filtering, computational art, and perceptual modeling. Recent work includes Gaussian image binarization (2021) and coherence-enhancing GPU filtering (2018), while earlier contributions explore stereoscopic depth perception (2013) and directional stippling (2011). Contact: Email: kangh@umsl.edu Phone: (314) 516-5841 Office: 318 ESH

Jiangxiao QiuView profile

Associate Professor

• Landscape Ecology
• Ecosystem Services
• Global Change Ecology
• +4 more

Dr. Jiangxiao Qiu is an Associate Professor of Landscape Ecology at the University of Florida's School of Forest, Fisheries, and Geomatics Sciences, based at the Fort Lauderdale Research and Education Center. His research integrates landscape ecology, ecosystem services, and sustainability science to address global environmental challenges. He employs interdisciplinary approaches including computational modeling, remote sensing, and field experiments to study human-nature interactions across scales. Research Focus: Dr. Qiu investigates how climate change, land-use intensification, and biological invasions alter ecosystems and biodiversity. Key themes include: Landscape sustainability science and social-ecological systems Ecosystem service tradeoffs in agricultural and urban landscapes Global change impacts on biodiversity-ecosystem function relationships Development of geospatial tools for environmental decision-making Recent publications (2024-2025) demonstrate strong emphasis on: Urban ecosystem services and greenspace multifunctionality Post-disturbance forest recovery using remote sensing Soil nutrient dynamics in managed grasslands Integration of cultural ecosystem services in landscape planning Scalable frameworks for biomass and biodiversity monitoring Dr. Qiu actively recruits graduate students through his Landscape Ecology and Sustainability Science Lab, focusing on transformative solutions for conservation and policy challenges. Current research explores urban-rural sustainability linkages, phosphorus cycling in subtropical systems, and climate-resilient landscape design.

Jeff LupkerView profile

Assistant Professor

• Artificial Intelligence and Music
• Machine Learning for Music Composition
• Electroacoustic Music
• +3 more

Jeff Lupker serves as an Assistant Professor at Western University's Don Wright Faculty of Music, specializing in the intersection of artificial intelligence and musical creativity. His work develops computational tools that augment human composition through deep learning algorithms and interactive systems, positioning him at the forefront of AI-driven music innovation. Lupker completed his entire academic training at Western University: PhD in Composition (2021) Master of Music in Composition (2016) Bachelor of Music in Theory and Composition (2014) His research program focuses on artificial intelligence applications for musical creation, including deep learning models for algorithmic composition, sentiment analysis of social media as compositional input, and mobile-based spatial audio systems. Lupker investigates how transformer architectures generate musical structures and how real-time web applications enable collaborative performance, emphasizing practical tools that combat writer's block while expanding composers' stylistic range through AI-assisted creativity in electroacoustic and popular music contexts. Analysis of his 2021 publications reveals a cohesive research trajectory leveraging cutting-edge AI methodologies to solve creative challenges in music. The works demonstrate how deep learning transforms composition through systems like Score-Transformer and explore mood-pattern recognition using machine learning, collectively establishing foundational work for human-AI creative collaboration that bridges music theory with big data analytics. As founder of Staccato, Lupker leads the development of an AI co-writing platform that functions as an intelligent creative partner. The system generates lyrical content from keywords and suggests musical continuations, helping composers overcome creative blocks while expanding artistic possibilities across diverse genres through accessible, user-friendly interfaces.

Peter McintyreView profile

Associate Professor

• Aquatic Conservation Ecology
• Freshwater Ecosystems
• Biodiversity Conservation
• +7 more

Peter Mcintyre serves as an Associate Professor in the Department of Ecology and Evolutionary Biology at Cornell University's College of Arts and Sciences. He holds the Dwight Webster Sesquicentennial Faculty Fellowship and is affiliated with the Institute for African Development as a Core Faculty member and the Southeast Asia Program as a Faculty Associate. His educational background includes a B.A. in Biology from Harvard University (1998) and a Ph.D. in Ecology & Evolutionary Biology from Cornell University (2006). Mcintyre is an aquatic conservation ecologist whose research focuses on developing management approaches that balance human interests with protecting biodiversity. His work spans multiple continents, with field studies conducted in New York, the Great Lakes, East Africa, Southeast Asia, and Hawaii. His academic interests encompass Biogeochemistry and Ecosystem Science, Community Ecology and Population Biology, Evolutionary Patterns and Processes, Organismal Biology, and Sustainability, Environment and Conservation. Key research themes include fisheries, food webs, climate change, ecological stoichiometry, global biodiversity, conservation planning, river networks, and life history and migration. His recent publications reveal a consistent focus on freshwater ecosystem conservation, with particular attention to global patterns of biodiversity, climate change impacts on aquatic systems, fisheries management, and conservation planning. His work increasingly integrates molecular techniques like eDNA with traditional ecological methods, while maintaining a strong emphasis on practical conservation applications across diverse global contexts from the Amazon to Hawaiian streams. Dwight Webster Sesquicentennial Faculty Fellow Mcintyre leads the McIntyre Lab, which addresses ecology and conservation in rivers and lakes worldwide, with special focus on the organism-ecosystem interface. His lab studies how animals affect ecosystem productivity and nutrient dynamics, with particular emphasis on freshwater fisheries in the Adirondack Mountains and developing nations. His students and postdocs have received significant recognition including NSERC graduate research fellowships and Doctoral Dissertation Improvement Grants. The lab's work spans multiple major research projects including the Adirondack Fisheries Research Program, Lake Tanganyika Ecosystem Project, Great Lakes connectivity initiatives, and conservation of Native Stream Gobies in the Hawaiian Archipelago. The McIntyre Lab maintains active research sites across the globe, from the Adirondacks to Lake Tanganyika in East Africa, with particular strength in studying the connections between organismal biology and ecosystem processes in freshwater environments. Their work consistently bridges fundamental ecological questions with practical conservation applications, making significant contributions to both scientific understanding and on-the-ground management of freshwater resources.

Giles RegerView profile

Senior Lecturer

• Automated Theorem Proving
• Runtime Verification
• Program Verification
• +7 more

Giles Reger is a Senior Lecturer in the Formal Methods Group of the School of Computer Science at the University of Manchester. He completed his BA in Computer Science at the University of Cambridge in 2009, followed by an MSc in Advanced Computer Science at the University of Manchester in 2010 (awarded Highest Achiever of the Year), and earned his PhD from the University of Manchester in 2014 with a thesis titled "Automata based monitoring and mining of execution traces". His research spans several key areas within computer science: Automated Theorem Proving (first-order) Saturation-based techniques Reasoning with theories and quantifiers Finite Model finding Collaborative and Concurrent proof attempts Runtime Monitoring/Verification Temporal specification languages Specification Mining/Inference Dr. Reger leads multiple EPSRC-funded research projects including SCorCH (Secure Code for Capability Hardware), CAPS (Collaborative Architectures for Proof Search), and QuTie (reasoning with Quantifiers and Theories). His work on the Vampire theorem prover and MarQ monitoring tool demonstrates his bridge between theoretical computer science and practical applications. Recent publications show strong focus on runtime verification, theorem proving, and program analysis with applications to security and performance monitoring. Notable awards: Highest Achiever of the Year Award for MSc studies Dr. Reger collaborates extensively with institutions including the University of Oxford, Arm, Amazon Web Services, and CERN (CMS Experiment). As Manchester lead on the SCorCH project, he develops formal analysis tools for security-aware hardware chips. His work on the VyPR framework enables developers to analyze Python program performance through temporal specification languages and monitoring algorithms.

• E-Learning
• Knowledge Management
• Digital Communities
• +1 more

Marcus Birkenkrahe serves as an active Professor at the Berlin School of Economics and Law within the Faculty of Business Administration and Department of Business Informatics. His academic work bridges information technology with business management, focusing on practical applications in corporate and educational environments across Germany and Europe. His research spans E-Learning methodologies, Knowledge Management frameworks, Digital Community dynamics, and Leadership strategies. He pioneered virtual teaching systems and organizational learning tools, notably developing systemic constellations for change management and lean IT solutions for enterprise optimization. His work consistently explores technology-driven transformations in both academic and multinational business contexts. Publication analysis from 2000-2010 reveals dominant themes in knowledge management evolution within the new economy, organizational learning systems, and digital community governance. His research trajectory shows progression from theoretical foundations (2000-2001) toward practical applications in multinational corporations (2002-2004) and innovative educational models (2006-2010), with recurring emphasis on systemic approaches to complex organizational challenges. His distinguished awards include: Best article in the UA Business Review (2002) Fellow of the Royal Society of Arts (RSA) London (1998) Best campus-wide information site on the WWW (1994) Best online course offering on the WWW (1994) Professor Birkenkrahe has significantly advanced digital education infrastructure and knowledge-sharing platforms, though specific current advising roles and grant details aren't documented in available sources. His early 1990s web innovations established foundational models for online course delivery and campus information systems that received international recognition.

• Learning Analytics
• Educational Technology
• Open Source Educational Tools
• +3 more

Dr. Arham Muslim serves as a Professor in the Department of Computer Science at the School of Electrical Engineering and Computer Science (SEECs), National University of Sciences and Technology (NUST), Pakistan. He leads the Learning Technologies research group (Informatik 9), directing development of open-source learning analytics infrastructure with emphasis on user-centered design and academic ecosystem integration. His research program focuses on Learning Analytics and Educational Technology , specializing in open learning analytics platforms like OpenLAP. Key contributions include modular framework architectures, rule-based indicator systems, and data modeling standards that enable personalized learning experiences through academic network visualization and adaptive feedback mechanisms. His work bridges software engineering principles with pedagogical requirements in higher education contexts. Publications from 2013-2018 reveal consistent advancement in learning analytics ecosystems, with increasing emphasis on interoperability standards, open-source sustainability, and ethical implementation frameworks. The research trajectory demonstrates progression from foundational data modeling to sophisticated user-centered platform development, addressing critical gaps in educational data utilization. As head of the Learning Technologies research group at SEECs, he drives innovation in educational data systems through collaborative development of OpenLAP and related tools, positioning NUST as a significant contributor to global learning analytics research infrastructure.

• Systematic Review Automation
• Machine Learning
• Natural Language Processing
• +7 more

Lena Schmidt is a Research Fellow at the University College London (UCL) Social Research Institute , specializing in methods development for systematic reviews , evidence maps , and living evidence syntheses . She leverages machine learning and neural networks to optimize data mining and classification during the screening process. Her work emphasizes automation tools for large-scale literature analysis and addressing reproducibility in evaluations. MSc Applied Health Sciences , Furtwangen University (2018) NIHR Systematic Reviews Fellowship (2018–2020) Predoctoral Fellowship in Living Reviews and Automation Her research focuses on enhancing systematic review efficiency through NLP , AI , and data engineering , particularly for grey literature in health research. Recent publications address pandemic impacts on mental health , automation in evidence synthesis , and knowledge graph development for toxicology. Scientific awards include the NIHR Fellowship and Intelligent and Adaptive Systems Certification from the University of Sussex. She actively collaborates with organizations like the Campbell Collaboration and ICASR , co-organizing automation workshops and contributing to methodological frameworks.

Paul JohannessonView profile

Professor

• Conceptual Modeling
• Enterprise Modeling
• Information Systems
• +6 more

Paul Johannesson is a Professor at the Department of Computer and Systems Science , Stockholm University. He leads the PRECIS research group (Process Requirements Enterprise Capability Information Systems Modeling), focusing on theories and methods for integrated organizational and IT solutions. Education: BSc in Mathematics (Stockholm University), PhD in Computer Science (1993, Stockholm University). Research Interests: Conceptual modeling, enterprise modeling, process integration, design science, and ontological analysis, with applications in healthcare systems, IoT security, and digital innovation. His work bridges linguistic instruments with information systems design. Recent Article Trends: Focus on healthcare interoperability, IoT security, and ontological frameworks. Topics include drug-drug interaction modeling, decentralized identity management, and policy-based decision-making systems. Projects: Current work includes intelligent IoT security solutions and data-driven services for elderly care (DISRA, DISAL). Past projects examine EU knowledge systems, IT in healthcare, and process modeling education. Teaching: Courses on enterprise modeling and business models at bachelor and master levels. Thesis supervision at the Department of Computer and Systems Sciences. Labs/Teams: Leads the PRECIS research group, which integrates conceptual modeling with IT strategy and organizational design.

• Research Software Engineering
• Software Architecture
• Grid Computing
• +3 more

Stephen Crouch serves as a Software Architect within the School of Electronics and Computer Science at the University of Southampton, where he actively contributes to the Web and Internet Science research group and the Southampton Research Software Group (SRSG). His role bridges technical software development with academic research infrastructure, focusing on creating robust solutions that enhance research capabilities across scientific domains while emphasizing sustainability and reproducibility in software practices. His research spans Research Software Engineering, Software Architecture, Grid Computing, Data Management, Reproducible Research, and High Performance Computing. Crouch has been instrumental in major projects including IGE (funded by the European Union's FP7 program) which developed integrated educational frameworks for research software engineering, and UNIVERSE-HPC (EPSRC-funded) addressing educational strategies in high-performance computing. His work consistently targets the intersection of software engineering principles and scientific research needs, particularly in creating maintainable systems for evolving research workflows. Analysis of his publication trajectory from 2007-2025 reveals a clear evolution from foundational grid computing research toward contemporary challenges in research software sustainability and reproducibility. Early work focused on grid interoperability and job scheduling, while recent contributions emphasize institutional strategies for research software engineering, data evolution pathways, and sustainable software practices. This progression demonstrates his adaptation to shifting research computing paradigms while maintaining core expertise in software architecture for scientific applications. Crouch has secured significant funding from the European Union and EPSRC, supporting his work in research software infrastructure. Within the Southampton Research Software Group, he plays a key role in developing institutional capacity for research software engineering, providing expertise that enables researchers across disciplines to implement reliable, efficient computational solutions. His collaborative approach is evident through extensive co-authorship with national and international research software engineering initiatives.

BAYRAM ÇETİNView profile

Professor

• Measurement and Evaluation in Education
• Educational Statistics
• Research Methods in Education
• +3 more

Professor BAYRAM ÇETİN is affiliated with Gaziantep University , where he serves in the Faculty of Education within the Department of Educational Sciences , specializing in Measurement and Evaluation in Education . His academic career spans multiple institutions, including Gazi University and Sakarya University. Doctorate in Measurement and Evaluation in Education (2005, Hacettepe University) Master’s in Measurement and Evaluation in Education (2002, Hacettepe University) Licence in Classroom Teaching (1993, Çukurova University) His research focuses on educational measurement , psychometric modeling , statistical analysis in education , and assessment equity . He has developed numerous scales and rubrics for educational evaluation, emphasizing SOLO taxonomy , CHAID analysis , and generalizability theory . Professor Çetin has authored 12 books/chapters, including Research Methods in Education and Measurement and Evaluation in Education , and published over 65 peer-reviewed articles. His recent work explores online formative assessment , ADHD diagnostics , and cross-cultural PISA data . He has supervised 25+ theses, including studies on cyberbullying , metacognition , and test development . He has held administrative roles such as Director of Research and Application Center (2022) and Dean (2020). His projects include international collaborations like Erasmus+ KA201 and national grants on virtual reality in medical education .