Find Academic Supervisors

• Educational Technology
• Mathematics Education
• E-Learning Security
• +3 more

Bilyana Stoyanova Stoyanova serves as faculty at Technical University of Gabrovo, Bulgaria, where she maintains office 1337 with contact email bilyana_zheleva@abv.bg. Her professional activities focus on educational technology implementation within mathematics instruction, evidenced by participation in six university research projects and eleven scientific publications between 2012-2019. She specializes in bridging traditional pedagogy with digital solutions for technical education contexts. Her research centers on e-learning security frameworks, computational mathematics applications, and ICT integration in applied mathematics courses. Key investigations include comparative analyses of traditional versus technology-enhanced teaching methods, with particular emphasis on online exam integrity in MOOCs and secure file handling in virtual learning environments. Her work demonstrates consistent focus on practical implementation challenges within Bulgarian higher education institutions. Publication trends reveal progressive specialization from foundational digital library applications (2013) toward advanced security protocols for online assessments (2015) and computational optimization tools (2017-2019). The majority of her output appears in national Bulgarian conferences, with select international collaborations in Ukraine, Macedonia, and India, reflecting regional academic networks focused on educational technology adaptation. She actively contributed to six research initiatives at TU Gabrovo including EU-funded projects like 'Development and implementation of virtual technologies for sustainable distance learning' (2012, financed by OP 'Development of Human Resources' and European Social Fund). Her project roles consistently involve practical implementation aspects across modern educational technologies (2014-2015), triangulation methodologies (2012-2013), and identification systems (2011), demonstrating hands-on technical engagement rather than theoretical research.

Coen De RooverView profile

Professor

• static analysis
• dynamic analysis
• mining software repositories
• +7 more

Coen De Roover is a Professor at the Vrije Universiteit Brussel (VUB) since October 2015, affiliated with the Software Languages Lab (SOFT) where he leads the Code Analysis and ManiPulation (CAMP) subgroup. He serves as programme director for the bachelor's program in Computer Science since the 2019-2020 academic year. His research focuses on the design of program analyses and their application to software quality problems , with particular expertise in static and dynamic analysis techniques. Key research areas include: Soft verification of contracts and incremental abstract interpretation Fine-grained change analysis of individual commits Mining for change patterns across multiple commits Vulnerability detection in infrastructure code (particularly Ansible) Concolic testing and resilience analysis Recent publication trends show increasing focus on infrastructure as code security, WebAssembly analysis, and modular abstract interpretation frameworks. His work bridges theoretical program analysis with practical software engineering applications, often validated through empirical studies on open-source projects. As an active contributor to the software engineering community, he has served on program committees for major conferences including ASE, ECOOP, ICSE, and SPLASH. His leadership roles include steering committee positions for GPCE and SANER, and program co-chair roles for International Conference on Program Comprehension. De Roover directs the CAMP research subgroup which has published over 120 peer-reviewed articles. The group develops practical analysis tools while advancing theoretical foundations of program analysis, with recent work focusing on infrastructure code security and WebAssembly analysis.

• Cultural Heritage Digital Reconstruction
• 3D Modeling and Visualization
• Semantic Web Technologies
• +3 more

Igor Bajena serves as a Researcher at the Institute of Architecture, Mainz University of Applied Sciences (AI MAINZ), where he has conducted research since 2018 while simultaneously pursuing his PhD at the University of Bologna. His work bridges architectural history, digital humanities, and semantic technologies, with a focus on creating sustainable infrastructure for documenting hypothetical 3D reconstructions of lost cultural heritage. He earned his MSc in Architecture from Warsaw University of Technology in 2019. His doctoral research (2021-2024) addressed the full lifecycle of digital 3D assets, culminating in the development of the OntPreHer3D ontology—a semantic framework based on CIDOC CRM for documenting reconstruction methodologies, sources, and uncertainties. This work established protocols for interoperable publication of 3D heritage models. Bajena specializes in reconstructing lost synagogue architecture and medieval SchUM cities (Speyer, Worms, Mainz), employing additive manufacturing (SLA technology) for tangible dissemination of research. His methodology emphasizes ontological approaches to ensure transparency in reconstruction processes, semantic data modeling for contextual integrity, and virtual research environments that integrate 3D models with historical documentation. He actively develops standards for FAIR-compliant 3D heritage data. He leads significant projects including the DFG 3D Viewer (funded by the German Research Foundation) and CoVHer (an Erasmus+ Capacity Building project), which established a pan-European semantic repository for architectural visualization. These initiatives involve collaboration with the University of Bologna, Warsaw University of Technology, Universitat Autònoma de Barcelona, and University of Porto. As co-founder of AI MAINZ's Digital Urban History Lab, Bajena advances computational methods for historical urban analysis. Since 2022, he has taught digital reconstruction techniques as a guest tutor at Hochschule Mainz, Warsaw University of Technology, and the University of Bologna, disseminating his documentation frameworks to emerging heritage professionals.

• Bayesian Networks
• Probabilistic Graphical Models
• Machine Learning
• +5 more

Antonio Salmerón Cerdán is a Professor in the Mathematics Department at the University of Almería, where he has established himself as a leading researcher in probabilistic artificial intelligence and Bayesian networks. With over 25 years of academic experience, he leads the 'Análisis de datos' research group and serves as Principal Investigator for multiple nationally and internationally funded projects, including the current 'Hacia una Inteligencia Artificial Probabilística Confiable (TOPAI-UAL)' project (2023-2026). His research expertise spans theoretical and applied aspects of probabilistic graphical models, with particular focus on Bayesian networks, causal inference, and their applications across diverse domains. His work demonstrates a consistent trajectory from foundational theoretical contributions to practical implementations in software engineering, genomics, sports analytics, and trustworthy autonomous systems. Professor Salmerón's publication portfolio reveals a strong emphasis on methodological innovations in probabilistic reasoning, with recent work exploring divide-and-conquer approaches for causal computation, noise-robust classification methods, and the integration of observational and randomized data sources. His research shows increasing interdisciplinary reach, connecting computer science methodologies with applications in plant genomics, software maintenance, and healthcare. Journal Publications: 105 articles in high-impact venues including Ecological Informatics (Q1), International Journal of Approximate Reasoning (Q2), and ACM Transactions Research Funding: Principal Investigator for 9 major projects since 2001 totaling over €800,000 in funding Thesis Supervision: Director of 7 doctoral theses on probabilistic graphical models and their applications Metrics: h-index 22 (Web of Science), i10 index 59 His research program demonstrates a unique combination of theoretical rigor in probabilistic reasoning with practical applications across diverse scientific domains, positioning him at the forefront of reliable probabilistic AI development.

• History of the Book
• History of Publishing
• Social History of Credit
• +6 more

Dr. Viera Rebolledo-Dhuin is a Senior Lecturer in Modern and Contemporary History at the University of Paris-Est Créteil Val de Marne (UPEC), affiliated with the Research Centre in Comparative European History (CRHEC). Her research examines the intersection of book history, credit systems, and urban elites using quantitative methods. She leads multiple collaborative projects including PRET19 (digitizing historical library records) and DEF19 (dictionary of French publishers). Her research explores: Evolution of bookseller financing systems and credit chains Social networks in Parisian commerce and publishing Application of digital humanities to historical sources Gender dynamics in 19th-century business failures Recent publications demonstrate strong focus on: Digital archiving of historical library and legal documents Network analysis of Parisian publishers and merchants Socio-economic dimensions of book trade bankruptcies Semantic web technologies for historical dictionaries She actively mentors graduate students, currently supervising four PhD candidates researching diverse topics from literary economics to history of science education. Administrative roles include coordinating the History BA program and serving as HAL repository manager for CRHEC.

• Knowledge Graph
• Semantic Web
• Natural Language Processing
• +1 more

Dr. Sven Hertling serves as Substitute Professor at the University of Mannheim while maintaining a reduced research role at FIZ Karlsruhe's Information Service Engineering group. His career spans institutional affiliations including DFKI GmbH and the University of Mannheim's Data and Web Science Group. His educational background includes: PhD from University of Mannheim (2017-2023) Master of Science in Computer Science from TU Darmstadt (2012-2015) Bachelor of Science in Computer Science from TU Darmstadt (2009-2012) Dr. Hertling's research integrates Knowledge Graphs, Semantic Web, and Machine Learning with Natural Language Processing. His work transitions from foundational contributions like SPARQL endpoint discoverability (ISWC 2013 Best Poster) to contemporary applications including LLM-based climate data extraction and ontology alignment systems, consistently targeting practical implementations in GUI search and knowledge engineering. His 2024-2025 publications reveal a strategic shift toward leveraging large language models for standardizing scientific repositories while advancing core Semantic Web techniques through machine learning datasets. This evolution demonstrates both technical depth in graph algorithms and responsiveness to emerging AI paradigms. Major recognitions include: ESWC 2021 Best Demo (kgextension package) AICA 2017 Best Paper (GUI search engine) ESWC 2016 Top-K Shortest Paths Challenge Winner ISWC 2013 Best Poster (SPARQL endpoints) As an emerging supervisor, Dr. Hertling leverages his Software Campus leadership training and active conference participation (serving on 12+ ESWC/ISWC program committees) to foster student development. His current roles at Mannheim and FIZ Karlsruhe indicate robust institutional support for his research trajectory, though specific grant details remain undisclosed in the source material. He operates within FIZ Karlsruhe's Information Service Engineering framework and maintains ties to Mannheim's Data and Web Science ecosystem, facilitating interdisciplinary work at the intersection of knowledge representation and AI-driven data analysis.

• Linguistics
• Language Education
• Speech Skills
• +3 more

Anna Lucyna Tabisz, holding the title dr hab. (doktor habilitowany), serves as a Professor at the Institute of Linguistics, University of Opole. Her academic profile is exclusively dedicated to linguistics, constituting 100% of her documented research output according to institutional records. Her research spans critical areas in linguistic theory and application, with primary focus on language education , speech proficiency , media discourse analysis , and persuasive communication . Keyword analysis from her publications reveals recurring themes in genre evaluation , vocal expression , terminology , and questioning techniques within communicative contexts. The concentration on practical language skills indicates strong applied linguistics orientation. While specific awards aren't documented in the profile, her scholarly impact is quantified through Poland's ministerial scoring system with a substantial total score of 715 , reflecting significant contribution to national research evaluation frameworks. Bibliometric indicators show zero h-index on Scopus and Web of Science, though the repository notes these values may be undervalued due to incomplete database indexing. With 29 documented publications and only one recorded academic activity, her research trajectory emphasizes sustained scholarly output over conference participation. The absence of multi-center publications suggests primarily independent or institutionally localized research work. No information regarding doctoral supervision, grant funding, or laboratory affiliations appears in the available profile data.

• Metaphysics
• Anglo-American philosophy
• Philosophy of suicide
• +1 more

Stanisław Kijaczko is a university professor at the Institute of History, University of Opole, specializing in philosophical disciplines with particular expertise in metaphysical questions and analytical approaches. His research interests include: Metaphysics Anglo-American philosophy Philosophy of suicide His scholarly work falls entirely within the philosophy discipline (100% FIL classification) according to Polish academic standards. Professor Kijaczko has published 4 scholarly works as recorded in the institutional repository. The publications contribute to his specialized areas within philosophy, though specific titles and venues are not detailed in the available information. He maintains an active academic profile with ORCID identifier 0000-0002-5338-4568 and has accumulated a total ministerial score of 25 within the Polish academic evaluation system. Bibliometric indicators show limited database coverage with h-index values reported as zero in both Scopus and Web of Science.

• Military History
• 20th Century Biographies
• Communist Repression Apparatus
• +5 more

Mariusz Maciej Patelski is a Professor at the Institute of History, University of Opole, specializing in modern Polish history with a focus on military and political repression during the communist era. His academic profile indicates active engagement in research related to 19th-20th century biographies and anti-communist resistance. His research interests center on: Military history of the 19th-20th centuries Apparatus of repression under the Polish People's Republic History of anti-communist opposition Soviet-Polish conflicts and war legacies Press censorship and archival documentation (including Bykivnia/Bykowni mass graves) His work heavily utilizes Polish military archives, Soviet-era documents, and press corpora. Patelski maintains an ORCID profile (0000-0002-2157-5140) and has accumulated a total ministerial score of 841 in the Polish academic evaluation system. His bibliometric data shows 40 publications but currently reports h-index 0 in both Scopus and Web of Science, with no available impact factor metrics. He participates in multi-center research collaborations and utilizes digital repository systems at the University of Opole. His work intersects with library science through analysis of historical press collections and censorship records.

Oscar CorchoView profile

Professor

• Ontology-based Data Integration
• Semantics in Open Science
• Semantic Web
• +6 more

Oscar Corcho is a Full Professor at the Department of Artificial Intelligence within the School of Computer Science at the Technical University of Madrid. He is a prominent member of the Ontology Engineering Group and has been serving as a Professor since May 2007, with his current position as Full Professor reflecting his significant contributions to the field. Professor Corcho's research primarily focuses on Ontology-based Data Integration and the application of Semantics in Open Science. His expertise extends across the broader domains of Semantic Web, Linked Data, Knowledge Graphs, and Ontological Engineering. His work bridges theoretical research with practical applications, particularly in data integration systems and knowledge representation frameworks. With over 460 publications and more than 12,000 citations, he has established himself as a leading researcher in semantic technologies. His recent publications show a strong emphasis on virtual knowledge graph architectures, RDF-star generation, semantic labeling techniques for tabular data, and applications of semantic technologies in scientific literature analysis. His research demonstrates a clear trajectory toward solving real-world data integration challenges across heterogeneous sources while advancing the theoretical foundations of knowledge representation. Third Spanish Award on Computer Science (2001) Beyond his academic role, Professor Corcho is a co-founder of LocaliData Spain, demonstrating his commitment to translating research into practical applications. He has supervised numerous research projects and has been instrumental in developing tools like Morph-KGC for knowledge graph construction. His work has significant implications for public procurement systems, transportation data integration, citizen science initiatives, and scientific research infrastructure. As leader of the Ontology Engineering Group, he oversees a research program that develops innovative methodologies for ontology engineering and semantic data integration across diverse domains. His group's work has influenced both academic research and industry practices in knowledge representation and semantic technologies.

Sagar RainaView profile

Associate Professor

• Cybersecurity Education
• Secure Coding
• Software Security
• +4 more

Dr. Sagar Raina serves as an Associate Professor of Information Technology in the Division of Math and Information Technology at Mount Saint Mary College, New York, where he teaches courses spanning web programming, computer architecture, operating systems, and specialized cybersecurity domains including ethical hacking and mobile application security. Holding a DSc in Information Technology from Towson University and prior industry experience as a software developer, he bridges academic theory with practical security applications. His educational credentials include: DSc in Information Technology from Towson University MS in Applied Information Technology from Towson University BE in Information Technology from the University of Mumbai, India Dr. Raina's research pioneers empirical approaches to cybersecurity education, with signature work using eye-tracking technology to analyze cognitive load during secure coding exercises. He develops innovative pedagogical frameworks like the Security Injections 2.0 modules that integrate segmentation, instant feedback, and auto-grading into programming curricula. His investigations span cybersecurity learning materials, IoT security education, and human-computer interaction dynamics in educational contexts, consistently advancing evidence-based teaching methodologies. Analysis of his publication trajectory reveals a strategic evolution from foundational secure coding modules toward sophisticated experimental designs using biometric measurements. His work consistently targets high-impact venues including SIGCSE, IEEE ISI, and ACM ETRA, demonstrating interdisciplinary rigor at the intersection of cybersecurity, education, and human factors research. His scientific recognition includes: NSA-funded CLARK project leadership ($14,893 grant as Sub-PI) CyberEd Workshop 2019 travel award Multiple graduate travel awards during doctoral studies As Sub-PI for the NSA/Towson University-funded CLARK project, Dr. Raina developed cybersecurity learning infrastructure while maintaining active collaborations with researchers including Bernard, Taylor, and Kaza. His work operates within dynamic research teams focused on educational cybersecurity innovation, though no dedicated physical laboratory is specified in available materials.

Alexander BolotovView profile

Professor

• Automated Reasoning
• Graph-Based Reasoning
• Formal Methods
• +13 more

Alexander Bolotov is a Professor at the University of Westminster's School of Computer Science and Engineering, where he serves as the Software Systems Engineering Research Group Leader and the Doctoral Researchers Development Programme Coordinator. He teaches Level 4 Mathematics for Computing and Level 5 Software Engineering Principles and Practice modules. His research spans Automated Reasoning, Graph-Based Reasoning, Specification and Verification of Complex Reactive, Concurrent and Distributed Systems, Formal Methods in Software Engineering, Logic, Temporal Logic, Proof Theory, On-Line Knowledge Repositories, and Ontologies. His expertise includes Formal Methods, Mathematical Modelling, Software Architecture, Program Reasoning and Logic Engineering. His recent publications demonstrate a strong focus on branching-time temporal logics, formal verification methods, ontology-based e-learning platforms, and applications in digital health evidence generation. His work bridges theoretical computer science with practical applications in healthcare, finance, and educational technology. Bolotov has successfully secured multiple research grants including Innovate UK projects RADIANT Implementation and RADIANT: Regulatory Science Empowering Innovation in Transformative Medical Software and AI, as well as funding from the Alan Turing Institute for developing frameworks for literature evaluation. He actively supervises doctoral students working on topics including ontology-driven frameworks for system integration, rich web applications, cloud computing load balancing, wireless sensor networks, and semantic selection of internet sources. His research group is involved with the Distributed and Intelligent Systems, Software Systems Engineering, and Centre for Parallel Computing.

Ioannis P. NezisView profile

Professor

• Autophagy
• Selective Autophagy
• Cell Biology
• +7 more

Professor Ioannis P. Nezis at the University of Warwick's School of Life Sciences is a leading authority in autophagy research. Using Drosophila melanogaster and mammalian cell models, his work explores selective autophagy mechanisms in aging, neurodegeneration, obesity, and infectious diseases. Current: Professor of Cell Biology (2020-) Prior: Reader (2018-2020), Associate Professor (2012-2017), Assistant Professor (2009-2012) Key affiliations: Warwick Antimicrobial Interdisciplinary Centre (WAMIC), Tissue Image Analytics (TIA) Centre His research focuses on selective autophagy receptors/adaptors , cellular aging mechanisms , and disease pathologies through lysosomal degradation pathways. Current work develops molecular markers for in vivo autophagy monitoring and investigates therapeutic strategies for autophagy-related disorders. Selected publications demonstrate autophagy's role in Golgi quality control , LIR motif interactions , and innate immune regulation . His lab employs RNAi knockdown , confocal microscopy , and bioinformatics to study autophagy's physiological significance.

Shiqiang TaoView profile

Associate Professor

• Neuro-informatics
• Clinical Data Management
• Deep Learning
• +1 more

Dr. Shiqiang Tao is an Associate Professor at McGovern Medical School, The University of Texas Health Science Center at Houston. His academic journey includes prior roles as an Assistant Professor at the University of Kentucky's Department of Internal Medicine, Lead Developer at Kentucky's Institute of Biomedical Informatics, and Research Associate at Case Western Reserve University's Center for Clinical Investigation. His research centers on neuro-informatics with two primary thrusts: Ontology-driven Clinical Data Management : Involving data integration, cross-cohort querying, visualization, and temporal analysis for healthcare datasets. Deep Learning in Healthcare : Applied to substance use disorder prediction, sleep spindle detection/sub-typing, and postictal generalized EEG suppression (PGES) identification. Dr. Tao's publications (2014–2018) demonstrate consistent focus on medical informatics innovations, including sleep data repositories, clinical trial automation, SNOMED CT mining, and neurotechnology interfaces. His work emphasizes scalable data solutions and ontology-based frameworks.

• Telecommunications Engineering
• Telematics
• Distributed Systems
• +7 more

María Teresa Ariza Gómez serves as a Full Professor in the Department of Telematics Engineering at the University of Seville, where she has established herself as a leading researcher in telecommunications and educational technology. Her academic career spans over two decades of continuous research contributions and teaching innovation. Professor Ariza Gómez's research interests focus on Telematics Engineering , with specialization in Distributed Systems , CORBA/MMS protocols , and IoT applications . She has pioneered the integration of gamification techniques into engineering education through tools like Kahoot, and developed virtual learning environments that transform programming instruction. Her work bridges theoretical telecommunications concepts with practical industrial applications, particularly in vehicle telematics and service station management systems. Her publication record shows consistent output with recent emphasis on educational technology (2015-2019), including software architecture for health applications and virtual laboratory environments. These works demonstrate her ability to adapt telecommunications expertise to solve problems in diverse domains from healthcare to automotive systems. Professor Ariza Gómez maintains active research through multiple projects including the TIC-154 research group (with continuous funding since 2006) and industry collaborations on Android applications and payment systems for gas stations. Her teaching methodology emphasizes project-based learning , virtual laboratories , and game-based educational resources that enhance student engagement in complex technical subjects. She leads research initiatives that combine telecommunications engineering with practical educational applications, creating innovative teaching tools that have been adopted across engineering disciplines at the University of Seville. Her work on virtualized computing environments has established a flexible, portable model that supports multidisciplinary teaching needs while maintaining technical rigor.