Find Academic Supervisors

Anastasiia BelyaevaView profile

Assistant Professor

• Communication Skills
• Academic Writing
• Business Communication
• +3 more

Anastasiia Belyaeva is an Assistant Professor in Communication Skills and Academic Writing at the Center for Strategy, Organization & Leadership at Nyenrode Business University. Her primary role focuses on developing students' critical thinking, communication effectiveness, and problem-solving skills for academic and professional settings. Previously, she served as an Assistant and Associate Professor at Zaporizhzhia National University, Ukraine, where she taught English for Business, Professional Purposes, and Academic Writing for over 15 years. Expertise: Business Communication, Language Pedagogy, Contrastive Linguistics Research Focus: Cognitive Semantics, Corpus Linguistics, Discipline-Specific Language Instruction Her teaching philosophy emphasizes equipping students with tools to navigate communication challenges in both academic and corporate environments. Belyaeva designs specialized classroom materials to bridge language competencies with professional applications in fields like graphic design and IT. She actively contributes to language education through blogs like AllProfessionalEnglish , focusing on interactive learning methods and coding for educators. Publications highlight her work in contrastive linguistics and corpus-based approaches, with notable contributions to journals like Nova filolohiya and Diacrítica . Her books provide structured curricula for graphic design students, integrating language skills with creative disciplines.

Željka TomasovićView profile

Associate Professor

• Digital Image Processing
• Signal Analysis
• NanoElectronics
• +4 more

Associate Professor Željka Tomasović holds a PhD and is affiliated with the Department of Information Sciences and Technologies at the University of Zadar. Her research focuses on digital image processing, signal analysis, nanoelectronics, optoelectronics, and time-frequency analysis. She teaches courses including Programming I, Digital Image Processing, and Database Design. Her scientific interests span from nanotechnology applications in electronics to advanced signal processing techniques, with recent work emphasizing IoT security, digital humanities, and entropy-based denoising algorithms. She has published extensively on topics like spectrogram analysis, medical electrode failure detection, and non-stationary signal processing. Professional activities include mentoring students in computer science disciplines and participating in international conferences such as SpliTech. Dr. Tomasović maintains an active research agenda with projects addressing open science frameworks, digital competence development, and advanced signal feature recognition methods.

Sándor DarányiView profile

Professor

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

Sándor Darányi is a Professor at the Swedish School of Library and Information Science, University of Borås (since 2011), with a career spanning over four decades in information science, digital libraries, and cultural heritage preservation. He also holds an Honorary Professorship at Szeged University, Hungary. His research focuses on advanced access to digital libraries, automatic indexing, information visualization, digital preservation, narrative genomics, and quantum interaction models for semantics. Education: Candidate of Science (CSc) in Ethnography, Hungarian Academy of Sciences (1994) PhD in Information Science, Eötvös Loránd University (1989) MA in Library and Information Science, Eötvös Loránd University (1985) MSc in Agricultural Sciences, University of Agriculture (1975) Research Interests: Darányi’s work bridges computational methods with cultural studies, including: - Formalization of folk narratives for big data analysis - Quantum-inspired models of semantic change - Haptic interfaces for accessibility in museums - Evolving semantics in digital ecosystems - Cultural heritage digitization projects Professional Activities: Editorial Board Member of Journal of Information Science Education Organized major conferences such as SEMANTiCS, IC-ININFO, and AMICUS workshops Supervised doctoral students in computer science and information studies Co-developed the PERICLES project on digital preservation Labs/Teams: His research groups have pioneered projects like the MuseIT inclusive museum initiative and the SHAMAN digital preservation framework, leveraging high-performance computing and cloud technologies.

• Computer Vision
• Machine Learning
• Optical Character Recognition (OCR)
• +3 more

Zayene Oussama is a Researcher at the HES-SO University of Applied Sciences and Arts Western Switzerland, affiliated with the Fribourg School of Engineering and Architecture and the Institute of Complex Systems (iCoSys). His work focuses on advancing video text detection, recognition, and OCR systems with a specialization in Arabic script challenges. He has contributed to the development of the AcTiV dataset and associated tools, widely used in international competitions like ICPR and ICDAR. Completed the 'Video Protector Smart AID' project (2021), integrating vision-based surveillance systems Collaborated with Morphean SA on intelligent video analysis PhD thesis (2018) developed novel Arabic text detection/recognition methods using deep learning Research interests include: Arabic text processing in videos Computer vision applications Machine learning for OCR Dataset standardization Recent work (2025) explores truck classification via YOLOv5 and evaluates Vision-Language Models for critical tasks.

• French Language Pedagogy
• Translation Studies
• Computer-Assisted Language Learning
• +3 more

Milen Ivanov Chipchanov serves as Assistant Professor at New Bulgarian University's Department of Foreign Languages and Cultures, where he has taught French language and translation since 1999 after previously working at the Institute for Foreign Students (1979-1999). His academic career spans over 45 years with expertise spanning French linguistics, translation studies, and educational technology integration. Bachelor's in French Philology, Sofia University 'St. Kliment Ohridski' (1979) Postgraduate Qualification in 'Computers in Language Teaching' (1987) Doctorate in 'Pedagogical Mediation through Personal Computers in Foreign Language Learning' (2013) Professor Chipchanov specializes in computer-assisted language learning, focusing on digital material development, multimedia integration, and translation technologies. His research bridges traditional linguistic pedagogy with modern technological solutions, particularly examining generational differences in digital learning adoption and strategies for authentic material implementation in language instruction. His methodology emphasizes practical application through audiovisual resources, computer systems, and interactive platforms. His publication portfolio demonstrates consistent evolution from foundational computer-assisted language learning concepts in the 1990s toward contemporary digital pedagogy frameworks, with recent work examining Z-generation learning behaviors and digital material development principles. The research trajectory reveals deepening specialization in digital language learning ecosystems while maintaining core focus on phonetics, translation, and multimedia integration. Professor Chipchanov has directed master's programs and participated in national educational projects including Ministry of Education initiatives for teacher qualification and student internships. His administrative experience includes coordinating language programs and developing digital learning frameworks through projects funded by the European Social Fund. His technical expertise encompasses HTML programming, multimedia content creation, and specialized translation software development. He has contributed to numerous educational projects including the creation of digital learning platforms, video-based instructional materials, and computer-assisted assessment systems for language learning.

Nevzudin BuzađijaView profile

Associate Professor

• Software Engineering
• Web Applications
• Database Management Systems
• +5 more

V.Prof.Dr. Nevzudin Buzađija is an Associate Professor at the Software Engineering Department , Faculty of Philosophy, University of Zenica, Bosnia and Herzegovina. He holds leadership roles as Head of the Software Engineering Department and Vice Dean for Teaching and Student Affairs at the Polytechnic Faculty. Research focuses on Software Engineering , Blended Learning , Blockchain Applications , and Educational Technology Courses taught include Computer Architectures , Databases , and Informatics Methodology across multiple departments Pioneer in applying fuzzy logic and blockchain to educational systems Recent Publications highlight advancements in: DevOps Methodology for modern software development Microservices with RabbitMQ message brokers Smart Contract optimization and blockchain for digital certificates Scratch Programming in K-12 education Artificial Intelligence for multimedia content analysis His work bridges academic research and educational practice , with significant contributions to curriculum design and ICT integration in transitional economies.

Roger ZimmermannView profile

Professor

• Multimedia and Distributed Systems
• Multimedia and Mobile Networking
• Spatio-temporal Data Management
• +8 more

Roger Zimmermann is a Full Professor at the School of Computing, National University of Singapore (NUS), where he is also a Co-PI at the Grab-NUS AI Lab and leads the Location AI project. He previously served as Deputy Director of the NUS Smart Systems Institute (SSI) and Co-Director of the Centre of Social Media Innovations for Communities (COSMIC), both funded by Singapore’s National Research Foundation (NRF). Before joining NUS, he was a Research Area Director and Research Assistant Professor at the University of Southern California (USC). Ph.D. in Computer Science, University of Southern California (1998) M.S. in Computer Science, University of Southern California (1994) His research focuses on multimedia systems , spatio-temporal data management , streaming media architectures (especially DASH), machine learning applications , AR/VR , and location-based services . He leads the Media Management Research Lab (MMRL) at NUS, which conducts cutting-edge work in distributed multimedia and intelligent systems. His work combines theoretical depth with real-world applications in urban computing, smart mobility, and immersive media. The recent publications reflect a strong trend toward multimodal learning , spatio-temporal AI , adaptive streaming , and urban intelligence . His team explores zero-shot learning, 3D scene understanding, traffic forecasting, and open-vocabulary audio-visual segmentation, often leveraging foundational models and deep neural architectures. There is a clear emphasis on real-time, scalable systems for smart cities and immersive experiences. Dr. Zimmermann has received numerous accolades, including: DASH-IF Excellence in DASH Award (multiple years) Best Paper Awards at ACM SIGSPATIAL, IEEE ICME, and ACM MMSys Silver Award at ACM MMSys 2020 Grand Challenge IEEE Communications Society Best Editor Award (2017) ACM Distinguished Member (2017) Top 1% Publons Reviewer in Computer Science (2018) He has advised numerous students and led major research initiatives funded by MOE, NRF, A*STAR, NSF, and industry partners like Seagate, Intel, and HP. He has served as General Chair for IEEE MIPR 2023, ACM Multimedia 2020, and IEEE ISM 2015, and as TPC Co-Chair for several top-tier conferences. His editorial roles include Associate Editor for IEEE Transactions on Multimedia (TMM), ACM TOMM, and IEEE OJ-COMS. He leads the Media Management Research Lab (MMRL) , which focuses on intelligent multimedia systems, spatiotemporal data mining, and immersive media technologies. The lab develops scalable solutions for real-world challenges in urban computing, smart transportation, and interactive media.

Željka CarView profile

Professor

• Telecommunications
• Software Engineering
• Human-Computer Interaction
• +5 more

Željka Car is a Professor at the Faculty of Electrical Engineering and Computing (FER) , University of Zagreb, Croatia. She serves as Head of the Department of Telecommunications and focuses on research in telecommunications, software engineering, and human-computer interaction. Research Interests : Accessibility in digital systems, augmented reality, assistive technology, serious games for education, machine learning applications, network reliability, and project management. Teaching : Leads courses in project management and software development methodologies. Projects : Involved in developing ICT-AAC applications for children with developmental disabilities, VR/AR tools for military and educational use, and software process improvement frameworks. Publications highlight trends in accessible software design, gesture-based interfaces, and integration of emerging technologies with augmentative and alternative communication (AAC) systems.

Monica MordoniniView profile

Associate Professor

• Artificial Intelligence
• Autonomous Systems
• Computer Vision
• +13 more

Monica Mordonini is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering, University of Parma, where she has been a faculty member since 1999. She teaches courses across multiple programs including Computer Engineering, Engineering Management, Civil and Environmental Engineering, and Law, with a focus on Artificial Intelligence, Software Engineering, and Information Systems. Her research interests lie primarily in Artificial Intelligence , with emphasis on visual sensors, unconventional vision algorithms for autonomous systems, and applications in video surveillance. More recently, her work extends to information extraction from distributed multimedia databases, semantic web applications, and ontology design for smart environments. She is actively involved in interdisciplinary research, particularly in healthcare technology, including patient tracking and operating room optimization using IoT and digital twin technologies. The most recent publications reflect a strong trend toward applied AI in healthcare and intelligent systems. Her work integrates computer vision, real-time data processing, and system modeling to improve clinical workflows and service delivery. Themes such as digital twins, location-based services, and simulation-based optimization are central to her current research trajectory. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: There is no explicit information about PhD or Master’s students she has advised. Similarly, no grants or funded projects are detailed in the text, though her collaborative publications suggest involvement in research initiatives, particularly in healthcare and intelligent systems. Labs and Research Teams: While specific lab affiliations are not mentioned, Monica Mordonini collaborates extensively with researchers in healthcare, engineering, and computer science, particularly in projects involving patient tracking, operating room systems, and digital libraries. Her work appears to be conducted within interdisciplinary teams at the University of Parma, likely connected to intelligent systems and applied AI laboratories.

Ching-yu HuangView profile

Associate Professor

• Bioinformatics
• Data Mining
• Image Processing
• +6 more

Ching-yu Huang is an Associate Professor in the Department of Computer Science and Technology at Kean University within the College of Science, Mathematics and Technology. With a Ph.D. in Computer and Information Sciences from NJIT, he bridges industry experience in Finance, Telecommunications, and Biotechnology with academic roles, focusing on data mining, image processing, and educational technology. Education : Ph.D. (NJIT, 1998), M.S. (NJIT, 1993), B.Eng. (Tamkang University, 1990) Research Interests span bioinformatics (SNP genotype calling), data mining, image processing, GIS, and cyber-learning. His work integrates machine learning with practical applications in medical imaging, social media analysis, and educational tools. Publication Trends show expertise in data analytics for public health, geospatial systems, and educational technologies, with recent studies on pandemic impacts, blockchain, and AI-driven visualization tools. Collaborations with students highlight real-world problem-solving. Scientific Awards : NSF Grant Co-PI (2025-2029) Kean Presidential Excellence in Teaching (2023) NSF DUE Grant Co-PI (2021-2026) Multiple SpF and STEMPact Awards (2017-2023) Teaching & Grants : Courses include Data Mining, Database Systems, and Unix Programming. He has secured significant NSF funding for cybersecurity and data science education, mentoring over 20 students in research initiatives. Labs & Teams : Faculty advisor for Code Samurai peer-tutoring Collaborator in NIH UMDNJ research Co-PI in NSF grants for educational innovation

• Management Information Systems
• Strategic Use of Technology
• Knowledge Management
• +7 more

James B. Obielodan is a Professor of Management Information Systems at the School of Business, Kentucky State University (KSU), where he has been teaching since 2001. He has also served in key administrative roles including Director of Graduate Studies (2012–2018), MBA Program Coordinator, and Interim Chair of the School of Business (2005–2008). Additionally, he coordinates the School of Business website and information resources. Education: Ph.D., Michigan State University M.B.A., Michigan State University M.A., Michigan State University B.A., Wheaton College M.A., Wheaton College B.Th., Igbaja Theological Seminary Dr. Obielodan's research centers on the strategic use of information technology for competitive advantage, knowledge management in organizations, the impact of IT on entrepreneurship in emerging economies, and enterprise systems such as ERP. His work bridges technology and business strategy, with a focus on innovation and organizational learning. His teaching portfolio includes graduate and undergraduate courses in Management Information Systems, Business Statistics, Quantitative Methods, Business Databases, and Computer Applications in Business. His professional background includes over 12 years of experience in academic computing and instructional technology at Michigan State University, where he served as Manager of the Faculty Facility for Creative Computing (FFCC) and Manager of Instructional and Technology Support Services. He has also taught as an adjunct faculty at Western Michigan University, William Tyndale College, and Lansing Community College. Dr. Obielodan has presented papers at various professional conferences, workshops, and seminars, reflecting his active engagement in academic discourse. While no specific awards or publications are listed, his sustained contributions to teaching, administration, and academic technology indicate a strong commitment to higher education innovation. He has no listed scientific awards. Dr. Obielodan advises students at both the undergraduate and graduate levels, particularly in MIS and business analytics, though specific advisees are not named. He has led curriculum development and program coordination efforts, including directing graduate studies and the MBA program. There is no mention of external grants, but his role as Faculty Fellow at KSU’s Center for Innovation in Teaching, Learning, and Assessment (CITLA) suggests involvement in pedagogical research and instructional improvement initiatives. He is actively involved in maintaining and developing digital information resources for the School of Business, functioning as the website and information resources coordinator. This role aligns with his expertise in web development, multimedia programming, and instructional design, contributing to the school’s academic infrastructure and outreach.

• Artificial Intelligence
• Biometrics
• Security Systems
• +5 more

Kingsley Nwosu is an Associate Professor in the Department of Computer Science at Norfolk State University's College of Science, Engineering and Technology. His research spans artificial intelligence, biometric systems, and security frameworks, with a focus on healthcare, campus safety, and low-resource environments. Email: kcnwosu@nsu.edu Research Themes: AI-driven emotion recognition and facial recognition systems Biometric authentication for security and privacy Blockchain applications in e-voting and data integrity Urban mobility optimization via embedded systems Public policy evaluation for social enterprises Data partitioning strategies for machine learning Publication Trends: His work since 2012 highlights interdisciplinary applications of AI and biometrics in healthcare, security, and economic development, with recent emphasis on scalable solutions for developing economies and proactive cybersecurity measures.

• Romance Philology
• Medieval Literature
• Galician-Portuguese Lyric Poetry
• +3 more

Mariña Arbor Aldea (b. October 17, 1973) is a Full Professor at the University of Santiago de Compostela (USC), holding positions in the Department of Galician Philology within the Faculty of Philology. She earned her doctorate in Romance Philology from USC in 2001 with her thesis on the Songbook of Don Afonso Sánchez. A distinguished scholar, she has held postdoctoral research positions at the Università degli Studi di Padova and returned to USC as a Ramón y Cajal Researcher before attaining full professorship in 2010. Her research focuses on medieval Galician-Portuguese lyric poetry, manuscript studies, and cultural history of the Iberian Peninsula. She co-leads the Universo Cantigas portal, a collaborative digital project producing critical editions of medieval lyric poetry. Notable awards include the Dámaso Alonso Award for Philological Research and the Extraordinary Doctoral Award. Aldeer’s work bridges philology and digital humanities, exemplified by her facsimile editions and online scholarly resources. She has authored numerous books on medieval Galician-Portuguese manuscripts, including studies on the Ajuda Songbook and Vindel Parchment. Her recent projects explore musical and textual exchanges along pilgrimage routes, particularly the Camino de Santiago.

Javed I. KhanView profile

Professor

• Computer Networking
• Cyber Infrastructure
• Active and Programmable Networking
• +14 more

Javed I. Khan is a Professor and Chair of the Department of Computer Science at Kent State University . He leads cutting-edge research in networking, cyber infrastructure, and perceptual systems, with funding from DARPA, NSF, NASA, AFRL, and the World Bank. He is the director of the Media Communications and Networking Research Laboratory (MEDIANET) and actively contributes to international education networks. Ph.D., University of Hawaii at Manoa B.Sc., Bangladesh University of Engineering and Technology (BUET) His research spans active and programmable networking , peer-to-peer systems , semantic design , multimedia communication , and medical imaging . He has pioneered work in holographic associative memory and complex system visualization . His interdisciplinary work integrates computer science with human-centered design and global development. The recent publications reflect a strong trend in decentralized systems , next-generation architectures , and intelligent networking . Themes include P2P computing, dynamic routing, content-based search, and perceptual engineering, indicating a forward-looking research vision in network evolution and human-machine symbiosis. Fulbright Senior Specialist on High Performance Education Networking Open Grants Fellow, East West Center, Hawaii Dr. Khan has advised national and international bodies including the World Bank on research and education networks (RENs) for sustainable development. His lab has secured grants from DARPA , NSF , NASA , and AFRL , supporting innovative projects in space communication, multisensory fusion, and digital library systems. He leads the MEDIANET Lab , which houses the Internet Teaching Lab (ITL) and Student Research Portal . The lab fosters collaboration through the MEDIANET Collaboration Server and supports projects in active networking, P2P computing, and perceptual media.

Tomáš SkopalView profile

Professor

• Similarity Search
• Multimedia Retrieval
• Database Indexing
• +3 more

Prof. Tomáš Skopal is Vice-Rector for Information Technologies and a Professor of Computer Science at Charles University in Prague. He holds a dual affiliation: the Department of Software Engineering under the Faculty of Mathematics and Physics. His current administrative roles include leadership in university IT strategy and academic governance. Member of Heidelberg University’s Academic Advisory Council since 2025 Scientific advisory board member at multiple universities Technical committee member of the Czech Science Foundation Accreditation body member for higher education Advisory board member of the prg.ai consortium (AI innovation ecosystem) Research focuses on foundational and applied aspects of similarity search, multimedia systems, database optimization, and video analytics. With over 120 peer-reviewed publications and leadership in numerous research projects, his work bridges theoretical computer science with real-world applications in AI and information retrieval. No specific article details are provided in the text, but his publication trends reflect sustained contributions to database systems, multimedia technologies, and computational methods for large-scale data analysis.