Find Academic Supervisors

• Sports Science
• Biomechanics
• Machine Learning
• +3 more

Jason Weber serves as an Adjunct Lecturer in the School of Human Sciences at The University of Western Australia, contributing to the UWA Tech & Policy Lab. His work bridges sports science, data analytics, and technology governance with a specialized focus on Australian Rules Football. He holds a doctorate and has established expertise in biomechanics, machine learning applications, and ethical data frameworks within professional sports contexts. His research spans sports biomechanics (ground contact time, reaction forces), machine learning (neural networks for athlete tracking), and data governance. He integrates computer vision, social network analysis, and inertial measurement units to develop field-based performance evaluation methods. Key interests include validity/reliability testing of measurement techniques and ethical implications of athlete data collection in professional sports. Recent publications (2022-2024) demonstrate a concentrated focus on Australian Rules Football analytics using neural networks for location tracking and social network analysis for strategy clustering. His work consistently addresses the intersection of technology, ethics, and policy in sports data management, with increasing emphasis on real-time field applications and governance frameworks. Scientific Awards: No specific awards, fellowships, or medals are documented in the available information. Dr. Weber actively engages in policy-oriented collaborations, co-organizing a 2020 working group on professional sport data collection and participating in the 'Calling the Game' public event on sports technology governance. These initiatives highlight his role in shaping ethical data practices, though no formal student advising or grant funding details are provided. He operates within the UWA Tech & Policy Lab's interdisciplinary environment, collaborating with sports scientists, computer vision experts, and legal scholars. His current work emphasizes practical field applications of AI in sports performance analysis and developing governance models for athlete data systems.

Michael CollinsView profile

Professor

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +3 more

Michael Collins is the Vikram S. Pandit Professor of Computer Science at Columbia University, where he has been since January 2011. He previously held roles at MIT and AT&T Labs-Research. His research focuses on natural language processing (NLP) and machine learning, emphasizing statistical methods and their applications in parsing, question answering, and cross-lingual systems. Collins teaches courses such as COMS W4705 (Natural Language Processing) and has online teaching materials from a Coursera course in 2013. Affiliations include Columbia University and Google NYC. He is affiliated with the Department of Computer Science and leads research in NLP. His work spans theoretical foundations like parsing algorithms and practical applications such as machine translation and semantic grounding. Collaborations with students and postdocs have produced influential models and frameworks (e.g., Qed for explainable QA systems). He has also contributed to benchmark datasets like the Natural Questions corpus. Collins' awards include the NSF Career Award, ACL Fellowship, and multiple best paper awards. His advising includes students like Avner May and Karl Stratos. Research outputs span 20+ years, with recent focus on attribution methods, cross-lingual parsing, and QA systems. His NLP notes and course materials are widely referenced in academic and industrial settings.

• Translation Studies
• Interpreting Studies
• Intercultural Communication
• +5 more

Professor Kayo Matsushita is a distinguished scholar in Translation and Interpreting Studies at Rikkyo University in Tokyo, Japan. She serves as Professor in the College of Intercultural Communication, Department of Intercultural Communication, and holds concurrent appointments in both the Master's and Doctoral Programs of the Graduate School of Intercultural Communication. Previously an Associate Professor at Rikkyo University (2017-2022) and International Christian University (2014-2017), she also maintains visiting positions at European institutions including KU Leuven and University of Tartu. Her academic career builds upon extensive professional experience as a journalist with The Asahi Shimbun and as a professional interpreter. Professor Matsushita's academic background reflects her interdisciplinary expertise across journalism, translation, and intercultural communication: PhD in Intercultural Communication from Rikkyo University Master of Science in Journalism from Columbia University Graduate School of Journalism Bachelor of Arts in Journalism from Sophia University Professor Matsushita's research focuses on the intersection of translation, journalism, and intercultural communication, with particular emphasis on risk management in translation decision-making. Her work explores remote interpreting technologies, corpus-based interpreting studies using the Japan National Press Club (JNPC) Interpreting Corpus, and the unique translation practices of Japanese newspapers. She investigates how political speeches are translated across cultures, the impact of the pandemic on interpreting practices, and develops innovative methods for interpreter training using parallel corpora. Her research bridges theoretical frameworks with practical applications in the translation industry. Professor Matsushita's recent publications reveal a strong focus on the transformation of interpreting practices during and after the pandemic, with several studies analyzing remote simultaneous interpreting (RSI) technologies and their impact on the Japanese interpreting industry. Her work consistently applies corpus-based methodologies to examine translation and interpreting phenomena across multiple language pairs. She has pioneered research on the JNPC Interpreting Corpus, exploring linguistic interference patterns in Japanese-English, Japanese-Chinese, and Japanese-Spanish interpretation. Her scholarship demonstrates increasing interest in AI applications for translation quality assessment and the cognitive aspects of interpreter performance. Professor Matsushita's scholarly contributions have been recognized with prestigious awards: 2002: Association of Alternative Newsweeklies (AAN) Alternative Newsweekly Awards (1st place, Feature Writing) for 'Seven Days at Ground Zero' 1996: Sophia University Russel Brines Scholarship Professor Matsushita actively supervises graduate students in the Master's and Doctoral Programs of Intercultural Communication at Rikkyo University, guiding research on translation, interpreting, and intercultural communication. Her courses include Advanced Seminar series, Conference Interpreting, Translation and Interpreting Practicum, and Master's Thesis Supervision. She has led significant research projects including the construction of the Japan National Press Club Interpreting Corpus, a government-funded four-year project (2016-2020) that created a valuable resource for interpreting studies. Her research has been supported by grants from Japanese academic funding bodies, and she serves on the Science Research Committee of the Japan Society for the Promotion of Science. Professor Matsushita co-leads the research team developing the Japan National Press Club (JNPC) Interpreting Corpus, a bilingual Japanese-English resource that has expanded to include Chinese and Spanish language pairs. This collaborative project involves multiple institutions and has produced significant research outputs in corpus-based interpreting studies. She is actively involved with the Japan Association for Interpreting and Translation Studies (JAITS), where she previously served as Head of the Kanto Chapter and Director. Her research group focuses on applying corpus linguistics methodologies to solve practical problems in translation and interpreting, particularly examining risk management strategies in professional practice.

• Developmental Language Disorders
• Childhood Speech Language and Communication Needs
• Intervention Mechanisms
• +6 more

Carol-Anne Murphy is an Associate Professor in Speech and Language Therapy at the School of Allied Health, Faculty of Education and Health Sciences, University of Limerick. She serves as a member of the Centre for Implementation Research UL (CIRC_UL) Programme Monitoring Group and the Health Research Institute (HRI), with research focused on childhood speech, language and communication needs, particularly Developmental Language Disorders (DLD). Academic Background PhD, Newcastle University Masters in Health Services Management, Trinity College Dublin Graduate Certificate in Teaching and Learning, University College Cork Bachelor in Speech and Language Therapy, University of Ulster Her research centers on intervention mechanisms, outcome measures, and assessment tools for Developmental Language Disorders, with emphasis on collaborative practice in educational settings and dynamic assessment approaches. She actively investigates ecologically valid primary, secondary, and tertiary intervention models through interprofessional health-education partnerships. Recent publications (2024-2025) demonstrate a concentrated focus on peer-mediated interventions for minimally speaking autistic preschoolers, examining feasibility, stakeholder acceptability, and children's perspectives through qualitative methodologies. These works contribute to developing practical school-based support systems grounded in implementation science principles. Scientific Recognition Health Research Board Fellowship Murphy currently accepts PhD students and has secured significant funding including Health Research Board grants (Covid Rapid Response project, Applied Programme Grant 2023-2027) and an NCSE-funded capacity-building project for schools supporting children with speech, language and communication needs. She co-leads the TICLD group's Maximising Intervention for Language Disorders Project developing Core Outcome Sets for DLD interventions. Her institutional affiliations include active roles in CIRC_UL, HRI, and TICLD, with previous leadership in COST Action IS1406 (2015-2019) focusing on European-wide interventions for children with language disorders. She co-authored the Routledge publication 'Managing Children with Developmental Language Disorders' and contributed to international consensus on DLD identification through the Catalise consortium.

Gianluca DemartiniView profile

Research Fellow

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +3 more

Gianluca Demartini is a Research Fellow at The University of Queensland's School of Electrical Engineering and Computer Science. He was appointed in 2025 under the Dieter Schwarz Fellowship program, hosted by Prof. Maribel Acosta. His work intersects artificial intelligence, machine learning, and quantum computing, focusing on applications in computer vision, natural language processing, and human-AI collaboration. Research Interests: Grounding natural language to 3D scenes Data-driven algorithms for signal and information processing Toward more general deepfake detection through anomaly-based analysis Bridging quantum logic, artificial intelligence, and quantum computation Trustworthy Knowledge Graphs Software Engineering for AI Scientific Awards Dieter Schwarz Fellowship

• Geospatial Artificial Intelligence
• Explainable Artificial Intelligence
• Causal Inference
• +4 more

Chuan Chen is a researcher at the Technical University of Munich , affiliated with the Chair of Cartography and Visual Analytics . His work focuses on the intersection of Geospatial Artificial Intelligence (GeoAI) , Explainable AI (XAI) , Causal Inference , and Visual Analytics , aiming to improve the interpretability and policy relevance of spatial modeling. Research Interests include responsible AI applications in urban contexts, population distribution modeling, and frameworks for transparent decision-making using geospatial analysis. His studies emphasize ethical AI, causal mechanisms, and spatial representation. Recent publications highlight his contributions to geospatial modeling, AI ethics narratives, and urban sustainability. He applies explainable AI to frozen ground analysis, population distribution predictability, and AI risk decoding from news data. Teaching includes courses like Image Analysis for Mapping (M.Sc., since 2022) and Mapping for a Sustainable World (M.Sc., 2023 Summer). He supervises master theses and seminars on AI ethics and global-scale visual analysis.

• Computational Linguistics
• Artificial Intelligence
• Text Generation
• +6 more

Sujian Li is an active researcher in computational linguistics and natural language processing, with recent contributions to advanced large language model applications. Their work spans multiple critical areas including hierarchical memory frameworks for Wikipedia generation, self-refining entity grounding systems, and long-context embedding model extensions. Key Research Areas: Continual learning in NLP, multimodal reasoning, cross-lingual knowledge transfer, and factual consistency evaluation. Notable Methods: MOG framework for structured generation, ISR self-refinement scheme, LongAttn token-level analysis, and IPR step-level process refinement. Article Trends show a focus on improving LLM robustness through adversarial training, enhancing coherence via discourse-level graph modeling, and developing benchmarks like WIKIGENBENCH for real-world evaluation. Their research also addresses knowledge integration in biomedical multilingual models (KBioXLM) and mathematical parsing via tree-structured decoding. Collaborations include leading researchers like Yifan Song, Dawei Zhu, and Wenhao Wu across institutions and projects.

Alexander GahrView profile

Lecturer

• German as a Foreign Language
• Verb-Preposition Combinations
• Second Language Acquisition
• +4 more

Alexander Gahr is a Lecturer in German as a Foreign Language at the University of Las Palmas de Gran Canaria (ULPGC), Spain. He earned his doctorate from the University of Santiago de Compostela under the supervision of Prof. Dr. Meike Meliss. His research focuses on verb-preposition combinations (VmP/TMP) in German language learning, particularly at beginner levels (A1-A2) of the Common European Framework of Reference for Languages (CEFR). His research interests lie at the intersection of second language acquisition, corpus linguistics, and pedagogical grammar. He investigates how learners struggle with verb-preposition combinations due to both intra- and interlingual factors, including interference from their native languages and inconsistencies in teaching materials. His work emphasizes the need for empirically grounded vocabulary lists tailored to specific CEFR levels, especially A1. The available article reflects a recent study presented in 2024, which combines qualitative corpus analysis using DeReKo with systematic evaluation of existing teaching resources such as Goethe Institute word lists, grammars, and dictionaries. The goal is to develop a high-frequency, pedagogically relevant list of verb-preposition combinations for A1 learners, addressing gaps in current German as a foreign language instruction. He has presented his findings at the Leibniz Institute for the German Language (IDS) in Mannheim, indicating active engagement with the academic linguistic community in Germany. His methodological approach integrates corpus linguistics with applied language teaching concerns, aiming to improve instructional materials and learner outcomes.

Robert LestonView profile

Professor

• Decolonial Rhetorics
• Deleuze and Guattari Studies
• Multimodal Rhetorics
• +5 more

Robert Leston is a Professor in the Department of English at City Tech, CUNY. His scholarly work bridges avant-garde arts with rhetorical invention, continental philosophy, and decolonial theory. He teaches courses in introductory and advanced composition, technical writing, journalism, film studies, and literature. Education: Ph.D. in Rhetoric and Critical Theory (University of Texas at Arlington, 2007), M.A. in Literature (University of West Florida, 1999), BA in Creative Writing and Philosophy (Florida State University, 1992) His research focuses on decolonial rhetorics , Deleuze and Guattari studies , and multimodal rhetorics , often exploring intersections between sound, image, film, and critical theory. His recent publications analyze posthumanism, Buen Vivir, Zapatismo, and the politicization of rhetorical frameworks. In his multimodal projects , Leston integrates experimental media with rhetorical theory, exemplified in works like The RHIZ-cade and A Table without Organs , which interrogate digital artifacts and game studies. His critical writings address issues such as white language supremacy, horror in digital composition, and temporal theories of kairos.

• Writing Studies
• Writing Center Leadership
• Composition and Rhetoric
• +7 more

Jeffrey Howard is an Assistant Professor of English at Converse University, where he also serves as the Director of the University Writing Center and Director of Composition. He joined the university in 2022 and teaches courses in introductory and multimodal composition, while providing pedagogical support to faculty teaching English 101. Educational Background: PhD in English and the Teaching of English, Idaho State University Graduate Certificate in TESOL, Idaho State University MA in English (Literature and Writing), Utah State University BA in English (Professional Writing), Brigham Young University Jeffrey's research centers on writing center leadership, literacy narratives, and writing centers as collaborative spaces. His work emphasizes critical self-reflection, mentorship of student consultants, and the curation of writing support resources. He has published in journals such as WLN , The Peer Review , and Composition Studies , and his creative nonfiction and poetry appear in Broad River Review , JAMA , and Wordgathering . His recent publications reflect a strong focus on writing pedagogy, collaborative learning, and creative expression. Themes include multimodal composition, regional identity in tutoring, and the intersection of poetry with medicine, disability, and faith. His work bridges academic scholarship and literary artistry. Scientific Awards: Excellence in Teaching Award, South Carolina Independent Colleges and Universities (SCICU) Professor for Affordable Learning Award, Partnership Among South Carolina Academic Libraries (PASCAL) Undergraduate Faculty Learning and Collaboration Award, Converse University Jeffrey mentors undergraduate and graduate writing consultants through the Writing Center. He supports faculty development and curriculum innovation in composition. Though no grants are listed, his leadership roles indicate active involvement in academic support and pedagogical advancement. He leads the University Writing Center, a hub for one-on-one writing consultations across disciplines, fostering student growth in rhetorical knowledge and writing skills. The center serves as both a support service and a training ground for student leaders in writing.

Stefano LambiaseView profile

Researcher

• Social and Human Aspects of Software Engineering
• Cultural and Geographical Dispersion
• Community Smells
• +6 more

Stefano Lambiase is a researcher in Computer Science currently affiliated with Aalborg University in Denmark, where he holds an institutional email address (stla@cs.aau.dk). He earned his PhD in Computer Science from the University of Salerno at the Software Engineering Laboratory (SESA Lab), with a doctoral project titled "Longitudinal Data-Driven Software Project Management" focusing on the social and human aspects of Software Development and Management. His educational background includes: PhD in Computer Science from University of Salerno (2019-present) Master's Degree in Computer Science from University of Salerno (2019-2021), with thesis on "Cultural and Geographical Dispersion Impact on Communication and Collaboration of Software Development Teams" Bachelor's Degree in Computer Science from University of Salerno (2015-2019), with thesis on "Test Smell Detection and Suggestions (TESEUS)" Stefano's research interests center around the human and social dimensions of software engineering , with particular focus on cultural and geographical dispersion in software development teams, community smells (socio-technical anti-patterns), and their impact on productivity and software quality. His work bridges theoretical frameworks with practical applications, developing tools like CADOCS (a conversational agent for community smell detection) and DARTS (a test smell detection and refactoring plugin). He has also explored emerging areas including quantum software communities, metaverse development, and the integration of large language models in software engineering practices. His publication record demonstrates a consistent focus on socio-technical aspects of software development, with recent work examining cultural dispersion effects, community smells in various contexts (including machine learning systems and quantum computing), and educational applications in the metaverse. His research employs diverse methodologies including empirical studies, surveys, interviews, and tool development. Stefano has received recognition for his work, including a Best Paper Award at the 25th Euromicro Conference on Software Engineering and Advanced Application (SEAA 2022) for his paper "'There and Back Again?' On the Influence of Software Community Dispersion Over Productivity". He has been actively involved in the software engineering research community, serving on program committees for major conferences including ICSE-SEET 2024, SANER 2024, ICSEA 2023, MSR 2023, and SCAM-NIER 2023. Additionally, he served as Social Media and Web Chair for the Third Workshop on Gender Equality, Diversity, and Inclusion in Software Engineering (GE@ICSE 2022). Stefano has developed several research tools and projects: DARTS (Detection And Refactoring of Test Smells): An IntelliJ plugin for detecting and refactoring test smells CADOCS : A conversational agent for community smell detection and refactoring in Slack Erwin Bot : A chat bot for management support built with Azure Cloud Services BiblioNet : A Spring Boot Web App for library support QuantuMoonLight : A low-code platform to experiment with quantum machine learning SENEM : A software engineering-enabled educational metaverse SERGE : A serious game for risk management education in software project management

Raffaella BernardiView profile

Associate Professor

• Natural Language Processing
• Computational Linguistics
• Visually Grounded Conversational Models
• +9 more

Raffaella Bernardi is an Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy. She previously held academic positions at the University of Trento and the Free University of Bozen-Bolzano. Her research is centered on Computational Linguistics, with a focus on the interplay between language and reasoning in multimodal and conversational contexts. Research Interests: Her primary research areas include Natural Language Processing, Visually Grounded Conversational Models, Large Language Models (LLMs), Vision-Language Models (VLMs), and the cognitive abilities of AI systems. She investigates how language and reasoning interact, particularly in dialogue and multimodal settings. The analysis of her 15 most recent publications reveals a strong emphasis on multimodal reasoning, human-AI interaction, and the cognitive evaluation of language models. Her work frequently explores how AI systems understand and generate language in context, particularly in grounded and interactive environments. There is a consistent trend toward benchmarking, evaluation, and understanding the reasoning capabilities of modern LLMs and VLMs. Fellow of ELLIS (European Laboratory for Learning and Intelligent Systems) Best Paper Award, INLG 2023 Best Paper Nomination, Clic-it 2020 Best Paper Nomination, NL4AI 2020 Raffaella Bernardi has supervised numerous PhD and Master’s students, including Leonardo Bertolazzi, Claudio Greco, Alberto Testoni, and Sandro Pezzelle. She has been involved in significant research projects, often funded by industrial partners like SAP and EU initiatives. She has also been active in organizing scientific events and serving in leadership roles within the ACL and AILC communities. She leads a research group focused on multimodal language understanding and grounded interaction. Her team has developed benchmarks such as BD2BB (Be Different to Be Better) to evaluate the complementarity of language and vision in AI systems.

• Artificial Intelligence
• Automated Planning
• Knowledge Representation and Reasoning
• +7 more

Alfonso Emilio Gerevini is a Full Professor of Information Processing Systems at the Department of Information Engineering, University of Brescia, Italy. He has been a leading figure in Artificial Intelligence research for decades, with a focus on automated planning, knowledge representation, machine learning, and neurosymbolic AI. He has held visiting positions at the University of Rochester (USA) and the University of Freiburg (Germany), and is a Fellow of both the European Association for Artificial Intelligence (EurAI) and the Asia-Pacific Artificial Intelligence Association. His research interests span a broad spectrum of AI, including automated planning, knowledge representation and reasoning, machine learning, data mining, natural language processing, and applications in healthcare and industry. He has made seminal contributions to the development of planning systems such as LPG, PbP, and PbP2, which have achieved top rankings in international planning competitions. He has served on the editorial boards of premier journals including Artificial Intelligence and JAIR , and has organized major conferences such as ICAPS and AI*IA. The recent publications highlight a strong trend toward integrating large language models (LLMs) with classical planning, neurosymbolic reasoning, bias detection in AI, and medical applications of machine learning. His work increasingly bridges symbolic AI with deep learning, focusing on robustness, explainability, and real-world deployment. Fellow of the European Association for Artificial Intelligence (EurAI) Fellow of the Asia-Pacific Artificial Intelligence Association Best Fully-Automated Planner of IPC-3 (2002) for LPG Winner of Learning Track at IPC-6 (2008) for PbP Winner of Learning Track at IPC-7 (2011) for PbP2 Gerevini has advised numerous researchers and collaborators, many of whom are now active in AI research. His leadership in organizing international competitions and conferences has significantly shaped the AI planning community. He has been deeply involved in projects applying AI to real-world problems, including prognosis estimation in healthcare, bias detection in language models, and automated scoring systems for safety training. He leads a vibrant research group focusing on planning, learning, and reasoning. His lab is engaged in developing unified planning frameworks, neurosymbolic integration methods, and applying AI to healthcare and industrial domains. Current efforts include the Unified Planning framework in Python, GPT-based planning policies, and explainable AI for medical reports. Future work is expected to further advance hybrid neurosymbolic architectures, robust planning under uncertainty, and ethical AI systems.

Luís Miguel BotelhoView profile

Associate Professor

• Artificial Intelligence
• Intelligent Agents
• Multi-Agent Systems
• +8 more

Luís Miguel Botelho is an Associate Professor at the Department of Information Science and Technology (ISTA), ISCTE – IUL (Instituto Universitário de Lisboa), where he actively contributes to teaching and research in Artificial Intelligence and Intelligent Agents. He teaches courses in Artificial Intelligence and Intelligent Systems Technology, using Prolog as the implementation language. PhD in Business Organization and Management, ISCTE-IUL (1997) Master’s in Electrical and Computer Engineering, Higher Technical Institute – UTL (1990) Bachelor’s in Electrical Engineering, Higher Technical Institute – UTL (1983) His research focuses on autonomous agents, multi-agent systems, context-aware computing, semantic web services, and affective interactions. He has led and participated in major projects including CASCOM, Agentcities, SAFIRA, and MODEST, contributing to architectures for service coordination, agent communication, and intelligent surveillance. His recent publications (2021–2022) explore rhetoric modeling, automatic story generation, and enhancements to business tools, reflecting a trend toward cognitive modeling, narrative AI, and practical AI integration. Earlier works (2008–2013) emphasize service discovery, composition, and execution in agent-based systems, grounded in semantic technologies and distributed coordination. He has held academic leadership roles, including Director of the PhD in Information Science and Technology and 3rd Year Coordinator for multiple undergraduate programs. His work is published in top AI venues such as AAMAS, IJCAI, and IEEE conferences. Research Projects: CASCOM – Context-aware Service Coordination (FP6) KnowledgeAndCulture.org – Intelligent Team Selection (FCT) Agentcities – Worldwide Agent Network (FP5) SAFIRA – Affective Interactions (FP5) MODEST – Surveillance Video Analysis (FP4) He advises students and leads research in agent-based systems, with a strong emphasis on open, dynamic, and semantically rich environments. He is affiliated with the Instituto de Telecomunicações and maintains active profiles on Scopus, ORCID, and Google Scholar.

• E-service
• E-payment systems
• E-learning
• +6 more

Dr. Mahmoud Hassan Elbasir is a Lecturer in Information Systems at De Montfort University, affiliated with the School of Computer Science and Informatics within the Faculty of Computing, Engineering and Media. He holds a PhD in Computer Science and an MSc in Information System Management, both from DMU, and teaches modules such as Systems Building: Methods and Systems Building Management. He is also the module leader for key undergraduate courses and contributes to programs in computer ethics and privacy. PhD in Computer Science, De Montfort University, UK MSc in Information System Management, De Montfort University, UK Higher Diploma in Control Engineering, Got Al-Shaal Faculty of Computer Science, Libya His research focuses on e-services , particularly e-payment systems and e-learning, along with mobile learning and qualitative methodologies such as grounded theory . He aims to enhance service delivery, teaching effectiveness, and technological adoption in educational and financial contexts. His work often explores user trust, security, and system reliability, especially in developing regions like Libya and Jordan. The analysis of his recent publications reveals a consistent focus on technology adoption in education and finance, with strong emphasis on qualitative research methods. His work bridges technical design and human factors, particularly in mobile learning environments and electronic payment systems. Themes include user experience, trust, security, and the impact of multimedia platforms like YouTube on language learning during crises such as the pandemic. SCHOLARSHIP: Postgraduate study (M.Sc.) from the Libyan government, 2005-2008 SCHOLARSHIP: Postgraduate study (PhD) from the Libyan government, 2009-2015 Dr. Elbasir supervises undergraduate and postgraduate students and has contributed extensively to curriculum development and assessment in information systems. While specific grant details are not mentioned, his government-funded scholarships supported his advanced studies. He is actively involved in teaching and research without indication of external funding or large-scale grants. He is affiliated with the Centre for Computing and Social Responsibility (CCSR) , which underscores his commitment to ethical computing, privacy, and socially responsible technology design. His work integrates technical innovation with social impact, particularly in educational equity and digital inclusion.