Michael Dove is an Assistant Professor at the Department of English and American Studies, Faculty of Arts, Matej Bel University. His academic work focuses on translation, intercultural communication, and language education, with a particular interest in English as a lingua franca and accessible communication. His research spans interdisciplinary approaches to language accessibility, task-based teaching methods, and quantitative analysis of cultural identity. Recent projects include the VEGA-funded Accessible! Linguistics of Easy-to-Understand Languages (2022–2024), which examines comprehensibility in educational and public contexts. Key publication trends include: 2024: Collaboration with Zuzana Bohušová on accessible languages 2022: Environmental communication from anthropological perspectives 2010–2021: Language teaching methodologies and interpreter training He teaches courses such as Translation into English, American Studies, and Teaching English with Technology, while maintaining consultation hours via MS Teams and Monday office hours (10:00–12:00). No scientific awards or student lists are publicly detailed.
Professor Doris Tophinke is affiliated with the University of Paderborn, where she serves in the Faculty of Cultural Studies within the Institute of German Studies and Comparative Literature, specifically in the Department of German and General Linguistics. She maintains her office in room H3.134 at Warburger Str. 100, 33098 Paderborn and serves as the project leader for the Paderborn location of the Dialect Atlas of Central West Germany (DMW). Professor Tophinke's research spans multiple interconnected areas within linguistics, with a primary focus on literacy and writing practices across historical and contemporary contexts. Her work uniquely bridges contemporary graffiti studies with medieval linguistic research, examining how written forms carry grammatical significance. She investigates 'small forms' of writing like graffiti through the lens of multimodal grammar and cognitive linguistics, while simultaneously documenting language change through her extensive work on Low German dialects and the Dialect Atlas of Central West Germany. Her research demonstrates how seemingly marginal linguistic phenomena provide profound insights into grammatical structures and language evolution. The patterns in her recent publications reveal consistent engagement with informal language in everyday contexts - from street graffiti to digital communication. Her scholarly output shows increasing interdisciplinary collaboration, particularly with computational linguists on projects analyzing grammatical change. Her work on political graffiti and linguistic expressions demonstrates how language functions as political commentary and social identity marker in public spaces. Since 2008: Member of the editorial board of Praxis Deutsch (Friedrich Verlag) Since 2008: Member of the editorial board of Zeitschrift für Germanistische Linguistik (de Gruyter) December 2011-February 2016: Member of the DFG Subject Committee 'Sprachwissenschaften' October 2011-September 2015: Service in DAAD selection committees Since March 2019: Member of the review board of 'Niederdeutsches Wort' journal Since June 2019: Member of the advisory board for Low German language at the Ministry of Home Affairs of North Rhine-Westphalia September 2011-May 2019: Deputy Ombudsperson for Good Scientific Practice at University of Paderborn June 2019-March 2022: Ombudsperson for Good Scientific Practice at University of Paderborn Professor Tophinke actively supervises doctoral students through the DMW project and related research initiatives, providing opportunities for students to work with research data in their theses. She teaches courses including 'Zeichensetzung und (komplexe) Sätze' (Punctuation and Complex Sentences), 'Wörter: Semantik und Funktionen im Wandel' (Words: Semantics and Functional Change), and 'Der Wortschatz der Mode' (Vocabulary of Fashion), integrating her research interests across German teacher training programs and Linguistics degree programs. She leads the Paderborn team for the Dialect Atlas of Central West Germany (DMW), which involves systematic fieldwork collecting dialect data throughout North Rhine-Westphalia and neighboring states. The project team includes scientific associates, research assistants, and student collaborators who conduct interviews in participants' homes across the survey region, documenting linguistic variations with particular attention to Low German where it is still spoken. The team also works on the Informationssystem Graffiti in Deutschland (INGRID) project, which catalogs and analyzes graffiti as a linguistic phenomenon.
Diane Slaouti is a Senior Lecturer at the Manchester Institute of Education , specializing in TESOL/English Language Teaching and teacher professional development. Her work explores the integration of ICT in education, transitions into new teaching contexts, and intercultural communication. She contributes to MA and BA-level pedagogy, including research methods and postmethod paradigms. Research Focus : Alignment of CALL (Computer-Assisted Language Learning) theory with practice, digital tools in teacher education, and intercultural competence. Teaching : Leads the MA TESOL teacher education pathway, focusing on video as a text and study skills for undergraduates. Student Support : Principal Student Advisor, providing guidance at all academic levels. International Experience : Collaborates across Algeria, France, Greece, Spain, Morocco, Russia, Portugal, and Bangladesh.
Professor Clemens H. Cap is a Full Professor with tenure and Chair for Information and Communication Services at the University of Rostock, Germany, where he has held his position since 1997. He maintains leadership of the Information and Communication Services research group and has previously held academic appointments at the University of Zurich (including an adjunct professorship until June 2023) and the University of Mannheim. University of Rostock: Full Professor (1997-present) University of Zurich: Adjunct Professor (2004-2023) University of Zurich: Assistant Professor (1992-1995) University of Mannheim: Associate Professor (1994) Professor Cap's research focuses on distributed systems, system security, Internet applications, and social problems in computer science. His work demonstrates an evolution from early research on workstation clusters to contemporary investigations of blockchain technology, classroom response systems, and the social implications of digital technologies. His research interests encompass system architecture for distributed and ubiquitous applications, Internet services, system security, and applications of formal specification techniques. His work has been supported by the German Research Foundation (DFG), the Federal Ministry of Education and Research (BMBF), and the European Union, including participation in the European Fifth Framework Research Program. His recent publications (2014-2022) reveal a strong focus on blockchain applications, security management, and educational technologies, particularly classroom response systems. His research shows consistent thematic development with security, distributed systems, and the social impact of technology as throughlines. Professor Cap regularly gives guest lectures in the Baltic States and Switzerland, demonstrating international engagement. Honorary doctoral degree 'sub auspiciis praesidentis' by Austrian president (1989) Professor Cap is active in academic self-administration as a member of the board of the interdisciplinary research department 'Knowledge - Culture - Transformation' and as Head of the ICT Science Confederation. His teaching portfolio includes Computer Networking, Data Security, Architecture of network services, Methodology of Scientific Research, Software Development Project Distributed Systems, Research Topics in Internet Technology, Computer Science and Society, and Social Impact of IT. He has developed numerous modules that are part of summer schools and international cooperations (BaSoTI). His teaching languages are German and English, and his courses are available for continuous education programs and in-house seminars for companies.
Dr. Dijana Drandić is an Associate Professor at the Faculty of Educational Sciences , Juraj Dobrila University of Pula , specializing in Early and Preschool Education . As Lecturer in charge for courses like General Didactics and Intercultural Communication , she emphasizes inclusive practices and pedagogical innovation. Research Interests : Intercultural communication, inclusive education for children with developmental disabilities, music pedagogy, and ICT integration in special education. Key Projects : Collaborative work on ICT in Special Education , Montessori Adaptation for Disabilities , and intercultural readiness studies. Publications : 15+ works on intercultural sensitivity, traditional music in education, and bilingualism in multicultural kindergartens. Advising : Supervised 20+ theses, including studies on autism inclusion, Roma education, and creative workshops for special needs. Her recent work explores technology-enhanced learning for children with disabilities and curriculum design for intercultural competence. She also co-authored practical guides on ICT as Special Needs Support and Native Identity Development in Istrian contexts.
Per Ivar Kjaergård serves as an Associate Professor in the Department of Pedagogy, School of Teacher Education at NLA University College, Bergen. His academic career spans pedagogical theory, teacher training, and practical educational applications across Norwegian educational contexts. His educational background includes: Cand.Mag. degree (1998) from University of Bergen with majors in Business Economics, Social Sciences, Christianity, and Organizational Psychology Practical Pedagogical Education (PPU, 2005) from University of Stavanger Master's in ICT in Learning (2006) from Stord Haugesund University College Advanced courses in pedagogical guidance (2008-2009) and research methodology (2009-2010) Kjaergård's research integrates digital technology with traditional pedagogy, focusing on language acquisition, early childhood settings, and religious education. His work examines how digital tools transform classroom dynamics while maintaining core educational values, particularly within Norway's unique cultural and religious landscape. He emphasizes practical implementation over theoretical abstraction. Publication analysis reveals consistent exploration of technology-mediated teaching methods, with recent work addressing synchronous online challenges in early childhood education. This reflects broader shifts toward digital integration in Scandinavian teacher training programs, while maintaining attention to interpersonal aspects of pedagogy. His conference participation demonstrates active scholarly engagement, including presentations at the International Conference "The Future of Education" (2016) and NOELS research seminars on language education (2015). These contributions highlight his role in shaping contemporary pedagogical discourse in Nordic contexts. While no formal awards are documented, his dissemination activities show commitment to advancing educational practice through venues like NLA's minifagdag on pedagogy (2011). Information regarding student supervision, grant funding, or laboratory affiliations remains unavailable in current records.
Maria Salamo Llorente is an Associate Professor and researcher in the Department of Mathematics and Computer Science at the University of Barcelona (UB) . She leads the Teaching Innovation Group 'Innovació Docent en Matemàtiques i Informàtica' and is a core member of the Language and Computation Center (CLiC-UB) . Her career spans from postdoctoral work at University College Dublin to extensive contributions in artificial intelligence.
Srikanth Parameswaran serves as an Assistant Professor in the Management Information Systems area at Binghamton University's School of Management, where he conducts behavioral research at the intersection of information technology and human interaction. His work bridges theoretical frameworks with practical applications in digital innovation and health informatics. His academic credentials include: BS from Anna University MS and PhD in Management Science and Systems from the State University of New York at Buffalo Parameswaran's research program investigates how digital platforms shape human behavior, with particular emphasis on IT innovation diffusion, social media dynamics, and health technology outcomes. He pioneers methodological approaches combining meta-analytic structural equation modeling with advanced text mining techniques to analyze user-generated content across online platforms. His studies on gamification mechanisms and anonymity effects in employer review systems have established new paradigms for understanding technology-mediated social interactions. Analysis of his recent publications reveals three dominant research trajectories: (1) computational analysis of social media and review systems using NLP/machine learning, (2) health IT applications focusing on chronic disease management and online support communities, and (3) theoretical advancements in IT innovation diffusion models. His work consistently demonstrates methodological rigor while addressing pressing societal challenges in digital health and organizational behavior. His scholarly contributions have been recognized through: Poets & Quants Top 50 Best Undergraduate Business School Professor (2021) Best Paper Award 1st Runner Up at AMCIS (2017) Doctoral Consortium Fellowship at ICIS (2016) While his teaching portfolio spans web mining, social network analysis, and advanced statistics, the available documentation provides no details regarding doctoral student mentorship, research grants, laboratory facilities, or collaborative research teams.
Thi Tran is an Assistant Professor of Management Information Systems at Binghamton University's School of Management. Holding a PhD in Information Technology (cybersecurity) from the University of Texas at San Antonio, an MS in Information Technology and Management from the University of Texas at Dallas, and a BS in Business Administration from the University of Economics in Ho Chi Minh City, he specializes in cybersecurity research, misinformation harm mitigation, and behavioral-technical hybrid methodologies. Education: PhD in Information Technology (Cybersecurity) – University of Texas at San Antonio MS in Information Technology and Management – University of Texas at Dallas BS in Business Administration – University of Economics, Ho Chi Minh City His research focuses on cybersecurity issues , particularly misinformation harms during crises, social impacts of cyberattacks, and system designs to combat digital threats like phishing and fake social media accounts. His methodological toolkit combines behavioral surveys, experimental studies, machine learning applications (text mining, sentiment analysis, topic modeling), and NeuroIS (applied neuroscience in information systems). Recent publications address AI-generated misinformation, blockchain applications for fake news detection, and crisis-related digital harms. His work has appeared in journals like the International Journal of Information Management and IEEE Transactions on Professional Communication, with presentations at venues including IEEE Big Data, ICIS, and SKM conferences. Scientific Awards: Outstanding Doctoral Student Paper Award (WISP 2021) National Science Foundation (NSF) Research Grant As an educator, he teaches courses on cybersecurity, AI, IoT, blockchain, and data analytics within management information systems, emphasizing practical applications and emerging technologies. His work bridges technical solutions with human behavior analysis to tackle modern cybersecurity challenges.
Dalia Suša Vugec, PhD is an Assistant Professor at the Department of Informatics, Faculty of Economics & Business, University of Zagreb. She is actively involved in teaching and research within the field of business informatics, with a focus on digital transformation and business process management. Her educational background includes a graduation in managerial informatics in 2012 and a PhD earned in 2020, both from the University of Zagreb, Faculty of Economics & Business. She has also pursued additional education at the University of Ljubljana and University of Cambridge. Business Process Management Robotic Process Automation Digital Transformation Knowledge Management Digital and Information Literacy Artificial Intelligence Applications Her research output demonstrates a strong focus on business process management, digital transformation, and the intersection of technology with business processes. Recent publications explore robotic process automation, process mining, AI applications in knowledge management, and the digital literacy of students. Her work often examines practical implementations and case studies across various industries. Dean's Award for Excellence for graduate thesis (2012) Dr. Suša Vugec teaches various courses including Business Process Management Systems, Business Informatics, and Artificial Intelligence Systems in Business. Her teaching materials are delivered through Google Classroom, reflecting her practical approach to integrating digital tools in education. She has actively participated in numerous scientific projects and serves as a reviewer for international scientific journals and conferences.
Don Adjeroh is a Professor and Associate Chair in the Lane Department of Computer Science and Electrical Engineering at West Virginia University (WVU). He serves as Graduate Coordinator for CS programs and has led multiple NSF-sponsored projects including Bridges in Digital Health and Multi-Scale Integrative Approach to Digital Health . His research focuses span Machine Learning , Bioinformatics , Computational Biology , and Data Compression . NSF CAREER Award recipient Collaborated with institutions like University of Central Florida and University of Canterbury Led workshops on Plant Image Analysis and Long Non-Coding RNA research His academic contributions include co-authoring the book The Burrows Wheeler Transform: Data Compression, Suffix Arrays, and Pattern Matching (Springer, 2008) and developing software tools like BSMP and PSA for data compression and protein family modeling. He teaches graduate-level courses in String Algorithms and Information Theory , with former projects involving undergraduate and graduate students in DNA microarray image processing and 3D video compression research. Key Scientific Awards : NSF CAREER Award NASA-WV Space Consortium funding WV-EPSCOR grants NSF-CITeR support DOD-ONR/DHS/DOJ/NIJ/NHPRC sponsorships
Mihwa Park is an Assistant Professor in the Department of Curriculum and Instruction at Texas Tech University, specializing in STEM education. With a decade of middle school science teaching experience in South Korea and dual master's degrees in physics and science education, she earned her doctorate in Science Education from the University at Buffalo. Her research focuses on integrating assessments with educational technologies to enhance conceptual understanding in science, particularly through interactive computer simulations. Education: Dual Master’s in Physics & Science Education (South Korea), Doctorate in Science Education (University at Buffalo) Current Role: Assistant Professor, Department of Curriculum and Instruction, Texas Tech University Her research explores formative assessment strategies in STEM classrooms, emphasizing data-based decision making and the application of computer models. Recent projects analyze achievement emotions in physics education, cross-disciplinary energy concepts, and the use of simulation-based assessments. Her publications demonstrate a consistent focus on leveraging technology for deeper conceptual understanding and improving teacher practices through data analytics. Key Research Areas: STEM Education, Physics Learning, Educational Technology, Formative Assessment, Cross-Disciplinary Science
Faiz Currim serves as Professor of Practice in Management Information Systems and Assistant Director of the INSITE: Center for Business Intelligence and Analytics at the University of Arizona's Eller College of Management. He joined the institution in 2011 after six years at the University of Iowa, having earned his PhD from the University of Arizona in 2004. His educational background includes: PhD in Management Information Systems, University of Arizona (2004) Dr. Currim's research focuses on data modeling, security, privacy, and specialized management of healthcare, temporal, and spatial data systems. His work bridges database theory with practical applications in urban mobility, patient care, and workplace wellbeing through advanced techniques including deep learning, network science, and big data analytics. Current projects address real-world challenges in healthcare analytics and smart city infrastructure. Analysis of his recent publications reveals strong trends in applying artificial intelligence to healthcare cost prediction and urban transportation systems, with consistent use of heterogeneous data sources and machine learning frameworks across diverse domains from patient monitoring to bike-sharing optimization. His scientific recognition includes: Best Paper Award at IEEE 2nd International Smart Cities Conference (2016) Dr. Currim directs the INSITE center's initiatives in business intelligence while teaching core courses including Enterprise Data Management and Business Data Communications. His academic leadership spans curriculum development in data security, XML schema, and spatial database applications, with active collaboration across healthcare and urban planning domains. He maintains leadership roles in professional organizations including the Association for Information Systems (AIS), INFORMS, and Association for Computing Machinery (ACM), driving interdisciplinary research through the INSITE center's industry partnerships and analytics projects.
Dr. Lecturer Cengiz GÜNDÜZALP is a Turkish academic at Kafkas University's Kazım Karabekir Technical Sciences Vocational School , Department of Computer Technologies since 2012. Promoted to Assistant Professor in 2022, their work focuses on educational technology integration in STEM fields, particularly through Web 2.0 tools , interactive video , and artificial intelligence applications. Current roles: Assistant Professor (2022-), Lecturer (2012-2022) Institutional committees: Education and Ethics Commission (2023-), Academic Unit Quality Committee (2020-2021) Research interests include metacognitive skill development , digital game-based learning , and technology proficiency in teacher training. Their 15 most recent articles (2015-2025) examine: Augmented reality gamification in science education AI adoption frameworks for STEM teachers Interactive video effectiveness in web-based courses Project/resource-based teaching methods Robotics integration in education Collaboration network includes: Hüseyin Ateş (Kırşehir Ahi Evran University) Yüksel Göktaş (Atatürk University) Ezgi Pelin Yıldız (Kafkas University) Academic metrics: 36 publications, 89 citations, h-index 5 (YÖKSIS); Google Scholar: 162 citations, h-index 7.
Dr. A.A.A. Qahtan is an Assistant Professor in the Data Intensive Systems research group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. His academic appointment focuses on advancing research and education in data-intensive computing with particular expertise in data stream mining, data cleaning, and explainability of machine learning techniques. Dr. Qahtan completed his PhD studies at KAUST (King Abdullah University of Science and Technology) under the supervision of Xiangliang Zhang and Soujin Wang. Prior to joining Utrecht University, he worked as a postdoc at QCRI (Qatar Computing Research Institute) where he developed pattern functional dependencies (PFDs) for data cleaning. His research spans several critical areas in data science: Data Stream Mining and Real-time Processing Data Cleaning and Quality Assessment Pattern Recognition and Functional Dependencies Outlier and Anomaly Detection Concept Drift Detection in Streaming Data Fairness in Machine Learning Systems Missing Data Imputation Techniques Dr. Qahtan's publication record demonstrates consistent contributions to top-tier venues including PVLDB, KDD, ICDE, and SIGMOD. His recent work shows a progression from foundational data cleaning techniques to advanced applications in categorical data analysis, fairness in AI, and cryptocurrency market analysis. His research bridges theoretical foundations with practical applications across multiple domains. Dr. Qahtan actively contributes to academic education at Utrecht University, teaching courses including Data Analytics, Data Science and Society, Data Wrangling and Data Analysis, and Databases across multiple academic years from 2019 to 2024.
