جست‌وجوی استاد و پژوهشگر

• Medical Imaging
• Computer-Aided Diagnosis
• Machine Learning
• +۷ مورد دیگر

Giovanni Luca Masala is a Senior Lecturer in the School of Computing at the University of Kent, Canterbury, UK. His verified institutional email is g.masala@kent.ac.uk, and he maintains an active ORCID profile (0000-0001-6734-9424). Dr. Masala's research spans multiple interdisciplinary domains at the intersection of computer science and healthcare. His primary research interests include medical imaging, particularly mammography and diagnostic x-ray imaging; computer-aided diagnosis systems; machine learning applications in healthcare; biometrics and cloud computing security; neural networks for visual tracking; and natural language processing. His work demonstrates a consistent focus on applying advanced computational techniques to solve real-world medical and security challenges. Analysis of his publication record spanning from 2003 to 2025 reveals a clear research trajectory evolving from medical imaging and computer-aided diagnosis toward broader applications of artificial intelligence in healthcare. Early work focused on mammographic screening, thalassemia detection, and medical image analysis. More recent publications show expansion into assistive robotics for elderly care, stress detection using wearable devices, and natural language processing applications. His collaborative work appears across multiple high-impact journals in computer science, medical physics, and healthcare technology. Dr. Masala has established significant research collaborations with institutions across Europe, particularly in Italy, with numerous co-authored publications in medical imaging and AI domains. His work has appeared in reputable journals including IEEE Transactions, Medical Physics, Computer Physics Communications, and various MDPI publications. His research has practical applications in healthcare technology, particularly in computer-aided diagnostic systems, biometric security for cloud services, and driver monitoring systems. The interdisciplinary nature of his work bridges computer science, medical physics, and clinical applications, demonstrating translational research impact.

• Cybersecurity
• Software Security
• Mobile Computing
• +۲ مورد دیگر

Dr. Janaka Senanayake is a Lecturer in Cybersecurity at Robert Gordon University (RGU), attached to the School of Computing, Engineering and Technology. He is affiliated with the Cybersecurity Research Group and contributes to the university's 'Living in a Digital World' research theme. Dr. Senanayake completed his PhD in Cybersecurity at RGU, specializing in software security. He earned a Bachelor of Science (Special) in MIT with First Class Honors from the University of Kelaniya, Sri Lanka in 2017. Prior to joining RGU, he worked as a Software Engineer at DirectFN Pvt. Ltd. and NDB Bank Information Technology and R&D Department for approximately three years, and also served as a lecturer and researcher at several international universities. His research focuses on cybersecurity, software security, mobile computing, artificial intelligence, and software engineering. Dr. Senanayake has published extensively on Android security, AI-powered vulnerability detection, and network security solutions. His recent work demonstrates a strong emphasis on practical security applications using advanced AI techniques while addressing privacy concerns through approaches like federated learning. Dr. Senanayake has produced 23 publications from 2021-2025, with a significant concentration of high-impact work in 2024-2025. His research output shows a clear trajectory toward integrating cutting-edge AI technologies with practical cybersecurity applications, particularly in mobile and network security domains. His notable contributions include: MADONNA: A browser-based malicious domain detection system using optimized neural networks FedREVAN: Real-time detection of vulnerable Android source code through federated neural networks with XAI DroidKey: A framework for API key security in Android applications Research on integrating large language models for automated vulnerability scanning Dr. Senanayake is actively involved in PhD supervision with research topics including Software Security, Cybersecurity, Security and Artificial Intelligence, Mobile Security, and Law and AI. His industry background combined with academic expertise provides a valuable practical perspective to his research and teaching. He maintains active research collaborations, as evidenced by his numerous co-authored publications with researchers from different institutions, particularly focusing on cybersecurity challenges in both Western and Sri Lankan contexts.

• Cybersecurity and Privacy
• Artificial Intelligence
• Distributed Computing
• +۶ مورد دیگر

Dr. Keshav Sood is a Senior Lecturer at Deakin University's School of Information Technology, where he leads research in cybersecurity, AI, and next-generation networks. His affiliations include roles as Graduate Research Coordinator and South Asia Country Coordinator. He completed his PhD at Deakin University and a post-doctoral fellowship at the University of Newcastle. Research Interests: Dr. Sood focuses on securing distributed systems, with emphasis on: Federated learning for intrusion detection in IoT/5G networks Biometric privacy in immersive technologies (VR/AR) RF fingerprinting for IoT device authentication Quantum-resistant software-defined networks Adversarial robustness in voice authentication systems His publications consistently explore AI-driven security frameworks, with recent work addressing data sparsity in IoT sensors, cross-domain IIoT authentication, and phishing mitigation using large language models. Awards: Professor of IT Award (2016) IEEE TNSE Excellent Reviewer (2023) Deakin HDR Supervision Award (2023) Course Team Award for Industry Certification Alignment (2021) Supervision & Grants: Dr. Sood currently advises 8 graduate researchers and has secured $655,313 in competitive funding. Key projects include: Smart Farming Cyber Resilience (DFAT Maitri Grant) Secure Access for Critical Infrastructure (Cyber CRC) IoT Data Integrity for Defense Systems (Australian Defence) He leads the Deakin Cyber Research and Innovation Centre, focusing on scalable security solutions for industry partners.

• Deception detection
• Legal psychology
• Human resilience
• +۶ مورد دیگر

Bennett Kleinberg is an Associate Professor in Behavioural Data Science at the Department of Methodology and Statistics at Tilburg University (The Netherlands) and the Department of Security and Crime Science at University College London (UK). His academic journey includes a PhD from the Department of Psychology at the University of Amsterdam and a previous position at the UCL Dawes Centre for Future Crime. Professor Kleinberg's research revolves around the interplay between psychological research and computational methods to study human behaviour. His work addresses two key questions: How can computational methods enhance our understanding of the human mind and behaviour? And how can psychological research methods inform our understanding of computational model behaviour? His substantive research interests include deception detection and legal psychology, human resilience, and machine behaviour. In the Computational Psychology and Computational Methods (CPCM) Lab, his team collects data through psychological experiments and applies techniques from natural language processing, adversarial machine learning, and statistical modeling to better understand human behavior. His recent publications (2023-2025) demonstrate a strong interdisciplinary focus, spanning psychology, computer science, criminology, and AI research. Key trends include the application of computational methods to deception detection, analysis of large language models, and examination of human-AI interactions. His work often bridges theoretical psychological concepts with practical computational approaches, resulting in publications in high-impact journals across multiple disciplines. Scientific publications that use promotional language receive more citations Verbal deception detection enhanced through adversarial attacks Computational text analysis for identifying embedded lies Analysis of cognitive phenomena in large language models Applications of NLP to legal and security contexts Professor Kleinberg actively supervises students through limited positions to ensure close mentorship quality. His teaching responsibilities include the joint BSc in Data Science and the innovative MSc programme 'AI for Psychological Research.' The Computational Psychology and Computational Methods Lab offers structured pathways for PhD students, thesis projects, and research internships (minimum 6 months), with all projects required to align with the lab's core focus on computational methods to study human behavior and psychology.

• Information Behavior
• Personal Information Management
• Cultural Heritage Preservation
• +۴ مورد دیگر

Dr. Maja Krtalić serves as Associate Professor and Head of School at Victoria University of Wellington's School of Information Management. Originally from Croatia, she earned her PhD in Information Sciences from the University of Zadar in 2010, following earlier degrees at the Universities of Osijek and Zagreb. Prior to her current position, she was an assistant professor at the University of Osijek, Croatia (2004-2017). Her research focuses on three interconnected domains: information behavior (particularly among migrants, refugees, and tattooed individuals), personal information management in multilingual contexts, and cultural heritage preservation in both physical and digital environments. Dr. Krtalić has developed expertise in understanding how people manage personal collections during life transitions, with special attention to migration experiences and identity formation. Her recent publication record shows strong thematic continuity across her research interests, with a notable emphasis on multilingual information practices, tattoo-related information experiences, and death-related information management. She has published extensively in high-impact information science journals including Journal of Documentation, Journal of the Association for Information Science and Technology, and Library and Information Science Research. Dr. Krtalić actively contributes to the profession through editorial work with Archifacts (journal of ARANZ) and committee service including IT-019 Joint AS/NZS Committee, LIANZA Research SIG, NZ chapter of Information Review Group for recordkeeping standards, and RIMPA. As an educator, she teaches courses on records management, digital curation, and information access and use. Her current doctoral supervision focuses on rehabilitation patients' information behaviors, South Asian family migrants' information seeking, information systems, and community archives. She has secured research funding for projects examining refugee information needs and humanitarian migrants' post-settlement decision making.

• intercultural learning
• multilingual literature
• computer-assisted language learning
• +۲ مورد دیگر

Ekaterina Arshavskaya is a Full Professor in the Department of World Languages & Cultures at Utah State University, where she teaches English as a Second Language, Russian-English medical interpretation, and courses for the Master of Science in Second Language Teaching program. Her educational background includes: PhD in Applied Linguistics from Pennsylvania State University MA in Applied Linguistics from Montclair State University Dr. Arshavskaya's research focuses on intercultural learning , multilingual literature , computer-assisted language learning , critical pedagogy , and L2 teacher education . Her work emphasizes the integration of sociocultural perspectives and authentic student voices in language education, fostering inclusive and reflective teaching practices. Her recent publications explore the use of multilingual literature to enhance writing classes, intercultural learning among language teachers, and collaborative dialogues as open educational resources. These works reflect a strong commitment to innovative and socially engaged language teaching methodologies. She has been recognized with several awards, including: Fulbright Global Scholar, Spain, 2026 ETE Master Teacher Award, 2021 WLC Teacher of the Year Award, 2021 USU ETE Teaching Scholar Certificate, 2021 LPCS Undergraduate Faculty Mentor of the Year Award, 2020 As a dedicated educator, Dr. Arshavskaya has served as a mentor for graduate students, earning the Graduate Student Faculty Mentor of the Year award. Her Fulbright Global Scholar award for 2025-2026 will support her international research collaboration in Spain, furthering her work in language education and intercultural studies.

• Analytical Marketing
• Natural Language Processing
• Marketing strategy
• +۵ مورد دیگر

Lavy Khoushinsky serves as Assistant Professor in the Marketing Department at Laval University's Faculty of Administrative Sciences, where he maintains an active research program bridging analytical marketing, artificial intelligence, and consumer behavior. His work addresses critical contemporary challenges including ideological polarization in markets, healthcare access barriers, and ethical AI implementation. His educational foundation includes a Ph.D. from Smith School of Business, Master's in Sustainable Energy Policy from Carleton University, and Bachelor's in Communication from Concordia University. This interdisciplinary background informs his research approach that integrates technical marketing analytics with social impact considerations. Professor Khoushinsky's research program demonstrates remarkable thematic evolution from sustainable transportation (2019) through banking experience innovation (2020-2021) to his current focus on AI-consumer interactions in contested spaces. His 14 publications (2019-2025) reveal three dominant trajectories: AI-Mediated Consumer Interactions (50% of recent work): Examining chatbots, healthcare navigation systems, and accountability frameworks Ideological Market Dynamics (30%): Analyzing niche marketing in polarized environments and consumer discourse patterns Technology Adoption Barriers (20%): Studying privacy paradoxes, e-waste responsibility, and mixed-reality banking experiences His methodological approach combines computational linguistics with experimental design to address complex marketing phenomena. Through his teaching portfolio spanning Marketing Principles to AI applications, Professor Khoushinsky prepares students for evolving marketing landscapes. His course development emphasizes practical analytical skills while addressing contemporary ethical challenges in digital marketing. The collaborative nature of his publication record (80% co-authored) indicates strong team-based research practices and interdisciplinary connections across institutions.

• Portuguese Linguistics
• Brazilian Portuguese
• Discourse Markers
• +۷ مورد دیگر

Francesco Morleo is a Researcher in Portuguese/Brazilian Language, Translation, and Linguistics at the University of Naples L'Orientale's Department of Literary, Linguistic and Comparative Studies. His academic work spans multiple institutions including previous teaching positions at Chieti/Pescara University and the University of Salento. He currently teaches Portuguese Language II and III courses for the Linguistic and Cultural Mediation, Languages, Literatures and Cultures of Europe and the Americas, and Comparative Languages and Cultures degree programs. Morleo also serves as the Internship and AAF coordinator for the three-year degree course in Languages, Literatures, and Cultures of Europe and the Americas for students with surnames N to Z. His research interests focus on Portuguese linguistics with particular emphasis on discourse markers, linguistic variation in Portuguese and Brazilian Portuguese, corpus linguistics applications in language teaching, audiovisual translation, and the representation of Portuguese in cinema. Morleo has produced extensive scholarly work examining pragmatic aspects of Portuguese language use, linguistic phenomena in film dialogue, and translation challenges. His publications reveal a consistent focus on how Portuguese language functions in various communicative contexts, from political discourse to cinematic representation. Analysis of his recent publications shows a clear research trajectory centered on discourse analysis of Portuguese language, with increasing attention to multimodal contexts such as film and digital communication. His work demonstrates strong connections between theoretical linguistics and practical applications in language teaching and translation. Morleo's research often employs corpus-based methodologies to examine authentic language use, particularly in cinematic contexts. Member of AISPEB (Associazione Italiana Studi Portoghesi e Brasiliani) since 2014 Member of AItLA (Associazione Italiana di Linguistica Applicata) since 2022 Member of editorial board for "Atlântica, Luso-brazilian Linguistics, Philology, Translation and Interpreting Studies" As an active academic, Morleo has participated in numerous international conferences, often presenting on discourse markers, linguistic variation, and Portuguese language in cinematic contexts. He has served on organizing committees for major academic events including the VI Convegno AISPEB and the "Jorge de Sena cent'anni di eresia" conference. His research collaborations include participation in the international project "I-FALA Luso-Brazilian Film Dialogues" as corpus manager and involvement in the PRIN project "LEXECON" focused on economic language. Morleo maintains active engagement with academic communities through conference participation and editorial work, demonstrating his commitment to advancing research in Portuguese linguistics and translation studies.

Johanna Falby Lindellمشاهده پروفایل

استادیار

• Health Communication
• Conversation Analysis
• Doctor-patient communication
• +۵ مورد دیگر

Johanna Falby Lindell serves as Tenure Track Assistant Professor in the Department of Nordic Studies and Linguistics within the University of Copenhagen's Faculty of Humanities. Her research critically examines healthcare communication dynamics, with particular focus on interactions between healthcare professionals and migrant patients with and without interpreters, doctor-patient communication regarding antibiotics, and chronic care consultations for patients with previous cancer diagnoses. Dr. Lindell's educational trajectory spans multiple disciplines. She holds a Bachelor of Nursing from H:S Nursing School, Copenhagen (2004), with fieldwork conducted in Cambodia focusing on palliative care for women with HIV/AIDS. She earned a Bachelor of Human Geography from Gotland University, Sweden (2009), examining illegal immigration policies, and a Master in Psychology of Language from the University of Copenhagen (2013), analyzing rejection of humanitarian NGO campaigns. Currently, she is completing her PhD in Scandinavian Studies and Linguistics at the University of Copenhagen, investigating communicative pressure in doctor-patient conversations related to antibiotic use, with additional research experience at UCLA's Center for Language, Education and Culture. Her research expertise encompasses Health Communication, Conversation Analysis, Doctor-patient communication, Antibiotic resistance, Migrant health, Psychology of Language, and Linguistic diversity. Dr. Lindell employs Conversation Analysis methodology to examine authentic healthcare interactions, revealing how language barriers impact clinical outcomes and patient experiences. Her work demonstrates particular attention to power dynamics, cultural assumptions, and institutional constraints within healthcare communication. Analysis of her publication record reveals evolving research priorities, with early work focusing on antibiotic communication evolving toward broader examination of linguistic diversity in healthcare systems. Recent publications increasingly address policy implications, particularly regarding integration of foreign healthcare workers and sustainable solutions for language barriers in the Danish welfare state context. Her scholarship bridges theoretical linguistic frameworks with practical healthcare applications. Co-authored research on language-discordant cancer communication (2024) demonstrates communication breakdown patterns Investigated impact of user fees on medical interpretation services in Danish healthcare (2024) Contributed to public discourse on foreign healthcare worker integration (2023-2024) Examined digital wellbeing interventions in educational contexts (2024) Dr. Lindell actively contributes to research networks including 'Online sjælesorg' (Online Soul Care), a project examining existential conversations online. Her external position as Postdoc at the University of Southern Denmark since 2020 demonstrates cross-institutional collaboration. Media engagement shows commitment to translating academic findings into practical policy recommendations, particularly regarding language considerations in healthcare workforce integration.

Carmen Foughtمشاهده پروفایل

استاد

• Sociolinguistics
• Bilingual Language Acquisition
• Phonology
• +۲ مورد دیگر

Carmen Fought is a Professor of Linguistics at Pitzer College, where she has served since 1998 as part of the Linguistics Field Group with affiliations in Cognitive Science and Linguistics programs. Her academic credentials include a PhD from the University of Pennsylvania and BA/MA degrees from Stanford University. Professor Fought specializes in sociolinguistics, bilingual language acquisition, and phonology, with concentrated research on language-ethnicity intersections, gender dynamics in speech, and Mexican American linguistic identity. Her work critically examines societal prejudice against Spanish speakers and politicized language use in educational contexts. Recent publications analyze television dialogue authenticity, Mexican American identity representation, and youth gang language practices. Media engagements include commentary for the Los Angeles Times, Washington Post, and New York Times on linguistic discrimination and accent politics. No scientific awards are documented in the source material, though she has delivered plenary addresses at the Linguistic Association of the Southwest and VOX California workshops. Information regarding graduate student mentorship, research grants, or laboratory teams is not provided in the available text.

Lubomir Ivanovمشاهده پروفایل

استاد

• Natural Language Processing
• Authorship Attribution
• Virtual Reality
• +۳ مورد دیگر

Lubomir Ivanov is a Professor of Computer Science and current Chair of the Computer Science Department at Iona University, where he also serves as Game Development Coordinator and primary contact for all undergraduate programs. He joined Iona in 1999 after completing his academic training at Stevens Institute of Technology and has established himself as a versatile educator teaching courses ranging from computer architecture to virtual reality development. Education: Ph.D. in Computer Science, Stevens Institute of Technology M.S. in Computer Science, Stevens Institute of Technology B.S. in Computer Engineering, Stevens Institute of Technology Dr. Ivanov's research demonstrates exceptional interdisciplinary breadth, with dual pillars in Natural Language Processing and Applied Virtual Reality . His NLP work pioneers authorship attribution techniques using linguistic features from phonetic patterns (alliteration, assonance) to semantic dimensions (abstractness/concreteness), particularly for historical texts like Thomas Paine's writings. Simultaneously, his VR research creates impactful educational tools, including anti-bullying simulators with facial-expression recognition and mental health applications for non-suicidal self-injury assistance, reflecting strong collaborations with psychology departments. Analysis of his 15 most recent publications (2016-2024) reveals an evolving trajectory: early work focused on phonetic features for authorship analysis, progressively incorporating semantic and sentiment features, while his VR research matured from basic environments to sophisticated systems integrating real-time facial recognition and user experience optimization. Both strands consistently address real-world problems through computational methods. Scientific Awards: None mentioned in source material. Dr. Ivanov actively mentors students on research projects including the 'Bully' virtual environment and NSSI assistance software, securing collaborative grants with psychology departments. His leadership extends to university governance through the Faculty Senate and previous department chairmanship (2006-2009), alongside curriculum development for game development courses targeting non-CS majors. He directs a cross-disciplinary research ecosystem centered on the Game Development concentration, integrating computer science with education and psychology to create socially impactful technologies through ongoing VR and NLP innovation.

Mieko Sperbeckمشاهده پروفایل

دانشیار مدعو

• Second Language Acquisition
• Linguistics
• Japanese Language Pedagogy
• +۴ مورد دیگر

Mieko Sperbeck serves as an Adjunct Associate Professor in the Department of Modern Languages and Literatures at John Jay College of Criminal Justice, part of the City University of New York (CUNY) system. She has held this position since August 2013 and simultaneously teaches at Adelphi University's Department of Languages, Literatures, and Cultures since August 2010, demonstrating her commitment to language education across multiple institutions. Her educational background includes: Ph.D. in Linguistics from The Graduate Center, City University of New York (2010) M.Phil. in Linguistics from The Graduate Center, City University of New York (2007) B.A. in Asian Studies and Religion from Temple University, Philadelphia Dr. Sperbeck's research trajectory shows a clear evolution from foundational phonological studies to cutting-edge pedagogical applications. Her early work focused on cross-linguistic speech perception and production, particularly examining how Japanese learners of English acquire and process English consonant clusters, as evidenced by her 2011 publication. Her dissertation investigated "The acquisition of consonant clusters by Japanese learners of English," establishing her expertise in second language acquisition with a Japanese language focus. In recent years, her research has pivoted toward innovative language pedagogy, with a pronounced emphasis on technology integration. Her 2023-2025 publications reveal a strong interest in generative AI applications for language education, open educational resources like the "We Authors" project for second language writing, and task-based virtual exchange programs. She has published extensively on how AI narratives, CANVA collaboration, and the PACE model can transform language teaching practices, demonstrating her leadership in adapting to emerging educational technologies. Her notable achievements include: Research Foundation CUNY Travel Grant (2024) CUNY Adjunct Professional Development Grant (2023) Institute for Language Education in Transcultural Context Grant (2016-2017) The Sue Rosenberg Zalk Student Travel and Research Grant (awarded multiple years) As an educator, Dr. Sperbeck teaches Elementary and Intermediate Japanese levels (1-4) and Descriptive and Historical Linguistics. She serves on the project planning committee for the Boston X New York Study Group for Japanese Teachers (BNYSG), a professional learning community promoting inclusivity among Japanese language instructors. Her active participation in professional organizations including AATJ, ACTFL, NECTJ, and NYSAFLT underscores her commitment to advancing language education. Her current work focuses on text-based language instruction for late second language learners and exploring how generative AI can enhance language teaching practices to support diverse learners.

José Luis Alonso Berrocalمشاهده پروفایل

استاد

• Information Retrieval
• Web Cybermetrics
• Digital Libraries
• +۵ مورد دیگر

Professor José Luis Alonso Berrocal is affiliated with the University of Salamanca, where he works in the Department of Computer Science and Automation within the Faculty of Engineering. His research spans information systems, web technologies, and educational applications of computer science. Dr. Berrocal earned his PhD from the University of Salamanca with a thesis titled "Cibermétricos. Análisis de los dominios web españoles" (2001), supervised by Dr. Luis Carlos García de Figuerola Paniagua. His academic journey has positioned him at the intersection of computer science and information systems. His research interests focus on Information Retrieval , Web Cybermetrics , Digital Libraries , and Educational Technology . Dr. Berrocal has made significant contributions to understanding web structure, information retrieval systems, and the application of technology in education. His work often bridges theoretical computer science with practical applications in academic and research settings. Analysis of his publication history shows a consistent focus on information retrieval systems and web analysis techniques. His early work centered on foundational tools like SACARINO (a web crawling and processing system), while more recent research examines the structure of institutional websites, particularly in biomedical research centers. He has explored both theoretical aspects of information retrieval and practical implementations using libraries like Lucene. Active researcher in the SOCIOLOGICAL ANALYSIS GROUP Member of the UNIVERSITY INSTITUTE FOR SCIENCE AND TECHNOLOGY STUDIES PhD School affiliation: Logic and Philosophy of Science

• Digital technologies
• Social media
• Digital inequalities
• +۶ مورد دیگر

Christoph Lutz is a Professor at the Department of Communication and Culture at BI Norwegian Business School in Oslo. He also serves as co-director of the Nordic Centre for Internet and Society, positioning him at the forefront of digital society research in the Nordic region. His academic credentials include a Dr. oec. from the University of St. Gallen, reflecting his strong foundation in economic sciences with a digital focus. Lutz's research spans multiple critical areas in digital society, with primary interests in digital technologies, social media, digital inequalities, privacy, platform economy, and the social and ethical implications of emerging technologies such as artificial intelligence and social robots. His work examines how technological advancements reshape societal structures, individual behaviors, and institutional frameworks, with particular attention to power dynamics, inequality patterns, and ethical considerations. His research often employs comparative approaches across cultural, social, and national contexts, revealing nuanced understandings of digital phenomena that transcend mono-cultural perspectives. Analysis of Lutz's recent publications reveals consistent thematic threads across his work, with privacy and digital inequalities serving as foundational frameworks through which he examines diverse digital phenomena. His scholarship demonstrates a sophisticated integration of theoretical frameworks with empirical investigations, often employing mixed-methods approaches to capture the complexity of digital experiences. Notably, his work on digital nomadism provides rich insights into the human dimensions of remote work and mobility, while his research on short-term rental platforms examines the intersection of digital economy and community impacts. His contributions to understanding hybrid intelligence and human-AI collaboration represent cutting-edge explorations of emerging technological paradigms. Lutz actively contributes to academic knowledge dissemination through teaching courses on social media, digital business, social network analysis, theory, and human-technology interaction at BI Norwegian Business School. His engagement with the broader academic community is evident through regular presentations at leading international conferences and extensive publication in top-tier journals. He maintains an active scholarly presence through platforms including LinkedIn, Twitter, ResearchGate, and Mastodon, facilitating knowledge exchange beyond traditional academic boundaries. As co-director of the Nordic Centre for Internet and Society, Lutz plays a significant role in shaping research agendas and fostering collaboration on digital society issues across the Nordic region. His leadership in organizing special issues and thematic collections demonstrates his commitment to advancing methodological rigor and theoretical sophistication in digital society research. His work on comparative privacy frameworks has established important foundations for cross-cultural digital research, while his investigations into digital nomadism have illuminated understudied aspects of contemporary work-life integration in digital contexts.

Irmak Çiçek Gezekمشاهده پروفایل

مدرس

• English Language Teaching
• Second Language Acquisition
• Technology-Enhanced Language Learning
• +۱ مورد دیگر

Irmak Çiçek Gezek is an Instructor in the English Preparatory Division at Boğaziçi University, Istanbul, Turkey, teaching academic and general English to young adults and adults. She has been affiliated with the university since 2012, previously serving as a curriculum designer (2012-2016), and taught at Ankara University, TOMER from November 2008 to April 2011. Her educational qualifications include: B.A. in Translation Studies in English and Russian Language and Literature (double major) from Istanbul University (2008) CELTA (Certificate in Teaching English to Speakers of Other Languages) with PASS Grade A from International House, Newcastle (2017) English as Medium of Instruction Teacher Education Programme from the University of Oxford (2014) Teaching English as a Foreign Language Certificate Program from Istanbul University (2007-2008) Intensive Russian Summer Course from Moscow State University (2006) Her research focuses on innovative language pedagogy, emphasizing interactive teaching techniques and technology integration to foster authentic language experiences. She pioneered an extensive reading initiative using mreader.org for 600 students, reflecting her commitment to creating dynamic learning environments where students develop new perspectives and discover their abilities. Key interests include English Language Teaching, Second Language Acquisition, Technology-Enhanced Language Learning, and Extensive Reading. No scientific awards were referenced in the source material. Regarding academic mentorship, the text does not specify advised students. Her curriculum design role at Boğaziçi University (2012-2016) demonstrates leadership in academic program development, though no grants are mentioned. Information about research laboratories, collaborative teams, or specialized facilities was not provided in the source text.