Find Academic Supervisors

• Mobile Application Development
• Business Informatics
• Data Mining
• +6 more

Prof. Mathias Walther is a Professor of Business Informatics at Wildau University of Applied Sciences, specializing in mobile application development for eBusiness. He holds a doctorate from Martin Luther University Halle-Wittenberg, focusing on paralinguistic features in call center analysis. Previously, he worked as a research assistant, IT analyst, data scientist, and founder of an online travel portal. He lectures at two universities and is actively involved in research on mobile applications, speech therapy technology, and big data. Education: Studies in Business Informatics at Martin Luther University Halle-Wittenberg and University of Wollongong, UAE. Doctorate from Martin Luther University with a thesis on 'Automatic recognition of paralinguistic features for assessing call quality in call centers.' Research Interests: Cross-platform mobile technologies, decision support systems, text mining, speech data pattern recognition, simulation, and big data. Current projects include AphaDigital, a digital speech therapy solution for aphasia patients. Teaching: Courses include Mobile Applications, Business Intelligence, Data Mining, IT Strategic Management, and Database Systems across undergraduate and graduate levels. Awards: No scientific awards explicitly mentioned. Advising & Grants: Advises students on thesis topics like AI in manufacturing, digital therapeutics, and business analytics. Active in developing digital solutions for healthcare and enterprise processes. Labs/Teams: Leads the AphaDigital project, focusing on speech therapy through avatar-based digital platforms.

Collin McMillanView profile

Associate Professor

• Software Engineering
• Natural Language Processing
• Program Comprehension
• +3 more

Collin McMillan, Ph.D., is an Associate Professor of Computer Science at the University of Notre Dame's College of Engineering. He earned his Ph.D. from William & Mary under Denys Poshyvanyk. His research focuses on software engineering and natural language processing, particularly in automated documentation generation, program comprehension, and human-AI collaboration in code analysis. Education: Ph.D. in Computer Science (William & Mary), advised by Denys Poshyvanyk. His work integrates eye-tracking studies, neural networks, and graph-based models to improve code summarization and developer tooling. Research interests include source code summarization, developer behavior analysis, privacy behavior detection in Android apps, and tools for program comprehension. His lab, the Automatic Program Comprehension Lab (APCL), develops datasets and tools like CodeGRITS, available via Huggingface and GitHub. Publications span 2007–2025, emphasizing developer-centric AI models, code summarization techniques, and empirical studies on programmer attention. Key themes include context-aware models, eye-tracking integration, and LLM applications in software engineering. Awards: ASEE Teaching Award (2020), NSF CAREER Award (2015), Distinguished Paper Award (2021). Grants: NSF funding for AI/SE integration, totaling over $2.5M since 2015. Service: Associate Editor for TSE and EMSE, program committee roles at ICSE, FSE, and ASE. Current students include Maria Dhakal (2023), Robert Wallace (2023), and Chia-Yi Su (2022). Graduates have moved to faculty positions (e.g., Clemson University) and industry roles at Google, Qualtrics, and Ascend Health.

Francesca BianchiView profile

Associate Professor

• Corpus Linguistics
• Audiovisual Translation (Subtitling)
• English for Specific Purposes
• +3 more

Francesca Bianchi is an Associate Professor in the Department of Humanistic Studies at the University of Salento, Italy. She holds a degree in Translation from the University of Trieste (1995) and a Ph.D. in Linguistics from Lancaster University (2012). Her professional background includes freelance translation in ICT (1994–2003) and teaching English Language and Translation at the Universities of Genoa and Pavia (1998–2004). Since 2005, she has been affiliated with the University of Salento, where she teaches English linguistics, translation, audiovisual translation (AVT), and interpreting. Her research focuses on corpus linguistics, audiovisual translation, genre analysis, and technology-enhanced language learning. She has published over 60 works, including a monograph ( Culture, Corpora, and Semantics ) and edited volumes. She co-founded and co-coordinates the Unisalento Summer School of Audiovisual Translation (since 2013) and collaborates with the L3S Research Institute in Hannover on a web platform for translation/interpreting education. Bianchi served as a visiting professor at Ventspils University of Applied Sciences (Latvia, 2019–2021), teaching AVT and corpus linguistics. She coordinates national and international projects, including the PRIN-funded Informalisation of English Learning through Media (2022–2025) and the Erasmus+ IBTIKAR project (2021–2024). She is also on the editorial board of Lingue e Linguaggi .

Wael AbughresView profile

Assistant Professor

• Communication Networks Modelling
• Performance Engineering
• Reliability Engineering
• +6 more

Dr. Wael Abughres is an Assistant Professor of Communication Engineering at the University of Tripoli's Faculty of Engineering in Libya. He holds an M.Sc. in Electrical & Electronic Engineering (2000) from the University of Tripoli and a PhD in Communication Engineering (2009) from the University of Bradford, UK, focusing on Call Admission Control in 3G Cellular Networks. His research emphasizes network performance modeling, reliability engineering using MOSEL language, and wireless communication systems. He has published 12 journal/conference papers and served as Director of the Information & Communication Technology Centre at the University of Tripoli for four years. Education: M.Sc. (Electrical & Electronic Engineering), University of Tripoli (2000) PhD in Communication Engineering, University of Bradford, UK (2009) Research Interests: Focuses on communication networks, performance modeling with MOSEL, wireless systems, cloud networking, and open education resources. His work integrates queueing theory, fiber optics, and distance learning methodologies. Professional Roles: Director, Information & Communication Technology Centre (4 years) Member of technical committees Labs/Teams: Associated with the Networks and Performance Engineering Research Group during PhD studies at the University of Bradford.

Dan NickolaiView profile

Associate Professor

• Educational technology
• Romance language pedagogy
• Language proficiency assessment
• +3 more

Dan Nickolai is an Associate Professor of French and Director of the Language Resource Center at Saint Louis University's College of Arts and Sciences. His academic journey includes a Ph.D. and M.A. in Romance Language Pedagogy and French from Saint Louis University, and a B.S. in Computer Science from Webster University. He has over 15 years of experience in French instruction and instructional technology, advancing from Instructor (2008–2016) to Assistant Professor (2016–2021), and currently holds leadership roles in both education and technology. His research focuses on educational technology, CALL (Computer-Assisted Language Learning), and language proficiency assessment. Notable projects include the $325K NEH-funded iSpraak platform for pronunciation instruction and the OER-based Friend or Faux? textbook. He has secured grants totaling over $340K for digital humanities and language education initiatives. Dr. Nickolai is actively involved in professional organizations like IALLT (serving as President since 2023) and has authored/co-authored over 20 publications. His work emphasizes integrating speech-to-text technologies, such as ASR (Automatic Speech Recognition), into language learning. He has presented globally on topics like pronunciation instruction, technology-driven pedagogy, and adaptive assessments. He has received prestigious awards including the 2024 James H. Korn Scholarship and the 2019 Robert Henderson Memorial Award. Beyond academia, his technical expertise spans full-stack web development, with projects like SLUPE (adaptive placement exam) and Collocationizer (language collocation tool).

• Applied Linguistics
• English as a Second Language (ESL) Teaching
• Teacher Education
• +5 more

Dr. Heejin Chang is a Senior Lecturer (Pathways) at the University of Southern Queensland (UniSQ), affiliated with the UniSQ College's English Language department. She holds a BSc from Sookmyung Women's University (1988), an MA in TESOL from Sookmyung Women's University (2004), and a PhD from Newcastle University (2012). Her expertise spans applied linguistics, ESL/TESOL pedagogy, teacher education, intercultural communication, and pathways programs . Chang has held progressive roles at UniSQ since 2012: Associate Lecturer (2012–2015), Lecturer (2016–2024), and currently Senior Lecturer. She is actively involved in professional organizations such as the European Association for Computer Assisted Language Learning (EuroCALL) and the National Association of Enabling Educators of Australia (NAEEA). Her research emphasizes innovative language education strategies, particularly for multicultural and non-traditional student populations, and the integration of technology in learning environments. Chang has received notable awards, including the USQ College Learning and Teaching Award for Excellence in Teaching (2020) and two USQ Publication Excellence Awards (2017 and 2016) . She has contributed to grants focused on equitable assessments for incarcerated students, academic integrity frameworks, and intercultural competence development. Her work also explores the challenges faced by non-English speaking nursing students and CALD (Culturally and Linguistically Diverse) students in pathway programs. Her recent publications reflect a focus on intercultural communication, L2 speaking fluency, assessment design, and technology-free STEM education for incarcerated learners . She collaborates widely on projects addressing academic integrity, pedagogical innovation, and inclusive educational practices.

Zoran IvanovskiView profile

Professor

• Image Processing
• Speech Recognition
• Medical Imaging
• +3 more

Professor Zoran Ivanovski is a Full Professor and Head of the Institute of Electronics at the Faculty of Electrical Engineering and Information Technologies, University Saints Cyril and Methodius in Skopje, North Macedonia. He has held this position since 2016, advancing from Assistant Professor (2006–2011) to Associate Professor (2011–2016). His academic journey includes a Ph.D. in Electronics (2006), M.Sc. in Electronics (2000), and B.Sc. in IT and Automation (1990), all from the same university. His research focuses on image processing , speech recognition , medical imaging , and machine learning applications . Notable projects include real-time traffic analysis systems, automated media transcription, and quality control for medical imaging. He leads initiatives such as the Road Tax Payment Control System (funded by EBRD) and systems for object recognition using LIDAR and RGB-D data. Recent publications span hybrid CNN-DSP algorithms, real-time vehicle detection, and medical imaging advancements. His work emphasizes practical applications in healthcare, transportation, and assistive technologies.

Wael AbughresView profile

Assistant Professor

• Communication Engineering
• Modelling of Communication Networks
• Performance Engineering
• +6 more

Wael Abughres is an Assistant Professor of Communication Engineering at the Faculty of Engineering, University of Tripoli, Libya. He holds an M.Sc. in Electrical & Electronic Engineering (2000) and a Ph.D. in Communication Engineering from the University of Bradford, UK (2009), focusing on Call Admission Control in 3G Cellular Mobile Networks. His research emphasizes performance modeling, networking, and reliability engineering using tools like MOSEL language. Education: M.Sc. (2000) and Ph.D. (2009), University of Bradford. Teaching Experience: He has taught courses in Mathematics, Control Systems, Telecommunication, Programming (e.g., Numerical Techniques, Computer Programming), and Networking (e.g., Data Communication, Active Networks) at both BSc and MSc levels in Libya and the UK. Notable roles include Director of the Information & Communication Technology Centre at the University of Tripoli for four years. Research Interests: Focus on communication networks, wireless systems, cloud computing, and distance learning. Has published 12 journal/conference papers in these areas.

Teresa Cerratto-PargmanView profile

Professor

• Educational Technology
• Human-Computer Interaction (HCI)
• Digitalization in Education
• +3 more

Teresa Cerratto-Pargman is a full Professor of Human-Computer Interaction at Stockholm University's Department of Computer and Systems Sciences. She previously led the Interaction Design and Learning (IDEAL) research unit and is currently Associate Director of Societal Outreach for Digital Futures. Her work bridges Educational Technology and HCI, focusing on digitalization's impact on education and societal practices. She holds a PhD in Cognitive Psychology from Université Paris 8, France, and has held visiting roles at UC Irvine and KTH Royal Institute of Technology. Research Interests: Dr. Cerratto-Pargman explores how digital technologies disrupt and create new educational practices. Her work emphasizes critical lenses on computing in education, including ethical AI in higher education, sustainability in HCI, and material conditions shaping learning. Her projects address societal challenges like AI ethics, digital assessment, and eco-village sustainability. Grants & Leadership: PI of WASP-HS-funded projects on AI ethics in education and Swedish Research Council grants on sociotechnical imaginaries. She led EU Horizon 2020, NordForsk, and national grants with schools, museums, and industry. Served on editorial boards for Designs for Learning and International Journal of Research and Practice in Technology Enhanced Learning. Teaching: Program Director for the Master's in Design for Creative and Immersive Technologies. Teaches Behavioral Sciences, HCI, and Evaluation Methods. Past roles include managing Stockholm University's Interaction Design Bachelor Programme and doctoral courses in HCI and Mobile Learning. Awards: 2013 Stockholm University grant for female academics. Recognized for editorial work and conference leadership (e.g., DIS 2018 Technical Chair). Labs & Collaborations: Active in Stockholm University's interdisciplinary research networks. Collaborates globally on projects like citizen observatories and AI-driven assessment innovations.

• Inter-cultural Studies
• Ethnicity and Race Studies
• Discourse Analysis
• +6 more

Louise Tranekjær is an Associate Professor at Roskilde University's Department of Communication and Arts, serving as Head of the Language Profile and Head of the Research Group Language and Learning. She holds a Ph.D. in Intercultural Studies and an MA. Her work focuses on categorization processes related to ethnicity, race, and identity, examining their role in inclusion/exclusion dynamics within labor markets and education. Using discourse and conversation analysis, she explores how identities and social relations are negotiated through interactional resources like humor. Key research areas include intercultural communication, workplace language learning, and the intersection of culture and pedagogy. She leads projects such as 'Language and Cultural Cognition' and 'Varig Tilknytning til Arbejdsmarkedet,' addressing language policies and professional integration. Her recent outputs emphasize digital tools for language learning and global citizenship education. Education: Ph.D. in Intercultural Studies, MA Key Projects: Language and Cultural Cognition (2021–present), Læring på Spil (2020–2021) Awards/Activities: Over 70 academic activities including lectures, workshops, and peer reviews. Notable media engagement includes a 2023 article on language learning through games. Her work bridges theoretical discourse analysis with practical applications in education and workplace settings, advocating for inclusive communication strategies. She collaborates internationally, contributing to edited volumes on framing analysis and intercultural understanding.

Tetiana TytkoView profile

Researcher

• Computer-Assisted Language Learning (CALL)
• Instructed Second Language Acquisition (SLA)
• Technology-Mediated Task-Based Language Teaching (TBLT)
• +2 more

Tetiana Tytko is a Graduate Assistant II in the Second Language Acquisition program at the University of Maryland's School of Languages, Literatures, and Cultures. She holds a Master's in English Language and Literature from Chernivtsi National University (Ukraine) and an M.A. in Applied Linguistics from Ohio University. Her research focuses on the intersection of Computer-Assisted Language Learning (CALL) and instructed Second Language Acquisition (SLA), particularly exploring technology-mediated Task-Based Language Teaching (TBLT), L2 vocabulary acquisition, and multimodal input processing. She has presented at conferences like AAAL, TESOL, SLRF, and CALICO. Recent work includes a co-authored methodological paper in Research Methods in Applied Linguistics introducing AI-powered tools for meta-research, supported by a Faculty-Student Research Grant from the Graduate School. Her publications appear in journals such as Journal of English for Academic Purposes , System , and TESL-EJ .

• English for Academic Purposes (EAP)
• Blended Learning
• Educational Technology
• +3 more

Kinga Maior is a Lecturer in Modern Foreign Languages at the University of Glasgow , with additional responsibilities as an Associate Tutor in Creativity Culture & Faith . She has been teaching English for Academic Purposes (EAP), academic study skills, and research methods at institutions such as INTO Newcastle, Kaplan International, and the University of Glasgow since 2011, and has supervised TESOL students since 2018. Her research focuses on: Integrating online platforms like Padlet and Socrative into blended EAP classrooms Enhancing formative and summative assessment through digital tools Structured collaboration and interactive feedback mechanisms Application of virtual environments (e.g., Second Life, Gather Town) for language skill development Vocabulary acquisition in gamified/multimodal settings Recent conference engagements include: 2021 BALEAP Conference (Glasgow): Lightning talk on Padlet for EAP homework feedback 2020 BALEAP PIM (Kent): Workshop on Socrative for EAP assessments 2021 BALEAP PIM (Northumbria): Workshop on Padlet for tutor-student interaction 2017 EAP Conference (St. Andrews): Presentation on Padlet/Socrative for academic writing

• Language Learning
• Multimedia
• Speech & Language Technologies
• +3 more

Jong Hyun Lee is a Senior Lecturer in the School of Modern Languages at Georgia Institute of Technology. He holds a master’s degree in English linguistics from Yonsei University and another in Computer-Assisted Language Learning (CALL) from Carnegie Mellon University. His research focuses on speech and language technologies, automaticity in language learning, and multimedia content for education. He specializes in instructional technologies for foreign language acquisition, particularly in Korean linguistics and study-abroad programs. Education: Master’s in English Linguistics, Yonsei University Master’s in Computer-Assisted Language Learning (CALL), Carnegie Mellon University His teaching portfolio includes courses ranging from elementary to advanced Korean language instruction, business Korean, and special topics in Korean culture and industry. He actively contributes to the Korean Language Bridge Abroad Training (LBAT) program. His 2023 publication explores service-learning methodologies in Korean language education, highlighting practical applications of technology and pedagogical innovation. Awards: No awards explicitly mentioned. Advising/Grants: No specific advising roles or grants detailed in the text. His professional contributions include curriculum development and industry collaborations in speech technology. Labs/Teams: Involved with the Korean Language Bridge Abroad Training (LBAT) program, supporting study-abroad initiatives for Korean language learners.

Ufuk BalamanView profile

Associate Professor

• Applied Linguistics
• Multimodal Conversation Analysis
• Technology-Enhanced Language Learning
• +6 more

Ufuk Balaman is an Associate Professor in the Department of Foreign Language Education – English Language Education at TED University, Ankara, Turkey. He leads the TEDU CAN (Conversation Analysis Research Group) and coordinates the DigiLTE project. His research focuses on multimodal conversation analysis in digital spaces, particularly in second language learning and teacher education. He has held visiting researcher positions at the Centre de linguistique appliquée, Université de Neuchâtel, and previously worked at Kırıkkale University and Hacettepe University. His educational background includes roles as an associate professor and instructor in English language education. His research areas span applied linguistics, CALL, and TBLT, with a focus on video-mediated interactions, online collaboration, and teacher education. He has authored a book on conversation analytic language teacher education in digital spaces and contributed to journals like System and TESOL Quarterly . Dr. Balaman’s work emphasizes the role of digital tools in language education, including virtual exchange, telecollaboration, and hybrid learning environments. He has advised 15 theses and actively engages in international projects and conferences. His recent studies explore interactional competence development, video-mediated pedagogy, and the integration of translanguaging in multilingual classrooms. He holds over 67 publications with a citation count of 344 (WoS) and an H-index of 12. His research aligns with UN Sustainable Development Goals and addresses challenges in technology-enhanced language learning and global educational equity.

Zoey Zhiyu ChenView profile

Assistant Professor

• Artificial Intelligence
• Natural Language Processing
• Healthcare Technology
• +3 more

Zoey Zhiyu Chen is an Assistant Professor in the Department of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. Her research focuses on advancing artificial intelligence, particularly in natural language processing (NLP), healthcare technology, financial technology, and dialogue systems. She explores the application of large language models (LLMs) in critical domains such as mental health therapy, cognitive behavior therapy (CBT), and finance, emphasizing robustness and ethical considerations. Key research areas include hypothesis discovery, rule learning, patient simulation for mental health training, and improving medical predictions through multimodal data analysis. Her work also addresses challenges in retrieval-augmented models, agentic search optimization, and zero-shot dialogue state tracking. Chen’s contributions span theoretical advancements in AI reasoning and practical applications in societal domains like law and healthcare. Her articles highlight trends in leveraging LLMs for clinical support, financial analysis, and improving human-AI interaction through preference learning and function calling mechanisms. She advocates for responsible AI development, as seen in studies on energy efficiency benchmarks (Hulk) and domain-specific robustness (RobustFin).