Find Academic Supervisors

• Machine Learning
• Deep Learning
• Computer Vision
• +7 more

Guy Hembroff serves as an Associate Professor in the College of Computing at Michigan Technological University, where he directs both the MS in Health Informatics program and the interdisciplinary PhD in Computational Science & Engineering program. His academic leadership spans computational health sciences and biomedical data science initiatives. Education: PhD in Computational Science and Engineering, Michigan Technological University MPA in Public Administration, Northern Michigan University BS in Finance and Economics, Michigan Technological University Hembroff's research focuses on human health applications of artificial intelligence, particularly in medical image analysis, natural language processing, and cybersecurity. His work bridges clinical needs with computational solutions through projects like fracture risk prediction from radiographs, lung nodule classification, and mental health intervention modeling. The Biomedical Data Science (BDS) Lab he founded integrates expertise across medicine, data science, and cybersecurity to tackle healthcare challenges. His recent publications demonstrate strong trends in applying deep learning to medical imaging (35%), natural language processing for health literacy (20%), and mental health analytics (15%), with growing emphasis on generative AI applications since 2023. Key methodological approaches include multitask learning, transformer models, and ensemble techniques tailored for healthcare data. Doctoral Advising: Harikrishnan C. (Medical Image Segmentation using AI) Chethana Kadirimangalam (Mental Health Intervention Modeling) Abel Reyes (Medical Image Segmentation and Computer Vision) Tim Van Wagner (Blockchain for Patient Data Auditing) Hembroff leads multiple externally funded research initiatives including the Tick-Talk geographical tick disease monitoring system (MI-SAPPHIRE grant), FHIR-enabled health information exchanges, and mental health intervention optimization models. His BDS Lab maintains active collaborations with Henry Ford Hospital and nonprofit healthcare networks for real-world implementation of health informatics solutions. The Biomedical Data Science Lab operates as a multidisciplinary hub combining clinical expertise with computational innovation. Current projects span physical and mental health domains, with particular focus on disease progression modeling, clinical decision support systems, and secure health data architectures. The lab's work directly informs both graduate curriculum development and healthcare industry partnerships.

Carla Teixeira LopesView profile

Associate Professor

• Information Retrieval
• Human-Computer Interaction
• Health Informatics
• +4 more

Carla Teixeira Lopes is an Associate Professor in the Department of Informatics Engineering at the Faculty of Engineering, University of Porto (FEUP), and a Senior Researcher at the Institute for Systems and Computer Engineering, Technology and Science (INESC TEC). Her career spans academic and research roles, blending expertise in information retrieval with human-computer interaction to enhance digital accessibility. Ph.D. in Informatics Engineering (2013), FEUP M.Sc. in Information Management (2005), FEUP B.Sc. in Informatics Engineering and Computing (1999), FEUP Her research focuses on improving online health information retrieval and leveraging linked data for cultural heritage preservation. She develops tools to optimize search behavior, readability assessment, and semantic archival systems. Recent work includes applications of large language models (e.g., Llama 3, GPT) for text simplification and entity linking. Carla’s publications reflect interdisciplinary trends in Natural language processing Health informatics Linked data architectures Archival modernization Image metadata frameworks She contributes to digital library practices and gender balance studies in informatics academia. As a Senior Researcher at INESC TEC, she bridges academic and applied research, emphasizing user-centric design and data interoperability. Her email is ctl@fe.up.pt .

Carla Teixeira LopesView profile

Assistant Professor

• Information Retrieval
• Human-Computer Interaction
• Web Search Behavior
• +3 more

Carla Teixeira Lopes is an Assistant Professor in the Department of Informatics Engineering at the University of Porto, Portugal, and a Senior Researcher at INESC TEC's Human-Centered Computing and Information Science Centre since May 1, 2014. She completed her PhD in Informatics Engineering from the University of Porto in 2013. Her research focuses on the intersection of information retrieval and human-computer interaction, with particular emphasis on information search behavior and the development of tools to enhance search effectiveness. Recently, she has concentrated on how context can improve health consumers' web search experience. Her recent publications demonstrate strong expertise in natural language processing, particularly in text readability assessment, text simplification using LLMs, cross-lingual entity linking in medical contexts, and Wikipedia quality assessment. Her work spans multiple disciplines including computer science, medical informatics, and information systems. Dr. Lopes has supervised multiple graduate students on diverse topics including non-machine-readable document analysis, linked data in cultural heritage, FAIR principles implementation, and health-related message categorization in online communities.

Dursun AksuView profile

Associate Professor

• Turkish Language Teaching
• Primary Education
• Initial Literacy
• +13 more

Assoc. Prof. Dr. Dursun Aksu is a faculty member at Sakarya University, Faculty of Education, Department of Basic Education. He holds the academic rank of Associate Professor and is actively engaged in teaching, research, and administrative leadership, currently serving as Deputy Dean of the Faculty of Education (2024–2025) and Head of the Department of Classroom Teaching (2022–2024). His research interests include Turkish language teaching, initial literacy, reading and writing instruction, textbook analysis, educational quality, and comparative education. He has authored numerous articles, books, and book chapters, and has participated in national and international research projects. His recent publications focus on challenges in distance literacy education, readability of Turkish textbooks, reflective teaching practices, and the impact of educational tools like pencil grips and smartboards. His work often involves comparative studies, particularly between Turkey and Hong Kong. He has supervised multiple master's theses and advised TÜBİTAK-supported student projects. He is actively involved in peer-review and editorial roles for various academic journals and conferences. Scientific Awards: Takdir Belgesi - 2004 Teşekkür Belgesi He teaches both undergraduate and graduate courses such as Turkish Language Teaching, Primary Reading and Writing Education, Neurological Basis of Reading, and Problems and Solutions in Turkish Language Teaching.

• Software Engineering
• Code Readability
• API Compatibility
• +5 more

Rocco Oliveto is a prominent researcher in software engineering with extensive contributions across multiple domains including code quality assessment, smart contracts, Docker configuration analysis, and healthcare applications of AI. His collaborative work spans numerous institutions, with frequent co-authorship with researchers such as Simone Scalabrino, Gabriele Bavota, and Emanuela Guglielmi. Dr. Oliveto's research interests focus on practical software engineering challenges with emphasis on code readability, API compatibility, bug prediction, and smart contract maintenance. His work bridges theoretical research with practical applications, particularly evident in recent projects applying machine learning to healthcare diagnostics and video game quality analysis. His research demonstrates a consistent trajectory toward addressing real-world software engineering problems with innovative methodological approaches. Analysis of his recent publications reveals a strong trend toward interdisciplinary research, particularly at the intersection of software engineering and healthcare applications. His work shows increasing focus on practical applications of AI in medical diagnostics, rehabilitation technology, and patient monitoring systems, while maintaining strong contributions to core software engineering topics like code quality and developer productivity. The diversity of publication venues—from top software engineering journals like Empirical Software Engineering and ACM TOSEM to healthcare conferences like BIOSTEC—demonstrates the breadth of his research impact. Dr. Oliveto has demonstrated significant research leadership through numerous collaborative projects, particularly evident in his participation in the QualAI project focused on continuous quality improvement of AI-based systems. His work shows consistent funding support through collaborative research initiatives that bridge academic and practical software engineering concerns.

• Information Technology Education
• Instructional Design
• Educational Technologies
• +1 more

Dr. Fatma KESKİNKILIÇ is an Associate Professor at the Vocational School of Technical Sciences , Kırşehir Ahi Evran University , specializing in Information Technology Education , Instructional Design , and Computer & Educational Technologies Education . With over 15 years of full-time academic service since 2009, she has led educational robotics initiatives, nature-integrated STEM projects, and digital literacy research. PhD in Educational Technologies (Gazi University, 2014) MSc in Computer & Educational Technologies Education (Gazi University, 2008) BSc in Computer Education & Instructional Technology (Gazi University, 2006) Her research program bridges robotics education , web design , and computational thinking , focusing on student engagement and anxiety reduction in programming education. She has developed AI literacy frameworks for associate degree students and evaluated digital parenting awareness. Key publications between 2018-2025 reveal trends in nature-based learning (2022-2025), cyberbullying analysis (2025), and text readability studies (2023). Her work appears in journals like International Journal of Computer Science Education in Schools and conferences including the International Eurasian Educational Research Congress. 2008/2009: Ministry of National Education Appreciation Certificates 2017-2024: Collaborations with Dr. Filiz Kalelioğlu on programming education 2025: Primary advisor for Hülya Şahin's thesis on cyberbullying Projects include TÜBA/TÜBITAK-supported nature-integrated STEM (2021-2022), Stem Robotics for Teachers (2018), and Big Data Methods in Instructional Design (2016).

Juliane FluckView profile

Professor

• Biomedical Informatics
• Information Management
• Semantic Data Integration
• +5 more

Juliane Fluck serves as Head of the Knowledge Management Program Area and Acting Deputy Scientific Director at ZB MED Information Center for Life Sciences, while also holding a W2 Professorship for Information Management at the Faculty of Agriculture, University of Bonn. She coordinates the National Research Data Infrastructure for Personal Health Data (NFDI4Health) consortium and has led this initiative since 2020. Her research focuses on optimizing the findability, accessibility, interoperability, and reusability (FAIR) of biomedical data through semantic integration and advanced terminology services. With expertise spanning text mining, data infrastructure development, and semantic annotation, she bridges computer science and life sciences to create systems that make biomedical data semantically readable for computers. Analysis of her recent publications reveals strong emphasis on synthetic health data generation, privacy protection mechanisms, FAIR data implementation across domains including agriculture (FAIRagro), and specialized terminology services for biomedical research. Her work consistently addresses challenges in health data management, with particular attention to pandemic response data (especially COVID-19) and rare disease research. Prof. Fluck actively contributes to critical advisory roles including the Advisory Board of the Center for Cancer Registry Data at the Robert Koch Institute, Scientific Advisory Board of Health.AI, and the INA expert group for Interoperability Generator for Digital Medicine. She heads the Knowledge Management program area at ZB MED and leads multiple national initiatives including NFDI4Health, demonstrating significant leadership in Germany's research data infrastructure landscape. Her work connects academic research with practical implementation in health data management systems used by researchers and clinicians.

Bomi LeeView profile

Lecturer

• Teaching Korean as a Foreign Language
• Linguistics
• Language Acquisition
• +3 more

Bomi Lee is an Adjunct Instructor in the Department of Russian and East Asian Languages and Cultures at Emory University. She holds a Master of Arts in Korean Language and Literature from Yonsei University (2018) and is a Ph.D. candidate at the same institution. Her research focuses on Korean language education, sociolinguistics, and computational linguistics, with a particular emphasis on learner corpus analysis, AI-driven language tools, and second language acquisition. Education: M.A., Yonsei University (2018); Ph.D. Candidate, Yonsei University Her research interests span teaching methodologies for Korean as a foreign language, sociolinguistic patterns in address term usage, and computational models for analyzing learner language. She has contributed to projects such as the 'Construction of Korean Learner Corpus' and 'Building AI-Based Korean Language Learning Services.' Her publications and presentations address topics like lexical density in learner speech, textbook readability, and formulaic approaches to text difficulty measurement. She actively engages in collaborative research funded by institutions like the National Institute of the Korean Language and the National Research Foundation of Korea. Grants/Projects: National Institute of the Korean Language (2016-2020), King Sejong Institute Foundation (2020), National Research Foundation of Korea (2020-2021) She is affiliated with Emory’s Modern Languages Building and maintains an office for advising and consultations.

Annette KinderView profile

Professor

• Cognitive Psychology
• Artificial Grammar Learning
• Numerical Processing
• +3 more

Annette Kinder is a Professor of Psychology of Learning (W2) at the Department of Education and Psychology, Freie Universität Berlin. She has held this position since 2010, following a Heisenberg Fellowship (2004–2010) at the University of Potsdam and a substitute professorship at the same institution in 2008. Her academic journey includes roles as a university assistant at Philipps-Universität Marburg (1999–2004) and research associate in a DFG project on associative learning (1995–1999). She obtained her habilitation in psychology (specializing in general psychology) in 2003 and completed her PhD in 1996 at Philipps-Universität Marburg with a scholarship from Hessian Promotion for Junior Researchers. Research Interests: Cognitive Psychology Artificial Grammar Learning Numerical Processing Educational Diagnostics Machine Learning in Education Neurocognitive Poetics Scientific Awards: Heisenberg Fellowship (2004–2010) Teaching: She has taught courses like 'Pädagogische Diagnostik' (Educational Diagnostics) and research colloquia for qualifying theses since 2018/2019, focusing on cognitive and educational psychology.

María Araceli Casasola BalsellsView profile

Professor

• Financial Economics
• Accounting
• Social and Environmental Accounting
• +3 more

María Araceli Casasola Balsells is a Professor at the Universidad Pablo de Olavide in the Department of Financial Economics and Accounting. She is affiliated with the Social and Environmental Accounting Research Center (CICSMA) and leads the research group INFORMACIÓN, ENTORNO Y CAMBIO ORGANIZATIVO. Her academic work focuses on financial communication, corporate legitimacy, and readability analysis of corporate disclosures. Research Themes: Historical evolution of corporate narratives Environmental and social accounting Educational technology in financial education Web accessibility standards Legitimacy theory in petroleum/telecommunications sectors Academic Contributions: Her 2007 doctoral thesis on chairman's letters as legitimacy tools in CEPSA and REPSOL-YPF remains foundational. She has published extensively on GRI sustainability reporting, gamification pedagogy, and digital accessibility policies.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +8 more

Marijn Schraagen is an Assistant Professor in Natural Language Processing at Utrecht University's Faculty of Science, specifically within the Information and Computing Sciences department. His academic work bridges computational linguistics with practical applications across multiple domains including healthcare, law, and cultural heritage. His research interests focus on the application of machine learning methods to large collections of text and speech data. Schraagen has developed expertise in Dutch language processing with specific applications in clinical settings, legal contexts, and historical language analysis. Notably, within the Goallab at the department of Social, Health and Organizational Psychology, he contributes to developing machine learning models for detecting and preventing low literacy among Dutch children. His publication record demonstrates consistent research activity from 2010 through 2025, with recent work showing particular strength in legal text analysis, clinical NLP applications, and historical language processing. His articles reveal a pattern of interdisciplinary collaboration, working with researchers from psychology, public health, law, and social sciences to address real-world problems through NLP solutions. Schraagen has received research funding from diverse sources including Anders AI Lab, NWO Ai-NEDXS, the National Police, and the Royal Library. His projects include developing AI tools for literacy detection, analyzing protest events in social media, and creating systems for processing historical Dutch texts. He teaches courses in computational thinking, knowledge-intensive process analysis, and methods in AI research, contributing to both the theoretical and practical education of students in the field of artificial intelligence and natural language processing.

Anisia KatinskaiaView profile

Researcher

• Natural Language Processing
• Language Learning
• Grammatical Error Correction
• +4 more

Anisia Katinskaia is a doctoral researcher at the University of Helsinki, holding dual affiliations with the Department of Digital Humanities and Department of Computer Science. Her research bridges computational linguistics and language education, focusing on practical applications of natural language processing to enhance language learning experiences. She actively contributes to the academic community through publications in major computational linguistics conferences and participation in significant research projects. Dr. Katinskaia's research interests center on natural language processing applications for language learning, with particular expertise in grammatical error correction, text difficulty assessment, and intelligent tutoring systems. Her work demonstrates a strong focus on applying transformer models and large language models to solve practical challenges in language education, with notable contributions in Russian and Tatar language processing. She has developed innovative approaches for assessing grammatical correctness, estimating text difficulty, and creating adaptive learning tools that respond to individual learner needs. Analysis of her publication record shows a clear trajectory from foundational work in grammatical error detection (particularly for Russian language) toward more sophisticated applications of modern language models like GPT-3.5 and transformer architectures. Her recent work demonstrates increasing sophistication in probing linguistic capabilities of AI models and developing practical educational applications, with a growing emphasis on minority languages like Tatar. The interdisciplinary nature of her research connects computational linguistics with educational theory and cognitive science. Dr. Katinskaia has received significant recognition for her work, including: Best Paper Award (2018) Outstanding paper award (2023) The Open Science Award (2018) She is actively involved in multiple research projects including Know-AI (funded by the Academy of Finland), Revita: Language learning and AI, LLL: Language Learning Lab, and Easy Language for accessible workplace (funded by Business Finland). Her collaborative approach is evident through her work with researchers like Yangarber, Hou, Vu Anh, and others across multiple projects and publications. She regularly presents her research at international conferences and has participated in prestigious events like the Lisbon Machine Learning School. Dr. Katinskaia is a key member of the Language Learning Lab research group at the University of Helsinki, where she contributes to developing cutting-edge tools that apply AI to language education challenges. Her work on the Easy Language project specifically targets making workplace communication more accessible through language technology solutions.

Jessica SparksView profile

Assistant Professor

• News media trust
• News credibility
• Open records
• +4 more

Jessica Sparks serves as Assistant Professor of Journalism in Auburn University's School of Communication & Journalism, researching news trust, credibility, transparency, and college media independence. Previously at Savannah State University, she led journalism programs and advised student media. With a decade of professional journalism experience at outlets like The Wall Street Journal and The Washington Post, she specializes in local news and politics. Education: Ph.D., Mass Communication, University of Florida M.A., Digital Storytelling, Ball State University Honors B.S., Journalism (News/Editorial), Ball State University Her research investigates how transparency practices (e.g., open records) influence media credibility and how readability serves as a heuristic for news judgment. She examines college media independence amid financial/editorial pressures, political journalism dynamics including partisan podcast consumption, and leaked document effects through communication theory integrated with practical journalism challenges. Recent publications (2023-2025) address media credibility heuristics, college journalism sustainability, and political communication. Key studies analyze leaked documents' impact on trust, readability's role in credibility assessment, and legal/financial threats to student media independence using experimental, survey, and content analysis methodologies. Dr. Sparks has advised student media at Savannah State University. While specific grants are not detailed, her active publication record in communication law and media trust indicates ongoing research projects that may involve external funding.

Jerry Alan FailsView profile

Professor

• Human-Computer Interaction (HCI)
• Design for Children
• Participatory Design
• +7 more

Jerry Alan Fails is the Chair and Professor in the Computer Science Department at Boise State University, Idaho. He specializes in Human-Computer Interaction (HCI), focusing on designing technologies with and for children using participatory design methods. His research emphasizes ethical concerns in child-centered design, digital privacy, and inclusive technology development at global scales. He leads the intergenerational Kidsteam design group, which collaborates with children and adults to co-design technologies. Key research areas include children’s online privacy, digital resilience, and innovative design modalities for diverse populations. Fails also serves as International Steering Committee Chair for ACM Interaction Design and Children (IDC), organizing major conferences like the 2019 ACM IDC in Boise. His work integrates participatory design principles with ethical frameworks, addressing challenges in emerging technologies such as extended reality (XR) and wearable devices. He actively contributes to academic committees and editorial roles, including the IJCCI Associate Editorship. Current projects explore children’s online information-seeking behaviors, family digital ecology of fear, and scalable co-design practices. He advocates for democratizing ethical technology development through interdisciplinary collaboration and global engagement.

• Performance Management
• Sustainability Reporting
• Corporate Social Responsibility (CSR)
• +5 more

Dr. Habib Khan is an Associate Professor of Accounting and Director of the Master of Professional Accounting (MPA) Program at the Canberra Business School, University of Canberra. He serves as an Associate Editor for the Accounting Research Journal (Emerald Publishing) and is a Board Member of CPA Australia ACT Divisional Board. His research focuses on performance measurement systems, sustainability reporting, corporate social responsibility (CSR), and institutional influences on accounting practices in developing countries, with a particular emphasis on banking sectors and SDG implementation. He actively supervises PhD students and has published extensively in top-tier journals, contributing to debates on mandatory sustainability disclosures, carbon reporting quality, and corporate governance frameworks. Research Interests: Dr. Khan's work explores multi-dimensional performance measurement, institutional theory applications, and the intersection of accounting practices with environmental and social sustainability goals. He examines how corporate governance structures and regulatory environments shape reporting practices, particularly in developing economies. Recent studies include analysis of modern slavery disclosures, SDG implementation challenges, and the transition from voluntary to mandatory CSR frameworks. Key Contributions: His publications highlight empirical insights into banking sector compliance with sustainability standards, the role of intangible assets in organizational performance, and the impact of readability in modern slavery reports. He has pioneered frameworks for evaluating green banking disclosures and their financial implications, contributing to policy discussions in ASEAN countries and Bangladesh. Awards & Recognition: [No specific awards mentioned in provided text.] Professional Roles: Beyond academia, Dr. Khan advises on higher education reforms, SME empowerment strategies in ASEAN, and institutional challenges in accounting profession development. His editorial work and CPA Australia board membership reflect his influence in shaping professional accounting standards and practices.