Find Academic Supervisors

Daniel AngusView profile

Professor

• Artificial Intelligence
• Social Media Analysis
• Computational Social Science
• +3 more

Professor Daniel Angus is a faculty member at Queensland University of Technology (QUT), holding the position of Professor of Digital Communication in the School of Communication and serving as Director of QUT's Digital Media Research Centre (DMRC). His research focuses on computational methods applied to communication and media studies, with a particular emphasis on AI, automation, misinformation, and digital societal impacts. He holds a PhD in computer science from Swinburne University of Technology and has extensive experience in interdisciplinary research across computer science, design, communication, linguistics, and journalism. Affiliations: ARC Centre of Excellence for Automated Decision Making & Society, ARC Centre of Excellence for the Dynamics of Language. Research Projects: Leads projects like 'Using Machine Vision to Explore Instagram’s Everyday Promotional Cultures' and 'Evaluating the Challenge of ‘Fake News’ and Other Malinformation'. Research Interests: Daniel’s work bridges technology and society, exploring AI ethics, algorithmic transparency, social media governance, and computational methodologies for analyzing communication patterns. He develops tools like Discursis and PauseCode to study discourse and conversational dynamics in healthcare, aged care, and media contexts. Grants & Awards: Principal Investigator on multiple ARC grants and collaborates with industry stakeholders to address challenges like unhealthy food advertising and platform accountability. His research has informed policy submissions to parliamentary committees on social media regulation and AI adoption. Supervision: Current PhD students focus on topics like algorithmic transparency, computational methods for meme analysis, and AI in publishing. Labs/Teams: Directs the Digital Media Research Centre, fostering interdisciplinary projects on digital culture and platform studies.

Hao ChenView profile

Associate Professor

• Anomaly/signal detection for streaming data
• Graph-based methods
• Two-sample test for high-dimensional and non-Euclidean data
• +7 more

Hao Chen, Ph.D. is an Associate Professor in the Department of Statistics at the University of California, Davis. His research focuses on statistical methodology for high-dimensional and non-Euclidean data, including anomaly detection, graph-based methods, and change-point analysis. He also explores AI security, multimodal models, and geospatial applications. His work bridges statistical theory and practical machine learning challenges. Education: Ph.D., Graduate Group in Biostatistics, Stanford University Research Interests: Dr. Chen’s expertise spans statistical methods for streaming data, categorical data analysis, and allele-specific copy number variation. He has pioneered work in detecting signals in complex datasets and developing robust AI systems. His recent focus includes mitigating modality interference in LLMs, enhancing model safety via guardrails, and advancing geospatial AI through projects like GeoLM. Publications: His recent work addresses cutting-edge topics such as multimodal model vulnerabilities, unlearning algorithms, and clinical radiology applications. Key themes include improving model robustness, ethical AI design, and interdisciplinary data integration. Labs/Teams: Engages in collaborative projects at UC Davis, though specific lab names are not listed in the provided information.

Carol FullerView profile

Professor

• Sociology of Education
• Educational Identity
• Gender Studies
• +7 more

Professor Carol Fuller is a Professor of Sociology of Education at the University of Reading's Institute of Education. Her research focuses on educational sociology, gender studies, and socio-economic disparities in education. She leads projects on topics such as 'Left-Behind’ Children in rural China, career decision-making in Gulf nations, and the impact of outdoor learning on educational attainment. Education No explicit educational details provided beyond her PhD in Sociology of Education from the University of Reading (2008). Research Interests Carol’s work explores educational identity formation, gender dynamics in education, widening participation strategies, and the role of social capital in shaping aspirations. She employs both qualitative and quantitative methods, often collaborating with international institutions (e.g., University of West Indies, Ho Chi Minh City University). Grants & Projects Thames Valley Chamber of Commerce LSIPs Employer Engagement Research (2023) Ministry of Justice-funded study on girls and routes into crime (2023) University of Reading grants on outdoor learning impacts (2014-2017) Awards Fellow of the Higher Education Academy Teaching & Supervision Supervises doctoral students globally, with current advisees researching topics like cultural parenting practices in Saudi Arabia and gender representations in STEM. Convenes courses such as ED1BSE and ED3FDD, contributing to MA and PhD programs. Labs/Teams Part of interdisciplinary teams at the Institute of Education, collaborating on projects like the 'Indoor/Outdoors Girlhood' initiative and the Jamaican education leadership study.

Binil StarlyView profile

Adjunct Professor

• Digital Manufacturing
• Additive Manufacturing
• Tissue Biofabrication
• +5 more

Binil Starly is an Adjunct Professor at North Carolina State University's Edward P. Fitts Department of Industrial and Systems Engineering, part of the College of Engineering. He leads the Data Intensive Manufacturing Laboratory (DIME Lab), focusing on digital-physical integration in manufacturing, additive manufacturing, and biofabrication. His work emphasizes democratizing manufacturing access through machine learning and smart systems. Starly holds a B.S. in Mechanical Engineering from the University of Kerala (2001) and a Ph.D. from Drexel University (2006). He previously worked at the University of Oklahoma on tissue engineering platforms. His research spans digital factories, smart manufacturing, and biometrology, with over 45 journal publications. His awards include the NSF CAREER Award (2009), SME Young Manufacturing Engineer Award (2011), and multiple teaching/research recognitions at NC State. He teaches courses on product development, additive manufacturing, and Python for industrial engineers. Starly’s research trends emphasize blockchain in manufacturing ecosystems, cybersecurity for IoT devices, and knowledge graphs for service discovery. He co-leads the Functional Tissue Engineering (FTE) Program, integrating regenerative medicine with scalable manufacturing processes. His grants focus on smart manufacturing innovation, blockchain platforms, and real-time bioprinting monitoring. He advises 7 graduate and 3 undergraduate students, having guided 22 M.S. and 6 Ph.D. students. His outreach includes online courses on smart manufacturing and Python programming through NC State’s Wolfware Outreach. The DIME Lab develops advanced manufacturing technologies, including digital twins for industrial metaverse applications and machine authentication systems. Collaborations span academia, industry, and government to advance personalized manufacturing solutions.

Matthew DuvallView profile

Lecturer

• Technology-Enhanced Learning
• Game-Based Learning
• Computational Thinking
• +4 more

Matthew Duvall is a Lecturer at the University of Pennsylvania’s Graduate School of Education. His career spans roles as a computer programmer, high school teacher, instructional designer, and writer. His research focuses on leveraging technology to create inclusive learning experiences, particularly for underserved populations. He specializes in game-based learning, computational thinking, teacher professional development, and corporate training. Dr. Duvall’s work includes directing the Skyscraper Games project at Drexel University’s ExCITe Center, where middle school students designed video games displayed on Philadelphia’s Cira Centre. His dissertation explored using Goodreads to engage high school students in English language arts. He has also designed corporate training programs informed by learning science frameworks. His research trends emphasize bridging educational technology with practical applications, such as evaluating serious games, refining teacher feedback models, and integrating literacy tools like Goodreads into classrooms. His articles reflect a focus on equity, innovative pedagogy, and technology’s role in fostering authentic learning experiences. While no specific awards are listed, Dr. Duvall’s projects highlight impactful contributions to educational equity and technology integration. He collaborates with teams like the ExCITe Center and organizations serving individuals with autism, emphasizing collaborative approaches to educational innovation.

Nguyen KhanhView profile

Assistant Professor

• Programming Languages
• Compiler & Runtime Support
• Memory Management
• +5 more

Khanh Nguyen is an Assistant Professor in the Department of Computer Science & Engineering at Texas A&M University, part of the College of Engineering. His research focuses on improving scalability and efficiency in Big Data systems through compiler and runtime innovations, particularly in memory management and distributed computing. Education: Ph.D. in Computer Science, University of California, Los Angeles (2019) M.S. in Computer Science, University of California, Irvine (2015) B.S. in Computer Science, University of California, Irvine (2012) His research interests include programming languages, compiler design, memory management, and Big Data systems. He has developed techniques such as Gerenuk for thin computation over big data, Skyway for distributed heap connectivity, and Yak , a high-performance garbage collector. His work emphasizes resource efficiency and workload scalability, particularly for machine learning and data-parallel applications. Recent publications (2021–2024) highlight advancements in adaptive memory management for warehouse-scale computers, semantics-aware swapping in disaggregated systems, and query-driven distributed tracing. Awards: Google Ph.D. Fellowship (2017) Facebook Ph.D. Fellowship Finalist (2017) His research bridges compiler/runtime systems with large-scale data processing, addressing challenges in distributed systems and far-memory utilization. He collaborates with industry and academic partners to advance practical, scalable solutions for modern data-intensive workloads.

Jiří MurycView profile

Researcher

• Slavic Studies
• Bilingualism
• Language Contact
• +4 more

Jiří Muryc is a researcher at the Department of Slavonic Studies, Faculty of Arts, University of Ostrava. He specializes in Polish-Czech language contact, bilingualism, and sociolinguistic dynamics of the Czech-Polish borderlands. His work spans translation studies, orthographic interference, and linguistic landscapes. Position: Head of Department International Affiliation: Collaborated with Vytautas Magnus University, University of Wrocław, and other institutions His research focuses on multilingual environments, Polish language visibility in Czech public spaces, and cross-border language policy. He explores code-switching, hybrid lects, and ethnolinguistic identity in bilingual communities. Muryc's publications analyze Polish-Czech legal terminology, phraseological dictionaries, and translation challenges between typologically close languages. He emphasizes practical applications in interpreter training and digital language platforms like Polski.info . He supervises theses on topics ranging from Polish literature in Czech translations to Czech-Polish business phraseology and UNESCO heritage linguistics. His projects include Erasmus+ initiatives for Polish language e-learning and sociolinguistic studies of Zaolzie.

Ying WangView profile

Associate Professor

• English for academic purposes
• Applied corpus linguistics
• Second language writing
• +4 more

Ying Wang is an Associate Professor in English linguistics at Karlstad University since 2020, specializing in English for academic purposes, applied corpus linguistics, and second language writing. She holds a PhD from Uppsala University (2013) and has taught courses at both undergraduate and graduate levels focusing on academic writing, second language pedagogy, and corpus methodology. Her research explores rhetorical structures in disciplinary genres, evaluative language resources, and the impact of extramural English activities on L2 writing development. Notable projects include the Swedish Learner English Corpus (SLEC) initiative and analyses of predatory publishing practices in political science. She has also examined government communication strategies during the UK's COVID-19 pandemic response through corpus-assisted discourse studies. Key research contributions span formulaic language use in ELF contexts, methodological innovations in corpus linguistics, and linguistic comparisons between well-established and predatory journals. Her work bridges theoretical linguistics with practical applications in education and scholarly publishing ethics. Publications span prestigious journals like English for Specific Purposes , Text & Talk , and Journal of Second Language Writing , reflecting her interdisciplinary approach to language studies. Current projects emphasize corpus-driven research on academic communication practices and their pedagogical implications.

Marco SeeberView profile

Professor

• Public Policy
• Higher Education Governance
• Research Evaluation
• +5 more

Marco Seeber is a Professor at the University of Agder's Department of Political Science and Management. He holds a PhD from the University of Chieti Pescara (Italy) and has previously worked at the University of Lugano (Switzerland) and Ghent University (Belgium). His research focuses on public policy, governance, and management with specialization in higher education systems, research evaluation, and science policy. Professor Seeber's research examines policy implementation, research metrics, peer review systems, academic careers, internationalization, and interdisciplinarity in higher education. He employs comparative and quantitative methodologies to analyze governance structures and policy impacts across different educational systems. He has received significant recognition including the Swiss Prize for Research in Education (2019) and fellowships from IEEE, AIUM, and AIMBE. As Co-Editor-in-Chief of the European Journal of Higher Education, he shapes scholarly discourse in his field. He currently coordinates the Horizon CSA project IANUS (2025-) and leads courses in organizational theory, research methodology, and leadership.

Brigitte GagnonView profile

Adjunct Professor

• Educational Leadership
• Teacher Professional Development
• Well-being in Education
• +2 more

Brigitte Gagnon is an Adjunct Professor at the Faculty of Education, University of Sherbrooke, where she coordinates the Master's in Education Management research-action program. Her academic background includes a Professional Doctorate in Education (2020), a Graduate Diploma in Education Management (2013), a Master's in Preschool and Primary Education (2009), and additional certifications in cooperative learning and French language teaching. Her research examines: Individual/collective support systems for school leaders Well-being strategies for educational staff Pedagogical and organizational development in learning institutions Action research methodologies in education She leads multiple funded projects, including CRSH-supported studies on professional competence modeling and FRQSC collaborations on interprofessional school staffing. Her publications demonstrate strong focus on educational leadership development, well-being frameworks, and action research applications in Quebec's school systems. Recurring themes include mentorship models, organizational change, and professional competence in complex educational environments. She maintains active research partnerships with school service centers (notably Centre de services scolaire des Hautes-Rivières) and coordinates professional learning communities for educational leaders. Current projects involve developing resources for school administrator well-being and novice teacher support systems.

Robert UllmannView profile

Professor

• International Corporate Taxation
• Tax Planning
• Transfer Pricing
• +5 more

Prof. Dr. Robert Ullmann serves as Full Professor and Chair of Business Taxation at the University of Augsburg's Faculty of Business Administration and Economics. His position places him at the forefront of tax research and education within the Institute of Business Administration, where he leads a substantial research team including numerous research assistants and doctoral candidates. Professor Ullmann's research spans several critical areas in contemporary taxation: international corporate taxation, tax planning strategies, transfer pricing mechanisms, accounting quality and policy frameworks, tax evasion detection methods, and advanced audit technologies. His methodological approach combines empirical analysis using Tax Data Analytics with normative-analytical examination of tax law norms, current legislation, and case law. This dual approach allows his research to bridge theoretical frameworks with practical applications in the taxation field. His recent scholarly output demonstrates a strong focus on timely topics including corporate tax disclosure practices, nuclear fuel taxation impacts on capital markets, renewable energy tax policy, and the relationship between tax complexity and venture capital investment. These publications reflect his engagement with both traditional tax research areas and emerging intersections with technology and sustainability. Professor Ullmann actively mentors doctoral candidates, with numerous completed doctorates including Dominik Greif (2024/2025), Simone Mögele (2024), Christine Schuster (2023), and others dating back to 2020. His supervisory role extends beyond dissertation guidance, as his team members regularly present research at international conferences and collaborate on publications. The Chair of Business Taxation under his leadership maintains strong connections with industry partners including DATEV, Sonntag & Partner, FGS Munich, and SWMP, facilitating knowledge transfer between academic research and professional practice. These partnerships support student benefits programs, specialized seminars, and practical learning opportunities that enhance the educational experience for business administration students at the University of Augsburg.

• Business Informatics
• Artificial Intelligence
• Business Intelligence
• +10 more

Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.

Md. Zoheb HassanView profile

Assistant Professor

• Spectrum sharing and management
• Wireless communication systems
• Communications and network control and regulation systems
• +1 more

Md. Zoheb Hassan serves as an Assistant Professor in the Department of Electrical Engineering and Computer Engineering at Laval University, where he leads cutting-edge research in wireless communications and spectrum management. His academic role includes graduate recruitment and active participation in the university's research ecosystem, particularly through the Establishment of the Next Generation of Professors program funded by FRQNT. Dr. Hassan's research centers on spectrum sharing and management, wireless communication systems, and communications network control systems. He pioneers the integration of digital twin technology and machine learning to solve critical challenges in next-generation networks, including interference management in 5G/6G aerial corridors, Internet of Vehicles, and satellite-terrestrial integration. His work emphasizes practical implementations such as proof-of-concept demonstrations for tactical networks and proactive resource allocation in dynamic environments. Analysis of his 2024-2025 publications reveals a dominant trend toward AI-driven wireless resource optimization, with 12 of 15 recent papers featuring digital twins for interference management, spectrum sharing, and energy efficiency. Key thematic clusters include vehicular communications (4 papers), underwater IoT networks (2 papers), and hardware-impairment resilient designs (3 papers), demonstrating his focus on bridging theoretical advances with real-world deployment challenges across diverse network topologies. Dr. Hassan has secured significant competitive funding for his research initiatives: Digital Twin-Enhanced Interference Management for Next-Generation Radio Access Networks in the FR3 Band (FRQNT, 2025-2027) Center for Radio Frequency and Communications Systems, Technologies and Applications (FRQNT, 2024-2030) Context-Aware Spectrum Sharing and Management for Next Generation Wireless Networks (NSERC, 2024-2029) Development of innovative technologies for modeling predictive systems in urban mobility (MITACS, 2022-2026) Springboard to Discovery supplement for Context-Aware Spectrum Sharing (NSERC, 2024-2025) He actively mentors doctoral candidates, currently supervising Mahima Karim (PhD in Electrical Engineering, expected 2025) and Mohammadamin Parhizgar (PhD in Electrical Engineering, expected 2024). His supervisory approach combines theoretical rigor with practical problem-solving, focusing on spectrum management algorithms and digital twin implementations for next-generation networks. While specific laboratory affiliations aren't detailed in the source material, his projects indicate strong alignment with Laval University's wireless research infrastructure and the Center for Radio Frequency and Communications Systems.

Arnab NandiView profile

Professor

• Database Systems
• Human-Computer Interaction
• Human-in-the-Loop Data Analytics
• +5 more

Arnab Nandi is a Professor of Computer Science and Engineering at The Ohio State University, with a courtesy appointment in Biomedical Informatics. He holds leadership roles including Steering Committee Member for the Human-in-the-Loop Data Analytics (HILDA) Workshop and has served as Workshops co-chair for SIGMOD 2025-26 and Demonstrations co-chair for SIGMOD 2024. His research focuses on bridging human interaction and data infrastructure, spanning database systems, human-in-the-loop data analytics, and next-generation query interfaces. Nandi's work emphasizes interactive data exploration through projects like DICE (Distributed Interactive Cube Exploration), GestureDB (Querying Beyond Keyboards), and Omni (Multimodal Data Exploration). His recent research explores integrating LLMs into database education, augmented reality interfaces for data analytics, and multimodal approaches to video querying. Nandi has received numerous honors including the NSF CAREER Award, Google Faculty Research Award, IEEE TCDE Early Career Award, and the University's Alumni Award for Distinguished Teaching. He was also named to Columbus Business First's '40 under 40' and became an ACM Distinguished Member in 2024. As an educator, he teaches courses including CSE 3241 (Introduction to Database Systems), CSE 5242 (Advanced Database Systems), and CSE 5251 (Introduction to Software Startups). His educational innovations include DBTutor, which integrates LLMs into database systems education. At Ohio State, Nandi co-founded the OHI/O Program, which fosters tech culture through hackathons, and The STEAM Factory, an interdisciplinary research collaboration network. Prior to academia, he was founder and CEO of Mobikit, a connected vehicles data analytics startup acquired by Azuga Inc. (a Bridgestone company). His research has been supported by the NSF and industry partnerships, with applications spanning precision agriculture (CropFusion), clinical data pipelines (ICARUS), and interactive visualization systems (Perceptvis).

Christian UnkelbachView profile

Professor

• Social Cognition
• Evaluative Judgments
• Information Ecologies
• +6 more

Christian Unkelbach is Professor of Social Psychology at the Department of Psychology, Faculty of Humanities, University of Cologne, where he leads the Unkelbach Group. His research spans multiple domains of social and cognitive psychology with significant contributions to understanding evaluative processes. His primary research interests include Social Cognition, Evaluative Judgments, Information Ecologies, Stereotypes and Prejudice, Evaluative Learning, Fluency Effects, and Sport Psychology. Unkelbach's work examines how humans process evaluative information in social contexts, with particular focus on the truth-by-repetition effect , evaluative conditioning , and cognitive ecological frameworks that explain why certain information patterns dominate social cognition. His research demonstrates how repetition increases belief in information , how attributes become associated through mere pairings , and why positive information is processed more efficiently than negative information. Analysis of his recent publications reveals a consistent trajectory examining the relativity of social cognition , truth effects across contexts , and metacognitive awareness of cognitive biases . His work increasingly integrates cross-linguistic perspectives and examines real-world applications in media consumption and social judgment. Honorary Doctorate from UCLouvain (2025) ISCON Best Paper Award 2020 Speaker of DFG Research Unit FOR2150 'Relativity in Social Cognition' (2017-2021) Emmy Noether Research Grant (DFG, 2009-2013) Feodor Lynen Research Scholarship (Alexander von Humboldt Foundation) Fulbright Scholarship Unkelbach has advised numerous doctoral researchers including Andreas Miculka, Anne Irena Weitzel, Felix Speckmann, Lea Sperlich, and Tabea Zorn. His research group has secured multiple C-SEB grants for projects examining social cognition phenomena. The Unkelbach Group maintains active collaborations with international researchers across Europe and North America, with recent work funded through the DFG Research Unit on Relativity in Social Cognition. The Unkelbach Group laboratory at Richard-Strauss-Str. 2 in Cologne comprises postdoctoral researchers, doctoral candidates, and student assistants working on experimental paradigms examining evaluative learning, truth effects, and social judgment processes. Current projects investigate cross-linguistic truth effects, metacognitive monitoring of repetition effects, and ecological validity in social cognition frameworks.