جست‌وجوی استاد و پژوهشگر

Alexandra Birchمشاهده پروفایل

استاد

• Multilingual Natural Language Processing
• Multimodal Natural Language Processing
• Machine Translation
• +۵ مورد دیگر

Professor Alexandra Birch serves as Chair of Multilingual Natural Language Processing at the Institute for Language, Cognition and Computation (ILCC) within the School of Informatics at the University of Edinburgh. She is a leading member of the StatMT group and Edinburgh Natural Language Processing group, while also co-founding and serving as Chief Scientist of Aveni.ai, a fintech company delivering GenAI solutions to the UK finance sector. Her research centers on advancing multilingual natural language processing with applications that improve people's lives. Professor Birch has made significant contributions to the paradigm shift toward neural networks and large language models in NLP, with expertise spanning multilingual and multimodal processing, ethical considerations, model explainability, and computational efficiency. Her work addresses critical challenges in making language technologies accessible across diverse linguistic contexts. Professor Birch's publication record includes over 100 peer-reviewed papers that demonstrate strong trends in multilingual machine translation, low-resource language processing, and ethical AI frameworks. Her research bridges theoretical advances with practical implementations, particularly evident in her current leadership of the FinLLM project for the financial sector. As a research leader, she has secured and directed major EU-funded projects including EuroLLM (developing a large language model for European languages), UTTER (creating a multilingual meeting assistant), and GoURMET (focusing on low-resource machine translation for media content). Her industry collaboration through Aveni.ai demonstrates successful translation of academic research into commercial applications, particularly in the financial services domain. Professor Birch maintains active leadership in both academic and industry communities, with her current work on domain-specific language models representing an important direction in adapting general-purpose LLMs to specialized professional contexts while addressing multilingual challenges.

William Yang Wangمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۹ مورد دیگر

William Yang Wang serves as the Mellichamp Professor of Artificial Intelligence at the University of California, Santa Barbara (2019-present). He directs the UCSB Center for Responsible Machine Learning, the Mind and Machine Intelligence Initiative, and the UCSB NLP Group. His research focuses on theoretical foundations and practical algorithms for AI, particularly in NLP, LLMs, and neuro-symbolic reasoning. PhD in Computer Science from Carnegie Mellon University Active in AI theory and applications (2016-present) Research interests span multiple AI domains, with special emphasis on NLP and responsible machine learning. He has pioneered datasets like HybridQA, TabFact, and VaTeX, enabling advancements in multi-hop QA, fact verification, and video-language tasks. His work combines statistical relational learning with modern deep learning paradigms. Recent publications center around multimodal reasoning, knowledge graph integration, and responsible AI development. He has received numerous accolades including the IEEE SPS Pierre-Simon Laplace Award (2024) and NSF CAREER Award (2021). Karen Sparck Jones Award (2022) DARPA Young Faculty Award (2018) IBM Faculty Award Mentoring 15+ PhD and postdoc researchers who now hold positions at Microsoft Research, Amazon, Meta GenAI, and academic institutions like Arizona and Rutgers. His lab maintains active collaborations with industry partners through initiatives like ChipAgents.ai, which he founded as CEO.

Wenhu Chenمشاهده پروفایل

استادیار

• Natural Language Processing
• Deep Learning
• Multimodal Learning
• +۵ مورد دیگر

Wenhu Chen is an Assistant Professor at the University of Waterloo's Computer Science Department and a CIFAR AI Chair at the Vector Institute. He also holds a part-time role as a Senior Research Scientist at Google DeepMind (20% allocation). His research focuses on natural language processing, deep learning, and multimodal reasoning, with contributions to models like MAmmoTH, OpenCoderInterpreter, and VISTA. He received awards including the Canada CIFAR AI Chair (2022) and the UCSB CS Outstanding Dissertation Award (2021). Education: PhD in Computer Science from the University of California, Santa Barbara (under William Wang and Xifeng Yan). Research interests include complex reasoning, controllable GenAI, and multimodal benchmarks like MEGABench and MMMU. Grants include CIFAR AI Chair Funding (2022-2027), NSERC Discovery Fund (2023-2028), and multiple NRC Canada grants. He directs the TIGER Lab, advancing generative models in text, images, videos, and music. Recent talks include presentations on multimodal reasoning at Apple and NeurIPS workshops.

Michael Pyrczمشاهده پروفایل

استاد

• Subsurface Data Analytics
• Geostatistics
• Machine Learning
• +۳ مورد دیگر

Michael Pyrcz is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and holds the rank of Associate Professor in the Jackson School of Geosciences at the University of Texas at Austin. He is the recipient of the B. J. Lancaster Professorship in Petroleum Engineering and the George H. Fancher Centennial Teaching Fellowship in Petroleum Engineering. His research focuses on subsurface data analytics, geostatistics, and machine learning applications in energy systems and CO2 sequestration. Pyrcz teaches widely, including through online lectures and GitHub workflows, and has authored over 50 peer-reviewed publications and a textbook on spatial data analytics. His work integrates machine learning with geoscience challenges, such as uncertainty quantification in reservoir modeling and CO2 storage site evaluation. He leads initiatives in energy data analytics through the Freshman Research Initiative and collaborates with industry on workflow development. Key research areas include generative AI for subsurface models, stochastic methods for fracture networks, and anomaly detection in geologic monitoring. Education: Background in petroleum engineering and geosciences (details not explicitly provided). Grants/Advising: Extensive industry collaboration and mentorship roles at Chevron prior to UT Austin. Labs/Teams: Maintains active GitHub repositories (GeostatsGuy), YouTube lecture series (GeostatsGuyLectures), and social media outreach (X/GeostatsGuy).

Thomas Mayerمشاهده پروفایل

پژوهشگر

• Digital Transformations
• Scaled Agile Transformations
• Enterprise Architecture Management
• +۱ مورد دیگر

Thomas Mayer is a Doctoral Researcher affiliated with the Professorship for Information Systems and Digital Innovation at the University of Hamburg Business School. His research focuses on Digital Transformations in industrial organizations, Scaled Agile Transformations, Enterprise Architecture Management, and Generative Artificial Intelligence (GenAI) Development. He holds an office at Von-Melle-Park 5, Room 3091, and can be contacted via thomas.mayer@uni-hamburg.de. His recent publications explore financial management challenges in agile transformations within automotive manufacturing and the application of GenAI in industrial contexts. Mayer collaborates with Prof. Dr. Recker and other researchers on case studies involving German automotive firms. His work bridges theoretical frameworks with practical implementation challenges in digital innovation and organizational change.

• Computer Science Education
• AI in Education
• AI Literacy
• +۵ مورد دیگر

Michael O'Dea is a Senior Lecturer in the Department of Computer Science at the University of York, United Kingdom. He has held previous academic positions at York St John University, Beijing University of Technology, University of Hull, and Waikato Institute of Technology, bringing extensive international experience in computer science education. He is actively engaged in pedagogical scholarship and leadership in higher education innovation. Senior Lecturer, Department of Computer Science, University of York Senior Lecturer in Computer Science, York St John University Lecturer in Software Engineering, Beijing University of Technology, China Lecturer in Computer Science, University of Hull Lecturer in Information Technology, Waikato Institute of Technology, NZ Dr. O'Dea earned his Ed.D. in Computer Based Learning from the University of Leeds. His research centers on the integration of artificial intelligence into educational practices, with a strong emphasis on AI literacy, the effectiveness of generative AI in teaching and learning, and the evolving landscape of technology acceptance in higher education. He investigates how AI tools can enhance student learning, faculty development, and institutional policy. His recent publications span topics such as AI literacy assessment, the future of online and blended learning, the application of machine learning in earthquake prediction, and international study abroad effectiveness. These works reflect a broad interdisciplinary approach, combining computer science, educational theory, and policy analysis. His scholarship is increasingly focused on the transformative potential of generative AI in academic settings, as evidenced by his leadership in special journal issues and funded research projects. Dr. O'Dea holds significant editorial responsibilities as Associate Editor and Lead Guest Editor for the Journal of University Teaching and Learning Practice and as Guest Editor for a special issue in Education Sciences on generative-AI-enhanced learning. He is also an Invited External Academic Affiliate at the King's Institute for Artificial Intelligence, King's College London. Associate Editor - Special Issues, Journal of University Teaching and Learning Practice Lead Guest Editor, Special Issue on Technology Acceptance Models, JUTLP (2024) Guest Editor, Special Issue on Generative-AI-Enhanced Learning, Education Sciences Principal Investigator, QAA Collaborative Enhancement Project on Graduate Attributes in the Era of GenAI (2025) He has delivered numerous invited talks and workshops at institutions such as the University of York, Queen Mary University of London, and international conferences including the Academy of Management and the International Conference on Artificial Intelligence in Education. His work bridges research, practice, and policy in higher education, with a strong commitment to inclusive and innovative teaching methodologies.

Besiki Stviliaمشاهده پروفایل

استاد

• Data Quality
• Data Curation
• Research Information Management
• +۶ مورد دیگر

Besiki Stvilia is a Professor in the School of Information at Florida State University's College of Communication and Information. He holds a Ph.D. and M.S. in Library and Information Science from the University of Illinois at Urbana-Champaign, along with an M.S. in Applied Mathematics from Tbilisi State University. His research focuses on data quality assurance, digital curation, social informatics, and knowledge organization. He has led projects on research data management, metadata frameworks, and collaborative data practices in scientific communities. Stvilia has taught courses including LIS 6205 (Information Behavior), LIS 5263 (Information Retrieval Theory), and LIS 5787 (Metadata Practices). His funded research includes grants on data quality infrastructure for repositories, researcher identity curation, and mobile wellness application behavior studies. His work emphasizes bridging theoretical models with practical applications in digital libraries and academic systems. His research spans topics like GenAI credibility assessment, ontology development for data repositories, and user engagement with social Q&A platforms. He has advised multiple collaborative projects involving interdisciplinary teams and has published extensively in journals like Journal of Documentation and Information Processing & Management .

• Generative AI in education
• AI ethics
• Performance management
• +۲ مورد دیگر

Mike Perkins is an Associate Professor and Head of the Centre for Research & Innovation at the British University Vietnam (BUV). He holds a PhD in Management from the University of York, UK, with research on performance management in local police service delivery. His current research focuses on generative AI (GenAI) in education, academic integrity, and performance management. Education: PhD in Management (University of York, UK, 2013), Senior Fellow of Higher Education Academy (2019) Research Interests: GenAI in education, AI ethics, academic integrity, and public sector management. His work bridges technology, education, and academic ethics, with a focus on AI assessment tools and synthetic media challenges. Scientific Awards: St Andrew’s Global Research Fellow (2025–2026) Visiting Scholar at Werklund School of Education, University of Calgary (2026) 2024 Paper of the Year – Journal of University Teaching and Learning Practice Prof. Tracey Bretag Academic Integrity Award (2024 Honored, 2025 Shortlisted) BUV President's Research Award (2023) BUV President's Teaching Award (2019) Grants: Led the International Science Partnership Fund (£80,000, 2024–2026) for GenAI integration in Vietnamese higher education. Co-led Going Global Partnerships (£80,000, 2023–2025) for digital transformation in Vietnamese universities.

Sudi Bhattacharyaمشاهده پروفایل

استاد مدعو

• Generative AI
• Machine Learning
• Cloud Computing
• +۵ مورد دیگر

Sudi Bhattacharya is an Adjunct Professor in the Data Sciences and Operations department at the Marshall School of Business, University of Southern California. Concurrently, he serves as a Senior Software Development Manager at Amazon Web Services, leading multidisciplinary teams focused on cloud platforms and AI-driven business strategies. Education: MBA from University of Chicago Booth School of Business Dr. Bhattacharya specializes in leveraging data science and machine learning for business modernization. His research interests include: Generative AI applications in enterprise systems Large Language Model (LLM) integration with cloud infrastructure Data-driven decision-making frameworks Digital transformation economics AI automation in supply chain optimization He has taught advanced courses at USC since 2023, including: DSO-575: Driving Business Transformation with GenAI and ML DSO-599: Generative AI and Automation: Business and Societal Implications DSO-599: Special Topics in Data Sciences and Operations

Justin Harveyمشاهده پروفایل

مدرس

• Generative Artificial Intelligence
• Experimental Media Arts
• Creative Practice Research
• +۷ مورد دیگر

Justin Harvey is a Lecturer at the University of Technology Sydney (UTS) within the Faculty of Design, Architecture and Building, specializing in Media Arts and Production. He is an active member of the Creative Practice Research Group and serves on the Faculty Board and Faculty Research Committee. Harvey holds a PhD in Media Art & Design from the University of New South Wales and a Bachelor of Arts in Communication (Media Arts & Production) with First Class Honors from UTS. Harvey's research interests focus on creative uses of generative Artificial Intelligence, experimental approaches to media art making, and creative practice led research. His artistic practice spans moving image, installation, and virtual reality experiences, with a particular fascination for human-machine interaction and the creative potentials of digital technologies. He explores glitch aesthetics, digital video feedback, and imagery generated using diffusion models, often collaborating with AI systems in unexpected ways. Harvey has exhibited his work internationally at venues including VIVID Sydney, ISEA (International Symposium on Electronic Art) in Vancouver, Hong Kong, and South Korea. His 2023 collaboration with generative AI, Unprompted Studies 1-3 , was a finalist in the Fisher's Ghost Art Award. In 2024, he was selected as a Scholar in the Sydney Powerhouse Museum's Research Scholars Program for the "Knit Forward" project, which reimagines historical garments using generative AI and seamless knitwear technology. His research on creative applications of GenAI directly informs his teaching in Experimental Media and Creative Project Development. Harvey has extensive studio-based teaching experience since 2010, covering subjects such as Situated Media Installation Studio, Drama Production, and Experimental Media. Fisher's Ghost Art Award (2023 finalist) Powerhouse Museum Scholars Program funding (2024) UTS ECR Capability Development Initiative funding (2024) FASS ECR Funding (2024) Harvey supervises PhD and Masters of Research students in creative practice research and has mentored hundreds of students through capstone projects in drama, documentary, animation, and media arts installation. His current research projects include collaborations with Dr. Doris Li on reimagining historical garments using AI, and exploring the intersection of Surrealist techniques with generative AI in works like Oneironaut , exhibited at VIVID Sydney 2025.

Kaiju Kangasمشاهده پروفایل

مدرس ارشد

• Educational Sciences
• Technology Education
• Craft Science
• +۳ مورد دیگر

Kaiju Kangas is a Senior Lecturer at the Department of Education, University of Helsinki, specializing in Technology Education and Maker Culture . He coordinates the CreaTE (Creative Technology Education) initiative and supervises doctoral studies under the Doctoral Programme in School, Education, Society, and Culture . His work focuses on integrating Design Learning into educational frameworks, emphasizing creativity and critical thinking. Research Trends : Recent publications highlight intersections between Artificial Intelligence , Maker Education , and Epistemic Competence . He explores pedagogical infrastructures for Multidisciplinary Technology Education , materiality in maker practices, and teacher perceptions of maker mindsets. Scientific Awards : Behavioral Sciences Dissertation Prize (2014) Projects : Leading initiatives like GenAI: Generation AI (2022–2025) and Maker-Centered Learning (2021–2025), funded by the Strategic Research Council and Academy of Finland. His work bridges formal education with maker culture.

Samantha Curleمشاهده پروفایل

استاد

• English Medium Instruction (EMI)
• Integrating Content and Language in Higher Education (ICLHE)
• Advanced Quantitative Research Methods (AQM)
• +۴ مورد دیگر

Samantha Curle is a Reader in the Department of Education at the University of Bath, serving as Director of all MRes Programmes in the Humanities and Social Sciences Faculty. She also holds roles as Institutional Academic Lead for the South West Doctoral Training Partnership and Director of Studies for the MRes in Advanced Quantitative Methods. Her research focuses on English Medium Instruction (EMI) in global higher education, particularly its academic and linguistic outcomes, technology integration, and psychological dimensions. Career highlights include a PhD from the University of Oxford (2018) on stakeholders’ attitudes toward EMI in Japanese higher education. She has extensive editorial roles, including guest editorships at Frontiers in Educational Psychology and Data in Brief . Her expertise spans quantitative methods, applied linguistics, and bilingual education, contributing to UN Sustainable Development Goal 4 (Quality Education). Education: PhD (University of Oxford, 2018) MSc Research Methods (University of Oxford, 2014) Bachelor of Education (Open University of Hong Kong, 2010) Grants and Projects: Leading projects on EMI in Saudi Arabia, Brazil, and Hong Kong-UK collaboration Focus on educational inequalities in Spain using CART models Awards: Adjunct Professor (2024) Her research has yielded 88+ publications, emphasizing EMI’s role in STEM, teacher professional development, and sustainable education. She advises doctoral students on quantitative EMI studies and advocates for evidence-based policy in multilingual education.

Oana Birceanuمشاهده پروفایل

استادیار

• Toxicology
• Aquatic Biology
• Molecular Biology
• +۳ مورد دیگر

Oana Birceanu is an Assistant Professor at Western University, specializing in environmental toxicology and science education. She holds a BSc and MSc from Wilfrid Laurier University and a PhD in Animal Biology from the University of Waterloo, followed by postdoctoral training at McMaster University focusing on metformin’s mode of action and teaching leadership. Her research explores the effects of pesticides, pharmaceuticals, and environmental contaminants on aquatic organisms, emphasizing generational impacts and stress physiology in fish like rainbow trout and sea lamprey. She integrates teaching innovations, such as GenAI applications in lab courses, to enhance student engagement. Education: BSc, Wilfrid Laurier University MSc in Integrative Biology, Wilfrid Laurier University PhD in Animal Biology, University of Waterloo Research Interests: Pesticide toxicity in non-target species Metformin’s environmental impact Maternal transfer of contaminants Stress physiology in fish Invasive species control Dr. Birceanu has received prestigious awards, including the NSERC Postdoctoral Fellowship and McCall MacBain Teaching Fellowship, supporting her work on lampricide efficacy and curriculum integration. She emphasizes mentorship and fostering a collaborative research environment, aiming to inspire students to pursue science with confidence. Awards: NSERC Postdoctoral Fellowship McCall MacBain Postdoctoral Fellow in Teaching NSERC CGS-D Scholarship Teaching Contributions: Physiology 1021, PhysPharm 3000E, Physiology 3120 GenAI integration in undergraduate labs

Tegwen Malikمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Biomimicry
• Water Management
• +۵ مورد دیگر

Dr. Tegwen Malik, a Senior Lecturer at Swansea University's School of Management and Senior Fellow of the Higher Education Academy (SFHEA), bridges artificial intelligence research with biomimetic innovations. Her multifaceted roles include Deputy Programme Director for MSc Management, Director of Education and Content at the i-Lab Research Centre, and leadership in the "Global and Social Challenges" theme. Senior Lecturer, School of Management (since 2022) Deputy Director, MSc Management Programme Director of Education, i-Lab Research Centre UKAT Recognised Practitioner in Advising Her research explores Artificial Intelligence applications across sectors, particularly in higher education, and biomimicry innovations for water management in arid regions. Collaborative work spans engineering (Welsh Centre for Printing and Coating), medicine, and management, with external partnerships at Lifescaped, MIT, and ESPCI. Recent publications analyze agentic AI systems , generative AI impacts , and bioinspired water collection mechanisms. The 2023 I3E Conference awarded her for transformative AI research in education. Best Research Paper Award, I3E 2023 Brazil Co-PI on international projects (Lifescaped, MIT, ESPCI) Supervisor for 4 active PhD students Editorial reviewer for Government Information Quarterly and Information & Organisation Dr. Malik also investigates digital marketing adoption , operations management , and international standards , with practical experience in product commercialization and transnational projects. Her teaching focuses on mathematics and analytics for business , reaching over 600 MSc Management students annually.

Zheng Zhangمشاهده پروفایل

پژوهشگر

• Human-AI Interaction
• Human-Computer Interaction
• Machine Learning
• +۳ مورد دیگر

Zheng Zhang is a Ph.D. candidate in the Department of Computer Science and Engineering at the University of Notre Dame, where he focuses on human-AI interaction. He also works as an Applied Scientist in Adobe's GenAI team, developing interactive AI systems for user experience enhancement. He has held internships at Apple, AWS AI, and Meta Reality Labs. Education: Ph.D. (in progress) at University of Notre Dame M.S. in Computer Science from University of Rochester and University of Minnesota B.Eng. in Software Engineering from Shaanxi Normal University His research explores the intersection of human-computer interaction (HCI) and machine learning (ML), emphasizing systems that provide adaptive, context-sensitive support for complex cognitive tasks. Key areas include collaborative tools for team ideation, incremental learning from user demonstrations, and multimodal context-aware interfaces. Recent publications demonstrate a focus on AI-augmented collaboration through large shared displays (LADICA), audio-visual annotation (PEANUT), and interactive qualitative coding (PaTAT). His work increasingly integrates generative AI with real-time human input, particularly for co-located teams and educational applications. He serves as a Program Committee member and reviewer for top HCI/ML conferences including CHI, UIST, IUI, and ACL. Teaching experience spans courses in human-AI systems, algorithms, and data structures.