جست‌وجوی استاد و پژوهشگر

Anna Traianouمشاهده پروفایل

استاد

• Education Policy
• Teacher Expertise
• Research Ethics
• +۶ مورد دیگر

Professor Anna Traianou is a distinguished academic at Goldsmiths, University of London, where she serves as Professor of Education and Director of the Centre for Identities and Social Justice. Her work spans multiple dimensions of educational research with a particular focus on the intersection of policy, practice, and ethics in contemporary educational contexts. Her research interests center on culture, learning and teacher 'expertise' in contemporary policy and politics; the contestation of education policy in contemporary Europe, austerity and the changing form of the education state; and philosophical perspectives on ethics and their implications for researcher autonomy. She has published extensively on these topics, with notable works including 'Understanding Teacher Expertise in Primary Science: a sociocultural approach' (2006) and 'Ethics in Qualitative Research: Controversies and Contexts' (2012) co-written with Martyn Hammersley. More recently, she co-edited 'Austerity and the Remaking of European Education' (2019) with Ken Jones. Her recent publications reveal a strong focus on education policy under austerity conditions, particularly in Greece, where she has examined the role of trade unions in education reform and the intricacies of conditionality in policy implementation. She has also made significant contributions to research ethics, particularly regarding the concept of vulnerability in social research and its application to studies involving political elites. Professor Traianou teaches on the BA (Honours) Education Culture and Society, MA Education: Culture Language and Identity, and MPhil/PhD Education programmes. Her doctoral supervision focuses on education policy, particularly the interplay between supranational policy influence and national traditions; learning and teacher 'expertise' in contemporary policy and politics; and research ethics as situated practice. She has secured significant research funding, including from the British Academy (2019-2022) for research on structural adjustment in Greece (2010-2018) and from the National Education Union (NEU) for her current project on teachers' curriculum autonomy. Her recent report 'Are you on slide 8 yet?' examines the impact of standardized curricula on teacher professionalism.

Vivek Srikumarمشاهده پروفایل

دانشیار

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• +۵ مورد دیگر

Vivek Srikumar is an Associate Professor in the Kahlert School of Computing at the University of Utah, co-leading the Utah NLP group and affiliated with the Utah Center for Data Science. His research focuses on Machine Learning and Natural Language Processing, particularly in structured prediction, bias mitigation, and healthcare NLP applications. He teaches Machine Learning (CS 6350/DS 4350) and has been supported by NSF, NIH, and corporate grants from Intel, Google, and others. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2013) Postdoctoral Researcher at Stanford University's NLP Group (2013-2014) Visiting Researcher at Allen Institute for Artificial Intelligence (2022 sabbatical) Research Interests: Srikumar explores text understanding, structured learning, and robust AI systems. His work addresses challenges in table-based reasoning, adversarial robustness, and ethical AI. He develops methods to ensure models use appropriate evidence and mitigate biases in representations. Grants & Collaborations: Supported by NSF, NIH, BSF, and industry partnerships with Intel, Google, Verisk, Bloomberg, and Nvidia. Notable projects include table QA systems (TempTabQA), bias mitigation (OSCaR/VERB), and crisis counseling NLP tools (ClientBot). Advising: Supervised over 30 students, including 15+ Ph.D./M.S. alumni now in academia and industry (e.g., Google, Amazon, Microsoft). Current advisees focus on multimodal reasoning, healthcare NLP, and AI ethics. Labs/Teams: Utah NLP Group and Utah Center for Data Science. Active in reproducibility efforts (LogFlux) and open-source tools (CogCompNLP/Pylon frameworks).

Anshumali Shrivastavaمشاهده پروفایل

دانشیار

• Large Scale Machine Learning
• Randomized Algorithms for Big Data
• Graph Mining
• +۳ مورد دیگر

Anshumali Shrivastava is an Associate Professor of Computer Science, Electrical and Computer Engineering, and Statistics at Rice University, affiliated with the George R. Brown School of Engineering. His research focuses on large-scale machine learning, randomized algorithms for big data, and graph mining. He holds a PhD from Cornell University (2015) and an MSc from the Indian Institute of Technology Kharagpur (2008). His research interests span scalable deep learning, efficient neural network inference, and probabilistic algorithms. He has pioneered techniques in compressed learning, hashing-based search, and distributed optimization for handling massive datasets. Notable contributions include methods for accelerating LLM inference, memory-efficient quantization, and graph processing algorithms. Teaching: Probabilistic Algorithms, Large-Scale ML, and Machine Learning Seminars Awards: Charles W. Duncan Jr. Achievement Award (2023), Young Faculty Research Award (2021), NSF CAREER Award (2017), and multiple best paper awards His work bridges algorithm design with practical applications in recommendation systems, genomics, and edge computing. Current efforts focus on sustainable AI, hardware-aware compression, and efficient training/inference pipelines for large models.

Delphine Allèsمشاهده پروفایل

استاد

• Southeast Asia and International Relations
• Global International Relations and Area Studies
• Religion and International Relations
• +۵ مورد دیگر

Delphine Allès is a University Professor at the National Institute of Oriental Languages and Civilizations (INALCO) in Paris, France, where she serves as Vice-President responsible for board of directors, organization and resources. She is a leading scholar in International Relations with a focus on Southeast Asia, particularly Indonesia, and specializes in non-Western approaches to international relations, religion in global politics, and Indo-Pacific security dynamics. Her research interests span multiple interconnected domains: Religion and International Relations Non-Western Approaches to International Relations Diplomacy, Security and Multilateral Cooperation in Southeast Asia (Indonesia / Indo-Pacific) Civilizational Narratives Global International Relations and Area Studies Allès's scholarly work demonstrates a consistent focus on decentralizing International Relations theory through empirical studies of Southeast Asian practices. Her recent publications examine the Indo-Pacific concept, religious diplomacy between Russia and Indonesia, and critiques of Western-centric security frameworks. She has pioneered research on how non-Western civilizations conceptualize international order, particularly through religious frameworks. Professor Allès serves on the editorial boards of multiple prestigious journals including European Journal of East Asian Affairs, Global: Jurnal politik internasional, and Archipel. She is also Scientific manager of the AMI-SHS DECRIPT program focused on crises and civilizational narratives. Her administrative leadership includes membership on the Scientific and Strategic Council of Pôle Asie (MEAE) and the board of the French Political Science Association. Previously, she directed the International Relations department at INALCO (2018-2023) and co-edited the journal Etudes internationales (2021-2024).

• Algorithmic Fairness
• Responsible AI
• Deep Learning
• +۷ مورد دیگر

Golnoosh Farnadi is an Associate Professor at the Department of Computer Science and Operational Research at the University of Montreal and an Assistant Professor at the School of Computer Science at McGill University. She holds a Canada-CIFAR Chair in Artificial Intelligence and serves as a Senior Academic Member at Mila - Quebec Institute for Artificial Intelligence. Her interdisciplinary work bridges computer science, operations research, and ethical AI considerations. Her educational background includes a Ph.D. in Computer Science from KU Leuven and Ghent University (2017), followed by postdoctoral positions at the University of Montreal/MILA (2018-2020) and the University of California, Santa Cruz (2017-2018). Her research focuses on algorithmic fairness, responsible AI, deep learning, and probabilistic models, with applications spanning healthcare, recommender systems, and public policy. Farnadi's recent publications demonstrate a strong emphasis on addressing fairness in machine learning systems, with particular attention to cultural diversity in recommender systems, fairness in healthcare optimization (particularly kidney exchange programs), and mitigating hallucinations in large language models. Her work consistently combines theoretical rigor with practical applications, often employing novel mathematical frameworks to tackle complex ethical challenges in AI. Among her notable recognitions are the Google Scholar Award (2021), Facebook Research Award (2021), Google Award for Inclusion Research (2023), and being named one of the 100 Brilliant Women in AI Ethics (2023). She was also recognized as a Rising Star in AI Ethics in 2021. Farnadi supervises numerous graduate students through her EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms), which focuses on developing AI systems that promote fairness and equity. Her teaching includes courses on Responsible AI, Machine Learning, and Trustworthy Machine Learning at both McGill University and HEC Montreal.

• Cybersecurity and privacy
• Privacy protection
• AI and machine learning
• +۴ مورد دیگر

Dr. Bo Liu is an Associate Professor in the School of Computer Science at the University of Technology Sydney (UTS), where he serves as a core member and director of the AI Security and Privacy (AISP) Research Lab at the Australian Artificial Intelligence Institute (AAII). With expertise spanning cybersecurity, privacy protection, AI and machine learning, and wireless communications, Dr. Liu has established himself as a leading researcher in the field of AI security and privacy. Dr. Liu earned his PhD from the Department of Electronic Engineering at Shanghai Jiao Tong University in 2010. His academic journey at UTS has progressed from Senior Lecturer (November 2019-December 2022) to his current position as Associate Professor (January 2023-present). Dr. Liu's research focuses on the critical intersection of artificial intelligence and security, particularly addressing emerging threats in the age of advanced AI systems. His work spans multiple dimensions of security and privacy, including deepfake detection, privacy-preserving data synthesis, AI model security, and fair machine learning. He has pioneered approaches to detect AI-generated content, protect visual privacy through de-identification techniques, and address the complex relationship between algorithmic fairness and privacy preservation. His publication record demonstrates significant contributions across multiple cutting-edge research areas, with particular emphasis on detecting and mitigating threats from generative AI systems. His recent work reveals a strong focus on deepfake detection across multiple modalities (images, video, and audio), privacy-preserving techniques for sensitive data, and the security implications of emerging AI architectures like Retrieval-Augmented Generation systems. Dr. Liu has secured substantial research funding, including as Lead Chief Investigator on multiple ARC Discovery and Linkage Projects, totaling over $3.5 million AUD. His industry collaborations include partnerships with the NSW Department of Planning and the Reserve Bank of Australia, demonstrating the practical applicability of his research. As an academic leader, Dr. Liu serves as Associate Editor for IEEE Transactions on Broadcasting and actively contributes to the academic community through conference organization, peer review for top-tier venues, and assessment for ARC grant schemes. He also teaches courses including Penetration Testing, Ethical Hacking and Offensive Security, and supervises Masters and PhD students in cybersecurity and privacy research.

Mareike Fuhlrottمشاهده پروفایل

پژوهشگر

• Didactics of the German Language
• Writing Didactics
• Linguistic and Subject-Specific Learning
• +۷ مورد دیگر

Mareike Fuhlrott is a researcher in German Studies at the University of Siegen, Faculty I, specializing in the didactics of the German language with a focus on writing instruction, subject-specific learning tasks, and the integration of artificial intelligence in educational contexts. She is actively involved in teaching, research, and interdisciplinary projects. Her research interests include language-sensitive subject teaching, educational task design, digital learning materials, and Education for Sustainable Development. She employs both qualitative and quantitative research methods and contributes to national and international academic discourse through lectures and workshops. Mareike Fuhlrott is engaged in several collaborative research projects such as KIMADU (AI in German and Mathematics), SBN (Language – Education – Sustainability), KIS (AI Writing Arrangements), DigiWiss, FiSBY, and BiSu. She has delivered numerous presentations on AI in writing instruction, textbook optimization, and linguistic complexity in ESD materials at universities across Germany and Europe. She completed her dissertation under the supervision of Prof. Dr. Torsten Steinhoff and Prof. Dr. Katrin Kleinschmidt-Schinke. She teaches courses for primary school teacher education and leads innovative teaching projects focused on open educational resources (OER), AI-supported assessment, and digital science communication. She also provides academic writing support through the Center for Academic Writing (ZefaS). Her work emphasizes interdisciplinary, reflective, and competence-based approaches to shaping education in the digital age.

Vatsal Sharanمشاهده پروفایل

استادیار

• Machine Learning
• Theoretical Computer Science
• Statistics
• +۶ مورد دیگر

Vatsal Sharan is an Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California's Viterbi School of Engineering. He maintains affiliations with the Theory Group, Machine Learning Center, and the Center for AI in Society at USC. Education: Ph.D. in Computer Science from Stanford University, advised by Greg Valiant Postdoctoral research at MIT, hosted by Ankur Moitra Vatsal Sharan's research centers on the theoretical foundations of machine learning, positioned at the intersection of machine learning, theoretical computer science, and statistics. His work investigates fundamental limits for solving learning and estimation tasks under computational and information-theoretic constraints, with the goal of developing practical algorithms that are efficient, fair, and robust. His research spans memory-efficient learning, algorithmic fairness, robustness in deep learning, and the theoretical underpinnings of transformers and large language models. A significant portion of his work explores how memory constraints affect learning algorithms and whether memory can serve as a distinguishing factor between 'efficient' and 'expensive' techniques in machine learning. His recent publications demonstrate a strong focus on multicalibration, transformer interpretability, and trustworthy AI systems. Scientific Awards: Amazon Research Award (2021 and 2023) SoCal NLP Symposium 2023 Best Paper Award COLT 2022 Best Paper Award Vatsal Sharan advises a diverse group of Ph.D. students including Siddartha Devic, Bhavya Vasudeva, Julian Asilis, Deqing Fu, Devansh Gupta, Spandan Senapati, and Tianyi Zhou. His research is supported by multiple prestigious grants from the NSF, Amazon Research, Google Research, and the Okawa Foundation. He is an active participant in the Learning Theory Alliance (LeT-All), a community-building and mentorship initiative for the learning theory community. His teaching portfolio includes advanced courses on machine learning theory and trustworthy machine learning at USC, where he shapes the next generation of researchers in theoretical aspects of artificial intelligence.

Garreth Tigwellمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Accessibility Design
• Digital Accessibility
• +۵ مورد دیگر

Garreth Tigwell is an Assistant Professor in the School of Information at RIT, co-directing the CAIR Lab with Dr. Kristen Shinohara. His research focuses on accessibility in digital design, particularly for disabled users, addressing challenges faced by novice and expert creators. His work spans topics like accessible prototyping tools, cultural considerations in design, and inclusive mixed reality interfaces. Education: BSc in Psychology, University of Dundee, 2012 MSc (Distinction) in User Experience Engineering, University of Dundee, 2014 PhD in Human-Computer Interaction (HCI), University of Dundee, 2019 Research Interests: Designing accessible digital systems for blind, deaf, and low-vision users Adaptable user interfaces for mixed reality and textured surfaces Cultural dimensions in accessibility pedagogy Authentication methods for visually impaired users Articles Trends: Recent work emphasizes AR/VR accessibility, cultural design frameworks, and haptic authentication. His studies often involve collaborations with global researchers and industry partners. Awards: Best Paper (MobileHCI 2022) CHI Honorable Mention (2023, 2024) NSF-funded research projects Advising & Grants: Active in mentoring graduate students and securing grants. His lab focuses on born-accessible AI tools and inclusive design education. Teaches courses like HCI Research Methods and Future Interactions. Labs/Teams: Co-leads the CAIR Lab, which develops technologies to bridge accessibility gaps in digital design and prototyping.

Eunjung Leeمشاهده پروفایل

استادیار

• Educational Technology
• Gifted Education
• Teacher Education
• +۳ مورد دیگر

Eunjung Lee serves as Assistant Professor of Business Analytics in the College of Business at Lewis University, bringing extensive industry experience from Samsung and LG alongside prior academic roles at Indiana State University. Her expertise bridges business analytics and educational technology with a pronounced focus on equity-driven research. Her educational foundation includes: Ph.D. in Information Technology Management, University of Wisconsin-Milwaukee M.B.A., Korea University B.S., Kwangwoon University Dr. Lee's research trajectory evolved from business analytics toward educational equity, with recent work emphasizing computational thinking in mathematics education, teacher preparation models, and machine learning applications for gifted identification. She investigates how digital tools transform pedagogy while addressing systemic barriers for underrepresented students. Analysis of her 2022-2025 publications reveals dominant themes in equitable gifted identification through cross-cultural validation of the HOPE rating scale, computational thinking integration in teacher training, and longitudinal studies of enrichment program impacts. Her methodology consistently combines quantitative analysis with equity-centered frameworks. No scientific awards were documented in available sources. While specific advising details remain unreported, her courses in Business Intelligence and Forecasting demonstrate applied analytics instruction. Research grants weren't specified in source materials. Collaborative structures like the Lowell Stahl Center for Entrepreneurship provide institutional context, though dedicated labs or research teams weren't explicitly referenced.

• Social Psychology
• Gender Studies
• Gender-Based Violence
• +۹ مورد دیگر

Virginia Ferreiro Basurto is an Assistant Professor in the Department of Psychology at the University of the Balearic Islands (UIB), where she teaches undergraduate and postgraduate courses in psychology, with a strong focus on gender equality and gender-based violence. She is actively involved in postgraduate coordination, including the Chair of Gender Violence Studies and the Summer University of Gender Studies at UIB. Assistant Professor, Department of Psychology, University of the Balearic Islands Coordinator, Chair of Gender Violence Studies, UIB Coordinator, Summer University of Gender Studies, UIB Member, Gender Studies Research Group (ESTUDEGE), UIB Education: Degree in Pedagogy, University of the Balearic Islands Master’s in Inclusive Education, University of the Balearic Islands Doctoral Candidate in Interdisciplinary Gender Studies, University of the Balearic Islands Dr. Ferreiro Basurto’s research centers on gender perspectives in the Information Society, with emphasis on ICT-related social-digital exclusion of women and sexist cyberviolence. Her work explores implicit and explicit attitudes toward gender-based violence, bystander intervention, street harassment, and the myth of romantic love as a justification for abuse. She has contributed extensively to academic discourse through publications and participation in national and international conferences. The trend in her recent scholarly output reveals a consistent focus on gender-based violence in both physical and digital environments. Her articles analyze youth perceptions of cyberaggression, the role of bystanders in intimate partner violence, and methodological advancements in measuring supportive attitudes toward violence. The interdisciplinary nature of her work spans psychology, sociology, gender studies, and digital humanities, often informed by empirical data from Spanish populations. Scientific Awards: No specific awards listed in the provided text. She has been involved in multiple research projects funded by national and international institutions, including the Ministry of Science, Innovation and Universities, FECYT, Ministerio de Economía y Competitividad, Fundación BBVA, and Instituto de la Mujer. These projects cover themes such as critical thinking development in education, citizen involvement in violence prevention, and intervention programs for abusers. She also advises and supervises master’s theses and final degree projects, particularly in gender-focused postgraduate programs. Dr. Ferreiro Basurto is a member of the Gender Studies Research Group (ESTUDEGE) at UIB, a consolidated R&D&I group dedicated to advancing interdisciplinary research on gender, violence, and digital society. Her collaborative work involves designing and evaluating gender-sensitive educational and intervention programs.

Habeeb Olufowobiمشاهده پروفایل

استادیار

• Cyber-Physical System Security
• Embedded Systems Security
• IoT Security
• +۱۰ مورد دیگر

Habeeb Olufowobi is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), where he leads the Cyber-Physical System Security Lab. He holds a PhD in Computer Science from Howard University (2019) and previously served as a Lecturer at Howard before joining UTA in 2020. His research is centered on the security and trustworthiness of embedded and distributed systems, particularly in the domains of autonomous vehicles, IoT, and healthcare AI. He investigates cybersecurity challenges at the hardware-software interface in real-time systems and develops AI/ML models that are transparent, explainable, and equitable. His interdisciplinary work integrates principles from cybersecurity, real-time systems, and machine learning. The recent publications reflect a strong trend in securing cyber-physical systems using advanced AI techniques, with emphasis on intrusion detection, secure communication (e.g., named data networking), and robustness of autonomous systems. His work frequently appears in top-tier venues such as IEEE Transactions, VehicleSec, and ICMLA. Project Management Professional (PMP), PMI (2012–Present) Member, Institute of Electrical and Electronics Engineers (IEEE) (2020–Present) Habeeb has secured significant research funding, including an NIH grant on ethical AI for Chagas disease prediction and an AIM-AHEAD grant focused on health equity. He mentors several graduate students, including Paul Agbaje and Afia Anjum, who have received awards and internships at prestigious institutions like Los Alamos National Laboratory. He teaches courses in cloud computing, embedded systems, and information security, and serves as a faculty advisor for the National Society of Black Engineers (NSBE) at UTA. His lab, the Cyber-Physical System Security Lab, focuses on developing scalable and reliable security solutions for critical infrastructure, with growing emphasis on healthcare applications and fairness in algorithmic decision-making.

• Cultural Studies
• Critical Québec Studies
• Contemporary Literatures and Cultures (France, Canada, Francophone World)
• +۱۰ مورد دیگر

Pierre-Luc Landry is an Associate Professor of French and Francophone Studies at the University of Victoria (UVic), where he has been based since 2019 on the traditional territory of the Lək̓ʷəŋən and W̱SÁNEĆ peoples. He is affiliated with UVic’s Media Studies and Cultural, Social and Political Thought programs. His academic career spans teaching at Cégep de l'Outaouais, Université Laval, University of Ottawa, and the Royal Military College of Canada. Landry holds a PhD and MA in research-creation from Université Laval, following a B.A. in literature studies and a historical foundation from Cégep du Vieux-Montréal. Education: PhD in Research-Creation (Université Laval), MA in Research-Creation (Université Laval), BA in Literature Studies (Université Laval), Cégep du Vieux-Montréal (history) Research Affiliations: Director of Colonialisme, culture & critique / Colonialism, Culture & Critique; Director of Groupe de travail et d’expérimentation sur l’indiscipline; Regular Member of Esthétique et politique de l’image cinématographique (EPIC); Associate Member of Équipe de recherches en études queer au Québec (ÉRÉQQ) Landry’s research integrates queer activism, cultural critique, and creative experimentation. His work spans queer theories, settler colonial studies, Indigenous literature, and media studies, often blending scholarly analysis with artistic practice. His publications include critical essays, experimental texts, and novels that interrogate human behavior, temporalities, and marginalized identities through magical realism and existential themes. Notable awards include the Ottawa Book Prize (2016) for *Les corps extraterrestres* and the APFUCC Best Book Award (2021) for *QuébeQueer*. He received a SSHRC Postdoctoral Fellowship and was a finalist for the Gabrielle-Roy Prize and Radio-Canada Readers’ Prize. Landry co-hosts the podcast J’habite où je lutte with Vanessa Jérome, exploring political resistance and queer lived experiences. Key Themes: Queer resistance, anti-assimilationism, research-creation, political essays, and LGBTQ+ cultural production Media & Artistic Work: Podcast co-host, webzine creator, and multidisciplinary artist

• Islamic Theology
• Qur'anic Studies
• Hadith Studies
• +۱۲ مورد دیگر

Dr. Tajul Islam is a Lecturer in Islamic Studies at the School of Languages, Cultures and Societies , University of Leeds , where he has been a member of staff since 2009. He also holds a visiting position at the University of the Punjab, Lahore. His academic work bridges traditional Islamic scholarship and critical theory, and he is a co-founder of Critical Muslim Studies (CMS) at Leeds, a framework aimed at centering Muslim subjectivity and decolonizing knowledge production in higher education. Education: BA in Arabic and Islamic Studies — University of Leeds PhD in Arab and Islamic Studies — University of Exeter Dr. Islam’s research encompasses a wide range of fields, including Islamic Theology (kalam) , Qur’anic Studies , Hadith , Islamic Law , Islamic Philosophy , Islamism , Islamophobia , antisemitism , racism , Biblical Studies , and Madrasa studies . His teaching emphasizes inclusivity and sensitivity to contemporary issues of identity and prejudice. His recent publications reflect a strong interdisciplinary trend, combining religious studies with food ethics, digital humanities, and decolonial theory. Key themes include theological minimalism , racial justice in early Islam , Islamic reform , and cross-traditional dialogue . He frequently presents at international conferences and public events on topics such as decolonial imagination, fatwa borrowing, and Muslim identity. Scientific Contributions and Recognition: Co-authored a well-cited article on Hanafi fiqh and British Muslims’ views on cultured meat. Published on Qur’anic phonetics and automatic lexis extraction. Contributed to encyclopedias on Ibn Mujahid and the Bible’s use in Islamophobic discourse. Co-founded the Iqbal Centre for Critical Muslim Studies. Dr. Islam supervises a diverse cohort of PhD students on topics ranging from blasphemy laws and translation studies to female religious authority and Qur’anic coherence. He has successfully guided over 15 doctoral candidates to completion. He is also involved in collaborative research and international academic partnerships, particularly with institutions in Pakistan. Labs and Research Groups: Co-Director, Iqbal Centre for Critical Muslim Studies Member of research groups in Arabic Cultural Studies , Conflict , and History

Ion Androutsopoulosمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Ion Androutsopoulos is a Professor of Artificial Intelligence in the Department of Informatics at Athens University of Economics and Business (AUEB), where he also serves as Head of Department. He is founder and co-director of AUEB's Natural Language Processing Group and an Adjunct Researcher at the Digital Curation Unit and "Archimedes" Research Unit of the Research Centre "Athena". His research spans multiple dimensions of Artificial Intelligence with a focus on Natural Language Processing. Key interests include: Machine learning in NLP, particularly deep learning and large language models Question answering and retrieval augmented generation for document collections Dialog systems for new languages and knowledge domains Sentiment analysis and emotion recognition from text and speech Detecting toxic posts and disinformation online Image-to-text generation for medical diagnostics NLP applications in biomedical, legal, and financial domains His recent publications demonstrate strong activity across medical AI (particularly ImageCLEFmed Caption competitions where his group consistently ranks 1st-2nd), legal NLP (LexGLUE benchmark), financial NLP (EDGAR-CRAWLER), and multilingual challenges. His work shows increasing emphasis on large language models, explainability, and practical applications. Notable awards include: Top 2% scientist worldwide (Stanford University database, 2023) Multiple AUEB Excellent Teaching Awards (2017-18, 2021-22, 2023-24) Three consecutive BioASQ awards (2018-2020) Multiple 1st/2nd place rankings in ImageCLEFmed Caption competitions (2021-2025) He actively organizes major events including the Athens Natural Language Processing Summer School (AthNLP) and SemEval tasks. His group maintains strong industry and research collaborations, particularly in medical AI applications where they've developed systems that generate diagnostic captions from medical images with state-of-the-art performance.