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Nina DronkersView profile

Adjunct Professor

• Aphasia
• Cognitive Neuroscience
• Neurodegenerative Diseases
• +3 more

Nina Dronkers is an Adjunct Professor in the Department of Neurology at the University of California, Davis, and a Visiting Scientist in the Department of Psychology at UC Berkeley. Her academic career spans over four decades, with expertise in cognitive neuroscience, aphasia, and neurodegenerative disorders. She has held roles as Director of the Center for Aphasia and Related Disorders at the VA Northern California Health Care System and served as President of the Academy of Aphasia and the Society for the Neurobiology of Language. Dr. Dronkers earned her A.B. in Linguistics, M.A. in Educational Psychology, and Ph.D. in Neuropsychology, all from UC Berkeley. Her research focuses on brain-language relationships, including cerebral localization of language functions using advanced neuroimaging techniques. She pioneered studies on aphasia recovery, the neural basis of speech production, and the role of white matter pathways in language disorders. Her work bridges clinical and experimental neuropsychology, with over 100 peer-reviewed publications. Notable contributions include the discovery of the insula’s role in articulation and the re-examination of historical cases like Leborgne (Broca’s Patient) using modern MRI. She has led numerous NIH- and VA-funded grants, mentored dozens of students and fellows, and received prestigious awards such as the VA Research Career Scientist Award and Contra Costa County’s 'Woman of the Year.' Dr. Dronkers has advised over 30 graduate students and postdoctoral fellows, contributing to their success in neuropsychology and neurology. Her labs and collaborations span institutions like UC San Diego, UCSF, and the Max Planck Institute, advancing interdisciplinary research in neurodegenerative diseases and language rehabilitation.

Edoardo SerraView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +5 more

Edoardo Serra is an Associate Professor in the Department of Computer Science at Boise State University (BSU), a role he has held since July 2021. He previously served as an Assistant Professor at BSU from 2015 to 2021 and holds a joint appointment as a Senior Researcher at Pacific Northwest National Laboratory (PNNL) since June 2021. Since January 2023, he has co-directed the Computing Ph.D. Program at BSU and serves as General Chair of the 2024 ACM CIKM Conference. His academic journey includes a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), followed by postdoctoral positions at the University of Calabria and the University of Maryland. He also served as a Visiting Researcher at UCLA (2010–2011). His research focuses on AI/ML applications in cybersecurity, graph representation learning, generative AI, and robust AI systems. Notable projects include: NSF-funded cybersecurity curriculum integration Department of Defense-funded analysis of terrorist networks Idaho Department of Commerce precision agriculture initiatives Key research areas include graph neural networks, adversarial robustness, and ML-driven security solutions. His work has been recognized with awards such as Best Application Paper (2021) and Best Paper Award (2018). He actively contributes to professional service roles, including program chairs and editorial boards. Current projects emphasize AI ethics, generative models, and scalable graph algorithms. He advises on applied AI consulting for industry and government, focusing on model interpretability and cybersecurity implications.

Hans UszkoreitView profile

Professor

• Artificial Intelligence
• Natural Language Processing
• Information Extraction
• +3 more

Hans Uszkoreit is a German AI researcher and Honorary Professor at Technische Universität Berlin, specializing in language and knowledge technologies. He serves as Scientific Director at the German Research Center for Artificial Intelligence (DFKI) Berlin and co-founder of the Artificial Intelligence Technology Center (AITC) in Beijing. He is also Chief AI Advisor at Lenovo Corporation. His roles include leading initiatives like the Berlin Big Data Center and the German Smart Data Forum, funded by German federal ministries. Uszkoreit’s research focuses on natural language processing, machine translation, and knowledge-based systems, with contributions to projects such as the Multilingual Europe Technology Alliance and spin-off companies like Sematell and Acrolinx. He has supervised over 40 PhD theses, emphasizing computational linguistics and computer science. His work bridges academic research and industry applications, fostering innovation in AI and language technologies.

Antje GumzView profile

Professor

• Psychotherapy Research
• Psychodynamic Psychotherapy
• Therapeutic Relationship Skills
• +9 more

Professor Antje Gumz holds a Professorship for Psychosomatics and Psychotherapy with a focus on Depth Psychology-Based Psychotherapy at the Psychologische Hochschule Berlin (PHB). She leads a dedicated working group focused on psychotherapy research and training, with particular emphasis on therapeutic relationship skills, alliance ruptures, and psychodynamic concepts. Her academic work bridges clinical practice and scientific research, contributing significantly to the field of psychotherapy. Dr. Gumz's research interests span multiple dimensions of psychotherapy, with particular focus on measuring and training therapeutic relationship skills, including alliance ruptures, facilitative interpersonal skills, dealing with transference/countertransference, and enactments. She investigates mediators of therapy success and the role of language and voice in psychotherapy, bringing a unique perspective that integrates psychodynamic and systems theory concepts. Her work emphasizes the importance of understanding the therapist's role in therapeutic tensions and crises, and how these can be transformed into opportunities for therapeutic advancement. Professor Gumz has published extensively on psychotherapy techniques and training, with numerous publications in leading journals. Her recent work focuses on the development of assessment tools like the Psychodynamic Intervention List (PIL) and the Mediators of Change in Psychotherapy Inventory (MoCPI). Her research demonstrates how specific verbal techniques relate to session quality and therapeutic outcomes, providing empirical support for clinical practice. Heigl Foundation Research Grant (2019-2025) for therapist interpersonal skills research German Psychoanalytic Society Research Grant (2017-2019) for therapeutic techniques studies Professor Gumz actively supervises numerous doctoral students and research assistants, fostering the next generation of psychotherapy researchers. Her work extends beyond academia through collaborations with multiple psychotherapy training institutes across Germany. She has developed innovative training approaches like the Modified Alliance-Focused Training with Doubling (MAFT-D) to improve therapists' competencies in handling therapeutic tensions. Her research group maintains strong national and international collaborations, contributing to evidence-based psychotherapy training and improved treatment outcomes.

Iti ChaturvediView profile

Lecturer

• Signal Processing
• Artificial Intelligence
• Social Media Analysis
• +5 more

Iti Chaturvedi is a Lecturer in the Department of Information Technology at James Cook University (JCU). She holds a Ph.D. in Computer Engineering from Nanyang Technological University, Singapore. Her research focuses on signal processing and AI applications in social media, including emotion recognition, speech analysis, and sentiment analysis. She has been recognized as a Top 2% Most Cited Researcher globally (2022) and received the JCU CSE Early Career Researcher Award (2020). She teaches courses such as Machine Learning and Data Science, Programming III, and Design Thinking I. Current research projects include sentiment prediction from social media (since 2020). She serves as an Associate Editor for the Expert Systems journal (2023) and has been an ARC Assessor (2020). Key contributions include work on speech emotion recognition, constrained manifold learning for videos, and multimodal emotion recognition systems. Her research outputs span journals like Expert Systems , Signal Processing , and conferences including IJCNN and AAAI.

Jacob WhitehillView profile

Associate Professor

• Applied Machine Learning
• Speech and Speaker Recognition
• Educational Data Mining
• +3 more

Jacob Whitehill is an Associate Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI), affiliated with the Learning Science & Technologies (LST) program. His research focuses on applying machine learning to education and human-computer interaction, including speech recognition, emotion analysis, and automated classroom observation. He leads the NSF-funded project Developing New Scientific Instruments for Classroom Observation and collaborates on the AI Institute for Student-AI Teaming (iSAT) . His research interests span Applied Machine Learning (e.g., multi-modal systems, speaker diarization), AI for Education (e.g., automated instructional evaluation, child speech recognition), and Emotion Recognition (e.g., affective computing in classrooms). Recent work emphasizes classroom observation tools and improving student-teacher interaction analysis through video and audio data. Notable projects include: NSF-funded classroom observation tools AI Institute for Student-AI Teaming (iSAT) Schmidt Futures-funded Hybrid Human-Agent Tutoring for math education His team includes PhD students Xinlu He (Data Science), Jiani Wang (Computer Science), and Yiwen Guan (Computer Science), along with visiting scholar Cecilia Tivir. He advises students on topics like speaker recognition, educational data mining, and computer vision in classroom settings. Grants and collaborations include NSF, Schmidt Futures, and industry partnerships. His lab develops tools for automated feedback on teaching practices, leveraging LLMs and multimodal data. For more details, contact jrwhitehill@wpi.edu .

Tamara SumnerView profile

Professor

• AI in Education
• Classroom Discourse Analysis
• Educational Technology
• +4 more

Tamara Sumner is a Professor at the Institute of Cognitive Science , University of Colorado. Her research focuses on leveraging AI and educational technology to improve teaching practices, particularly in STEM education, and fostering equitable learning opportunities. She co-leads the Institute for Student-AI Teaming (iSAT), reimagining AI's role in education. Her work emphasizes classroom discourse analysis, teacher professional development, and rural STEM pathways. Key research areas include: AI tools for automating feedback on teacher-student interactions Equity-focused learning analytics and visualizations Rural youth engagement in STEM through community partnerships Integration of computational thinking and sensor technologies in K-12 curricula Her recent articles highlight advancements in automated discourse analysis, equity-driven tools like the SEET system, and AI-augmented tutoring models. She has contributed to grants such as the BIGDATA: IA initiative (2018) and co-designed programs like DaSH Home for remote learning. Her work bridges research and practice, involving educators and communities in co-design processes. Current initiatives aim to address systemic inequities through technology, such as visual learning analytics for classroom reflection and STEM career pathways for underserved rural populations.

• Computer Vision
• Machine Learning
• Deep Learning
• +3 more

Prof. Margret Keuper is a Professor in the Department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics. Her research focuses on advancing machine learning and computer vision techniques, with an emphasis on model fairness, adversarial robustness, and multimodal interactions. She leads interdisciplinary projects exploring topics such as dataset analysis, generative models, and climate action through visual narrative analysis. Research Interests: Her work bridges theoretical foundations and practical applications in domains like adversarial training, image classification robustness, and robotics perception. She explores how vision-language models can be steered to align with human biases and develops methods for data-efficient learning and interpretability. Recent Contributions: Recent work includes FAIR-TAT (model fairness via adversarial training), VSTAR (video synthesis), and TikZero (zero-shot graphics program generation). Her publications in top venues like CVPR, ICCV, and ICLR highlight contributions to both methodological innovation and real-world impact. Collaborations: Works closely with researchers across Max Planck and academic partners, focusing on projects such as sensor layout optimization, climate discourse analysis via social media imagery, and domain-aware foundation model fine-tuning.

Jingchao NiView profile

Assistant Professor

• Machine Learning
• Time Series Analysis
• Cross-Modal Learning
• +9 more

Jingchao Ni is an Assistant Professor in the Department of Computer Science at the University of Houston. He previously worked as a researcher at NEC Labs America (2018-2022) and AWS AI Labs (2022-2024). He earned his Ph.D. in Computer Science from The Pennsylvania State University's College of Information Sciences and Technology in 2018 under Prof. Xiang Zhang. Research Interests: Machine Learning, Time Series Analysis (Cross-Modal/Multimodal Integration, LLM Reasoning), Graph Learning, Anomaly Detection, Generative Models, and applications in Healthcare (personalized systems, Cyber-Physical Systems, AIOps). His recent publications focus on multimodal time series analysis, vision models for temporal data, and interpretable graph neural networks, with deployments in AWS cloud systems. He has advised students on projects involving LLM agents, causal discovery, and robust forecasting. Awards include a AAAI 2019 Most Influential Paper (PaperDigest) and an ICLR 2022 Spotlight Presentation. He leads the Data-Driven Intelligence (D2I) Group and has contributed to tutorials at KDD 2025 and IJCAI 2025.

• Computer Science
• Machine Learning
• Data Science
• +4 more

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

Erin MoriartyView profile

Professor

• Linguistic Ethnography
• Translanguaging
• Language Ideologies
• +8 more

Dr. Erin Moriarty is a Professor and Program Director for the Graduate Program in Deaf Studies at Gallaudet University in Washington, DC. She holds an honorary research fellowship at Heriot-Watt University, following a postdoctoral fellowship with Dr. Annelies Kusters. Her work focuses on linguistic ethnography, translanguaging, deaf mobilities, and the interplay between morality and language. She has led projects such as 'MobileDeaf: Deaf mobilities across international borders' (2017-2023) and studies deaf tourism in Bali. Her research integrates sociolinguistics, anthropology, and mobility studies to explore how deaf individuals navigate global networks, cultural boundaries, and language ideologies. She critiques rigid classifications of deaf communities and emphasizes the fluidity of linguistic practices in transnational contexts. Her projects often involve visual ethnography, such as filmmaking to document deaf tourist experiences. Moriarty’s articles highlight themes like sign language documentation in post-conflict areas, moral orientations in mobile signers, and the politics of translanguaging. She advocates for inclusive educational approaches that respect deaf students’ bilingual needs. Her work bridges academic research with practical implications for deaf communities worldwide. Key Projects: MobileDeaf (2017-2023), Deaf Tourism in Bali Affiliations: Gallaudet University (Primary), Heriot-Watt University (Honorary) Expertise: Deaf mobilities, linguistic ethnography, sign language ideologies

• Library and Information Science
• Knowledge Organization
• Document Studies
• +4 more

Joacim Hansson is a Professor of Library and Information Science at Linnaeus University, Sweden. He teaches at doctoral and master's levels in Library and Information Science and the Digital Humanities program. His research focuses on Knowledge Organization (classification research), Document Studies (digital representation of cultural heritage), and Library Research (institutional identity of libraries). He is affiliated with the Centre for Digital Humanities and the Critical Knowledge Organization Research Group. He serves on editorial boards for journals like Journal of Librarianship and Information Science and is a Senior Associate Fellow at the International Institute of Hermeneutics. His work explores the intersection of classification systems, cultural heritage, and political influences on libraries. He has led projects such as 'Cultivating Information, Organizing Culture' and contributes to initiatives like EUniWell (European University for Well-Being). His publications analyze topics like bibliographic classification's societal role, public libraries in political turmoil, and Jewish library systems' philosophical foundations. He has authored books including Dewey och de svenska biblioteken and De ordnade böckernas folk . His research underscores libraries' democratic roles and the ethical dimensions of information organization. Education: Holds a PhD in Library and Information Science from Gothenburg University (1999) and a licentiate in library studies (1998). His doctoral work examined Swedish library classification systems' societal discourses. Grants and Projects: Leads the 'Cultivating Information' project and contributes to the ReSource graduate school on digital source criticism. Collaborates internationally on classification and cultural heritage digitization.

Chi-Chun LeeView profile

Professor

• Speech and Language Processing
• Affective Computing
• Health Analytics
• +3 more

Chi-Chun Lee (Jeremy) is a Professor and Associate Chair in the Department of Electrical Engineering at National Tsing Hua University (NTHU), Taiwan. He also serves as Director of the NVIDIA-NTHU Joint Innovation Center and leads the Behavioral Informatics & Interaction Computation (BIIC) Lab. His academic journey includes a B.S. (magna cum laude) and Ph.D. in Electrical Engineering from the University of Southern California (USC), USA (2007 and 2012), followed by roles as a data scientist at id:a lab and technical consultant for companies like E.Sun Bank and Allianz Taiwan. Research focuses on speech processing, affective computing, health analytics, and behavior signal processing. He is an IEEE Senior Member and holds editorial roles in top journals such as IEEE Transactions on Affective Computing and Multimedia. Key contributions include leading teams to international competitions (e.g., 1st place in INTERSPEECH 2009 Emotion Challenge) and developing AI frameworks for clinical applications like respiratory sound classification and tumor image synthesis. Recipient of prestigious awards including the NTHU-Novatek Distinguished Talent Chair (2024), National Science and Technology Council Outstanding Research Award (2023), and multiple best paper awards. His work bridges academia and industry, with collaborations extending to NVIDIA and startups like AHEAD Medicine. Research has been featured in major media outlets including Scientific American and Discovery.

• Data Science
• Machine Learning
• Natural Language Processing
• +12 more

Xiuzhen Jenny Zhang is a Professor of Data Science at RMIT University , affiliated with the School of Computing Technologies. Her research bridges artificial intelligence, machine learning, and social media analysis, with a focus on text mining and trustworthy data science. Her recent publications highlight expertise in point-of-interest recommendation , misinformation detection , multi-task learning , and transformer-based NLP . Key trends include applications of large language models for social good, fairness in recommendation systems , and adversarial learning for robustness. Best Paper Award at TrustCom’12 Best Short Paper Award at ADCS’2009 She leads the Text And LanguagE (TALE) research group and has supervised over 20 PhD students. Research grants include Australian Research Council and Victoria state government funding.

Jen'nan Ghazal ReadView profile

Professor

• Health Disparities
• Ethnic Diversity
• Population Health
• +5 more

Jen'nan Ghazal Read is a Professor of Sociology at Duke University with multiple cross-appointments as a Research Professor of Global Health at the Duke Global Health Institute and Professor in the Sanford School of Public Policy. She is also a Faculty Research Scholar at Duke's Population Research Center. Her interdisciplinary work bridges sociology, public health, and policy studies with a focus on ethnic diversity within racial categories. Professor of Sociology, Trinity College of Arts & Sciences (2018-Present) Research Professor of Global Health, Duke Global Health Institute (2018-Present) Professor in the Sanford School of Public Policy (2025-Present) Faculty Research Scholar, Duke Population Research Center (2010-Present) Dr. Read is an internationally renowned scholar who challenges conventional approaches to racial and ethnic categorization in health research. Her work demonstrates substantial health disparities among ethnic groups within broad racial categories like 'White,' particularly focusing on Middle Eastern Americans. She has conducted groundbreaking research showing that using non-Hispanic Whites as a reference category masks important health inequalities among White subgroups, including immigrants from different regions. Her expertise on U.S. Census categories contributed to recent revisions of federal standards for collecting race and ethnicity data. Her publication record reveals a consistent focus on health disparities, with recent work examining immigrant health advantages among White populations, discrimination effects on mental health, and the unique health experiences of Arab Americans. Dr. Read's research spans multiple methodologies including quantitative analysis of national datasets and qualitative interviews with Muslim American women. Bass Chair and Bass Society of Fellows (2019) Howard D. Johnson Teaching Award (2020) Outstanding Teaching Assistant of the Year, University of Texas (1999) Dr. Read has secured significant research funding including the 2022 Census Study Research grant, the ACCESS Arab American Research Initiative, and the Thriving after Surviving project focused on Muslim refugee students. She has been featured in major media outlets including The New York Times, NPR, and Al Jazeera English, and has presented at prestigious institutions worldwide including the National Academy of Medicine, the U.S. Census Bureau, and universities across Europe and the Middle East.