جست‌وجوی استاد و پژوهشگر

Nicholas Evansمشاهده پروفایل

استاد

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

Rhonda Goldmanمشاهده پروفایل

استاد

• Clinical Psychology
• Emotion-Focused Therapy
• Psychotherapy
• +۷ مورد دیگر

Rhonda Goldman is a Full Professor in the Clinical Psychology Department at The Chicago School of Professional Psychology in Chicago, Illinois. She is a licensed Clinical Psychologist in Illinois and runs her private practice, Emotion-focused Therapy, Chicago, where she sees both couples and individuals. Dr. Goldman is a founding board member of the International Society of Emotion-focused Therapy and serves as President of the Emotion-focused Therapy Institute. Dr. Goldman earned her academic credentials from York University in Toronto, Ontario, Canada, receiving her Bachelor of Arts in 1987, Master of Arts in 1991, and Doctor of Philosophy in Clinical Psychology in 1997. She taught at the Illinois School of Professional Psychology for 22 years before transitioning to her current position at The Chicago School of Professional Psychology following the closure of the Illinois School. Dr. Goldman is a leading expert in Emotion-Focused Therapy (EFT), a therapeutic approach that integrates elements of client-centered therapy, Gestalt therapy, and modern emotion theory. Her research focuses on EFT for couples, emotional processes, empathy, vulnerability, depression, case formulation, and self-soothing. She has authored six texts on EFT and two professional videos published by the American Psychological Association. Dr. Goldman teaches graduate courses in Humanistic and Experiential Psychotherapy, Psychotherapy Seminars, and Emotion-Focused Therapy, emphasizing the importance of emotional processing in therapeutic change. Dr. Goldman's publications demonstrate a consistent focus on advancing Emotion-Focused Therapy through both theoretical development and practical application. Her work spans individual therapy, couples therapy, case formulation, and therapist training, with recent emphasis on adapting EFT for online delivery. Her research shows how emotional awareness and processing serve as central mechanisms of change in psychotherapy, with applications across various clinical issues including depression and relationship distress. Dr. Goldman is actively involved in professional organizations that support the development and dissemination of Emotion-Focused Therapy. She serves as a founding board member of the International Society for Emotion-focused Therapy, past-president of the Society for the Exploration of Psychotherapy Integration, Action-Editor for the Journal of Person-centered and Experiential Psychotherapies, and member of the Society for Psychotherapy Research. As an educator and clinician, Dr. Goldman has mentored numerous professionals in the field of psychotherapy. She travels internationally conducting training workshops for mental health professionals in Emotion-focused therapy for Couples and Individuals across Europe, Asia, and North America. Her work bridges research and practice, emphasizing the importance of emotional processing in therapeutic change while maintaining a strong commitment to evidence-based practice. Dr. Goldman co-founded the Emotion-focused Therapy Institute (EFTI), which facilitates and fosters training and educational opportunities for psychologists and therapists interested in incorporating EFT into their professional practices. Through EFTI and her international workshops, she has created a global community of practitioners dedicated to advancing Emotion-Focused Therapy.

• German Linguistics
• Syntax
• Formal Grammar
• +۳ مورد دیگر

Prof. Stefan Müller is a Professor at the Institute for German Language and Linguistics , part of the Faculty of Languages and Literature at Humboldt University. His research focuses on syntax, formal grammar theories (especially Head-Driven Phrase Structure Grammar), and computational linguistics. He leads the CoreGram Project , developing cross-linguistic grammars using HPSG formalisms. His work includes analyses of German syntax, constituent order, anaphoric binding, and register phenomena. He is also involved in open-access publishing initiatives through Language Science Press . Contact: St.Mueller@hu-berlin.de . Education and academic background details are not explicitly stated in the provided text, but his professional trajectory indicates deep expertise in theoretical linguistics. His research spans multiple languages including German, Mandarin, and Persian, with a focus on grammar implementation and syntax-semantics interfaces. Key contributions include the Head-Driven Phrase Structure Grammar Handbook (2024), analyses of headless nominal structures in German (2022), and exploration of large language models' theoretical implications (2024). He actively engages in interdisciplinary projects bridging formal grammar and computational methods.

Jimeng Sunمشاهده پروفایل

استاد

• Artificial Intelligence
• Healthcare Analytics
• Drug Discovery
• +۵ مورد دیگر

Dr. Jimeng Sun is a Health Innovation Professor at the Siebel School of Computing and Data Science and Carle Illinois College of Medicine at the University of Illinois Urbana-Champaign. Co-founder of Keiji AI , he leads groundbreaking research at the intersection of artificial intelligence and healthcare, actively deploying clinical AI systems and developing frameworks like PyHealth and Therapeutics Data Commons . His research spans four major areas: Clinical AI Systems : Developing interpretable models (e.g., RETAIN) for patient similarity, temporal event prediction, medication recommendation, and clinical outcome forecasting Drug Discovery : Creating molecular optimization frameworks, drug-target interaction models, and AI-driven platforms Clinical Trials : Pioneering patient-trial matching, outcome prediction, and optimization frameworks using deep learning and graph neural networks Biosignal Analysis : Advancing sleep staging, seizure classification, and automated EEG/Cardiac monitoring systems With over 500 top-tier publications (including in Nature , NEJM AI , and leading AI conferences) and an h-index of 99, his work has been recognized with the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare award. He maintains active collaborations with institutions like Massachusetts General Hospital , Medidata Solutions , and OSF Healthcare . His recent publications reveal a strong focus on: Reinforcement learning applications in medical data analysis Large language model adaptation for clinical tasks Knowledge graph integration with AI systems Synthetic data generation for healthcare Multi-modal learning in clinical contexts Explainable AI for medical applications Dr. Sun's lab ( Sunlab ) emphasizes practical impact over theoretical work, actively collaborating with hospitals and healthtech companies. He welcomes contributions from clinicians, researchers, and industry partners through initiatives like his AI for Health webinar series .

Henrik Sandbergمشاهده پروفایل

استاد

• Cyber-Physical Systems Security
• Power Systems
• Model Reduction
• +۶ مورد دیگر

Henrik Sandberg is a Professor at the Division of Decision and Control Systems , KTH Royal Institute of Technology , Stockholm, Sweden. He holds the title of Deputy Head of Division and is affiliated with the School of Electrical Engineering and Computer Science . Education: MSc in Engineering Physics (1999) PhD in Automatic Control (2004) from Lund University Postdoctoral position at Caltech (pre-2007) Research Interests: Focus on cyber-physical systems security , power systems , model reduction , and fundamental limitations of control systems . Key sub-areas include attack detection , networked control , privacy-preserving estimation , and resilient control architectures . Publications: Over 150 papers across IEEE Transactions and Automatica , covering topics like stealthy attacks , distributed control , LQG optimization , and thermodynamic costs in filtering . Recent work includes LWE-based encrypted control and Bayesian deception mechanisms . Scientific Awards: Best Student Paper Award Finalist at IEEE CASE 2014; Best Student-Paper Award at IEEE CDC 2004. Grants & Projects: Leads the DYNACON project (WASP Cybersec cluster) and collaborates on CERCES (critical infrastructure resilience). Serves as examiner for multiple advanced courses in cybersecurity and control systems. Contact: Email: hsan@kth.se Phone: +46 (0)8 790 7294 Room: A:607, Malvinas Väg 10, Stockholm

Nina Balcanمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Theoretical Computer Science
• +۱۲ مورد دیگر

Nina Balcan is a Professor at Carnegie Mellon University and holds the Cadence Design Systems Professorship in Computer Science. She is affiliated with the School of Computer Science, specifically the Machine Learning Department (MLD) and Computer Science Department (CSD). Her research spans foundational aspects of machine learning, artificial intelligence, theoretical computer science, algorithmic game theory, and interdisciplinary connections in learning theory. Machine Learning Artificial Intelligence Theoretical Computer Science Algorithmic Game Theory Multi-Agent Systems Data-Driven Algorithm Design Her recent work focuses on advancing algorithm design through machine learning, robustness in adversarial environments, and economic modeling. Key contributions include Learning to Branch (JACM 2024), Regret Minimization in Stackelberg Games (NeurIPS 2024), and Learning Accurate Decision Trees (UAI 2024, Outstanding Student Paper Award). She has pioneered novel approaches to data-driven optimization, semi-supervised learning, and privacy-preserving clustering. Nina has received prestigious accolades including ACM Fellow AAAI Fellow Simons Investigator 2019 ACM Grace Murray Hopper Award Her teaching at CMU includes graduate courses on machine learning, advanced machine learning, and specialized topics like algorithmic game theory.

• Management Education
• Project Management
• Information Management
• +۳ مورد دیگر

Prof. Dr. Frank Ulbrich is a Lecturer and Programme Director for the BSc Business Administration at the Lucerne School of Business (HSLU). He holds a PhD in Business Administration from the Stockholm School of Economics. His academic career spans roles at universities in Sweden, the UK, Canada, and Switzerland, alongside IT & Management consulting experience. Research focuses on management education, project management, information management, and organizational change. He has published extensively in areas like shared services, digital transformation, and curriculum development. Notable awards include multiple Emerald Literati Awards and a Fellowship from the Higher Education Academy. Education: PhD in Business Administration (Stockholm School of Economics) Affiliations: Institute of Business and Regional Economics at HSLU Teaching Subjects: Academic Methods, Higher Education Management, Project Management, Digital Transformation Recent presentations include discussions on bridging academia-industry gaps, curriculum integration of SDGs, and data-driven learning strategies. His work emphasizes aligning education with labor market needs and advancing evidence-based teaching practices.

Kevin D. Ashleyمشاهده پروفایل

استاد

• Computational Social Science
• Artificial Intelligence
• Algorithms
• +۷ مورد دیگر

Kevin D. Ashley is a Professor of Law at the University of Pittsburgh School of Law. He is also a senior scientist at the Learning Research and Development Center and an adjunct professor of computer science at the University of Pittsburgh. His interdisciplinary work bridges artificial intelligence, legal analytics, and ethical reasoning. JD, Harvard Law School M.A. and PhD, University of Massachusetts BA, Princeton University His research focuses on computational modeling of legal reasoning , AI and ethics , legal text analytics , and case-based reasoning . He has pioneered AI applications for legal decision support, automated argumentation, and bias detection in legal corpora. Recent publications include studies on large language models in legal annotation, argument mining, and empirical legal analysis. His work has been supported by multiple National Science Foundation grants, emphasizing fairness in AI and access to justice. 2022 Codex Prize for Computational Law 2015 University of Massachusetts Outstanding Achievement Award 2002 AAAI Fellow for AI in Law contributions 2000 Chancellor’s Distinguished Research Award A former President of the International Association for Artificial Intelligence and Law, Ashley has held visiting roles at the University of Bologna, Stanford CodeX, and IBM Watson Research Center. He co-edits the journal Artificial Intelligence and Law and teaches courses on applied legal analytics.

Shane G. Hendersonمشاهده پروفایل

استاد

• Simulation Optimization
• Applied Probability
• Health Systems
• +۵ مورد دیگر

Shane G. Henderson is the Charles W. Lake, Jr. Professor in Productivity at Cornell University's School of Operations Research and Information Engineering (ORIE). His research focuses on the intersection of optimization and simulation, with applications to complex systems such as bike-sharing networks, medical scheduling, and ambulance deployment. He emphasizes practical societal relevance, addressing challenges in healthcare, transportation, and parallel computing environments. Education: B.Sc. (Mathematics), University of Auckland (1992) M.S. (Statistics), Stanford University (1995) Ph.D. (Operations Research), Stanford University (1997) Research Interests: Structured simulation optimization, parallel computing applications, applied probability, and case-driven problem-solving. Recent work includes MRI scheduling, radiation treatment planning, and land/air ambulance systems. He advocates for methodologies that leverage convexity or quasi-convexity to enhance algorithmic efficiency and robustness. Awards and Recognition: 2016 Tau Beta Pi Professor of the Year 2014 Sonny Yau '72 Excellence in Teaching Award 2011 Hess Research & Education Award NSF CAREER Award (1999) Teaching & Service: Courses in probability, simulation, and mathematical modeling using case-based learning. Served on award committees for INFORMS Nicholson Prize, Pierskalla Prize, and Impact Prize. Organized major conferences including the 2009 INFORMS Applied Probability Society conference and multiple Winter Simulation Conferences. Currently co-edits simulation-optimization testbeds for experimental comparisons. Labs & Collaborations: Active in Cornell's collaborative research environment, focusing on interdisciplinary projects with industry partners like Motivate (bike-sharing systems). Engaged in advancing methodologies for complex systems through data-driven approaches.

• Language Policy and Planning
• Language and National Identity
• Linguistic Justice
• +۵ مورد دیگر

Leigh Oakes is Professor of French and Linguistics in the Department of Modern Languages and Cultures within the School of Languages, Linguistics and Film at Queen Mary University of London. He has held progressive academic positions at the institution since 2000, advancing from Lecturer to his current professorship. His international academic background includes a PhD from the University of Melbourne and research at Stockholm University's Centre for Research on Bilingualism. His educational qualifications include a PhD (2001) and BA (Hons) (1996), both from the University of Melbourne. Oakes specializes in language policy and planning, with particular focus on language and national identity in France, Quebec, and Sweden. His research has expanded into linguistic justice debates in political theory, advocating for normative and interdisciplinary approaches to language policy. Oakes' publication trends reveal a consistent focus on ethical dimensions of language policy, with increasing emphasis on pluricentric justice and linguistic integration since 2016. His work bridges sociolinguistics and political philosophy, demonstrating strong interdisciplinary connections between language attitudes, national identity construction, and policy implementation across Francophone contexts. The 2018 co-authored monograph 'Normative Language Policy' represents a significant theoretical contribution to the field. 2008 Pierre Savard Prize for 'Language, Citizenship and Identity in Quebec' Leverhulme Trust Research Project Grant for 'The Ethics of Linguistic Integration' project Co-editor-in-chief of Sociolinguistica: European Journal of Sociolinguistics Co-editor of Multilingual Matters book series Member of editorial boards for Language Policy and Modern Languages Open Oakes actively supervises PhD candidates in sociolinguistic topics, with current research focusing on linguistic integration in Quebec and adaptation among mobile French speakers. His major Leverhulme-funded project 'The Ethics of Linguistic Integration' examines moral implications of language requirements for immigrants across England, Quebec, and Wales. He serves on several international academic committees including the Association internationale des études québécoises and the British Association of Canadian Studies. He leads the interdisciplinary 'Ethics of Linguistic Integration' research team, which combines expertise from applied linguistics, sociolinguistics, and political theory to investigate language integration policies. His work connects with broader university initiatives through Queen Mary's research highways in social justice and global challenges.

Colleen F. Viscontiمشاهده پروفایل

استاد

• Scholarship of Teaching and Learning
• Evidence-Based Education
• Peer Mentoring
• +۴ مورد دیگر

Dr. Colleen F. Visconti serves as Professor and Program Director of the Speech-Language Pathology program within the Department of Communication Sciences and Disorders at Baldwin Wallace University. She holds a Ph.D. in Child Language Disorders from Case Western Reserve University, an M.S. in Speech-Language Pathology from Pennsylvania State University, and a B.A. in Communication Sciences from Case Western Reserve University. Her educational background includes: Ph.D. in Child Language Disorders, Case Western Reserve University M.S. in Speech-Language Pathology, Pennsylvania State University B.A. in Communication Sciences, Case Western Reserve University Visconti's research centers on the scholarship of teaching and learning and evidence-based education, with specific expertise in peer mentoring systems, interprofessional education frameworks, Zambia-based community engagement initiatives, clinical decision-making protocols, and problem-based learning methodologies. Her scholarly contributions have been disseminated through presentations at state, regional, and national conferences alongside publications in journals such as Teaching and Learning in Communication Sciences & Disorders, Perspectives on Issues in Higher Education, and The ASHA Leader. She has co-authored three significant publications: the forthcoming open-access text 'Scholarship of Teaching and Learning in CSD: Past, Present, and Future', 'Case Studies in Evidence-Based Education: A Resource for Teaching in Clinical Professions' (2021), and 'Scholarship of Teaching and Learning in Speech-Language Pathology and Audiology: Evidence-Based Education'. Additionally, she co-founded and edits the open-access journal Teaching and Learning in Communication Sciences and Disorders. Her distinguished accolades include: Distinguished Contribution Award from the Council of Academic Programs in Communication Sciences and Disorders (2023) Honors of the Association from the Ohio Speech-Language-Hearing Association (2021) Fellow of the Association Award from the Ohio Speech-Language-Hearing Association (2016) Editor's Award from the National Student Speech Language Hearing Association for co-authored article 'Diagnostic Reasoning by Experienced Speech Language Pathologists and Student Clinicians' As an active professional leader, Visconti served as President of the Ohio Speech-Language-Hearing Association (OSLHA) and currently functions as a site visitor for the American Speech-Language-Hearing Association's (ASHA) Council of Academic Accreditation. Her extensive service history includes OSLHA roles as Vice President, Director of Marketing, and University Affairs Representative, alongside ASHA contributions as Convention Committee Member, Special Interest Division Coordinator, and State Legislative Councilor for Ohio. In her academic capacity, she teaches graduate/undergraduate courses including Foundations in Evidence-Based Practice, Articulation and Phonology Disorders, and international Capstone courses in Zambia.

Rebecca Prattمشاهده پروفایل

استاد

• Anatomy
• Fascial System Research
• Histology
• +۱۲ مورد دیگر

Dr. Rebecca Pratt is a tenured Professor in the Department of Foundational Medical Studies at Oakland University William Beaumont School of Medicine (OUWB), where she has been a faculty member since January 2018. She previously held professorial roles at Michigan State University College of Osteopathic Medicine (MSUCOM), where she taught anatomy, embryology, neuroanatomy, physiology, and histology, and served as Associate Professor and Director of Histology at the West Virginia School of Osteopathic Medicine. She also held appointments at Grand Valley State University and completed postdoctoral training at Purdue University. Ph.D., Cell Biology and Oncology, Purdue University B.S., Zoology and Botany/Plant Pathology, Michigan State University Dr. Pratt's research focuses on the fascial system and its role in whole-body health, including fascial continuity, muscle attachment, somatic pain transmission, and biochemical communication. She integrates radiology into anatomy education and advocates for evidence-based medical curricula. Her work bridges clinical anatomy, histology, embryology, and physiology with modern educational practices. Her recent publications reflect a strong emphasis on fascial anatomy, medical education innovation, and the integration of imaging in teaching. Themes include plastination, generational learning trends, and fascia’s role in women's health and athletic performance, published in journals like Clinical Anatomy and Anatomical Sciences Education , as well as in Women and Men’s Health and NIKE magazines. Scientific awards and honors include: Basmajian Award (American Association of Anatomy) Keith and Marion Moore Award (AAA) Five consecutive Golden Apple Teaching Awards at MSUCOM Golden Apple Award at OUWB Dr. Pratt has served in major leadership roles, including President of the International Fascia Research Society, Board Member of the American Association of Anatomy (AAA) and the American Association of Clinical Anatomy (AACA), and Chair of multiple AAA committees. She is a Visiting Anatomy Professor at Weill Cornell and St. George’s University School of Medicine, and faculty advisor for the Docapellas at OUWB. She has been an invited speaker internationally and contributed to high-impact projects like the BodyWorlds Fascial Net Plastination Project. She actively serves on OUWB’s Admissions and Student Promotion and Retention Committees. Dr. Pratt leads and organizes major international initiatives, including the Women's Clinical Health Summit in Rio de Janeiro (2024) and the Fascia Research Congress in New Orleans (2025), fostering global collaboration in fascial science. Her lab and research team focus on fascial anatomy and medical education, working closely with institutions in Italy (University of Padova) and Germany (BodyWorlds project).

Daniel E. Hoمشاهده پروفایل

استاد

• Artificial Intelligence Policy
• Regulatory Governance
• Fairness in AI
• +۳ مورد دیگر

Daniel E. Ho holds multiple prestigious positions at Stanford University: William Benjamin Scott and Luna M. Scott Professor of Law Professor of Political Science Professor of Computer Science (by courtesy) Senior Fellow, Stanford Institute for Economic Policy Research Senior Fellow, Stanford Institute for Human-Centered Artificial Intelligence Faculty Fellow, Center for Advanced Study in the Behavioral Sciences He serves on the National Artificial Intelligence Advisory Commission (NAIAC), as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). Ho earned his J.D. from Yale Law School and Ph.D. from Harvard University, completing a clerkship with Judge Stephen F. Williams on the U.S. Court of Appeals for the District of Columbia Circuit. His research bridges artificial intelligence, law, and public policy with emphasis on: Regulatory governance frameworks for AI systems Fairness and bias mitigation in algorithmic decision-making Environmental enforcement using satellite imagery and computer vision Methods for estimating racial disparities without direct demographic data Legal AI reliability and statutory research systems Analysis of his 2025 publications reveals a consistent focus on practical AI governance tools addressing real-world regulatory challenges. Key themes include developing benchmarks for legal applications, mitigating hallucination in legal AI tools, and creating systems for statutory research. His work demonstrates strong integration of technical AI methods with policy implementation, particularly in environmental enforcement and fairness assessment. As Director of the Regulation, Evaluation, and Governance Lab (RegLab), Ho leads interdisciplinary research partnerships with government agencies. While specific grant details aren't provided, RegLab's operational model indicates substantial research funding for policy-relevant AI projects. No student advisees are mentioned in available materials. Ho's leadership extends to national advisory roles where he shapes federal AI policy through evidence-based recommendations, particularly regarding environmental protection and civil rights enforcement mechanisms.

Steve Mussmannمشاهده پروفایل

استادیار

• Data-centric machine learning
• Active learning
• Experimental design
• +۲ مورد دیگر

Steve Mussmann serves as an Assistant Professor in the School of Computer Science at the Georgia Institute of Technology, where he joined in Fall 2024. His research centers on data-centric machine learning, with emphasis on active labeling, data selection, and adaptive experimental design methodologies. He maintains active collaborations through Georgia Tech's Foundations of AI (FoAI) and ML@GT research groups. Mussmann earned his PhD in Computer Science from Stanford University in 2021 under Percy Liang's supervision, following a BS in Math, Statistics, and Computer Science from Purdue University in 2015. His professional trajectory includes a machine learning researcher role at Coactive AI and an IFDS postdoctoral fellowship at the University of Washington's Paul Allen School of Computer Science and Engineering. His research program investigates theoretical and practical aspects of data efficiency in machine learning systems, particularly focusing on active learning frameworks, statistical properties of data algorithms under concept drift, and task specification via prompts or demonstrations. Current projects address challenges in label-efficient training of large language models and multimodal dataset development. Analysis of his 15 most recent publications reveals a consistent focus on advancing data-centric methodologies, with increasing emphasis on large-scale applications like multimodal datasets and language model fine-tuning. His work bridges theoretical guarantees in experimental design with practical frameworks like LabelBench for benchmarking label efficiency. Mussmann has received recognition through the IFDS postdoctoral fellowship. His contributions to the field include foundational work on active learning theory and data selection algorithms. IFDS postdoctoral fellow He currently advises five graduate students including PhD candidates Kangping Hu (CS) and Hangyu Zhou (ML), alongside MS students Kabir Kang and Kalp Vyas, and undergraduate Saloni Bedi. Former advisee Wei-Liang (Edison) Liao completed BS research under his supervision. His teaching portfolio includes graduate courses CS 7545 (Machine Learning Theory) and CS 8803-DML (Data-centric Machine Learning). Mussmann operates within Georgia Tech's Foundations of AI initiative and ML@GT collective, which provide infrastructure for large-scale data-centric research. His lab develops open-source tools like LabelBench for reproducible evaluation of data selection techniques, with ongoing projects exploring video data exploration systems and adaptive finetuning frameworks for foundation models.

Vincent Alevenمشاهده پروفایل

استاد

• Intelligent Educational Systems
• Learning Sciences
• Human-Computer Interaction
• +۵ مورد دیگر

Vincent Aleven is a Professor in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, where he leads the CATS Lab focused on developing 'smart classrooms' through human-AI collaboration in educational settings. His work bridges learning sciences, human-computer interaction, artificial intelligence, and education to create dynamic learning environments that leverage complementary strengths of learners, educators, and AI systems. His research centers on intelligent educational systems with core interests in cognitive modeling, metacognitive skill development, and case-based reasoning. Key initiatives include AI-based tutoring software for individual/collaborative learning (e.g., middle-school math equation solving), tools supporting self-regulated learning (help-seeking, self-assessment), teacher orchestration dashboards, and browser-based authoring tools like CTAT/Tutorshop that lower development barriers for intelligent tutoring systems. Current projects investigate smartphone-based homework solutions, gamified tutoring interfaces, and comparative effectiveness against platforms like Khan Academy. Scientific Awards: No specific awards mentioned in source materials. Professor Aleven advises graduate students including Kexin Bella Yang and Conrad Borchers. His research is supported by multiple grants, notably a $2M award for testing AI-based mobile tutoring software in underserved middle-school contexts. Major projects encompass: MEME Project : Boosting math outcomes through motivation and self-regulation Metacognition and Motivation : Pittsburgh Science of Learning Center initiative Rapid Tutor Development : Streamlining cognitive model creation Learning-Oriented Dialogue : Enhancing engagement via collaborative problem-solving The CATS Lab operates through deep collaboration with teachers and students in real classrooms, currently exploring how smartphone accessibility, targeted tutor redesign, and parental involvement optimize homework effectiveness. Future directions address AI support for tutors/parents, balancing self-regulatory development with domain learning, and democratizing tutor authoring for educators.