جست‌وجوی استاد و پژوهشگر

Dominik Havsteen-Franklinمشاهده پروفایل

استاد

• Arts Therapies
• Mental Health
• Psychotherapy
• +۷ مورد دیگر

Dominik Havsteen-Franklin is a Professor of Practice in Arts Therapies at Brunel University London, affiliated with the Department of Arts and Humanities within the College of Business, Arts and Social Sciences. He serves as head of the International Centre for Arts Psychotherapies Training (ICAPT) for Central and North West London NHS Foundation Trust, holds Vice Presidency in the European Federation of Art Therapy, and is a Council member of the British Association of Art Therapists. His work bridges academic research with clinical practice in mental health services. His educational background includes: PhD in psychoanalysis (also referenced as Art Psychotherapy and Metaphor) MSc in Psychodynamics of Human Development Accredited Art Psychotherapist Dynamic Interpersonal Therapist certification Mentalization Based Treatment Therapist qualification Havsteen-Franklin's research focuses on empirical investigations of arts-based interventions for mental health conditions, with particular emphasis on Arts-based Dynamic Interpersonal Therapy (ADIT) for depression, Creative and Resilience Engagement (CaRE) for healthcare workers, and arts-based psychosocial practices in South Africa. His work demonstrates a strong commitment to participatory research methods and community-centered approaches to wellbeing. Recent publications reveal an expanding interest in digital applications of arts therapies, posthuman perspectives in therapeutic practice, and addressing systemic biases in mental health services. Analysis of his publication record shows consistent focus on three interconnected domains: (1) developing and validating arts-based therapeutic models for specific populations, (2) exploring the theoretical foundations of arts therapies through philosophical and psychological frameworks, and (3) implementing arts interventions in crisis and high-stress contexts including healthcare settings and pandemics. His work increasingly integrates digital technologies while maintaining core therapeutic principles of embodiment and relational engagement. Havsteen-Franklin actively supervises PhD students in arts disciplines and leads significant research projects including the NIHR-funded ERA RCT investigating arts therapies effectiveness, the CaRE feasibility study for healthcare workers, and arts-based team development interventions for healthcare teams. His clinical work continues through NHS consultancy, art psychotherapy practice, and clinical supervision. He collaborates extensively across disciplines, with notable co-authors including Alice Myles, Cristina Asenjo Palma, Federico Colecchia, and Veena Kumari, demonstrating strong integration between academic research and clinical application in mental health services.

Heike Solgaمشاهده پروفایل

استاد

• Education Systems
• Labor Market Inequality
• Social Stratification
• +۳ مورد دیگر

Prof. Dr. Heike Solga is Director of the Research Department 'Education and Labor Market' at the Social Science Research Center Berlin (WZB) and holds a W3-S Professorship in Sociology at the Free University of Berlin, specializing in work, labor markets, and employment. Her leadership includes directing the completed bridge project on 'Recruitment behavior of companies on training and labor markets'. Her research examines structural inequalities in education and labor systems, with focus areas including: Vocational training systems and school-to-work transitions Social stratification in educational access Gender disparities in academic recruitment Labor market integration of low-skilled individuals Cross-national comparisons of educational policies Recent publications demonstrate strong emphasis on experimental methodologies in studying academic hiring biases, educational disadvantage mechanisms, and comparative analyses of European labor markets. Her work consistently engages with policy implications for reducing social inequalities. She leads significant research initiatives including: Einstein Center Population Diversity (ECPD) Mapping inequalities through the life course (Mapineq) MATH+ as a Research Object Social inequality in access to prestigious degree programs International comparison of appointment standards Her department focuses on interdisciplinary investigations of education-labor market linkages, employing quantitative and experimental approaches to address societal challenges in workforce development and educational equity.

• Social Pedagogy
• Youth and Young-Adult Transitions
• Biographical Research
• +۵ مورد دیگر

Barbara Stauber is a full-time Professor of Social Pedagogy at the University of Tübingen , Faculty of Economics and Social Sciences, Institute of Educational Science, Department of Social Pedagogy. Since 2007 she has held the chair and, together with Prof. Andreas Walther (Goethe University Frankfurt), serves as spokesperson of the DFG Research Training Group “ Doing Transitions – Formen der Gestaltung von Übergängen im Lebenslauf ”. Education and Career 1982–1989: Studies in Political Science and Philosophy, University of Tübingen 1995: Doctorate (Dr. phil.), University of Tübingen – Lebensgestaltung alleinerziehender junger Frauen 2003: Habilitation, University of Tübingen – Junge Frauen und Männer in Jugendkulturen Since 1990: Freelance researcher, IRIS – Institut für regionale Innovation und Sozialforschung Since 1995: Founding member and researcher, tifs – Tübinger Institut für frauenpolitische Sozialforschung Since 2007: Professor of Social Pedagogy, University of Tübingen Research Interests Barbara Stauber’s work centres on biographical transitions in youth and young adulthood, analysed through intersectional lenses of gender, racism and social inequality . She combines reconstructive qualitative methods with transdisciplinary theory to investigate: Youth cultural practices (alcohol & drug use, media, peer cultures) Migration-related transitions (education, work, family formation) Professional support and counselling in transition processes Policy evaluation and prevention programmes Her current DFG-funded graduate college “ Doing Transitions ” (2017-ongoing) examines how transitions are actively shaped in contemporary society across sites in Tübingen and Frankfurt. Research Projects & Funding DFG Research Training Group “Doing Transitions” (2017-) Evaluation “Jugend im öffentlichen Raum – Prävention von riskantem Alkoholkonsum” (2014-2020, Ministry Baden-Württemberg) Crystal-meth use among women (2016-2021, Federal Ministry of Health) “Transition Processing” – counselling services in labour-market transitions (2015-2017, DFG) Labour-market integration of refugees (Hans-Böckler-Stiftung) Regional analysis of right-wing populism & racism (Rosa-Luxemburg-Stiftung) EU projects GOETE, UP2YOUTH, FATE, YOYO, Misleading Trajectories (FP4–FP7) Supervision & Mentoring Stauber currently supervises 14 doctoral candidates within “Doing Transitions” and has successfully mentored 26 completed doctorates and 3 habilitations . Her mentees investigate themes ranging from educational failure and communal living to gender transitions, migration, and biographies of care-leavers. Editorial & Network Roles Co-editor, book series “Übergangs- und Bewältigungsforschung” (Juventa) & “Sociology of Youth Studies Series” (Vienna) Member, scientific boards of DJI project “LSBT*Q Youth in VET”, TIMA project “Lebenshunger”, kit project “Care Leaver” Commission member, DGfE Social Pedagogy & DGS Youth Sociology sections Co-coordinator, Spring/Summer Schools on Qualitative Research, University of Tübingen

Eliana Duarteمشاهده پروفایل

استادیار

• Algebraic Statistics
• Algebraic Geometry
• Commutative Algebra
• +۷ مورد دیگر

Eliana Duarte is an Assistant Professor in Probability and Statistics at Universidade do Porto, where she conducts interdisciplinary research at the intersection of statistics, algebraic geometry, commutative algebra, and combinatorics. Her work focuses on algebraic and geometric methods in statistical modeling, particularly in discrete models, graphical models, and tensor product surfaces. Her research interests include Algebraic Statistics , Graphical Models , Discrete Statistical Models , Toric Varieties , Implicitization , and Polynomial Systems . She applies algebraic techniques to understand the structure of statistical models and their maximum likelihood estimators, with recent work on decomposable models, polytree learning, and rational linear precision in higher-dimensional polytopes. The trend in her recent publications (2016–2024) reflects a consistent focus on the algebraic foundations of statistical models, combining symbolic computation with geometric insight. Her work spans pure mathematical theory and applications in causal inference, microbiome modeling, and geometric design. Key themes include the use of syzygies, toric fiber products, and virtual resolutions in modeling and implicitization. Scientific Awards: No awards listed in the provided text. Advising and Grants: Dr. Duarte advises graduate students in statistics and algebraic methods, although specific advisee names are not listed. She is involved in multiple research projects related to algebraic statistics and probabilistic modeling. While no specific grants are mentioned, her sustained publication record suggests active research funding. Labs and Teams: No specific laboratory or research team name is provided in the text. However, her collaborative publications indicate active participation in interdisciplinary research networks, particularly in algebraic statistics and computational geometry.

Quaylan Allenمشاهده پروفایل

دانشیار

• Educational Equity
• Racial Justice
• Black Male Educational Outcomes
• +۶ مورد دیگر

Dr. Quaylan Allen is an Associate Professor at Chapman University within the Attallah College of Educational Studies , where he teaches undergraduate programs and contributes to the Ph.D. in Education faculty. Holding a Ph.D. in Educational Leadership and Policy Studies from Arizona State University, his expertise spans educational equity, racial justice, and visual research methodologies. Research Interests : Dr. Allen’s work critically examines Black male educational outcomes , college access for underrepresented communities , and intersectional masculinities , with a focus on participant photography as a tool for visual repositioning. His scholarship addresses systemic inequities in K-12 and higher education, particularly how racial microaggressions and hegemonic ontologies impact marginalized youth. Recent Trends : His 2023 article in Visual Studies explores participant photography as resistance against stereotypes, while 2021 studies in Men and Masculinities and AILACTE Journal analyze campus racial climates and educator responsiveness. Collaborative works on Postdigital Science and Education (2021, 2020) examine pandemic-era teaching, and 2018–2015 publications focus on disciplinary practices, cultural wealth, and gender socialization. Notable Appointments : As former director of Chapman’s First-Generation Programs and founding director of the African Studies minor, Dr. Allen has shaped institutional initiatives supporting marginalized students. He currently serves on editorial boards for Urban Education and Gender & Education .

Erich C. Dierdorffمشاهده پروفایل

استاد

• Organizational Behavior
• Human Resource Management
• Data Science
• +۴ مورد دیگر

Erich C. Dierdorff serves as a Professor and William E. Hay Leadership Fellow in the Department of Management & Entrepreneurship at DePaul University's Driehaus College of Business. An award-winning instructor across executive, graduate, and undergraduate business programs, he specializes in organizational behavior, human resource management, and data science applications. His research examines individual/team learning effectiveness, work analysis, and leadership practices with significant industry impact. Education: PhD in Industrial-Organizational Psychology, North Carolina State University MS in Industrial-Organizational Psychology, North Carolina State University BS in Psychology (Minor: Sociology), University of Florida Research Focus: Professor Dierdorff investigates job crafting dynamics, team resilience under stress, and data-driven work design. His work integrates multilevel analysis of psychological collectivism in teams, goal orientation variability, and reciprocity mechanisms in organizational citizenship behavior, often applying data science to human capital problems. Publication Trends: Recent articles (2017-2025) reveal consistent emphasis on team training evaluation, job crafting motives, and work design consequences. He frequently publishes in top-tier journals like Journal of Applied Psychology and Academy of Management Journal, with growing focus on contextual moderators and longitudinal team performance patterns. Scientific Awards: William E. Hay Leadership Fellow Advising and Grants: While specific students or grants aren't listed, his industry partnerships with General Electric, Amazon Web Services, Siemens, and the U.S. Department of Labor indicate substantial contract research funding. He contributes evidence-based interventions in leadership development, competency modeling, and selection system design across corporate, sports, and military sectors. Labs and Teams: Professor Dierdorff developed TeamMATE® for team training evaluation (2016) and works with cross-functional industry teams. His research on O*NET tools and the greening of occupations involves U.S. Department of Labor collaborations, focusing on real-world human capital analytics.

Luis Alberto Barron Cedenoمشاهده پروفایل

دانشیار

• Natural Language Processing
• Information Retrieval
• Machine Learning
• +۷ مورد دیگر

Luis Alberto Barron Cedeno is an Associate Professor at the Department of Interpretation and Translation, University of Bologna since 2022, where he previously served as Senior Assistant Professor from 2019-2022. He holds a PhD in Computer Science from Universitat Politècnica de València (2012) and has worked at Qatar Computing Research Institute (2014-2019) and TALP Research Center (ERCIM fellowship, 2012-2014). PhD: Universitat Politècnica de València (2012) MSc: AI (Universitat Politècnica de València, 2009) MSc: Computing Science (UNAM, 2007) BEng: Computing (UNAM, 2004) His research focuses on NLP applications for analyzing text qualities like originality (plagiarism detection) and intent (hate speech, propaganda). Recent work includes persuasion techniques in spam emails , misogyny detection using argumentation theory, and Spanish language varieties analysis. He has published over 100 papers with 20+ in top-tier conferences. Key awards include SemEval 2020 Best Task for propaganda detection and ACL 2020 Best Demo . He serves as Specialty Chief Editor for Frontiers in Artificial Intelligence (NLP) since 2023. His students include PhD candidates Arianna Muti (misogyny detection), Katerina Korre (hate speech), and Paolo Gajo (inceldom analysis). 2020: SemEval Best Task 2020: ACL Best Demo 2012: PhD International Mention 2009: Best MSc Thesis 2007: MSc Cum Laude 2004: BEng Cum Laude He organizes the annual CheckThat! lab at CLEF since 2018 and chaired CLEF 2022. His teaching includes NLP courses, computational linguistics, and game localization for translation students.

Victor D. Quintanillaمشاهده پروفایل

استاد

• Access to Justice
• Legal Education
• Social Psychology
• +۷ مورد دیگر

Victor D. Quintanilla is Professor of Law and Val Nolan Faculty Fellow at Indiana University's Maurer School of Law, with additional affiliation in the Department of Psychological and Brain Sciences. He serves as Co-Director of the Center for Law, Society, & Culture and holds status as a Faculty Affiliate of the Equity Accelerator and Schmidt Futures Innovation Fellow. Quintanilla joined the Maurer School of Law faculty in 2012, bringing expertise that bridges legal scholarship with social psychology. Quintanilla earned his Ph.D. from Indiana University (2024), J.D. from Georgetown University Law Center (2004, magna cum laude, Order of the Coif), and M.P.A. and B.B.A. from the University of Texas at Austin (2001). Prior to academia, he worked as a trial attorney for the U.S. Department of Justice and as an associate at Sidley Austin LLP. His research program uniquely integrates social psychology with legal scholarship, focusing on access to justice and legal education. Quintanilla investigates how psychological methods can improve experiences for unrepresented persons in court, particularly vulnerable minorities and disadvantaged groups. His work develops scalable psychological interventions that enhance success on the LSAT and bar exam through growth mindsets, adaptive stress mindsets, and social belonging concepts. He creates research infrastructure for continuous improvement of equitable experiences in courts, collaborating with judges to increase justice and equity. Quintanilla's publications reveal consistent focus on civil procedure, pro se representation, and the psychological dimensions of legal processes. His work demonstrates how psychological science can improve civil rights enforcement, address cognitive biases against unrepresented litigants, and develop human-centered civil justice design. Recent research examines digital inequalities in virtual court systems and pandemic impacts on bar exam performance. Val Nolan Faculty Fellow Schmidt Futures Innovation Fellow Center for Advanced Study in the Behavioral Sciences Fellow at Stanford University (2015-2016) American Bar Foundation / JPB Foundation, A2J Fellow (2020-2022) Faculty Affiliate of the Equity Accelerator Quintanilla's research has received funding from the American Bar Foundation, AccessLex Institute, Character Lab, Pew Charitable Trusts, and Schmidt Futures. He leads initiatives that enhance equity in courts and across legal education, developing interventions to improve the civil justice system. His work with the Indiana Civil Legal Needs Study and Legal Aid System Scan demonstrates commitment to practical applications of his research. Quintanilla has presented his findings at major academic conferences including the Society for Personality and Social Psychology, the Society for the Psychological Study of Social Issues, and the Law and Society Association. Quintanilla directs research infrastructure for continuous improvement of equitable experiences in courts and leads access to justice initiatives. His work with the Center for Law, Society, & Culture fosters interdisciplinary collaboration between legal scholars and social scientists. Through his innovative approach combining psychological methods with legal scholarship, he creates practical interventions that address systemic barriers in the justice system.

Wolfgang Gaißmaierمشاهده پروفایل

استاد

• Judgment and decision making
• Individual differences in decision making
• Risk perception and communication
• +۴ مورد دیگر

Prof. Dr. Wolfgang Gaißmaier is a full-time faculty member at the Department of Psychology, University of Konstanz, specializing in Social Psychology and Decision Sciences. His research explores judgment and decision-making processes under uncertainty, with particular focus on individual differences in decision strategies, risk perception and communication, medical decision-making, ecological rationality, and heuristic modeling. Current research projects include "Political Elites and Inequality: Information, Heuristics and Policy" Co-developer of the riskyrApp and FFTrees R packages for risk literacy and decision modeling Key contributor to the Collective Behaviour Cluster of Excellence at University of Konstanz His recent publications examine cognitive biases in statistical information processing, the effectiveness of visual risk communication tools, and the psychological foundations of collective behavior. He collaborates extensively with researchers across psychology, economics, and computer science, particularly with Dr. Hansjörg Neth and Dr. Helge Giese. Major contributions include: Developing computational models of decision heuristics Investigating social learning mechanisms in risk perception Advancing tools for transparent risk communication Exploring the narrative bias in health decision-making Studying group dynamics in knowledge diffusion

Kinnis K. Goshaمشاهده پروفایل

استاد

• Conversational AI
• Social Media Data Analytics
• Computer Science Education
• +۶ مورد دیگر

Dr. Kinnis Gosha is the Hortenius I. Chenault Endowed Professor of Computer Science and Academic Program Director for Software Engineering at Morehouse College. He serves as Executive Director of the Morehouse Center for Broadening Participation in Computing and is the Principal Investigator for the NSF-funded Institute for African-American Mentoring in Computing Sciences (IAAMCS) . Dr. Gosha earned his B.S. in Computer Science from Albany State University , an M.S. in Computer Science and Software Engineering from Auburn University , and a Ph.D. in Human-Centered Computing from Clemson University . His research focuses on conversational AI , social media data analytics , computer science education , and culturally relevant computing , with over 60 peer-reviewed publications. He leads the Culturally Relevant Computing Lab , where 21 undergraduates have pursued doctoral degrees. His work includes collaborations with Google, Microsoft, and the National Science Foundation, notably developing virtual reality anti-bias training tools and SMS-based mentoring systems. Key awards include the 2019 RESPECT Conference Distinguished Paper Award and the 2014 Atlanta Magazine Groundbreakers Award .

Nadine Aburummanمشاهده پروفایل

مدرس

• Computer Graphics and Animation
• Real-time Computer Graphics
• Extended Reality (XR)
• +۸ مورد دیگر

Nadine Aburumman is an Associate Dean for Equality, Diversity and Inclusion (EDI) and Lecturer in Computer Science at Brunel University London, within the College of Engineering, Design and Physical Sciences. She leads the Graphics and Extended Reality Team (GERT) and is a member of the Centre for AI: Social and Digital Innovation and the Interactive Multimedia System (IMS) research group. Her academic journey includes postdoctoral positions at University College London, the Computer Science Research Institute of Toulouse, and Friedrich-Alexander University Erlangen-Nürnberg. Dr. Aburumman holds a BSc and MSc in Computer Science, with her MSc specializing in computer graphics, vision and imaging, and a PhD in computer science focusing on digital human and shape simulation. She was awarded a PhD Erasmus Mundus Scholarship for her doctoral studies at Sapienza University of Rome. She also holds FHEA status (PgCAP in academic practice) and is a Professional Member of the British Computer Society (BCS). Her research spans real-time computer graphics , extended reality , and AI-powered immersive technologies . She investigates interactive character animation, physically based simulations, and the application of VR/AR/XR in interdisciplinary contexts including neuroscience, education, and social interaction. Her work bridges computer science with practical applications in healthcare, training, and human-computer interaction, with a particular focus on making technology accessible and inclusive. Dr. Aburumman's publication record shows increasing interdisciplinary work, with recent publications focusing on collaborative virtual environments, haptic feedback systems, and the integration of neuroscientific methods like fNIRS to study human responses in virtual environments, particularly with neurodiverse populations. Her work demonstrates a clear trajectory from foundational graphics research toward applied, socially relevant technology development. 2024: Runner-Up: Lecturer of the Year (Student Led Award-University Level) 2023: The Recognition of Excellence (RoE) Award 2022: Brunel Research Initiative And Enterprise Fund (BRIEF) Award 2016-2018: CIMI Post-doctoral Fellowships 2014: Best paper and best presentation awards at the 30th SCCG conference 2012: EU Erasmus Mundus PhD Scholarship Dr. Aburumman has supervised over 140 undergraduate students (including 50 Final Year Projects) and 16 successful MSc dissertations. Notable students include Mariama Kebbeh Suko who won the 2021 BCS prize for her AR project on African & Black History, and Brandon Michael whose work on VR language pedagogy was accepted for publication. She currently supervises PhD students Mingzhao Zhou (real-time visual and haptic feedback) and Rania Xanthidou (haptic feedback in VR learning environments). Her research is supported by multiple grants including Royal Society Partnership Grants, RCIF Grants, and projects with the RESPECT4Neurodevelopment initiative. As leader of the Graphics and Extended Reality Team (GERT), Dr. Aburumman fosters interdisciplinary collaboration across computer science, neuroscience, and education. Her team works on projects ranging from droplet-solid interaction simulations to VR systems for neurodiverse children, reflecting her commitment to applying graphics research to real-world challenges. She co-coordinated the AI Centre Thought Leadership series for 2023-2024 and is actively involved in outreach through programs like Code First Girls and Made In Brunel.

• Recommender Systems
• Multimodal Learning
• Music Emotion Recognition
• +۳ مورد دیگر

Marta Moscati works at the Institute of Computational Perception at Johannes Kepler University Linz , focusing on advanced recommendation systems and multimodal learning. Her research spans emotion-based music recommendation, privacy-preserving machine learning, and graph neural networks. Recent work includes: Developing multimodal single-branch architectures for cold-start scenarios Creating preference obfuscation techniques in implicit feedback systems Advancing music emotion recognition with semi-supervised graph networks Contributing to the FAME Challenge for multilingual face-voice association She has published extensively in top AI venues while maintaining technical expertise in both deep learning and theoretical physics , with early work on lepton universality violation. At JKU, she contributes to: Recommendation algorithms development Multimodal representation learning research Musical affective computing applications Privacy-preserving AI frameworks

Claudia Poch Pérez Botijaمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Working Memory
• Neurophysiology
• +۵ مورد دیگر

Claudia Poch Pérez Botija is a researcher affiliated with the School of Language and Education at Universidad Nebrija. Her work focuses on Psychobiology , particularly in cognitive neuroscience and neurophysiological mechanisms of memory and attention. Doctorate: Universidad Autónoma de Madrid (2015) Thesis: Neural oscillatory activity associated with attention orientation in working memory Supervisors: Dr. Pablo Campo Martínez-Lage, Dr. Luis Carretié Arangüena Key research areas include working memory dynamics , emotional processing , neural oscillations (alpha/gamma), and language cognition . Her studies often employ EEG/ERP techniques to explore memory-perception interactions and bilingual cognitive control. Recent publications reveal trends in: Pattern separation mechanisms during memory encoding Cross-modal integration in illusory perception Emotional primacy effects in memory recognition Lesion studies of temporopolar regions in epilepsy patients Neurogenetic influences on fear conditioning (D2 receptor variants) Alpha/gamma oscillation modulation in attentional processes She contributes to understanding mnemonic discrimination , semantic memory impairment in neurological conditions, and neural correlates of bilingualism . Her work bridges basic cognitive mechanisms with clinical applications in temporal lobe epilepsy. Active in the CINC Nebrija Research Center on Cognition and CEDI Research Group , she investigates interrelations between cognition, education, and individual differences.

Anna Broszkiewiczمشاهده پروفایل

استادیار

• Second Language Acquisition
• Form-focused instruction
• Explicit and implicit language knowledge
• +۴ مورد دیگر

Dr. Anna Broszkiewicz is an Assistant Professor at the Faculty of English, Adam Mickiewicz University, with expertise in Second Language Acquisition and language pedagogy. Her work emphasizes form-focused instruction, explicit/implicit language knowledge, and teacher training, complemented by professional roles in educational management and student coaching. MA in English (Poznań, 2004) PhD in English (Poznań, 2011) Postgraduate Studies in Coaching (AMU, 2017) Postgraduate Course in Educational Management (Teacher Training Center Poznań, 2019) Her research spans classroom-based studies on language learning strategies, TEFL methodologies, and teacher development. She has organized annual ODNoWA Languages conferences on topics like vocabulary, grammar, and assessment (2016-2022) in collaboration with ODN Poznań. Dr. Broszkiewicz received multiple institutional and national awards for didactic excellence, including the Minister of Science and Education Prize and National Education Commission Medal in 2022. She has coordinated grants like the NCBiR-funded Effective English Language Learning project and participated in European KA203 research initiatives.

• distributed robot systems
• human-robot interaction
• multi-agent systems
• +۳ مورد دیگر

Yu Zhang serves as an Associate Professor in the Department of Computer Science and Engineering within the School of Computing and Augmented Intelligence at Arizona State University. His academic trajectory includes prior roles as a postdoctoral research scholar and research assistant professor at ASU, establishing him as a key contributor to robotics and artificial intelligence research. Education Ph.D. in Computer Science, University of Tennessee, Knoxville Research Focus Dr. Zhang's work centers on distributed robot systems, human-robot interaction, and multi-agent planning, with emphasis on human-aware decision-making frameworks. He develops explicable planning methodologies to enhance robot transparency and safety in collaborative environments, exploring implicit communication techniques like virtual shadows to maintain team situation awareness during tacit human-robot interaction. Publication Trends Analysis of his 15 most recent publications (2021-2025) reveals a dominant focus on explicable and safe planning for human-robot teams, constituting over 60% of his output. Key innovations include virtual shadow rendering for awareness projection, reward adaptation via Q-manipulation, and grounded language frameworks for robust coordination. His research consistently integrates multi-agent perspectives with human cognitive models to bridge robotic capabilities with human interpretability. Scientific Recognition No specific awards documented in available sources Mentorship and Teaching Dr. Zhang supervises doctoral and master's students through dissertation research (CSE 799) and thesis projects (CSE 599), teaching advanced courses including Artificial Intelligence (CSE 471/571) across 15+ semesters (2020-2025). His extensive graduate instruction portfolio demonstrates commitment to developing next-generation robotics researchers, though specific grant funding details remain unlisted. Research Environment Based at ASU's Tempe campus, Dr. Zhang contributes to the university's robotics ecosystem through investigations into human-aware planning and explicable autonomy. His work aligns with collaborative initiatives advancing multi-robot coordination and human-robot teaming for real-world applications.