جست‌وجوی استاد و پژوهشگر

• Music Therapy
• Expressive Therapies
• Mental Health
• +۷ مورد دیگر

Elizabeth Eggerding is an Assistant Professor of Music Therapy at Converse University's Petrie School of Music, bringing over 20 years of clinical, educational, and administrative experience in music therapy. She holds a PhD in Expressive Therapies from Lesley University and is a board-certified music therapist (MT-BC). Education: PhD in Expressive Therapies, Lesley University Master of Science in Music Therapy, Radford University BS in Music Therapy & BA in Psychology, State University of New York at Fredonia Her research and clinical expertise focus on therapeutic presence , music therapy in mental health and psychiatric settings , and the development of music therapy education and training programs. She has established music therapy internships and clinical services in state psychiatric hospitals and skilled nursing facilities across multiple states. Her 2023 dissertation represents a significant contribution to the field, using an arts-based phenomenological approach to explore how therapeutic presence is cultivated in music therapy students. The work bridges clinical practice, pedagogy, and qualitative research in expressive therapies. Professional Leadership: President-Elect, Southeastern Region-American Music Therapy Association (SER-AMTA), 2023–2025 Secretary, SER-AMTA, 2021–2023 Former President, Virginia Music Therapy Association Active member and co-chair of state task forces for music therapy recognition in Virginia, Mississippi, and South Carolina Dr. Eggerding has presented widely on clinical techniques (e.g., song discussion for symptom management), professional development, and her research. She has advised program development, including the MUW Music Therapy Clinic, and continues to mentor students and shape music therapy curricula. She is actively involved in advancing the profession through advocacy and leadership. She previously taught at Mississippi University for Women and worked for ten years at Eastern State Hospital in Williamsburg, VA, expanding services in civil admissions, forensic, and geropsychiatric programs.

• Cross-Cultural Psychology
• Music Psychology
• Consumer Attitude
• +۷ مورد دیگر

Keegan Kok is a Lecturer in Psychology at Charles Darwin University, Faculty of Health, where he contributes to teaching and research in cross-cultural and music psychology. He is registered to supervise postgraduate research and engages in interdisciplinary collaborations across psychology, leisure sciences, and human-computer interaction. Education: PhD in Culture and Music Psychology, Curtin University of Technology (awarded October 2024) Bachelor's degree, Curtin University of Technology (awarded February 2020) His research explores how cultural backgrounds shape cognition, perception, and music consumption, with a methodological blend of qualitative and quantitative approaches. He is particularly interested in cross-cultural differences and interdisciplinary projects that bridge psychology with technology and environmental behavior. His recent publications (2023–2025) span topics including music use in Japan, social media engagement in nature parks, voice assistant design, and safety communication in outdoor recreation. These works reflect a strong focus on consumer attitudes, social interaction, and thematic analysis, often in cross-cultural or technology-mediated contexts. Scientific Affiliations and Positions: Lecturer in Psychology, Charles Darwin University Adjunct Research Fellow, Curtin University of Technology (from March 2025) He contributes to the UN Sustainable Development Goals, particularly in education and cultural understanding. His research has been published in journals such as Psychology of Music , Computers in Human Behavior , and Leisure Sciences . With an h-index of 26 (Scopus, 2023), he is an emerging scholar in interdisciplinary psychological research. He is involved in customer journey mapping, thematic analysis, and cross-cultural studies, often collaborating internationally.

• Marketing Strategy
• Consumer Behavior
• Digital Marketing
• +۷ مورد دیگر

Daniel Daniel Martinez is an Assistant Professor in the Department of Marketing at the College of Business, The University of Texas at Arlington, where he has been serving since September 1, 2021. He holds a PhD in Management & Marketing from the University of Arizona and brings a multidisciplinary background with a BS in Electrical & Computer Engineering and an MBA from The University of Texas at El Paso. He teaches courses such as Marketing Research, Principles of Marketing, and Multicultural Marketing. Education: PhD, Management & Marketing, University of Arizona, 2021 MBA, Business Administration, The University of Texas at El Paso, 2016 BS, Electrical & Computer Engineering, The University of Texas at El Paso, 2015 Dr. Martinez's research focuses on marketing strategy, consumer behavior in digital environments, and sociopolitical aspects of branding. His work explores how political ideology affects consumption, the impact of celebrity activism on brand performance, and crisis management in the context of product-harm events. He employs both quantitative and qualitative methods to study consumer responses across social media and digital platforms. The recent publications and presentations reveal a strong trend in examining the intersection of politics, media, and consumer behavior. His work frequently addresses how brands and celebrities navigate sociopolitical discourse on platforms like Twitter, and how such engagement influences audience perception and brand outcomes. Several studies analyze activism, ideological alignment, and cross-platform behavioral responses, indicating a cohesive research program centered on ethical and strategic dimensions of modern marketing. Scientific Awards and Honors: Bob Rogers Memorial Award, UTA's MSMR Alumni Association (2023) 2020 Lisa Scheer Award for Best Proposal, Marketing Strategy Consortium (2020) AMA Winter Academic Conference Best Paper in Track – Interfirm Complexity (2019) Small Research Grants, Eller College of Management (2017, 2018) Multiple undergraduate honors at UTEP including Valedictorian and Best Senior Project (2015) Dr. Martinez advises undergraduate research, including honors theses, and has served as faculty advisor for student organizations such as ALPFA and the American Marketing Association. He has received research funding, including a sponsored project titled 'Association of Latino Professionals for America at UTA' funded by Toyota Motor Credit Company. His service includes leadership roles in college task forces, database committees, and mentorship programs. He is also an active reviewer for major marketing conferences. He is involved in research teams and collaborative projects, particularly through the Research Incubator Series at the College of Business, and leads initiatives that promote diversity and global connectedness within the academic and local business community.

Rajinder Bhandalمشاهده پروفایل

مدرس

• Operations Management
• Supply Chain Management
• Logistics
• +۱۲ مورد دیگر

Dr. Rajinder Bhandal is a Lecturer in Management at the Department of Analytics, Technology and Operations, Leeds University Business School, University of Leeds. With over 12 years of experience in higher education, she teaches across undergraduate and postgraduate programs in management, operations, supply chain, and decision-making. She is a Fellow of the UK Higher Education Academy, recognizing her excellence in teaching and learning support. Her educational background includes: PhD in Marketing, Leeds University Business School MSc in Digital Marketing (awarded with distinction), University of Huddersfield BA (Hons) in Marketing, Retailing and Distribution, University of Huddersfield Dr. Bhandal’s research is interdisciplinary, focusing on the intersection of disruptive technologies—particularly digital twins—and human behaviour in supply chains. Her work spans sustainable contracting, logistics, digitalization, consumer behaviour, and decision-making. She actively contributes to advancing knowledge through public engagement, academic discourse, and industry collaboration. The recent publications and media engagements reflect a strong trend toward integrating digital innovation—especially AI and digital twins—into supply chain and healthcare operations, with increasing emphasis on sustainability, resilience, and human agency. Her work bridges academic research with practical applications in public policy, procurement, and healthcare delivery. Her scientific recognition includes: Fellow of the UK Higher Education Academy Chartered Institute of Marketing ‘MSc Marketing Award’ Lorna Young Foundation Award for best ‘MSc Strategic Marketing Plan’ She has been actively involved in grant-like academic initiatives and collaborative research, particularly through her role as co-moderator and panelist in symposia hosted by the World Commerce and Contracting Foundation and the Journal of Operations Management. She has contributed to educational innovation by exploring the use of generative AI in teaching mechanical engineering students. Her mentoring and teaching roles suggest active academic advising, though no formal PhD students are listed. Dr. Bhandal leads and participates in several research groups and initiatives, including the Centre for Decision Research and the Centre for Operations and Supply Chain Research at Leeds. She is a key figure in the Digital Twin Consortium®, serving as Ambassador and Co-Chair of the Academia & Research Working Group, and contributes to the editorial board of the MDPI journal Logistics .

Alan Blackwellمشاهده پروفایل

استاد

• Artificial Intelligence
• Human-Computer Interaction
• Critical Design
• +۷ مورد دیگر

Professor Alan Blackwell is a Senior Member of the University of Cambridge Computer Laboratory, Fellow of Darwin College, and co-Director of Cambridge Global Challenges. He leads the Crucible network for interdisciplinary collaboration between technologists and Arts/Humanities researchers, while serving as non-executive Director of Cambridge Enterprise. His research focuses on human-centered design of AI systems, critical design theory, and technology accessibility for marginalized populations. School of Technology, University of Cambridge Computer Laboratory affiliation Co-Director roles in Crucible network and Cambridge Global Challenges Research interests include AI ethics , participatory design , and critical technology development . He investigates epistemic justice in algorithmic systems, embodied interaction models, and decolonial computing approaches. Current work explores the politics of knowledge production in AI development and pluriversal computational frameworks that integrate diverse cultural epistemologies. Recent publications reveal trends in interdisciplinary AI ethics , computational diversity , and participatory technology . Themes include epistemic accountability , decolonial machine learning , and human-AI collaboration frameworks , reflecting his commitment to socially responsible computing. As an educator, he co-teaches courses on human-centered AI , socio-technical design , and critical programming language theory . He supervises PhD students in AI for Environmental Risk CDT and other interdisciplinary programs.

Jelle Zuidemaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Explainable AI
• Cognitive Modelling
• +۶ مورد دیگر

Dr. Jelle Zuidema is Associate Professor in Natural Language Processing, Explainable AI and Cognitive Modelling at the Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam, with primary affiliation in the Natural Language Processing research group and secondary affiliation in Language & Music Cognition. He directs the Cognition, Language and Computation lab (CLC-lab) within the Faculty of Science. His research bridges artificial intelligence, cognitive science and linguistics with focus on interpretable deep learning models for text and sound. He pioneered techniques including diagnostic classification (probing), attention rollout, TreeLSTM, and masked language modeling. His work addresses fundamental questions about hierarchical compositionality in language and how neural networks can represent linguistic structure. Analysis of his publication record reveals consistent innovation in neural network interpretability methods, with recent work focusing on bias detection in language models and attention flow quantification. His research trajectory shows evolution from foundational neural parsing work to current emphasis on explainable AI and cognitive plausibility of deep learning models. Dr. Zuidema actively supervises PhD and MSc students while teaching courses including Evolution of Language and Music, Foundations of Neural and Cognitive Modelling, and Interpretability & Explainability in AI. He coordinates the Cognitive Science track in the Brain & Cognitive Sciences master's program. He directs the CLC-lab which pursues both hypothesis-driven methods (diagnostic classifiers, representational similarity analysis) and data-driven methods (layer-wise relevance propagation, contextual decomposition) for neural network interpretation. The lab's InDeep project focuses on interpreting deep learning models for text and sound processing.

• Computational Creativity
• Machine Learning in Music
• Neural Networks
• +۴ مورد دیگر

Kaliakatsos Papakostas Maximos is an Associate Professor in AI in Music at the Department of Music Technology and Acoustics, Hellenic Mediterranean University, where he also directs the MSc program in Sound and Music Technologies. He collaborates with the Athena Research and Innovation Centre and the Cognitive and Computational Musicology Group at Aristotle University of Thessaloniki. His research focuses on computational creativity, neural networks in music understanding, evolutionary algorithms for harmony and rhythm generation, and interactive music systems. He develops applications like Genius Jam Tracks and contributes to open-source projects such as the CHAMELEON harmonisation system. His work bridges music theory, AI, and technology, with applications in mobile music tools and cognitive modeling. Research Interests : Computational Creativity through Machine Learning and Conceptual Blending Neural Networks in Music Generation and Analysis Evolutionary Computation for Musical Structures Human-Computer Interactive Systems for Improvisation Cognitive Models of Musical Perception Labs & Collaborations : Collaborating Researcher at Athena Research Centre Partnership with the Cognitive and Computational Musicology Group (Aristotle University) Development of open-source tools like CHAMELEON and GCT_py Grants & Projects : Not explicitly listed in provided texts, but his GitHub activity suggests ongoing research in AI music technologies.

Luis A. Leivaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Machine Learning
• Computational Interaction
• +۱۲ مورد دیگر

Luis A. Leiva is an Assistant Professor in the Department of Computer Science at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the Computational Interaction research group and serves as director of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS). His academic background includes a PhD in Computer Science (with honors), an MAS in Pattern Recognition and Artificial Intelligence, an MSc in Electrical Engineering, and dual BSc degrees in Industrial Design and Industrial Engineering, all from the Universitat Politècnica de València (UPV). His research lies at the intersection of Human-Computer Interaction (HCI) and Machine Learning , with a focus on computational interaction . He investigates methods to enable, explain, and support user interaction through computational models and data-driven techniques. His key areas include implicit interaction —leveraging behavioral signals such as mouse movements and gaze—and synthetic data generation , particularly using kinematic models to simulate human-like gestures. His work has contributed to usability evaluation, user engagement prediction, adaptive interfaces, and stroke gesture modeling. His recent publications span top-tier journals and conferences such as ACM Transactions on Computer-Human Interaction (TOCHI) , IEEE Transactions , CHI , IUI , and SIGIR . The research trends reflect a strong emphasis on multimodal interaction, affective computing, brain-computer interfaces, and deep learning applications in user interface modeling and personalization. Best paper award at IUI'25 Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence (2019) Extraordinary PhD thesis award (2014) Outstanding Reviewer Recognition at CHI, ICMI, MobileHCI, and UIST Quality Teaching Awards finalist at Aalto University (2020) Luis A. Leiva has advised numerous MSc and BSc students at the University of Luxembourg and Aalto University and has secured significant research funding as PI or co-PI for projects such as SYMBIOTIK (EIC), SCRIPTOR (FNR), BANANA (CHIST-ERA), and SAMUSE (Audacity). He is an Associate Editor for the International Journal of Human-Computer Studies and Machine Learning with Applications , and actively serves on the program committees of major HCI and AI conferences. He is also a co-founder and former CTO of Sciling, an SME specializing in machine learning solutions, and has held postdoctoral positions at Aalto University and the PRHLT Research Center (UPV). He leads the Computational Interaction research group and the ILIAS lab, both dedicated to advancing intelligent, adaptive, and user-centered computing systems through interdisciplinary research combining machine learning, cognitive science, and interactive technologies.

Délon Alain Omrowمشاهده پروفایل

مدرس

• Green Criminology
• Environmental Justice
• Eco-Violence
• +۱۲ مورد دیگر

Délon Alain Omrow is a Lecturer at Ontario Tech University and a Professor at Centennial College, where he contributes to academic instruction and research in criminology, environmental justice, and socio-legal studies. He is also a Postdoctoral Fellow at Ontario Tech University, affiliated with the Faculty of Social Science and Humanities. His scholarly work bridges disciplines, focusing on green criminology, eco-violence, and the racialized and gendered dimensions of environmental harm. His research interests include green criminology, environmental justice, transnational environmental crime, racialized ecologies, debt-for-nature swaps, and the intersections of artificial intelligence with climate change and exploitation. He critically examines how environmental policies and discourses impact Indigenous communities and marginalized populations, often through a postcolonial and ecofeminist lens. His work challenges anthropocentric and androcentric frameworks in environmental governance. The most recent publications highlight a consistent trend in analyzing environmental crime through interdisciplinary lenses, combining criminology, philosophy, media studies, and socio-legal theory. His work spans from global environmental governance to cultural expressions like mumble rap as environmental discourse, demonstrating a broad and innovative scholarly approach. Délon has co-authored significant works with Dr. Peter Stoett, including the book Spheres of Transnational Ecoviolence , and has published in high-impact journals such as Nature Sustainability and the Journal of Philosophy and Culture . While no formal awards are listed in the provided text, his publications reflect scholarly recognition and interdisciplinary impact. He has not publicly listed advisees or grant funding in the provided material. His academic journey includes a Ph.D. in Environmental and Socio-Legal Studies from York University, an M.A. in Criminology from the University of Toronto, and a B.A. in Criminology from York University. These educational foundations underpin his critical and interdisciplinary research agenda. He does not appear to lead a formal lab or research team, but his collaborative publications suggest active engagement in scholarly networks.

Katherine M. Kinnairdمشاهده پروفایل

دانشیار

• Machine Learning
• Mathematics
• Cultural Analytics
• +۸ مورد دیگر

Katherine M. Kinnaird is an Associate Professor of Computer Science and Statistical & Data Sciences at Smith College, where she chairs the Department of Computer Science. Her research focuses on developing domain-neutral methodologies for representing high-dimensional sequential data in low-dimensional spaces, with applications in music information retrieval, biology, literature, and health care. Education Ph.D. in Mathematics, Dartmouth College (2014) A.M. in Mathematics, Dartmouth College (2010) A.B. in Mathematics, Wellesley College (2008) Her work spans computational approaches to music structure analysis, text analysis, and data science education. Peer-reviewed publications include ISMIR 2016, ISMIR 2017, ISMIR 2019, and TISMIR 2021 papers, emphasizing multi-scale representations, similarity thresholds, and reproducibility in computational music research. Scientific Awards NSF GK-12 Fellowship (2013-2014) Dartmouth Graduate Teaching Award (2013) Dartmouth Graduate Community Service Award (2011) Project NExT Fellow (MAA Red '15 Cohort) Kinnaird founded the Data Science TRAIn Lab to train undergraduates in STEM research and has co-organized initiatives like the Women in Machine Learning (WiML) Workshop (2013) and Women in Music Information Retrieval (WiMIR, 2018). Her teaching philosophy emphasizes active learning and collaborative environments.

Kamarie Chapmanمشاهده پروفایل

مدرس ارشد

• Playwriting
• Dramaturgy
• Theatre Theory
• +۴ مورد دیگر

Kamarie Chapman is a Senior Lecturer in the Department of Theatre and Dance at Western Washington University's College of Fine and Performing Arts, where she has taught playwriting, theatre theory, dramaturgy, and cinema studies for 15 years. Her work bridges academic instruction with active playwriting and community engagement initiatives. She holds an M.F.A. from The University of New Mexico (2009), with dissertation research focusing on gender and playwriting. Chapman's research centers on amplifying underrepresented voices through innovative performance practices, with particular emphasis on intimacy coordination, gender dynamics, and collaborative new play development. Her creative scholarship addresses mental health, historical narratives, and social justice through diverse theatrical forms including musicals, short plays, and community-based productions. Her recent creative output demonstrates consistent focus on socially engaged theatre, frequently incorporating community collaboration (e.g., roller derby partnerships) and accessibility frameworks. Works explore themes of identity, legacy, and resilience while utilizing experimental structures like movement-based narratives and multi-generational storytelling. Chapman has received national recognition including: Kennedy Center David Mark Cohen Award Kennedy Center Paula Vogel Playwriting Award (Co-winner) ATHE National Playwriting Award Humana Heidman Award Finalist NPA/Seattle Rep/SAG Screenwriting Contest Top Five Finalist As an educator, she mentors emerging playwrights and directs university productions, while serving as Kennedy Center American College Theatre Region VII Vice-Chair for the National Play Program. Her advising extends to community initiatives like the Bellingham Story Hour storytelling collective. Chapman actively contributes to equity in theatre as Co-Artistic Director of Bellingham Story Hour, member of WWU's CFPA Accessibility/Equity/Diversity/Inclusion Committee, and through professional affiliations with the Northwest Playwrights Alliance, The Dramatists Guild, and Artists Trust.

• Teacher Education
• Educational Technology
• Drama in Education
• +۳ مورد دیگر

Prof. Dr. Nihat ÇALIŞKAN serves as a Full Professor in the Department of Educational Sciences at Ahi Evran University, Faculty of Education , Turkey. With a career spanning over three decades, he has focused on drama in education , communication studies , behavioral patterns in teaching , and curriculum evaluation . His work bridges educational technology and pedagogical innovation . Education: PhD in Curriculum and Instruction (2003), Master's in Educational Sciences (1988), BA in German Language and Literature (1984) from Atatürk University and Gazi University. Leadership: Former Department Head (2010–2015), Senate Member (2013–2015), and Erasmus Coordinator (2011–2012). His research emphasizes nonverbal communication and behavioral patterns in educational settings. Recent projects involve AI integration in teaching (2025) and comparative curriculum analysis (2021). Publications span concept cartoons , mnemonics in language learning , and educational drama applications. He has supervised 18 PhD and Master's theses and collaborated extensively with scholars like Engin Karadağ and Okan Kuzu . Books co-authored include Eğitimde Drama: Teorik Temelleri ve Uygulama Örnekleri (Anı Yayıncılık, 2010) and Eğitimsel Süreç ve Beden Dili (Anı Yayıncılık, 2018). His work has been cited 347 times with an h-index of 11 .

• Tangible Interaction
• Music-making
• Digital Art
• +۵ مورد دیگر

Halfdan Hauch Jensen is an academic staff member at the IT University of Copenhagen, affiliated with the Human-Computer Interaction and Design AIR Lab . His research focuses on tangible interaction, digital art, and music-making technologies for non-musicians. He explores how embodied interaction and deep generative models can enhance creative experiences through interdisciplinary design approaches. Active in Human-Computer Interaction and Digital Culture Published in top venues like NIME Conference and CHI Collaborates with researchers like Montesinos Garcia and Løvlie Research trends show emphasis on inclusive design , interactive music systems , and AI-driven creative tools . Current work investigates tangible interfaces for musical expression and generative models for art exploration.

Claudia Schnellböglمشاهده پروفایل

پژوهشگر

• Virtual Reality in Education
• Teacher Training
• Digital Media in Foreign Language Teaching
• +۵ مورد دیگر

Claudia Schnellbögl is a researcher at the Professorship for English Teaching Methodology at Otto-Friedrich University Bamberg, focusing on the integration of digital technologies in foreign language education. She actively contributes to the Bamberg Graduate School of Teacher Education (BaGraTEd) and participates in international research networks like WERA-IRN Extended Education . Education: Secondary school teaching certification in English and Psychology (2017-2023), including Erasmus+ internship in Belgrade B.A. in European Studies (2014-2017), with semester abroad in Warsaw funded by GFPS scholarship Research interests center on virtual reality applications, teacher training, digital media in foreign language teaching, and lesson planning frameworks. Her work explores immersive technologies' impact on global education and sustainable development pedagogy. Recent publications address VR-based teacher development, XR implementation in English teaching, and e-portfolio evaluation models. She has presented at international conferences including CALICO 2025 and Language Education for Sustainable Development 2025. Scientific awards: Recipient of GFPS scholarship for academic exchange in Central/Eastern Europe Professional engagement includes organizing the TEFL lecture series on digital age education and conducting workshops on taboo topics in EFL instruction. She actively participates in academic societies such as DGFF and CALICO .

• Affective Computing
• Wearable Digital Health Technologies
• Artificial Intelligence in Mental Health
• +۵ مورد دیگر

Rosalind W. Picard is a Professor of Media Arts and Sciences and the Grover M. Hermann Professor in Health Sciences and Technology at the Massachusetts Institute of Technology (MIT) . She directs MIT’s Affective Computing research group, pioneering wearable technologies and AI for mental health monitoring, emotion detection, and stress management. Her work bridges computer science, neuroscience, and clinical applications. Research Interests include: Wearable devices for seizure and depression tracking AI-driven behavior change and personalized health interventions Computational empathy and human-robot interaction Ethical frameworks for digital health technologies Recent articles focus on stress prediction via physiological signals, seizure risk modeling, and AI applications in mental health. She has received multiple awards, including a Best Paper Award at Ro-Man 2020, and actively collaborates with institutions like Harvard Medical School and NIH . Her group’s projects span from social robots for autism therapy to real-time suicide risk monitoring systems.