Find Academic Supervisors

• Intercultural Communication
• Applied Linguistics
• Cultural Studies
• +3 more

Rika Hanamitsu is a Professor at the School of Social Sciences, Waseda University, where she teaches courses related to intercultural communication studies. She holds a Doctor of Philosophy degree from Waseda University and is also affiliated with the Center for International Education and the Global Education Center at the university. Education: Doctor of Philosophy from Waseda University Affiliations: Center for International Education, Global Education Center Her research focuses on intercultural communication and applied linguistics, particularly examining how cultural stereotypes, identities, and communication styles are represented in media and literature. She has conducted extensive research on Allen Say's works and their cultural implications, analyzing how they depict multicultural experiences and identity formation. Professor Hanamitsu's educational activities include teaching various courses including 'Seminar III (Intercultural Communication Studies)', 'Exploring Cultures through Film', 'Inter-Cultural Communication', 'Freshman Seminar', and 'Intercultural Communication' in both fall and spring semesters of 2025. Her teaching emphasizes the use of films as educational tools for intercultural understanding and literacy development. She has participated in overseas activities such as attending the Summer Institute of Intercultural Communication at Hope College, University of Michigan in 2002. Her social activities include intercultural communication training using games to develop communication skills, which she has conducted since 2011. International Presentations: 35th IBBY World Congress (2016), Summer Institute of Intercultural Communication (2002) Domestic Conferences: Japan Association for Language Education & Technology, Japan Association of College English Teachers, Japan Society of English Usage and Style Research Projects: Cultural Comparison of Conflict Scenes in Movies and Their Treatment (2005)

• Cognitive/Systems Neuroscience
• Computation and Theory
• Neurobiology of Learning and Memory
• +7 more

Larry Abbott is the William Bloor Professor of Theoretical Neuroscience at Columbia University, with joint appointments in the Department of Physiology and Cellular Biophysics (within Biological Sciences) and the Mortimer B. Zuckerman Mind Brain Behavior Institute. He serves as Co-Director of the Center for Theoretical Neuroscience and is a Senior Fellow at HHMI Janelia Farm. PhD in Physics (1977), Brandeis University His research focuses on computational and mathematical modeling of neurons and neural networks, emphasizing spike-timing-dependent plasticity, sensory encoding in olfaction, and dynamics of internally generated neural activity. He explores how chaotic neural activity is harnessed for motor output and how perception involves dynamic inference and synaptic plasticity. Recent publications highlight applications of recurrent neural networks, hierarchical control mechanisms, and sensory-motor integration. Collaborative work spans institutions like MIT, Hebrew University, and the Allen Institute for Brain Science. Awards include the NIH Director’s Pioneer Award and the Swartz Prize in Theoretical Neuroscience. NIH Director’s Pioneer Award (2004) Swartz Prize (2010) First Annual Prize in Mathematical Neuroscience (2013) Irving Institute Mentor of the Year (2013)

Qiaoning Carol ZhangView profile

Assistant Professor

• Human-AI Collaboration
• Human-Robot Interaction
• Human Factors in Automated Vehicles
• +4 more

Qiaoning Carol Zhang serves as Assistant Professor of Human Systems Engineering within The Polytechnic School at Arizona State University's Ira A. Fulton Schools of Engineering. Her research investigates the critical intersection of human perception, social contexts, and emerging technologies including artificial intelligence, robotics, and automated vehicles, with emphasis on creating intuitive, user-friendly, and inclusive systems. Her academic foundation includes: Ph.D. in Information, University of Michigan (2023) M.S. in Industrial and Operations Engineering, University of Michigan (2018) B.S. in Industrial Engineering, Hunan University (2016) Dr. Zhang's research program centers on understanding how individual differences and social dynamics shape technology interactions. Key focus areas include Human-AI Collaboration , Human-Robot Interaction , Human Factors in Automated Vehicles , and User Experience Design . Her work employs interdisciplinary methodologies to ensure technology adapts to diverse user needs across complex socio-technical environments, particularly in transportation and healthcare robotics. Analysis of her 15 most recent publications (2021-2025) reveals dominant themes in trust dynamics within automated vehicles, with significant attention to explainable AI interfaces. Research consistently examines how voice characteristics (gender, similarity), explanation modalities, and individual differences (age, personality) impact cognitive and affective trust. Recent work extends to healthcare robotics for elderly populations using Kano model analysis to identify critical user requirements. No scientific awards are documented in the provided materials. Dr. Zhang actively recruits Ph.D. candidates and undergraduate/master's researchers with backgrounds in human-computer interaction, data science, and interdisciplinary fields (design, computer science, cognitive science). She emphasizes opportunities in transportation technology, healthcare robotics, AI, and UX research/design, requiring applicants to submit CVs, research statements, and representative work samples. While specific grants aren't detailed, her research scope indicates substantial funding in human factors and emerging technology domains. Her research team focuses on developing empathetic technology through projects examining trust calibration in automated vehicles and healthcare robot design for older adults. Current initiatives include voice interface optimization for diverse user groups and Kano model applications in home healthcare robotics, aiming to bridge technical capabilities with human-centered design principles.

John McDonaldView profile

Professor

• Computer Vision
• Robotics
• Artificial Intelligence
• +4 more

John McDonald is a Professor in the Department of Computer Science at Maynooth University, where he has held a faculty position since 2001. He is affiliated with the Maynooth University Hamilton Institute and the Assisted Living and Learning Institute (ALL). His research focuses on computer vision, robotics, and AI, emphasizing spatial perception and autonomous systems. He has contributed to areas such as visual SLAM, intelligent vehicle systems, and digital holography, with funding from SFI, EU, and other agencies. Currently, he is a Funded Investigator in Lero (SFI Research Centre for Software) and collaborates on the SFI Blended Autonomy Vehicles Spoke. Key research themes include simultaneous localization and mapping (SLAM), robotic navigation, 3D reconstruction, and applications in autonomous driving. His work integrates cutting-edge techniques in computer vision and machine learning to address challenges in spatial intelligence and perception. Publications highlight advancements in dense mapping, fisheye camera systems, and geospatial analysis. He has held visiting roles at MIT’s CSAIL and the National Centre for Geocomputation. His contributions span academic journals, conferences, and technical reports, reflecting a strong emphasis on both theoretical and applied robotics research. John McDonald has supervised numerous research projects and contributed to initiatives like the John and Pat Hume Doctoral Scholarships. His work bridges academia and industry, with a focus on real-world applications of autonomous systems and AI-driven robotics.

Brian C. WilliamsView profile

Professor

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +4 more

Professor Brian C. Williams is a leading academic at the Massachusetts Institute of Technology (MIT) , holding the position of Professor of Aeronautics and Astronautics and directing the Autonomous Systems Laboratory (ASL) . He is also a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Space Systems Laboratory (SSL) . His work focuses on advancing model-based autonomy, enabling robots to operate independently in extreme environments such as space, underwater, and urban traffic. His contact details include email williams@csail.mit.edu and phone 253-2739 . Education : S.B., S.M., and Ph.D. in Computer Science and Electrical Engineering from MIT (1989). Williams' research spans risk-bounded decision making , collaborative robotics , and neural-symbolic learning . He has pioneered systems like Remote Agent, which demonstrated autonomous self-repair in NASA's Deep Space One mission, and Geordi, a risk-aware driver assistant. His work integrates symbolic reasoning, probabilistic methods, and machine learning to create resilient robotic systems for space exploration, manufacturing, and transportation. The most recent publications highlight trends in risk-aware planning , multi-agent robotics , and stochastic control . Key innovations include tube-based trajectory optimization, conflict-directed task allocation, and theory-of-mind guided interventions, reflecting his focus on robustness in uncertain environments. Scientific Awards : NASA Space Act Award (1999), AAAI Fellow, and multiple best paper awards from AAAI, IJCAI, ICAPS, CDC, HRI, and ECAI. Williams leads the Model-Based Embedded and Robotics Systems Group at CSAIL, collaborating with institutions like NASA's Jet Propulsion Laboratory. His projects include ASIST (Artificial Social Intelligence for Teams), RADMAX (Risk and Deadline Aware Planning), and Uhura (risk-aware personal assistants), addressing challenges in health care, manufacturing, and defense applications.

• Climate Change Adaptation in Agriculture
• Land Use Modeling
• Biodiversity Conservation
• +3 more

Thomas Berger is a Professor at the University of Hohenheim , affiliated with the Faculty of Agricultural Sciences and leading the Department of Economics of Land Use . He also contributes to the Computational Science Hub and Hohenheim Tropics initiatives. Focus Areas: Climate change adaptation, land-use modeling, biodiversity-productivity trade-offs, agent-based simulation, and machine learning in agricultural systems. Key Projects: Simulation frameworks for smallholder resilience in Ethiopia, bioeconomic modeling in the Amazon, and hybrid intelligence applications in European agricultural policy. Recent Publications: 2025 study on climate change effects on insecticide reduction in Germany, 2024 work on reconciling biodiversity with productivity via hybrid models, and 2023 methodological contributions to surrogate modeling and seasonal forecast integration. Research Trends: Interdisciplinary integration of climate science, agricultural economics, and computational modeling, with increasing emphasis on AI-assisted decision support systems and sustainability policy validation. Teaching & Outreach: Offers Agricultural Economics seminars and Hohenheim Tropics discussions, requiring advance email registration for office hours.

Geoffrey CohenView profile

Professor

• Social Psychology
• Education
• Belonging and Identity
• +4 more

Geoffrey Cohen is the James G. March Professor of Organizational Studies in Education and Business, and Professor of Psychology at Stanford University's Graduate School of Education. He holds a courtesy appointment in Organizational Behavior at the Graduate School of Business. His research focuses on identity, belonging, and interventions to address social inequities in education, healthcare, and workplace settings. Cohen earned his Ph.D. in Psychology from Stanford University (1998) and a B.A. in Psychology from Cornell University. Education: Ph.D., Stanford University, Psychology (1998) Bachelor of Arts, Cornell University, Psychology Research Interests: Cohen investigates how identity threats and belonging shape behavior, particularly for marginalized groups. His work emphasizes scalable interventions to improve academic outcomes, reduce disciplinary disparities, and foster inclusive environments. He is author of Belonging: The Science of Creating Connection and Bridging Divides (2022), which explores belonging's role in education, healthcare, and societal contexts. Key Contributions: Cohen's interventions, such as social-belonging exercises and self-affirmation techniques, have demonstrated long-term impacts on academic success, mental health, and social cohesion. His studies span disciplines including education, medicine, and public health, with findings published in top journals like Science Advances and Journal of Personality and Social Psychology . Grants & Teaching: Cohen teaches courses on social psychology, intervention design, and belonging. He mentors doctoral students and postdocs investigating identity processes and scalable solutions to social problems. His lab collaborates with schools and healthcare systems to implement evidence-based strategies. Labs/Teams: Cohen leads a research group at Stanford's Graduate School of Education, affiliated with the Institute for Human-Centered Artificial Intelligence (HAI) and the Wu Tsai Human Performance Alliance. His work bridges theory and practice, aiming to create real-world impact through psychologically informed interventions.

Sonya HannaView profile

Lecturer

• Place Branding
• Sustainable Tourism
• Climate Change Impacts
• +2 more

Dr. Sonya Hanna is a Lecturer in Marketing at Bangor Business School, Bangor University. She holds a PhD in Strategic Place Brand Management (2011), an MBA in General Management, and an LLB (Hons) in Law. Her academic roles include Director of Postgraduate Marketing Programmes, Exam Board Chair, and membership in university committees like Athena SWAN. She developed the MA Management for Climate Change programme launching in 2025/2026. Her research explores place branding through interdisciplinary lenses, focusing on: Sustainable tourism and climate change impacts on geographical entities UNESCO World Heritage Sites management Destination image perception and brand personality Digital-era place branding strategies She serves on the management board of Bangor's 'Places of Climate Change' Research Centre and contributes to journal editorial boards. Her publications demonstrate consistent focus on place branding evolution, with recent work emphasizing sustainability and climate communication. Research trends show progression from theoretical brand models (2011-2013) to applied sustainability contexts (2020-2025). Awards & Recognition: Emerald Literati Outstanding Reviewer (2017) Best Paper in Track Award, Academy of Marketing (2012) Top downloaded article in European Management Review (2019-2022) CELT Associate Award (2016) Nominated for Teacher of the Year (2020) Supervision & Projects: Supervised PhD candidate Surbhi Jain to completion. Leads £19,446 BU-IIA project on sustainable tourism development at UNESCO World Heritage Sites. Secured multiple grants including £10,000 for plastic pollution research and £3,000 for destination image studies. Active in professional networks: Fellow of Higher Education Academy, Fellow of Academy of Marketing Science, and Scientific Committee member for International Place Branding Association.

• Translation Studies
• Reception Studies
• Comparative Literature
• +3 more

Bruno Echauri Galván serves as Associate Professor in the Department of Modern Philology at the University of Alcalá (UAH), Spain, teaching core translation courses including Introduction to Translation Theory and English-Spanish Translation across multiple degree programs in Alcalá de Henares and Guadalajara. His research centers on Translation Studies and Reception Theory, with significant contributions to intersemiotic translation (particularly in children's literature), healthcare interpreting, and film adaptation reception. As an active member of the Research Group on Interdisciplinary Reception Studies, he investigates cultural reception, literary reception, and translation through frameworks including cultural mediation, censorship studies, and myth reception. Recent publications (2021-2024) demonstrate consistent innovation in translation pedagogy, including color-based translation assessment tools, service-learning translation projects, and pandemic-era teaching adaptations. His work on collaborative writing projects, mental health communication, and Carver-Lish translation controversies reveals methodological diversity across literary, audiovisual, and healthcare domains. Dr. Echauri Galván has participated in multiple research initiatives including the JOB AND MOVE student network project (2018), Homopoly strategic partnership (2016), and InterMed healthcare mediation project (2011), where he contributed expertise in intercultural communication and translation standards. He maintains active research leadership through the Interdisciplinary Reception Studies group, examining reception phenomena across cultural, literary, musical, and translational contexts while addressing contemporary issues like censorship and myth criticism.

• Mental Health Policy
• Implementation Science
• Health Equity
• +3 more

Briana Last is an Assistant Professor in the Department of Psychology at Stony Brook University, specializing in Clinical Psychology. She holds a PhD from the University of Pennsylvania (2022) and focuses on improving mental health service accessibility and quality through interdisciplinary research. Her research emphasizes three core domains: social determinants of mental health, implementation strategies for service improvement, and structural factors influencing clinician decision-making. She employs mixed methods and community-based participatory approaches, prioritizing marginalized populations affected by systemic inequities. Key interests include behavioral health workforce development, policy analysis, and dismantling barriers to equitable mental healthcare. Her lab, the Mental Healthcare for All Lab, collaborates with governments, agencies, and clinicians to translate research into actionable policies. Notable projects address clinician burnout interventions, public mental health system gaps, and anti-transgender policy impacts. Recent work critiques scientifically unfounded bans on gender-affirming care and evaluates federal loan repayment programs for mental health workforce retention. Publications span topics like AI chatbots in mental health, state policy effects on LGBTQ+ populations, and trauma therapy implementation. Her work highlights how clinician work conditions directly shape patient care quality, advocating for systemic changes to enhance both provider well-being and patient outcomes.

Guy HoffmanView profile

Associate Professor

• Human-Robot Interaction
• Embodied Cognition
• Social Robotics
• +3 more

Guy Hoffman is Associate Professor and Associate Director of Undergraduate Affairs at Cornell University's Sibley School of Mechanical and Aerospace Engineering. He holds faculty appointments in Aerospace Engineering, Computer Science, Information Science, and Mechanical Engineering. Hoffman earned his Ph.D. in Human-Robot Interaction from MIT and M.Sc. in Computer Science from Tel Aviv University. His research explores computational, design, and social aspects of Human-Robot Interaction (HRI), with focus areas including: Embodied cognition for social robots Anticipation and timing in HRI Nonverbal behavior in human-robot collaboration Robotics for performing arts Non-anthropomorphic robot design Publications demonstrate interdisciplinary work spanning social robotics, adaptive interfaces, inclusive design, and AI education. Recent articles explore shadow-based interaction privacy, emotional conveyance through shape-changing interfaces, and cultural aspects of robot morphology. Major recognitions include: Andrew P. Sage Best Transactions Paper Award (IEEE, 2020) Dennis G. Shepherd Teaching Award (Cornell, 2019) Best Paper Award, IEEE/ACM HRI Conference (2015) His research group develops robotic platforms like Blossom and investigates human-robot collaboration in workspaces, inclusive play for children with mixed abilities, and open-source educational tools for AI literacy.

Helle HochscheidView profile

Lecturer

• Greek Archaeology
• Ancient History
• Cultural Heritage
• +6 more

Helle Hochscheid is a University Lecturer in antiquity and heritage at University College Roosevelt, a Liberal Arts & Sciences college within Utrecht University in Middelburg. She holds an affiliation with the Humanities Research Institute for History and Art History and the Department of Ancient History and Classical Civilization. Her academic roles include coordinating the Archaeology in the Classroom project and serving on the Scientific Advisory Board of the Netherlands Institute in Athens, the Editorial Board of PHAROS: Journal of the Netherlands Institute at Athens , and the Advisory Board of Theran Press. Her research expertise spans Greek archaeology, ancient history, cultural heritage, and women’s history, with a focus on craft production (particularly sculpture and musical instruments like auloi) in ancient Greek societies. She investigates social contexts of craftsmanship, including the roles of non-elite groups and women in Athenian artistic networks. Key themes include gender diversity, migration’s societal impact, and the intersection of craft labor with early knowledge economies. Hochscheid regularly collaborates with undergraduate students, co-editing volumes such as The World on Walcheren (2024). She teaches courses including Academic Internship , Greek Art & Archaeology , and Making Society in Archaeology , emphasizing interdisciplinary education and community-engaged learning. Her work bridges academic research and public heritage through projects like Archaeology in the Classroom , which introduces transferable skills via archaeology to primary school children. Her professional contributions include organizing sessions at the EAA Annual Conference (2024) and presenting on topics like women’s work in ancient Athens. She is a member of the Engendering Ancient Economies Network (EAEN) and the TEXNH research collaboration, exploring economic and social dimensions of ancient Mediterranean crafts.

Devyani SharmaView profile

Professor

• Sociolinguistics
• Language Variation
• Diaspora Studies
• +4 more

Professor Devyani Sharma is a Professor of Linguistics at Queen Mary University of London, affiliated with the Department of Linguistics within the School of Languages, Linguistics and Film. She holds a PhD from Stanford University. Her research focuses on sociolinguistics, style variation, migration, bilingualism, new varieties of English, syntax, typology, and accent bias. She has conducted extensive studies on diasporic communities, particularly Punjabi Londoners, examining dialect development and social change through projects like 'Generations of London English' and 'Accent Bias in Britain.' Her work integrates quantitative and qualitative methods, including sociolinguistic interviews, acoustic analysis, and discourse analysis. Notable contributions include studies on the role of social networks in language variation, the concept of 'lectal focusing,' and the impact of accent biases in professional contexts. She has authored/co-authored books such as From Deficit to Dialect: The Evolution of English in India and Singapore (2023) and edited volumes including English in the Indian Diaspora (2014). Professor Sharma collaborates on public engagement initiatives like Teach Real English! and Multilingual Capital , aiming to improve linguistic education and address accent bias in society. Her research has been funded by grants from the ESRC and other UK organizations, totaling over £412,000 for major projects. She serves as Associate Editor for the Journal of Sociolinguistics and contributes to international conferences and workshops.

Freda ShiView profile

Assistant Professor

• Computational Linguistics
• Natural Language Processing
• Multilingualism
• +4 more

Freda Shi is an Assistant Professor at the David R. Cheriton School of Computer Science, University of Waterloo, and a Faculty Member at the Vector Institute. She holds a Canada CIFAR AI Chair. Her research focuses on computational linguistics, natural language processing (NLP), and grounded language learning, with emphasis on multilingualism and spatial reasoning in vision-language systems. She earned her Ph.D. in Computer Science from the Toyota Technological Institute at Chicago (2024), advised by Karen Livescu and Kevin Gimpel, supported by a Google Ph.D. Fellowship. Her undergraduate degree is from Peking University (2018), with a minor in Sociology. Her academic career includes affiliations with the CompLING Lab at Waterloo and contributions to major conferences like ACL and NAACL. She has organized tutorials on NLP grounding and is actively involved in research on model robustness and cognitive insights. Awards include the Google Ph.D. Fellowship and Best Paper Nominations at ACL 2024 and EMNLP 2021, alongside her Thesis of Distinction. She teaches courses such as CS 784 (Computational Linguistics) and CS 486/686 (Artificial Intelligence), emphasizing both theoretical and applied aspects of NLP. Research trends in her articles highlight advancements in vision-language spatial reasoning, multilingualism, and model interpretability. Her work bridges cognitive science and computational methods, exploring how human language mechanisms inform the design of more trustworthy AI systems. Scientific Awards: Google Ph.D. Fellowship Best Paper Nominee (ACL 2024) Best Paper Nominee (EMNLP 2021) Thesis of Distinction (2024) Advising and Grants: As an advisor, she encourages prospective students to review her guidelines. Her grants include support from the Canada CIFAR AI Chair program and the Vector Institute. She collaborates in labs such as CompLING at Waterloo and co-organizes events at NAACL and ICLR. Labs/Teams: She leads the CompLING Lab at the University of Waterloo, affiliated with the Vector Institute. Her work integrates interdisciplinary teams focusing on grounded learning and multilingual NLP challenges.

Mahadev SatyanarayananView profile

Professor

• Mobile and Pervasive Computing
• Distributed Systems
• Security and Privacy
• +2 more

Mahadev Satyanarayanan is the Jaime Carbonell University Professor of Computer Science at Carnegie Mellon University. His multi-decade research focuses on performance, scalability, availability, and trust in distributed systems spanning cloud to mobile edge computing. He pioneered foundational concepts in mobile computing and Edge Computing through his seminal work on VM-based cloudlets. His current research explores cloudlet-based Edge Computing for latency-sensitive applications, wearable cognitive assistance systems integrating augmented reality, and edge-based machine learning frameworks for efficient training data discovery. He collaborates with Dan Siewiorek, Martial Hebert, and Bobby Klatzky on transformative applications. Dr. Satyanarayanan received his PhD from Carnegie Mellon University after completing Bachelor's and Master's degrees at the Indian Institute of Technology, Madras. His honors include ACM and IEEE Fellowships recognizing his contributions to distributed systems and mobile computing. ACM Fellow IEEE Fellow