Find Academic Supervisors

• Time Series Forecasting
• Decision Optimization
• Machine Learning
• +5 more

Mahdi Abolghasemi is a Senior Lecturer in Statistical Data Science at Queensland University of Technology (QUT), within the School of Mathematical Sciences, Faculty of Science. He previously held academic positions at Monash University and The University of Queensland. He serves on the editorial board of the International Journal of Forecasting and reviews for journals like Scientific Reports , International Journal of Production Research , and Applied Energy . Education: PhD in Statistics (University of Newcastle). Research Interests: Time series forecasting, decision optimization, and machine learning applications in retail and energy sectors. His work focuses on hierarchical structures, systematic events, and volatility in time series data, with funded projects exceeding $900k. Notable areas include demand forecasting in supply chains, renewable energy forecasting, and decision-focused predictive analytics. His research has been recognized by awards from the International Institute of Forecasters, Australian Mathematical Society, and IEEE Computational Intelligence Society. Awards: International Institute of Forecasters Award Australian Mathematical Society Award IEEE Computational Intelligence Society Award Australian Mathematical Sciences Institute Recognition Teaching: A Fellow of the Higher Education Academy (FHEA), he emphasizes bridging theory with industry-relevant projects. Courses taught include data science, business analytics, time series forecasting, and statistical machine learning. Received the Faculty of Science Highly Regarded Early Career Teaching Excellence Award at The University of Queensland. Grants & Funding: Over $900k from national/international organizations supporting his research in forecasting and optimization. Supervision: Currently accepting research students in areas such as hierarchical forecasting, Bayesian-focused learning, inventory optimization, and energy supply chain decision-making. Research Centres: Energy Transition Centre and Centre for Data Science at QUT. Collaborations with industry partners like Sanitarium, Coles, Woolworths, Australian Energy Market Operator (AEMO), and Australian Renewable Energy Agency (ARENA).

• Artificial Intelligence in Healthcare
• Health Informatics
• Digital Health
• +4 more

Professor Sandeep Reddy is a leading academic in healthcare management and digital health at Queensland University of Technology (QUT), where he heads disciplines in Healthcare Management, Health Information Management, and Health, Safety, and Environment. He co-leads the 'Health, Human Biology and MedTech' theme at QUT's Centre for Data Science. With a PhD in Healthcare Management and a medical degree, Reddy holds multiple professional fellowships, including the Australasian Institute of Digital Health and the UK Higher Education Academy. Roles: Professor, Academic Leader, Researcher, Editor Affiliations: QUT, WHO Digital Health Roster, European Academy of Translational Medicine Professionals His research focuses on AI integration in healthcare delivery, governance frameworks, and translational methodologies. Key areas include AI in chronic disease management, medical imaging, and facial recognition technology. Reddy has authored over 80 publications, including a 2024 textbook on translational AI applications. Reddy's work spans global health policy, having advised the WHO and participated in international panels. He teaches courses on health informatics, implementation science, and digital health, with over 20 years of academic and industry experience. Scientific awards and fellowships reflect his expertise: Fellow of AIDH, ACHSM, and Senior Fellow of the UK Higher Education Academy. His editorial roles include PLOS ONE, Computational and Structural Biotechnology Journal, and Frontiers in AI. Current research supervision focuses on AI in medical education, healthcare access, and explainability in AI systems. He advocates for equitable digital health solutions, addressing the rural-urban digital divide through empirical studies.

• Digital Humanities
• Text Mining
• Artificial Intelligence in Education
• +3 more

Dr. Ahmed Taiye Mohammed holds a Postdoctoral research fellowship at Linnaeus University's Department of Cultural Sciences, Faculty of Arts and Humanities in Växjö, Sweden. He earned his Master's and PhD from Northern University of Malaysia (UUM) with a thesis on text anomaly detection. His research focuses on Digital Humanities (DH), AI applications in education, and computational thinking for non-engineers. He teaches courses like Digital Humanities Research Methods, Programming for DH, and AI in Healthcare. Key research projects include InKuiS (innovative cultural entrepreneurship) and AI for ISP (supporting academic writing via ChatGPT). He collaborates with Linnaeus University Centre for Data Intensive Sciences (DISA) on e-health initiatives. Recent publications explore AI in K-12 education, automated library classification, and text mining for archaeology. His work spans AI ethics, DH methodologies, and interdisciplinary applications of computational tools. Teaching responsibilities include over 10 courses at undergraduate/master's levels, emphasizing practical skills in DH technologies. Active in developing AI-based educational tools like CHAT4ISP-AI and exploring generative AI for academic writing support. Research also involves social media ecosystems, data mining practices, and satellite image classification using SVM techniques.

Olga SutskovaView profile

Research Fellow

• Social Virtual Reality
• Cognitive Neuroscience
• Educational Technology
• +4 more

Olga Sutskova is a Research Fellow at University College London (UCL), affiliated with the Centre for Brain and Cognitive Development at Birkbeck, University of London. Her work focuses on the cognitive and behavioral impacts of interactive environments, including virtual reality (VR) and AI-mediated social interactions. Supervised by Professors Tim J Smith (Birkbeck) and Atsushi Senju (Hamamatsu University), her research explores how beliefs about virtual companions and self-disclosure influence cognition in remote and immersive settings, with applications to wellbeing-focused technologies. Education: PhD in Cognitive Development (2018–2022), Birkbeck MSc Educational Neuroscience (Distinction), Birkbeck & UCL Institute of Education (2017–2018) BSc Psychology (First Class), Birkbeck College (2013–2017) Research interests span neurotypical adult cognition, social anxiety, and autistic traits in virtual environments. Her work addresses 'Zoom Fatigue' and designs inclusive technologies to enhance social interaction quality. Recent studies investigate neural mechanisms underlying social presence in VR and remote education. Awards: 2022 JSPS Postdoctoral Fellowship 2021 Wellcome ISSF Dissemination Grant 2017 UBEL-DTP Doctoral Studentship 2017 Elaine Gladstone Prize (BSc Excellence) Grants include funding for clinical population studies expanding her PhD work. She has presented at venues like The Royal Society and co-organized the CBCD Seminar Series (2020–2021).

Allison JingView profile

Lecturer

• Virtual and Mixed Reality
• Human-Computer Interaction
• Digital Health
• +3 more

Allison Jing is a Lecturer (Assistant Professor) at RMIT University’s School of Computing Technologies and an adjunct Researcher at the Empathic Computing Lab at the University of South Australia. Her research focuses on Mixed Reality (MR) technologies to enhance human abilities through multimodal interaction, including gaze-based cues, biosignals, and AI-driven empathy. She holds a PhD in Information Technology from the University of South Australia (2023) and an MSc in Information Technology from the University of St Andrews (2017). Dr. Jing’s academic roles include coordinating Mixed Reality and Programming courses at RMIT. She has extensive industry experience, working at Meta Reality Labs, Microsoft, Amazon, and startups, which informs her user-driven research approaches. Her work spans collaborative VR/AR systems, empathic computing, and digital health applications. Key research interests include cross-reality collaboration, empathetic AI, and physiological signal integration. She collaborates with global institutions like CSIRO Data61 and Meta RLR. Her awards include runner-up in the XR Workshop (2023) and finalist in Deloitte Cyber Capture the Flag (2018). Teaching and supervision: Coordinates COSC2476/77 (Mixed Reality) and COSC2801 (Programming Bootcamp Java). Currently supervises PhD students and mentors research interns from Oxford, NYU, and other universities. Serves on program committees for CHI, MobileHCI, and ISMAR. Labs/Teams: Empathic Computing Lab, Australian Research Centre for Interactive and Virtual Environments (IVE), and ARIVE network. Active in industry partnerships for collaborative projects in MR and AI.

• Cognitive Neuroscience
• Machine Learning
• Neuroimaging
• +7 more

Karim Jerbi is a Full Professor at the University of Montreal's Department of Psychology, within the Faculty of Arts and Sciences. He holds the Canada Research Chair (CRC) in Systems Neuroscience and Cognitive Neuroimaging (Junior 2) and leads interdisciplinary research programs. His affiliations include the CRM — Centre de recherches mathématiques, CERNEC — Centre de recherche en neuropsychologie et cognition, CRIUGM — Centre de recherche de l'Institut universitaire de gériatrie de Montréal, PhysNum — Laboratoire de physique numérique, BRAMS — Laboratoire international de recherche sur le Cerveau, la Musique et le Son, and CIRCA — Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage. These affiliations emphasize his collaborative and interdisciplinary approach to neuroscience and neuroimaging. His research investigates cognitive functions and dysfunctions using advanced signal processing and machine learning applied to multimodal brain data. Key interests include neural oscillations, brain connectivity, and the interplay between cognitive processes and neuroimaging techniques like MEG and EEG. He explores topics such as sleep dynamics, decision-making, mindfulness meditation effects, and neurodegenerative disorders, bridging computational models with clinical applications. Jerbi's recent work highlights trends in AI-driven neuroimaging tools (e.g., MEEGNet, NeuroPycon), criticality in brain networks, and the impact of consciousness states on neural activity. His grants include leading the UNIQUE initiative (2019–2024) and co-directing projects like 'Partnership for Abundant Intelligences' (2024–2029), funded by organizations like FRQNT and SSHRC. These efforts aim to integrate AI, mathematics, and clinical research for transformative insights into brain function. Scientific Awards: Canada Research Chair (CRC) in Systems Neuroscience and Cognitive Neuroimaging (Junior 2). In advising, he has guided students in topics like AI-based biomarker identification, hypnosis dynamics, and motor intention decoding. His labs and teams, such as the CRM and CERNEC, focus on mathematical foundations of neural systems and neuropsychological cognition, respectively. Collaborations span diverse fields, including gériatrie, music cognition, and computational intelligence, reflecting his commitment to cross-disciplinary innovation.

• Healthcare Technology
• Human-Computer Interaction (HCI)
• Qualitative Research Methodologies
• +3 more

Dr. Sarah Foley is a Lecturer in Applied Psychology and Human-Computer Interaction at the School of Applied Psychology, University College Cork (UCC). Her research focuses on healthcare technology, qualitative methodologies, and dementia care. She completed her PhD in 2019, examining design and technology in dementia care, and currently leads projects on women’s health and pluralistic qualitative research. She is a member of the Irish Network for Pluralism in Qualitative Research (INPQR) and a Principal Investigator (PI) in the Lero Centre for Software Engineering. Education: PhD in Applied Psychology (2019), University College Cork. Research interests include HCI in healthcare, qualitative mixed-methods approaches, and technology design for vulnerable populations. Notable areas are intergenerational engagement in dementia care, maternal healthcare for autistic adults, and the role of social media in mental health and fitness. Her work emphasizes ethical research practices and participatory design in sensitive settings. Recent articles explore themes like online support networks for pregnancy loss, nature-based mental health interventions, and challenges in adapting mental health care for autistic individuals. Her studies highlight digital health innovations and systemic healthcare inequities. Scientific Awards: Lero Impact Award 2024 NUI Early Career Award 2020 Teaching responsibilities include modules on Research Methods, User-Experience Design, and Social Computing. She coordinates the User-Experience Design undergraduate module and contributes to postgraduate courses on Designing in Workplaces. Labs/Teams: Active in the INPQR and Lero Centre for Software Engineering, collaborating on projects that bridge technology and healthcare ethics. Current initiatives include participatory design frameworks for dementia care and digital tools for cervical self-sampling.

• Augmented Reality (AR)
• Mixed Reality (MR)
• Medical Visualization
• +3 more

Jo Zucco is a Program Director at the University of South Australia's UniSA STEM faculty, affiliated with the School of Information Technology and Mathematical Sciences and the Australian Research Centre for Interactive and Virtual Environments. Their research focuses on augmented reality (AR), mixed reality (MR), and wearable computing technologies, with applications in medical visualization, educational tools, and haptic interaction. Zucco has contributed to over 15 peer-reviewed publications since 1998, including works on X-ray vision in immersive environments, haptic training devices like the Smart Pipette, and collaborative spatial data analysis. Key research interests include improving user experience in AR/MR systems, developing medical visualization techniques for diagnostic support, and enhancing educational technologies for STEM fields. They have collaborated with defense organizations and health sciences departments, receiving grants from the Australian Government and the Defence Science and Technology Group. Zucco's work emphasizes practical applications of cutting-edge technologies in real-world scenarios, such as command and control decision-making, laboratory simulations, and student orientation programs. As a Research Degree Supervisor, Zucco guides students in interdisciplinary projects combining computer science, engineering, and health informatics. Their contributions to the Wearable Computer Laboratory and the Industrial AI Research Centre highlight a commitment to advancing interactive technologies for societal benefit.

Paul CairnsView profile

Professor

• Human-Computer Interaction
• Digital Games
• User Experience Measurement
• +4 more

Prof Paul Cairns is a Professor of Human-Computer Interaction (HCI) at the University of York's Department of Computer Science. He holds roles including Director of the EPSRC Centre for Doctoral Training in Intelligent Games and Games Intelligence (IGGI) and PGT HCIT Programme Lead. His research focuses on HCI research methods, player experience in digital games, and accessibility. He has authored influential books like Research Methods for HCI and Doing Better Statistics in HCI , and supervised 17 PhD students. Education: DPhil in Mathematics (Oxford, 1995), BA Mathematics (Oxford, 1992). Career highlights include leading the CAD-GAME project (EPSRC & InnovateUK) and co-editing seminal HCI research texts. Key projects include Social Barriers to People with Disabilities in Online Games (2017-2018) and EPSRC CDT in Intelligent Games (2014-2022). Awards include an Honourable Mention at ACM CHI 2012 and Best Paper awards at BCS HCI conferences. Prof Cairns advocates for rigorous research methods and has pioneered work on game accessibility, player motivation measurement, and adaptive gameplay systems.

Eduardo Benitez SandovalView profile

Researcher

• Social Robotics
• Human-Robot Interaction (HRI)
• Robot Ethics
• +7 more

Dr. Eduardo Benitez Sandoval is a social robotics researcher at UNSW Sydney, affiliated with the School of Arts, Design & Architecture. His work focuses on reciprocity in Human-Robot Interaction (HRI), robots in education and healthcare, and ethical implications of social robotics. He holds a PhD in Human Interface Technology from the University of Canterbury (2016) and a Master's in Industrial Design from UNAM (2012). He has received notable awards including the 1st Place Video HRI Award (2016) and recognition as one of Mexico's 30 Promising Young Mexicans (2015). His research explores decision-making in HRI, robot design principles, and the societal impact of AI. He emphasizes 'robot ergonomics' and 'human-centric design' in creating socially meaningful machines. Current supervision includes two master’s students at UNSW's School of Computer Science and availability to mentor PhD candidates in HRI, social robotics, and interaction design. Teaching includes 'Research Foundations' and 'Human Centred Design' courses. Key research themes include addiction to robots, conflict mediation via robots, and cultural preservation through robotic agents (e.g., Robot Maori Haka project). He advocates for robots 'in the wild' testing, combining quantitative and qualitative HRI evaluation. Collaboration opportunities exist in multidisciplinary projects blending robotics, psychology, and design. His work has led to over 50 publications including designs/architecture works like the 3D-printed social robot prototype (2020). Awards reflect both academic excellence (e.g., Alfonso Caso Medal) and innovation (e.g., Startup Weekend recognition). He actively engages in public discourse via media appearances and maintains professional profiles on LinkedIn, ResearchGate, and Google Scholar.

Miriam ButtView profile

Professor

• Morphology
• Lexical semantics
• Digital humanities
• +3 more

Miriam Butt is a Professor (W3) for General and Computational Linguistics at the Department of Linguistics, University of Konstanz since 2019. Previously, she held a Professor (C3) position at the same department from 2003 to 2019. Earlier roles include a Lecturer at the Centre for Computational Linguistics, UMIST (2002-2003), and Research Scientist positions at the University of Konstanz, Universität Stuttgart, and Universität Tübingen. Education: PhD and MA in Linguistics from Stanford University (1988-1993), BA in Language Studies and Computer Science from Wellesley College (1984-1987). Her research focuses span Morphology, Lexical Semantics, Digital Humanities, Historical Linguistics, Computational Linguistics, and Syntax. She has contributed to projects such as SFB471 (Variation and Change in the Lexicon), ParGram (grammar development for German), and Verbmobil (tense analysis in German-English translation). She has served on advisory boards and consulted for projects including NSF's Hindi/Urdu treebank initiative and CRULP's Urdu machine translation system.

• Linguistics
• Cognitive Linguistics
• Corpus Linguistics
• +4 more

Jane Klavan is an Associate Professor of English Language at the University of Tartu's Faculty of Arts and Humanities and Head of the Centre for Learning and Teaching (0.8 FTE). She holds a PhD in General Linguistics from the University of Tartu (2012) and has over 15 years of academic experience in linguistics, teaching, and research administration. Her primary research focuses on corpus linguistics, cognitive linguistics, and morphosyntactic alternations in Estonian, with a focus on case systems and construction grammar. Education: PhD in General Linguistics (2012), MA in English Philology (2008), BA in English Philology (2005), all from University of Tartu Her research explores interdisciplinary approaches to language analysis, including experimental methods and digital humanities. She has published extensively on Estonian syntax, corpus-based studies, and cognitive linguistics principles. Klavan also leads national and institutional initiatives in digital humanities and language education, serving on editorial boards of journals like Cognitive Linguistics and Applied Linguistics . Her awards include the University of Tartu Teaching Award (2022) and being named among Estonia's Top 10 Lecturers (2021). She has managed research projects totaling over €200k, focusing on language modeling and educational innovation.

• Educational Technologies
• Communication and Educational Technologies
• Teacher Training
• +7 more

Ana Maria Bastos is an Assistant Professor in the Department of Education and Psychology at the School of Humanities and Social Sciences, University of Trás-os-Montes and Alto Douro (UTAD), Portugal. She is also affiliated with the CIIE (Centre for Research and Innovation in Educational Development) at the Faculty of Psychology and Educational Sciences, University of Porto. Her work bridges academic research and practical educational innovation. PhD in Educational Sciences, UTAD Master's in Education/Educational Technologies, University of Minho Her research focuses on Educational Technologies , Teacher Training for Basic Education , and Pedagogical Project Development . She explores how digital tools like blogs, Web 2.0 platforms, and programming environments (e.g., Scratch) enhance teaching and learning. Her work emphasizes formative assessment, supervised teaching practice, and curriculum articulation between pre-school and primary education. Her recent publications (2020–2023) reflect a strong interest in distance education during the pandemic , social media’s role in student behavior , and the integration of digital platforms in language and science education . The articles show a consistent focus on practical implementation, teacher training, and student engagement in diverse educational contexts. She is a peer reviewer for several academic journals, including the Portuguese Journal of Education and the Journal of AISTI, and is a member of the research unit Professor Faz a Diferença (Registration no. 3348/2013). She has contributed to national and international projects such as the ERASMUS+ TeachersMOD project, aimed at modernizing teacher training in Kurdistan, and the Step by Step with Science initiative funded by Ciência Viva. An active researcher, she has published extensively in journals, books, and conferences, with a career spanning over two decades. Her work demonstrates a sustained commitment to improving educational quality through technology integration and reflective teaching practices.

Hooman SamaniView profile

Associate Professor

• Creative Robotics
• AI-Driven Social Service Robotics
• Cognitive Robotics
• +3 more

Hooman Samani is a Reader and Course Leader of Creative Robotics at the University of the Arts London's Creative Computing Institute, and a Visiting Lecturer at the University of Hertfordshire. He holds a PhD in Robotics from the National University of Singapore and is a Fellow of the Higher Education Academy (FHEA). His research spans AI-driven social robotics, creative robotics, and robotics for healthcare, with notable contributions to ethical AI, human-robot interaction, and pandemic response systems. He has led projects at institutions like Philips, Fraunhofer, and the Keio-NUS CUTE Centre. Education: PhD in Robotics (National University of Singapore), prior roles at National Taipei University (founding AIART Lab), and industry experience at Posco and Philips. Research Interests: Focus on interdisciplinary applications of robotics, including cognitive robotics, cultural robotics, and AI in mental health. He advocates for ethical design, emphasizing trustworthiness and societal impact. Publications: Over 98 articles, books like Creative Robotics and Robotics for Pandemics . Recent trends include memory-driven AI, agentic systems, and ethical multi-robot collaboration. Awards: FHEA, multiple RoboCup competition wins. Active in media, featured on BBC, CNN, and Discovery Channel. Labs/Teams: Founded AIART Lab, involved in collaborative projects with Keio-NUS CUTE Centre. Current focus on creative robotics in theater and education.

Tobias KaufmannView profile

Professor

• Neurotechnology
• Computational Psychiatry
• Genetics
• +3 more

Tobias Kaufmann is a Full Professor of Neurotechnology and Computational Psychiatry at the University of Tübingen, Germany, and a Senior Researcher at the Norwegian Centre for Mental Disorders Research (NORMENT) at the University of Oslo, Norway. His research focuses on investigating the pathophysiological changes in brain structure and function, particularly exploring their genetic underpinnings through computational analysis of large-scale neuroimaging and genetic datasets. He has contributed to understanding the genetic architecture of brain regions like the thalamus and brainstem, their roles in psychiatric and neurological disorders, and the development of neuroimaging tools such as ARTiiFACT for artifact processing. His work bridges neurotechnology, computational methods, and clinical psychiatry to advance precision medicine approaches in mental health. His research interests include neuroimaging genetics, brain aging, and the application of machine learning to neuroimaging data. He has developed software tools for analyzing brain connectivity and functional networks, with a focus on schizophrenia, Alzheimer’s disease, and other psychiatric disorders. Kaufmann is also involved in collaborative initiatives like the ECNP NeuroImaging Network to promote open science and data-sharing in mental health research. His lab at NORMENT focuses on integrating multimodal data (e.g., MRI, genetics) to study brain disorders, while his role at the University of Tübingen emphasizes advancing neurotechnological methods. He has no listed awards but has published extensively in top journals like Nature Neuroscience and NeuroImage, with a strong emphasis on computational psychiatry and neuroimaging methodologies.