جست‌وجوی استاد و پژوهشگر

Andrew Cunninghamمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Immersive Analytics
• Narrative Visualization
• +۵ مورد دیگر

Dr. Andrew Cunningham is a Senior Lecturer at the University of South Australia's UniSA STEM division and co-director of the Wearable Computer Lab within the Australian Research Centre for Interactive and Virtual Environments (IVE). His research focuses on human-computer interaction, immersive analytics, and data visualization through virtual/augmented reality technologies. Current Research Degree Coordinator at UniSA (2025) Led commercialization of LogAR and CADET tools Recipient of AIIA iAward and multiple CHI accolades His work bridges theoretical and applied research with projects involving: Immersive analytics for metabolic pathway visualization (with CSIRO) ImAxes - a VR system for multivariate data exploration VR-based training tools for mill safety (MillSkillsVR) and drill rigs (RoXplorer) Deceptive design patterns in digital interfaces Parametric architectural design interfaces in VR Recent publications demonstrate expertise in: Encoding data into physical properties (roughness, spatial features) Collaborative VR data analysis frameworks Immersive storytelling techniques Human factors in AR/VR environments Scientific awards include: 2025 CHI Best Paper Honourable Mention 2024 MinEx CRC Technology Award 2024 CHI Best Paper Honourable Mention South Australian AIIA iAward (2016) Dr. Cunningham supervises PhD students and contributes to: Game design course instruction ARC grants DP220101595 Open-source toolkit development (CADET)

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Benjamin Volmer is a Lecturer at the UniSA STEM division of the University of South Australia. His research focuses on cognitive load reduction in augmented reality (AR) and virtual reality (VR) environments through predictive cue design, human-computer interaction (HCI), and neural response analysis using electroencephalography (EEG). Current Lecturer at University of South Australia Research Degree Supervisor Member of Wearable Computer Lab Collaborator with international institutions Research Trends: Recent publications analyze incongruent information processing in AR systems, multi-level precueing for procedural tasks, and brain-computer interface (BCI) applications in immersive environments. His work demonstrates how EEG metrics and ERP components (e.g., N400, P600) can optimize AR/VR interfaces. Grants: Supported by Australian Research Council (ARC DP180100755) and TU Graz Open Access Publishing Fund. Collaborative efforts span institutions including Columbia University, University of Tokyo, and Keio University. Labs & Collaborations: Affiliated with the Wearable Computer Lab and Australian Research Centre for Interactive and Virtual Environments at the University of South Australia. International partnerships include Graz University of Technology, Columbia University, and Keio University.

Hussein Abbassمشاهده پروفایل

استاد

• Artificial Intelligence
• Autonomous Systems
• Swarm Intelligence
• +۱۴ مورد دیگر

Professor Hussein Abbass is a distinguished academic at the University of New South Wales (UNSW) Canberra, holding a professorship in the School of Engineering and Information Technology. As an IEEE Fellow and Founding Editor-in-Chief of IEEE Transactions on Artificial Intelligence, he has established himself as a leading figure in the fields of artificial intelligence, swarm systems, and trusted autonomy. His research spans theoretical foundations and practical applications, with significant contributions to swarm intelligence, human-swarm teaming, and quantum-enabled swarm systems. Professor Abbass's educational background is not explicitly detailed in the provided text, but his extensive publication record and leadership roles suggest a strong academic foundation. His research interests encompass Artificial Intelligence, Autonomous Systems, Swarm Intelligence, Swarm Robotics, Human-Swarm Teaming, Quantum-Enabled Swarm Systems, Brain Computer Interface, Human-Machine Symbiosis, Trusted Autonomous Systems, Machine Trust, Biometrics, and the social implications of autonomous systems. His recent publications demonstrate a clear trend toward advancing swarm systems, with particular focus on human-swarm teaming, machine teaching, and trustworthy AI. The research spans multiple disciplines including computer science, robotics, neuroscience, and social sciences, reflecting the interdisciplinary nature of his work. His publications in top journals and conferences indicate significant impact in the AI community. Among his notable achievements is being named an IEEE Fellow, a prestigious recognition for his contributions to the field. His editorial leadership as Founding Editor-in-Chief of IEEE Transactions on Artificial Intelligence further demonstrates his standing in the academic community. Professor Abbass actively supervises research students and collaborates with numerous colleagues at UNSW Canberra, including Dr. Sreenatha Anavatti, Prof. Michael Barlow, Prof. Matthew Garratt, A/Prof. Chris Lokan, Dr. Robert McKay, Prof. Kathryn Kasmarik, Prof. Ruhul Sarker, Dr. Hemant Singh, Dr. Saber ElSayed, Dr. Essam Debie, Dr. Jiangjun Tang, Dr. Heba El-Fiqi, and Dr. Aya Hussein. His work has attracted significant research funding for projects related to swarm systems and trusted autonomy. His research group focuses on developing advanced swarm systems with applications in defense, aerospace, and transport sectors. The team investigates human-swarm interaction, machine education, and AI assurance, addressing both technical challenges and societal implications of autonomous systems.

Hamid Karimi-Rouzbahaniمشاهده پروفایل

پژوهشگر ارشد

• Computational Neuroscience
• Cognitive Neuroscience
• Clinical Neuroscience
• +۱۹ مورد دیگر

Dr. Hamid Karimi-Rouzbahani is a Research Fellow and ARC DECRA Fellow at the Queensland Brain Institute, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland. He previously held a Newton Fellowship at the MRC Cognition and Brain Sciences Unit, University of Cambridge, highlighting his international research experience. His research lies at the intersection of Computational, Cognitive, and Clinical Neuroscience , integrating neural signal processing (EEG, MEG, fMRI), machine learning (deep neural networks), and mathematical modelling . He develops advanced methods for multidimensional connectivity and decoding analysis to understand information coding and transfer in the brain. His cognitive research focuses on visual perception, attention, and the multiple-demand system , while his clinical work aims to quantify and localize brain areas involved in epilepsy . The analysis of his recent publications reveals a strong trend in developing and applying computational models to both fundamental cognitive processes and clinical applications, particularly in epilepsy. His work consistently bridges methodological innovation with empirical neuroscience, using multimodal data to extract meaningful neural signatures. Scientific Awards: ARC DECRA Fellow (Discovery Early Career Researcher Award) Newton Fellowship, MRC Cognition and Brain Sciences Unit, University of Cambridge Dr. Karimi-Rouzbahani is actively involved in research supervision, currently serving as the Principal Advisor for a PhD project on developing novel information decoding and tracking methods. He is the lead investigator on an ARC-funded project (2023–2029) titled "Characterising brain networks of intelligence through information tracking," which demonstrates his success in securing competitive research grants. He is available for supervision and collaborates with researchers across various institutions. His work is conducted within the Queensland Brain Institute , a world-leading neuroscience research centre, where he contributes to collaborative projects like #EEGManyLabs, emphasizing reproducibility in EEG research.

• Pain
• Neuromodulation
• Transcranial Magnetic Stimulation
• +۵ مورد دیگر

Bernadette Fitzgibbon is an Associate Professor at the Australian National University School of Medicine and Psychology . She serves as Director of Psychiatry Research at Paratus Clinical and previously held leadership roles in the Australian Brain Alliance EMCR Network (2017-2021) and Australasian Brain Stimulation Society (2019-2023). Her work bridges clinical neuroscience, mental health, and neuromodulation therapies. Research Focus : Pain neuroscience, brain stimulation (TMS, tDCS), meditation effects, and psychedelic-assisted psychotherapy Collaborations : Engages with consumers, policymakers, and international research teams in multi-site clinical trials Her research program emphasizes interdisciplinary approaches to mental health and pain management, with publications spanning clinical trials , neuroimaging , and machine learning -based pain classification. Key trends show integration of neuromodulation with psychosocial factors and AI applications in healthcare. Scientific Awards : 2021 Tess Cramond Lecture (Australasian Pain Society) 2018 Australasian Brain Stimulation Society Early Career Award Plenary speaker at 2022 & 2024 Neuromodulation Society meetings She has secured >5 million in research funding and published over 80 articles, including systematic reviews on psilocybin safety , opioidergic mechanisms , and functional connectivity in psychiatric disorders. Her work on meditation and brain-heart interactions highlights novel psychophysiological pathways.

Jason Potasمشاهده پروفایل

عضو هیئت علمی

• Neuroscience
• Autonomic Nervous System
• Spinal Cord Injury
• +۷ مورد دیگر

Dr. Jason Potas is an Honorary Senior Lecturer at the Australian National University , affiliated with the John Curtin School of Medical Research and the Division of Neuroscience . His research spans basic neuroscience and translational studies on neural injury recovery. Division of Neuroscience (Eccles Institute of Neuroscience) - Member The Maddess Group - Visitor Dr. Potas investigates sensory-motor coding and neural adaptation post-injury , with a focus on therapeutic strategies like photobiomodulation and biomaterials for neural regeneration. His lab also explores neuroprosthetic interfaces through brainstem signal decoding. Key research themes from his publications include neural signal processing , macrophage polarization in nerve repair , and brainstem autonomic pathways . He employs techniques like electrophysiology , immunohistochemistry , and machine learning to decode sensory information. Currently, Dr. Potas contributes to projects involving neuroinflammatory modulation using engineered nanofiber scaffolds and "bionic touch" prosthetics development . He is based at Room 1.351 at ANU's medical research campus.

Aruna Deviمشاهده پروفایل

مدرس

• Inclusive education (autism)
• Disabilities
• Teacher education
• +۷ مورد دیگر

Dr. Aruna Devi is a Lecturer in the School of Education and Tertiary Access at the University of the Sunshine Coast, Australia. She specializes in teaching tertiary preparation pathway programs designed to equip students with the skills and knowledge necessary for university success. Her work focuses on inclusive education practices and supporting diverse learners through effective educational strategies. Dr. Devi's educational background includes: Bachelor of Education (Secondary) from the University of the South Pacific Graduate Diploma in Science and Mathematics Education from the University of Adelaide Master of Education in Learning Support (with Dean's Honours) from The University of Queensland Graduate Certificate in Higher Education from the University of Southern Queensland Doctor of Education (Special Education) from the University of Southern Queensland Dr. Devi's research centers on inclusive education, particularly regarding autism spectrum disorder, disabilities, and teacher preparation. She investigates socio-cognitive and educational theories related to self-efficacy beliefs, employing both qualitative and quantitative research methods. Her work addresses critical issues in pathway programs, trauma-informed education, mental health, and student performance models, with a strong emphasis on practical applications in educational settings. Analysis of Dr. Devi's recent publications reveals a strong focus on inclusive education practices, particularly regarding autism spectrum disorder and disabilities. Her work spans educational theory, teacher preparation, and innovative approaches to supporting diverse learners. There is a notable integration of technology in education, including AI applications for student performance prediction and assistive technologies for students with neurodevelopmental disorders. Her research demonstrates an interdisciplinary approach, connecting education with psychology, neuroscience, and technology to address complex challenges in inclusive teaching and learning. Dr. Devi has received several prestigious awards and recognitions: Excellence in Doctoral Research, University of Southern Queensland (2020) Nominated for Ray Debus Award for Doctoral Research in Education (2020) Golden Key International Honour Society Membership (2018) Dean's Honours for High Achievement, Faculty of Social & Behavioural Science, University of Queensland (2008) Commonwealth Government Scholarship, University of Queensland (2007) As an experienced educator and researcher, Dr. Devi serves as an external supervisor for doctoral and master's students. She has secured multiple research grants, including projects on parental self-efficacy for children with disabilities, Auslan training benefits, culturally responsive education recovery, and AI-enabled student enrollment processes. Her collaborative approach is evident in her numerous multi-institutional research partnerships addressing critical issues in education.

• Artificial Intelligence
• Machine Learning
• Big Data
• +۴ مورد دیگر

Prof Yan Li is a full Professor of Computing at the University of Southern Queensland (UniSQ) , Australia, serving as Associate Head (Research) and Chair of the Research Committee in the School of Mathematics, Physics and Computing . She holds a PhD from Flinders University and has led the UniSQ AI Research group since 2018. Her research focuses on Artificial Intelligence, Machine Learning, Big Data, Network Security, Signal/EEG Processing , and Internet Technologies. With over 250 publications and $3.5M in grants, Prof Li has supervised dozens of PhD students. She is renowned for awards like the 2012 Australia National Teaching Citation and 2008 Queensland Smart Women Award. Her work bridges healthcare and technology, including EEG-based diagnostics for neurological disorders (e.g., Alzheimer’s, schizophrenia) and cybersecurity for IoT systems. She also contributes to telehealth systems and data-centric intelligent computing initiatives. Prof Li chairs UniSQ’s Academic Board Executive Committee and is a member of the Australian Research Council’s College of Experts. Her interdisciplinary projects integrate machine learning, signal processing, and healthcare analytics to address global challenges in health and security.

Fabio Zambettaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +۶ مورد دیگر

Professor Fabio Zambetta is Deputy Dean of Engagement at RMIT University's School of Computing Technologies. An internationally recognized research leader in AR/VR, games technology, and real-time simulation, he focuses on industry partnerships and cross-disciplinary practice. His research interests include artificial intelligence in games, reinforcement learning, mixed reality systems, and real-time simulation. He has led major projects with industry partners including Microsoft, GitHub, and Village Roadshow. Professor Zambetta's publications explore multimodal interfaces, cognitive load measurement in games, brain-computer integration, and assistive technologies. His recent work examines human-robot teaming, sports technology, and neuroadaptive systems. He has received the Best Paper Award at CHI 2024 for research on brain-to-brain interfaces.

• Optical Communications
• Photonics
• Electro-Photonics
• +۳ مورد دیگر

Professor Arthur James Lowery (BSc, PhD) is a full-time faculty member at Monash University's Faculty of Engineering , specifically within the Department of Electrical and Computer Systems Engineering (ECSE). He holds the ARC Laureate Fellow distinction and has served as Head of Department (2007-2012). His research spans electro-photonics , optical OFDM , and brain-machine interfaces , with extensive work on photonic integrated circuits and fiber nonlinearity compensation . He leads major projects like COMBS: Centre for Optical Microcombs (2023-2029) and previously directed the Monash Vision Group for bionic eye development. His educational background includes a BSc (Hons) from Durham University and a PhD from Nottingham University . Current research focuses on high-capacity optical communication networks , energy-efficient photonic devices , and direct cortical vision restoration systems . Notable grants include a $72M ARC Centres of Excellence award (2022) and a $924k MRFF Frontiers grant (2019) targeting brain-machine interface commercialization. His Google Scholar publications (over 15 recent works) reveal a trajectory toward soliton microcomb applications , photonic neuromorphic computing , and low-latency optical processing . Awards include Fellowships from IEEE and ATSE , the Clunies Ross Award (2007), and the Peter Doherty Prize (2006). He actively seeks postdocs and graduate students for research in photonic chip design , optical signal processing , and brain-machine interfaces , with scholarships available. Scientific Honors : IEEE Fellow (2009), ATSE Fellow (2007), Clunies Ross Award (2007), Peter Doherty Prize (2006) Key Grants : $72M ARC (2022), $924k MRFF (2019), $440k ARC Discovery (2019), $500k MTPconnect (2018) Leadership Roles : Director of Monash Vision Group (2010-2017), CTO of Ofidium Pty Ltd His work bridges optical communications and biomedical engineering , with patents in optical OFDM and nonlinearity compensation. The Monash Vision Group's Gennaris cortical implant project exemplifies his translational research, aiming to restore vision through wireless cortical stimulation systems.

Sergio Rodriguez Mendezمشاهده پروفایل

پژوهشگر ارشد

• Knowledge Graphs
• Ontology Engineering
• Linked Data & Semantic Web
• +۷ مورد دیگر

Sergio Rodriguez Mendez is a Research Fellow in Knowledge Graph Engineering at the School of Computing, Australian National University. His work focuses on advancing ontology engineering, linked data, semantic web technologies, and their applications in domains like astronomy, brain-computer interfaces, and IoT. He is a member of the Australian Government Linked Data Working Group (AGLDWG) and the W3C Knowledge Graph Construction Community Group, and holds a senior role at the Software Innovation Institute (SII). His research interests include Knowledge Graphs, Ontology Engineering, Linked Data, Data Science, Machine Learning, Natural Language Processing, Brain-Computer Interfaces, IoT, Cloud/Fog/Edge Computing, and Software Engineering. He has contributed to frameworks like pathfinder for astronomical literature review and Doc-KG for document-to-KG conversion. Recent work emphasizes integrating large language models (LLMs) with knowledge graphs, such as AstroLLaVA for astronomical data unification and hybrid frameworks for entity linking. His publications span conferences like WWW, JCDL, and the ACM/IEEE Joint Conferences. He actively supervises research students and is involved in initiatives like the ASKG project for enriching scholarly knowledge graphs. His work addresses challenges in semantic data representation, automated query processing, and syntactic complexity reduction, with a focus on domain-specific applications in science and cultural heritage.

• Wireless Communications (5G/6G)
• AI/Machine Learning Applications
• Cyber Security and Privacy
• +۹ مورد دیگر

Dr. Diep N. Nguyen is an Associate Professor and Associate Dean (Teaching & Learning) at the University of Technology Sydney (UTS), leading the Agile Communications and Computing Group within the Faculty of Engineering and Information Technology. He holds adjunct positions at universities in the US, Vietnam, and Japan. His research focuses on wireless communications (5G/6G), AI-driven networking, cybersecurity, and edge computing, with over 200 publications and $7M in grants from NSF, ARC, and industry partners. He has supervised 15 PhD students, many now in senior academic and industry roles globally. Key roles include Director of Transnational Education, co-founder of Food Agility CRC, and leadership in international initiatives like APEC DARE. Education: Ph.D. and M.E. in Electrical and Computer Engineering from The University of Arizona and UC San Diego, respectively. Professional service includes editorial roles for IEEE Transactions and conference leadership (e.g., IEEE VTC, INFOCOM). Awards include UTS Research Excellence Awards (2021, 2024), DECRA (2015), and industry recognitions like the 2024 iAward and IoT Impact Award. Research emphasizes AI applications in communications, cybersecurity for Industry 4.0, and 6G security. Notable projects include Australia-Vietnam 5G/6G Centre ($2.1M) and DFAT-funded initiatives for disaster management. Books authored include Deep Reinforcement Learning for Wireless Communications and Generative AI for Communications Systems . Teaching focuses on integrating research into courses like Cloud Security and Industry 4.0 Technologies. His pedagogy emphasizes self-directed learning through authentic research tasks, supported by real-time feedback channels.

• Cybersecurity
• Machine Learning
• Cryptography
• +۳ مورد دیگر

Dr. Aqeel Sahi is a Lecturer in Computing at the University of Southern Queensland's School of Mathematics, Physics and Computing. He holds an MSc from Universiti Utara Malaysia and a PhD in Cybersecurity and Machine Learning from USQ. With over 15 years of teaching experience, Dr. Sahi instructs courses including Algorithms and Data Structures, Object-Oriented Programming, and Web Technologies. His research spans cybersecurity, machine learning, cryptography, and software engineering, with particular focus on developing advanced security algorithms and machine learning applications for network protection. Recent publications demonstrate strong emphasis on AI-driven security solutions, healthcare applications, and network defense mechanisms. Dr. Sahi maintains professional memberships with IEEE and ACS, bridging academic and industry expertise through his background as a senior software engineer.

Frederic Gilbertمشاهده پروفایل

دانشیار

• Neuroethics
• AI Ethics
• Bioethics
• +۳ مورد دیگر

Frederic Gilbert is an Associate Professor in Philosophy and Ethics at the University of Tasmania's School of Humanities. His pioneering research explores the ethics of AI-operated implantable brain-computer interfaces, with focus on effects on patient autonomy and identity in neurological treatments. Research Focus: Ethical implications of invasive neurotechnologies for conditions like Parkinson's and depression AI-human interface ethics and neuroprosthetics Policy development for clinical neurotechnology trials Notable Projects: Principal investigator for 'Agency and Algorithms' project examining AI's impact on human autonomy ARC DECRA Research Fellowship on ethical policy for invasive brain devices Honors: ARC DECRA Research Fellowship (2015) Visiting Scientist appointments at University of Washington and University of British Columbia Research featured in The Lancet, Nature, and The New Yorker

• Biomedical Engineering
• Wearable Sensors
• Neural Signal Processing
• +۳ مورد دیگر

Professor Wei Chen is Head of the School of Biomedical Engineering at the University of Sydney. She holds a B.Eng. and M.Eng. from Xian Jiaotong University, China, and a Ph.D. from the University of Melbourne (2007). Her international experience includes positions at Bell Laboratories Germany and Eindhoven University of Technology. Professor Chen's research focuses on biomedical signal processing, wearable sensors for healthcare, and neural engineering applications. Research Interests: Development of wearable sensor systems for medical monitoring Neural signal processing and brain network analysis Sleep staging algorithms and neonatal monitoring technologies Biomedical instrumentation and sensor design Her recent publications demonstrate strong focus on neural signal processing, novel biosensor development, and AI applications in healthcare. Research trends show interdisciplinary work combining biomedical engineering with materials science, AI, and clinical neurology. Professional Service: Editorial roles for multiple IEEE journals including Transactions on Biomedical Engineering Former Chair of IEEE Sensor and Systems Council China Chapter IEEE EMBS AdCom Asia/Pacific representative