جستجوی استاد راهنمای دانشگاهی

Jennifer Manningمشاهده پروفایل

مدرس

• Nursing
• Nursing Education
• Scholarship of Teaching and Learning
• +۱۱ مورد دیگر

Jennifer Manning is a Lecturer in Nursing at the School of Nursing, Paramedicine and Healthcare Sciences, Charles Sturt University, Australia. She is an active academic with a strong commitment to nursing education and the scholarship of teaching and learning. Her educational background includes a Master of Nursing from Charles Sturt University, a Graduate Diploma in Education from Macquarie University, a Graduate Diploma in Occupational Health & Safety from the University of Technology Sydney, and a Bachelor of Arts from the University of Wollongong. Her research focuses on nursing education, clinical simulation, nursing ethics, and chronic care. She has published on topics such as simulated electronic health records, Holocaust-related nursing ethics, and interdisciplinary chronic care. Her recent work emphasizes innovative teaching methods and the integration of technology in nursing education. Her publications show a consistent focus on pedagogical innovation, ethical reasoning, and practical nursing skills, particularly in the use of simulation and digital tools to enhance student learning and clinical preparedness. Executive Dean's Award for Academic Excellence (2017) Perspectives and evaluation of a feedback resource kit for staff and students (Grant, 2023) Jennifer has contributed significantly to curriculum development and academic leadership. She has served as Subject Coordinator for second- and third-year nursing subjects and has been involved in peer review of teaching practices. She is an active member of the Higher Education Research and Development Society of Australasia (HERDSA) and the Australian College of Nursing (ACN), where she supports professional development and networking in the Central West region. Though no formal lab or research team is mentioned, her collaborative publications and conference activities indicate strong engagement with interdisciplinary teams in nursing education and ethics.

• Cybersecurity
• Computer Forensics
• Network Security
• +۷ مورد دیگر

Dr Hasmukh Morarji is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. He has been an academic at QUT for over 30 years and previously taught at the University of the South Pacific in Fiji and the University of Brunei Darussalam. He holds a PhD from the University of Kent and master's and bachelor's degrees from the University of Canterbury, New Zealand. His research and teaching focus on key areas in computing, including cybersecurity, computer forensics, software engineering, networks, and IT education. He has coordinated multiple units in programming, computer systems, and security, and currently leads the Master of Information Technology, Graduate Certificate in IT, and Graduate Diploma in IT programs. His recent publications reflect a strong trend in cybersecurity, particularly in threat information sharing, mobile malware modeling, SCADA security, and computer profiling for forensic applications. His work bridges theoretical models with practical security implementations, especially in critical infrastructure and educational environments. Barriers to cybersecurity threat sharing in developing nations Formal modeling of mobile malware propagation Security risks in IPv6 transition for SCADA systems Event-based computer profiling for digital forensics Human factors in critical infrastructure ICT risk Innovations in IT education and integrated learning environments Dr Morarji has not listed any scientific awards or honors in the provided text. He has supervised or co-authored work with several researchers but no formal students are listed. He has been actively involved in teaching and curriculum development across undergraduate and postgraduate levels, contributing significantly to IT education at QUT. He teaches current units such as IFN551 Computer Systems Fundamentals, IFN555 Introduction to Programming, and IFN556 Object-Oriented Programming. His earlier teaching includes foundational courses in programming and computer systems. No specific lab or research team affiliations are mentioned in the source material.

Brendan Wrightمشاهده پروفایل

پژوهشگر

• Photovoltaics
• Machine Learning
• Computational Modelling
• +۲ مورد دیگر

Dr. Brendan Wright is a researcher at the University of New South Wales , affiliated with the Faculty of Engineering and the School of Photovoltaic and Renewable Energy Engineering . His work bridges photovoltaics and machine learning , focusing on electrochemical defect mechanisms in silicon solar cells and generative representation learning for complex physical systems. With a PhD in Physics (2018) and a B. Nanotechnology Honours (2011) from the University of Wollongong, his research spans charge carrier dynamics in organic PV systems to computational chemistry. Research Interests: Machine learning applications for utility-scale photovoltaic systems State-space dynamics modelling using generative algorithms End-of-life classification of solar panels Deep learning for electroluminescence image analysis Surface polarization effects in silicon solar cells Grants: Australian Renewable Energy Agency (ARENA) R&D Project Grant (RG220681, 2022) Australian Centre for Advanced Photovoltaics (ACAP) Industrial Collaboration Grant (2022) Scientific Contributions: Developed polarizable force field models for polymer electrolytes Created deep learning frameworks for photovoltaic defect analysis Innovated perspective correction algorithms for solar module imaging Applied latent ODE networks to predict PV degradation trends Advising: Currently supervises Chukwuka Madumelu in photovoltaic engineering and provides secondary guidance to doctoral candidates. His mentorship extends to computational material science and AI-driven energy systems research.

Shayne Loftمشاهده پروفایل

استاد

• Cognitive Psychology
• Applied Cognitive Psychology
• Human Factors
• +۴ مورد دیگر

Shayne Loft is a Professor at the School of Psychological Science, University of Western Australia (UWA), affiliated with UWA Data Institute and UWA Defence and Security Institute. He holds an ORCID identifier (0000-0002-5434-0348) and has extensive expertise in cognitive psychology, applied cognitive psychology, and human factors. His research focuses on automation transparency, decision-making, situation awareness, and prospective memory in safety-critical environments like aviation, maritime operations, and air traffic control. Education: PhD from The University of Queensland (funded by Australian Research Council and industry grants exceeding $6 million). Teaching includes Masters-level courses in Industrial/Organisational Psychology and Fourth-Year Statistics. Research interests emphasize cognitive processes in complex systems, particularly how humans interact with automated systems. Key themes include automation reliability perception, multitasking under pressure, and team performance in control room environments. His work addresses challenges in human-automation teaming, transparency design, and error detection in safety-critical tasks. Publications (135+ articles) explore topics like automation failure detection, decision support systems, and neurocognitive aspects of memory. Recent trends show focus on submarine control systems, air traffic management, and adaptive automation interfaces. Scientific Awards: School of Psychological Science Senior Research Award (2023) Grants: Over 37 projects including ARC grants (>$3M) and US Office of Naval Research collaborations Advising involves supervising 16 graduate students. Current lab focuses include cognitive modeling of automation interactions and developing human-centered interfaces for defense applications.

Chirag Kasbekarمشاهده پروفایل

مدرس

• Organization Theory
• Economic Sociology
• Institutions and Institutional Change
• +۶ مورد دیگر

Chirag Kasbekar is a Lecturer at the Research School of Management, Australian National University (ANU). He holds a PhD in Organization and Management from Emory University, USA, and previously worked in an IT firm in India. His research focuses on organizational evolution, institutional change, and entrepreneurship, with notable work published in Organization Science and featured in the Harvard Business Review . Research Interests include Organization Theory, Economic Sociology, and Inter-Cohort Co-Evolution. His 2020 study on postbellum U.S. firearms firms explores how new organizations adapt to legitimacy challenges, while his 2010 work addresses enhancing search result relevance via user judgment. Awards: BPS Distinguished Student Paper Award (Academy of Management Meeting) Projects: Co-Investigator on the 'Deliberately Differentiated Package Research Program' (2022–2024). No formal advisees listed, but engaged in research supervision at ANU.

Cagri Kumruمشاهده پروفایل

دانشیار

• Macroeconomics
• Public Economics
• Behavioral Economics
• +۵ مورد دیگر

Cagri Kumru is an Associate Professor of Economics at the Australian National University (ANU), affiliated with the Research School of Economics. He serves as an Associate Investigator at the Centre of Excellence in Population Ageing Research (CEPAR) and a Research Associate at the ANU Centre for Applied Macroeconomic Analysis (CAMA). His research focuses on the macroeconomic implications of tax and social insurance programs, integrating behavioral economics insights into large-scale computational models. Key research areas include optimal taxation, public economics, behavioral economics, and welfare economics. He has explored topics such as inheritance tax roles, capital income taxation, means-tested benefits, and differential mortality impacts on social security systems. His work has been funded by the Australian Research Council (ARC) and the U.S. Social Security Administration's Michigan Retirement Research Center. Cagru’s research appears in top-tier journals like the Journal of Public Economics , Journal of Economic Dynamics and Control , and European Economic Review . He is actively involved in supervising research students and has contributed to collaborative projects analyzing aging populations and macroeconomic policies. Notable contributions include analyzing the annuity role of estate taxes, optimal taxation frameworks under behavioral assumptions, and the interplay between self-discipline and public policy. His interdisciplinary approach bridges theoretical models with real-world policy implications, emphasizing equitable outcomes and economic efficiency.

Deborah Turnbull Tillmanمشاهده پروفایل

مدرس ارشد

• New Media Curation
• Interactive Art
• Digital Culture
• +۳ مورد دیگر

Dr. Deborah Turnbull Tillman is a Senior Lecturer in Media Arts and Curatorial Studies at the School of Art & Design, UNSW Sydney. She serves as Director of Lifelong Learning in the Faculty of Art, Design and Architecture and holds leadership roles in creative robotics research and education. Her academic journey includes a PhD in New Media Curation (UNSW, 2018) and a Master of Arts Curatorship (University of Sydney). She has curated over 20 exhibitions globally, including SHErobots and FEM-Me, focusing on technology’s intersection with art and audience engagement. Research interests span new media curation, cultural robotics, interactive art, and curatorial methodologies. Recent work explores how technology shapes audience participation in art. She leads the Creative Robotics Lab and advises on national facilities for Human-Robot Interaction research. Her publications include the co-edited volume Cultural Robotics (Springer, 2023) and peer-reviewed articles on digital curation in health contexts and virtual conferencing. Awards include the Australian Postgraduate Award and multiple grants for exhibition production and research. Deborah actively participates in international conferences, serving as Arts Chair for Creativity and Cognition 2024 and curator for SIGGRAPH Asia. Teaching focuses on future-focused technologies and curatorial practices. Supervision areas include interactive art curation and practice-led research methodologies. Grants total over $150K, supporting exhibitions, conferences, and publication costs. She directs educational initiatives like UNSW’s Annual Exhibition Graduate Showcase and leads professional development for education-focused academics.

Ganesh R. Naikمشاهده پروفایل

استاد مدعو

• Biomedical Engineering
• Signal Processing
• Data Science
• +۹ مورد دیگر

Ganesh R. Naik is an Adjunct Professor at the College of Medicine and Public Health, Flinders University, and a Full Member of the Flinders Health and Medical Research Institute. He is ranked in the top 2% of researchers worldwide in Biomedical Engineering (Stanford University). His expertise lies in biomedical signal processing, algorithm design, and health technologies, with significant contributions to sleep research and global disease burden studies. PhD in Electronics Engineering (Biomedical Engineering, Data Science, Signal Processing), RMIT University, 2009 Dr. Naik's research focuses on advanced signal processing techniques such as independent component analysis, blind source separation, and machine learning applications in biomedical data. His work spans areas including electromyography, sleep disorders, and large-scale epidemiological modeling through the Global Burden of Disease (GBD) Study. The recent publications highlight a strong interdisciplinary trend, combining biomedical engineering with public health and artificial intelligence. Key themes include sleep apnea and diabetes, neurological disorders like epilepsy and Parkinson’s, wearable sensors, and AI-driven cybersecurity. His editorial leadership in journals like IEEE Access and Frontiers in Neurorobotics underscores his influence in the academic community. Scientific Awards and Honors: Bridge and BridgeTech Industry Fellowship (2023) Chancellor’s Postdoctoral Research Fellowship, UTS (2013–2016) ISSI Overseas Fellowship, Skills Victoria (2010) IEEE Victoria Travel Scholarship (2008) Baden-Württemberg PhD Scholarship, Germany (2006–2007) Dr. Naik has supervised numerous research students and led major projects, including a multimillion-dollar CRC project on sleep at Western Sydney University. He has edited 12 books and authored over 150 peer-reviewed publications, cited over 5,000 times. His current research involves wearable technologies, digital twins for health, and AI-based predictive models for chronic diseases. He is actively involved in editorial roles and international collaborations, contributing to advancements in biomedical engineering and public health policy. His lab work emphasizes real-world applications of signal processing in clinical and community settings.

Amy Dawelمشاهده پروفایل

دانشیار

• Cognitive Sciences
• Sensory Processes, Perception And Performance
• Personality, Abilities And Assessment
• +۷ مورد دیگر

Amy Dawel is an Associate Professor at the Australian National University (ANU) School of Medicine and Psychology , specializing in cognitive and clinical psychology. Her research focuses on facial expression perception , emotional regulation , and human-computer interaction . She employs behavioral, cognitive, and physiological methods to study social cue interpretation and response mechanisms. Education: BA (Hons) in Psychology, ANU PhD in Clinical Psychology, ANU Research Interests include: Emotion authenticity perception in psychopathic traits Developmental studies on children's facial expression recognition Impact of impaired face perception on social interactions Emotion regulation in relation to mental health AI-generated face detection and human perception Recent Publications highlight trends in social media's mental health impacts , meta-analyses of face perception , and AI hyperrealism studies . Her work also explores syndemic effects on mental health and naturalistic emotion interpretation. Affiliations include leadership roles in the Reading facial expressions from real and virtual humans project (2022-2026), collaborating with institutions like the University of Western Australia and international experts in AI and neuroscience.

John Fergusonمشاهده پروفایل

دانشیار

• Electronic Music
• Digital Fabrication
• Interactive Multimedia Systems
• +۵ مورد دیگر

Associate Professor John Ferguson is a post-digital/electronic musician and sound artist at Queensland Conservatorium, Griffith University since 2015, currently serving as Head of Creative Music Technology . He has held academic positions at Brown University (Visiting Assistant Professor) and Kingston University London (Lecturer). His Ph.D. from Newcastle University (2010) focused on artistic methods in digital media and redefining live musicianship. Current ARC Discovery Project (DP240100680) on regional digital music ecosystems Founded Interactive Media Lab collaborations Expertise in Pure Data, Arduino, Touch Designer for custom instruments Research explores post-digital systems blending tactile interaction with generative audio-visual environments. Supervises PhD/DMA students in topics like AI collaboration, sonic identity, and redundant technology repurposing. Grants include Queensland Museum , Australia Council for the Arts , and Griffith University internal funding for media architecture projects.

Don Samitha Elvitigalaمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Human Augmentations
• Wearable Computing
• +۳ مورد دیگر

Don Samitha Elvitigala is a Senior Lecturer in the Department of Human Centred Computing at Monash University, affiliated with the Exertion Games Lab. His research focuses on novel human augmentations, leveraging everyday clothing and accessories to enhance human capabilities through implicit understanding of physical and mental behaviors. He holds a PhD in Human-Computer Interaction from the University of Auckland (2021), winning multiple accolades including the Best Thesis Award from the Auckland Bioengineering Institute. Education: PhD in Human-Computer Interaction, University of Auckland (2018–2021). Prior to Monash, he was a postdoctoral fellow at UNSW Sydney, co-creating the HCI BoDi Lab. He also served as a Visiting Lecturer at the School of Computer Science and Engineering at UNSW. Research interests include Human-Computer Interaction, Wearable Computing, and Haptics. His work addresses sustainable development goals through innovations like StressShoe (stress intervention tool) and TickleFoot (laugh-evoking mechanism). Recent articles explore topics such as lucid dream induction systems and telepathic superpower design via brain-muscle interfaces. Awards include the Best Student Paper Award at PETRA 2021 and a nomination for the ACM Doctoral Thesis Award. He actively contributes to conferences like CHI and UbiComp, organizing events such as the Augmented Humans International Conference. His advising focuses on PhD students in Human-Computer Interaction, Human Augmentations, and Ubiquitous Computing. Collaborations span global institutions, with a focus on wearable tech and sensory systems.

• Interactive Media Technology
• Music Composition
• Virtual Reality (VR) Design
• +۴ مورد دیگر

Ciaran Frame is a Research Fellow at Monash University's Department of Human Centred Computing, specializing in interactive media technologies and music composition. His work focuses on designing accessible musical instruments and immersive experiences through gestural interaction, virtual reality (VR), and inclusive performance systems. Research projects include the AirSticks Lab (2021–2024), which develops accessible music-making workshops for children using novel technologies, and Research Buoy (2021), a collaboration with BoilOver Inclusive Performance Ensemble exploring participatory music systems. His outputs span conferences like NIME and ACM Transactions on Accessible Computing, addressing topics such as VR musical experiences, minimal-input interfaces, and instrument documentation. Frame’s articles emphasize accessibility, user-centered design, and cross-disciplinary collaboration. He has secured funding from the Telematics Trust for projects bridging technology and inclusive music practices. His work often intersects with education, arts, and disability studies, advocating for equitable access to music creation and performance.

• Learning Analytics
• Educational Technology
• Artificial Intelligence in Education
• +۷ مورد دیگر

Steve Li is a Research Fellow in the Department of Human Centred Computing at Monash University’s Faculty of Information Technology. His work bridges artificial intelligence, learning analytics, and human-computer interaction to support educational practices through data-driven tools. His research focuses on learning analytics , AI in education , and human-centred computing , with specific interests in automated assessment, affective state modeling, knowledge management for educators, and multimodal data storytelling. He explores how machine learning can support human grading, how politeness affects online tutoring, and how data comics can preserve indigenous languages through engaging narratives. The trends in his recent publications (2021–2025) reveal a strong focus on self-regulated learning , collaborative knowledge building , and ethical AI integration in education. His work frequently appears in top venues like Computers and Education , ACM DIS, and LAK, emphasizing interdisciplinary collaboration with experts such as Gašević, Chen, and Swiecki. Scientific Awards: No awards explicitly mentioned in the text. Advising and Grants: While no formal advisees or grant details are listed, his consistent co-authorship in high-impact projects suggests active participation in funded research initiatives and mentorship within collaborative teams. Labs and Teams: Steve Li is likely part of a broader learning analytics and educational technology research group at Monash University, collaborating closely with leading figures in the field to develop tools that enhance teaching, learning, and knowledge sharing through innovative computing solutions.

• Artificial Intelligence
• Computer Vision
• Data Mining
• +۷ مورد دیگر

Motiur Rahaman is a research-focused academic at Charles Sturt University, Australia, affiliated with the Data Mining Research Group (DaMRG) in the School of Computing, Mathematics and Engineering. His work bridges artificial intelligence with practical applications in agriculture and healthcare. Charles Sturt University Data Mining Research Group (DaMRG) Department of Computer Science His research interests center on artificial intelligence, computer vision, and data mining , with strong applications in remote sensing for agriculture (e.g., weed detection in crops) and medical imaging analysis (e.g., predicting ICU admission from X-ray features in COVID-19 patients). He also explores speech emotion classification using augmented audio data. His work often involves Gaussian mixture modeling, spatial correlation analysis, and deep learning techniques. The recent publications show a clear trend toward applied AI in solving real-world problems, particularly in sustainable agriculture and public health. His interdisciplinary collaborations reflect a strong emphasis on translating AI models into practical tools for farmers and clinicians. Scientific Awards: World-first computing and artificial intelligence COVID-19 severity scoring study (Grant, May 2020) Dr. Rahaman has been involved in significant grant-funded research, particularly in AI for healthcare. He collaborates extensively with researchers in viticulture, medicine, and agricultural technology. While no formal advisees are listed, his role in doctoral theses and datasets suggests mentoring and team leadership. He is a key contributor to the Smart Wine Project , which developed an open image library for grapevine nutrient disorders, demonstrating his involvement in data-driven agricultural innovation.

Louisa Piccoمشاهده پروفایل

پژوهشگر ارشد

• Addiction
• Prescription Opioid Harms
• Drug Policy
• +۷ مورد دیگر

Dr. Louisa Picco is an NHMRC Emerging Leader Research Fellow and Program Lead for Drug Policy and Harm Reduction at the Monash Addiction Research Centre (MARC), Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. She is actively involved in research on prescription opioid harms, mental health, and stigma, with a strong focus on public health policy and digital interventions. Education: PhD, Examination Of Prescription Opioidrelated Risks Using Prescription Drug Monitoring Programs And Clinical Screening Tools, Monash University (2022) MPH, Deakin University (2006) BAppSc(FoodScNut), Deakin University (2003) Her research interests center on addiction, prescription opioid risks, drug policy, harm reduction, and mental health stigma. She investigates how prescription drug monitoring programs can mitigate opioid-related harms and improve patient safety. Her work also explores digital health solutions and health literacy in opioid safety, contributing to public health and the UN Sustainable Development Goals. Recent publications demonstrate a strong trend in leveraging data and technology for public health impact, including AI-based screening for opioid use disorder, systematic reviews on pain in opioid treatment, and evaluations of naloxone access and PDMP implementation. Her work spans clinical, policy, and community-based research, often in interdisciplinary collaboration. Scientific Awards: 2024-25 Premier's Award for Health and Medical Research (Public Health Award) APSAD 2022 Conference Registration Scholarship CPDD and NIDA Women & Sex/Gender Junior Investigator Travel Award (2024) CPDD Travel Award for Early Career Investigators (2025) Monash Addiction Research Centre (MARC) 2023 PhD Publication Prize Award Dr. Picco has secured over $1.8 million in competitive Australian research funding as a lead investigator and has contributed as a Co-Investigator to more than $8 million in research funding in Singapore. She is currently leading the NHMRC-funded project Optimising the investment in real-time prescription drug monitoring (2023–2027) and is a Chief Investigator on Empowering consumers with health literacy in opioid safety . She is accepting PhD students and collaborates extensively with researchers in Australia and internationally. Her work is supported by strong networks in addiction research, public health, and policy implementation. She is affiliated with the Monash Addiction Research Centre, a leading hub for addiction research, where she contributes to interdisciplinary projects, mentorship, and knowledge translation. Her team engages in co-design of digital tools and real-world implementation of harm reduction strategies.