جست‌وجوی استاد و پژوهشگر

• Computational Mechanics
• Biomechanics
• Mechanical and Material Engineering
• +۳ مورد دیگر

Professor YuanTong Gu is the Pro Vice-Chancellor (Research Career Advancement) and Head of the School of Mechanical, Medical and Process Engineering at Queensland University of Technology (QUT). He holds an ARC Future Fellowship and leads the Laboratory for Advanced Modelling and Simulation in Engineering and Science. His research focuses on computational mechanics, biomechanics, and nanotechnology, with over $40M in secured research funding since 2000. He has supervised over 15 PhD students and collaborates with global institutions including Tsinghua University and the University of California. His awards include the International Computational Methods Award (2017) and ICACM Computational Mechanics Award (2017). Prof. Gu's work spans interdisciplinary projects in joint biomechanics, advanced materials, and AI-driven engineering solutions. Education: PhD (National University of Singapore), Graduate Certificate in Education (QUT). Research Groups: Leads a team of 3 academics, 2 ARC Future Fellows, and 15+ PhD students. Key projects include diamond nanothread composites, AI in biomedical devices, and fracture detection frameworks. His group collaborates with industry leaders and global universities to advance computational methods and materials science. Editorial Roles: Associate Editor of Engineering Analysis with Boundary Elements and Applied Mathematical Modelling , among others. Conference leadership includes chair roles in international computational mechanics conferences since 2012.

Muhammad Shahid Javaidمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Stem cell research
• Precision Medicine
• +۷ مورد دیگر

Dr. Muhammad Shahid Javaid is a postdoctoral research fellow in the Department of Neuroscience at the School of Translational Medicine, Monash University. He completed his PhD from Monash University and has presented his research on national and international platforms. His research focuses on: Development of precision medicines using human stem cell-based in vitro epilepsy models Biological reprogramming of patients' blood cells into stem cells Converting stem cells into brain cells, neurons, and 3D brain organoids Creating personalized 'disease-in-a-dish' models for patients with medically intractable epilepsy Bioinformatics-based computer-aided medicine design His recent publications demonstrate expertise in integrating in vitro human iPSCs-derived neuron and in vivo animal approaches for anti-seizure compound screening, developing human in vitro models of epilepsy using stem cells, conducting molecular docking studies for redox balance regulation in epilepsy, analyzing sex differences in adverse drug reactions from antiseizure medications, and performing in silico analysis of stem cell differentiation mechanisms. His awards include: Gold Medal (2016) Monash Graduate Scholarship (MGS) (2018) Monash International Tuition Scholarship (MITS) (2018) Dr. Javaid has been actively involved in research projects related to patient-specific disease models for Homer1 gene mutations, pre-clinical evaluation of adenosine A1 receptor modulators for drug-resistant epilepsy, intracerebral delivery of Neuropeptide Y for epilepsy treatment, and drug screening using patient-specific iPSCs-derived neurons. He also served as an Authorised Officer and Public Health Officer at the Department of Health (Victoria) from February 2021 to June 2022, demonstrating his commitment to public health applications of his research.

• Medicinal Chemistry
• Organic Synthesis
• Drug Discovery
• +۴ مورد دیگر

Keng Yoon Yeong is a Senior Lecturer in the School of Science at Monash University, specializing in Medicinal Chemistry and Advanced Organic Chemistry. His research focuses on small molecule and short peptide drug discovery targeting cancers, infectious diseases, and neurological disorders. Prior to academia, he spent 11 years as a research scientist in industry, focusing on organic synthesis and immunoassays. His work is supported by international and national funders like the Royal Society of Chemistry UK and Malaysian Ministry of Science, Technology and Innovation (MOSTI). He has co-authored over 60 publications and holds several awards, including the Faculty of Science Dean's Awards for Excellence in Teaching (2020) and Honours Supervision (2023). His research group employs parallel synthesis for compound libraries and explores strategies like computer-aided drug design and bioisosteric replacements. Recent projects include developing ADAR1 inhibitors for oral cancers and isolating bioactive compounds from Myristica fragrans for Alzheimer’s treatment. He actively collaborates internationally and has visited institutions like the University of Northern British Columbia (2024) and Petru Poni Institute of Macromolecular Chemistry (2024). Awards include the Golden Pavilion Award for Best Research Project and Thesis from University Science Malaysia (2015–2016), and recognition for sustainable drug discovery initiatives. His media engagements include TEDx talks and features on drug discovery trends.

Pari Delir Haghighiمشاهده پروفایل

مدرس ارشد

• Ubiquitous Computing
• Context-aware Computing
• Mobile Health
• +۴ مورد دیگر

Pari Delir Haghighi is a Senior Lecturer in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. She holds a PhD in Computing (2010) and a Bachelor of Computer Science (Honours) from Monash University (2004). Her research focuses on ubiquitous computing, context-aware systems, mobile health, and AI-driven decision support. She has pioneered solutions for chronic disease management, emergency response systems, and healthcare data integration. Notable projects include developing the DO4MG ontology for emergency management, AI-powered construction safety systems, and mobile interventions for eating disorders. She has led 13 research projects, including collaborations on digital health, safety engineering, and body image interventions. Her work aligns with UN Sustainable Development Goals related to health and education. Teaching contributions include awards for Honours supervision (2014) and student learning excellence (2020). She teaches courses such as Mobile and Distributed Computing Systems and Systems Analysis and Design. Pari actively organizes conferences like the International Conference on Advances in Mobile Computing and Multimedia. Her lab, the Data Visualisation and Immersive Analytics Research Lab, explores innovative visualisation techniques. Current research emphasizes culturally inclusive digital health interventions, LLM auditing for harmful content detection, and IoT middleware benchmarking. She advises on interdisciplinary projects, fostering collaboration between IT and healthcare sectors.

Alessandra Suttiمشاهده پروفایل

دانشیار

• Materials Science
• Sustainable Textiles
• Environmental Science
• +۲ مورد دیگر

Alessandra Sutti is an Associate Professor at Deakin University's Institute for Frontier Materials , focusing on polymers, textiles, and sustainable material solutions. Her work bridges industry collaboration with environmental stewardship, particularly through microplastics research and STEM education initiatives. PhD in Materials Science from Universita' degli Studi di Parma (2007) Active in Australian Research Council-funded projects and industry partnerships

Ben Rossمشاهده پروفایل

مدرس ارشد

• Medicinal Chemistry
• Computer-Aided Drug Design
• Virtual Screening
• +۱۱ مورد دیگر

Dr. Ben Ross is a Senior Lecturer at the School of Pharmacy and Pharmaceutical Sciences , Faculty of Health, Medicine and Behavioural Sciences , University of Queensland. With a background in medicinal chemistry and synthetic chemistry, his research focuses on computer-aided drug design for cancer , viral infections , and neurodegenerative diseases like Alzheimer’s. His team employs biochemical , biophysical , and cell-based assays , alongside animal models , to evaluate novel drug candidates, emphasizing ADMET properties for clinical translation. Education : BSc (First-Class Honours), University of Queensland (1999) PhD in Medicinal Chemistry, University of Queensland (2004) Research Themes include virtual screening, enzyme inhibition, ion channel modulation, and nanoparticle-based drug delivery systems . His work spans computer-aided design of acetylcholinesterase inhibitors , Orai1 calcium channel modulators , and antiviral nanoparticles . Recent projects highlight 3D-printed tablets for personalized prednisone dosing and pH-responsive nanocarriers for colon-targeted therapy. Publications demonstrate expertise in medicinal chemistry (75 total), with high-impact work in Journal of Medicinal Chemistry , ACS Applied Materials & Interfaces , and Nanoscale . Themes include virtual screening , nanoparticle drug delivery , and multi-target inhibitors for neurodegeneration and cancer. Collaborations with local and international researchers enhance translational impact. Supervision & Funding : Actively mentors PhD students in oral drug delivery , Alzheimer’s therapies , and 3D printing , with support from UQ Scholarships , NHMRC , and international programs (MOHE, Saudi Arabia, CSC). Leads the RossChemLab , emphasizing drug-likeness and collaborative discovery .

• Bioinformatics
• Machine Learning
• Health Informatics
• +۳ مورد دیگر

Dr. Matloob Khushi is an academic staff member at the University of Sydney's School of Computer Science, where he has held roles since joining in 2017. He earned his Ph.D. from the University of Sydney and has published over 50 research papers. His research focuses on big data analysis, machine learning applications in health, finance, and genomics, with notable contributions to adverse drug event prediction, bioinformatics tools, and predictive modeling in healthcare. Dr. Khushi's work has been recognized in media for innovations like the MatCol tool aiding cancer research. Education: Ph.D. in Computer Science, University of Sydney (2008). Research Interests: Machine learning for big data, biomedical informatics, financial analytics, and health informatics. Recent articles highlight advancements in graph neural networks, predictive models for chronic diseases, and tools for genomic analysis. He advises two Ph.D. students and collaborates on interdisciplinary projects.

Elena-Laura Budusanمشاهده پروفایل

پژوهشگر ارشد

• Ion Channel Pharmacology
• Venom Peptide Research
• Drug Discovery
• +۳ مورد دیگر

Dr. Elena-Laura Budusan serves as a Postdoctoral Research Fellow at the University of Queensland's Institute for Molecular Bioscience (IMB), where she investigates ion channel pharmacology using venom-derived peptides as molecular probes. Her work bridges basic science and therapeutic development, with emphasis on acid-sensing ion channels (ASICs) implicated in pain and stroke pathologies. Her primary research focuses on characterizing venom peptides from spiders (e.g., Hi1a, Hc3a) and snakes (e.g., mambalgin-3) that modulate ASIC function. Through multidisciplinary approaches combining peptide chemistry, electrophysiology, and molecular modeling, she elucidates structure-activity relationships to develop novel analgesics and neuroprotective agents. Current projects include optimizing peptide stability, evaluating therapeutic efficacy in stroke models, and exploring mechanisms of ion channel desensitization. Analysis of her 2021-2024 publications reveals a cohesive trajectory from molecular characterization (e.g., mambalgin-3's interaction with ASIC1 variants) to translational applications (e.g., Hi1a's effects in stroke models). Her work demonstrates progression from in vitro mechanistic studies to in vivo validation, highlighting venom peptides' potential as therapeutic leads for neurological disorders. No scientific awards or fellowships are documented in the provided materials. Dr. Budusan is available for research supervision and collaborates extensively within IMB's Venom Therapeutics Laboratory. Her work leverages institutional resources including automated patch clamp facilities and peptide synthesis platforms, though specific grant funding details are not disclosed in the source texts. She operates within IMB's collaborative ecosystem under the mentorship of Professor Lachlan Rash and Professor Glenn King, contributing to Australia's internationally recognized venom research program. Her team employs cutting-edge techniques from CRISPR-based lineage tracing to in-silico structure prediction, positioning her work at the intersection of toxinology and drug discovery.

• Digital Innovation
• Internet of Things (IoT)
• Digital Twins
• +۵ مورد دیگر

Nico Adams is a Professor and Optus Chair of Digital Innovation and IoT at James Cook University (JCU), where he also serves as Associate Dean of Industry and Innovation in the College of Science and Engineering. His research focuses on digital twins, IoT applications, and systems science, with a particular emphasis on supporting industries in North Queensland through digital transformation. Previously, he held roles as an Associate Professor at Swinburne University of Technology and Director of Swinburne’s Factory of the Future, pioneering industry-academia collaboration models. He has extensive experience in senior research roles at CSIRO and academic institutions like the University of Cambridge. Education: Doctor of Philosophy (DPhil), University of Oxford Research interests span digital innovation, IoT systems, and the integration of chemical and biological data through ontologies. He has contributed to projects like the Queensland Decarbonisation Hub and flood monitoring systems. His work bridges academia and industry, emphasizing long-term partnerships for technological advancement. Grants and projects include collaborative agreements on decarbonization, drought resilience, and AI-driven flood monitoring. He has authored over 27 publications, focusing on topics like chemical informatics, polymer science, and ontology development.

Abidali Mohamedaliمشاهده پروفایل

مدرس

• Proteomics
• Cancer Biomarkers
• Bioinformatics
• +۳ مورد دیگر

Dr. Abidali Mohamedali is a Lecturer in Leadership, Entrepreneurship, and Global Challenges in Science at Macquarie University, with affiliations to the School of Natural Sciences and Macquarie Medical School. He holds roles as Adjunct Fellow and Academic Casual in the School of Natural Sciences, and has conducted postdoctoral research in cancer proteomics. His expertise spans proteomics, bioinformatics, and colorectal cancer biomarker discovery. He completed his PhD in molecular neuroscience at CMRI and has contributed to projects like the 'Protein Biosignatures for Predicting Recurrence of Stage II Colorectal Cancer.' He also serves as CEO of two businesses and president of Welfare Aid International. Education: BSc (Hons) in Medical Science from Macquarie University (First Class), PhD in Molecular Neuroscience (2011). Research interests include early detection of cancer biomarkers, proteogenomics, and mass spectrometry applications. He collaborates with the ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP) and contributes to the Biomolecular Discovery and Design Research Centre. Key projects involve developing proteomic methods for cancer detection, improving DIA-MS techniques, and analyzing microbial proteomes in COVID-19. His work bridges academic research with entrepreneurial ventures and community engagement.

• Antimalarial Drug Discovery
• Parasitology
• High-Content Imaging
• +۲ مورد دیگر

Distinguished Professor Vicky Avery directs drug discovery research at Griffith University, focusing on antiparasitic agents and cancer therapeutics. Her laboratory develops high-content screening platforms for antimalarial compounds and investigates trypanosomal drug targets. Research spans medicinal chemistry, chemoproteomics, and natural product drug discovery targeting Plasmodium, Trypanosoma, and Leishmania parasites. Recent breakthroughs include novel enzyme inhibitors, quinine-inspired antimalarials, and preclinical candidates for neglected tropical diseases. Leadership includes coordination of the ACRF Centre for Compound Management and international collaborations with Medicines for Malaria Venture. Laboratory resources support high-throughput screening and advanced chemoproteomics capabilities.

Haibo Yuمشاهده پروفایل

استاد

• Computational Chemistry
• Biophysics
• Molecular Simulations
• +۲ مورد دیگر

Haibo Yu is Professor at the University of Wollongong's School of Science, leading research in computational chemistry and biophysics. His group develops theoretical models for biomolecular systems and nanoscale phenomena. Research interests span QM/MM method development, enzyme reaction mechanisms, nanobody engineering, and computer-aided drug design. Recent work validates computational accuracy in biomolecular simulations. Lab activities include ARC-funded projects on hydrogen storage molecules and mentorship of doctoral candidates in molecular modeling.

Albert Ardevol Grauمشاهده پروفایل

پژوهشگر

• Computational Structural Biology
• Molecular Modelling
• Protein Engineering
• +۷ مورد دیگر

Dr Albert Ardevol Grau serves as Team Leader for the Protein and Molecular Modelling team at CSIRO, Australia's national science agency. His work integrates computational and experimental approaches to advance protein engineering and drug design, with specialized focus on therapeutic proteins, antibodies, membrane proteins, and enzyme development for biotechnology applications. His academic background features a PhD in Computational Chemistry (2012) and MSc in Biochemistry and Molecular Biology (2007) from Autonomous University of Barcelona, plus a Chemistry degree (2005) from Ramon Llull University - IQS. His postdoctoral training included EMBO Fellowship at ETH Zürich and Marie Curie Fellowship at Max Planck Institute. Research spans computational structural biology, biomolecular modeling, and biophysics with emphases on de-novo protein folding, statistical mechanics, ML/AI applications, CryoEM refinement, and X-ray crystallography. His methodology bridges theoretical chemistry with practical biotechnology solutions while maintaining active science outreach and teaching commitments. Publication trends reveal expertise in protein dynamics mechanisms and computational method development, particularly in membrane protein function, amyloid interactions, and protein folding simulations across high-impact journals including Science, PNAS, and Nanoscale. Key scientific recognitions include: Marie S. Curie fellowship (EU, 2015-2017) EMBO long-term fellowship (EU, 2012-2014) Pre-doctoral FPU fellowship (Spain, 2009-2012) He currently leads work packages in CSIRO's Ending Plastic Waste Mission while directing computational support for hit-to-lead optimization, virtual docking, and high-throughput screening. His team delivers integrated solutions through advanced modeling techniques including molecular dynamics and machine learning applications. As active First Aid Officer (2022-present) and community science advocate, he extends impact beyond research into workplace safety and public engagement with molecular science.

• Computation Theory and Mathematics
• Distributed Computing
• Information Systems
• +۷ مورد دیگر

David Taniar is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology. He holds a PhD in Computer Science from Victoria University (1997), and prior degrees from Swinburne University of Technology. His research focuses on computation theory, distributed systems, health informatics, and AI applications in healthcare. Taniar has led/co-investigated over 15 projects including digital health interventions, eco-friendly navigation systems, and healthcare data analytics. Current projects include a 2023-2026 initiative on pathology requesting practices in Emergency Departments. He has published 508+ works, spanning medical image analysis, spatial data processing, and cybersecurity. Awards include the 2021 Good Design Award for a hand hygiene management system. Education: Doctor of Philosophy, Computer Science, Victoria University (1997) Master of Applied Science, Computer Science, Swinburne University (1992) Graduate Diploma, Computer Science, Swinburne University (1990) Research Focus: Combines AI/ML with domain-specific challenges in healthcare, transportation, and distributed systems. Recent work addresses disease detection via medical imaging (e.g., glaucoma, diabetic ulcers), spatiotemporal data optimization for eco-routing, and ED data utilization. Key Projects: A digital health intervention to improve pathology requests in Emergency Departments (2023-2026) Eco-friendly navigation using big spatiotemporal data (2023) Actionable clinical data systems for quality care accreditation (2021-2025) Awards & Activities: Recipient of 2021 Good Design Award for healthcare innovation Editor-in-Chief of International Journal of Business Data Communications and Networking (2007) Chief Examiner for multiple IT courses at Monash

• Nanoparticle Technology
• Biomedical Imaging
• Cancer Therapy
• +۳ مورد دیگر

Andrei Zvyagin is an Associate Professor and Honorary Associate Professor at Macquarie University's School of Mathematical and Physical Sciences. He is affiliated with the BioFocus Research Centre and MQ Photonics Research Centre. His research focuses on multifunctional nanomaterials for biomedical applications, including imaging technologies, cancer therapy, and tissue engineering. Key projects include developing biodegradable nanoparticles for photothermal therapy and near-infrared imaging, as well as advanced hydrogel systems for wound healing and nerve repair. He has contributed to over 199 research outputs, with significant work in nanotechnology and theranostics. Projects such as 'Multifunctional nanomaterials for theranostics applications' highlight his commitment to translational medicine. Research interests span nanomaterial synthesis, optical bioimaging, and targeted drug delivery systems. Collaborations include work on quantum sensing platforms like rubyene and applications of machine learning in cancer diagnostics. Recent advancements include deferred registration imaging techniques and protein corona studies for nanoparticle stability. His work bridges material science with clinical challenges in oncology and regenerative medicine. Grants and projects include MQ Photonics initiatives and research on M2 macrophage therapy for tendon repair. He leads teams exploring novel drug delivery systems and 3D-printed biomaterials for neural regeneration. Future directions emphasize AI-driven diagnostics and quantum technologies for medical imaging.