Find Academic Supervisors

• Optical Fibers
• Photonics
• Materials Science
• +7 more

Professor Heike Ebendorff-Heidepriem is a Professor in the School of Physics, Chemistry and Earth Sciences at the University of Adelaide. She serves as Deputy Director of the Institute for Photonics and Advanced Sensing (IPAS) and Director of the Optofab Adelaide Hub within the Australian National Fabrication Facility (ANFF). Her research focuses on advanced optical fiber fabrication, materials science, and photonics applications, including high-precision glass extrusion, exposed-core fibers, and quantum sensing. She leads a multidisciplinary team of over 20 researchers and has secured >$20M in funding, collaborating with global industry and academic partners. Her work spans fiber lasers, mid-infrared photonics, and sensor technologies, with significant contributions to nanomaterial integration and plasmonic processes. She has supervised 12 PhD and 5 HDR students over 15 years, emphasizing mentorship in photonics and materials innovation. Research Interests: Professor Ebendorff-Heidepriem specializes in developing novel optical fibers and glasses for applications such as high-power laser delivery, nonlinear optics, and evanescent field sensing. Her team pioneers fabrication techniques like billet extrusion and ultrasonic milling, enabling structures like suspended nanowire-core fibers and diamond-doped sensors. Key areas include mid-infrared materials (tellurite, fluoride glasses), plasmonic nanoparticle embedded glasses, and portable sensing solutions for mining and biomedical fields. Labs/Teams: IPAS and Optofab Adelaide Hub provide advanced facilities for fiber fabrication, laser development, and materials characterization. Her collaborations include 82 university groups and 30 industry/defense partners, driving commercialization of technologies like gold nanoparticle-based colored glass and diamond-doped fiber sensors.

Quazi MamunView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence
• Internet of Things (IoT)
• +4 more

Dr. Quazi Mamun is an Associate Professor and Higher Degree Research (HDR) Coordinator at the School of Computing, Mathematics and Engineering, Charles Sturt University (CSU). With over 23 years of experience, he is a leading researcher in cybersecurity, AI-driven security, IoT, blockchain, and distributed systems. PhD in Distributed Computing (Monash University, 2007–2011) MSc in Global Information and Telecommunication Studies (Waseda University, Japan) BSc in Computer Science and Engineering (Bangladesh University of Engineering and Technology) His research focuses on AI-driven cybersecurity (machine learning models for threat detection), blockchain and IoT security (lightweight cryptography), and secure smart environments (AI-based smart cities). Recent publications highlight trends in blockchain data retrieval , cross-domain adversarial attacks , and sensor network integration with healthcare . Key research grants include: $5M – Japan Science and Technology Agency (2024–2029) $120K – Connectivity Innovation Network (2023–2026) $180K – Cyber Security CRC (2020–2023) $25K – GSK Global (2022–2023) Scientific honors include: Vice-Chancellor's Award for Excellence (2016) Excellence Award (Research) (2024) Best Paper Awards at IEEE/ACM conferences (2017, 2022) Innovation Networks grant for IoT security (2023) He oversees research groups such as the Data Mining Research Group (DaMRG), Cyber Security Research Group (CSRG), and Advanced Network Research Group (ANRG), while mentoring 8 PhD students and delivering keynote speeches globally.

Kok-Leong OngView profile

Professor

• Business Analytics
• Artificial Intelligence
• Machine Learning
• +5 more

Kok-Leong Ong is a Professor of Business Analytics at RMIT University's College of Business & Law, where he serves as Director of the CoBL Technology Initiative, Director of the Enterprise AI and Data Analytics Hub, and Head of the Department of Information Systems and Business Analytics. With over $1.4 million in research grants, he specializes in translating analytics and machine learning into practical business applications across multiple verticals including e-Commerce, public health, sports, urban studies, marketing, and learning. His research has consistently ranked in the top 25% and 5% of works in their domains according to Altmetric. Professor Ong's research spans Business Analytics, Artificial Intelligence, Machine Learning, and Information Systems, with a focus on making data actionable through analytics-2-business translation, automation, and applications. His work addresses critical challenges in cybersecurity for wearable health devices, ECG-based authentication systems, federated learning privacy, carbon accounting for maritime transport, and AI-driven solutions for vehicle damage detection. He has developed frameworks for operationalizing analytics in business contexts and has made significant contributions to mHealth applications for infant care and breastfeeding support. Among his notable scientific achievements, Professor Ong has received two VC's Teaching Awards and was named one of Australia's Leading Data Academics by CDO Magazine in 2021. He has secured over $1.4 million in research funding and serves on prestigious conferences including KDD and PAKDD. His research has been recognized for its high impact, with many works ranking in the top percentiles of their respective fields. Professor Ong actively supervises numerous research students across diverse topics including human-aligned AI, securing LLMs for financial applications, cyber risks in enterprise AI systems, ECG authentication security, and AI transformation for SMEs. He previously played a key role in establishing Australia's first Business Analytics degree and led La Trobe Business School's analytics program from 2015 to 2019 before joining RMIT in September 2021. Through the Enterprise AI and Data Analytics Hub and his role with RMIT University's Digital3 board, Professor Ong leads initiatives focused on bridging the gap between advanced analytics capabilities and business value creation. His work emphasizes practical implementation of AI and analytics solutions that address real-world challenges across multiple industry sectors.

Debra PhylandView profile

Adjunct Associate Professor

• Speech Pathology
• Voice Medicine
• Laryngology
• +5 more

Dr. Debra Phyland is an Adjunct Associate Professor at the School of Clinical Sciences at Monash Health, Monash University, where she works part-time as Director of Clinical Research for the ENT, Head and Neck Department of Monash Health. With over 36 years of experience as a speech pathologist primarily in acute hospital settings, she combines clinical practice with academic work and performance arts. Her educational background includes: PhD MAppSc (Master of Applied Science) DipEd (Diploma of Education) BAppSc (Bachelor of Applied Science) FSPAA (Fellow of Speech Pathology Australia Association) Dr. Phyland's research focuses on the intersection of voice medicine and performing arts, with particular expertise in neurolaryngology, professional voice disorders, and vocal rehabilitation. Her clinical work bridges the gap between medical science and performance, addressing the unique needs of professional voice users. She has developed specialized assessment and rehabilitation protocols for performers, integrating medical knowledge with practical performance demands. Analysis of her recent publications reveals a strong emphasis on vocal cord dysfunction, diagnostic methodologies, and evidence-based interventions. Her work increasingly incorporates multidisciplinary approaches, bringing together otolaryngology, respiratory medicine, and speech pathology to address complex voice disorders. A significant portion of her research addresses the needs of performing artists, reflecting her dual career as both clinician and performer. Dr. Phyland has received multiple prestigious awards recognizing her contributions: Victorian Green Room Award 'Outstanding Contribution to the Melbourne Stage' (2012) Australian Voice Association award for 'Outstanding contribution to the Australian voice community' (2014) Speech Pathology Australia Association's Elinor Wray Award (2010) Churchill Fellowship (2002) Garnet-Passe Post-Doctoral fellowship (2016-2018) As an active researcher and clinician, Dr. Phyland has secured competitive funding including the Garnett Passe and Rodney Williams Memorial Foundation grant for her project on 'The relationship between vocal load, inflammation and the development of benign laryngeal pathologies' (2016-2018). She serves as PhD supervisor and is accepting new students through Monash University's Supervisor Connect program. Her leadership extends to professional organizations where she previously served as president of the Laryngology Society of Australasia (2014-2017) and currently chairs the Voice Committee for the International Association of Communication Sciences and Disorders. Dr. Phyland co-founded and owns the Melbourne Voice Analysis Centre and serves as principal speech pathologist for Voice Medicine Australia, a team of eight specialists dedicated to laryngology. Her clinical work uniquely combines with her background as a music theatre singer-performer, giving her distinctive insight into the vocal demands of professional performers. She has served as resident voice consultant for the Melbourne Theatre Company for over twenty-two years and for major productions including Frozen, Moulin Rouge, and Six the Musical.

• Applied mathematics
• Numerical and computational mathematics
• Advection-diffusion-reaction models
• +7 more

Dr. Elliot Carr is a Senior Lecturer in the School of Mathematical Sciences at Queensland University of Technology (QUT), Faculty of Science. He holds a PhD in Mathematics from QUT and has been a faculty member since 2015, progressing from Lecturer to his current rank. His research and teaching focus on applied and computational mathematics, with strong interdisciplinary applications. Education: PhD in Mathematics, Queensland University of Technology, 2009–2012 Bachelor of Applied Science (Honours) in Mathematics, QUT, 2008 Bachelor of Mathematics, QUT, 2005–2007 Elliot Carr's research lies at the intersection of applied mathematics and real-world physical systems. His work centers on developing and analyzing mathematical models of advection, diffusion, and reaction processes, particularly in heterogeneous media. He employs both deterministic (PDE-based) and stochastic (random walk) frameworks, contributing to analytical solutions, multiscale modeling, surrogate models, and numerical methods such as finite volume and Newton-Krylov techniques. His research has been applied to diverse fields including groundwater contamination, drug delivery, heat transfer, and tumor spheroid modeling. The latest publications reflect a consistent focus on transport phenomena in complex geometries and heterogeneous environments. Key themes include dual-grid mapping for contaminant transport, analytical modeling of drug release from spherical capsules, thermal diffusivity in shell geometries, and stochastic models of biological systems. His methodological contributions span analytical, numerical, and statistical approaches, demonstrating versatility across applied mathematics. Scientific Awards and Recognitions: JH Michell Medal, ANZIAM (2022) ARC DECRA Fellowship (2015) QUT Outstanding Doctoral Thesis Award (2012) University Medal, QUT (2008) Dean’s Award for top graduate in both Honours and Bachelor programs Keynote and plenary speaker at major conferences including ANZIAM and Forum “Math-for-Industry” Dr. Carr actively supervises PhD and Masters students, with completed and ongoing projects on diffusive transport, tumor modeling, and sports analytics. He has secured competitive research funding, including an ARC Discovery Project on multiscale modeling. His teaching includes computational mathematics, linear algebra, and differential equations, with a focus on MATLAB-based implementation. He is a member of the Australian Mathematical Society (AustMS) and ANZIAM. Research Labs and Teams: While not explicitly tied to a named lab, Carr is part of the broader Applied Modelling and Computation research environment at QUT. He collaborates extensively with researchers such as Ian Turner, Matthew Simpson, and Chris Drovandi, contributing to interdisciplinary teams in mathematical biology, environmental modeling, and statistical computation.

• Statistics
• Sports science and exercise
• Ecological applications
• +7 more

Paul Wu is an Associate Professor in the School of Mathematical Sciences at Queensland University of Technology (QUT), Faculty of Science, where he also serves as an industry research fellow in the strategic partnership between the Centre for Data Science (CDS) and AIS/QAS. He leads the sports systems domain within CDS and applies statistical and machine learning models to complex systems across sports, marine science, and defence sectors. PhD, Queensland University of Technology Master of Engineering Science (Computer and Comm Engineering), Queensland University of Technology Bachelor of Engineering (Electrical and Computer Engineering), Queensland University of Technology His research focuses on Bayesian statistics, dynamic Bayesian networks, state space modelling, and simulation techniques. He works closely with domain experts to solve real-world problems in sports performance, ecological resilience, and human systems. His interdisciplinary work spans sports science , marine ecology , and defence applications . Paul’s recent publications demonstrate a strong trajectory in predictive analytics for elite sports and ecosystem modelling, particularly using Bayesian frameworks. His work on swimming performance prediction has informed national training strategies and contributed to competitive success. He has also advanced methods in clustering, model adaptation, and psychosocial risk assessment. His scientific contributions have been recognized through impactful collaborations with elite sports organizations including the Australian Institute of Sport, Swimming Australia, and the West Coast Eagles. Testimonials highlight his role in transforming data analytics in sports injury recovery and performance optimization. Applied Bayesian models in elite sports decision-making Developed predictive tools for marine ecosystem resilience Collaborated on over 30 industry and government projects Supervises research in complex sports data analytics Paul leads a dynamic research environment focused on translating statistical innovation into practical impact across diverse domains.

Hendra I NurdinView profile

Senior Lecturer

• Quantum Control
• Quantum Systems
• Systems Theory
• +10 more

Dr. Hendra I Nurdin is a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), where he has been a faculty member since 2012. His academic background spans Electrical Engineering and Applied Mathematics with a focus on systems and control theory, with significant research intersections in quantum physics and power engineering. He serves as an Associate Editor for IEEE Control Systems Letters (IEEE L-CSS) starting from January 2024. Dr. Nurdin's research spans quantum systems and control, nonlinear control of microgrids, and neuromorphic computing for nonlinear systems. His work in quantum control intersects with quantum physics while his research on microgrid control intersects with power engineering. His research has resulted in numerous publications across prestigious journals including Nature Communications, Physical Review Research, IEEE Control Systems Letters, and IEEE Transactions on Automatic Control. His recent publications (2020-2025) predominantly focus on quantum reservoir computing, quantum parameter estimation, control of non-Markovian quantum systems, and applications of control theory to energy systems. The research demonstrates a clear trajectory toward practical implementations of quantum computing concepts and advanced control methodologies for both quantum and classical systems. Associate Editor for IEEE Control Systems Letters (IEEE L-CSS) from January 2024 Dr. Nurdin has supervised several PhD students to completion and currently mentors PhD candidate Wen Liu. His research group has produced significant work in quantum control systems, with former students including Wenxing Li, Yihuan Liao, Jiayin Chen, Jiacheng Li, Muhammad Ali, Zhan Shi, and Onvaree Techakesari. He actively seeks new students with strong academic backgrounds for research in his areas of interest, particularly in quantum systems and control. His laboratory work focuses on quantum systems control, quantum reservoir computing, and microgrid control systems. He has developed courses including ELEC9782 Special Topics in Electrical Engineering 2 (Quantum Control) and teaches ELEC4631 Continuous-Time Control System Design.

• Adaptive systems
• Artificial intelligence
• Artificial neural networks
• +6 more

Cara MacNish serves as an Associate Professor in the Department of Computer Science and Software Engineering at The University of Western Australia's School of Physics, Maths and Computing. Her academic role spans computational intelligence research and teaching with interdisciplinary applications in biomedical engineering and materials science. Her research expertise encompasses adaptive systems, artificial intelligence, neural networks, bioinformatics, cognitive science, evolutionary algorithms, machine learning, optimisation, and robotics. These converge in medical image processing (OCT denoising via GANs) and materials analysis (digital image correlation for displacement fields), reflecting her dual focus on algorithmic innovation and real-world engineering solutions. Recent publications demonstrate consistent advancement in two domains: deep learning applications for Optical Coherence Tomography enhancement (using GANs and deep feature loss) and novel digital image correlation techniques for materials science (handling discontinuities and nonlinear behavior). These areas show growing citation impact in medical imaging and fracture mechanics. MacNish has supervised 3 research students and secured 4 competitive grants, including Office for Learning & Teaching projects on engineering education (student experiences and gender inclusivity) and Defence Science and Technology Group funding for red teaming computational tools, alongside university research on evolutionary programming for code analysis. She maintains active collaborations across biomedical optics and materials engineering disciplines, evidenced by co-authorship with clinicians, computer scientists, and mechanical engineers on interdisciplinary projects addressing complex imaging and material behavior challenges.

Veronika KuchtaView profile

Assistant Professor

• Post-Quantum Cryptography
• Mathematical Cryptography
• Blockchain Security
• +3 more

Dr. Veronika Kuchta is an Assistant Professor at Florida Atlantic University's Department of Mathematical Sciences, specializing in post-quantum cryptography and its applications to blockchain. She holds a PhD in applied cryptography from the University of Surrey (2016) and has held roles including Honorary Research Fellow at The University of Queensland (UQ) School of Mathematics and Physics (2020–2022), Research Fellow at Monash University (2018–2020), and postdoc at Université libre de Bruxelles (2016–2018). Education: PhD in Applied Cryptography, University of Surrey, UK (2016) Diploma in Mathematics, Heidelberg University, Germany (2010) Research Interests: Her work focuses on constructing quantum-resistant cryptographic primitives, including lattice-based schemes, zero-knowledge proofs, and their integration into real-world systems like blockchain. She explores topics such as post-quantum verifiable random functions, cryptographic accelerators, and privacy-preserving authentication protocols. Key Projects: Formal Verification of Post-Quantum Cryptographic Primitives (UQ Cyber Seed Funding, 2021–2023) Algorand Centre of Excellence on Sustainability Informatics (2022–2023) Grants & Funding: Noted for contributions to blockchain security and lattice-based protocols, her work is supported by industry and institutional grants, including the Monash University Open Grant for the Algorand Centre of Excellence. Labs/Teams: Collaborates with interdisciplinary teams on cryptographic protocol design and hardware-accelerated cryptography (e.g., TPU-based cryptographic acceleration).

Toby MurrayView profile

Professor

• Cybersecurity
• Formal Methods
• Secure Systems Engineering
• +5 more

Toby Murray is a Professor in the School of Computing and Information Systems at the University of Melbourne, where he serves as Director of the Defence Science Institute and Co-Lead of the Computer Science Research Group. His work bridges formal methods, cybersecurity, and practical system security, with significant contributions to verified security and vulnerability detection. Murray's research focuses on building highly secure computing systems cost-effectively, with expertise in formal verification, information flow security, and vulnerability detection. His current research projects include Verisimilar (Verified, Secure Machine Learning), EDEFuzz (Detecting excessive data exposure in web applications), COVERN (Proving information flow security of concurrent programs), and Time Protection (Proving timing channel freedom for seL4). His work combines theoretical rigor with practical implementation, resulting in multiple open-source tools including SecC, Legion, and Underflow. Murray's recent publications demonstrate a consistent focus on verified security properties across diverse domains, from neural networks to concurrent systems. His work often bridges the gap between formal methods and practical security concerns, with increasing attention to machine learning security and policy implications of technical security measures. His publications span top venues in security, formal methods, and software engineering. Distinguished Paper Award at ICSE 2024 for EDEFuzz work on detecting excessive data exposure in web applications Extensive media commentary on cybersecurity issues including CrowdStrike outage analysis and social media regulation Regular contributions to The Conversation and Pursuit on cybersecurity policy matters Murray has advised numerous PhD students to completion, including Lianglu Pan (EDEFuzz), Zhiyuan Zhang, Mo Zhang, and Renlord Yang. He currently supervises multiple PhD students working on security verification, machine learning security, and web application security. His service includes being Program Chair for CSF'25, Associate Editor for IEEE Security & Privacy and ACM TOPS, and membership in IFIP's WG 1.7 and WG 2.3. His research group has developed multiple significant software tools including SecC (Verified Security for Concurrent C Programs), Legion (Principled Automatic Test Case Generation), and Underflow (Compositional Vulnerability Detection for C Programs), all available under open source licenses. Murray's work often involves discovering and reporting bugs in security analysis tools during his research, demonstrating the practical impact of his verification approaches.

• Network Architecture
• Software Defined Networking
• Internet of Things Security
• +7 more

Professor Vijay Sivaraman is a distinguished academic at the University of New South Wales, where he serves as Professor in the School of Electrical Engineering and Telecommunications within the Faculty of Engineering. With extensive experience in network research, he leads significant projects in network architecture, security, and performance optimization. His educational background includes a PhD in Computer Science from UCLA (2000), an MSc in Computer Science from North Carolina State University (1996), and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi (1994). Professor Sivaraman's research focuses on making communication networks like the Internet more efficient and effective. He develops network architectures and algorithms for improving delivery of services such as video streaming and gaming, with particular expertise in scalable architectures and protocols for optical, wireless, and sensor networks. His work bridges theoretical foundations with practical applications to solve real-world networking challenges. His recent publications demonstrate a strong trend toward network security, particularly in IoT environments, Software Defined Networking applications, and enterprise network monitoring. A significant portion of his work addresses security challenges in the Internet of Things, DNS security, and metaverse network requirements, showing his ability to anticipate and address emerging networking challenges. Awarded the Chorafas Foundation Award in 2000, Professor Sivaraman has secured substantial research funding including an ARC Discovery Project ($405K for 2014-2017) on interactive and scalable media over software defined networks, and a Google Research Award ($63K for 2013) on virtualizing access networks using SDN. He currently supervises 6 students in his lab, with 10 students having already graduated under his guidance. His research group actively works on projects related to Software Defined Networking, security mechanisms for networked IoT devices, and improving Internet service quality using data analytics and artificial intelligence. Professor Sivaraman leads a dynamic research laboratory focusing on network technologies, with particular emphasis on creating practical solutions for real-world networking problems through the integration of theoretical research and hands-on experimentation.

• Communication networks
• Network security
• Software Defined Networks (SDN)
• +7 more

Dr. Bhargavi Goswami is a lecturer at the School of Computer Science, Queensland University of Technology (QUT), with over 14 years of teaching experience in higher education. Her expertise spans communication networks, network security, and software-defined networks (SDN), where she integrates cutting-edge research into postgraduate teaching. Previously, she served as Assistant Professor and Head of Department (HOD) at CHRIST University and Garden City College in India. Education: PhD in Computer Science from QUT; professional certifications including CCNA and CCNP from Cisco. Dr. Goswami's research focuses on communication networks and network security, with a particular emphasis on Smart Grid Communication Networks, Software Defined Networks (SDN), Cryptography, Cybersecurity, Mathematical Modeling, and Congestion Control in Data Networks. Her current work explores the intersection of Quantum Computing, Machine Learning, and Network Programming to enhance communication security and efficiency. Her 15 most recent publications highlight trends in Smart Grid , SDN , and network security . Key subfields include latency optimization , load balancing , handoff methods , Wi-Fi Mininet , and Beacon controller scalability . Dr. Goswami has led multiple funded research projects, including work on low-latency communication for Smart Grids and P4-based network policies in SDN. She holds two patents and has authored monographs in her field. Her technical certifications and industry engagement underscore her practical contributions to communication systems and network security. She emphasizes ethical technology development and societal impact in her research and teaching.

Chris QuinnView profile

Senior Lecturer

• Veterinary Anaesthesia
• Critical Care
• Peri-operative Medicine
• +7 more

Chris Quinn is a Senior Lecturer in Veterinary Anaesthesia and leader of the Anaesthesia Team at the School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW. He is a specialist veterinary anaesthetist registered with the NSW Veterinary Practitioners Board, with dual board certification from the European and American Colleges of Veterinary Anaesthesia and Analgesia (DECVAA, DACVAA). He also holds membership in the Australian and New Zealand College of Veterinary Scientists (MANZCVS) in both Veterinary Anaesthesia and Critical Care and Medicine of Horses. His research interests are centered on improving peri-operative safety, particularly in relation to renal function and haemodynamic stability. Key areas include: Prevention of acute kidney injury (AKI) in surgical animals Management of hypotension during anaesthesia Renal monitoring in dogs and horses Critical care of large herbivores and small animals Recent publications show a strong focus on evidence-based protocols for hypotension treatment, urinary catheter complications in horses, and renal tubular injury post-desexing in dogs. His work combines clinical research with direct application in teaching and hospital practice. Notable scientific recognition includes an external award in 2017 for research on the incidence of AKI in dogs undergoing routine surgery. Determining the incidence of perioperative acute kidney injury in dogs undergoing routine surgery (2017, External Award) Chris Quinn has supervised honours students, including R. Rotne, on projects related to glomerular filtration rates and hydration effects on haemodynamics. His research is supported through institutional and professional engagement, including active membership in the Australian and New Zealand College of Veterinary Scientists, where he also serves as an examiner. He leads the Anaesthesia Team at CSU, integrating teaching, clinical service, and research in both equine and small animal hospitals.

Wenyi YanView profile

Professor

• Mechanical Engineering
• Materials Science
• Railway Engineering
• +7 more

Prof. Wenyi Yan is a Professor in the Department of Mechanical & Aerospace Engineering at Monash University. His career includes research fellowships in Europe, roles at multiple Australian universities, and leadership in over 14 Australian Research Council (ARC) grants since 2006. He has supervised 19 PhD and 5 MSc graduates, currently mentoring 12 PhD students. Education: B.Eng. (Hons) from Beijing University of Aeronautics and Astronautics (1989), M.Sc. (1992), and Ph.D. (1995) from Tsinghua University. Research focuses on material behavior under cyclic loading, railway infrastructure optimization, laser cladding repair, and additive manufacturing. Key areas include fracture mechanics, tribology, and computational modeling for rail systems. Notable projects: Development of machine learning tools for structural analysis (2025–2028), ARC Hub for Smart Process Design (2024–2029), and rail component repair using laser cladding. His work addresses UN SDGs related to sustainable infrastructure and innovation. Awards: While no specific prizes are listed, his extensive grants and publications (3 book chapters, 176 journals, 68 conferences; h-index 42) reflect his impact. Current grants total over 10 projects, emphasizing industry collaboration with Rio Tinto, ANSTO, and others.

Soo Wooi KingView profile

Senior Lecturer

• Machine Learning
• Network Security
• Wireless Networks
• +3 more

Soo Wooi King serves as a Senior Teaching Fellow at Monash University Malaysia's School of Information Technology, contributing to both academic instruction and research in information technology systems. His professional profile centers on practical applications of computational methods in security and network optimization. His research spans Machine Learning, Network Security, Wireless Networks, and Natural Language Processing, with emphasis on implementing Naive Bayes classifiers for real-world problem solving. Key application areas include malware detection systems, news credibility assessment tools, and telecommunications network management solutions where algorithmic precision directly impacts operational reliability. Publication trends from 2017-2022 reveal consistent specialization in machine learning deployment across cybersecurity and networking domains. His highly cited 2018 survey on wireless load-balancing (18 Scopus citations) demonstrates significant field impact, while recent malware classification research shows evolving technical sophistication in feature engineering approaches. Work consistently bridges theoretical algorithms with industry-specific implementation challenges.