Dr. Anne Ozdowska is a Research Fellow in the School of Computing at The Australian National University (ANU). Her work focuses on heuristic evaluation methods for design, inclusive technologies, and game design principles. She holds a PhD in Human-Computer Interaction from Queensland University of Technology (QUT) awarded in 2019, alongside a BCompSc degree. Her research emphasizes applying Universal Design and game mechanics to create accessible technologies. She is registered to supervise research students in these areas. Key research interests include: Heuristic evaluation frameworks for early design validation Inclusive game design for diverse audiences Augmented Reality applications in health and education Assistive technologies for neurodiverse populations Publications span topics from cross-platform multiplayer game design (2025) to foundational studies on screen time effects in young children (2012). Her work bridges academic research with practical applications, including commercialized software from her doctoral research. Professional contributions include developing GameFlow heuristic frameworks and contributing to educational interventions for students with autism spectrum disorder. Details on grants and lab affiliations are not explicitly stated in available materials.
Dr. Ying He is a Senior Lecturer at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). Her research focuses on wireless communication networks, particularly integrating machine learning with satellite and terrestrial systems. She holds a BEng from Beijing University of Posts and Telecommunications (2009) and a PhD from UTS (2017). Prior to her academic role, she worked on TD-LTE chip design at the Chinese Academy of Sciences. Affiliations : Faculty of Engineering and Information Technology Global Big Data Technologies Centre (GBDTC) Education : BEng in Telecommunications Engineering, Beijing University of Posts and Telecommunications (2009) PhD in Engineering (Telecommunications), UTS (2017) Her research interests include satellite communication (GEO-LEO integration), spectrum sharing, vehicular communication, and applying machine learning to physical layer algorithms. Notable contributions include optimizing beam design in LEO networks and developing secure IoT systems. She supervises PhD/Master’s students and teaches courses like CCNA and capstone projects. Funded projects span satellite networks, IoT security, and supply chain tracking. Recent grants include SmartSat CRC initiatives and collaborations with industry partners like Intel and Ericsson. Her work addresses challenges in 6G, UAV-enabled computing, and resilient quantum algorithms.
Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.
Professor Elias Aboutanios is a distinguished academic at the University of New South Wales (UNSW), serving as Professor in the School of Electrical Engineering and Telecommunications. With a career spanning over two decades in academia and research, he has established himself as a leading expert in signal processing, radar systems, satellite technology, and NMR spectroscopy. Professor Aboutanios earned his BE in Electrical Engineering from UNSW in 1997 and completed his PhD from UTS in 2002, with research focused on frequency estimation for communications with low earth orbit satellites. Following his doctoral studies, he conducted postdoctoral research at the Institute for Digital Communications at the University of Edinburgh from 2003 to 2007, specializing in space-time adaptive processing for radar target detection. He joined UNSW as a senior lecturer in 2007, was promoted to associate professor in 2019, and achieved the rank of Professor in 2022. His research interests span a broad spectrum of signal processing domains including signal and image processing, parameter estimation, array signal processing, statistical signal processing, positioning and localization, radar and sonar signal processing, NMR signal processing, and space systems. Professor Aboutanios has developed significant expertise in nuclear magnetic resonance spectroscopy, global navigation satellite systems, radar target detection, biologically inspired signal processing, power systems and smart grids, and theoretical signal processing. His work bridges theoretical foundations with practical applications across multiple engineering disciplines. Professor Aboutanios's recent publications demonstrate a strong focus on integrated sensing and communication systems, radar technology, satellite applications, and advanced signal processing techniques. His research shows a clear trajectory toward dual-function radar-communication systems, massive MIMO architectures, CubeSat technology for air traffic monitoring, and innovative approaches to NMR spectroscopy. His work consistently addresses challenging problems in signal parameter estimation, adaptive processing, and system design across multiple application domains. Professor Aboutanios has made significant contributions to engineering education, having developed new courses in electrical engineering design and established the master's program in satellite systems engineering. His educational innovations focus on teaching signal processing through frequent and diverse design experiences, enhancing student learning outcomes in technical subjects. He has led significant space projects including UNSW's involvement in the European QB50 project and the UNSW-EC0 satellite mission, which successfully launched in 2017. As a member of the Space Industry Association of Australia's Legislation Working Group, he has contributed to shaping space policy through multiple submissions to the Australian Government's review of the Space Activities Act.
S. Alexander Haslam is a Professor of Social and Organizational Psychology and Laureate Fellow at the University of Queensland's School of Psychology, where he maintains an active research program with over 300 peer-reviewed articles and 15 authored or edited books. He currently serves as Associate Editor of The Leadership Quarterly and previously held the Chief Editor role for the European Journal of Social Psychology . His work bridges academia and real-world application through interventions like Groups 4 Health and More Than Sport, targeting mental health via social identity principles. Haslam's research centers on social identity theory and group processes across organizational, health, and social contexts. He examines how shared identities influence leadership, mental health outcomes, and collective resilience, with key applications in workplace stress, athletic performance, retirement transitions, and emergency response interoperability. His social identity model of leadership challenges traditional views by emphasizing group-based influence, while interventions such as social identity mapping directly address loneliness through community identification. The 2025 articles reveal three dominant trends: (1) mental health applications in high-stress occupations (construction, emergency services), (2) identity leadership in sports across cultures, and (3) organizational identity in crisis scenarios. Methodologically, they feature randomized controlled trials, longitudinal designs, and cross-national collaborations—particularly in Japan and Europe—validating the social identity approach for loneliness reduction, team performance, and ethical behavior. Common threads include psychological safety, group membership multiplicity, and intervention scalability. Scientific awards include Distinguished Contribution to Psychological Science from both the Australian Psychological Society and British Psychological Society, plus his 2022 appointment as a Member of the Order of Australia for 'significant service to higher education, particularly psychology, through research and mentoring.' While specific grant details are absent, his work is embedded in major collaborative projects like the Global Identity Leadership Development Project and pandemic response studies. He mentors researchers globally, with his leadership evident in large-scale cross-cultural teams (e.g., 25+ co-authors on Capitol attack analysis). Policy impact is demonstrated through advisory roles in social prescribing and mental health frameworks. Haslam co-leads the Groups 4 Health intervention team and develops tools including the Identity Leadership Inventory–Youth (ILI-Y) and Visual Identity Leadership Scale (VILS). His research group collaborates across sports, clinical, and emergency domains, with ongoing projects on psychedelic therapy, retirement transitions, and AI-human interaction. The BBC Prison Study remains a foundational reference for his organizational identity work.
Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.
Dr Daniel Skorich is an Adjunct Lecturer at the School of Psychology, The University of Queensland. His research focuses on social psychology, cognitive processes, and autism. He has collaborated extensively with scholars like S. Alexander Haslam, Tegan Cruwys, and Craig McGarty. Key research areas: self-categorization theory, autism, stereotype threat, hazard perception, central coherence, and social identity. Recent publications analyze autism through self-categorization frameworks, cognitive processing differences, and social dynamics. His work spans theoretical contributions and applied studies on behavior change, such as smoking cessation after plain packaging. He has published in journals like Psychological Review , Journal of Autism and Developmental Disorders , and Addictive Behaviors Reports . No scientific awards or student advisement details were found in the provided texts.
Dr. Beeshanga Abewardana Jayawickrama is a Senior Lecturer and Data Science Engineering Course Director at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a BEng in Telecommunications Engineering (Hons I) and a PhD in Electronic Engineering (Wireless Communications) from Macquarie University, Sydney, Australia, completed in 2011 and 2015 respectively. As a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), he maintains active research and industry collaborations. His educational background includes: BEng in Telecommunications Engineering (Hons I), Macquarie University (2011) PhD in Electronic Engineering (Wireless Communications), Macquarie University (2015) Dr. Jayawickrama's research focuses on cutting-edge wireless communication technologies with particular emphasis on 5G/6G Physical Layer signal processing algorithms, Machine Learning techniques for Physical Layer signal processing, Ultra-Reliable Low-Latency Communications, Non-Terrestrial Networks, Compressed Sensing (Sub-Nyquist Sampling), and spectrum sharing. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and industry collaborations. He has published over 40 prestigious conference and journal papers while developing algorithms that have been incorporated into commercial 5G base stations. Analysis of his recent publications reveals a strong focus on satellite communications, particularly cognitive GEO-LEO satellite networks, where he explores spectrum sharing, beam design, and interference management. His research increasingly integrates machine learning techniques with traditional signal processing approaches, especially for spectrum sensing and channel estimation in next-generation wireless systems. The trend shows growing emphasis on practical implementation and experimental validation of theoretical concepts. His scientific recognition includes: Macquarie University Medal in Engineering Vice-Chancellor's Commendation for Academic Excellence Outstanding Teacher Award (2021) Multiple competitive scholarships from Macquarie University and CSIRO In terms of teaching and supervision, Dr. Jayawickrama has taught numerous undergraduate and postgraduate subjects including Advanced Telecommunication Engineering, 4G/5G Mobile Technologies, Communication Systems, and Engineering Research Thesis. His current research is supported by significant grants including the AI-SSPCAS project (CSIRO), Smart Flood and Storm Intelligence Sensing Initiative (NSW Department), and CogSat: Cognitive Satellite Radio (SmartSat CRC). Previously, he has secured research funding from Intel Corporation and Nokia Research Centre. Dr. Jayawickrama has held leadership roles including Course Director for Data Engineering since 2021 and UTS IEEE Student Branch Counsellor from 2017-2020. His industry experience includes research positions at Ericsson in Sweden (working on 5G New Radio receiver algorithms) and Intel Labs in the USA (working on Licensed Shared Access and Citizens Broadband Radio Service).
Dr. Gayathri Kongara is a Senior Lecturer and Director of International ECSE at the Department of Electrical and Computer Systems Engineering, Monash University. She specializes in wireless communications, 5G technologies, and software-defined radio (SDR) platforms. Her research focuses on waveform design (e.g., PCC-OFDM, Filtered OFDM), MIMO systems, and hardware implementation of 5G candidates. She has led course design for undergraduate and postgraduate units in wireless communications and telecommunications, including labs on VoIP quality and TCP/IP protocols. Her teaching includes ECE 5884/6884 (Wireless Communications), ECE 4045/5145 (Network Performance), and ECE 2131 (Electrical Circuits). She has supervised numerous student projects on 5G radios, spectrum sharing, and SDR applications. Her work integrates theoretical research with practical SDR implementations, addressing challenges like hardware nonlinearities and time/frequency offsets. Key publications span 5G waveform comparisons, relay-optimized wireless systems, and MIMO equalization techniques. Her contributions bridge academic innovation and industry-relevant solutions in telecommunications.
Professor Alex Haslam is a leading scholar in Social and Organizational Psychology at the University of Queensland, Australia. With a career spanning decades, he has made significant contributions to understanding group and identity processes across organizational, social, and clinical contexts. His work includes over 300 peer-reviewed articles and 15 books, such as The New Psychology of Leadership (2020) and The New Psychology of Health (2018). He serves as Associate Editor of The Leadership Quarterly and has held editorial leadership roles at the European Journal of Social Psychology . Education: Bachelor (Honours) from University of St Andrews (1990), PhD from Macquarie University (1997) His research spans four major impact areas: (1) A new psychology of leadership focusing on shared identity as a foundation for influence, (2) The glass cliff phenomenon examining gender dynamics in crisis leadership appointments, (3) The Social Cure framework for health-enhancing group membership, and (4) The BBC Prison Study reinterpreting tyranny through engaged followership rather than blind conformity. His work has been recognized with awards from the Australian Psychological Society, British Psychological Society, and the International Leadership Association. Recent publications (2025) demonstrate his ongoing influence in domains ranging from construction workers' mental health to emergency response team dynamics. His 5R Leadership Development Program has been adopted globally, and he remains actively engaged in mentoring through both formal supervision and collaborative research initiatives.
Abigail Lewis is a Senior Lecturer (Clinical Education) at Edith Cowan University’s School of Medical and Health Sciences. She serves as Clinical Coordinator for all placements in the Bachelor of Speech Pathology program and teaches units including SPE2210 Impact of Communication and Swallowing Disorders, SPE1101 Professional Standards and Competencies, and SPE4244 Disability and Communication. Education: Graduate Certificate of Higher Education (Edith Cowan University, 2012) Master of Health Science (Developmental Disability) (University of Sydney, 2011) Bachelor of Medical Science (Speech) (UK, 1989) Her research focuses on clinical education, professional identity development in speech pathology students, simulation-based learning, ePortfolios for competency development, reflective supervision training, and AAC implementation. She has published in journals such as Journal of Teaching and Learning for Graduate Employability , Journal of Clinical Practice in Speech-Language Pathology , and Journal of Interprofessional Care . Scientific Awards: HERDSA Fellowship (2015) OLT Citation for Outstanding Contributions to Student Learning (2017) Vice-Chancellor’s Staff Award (2013) Executive Dean’s Award (2012) WA Clinical Supervision Awards Finalist (2015) ECIA Excellence Award (2009) She has secured grants from AGOSCI Inc ($1,000, 2019), Speech Pathology Australia ($52,338, 2017), and Health Workforce Australia ($22,796, 2012). Her clinical work spans 25+ years in the UK and Australia, including senior roles at Therapy Focus (autism specialist, clinical standards officer).
Dr. Quynh Ngo is a Postdoctoral Research Fellow in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), within the Faculty of Engineering and Information Technology. Her research focuses on satellite networks, vehicular ad-hoc networks (VANETs), IoT networks, cybersecurity, and machine learning applications in wireless communication. She holds a PhD in Computer Science from La Trobe University (2023), an M.Sc. in Telecommunications from Vietnam National University (2016), a B.Sc. in Electrical Engineering from California State University (2013), and a B.Eng. in Mechanical Engineering from Vietnam National University (2008). Her doctoral thesis was nominated for the Nancy Millis Award for exceptional research. Her work addresses critical challenges in 6G satellite integration, including intersystem interference in GEO-LEO networks, Doppler shift mitigation, and spectrum sensing. She employs machine learning and deep reinforcement learning to optimize beam design, power allocation, and resource management. Dr. Ngo has been awarded scholarships and grants from NASA, the Norwegian-Vietnamese Industrial & Infrastructure Safety Consortium, and La Trobe University. She has over five years of teaching experience in electronics, communications, and cybersecurity, and actively serves as a reviewer for journals such as IEEE Transactions on Communications and conferences like the IEEE International Symposium on Communications and Information Technologies. Education: PhD in Computer Science, La Trobe University (2023) M.Sc. in Telecommunications, Vietnam National University (2016) B.Sc. in Electrical Engineering (Magna Cum Laude), California State University (2013) B.Eng. in Mechanical Engineering, Vietnam National University (2008) Key Research Themes: Satellite-terrestrial hybrid networks Intelligent non-terrestrial networks (NTN) Cybersecurity in wireless systems Machine learning for network optimization Awards: NASA-JPL Undergraduate Scholar La Trobe University Postgraduate Research Scholarship Net Zero Scholarship Advising & Grants: Focuses on funded projects related to vehicular ad-hoc networks, IoT, and non-terrestrial networks Experience in securing research grants and industry collaborations
Dr. Loai Albarqouni is an NHMRC Emerging Leader Fellow and Assistant Professor at Bond University's Faculty of Health Sciences & Medicine, affiliated with the Institute for Evidence-Based Healthcare. He holds an MD from Al-Quds University, an MSc in Clinical Epidemiology from Ludwig Maximilian University of Munich, and a PhD in Evidence-Based Practice from Bond University. His research focuses on evidence-informed decision-making, non-drug interventions, and addressing overdiagnosis and overuse of healthcare services in limited-resource settings. Dr. Albarqouni's expertise spans clinical epidemiology, evidence synthesis, shared decision-making frameworks, and public health strategies. He has contributed to studies on dietary interventions for mental health, generative AI in evidence synthesis, and optimizing healthcare delivery post-pandemic. His work emphasizes improving healthcare efficiency and reducing low-value medical practices globally. Key scientific contributions include systematic reviews on salt substitution for cardiovascular outcomes, Mediterranean diet efficacy, and barriers to non-drug interventions in primary care. He has also explored the impact of timing for meals and fasting strategies on metabolic health. Awarded the NHMRC Emerging Leader Fellowship, his research aligns with UN Sustainable Development Goals related to health equity and quality education. Dr. Albarqouni actively participates in academic activities like organizing systematic review workshops and collaborates internationally on evidence-based practice initiatives.
Dr. Faycal Bouhafs is a Senior Lecturer at the School of Systems & Computing , UNSW Canberra . His research focuses on performance and reliability in wireless communication networks, with expertise in programmable networks, 5G/6G architectures, and IoT security. He leads initiatives in radio resource optimization and physical-layer security using software-defined approaches. Research Interests: Dr. Bouhafs investigates: Programmable wireless networks for dynamic resource allocation Beyond 5G/6G infrastructures supporting massive IoT deployments Security frameworks for cyber-physical systems and IoT ecosystems AI-driven optimization of radio access and network management Publication Focus: Recent works (2020-2025) demonstrate strong emphasis on: Software-defined wireless networking (SDWN) for spectrum sharing Physical-layer security via jamming and deep learning 6G resource optimization and IoT scalability Practical implementations using off-the-shelf equipment
Professor Irina Voineagu is an Associate Professor at the University of New South Wales (UNSW) within the School of Biotechnology and Biomolecular Sciences. Her research focuses on molecular genetic mechanisms underlying neurodevelopmental disorders using functional genomic approaches in human brain tissue and neuronal models. She leads the Functional Neurogenomics Group and maintains an active research program with consistent high-impact publications. Her research interests center on molecular genetics of brain disorders , particularly autism spectrum disorders and intellectual disability. Through transcriptome analysis, she investigates convergent molecular pathways, circular RNA biology, and genomic instability mechanisms. Her work bridges basic molecular biology with clinical neuroscience, identifying shared pathological mechanisms across neurodevelopmental conditions using post-mortem brain tissue and iPSC-derived neuronal models. Analysis of her 15 most recent publications reveals strong emphasis on transcriptomic regulation in neurodevelopment , with particular focus on circular RNAs, single-cell resolution mapping, and cross-species evolutionary comparisons. Her work consistently identifies convergent molecular pathways across diverse neurodevelopmental conditions, demonstrating how different genetic lesions lead to common pathological endpoints. Australian Academy of Science Gani Medal (2018) UNSW Scientia Fellowship (2017) Lorne Genome Women in Science Award (2017) Biological Psychiatry Australia Aubrey Lewis Award (2015) ARC Development Early Career Award (2013) Simons Foundation top 10 autism papers (2015) NARSAD Young Investigator Award (2012) Autism Speaks top 10 papers (2011) Professor Voineagu's research program is supported by major competitive grants including ARC and NHMRC funding. Her laboratory employs cutting-edge genomic technologies to dissect gene regulatory networks in the developing brain. The Functional Neurogenomics Group maintains collaborations with international consortia studying autism genetics and brain development. The Voineagu Lab operates within UNSW's neuroscience research ecosystem, utilizing advanced genomic facilities and collaborating with clinical researchers to translate molecular findings into potential therapeutic targets for neurodevelopmental disorders. Her team combines computational biology with experimental validation to characterize disease mechanisms at unprecedented resolution.
![](https://bond.edu.au/profile/"https://bond.edu.au/sites/default/files/styles/quote_portrait/public/profile-images/loai-albarqouni.jpg?h=55541bb6&itok=qre8uxju")
