Supriya Supriya is a Lecturer in the Department of Design and Creative Technology at Torrens University Australia, affiliated with the Centre for Artificial Intelligence Research and Optimisation (AIRO). She holds a Ph.D. in Information and Mathematical Science from Victoria University Melbourne (2020) and master's and bachelor's degrees in Computer Science and Information Technology from Punjab Technical University, India (2014 and 2010). Her research focuses on health informatics, biomedical signal analysis (particularly EEG signals), machine learning, and artificial intelligence. Key areas include癫痫 detection, sleep stage classification, and the application of complex networks and graph-based techniques for medical diagnostics. She has also contributed to deep web data extraction and classification. Supriya has published extensively in reputable journals like IEEE Transactions and conferences, with notable works on EEG-based epilepsy detection and complex network frameworks. Her research aligns with UN Sustainable Development Goals related to education and innovation. She currently supervises PhD students in real-time biomedical signal analysis systems. Her technical expertise includes programming in MATLAB, C++, C#, and Python, and she emphasizes empowering women in STEM fields.
Dr. Ammar Alazab is a senior Cybersecurity Lecturer at Torrens University Australia, affiliated with the Design and Creative Technology College and the Centre for Artificial Intelligence Research and Optimisation (AIRO). He is actively accepting PhD students in areas such as Enhancing Cyber Threat Detection via Machine Learning and Federated Learning for Secure Cyber Threat Intelligence Sharing. With over 60 research publications and 50+ academic/industry talks, his work bridges AI and cybersecurity, focusing on malware analysis, IoT security, and cybercrime prevention. Education: PhD (Computer Science), Deakin University (2010–2014) Master (Computer Networking), Amman Arab University (2002–2004) Bachelor (Information Technology), Al-Balqa Applied University (1997–2001) Research Interests: Data Science (Hyper-heuristics, Evolutionary Computation), AI for Cybersecurity, IoT Security, Malware Analysis, Blockchain, VR/AR Applications. His work contributes to UN Sustainable Development Goals related to education and innovation. Advising/Grants: Supervises PhD projects in AI-driven cybersecurity and privacy-preserving analytics. No grants explicitly listed in the provided text. Labs/Teams: Leads research within the AIRO Centre, collaborating on topics like prompt attack taxonomy and federated learning defense strategies.
Eleni Tzouramani is a Senior Lecturer in the School of Business and Creative Industries, focusing on transformative educational practices and organizational dynamics. Her work bridges academic research with practical policy implications, particularly in crisis management among women academics and remote work frameworks. She co-led the Digital Maieutic Project, integrating AI and Universal Design for Learning principles, for which her team received the UKAIS Teaching Innovation Grant (2024). Her research interests span spirituality's role in organizational cultures, leadership development, and multimodal learning strategies. She actively contributes to parliamentary policy discussions, submitting evidence on home-based working for the UK House of Lords. Tzouramani has presented at international forums on topics like AI ethics in education and leadership navigation during transitional phases. She currently oversees a Knowledge Transfer Partnership in leadership development and collaborates with institutions to design inclusive educational frameworks.
Roles & Affiliations: Dawit Yimenu is an Assistant Professor of Pharmacy at the University of Gondar, Ethiopia, affiliated with the School of Allied Health and the Centre for Optimisation of Medicines. He has held academic positions including Assistant Lecturer (2015–2018), Lecturer (2018–2022), and Assistant Professor (2022–present). He is pursuing a Ph.D. at the University of Western Australia under a prestigious scholarship. Education: Bachelor's in Pharmacy (University of Gondar, 2015) MSc in Pharmaceutical Supply Chain Management (Jimma University, 2018) Ph.D. Candidate (University of Western Australia, ongoing) Research Interests: Focuses on optimizing medicines use through pharmacoepidemiology and pharmacy practice. Key areas include medicines evaluation, polypharmacy, deprescribing, and healthcare system factors impacting medication safety. His work aligns with UN SDG 3 (Good Health and Wellbeing) and SDG 4 (Quality Education). Publications Trends: Over 25 peer-reviewed articles, emphasizing cross-sectional studies in Ethiopia. Topics include vaccine side effects, antibiotic prescribing patterns, pandemic preparedness, and pharmacist roles in acute poisoning management. Recent work highlights community pharmacy’s critical role in public health crises. Awards: 2022 University of Western Australia International Fee Scholarship 2022 University Postgraduate Award Advocacy & Grants: Active in curriculum development, ethics committees, and research supervision. His grants support studies on healthcare system factors affecting medication use in older adults. Labs & Teams: Collaborates with the Centre for Optimisation of Medicines and interdisciplinary teams addressing global health challenges.
Dr. Xin Ma is an Associate Professor of Operations and Supply Chain Management at Monash University's Department of Management. He previously held a Lecturer position at the University of Exeter (2017–2018). He obtained his PhD in Operations Management from The Hong Kong Polytechnic University in 2017. His research focuses on platform operations, behavioral operations, data-driven prescriptive models, and sustainable operations, with notable contributions to journals like Manufacturing & Service Operations Management and European Journal of Operational Research . He has received prestigious awards including the 2021 Dean's Award for Early Career Research and the 2018 Decision Sciences Journal's Most Significant Contribution Award. Dr. Ma leads collaborative research projects such as 'Optimising Australia’s Electricity System: The Role of Blockchain Technology' (2024–2025) and 'Building Cyber Resilience in Fiji' (2025–2026). He serves as Department Editor for IEEE Transactions on Engineering Management and editorial roles for multiple journals. His work addresses UN Sustainable Development Goals related to sustainable cities and communities, climate action, and responsible consumption. Major grants include CRC-P industry grants and leadership in Algorand Centre of Excellence projects. He advises PhD students in operations research, management science, and industrial engineering, emphasizing technical rigor and real-world impact.
Dr. Amirhossein SADOGHI is an Assistant Professor in the Finance and Accounting Department at Rennes School of Business. He holds a Doctor rerum politicarum (Dr. rer. pol.) in Finance from Frankfurt School of Finance and Management, alongside Master’s degrees in Statistics and Data Mining (Linköping University) and Industrial Engineering (Linköping University). His research focuses on Machine Learning applications in Finance, Systemic Risk, Network Analysis, and High-Frequency Trading. He has contributed to interdisciplinary fields such as econometrics, numerical optimization, and text mining. Education: PhD in Finance, Frankfurt School of Finance and Management Master of Statistics and Data Mining, Linköping University Master of Industrial Engineering, Linköping University His work experience includes a Postdoc Fellowship in Stuttgart (2017–2019) and teaching/research roles at Frankfurt School (2012–2017). He is affiliated with SIAM, IMS, and other academic societies. His research articles address topics like optimal liquidation strategies in illiquid markets and systemic risk contagion in payment systems. Collaborations span institutions like the Institute Louis Bachelier and Financial Management Association Europe.
Greg Scutt is a Clinical Principal Lecturer in the Centre for Lifelong Health , School of Applied Sciences at the University of Brighton . Holding a PhD in neuroscience and ageing and postgraduate clinical pharmacy qualifications, he integrates laboratory pharmacology with translational clinical research to improve medicines use in older adults. Education: PhD, “Age-related changes to ionic currents and excitability in the cerebral giant cells of the pond snail Lymnaea stagnalis ” – University of Brighton (2012) Diploma in Clinical Pharmacy Practice – University of Brighton (2004) MPharm – University of Bath (1999) Research Focus: Dr Scutt’s work centres on pharmacogenomics and ageing . He investigates how genomic variation influences drug efficacy and adverse reactions, particularly in older people. Laboratory studies explore Nrf2/Keap1 signalling and antipsychotic-induced metabolic toxicity, while clinical projects include genotype-guided antidepressant prescribing and prediction of adverse drug reactions in the elderly. He retains an active interest in neuroscience of ageing , using the molluscan model Lymnaea stagnalis to dissect age-related changes in learning and memory, and supervises undergraduate projects in this area. Scientific Output: Since 2013 he has published nineteen research outputs spanning pharmacokinetics, COVID-19 epidemiology, Alzheimer’s pharmacogenetics, and pharmacy education. These works collectively advance precision dosing, vaccine impact modelling, and understanding of genetic determinants of drug response. Grants & Collaborative Projects (selected): Principal Investigator – “Adverse drug reactions in older people” (2015) Co-Investigator – “Antipsychotics and beta cell toxicity” (2014-2017) Co-Investigator – “Warfarin sensitivity in patients undergoing cardiothoracic surgery” (2014-2016) Co-Investigator – “Hypotensive effect of novel oral anticoagulant agents” (2015-2018) Co-Investigator – “Combating disorders of CNS myelination” (2015-2017) Supervision & Mentoring: Dr Scutt presently supervises PhD, MSc and MPharm students on projects ranging from antipsychotic-induced diabetes mechanisms to drug-drug interactions and pharmacogenetic risk prediction. He welcomes interdisciplinary research proposals that bridge laboratory, clinical and computational approaches in ageing and drug-response science.
Ieva Nokalna-Spale serves as an Acting Assistant in the Department of Paediatrics and Department of Biology and Microbiology at Rīga Stradiņš University in Latvia. Her research focuses on pediatric infectious diseases, particularly the diagnostic approaches and management of febrile children in emergency settings across Europe through the PERFORM consortium (Personalised Risk assessment in febrile children to optimise Real-life Management across the European Union). Her research interests center on improving diagnostic accuracy for differentiating bacterial from viral infections in children, optimizing antibiotic stewardship, and developing clinical prediction models for serious bacterial infections. She has made significant contributions to understanding procalcitonin use, host protein signatures, and antimicrobial prescribing patterns in pediatric emergency care across multiple European countries. Nokalna-Spale's publication record shows consistent output since 2018, with a notable increase in 2023-2025, including articles in high-impact journals such as The Lancet Digital Health, Clinical Infectious Diseases, and Archives of Disease in Childhood. Her work demonstrates a clear trajectory toward developing evidence-based approaches for managing febrile children while addressing antimicrobial resistance concerns. Her research has received attention across academic platforms, with multiple publications garnering Mendeley readership and social media mentions, particularly her work on antimicrobial stewardship challenges which was referenced in policy discussions. As an active member of the PERFORM consortium, she collaborates with researchers across Europe to address critical gaps in pediatric infectious disease management, with her work directly contributing to UN Sustainable Development Goal 3.2 (Reducing child mortality through improved clinical medicine).
Dr. Hua Zhong is an Associate Professor at the School of Construction, Property and Surveying, London South Bank University. Her expertise spans sustainable building technologies, energy efficiency, urban sustainability, and fire safety engineering. She leads interdisciplinary research integrating numerical modelling, CFD simulations, and practical applications to address challenges in the built environment. Key areas include urban utility tunnel resilience, solar chimney ventilation, and smoke management in metro stations. Her research is supported by grants such as the NERC-CDE Network (digitalisation and green infrastructure) and EPSRC projects on rehabilitation technologies and diversity initiatives in engineering. She is a Fellow of the UK FST Future Leaders and UUKRI Peer Review College, and actively contributes to professional bodies like CIBSE, ASHRAE, and the British Standards Institution. Dr. Zhong has published over 47 articles, focusing on topics like zero-energy buildings, fire dynamics in tunnels, and IoT-driven energy efficiency. She has supervised multiple PhD students and pioneered teaching innovations using virtual reality and digital platforms for sustainable education. Her work aligns with UN SDGs, emphasizing climate action (SDG13) and sustainable cities (SDG11). Notable initiatives include developing a carbon emission calculation system for construction and promoting STEM equity through Women's Engineering Society ambassadorship. She co-leads the Centre for Civil and Building Services Engineering (CCiBSE) and serves as an editor for key engineering journals.
Dr Ali Bahr Ennil is a Lecturer in Aircraft Propulsion and Gas Turbine Engines at the University of Salford, based within the School of Science, Engineering & Environment . He is a Fellow of the UK Higher Education Academy (FHEA) and has built an international profile in turbomachinery design optimisation for renewable-energy applications. Education & Qualifications PhD in Mechanical Engineering, University of Birmingham (2016) MSc (Hons, First Class) in Mechanical Engineering, Military Technical College, Egypt (2011) BSc in Aeronautical Engineering, Engineering Academy Tajoura, Libya (2003) Research Interests Dr Ennil’s work integrates advanced computational methods with practical propulsion challenges. Core themes include: Turbomachinery Design Optimisation: CFD-driven shape optimisation of axial and radial turbines for enhanced aerodynamic efficiency. Blade Cooling & Aero-thermal Design: Film-cooling studies to manage thermal loads in high-performance gas turbines. Green Propulsion & Energy Storage: Development of small-scale, hydrogen-compatible turbines and hybrid-electric aircraft propulsion concepts. Renewable Power Cycles: ORC and Brayton cycle integration with solar, low-grade heat, and compressed-air energy storage systems. Publication Trends Across 11 outputs (2015–2024), Dr Ennil demonstrates a clear trajectory toward multidisciplinary optimisation of small-scale axial turbines. His 2024 article extends CFD/FEA coupling for blade design, while earlier works systematically explored ORC and Brayton cycle turbines for solar and low-temperature heat sources. Continuous use of evolutionary algorithms and ANSYS CFX underlines a commitment to high-fidelity simulation and experimental validation. Scientific Awards & Recognition Fellow of the UK Higher Education Academy (FHEA) Supervision & Grants Dr Ennil currently welcomes doctoral and master’s candidates in the following areas: Turbomachinery Design Optimisation Aerodynamic Design Optimisation using CFD Modelling Aircraft Hybrid-Electric Propulsion Development Hydrogen Storage Design Optimisation Laboratory & Centre Affiliations He carries out research within the Energy House Labs Innovation Institute and collaborates across the University of Salford’s interdisciplinary centres focusing on future engineering and environmental sustainability.
Vincent HOVELAQUE is a Full Professor at IGR-IAE Rennes (Institut de Gestion de Rennes - Institut d'Administration des Entreprises de Rennes), which is part of the University of Rennes 1. He serves as Deputy Director for Research at IGR-IAE Rennes and Deputy Director of the UMR CNRS CREM. Additionally, he is the Director of studies for the Master 2 MAE Formation alternance Gestion Comptable et Financière de l'Entreprise and Program director for the Master 2 MAE parcours Pilotage Stratégique et Décisionnel and Master GPLA, parcours Management des Entreprises Agro-alimentaires et de Process. Professor HOVELAQUE's research focuses on the analysis of industrial management policies and coordination in the supply chain. His current main research areas include supply chain finance, planning optimisations in a mine supply chain, and carbon issues in stock management or location. His work spans production management and logistics, supply chain management and coordination, with specific interests in inventories, location, sustainable supply chain, financial supply chain, and performance metrics. His teaching activities encompass production management (including inventory management, planning, scheduling, continuous improvement, and ERP systems), logistics (covering issues and development, sales forecasting and S&OP, and major logistics models), and operational research (focusing on foundations of optimization problems, linear programming, duality, and graph theory). Professor HOVELAQUE's recent publications demonstrate a strong focus on integrating financial considerations into supply chain management, sustainable logistics practices, and optimization of mining supply chains. His work frequently addresses the challenges of blending systems, phosphate supply chains, and the incorporation of carbon policies into facility location decisions. There is a clear trend toward interdisciplinary research that bridges traditional operations management with financial and environmental considerations. As a dedicated academic advisor, Professor HOVELAQUE has supervised numerous PhD students, including AZZAMOURI Bassma, BAMOUMEN Mouna, HILALI Hajar, MECHOUAR Youcef, AIT MANSOUR Mohamed, and MANGIN Philippe. His supervision focuses on practical applications of supply chain management in mining, finance, and sustainable operations. Professor HOVELAQUE is actively involved in the UMR CNRS CREM research unit, which appears to be a significant hub for his collaborative research efforts. His work often involves partnerships with other researchers from various institutions, particularly in the areas of supply chain finance and sustainable logistics.
Dr. Kamran Shaukat is a Senior Lecturer at Torrens University Australia's Faculty of Business and Design, where he serves as a Senior Learning Facilitator and researcher in the Centre for Artificial Intelligence Research and Optimisation (AIRO). With over 13 years of academic experience, he specializes in artificial intelligence applications across cybersecurity, medical informatics, and educational data mining domains. His research interests focus on Artificial Intelligence , Cyber Security , Health Informatics , Machine Learning , and Medical Imaging . Key research areas include developing anomaly detection frameworks for Industrial IoT, explainable AI for cardiovascular risk assessment, and deep learning approaches for neurological disorder diagnosis. Analysis of his recent publications reveals a strong trend toward applied AI in healthcare (Alzheimer's detection, skin cancer diagnostics, intradialytic hypotension prediction) and cybersecurity innovation (anomaly detection, malware classification, imbalanced data handling). His work consistently bridges theoretical machine learning with practical implementations in critical infrastructure and medical systems. Award highlights include: Recognition in the top 2% of researchers globally (Stanford University ranking) Dr. Shaukat actively supervises PhD students with current projects focusing on pattern recognition applications in cyber security, medical informatics, medical imaging, and educational data mining. His research contributes to UN Sustainable Development Goals through AI-driven solutions for health and security challenges. He maintains active collaborations across international research networks as evidenced by his co-authorship patterns and citation metrics.
Wahid Whaiduzzaman is a Research Professor at Torrens University Australia, affiliated with the Design and Creative Technology Centre for Artificial Intelligence Research and Optimisation (AIRO). He focuses on interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and healthcare technologies. His work emphasizes AI-driven solutions for medical diagnostics, IoT-enabled systems, and renewable energy optimization. Research interests include machine learning applications in healthcare imaging (e.g., cancer detection, eye disease classification), cybersecurity for large language models, and anomaly prediction in solar photovoltaic systems. He actively collaborates on global research projects and is currently accepting PhD students. No scientific awards are explicitly listed in the provided information. His contributions span 59 peer-reviewed publications across journals like Future Internet, Sensors, and Computation, demonstrating expertise in both theoretical and applied AI domains.
Maria Garcia De La Banda Garcia is a Professor at Monash University's Faculty of Information Technology with over 25 years of academic experience. She currently serves on the ARC College of Experts and is Co-Chair of the Monash-Woodside FutureLab. Her research spans: Combinatorial optimization techniques Program analysis and transformation Constraint programming languages Bioinformatics applications She has secured over $34M in research funding and serves as Area Editor for the Journal of Theory and Practice of Logic Programming. Awards include: Logan Fellowship (1997) International Constraint Modelling Challenge (2005) Monash Honour Roll (2021)
Maria Garcia de la Banda is a distinguished Professor at Monash University's Faculty of Information Technology, where she serves in the Department of Data Science and Artificial Intelligence (DSAI). With over 25 years of academic experience, she has held significant leadership roles including Deputy Dean (Research) until July 2022, overall Deputy Dean of the Faculty (2013-2016), and Head of the Caulfield School of Information Technology (2009-2011). She is currently a member of the ARC College of Experts and Co-Chair of the Monash-Woodside FutureLab. Her educational background includes a Doctor of Philosophy in Computer Science from the Universidad Politecnica de Madrid (awarded July 7, 1994) and an Ingeniero Informatico degree from the same institution (awarded March 1, 1992). Her PhD received the university's Best PhD Award. Garcia de la Banda's research spans multiple disciplines with a strong focus on constraint programming, combinatorial optimization, program analysis, and bioinformatics. She leads the Optimization research group within DSAI and has made significant contributions to declarative programming languages, parallelism, and automatic parallelization. Her interdisciplinary work bridges computer science with biological applications, particularly in protein structure analysis and computational drug design. Her publication record shows consistent contributions across constraint programming, optimization, and bioinformatics. Recent work demonstrates increasing interdisciplinary collaboration, with a notable expansion into bioinformatics applications alongside her core constraint programming research. She has maintained a strong presence at major conferences like CP (International Conference on Principles and Practice of Constraint Programming) while also building impactful industry collaborations. Her scientific recognition includes: Logan Fellowship (1997) - the first and only prestigious award of its kind in the Faculty of IT International Constraint Modelling Challenge winner (2005, with Peter Stuckey) Universidad Politecnica de Madrid's Best PhD Award (1994) Induction into the Monash Honour Roll (2021) Vice-Chancellor's Diversity and Inclusion Award (2020) As a research leader, Garcia de la Banda has secured over $20M in industry funding and $14M in nationally competitive funding, including $8M as Chief Investigator in 11 ARC grants (5 as lead). She has served as Area Editor of the Journal of Theory and Practice of Logic Programming since 2010 and on the Editorial Board of the Constraints journal since 2019. Her leadership extends to professional organizations, having served on the Executive Committees of both the Association of Logic Programming (2005-2008) and the Association of Constraint Programming (2017-2020), where she was President (2019-2020). She leads the Optimization research group within DSAI and collaborates extensively across Monash University and with industry partners. Her current major projects include HARNESS (Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems), the ARC Training Centre in Optimisation Technologies, and the Building 4.0 CRC project focused on better buildings through technology. These initiatives demonstrate her commitment to translating theoretical research into practical applications with real-world impact.
