جست‌وجوی استاد و پژوهشگر

• Clinical Medicine
• Pediatric Infectious Diseases
• Antibiotic Stewardship
• +۴ مورد دیگر

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).

Hua Zhongمشاهده پروفایل

دانشیار

• Sustainable Built Environment
• Energy Efficiency
• Urban Sustainability
• +۷ مورد دیگر

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.

• Turbomachinery Design Optimization
• Turbine Blade Cooling
• Aircraft Propulsion
• +۵ مورد دیگر

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.

• Supply Chain Management
• Logistics
• Production Management
• +۳ مورد دیگر

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.

• Cognitive Neuroscience
• Psychology of Ageing
• Neuroplasticity Mechanisms
• +۴ مورد دیگر

Hakuei Fujiyama is a Senior Lecturer affiliated with Murdoch University, specifically within the Centre for Healthy Ageing and the Health Futures Institute. Her research focuses on neurophysiological mechanisms underlying age-related changes in cognitive and motor function, with an emphasis on neuroplasticity. She employs advanced neurophysiological techniques including transcranial magnetic stimulation (TMS), electroencephalography (EEG), transcranial electrical stimulation (tES), and magnetic resonance imaging (MRI) to investigate cortical function and plasticity. Her work explores interventions such as repetitive TMS (rTMS) and bifocal transcranial alternating current stimulation (tACS) to induce beneficial neuroplastic changes. Key areas of interest include inhibitory control, sensorimotor integration, and the application of non-invasive brain stimulation in conditions like Parkinson’s disease and stroke recovery. Recent studies highlight her focus on optimizing stimulation protocols for individualized therapeutic outcomes and investigating the impact of aging on neural connectivity and motor control. Despite no listed awards, her research has contributed significantly to understanding mechanisms of neuroplasticity and their clinical applications. Her work has been published in over 50 peer-reviewed articles, with a strong emphasis on methodological rigor and translational potential in aging neuroscience and neurological rehabilitation.

Kamran Shaukatمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Cyber Security
• Health Informatics
• +۵ مورد دیگر

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.

• Internet of Things
• Machine Learning
• Cybersecurity
• +۳ مورد دیگر

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 Bandaمشاهده پروفایل

استاد

• Constraint Programming
• Combinatorial Optimization
• Program Analysis
• +۵ مورد دیگر

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.

Milan Tairمشاهده پروفایل

پژوهشگر

• Computer Science
• Artificial Intelligence
• Web Development
• +۳ مورد دیگر

Milan Tair is a researcher at the University of Singidunum, affiliated with the Faculty of Informatics and Computing and the Department of Postgraduate Studies . His academic work spans topics in computer science, web technologies, and optimization algorithms. Doctoral Studies : Electrical Engineering and Computing (2016–2022) Master's Studies : Contemporary Information Technologies (2012–2013) Undergraduate Studies : Programming and Design (2008–2012) His research interests focus on artificial intelligence , web development , cybersecurity , and optimization algorithms , as evidenced by his publications in journals and conference proceedings. Recent publications highlight his work on hybrid metaheuristic algorithms applied to intrusion detection, medical diagnostics, and web quality evaluation. His studies also explore adaptive web technologies, database systems, and mobile computing solutions. Milan has authored or co-authored works on topics including: Optimization of machine learning models (XGBoost tuning, swarm intelligence) Web performance and security (AES encryption, HTTP header licensing) Adaptive web formats (multi-layered image compression) Usability in multilingual web design

Jack Farrugiaمشاهده پروفایل

عضو هیئت علمی

• LGBTQIA+ health
• Australian identity
• Intimate partner violence
• +۶ مورد دیگر

Dr. Jack Farrugia (he/him) is an Adjunct Research Fellow at the UWA Medical School and a Postdoctoral Research Fellow at The Kids Research Institute Australia. His research focuses on the intersections of Australian identity, LGBTQIA+ health, and systemic inequities, with a particular emphasis on intimate partner violence among LGBTQIA+ populations and improving mental health services for marginalized communities. Education Doctor of Philosophy in Psychology, Curtin University (2019-2023) Bachelor of Psychology (Honours), Curtin University (2017) Jacks research projects include the Optimise+ initiative funded by the Medical Research Future Fund, aimed at strengthening mental health and substance abuse services for LGBTQ+ individuals through community-controlled models. He also led the Safer Options project, developing educational resources for primary care responses to LGBTQIA+ intimate partner violence. Key affiliations The Kids Research Institute Australia Australian Research Centre in Sex, Health and Society (La Trobe University)

Cristina Stewartمشاهده پروفایل

پژوهشگر

• Sustainable Diets
• Nutrition
• Public Health
• +۳ مورد دیگر

Cristina Stewart is a Researcher at the MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, where she focuses on sustainable diets and behavioral interventions. Previously, she was a Research Fellow at the University of Edinburgh and part of the LEAP project at Oxford. She holds an MSc in Human Nutrition (Public Health) from the University of Aberdeen and a BSc in Biomedical Science. Her research examines strategies to promote environmentally sustainable dietary behaviors, including analyzing meat and dairy consumption trends, evaluating eco-labeling interventions, and testing behavioral programs like the OPTIMISE trial. She has contributed to national surveys for Food Standards Scotland and led studies on reducing meat consumption through portion size and dietary shifts. Key publications include work on the environmental impact of dietary choices, the role of ecolabels in food purchasing, and modeling nutrient intake changes with reduced meat consumption. She collaborates with institutions like the University of Oxford and the Global Academy of Agriculture.

• Reliability Engineering
• Maintenance Optimisation
• Predictive Control
• +۸ مورد دیگر

Michael E. Cholette is an Associate Professor in the School of Mechanical, Medical & Process Engineering at Queensland University of Technology's Faculty of Engineering. With expertise spanning multiple engineering disciplines related to dynamic systems, reliability, and applied optimization, his work focuses on practical applications across various industries and infrastructure systems. Dr. Cholette earned his B.S. from the University of Michigan in 2007 and completed his Ph.D. at the University of Texas at Austin in 2012, where his research centered on fault detection and diagnosis for complex systems with applications in automotive systems and semiconductor manufacturing. Following his doctoral studies, he worked as a postdoctoral research fellow with the CRC for Infrastructure and Engineering Asset Management in Brisbane, Australia, focusing on reliability modeling and asset management before joining QUT as a Lecturer in 2013. He was promoted to Associate Professor in 2021. His primary research interests include asset management, reliability modeling, Condition-Based Maintenance (CBM), and maintenance optimization. Additional research areas encompass condition monitoring, control systems, autonomous vehicles, and building optimization. Dr. Cholette has successfully secured research funding from various industrial and government bodies including Queensland Rail, Wilmar Sugar, the Australian Research Council, the Australian Renewable Energy Agency, and the US Department of Energy. His recent publications reveal a strong focus on renewable energy systems, particularly concentrated solar power plants, with significant contributions to solar field design, heliostat soiling management, and thermal storage optimization. His transportation-related research shows expertise in railway infrastructure maintenance, track geometry monitoring, and predictive maintenance approaches. The interdisciplinary nature of his work bridges mechanical engineering, control theory, and operations research to solve practical engineering challenges. Fellow of the International Society of Engineering Asset Management Co-chair of the Scientific Committee for the 2017 World Congress on Engineering Asset Management Member of Engineers Australia Dr. Cholette has supervised numerous doctoral students whose research spans solar energy systems, autonomous vehicle control, building energy optimization, and maintenance planning. His teaching includes courses in Engineering Asset Management and Maintenance, Vibration & Control, and Advanced Dynamics. He actively participates in multiple academic and professional societies and maintains strong industry connections that inform both his research and teaching practices.

Davide Barilariمشاهده پروفایل

استاد

• Sub-Riemannian Geometry
• Curvature
• Geometric Control Theory
• +۴ مورد دیگر

Davide Barilari is a Full Professor at the Department of Mathematics "Tullio Levi-Civita" of the University of Padua. His research focuses on Sub-Riemannian Geometry, Curvature, Geometric Control Theory, Hypoelliptic PDEs, and Optimal Transport. He has contributed to curvature analysis, geometric measure theory, and spectral theory in non-Euclidean settings. Research Highlights: Unified synthetic curvature bounds for Riemannian/sub-Riemannian structures, Steiner formulae in 3D contact manifolds, stochastic processes on sub-Riemannian surfaces He serves as Associate Editor for ESAIM: Control, Optimisation and Calculus of Variations and Journal of Dynamical and Control Systems . Recent grants include STARS@UNIPD (2021) and PRIN 2022 as project coordinator. Organized Conferences: Dispersion and Geometry in Padova (2024), PaPa sub-Riemannian seminars, Hypoelliptic Operators in Geometry (2023), Final Conference of ANR Project SRGI (2020)

Sam Hillمشاهده پروفایل

مدرس

• Non-Destructive Testing
• Ultrasonic Waves
• Signal Processing
• +۳ مورد دیگر

Dr. Sam Hill is a Lecturer in Data Science at York Business School, York St John University. He holds a PhD in Physics from the University of Warwick (2014) and has extensive experience in both academia and industry, including a post-doctoral role at IIT Madras and a position at Tribosonics, a high-tech company specializing in industrial sensing technologies. His research focuses on applying physics-based approaches to non-destructive testing, particularly using ultrasonic waves and array techniques. He teaches modules such as Analysis and Optimisation, Object-Orientated Programming, and Work-Based Project Research on the Data Science Degree Apprenticeship course. Key research interests include ultrasonic array design, signal processing, and data science applications for industrial diagnostics. His work involves developing models to analyze material properties through ultrasonic interactions and converting sensor data into actionable insights. He has contributed to advancements in electromagnetic acoustic transducers (EMATs), Lamb wave generation, and defect localization using pulsed arrays. Publications span topics like EMAT coil geometry optimization, enhanced ultrasonic signal processing, and guided wave defect interaction. His research bridges academic theory and industrial applications, aiming to improve structural integrity assessment and predictive maintenance strategies.

Seyedali Mirjaliliمشاهده پروفایل

استاد

• Optimization
• Swarm Intelligence
• Evolutionary Algorithms
• +۶ مورد دیگر

Seyedali Mirjalili is a Professor of Artificial Intelligence and Director of the Centre for Artificial Intelligence Research and Optimization (AIRO) at Torrens University Australia. He holds distinguished professorships at VSB Technical University of Ostrava, Óbuda University, and De La Salle University, and is an adjunct researcher at Griffith University and Yonsei University. His research focuses on optimization algorithms, swarm intelligence, evolutionary computation, and machine learning. Education: PhD in Computer Science (Griffith University, 2016). Research interests include optimization techniques, swarm intelligence algorithms (e.g., Grey Wolf Optimizer, Whale Optimization Algorithm), machine learning applications, and robust optimization frameworks. He has published over 600 papers with an H-index of 110 and is among the most cited researchers in optimization fields globally. Awards include the Pro-Vice Chancellor Research Special Award (2019) and recognition as a top 1% highly cited researcher (since 2019). He serves as an associate editor for journals like Neurocomputing and Applied Soft Computing. Labs/Teams: Leads the AIRO Centre at Torrens University, focusing on AI-driven solutions for complex optimization problems.