جست‌وجوی استاد و پژوهشگر

• Algorithm development
• Data analytics
• Time-series data analysis
• +۶ مورد دیگر

Emran Ali is a Graduate Researcher (Ph.D. candidate) and Part-Time Lecturer at Deakin University's School of Information Technology within the Faculty of Science, Engineering and Built Environment. He holds concurrent faculty appointments at Hajee Mohammad Danesh Science & Technology University (HSTU) in Bangladesh where he teaches computer science courses while on study leave. His academic journey includes a Master of Science (Research) in Information Technology from Deakin University (2022) and a Bachelor of Science in Computer Science and Engineering from HSTU. Doctor of Philosophy (Ph.D.) in Information Technology, Deakin University (2023–present) Doctor of Philosophy (Ph.D.) in Machine Learning, Coventry University (Cotutelle program, 2023–present) Master of Science (Research) in Information Technology, Deakin University (2020–2022) Bachelor of Science in Computer Science and Engineering, HSTU Bangladesh (2007–2012) Ali's research focuses on algorithm development and applied machine learning in health informatics, specializing in biosignal processing for neurological and sleep disorder detection. His work integrates time-series data analysis with explainable AI techniques to develop clinical decision support systems. Current projects include ML/DL modeling of sleep-stage transitions in aging populations and causal relationship analysis in sleep disorders using EEG data. Analysis of his 10 recent publications reveals strong concentration in biomedical ML applications (60%), particularly EEG-based neurological disorder detection and mental health diagnostics. Secondary focus areas include environmental monitoring systems (20%) and foundational computer science (20%). His work consistently employs ensemble methods and feature optimization techniques across diverse datasets, with increasing emphasis on real-world clinical applicability in recent publications. Deakin University Post-graduate Research Scholarship (DUPRS) through Cotutelle program with Coventry University National Fellowship from Bangladesh Ministry of Science and Technology (2020) Best Presentation Award at Deakin School of IT Conference (2021) AWS AI/ML Scholarships (2023, 2024) Next Generation Tech Booster Scholarship (2024) Ali provides research supervision at HSTU while serving as a Graduate Research Teaching Fellow at Deakin University for Machine Learning and Data Analytics units. His industry collaborations include projects with Monash University, Alfred Health, and AETMOS Australia focused on health informatics applications. Current funding includes AWS-sponsored nanodegrees and Deakin University research scholarships supporting his sleep disorder research. His technical work integrates cloud-based AI/ML platforms (AWS, Azure) with biosignal processing pipelines, utilizing collaborations across Australian healthcare institutions to validate clinical applications. Recent projects emphasize explainability in deep learning models for medical diagnostics, particularly in resource-constrained environments relevant to Bangladesh healthcare contexts.

• Empirical Software Engineering
• Requirements Engineering
• Applied Natural Language Processing
• +۷ مورد دیگر

Dr. Chetan Arora is a Senior Lecturer in Software Engineering at Deakin University's School of Information Technology, part of the Faculty of Science Engineering and Built Environment. He holds a PhD from the University of Luxembourg where he received the best PhD thesis award in the ICT domain. His research focuses on applied Artificial Intelligence in Software Engineering, with particular emphasis on Empirical Software Engineering, Requirements Engineering, and Applied Natural Language Processing. PhD in Computer Science from University of Luxembourg Masters in Software Engineering from Technische Universitat Kaiserslautern (Germany) Bachelors in Engineering (CS) from Thapar University (India) Arora's research interests center on the intersection of AI and Software Engineering, particularly how machine learning and natural language processing can enhance software development processes. His work explores requirements engineering, test automation, software trustworthiness, and human-centric software development. He investigates how large language models can be effectively deployed for tasks like test case generation, requirements analysis, and traceability. His recent publications reveal a strong focus on practical applications of AI in software engineering, with numerous studies examining the real-world implementation challenges and benefits. His publication record shows significant activity in top software engineering venues, with a notable emphasis on AI applications in software engineering processes. His recent work demonstrates expertise in retrieval-augmented generation systems, requirements-driven testing, and human-centric software development approaches. The publications collectively highlight his focus on bridging theoretical AI advancements with practical software engineering challenges. Best Ph.D. thesis award in the ICT domain at University of Luxembourg Arora actively supervises doctoral students working on cutting-edge topics including satellite communication systems, extended reality applications, and human-centered AI requirements engineering. His industry collaborations include work with Department of Defence on projects like Contextually Situated Anomaly Detection and Planning and Optimisation of Resources in Defence Satellite Communication Systems. He previously worked at SES Satellites on applied AI for IoT and Satcom, and as an FNR-PPP research fellow at the University of Luxembourg in software quality assurance. His laboratory work focuses on developing practical AI solutions for software engineering challenges, particularly in requirements engineering and test automation. Current projects involve multi-orbit satellite constellation optimization, dynamic radio resource management, and extended reality enabled human-centric requirements engineering.

• Supply Chain Management
• Sustainability
• Optimisation Modelling
• +۵ مورد دیگر

Dr. Catherine Lou is an Associate Professor in supply chain and logistics at Victoria University Business School, part of the College of Arts, Business, Law, Education & IT. She serves as Discipline Leader for Transformative Research in Policy, Economy and Business at the Institute for Sustainable Industries & Liveable Cities, and is the Global Head of the WiLAT Capacity Building Centre. Her academic journey began at Victoria University where she completed her PhD in Supply Chain Optimisation in 2015, after which she joined as a lecturer. Dr. Lou's educational background includes: PhD in Supply Chain Optimisation, Victoria University (2015) Graduate Certificate in Tertiary Education, Victoria University (2018) MSc, BUAA, China (2010) Dr. Lou's research spans multiple interdisciplinary areas with a strong emphasis on quantitative approaches including optimisation modelling, statistics, and advanced data analysis. Her primary research areas include Supply Chain Management (focusing on sustainability, operations management, and risk management), Green Tourism and Visitor Economy, Leadership and Diversity initiatives, International Education, and Business Information Systems. Her work consistently integrates quantitative methods to address complex challenges in sustainable development and supply chain optimization, with particular attention to practical applications that benefit industry and society. Dr. Lou's publication portfolio demonstrates a clear trajectory toward increasingly interdisciplinary research that bridges supply chain management with sustainability, social justice, and wellbeing. Her recent work shows a growing emphasis on regional disparities in green manufacturing, social procurement systems, and the intersection of international student experiences with mental health. The thematic evolution of her research reflects a deepening commitment to addressing complex societal challenges through supply chain innovation, with publications appearing in D1 (top 5%) and Q1 journals across multiple disciplines. Dr. Lou has received numerous prestigious awards recognizing her contributions to academia and professional practice: International Student of the Year - Postgraduate by Victoria State (2013) VU Outstanding Student Alumni Award (2015) Young Professional of the Year award by the Chartered Institute of Logistics and Transport in Australia (2018) Excellence in Women's Leadership (Supply Chain Education) Award at the IEOM conference (2024) As an active researcher and mentor, Dr. Lou has secured over $$1.3$$ million in competitive research funding from diverse sources including international foundations, national and state government agencies, philanthropic organizations, and industry partners. She currently supervises multiple PhD students across various topics including AI adoption in SMEs, ESG activities, environmental sustainability in sports, and insurtech innovation. Her leadership extends to significant roles in professional organizations, particularly as Australia Chairperson and Global Vice Chairperson for Women in Logistics and Transport (WiLAT), where she champions initiatives that foster diversity and inclusion worldwide. Dr. Lou plays a pivotal role in the WiLAT Capacity Building Centre, leading global initiatives that develop leadership capabilities and promote gender diversity in the logistics and transport sector. Her work bridges academic research with practical industry applications, creating meaningful impact across multiple sectors including tourism, infrastructure, and international education, with alignment to UN Sustainable Development Goals including Partnerships for the Goals, Good Health and Well Being, Industry Innovation and Infrastructure, and Sustainable Cities and Communities.

Carl Driesenerمشاهده پروفایل

دانشیار

• Buyer Behaviour
• Market Modelling
• Brand Equity
• +۷ مورد دیگر

Carl Driesener is an Associate Professor and Senior Marketing Scientist at the Ehrenberg-Bass Institute for Marketing Science, where he has worked for over 15 years. He leads the Institute’s in-house tracking capabilities and conducts bespoke market research across industries including packaged goods, financial services, IT, telecommunications, real estate, and the wine market in China. His research focuses on buyer behaviour, market modelling, and internet research, with a strong emphasis on empirical generalisations in marketing. Carl’s research interests centre on buyer behaviour , brand equity , mental availability , and the application of the NBD-Dirichlet model and Duplication of Purchase analysis. He investigates how brands compete, grow, and decline using rigorous empirical methods. His work explores brand image measurement, consumer loyalty, and the impact of media and nostalgia on purchasing decisions. He has made significant contributions to understanding how consumers perceive country-of-origin effects, particularly in the Chinese wine market. His recent publications (2018–2023) reflect a strong trend in cross-cultural consumer behaviour , marketing analytics , and empirical modelling . Themes include mental availability, brand loyalty across categories, ageism in branding, and the use of advanced statistical models like the Poisson log-normal and Dirichlet. His work frequently applies marketing laws to digital and cultural contexts, including music consumption and social media integration. Scientific Awards: Best Paper Award, International Symposium on Marketing (2007) Carl has not publicly listed advisees, but his extensive collaboration with leading marketing scientists such as Byron Sharp, Jenni Romaniuk, and Zorka Anesbury suggests active mentorship and team-based research. He has contributed to major projects on brand loyalty, market structure, and consumer repertoire analysis. While no specific grants are listed, his ongoing publication output and leadership in large-scale research initiatives indicate sustained funding and institutional support. He is a key contributor to the Ehrenberg-Bass Institute’s mission of advancing evidence-based marketing science. Carl is involved in a research team focused on marketing science , brand tracking , and consumer data analytics at the Ehrenberg-Bass Institute. This team applies mathematical models to real-world marketing problems, working with global clients and publishing in top academic journals. Their work is foundational to modern brand management and category growth strategies.

• Sports Science
• Strength and Conditioning
• Exercise Physiology
• +۴ مورد دیگر

Blake McLean is an Associate Professor and Director of the post-graduate High Performance Sport program at the University of Technology Sydney (UTS). He holds appointments in the School of Sport, Exercise and Rehabilitation, with roles including Senior Lecturer (2019–present), Honorary Associate (2018–2019), and Casual Academic (2008–2015). His professional memberships include Exercise and Sports Science Australia (ESSA) and the National Strength & Conditioning Association (NSCA), alongside industry accreditations such as Certified Strength & Conditioning Specialist (CSCS). Blake’s education background is in Human Movement Studies (now Sport and Exercise Science) from UTS. His research focuses on bridging academic and industry collaboration to enhance elite athlete programs through applied sports science and strength & conditioning. Key areas include quantifying physical demands in team sports like basketball and rugby, fatigue management, and optimizing athlete preparation through testing and analytics. He emphasizes using data-driven insights to inform training decisions and has explored topics such as hypoxia’s impact on exercise capacity and decision-making models in high-performance sport. Blake has received the Young researcher award from ASPETAR Orthopaedic and Sports Medicine Hospital in 2013. His funded research includes projects like 'Quantifying the physical demands in basketball' and 'Hypoxia and exercise capacity,' supported by grants such as the 'Optimising Athlete Preparation' collaboration with the GWS Giants Football Club (2024–2025). In teaching and supervision, Blake leads modules in High Performance Sport, Strength and Conditioning, and Applied Sports Science. He advocates for lifelong learning and innovative educational models that integrate research and practice. Blake also volunteers in sports health initiatives, including roles with Fair Game Australia and Bondi Junction Community Health, promoting community engagement in sports-related health.

Huy Truong-Baمشاهده پروفایل

مدرس

• Reliability and Degradation Modelling
• Maintenance Optimization
• Engineering Asset Management
• +۵ مورد دیگر

Dr. Huy Truong-Ba is a Lecturer at Queensland University of Technology (QUT), affiliated with the School of Mechanical, Medical and Process Engineering and the Centre for Data Science. He holds a Doctor of Philosophy from QUT. His research focuses on reliability and degradation modeling, maintenance optimization, and engineering asset management, with expertise in Markov decision processes and condition-based maintenance strategies. His academic journey includes roles as an Associate Supervisor for multiple PhD projects, such as 'Dispatch Optimisation for Concentrating Solar Tower Power Plant Under Uncertainty' and others in solar energy systems and mechanical engineering. He has collaborated with institutions like the Asset Institute and contributed to interdisciplinary projects in energy systems and transportation. Research interests span mechanical engineering, manufacturing engineering, and engineering practice, with a strong emphasis on applying data-driven methods to optimize maintenance and asset management. His work often integrates statistical modeling and stochastic optimization to address challenges in energy infrastructure, solar power, and industrial equipment degradation. Key collaborations involve Associate Professor Michael Cholette and Professor Tommy Chan, focusing on solar thermal systems, rail infrastructure maintenance, and material degradation under high-temperature conditions. Dr. Truong-Ba's contributions bridge theoretical models with practical applications, driving advancements in sustainable energy and infrastructure resilience.

Maryam Bostanaraمشاهده پروفایل

پژوهشگر

• Transport planning
• Econometric and statistical methods
• Machine learning
• +۱ مورد دیگر

Dr. Maryam Bostanara is a Researcher at the City Futures Research Centre (CFRC) , part of the School of Built Environment at the University of New South Wales (UNSW Sydney). She completed her PhD in 2024 at the Research Centre for Integrated Transport Innovation (rCITI) , School of Civil and Environmental Engineering , UNSW Sydney, with a thesis titled "Urban Dynamics and Household Decisions: Advanced Statistical Methods in Relocation, Land Use, and Transport Planning." She holds a BSc and MSc in Industrial Engineering (Systems Optimization) from Sharif University of Technology, Iran (2016 and 2018). Maryam’s research focuses on the intersection of transport and land-use, emphasizing behavioral models and data-driven approaches to urban sustainability. Her work integrates data visualization , machine learning , and econometric methods to analyze residential relocation, transport planning, and urban dynamics. A notable trend in her publications is the application of advanced statistical frameworks (e.g., DDCM, survival analysis) to study relocation behaviors, cycling infrastructure, and time-use patterns during crises like the COVID-19 pandemic. She has also contributed to interdisciplinary topics, including AI-driven healthcare analytics. Recipient of UNSW Women in Engineering Research Top-Up Scholarship Awarded Best research demonstration at TRANSW 2021 Maryam is supported by the Digital Grid Futures Institute Seed Funding (DGFI) 2024 and is affiliated with the CFRC, a leader in urban futures research. Her expertise spans transport modeling, behavioral economics, and data science, with a growing focus on health-related applications.

Hadi Khorshidiمشاهده پروفایل

پژوهشگر ارشد

• Medical Data Mining
• Optimization
• Machine Learning
• +۳ مورد دیگر

Dr. Hadi Khorshidi is a Senior Research Fellow at the Cancer Health Services Research Unit within the Melbourne School of Population and Global Health at the University of Melbourne. He joined the CHSR Group in September 2021. Previously, he held roles as a Senior Data Analyst at the Institute for Safety, Compensation and Recovery Research (ISCRR) and as a Research Fellow in the School of Computing and Information Systems. His research focuses on medical data mining, optimization, machine learning, and uncertainty quantification applied to healthcare challenges, particularly in cancer research and injury outcomes. Dr. Khorshidi earned his PhD in Applied and Computational Mathematics from Monash University in 2016, with a thesis titled “System Reliability Optimisation via Uncertainty Quantification.” He holds prior academic and professional qualifications in related fields, including a Master’s and Bachelor’s degrees (specific details not provided in the text). His research interests span interdisciplinary domains, including medical data mining , optimization techniques , machine learning applications , and uncertainty quantification , with a focus on healthcare systems and cancer research. He has contributed to projects involving agent-based modeling for disease diagnosis, system dynamics modeling for genomic sequencing implementation, and improving decision-making through AI and collaborative human-machine approaches. Dr. Khorshidi has secured notable grants and awards, including the O&G Innovation Grant and a joint research grant through the Manchester-Melbourne Research Fund. These support his work on integrating advanced technologies into healthcare decision-making and cancer management strategies. In addition to his research, he serves as a Chief Investigator in the Manchester-Melbourne Research Fund project. His collaborative efforts include editorial roles in journals such as the International Journal of System Assurance Engineering and Management , and contributions to program committees for IEEE conferences. He is affiliated with the Cancer Health Services Research Unit and collaborates with the CHSR Group, contributing to interdisciplinary teams focused on advancing healthcare solutions through data-driven methodologies.

Nandini Sidnalمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Blockchain Technology
• Semantic Analytics
• +۸ مورد دیگر

Nandini Sidnal serves as Senior Learning Facilitator and National Academic Course Coordinator for Torrens University's Master of Software Engineering program through the Centre for Artificial Intelligence Research and Optimisation (AIRO). With over 20 years of international teaching experience in Computer Science, Engineering, and Networking, she has established herself as a key academic figure in AI and blockchain applications. Her educational foundation includes: PhD in Computer Science and Engineering (Cognitive Computing using Intelligent Agents) from Visvesvaraya Technological University (2012) M.Tech in Computer Science and Engineering (Parallel and Distributed Computing using Intelligent Mobile Agents) (2003) Bachelor of Engineering (1993) Nandini's research spans Artificial Intelligence, Blockchain Security, and Cognitive Computing , with strong emphasis on practical implementations in agriculture and healthcare. Her work integrates intelligent agents with distributed systems to solve real-world problems like food supply chain security and medical diagnostics, demonstrating consistent innovation from her early best paper award-winning thesis to current cutting-edge applications. Recent publications reveal a pronounced trend toward AI-driven agricultural optimization (dairy quality, aeroponics, nut farming) and healthcare diagnostics (epilepsy detection), alongside critical work in edge security. These outputs consistently bridge theoretical frameworks with tangible industry solutions, particularly in blockchain-secured IoT systems and deep learning applications. Her scientific recognition includes: Best Paper Award at an international conference for distributed computing research Nandini actively mentors high-impact projects including 'Strengthening Mobile-Based Services for Agriculture' and 'Enhancing VANET Performance with Cloud and Edge Technology.' Her industry collaborations with Intel (Parallel Programming integration) and Nokia (Mobility Research Lab establishment in Finland) demonstrate exceptional academic-industry synergy. The AIRO Centre serves as her primary research hub where she guides PhD candidates in blockchain-secured agri-supply chains and semantic recommender systems. Her Mobility Research Lab in Finland remains a cornerstone of her practical innovation legacy, focusing on next-generation mobile application development that continues to influence current VANET and edge computing research directions.

• Applied Mathematics
• Computational Mathematics
• Numerical Analysis
• +۵ مورد دیگر

Bishnu Lamichhane is an Associate Professor at the University of Newcastle, Australia, within the School of Mathematics and the College of Engineering, Science and Environment. His research focuses on applied and computational mathematics, with interdisciplinary collaborations in engineering, statistics, physics, and environmental science. He holds a PhD in applied mathematics from the University of Stuttgart (Germany) and has a strong track record in cross-disciplinary projects, including coal blending models for BHP and neutron strain tomography for engineers. Education: M.Sc. (Industrial Mathematics) from University of Kaiserslautern (Germany), PhD from University of Stuttgart (Germany). He has taught at all levels, including AMSI Honours courses in 2011, 2014, and 2020. He has supervised 12 completed PhD students and currently supervises 8 more. Research Interests: Numerical methods for PDEs, finite element methods, data science, optimisation, and tomography. Collaborations span institutions in Australia, Germany, UK, USA, and India. He has held leadership roles in the Computational Mathematics Group (CMG), served on the AMSI Board, and organized major conferences like CTAC 2018. His work has been supported by grants from BHP, ACARP, and international bodies. Key Achievements: Gold Medal (Tribhuvan University), DAAD Scholarship, Honorary Professorship at IIT Bombay. His research has led to advancements in coke microstructure analysis, locust foraging models, and ice shelf dynamics under ocean waves.

• Renewable Energy Systems
• Smart Grid Technologies
• Machine Learning in Energy
• +۳ مورد دیگر

Dr. Nameer Al Khafaf is a Lecturer in the School of Engineering at RMIT University, located at City Campus, Australia. His research focuses on renewable energy systems, smart grid technologies, and machine learning applications in energy management. He is actively involved in supervising research projects, including AI for Clean Energy and Sustainability and Multi-objective optimisation of battery storage systems . His research interests span photovoltaic generation forecasting, hydrogen hybrid energy systems, electric vehicle integration, and energy storage optimization. His work emphasizes leveraging deep learning and neural networks to address challenges in renewable energy integration and grid reliability. Dr. Al Khafaf’s recent articles highlight advancements in photovoltaic forecasting, hydrogen energy systems feasibility, and EV charge scheduling. These studies underscore his commitment to sustainable energy solutions and smart grid innovation. He is open to supervising Masters and PhD students in these areas. No scientific awards have been explicitly stated. His work involves collaborations with industry partners and international research teams, contributing to both academic and applied outcomes in energy systems.

Johari Hussein Nassor Amarمشاهده پروفایل

عضو هیئت علمی

• Built Heritage Conservation
• Affordable Housing Policy
• Urban Planning
• +۳ مورد دیگر

Johari Hussein Nassor Amar is a Senior Teaching Fellow at Bond University's Faculty of Society & Design, affiliated with the Centre for Comparative Construction Research. He holds a PhD in Sustainable Development from KTH Royal Institute of Technology, an MSc in Real Estate Management from KTH, and a BSc (Hons) in Land Management and Valuation from the University of Dar es Salaam. His research focuses on built heritage conservation, affordable housing policy, and urban planning with a cross-cultural lens. Key research interests include the conservation of cultural heritage in Australia and Tanzania, policy frameworks for affordable housing, and the application of person-environment fit theory in design. His work contributes to UN Sustainable Development Goals related to education and sustainable cities. Recent projects include 'Optimising Person-Environment Fit for Inclusive Housing' (2023-2025), comparing Build-to-Rent models between Australia and Germany (2022-2025), and advancing property valuation through LiDAR and AI (2024-2025). He has supervised PhD research on megaprojects in Southeast Queensland and actively engages in policy discussions on housing affordability and heritage management. Notable outputs include analyses of Australia's National Rental Affordability Scheme (NRAS), cross-cultural heritage management comparisons, and white papers on multi-sectoral solutions for housing challenges. His research emphasizes stakeholder collaboration and systemic approaches to urban and cultural sustainability.

Paul Salmonمشاهده پروفایل

استاد

• Human Factors and Ergonomics
• Systems Analysis and Design
• Sociotechnical Systems
• +۸ مورد دیگر

Professor Paul Salmon is a Professor of Human Factors and the creator of the Centre for Human Factors and Systems Science at the University of the Sunshine Coast (UniSC), Australia. With nearly 25 years of experience in applied Human Factors and systems science research across diverse domains, he has established himself as a leading expert in his field. The Australian has identified him as Australia's field leader in quality and reliability for five consecutive years. His educational background includes a PhD in Human Factors from Brunel University, an MSc in Applied Ergonomics from Sunderland University, and a BSc in Sports Science from Sunderland University. These diverse educational foundations have informed his interdisciplinary approach to Human Factors research. Professor Salmon's research spans numerous critical areas including transportation safety (road, rail, aviation, maritime), workplace safety, cybersecurity, disaster management, and sports performance. His work consistently applies systems thinking to complex sociotechnical problems, with recent focus on managing societal and global risks through Human Factors interventions. He has co-authored 23 books and over 300 peer-reviewed journal articles, demonstrating exceptional scholarly output. His publication record reveals a clear evolution toward increasingly complex systems applications, with recent work focusing on computational modeling of sports systems, dark net marketplace interventions, and artificial general intelligence risk management. There's a strong emphasis on translating theoretical frameworks into practical safety solutions across multiple domains. Among his numerous accolades are the UK Chartered Institute for Ergonomics and Human Factors William Floyd Award (2019), multiple Microsoft Awards for Best Cybersecurity Paper (2019, 2020), and the International Ergonomics Association award for research impacting practice (2018). His Bridge Labs program received the 2022 Queensland Health award for excellence in 'pursuing innovation'. Professor Salmon has secured significant research funding from the Australian Research Council for projects including 'Managing the risks associated with artificial general intelligence' ($460,522), 'NextGen Accident Prevention' ($387,756), and 'Optimising illicit dark net marketplace interventions' ($426,600). He leads the Centre for Human Factors and Sociotechnical Systems PhD student program, which has received multiple USC Advance teaching awards. The Centre for Human Factors and Systems Science serves as a multidisciplinary hub for research across transportation, defense, healthcare, and sports domains. Current projects include developing new theories and toolkits for safer systems, applying systems thinking to the 'fatal five' road safety issues, and exploring the translation of systems thinking in healthcare practice through the Bridge Labs program.

• Artificial Intelligence
• Big Data Analytics
• Bioinformatics
• +۲۱ مورد دیگر

Dr. Mahakim Newton is a Lecturer in Data Science at the University of Newcastle, Australia, and an Adjunct Senior Research Fellow at Griffith University’s Institute for Integrated and Intelligent Systems. He holds a PhD in Computer and Information Sciences from the University of Strathclyde, alongside degrees from Bangladesh University of Engineering and Technology (BUET). His research focuses on artificial intelligence, machine learning, bioinformatics, and computer education, with notable contributions to protein structure prediction and IoT interoperability. Education: Ph.D., University of Strathclyde M.Sc.Engg., Bangladesh University of Engineering and Technology B.Sc.Engg., Bangladesh University of Engineering and Technology Research Interests: Dr. Newton’s work bridges AI and computational biology, including protein-ligand binding affinity prediction, bioinformatics algorithms, and IoT edge networks. He explores machine learning techniques for environmental informatics and drug discovery, emphasizing scalable solutions for complex problems. Teaching: He coordinates courses like Computing Project , Algorithms , and Deterministic and Stochastic Optimisation at the University of Newcastle, integrating practical and theoretical insights. Grants and Labs: Involved in interdisciplinary projects on water quality prediction and edge computing interoperability. His collaborations span academic and industrial partners, advancing applications in healthcare and environmental monitoring.

Manou Rosenbergمشاهده پروفایل

پژوهشگر ارشد

• Optimization
• Energy Infrastructure
• Evolutionary Algorithms
• +۳ مورد دیگر

Dr Manou Rosenberg is a Research Fellow at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences (EECMS), part of the Faculty of Science and Engineering. Their work focuses on optimization and energy systems, particularly in hydrogen infrastructure networks, electricity distribution networks, and evolutionary algorithms. Rosenberg is affiliated with the Centre for Optimisation and Decision Science. Research interests include applying optimization techniques to solve complex engineering problems in energy infrastructure, rural electrification, and renewable energy systems. Their work often integrates evolutionary algorithms with geospatial analysis and machine learning methods. Publications emphasize innovative solutions for hydrogen pipeline design, rural electricity networks, and microgrid optimization. Recent work explores multi-stage approaches for spatially-aware infrastructure planning and the application of genetic algorithms to network design challenges. Rosenberg collaborates with institutions and researchers in Australia, contributing to projects that bridge theoretical optimization and practical energy system applications. They are based at the Curtin Perth campus in the New Technologies Building, Room 463.