جستجوی استاد راهنمای دانشگاهی

Bambang Trigunarsyahمشاهده پروفایل

دانشیار

• Project Management
• Infrastructure Project Delivery
• Post-Disaster Reconstruction
• +۴ مورد دیگر

Associate Professor Bambang Trigunarsyah holds a position at RMIT University since 2018, affiliated with the School of Property, Construction and Project Management (PCPM). He earned his BSc in Civil Engineering from Colorado School of Mines, a Master's in Civil Engineering (Construction Management) from the University of Indonesia, and a PhD in Engineering Project Management from the University of Melbourne. His career spans industry roles, including project engineering in Indonesia's oil and gas sector, academic leadership at the University of Indonesia, and international teaching/research appointments at Queensland University of Technology (QUT) and King Fahd University of Petroleum and Minerals in Saudi Arabia. Research interests focus on post-disaster reconstruction, infrastructure project governance, constructability of infrastructure, and project management in developing countries. Notable projects include risk management frameworks using blockchain, circular economy in Saudi construction, and BIPV energy solutions. He actively supervises HDR students in areas like public-sector project success determinants and thermal environment studies. Bambang serves as Higher Degree Research Delegate Authority (HDR DA) for the School of PCPM and teaches postgraduate project management programs. Professional memberships include AIPM, PMI, and ASCE. His industry advisory roles include Indonesia's National Construction Service Development Board (2002-2007) and Australia-Indonesia Centre's Infrastructure Cluster (2016-2018). Recent research emphasizes BIM applications in infrastructure preservation, risk assessment methodologies, and climate-resilient construction. His work bridges theory and practice, addressing challenges in emerging economies and complex project environments.

Chung-Hsing Yehمشاهده پروفایل

دانشیار

• Multicriteria Decision Analysis
• Applied Artificial Intelligence
• Intelligent Decision Support Systems
• +۶ مورد دیگر

Chung-Hsing Yeh is an Associate Professor at Monash University's Faculty of Information Technology, Department of Data Science & AI. He holds a visiting professorship at National Cheng Kung University, Taiwan, and has extensive experience in academic roles including Chief Examiner and Lecturer for numerous IT and business-related courses. His research focuses on multicriteria decision analysis, applied artificial intelligence, fuzzy logic, neural networks, and sustainable operations management. He has led collaborative projects on e-waste recycling, supply chain optimization, and public health policy, funded by organizations like the Ministry of Science and Technology (Taiwan) and the Australian Research Council. Education: PhD in Operations Research/Information Systems, Monash University (1988) MSc in Management Science, National Cheng Kung University (1982) BSc (Engineering) in Industrial Design, National Cheng Kung University (1977) Research Interests: His work spans decision support systems, optimization modeling, transport research, and recycling operations. Notable contributions include algorithms for production scheduling, AI-driven solutions for healthcare, and sustainable e-waste management strategies. Awards: Listed in Marquis Who's Who in the World Listed in Who's Who in Finance and Industry Listed in Who's Who in Science and Engineering Grants & Projects: Led 6 major projects, including 'Maximizing E-waste Recycling Profitability' (2019–2020) and 'Smoke-Free Policy Effectiveness' (2007–2010). Active in grant review roles for ARC and the Netherlands Organisation for Scientific Research. Teaching: Overseeing courses such as Fundamentals of Artificial Intelligence, Business Intelligence Modelling, and Management Information Systems.

• Smart Grids
• Renewable Energy Integration
• Optimization of Power Systems
• +۴ مورد دیگر

Cuo Zhang is a Lecturer of Power Engineering and ARC DECRA Fellow at the University of Sydney's School of Electrical & Computer Engineering. He holds a B.E. (Hons.) from the University of Sydney (2014) and a Ph.D. in Electrical Engineering from UNSW (2018). His research focuses on smart grids, renewable energy integration, voltage control, and optimization of power systems. Key interests include distributed generation planning, energy storage systems, and demand response mechanisms. Dr. Zhang leads research on enhancing distribution network resilience through advanced control strategies and participates in the Net Zero Institute. He has secured grants such as the 2024 ARC DECRA project on renewables hosting capacity. Supervised students include Yunqing Zhang, working on robust renewables integration. His recent publications emphasize data-driven approaches, decentralized energy trading, and adaptive control for unbalanced networks. He explores machine learning applications in energy management and stochastic optimization under uncertainty. Awards include the University Medal for academic excellence. Awards: ARC DECRA Fellow Grants: 2024 Robust Renewables Hosting Capacity Enhancement Labs/Teams: Member of the Net Zero Institute

Charles Raymond Sarimuthuمشاهده پروفایل

مدرس ارشد

• Power Systems
• Renewable Energy
• Smart Grids
• +۳ مورد دیگر

Dr. Charles Raymond Sarimuthu is a Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University Malaysia. He holds a Ph.D. in Electrical Power Engineering from National Energy University, Malaysia. His research focuses on voltage control, power transformers, distribution systems, renewable energy, and smart grids. He actively supervises undergraduate and postgraduate students and has published extensively in high-impact journals such as Electric Power Systems Research and Renewable Energy . Dr. Sarimuthu has collaborated on projects including the Electric Field Imaging (EFI) Sensor for Comprehensive Static Charge Analysis (2024-2025) and the Fundamental study on memristor switching performances (2023-2026). He has also led the Investigation of on-load tap changer transformer operation (2019-2022), demonstrating expertise in grid stability and renewable integration. Teaching commitments include ECE3051 - Electrical Energy Systems , ECE4053 - Electrical Energy-Generation and Supply , and ECE5886/6886 - Smart Grids . He is a member of professional bodies such as the Board of Engineers Malaysia (BEM) and IEEE. His work aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Recent research highlights include game theory approaches for voltage control and adaptive synchronverter technologies for solar power systems.

Leila Moslemi Naeniمشاهده پروفایل

مدرس ارشد

• Project Management
• Fuzzy Methods
• Mathematical Modelling
• +۵ مورد دیگر

Dr. Leila Moslemi Naeni is a Senior Lecturer at the University of Technology Sydney (UTS), School of Built Environment, with a dual appointment in the Faculty of Design, Architecture and Building. She previously served as a Lecturer at UTS (2016-2018) and Sessional Lecturer at Curtin University (2015-2016). PhD in Computer Science (University of Newcastle, 2017) MSc in Industrial Engineering (Sharif University of Technology, 2007) BSc in Industrial Engineering (Iran University of Science and Technology, 2004) Her research focuses on project management under uncertainty, integrating fuzzy systems and mathematical modeling with applications in construction, ESG reporting, and disruptive technologies. She developed innovative methods for statistical control charts in project monitoring and leads research on leveraging blockchain and digital tools for sustainable infrastructure. Recent publications highlight her work on resource-constrained scheduling algorithms, ESG integration in megaprojects, and gamification in project management education. She serves as Review Editor for Frontiers in Environmental Science and on the Editorial Board of Smart and Sustainable Built Environment . 2016 PMI NSW Research Award 2022 Walt Lipke Award 2013 FEBE Postgraduate Research Prize As an active research mentor, she supervises PhD students in machine learning applications, disaster management technologies, and social infrastructure investments. Her teaching emphasizes simulation-based learning, collaborating with Oulo University (Finland) to quantify educational value.

• Control Theory
• Autonomous Systems
• Reinforcement Learning
• +۳ مورد دیگر

Dr. Cheng-Chew Lim is a Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide. He specializes in control theory, autonomous systems, and multi-agent reinforcement learning. His research focuses on trusted autonomous systems, secure cyber-physical networks, and decentralized decision-making models. He has published over 300 articles and supervised 50+ PhD and master’s students. Dr. Lim teaches courses in control systems, autonomous systems, and engineering project management. He has held editorial roles, including Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics, and is actively involved in professional associations like the IEEE Control and Aerospace Electronic Systems Joint Chapter. His current projects include physics-informed neural networks for medical imaging, secure distributed autonomous systems, and resilient formation control under cyberattacks. Dr. Lim has secured research grants from ARC and industry partnerships, emphasizing practical applications in robotics, cybersecurity, and smart systems.

Ali Amrollahiمشاهده پروفایل

مدرس

• Digital Work
• Strategic Impact of Emerging Technologies
• Technology Governance
• +۴ مورد دیگر

Ali Amrollahi is a Lecturer in Business Information Systems at the Department of Actuarial Studies and Business Analytics, Macquarie Business School, Macquarie University. His research focuses on digital work, strategic impact of emerging technologies, technology governance, openness in strategy, and digital innovation. He has published extensively in top journals like Journal of Strategic Information Systems and Information and Management , with over 269 citations and an h-index of 26. His work has been implemented in international organizations and featured in media such as Macquarie's The Lighthouse . Amrollahi serves as a Section Editor at the Australasian Journal of Information Systems and Track Chair for Australasian Conference on Information Systems (ACIS). He has received teaching grants and focuses on innovative pedagogy involving blockchain, cybersecurity, and employability skills. He has supervised multiple PhD and MRes students and is open to mentoring researchers in multidisciplinary information systems topics. His research has explored topics such as open strategic planning methodologies (e.g., OSPM framework), AI adoption in auditing, cybersecurity policy agility, and trust dynamics in sharing economies. Awards include the ACIS 2023 Best Theory Paper and Jeffrey Blee Memorial Prize. Recent activities include invited talks on digital strategizing and editorial roles in information systems journals.

Arash Khatamianfarمشاهده پروفایل

مدرس

• Control Engineering
• Robotics and Mechatronics
• Dynamic Systems Modelling and Control
• +۳ مورد دیگر

Dr. Arash Khatamianfar is a Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), specializing in Control Engineering and Robotics. With a strong background in both academia and industry, he has made significant contributions to engineering education and control systems research. His educational background includes a B.Sc. in Electrical Engineering (Electronics major) from Iran (2005), an M.Sc. in Electrical Engineering (Control Engineering and Robotics major) from Iran (2008), and a Ph.D. in Electrical Engineering with focus on Control Systems and Robotics from UNSW (2015). Dr. Khatamianfar's research spans two primary domains: educational technologies in engineering education and advanced control systems. In engineering education, he has focused on developing effective online laboratory practices, managing hands-on labs during the pandemic, and comparing online versus in-person teamwork. In control engineering, his work centers on overhead crane systems, model predictive control, and applications in renewable energy systems. His publications reveal a clear trajectory from theoretical control methods to practical industrial applications, with recent work emphasizing educational technologies alongside continued contributions to control theory. Best Lab Demonstrator Award in the School of Electrical Engineering and Telecommunications at UNSW (2014) Nominated for Best Lab Demonstrator Award at UNSW (2015) Nominated for Best Lecturer Award in the Faculty of Engineering at UNSW (2018) Dr. Khatamianfar has demonstrated significant commitment to teaching excellence, earning the first-ever Best Lab Demonstrator Award in his school based on student satisfaction. His industry experience includes work at Buildings Alive Pty. Ltd. as a Systems and R&D Engineer, where he developed methods for improving energy consumption in commercial buildings, and professional training in SIEMENS PLC systems. He has been active in the Systems and Control group at UNSW, particularly in running teaching laboratories and collaborating in research laboratories. His work environment includes the Systems and Control Research laboratories at UNSW, where he has supervised undergraduate thesis students and contributed to developing advanced control methodologies with practical industrial applications.

Ann Maharajمشاهده پروفایل

دانشیار مدعو

• Time Series Classification
• Wavelet Analysis
• Fuzzy Classification
• +۹ مورد دیگر

Ann Maharaj is an Adjunct Associate Professor in the Department of Econometrics and Business Statistics at Monash University's Caulfield Campus, within the Faculty of Business and Economics. She is an active researcher and educator with expertise in statistical computing and time series analysis. Department: Econometrics and Business Statistics Role: Adjunct Associate Professor Institution: Monash University Campus: Caulfield Her research focuses on advanced statistical methodologies, particularly in time series classification , wavelet analysis , fuzzy classification , and interval time series analysis . These methods are applied in diverse domains such as finance, environmental science, climatology, and human mobility. She has co-authored a book on time series clustering and classification and has published extensively in top-tier journals. The recent trend in her publications (2020–2024) shows a strong emphasis on clustering and classification of complex time series data using wavelet, cepstral, and fuzzy techniques. Her work integrates statistical theory with practical applications, particularly in financial and environmental datasets, contributing to sustainable development goals through data-driven insights. She has received recognition for her teaching excellence: Monash Business School Award for Teaching Excellence (2017) Ann Maharaj is actively involved in academic service and professional communities. She has supervised research students and contributed to statistical consulting and workshops. Her professional affiliations include: Elected member of the International Statistical Institute (ISI) Member of the International Association of Statistical Computing (IASC), serving on its Council (2013–2017) and Executive (2015–2017) Accredited statistician with the Statistical Society of Australia (SSA) Former Secretary and Academic Vice-President of the Monash Branch of the NTEU (2000–2014) She led a research project funded by the Collier Charitable Fund in 2005 on computational infrastructure, indicating early engagement with data-intensive research. Her ongoing scholarly output demonstrates sustained research activity and collaboration with international scholars in statistics and data science. She is associated with research groups and networks focused on statistical computing and time series analysis, contributing to both methodological advancement and real-world application through interdisciplinary collaboration.

Farveh Farivarمشاهده پروفایل

مدرس ارشد

• Digital Transformation and Employee Behavior
• Career Mobility
• Work-Life Interface
• +۵ مورد دیگر

Dr. Farveh Farivar is a Senior Lecturer and Senior Advisor in Management at Curtin University's School of Management and Marketing (Faculty of Business and Law). With 11 years of experience in tertiary education and consulting, they specialize in organizational systems, human behavior, and digital transformation impacts. Their roles include regional representative for ANZAM Board (WA/SA) and former EURAM Country Representative (Australia). They founded the ANZAM Research Method SIG and co-convener of the Mixed-Method Research SIG (2017-2024). Research focuses on digital transformation's effects on employee behavior, career mobility in digital age, work-life interface dynamics, and advanced research methodologies like Qualitative Comparative Analysis (QCA). Notable contributions include studies on GitHub Copilot emotional responses, career plateaus, and skilled migrant integration challenges. Awarded ANZAM's Innovative Management Educator (2021) and multiple teaching excellence recognitions from UTAS and Curtin. Active in global academic networks including AOM and EURAM. Consults on organizational performance and culture projects, managing large-scale initiatives from conception to dissemination. Teaches Strategic Management (MGMT3010), Corporate Strategy (MGMT6010), and Innovation Management (MGMT3007) Publications span 20+ peer-reviewed articles in International Journal of Human Resource Management , Personnel Review , and Cyberpsychology Behavior and Social Networking Expertise in mixed-methods research, including fuzzy-set QCA and configurational analysis

Marwa Keshkمشاهده پروفایل

مدرس

• Cyber Security
• Artificial Intelligence
• Privacy Preservation
• +۵ مورد دیگر

Dr. Marwa Keshk is a Lecturer in Cyber Security at the School of Professional Studies, University of New South Wales (UNSW) Canberra. Her academic career focuses on the intersection of cybersecurity and artificial intelligence, with particular expertise in privacy preservation, anomaly detection, and threat intelligence. Her educational background includes: PhD in Cyber Security and Privacy Preservation (2021) from UNSW Master's degree in Evolutionary Computation (2017) from UNSW Bachelor's degree in Computer Science (2012) from the Faculty of Computers and Information at Helwan University, Egypt Dr. Keshk's research interests primarily center around the application of artificial intelligence and machine learning techniques to enhance cybersecurity measures. Her work explores how computational intelligence, statistical methods, and emerging technologies can be leveraged for privacy preservation, anomaly detection, and threat intelligence. She has made significant contributions to the security of Internet of Things (IoT) networks, cyber-physical systems, and critical infrastructure protection. Her research often combines theoretical advancements with practical applications, addressing real-world security challenges in increasingly connected digital environments. Analysis of Dr. Keshk's publication history reveals a strong focus on applying AI and machine learning to cybersecurity challenges, particularly in IoT environments. Her work demonstrates a progression from foundational research in evolutionary computation to specialized applications in cybersecurity. Recent publications show increasing emphasis on explainable AI for security applications, reflecting the growing need for transparency in security decision-making processes. Her research spans multiple domains including smart cities, industrial control systems, and power networks, demonstrating the versatility and wide applicability of her security frameworks. Dr. Keshk has received notable recognition for her academic work: UNSW Tuition Fee Scholarship for PhD Research (2018-2021) Data61/CSIRO Scholarship (2019-2021) During her PhD studies, Dr. Keshk was a research candidate at Data61-CSIRO in Australia, providing her with valuable industry experience alongside her academic pursuits. Her collaborative approach to research is evident in her extensive co-authorship with colleagues across various institutions, particularly with researchers from UNSW and other Australian universities. Dr. Keshk's work contributes significantly to several research teams and initiatives focused on cybersecurity and AI at UNSW Canberra. Her expertise complements broader efforts in secure systems development, particularly in the context of increasingly connected environments where traditional security boundaries are challenged by new technologies.

• Process Mining
• Anomaly Detection
• Blockchain
• +۳ مورد دیگر

Ko, Jonghyeon is a researcher affiliated with the Ulsan National Institute of Science and Technology (UNIST) , specifically the Department of Materials Science and Engineering within the College of Natural Science and Engineering. His work spans multiple disciplines including process mining, anomaly detection, blockchain technology, AI computing, and environmental engineering. His research interests include: Anomaly detection in business process event logs Blockchain-based systems for nuclear/radioactive waste management AI computing using neuromorphic devices Statistical leverage and information-theoretic approaches to process mining Optimization of autonomous vehicle safety systems Recent publications demonstrate expertise in developing formal languages for data quality simulation, probabilistic trace alignment methods, and practical tools for anomaly detection like AIR-BAGEL. While no explicit scientific awards are mentioned in the text, his work has been published in venues such as Information Systems , npj Unconventional Computing , and Expert Systems with Applications .

Branka Krivokapic-Skokoمشاهده پروفایل

استاد

• Ethnic Entrepreneurship
• Agricultural Cooperatives
• Cross-cultural Management
• +۷ مورد دیگر

Professor Branka Krivokapic-Skoko is a faculty member at Charles Sturt University's School of Business . She holds a PhD in Management from Lincoln University (New Zealand), an MSc(Econ) from Belgrade, and a BSc (Hons). Her research focuses on ethnic entrepreneurship , agricultural cooperatives , rural development , and gender equity in male-dominated industries . She has published extensively on mixed methods research, psychological contracts, and refugee integration. Recent research trends include intersectionality in rural sociology, data governance in agriculture, and refugee entrepreneurship. Her work spans 2025–2008, with methodological innovation as a recurring theme. Farm Mechanisation & Conservation Agriculture for Sustainable Intensification (ACIAR, $544,574) (2013-2017) Humanitarian immigrant entrepreneurs (ARC, $200,124) (2015-2017) New Immigrants in Australian Agriculture (RIRDC, $468,000) (2012-2015) Indigenous Cooperative Success (ARC, $254,682) (2010) She teaches Microeconomics , International Business , and Contemporary Management , with a focus on cross-cultural issues and agricultural economics.

Sanjoy Paulمشاهده پروفایل

دانشیار

• Supply Chain Risk Management
• Supply Chain Resilience
• Sustainable Supply Chain Management
• +۳ مورد دیگر

Sanjoy Paul is an Associate Professor at the University of Technology Sydney (UTS) Business School, specializing in supply chain management and operations research. He holds roles as Associate Editor of Business Strategy and the Environment and Global Journal of Flexible Systems Management . His research focuses on supply chain resilience, risk modeling, and sustainable practices, with applications to global disruptions like pandemics and IT outages. Paul has published in top-tier journals such as the European Journal of Operational Research and secured grants from government bodies including the Department of Defence. Education and Career: Prior to UTS, he worked at RMIT University and Bangladesh University of Engineering and Technology. He holds a PhD from UNSW, recognized with the Stephen Fester Prize for outstanding thesis. His career spans academic roles from Lecturer (2017) to Senior Lecturer (2019) before his current position since 2023. Research Contributions: Paul’s work bridges theoretical models and real-world applications, including recovery frameworks for supply chains during crises and strategies for sustainable practices in post-pandemic contexts. He frequently advises media on supermarket pricing, supply chain disruptions, and business strategies, appearing in outlets like The Guardian and ABC News . Awards and Recognition: His honors include the ASOR Rising Star Award, Research with Relevance Award, and inclusion in the top 2% global scientists (2020–2023). He has contributed to policy debates on supermarket competition, EV market dynamics, and Australia’s industrial strategies.

• Industrial Net Zero Transition
• Automation in Mining
• Hybrid Systems Control
• +۳ مورد دیگر

Dr. Honglei Xu is an Associate Professor of Industrial Optimization and Engineering at Curtin University, specializing in industrial system optimization for net-zero transition. He serves as Node Leader of ATN Industry Doctoral Training Centre and Mathematics Honours Coordinator. His research spans automation in mining, hybrid systems control, and optimization in construction and energy sectors. Recent publications demonstrate interdisciplinary approaches combining operations research, AI, and control theory for sustainable industrial solutions. Honors include IEEE Senior Membership and JSPS Fellowship. Current projects focus on public transport optimization, renewable energy forecasting, and intelligent control systems for mineral processing. Dr. Xu teaches courses in mathematical modeling and production planning while serving as associate editor for multiple international journals including Complexity and Energies.