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Young LeeView profile

Senior Lecturer

• Edge Computing
• Blockchain Technology
• Fog Computing
• +3 more

Young Lee is a Senior Lecturer in Computing at Macquarie University, affiliated with the School of Computing and three research centers: Data Horizons Research Centre, Future Communications Research Centre, and Smart Green Cities Research Centre. His research focuses on edge computing, blockchain technology, fog computing, and resource scheduling in distributed systems, with a strong emphasis on applications in IoT, healthcare, and sustainability. He has led or contributed to over 150 research outputs since 2005, including influential works on edge-based video analytics, blockchain frameworks, and cloud-edge resource optimization. Dr. Lee's projects include 'Extreme-Scale Computing for Big Data Analytics' (2016–present) and 'Synergising the Power of the Cloud with the Power of the Crowd' (2016–present), demonstrating expertise in scalable computing and cloud-crowd integration. His work bridges theoretical advancements in scheduling algorithms with practical implementations in energy-efficient data centers and mobile edge environments. Research interests span edge computing architectures, blockchain oracles, and fog caching strategies, with recent contributions to carbon-conscious travel systems and malware detection frameworks. His interdisciplinary approach addresses challenges in resource allocation, network security, and distributed system efficiency.

Timo HönigView profile

Professor

• Operating Systems
• System Software
• Energy-Aware Computing Systems
• +3 more

Prof. Timo Hönig is a Professor leading the Bochum Operating Systems and System Software (BOSS) Research Group at Ruhr-Universität Bochum (RUB). Previously, he served as an Assistant Professor at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), where he was part of Department of Computer Science 4. His research focuses on Energy-Aware Computing Systems, Operating Systems, and System Software design with applications in embedded and real-time systems. Key research projects include the DFG Collaborative Research Center/TR 89 (Invasive Computing) and the DFG SPP 1914 (Latency- and Resilience-Aware Networking). He has received notable awards such as the SOSP SRC Gold Medal (2019) and the ISORC Best Paper Award (2017). He actively contributes to conferences like ACM EuroSys and USENIX ATC, and has led initiatives like the Albatross runtime system for energy-efficient HPC clusters. Teaching includes courses on Energy-Aware Computing and Operating Systems Technology. His work bridges theoretical system software design with practical applications in energy efficiency and heterogeneous architectures. The BOSS group explores future system software challenges for many-core and NVM-based systems.

Daniel MosseView profile

Professor

• Computer Architecture
• Computer Systems
• Cyber-Physical Systems
• +8 more

Dr. Daniel Mosse is a Professor in the Department of Computer Science at the University of Pittsburgh. He holds a PhD from the University of Maryland, College Park, and has been a faculty member since 1993. His research focuses on distributed systems, real-time systems, power management, security, and fault tolerance, bridging operating systems and networking research. He has held leadership roles, including Chair of the Department of Computer Science since 2009 and Visiting Professorships in Brazil. His work spans grants totaling millions, addressing energy-efficient computing, secure infrastructure, and embedded systems. Education: PhD (1993), MS (1990), and BS (1985) in Mathematics and Computer Science. Research interests include distributed real-time systems, multicore systems, embedded systems, and wireless networks. Notable awards include the 2007 Provost's Innovation in Education Award and the 2006 Bellet Teaching Award. Key grants include NSF-funded projects on energy-efficient data centers, secure emergency management systems, and power-aware scheduling. He advises numerous students and teaches courses on operating systems and distributed systems. His contributions to real-time systems, fault tolerance, and energy management have been recognized through over 150 publications and international collaborations.

Xiaolu HuView profile

Associate Professor

• Empirical Corporate Finance
• Empirical Asset Pricing
• Bond Markets
• +5 more

Xiaolu Hu is an Associate Professor in Finance at RMIT University's School of Economics, Finance and Marketing. She joined RMIT in 2018 after completing her PhD in Finance there, following prior roles as a portfolio manager and credit rating analyst in China. Her research focuses on empirical corporate finance, asset pricing, bond markets, machine learning applications, and sustainable finance, with notable publications in journals like Journal of Corporate Finance and Energy Economics . She has attracted over $350,000 in research grants and leads the RMIT Financial Markets and Sustainability Group. Education: PhD in Finance, RMIT University (2017) Master of Finance, Tsinghua University (2011) Bachelor of Finance, Central University of Economics and Finance (2008) Research Interests: Credit Rating, Fixed Income, Machine Learning in Finance, ESG Integration Emerging Markets, Sustainable Finance, Corporate Finance Recent Research Trends: Her work explores how environmental factors (e.g., air pollution) and geopolitical events (e.g., trade wars) impact financial markets, alongside leveraging machine learning for credit risk and portfolio management. Key themes include ESG disclosure effects, green bonds, and systemic risk in Chinese markets. Awards: Best Paper Award 2023 (AFAANZ) Dean’s Research Excellence Award (2023) Rozetta Best Paper Prize (2021) Advising & Grants: Supervised over 10 research projects on topics like ESG integration, green sentiment, and credit risk modeling. Collaborates with financial institutions and has secured significant external/internal grants. Labs/Teams: Leads the RMIT Financial Markets and Sustainability Group, focusing on sustainable finance and ESG-related research.

Jules van BinsbergenView profile

Professor

• Corporate Finance
• Asset Pricing
• Macroeconomics
• +7 more

Jules van Binsbergen is the Anthony L. Davis Director of the Joseph H. Lauder Institute for Management and International Studies and holds the Lauder Chair Professorship at the University of Pennsylvania. He is also the Nippon Life Professor of Finance at The Wharton School and currently a Visiting Professor at MIT Sloan School of Management. His research focuses on asset pricing, financial markets' macroeconomic interactions, and financial intermediaries' performance. He earned a PhD in Finance from Duke University and an MA in Financial Econometrics from Tilburg University, with an undergraduate degree in Jazz Piano from The Hague's Royal Conservatory. Prof. van Binsbergen’s work bridges theoretical and empirical finance. His current research explores the dynamics between financial systems and broader economic trends, including monetary policy impacts, environmental risks, and mutual fund management strategies. He co-hosts the podcast All Else Equal: Making Better Decisions and is affiliated with the NBER and CEPR as a research scholar. His academic trajectory includes teaching roles at Stanford Graduate School of Business and Northwestern’s Kellogg School. Beyond research, he addresses practical finance challenges such as risk-free rate calculation methodologies and the valuation of long-term liabilities. His contributions span asset pricing models, corporate finance, and the evaluation of financial professionals’ skill and incentives. Prof. van Binsbergen’s interdisciplinary approach integrates econometric rigor with real-world financial phenomena, emphasizing both theoretical innovation and policy-relevant insights.

Swapneel ShethView profile

Associate Professor

• Computer Science Education
• Software Engineering
• Privacy
• +2 more

Swapneel Sheth is a Practice Associate Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science, where he also serves as Director of the CIS Master's Program. His academic journey includes a B.E. in Computer Engineering from Sardar Patel College of Engineering (Mumbai University) and M.S./Ph.D. degrees in Computer Science from Columbia University. Dr. Sheth's research focuses on: Innovative pedagogical approaches in computer science education Software engineering methodologies and testing frameworks Privacy requirements across cultural contexts Social recommender systems and knowledge sharing platforms Societal impacts of computational tradeoffs His publications demonstrate consistent contributions to SIGCSE, ICSE, and other premier venues, with thematic emphasis on gameful learning strategies, project-based curricula, and cross-cultural privacy frameworks. Awards recognizing his contributions include: Ruth and Joel Spira Distinguished Teaching Award (2023) Hatfield Award for Teaching Excellence (2019) SIGCSE Exemplary Paper (2017) Paul Charles Michelman Service Award (2013) He has advised over 120 graduate and undergraduate researchers on projects spanning educational technology, sustainability tools, healthcare applications, and financial systems. His leadership extends to multiple departmental committees including curriculum development and diversity initiatives.

Ioannis KyriakouView profile

Professor

• Actuarial Science
• Quantitative Finance
• Financial Mathematics
• +13 more

Professor Ioannis Kyriakou is a leading academic in actuarial finance and quantitative methods at Bayes Business School, City St George's, University of London, where he serves as Professor of Actuarial Finance and Director of the MSc in Actuarial Science and MSc in Actuarial Management. He holds a visiting professorship at the University of Eastern Piedmont and has previously served as affiliate faculty at the Cyprus International Institute of Management. His research spans actuarial science, derivatives pricing, risk management, computational finance, and machine learning applications in finance and insurance. His research interests focus on quantitative finance , stochastic modeling , numerical methods , and machine learning , particularly in the context of derivative pricing , pension product design , energy and commodity markets , and investor sentiment . He has developed advanced computational techniques such as moment-based approximations and transform methods for financial modeling. His work integrates simulation, optimization, and data-driven approaches to solve complex financial and actuarial problems. The recent publications reflect a strong trend toward interdisciplinary research, combining machine learning with financial economics , energy efficiency forecasting , mutual fund performance , and climate risk . His work frequently appears in top journals like Operations Research , Journal of Financial and Quantitative Analysis , and European Journal of Operational Research , showcasing expertise in both theoretical and applied finance. European Journal of Operational Research (2020) Editors' Award for Excellence in Reviewing Cass Business School (2014) Prize for Excellence in Teaching and Learning Dimitris N. Chorafas Foundation (2009) Prize for outstanding PhD research work EPSRC Doctoral Training Award (2008) He supervises several PhD students in areas such as derivatives pricing, machine learning in actuarial science, and pension optimization. He has received research support through editorial leadership, consultancy (e.g., with Lloyd’s Treasury), and academic collaboration. He is actively involved in organizing conferences and workshops, including the Finance and Business Analytics Conference. He is affiliated with research groups focusing on financial modeling , actuarial computation , and machine learning in insurance , contributing to both academic and industry-facing initiatives. His co-authored book Machine Learning in Insurance (MDPI, 2020) highlights his leadership in bridging data science with actuarial applications.

Habiba BougheraraView profile

Professor

• Biomaterials
• Biomechanics
• Additive Manufacturing
• +7 more

Habiba Bougherara is a Professor and Associate Chair of Graduate Programs in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. Her research focuses on biomaterials, biomechanics, and advanced composites with applications in biomedical engineering and additive manufacturing. Education: PhD, École Polytechnique, 2005 MASc, École Polytechnique, 2000 Her research interests include developing bone-mimicking composite materials using natural fibers and nanocomposites, with a strong emphasis on improving orthopedic implants through 3D/4D printing and mechanical modeling. She integrates artificial intelligence and machine learning to enhance material design and performance prediction. The recent publications highlight her work in hybrid composites, fatigue analysis of plant-based fibers, mesoscale modeling, and computational biomechanics for bone remodeling. Her research bridges sustainable materials with biomedical innovation. Scientific Awards: Early Researchers Awards (ERA-MRI) Discovery Accelerator Supplements (NSERC-DAS) Dean’s Scholarly, Research and Creative Activity Awards (3) Ryerson’s Collaborative Research Award Habiba Bougherara actively supervises graduate students and leads externally funded research projects. She is involved in interdisciplinary collaborations and has secured competitive grants from NSERC and other agencies. Her lab contributes to innovation in both medical and structural applications of composites. She leads the Laboratory of Biomaterials and Biomechanics (LBB) , which focuses on experimental and computational studies of advanced materials for biomedical and engineering applications.

Daniel S. HainView profile

Associate Professor

• Data Science
• Network Analysis
• Machine Learning
• +7 more

Professor Daniel S. Hain is an Associate Professor at Aalborg University Business School, part of Aalborg University's Faculty of Social Sciences and Humanities. He is affiliated with the IKE Research Group (AI for the People) and the MASSHINE Cluster for Research on Innovation and Development. His research focuses on innovation dynamics, artificial intelligence, network analysis, and technology forecasting. Hain has been actively involved in strategic initiatives such as the Danish Industry Foundation's AI Denmark program and the Generative Ethnographic AI (GE-AI) seed project, demonstrating his commitment to advancing AI applications in societal contexts. His work bridges academic research with practical industry challenges, particularly in areas like patent analytics (e.g., Patentsberta model), renewable energy innovation, and global venture capital patterns in developing economies. Hain has received the OECD IPSDM “Big Data Analytics” Challenge award (2018) for collaborative research on inventive activity visualization. He contributes to policy discussions on AI governance, the privatization of research talent, and regional green technology development. Key projects include the Danish Research Unit for Industrial Dynamics (DRUID) since 1995, exploring innovation systems, and the EIS project on energy innovation competitiveness. Hain’s recent focus on generative AI ethics and SME predictive analytics reflects his dual expertise in technical methodologies and socio-economic impacts.

Xiaoyu XiaView profile

Lecturer

• System Privacy and Security
• AI Privacy
• Parallel and Distributed Computing
• +4 more

Dr. Xiaoyu Xia is a Lecturer (equivalent to Assistant Professor in North America) in Cybersecurity & Software Systems at RMIT University's School of Computing Technologies. He received his PhD with the prestigious Alfred Deakin Medal from Deakin University, Australia, and has established himself as a leading researcher in distributed systems and cybersecurity with over 50 peer-reviewed publications in top-tier venues including IEEE S&P, ACM WWW, and IEEE Transactions. Dr. Xia's research spans critical areas at the intersection of computing and security: System Privacy and Security Distributed Systems and Edge Computing AI Privacy and Machine Learning Systems Sustainable Computing Cybersecurity and Privacy-Preserving Technologies His recent work demonstrates a clear trajectory toward developing practical privacy-preserving frameworks for emerging technologies, particularly in edge computing environments and large language models. Dr. Xia has made significant contributions to machine unlearning, secure data management in distributed systems, and energy-efficient edge computing solutions that balance performance with sustainability concerns. Dr. Xia has received notable recognition for his scholarly impact: World's Top 2% Scientists by Stanford University (2022-2024) Alfred Deakin Medal for PhD research excellence (2021) Teaching Excellence Award from Swinburne University of Technology (2021) As an active researcher, Dr. Xia currently leads multiple funded projects including an ARC Discovery Project grant worth over $500,000 for developing privacy-aware intelligent digital twins for secure critical infrastructures. He is open to supervising motivated PhD students with interests in system security and privacy, and distributed ML systems. Dr. Xia serves the academic community through editorial roles as Associate Editor for IEEE Transactions on Dependable and Secure Computing and as a Review Board Member for IEEE Transactions on Parallel and Distributed Systems, and regularly participates in program committees for major conferences including ACM WWW and IEEE ICDCS.

• Fintech
• Blockchain
• Cryptocurrencies
• +9 more

Professor Andrew Urquhart is a Professor of Finance and Financial Technology and Head of the Department of Finance at Birmingham Business School, University of Birmingham , a position he has held since 2024. Prior to this, he was Professor and Head of the ICMA Centre at Henley Business School, University of Reading, and held academic roles at the University of Southampton. PhD in Finance, Newcastle University (2013) MSc in Finance (Distinction), Newcastle University (2009) BA(Hons) in Politics and Economics, Newcastle University (2008) PGCAP, University of Southampton (2014) His primary research interests include fintech, blockchain, cryptocurrencies, corporate governance, high-frequency trading, asset pricing, and sports finance . He has published over 80 peer-reviewed papers in leading journals such as Nature , Journal of Corporate Finance , and European Journal of Operational Research , with over 8,500 citations. His recent publications focus on cryptocurrency market dynamics, blockchain analytics, central bank digital currencies, and financial spillovers, showing a consistent and impactful research trajectory in digital finance and financial technology. He has received over £500,000 in external research funding and has earned several scientific awards , including: Best Paper in European Financial Management (2020) Best Paper at Southern Finance Association (2020) Best Paper at Cryptocurrency Research Conference (2018) Dean's Award for Leadership in Research (2017) Tom Fetherston Award (2013) Andrew has supervised 9 PhD students to completion and currently supervises 5 more. He has secured substantial research grants, serves as an associate editor for multiple journals (including British Accounting Review and International Review of Financial Analysis ), and co-organizes the Cryptocurrency Research Conference . He provides executive education on digital assets and fintech and has served as an external examiner for programs at Durham University, Queen’s University Belfast, and others. He is also actively involved in public discourse, contributing media articles on cryptocurrency markets and fintech through outlets like The Conversation .

• Water Infrastructure Engineering
• Sustainable Water Management
• Urban Water Transport Systems
• +7 more

Abbas Roozbahani is an Associate Professor in the Department of Building and Environmental Technology at the Faculty of Science and Technology, Norwegian University of Life Sciences (NMBU). His academic expertise lies in Water Infrastructure Engineering, where he contributes to research, teaching, and project leadership in sustainable urban water systems. His research interests include: Sustainable water management Urban water transport systems (drinking water, wastewater, stormwater) Risk assessment of water infrastructure Simulation and optimization of water systems Hydroinformatics and artificial intelligence Asset management for urban water infrastructure The analysis of his recent publications (2022–2025) reveals a strong focus on integrating advanced computational methods—such as Bayesian Networks, Fault Tree Analysis, machine learning (e.g., LSTM), and multi-criteria decision-making (MCDM)—into water resources management. His work frequently addresses urban stormwater optimization, drought and climate change risk assessment, groundwater forecasting, and the water-food-energy nexus, demonstrating a consistent trend toward data-driven, risk-informed, and sustainable solutions for complex water systems. Dr. Roozbahani teaches graduate-level courses including: THT301 - Asset Management for Urban Water Infrastructure THT302 - Analysis and Design of Water Distribution Networks THT261 - Introduction to Water and Wastewater Systems (co-instructor) THT313 - Water Management in Changing Conditions (co-instructor) THT390 - Preparations for the Master's Thesis (co-instructor) He has supervised multiple MSc and PhD students and led projects funded by academic and private institutions. His collaborative research spans international institutions, with frequent co-authorship on topics related to risk modeling, AI in hydrology, and sustainable infrastructure planning.

Geoff FrostView profile

Associate Professor

• Sustainability Management
• Environmental Accounting
• Corporate Social Responsibility (CSR)
• +4 more

Associate Professor Geoff Frost is an academic at the University of Sydney, specializing in sustainability management and accounting. He investigates the role of accounting and accountants in sustainable management, develops integrated sustainable management systems, and focuses on non-financial performance measurement and reporting. His research has been supported by over $500,000 in competitive grants from CPA Australia, CIMA (UK), the Institute of Chartered Accountants of Scotland, and ARC Linkage and Discovery Grants. Frost teaches postgraduate Managerial Accounting and Decision Making courses. Grants: Australian Centre for Energy Storage Research (2011) Transforming the Australian accounting profession for the carbon challenge (2011) Environmental management systems and reporting systems (2005) The role of accountants in sustainability management (2004) Internet-based sustainability reporting (2000) His publications span 2000–2025, with recent work analyzing sustainability reporting standards (2025), carbon reporting prediction models (2023), and legitimacy theory in sustainability disclosures (2011). His articles appear in journals like Australian Journal of Management , Abacus , and Journal of Business Ethics , focusing on intersections between accounting, environmental management, and corporate governance. Frost has collaborated extensively with researchers such as Stewart Jones, Janek Ratnatunga, and Carol Adams. His work addresses carbon reporting frameworks, water resource accounting, integrated reporting systems, and the financial implications of sustainability disclosures.

• Occupational Safety and Health
• Construction Management
• Project Management
• +7 more

Professor Patrick Manu is a faculty member at the University of the West of England (UWE Bristol), holding the position of Professor of Innovative Construction and Project Management within the School of Architecture and Environment. He specializes in construction management, project management, quantity surveying, and occupational safety and health. His research focuses on occupational health and safety, sustainable construction, digital construction technologies, and BIM integration. He has secured funding from EPSRC, DFID, and other institutions for projects like developing web-based safety tools and exploring immersive technologies for safety training. Patrick holds a PhD in Construction Project Management from the University of Wolverhampton, a BSc (First Class Honours) from Kwame Nkrumah University of Science and Technology, and a PGCert in Academic Practice from City University London. He is a Chartered Member of the Chartered Institute of Building and a Fellow of the UK Higher Education Academy. His research interests include BIM applications, Industry 4.0 technologies, circular economy in construction, and AI-driven safety solutions. He has published extensively on topics such as safety risk analysis, UAV applications, and pandemic-era construction safety. He serves as a reviewer for EPSRC, Newton Fund, and leading journals like Safety Science, and chairs committees for organizations like the International Construction Measurement Standards (ICMS). Patrick has held academic positions at institutions including The University of Manchester and KNUST, and his industry experience includes roles in quantity surveying and developing digital tools for construction cost estimation. He leads collaborative projects involving academia and industry partners, emphasizing practical solutions for construction challenges.

Pascal BizarroView profile

Associate Professor

• Accounting Information Systems
• IT Auditing
• Information System Assurance & Control
• +7 more

Pascal Bizarro, Ph.D., is an Associate Professor in the Department of Accounting and Information Systems at Bowling Green State University (BGSU), part of the Schmidthorst College of Business. He holds a Ph.D. and M.Acc. from the University of Alabama and a B.B.A. in Commercial Engineering from HEC, Liège, Belgium. A Certified Information Systems Auditor (CISA), he specializes in IT Auditing, Accounting Information Systems, and emerging technologies like blockchain. He advises BGSU's Information System Audit and Control (ISAC) programs and serves as president of the Northwest Ohio ISACA Chapter and academic board member of the Northwest Ohio IIA Chapter. Dr. Bizarro's research focuses on cybersecurity, audit technology, data privacy, and blockchain applications in accounting. His work has been published in leading journals such as ISACA Journal , Internal Auditing , and The CPA Journal . Notable contributions include studies on phishing attacks, IoT security, AI in auditing, and XBRL implementation. He has received awards including the Schmidthorst Leadership Council Faculty Excellence Award (2015) and the Primrose Family Professorship (2013–present). His professional certifications and academic leadership roles reflect his expertise in bridging accounting practices with information systems innovation.