جستجوی استاد راهنمای دانشگاهی

Weiping Heمشاهده پروفایل

مدرس

• Financial Regulation
• Corporate Law
• Law and Society
• +۳ مورد دیگر

Weiping He is a Lecturer in the Department of Law at Monash University, focusing on comparative financial regulation, corporate law, and the interplay between legal frameworks and economic systems. He is a Chief Investigator in the Algorand Centre of Excellence (ACE) on Sustainability Informatics for the Pacific (2022–2023). His teaching commitments include courses such as LAW5011 Principles of Company Law, LAW4104 Australian Banking Law, and LAW4252 China’s Legal System. His research interests span comparative studies of financial markets regulation, corporate law dynamics, and the role of government in shaping market behaviors. He examines how historical, political, and economic contexts influence regulatory efficacy, particularly in China, Australia, and the U.S. Recent work emphasizes China’s judiciary’s limited role in financial regulatory enforcement, the Communist Party’s influence on legal frameworks, and the impact of technological innovations like cryptocurrencies and BigTech on traditional regulatory structures. His articles and books (e.g., Australian Banking and Finance Law and Regulation and Politics Meets Markets ) reflect a trend toward analyzing institutional regulatory effectiveness and cross-jurisdictional legal comparisons. He critiques paternalistic regulatory approaches and advocates for adaptive frameworks to address modern financial challenges. Scientific Awards: Recipient of the 2020 BFSLA Research Essay Prize for co-authored work on financial services legislation. In advising and grants, He has contributed to multiple submissions to government bodies, including the Australian Law Reform Commission and Treasury’s crypto regulations. His collaborative projects, such as the ACE initiative, aim to leverage blockchain for sustainability in the Pacific region. While no formal advisees are listed, his academic engagements highlight a focus on policy and regulatory reforms.

Brendan Saltaformaggioمشاهده پروفایل

دانشیار

• Computer Systems Security
• Cyber Forensics
• Threat Intelligence
• +۳ مورد دیگر

Brendan Saltaformaggio is an Associate Professor in the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering at the Georgia Institute of Technology, with a courtesy appointment in the School of Computer Science. He leads the Cyber Forensics Innovation (CyFI) Lab, focusing on advanced cybercrime investigation and malware analysis in mobile/IoT environments. His research spans computer systems security, cyber forensics, and untrusted software vetting. He has received funding from the ONR, DARPA, and NSF, among others. His work has been recognized with awards such as the ACM SIGSAC Doctoral Dissertation Award and Best Paper distinctions at top security conferences. Saltaformaggio earned his B.S. in Computer Science from the University of New Orleans (2012), and his M.S. and Ph.D. from Purdue University (2014, 2016). His research has led to impactful contributions, including the removal of malicious software packages from platforms like PyPI and the collaboration with the FBI on smart contract fraud investigations. Key achievements include developing frameworks like DSCRETE (Best Student Paper at USENIX Security 2014) and GUITAR (Best Paper at CCS 2015). His recent publications address topics such as botnet remediation, AI-driven forensic analysis, and cryptocurrency fraud detection. He actively contributes to the security community through conference tutorials and media outreach, with his work featured in outlets like IEEE GlobalSpec, TechRadar, and Communications of the ACM.

• Sustainable Construction
• Blockchain Technology in Construction
• Embodied Carbon Estimation
• +۳ مورد دیگر

Navodana Rodrigo is a Lecturer in the School of Architecture and Civil Engineering at the University of Adelaide, within the Faculty of Sciences, Engineering and Technology. She holds a BSc (First Class Honours) in Quantity Surveying from the University of Moratuwa, Sri Lanka, and previously served as a lecturer there before completing her PhD at Western Sydney University. Her research focuses on sustainable construction practices, blockchain technology integration in construction supply chains, embodied carbon reduction, and disaster-resilient infrastructure. She is eligible to supervise Masters and PhD students in these areas. Dr. Rodrigo’s work emphasizes transformative technologies like blockchain for enhancing transparency and sustainability in construction. She has authored over 30 peer-reviewed articles, including studies on circular economy frameworks, digital twin applications, and policy mapping for net-zero carbon buildings. Her awards include the 2021 3MT People’s Choice Award, 2020 Award for Excellence in Higher Degree Research, and recognition at the IRSD 2020 conference. Her professional activities include contributions to conferences and competitions, such as the CIB c4SMC Collective Sensemaking Research Competition. She actively engages with industry challenges through research on embodied carbon estimation tools, smart contracts for property transactions, and socio-technical systems in irrigation management.

Duncan Sheehanمشاهده پروفایل

استاد

• Unjust Enrichment
• Trusts
• Personal Property Law
• +۳ مورد دیگر

Professor Duncan Sheehan is a Professor of Business Law at the University of Leeds, leading the Centre for Business Law and Practice. He holds a doctorate from the University of Oxford and previously served at the University of East Anglia as Professor of Commercial Law. His expertise spans unjust enrichment, trusts, and personal property law, with a recent focus on crypto-assets and secured transactions law reform. He is President of the Society of Legal Scholars (2024-2025), having held roles such as Honorary Membership Secretary and Research Committee member. Academic memberships include the Chancery Bar Association and involvement with the Law Commission on projects like Electronic Trade Documents. His teaching covers Trusts, International Credit & Security Law, and Principles of International Finance at postgraduate level. Research interests include comparative private law theory, particularly in mixed jurisdictions (Scotland, South Africa), and philosophical underpinnings of unjust enrichment. Notable contributions include organizing conferences on secured transactions law reform (2017) and digital assets (2024), alongside a forthcoming book on the scope and structure of unjust enrichment (2024). His work bridges legal theory and practice, addressing modern challenges like blockchain and cryptocurrency regulation. Professional activities include advising the City of London Law Society on secured transactions and serving on the AHRC Peer Review College. His leadership roles within Leeds Law School include REF 2021 Unit of Assessment Lead and Director of Postgraduate Research Studies. Recent research trends highlight interdisciplinary approaches, integrating philosophy of action with private law, as evidenced by his podcast on 'Is Unjust Enrichment a Thing?' (2023).

Malka N. Halgamugeمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• AI Security
• Large Language Models
• +۵ مورد دیگر

Dr. Malka N. Halgamuge is a Senior Lecturer in Cybersecurity at RMIT University, Melbourne, Australia, and Chair of the IEEE Computational Intelligence Society Victorian Section. She holds a PhD from the University of Melbourne and has over 5,200 citations with an h-index of 38. Her research focuses on cybersecurity, AI security, large language models, blockchain, and IoT. Previously, she worked at La Trobe University as a Senior Lecturer and Course Coordinator for Micro-credential Cybersecurity courses. She managed the Australian Government's $4.7M Cyber Security Skills Partnership Innovation Fund, collaborating with industry partners like Cisco and Optus. Her industry experience includes roles as an EMR consultant, founder of SenseRadiation Pty Ltd, and part-time algorithm researcher at GreenBox Services. Malka has led over 300 conferences, including roles as Program Co-Chair and Track Chair. She has received numerous awards, including the CAS President's Fellowship and recognition as a top 2% cited researcher globally. Her work spans academic research, industry collaboration, and policy engagement in cybersecurity and emerging technologies.

• Coding Theory
• Discrete Mathematics
• Blockchains
• +۵ مورد دیگر

Dr. Son Hoang Dau is a Senior Lecturer in Computer Science at the School of Computing Technologies, RMIT University, Australia. His research focuses on coding theory, discrete mathematics, blockchains, and their applications in secure distributed systems and quantum computing. He actively supervises PhD and Master’s students in areas like fraud detection on blockchain networks and quantum annealing for satellite communication optimization. Research Interests: - Coding Theory & Error-Correcting Codes - Blockchain Security & Decentralized Systems - Quantum Computing & Optimization - Privacy-Preserving Algorithms - Distributed Storage Systems Dr. Dau's recent work includes groundbreaking studies on blockchain fraud detection, secure erasure coding in distributed storage, and quantum annealing for satellite beam placement. His contributions bridge theoretical computer science with practical applications in cybersecurity and telecommunications. Supervision Projects: - Machine Learning methods for Fraud Detection on Blockchain networks - Efficient Repair of Reed-Solomon Codes - Robust Computer vision for surveillance and threat detection Collaboration Network: Engages with global researchers in cryptography, distributed systems, and quantum computing through publications in top venues like IEEE Transactions and ACM Conferences.

Sara Saberiمشاهده پروفایل

دانشیار

• Supply Chain Management
• Blockchain Technology
• Sustainable Development
• +۴ مورد دیگر

Sara Saberi is an Associate Professor at The Business School of Worcester Polytechnic Institute (WPI), affiliated with the Department of Industrial Engineering. She holds the Norton Assistant Professorship (2023). Her research focuses on supply chain networks, blockchain technology, and sustainable decision-making. She has received grants from NSF and EDA, emphasizing supply chain resilience during crises. Education: PhD in Business Administration (Management Science, UMass Amherst, 2016); PhD in Industrial Engineering (University Putra Malaysia, 2010); MS in Socio-Economic Systems Engineering (Isfahan University of Technology, 2006); BS in Computer Engineering (Shiraz University, 2004). Research Interests: Supply chain equilibrium modeling, blockchain adoption barriers, sustainable supply chain networks, and crisis-driven manufacturing solutions. She has published in top journals like International Journal of Production Economics and European Journal of Operational Research . Awards include NSF I-Corps Funding (2021), Sloan Research Fellowship Nomination (2020), and the INFORMS Outstanding Doctoral Student Researcher Award (2015). She advises numerous student projects, emphasizing project-based learning and industry collaboration through WPI's Digital platform.

Cheng-Yun Tsangمشاهده پروفایل

دانشیار

• Fintech Regulation
• RegTech/SupTech
• International Financial Law
• +۷ مورد دیگر

Cheng-Yun Tsang is an Associate Professor at Monash University Faculty of Law, Executive Group Member at CLARS, and Senior Visiting Fellow at UNSW's School of Private & Commercial Law. He previously served as Founding Director of NCCU's FINTEC Center and RegTech Innovation Lab. His research focuses on Fintech/RegTech/SupTech, CBDCs, crypto assets, and sustainable finance, with over A$2 million in research funding. He teaches courses like 'Fintech and the Law' and advises governments and institutions globally on financial regulation, including roles at Line Bank and Taiwan’s National Credit Card Center. Education: SJD (Doctor of Juridical Science) & LLM in Financial Regulation, Duke University (2011–2015) MBA, National Taiwan University (2005–2007) LLB & BA in Diplomacy, National Chengchi University (2000–2005) Certificate in Digital Money, Tufts University (2016) Research Interests: Regulatory innovation in digital finance Cross-border CBDC governance AI governance and financial supervision Regulatory technology (SupTech/RegTech) ESG integration in financial regulation His work analyzes global regulatory challenges posed by Fintech, emphasizing tech-driven solutions and policy harmonization. Awards & Editorial Roles: Editorial Board Member, Capital Markets Law Journal Foreign Contributing Editor, Banking and Finance Law Review Grants & Projects: Leading projects on SupTech, digital identity, and open banking Government-funded research exceeding A$2 million Professional Activities: Consultant to regulators in Taiwan and international bodies (e.g., Bank for International Settlements) Keynote speaker on Fintech regulation at global forums

Jan Henrik Ziegeldorfمشاهده پروفایل

پژوهشگر

• Data Security
• Privacy-Preserving Technologies
• Cryptographic Protocols
• +۱۲ مورد دیگر

Dr. Jan Henrik Ziegeldorf is a researcher at RWTH Aachen University, affiliated with the Institute for Energy Efficient Buildings and Indoor Climate at the EON Energy Research Center (EONERC) and the Communication Systems Group (COMSYS) within the Department of Computer Science. He holds a PhD in Computer Science from RWTH Aachen, earned in 2018, and has been contributing to research in data security and privacy since 2017, initially part-time and then full-time. His research focuses on data security, privacy-preserving technologies, and cryptographic protocols , with applications in blockchain, IoT, cloud computing, and genomics. He has made significant contributions to secure multi-party computation, differential privacy, anonymization, and homomorphic encryption. His work bridges theoretical cryptography with practical system implementations, particularly in constrained environments and decentralized architectures. The recent publications reflect a strong trend in privacy-preserving machine learning, secure blockchain systems, and genomic data protection . These works demonstrate expertise in designing frameworks (e.g., SHIELD, BLOOM) that enable secure computation while maintaining performance, especially in outsourced and distributed settings. His research often targets real-world privacy threats in cloud storage, mobile apps, and decentralized networks. Univention Graduate Award (3rd place) for the best thesis in 2016 FOLKS Award for the best Master's thesis in 2015 Dr. Ziegeldorf has actively advised numerous Master’s and Bachelor’s students on topics ranging from secure localization to blockchain privacy and differential privacy. His service includes program committee roles for IEEE Blockchain conferences and peer review for top-tier journals such as IEEE, ACM, and Elsevier publications. He is involved in collaborative research within the COMSYS group and contributes to interdisciplinary projects linking energy systems, networking, and privacy. He is part of the COMSYS research team at RWTH Aachen, which focuses on communication systems, security, and privacy in networked environments. The group works on both foundational and applied aspects of secure and efficient digital systems, with strong industry and academic collaborations.

Xue Liuمشاهده پروفایل

استاد

• Intelligent Computing and Communications Systems
• Sustainable Computing
• AI and Machine Learning Applications
• +۳ مورد دیگر

Xue Liu is a Professor and William Dawson Scholar at McGill University's School of Computer Science, affiliated with the Department of Mathematics and Statistics (courtesy appointment) and the Department of Electrical and Computer Engineering. He holds positions as Vice President R&D and Chief Scientist at Samsung AI Center Montreal, and serves as Chair (2021-2023) of ACM SIGBED. His research focuses on intelligent computing, cyber-physical systems, sustainable computing, AI/ML applications, IoT, and blockchain technologies. Dr. Liu has received multiple Best Paper Awards from conferences such as IEEE GLOBECOM, IEEE HPCC, and IEEE/ACM IWQoS. He is a Fellow of the Canadian Academy of Engineering (FCAE) and IEEE (FIEEE). His work bridges academia and industry, with entrepreneurial ventures including advisory roles at Infinity Stones Inc., TandemLaunch, and Aerial Technologies. He co-edits the Journal of Blockchain Research and serves on editorial boards of major journals like ACM Transactions on Cyber-Physical Systems and IEEE Transactions on Networking. Key research contributions include innovations in blockchain infrastructure, smart grid optimization, and AI-driven systems. His labs, including the Cyber-Physical Intelligence Lab and MILA affiliation, advance interdisciplinary research in machine learning, robotics, and networked systems. Dr. Liu mentors startups and advises initiatives like Learnable Inc., integrating AI into education and healthcare. Education Affiliations: McGill University School of Computer Science (prestige rankings include top 25 globally per QS 2023) Awards: Multiple Best Paper Awards, FCAE & FIEEE Fellowships Labs: Cyber-Physical Intelligence Lab, MILA, CIM, SYTACom Publications: Over 150 peer-reviewed articles, including books on cloud computing, smart grids, and cyber-physical systems

• Wireless Communications
• IoT
• Machine Learning
• +۷ مورد دیگر

Professor Yonghui Li is a faculty member at the University of Sydney, holding the position of Professor and Director of the Wireless Engineering Laboratory within the School of Electrical and Information Engineering. His research focuses on cutting-edge areas such as wireless communications, IoT, 5G/6G networks, machine learning, and signal processing. He has authored over 400 publications, including a book on full-duplex communications, and secured over $8 million in competitive research funding. Notably, he was awarded the Australian Research Council (ARC) Future Fellowship (2012) and IEEE Fellow (2015). Education: PhD in Telecommunications (2002) Roles: Editor for IEEE Transactions on Communications, Specialty Chief Editor of Frontiers Signal Processing Journal Key Projects: Multi-gigabit mm-wave cellular networks, machine learning for wireless spectrum management, 5G ultra-reliable low-latency systems His research has led to high-impact outcomes, including ISI high-cited papers and ESI Web of Science recognition. He also pioneered the IoT undergraduate program at the University of Sydney. Awards: IEEE Best Paper Awards (ICC 2014, PIMRC 2017), ARC Fellowships Grants: $500M national 'Smart Grid Smart City' project participation Current projects explore 3D beamforming, non-orthogonal multiple access, and physical-layer security in 5G systems. His work bridges theory and practice, with prototypes developed for mm-wave networks and AI-driven spectrum management.

Vincent Gramoliمشاهده پروفایل

استاد

• Distributed Computing
• Blockchain Technology
• Security
• +۴ مورد دیگر

Professor Vincent Gramoli is a Professor of Computer Science at the University of Sydney and Founder & CTO of Redbelly Network. He holds a PhD from Université de Rennes and a Habilitation from Sorbonne University. His research focuses on distributed computing, security, and blockchain technology. He has pioneered the Red Belly Blockchain, a high-performance, secure blockchain system, and co-developed the Diablo benchmark suite for evaluating blockchain systems. He has received awards including the CSIRO Digital National Facilities Award and the Australian Research Council Future Fellowship. Research interests span distributed consensus protocols, blockchain security, concurrent algorithms, and formal verification. He has advised central banks and served on technical committees for organizations like CORE and ACS. His teaching includes Distributed Systems at the University of Sydney and a Coursera MOOC on Blockchain Scalability. Key contributions include the Red Belly Blockchain (UTXO/account model compatibility, deterministic consensus), Diablo benchmark framework, and formal verification of consensus protocols. His work addresses scalability, security, and fault tolerance in distributed systems. Grants include ARC Future Fellowship (2019) and projects on blockchain security, consensus algorithms, and distributed computing. Current PhD students include Ankit Kapoor (Cryptography for Modern Applications) and Yuchen YE (Evolving Consensus in Complex Networks). Labs/Teams: Leads the Concurrent Systems Research Group at the University of Sydney, collaborating with industry partners like Algorand Foundation and Ethereum Foundation.

Mohamed Sellamiمشاهده پروفایل

دانشیار

• Service-oriented computing
• Business process management
• Social computing
• +۴ مورد دیگر

Mohamed Sellami is an Associate Professor in the Computer Science Department at Telecom SudParis, part of the Institut Mines-Télécom. He holds a Ph.D. in Computer Science from Telecom SudParis (2011), an MS in Economics and Management from the University of Sfax (Tunisia), and an engineering degree from the National Engineering School of Sfax. His research focuses on service-oriented computing, business process management, social computing, and IoT integration. He has contributed to advancing cloud computing strategies, blockchain applications, and process mining techniques. His work emphasizes interdisciplinary collaboration, including projects on transactional IoT systems, secure cross-blockchain smart contracts, and accountable cloud services. He has co-authored over 80 publications and serves on program committees for conferences like ICWS, ICSOC, and SCC. Sellami leads research initiatives in SAMOVAR (a CNRS lab) and co-founded the DIEGO research group. He co-translated the French edition of 'Fundamentals of BPM' (2024), bridging theoretical and practical process management insights. His articles span blockchain process mining, cloud service bundling, and IoT agentification. He actively contributes to academic governance, organizing tracks like Future Internet Services and serving on editorial boards. Current projects explore secure multi-cloud SLA management and artifact-centric blockchain systems.

Nour El Houda YELLASمشاهده پروفایل

استادیار

• Edge Computing
• Federated Learning
• Network Optimization
• +۳ مورد دیگر

Nour El Houda YELLAS is an Assistant Professor at Telecom SudParis, affiliated with SAMOVAR research center and the NeSS department. Her work focuses on optimizing resource allocation in edge computing and telecommunications networks, with emphasis on federated learning, network slicing, and blockchain oracles. She holds a PhD in Networking and Internet Architecture from Hesam University and Cnam Paris (2023). Research interests include multi-criteria optimization for edge computing systems, robust network design, and machine learning applications in telecommunications. Recent work addresses latency-sensitive applications, federated learning pipelines, and anomaly detection in 5G/6G infrastructures. Her publications span conferences such as CNSM, NOMS, and IWCMC, with contributions to IEEE Transactions and Computer Networks journals. Current projects involve sustainable edge resource allocation and in-network learning architectures.

Heming Cuiمشاهده پروفایل

دانشیار

• Distributed Systems
• Operating Systems
• Cloud Computing
• +۷ مورد دیگر

Dr. Heming Cui is an Associate Professor at the Department of Computer Science, University of Hong Kong, affiliated with the School of Computing and Data Science. He joined HKU in 2015 after completing his PhD at Columbia University, following bachelor's and master's degrees from Tsinghua University. His research focuses on distributed systems, operating systems, and high-performance computing, with a strong emphasis on reliability and security. Dr. Cui leads projects in distributed AI training systems, blockchain frameworks, and secure execution environments, collaborating closely with industries like Huawei. He has received notable awards including the Croucher Innovation Award (2016), HK$5 million RGC Research Impact Fund (2023), and best paper awards at ICSE and ACSAC. His work has led to commercialized systems such as Huawei's MindSpore integration of Fold3D and TICS' UTEE component derived from his secure systems research. Dr. Cui actively recruits PhD students specializing in systems security and database systems, prioritizing candidates with strong systems-building backgrounds. Key grants include leadership in projects totaling HK$30 million, including flagship collaborations with Huawei and RGC grants targeting transaction/analytical processing in edge computing and cloud security. His research spans over 50 publications in top venues like SOSP, NSDI, and IEEE journals, emphasizing reproducibility and industrial impact.