Lam Duc Nguyen

♦ Member at Hyperledger-labs

♦ Member at IEEE

I love to do some things with Blockchain, Smart Contract, DEFI in IoT connectivity and Market-oriented research.

News

♦ "An Empirical Study on Snapshot DAOs" is submitted to IEEE ICBC 2023 in Dubai

♦ New interesting work called FedToken is accepted at NeurIPS 2022 Federated Learning

♦ New Research on Federated Learning Client Selection: [A Contribution-based Device Selection Scheme in Federated Learning]

♦ New interesting work with Siemens AG partner on "Analysis of Distributed Ledger Technologies for Industrial Manufacturing" is submitted to Nature Scientific Reports

♦ [New Acceptance] New research on collaborative of Blockchain, Distributed Learning in Edge Environment is published in IEEE Transactions on Green Communication and Networking, the great collaborative between Siemens AG, AAU, and University of Oulu. [PDF]

♦ [Best Paper Award] for a Blockchain-based green solution for Edge Networks in Transportation Area at VEHITS 2021

♦ Honorable Prize [Link] for Blockchain-based Air Pollution Monitoring in IEEE ComSoc Student Competition 2020.

♦ "B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks" has been accepted at VEHITS 2021

♦ "Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response", a solution for Covid 19, has been accepted in Frontiers in Communications and Networks [Impact Factor: ]

♦ Blockchain-based IoT data trading over City-level Networks paper has been accepted at IEEE Internet of Things Jouranl [Impact Factor: 9.908]

♦ Blockchain NB-IoT paper got accepted at IEEE Communication Magazine [Impact Factor: 11.05]

♦ Communication Aspects of Blockchain-based IoT paper got accepted at IEEE Network [Impact Factor: 8.8]

♦ Scaling Blockchain paper got accepted at IEEE WF-IoT 2020, News Orlean, USA

♦ [Outstanding Paper Award] at WF-IoT 2020

♦ Joining Aalborg University as PhD Fellow since 2020. Thanks, Petar.

♦ Co-Founder of Adu9 - I learned (and paid) a lot from my first unseccessull startup, it was a painful with lots of hard works, day and night of thinking, developing in a year, etc, but worth it!

♦ Graduated Master Degree at Seoul National University - September 2018

Bio

Lam Duc Nguyen pursued a Ph.D. degree at Aalborg University in 2021. He obtained a Master's Degree in Computer Science at Seoul National University, and a Bachelor's in Telecommunication at Hanoi University of Science and Technologies in 2018 and 2015, respectively. His research interest includes building Distributed Systems, Blockchain, and Data Marketplace based on Smart Contracts, and applying Blockchain and Federated Learning to enhance the efficiency of Blockchain-based IoT monitoring Networks.
He is a key Blockchain contributor to the European-funded Project namely INTELLIOT. In these projects, he contributed his knowledge on Blockchain and Wireless IoT systems and practically implemented Blockchain and Smart Contract for cross-domain applications. He worked as a Blockchain Researcher in SIEMENS AG, Munich in line with the INTELLIOT project to build PoCs and infrastructure for shared Manufacturing over 5G network, Digital Twin, and Data Marketplace applications, in which he shows his expertise on the development of Ethereum, IOTA, Hyperledger Fabric, Quorum as well as Wireless IoT systems. He receives OUTSTANDING RESEARCH AWARD for the research about scaling Blockchain in Massive IoT at the IEEE World Forum Internet of Things 2020, travels grant from Linux Foundation 2020, BEST RESEARCH AWARD for a solution of Blockchain-based CO2 Emission Trading from VEHITS 2021. He is IEEE and Hyperledger Member. He was Co-Founder of Adu9 - an IoT startup on Smarthome.

Education

♦ PhD. Fellow [2021] | Department of Electronics Systems | Aalborg University, Denmark. Advisor: Prof. Petar Popovski, Prof. Israel Leyva-Mayorga

- PhD Thesis: Blockchain for Internet of Things: Data Markets, Learning and Substainability.

♦ M.Sc. Student [2018] | Computer Science and Engineering | Seoul National University (SNU), South Korea . Advisor: Prof. Chong-Kwon Kim

- Master Thesis: Towards Efficient Load Balancing Strategy of RPL Routing Protocol in IoT Networks.

♦ B.Sc. [2015] | Electronics and Telecommunications | Hanoi University of Science and Technology (HUST), Vietnam. Advisor: Prof. Nguyen Huu Thanh

International Awards

♦ [Best Research Paper Award] [Link] at the International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) 2021

♦ [Outstanding Paper Award] [Link] at IEEE World Forum of Internet of Things (WF-IoT) 2020

♦ [Best Research Paper Award] [Link] at International Workshop Asia Pacific Advanced Malaysia 2015

♦ Honorable Prize [Link] in IEEE ComSoc Student Competition 2020.

♦ Winner of Student's Scientific Research Competition , HUST, Vietnam 2015

♦ Global Scholarship Award for Outstanding Graduate Student, Seoul, South Korea, 2017.

♦ First Prize in 32nd Student's Scientific Research Contest, FET-HUST, Vietnam 2015.

♦ Global Scholarship Research Excellence Student Award 2017

♦ Talent Student Award at DTS Company

♦ Global Internship student at GIST SCENT 2015.

♦ Gold & Bronze Medal, Vietnamese Football Student 2015 - 2016.

Selected Publications

Note:
- Materials presented here are to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
- Impact Factors are updated as of June, 2019.

Journal Articles

13. FedToken: Tokenized Incentives for Data Contribution in Federated Learning
Shashi Raj Pandey, Lam Duc Nguyen, Petar Popovski
NeurIPS 2022 Federated Learning (2022)
[paper]

12. Self-Healing Secure Blockchain Framework in Microgrids
Rath Suman, Lam D. Nguyen, ,Subham Sahoo and Petar Popovski
IEEE Transaction on Smart Grid (2022)
[paper] [Impact Factor: 4.36]

11. A Contribution-based Device Selection Scheme in Federated Learning
Shashi Raj Pandey, Lam D. Nguyen, Petar Popovski
IEEE Communication Letters (2022)
[paper] [Impact Factor: 4.36]

10. Analysis of Distributed Ledger Technologies for Industrial Manufacturing
Lam Duc Nguyen, Arne Broring, Massimo Pizzol, and Petar Popovski
Nature Science Report (2022)
[paper] [Impact Factor: 4.379]

9. "A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data"
Lam D. Nguyen, Shashi Raj Pandey, Beatriz Soret, Broeing Arne, and Petar Popovski.
IEEE Transactions on Network Science and Engineering [Under Review] (2021) .
[paper] [Impact Factor:3.894]

8. "Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs."
Soret Beatriz, Lam D. Nguyen , Jan Seeger, Arne Bröring, Chaouki, Sumudu, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, and Petar Popovski.
IEEE Transactions on Green Communications and Networking (2021).
[paper] [Impact Factor: 5.496]

7. "Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response"
Carrillo, D., Lam D. Nguyen, Nardelli, P.H., Pournaras, E., Morita, P., Rodríguez, Dzaferagic, Siljak, Jung, A., Hébert, Macaluso, and Ullah, Petar Popovski.
Frontiers of Communication Journal (2020) .
[paper] [Impact Factor:]

6. "Modeling and Analysis of Market Blockchain-based Data Trading in NB-IoT Networks"
Lam Duc Nguyen, I. Leyva-Mayorga, Amari N. Lewis, and Petar Popovski.
IEEE Internet of Things Journal, (2021)
[paper] [Impact Factor: 9.9086]

5. "Trusted Wireless Monitoring Based on Distributed Ledgers over NB-IoT Connectivity,"
Lam D. Nguyen, A. E. Kalor, I. Leyva-Mayorga and P. Popovski,
IEEE Communications Magazine (2020)
[paper] [Impact Factor: 11.05]

4. "Communication aspects of the integration of wireless iot devices with distributed ledger technology."
Danzi, Pietro, Anders E. Kalor, Rene B. Sorensen, Alexander K. Hagelskjær, Lam D. Nguyen , Cedomir Stefanovic, and Petar Popovski.
IEEE Network (2019)
[paper] [Impact Factor: 8.8]

3. "Towards skewness and balancing of RPL trees for the internet of things."
Lam D. Nguyen, and Chong-Kwon Kim.
IEEE Transactions on Vehicular Technology (2019).
[paper] [Impact Factor:5.978]

2. "Toward efficient dynamic virtual network embedding strategy for cloud networks."
Lam D. Nguyen , Byun H, Kim N, Kim C-K.
International Journal of Distributed Sensor Networks (2018).
IJDSN | PDF [Impact Factor: 1.7878]

1. "A generalized resource allocation framework in support of multi-layer virtual network embedding based on SDN."
Nguyen, Huu Thanh, Anh Vu Vu, Duc Lam Nguyen , Manh Nam Tran, Quynh Thu Ngo, Thu-Huong Truong, Tai Hung Nguyen, and Thomas Magedanz.
Computer Networks 92 (2015)
Elsevier | PDF (Impact Factor: 4.474)

Conference Papers

5. "An Empirical Study on Snapshot DAOs"
Wang Qin, Yu G, Sai Y, Sun C,Lam Nguyen , Xu Sherry, Chen Shiping
IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2023 .

4. "B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks"
Lam Duc Nguyen , Amari N. Lewis, Israel Leyva-Mayorga, Amelia Regan, Petar Popovski.
7th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) 2021
[Best Paper Award] [paper]

3. Witness-based Approach for Scaling Distributed Ledgers to Massive IoT Scenarios
Lam Nguyen , Israel Leyva-Mayorga, and Petar Popovski.
IEEE World Forum Internet of Things (WF-IoT) (2020) .
[Outstanding Paper Award]

2. RT-VNE: A Real-time Strategy for Virtual Network Embedding Towards Resource Efficiency
Duc-Lam Nguyen, Chong-Kwon Kim.
The 31st International Conference on Information Networking (ICOIN) 2017
IEEE | PDF

1. Constructing Energy-Aware Software Defined Networking
Tranh Manh Nam, Nguyen Huu Thanh, Kim Bao Long, Lam Nguyen , Nguyen Van Huynh, Nguyen Van Ca.
Proceedings of Asia-Pacific Advanced Network Research Workshop (APAN-NRW), Malaysia, 2015
JournalSFU | PDF [Best Paper Award]

Patents

1. Kim, Seo Hyang, Duc Lam Nguyen, K. I. M. Naeon, Chong Kwon Kim, and Gihwan Cho. "Scheduling method and apparatus." U.S. Patent 10,412,751, issued September 10, 2019.

Projects

I am interested in understanding how the Blockchain system intergated to Internet of Things and exploiting certain properties of Data Mining to improve the performance and resilience of network. My ongoing research topics include: Blockchain and Federated Learning in Edge Networks, Distributed Learning and Valuation of Data, Data Marketplace

The list of my talks and implementations of Blockchain-based applications in my research. [updating]

♦ Blockchain Architect at EU-H2020 Project: IntellIoT: The Next Generation IoT

IntellIoT is a Pan-European project focusing on developing integrated, distributed, human-centred and trustworthy IoT frameworks, applicable to agriculture, healthcare, manufacturing, energy, construction, and smart city. Enabling technologies such as 5G, cybersecurity, distributed technology, Augmented Reality and tactile internet, IntellIoT champions end-user trust, adequate security and privacy by design. IntellIoT developed an architectural framework to enable IoT environments for semi-autonomous applications endowed with intelligence, built-in security and trust, and evolving with the human-in-the-loop. The IntellIoT project mainly focuses on three research aspects and associated next-generation IoT capability component areas, namely collaborative intelligent systems (IoT), human interaction with the intelligent systems and that all these activities are performed in a trustworthy and secure way. These aspects result in three pillars along with IntellIoT’s dynamically managed network and compute infrastructure which are depicted and shortly described below.

[ https://intelliot.eu/ / https://cordis.europa.eu/project/id/957218] [Code]

♦ PhD Research at EU-H2020 Project: Willow: WIreLess LOWband communications: massive and ultra-reliable access

The overall objective of WILLOW is to make wireless communication a true commodity by enabling lowband communications: low-rate links for massive number of devices and ultra-reliable connectivity. This research effort is a major endeavour in the area of wireless communications, taking a different path from the mainstream research that aims at “4G, but faster”. Lowband communication is the key to enabling new applications, such as massive sensing, ultra-reliable vehicular links and wireless cloud connectivity with guaranteed minimal rate. The research in WILLOW is centred on two fundamental issues. First, it is the efficient communication with short packets, in which the data size is comparable to the size of the metadata, i.e. control information, which is not the case in broadband communication. Communication of short packets that come from a massive number of devices and/or need to meet a latency constraint requires fundamental rethinking of the packet structure and the associated communication protocols. Second is the system architecture in which graceful rate degradation, low latency and massive access can exist simultaneously with the broadband services. The principles from WILLOW will be applied to: (a) clean-slate wireless systems; (b) reengineer existing wireless systems. Option (b) is unique to lowband communication that does not require high physical-layer speed, but can reuse the physical layer of an existing system and redefine the metadata/data relationship to achieve massive/ultra-reliable communication. WILLOW carries high risk by conjecturing that it is possible to support an unprecedented number of connected devices and wireless reliability levels. Considering the timeliness and the relevance, the strong track record of the PI and the rich wireless research environment at Aalborg University, WILLOW is poised to make a breakthrough towards lowband communications and create the technology that will enable a plethora of new wireless usage modes.

[ https://cordis.europa.eu/project/id/648382 ] [Code]

♦ Technical Leader at: TRUEDIP: TRUsted decentralized Eldercare DurIng a Pandemic

Taking care of the elderly population is of crucial significance during a pandemic due to (1) higher mortality rate and (2) longer times for which they are affected by lockdown; that is, they may have the most restricted movement. Caregivers need to help seniors not only in household tasks but also buying groceries, shop for supplies or transport them to another place. All this must be done by people that, with a high likelihood, are negative for the virus. The proposed TRUEDIP system is expected to help via a mobile APP and a webpage to find the best match between certified caregivers and seniors. The proposed solution – and our main innovation – is to build such a platform based on the blockchain technology, for increased security and privacy.

[ Hackathon Page] [Code]

♦ Problem: Blockchain-based IoT Monioring over NB-IoT

The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders. This makes it prone to abuse or tampering and brings forward the need to integrate IoT with a Distributed Ledger Technology (DLT) to collect, store, and protect the IoT data. However, DLT brings an additional overhead to the frugal IoT connectivity and symmetrizes the IoT traffic, thus changing the usual assumption that IoT is uplink-oriented. We have implemented a platform that integrates DLTs with a monitoring system based on narrowband IoT (NB-IoT). We evaluate the performance and discuss the tradeoffs in two use cases: data authorization and real-time monitoring.

[ Paper] [Code]

Work Experiences

♦ Blockchain Solution Architect at Siemens AG, Munich, Germany [2021-2022]

♦ Blockchain Architect at European-H2020 IntellIoT [2020-2021]

♦ PhD Blockchain Researcher at Aalborg University [2019-2022]

♦ Research Assistant. Singapore University of Technology and Design (SUTD) [2015]

♦ Summer Intern . Gwangju Institute of Science and Technology (GIST) [2015]

♦ Research Student. Future Internet Laboratory (HUST) [2013-2015]

♦ Junior RnD staff . Bkav Corporation - Antivirus Software, Internet Security [2011-2013]

Professional Services

Memberships:

Reviewer for Journals & Conferences:

Member of Technical Program Committee (TPC)

Acknowledgement

I am lucky enough to have a chance to work with my current supervisor (Prof. Petar Popovski) who is one of the leading persons in Wireless Connecitivty field and I would like to express my deepest gratitude to my current supervisor (Prof. Petar Popovski) and former advisors Prof. Chong-Kwon Kim and Prof. Nguyen Huu Thanh for supporting and guiding me during my studies in Graduate and Undergraduate school. I always find them an in-depth source of knowledge and I am tremendously inspired by their way of doing Research.