Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea
[#intro] [#members] [#projects] [#publications]

INTRODUCTION ☰

Privacy-Sensitive Heterogeneous Hypercomputing (PSHH) lab is led by Dr. Nhu-Ngoc Dao at the Department of Computer Science and Engineering, Sejong University, Seoul. Our lab investigates technological challenges in the research fields of networks, systems, and communications with the aim of intelligent people networking. Currently, we focus on developing cutting-edge solutions of network softwarization, mobile cloudification, intelligent systems, and the Intelligence of Things toward B5G/6G. Directly contact Nhu-Ngoc Dao if you are willing to be a member of our family. Korean and international citizens are all welcome!

Feature article: Dao NN et al., "Toward privacy-sensitive heterogeneous hypercomputing", IEEE Communications Magazine, vol. 62, no. 4, pp. 24-30, 2024. [IEEE]|[PDF]

MEMBERS ☰
  • Nhu-Ngoc Dao, Assistant Professor, Director
  • Tuan Anh Nguyen (Vietnam), PhD student since 3/2024
  • Teshager Hailemariam Moges (Ethiopia), MS student since 9/2022
  • Fayshal Ahmed (Bangladesh), MS student since 3/2023
  • Samuel Harry Gardner (UK), BS student since 3/2022
  • The-Vinh Nguyen (Vietnam), MS student, 9/2021~8/2023
    - Thesis title: QoE optimisation of video streaming services in RSMA networks: A deep reinforcement learning approach
    - Research achievement: [47] , [48] , [60]
    - Next place: LG Innotek Korea
PROJECTS ☰
  • Assisting natural beekeeping in rural and remote areas using LoRa-based IoT and drones, ISIF Asia (APNIC), 01/2023-06/2024.
  • Development of end-to-end 8 ultra-communication and networking technologies, IITP (Korea), 07/2022-12/2029.
  • Intelligent adaptive bitrate video streaming empowered by cross-tier user-centric edge caching systems, NRF (Korea), 03/2021-02/2024.
  • Hit ratio and content quality tradeoff for adaptive bitrate streaming in edge caching systems, IACF (SJU), 03/2020-02/2021.
BOOKS (CHAPTERS) ☰
  • Dao NN et al. [Eds], "Intelligence of things: Technologies and applications - Proceedings of the international conference on intelligence of things (ICIT)", Springer, Cham, Switzerland, 2022 and 2023 (vol. 1, vol. 2). [Springer]
  • Dao NN, Dinh NT, Pham QV, Phan TV, Cho S, and Braun T, "Vulnerabilities in fog/edge computing from architectural perspectives", Chapter 8, in Fog/edge computing for security, privacy, and applications, Wu J and Chang W [Eds], Springer, Cham, Switzerland, 2021. [Springer]
  • Dao NN, Tran QD, Dinh NT, Cho S, and Braun T, "Edge computing architectures", Chapter 2, in Edge computing: Models, technologies and applications, Taheri J and Deng S [Eds], The Institution of Engineering and Technology (IET), London, UK, 2020. [IET]
JOURNAL PUBLICATIONS [△] [▽] ☰
  1. Nguyen TH, Truong TP, Tran AT, Dao NN, Park L, and Cho S, "Intelligent heterogeneous aerial edge computing for advanced 5G access", IEEE Transactions on Network Science and Engineering. In press. [IEEE]
  2. Lakew DS, Tran AT, Dao NN, and Cho S, "Intelligent self-optimization for task offloading in LEO-MEC-assisted energy-harvesting-UAV systems", IEEE Transactions on Network Science and Engineering. In press. [IEEE]
  3. Dao NN, Na W, Cho S, and Dustdar S, "Toward privacy-sensitive heterogeneous hypercomputing", IEEE Communications Magazine, vol. 62, no. 4, pp. 24-30, 2024. [IEEE]
  4. Dao NN, Tu NH, Hoang TD, Nguyen TH, Nguyen LV, Lee K, Park L, Na W, and Cho S, "A review on new technologies in 3GPP standards for 5G access and beyond", Computer Networks, vol. 245, p. 110370, 2024. [Elsevier]
  5. Kim N, Na W, Lakew DS, Dao NN, and Cho S, "DQN-based directional MAC protocol in wireless ad hoc network in Internet of things", IEEE Internet of Things Journal, vol. 11, no. 7, pp. 12918-12928, 2024. [IEEE]
  6. Nguyen TV, Hua DT, Huong TH, Hoang VT, Dao NN, and Cho S, "Intelligent QoE management for IoMT streaming services in multi-user downlink RSMA networks", IEEE Internet of Things Journal, vol. 11, no. 7, pp. 12602-12618, 2024. [IEEE]
  7. Tran NP, Truong TP, Do QT, Dao NN, and Cho S, "Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems", Internet of Things, vol. 25, p. 101145, 2024. [Elsevier]
  8. Masood A, Dao NN, and Cho S, "Privacy-preserving intelligent content-caching scheme in heterogeneous aerial access networks", Expert Systems with Applications, vol. 243, p. 122834, 2024. [Elsevier]
  9. Samanta A, Pham QV, Dao NN, Muthanna A, and Cho S, "mISO: Incentivizing demand-agnostic microservices for edge-enabled IoT networks", IEEE Transactions on Services Computing, vol. 16, no. 5, pp. 3523-3536, 2023. [IEEE]
  10. Hua DT, Do QT, Dao NN, Nguyen TV, Lakew DS, and Cho S, "Learning-based reconfigurable intelligent surface-aided rate-splitting multiple access networks", IEEE Internet of Things Journal, vol. 10, no. 20, pp. 17603-17619, 2023. [IEEE]
  11. Le AT, Do DT, Dao NN, Nguyen ND, and Silva A, "New look at secure performance of massive MIMO with low-resolution DACs", ICT Express, vol. 9, no. 4, pp. 608-613, 2023. [Elsevier]
  12. Moges TH, Lakew DS, Nguyen NP, Dao NN, and Cho S, "Cellular Internet of things: Use cases, technologies, and future work", Internet of Things, vol. 24, p. 100910, 2023. [Elsevier]
  13. Masood A, Ha T, Lakew DS, Dao NN, and Cho S, "Intelligent TCP congestion control scheme in Internet of deep space things communication", IEEE Transactions on Network Science and Engineering, vol. 10, no. 3, pp. 1472-1486, 2023. [IEEE]
  14. Lakew DS, Tran AT, Dao NN, and Cho S, "Intelligent offloading and resource allocation in heterogeneous aerial access IoT networks", IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5704-5718, 2023. [IEEE]
  15. Na W, Kim N, Dao NN, and Cho S, "Machine learning-based communication failure identification scheme for directional industrial IoT networks", IEEE Systems Journal, vol. 17, no. 1, pp. 1559-1568, 2023. [IEEE]
  16. Truong TP, Tuong VD, Dao NN, and Cho S, "FlyReflect: Joint flying IRS trajectory and phase shift design using deep reinforcement learning", IEEE Internet of Things Journal, vol. 10, no. 5, pp. 4605-4620, 2023. [IEEE]
  17. Dao NN, Tu NH, Thanh TT, Bao VNQ, Na W, and Cho S, "Neglected infrastructures for 6G–Underwater communications: How mature are they?", Journal of Network and Computer Applications, vol. 213, p. 103595, 2023. [Elsevier]
  18. Nguyen TV, Nguyen NP, Kim C, and Dao NN, "Intelligent aerial video streaming: Achievements and challenges", Journal of Network and Computer Applications, vol. 211, p. 103564, 2023. [Elsevier]
  19. Nguyen TV, Tran AT, Dao NN, Moon H, and Cho S, "Information fusion on delivery: A survey on the roles of mobile edge caching systems", Information Fusion, vol. 89, pp. 486-509, 2023. [Elsevier]
  20. Dao NN, "Internet of wearable things: Advancements and benefits from 6G technologies", Future Generation Computer Systems, vol. 138, pp. 172-184, 2023. [Elsevier]
  21. Dao NN, Tran AT, Tu NH, Thanh TT, Bao VNQ, and Cho S, "A contemporary survey on live video streaming from a computation-driven perspective", ACM Computing Surveys, vol. 54, no. 10s, p. 202, 2022. [ACM]
  22. Dao NN, Do TH, Cho S, and Dustdar S, "Information revealed by vision: A review on the next-generation OCC standard for AIoV", IT Professional, vol. 24, no. 4, pp. 58-65, 2022. [IEEE]
  23. Lakew DS, Tuong VD, Dao NN, and Cho S, "Adaptive partial offloading and resource harmonization in wireless edge computing-assisted IoE networks", IEEE Transactions on Network Science and Engineering, vol. 9, no. 5, pp. 3028-3044, 2022. [IEEE]
  24. Vu DN, Dao NN, Na W, and Cho S, "Dynamic resource orchestration for service capability maximization in fog-enabled connected vehicle networks", IEEE Transactions on Cloud Computing, vol. 10, no. 3, pp. 1726-1737, 2022. [IEEE]
  25. Lakew DS, Na W, Dao NN, and Cho S, "Aerial energy orchestration for heterogeneous UAV-assisted wireless communications", IEEE Systems Journal, vol. 16, no. 2, pp. 2483-2494, 2022. [IEEE]
  26. Dao NN, Phan TV, Sa'ad U, Kim J, Bauschert T, Do DT, and Cho S, "Securing heterogeneous IoT with intelligent DDoS attack behavior learning", IEEE Systems Journal, vol. 16, no. 2, pp. 1974-1983, 2022. [IEEE]
  27. Dao NN, Vu DN, Na WS, Hoang TM, Do DT, and Cho S, "Adaptive bitrate streaming in multi-user downlink NOMA edge caching systems with imperfect SIC", Computer Networks, vol. 212, p. 109064, 2022. [Elsevier]
  28. Dao NN, Vu DN, Tran AT, Phan TV, Dustdar S, and Cho S, "On system stability in multitier roadside computing toward an intelligent transportation", IEEE Transactions on Network Science and Engineering, vol. 9, no. 3, pp. 1128-1138, 2022. [IEEE]
  29. Truong TP, Dao NN, and Cho S, "HAMEC-RSMA: Enhanced aerial computing systems with rate splitting multiple access", IEEE Access, vol. 10, pp. 52398-52409, 2022. [IEEE]
  30. Na W, Dao NN, and Cho S, "Reinforcement-learning-based spatial resource identification for IoT D2D communications", IEEE Systems Journal, vol. 16, no. 1, pp. 1068-1079, 2022. [IEEE]
  31. Nguyen TV, Dao NN, Tuong VD, Noh W, and Cho S, "User-aware and flexible proactive caching using LSTM and ensemble learning in IoT-MEC networks", IEEE Internet of Things Journal, vol. 9, no. 5, pp. 3251-3269, 2022. [IEEE]
  32. Sahu SK, Mohapatra DP, Rout JK, Sahoo KS, Pham QV, and Dao NN, "A LSTM-FCNN based multi-class intrusion detection using scalable framework", Computers and Electrical Engineering, vol. 99, p. 107720, 2022. [Elsevier]
  33. Do DT, Le AT, Xuan Ha ND, and Dao NN, "Physical layer security for Internet of things via reconfigurable intelligent surface", Future Generation Computer Systems, vol. 126, pp. 330-339, 2022. [Elsevier]
  34. Ramasubbareddy S, Ramasamy S, Sahoo KS, Kumar RL, Pham QV, and Dao NN, "CAVMS: Application-aware cloudlet adaption and VM selection framework for multi-cloudlet environment", IEEE Systems Journal, vol. 15, no. 4, pp. 5098-5106, 2021. [IEEE]
  35. Dao NN, Ngo DT, Dinh NT, Phan TV, Vo ND, Cho S, and Braun T, "Hit ratio and content quality tradeoff for adaptive bitrate streaming in edge caching systems", IEEE Systems Journal, vol. 15, no. 4, pp. 5094-5097, 2021. [IEEE]
  36. Tuong VD, Dao NN, Noh W, and Cho S, "Deep-reinforcement-learning-based hierarchical time-division-duplexing control for dense wireless and mobile networks", IEEE Transactions on Wireless Communications, vol. 20, no. 11, pp. 7135-7150, 2021. [IEEE]
  37. Dao NN, Pham QV, Tu NH, Thanh TT, Bao VNQ, Lakew DS, and Cho S, "Survey on aerial radio access networks: Toward a comprehensive 6G access infrastructure", IEEE Communications Surveys and Tutorials, vol. 23, no. 2, pp. 1193-1225, 2021. [IEEE]
  38. Dao NN, Pham QV, Do DT, and Dustdar S, "The sky is the edge - Toward mobile coverage from the sky", IEEE Internet Computing, vol. 25, no. 2, pp. 101-108, 2021. [IEEE]
  39. Dao NN, Na W, Tran AT, Nguyen DN, and Cho S, "Energy-efficient spectrum sensing for IoT devices", IEEE Systems Journal, vol. 15, no. 1, pp. 1077-1085, 2021. [IEEE]
  40. Pham QD, Dao NN, Nguyen-Thanh T, Cho S, and Pham HC, "Detachable web-based learning framework to overcome immature ICT infrastructure toward smart education", IEEE Access, vol. 9, pp. 34951-34961, 2021. [IEEE]
  41. Lee C, Jang G, Dao NN, Lakew DS, Lee C, Cho S, "Competitive game theoretic clustering-based multiple UAV-assisted NB-IoT systems", Electronics, vol. 10, no. 3, p. 356, 2021. [MDPI]
  42. Nguyen CT, Pham QV, Pham HGT, Dao NN, and Hwang WJ, "Computation offloading in cognitive radio NOMA-enabled multi-access edge computing systems", IET Communications, vol. 14, no. 19, pp. 3404-3409, 2020. [IET]
  43. Phan TV, Nguyen TG, Dao NN, Huong TT, Thanh NH, and Bauschert T, "DeepGuard: Efficient anomaly detection in SDN with fine-grained traffic flow monitoring", IEEE Transactions on Network and Service Management, vol. 17, no. 3, pp. 1349-1362, 2020. [IEEE]
  44. Lee Y, Jeong S, Masood A, Park L, Dao NN, and Cho S, "Trustful resource management for service allocation in fog-enabled intelligent transportation systems", IEEE Access, vol. 8, pp. 147313-147322, 2020. [IEEE]
  45. Tran AT, Dao NN, and Cho S, "Bitrate adaptation for video streaming services in edge caching systems", IEEE Access, vol. 8, pp. 135844-135852, 2020. [IEEE]
  46. Dao NN, Nguyen TT, Luong MQ, Nguyen-Thanh T, Na W, and Cho S, "Self-calibrated edge computation for unmodeled time-sensitive IoT offloading traffic", IEEE Access, vol. 8, pp. 110316-110323, 2020. [IEEE]
  47. Lakew DS, Sa'ad U, Dao NN, Na W, and Cho S, "Routing in flying ad hoc networks: A comprehensive survey", IEEE Communications Surveys and Tutorials, vol. 22, no. 2, pp. 1071-1120, 2020. [IEEE]
  48. Dao NN, Na W, and Cho S, "Mobile cloudization storytelling: Current issues from an optimization perspective", IEEE Internet Computing, vol. 24, no. 1, pp. 39-47, 2020. [IEEE]
  49. Na W, Dao NN, Kim J, Ryu ES, and Cho S, "Simulation and measurement: Feasibility study of tactile Internet applications for mmwave virtual reality", ETRI Journal, vol. 42, no. 2, pp. 163-174, 2020. [Wiley]
  50. Dao NN, Vu DN, Masood A, Na W, and Cho S, "Reliable broadcasting for safety services in dense infrastructureless peer-aware communications", Reliability Engineering and System Safety, vol. 193, p. 106655, 2020. [Elsevier]
  51. Dao NN, Na W, and Cho S, "IEEE 802.15.8: Infrastructureless peer-aware communications with fully distributed coordination", IEEE Communications Standards Magazine, vol. 3, no. 1, pp. 40-47, 2019. [IEEE]
  52. Na W, Jang S, Lee Y, Park L, Dao NN, and Cho S, "Frequency resource allocation and interference management in mobile edge computing for an Internet of things system", IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4910-4920, 2019. [IEEE]
  53. Dao NN, Park M, Kim J, Paek J, and Cho S, "Resource-aware relay selection for inter-cell interference avoidance in 5G heterogeneous network for Internet of things systems", Future Generation Computer Systems, vol. 93, pp. 877-887, 2019. [Elsevier]
  54. Vu DN, Dao NN, Jang Y, Na W, Kwon YB, Kang H, Jung JJ, and Cho S, "Joint energy and latency optimization for upstream IoT offloading services in fog radio access networks", Transactions on Emerging Telecommunications Technologies, vol. 30, no. 4, p. e3497, 2019. [Wiley]
  55. Dao NN, Vu DN, Na W, Kim J, and Cho S, "SGCO: Stabilized green crosshaul orchestration for dense IoT offloading services", IEEE Journal on Selected Areas in Communications, vol. 36, no. 11, pp. 2538-2548, 2018. [IEEE]
  56. Dao NN, Sa'ad U, Vu VC, Tran QD, Ryu ES, and Cho S, "A softwarized paradigm for mobile virtual networks: Overcoming a lack of access infrastructure", IEEE Vehicular Technology Magazine, vol. 13, no. 4, pp. 106-115, 2018. [IEEE]
  57. Na W, Lee Y, Dao NN, Vu DN, Masood A, and Cho S, "Directional link scheduling for real-time data processing in smart manufacturing system", IEEE Internet of Things Journal, vol. 5, no. 5, pp. 3661-3671, 2018. [IEEE]
  58. Mai L, Dao NN, and Park M, "Real-time task assignment approach leveraging reinforcement learning with evolution strategies for long-term latency minimization in fog computing", Sensors, vol. 18, no. 9, p. 2830, 2018. [MDPI]
  59. Dao NN, Vu DN, Lee Y, Cho S, Cho C, and Kim H, "Pattern-identified online task scheduling in multitier edge computing for industrial IoT services", Mobile Information Systems, vol. 2018, p. 2101206, 2018. [Hindawi]
  60. Dao NN, Kim Y, Jeong S, Park M, and Cho S, "Achievable multi-security levels for lightweight IoT-enabled devices in infrastructureless peer-aware communications", IEEE Access, vol. 5, pp. 26743-26753, 2017. [IEEE]
  61. Dao NN, Park M, Kim J, and Cho S, "Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform", PLoS ONE, vol. 12, no. 8, p. e0182527, 2017. [PLoS]
  62. Dao NN, Lee J, Vu DN, Paek J, Kim J, Cho S, Chung KS, and Keum C, "Adaptive resource balancing for serviceability maximization in fog radio access networks", IEEE Access, vol. 5, pp. 14548-14559, 2017. [IEEE]
  63. Dao NN, Kim J, Park M, and Cho S, "Adaptive suspicious prevention for defending DoS attacks in SDN-based convergent networks", PLoS ONE, vol. 11, no. 8, p. e0160375, 2016. [PLoS]
  64. Na W, Dao NN, and Cho S, "Mitigating WiFi interference to improve throughput for in-vehicle infotainment networks", IEEE Wireless Communications, vol. 23, no. 1, pp. 22-28, 2016. [IEEE]
  65. Na W, Dao NN, and Cho S, "Reliable multicasting service for densely deployed military sensor networks", International Journal of Distributed Sensor Networks, vol. 11, no. 8, p. 341912, 2015. [Hindawi]
CONFERENCE PUBLICATIONS [△] [▽] ☰
  1. Truong TP, Tran AT, Tuong VD, Dao NN, and Cho S, "NOMA-enhanced quantized uplink multi-user MIMO communications", IEEE International Conference on Computer Communications (INFOCOM), pp. , Vancouver, Canada, May 20-23, 2024. [IEEE]
  2. Truong TP, Nguyen TMT, Nguyen TV, Dao NN, and Cho S, "RSMA for uplink MIMO systems: DRL-based achievable system sum rate maximization", IEEE Global Communications Conference (GLOBECOM) | Workshops on Artificial Intelligence Enabled Next Generation Wireless Networks (GLOBECOM Wkshps), pp. 878-883, Kuala Lumpur, Malaysia, December 4-8, 2023. [IEEE]
  3. Nguyen TH, Truong TP, Dao NN, Na W, Park H, and Park L, "Deep reinforcement learning-based partial task offloading in high altitude platform-aided vehicular networks", IEEE International Conference on Information and Communication Technology Convergence (ICTC), pp. 1341-1346, Jeju island, Korea, October 19-21, 2022. [IEEE] (Best Paper Award)
  4. Tran AT, Lakew DS, Tran NP, Dao NN, and Cho S, "Delay-constrained quality maximization in RSMA-based video streaming networks", International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), pp. 276-280, Seoul, Korea, October 17-20, 2022. [ACM]
  5. Ha MQ, Phan VH, Nguyen BDQ, Nguyen HB, Do TH, Pham QD, and Dao NN, "Intelligent scene text recognition in streaming videos", International Conference on Intelligence of Things (ICIT), pp. 356-365, Hanoi, Vietnam, August 17-19, 2022. [Springer]
  6. Tuong VD, Dao NN, Noh W, and Cho S, "Dynamic time division duplexing for green Internet of things", IEEE International Conference on Information Networking (ICOIN), pp. 356-368, Jeju island, Korea, January 12-15, 2022. [IEEE]
  7. Le BL, Lam GH, Nguyen XV, Nguyen TM, Duong QL, Tran QD, Do TH, and Dao NN, "A deep learning based traffic sign detection for intelligent transportation systems", International Conference on Computational Data and Social Networks (CSoNet), pp. 129-137, Montreal, Canada, November 15-17, 2021. [Springer]
  8. Lakew DS, Tran AT, Dao NN, and Cho S, "Intelligent offloading and resource allocation in HAP-assisted MEC networks", IEEE International Conference on Information and Communication Technology Convergence (ICTC), pp. 1582-1587, Jeju island, Korea, October 20-22, 2021. [IEEE] (Best Paper Award)
  9. Nguyen XV, Lam GH, Le QN, Duong QL, Nguyen TM, Le BL, Tran QD, Do TH, and Dao NN, "Intelligent augmented video streaming services using lightweight QR code scanner", IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), pp. 103-107, Purwokerto, Indonesia, July 17-18, 2021. [IEEE]
  10. Pham QD, Do TH, Dao NN, Na W, Lee C, and Cho S, "A feasible study of cube sensing organization map for cognitive spectrum allocation", IEEE International Conference on Information Networking (ICOIN), pp. 858-863, Jeju island, Korea, January 13-16, 2021. [IEEE]
  11. Tran AT, Nguyen TV, Tuong VD, Dao NN, and Cho S, "On stalling minimization of adaptive bitrate video services in edge caching systems", IEEE International Conference on Information Networking (ICOIN), pp. 115-116, Barcelona, Spain, January 7-10, 2020. [IEEE]
  12. Vu DN, Dao NN, and Cho S, "Downlink sum-rate optimization leveraging Hungarian method in fog radio access networks", IEEE International Conference on Information Networking (ICOIN), pp. 56-60, Chiang Mai, Thailand, January 10-12, 2018. [IEEE]
  13. Dao NN, Park J, Park M, and Cho S, "A feasible method to combat against DDoS attack in SDN network", IEEE International Conference on Information Networking (ICOIN), pp. 309-311, Siem Reap, Cambodia, January 12-14, 2015. [IEEE]
PATENTS [△] ☰
  1. Cho S, Vu DN, and Dao NN, "The method for scheduling tasks in real time using pattern-identification in multitier edge computing and the system thereof", Korean patent KR102068676, January 15, 2020. [KIPRIS]
  2. Cho S, Vu DN, and Dao NN, "Dynamic resource orchestration for fog-enabled industrial Internet of things networks", Korean patent KR102056894, December 17, 2019. [KIPRIS]
  3. Cho S and Dao NN, "Method and apparatus for sharing secret key", Korean patent KR101987411, June 11, 2019. [KIPRIS]
  4. Cho S, Dao NN, Park L, Lee J, Eom J, and Kim Y, "Network system for mobile virtual network operator based on software-defined networking and its operating method", Korean patent KR101905665, October 10, 2018. [KIPRIS]
  5. Cho S, Dao NN, Park L, Jang S, Eom J, and Kim Y, "Method and apparatus for adaptive parameter selection for sensor network", Korean patent KR101871492, June 28, 2018. [KIPRIS]