“Life is like a box of chocolates, you never know what you’re gonna get”— Forrest Gump

Md Tariqul Islam

PhD Student

tariqsaj [at] dca.fee.unicamp.br| mtarislam [at] gmail.com

About Me

I am currently enrolled in the PhD program under the supervision of Prof. Dr. Christian Esteve Rothenberg in the Department of Computer Engineering and Industrial Automation (DCA), School of Electrical and Computer Engineering (FEEC) at the University of Campinas (UNICAMP), Brazil. I am also part of the INTRIG as a graduate research assistant.
I received MSc in Computer Engineering from FEEC/UNICAMP, Brazil, in 2021 and BSc in Information and Communication Technology from Mawlana Bhashani Science and Technology University, Bangladesh, in 2018.

Research

My current research interest is centered around enhancing network performance and Quality of Experience (QoE) for emerging eXtended reality (XR) services by incorporating 5G and Beyond networks, Edge Computing, OpenRAN architecture, and Machine Learning (ML) techniques. I am currently exploring 360-VR streaming use cases, investigating ML-based network-level measurement correlation and analysis with user QoE, and the feasibility of such correlation and analysis in the OpenRAN architecture or dataplane context. I am also interested in offloading XR computational tasks to network edge to optimize XR performance. My past work includes predicting traditional DASH video QoE metrics at the network edge using ML models for performance optimization.

Recent News

  • I have been selected for NetSoft Student Travel Grant, sponsored by IEEE ComSoc, Spain (2023).
  • My work titled Predicting XR Services QoE with ML: Insights from In-band Encrypted QoS Features in 360-VR has been accepted for publication at Netsoft (2023). Thanks to all co-authors!
  • I have been selected for NOMS Student Travel Grant, sponsored by IEEE ComSoc, USA (2023).
  • Our work titled EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic has been accepted for publication at NOMS (2023). Kudos to every collaborator!
  • I have attended IEEE GLOBECOM’s workshops and tutorials in Brazil (2022).
  • I have participated in the COST CA20120 INTERACT Summer School (virtually) on O-RAN in Poland (2022).
  • Our work titled Machine Learning-Assisted Closed-Control Loops for Automated Healing in Multi-Domain Zero-Touch Networks has been accepted for publication in the Journal of Network and Systems Management (2022). Kudos to every collaborator!
  • I have received certification in Huawei HCIA-5G (2021).
  • I have successfully defended my MSc defense (2021). Thanks to all who supported me on this journey.

    • Research Project

  • SMARTNESS 2030: SMART Networks and Services for 2030, Research Lab: INTRIG, External Collaborators: FAPESP and Ericsson, 2023 – Present.
  • 5G Services in Programmable Networks with Machine Learning Capabilities, Research Lab: INTRIG, External Collaborators: Ericsson, 2022.
  • CLAML: Control Loop Architecture with Adaptive Policy and Machine Learning Capabilities, Research Lab: INTRIG, External Collaborators: Ericsson, 2019-2021.
  • NECOS: Novel Enablers for Cloud Slicing, Research Lab: INTRIG, 2018-2019.

    • Publications

  • (Conference) Predicting XR Services QoE with ML: Insights from In-band Encrypted QoS Features in 360-VR. Md Tariqul Islam, Christian Esteve Rothenberg, Pedro Henrique Gomes. To Appear In  NetSoft, Technical Session, 2023. [PDF]

  • (Conference) EFFECTOR: DASH QoE and QoS Evaluation Framework For EnCrypTed videO tRaffic. Raza Ul Mustafa, Md Tariqul Islam, Christian Esteve Rothenberg, Pedro Henrique Gomes. To Appear In  NOMS, Technical Session, 2023. [PDF]

  • (Journal) Machine Learning-Assisted Closed-Control Loops for Automated Healing in Multi-Domain Zero-Touch Networks. Nathan Saraiva, Md Tariqul Islam, Raza Ul Mustafa, Danny Lachos Perez, Christian Esteve Rothenberg, Pedro Henrique Gomes. In Journal of Network and Systems Management, 2022. [PDF]

  • (Workshop) DASH QoE Performance Evaluation Framework with 5G Datasets. Raza Ul Mustafa, Md Tariqul Islam, Christian Esteve Rothenberg, Simone Ferlin, Darijo Raca, Jason J. Quinlan. In CNSM, Workshop, 2020. [PDF] [Video] [GitHub]

  • (Workshop) HAS Based Empirical QoE Study over TCP and QUIC on Diverse Networks. Md Tariqul Islam, Christian Esteve Rothenberg. In VII Pre-IETF, Workshop, 2020. [Slides] [Video]

  • (Demo) Intent-based Control Loop for DASH Video Service Assurance using ML-based Edge QoE Estimation. Christian Esteve Rothenberg, Danny Lachos Perez, Nathan Saraiva, Raphael Rosa, Raza Ul Mustafa, Md Tariqul Islam Pedro Henrique Gomes. In NetSoft, Demo Session, 2020. [PDF] [Video]

  • (Poster) QoE Estimation by Virtual Probe at Edge Computing Facilities. Md Tariqul Islam, Christian Esteve Rothenberg. In  XII EADCA Poster Session, 2019.

    • Thesis

  • (MSc) A predictive DASH QoE approach based on machine learning at multi-access edge computing: Uma abordagem preditiva de DASH QoE baseada em aprendizado de máquina em multi-access edge computing. Md Tariqul Islam. 1 recurso online (108 p.) Dissertação (mestrado) – Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação, Campinas, SP. Disponível em:  https://hdl.handle.net/20.500.12733/1641360, Acesso em: 10 nov. 2022.