About me

Hello! My name is Rounak Saha Niloy, and I am a doctoral student at the University of New South Wales Sydney. My research focuses on the intersection of composite materials, automated manufacturing and machine learning.

I have completed Master of Engineering (Research) in Mechanical Engineering from University of New South Wales. At UNSW, I worked closely with MDO Lab where I conducted research on the field of evolutionary computation with a focus on multi-objective multi-concept optimization.

Before moving to Australia, I obtained Bachelor of Science in Naval Architecture & Marine Engineering from Bangladesh University of Engineering & Technology. Upon completion of bachelors, I have worked in various roles that have allowed me to hone my skills in ship design and project management.

When I am not working, you can find me exploring the great outdoors with my camera in hand. I love capturing the beauty of nature through photography, whether it's the serene landscapes or the intricate details of wildlife and plants. I am always up for a new adventure, and my passion for nature photography continually inspires my professional work. My interests outside of work help me stay balanced and inspired, and I often draw on these experiences in my professional life.

I am always eager to connect with like-minded individuals or potential collaborators. If you are interested in working together, discussing ideas, feel free to reach out through email.

Thank you for visiting my website. I look forward to connecting with you!

Resume

Education

  1. University of New South Wales

    Master of Engineering (Research) in Mechanical Engineering
    2022 — 2024

    Thesis: Investigation of test problems and algorithmic strategies for multi-objective multi-concept optimization
    [Read] [Cite]

  2. Bangladesh University of Engineering & Technology

    Bachelor of Science in Naval Architecture & Marine Engineering
    2014 — 2018

    Thesis: Hydrodynamic performance analysis of a hydrofoil supported high-speed vessel using computational fluid dynamics

Research Experience

  1. Casual Research Assistant (Part time)

    School of Business
    University of New South Wales Canberra
    May 2024 — Present
    • Conducting research on multi-objective optimization with deep uncertainties.

Teaching Experience

  1. Guest Lecturer, Research Methodology

    CRP Nursing College
    Feb 2024 — Mar 2024
    • Developed and delivered lectures on research methodology concepts and practices.
    • Provided instruction on various research designs, data collection methods, and data analysis techniques.
    • Offered one-on-one mentoring to support students in their individual research endeavors.
  2. Course Facilitator, Short Course on Ship Design Software (Rhinoceros & Maxsurf)

    Department of Naval Architecture & Offshore Engineering
    Bangabandhu Sheikh Mujibur Rahman Maritime University
    Feb 2020 — Mar 2020

    [Download Course Outline]

  3. Course Facilitator, Short Course on Ship Design Software

    Department of Naval Architecture & Marine Engineering
    Military Institute of Science & Technology
    Feb 2020 — Feb 2020

    [Download Course Outline]

Work Experience

  1. Naval Architect (Full time)

    ShipDyn Ltd.
    Jan 2020 — Jan 2022
    • Managed daily project activities, supervising dredging production on and off-site for operational efficiency and timeline adherence.
    • Managed technical aspects, overseeing dredging equipment repair and maintenance, promptly addressing issues to minimize downtime.
    • Supervised assembly, commissioning, ensuring adherence to specifications and quality standards while maintaining effective communication with suppliers for timely spare parts procurement.
    • Generated comprehensive reports documenting project progress, milestones, and outcomes for transparent tracking of all project activities.
  2. Assistant Naval Architect (Full time)

    ShipDyn Ltd.
    Jan 2019 — Dec 2019
    • Developed a 3D model for the patented Y-Hull, showcasing advanced design skills.
    • Conducted detailed hydrodynamic performance analyses on designed vessels, contributing to the optimization of their operational efficiency.
    • Supervised construction of vessel, ensuring alignment with design specifications and project timelines.
    • Played a key role in preparing production drawings for upcoming vessel construction projects.
    • Ensured drawing accuracy and clarity for seamless communication between design and production teams.

Technical Skills

    <strong>Simulation Skills</strong>
    • Simulation
      ANSYS
      Abaqus
      Maxsurf
    • CAD/CAM
      AutoCAD
      Rhinoceros
      Fusion 360
    • Programming Language
      MATLAB
      Python
      Visual Basic for Conference Paper

Training

  1. Graduate Teaching Training Program

    University of New South Wales
    Jun 2023 — Oct 2023
  2. Personalized English Language Enhancement

    University of New South Wales
    Sep 2022 — Nov 2022

Graduate Awards and Scholarship

  1. Australian Research Council Support Grant (Discovery Project DP220101649)

    Dec 2023
    • AUD 1,000 for attending the 2023 Workshop on AI-based Optimisation (AI-OPT 2023) at Melbourne, Australia
  2. IEEE CIS Student Travel Grant

    Dec 2023
    • USD 1,000 for attending the 2023 IEEE Symposium Series on Computational Intelligence (SSCI) at Mexico City, Mexico
  3. Tuition Fee Scholarship, University of New South Wales

    Feb 2022 - Feb 2024
    • Waiver of tuition fees along with a living allowance of AUD 35,000 p.a. for Master of Engineering (Research)

Achievements

  1. 2nd Runners Up

    8th International Student Design Competition for a Safe and Affordable Ferry
    Organized By: Worldwide Ferry Safety Association
    Watch Submission Video

Memberships

  1. Student Menber

    Institute of Electrical and Electronics Engineers
    IEEE Member ID: 98859993
  2. Student Menber

    Royal Institution of Naval Architects
    RINA Member ID: 00186350
  3. Student Menber

    Engineers Australia
    EA Member ID: 9942598

Publications

2024

  1. R. S. Niloy, M. S. Islam, A. Jahin, M. R. Mozumder and R. Ahmed, "Machine learning-based resistance prediction of AMECRC hull," in Proceedings of 24th Australasian Fluid Mechanics Conference (AMFC 2024), Canberra, ACT, Australia, paper no.: AFMC2024-108, doi: 10.5281/zenodo.14213316.
  2. R. S. Niloy, R. Ahmed, and M. R. Mozumder, "Investigation of the performances of variants of MOEA/D on bulk carrier design problem," in 14th International Conference on Marine Technology (MARTEC 2024), Johor Bahru, Malaysia, pp. 255-260.
  3. R. Ahmed, R. S. Niloy, M. R. Mozumder and T. A. Shanto, "Application of fused filament fabrication in marine sector, from rapid prototyping to final product," in 14th International Conference on Marine Technology (MARTEC 2024), Johor Bahru, Malaysia, pp. 57-63.
  4. M. R. Mozumder, R. S. Niloy, R. Ahmed and K. Ahmed, "Assessing environmental risks in dredging operations: a case study of Pabna district, Bangladesh," in 14th International Conference on Marine Technology (MARTEC 2024), Johor Bahru, Malaysia, pp. 172-177.
  5. R. S. Niloy, H. K. Singh, and T. Ray, "A benchmark test suite for evolutionary multi-objective multi-concept optimization," Swarm and Evolutionary Computation, vol. 84, pp. 101429, Feb. 2024, doi: 10.1016/j.swevo.2023.101429.
    [Cite] [Code]

2023

  1. R. S. Niloy, "Multi-Concept Optimization: Challenges and Opportunities," presented at the 2023 Workshop on AI-based Optimisation (AI-OPT 2023), Melbourne, Australia, December 2023.
    [Abstract] [Slide] [Cite]
  2. R. S. Niloy, H. K. Singh and T. Ray, "A brief review of multi-concept multi-objective optimization problems," in 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, pp. 1511—1517, doi: 10.1109/SSCI52147.2023.10371911.
    [Cite] [Code]

2022

  1. R. S. Niloy, M. J. Dipto and M. M. M. Hassan, "Hydrodynamic performance analysis of a hydrofoil supported high-speed vessel using computational fluid dynamics," in International Conference on Marine Technology, Dhaka, Bangladesh, 2022, pp. 29-1—29-5, doi: 10.2139/ssrn.4451487.
    [Cite]

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