MIST Applications

Department of Nuclear Science & Engineering (NSE)

Md. Tariqur Rahman Shaon

Lecturer, Department of Nuclear Science & Engineering (NSE)

Md Tariqur Rahman Shaon

PhD Fellow | M.Sc. | B.Sc.

 

CONTACT INFORMATION

Address: House # 1310, Road # 18, Mirpur DOHS, Dhaka - 1216, Bangladesh

Phone: +8801821444604 | +79623237550

Email: potterh274@gmail.com | mssharon@urfu.me

Date of Birth: January 1, 1998

Nationality: Bangladeshi

 

PROFESSIONAL SUMMARY

Highly motivated Nuclear Science and Engineering professional with expertise in thermal power systems, energy system modelling, reactor safety analysis, and environmental impact assessment. Experienced Research Engineer with extensive experience in reactor dynamics, safety evaluation, and greenhouse gas emission reduction strategies.

EDUCATION

Postgraduate Degree | 2023-Continue | Ural Federal University, Yekaterinburg, Russian Federation

Thermal Power and Heat Engineering (Expected Date of Graduation: 30/06/2027)

  • Proposed Dissertation Topic: " Advancing Biomass Gasification Technologies for Sustainable Energy Solutions in Bangladesh: Experimental and Computational Approaches ".

Master of Science in Engineering (M.Sc. Eng) | 2021-2023 | Ural Federal University, Yekaterinburg, Russian Federation

Thermal Power and Heat Engineering

  • GPA: 5.00/5.00
  • Thesis: "Analyzing the prospects for Bangladesh's Energy Development and Greenhouse Gas Emission Reductions".

Bachelor of Science in Engineering (B.Sc. Eng) | 2016-2020 | Military Institute of Science and Technology (MIST), Dhaka, Bangladesh

Nuclear Science and Engineering

  • CGPA: 3.75/4.00 (First Class Honours)
  • Thesis: "Analysis of Transient Response and Safety Evaluation of PWR Type Reactor".

Higher Secondary Certificate (HSC) | 2013-2015

  • Notre Dame College, Dhaka, Bangladesh | Science Group | GPA: 5.00/5.00

Secondary School Certificate (SSC) | 2008-2013

  • Cumilla Zilla School, Cumilla, Bangladesh | Science Group | GPA: 5.00/5.00

PROFESSIONAL EXPERIENCE

Research Engineer | 2024-2025 | Department of Thermal Power and Heat Engineering | Ural Federal University, Yekaterinburg, Russian Federation

  • Conducted advanced research in thermal power systems and heat engineering applications
  • Performed carbon footprint analysis of fossil fuel power plants
  • Developed enhanced CO₂ capture methodologies through thermogravimetric analysis
  • Collaborated on interdisciplinary research projects combining engineering with environmental impact assessment

ADDITIONAL CERTIFICATIONS

Project Management in Modern Companies | 2022 | National University of Science and Technology (MISIS), Moscow, Russian Federation

  • Duration: February 14 - July 2, 2022 (4 credit units)
  • Competencies: Strategic management, corporate project management, risk assessment

Philosophy of Science | 2023 | Ural Federal University, Yekaterinburg, Russian Federation

  • Duration: September 1 - December 15, 2023
  • Competencies: Scientific methodology, critical thinking, ethical considerations in research

Economic Efficiency of Technical Solutions | 2023 | Ural Federal University, Yekaterinburg, Russian Federation

  • Duration: February 12 - July 2, 2023
  • Competencies: Economic analysis, technical solution evaluation, cost-benefit analysis

RESEARCH PUBLICATIONS

  1. Rahman, S. M. T., Hashan, A. M., Sharon, M. M. R., & Saha, S. (2024). Carbon footprint analysis of fossil power plants in Bangladesh: measuring the impact of $CO_2$ and greenhouse gas emissions. Discover Environment2(1). https://doi.org/10.1007/s44274-024-00081-x
  2. Rahman, S. M. T., Joarder, M. S. A., Hashan, A. M., Rahman, S. M. M., & Ali, R. H. (2024). Holistic approach to safety and operational stability: Analyzing VVER-1200 reactor dynamics in SGTR and AC power loss. Journal of Power and Energy Engineering12(09), 102–130. https://doi.org/10.4236/jpee.2024.129007
  3. Rahman, S. M. T., Saha, S., Worku, S. B., Ali, R. H., & Hashan, A. M. (2024). A resource-based assessment of renewable energy potential in Bangladesh: Challenges and opportunities. OAlib11(11), 1–29. https://doi.org/10.4236/oalib.1112479
  4. Shaon, M. T. R., Rahman, M., Hossain, A., & Zakir, M. G. (2023). Investigation of Reactor Behavior during Turbine Trip Scenarios and Risk Assessment Using PCTRAN in VVER-1200 Reactor. In 7th International Conference on Mechanical Engineering and Renewable Energy (ICMERE-2023).
  5. Shaon, M. T. R., Sharon, M., Hossain, A., & Zakir, M. G. (2025). AN IN-DEPTH ASSESSMENT OF REACTOR DYNAMICS UNDER TURBINE TRIP CONDITION IN THE VVER-1200 REACTOR UTILIZING PCTRAN AND FUZZY EXPERT SYSTEM. Mechanical Engineering Research13, 13–31.
  6. Shaon, Md T. R., Antor, M. H., & Sharon, M. M. R. (2024). Non-isothermal thermogravimetric analysis of carbonation reaction for enhanced CO2 capture. Measurement Standards. Reference Materials20(3), 65–80. https://doi.org/10.20915/2077-1177-2024-20-3-65-80
  7. Shaon Md, T. R., & Bogatova, T. F. (2022). Carbon Footprint In Industry and Opportunities to Reduce It. Теплотехника и информатика в образовании, науке и производстве (ТИМ’2022).-Екатеринбург2022, 7–12.
  8. Shaon, T. R., Ahmed, S. S., Obaidi, R. M., Hossain, A., & Zakir, M. G. (2020). Analysis of Thermal Hydraulics Behavior of Coolant through a Sub Channel in Fuel Assembly of a Pressurized Water Reactor (PWR). In International Conference on Mechanical.
  9. Shaon, T. R., Sakib, S., Murad, M. H., Hossian, A., & Zakir, G. (2022). Analysis of LOCA in Cold Leg and Risk Evaluation of Pressurized Water Reactor based NPP. Small12, 15–15.
  10. Hashan, A. M., Rahman, S. M. T., Islam, R. M. R. U., Avinash, K., Shekhor, S., & Iftakhairul, S. M. (2023). Smart horticulture based on image processing: Guava fruit disease identification. 2023 IEEE 21st Student Conference on Research and Development (SCOReD).
  11. Hashan, A. M., Saha, S., Al-Saeedi, A. A. K., Md Tariqur Rahman, S., Mily, A., & Karim, M. N. (2025). Machine learning and hyperparameter optimization for liver disease prediction in organizational systems. 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 69–72.
  12. Mahamudul Hashan, A., Tariqur Rahman, S. M., Avinash, K., Ul Islam, R. M. R., & Dey, S. (2024). Guava fruit disease identification based on improved convolutional neural network. International Journal of Electrical and Computer Engineering (IJECE)14(2), 1544. https://doi.org/10.11591/ijece.v14i2.pp1544-1551

 

TECHNICAL SKILLS

Software & Programming

  • Microsoft Office Suite (Word, PowerPoint, Excel)
  • Adobe Illustrator
  • PCTRAN (Nuclear Reactor Simulation)
  • Power BI (Data Visualization)
  • Python (Data Science & Machine Learning)
  • Fuzzy Expert System

Digital & Communication

  • Social Media Management
  • Technical Documentation
  • Research Writing
  • Data Analysis & Visualization
  • Project Management

LANGUAGE PROFICIENCY

Bengali (Bangla): Native Speaker

English: Proficient (C1 Level)

• Listening: C1 | Reading: C1 | Speaking: C1 | Writing: C1

Russian: Intermediate (A2 Level Certified)

• Listening: A2 | Reading: A2 | Speaking: A2 | Writing: A2

AWARDS & RECOGNITION

Academic Excellence

  • Diploma of the Winner - Open Doors Russian Scholarship Project, Moscow (2025)
  • 1st Position - Essay Writing Competition, Embassy of Bangladesh, Moscow (2023)
  • Best Paper Award - ТИМ'2022 Conference, Yekaterinburg, Russia (2022)
  • Dean's List - Military Institute of Science and Technology, Bangladesh (2019)

Scholarships

  • Russian Government Scholarship - PhD Program (2023)
  • Russian Government Scholarship - Master's Degree (2021)

PROFESSIONAL AFFILIATIONS & VOLUNTEER EXPERIENCE

Field Volunteer | 2017-2020 | MIST Robotics Club, Military Institute of Science and Technology, Bangladesh

  • Participated in robotics competitions and technical workshops
  • Organized technical seminars and knowledge-sharing sessions

 

REFERENCES

Dr. Abdus Satter Mollah

Professor

Department of Nuclear Science and Engineering Military Institute of Science and Technology Dhaka, Bangladesh

Email: – mollahas@gmail.com

Phone: +88-017995139014

 

Lt. Col. Md Altab Hossain, PhD

Associate Professor

Department of Nuclear Science and Engineering Military Institute of Science and Technology Dhaka, Bangladesh

Email: – altab@nse.mist.ac.bd

Phone: +88-01769024180

 

This CV represents my commitment to advancing engineering knowledge through rigorous research, international collaboration, and continuous professional development. I am eager to contribute my expertise in thermal power systems, nuclear safety, energy system, modelling, analysis and data analytics to innovative projects in a dynamic professional environment.