Undergraduate Student, BUET
Research Interest: Molecular Dynamics, Machine Learning, Nanocomposites, Additive Manufacturing, Computational Mechanics, Multiscale and Multiphysics analysis.
Hello! I’m Jubaer Tanjil Jami, a passionate Mechanical Engineering student at the Bangladesh University of Engineering and Technology (BUET) with a strong interest in advanced research and software engineering. My academic journey has been complemented by extensive research experience, particularly in areas such as molecular dynamics, nanocomposites, and additive manufacturing. Currently, I am working on cutting-edge projects including atomistic simulations of carbon nanotube composites and data-driven discovery of dimensionless numbers and governing laws from scarce measurements to predict fatigue life. This work involves developing and training models based on the Buckingham Pi theorem to derive physically meaningful relationships from data, with high accuracy predictions for fatigue life in alloys.
In addition to my research background, I have a solid foundation in software development and currently serve as a Senior Frontend Engineer at Codervai.com, where I help build a world-class e-learning platform. With expertise in frameworks like Next.js, React, and tools like Docker and AWS, I thrive in creating dynamic, user-centric web applications. I am also proficient in developing real-time systems and predictive models through deep learning, applying my skills to robotics and control systems.
Beyond academics and professional work, I’ve been involved in exciting hardware projects, such as building “LEO – The Dog,” a quadruped robot with cognitive abilities, and designing efficient heat exchangers. My work has been recognized through various accolades, including a NASA Space Apps Challenge win.
I am always eager to collaborate on innovative projects and research that push the boundaries of technology and engineering.
Skills
My skills are derived from years of experience through industry and academic research.
- Programming Languages: MATLAB, Python, JavaScript, C/C++, LaTeX
- Robotics and Control Systems: ROS (Robot Operating System), Arduino
- Machine Learning and Computer Vision: TensorFlow, PyTorch, Keras, OpenCV
- Frameworks: Express.js, React.js, Next.js, Sass, Tailwind, React Native
- Technologies: Git, Docker, Nginx, Unix
- Database: MongoDB, PostgreSQL, Firebase
- Cloud Platform: AWS (EC2, ECS, Amplify)
- Computer Aided Design: SolidWorks, AutoCAD
-
Simulation Software & Tools:
- Molecular Dynamics: LAMMPS, Ovito
- Computational Fluid Dynamics: Ansys
- Other Platforms: Netlify, Heroku, Render
Resume
A detailed CV is available here. A brief summary is provided below.
Summary
Jubaer Jami
Aiming to develop innovative models by combining multi-physics simulations, data-driven discovery, and deep learning to solve complex engineering problems such as material behavior, fatigue life prediction, and process optimization in additive manufacturing.
Research Interests
- Molecular Dynamics
- Machine Learning
- Nanocomposites
- Additive Manufacturing
- Computational Mechanics
- Multiscale and Multiphysics analysis
Professional Experience
Senior Frontend Engineer
June 2023 - Present
- Built a world-class e-learning platform frontend using Next.js, Tailwind CSS, and TypeScript, developing comprehensive dashboards with integrated features like quizzes, videos, Zoom, and a Leetcode-like problem-solving IDE.
- Maintained website performance through responsive bug fixes and management of multiple subdomains for diverse customer bases.
Junior Software Engineer
Dec 2023 - June 2024
- Customized Flutter and Native applications to meet clients' needs for seamless app experiences.
Frontend Engineer
Feb 2023 - Dec 2023
- Managed the full project lifecycle, developing a bridge between clients and engineers while demonstrating proficiency in cross-platform app development using React Native for iOS and Android platforms.
- Developed user interfaces using React, SASS, and ContextAPI, crafting visually appealing and responsive front-end designs while collaborating with designers to ensure optimal user experience.
- Tested, debugged, and optimized user interface code for performance, functionality, SEO, and accessibility.
Research Experience
Undergraduate Thesis
November 2023 - Present
Department of Mechanical Engineering, BUET
Supervisor: Dr. Mohammad Jane Alam Khan
Title: An Atomistic Study of the Tensile Deformation of defective Carbon Nanotube reinforced Poly-oxymethylene Composites
- Investigating the mechanical behavior of CNT-reinforced PVC nanocomposites using molecular dynamics simulations, focusing on the impact of CNT morphology on composite strength and stiffness.
- Employed BIOVIA Material Studio to construct a nanocomposite unit cell and LAMMPS for simulations under tensile loading conditions. Trying to analyze atomistic interactions between CNTs and the PVC matrix.
Remote Research Collaborator
July 2024 - Present
IMMPACT Lab, Virginia Tech, VA
Advisor: Dr. Sourav Saha
Title: Data-Driven Discovery of Dimensionless Numbers and Governing Laws from Scarce Measurements for Predicting Fatigue Life
- Developed and trained a model for dimensionless number discovery using the Buckingham Pi theorem to derive physically meaningful relationships from data.
- Applied gradient-based two-level optimization techniques to predict fatigue life in alloys with high accuracy.
Remote Research Collaborator
November 2023 - Present
SMALT Laboratory, University of Dayton, Ohio
Advisor: Dr. Abdullah Al Amin
Title: Predicting the influence of process parameters in keyhole porosity during laser powder bed fusion of metals using convolutional neural network using ANSYS Fluent & Deep learning.
- Developed a YOLO v8-based keyhole detection system for laser powder bed fusion additive manufacturing, with a confidence score of 40-60%.
- Currently leading efforts to construct a computational fluid dynamics model for predicting pore formation in laser powder bed fusion additive manufacturing, enabling real-time prediction 5 microseconds ahead of actual pore formation.
Standardized Test Score
TOEFL: 101/120
Reading: 23, Listening: 28, Speaking: 23, Writing: 27
Research Grant
April 2024 | RISE Undergraduate Research Grant | Research and Innovation Center for Science and Engineering (RISE), BUET | Certificate
Dr. Mohammad Jane Alam Khan Research Group
Project: An Atomistic Study of the Tensile Deformation of defective Carbon Nanotube reinforced Poly-oxymethylene Composites
Research Publications
A selection of my research publications and conference presentations.
Journal Manuscripts Under Preparation
Molecular dynamics study of evaporation of low-GWP refrigerants over sinusoidal nanostructured surface
T. Mehereen, A.A. Nitu, J. T. Jami, M. A. Rahman
Ongoing
Innovative Approaches for Digitization and Accurate Rapid Test Interpretation: AI Solution through Smartphone
R. B. Dastagir, J. T. Jami, Shorup Chanda, M. Rahman, K. Dey, F. Hafiz, M. M. Rahman, M. Qureshi, and M. M. Chowdhury
Ongoing
Predicting the influence of process parameters in keyhole porosity during laser powder bed fusion of metals using convolutional neural network using ANSYS Fluent & Deep learning.
S. Chanda, J. T. Jami, T. Mehereen and A. A. Amin
Ongoing
Conferences
Design and Development of Leo: An Affordable Biomechanically Inspired Quadruped Robot with Cognitive Abilities.
J. T. Jami, T. Mehereen, M.T. Rahman, M. Alam
Presented and Accepted
- Presented at the IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2024- Conference proceedings to be published in IEEE Xplore Digital Library
- Accepted for presentation at the International Mechanical Engineering Congress Exposition (IMECE) 2024 Undergrad Expo organized by the American Society of Mechanical Engineers (ASME)
Molecular Dynamics Study of Liquid Condensation on Nano-structured Sinusoidal Hybrid Wetting Surfaces.
T. Mehereen, S. Chanda, A. A. Nitu, J. T. Jami, R. R. Rahim, M.A. Rahman
Abstract Accepted
- Abstract accepted at the 8th BSME International Conference on Thermal Engineering (ICTE) 2024- Conference proceedings to be published by AIP (American Institute of Physics)
Design and Analysis of a Regenerative Shock Absorber with Added Mechanical Advantage for Increased Efficiency
S. U. Rauf, T. Mehereen, A. Zaman, J. T. Jami , M.N. Shahriare
Abstract Accepted
- Abstract accepted at the 8th BSME International Conference on Thermal Engineering (ICTE) 2024- Conference proceedings to be published by AIP (American Institute of Physics)
Contact
Please reach out to me for exciting collaboration!.