Adjunct Faculty
Adjunct Faculty at University of Liberal Arts Bangladesh, Bangladesh
CV
Education
- B.Sc. Engineering in Computer Science and Engineering, 2024
- CGPA 3.77/4.00 (Degree with Honours)
- Secured a position on the Dean’s List for two consecutive levels
- Notable Courses- Data Structures and Algorithms, Machine Learning, Introduction to Bioinformatics, Statistics and Probability, Linear Algebra, Simulation and Modeling, Computer Architecture, Operating System, Computer Networks, Computer Graphics, Compiler Design
- Higher Secondary School Certificate Examination, 2018
- GPA 5.00/5.00
- Obtained Merit Scholarship based on the result
Work Experience
Summer 2024: Research Intern
Research Intern at National University of Singapore, Singapore
Summer 2023: Machine Learning Intern
Machine Learning Intern at e-SRD Lab, BUET and NWPGCL, Bangladesh
Technical Skills
- Language: C, C++, Java, Python, R, JavaScript, Assembly, SQL
- Database: Oracle, PostgreSQL
- Version Controller: Git
- Framework: React, NodeJS, PyTorch, TensorFlow
- Machine Learning
- Deep Learning
Research
Protein Solubility Prediction
Supervisor: Dr. Yang Zhang
- Developed a deep learning-based pipeline to predict the solubility of protein sequences, utilizing a range of protein-related features.
- Incorporated advanced protein language models (LLMs) for feature extraction and sequence processing.
Comprehensive Feature Selection and Biological Relevance Analysis in Multi-Disease Gene Expression Data
Supervisor: Dr. Mohammad Saifur Rahman
- In this work, I have undertaken a comprehensive gene expression analysis of microarray cancer datasets, employing advanced techniques such as feature engineering and machine learning ensembles.
- By integrating SHAP (SHapley Additive exPlanations) and conducting enrichment analysis, I have provided a robust framework for interpreting the results, contributing valuable insights into the complex landscape of cancer genetics
Is It Really Dead? Digging into Dead Brains through Analyzing Its Behavior in Response to Inducing External Impulses
Supervisor: A. B. M. Alim Al Islam
- Even though live brains are widely studied in the literature, dead brains remain little explored as perhaps it is generally believed to have a dead brain not workable anymore.
- In contrary to such general perception, in this work, we explore the possibility of making a dead brain work again.
- Explored outputs from a dead brain in response to applying external stimuli (in the form of electrical signals) to it.
Achievements
SUST DLEnigma1.0
Became 8th out of 98 teams at kaggle, Dhaka, Bangladesh
ML Olympiad - CO2 Emissions Prediction Challenge
Secured a score higher than 30% of the contestants at kaggle, Dhaka, Bangladesh
BioMed Datathon
Became Runner-Up at kaggle, Dhaka, Bangladesh
HerWill-NSDC DataForge
Became Champion at , Dhaka, Bangladesh
Best Student Poster in 8th NSysS
Won the best student poster title at , Dhaka, Bangladesh
National Girls’ Programming Contest
Became 10th in the National rounds at , Dhaka, Bangladesh
Service and leadership
- Working as a Reviewer in Heliyon from the beginning of 2024. Reviewed 2 papers till now that can be found in my ORCID profile.
- Acted as an Organizer of BUET CSE Fest 2023 and coordinated several inter-university competitions such as hackathon, programming contest, and deep learning competition on behalf of the graduating class.
- Worked as a Student Tutor for students ranging from middle school, high school, and undergrad-level students during my undergrad years.
- Served as a Class Representative with a majority vote in 3/8 semesters.