Get To Know More

About Me

Education

B.Sc. in Computer Science and Engineering
United International University

Research & Development

Machine Learning & Deep Learning Projects
2 Peer-Reviewed Publications

I’m Iftekhar Mahmud, a passionate Computer Science graduate from United International University, Bangladesh. My academic journey has been enriched with hands-on projects in machine learning, data science, and web development. I’ve published research in IEEE conferences, including award-winning work in multimodal emotion recognition and sustainable crop price forecasting. I enjoy building practical solutions through data-driven models, and I’m particularly focused on Machine Learning, Deep Learning, and Multi Modal Machine Learning.

What I Work With

Technical Skillset

Programming & Web

Python — Advanced
C/C++ — Strong Foundation
HTML / CSS / JavaScript — Intermediate
Laravel (PHP) — Intermediate
Django — Intermediate
Streamlit — Advanced (Rapid Prototyping)

Data & ML

Scikit-learn — Classical ML & Preprocessing
TensorFlow — Deep Learning & Neural Nets
Pandas / NumPy — Data Manipulation
Matplotlib — Visualization

Tools & Environment

Git / GitHub — Version Control
VS Code / Jupyter — IDE & Notebooks
SQL / PostgreSQL / DataGrip — Databases
LaTeX — Documentation & Technical Writing
Linux / Windows — Comfortable in Both

My Academic

Research Experience

Undergraduate Thesis

Institution: United International University, Dhaka

Duration: January 2024 - October 2024

Title: Predicting Crop Prices using Machine Learning Algorithms for Sustainable Agriculture

Explored regression and time series models for crop price forecasting.
Handled imbalanced datasets, trained ML models, and visualized outputs using Python libraries.

Publication:

I. Mahmud, P. R. Das, M. H. Rahman, A. R. Hasan, K. I. Shahin, and D. M. Farid,
"Predicting Crop Prices using Machine Learning Algorithms for Sustainable Agriculture,"
2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1–6.
DOI: 10.1109/TENSYMP61132.2024.10752263

Journal Submission: Extended version is under preparation for a peer-reviewed journal.

Multimodal Emotion Recognition

Institution: United International University, Dhaka

Duration: January 2024 - December 2024

Worked on emotion detection using visual and thermal images via deep learning.
Applied image processing, model fine-tuning, and evaluation techniques for optimal performance.

Publication:

I. Mahmud, P. Das, N. Rifa, I. Hossain, R. Rahman, and D. M. Farid,
"Multimodal Emotion Recognition Using Visual and Thermal Image Fusion: A Deep Learning Approach,"
27th International Conference on Computer and Information Technology (ICCIT), 2024.
https://doi.org/10.1109/ICCIT64611.2024.11022356

Award: Best Technical Presentation Award, IEEE ICCIT 2024

Read My

Articles

Latest on Medium

Rockefeller’s Enigma & Islam’s Clear Stance on Cannibalism

A deep dive into an eerie historical anecdote and how Islam ethically confronts such extremes.

From Command to Control: How Agentic AI is Taking the Wheel

Explores the philosophical and practical implications of agentic AI systems gaining autonomy.

Iftekhar Mahmud

About Me

Education

Research & Development

Technical Skillset

Programming & Web

Data & ML

Tools & Environment

Projects

Crop Price Prediction

E-Clinic System

2D Platformer Game

3D Animation with OpenGL

E-Wholesale System