CV

Education

Hajee Mohammad Danesh Science & Technology University (HSTU), Dinajpur, Bangladesh
BSc, Electronics and Communication Engineering
Session: 2019 – 2022
Result (Publication Date: 2nd Oct, 2024): 3.412 / 4.00

Skills

• Programming Languages: C, C++, Java, Python
• Query Languages: SQL, NoSQL (MongoDB)
• Cloud Platforms: AWS Cloud, Google Cloud
• Web Frameworks: Django, Flask, Plotly-Dash, Streamlit
• Deep Learning Frameworks: TensorFlow, PyTorch, NLTK
• Scientific Computing: NumPy, Scikit-learn, Pandas

Work Experience

Research Assistant
PETARHUB, Hajee Mohammad Danesh Science and Technology University · Part-time
Jun 2022 – Dec 2024
Leads: Dr. Md. Dulal Haque, MD SHAHZAMAL

• Researched garment industry productivity and business requirements estimation, bike sharing demand prediction (Used London’s Bike Sharing Dataset), and electrical fault detection and minimization using machine learning, deep learning, and optimization algorithms.

Research Assistant
DIOT Lab, Hajee Mohammad Danesh Science and Technology University · Part-time
Mar 2024 – Dec 2024
Lead: Dr. Tangina Sultana

• Developed REVNet model for sugarcane leaf disease detection, ApexBoost Regression model to forecast bike-sharing demand using spatio-temporal features, and DFFRN, a deep learning model to predict flight delays by capturing spatio-temporal dependencies.

📚 Publications

• Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression
  Publisher: Springer Nature
  Journal: International Journal of Data Science and Analytics

• Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network
  Publisher: MDPI
  Journal: International Journal of Data Science and Analytics

• An Adaptive Machine Learning Approach for Electrical Fault Detection and Minimization
  Publisher: IEEE

• A Bioinformatics Approach to Identify Hub Genes Across Schizophrenia, Anxiety, Bipolar Disorder, and Depressive Disorder for Network-Based Drug Discovery
  Publisher: IEEE

• A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension
  Publisher: IEEE

• Machine Learning Approach to Estimate Requirements for Target Productivity of Garments Employees
  Publisher: IEEE

• Customized EfficientNet: A Transfer Learning Approach for Rice Leaf Disease Classification with Advanced Resizing and Augmentation
  Publisher: IEEE

On-Going Researches

• Revnet: An Optimized Deep Ensemble Model for Accurate Sugarcane Leaf Disease Classification
• Cow-Muzzle Classification Using Vision Transformer Based Model
• Modified YOLOv11 with Retrieval-Augmented Language Model for Lung Disease Detection and Treatment Recommendation

Projects

Flight Delay Prediction App
GitHub Link | Scikit-learn, Plotly Dash
May 2024 – Aug 2024

• Analyzed 3 million US airline data samples (2019–2023) and achieved a 99.93 R-Square score using feature engineering and a deep learning model.

Crop Recommendation System
GitHub Link | Streamlit
Nov 2024 – Dec 2024

• Developed a recommendation system to suggest the best-suited crops based on soil’s pH, nitrogen, phosphorus, potassium levels, and the location’s rainfall and temperature.

Awards

• First Runner-Up in Project Exhibition, 2022
  Title: Face Detection-Based Automatic Attendance System
• Second Runner-Up in Project Exhibition, 2023
  Title: AI-Based Health Checking System

References

• Dr. Md. Dulal Haque
  Professor, Department of Electronics and Communication Engineering, HSTU, Bangladesh
  Phone: +8801712534968 | Email: dhaque@hstu.ac.bd

• MD SHAHZAMAL, PhD
  Macquarie University, Australia
  Email: mdszamal@gmail.com

• Dr. Tangina Sultana
  Post Doctoral Researcher, Kyung Hee University, South Korea
  Associate Professor, Department of Electronics and Communication Engineering, HSTU, Bangladesh
  Phone: +8801309964335 | Email: tangina@hstu.ac.bd