Lecturer

Muhaddid Alavi

I am passionate about research and teaching, staying updated through conferences, journals, and forums. I use technology, like online resources and simulations, to engage students and enhance learning. My goals include advancing research, improving teaching, and contributing to academia through publications and presentations.

Contact

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Bio

I attained a B. Sc. and MSc  in Computer Science and Engineering (CSE) from Jagannath University, Bangladesh. I worked as a research fellow at JnU-EDS lab from 2020 to 2023. Right now, I am working as a lecturer of Computer Science and Engineering Department, in Habibullah Bahar College under National University, Bangladesh. Furthermore, I prefer to stay engaged in research work rather than racing to increase grade (e.g., GPA/CGPA); I firmly believe that students should concentrate on problem-solving (e.g., social issues, healthcare therapeutics) by utilizing what they learned. In addition, I always try to make well-documented open-source research repositories so that other researchers may benefit. Beyond that, I also enjoy long-distance running, cycling, and love to read nonfiction books.

Publications

Journal Publications

Detecting COVID‑19 Infection Status from Chest X‑Ray and CT scan via Single Transfer Learning‑Driven Approach

September, 2022. Accepted in Frontiers in Genetics Computational Genomics, Impact Factor: 4.274, Webserver (* for the co‑second author)

Conference Publications

Profitable Ranking of Stock Market Organizations Using Different Machine Learning Models

December, 2021. Accepted in R10‑HTC Webserver (*for the co‑first author)

View On ResearchGate

Education

March 2020 - 2022
MSc in Computer Science and Engineering

Jagannath University, Dhaka, Bangladesh

Major Courses: Machine Learning

Project: Stock market data prediction using different machine learning models

Supervised by: Dr. Selina Sharmin

February 2014 - May 2018
B. Sc. in Computer Science & Engineering (CSE)

Jagannath University, Bangladesh

Major Courses: Data mining, Machine Learning & AI, Pattern Recognition, Bioinformatics, Simulation & Modeling, Statistics & Probability

Project: Hand Gesture Recognition and Voice Conversion System Using American Sign Language using Machine Learning tools

Supervised by Mehnaz Tabassum

Research

Research Areas & Interests
  • Machine Learning: Supervised and Unsupervised Learning, Clustering, Regression, Optimization
  • Deep Learning: Neural Networks, Sequence Models, Time Series and Prediction, Transfer Learning Methods
  • Computer Vision: Image Processing, Color‑Shape‑Size Detection and Sorting, Automatic Inspection, Medical Imaging
Application Areas
  • Machine Learning Models: ARIMA, Prophet, RNN, LSTM, GRU, and so on
  • Transfer Learning: DenseNet169, VGG16, VGG19, Xception, and Inception-V2-Resnet and so on

Key Technical Skills

Programming Languages

Well‑versed in Python, among others (C/C++, Java, R, Shell–Script)

Machine Learning Research Tools

TensorFlow/Keras, PyTorch, scikit‑learn, NumPy, pandas, matplotlib, Seaborn

Writing Tools

Expert in LaTeX

Operating Systems

Linux–based OS (Ubuntu) with firm command‑line controls and Linux‑server configuration

Expertise

Teamwork, Time Management, Communication, and Presentation skills

Miscellaneous

Git/GitHub (version control), Kaggle Notebooks Documentation, Google Colab Notebooks

Experience

May 2023 ‑ Present
Habibullah Bahar College
Lecturer, Department of Computer Science and Engineering

Taken courses

  • Structure Programming Language (510201)
  • Structure Programming Language Lab (510202)
  • Discrete Mathematics (510223)
  • Object Oriented Programming Language (OOP) (520203)
  • Object Oriented Programming Language Lab (520204)
  • Database Management System
  • Database Management System Lab
  • Artificial Intelligence (540201)
  • Artificial Intelligence Lab (540202)
Nov 2020 ‑ April 2023
Research fellow at JnU-EDS lab

Jagannath University, Bangladesh

Supervised by: Dr. Md Ashraf Uddin