Department of Information and Communication Engineering
Mr. Md. Istakiak Adnan Palash  Lecturer
Name :
Mr. Md. Istakiak Adnan Palash
Employee ID
710003433
Designation
Lecturer  
Department
Department of Information and Communication Engineering
Faculty
Faculty of Engineering
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/ice/istakiak.html
E-mail
adnanpalash.ice@diu.edu.bd
Phone
Cell-Phone
01917994487

M.Sc. in Information and Communication Engineering (ICE) (Pursuing)
Bangladesh University of Professionals (BUP)


B.Sc. in Information and Communication Engineering (ICE)
Bangladesh University of Professionals (BUP)
CGPA: 3.97 out of 4.00

  • Training on “Embracing a Learner-Centric Classroom Approach”  organized by the HRDI, Daffodil International University.
  • Training on “Edpuzzle and Online Course Creation” organized by the HRDI, Daffodil International University.
  • Training on “What Makes You a Good Teacher” organized by Daffodil International University.
  • Training on “Introduction Training for Teachers on Outcome Based Education (OBE), Bloom’s Taxonomy, Online Based Education (Blended Learning Center), Mentoring & Counseling to Students” organized by Daffodil International University.

Computer Fundamentals, Object-Oriented Programming, Digital Communication, Basic Electrical and Electronic Engineering, Engineering Mathematics

Journal Articles

  1. Tapotosh Ghosh; Md Istakiak Adnan Palash; Mohammad Abu Yousuf; Md. Abdul Hamid; Muhammad Mostafa Monowar; Madini O. Alassaf, “A Robust Distributed Deep Learning Approach to Detect Alzheimer’s Disease from MRI Images”, Mathematics, MDPI (Q1), Volume 11, Issue 12, June 2023. DOI: https://doi.org/10.3390/math11122633
  2. Md Istakiak Adnan Palash; Arijit Diganto; Osama Nazmul Fatan; Kazi Abu Taher; and Md Jaber Al Nahian, “Detection of Fake Job Postings on Online using Convolutional Neural Network,” Journal of FST, Bangladesh University of Professionals, Volume 01, Issue 01, Jul. 2022, pp. 207-217.

 

 

Conference Papers

  1. Md Istakiak Adnan Palash and Mohammad Abu Yousuf, “A Federated Learning-based Model for the Detection of Lung Cancer from CT Scan Images,” in 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 741–745, IEEE, 2024.
  2. Md Istakiak Adnan Palash, Sana Ulla, A. K. M. Mohaiminul Islam, Sabbir Ahamed Mridha, Md Jaber Al Nahian, and M. Shamim Kaiser, “VC-IDS: An Ensemble Learning Method based on Voting Classifier for Intrusion Detection System using Machine Learning Algorithms,” in 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), pp. 26–30,IEEE, 2023.
  3. Muntarin Rahman, Md Istakiak Adnan Palash, Marufa Sultana Sumi, Muntasir Rahman, Md JaberAl Nahian, “Using Ensemble Approaches and Different Sampling Techniques to Handle Class Imbalance Challenges in Coronary Heart Disease Prediction,” in 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), pp. 31–35, IEEE, 2023.
  4. Sana Ulla, Elmeeh Hasan Shipra, Mohammad Ahnaf Tahmeed, Pallab Saha, Md Istakiak Adnan Palash, and Md. Hossam-E-Haider, “Satnet: A lightweight satellite image classification model using deep convolutional neural network,” in 2023 IEEE International Conference on Telecommunications and Photonics (ICTP), pp. 01–05, IEEE, 2023.
  5. Md. Appel Mahmud Pranto; Nafiz Al Asad; Md Istakiak Adnan Palash; A. K. M. Mohaiminul Islam; and M. Shamim Kaiser;” Covid-19 Chest X-Ray Classification with Augmented GAN”, in Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, Springer, 2022, pp. 125–139.

Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Image Processing, Natural Language Processing

  • Chancellor Scholarship
  • Dean’s Letter of Appreciation
  • General Scholarship in Secondary School Certificate Exam

Teaching Assistant
Department of Information and Communication Technology, Bangladesh University of Professional (BUP)
Duration: July 2023 – December 2023