AJK

Ahmed Akib Jawad Karim

Adjunct Lecturer

ext.akib.jawad@bracu.ac.bd

Websites

https://sites.google.com/view/akibjawad

Address

CSE Department
4th floor, Room No # 4P,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh

My deep passion for mathematics and programming strongly aligns with my interest in Artificial Intelligence, particularly in its application to software development. My current research efforts are centered around the nuanced areas of Natural Language Processing, Machine Learning, Deep Learning, Computer Vision, Data Science, and Software Engineering. I am dedicated to forging a unique path in these fields through innovative exploration and thorough analysis. 

As a lecturer, currently I am taking,

CSE-111 (Programming Language-2)

CSE-221 (Algorithms)

CSE- 370 (Database systems)

CSE-471 (System Analysis and Design)

CSE-220 (Data Structures)

CSE-470 (Software Engineering)

CSE-110 (Java Programming Language -1)

  1. Ahmed Akib Jawad Karim, Muhammad Zawad Mahmud, and Riasat Khan. "Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies." PLOS Computational Biology
  2. Ahmed Akib Jawad Karim, Kazi Asad . "Larger models yield better results? Streamlined Severity Classification of ADHD-Related Concerns Using BERT-Based Knowledge Distillation." PLOS ONE
  3. Ahmed Akib Jawad Karim, Kazi Asad. "Strengthening Fake News Detection: Leveraging SVM and Sophisticated Text Vectorization Techniques. Defying BERT?" (ICCITconf2024)
  4. Ahmed Akib Jawad Karim, M. Z. Mahmud, Samiha Islam. "Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs." (ICCITconf2024) 
  5. Ahmed Akib Jawad Karim, S. Hoque, Dr. Md. Golam Rabiul, Md. Zia Uddin. "Automated Personnel Selection for Software Engineers Using LLM-Based Profile Evaluation." (ICCITconf2024)
  • Summa Cum Laude in B.Sc Computer Science and Engineering
  • Received Merit Scholarship during Undergrad for outstanding results.

Thesis

Not Accepting


As:

Co-supervisor

Level:

Undergraduate

Type:

  • Thesis

Research Interest

Deep Learning, NLP, Machine Learning, Federated Learning, Ensemble Learning


©2024 BracU CSE Department