News & Updates
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I'm looking for active collaborator on two of my current going research projects.
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My undergrad thesis on under-resourced TTS got an Acceptance Review from ICASSP 2025.
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I am currently not accepting new research group projects until January 2025 unless accompanied by a
professor's recommendation.
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Recently had the privilege of reviewing a paper for ICLR 2025,
gaining valuable insights into international research standards.
Professional Experience
Current Role
Artificial Intelligence Engineer
- Synesis IT PLC, Dhaka, Bangladesh,
Sep 2024 - Present
Specializing in creating sophisticated chatbots tailored to
a wide array of applications, showcasing expertise in designing
conversational AI systems that seamlessly integrate with business needs.
Work History
Natural Language Processing Engineer
- Synesis IT PLC, Dhaka, Bangladesh,
Mar 2024 - Aug 2024
Contributed to the enhancement of SIT-ASR, incorporating
machine learning-driven spell suggestions to handle out-of-vocabulary
(OOV) challenges. Developed a
Bangla speaker diarization system, enabling accurate
segmentation of speakers in audio. Built a
custom LLM-based chatbot for Q&A applications and
implemented English ASR support within SIT-ASR. Generated
SIT-Live-CC for Bangla and English and refined the
SIT Convay denoiser to elevate its performance and user
experience.
Education
Shahjalal University of Science and Technology
- Bachelor of Engineering (BE) in Computer Science,
Sylhet, Bangladesh,
Feb 2019 - Dec 2024
Achieved a CGPA of 3.74/4.00 while actively participating
as a member of the CSE Society, SUST. During my final 1.5 academic
years, I experienced significant academic growth, improving my CGPA by
nearly 0.3, deepening my understanding of Machine Learning, and
contributing to research with more than two publications. This period
of transformation was profoundly influenced by the guidance and
mentorship of Prof. Dr. M. Shahidur Rahman, for whom I am
immensely grateful. My journey at SUST has equipped me with advanced
skills in research, technical writing, project management, and
programming, particularly in Python, along with expertise in Machine
Learning.
Notre Dame College
- Higher Secondary Certificate (HSC) in Science,
Dhaka, Bangladesh,
Jul 2016 - Jun 2018
Finished with a perfect GPA of 5.00/5.00, earning a
General Grade Government Scholarship for academic
excellence. During my time at Notre Dame College, I was involved in
the Science and English Clubs, fostering both my analytical and
communication skills. This period remains one of the most rewarding
academic phases of my life, underscoring the importance of discipline
and time management in achieving excellence.
Shamsul Hoque Khan School & College
- Secondary School Certificate (SSC) in Science,
Dhaka, Bangladesh,
Jan 2009 - Feb 2016
Completed secondary education with a perfect GPA of
5.00/5.00. My time here laid the groundwork for my
academic success, building a strong foundation in the sciences and
fostering a lifelong commitment to learning and personal growth.
Research
Highlights
My research focuses on innovative applications of Artificial
Intelligence in low-resource environments, with an emphasis on
Large Language Models (LLMs),
Bangla speaker diarization, Bangla ASR, and
machine-learning-driven product. My goal is to enhance
speech processing,
natural language understanding, and
text-to-speech (TTS) systems to create accessible AI
solutions that drive progress in technology, education, and
conservation.
Publications
Md Shahidul Islam, Pabel Shahrear, Goutam Saha,
Md Ataullha, and M. Shahidur Rahman. "Mathematical analysis
and prediction of future outbreak of dengue on time-varying contact rate
using machine learning approach." Computers in Biology and Medicine,
vol. 178, 2024, p. 108707.
[Journal]
Md Ataullha, Mushfiqur Rahman, and M. Shahidur Rahman.
"PakhiderChobi: A Comprehensive Dataset for Real-time Detection of
Bangladeshi Birds." 2023 26th International Conference on Computer and
Information Technology (ICCIT). IEEE, 2023.
[Conference]
Md Ataullha, Soumik Paul Jisun, Ishrat Jahan, Mushfiqur
Rahman. "BanFish: A Dataset for Classifying Common Bangladeshi Fish
Species." 2024 6th International Conference on Electrical Engineering
and Information & Communication Technology (ICEEICT). IEEE, 2024.
[Conference]
Md Ataullha, Mahedi Hassan Rabby, Mushfiqur Rahman, Tahsina
Bintay Azam "Bengali Document Layout Analysis with Detectron2." arXiv
preprint arXiv:2308.13769, 2023.
[arXiv]
Md Ataullha, Sumitra Das, and M. Shahidur Rahman. 2024 27th International Conference on
Computer and Information
Technology (ICCIT). IEEE, 2024.
Md Ataullha, Soumik Paul Jisun, and M. Shahidur Rahman.
2025 IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP). IEEE, 2025.
Featured Projects
StarGaze BD
- ML Algorithms (RF, SVM, LR), CNN, Flask, JavaScript,
Streamlit
A machine learning and deep learning-based web application designed to
identify prominent Bangladeshi personalities from photos. It utilizes
custom-built ML algorithms (Random Forest, SVM, Logistic Regression) and
a CNN model for high accuracy. Integrated using Flask for backend
processing, and a user-friendly interface is implemented with JavaScript
and Streamlit.
[GitHub Link]
Freshman Utilities
- Java, Firebase, Google Directions API, Jsoup
An Android application crafted to simplify campus life
for university freshmen by offering features such as
navigation through the Google Directions API, Firebase-based data
storage for sharing resources, and web scraping with Jsoup to collect
essential campus-related information.
[GitHub Link]
CourseTrackr
- Java, Servlet, JSP, MySQL
A comprehensive web-based course management system tailored for
educational institutions. It features role-specific functionalities for
admins, teachers, and students. Built using Java Servlets and JSP for
dynamic web pages and MySQL for robust backend database management.
[GitHub
Link]
QuesTek Pro
- Java, JavaFX, Text files
A JavaFX-based desktop application for
conducting and managing multiple-choice quizzes. It
supports admin verification, quiz result exportation, and local data
storage with text files. Ideal for in-person examination setups.
[GitHub Link]
Recent Talks & Interviews
Presentation at ICCIT'23
- 26th ICCIT,
Cox's Bazar,
December 2023
Delivered a presentation on the PakhiderChobi dataset,
which consists of 8,670 annotated images of 33 Bangladeshi bird
species. The talk highlighted the importance of accurate bird
detection and classification for urban conservation efforts. Utilizing
the YOLOv8 object detection model, the research achieved a mean
average precision (mAP) of 95.3% with an inference time of just 6.6
milliseconds per image. This tool aims to support real-time
recognition, even in challenging scenarios, and contributes to bird
conservation efforts amidst urbanization and habitat loss. Watch the
talk on
[YouTube].