Type 2 Diabetics Treatment and Medication Detection with Machine Learning Classifier Algorithm. - Md. Kowsher; Farhana Sharmin Tithi; Tapasy Rabeya; Fahmida Afrin; Mohammad Nurul Huda (IJCCI, 2018)

Impact-Learning: A Robust Machine Learning Algorithm. - Md. Kowsher; Anik Tahabilder; Saydul Akbar Murad (ICCCM, 2020)

SDSV: Angle Measurement for Supervised Classification. - Md. Kowsher; Imran Hossen; Anik Tahabilder; Nusrat Jahan Prottasha; Md. Murad Hossain Sarker; Nazmul Ahasan; Md Imdadul Hoque (ACLING, 2021)

SeqVectorizer: Sequence Representation in Vector Space. - Md. Kowsher; Avishek Das; Md. Murad Hossain Sarker; Anik Tahabilder; Md. Zahidul Islam Sanjid (NISS (ACM), 2021)

BSDRM: A Machine Learning Based Bug Triaging Model to Recommend Developer Team. - K. M. Aslam Uddin; Md. Kowsher; Kazi Sakib (MIET (2), 2022)

CARAN: A Context-Aware Recency-Based Attention Network for Point-of-Interest Recommendation. - Md. Billal Hossain; Mohammad Shamsul Arefin; Iqbal H. Sarker; Md. Kowsher; Pranab Kumar Dhar; Takeshi Koshiba (IEEE Access, 2022)

Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding. - Md. Kowsher; Abdullah As Sami; Nusrat Jahan Prottasha; Mohammad Shamsul Arefin; Pranab Kumar Dhar; Takeshi Koshiba (IEEE Access, 2022)

Impact Learning: A Learning Method from Features Impact and Competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (CoRR, 2022)

AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach. - Saydul Akbar Murad; Apurba Adhikary; Abu Jafar Md Muzahid; Md. Murad Hossain Sarker; Md. Ashikur Rahman Khan; Md. Bipul Hossain; Anupam Kumar Bairagi; Mehedi Masud; Md. Kowsher (Intell. Autom. Soft Comput., 2022)

A review on job scheduling technique in cloud computing and priority rule based intelligent framework. - Saydul Akbar Murad; Abu Jafar Md Muzahid; Zafril Rizal M. Azmi; Md Imdadul Hoque; Md. Kowsher (J. King Saud Univ. Comput. Inf. Sci., 2022)

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. - Nusrat Jahan Prottasha; Abdullah As Sami; Md. Kowsher; Saydul Akbar Murad; Anupam Kumar Bairagi; Mehedi Masud; Mohammed Baz (Sensors, 2022)

A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. - Supriya Sarker; Mohammad Shamsul Arefin; Md. Kowsher; Touhid Bhuiyan; Pranab Kumar Dhar; Oh-Jin Kwon (IEEE Access, 2023)

Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers. - Md. Kowsher; Mahbuba Yesmin Turaba; Tanvir Sajed; M. M. Mahabubur Rahman (CoRR, 2023)

Impact learning: A learning method from feature's impact and competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (J. Comput. Sci., 2023)

L-Tuning: Synchronized Label Tuning for Prompt and Prefix in LLMS. - Md. Kowsher; Md. Shohanur Islam Sobuj; Asif Mahmud; Nusrat Jahan Prottasha; Prakash Bhat (Tiny Papers @ ICLR, 2024)

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. - Md. Kowsher; Ritesh Panditi; Nusrat Jahan Prottasha; Prakash Bhat; Anupam Kumar Bairagi; Mohammad Shamsul Arefin (NLDB (2), 2024)

Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer. - Md. Kowsher; Jia Xu (CoRR, 2024)

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning. - Nusrat Jahan Prottasha; Asif Mahmud; Md. Shohanur Islam Sobuj; Prakash Bhat; Md. Kowsher; Niloofar Yousefi 001; Özlem Özmen Garibay (CoRR, 2024)

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. - Md. Kowsher; Tara Esmaeilbeig; Chun-Nam Yu; Mojtaba Soltanalian; Niloofar Yousefi 001 (CoRR, 2024)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting. - Md. Kowsher; Md. Shohanur Islam Sobuj; Nusrat Jahan Prottasha; E. Alejandro Alanis; Özlem Özmen Garibay; Niloofar Yousefi 001 (CoRR, 2024)

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. - Md. Kowsher; Tara Esmaeilbeig; Chun-Nam Yu; Chen Chen; Mojtaba Soltanalian; Niloofar Yousefi 001 (ACL (1), 2025)

Predicting Through Generation: Why Generation Is Better for Prediction. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat; Chun-Nam Yu; Mojtaba Soltanalian; Ivan Garibay; Ozlem O. Garibay; Chen Chen; Niloofar Yousefi 001 (ACL (1), 2025)

TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking. - Shahriar Kabir Nahin; Rabindra Nath Nandi; Sagor Sarker; Quazi Sarwar Muhtaseem; Md. Kowsher; Apu Chandraw Shill; Md Ibrahim; Mehadi Hasan Menon; Tareq Al Muntasir; Firoj Alam (ACL (Findings), 2025)

Propulsion: Steering LLM with Tiny Fine-Tuning. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat (COLING, 2025)

BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. - Mohammad Jahid Ibna Basher; Md. Kowsher; Md Saiful Islam; Rabindra Nath Nandi; Nusrat Jahan Prottasha; Mehadi Hasan Menon; Tareq Al Muntasir; Shammur Absar Chowdhury; Firoj Alam; Niloofar Yousefi 001; Ozlem O. Garibay (NAACL (Findings), 2025)

Does Self-Attention Need Separate Weights in Transformers? - Md. Kowsher; Nusrat Jahan Prottasha; Chun-Nam Yu; Ozlem O. Garibay; Niloofar Yousefi 001 (NAACL (Industry Track), 2025)

User Profile with Large Language Models: Construction, Updating, and Benchmarking. - Nusrat Jahan Prottasha; Md. Kowsher; Hafijur Raman; Israt Jahan Anny; Prakash Bhat; Ivan Garibay; Ozlem O. Garibay (CoRR, 2025)

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models. - Nusrat Jahan Prottasha; Upama Roy Chowdhury; Shetu Mohanto; Tasfia Nuzhat; Abdullah As Sami; Md Shamol Ali; Md. Shohanur Islam Sobuj; Hafijur Raman; Md. Kowsher; Ozlem O. Garibay (CoRR, 2025)

How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. - Md. Kowsher; Nusrat Jahan Prottasha; Shiyun Xu; Shetu Mohanto; Chen Chen; Ozlem O. Garibay; Niloofar Yousefi 001 (CoRR, 2025)

Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation. - Sina Abdidizaji; Md. Kowsher; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2025)