About Me

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Student Researcher

I am a Research Assistant at the Center for Research in Computer Vision, UCF, working with Dr. Chen Chen and Dr. Niloofar Yousefi. I love exploring multimodal research that combines text, video, image, and audio.

In summer 2025, I've joined Meta as a Multimodal LLM Intern. In summer 2026, I’ll work at Dolby Research Labs as a Multimodal Research Scientist Intern.

Earlier, I interned at Nokia Bell Labs in 2024, focusing on LLMs' Research. From 2023 to 2024, I worked as an Alexa AI Researcher and was the global 2nd place winner of the Alexa Social Bot Challenge-5, where we developed conversational agents, modeled long dialogue contexts, and generated images from chat inputs.

In 2022, I interned at Amazon Music as an Applied Scientist, working on music-related language models and monitoring systems.

Before that, I worked as an AI Scientist at Hishab Ltd. on Bangla NLP (2020–2021).

I completed my Master’s at Stevens Institute of Technology (2021–2023), focusing on NLP and deep learning.

I’m passionate about deep learning research and using AI to solve real-world problems.

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News

Publications

Under Review

How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation
NeurIPS 2025 (under review)
Md Kowsher, Nusrat Jahan Prottasha, Shiyun Xu, Shetu Mohanto, Chen Chen, Ozlem Garibay, Niloofar Yousefi Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer
Md Kowsher, Abdul Rafae Khan, Jia Xu

2025

Infinite reservoir transformer
US Patent, Patent No. US20250200362A1
Jia Xu, Md Kowsher
Predicting Through Generation: Why Generation Is Better for Prediction
ACL 2025 (Main)
Md Kowsher, Nusrat Jahan Prottasha, Prakash Bhat, Chun-Nam Yu, Mojtaba Soltanalian, Ivan Garibay, Ozlem Garibay, Chen Chen, Niloofar Yousefi
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
ACL 2025 (Main)
Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Chen Chen, Mojtaba Soltanalian, Niloofar Yousefi
TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
ACL 2025 (Findings)
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
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting
ACL 2025 (TRL Workshop)
Md Kowsher, Md Shohanur Islam Sobuj, Nusrat Jahan Prottasha, E Alejandro Alanis, Ozlem Ozmen Garibay, Niloofar Yousefi
Does Self-Attention Need Separate Weights in Transformers?
NAACL 2025
Md Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Ozlem Ozmen Garibay, Niloofar Yousefi
BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting
NAACL 2025
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, Ozlem Ozmen Garibay
Propulsion: Steering LLM with Tiny Fine-Tuning
COLING 2025 (Oral)
Md Kowsher, Nusrat Jahan Prottasha, Prakash Bhat

2024

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Scientific Reports (Nature Journal)
Nusrat Jahan Prottasha, Md. Shohanur Islam Sobuj, Asif Mahmud, Prakash Bhat, Md Kowsher
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
NeurIPS FITML 2024
Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Chen Chen, Mojtaba Soltanalian, Niloofar Yousefi
L-TUNING: Synchronized Label Tuning for Prompt and Prefix in Large Language Models
ICLR Tiny Papers Track
Md Kowsher, Md. Shohanur Islam Sobuj, Asif Mahmud, Nusrat Jahan Prottasha, Prakash Bhat

2023

Contrastive Learning for Universal Zero-Shot NLI with Cross-Lingual Sentence Embeddings
EMNLP Workshops 2023
Md Kowsher, Abdul As Sami, Anupam Kumar Bairagi
From Hybrid Dialogers to Neural Responders
Amazon Science
João Luís Lins, Nikhil Reddy, Abdul Rafae Khan, Md Kowsher, Abhijeet Gusain, Yeshwanth Reddy, Xuting Tang, Preet Jhanglani, Nusrat Zahan, Mengjiao Zhang, Yu Yu, Darshil Shah, Jia Xu
Impact Learning: A Learning Method from Feature’s Impact and Competition
Journal of Computational Science (Elsevier)
Nusrat Jahan Prottasha, Saydul Akbar Murad, Md Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi
Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding
IEEE Access
Md Kowsher, Abdullah As Sami, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba

Experience

Work Experience

Multimodal LLM Intern

May 2025 - Present

Meta, Menlo Park, CA.

Advisors: Dr. Ali Polat

  • PEFT and LLM training

Research Scientist Intern in LLM

June 2024 - Aug, 2024

Bell Labs, Nokia, NJ, USA.

Advisors: Dr. Chun-Nam Yu

  • PEFT and LLM training

Applied Scientist Intern

May. 2022 - Aug, 2022

Amazon, Seattle, WA, USA.

Advisors: Dr. E. Alejandro Alanis

  • NLP model monitoring system.

AI Scientist

April. 2020 - Aug, 2021

Hishab Ltd, Saarland, Germany

Advisors: Dr. Michael Schmitz

  • AI-driven solutions for conversational agents.
  • Developed machine learning models for NLP.
  • Collaborated with clients to understand their business needs and translate them into AI solutions.

AI Engineer Intern

Nov. 2019 - March, 2020

NKSoft, Dallas, Texas, USA. (Remote)

  • Contributed to the development of a natural language processing module for chatbot application.

Education

MSc, Computer Science

Sept. 2021 - Sept. 2023

Stevens Institute of Technology, NJ, USA

Advisors: Prof. Jia Xu

  • Reservoir Transformer to handle long sequence for LM and time series.

BSc, Applied Mathematics

April 2015 - Aug. 2019

Noakhali Science and Technology University, Noakhali, Bangladesh

Advisors: Prof. Md Jashim Uddin

  • Deep Learning for Bangla chatbot system.

Research Experience

Research Assistant

Aug. 2024 - Present

Center for Research in Computer Vision, UCF, FL, USA.

Advisor: Prof. Chen Chen

  • Conducted cutting-edge research in Vision and Language modeling.

Graduate Research Assistant

Aug. 2024 - Present

University of Central Florida, FL, USA.

Advisor: Prof. Niloofar Yousefi

  • Conducted cutting-edge research in theoretical deep learning and LLM.

Alexa Prize Researcher

Jan. 2022 - June 2022

Amazon, Remote, USA.

Advisor: Prof. Jia Xu

  • Won second place in the Alexa competition.
  • Conducted cutting-edge research in Natural Language Processing (NLP) and LLM for Amazon’s Alexa.

Graduate Research Assistant

Sept. 2021 - Present

Stevens Institute of Technology, NJ, USA.

Advisor: Prof. Jia Xu

  • Conducted cutting-edge research in deep learning and NLP.
  • Proposed a novel Reservoir Transformer architecture for enhancing performance of sequential data.

AI and NLP Research Intern

May. 2018 - Sept. 2019

Global Emerging Technology Networks, Dhaka, Bangladesh

  • Conducted research on Bengali language processing for Bangla Chatbot and sentiment analysis.

Resume

Click here to download my full Resume

Achievement and Awards

  • NAACL Travel Award, 2025
  • ORCGS Fellowship, UCF, 2024
  • Won the second place in Alexa Prize Social Bot Challenge 5, Amazon, USA, 2023
  • Awarded Full Membership, Sigma Xi, The Scientific Research Honor Society, USA, 2023
  • Graduate Fellowship Award (Tuition fee & stipend), Stevens Institute of Technology, USA, 2022
  • Scientist of the Year Award, Global Innovation & Excellence Award, India, 2021
  • Best Paper Award, In. Con. on Networking, Information Systems, ACM, Moscow, 2021, 2023
  • Best Paper Award, In. Con. on Computer and Communications, ACM, Singapore, 2021
  • Best Paper Award, In. Con. on Cyber Security and Computer Science, Springer, 2021
  • Top Wining Award, Coronathon-19, Hackathon on Combating the Coronavirus, Bangladesh, 2021
  • Best Paper Award, In. Con. on Computer, Communication, Chemical, Materials & Electronic Engineering, IEEE, 2021
  • Champion Award Robi r-ventures 2.0, Robi Axiata Limited, 2021
  • National BASIS ICT Award, Bangladesh Association of Software and Information Services, 2021

Academic Services

Conference Reviewer

  • ACL, 2025
  • NAACL, 2025
  • EMNLP, 2024
  • Neurips, 2024
  • EMNLP, 2023
  • ICLR, 2023
  • ICEICT, 2022, 2023
  • ICDM, 2023
  • ICCIDM, 2022, 2021
  • ICMLIS, 2022
  • ICSECS, 2021
  • ICoCSIM, 2021

Journal Reviewer

  • Scientific Reports, Nature, 2023
  • IEEE Access, IEEE, 2022, 2023
  • Electronics, MDPI, 2022, 2023
  • Visual Computing for Industry, Biomedicine, and Art, Springer Journal, 2022, 2023
  • Big Data and Information Analytics , Springer, 2022, 2023
  • Applied Artificial Intelligence,Taylor and Francis, 2022, 2023
  • Sensors, MDPI, 2022, 2023
  • Applied Sciences, MDPI, 2022, 2023

Contact

Location:

UCF, FL, USA