About Me

Student Researcher

I am a Research Assistant at University of Central Florida, passionate about exploring multimodal research, including text, video, image, and audio. In the summer of 2025, I will join Meta as a Multimodal Generative AI Intern, and in the summer of 2026, I will work as a Multimodal Research Scientist Intern at Dolby Research Labs. Previously, I completed an internship in LLM research at Nokia Bell Labs in 2024. From 2023 to 2024, I worked with the Amazon Alexa team in Amazon Alexa Social Bot Challenge-5 , focusing on chatbot development, long-context modeling, and generating images based on chat inputs, and won 2nd prize. In 2022, I interned as an Applied Scientist at Amazon Music, where I worked on the Amazon Music and Language Model Monitoring System. Before that, I worked as an AI Scientist at Hishab Ltd., focusing on Bangla NLP (2020-2021), and as an AI Engineer Intern at NKSsoft in 2020. I earned my Master’s degree from Stevens Institute of Technology (2021-2023), focusing on natural language processing (NLP) and deep learning. I am deeply passionate about deep learning research to solve real-world challenges and drive innovation in AI.

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News

Publications

 

Under Review

Propulsion for Tiny Fine-Tuning
EMNLP 2024
Md Kowsher, Nusrat Jahan Prottasha, Ella Jean Crabtree, Hongbo Liu, Shudhanshu Ranjan, Shahram Khadivi, Jia Xu
All Context Aware Reservoir Transformer
EMNLP 2024
Md Kowsher, Abdul Rafae Khan, Reza Ghanadan, Yuping Huang, Yang Liu, Jia Xu
Reservoir transformer at infinite horizon: The lyapunov time and the butterfly effect
Neurips 2024
Md Kowsher, Abdul Rafae Khan, Jia Xu
Shared-Weight Self-Attention in BERT for Efficiency and Generalization
EMNLP 2024
Md Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Jia Xu
Adaptive User Profile Generation and Updating with Large Language Models
EMNLP 2024
Nusrat Jahan Prottasha,Md Kowsher, 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

 

2023

Contrastive Learning for Universal Zero-Shot NLI with Cross-Lingual Sentence Embeddings
EMNLP Workshops-2023
Md Kowsher,Abdul As Sami, Anupam Kumar Bairagi
Synthetic Evaluation of Fairness in Transformer Models with Multiple Sequential Masks: Insights from Multi-Kernel Methods
Sensors (Accepted)
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, Md Kowsher, WeApurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi

 

2022

A Comprehensive Review on Big Data for Industries: Challenges and Opportunities
IEEE Access, IEEE
Supriya Sarker, Mohammad Shamsul Arefin, Md Kowsher, Touhid Bhuiyan, Pranab Kumar Dhar, Oh-Jin Kwon BSDRM: A Machine Learning Based Bug Triaging Model to Recommend Developer Team
ICMIET, Springer Link
KM Aslam Uddin, Md Kowsher, Kazi Sakib Bangla-BERT: transformer-based efficient model for transfer learning and language understanding
IEEE Access, IEEE
Md Kowsher, Abdullah As Sami, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba An enhanced neural word embedding model for transfer learning
Applied Sciences, MDPI
Md Kowsher, Md Shohanur Islam Sobuj, Md Fahim Shahriar, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba A review on job scheduling technique in cloud computing and priority rule based intelligent framework
Journal of KSU Computer and Information Sciences, Elsevier
Saydul Akbar Murad, Abu Jafar Md Muzahid, Zafril Rizal M Azmi, Md Imdadul Hoque, Md Kowsher

 

2021

Support directional shifting vector: A direction based machine learning classifier
Emerging Science Journal
Md Kowsher, Imran Hossen, Anik Tahabilder, Nusrat Jahan Prottasha, Kaiser Habib, Zafril Rizal M Azmi SeqVectorizer: Sequence Representation in Vector Space
NIS, ACM
Md Kowsher, Avishek Das, Md Murad Hossain Sarker, Anik Tahabilder, Md Zahidul Islam Sanjid Sdsv: angle measurement for supervised classification
Procedia Computer Science, Elsevier
Md Kowsher, Imran Hossen, Anik Tahabilder, Nusrat Jahan Prottasha, Md Murad Hossain Sarker, Nazmul Ahasan, Md Imdadul Hoque Lemmatization algorithm development for bangla natural language processing
ICIEV, IEEE
Md Kowsher, Anik Tahabilder, Md Murad Hossain Sarker, Md Zahidul Islam Sanjid, Nusrat Jahan Prottasha Knowledge-base optimization to reduce the response time of bangla chatbot
ICIEV, IEEE
Md Kowsher, Anik Tahabilder, Md Zahidul Islam Sanjid, Nusrat Jahan Prottasha, Md Murad Hossain Sarker

 

2020

Machine Learning Based Recommendation Systems for the Mode of Childbirth
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer
Md Kowsher, Nusrat Jahan Prottasha, Anik Tahabilder, Md Islam Impact-Learning: A Robust Machine Learning Algorithm
ICCCM, ACM
Md Kowsher, Anik Tahabilder, Saydul Akbar Murad Detecting third umpire decisions & automated scoring system of cricket
IC4ME2, IEEE
Md Kowsher, M Ashraful Alam, Md Jashim Uddin, Faisal Ahmed, Md Wali Ullah, Md Rafiqul Islam Doly: Bengali chatbot for bengali education
IC4ME2, IEEE

Resume

Click here to download my full CV.

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.

Work Experience

Machine Learning Intern

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.

Research Experience

Alexa Prize Researcher

Jan. 2022 - June 2022

Amazon, Remote, USA.

Advisor: Prof. Jia Xu

  • Won second place in the Alexa competition.
  • Conducting cutting-edge research in Natural Language Processing (NLP) (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

Achievement and Awards

  • 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

  • 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:

Stevens Institute of Technology, NJ, USA