About Me

WHO I AM

I am a Ph.D. candidate in Computer Science at Oklahoma State University, working in the Complex System Lab.

My research is centered on advancing methodologies in Machine Learning, Deep Learning, Natural Language Processing, and Pattern Recognition.

Currently, I am working on addressing the challenges of modality imbalance in multimodal training and on refining transfer learning techniques—such as knowledge distillation across different applications.

Before my Ph.D., I gained industry experience as a Data Scientist & ML Engineer at Neovotech Ltd.

I also contributed to research as a Research Assistant at Apurba-NSU R&D Lab, working closely with Dr. Nabeel Mohammed.

I hold a Bachelor of Science degree in Computer Science and Engineering from North South University (NSU), Bangladesh.

[Resume] [CV] [Google Scholar] [Github] [LinkedIn] [Twitter]
News

MOST RECENT NEWS

  • (March, 2025) Served as a Reviewer for CVPR 2025!
  • (February, 2025) Paper ACCEPTED at PAKDD 2025!
  • (March, 2025) Conducted a DataBytes Workshop on Multimodal Learning at OSU!
  • (July, 2024) Paper ACCEPTED at DSAA 2024!
  • (January, 2024) Paper ACCEPTED at PAKDD 2024!
  • (August, 2023) Started job as Graduate Teaching Assistant at OSU!
  • (August, 2023) Started job as Graduate Research Assistant at OSU!
  • (August, 2023) Joined Complex System Lab at Oklahoma State University!
  • (May, 2023) Completed Machine Learning Specialization offered by Coursera!

Education

DEGREES

PhD in Computer Science

Oklahoma State University Logo

August 2023 - Present

Stillwater, OK, USA

Bachelor of Science in Computer Science and Engineering

Experience

Roles & Duration

Oklahoma State University Logo

Graduate Research Assistant August 2023 - Present

Complex System Lab, Oklahoma State University

  • Investigate modality imbalance in multimodal learning across real-world applications and benchmark datasets to ensure equitable representation of all modalities during model training.
  • Refine knowledge distillation techniques to enhance cross-modal learning.
  • Develop a multimodal framework integrating smartphone/edge-device captured crop/soil patch images with tabular meteorological data for improved soil moisture estimation and precision agriculture.

Graduate Teaching Assistant August 2023 - Present

Department of Computer Science, Oklahoma State University

  • Assist in developing and grading course materials and manage the Canvas platform.
  • Provide one-on-one mentorship, maintain course websites, and participate in curriculum development meetings.
  • Courses include:
    • Design & Implementation of Operating Systems I (Fall 2023)
    • Intro to Object-Oriented Programming (Spring 2024)
NeovoTech Ltd. Logo

Data Scientist & ML Engineer September 2022 – July 2023

NeovoTech Ltd., Dhaka, Bangladesh

  • Create crawlers to scrape news articles from various websites and store them in an AWS S3 bucket.
  • Develop, maintain, and deploy text translation and summarization pipelines.

Machine Learning Intern June 2022 – August 2022

NeovoTech Ltd., Dhaka, Bangladesh

  • Collaborate with colleagues to prepare a web crawler that crawls Swedish news text.
  • Contribute to improving the Neural Machine Translation (NMT) pipeline from Swedish to English text.
Apurba-NSU R&D Lab Logo

Research Assistant September 2021 – September 2022

Apurba-NSU R&D Lab, Dhaka, Bangladesh

  • Collaborate with fellow RAs to train, fine-tune, and deploy deep learning models for image classification, OCR, ASR, sentence similarity, masked language modeling, QA, and NER.
  • Conduct research on model compression techniques (pruning, quantization, and knowledge distillation) and present weekly reports.
Research Works

PUBLICATIONS

(Most Recent First)
  1. Vaughan, Luke, Rakib, Mohammed, Patel, Shivang, Rizatdinova, Flera, Khanov, Alexander, and Bagavathi, Arunkumar. (2025). PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context. In Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2025).

  2. Rakib, Mohammed, Adil Aman Mohammed, Cole Diggins, Sumit Sharma, Jeff Michael Sadler, Tyson Ochsner, and Arun Bagavathi. (2024). MIS-ME: A Multi-modal Framework for Soil Moisture Estimation. In Proceedings of the 11th International Conference on Data Science and Advanced Analytics (DSAA 2024).

  3. Rafiuddin, S. M., Rakib, Mohammed, Kamal, Sadia, and Bagavathi, Arunkumar. (2024). Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. In Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024).

  4. Rakib, Mohammed, Hossain, Md. Ismail, Mohammed, Nabeel, and Rahman, Fuad. (2023). Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models. In Proceedings of the International Conference on Software and Computer Applications (ICSCA 2023).

  5. Mollah, Sabbir, Rakib, Mohammed, Mashrur Wasek, AKM Shahariar Azad Rabby, Fuad Rahman, and Nabeel Mohammed. (2023). Automated Mapping of Healthcare Concepts to a Standardized Healthcare Taxonomy. In Archive of Tiny Papers, International Conference on Learning Representations (ICLR 2023).

  6. Hossain, Md. Ismail, Rakib, Mohammed, Elahi, M. M. Lutfe, Mohammed, Nabeel, and Rahman, Shafin. (2022). COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks. In IEEE Transactions on Artificial Intelligence (TAI)

  7. Hossain, Md. Ismail, Rakib, Mohammed, Mollah, Sabbir, Rahman, Fuad, and Mohammed, Nabeel. (2022). LILA-BOTI: Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition. In Proceedings of the 26th International Conference on Pattern Recognition (ICPR 2022).

  8. Nawar, Afra, Rakib, Mohammed, Hai, Salma Abdul, and Haq, Sanaulla. (2022). An Open Source Contractual Language Understanding Application Using Machine Learning. In Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference.

  9. Rakib, Mohammed, Haq, Sanaulla, Hossain, Md. Ismail, and Rahman, Tanzilur. (2022). IoT Based Air Pollution Monitoring & Prediction System. In Proceedings of the 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET 2022).

  10. Noor, Fahima, Haq, Sanaulla, Rakib, Mohammed, Ahmed, Tarik, Jamal, Zeeshan, Siam, Zakaria Shams, Hasan, Rubyat Tasnuva, Adnan, Mohammed Sarfaraz Gani, Dewan, Ashraf, and Rahman, Rashedur M. (2022). Water Level Forecasting Using Spatiotemporal Attention-Based Long Short-Term Memory Network. In Water, 14(4), 612.
Get in Touch

Contact

229 N Duncan Street, Stillwater, Oklahoma, USA