Md Shihab Uddin

About

PhD researcher in Computer Engineering at UAH, working at the intersection of reinforcement learning, NLP, and intelligent transportation systems. I combine academic research and 4+ years of industry experience to build AI solutions for mobility, language, and real-world data.

Latest News

Stay updated with my latest activities, research, or publications.

Paper Accepted at IEE ITSC 2025

Published my paper on the data-driven modeling of the car-following behavior for Electric Vehicle at IEEE ITSC 2025, Gold coast, Australia.

Presented Presented at IEEE UEMCON 2024

Published my paper on "Bangla SBERT" at IEEE UEMCON 2024 held in New York.

Submitted paper at IEEE MLCAD 2025 Symposium

Worked on CPU Burst Forecasting and improve the latency using ML

Education

PhD in Computer Engineering

2025 - Present

University of Alabama in Huntsville (UAH), USA

Research Focus: Reinforcement Learning, NLP, and Intelligent Transportation Systems

Master Of Science in Information and Communication Technology

2021 - 2022

Comilla University, Comilla

CGPA : 3.54/4.00

Bachelor Of Science in Information and Communication Technology

2016 - 2020

Comilla University, Comilla

CGPA : 3.70/4.00

Publications

1. Modeling Electric Vehicle Car-Following Behavior: Classical vs Machine Learning Approach , accepted at IEEE ITSC 2025

Shihab Uddin, Md. Nazmus Shakib, Rahul Bhadani.

DOI (pending or not yet public)

This comparative study evaluates classical and machine learning approaches for modeling electric vehicle car-following behavior, providing insights into the strengths and limitations of each methodology in capturing EV-specific driving dynamics.

2. Bangla SBERT - Sentence Embedding Using Multilingual Knowledge Distillation

M. S. Uddin, M. A. Haque, R. H. Rifat, M. Kamal, K. D. Gupta and R. George.

DOI: 10.1109/UEMCON62879.2024.10754765

This paper presents Bangla SBERT, a distilled sentence embedding model optimized for the Bangla language. We apply multilingual knowledge distillation to enhance semantic understanding for low-resource NLP tasks.

3. Semantic Topic Extraction from Bangla News Corpus Using LDA and BERT-LDA

P. C. Paul, Md. Shihab Uddin, M. T. Ahmed, M. Moshiul Hoque and M. Rahman.

DOI: 10.1109/ICCIT57492.2022.10055173

This study explores topic modeling in Bangla using LDA and BERT-LDA, demonstrating the improved coherence and semantic accuracy of transformer-enhanced topic extraction from large-scale news corpora.

4. A Cross-Domain Exploration of Audio and Textual Data for Multi-Modal Emotion Detection

Ariful Haque, M., George, R., Hossain Rifat, R., Md. Shihab Uddin, M. Kamal, & Datta Gupta, K.

DOI: 10.1145/3652037.3663943

This work investigates multi-modal emotion detection using both audio and text inputs. The proposed models reveal that domain-specific training significantly improves emotion classification across modalities.

5. Efficient CPU Burst Forecasting with Low-Latency Machine Learning Models (under review, IEEE MLCAD 2025)

Md Nazmus Shakib, Md Ashraf Hossain Ifty, Md. Shihab Uddin, Rahul Bhadani.

This paper investigates the use of ML models (KNN, DT, RF, MLP) for predicting CPU burst times based solely on submission-time attributes. These models are benchmarked against the exponential averaging (EA) method using the GWA-T-4 AuverGrid dataset. The study evaluates not only prediction accuracy but also inference latency for real-time scheduling. While KNN achieves high accuracy, the DT model shows the best trade-off between accuracy (MAE 3514.09, CC 0.84) and latency (0.0033 ms/sample). Confidence intervals and robustness testing confirm the feasibility of using ML for real-world CPU scheduling.

Skills

Python
Machine Learning
Conversational AI
Computer Vision
Natural Language Processing
Docker
Linux
Docker
Object Oriented Programming
MySQL
Leadership

Professional Experience

Senior Software Engineer

Silicon Orchard Ltd.

July 2023 - January 2025
    Taxation System Optimization
  • Designed Proof of Concepts (POCs), and Software Workflows to address specific business challenges.
  • Managed the project with cross-functional teams and clients to design, implement, and deploy features.
  • Designed and developed property recommendation system,property savings prediction model.
  • Developed APIs to serve ML models using frameworks like Flask, Fast API.
  • Leveraged Large Language Models (LLMs) to tackle tax applications while reducing cost & response time.
    Explainable 3D Medical Image Classification
  • Perform thorough data preprocessing and augmentation for 3D medical image datasets.
  • Construct and optimize 3D image classification models for medical data with a focus on interpretability
  • Implement IBA and GradCam techniques to enhance the interpretability of the 3D medical image classification models
    Double Modality Sentiment Detection
  • Create novel datasets by merging diverse open-source datasets for both audio and text modalities.
  • Build accurate audio and text classification models with a target accuracy of 84% and 73%, respectively, using advanced sequence learning techniques
  • Construct an efficient inference engine using Streamlit for real-time sentiment detection in both audio and text modalities.

Software Engineer (NLP)

Technometrics Limited

June 2022 - June 2023
    Bangla Language Model
  • Built a text data pipeline which reduce the process time 45%
  • Using a data-centric approach, i created a Bangla language modeland increased its accuracy by 82% over previous training.
  • Bangla ASR
  • Reduced end-to-end ASR training time by 77% by utilizing bucketing technique.
  • Reduced end-to-end ASR model Word Error Rate from 31 to 25 by utilizing self training / semi-supervised techniques for ASR.
  • Built an automatic speech data collection pipeline and collected 20 thousand hours of speech data from the public internet.
  • Created a 30 thousand hours dataset of Speech data using data augmentation of 15 thousand hours.
  • Social Media Monitoring System
  • Developed, and maintained an automatic cookies-based login system for an automation platform.
  • Created APIs for different statistical features for the system

Junior Machine Learning

Ishraak Solutions Limited

Dec 2020 - May 2022
    JobXprss
  • Developed a resume extractor which can extract user information from their resume using BERT.
  • Developed an NLP – based job extractor that extracts information from unstructured job data.
  • Developed an application to detect job posts or not with accuracy of 98% Worked on an application that verifies user profiles to see if the profile photo is appropriate or not.
  • Worked on a hybrid Job Recommendation.
  • ● Worked on a job categorization application that classified 50 categories with 81% of accuracy.
  • Worked on Multi Classification and Binary Classification problems based on NLP.
  • Developed a Custom Named Entity Recognition Using Spacy

Extra Caricular Activites

President, Comilla University IT Soceity
2020 - 2021
Joint Secretary, ICT Association, Dept. Of ICT
2019 - 2020
Radio Jockey, RadioCou
2018 - 2020

Language Proficiency

English, Overall 6.5
  • Speaking 7.0
  • Reading 6.5
  • Listening 6.5
  • Writing 6.0
Bangla, Native

Certificates

  • All
  • Machine Learning
  • Software Engineering
  • Leadership

Testimonials

I had the pleasure of working with Shihab Uddin and was consistently impressed by his expertise and professionalism. He has strong command over machine learning, excels in software requirements analysis, and demonstrates excellent leadership skills. Shihab is thoughtful, dependable, and brings a collaborative spirit to any team. He’s truly an asset in any tech-driven environment.

Mahfuzur Rahman

Lead Software Engineer

I have had the pleasure of working closely with Md Shihab Uddin on various projects, and I wholeheartedly recommend him as an exceptional Software Engineer (NLP). Md Shihab possesses a strong skill set in Python, Machine Learning, Conversational AI, Data Science, Natural Language Processing, and Computer Vision. Md Shihab's ability to provide innovative solutions and his dedication to problem-solving are truly commendable. His expertise in NLP and Conversational AI has been instrumental in developing cutting-edge applications. Md Shihab consistently delivers high-quality results by combining his technical knowledge with a deep understanding of the domain.

Jahangir Soud

Senior Software Engineer

I highly recommend Shihab as an outstanding machine learning engineer. His passion for the field and exceptional technical expertise consistently stood out during our time working together. Shihab's ability to tackle complex problems with creativity and precision is truly impressive. His collaborative nature and excellent communication skills make him a pleasure to work with.

Sultan Al Raihan

Software Engineer

He is really a talented software engineer, programmer and NLP expert. Cordially appreciating his works

Saadman Sayeed Saad

Software Engineer

During our B.Sc., I had the opportunity to collaborate with Md Shihab Uddin in our android class project as part of the same project group. Throughout the project, I noticed his exceptional creativity and ability to generate intriguing ideas. Moreover, he consistently displayed openness towards accepting and valuing the ideas of others. He was always willing to assist and support his teammates within the group. Working with him for the entire semester on this project was a truly enriching experience, as I had the chance to acquire valuable knowledge from him. If I were to sum him up in a single word, I would describe him as humble, yet possessing an inherent quality for leadership.

Maksuda Haider Sayma

Lecturer

An IT loving people. Now leading Comilla University IT Society. His leadership quality is really amazing. With a strong academic result he is maintaining everything. That's much inseparable. He is well skilled at managing a team. Having huge experience on managing massive program he also maintaining different type of workshop and training with 100% of success. We wish the best for himself always.

Nazmul Alam Ridoy

Graphic Designer

Contact

Location:

Huntsville, Alabama, USA

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