About

I am a Graduate Research Assistant at Alfred University, pursuing an M.Sc. in Electrical Engineering with a focus on artificial intelligence and machine learning. My research primarily explores catastrophic forgetting in Large Language Models (LLMs), computer vision applications, and natural language processing.

I am also the founder of Gradmate.ai, an AI platform that assists graduate students in finding programs and crafting application materials using advanced LLM orchestration techniques. My work has been published in several international conferences, and I have created multiple open-source datasets for the research community.

Recently, I achieved recognition by tying for 1st place in the 2024 Advizex AI Innovation Challenge, where I developed an AI sales bot projected to increase ROI by 25%.

Research Interests

Large Language Models Catastrophic Forgetting Computer Vision Natural Language Processing Deep Learning Multi-Agent Systems AI Ethics Machine Learning

Publications

Journal & Conference Papers

Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks
Naimul Haque
ACL ARR 2024 (Under Review)
FaceGemma: Enhancing Image Captioning with Facial Attributes for Portrait Images
Naimul Haque, Iffat Labiba, Sadia Akter
International Conference on Pattern Recognition (ICPR)
ArXiv
BdSpell: A YOLO-based Real-time Finger Spelling System for Bangla Sign Language
Naimul Haque, Meraj Serker, Tariq Bin Bashar
ICRIC 2023 International Conference on Recent Innovations in Computing
ArXiv
Bangla Toxic Comment Classification and Severity Measure Using Deep Learning
Naimul Haque, Md. Bodrul, Abdullah, Towfiq, Mehorab
International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET-2022)
IEEE
Automatic Bangla License Plate Recognition System for Low-Resolution Images
Naimul Haque, Samira Islam, Rabeiya Afrose, Mohammad Shorif Uddin
2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI)
IEEE Code
Grayscale Portrait Colorization using CNNs and Pretrained VGG-Face Descriptor
Naimul Haque, Samin Shahriar Tokey
2019 22nd International Conference on Computer and Information Technology (ICCIT)
IEEE Code

Datasets & Models

FaceAttDB: A Multilingual Dataset for Facial Attribute Captioning
Naimul Haque, Abida Sultana
Zenodo, June 2023
Download
Bangla Toxic Comments Database
Naimul Haque, Badrul
HuggingFace, June 2023
Dataset
GlueOrca & GlueQwen: Fine-tuned Models for GLUE Benchmark Tasks
Naimul Haque
HuggingFace Model Repository
GlueOrca GlueQwen

Experience

Graduate Research Assistant
Alfred University
January 2024 - Present

Conducting research in AI and Deep Learning, focusing on catastrophic forgetting in Large Language Models. Setting up Advanced Power Distribution Management Lab with GE's ADMS and AEMS systems.

  • Evaluating LLMs for sequential fine-tuning on NLP tasks
  • Developing techniques to mitigate performance degradation
  • Teaching Assistant for Python for Power Electronics
Founder & CEO
Gradmate.ai
January 2024 - Present

Founded an AI platform assisting graduate students in finding programs and crafting application materials using LLM agents orchestration.

  • Implemented LangChain and LangGraph for agent orchestration
  • Utilized Groq and DeepSeek for efficient inference
Assistant Professor
Uttara University
August 2023 - December 2023

Conducted undergraduate courses in Computer Science and Engineering.

  • Discrete Mathematics, Data Structure, Structured Programming
Lecturer & Lab Director
Manarat International University & Cognition.AI
April 2019 - March 2023

Taught advanced AI courses and supervised undergraduate research at Cognition.AI lab.

  • Artificial Intelligence, Computer Vision, Neural Networks
  • Pattern Recognition, Algorithms, Microprocessor Systems
  • Supervised students on CV and NLP research projects

Education

  • M.Sc. Electrical Engineering
    Alfred University, NY (2024-Present)
  • B.Sc. Computer Science & Engineering
    Ahsanullah University (2019)

Technical Skills

  • Programming: Python, C/C++, MATLAB, JavaScript
  • ML/AI: TensorFlow, PyTorch, Keras, Scikit-learn
  • NLP: HuggingFace, LangChain, LangGraph, Transformers
  • Computer Vision: OpenCV, YOLO, CNNs
  • Tools: Git, Docker, Google Cloud, LaTeX

Awards & Recognition

Advizex AI Innovation Challenge
Tied for 1st Place (2024) - AI sales bot development
EPRI Machine Vision Certification
22 PDHs in Power Industry AI applications
Multiple Programming Competitions
1st and 2nd place finishes in university competitions

Current Projects

Catastrophic Forgetting in LLMs: Investigating performance degradation when LLMs are sequentially fine-tuned on different NLP tasks.

AI Grid Optimization: Developing AI-driven solutions for power distribution management using GE's ADMS systems.

Gradmate.ai Platform: Building comprehensive AI assistance for graduate school applications.