Skip to content
View Onimee58's full-sized avatar
🎯
Focusing
🎯
Focusing

Organizations

@Cy-QuBIT

Block or report Onimee58

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Onimee58/README.md

Wellcome to My Profile

Linkedin Badge Github Badge Scholar Badge

Dr. Onim is a Post Doctoral Fellow at the Southern Methodist University, Dallas, Texas. He did his PhD in Computer Engineering in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, as a UT-ORII GATE Fellow. His research sits at the intersection of machine learning, quantum machine learning, and digital health, with a strong focus on applying hybrid quantum-classical models to real-world problems in healthcare, cyber-physical systems, and wearable sensing.
His work spans computer vision, deep learning, time-series modeling, and physiological signal analysis, with applications including stress and emotion detection, Alzheimer’s-related behavioral analytics, and anomaly detection. He also has experience building end-to-end research pipelines, from data acquisition and preprocessing to model development, evaluation, and deployment, often leveraging HPC environments and emerging quantum computing frameworks.
Before his PhD, he served as a Lecturer in the Department of Electrical, Electronic and Communication Engineering at the Military Institute of Science and Technology (MIST), Bangladesh. This role helped strengthen his teaching, mentoring, and curriculum development skills and reinforced his commitment to rigorous engineering education and student-centered learning. He enjoys interdisciplinary collaboration and is always open to research partnerships, academic discussions, and industry-academia opportunities aligned with machine learning, quantum computing, and digital health. Feel free to reach out if you would like to connect or explore potential collaborations.

My skills:

Python HTML C LaTeX Assembly

Pinned Loading

  1. SolNET SolNET Public

    A CNN for Solar Panel Dust Detection

    Python 12 3

  2. dibaloke/skin-lesion-classification dibaloke/skin-lesion-classification Public

    Classification of skin lesion with Ensemble Architectures

    Python 1

  3. Road_Traffic_Localization_in_ELL Road_Traffic_Localization_in_ELL Public

    Implementation of the paper "Road Traffic Localization in Extremely Low Light with Generative Adversarial Network"

  4. MIST_EECE MIST_EECE Public

    EECE Departmental public codes

    TeX 3 1

  5. rock_paper_scissor rock_paper_scissor Public

    Python

  6. image-super-resolution image-super-resolution Public

    Forked from idealo/image-super-resolution

    🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

    Python 1