Henry Ansah

I am currently a PhD student at the University of New Orleans working under at the . My research interest lies in the intersection between Multimodal Machine Learning, Natural Language Processing, and Reasoning. My research goal is to explore all the various ways to enable commonsense reasoning in vision and language models, drawing insights from the cognitive nature that surrounds the reasoning capabilities of biological entities.

Education

  1. Company
    University of New Orleans
    Role
    PhD Computer Science
    Date
  2. Company
    Kwame Nkrumah University of Science and Technology
    Role
    Bsc. Electrical Engineering
    Date
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Experience

  1. Company
    Humans, Hybrid AI, and Machines (HAIM) Lab
    Role
    Research Assistant
    Date
  2. Company
    Ipay Solutions Limited
    Role
    Software Engineer
    Date
  3. Company
    Stanbic Bank Ghana
    Role
    Site Reliability Engineer
    Date

Skills

    • Python
    • C++
    • Pytorch
    • Tensorflow
    • Transformer Lib
    • Scikit-learn
    • Numpy
    • NLTK
    • HuggingFace

Latest

CogSci 2025 Submission Reviewer

I reviewed 2 submissions for the 2025 Cognitive Science Society (CogSci) conference.

SAC 2025 Submission Reviewer

I reviewed 2 submissions for the 2025 ACM Symposium on Applied Computing (SAC) Knowledge and Natural Language Processing track.

Joined the University of New Orleans as a PhD Student in Computer Science.

I am currently a PhD student at the University of New Orleans working under Dr. Shreya Banerjee.

CoCa: Contrastive Captioners are Image-Text Foundation Models Visually Explained

Dive deep into the Contrastive Captioner (CoCa) model, an advanced image-text foundation model in machine learning.

Adversarial Attacks on Neural Networks: Exploring the Fast Gradient Sign Method

This article captures the details of how to fool a neural network into making wrong predictions using a very fascinating technique - FGSM.