Imran Hossain

Imran Hossain Email and Phone Number

CS PhD Candidate | Computer Vision | Generative AI | Deep Learning | Explainable AI | @ University of South Florida
Imran Hossain's Location
Tampa, Florida, United States, United States
About Imran Hossain

I am a PhD candidate in Computer Science at USF, driven by a passion for deep learning and computer vision. My research focuses on developing explainable and interpretable AI models that foster transparency and trust in computer vision and machine learning, particularly in healthcare. I work on advanced methods that integrate visual and semantic insights to enhance model transparency for end users.I have published and submitted several papers to prestigious conferences and journals, including ACM, IEEE-EMBC, MICCAI, IEEE-CBMS, and Nature, demonstrating my skills and expertise in CV/ML. Collaborating with institutions such as Tampa General Hospital and Stanford University, I aim to drive real-world AI applications that make a significant impact. I am seeking full-time CV and ML research opportunities where I can learn from industry leaders and contribute to cutting-edge innovations. Please feel free to reach out if you have any openings or suggestions!

Imran Hossain's Current Company Details
University of South Florida

University Of South Florida

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CS PhD Candidate | Computer Vision | Generative AI | Deep Learning | Explainable AI |
Imran Hossain Work Experience Details
  • University Of South Florida
    Research Assistant
    University Of South Florida May 2021 - Present
    Tampa, Florida, United States
    • Synthetic Data generation using Diffusion Models for neonatal pain assessment. Designing Explainable AI (XAI) algorithms to explain the generative black-box models. Vision-Language Models (VLMs) for the concept-based explanation.• Developed a novel multimodal XAI technique using visual (GradCAM, GradCAM++, ScoreCAM) and non-visual (Influence Function) explanation methods for neonatal postoperative pain assessment from multimodal datasets.• Developed an XAI algorithm via influence function to explain deep network and identified the most helpful and harmful training data for better accuracy and compressed dataset (reduced up to 5%).• Enhanced the explanations (Spearman correlation up to 0.95) by adding similarity-based (Cosine Similarity, Euclidean Distance, Structural Similarity Index) terms within the Influence Function for a facial expression dataset.
  • University Of South Florida
    Graduate Teaching Assistant
    University Of South Florida Aug 2020 - May 2021
    Greater Tampa Bay Area
    • Directed graduate students (over 40) with Digital Image Processing in C++, conducted lab sessions, set exam questions, created and updated course online modules, and facilitated office hours.Led and facilitated senior-year students for microcontroller programming in C during lab sessions.• Supervised a team of 04 TAs, revamped problem sessions, guided students in project completion, and administered quizzes.
  • Stony Brook University
    Graduate Research Assistant
    Stony Brook University Jan 2019 - May 2020
    Greater New York City Area
    • Implemented Recurrent Neural Network (RNN) to classify different actions in video dataset. Employed a VGG-based network for feature extraction and an LSTM network for classification with an accuracy of 95%.• Improved the accuracy (94%) of an ensemble-based CNN technique to classify cooking object’s state using PyTorch.

Imran Hossain Education Details

Frequently Asked Questions about Imran Hossain

What company does Imran Hossain work for?

Imran Hossain works for University Of South Florida

What is Imran Hossain's role at the current company?

Imran Hossain's current role is CS PhD Candidate | Computer Vision | Generative AI | Deep Learning | Explainable AI |.

What schools did Imran Hossain attend?

Imran Hossain attended Stony Brook University, University Of South Florida, Rajshahi University Of Engineering & Technology.

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