Skip to content
View aminul-huq's full-sized avatar
🏠
Working from home
🏠
Working from home
  • University of Nevada Reno
  • Reno, Nevada, USA

Block or report aminul-huq

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
aminul-huq/README.md

Education

  • P.hD. in Computer Science & Engineering, University of Nevada Reno. (onGoing)
  • M.Sc. in Computer Science & Engineering, Tshinghua University, 2021.
  • B.Sc. in Computer Science & Engineering, Rajshahi University of Engineering & Technology, 2017.

Recent News

  • October 2023. Corn Abnormality Dataset has been released
  • August 2023. 1 Paper accepted to the 18th ISVC

Publications

  • Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches
    Aminul Huq, Dimitris Zermas & George Bebis. ISVC.

Invited Talks

  • International Symposium on Visual Computing
    "Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches"
    18th October, 2023
  • Computational Modeling and Analysis Core Meet and Greet
    "Computer Vision Applications Using Deep Leaning"
    14th December, 2023

Experience

  • Graduate Research Assistant
    Spring 23 - OnGoing
  • Graduate Teaching Assistant
    Fall 23 - Ongoing Course: Image Processing, Pattern Recognition
  • Lecturer
    Brac University, 2018-2022(on Leave)

Pinned Loading

  1. Adversarial-Examples-For-Audio-Data Adversarial-Examples-For-Audio-Data Public

    Repo for papers to read on adversarial attack and defense techniques in the audio domain.

    35 4

  2. CNN-RNN-for-Multiclass-Classification-on-SST-dataset CNN-RNN-for-Multiclass-Classification-on-SST-dataset Public

    PyTorch implementation of multi-class sentiment classification on SST dataset using CNN and RNN.

    Jupyter Notebook 6

  3. CVAE_pytorch CVAE_pytorch Public

    CVAE implementation on MNIST dataset using PyTorch

    Python

  4. DeepFool DeepFool Public

    PyTorch implementation of DeepFool adversarial attack.

    Jupyter Notebook 7 3

  5. WideResNet_MNIST_Adversarial_Training WideResNet_MNIST_Adversarial_Training Public

    WideResNet implementation on MNIST dataset. FGSM and PGD adversarial attacks on standard training, PGD adversarial training, and Feature Scattering adversarial training.

    Python 3 1

  6. Speech-Command-Classification Speech-Command-Classification Public

    Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpec…

    Python 9 5