Umar Masud

I am a final year undergrad at JMI University, New Delhi.
My interest is in research in the field of ML/AI and Computer Vision.
I have applied knowledge of Image Processing, Machine Learning, and Deep Learning, with hands-on practice in various image-related tasks in Computer Vision. I keep reading multiple relevant pieces of literature and try to implement them in code.
I also have a basic to intermediate knowledge of web development technologies.

Apart from exploring the latest research and technology developments, I can be found consuming content about innovation, ideas, entrepreneurship, start-ups, finance, and alike. A keen interest in the start-up ecosystem.

Education

Experience

PUBLICATIONS

1. Masud, U., Cohen, E., Bendidi, I., Bollot, G., Genovesio, A. (2022). Comparison of semi-supervised learning methods for High Content Screening quality control. In BioImage Computing workshop at ECCV 2022. https://doi.org/10.48550/arXiv.2208.04592
2. Masud, U., Siddiqui, M., Sadiq, Mohd., Masood, S. (2022). SCS-Net: An efficient and practical approach towards Face Mask Detection. Procedia Computer Science Journal. Accepted at ICMLDE, 2022. https://doi.org/10.1016/j.procs.2023.01.165
3. Jambigi, C., Masud, U., Chakraborty, A. (2022). G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques. Accepted at ICVGIP, 2022. https://doi.org/10.1145/3571600.3571655
4. Masud, U., Shwenker, F. (2022). Compressed Image Super-Resolution using Pre-trained Model Assistance. Accepted at COMSYS, 2022.
5. Masud, U., Sadiq, Mohd., Masood, S., Ahmad, M., and Ahmed A. Abd El-Latif. 2023. LW-DeepFakeNet: A Lightweight Time Distributed CNN-LSTM network for real-time DeepFake Video Detection. Accepted in Signal, Image and Video Processing.
6. Masud, U., Agarwal, A. (2021). Analysing Statistical methods for Automatic Detection of Image Forgery. arXiv. https://doi.org/10.48550/arXiv.2111.12661

Skills

• Python,
• Java,
• HTML/CSS,
• PHP,
• Javascript.

• NumPy,
• Pandas,
• Matplotlib,
• Sklearn,
• OpenCV,
• Keras,
• TensorFlow,
• PyTorch,
• Flask.

• MySql,
• PostgreSQL

• Communication,
• Public Speaking,
• Critical Thinking,
• Team Leadership,
• Team Management.

Projects

• Classical ML
  • Reproduced 5 papers on the topic Image Forgery Detection that uses handcrafted features for classification of pristine and tampered images.
  • Diabetic Retinopathy Detection using Texture Features and Ensemble Learning (paper implementation). Achieved F1-score = 0.97 and accuracy = 97.2%.
  • Fog detection in images using GLCM based features and SVM (paper implementation). Got F1-score = 0.83 and test accuracy = 82.3%
  • Phishing URL detection system based on URL features using SVM (paper implementation). Achieved F1-score = 0.99 and test accuracy = 99.2%
• OpenCV Projects
  • Air-Piano, an air-based piano enabling the person to play through hand(fingertip) movements.
  • Air-Drum System, an air-based drum beat generator.
  • Background Color Detection, uses 2 techniques to detect a suitable background for the input image.
  • Compress img, a CLI based program to compress images using the KL Transform.
• Deep Learning
  • Going deeper with U-Nets for Binary Image Skeletonization (ongoing).
  • Image Inpainting using a U-Net model with a fused ConvMixer encoder. (Report)
  • Different Descriptors for Squeeze and Excitation Attention Block - experimented with standard deviation, trace, largest singular value, and DC coefficient of DCT instead of usual GlobalAvgPool2d. (Report)
  • Background Remover tool for portrait images of humans, made using a U-Net model trained for semantic segmentation of the image. The model achieved 0.981 IOU-score on test data. Also deployed on a web-app.
  • Implemented the paper - Medical image denoising using Convolutional Denoising Autoencoders(CAE). Achieved a loss = 0.106 or Structural Similarity Index(SSIM) = 0.894 .
  • Image similarity measure through Siamese network on fashion apparels. Got an evaluation accuracy of 94.2%
  • Plant Pathology Challenge, a FGVC8 workshop challenge at CVPR-2021 for multi-label classification of plant leaf diseases. Got 87.34 accuracy with a pre-trained model as feature extractor.
  • Human Emotion Detection, Pneumonia Prediction models.

• Banking System
  • The project contains a simple banking system that enables to transact between the customers. It uses HTML, CSS, bootstrap, PHP, and MySQL, with the local server provided by the XAMPP.
• Website Template for InnerveSOC
  • As a part of the InnerveSOC competition, designed a complete website template for Innerve Tech-Fest 2020, IGDTUW. I was the adjudged winner.

Awards & Honors

• Research Week with Google 2023: Amongst 250 people accepted for participation by Google Research India.
• Online Asian Machine Learning School (OAMLS): Accepted with full scholarship as a part of ACML 2022.
• Robotics & AI Summer School 2022: Accepted to this summer school hosted by IRI, CSIC-UPC.
• DAAD-WISE Scholarship 2022: Financial aid for Summer Research Internship in Germany.
• Workshop on AI for Computational Social Systems(ACSS) 2021: - 3rd place in Student Paper Competition.
• 5th Summer School of AI 2021 - IIIT Hyderabad - One amongst 500 participants worldwide.
• Winner-Innerve Summer of Code Challenge 2020 - Indira Gandhi Delhi Technical University for Women.
• INSPIRE Science Award For Top 1% - Scholarship for Higher Studies by Govt. of India.
• Mr. Harbinder Singth Dugal Rolling Trophy - Awarded for Proficiency in Science ISC-XII
• Mr. G W Mayer’s Merit Scholarship - Awarded for excellence in Mathematics and Science
• Shanker Sumeda Rolling Trophy - Awarded for Excellence in Academics.