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Research Group Publications Datasets

 

Faculty
Ajita Rattani

Dr. Ajita Rattani

Research interests: Biometric, Computer Vision, Image Classification, Deep Learning

website   linkedin  scholar_g

 

 

PhD Students


ali

Ali Almadan

website  linkedin  scholar_g

Research interests: Computer Vision, Biometrics, On-device AI, Deep Learning

anoop

Anoop Krishnan

website  linkedin  scholar_g

Research interests: Computer Vision, Biometrics, Bias AI

 

aakash

Aakash Varma Nadimpalli

website  linkedin  scholar_g

Research interests: Computer Vision, Biometrics, GANs, Adversarial Attacks


sreeraj

Sreeraj Ramachandran 

website  linkedin  scholar_g

Research interests: Computer Vision, Biometrics, GANs, Adversarial Attacks

smitha

Smitha Haridasan

linkedin 

Research interests: Computer Vision, Deep learning, Natural Hazard Detection

 

aakash

Vinaya Sree Katamneni

  linkedin  scholar_g

Research interests: Computer Vision, Biometrics, GANs, Audio & Video Deepfakes

 

parasuram

Parshuram Narayan Aarotale

  linkedin  scholar_g

Research interests: Computer Vision, Medical Vision

 

 

 

M.S. Thesis Student

 

brian

Jayanthi Chandrasekar

Research interests: Computer Vision, Deep Learning

linkedin

 

Deepika Shanmugasundaram

Deepika Shanmugasundaram

Research interests: Computer Vision, Deep Learning

linkedin

 

Past Master Thesis Students
  • Shreyas Dharanesh
    Thesis: "Deep Learning based Mask-aware Face Recognition System", 2021 (link)
  • Brian Neas
    Thesis: "Evaluating Facial Bias at NIR spectrum", 2022 (link)
  • Madhurika Patil
    Thesis: " Computer Vision Methods for Natural Disaster Detection", 2022 (link)

 

M.S. Project Students

Fall 2022

  • Prudhvi Reddy Mali
    Project: Combination of HOG and Deep Features for Deepfake Detection

Spring 2021

  • Surya Prakash Devathi  Jogesh Venkata
    Project: Hand-crafted features for Age-group Classification from Ocular Images
  • Pavan Sai Vasireddy
    Project: Hand-crafted features for gender classification from Facial Images
  • Venkata Siva Naga Naveen Uppalapati
    Project: Hand-crafted features for Gender Classification from Ocular Images
  • Libnah Pratheeth Bollam
    Project: Few-shot learning for ocular recognition
  • Santhosh Jothimani

    Project: Vision Transformer for Ocular based User Recognition

  • Chitra Kumar Sai Chenuri Venkata
    Project: Mask Segmentation from Facial Images in COVID-19 Era

 






Fall 2021

  • Vinduja Vinod
    Project: Driver drowsinesss detection using convolutional neural networks
  • Saideshwar Kota
    Project: Wildfire localization using deep learning

Summer Intern 2022

  • KONISETTY PAVAN TEJA KONISETTY, IIITD&M, Kancheepuram, Chennai
  • Sai Santosh PENTAKOTA, IIITD&M, Kancheepuram, Chennai
  • Manas Sivakumar, IIITD&M, Kancheepuram, Chennai
  • S SRIHARI, IIITD&M, Kancheepuram, Chennai
  • John Michael Sujay Zakkam, IIITD&M, Kancheepuram, Chennai

Summer Intern 2021

  • Arjun Sharma from IIT Kharagpur

    Project: Reject-option based Classification for Mitigation Bias in Gender Classification.

  • Sourav Karmakar from NIT Durgapur
    Project: Deep Learning Models for Deepfake Detection

 

 

 

 

Spring 2020

  • Sai Swathi Bodakunta
    Project: XceptionNet for Deep fake Detection
    Project: Deep Learning for Image Classification
  • Shruti Sambamurthy Ganji
    Project: CNN-based Algorithms for Traffic Signal Classification
  • Sai Praod Guntakam
    Project: Deep Learning to Infer BMI from Facial Images in Social Media
  • Sai Vikas Reddy Moola
    Project: Machine Learning Models for Predicting Obesity in Adults
  • Vamshi Sai Mugala
    Project: CNN for Face Recognition in Smartphones
  • Muhammad Wahaaj Siddiqui
    Project: CNN-based Algorithm for Disease Classification in Retinal Images
  • Shivtej Utekar
    Project: Local Binary Patterns for Disease Classification in Ocular Images




Fall 2020

  • Sai Priya Cheekati
    Project: Fairness of CNN-based Age classifier Across Race and Gender
  • Pradeep Reddy
    Project: Impact of Illumination Normalization on Fairness of Gender Classification Algorithms

  • Vamshi Krishna Athota
    Project: AI-based Techniques to Infer Factors Contributing to Obesity
  • Paulina Castaneda
    Internship: Machine Learning Models for Image Classification and Health Care Applications