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Professor Indu Joshi

INSPIRING THE FUTURE

Inspiring the Future through Computer Engineering

Professor Indu Joshi

About Prof. Indu Joshi

As an Assistant Professor within the School of Computing & Electrical Engineering (SCEE) at IIT Mandi, I am actively engaged in pioneering research at the MANAS lab. My expertise lies in the application of deep learning methodologies across various domains including biometrics, medical image analysis, and computational biology.

My academic journey includes enriching postdoctoral experiences at renowned institutions such as the Technical University of Munich, Germany, under the guidance of Prof. Nassir Navab, and at Inria Sophia Antipolis, France, collaborating with Dr. Antitza Dantcheva.

Prior to this, I completed my doctoral studies at IIT Delhi under the supervision of Prof. Sumantra Dutta Roy & Prof. Prem Kumar Kalra.

For aspiring scholars seeking to embark on a research journey, I welcome motivated individuals to explore opportunities to join our team as Ph.D. candidates. Alternatively, if you are interested in contributing to our research endeavors in other capacities, please feel free to reach out to me via email with your CV.

Research Interests

BiometricsBayesian Deep LearningDomain AdaptationGenerative ModelsContinual LearningAttention ModelsMedical Image Processing

RESEARCH & PUBLICATIONS

BIOMETRICS

Synthetic Data in Human Analysis and Machine

2024Read
BIOMETRICS

Context-aware Restoration of Fingerprints with Noisy Inputs

2022Read
GENERATIVE AI

Latent Fingerprint Enhancement using Generative Adversarial Networks

2019Read
DENOISING

Unsupervised Domain Alignment of Fingerprint Denoising Models

2023Read
  • Deep Learning for Fingerprint Recognition: A Survey2024
  • Bayesian Uncertainty Estimation in Biometric Systems2024
  • Domain Adaptation for Cross-Spectral Face Recognition2023
  • Generative Models for Medical Image Synthesis2023
  • Attention-Based Fingerprint Quality Assessment2022
  • Continual Learning in Biometric Verification2022
  • GAN-Based Fingerprint Enhancement for Poor Quality Inputs2021
  • Multi-Task Learning for Face and Fingerprint Analysis2021
  • Self-Supervised Learning for Biometric Feature Extraction2020
  • Deep Generative Models for Privacy-Preserving Biometrics2020
  • Fingerprint Liveness Detection Using CNNs2019
  • Cross-Database Face Recognition via Domain Adaptation2018

DISTINGUISHED AWARDS

INAE Inventive Project Award, 2022

INAE Inventive Project Award of image processing and biometrics research.

DAAD Postdoc-Net-AI Fellow, April 2021

Selected as DAAD Postdoc-Net-AI Fellow for research in artificial intelligence.

BRICS Young Scientist Conclave, 2020

Represented India in the field of Artificial Intelligence at the BRICS Young Scientist Conclave.

  • Best Paper Award at ICB 20242024
  • Outstanding Reviewer - IEEE TIFS2023
  • INAE Young Engineer Award Nomination2022
  • DAAD Research Grant for International Collaboration2021
  • BRICS Young Scientist Fellowship2020
  • IIT Mandi Research Excellence Award2019
  • Best Presentation Award at NCPR 20182018
  • DST INSPIRE Fellowship2017

News & Media Appearances

Ethics in AI: A Global Conversation
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Seminar Highlight: AI in Forensics organized with Punjab University
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Get in Touch

Office

Room No. 27, 3rd Floor A17 Academic Building SCEE, North Campus IIT Mandi, Himachal Pradesh, India 175005