Amit Kumar

 He is a PhD student in CSE with a strong interest in machine learning. My current research focuses on the analysis of histopathology images using advanced deep learning techniques.

amit [dot] 23csz0012 [at] iitrpr [dot] ac [dot] in

Ankita Rani

An INSPIRE fellow dedicated to advancing gene expression research leveraging AI and deep learning approaches.

ankita [dot] 24bmz0007 [at] iitrpr [dot] ac [dot] in

Maninder K.

She is currently working on computer vision and deep learning for biomedical imaging, with a focus on spatial transcriptomics and histopathology images

maninder [dot] 23csz0015 [at] iitrpr [dot] ac [dot] in 

Nischala Thakur

She works on active learning for medical image analysis, aiming to reduce annotation costs by designing multi-strategy query methods that smartly select which images to label across tasks like diabetic retinopathy, pneumonia detection, and skin lesion segmentation. 

  nishchala [dot] 24csz0005 [at] iitrpr [dot] ac [dot] in

Srija Mondal

She is currently working on cancer detection with a focus on D-DISH image analysis for automated HER2 signal detection with prior experience in ECG based sleep apnea analysis and stroke detection using DL models.

 srija [dot] 25aiz0003 [at] iitrpr [dot] ac [dot] in

Vanjuli Sharma

Passionate about deep learning and intelligent systems, with research focused on developing reliable and trustworthy AI solutions for healthcare and real-world applications. 

staff [dot] vanjuli [at] iitrpr [dot] ac [dot] in

Ved Prakash Nautiyal

    Reimagining possibilities at the intersection of AI, Health, and Sustainability. He is currently working on Cancer Risk Stratification by automating FISH image analysis pipelines.

staff [dot] vedprakash [dot] nautiyal [at] iitrpr [dot] ac [dot] in

Avinash Padidadakala

Pre-doctoral Fellow contributing to research at the intersection of Artificial Intelligence, Deep Learning and medical Image analysis for next-generation healthcare systems.

   avinash42037 [at] gmail [dot] com

Iris Thomas

Pursuing research on medical image analysis for supporting clinical decisions and has prior experience in genomic data science and clinical variant interpretation.

 2025bmm1007 [at] iitrpr [dot] ac [dot] in 

Pranav Vada

Pre-Doctoral Researcher, exploring AI-driven technologies that bridge intelligent medical imaging and the future of precision healthcare.

  pranavvada [dot] csrs [at] gmail [dot] com

Pratik C.

Pre-doctoral Fellow exploring AI for better healthcare through medical imaging and deep learning.

  pratikchougle4 [at] gmail [dot] com

Devansh Arora

He is pursuing research at the intersection of machine learning and scientific applications, exploring how deep learning and data-driven modeling can be leveraged to solve challenging problems across diverse domains.

2023eeb1196 [at] iitrpr [dot] ac [dot] in 

Nitin Kumar

I'm working on image segmentation, CBC based hematology malignancy diagnosis and deepfakes in healthcare. I am also interested in working on frontier AI models' development and safety research

2023csb1141 [at] iitrpr [dot] ac [dot] in