About A3I2

The A3I2 Lab focuses on advancing the frontiers of Artificial Intelligence, Machine Learning, and Computer Vision, with a strong emphasis on solving real-world, high-impact problems. The lab operates at the intersection of theory, methodology, and application, addressing fundamental challenges in how machines perceive, learn, and reason from complex data.

A core strength of A3I2 lies in visual intelligence and image understanding, where we design next-generation approaches for medical imaging, anomaly detection, industrial inspection, and multimodal learning. Our work goes beyond conventional model development by focusing on uncertainty aware, explainable, and robust AI systems, ensuring that solutions are not only accurate but also trustworthy and deployable in critical domains.

Our research addresses the growing challenges of data understanding and intelligent perception, integrating structured and unstructured data with cutting-edge methodologies in deep learning, computer vision, and predictive modeling. A central thrust of the lab lies in visual intelligence and image analysis, with applications spanning biomedical imaging, anomaly detection, remote sensing, and industrial inspection.

At A3I2, we emphasize:

• Methodological innovation grounded in strong theoretical foundations

• Application-driven research that translates into deployable solutions

• Interdisciplinary integration, combining insights from applied mathematics, statistics, machine learning, and computer science

• Responsible and trustworthy AI, including uncertainty awareness, robustness, and interpretability

The lab has contributed to impactful research in areas such as medical image analysis, anomaly segmentation, confidence-aware learning, and efficient deep architectures, as reflected in publications in leading venues and journals.

Beyond research, A3I2 fosters a culture of exploration, collaboration, and mentorship, where students and researchers are encouraged to build meaningful technologies, publish high-quality work, and develop independent thinking while addressing societal challenges.

Vision

To build the next generation of intelligent visual systems that not only achieve high performance but also exhibit robust, responsible, reliable, and self-aware AI in complex, and real-world environments.

Mission

To advance Artificial Intelligence and Computer Vision beyond accuracy-centric approaches by designing robust, reliable, and self-aware systems for real-world deployment. We focus on methodological innovation, interpretable and innovative models, and application-driven research, while promoting responsible AI and cultivating independent, high-impact researchers.

Societal Impact

A3I2 is driven by the belief that AI must be useful, reliable, and aligned with human values. Our research contributes to:

1. Healthcare Transformation:  AI-driven analysis of medical images for early diagnosis, risk assessment, and clinical decision support, improving accessibility and efficiency in healthcare systems.

2. Trustworthy AI in Critical Systems:  Developing AI that is aware of its confidence and limitations, reducing risks in safety-critical applications such as healthcare, surveillance, and autonomous systems.

3. Environmental and Disaster Intelligence:  Leveraging computer vision for flood mapping, environmental monitoring, and resource management, supporting sustainable and timely interventions.

4. Democratizing AI:  Creating efficient and scalable solutions that can be deployed beyond high-resource settings, making advanced AI accessible across diverse regions and applications.

5. Human-Centered AI: Designing systems that augment human intelligence, ensuring that AI remains a tool for empowerment, not replacement, guided by ethical and responsible principles.

• Tanushree got SERB- SCIENCE & ENGINEERING RESEARCH BOARD Travel Grant Award for the paper accepted in 2024 IEEE International Symposium on Biomedical Imaging (21st IEEE ISBI), Athens, Greece on May 27 – 30, 2024.  (posted- April 16, 2024)

• One paper got accepted in CVPR (posted- April 16, 2024)

• One paper got accepted in PReMI 2023 to be held at ISI Kolkata from Dec, 2023 (posted- Sept 01, 2023)

• Two papers got accepted in ICCVw 2023 to held at Paris, France from Oct 8-12, 2023 (posted- August 08, 2023)

• Tanushree represent Jio Institute CVMI group  at 24th IEEE IRI at Seattle, USA Aug 06, 2023 (posted- Aug 07, 2023)

• Two paper got accepted in MICCAI 2023 to held at Vancouver, Canada from Oct 8-12, 2023 (posted- June 24, 2023)

• Three papers from team CVMI have been accepted at IEEE IRI 2023 to be held at the University of Washington, Bothell, USA (posted- June 23, 2023)

• The paper “Bone Fracture Detection Using Deep Supervised Learning from Radiological Images: A Paradigm Shift” is selected as a cover page of Diagnostics, MDPI, October 17, 2022.

• Congratulations Tanushree,  her paper accepted in Diagnostics- MDPI (posted- Oct 06, 2022)

• Congratulations to Anwesh, Tanushree and Bala on the acceptance of paper for oral presentation at the  17th International Symposium on Visual Computing (ISVC’22), San Diego, CA (posted- August 24, 2022)

• Dr. Roy received Outstanding Associate Editor honor of 2021 from IEEE Access , April 2021 (posted- April 29, 2022)

• A3I2 lab is  actively looking for Postdocs/ Research assistants/associate/ Project Intern in Computer Science, Machine Learning, Computer Vision and Medical Imaging related areas at Jio Institute, India (posted- April 29, 2022- Closed)

• Dr. Roy has been invited to join as an Editorial Board Member in Computational and Mathematical Methods in Medicine, and  Mathematical Problems in Engineering, Hindawi. (posted- April -21, 2022) 

• One of our article received 2021 Alavi-Mandell Publication Awards for Articles Published in 2020 – J Nucl Med 2020; 61:842–849,  By 2021 SNMMI and SNMMI-TS, USA (posted- Jan-27, 2022) 

• Dr. Roy received INR 7,00,00,000/- research fund as PI from Jio Institute, India (posted- Dec-03, 2021) 

• Dr. Roy received Outstanding Associate Editor honor of 2020 for IEEE Access , April 2021 (posted- July-01, 2021)

We are  actively looking for Postdocs/ Research Assistant/ Research Associate in Computer Science, Machine Learning, Computer Vision and Medical Imaging related areas at Jio Institute, India ,  for more details visit this page.