Talks and Service — Naren Akash

Academic Talks

2023 Monsoon: CS7.404 Digital Image Processing with Anoop Namboodiri
- Viewing Organs from Outside the Body 01: Imaging Physics, Radon Transform, Parallel Beam Projections
- Viewing Organs from Outside the Body 02: Image Reconstruction from Parallel and Fan Beam Projections
2023 Spring: CS5.505 (Graduate) Computer Vision
- The Secrets of Optical Flow: Classical Approaches and Basic Deep Learning Methods
2022 Spring: CS5.505 (Graduate) Computer Vision with Anoop Namboodiri and Sudipta Banerjee
- Object Detection in Deep Learning: R-CNN, YOLO and DETR Architectures and their Variants

2023: Bayes, Eigen and Beyond: Foundational Mathematics for ML at Robotics Summer School, IIIT Hyderabad
2022: Neural Networks Learn Conditional Probability Densities at Machine Learning Reading Group, IIIT Hyderabad
2022: Differential Privacy: We Need to Go “Deeper”! at Fairness, Privacy and Ethics Reading Group, IIIT Hyderabad
2021: Computer Vision Inspired Learning on Protein Surfaces at Machine Learning Reading Group, IIIT Hyderabad
2021: Optimization Methods for ML: Theory and Practice at CVIT Deep Learning Summer School, IIIT Hyderabad

Teaching Experience

2023 Spring: EC5.405 Medical Image Analysis with Jayanthi Sivaswamy at IIIT Hyderabad
2022 Spring: CS5.505 (Graduate) Computer Vision with Anoop Namboodiri and Sudipta Banerjee at IIIT Hyderabad
2021 Monsoon: CS3.306 Algorithms and Operating Systems with Lini Theresa Thomas at IIIT Hyderabad

2024: UG Minor Program on Specialization in Machine Learning with iHub-Data, IIIT Hyderabad
2023: PG Certification on Deep Learning Foundations and Applications with TalentSprint and IISc Bengaluru
2023: Foundations of Modern Machine Learning with iHub-Data, IIIT Hyderabad
2022: Foundations of Modern Machine Learning with iHub-Data, IIIT Hyderabad

Professional Service

2025 – 2026: General and Program Chair, MICCAI Doctoral Symposium
2024, 2026: General and Program Chair, MICCAI EMERGE Workshop
2024: General and Program Chair, MICCAI PhD Thesis Madness
2024 – Present: Member, MICCAI Society (Travel and Registration) Awards Committee
2024 – Present: Reviewer, IEEE Transactions on Medical Imaging, MICCAI 2024, ICLR 2025, ISBI 2025, MICCAI 2025
2023 – Present: Member, MICCAI Board Career Advancement Working Group

Research Supervision and Mentoring

Interns: Harshavardhan Pandurangan, Md Faizal Karim, Prakhar Singhal, Vidhi Rathore, Shailender Goyal, Siddharth Mangipudi

Masters: Anirudh Kaushik (next: Microsoft), Arihanth Srikar (next: Adobe Research), Samruddhi Shastri (next: Google)
Undergraduates: Soham Vaishnav, Rudransh Agarwal (next: Databricks), Shreyas Palley, Lokesh Gautham (next: New York University)

Leadership and Volunteering