Publications

Publications and projects across deployment-aware machine learning, scientific computing, computer vision, and environmental sensing.

2026
Benchmarking AI for low-resource contexts: Thinking beyond leaderboards
Aakash Pant, Kavya Shah, Apoorv Agnihotri, Sneha Nikam, Prasaanth Balraj, and Nakul Jain
arXiv preprint
- Paper
About this paper
A framework for evaluating deployed AI systems in low-resource settings, where noisy inputs, code-switching, intermittent connectivity, constrained hardware, and human oversight matter alongside model quality.
evaluation
low-resource AI
deployment
2024
Noise-Resilient Photonic Analog Neural Networks
Akhil Varri, Frank Brückerhoff-Plückelmann, Jelle Dijkstra, Daniel Wendland, Rasmus Bankwitz, Apoorv Agnihotri, and Wolfram H. P. Pernice
Journal of Lightwave Technology
- Paper
About this paper
A study of noise in photonic neural-network accelerators and the robustness techniques that can make analog photonic inference more dependable under hardware noise and image distortions.
photonic computing
robustness
neural networks
2023
BOLLWM: A Real-World Dataset for Bollworm Pest Monitoring from Cotton Fields in India
Jerome White, Chandan Agrawal, Anmol Ojha, Apoorv Agnihotri, Makkunda Sharma, and Jigar Doshi
PML4DC at ICLR
- Paper
- Dataset
About this paper
An open pest-image dataset gathered over five years through a mobile advisory system used in Indian cotton fields, preserving the scale, noise, and variation of an actual agricultural deployment.
computer vision
agriculture
open dataset
2022
A Case for Rejection in Low Resource ML Deployment
Jerome White, Pulkit Madaan, Nikhil Shenoy, Apoorv Agnihotri, Makkunda Sharma, and Jigar Doshi
NeurIPS workshop
- Paper
- Related code
About this paper
A practical investigation of sample rejection for object-detection systems when training data is limited and seasonal deployment shifts make standard rejection methods difficult to apply.
selective prediction
computer vision
deployment
2020
A Toolkit for Spatial Interpolation and Sensor Placement
S. Deepak Narayanan, Zeel B. Patel, Apoorv Agnihotri, and Nipun Batra
ACM SenSys
About this paper
Polire is an open-source Python toolkit that gathers spatial-interpolation and sensor-placement methods behind a reproducible interface, lowering the entry barrier to fine-grained sensing research.
spatial computing
sensor placement
open source
2020
Active Learning for Air Quality Station Location Recommendation
S. Deepak Narayanan, Apoorv Agnihotri, and Nipun Batra
CoDS-COMAD Young Researchers' Symposium
- Paper
- Code
About this paper
An active-learning approach to choosing new air-quality monitoring locations that improve spatial predictions while accounting for the cost of deploying and maintaining additional stations.
active learning
air quality
sensor placement
2020
Exploring Bayesian Optimization
Apoorv Agnihotri and Nipun Batra
Distill
- Paper
- Code
About this paper
An interactive introduction to Gaussian-process surrogates and acquisition functions, showing how sequential decisions can optimize expensive black-box systems more efficiently than exhaustive search.
Bayesian optimization
interactive explanation
machine learning

Publications

Benchmarking AI for low-resource contexts: Thinking beyond leaderboards

Noise-Resilient Photonic Analog Neural Networks

BOLLWM: A Real-World Dataset for Bollworm Pest Monitoring from Cotton Fields in India

A Case for Rejection in Low Resource ML Deployment

A Toolkit for Spatial Interpolation and Sensor Placement

Active Learning for Air Quality Station Location Recommendation

Exploring Bayesian Optimization