Sandeep Singh Sandha

Orcid: 0000-0003-1421-1880

According to our database1, Sandeep Singh Sandha authored at least 31 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
TinyNS: Platform-aware Neurosymbolic Auto Tiny Machine Learning.
ACM Trans. Embed. Comput. Syst., May, 2024

2023
Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

Neural-Kalman GNSS/INS Navigation for Precision Agriculture.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Learning-enabled Cyber-Physical Systems: Challenges and Strategies
PhD thesis, 2022

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Machine Learning for Microcontroller-Class Hardware - A Review.
CoRR, 2022

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows.
Proceedings of the ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, 2022

Excerpt of Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning.
CoRR, 2020

Building an Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and Application to Assess Impact of Large Religious Gatherings.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms.
Proceedings of the Fifth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2020

Mango: A Python Library for Parallel Hyperparameter Tuning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine.
Proc. VLDB Endow., 2019

RadHAR: Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar.
Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems, 2019

DDFLOW visualized declarative programming for heterogeneous IoT networks on Heliot testbed platform: demo abstract.
Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

Exploiting Smartphone Peripherals for Precise Time Synchronization.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition.
Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking, 2018

Deep Convolutional Bidirectional LSTM Based Transportation Mode Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
StreetX: Spatio-Temporal Access Control Model for Data.
CoRR, 2017

Real-time Log Query Interface for large datasets using Apache Spark.
CoRR, 2017

The GangaWatch Mobile App to Enable Usage of Water Data in Every Day Decisions Integrating Historical and Real-time Sensing Data.
CoRR, 2017

Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress.
CoRR, 2017

Data Hub Architecture for Smart Cities.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

2016
An Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and its Application to Understand Impact of Large Religious Gathering.
CoRR, 2016

A Multi-sensor Process for In-Situ Monitoring of Water Pollution in Rivers or Lakes for High-Resolution Quantitative and Qualitative Water Quality Data.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

2015
CROWD-PAN-360: Crowdsourcing Based Context-Aware Panoramic Map Generation for Smartphone Users.
IEEE Trans. Parallel Distributed Syst., 2015

2014
Mobile health application for early disease outbreak-period detection.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014


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