Bachelor of Computer Science and Engineering in , Indian Institute of Technology, Roorkee, 2014.
ARM Research (Summer of 2019): I Worked on developing a hyperparameter tuning library called Mango with state of art realization of parallel exploration and exploitation using Bayesian optimizer. Mango will be released soon for public consumption. Mango is comparable in performance to existing libraries and supports scheduling of workloads on the Kubernetes cluster. Mango is compatible with Sklearn hyperparameters definitions and Scipy distributions.
Teradata Labs (Summer of 2018): I worked on developing deep learning infrastructure to enable neural network training on very large datasets within the distributed database architecture. More details are in the VLDB-19 paper: http://www.vldb.org/pvldb/vol12/p1854-sandha.pdf
IBM Research (Dec 2014 - Sep 2016): I worked as software engineer in IBM Research, New Delhi. I contributed to the research and development of several projects in the areas of mobile computing, distributed computing, and machine learning. I co-authored and presented in several top conferences my works.
Oracle (July 2014 - Dec 2014): I was part of the Oracle database team and contributed to add recovery capabilities to the Oracle SQL database. I have experience with architecture and query executions. I have worked in designing and development of several of the query functionalities which provides enhanced database backup features.
Deep Learning Systems
RadHAR: Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar Akash Deep Singh, Sandeep Singh Sandha, Luis A. Garcia, and Mani B. Srivastava. 3rd ACM Workshop on Millimeter-wave Networks and Sensing Systems (co-located with MobiCom), October 2019. [ Details ]
Exploiting Smartphone Peripherals for Precise Time Synchronization Sandeep Singh Sandha, Joseph Noor, Fatima M. Anwar, and Mani B. Srivastava. International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication, September 2019. [ Details ]
Demo: DDFlow Visualized Declarative Programming over Heliot Testbed Platform Joseph Noor, Sandeep Singh Sandha, Luis A. Garcia, and Mani B. Srivastava. 4th ACM/IEEE Conference on Internet of Things Design and Implementation, April 2019. [ Details ]
Deep Convolutional Bidirectional LSTM based Transportation Mode Recognition Jeya Vikranth Jeyakumar, Eun Sun Lee, Zhengxu Xia, Sandeep Singh Sandha, and Mani B. Srivastava. Proceedings of the 6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA2018), October 2018. [ Details ]
Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition Tianwei Xing, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, and Mani B. Srivastava. 1st International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2018), June 2018. [ Details ]
Data Hub Architecture for Smart Cities Jason Koh, Sandeep Singh Sandha, Bharathan Balaji, Daniel Crawl, Ilkay Altintas, Rajesh K. Gupta, and Mani B. Srivastava. Sensys 2017, November 2017. [ Details ]
"RadHAR: Human Activity Recognition through a Millimeter-wave Radar" mmNets 2019.
"Exploiting Smartphone Peripherals for Precise Time Synchronization" ISPCS 2019.
"In-Database distributed deep learning: Demonstration using Teradata SQL Engine" VLDB 2019.
"Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition" Edge Sys 2018.
"A multi-sensor process for in-situ monitoring of water pollution in rivers or lakes for high-resolution quantitative and qualitative water quality data," 14th IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Aug, 2016.
“The GangaWatch App and BlueWater Platform to Enable Usage of Water Data in India in Every Day Decisions Integrating Historical and Real-time Sensing Data,” Data Flow: Grand Challenges in Water Systems Modeling, Data Management, and Integration, Louisiana State University, Baton Rouge, May, 2016.
"Mobile Health Application for Early Disease Outbreak-Period Detection," 16th IEEE International Conference on E-health Networking, Applications, and Services (Healthcom), Oct, 2014.
"CROWD-PAN-360: Crowdsourcing based Context-aware Panoramic Map Generation for Smartphone Users," IEEE Transactions on Parallel and Distributed Systems (TPDS), July 2014.
IoTDI-2019: Best Demo Award
Summer Undergraduate Research Award (IIT Roorkee-2012)
Serving as president of Computer Science Graduate Student Association (2017 - Present)