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Career

· Researcher / PhD Candidate, UC San Diego2022–
· PhD Student in Computer Science and Engineering, UC San Diego2017–

Publications (30)

Extending Relational Query Processing with ML Inference
Conference on Innovative Data Systems Research · 2019
75
cited
Gendered Conversation in a Social Game-Streaming Platform
International Conference on Web and Social Media · 2016
75
cited
Community Science Exemplars in SEAGrid Science Gateway: Apache Airavata Based Implementation of Advanced Infrastructure
International Conference on Conceptual Structures · 2016
74
cited
Errata for "Cerebro: A Data System for Optimized Deep Learning Model Selection"
Proceedings of the VLDB Endowment · 2021
60
cited
Query Processing on Tensor Computation Runtimes
Proceedings of the VLDB Endowment · 2022
50
cited
Tensors: An abstraction for general data processing
Proceedings of the VLDB Endowment · 2021
35
cited
Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations
SIGMOD Conference · 2019
29
cited
The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study
Medicine & Science in Sports & Exercise · 2021
29
cited
Managing authentication and authorization in distributed science gateway middleware
Future generations computer systems · 2020
27
cited
Incremental and Approximate Computations for Accelerating Deep CNN Inference
ACM Transactions on Database Systems · 2020
25
cited
Apache Airavata Sharing Service: A Tool for Enabling User Collaboration in Science Gateways
Practice and Experience in Advanced Research Computing · 2017
19
cited
Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems
DEEM@SIGMOD · 2019
16
cited
Application of Convolutional Neural Network Algorithms for Advancing Sedentary and Activity Bout Classification.
Journal for the Measurement of Physical Behaviour · 2021
14
cited
Vista: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale
SIGMOD Conference · 2020
14
cited
CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data From Hip-Worn Accelerometers in Adults Aged 35.
Journal for the Measurement of Physical Behaviour · 2022
12
cited
Demonstration of Krypton: Optimized CNN Inference for Occlusion-based Deep CNN Explanations
Proceedings of the VLDB Endowment · 2019
8
cited
CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children
International Journal of Behavioral Nutrition and Physical Activity · 2022
7
cited
Compiling Classical ML Pipelines into Tensor Computations for One-size-fits-all Prediction Serving
2019
7
cited
Query Optimization for Faster Deep CNN Explanations
SIGMOD record · 2020
6
cited
Low movement, deep-learned sitting patterns, and sedentary behavior in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE)
International Journal of Obesity · 2023
5
cited
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Supun Nakandala | Researcher Profile | Sotabase | Sotabase