Somali Chaterji

Orcid: 0000-0002-3651-6362

According to our database1, Somali Chaterji authored at least 51 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Virtuoso: Energy- and Latency-aware Streamlining of Streaming Videos on Systems-on-Chips.
ACM Trans. Design Autom. Electr. Syst., 2023

How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

FLAIR: Defense against Model Poisoning Attack in Federated Learning.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
ApproxNet: Content and Contention-Aware Video Object Classification System for Embedded Clients.
ACM Trans. Sens. Networks, 2022

WISEFUSE: Workload Characterization and DAG Transformation for Serverless Workflows.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Lerna: transformer architectures for configuring error correction tools for short- and long-read genome sequencing.
BMC Bioinform., 2022

ORION and the Three Rights: Sizing, Bundling, and Prewarming for Serverless DAGs.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

KRATOS: Context-Aware Cell Type Classification and Interpretation using Joint Dimensionality Reduction and Clustering.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

LiteReconfig: cost and content aware reconfiguration of video object detection systems for mobile GPUs.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Smartadapt: Multi-branch Object Detection Framework for Videos on Mobiles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Lattice: A Vision for Machine Learning, Data Engineering, and Policy Considerations for Digital Agriculture at Scale.
IEEE Open J. Comput. Soc., 2021

Hybrid Low-Power Wide-Area Mesh Network for IoT Applications.
IEEE Internet Things J., 2021

Virtuoso: Video-based Intelligence for real-time tuning on SOCs.
CoRR, 2021

ORPHEUS: Living Labs for End-to-End Data Infrastructures for Digital Agriculture.
CoRR, 2021

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks.
CoRR, 2021

Federated Action Recognition on Heterogeneous Embedded Devices.
CoRR, 2021

Ambrosia: Reduction in Data Transfer from Sensor to Server for Increased Lifetime of IoT Sensor Nodes.
CoRR, 2021

Simultaneous learning of individual microRNA-gene interactions and regulatory comodules.
BMC Bioinform., 2021

SONIC: Application-aware Data Passing for Chained Serverless Applications.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Benchmarking Video Object Detection Systems on Embedded Devices under Resource Contention.
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021

Persistent Airborne Surveillance using Semi-Autonomous Drone swarms.
Proceedings of the DroNet@MobiSys '21: Proceedings of the 7th Workshop on Micro Aerial Vehicle Networks, 2021

2020
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures.
IEEE Open J. Comput. Soc., 2020

Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges.
CoRR, 2020

Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap.
CoRR, 2020

OPTIMUSCLOUD: Heterogeneous Configuration Optimization for Distributed Databases in the Cloud.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

ApproxDet: content and contention-aware approximate object detection for mobiles.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures.
CoRR, 2019

AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU.
BMC Bioinform., 2019

MG-RAST version 4 - lessons learned from a decade of low-budget ultra-high-throughput metagenome analysis.
Briefings Bioinform., 2019

Federation in genomics pipelines: techniques and challenges.
Briefings Bioinform., 2019

SOPHIA: Online Reconfiguration of Clustered NoSQL Databases for Time-Varying Workloads.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Panel 3 Position Paper: Blockchain can be the Backbone of India's Economy.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

Panel 2 Position Paper: AI could Solve the World's Healthcare Problems and that too at Scale!
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

Panel 1 Position Paper: Man versus Machines-Humans Need Not Apply.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

2018
A Distributed Classifier for MicroRNA Target Prediction with Validation Through TCGA Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models.
CoRR, 2018

Minerva: A reinforcement learning-based technique for optimal scheduling and bottleneck detection in distributed factory operations.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

2017
MAAT: Multi-Stage Attack Attribution in Enterprise Systems using Software Defined Networks.
EAI Endorsed Trans. Security Safety, 2017

TopHat : Topology-Based Host-Level Attribution for Multi-stage Attacks in Enterprise Systems Using Software Defined Networks.
Proceedings of the Security and Privacy in Communication Networks, 2017

Rafiki: a middleware for parameter tuning of NoSQL datastores for dynamic metagenomics workloads.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017

Suitability of NoSQL systems - Cassandra and ScyllaDB - For IoT workloads.
Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

Prediction of enhancer RNA activity levels from ChIP-seq-derived histone modification combinatorial codes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Scalable Genomic Assembly through Parallel <i>de Bruijn</i> Graph Construction for Multiple K-mers.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
The MG-RAST metagenomics database and portal in 2015.
Nucleic Acids Res., 2016

Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions.
BMC Syst. Biol., 2016

SARVAVID: A Domain Specific Language for Developing Scalable Computational Genomics Applications.
Proceedings of the 2016 International Conference on Supercomputing, 2016

Fast training on large genomics data using distributed Support Vector Machines.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
Interpretable deep neural networks for enhancer prediction.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

An ensemble SVM model for the accurate prediction of non-canonical MicroRNA targets.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization.
Proceedings of the International Conference for High Performance Computing, 2014


  Loading...