Sumona Mukhopadhyay

Assistant Professor, CSSE, California Polytechnic State University, San Luis Obispo

Joined

July 2024

Names

Sumona Mukhopadhyay (Preferred)

Emails

****@calpoly.edu (Confirmed)

Personal Links

Career & Education History

Assistant Professor

CSSE, California Polytechnic State University, San Luis Obispo (calpoly.edu)

2022 – Present

Advisors, Relations & Conflicts

PhD Advisor

Henry Leung

Present

Postdoc Advisor

Marin Litoiu

Present

Expertise

estimation

Present

applied machine learning

Present

chaos theory

Present

cnn

Present

encryption decryption

Present

Publications

LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
Shaikh Quader, Andres Jaramillo, Sumona Mukhopadhyay, Ghadeer Abuoda, Calisto Zuzarte, David Kalmuk, Marin Litoiu, Manos Papagelis
- EDBT 2026
- Readers: Everyone
Balancing Privacy and Accuracy in IoT Using Domain-Specific Features for Time Series Classification
Pranshul Lakhanpal, Asmita Sharma, Joydeep Mukherjee, Marin Litoiu, Sumona Mukhopadhyay
- TPS-ISA 2023
- Readers: Everyone
MMF-DRL: Multimodal Fusion-Deep Reinforcement Learning Approach with Domain-Specific Features for Classifying Time Series Data
Asmita Sharma, Pranshul Lakhanpal, Marin Litoiu, Lauren E. Sergio, Sumona Mukhopadhyay
- CASCON 2023
- Readers: Everyone
Detecting Software Anomalies Using Spectrograms and Convolutional Neural Network
Joydeep Mukherjee, Sumona Mukhopadhyay, Marin Litoiu
- CASCON 2023
- Readers: Everyone
Towards a Differential Privacy Machine Learning Edge-Cloud Architecture - An Experimental Study
Payal Goyal, Mark Shtern, Sumona Mukhopadhyay, Marin Litoiu
- CASCON 2022
- Readers: Everyone
Blind Identification of Sparse Systems Using Symbolic Dynamics Encoding
Sumona Mukhopadhyay, Henry Leung
- IEEE Communications Letters
- Readers: Everyone
Blind System Identification in Noise Using a Dynamic-Based Estimator
Sumona Mukhopadhyay, Boyuan Li, Henry Leung
- IEEE Access
- Readers: Everyone

View all 20 publications

Sumona Mukhopadhyay

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates

Balancing Privacy and Accuracy in IoT Using Domain-Specific Features for Time Series Classification

MMF-DRL: Multimodal Fusion-Deep Reinforcement Learning Approach with Domain-Specific Features for Classifying Time Series Data

Detecting Software Anomalies Using Spectrograms and Convolutional Neural Network

Towards a Differential Privacy Machine Learning Edge-Cloud Architecture - An Experimental Study

Blind Identification of Sparse Systems Using Symbolic Dynamics Encoding

Blind System Identification in Noise Using a Dynamic-Based Estimator

Co-Authors