Master Students

• Chongye Wang - An Enhanced Log-Aware and Scalable Microservices Architecture using Docker, Kafka, and ELK Stack
• Lia Yaghobi - Temporal Analysis and Early Prediction of Soybean Fresh Biomass
• Warren Kaye - TBD
• Fernando Vargas - Injury Prevention and Prediction using Machine Learning
• Christian Vega - Robotic Arm Control Module For Lettuce Cultivation System
• Kian Bonakdar - A Middleman Application for Cross-Platform Data Collection from Smart Wearable Shirt (expected graduation in Fall 2025)
• Rachel Gilyard - Accelerating PointPillars with Background Filtering for Faster Roadside Vehicle Detection and Classification (graduated in Fall 2024)
• Harshit Penta - A Comprehensive Testing Approach using Jest for React Native Mobile Applications (graduated in Fall 2024)
• Sergio Ramirez - An Ensemble Approach for California Wildfire Prediction using Mini Batch and Multiprocessing (graduated in Fall 2024)
• Carl Austin Dimalanta - Boracle: A centralized data platform for human health using smart wearable devices (graduated in Spring 2024)
• Jonathan Cordova - 3D Roadside Vehicle Detection and Classification in Traffic Flow using Complex YOLO (graduated in Spring 2024)
• Jonathan Chua - Building a Cloud Infrastructure Research Platform: Leveraging Ansible and Zabbix for Real-world Testing and Validation of Scheduling Algorithms (graduated in Spring 2024)
• Manpreet Dhindsa - Arrythmia Detection and Classification (graduated in Spring 2024)
• Bakkr Alnaji - Harnessing 'Mesh App and Service Architecture' (MASA) for Achieving User Multiexperience, Business Agility, and Scale: A Comprehensive Study (graduated in Spring 2024)
• Adrian Gonzalez - Thermal and energy modeling of cluster systems (graduated in Spring 2024)
• Tarun Vihar Tumati - SBTCert: A Soulbound Token Certificate Verification System (graduated in Spring 2023)
• Nikhil Vepuri - Performance Analysis of Virtual Machine Monitoring Systems (graduated in Spring 2023)
• Alexander Rose - Real-time Traffic Monitoring System for Intelligent Transportation (graduated in Fall 2023)
• Manoj Nizampatnam - Image Classification for Plant Health Monitoring in Space Farming (graduated in Fall 2023)
• Akul Kumar - Unlocking Athletic Performance Insights Through Smart Clothing (graduated in Fall 2023)
• Sai Pilla Vishnu - Thermal and Energy Prediction for Energy-efficient Data Centers using Machine Learning (graduate on Fall 2022)

Undergraudate Students

• Brandon Ismalej (summer 2024 - present): supported by SfS2 Program, OUR PODER program, and Cal-Bridge program
• Devdutt Prajapati (summer 2025): supported by CSU-LSAMP program
• Josh Penaojas, Henry Locke, Jose Manuel Villalobos Carrillo, Jordan Freedman, Ivan Estrada (summer 2025): supported by SfS2 program
• Jimwell Castillo, Luis Cedeno, Teo Dominguez (summer 2024): supported by SfS2 program
• Matthew Smith (summer 2024): supported by SfS2 and CSU-LSAMP programs
• Christopher Pishaki (fall 2022 - spring 2023): Spring 2023 Edison STEM-NET Student Research Fellowship Award
• Icess Iana Nisce (summer 2022 - spring 2023): Best Poster Award in IEEE GESSC 2022 conference
• Carlos Arturo Morales Sierra (summer 2022): supported by CSU-LSAMP program
• David Macoto Ward (fall 2020 - fall 2021): CSU LSAMP PROUD 2023 Award