To browse Master's Projects by academic department or program, please go to the College, School or Department page.
Master's Projects from 2021
Data Augmentation with Malware as Images, Aditi Walia
Cyberbullying Classification based on Social Network Analysis, Anqi Wang
Privacy Preserving for Multiple Computer Vision Tasks, Amala Varghese Wilson
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS), Xinxin Yang
Spaceflight and the Differential Gene Expression of Human Stem Cell-Derived Cardiomyocytes, Eugenie Zhu
Master's Projects from 2020
E-Procurement Challenges & Supplier Enablement in California Counties, Juan-Carlos Aguila
Pattern Analysis and Prediction of Mild Cognitive Impairment Using the Conn Toolbox, Meenakshi Anbukkarasu
Rehearsal Scheduling Problem, Thuan Bao
Educating Children and Youth Experiencing Homelessness by Funding Local Implementation: Compliance for Positive Student Outcomes under the McKinney-Vento Homeless Assistance Act, Darius Jamal Brown
Word Embedding Techniques for Malware Classification, Aniket Chandak
Credit for Prior Learning among Student Veterans across Selected Campuses of University of California and California State University: A Managerial Audit, Janani Chandrasekar
Evidence-Based Detection of Pancreatic Canc, Rajeshwari Deepak Chandratre
Higher-order Link Prediction Using Graph Embeddings, Neeraj Chavan
Student Health Services on Community College Campuses in California, Travis Cheng
Improved User News Feed Customization for an Open Source Search Engine, Timothy Chow
Equity-Based Resource and Service Allocation for the City of San José’s Department of Parks, Recreation and Neighborhood Services, Patrick Córdova
Malware Classification Using LSTMs, Dennis Dang
Cost Effectiveness and Hospitalization Rates of Those with Mental Health Issues Using On-Site versus Off-Site Job Coaching, Jerry Dattilo
Understanding Impact of Twitter Feed on Bitcoin Price and Trading Patterns, Ashrit Deebadi
Housing Market Crash Prediction Using Machine Learning and Historical Data, Parnika De
Load Balancing in Cloud Computing, Snehal Dhumal
A NEAT Approach to Malware Classification, Jason Do
The Use of Evidential Reasoning Model with Biomarkers in Pancreatic Cancer Prediction, Qianhui Fan
Visualization of Large Networks Using Recursive Community Detection, Xinyuan Fan
California’s Proposition 47: The Safe Neighborhoods and Schools Act, Edith Garcia Fong
Comparison of Word2vec with Hash2vec for Machine Translation, Neha Gaikwad
Pupil Transportation Alternatives: an Analysis of Alternative Pupil Transportation Models, Jarrett Garife
Diminishing and Preventing Homelessness: A Managerial Audit of Santa Clara County Nonprofit Organizations Addressing Homelessness, Sergio J. Gonzalez
USING MACHINE LEARNING TO OPTIMIZE PREDICTIVE MODELS USED FOR BIG DATA ANALYTICS IN VARIOUS SPORTS EVENTS, Akhil Kumar Gour
FindFur: A Tool for Predicting Furin Cleavage Sites of Viral Envelope Substrates, Christine Gu
END-TO-END LEARNING UTILIZING TEMPORAL INFORMATION FOR VISION- BASED AUTONOMOUS DRIVING, Dapeng Guo
Cat Tracks – Tracking Wildlife through Crowdsourcing using Firebase, Tracy Ho
Computational Astronomy: Classification of Celestial Spectra Using Machine Learning Techniques, Gayatri Milind Hungund
Sentiment Analysis for Troll Activity Detection on Sina Weibo, Zidong Jiang
Detection of Mild Cognitive Impairment using Diffusion Compartment Imaging, Matthew Jones
Malware Classification Based on Hidden Markov Model and Word2Vec Features, Aparna Sunil Kale
Yoga Pose Classification Using Deep Learning, Shruti Kothari
Probabilistic and Machine Learning Enhancement to CONN Toolbox, Gayathri Hanuma Ravali Kuppachi
Façade Improvement Programs in the San Francisco Bay Area, Liz Lange
Purchasing for a Better Future: Sustainable Procurement in the County of Santa Clara, Mariah Teal Lindberg
An AI for a Modification of Dou Di Zhu, Xuesong Luo
Predicting Students’ Performance by Learning Analytics, Sandeep Subhash Madnaik
USING DEEP LEARNING AND LINGUISTIC ANALYSIS TO PREDICT FAKE NEWS WITHIN TEXT, John Nguyen
VIRTUAL ROBOT LOCOMOTION ON VARIABLE TERRAIN WITH ADVERSARIAL REINFORCEMENT LEARNING, Phong Nguyen
What Factors Influence the Success of Soft Story Retrofit Programs? The Example of San Francisco’s Program, Thanh Thuy Nguyen
Benchmarking MongoDB multi-document transactions in a sharded cluster, Tushar Panpaliya
Implementing TontineCoin, Prashant Pardeshi
Multi-Agent Deep Reinforcement Learning for Walkers, Inhee Park
Land Registry on Blockchain, Mugdha Patil
Detection and Analysis of Malware Evolution, Sunhera Barunkumar Paul
LiDAR Object Detection Utilizing Existing CNNs for Smart Cities, Vinay Ponnaganti
Quantifying DeepFake Detection Accuracy for a Variety of Natural Settings, Pratikkumar Prajapati
Getting to Zero: An Evaluation of Santa Clara County’s HIV Prevention Program in Comparison to Selected Counties, Nupur Rathore
Program Evaluation of Affordable Housing Projects for Educators: Pathways to Success, Giulia C. Seminatore
AI Quantification of Language Puzzle to Language Learning Generalization, Harita Shroff
Veteran Service Organizations’ Declining Membership and How to Fix It, Ben Sok
REAL-TIME AD CLICK FRAUD DETECTION, Apoorva Srivastava
Improved Chinese Language Processing for an Open Source Search Engine, Xianghong Sun
Developing a MongoDB Monitoring System using NoSQL Databases for Monitored Data Management, Anjitha Karattu Thodi
Detecting DeepFakes with Deep Learning, Eric C. Tjon
Bioinformatics Metadata Extraction for Machine Learning Analysis, Zachary Tom
Using Color Thresholding and Contouring to Understand Coral Reef Biodiversity, Scott Vuong Tran
Network Traffic Based Botnet Detection Using Machine Learning, Anand Ravindra Vishwakarma
Combating the Silver Tsunami: How Can Santa Clara County Local Agencies Develop the Next Generation of Leaders?, Nadia Webster
Ensuring Resilience: Efforts to Retrofit Soft-Story Housing in California, Griffin Weizer
Sustainable Cannabis Policy in California: Addressing the Legal Cannabis Industry’s Carbon Footprint, Genevieve Yip
Video Synthesis from the StyleGAN Latent Space, Lei Zhang
Malware Classification with Gaussian Mixture Model-Hidden Markov Models, Jing Zhao
Master's Projects from 2019
Predictive Analysis for Cloud Infrastructure Metrics, Paridhi Agrawal
MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS, Revanth Akella
A Process Evaluation of the Campbell Union High School District Bond Measure AA, Gabriel Altamirano
Assessing Wildfire Damage from High Resolution Satellite Imagery Using Classification Algorithms, Ai-Linh Alten
Sensor - Based Human Activity Recognition Using Smartphones, Mustafa Badshah
An Empirical Comparison of Different Machine, Piyush Bajaj
Multifamily Malware Models, Samanvitha Basole
Designing single guide RNAs for CRISPR/Cas9, Neha Atul Bhagwat
Detection of Hate Speech in Videos Using Machine Learning, Unnathi Bhandary
Using Computer Vision to Quantify Coral Reef Biodiversity, Niket Bhodia
Hot Fusion vs Cold Fusion for Malware Detection, Snehal Bichkar
An Evaluation of California’s Continuously Appropriated Programs Funded through Cap-and-Trade, Domingo Candelas
Deep Learning Based Real Time Devanagari Character Recognition, Aseem Chhabra
Memos and Mega Projects: Applying Planners’ Perceptions of Their Software to a Framework for the Future of Planning, Richard L. Davis
Image Compression Using Neural Networks, Kunal Rajan Deshmukh
Detecting CRISPR Arrays Using Long-Short Term Memory Network, Shantanu Deshmukh
An Industry Driven Genre Classification Application using Natural Language Processing, Sharan Duggirala
3D Shape Prediction on Convolutional Deep Belief Networks, Gregory Y. Enriquez
CONTRACT BUILDER ETHEREUM APPLICATION, Colin M. Fowler
Classification of Humans into Ayurvedic Prakruti Types using Computer Vision, Gayatri Gadre
Chatbots with Personality Using Deep Learning, Susmit Gaikwad
An Outcome Analysis of the Mills Act in Three Exemplar Cities, Sean K. Gallegos
Declassification of Faceted Values in JavaScript, Shreya Gangishetty
Information Extraction from Biomedical Text Using Machine Learning, Deepti Garg