SJSU faculty and students produce AI research that pushes their fields forward, and King Library's SJSU ScholarWorks helps make sure that research is shared with readers around globe. SJSU's Office of Research has identified emerging technology, including artificial intelligence and machine learning, as an area of research strength at SJSU.
AI @ SJSUSubmissions from 2020
Using Deep Learning to Solve Google reCAPTCHA v2's Image Challenges, Dylan Wang, Melody Moh, and Teng Sheng Moh
TCAD-Machine learning framework for device variation and operating temperature analysis with experimental demonstration, Hiu Yung Wong, Ming Xiao, Boyan Wang, Yan Ka Chiu, Xiaodong Yan, Jiahui Ma, Kohei Sasaki, Han Wang, and Yuhao Zhang
Theses/Dissertations from 2019
Smart Scheduler Design for Wafer Processing Systems, Deeksha Prakash Kankalale
Non-invasive Hyperglycemia Detection using ECG and Deep Learning, Renato Silveira Cordeiro
Predicting Switch-like Behavior in Proteins using Logistic Regression on Sequence-based Descriptors, Benjamin Nathan Strauss
Hot Fusion vs Cold Fusion for Malware Detection, Snehal Bichkar
Image-Based Malware Classification with Convolutional Neural Networks and Extreme Learning Machines, Mugdha Jain
DETECTING MYOCARDIAL INFARCTIONS USING MACHINE LEARNING METHODS, Aniruddh Mathur
Assessing Wildfire Damage from High Resolution Satellite Imagery Using Classification Algorithms, Ai-Linh Alten
Information Extraction from Biomedical Text Using Machine Learning, Deepti Garg
Toward Early Detection Of Pancreatic Cancer: An Evidence-Based Approach, Omid Sharagi
Image-Based Localization of User-Interfaces, Riti Gupta
3D Shape Prediction on Convolutional Deep Belief Networks, Gregory Y. Enriquez
Music Retrieval System Using Query-by-Humming, Parth Patel
A Hybrid Approach for Multi-document Text Summarization, Rashmi Varma
Automated Measurement of Heavy Equipment Greenhouse Gas Emission: The case of Road/Bridge Construction and Maintenance, Reza Akhavian
The Development of Machine Learning Infused Outpatient Prognostic Models for tackling Impacts of Climate Change and ensuring Delivery of Effective Population Health Services, Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Sharat Kedari, and Rajasekar Vuppalapati
Automatic Modulation Classification at the Wireless Physical Layer Using Deep Learning and Induced Class Hierarchies, Toluwanimi Oreoluwa Odemuyiwa
Effect of Neighborhood Approximation on Downstream Analytics, Saranya Soundar Rajan
TCAD Augmented Machine Learning for Semiconductor Device Failure Troubleshooting and Reverse Engineering, Y. S. Bankapalli and H. Y. Wong
An Analysis of Android Adware, Supraja Suresh, Fabio Di Troia, Katerina Potika, and Mark Stamp
Evaluating machine learning performance in predicting injury severity in agribusiness industries, Fatemeh Davoudi Kakhki, Steven Freeman, and Gretchen Mosher
Human-AI symbiosis: Decode climate change to prevent heat-related mortalities and to protect our most vulnerable population, Anitha Ilapakurti, Sharat Kedari, Rajasekar Vuppalapati, Santosh Kedari, Jaya Shankar Vuppalapati, and Chandrasekar Vuppalapati
Emotional health: A data driven approach to understand our emotions and improve our health, Chandrasekar Vuppalapati, Sharat Kedari, Anitha Ilapakurti, Santosh Kedari, and Jaya Shankar
PREDICTING SWITCH-LIKE BEHAVIOR IN PROTEINS USING LOGISTIC REGRESSION ON SEQUENCE-BASED DESCRIPTORS, Benjamin Strauss
Machine learning in electronic-quantum-matter imaging experiments, Yi Zhang, A. Mesaros, K. Fujita, S. Edkins, M. Hamidian, K. Ch’ng, H. Eisaki, S. Uchida, J. Séamus Davis, Ehsan Khatami, and Eun-Ah Kim
MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS, Revanth Akella
Designing single guide RNAs for CRISPR/Cas9, Neha Atul Bhagwat
Detecting CRISPR Arrays Using Long-Short Term Memory Network, Shantanu Deshmukh
An Industry Driven Genre Classification Application using Natural Language Processing, Sharan Duggirala
Context-based Multi-stage Offline Handwritten Mathematical Symbol Recognition using Deep Learning, Sui Kun Guan
MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE, Ravali Koppaka
Learning for Free – Object Detectors Trained on Synthetic Data, Charles Thane MacKay
Fast High Resolution Image Completion, Chinmay Mishra
SQL Injection Detection Using Machine Learning, Sonali Mishra
Using Computer Vision to Quantify Coral Reef Biodiversity, Niket Bhodia
Deep Learning Based Real Time Devanagari Character Recognition, Aseem Chhabra
Classification of Humans into Ayurvedic Prakruti Types using Computer Vision, Gayatri Gadre
TSAR : A System for Defending Hate Speech Detection Models Against Adversaries, Brian Tuan Khieu
Learning To Play The Trading Game, Neeraj Kulkarni
GloVeNoR - Global Vectors for Node Representations, Shishir Kulkarni
YODA – Your Only Design Assistant, Siddharth Kulkarni
Robust Lightweight Object Detection, Siddharth Kumar
Improving Steering Ability of an Autopilot in a Fully Autonomous Car, Shivanku Mahna
On Adversarial Attacks on Deep Learning Models, Nag Mani
Predicting Off-Target Potential of CRISPR-Cas9 Single Guide RNA, Ishita Mathur
Deep Learning on Graphs using Graph Convolutional Networks, Saurabh Mithe
Over speed detection using Artificial Intelligence, Samkit Patira
Influence Analysis based on Political Twitter Data, Jace Rose
PORIFERAL VISION, Saketh Saxena
Graph Classification using Machine Learning Algorithms, Monica Golahalli Seenappa
Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism, Heemany Shekhar
Benchmarking Optimization Algorithms for Capacitated Vehicle Routing Problems, Pratik Surana
Intelligent Log Analysis for Anomaly Detection, Steven Yen
Measuring Malware Evolution Using Support Vector Machines, Mayuri Wadkar
Sensor - Based Human Activity Recognition Using Smartphones, Mustafa Badshah
An Empirical Comparison of Different Machine, Piyush Bajaj
Multifamily Malware Models, Samanvitha Basole
Detection of Hate Speech in Videos Using Machine Learning, Unnathi Bhandary
Chatbots with Personality Using Deep Learning, Susmit Gaikwad
SENTIMENT ANALYSIS FOR SEARCH ENGINE, Saravana Gunaseelan
Machine Learning versus Deep Learning for Malware Detection, Parth Jain
Optimizing E-Commerce Product Classification Using Transfer Learning, Rashmeet Kaur Khanuja
Classifying Classic Ciphers using Machine Learning, Nivedhitha Ramarathnam Krishna
Low Power MobileNets Acceleration In Cuda And OpenCL, Nikhil Lahoti
Human Activity Recognition Based on Multimodal Body Sensing, Anish Hemant Narkhede
Detecting Cars in a Parking Lot using Deep Learning, Samuel Ordonia
STOCK MARKET PREDICTION USING ENSEMBLE OF GRAPH THEORY, MACHINE LEARNING AND DEEP LEARNING MODELS, Pratik Patil
AI Dining Suggestion App, Bao Pham
AN ENSEMBLE MODEL FOR CLICK THROUGH RATE PREDICTION, Muthaiah Ramanathan
Masquerade Detection in Automotive Security, Ashraf Saber
Classification of Malware Models, Akriti Sethi
NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS, Shehba Shahab
Speaker Recognition Using Machine Learning Techniques, Abhishek Manoj Sharma
Deep Learning for Image Spam Detection, Tazmina Sharmin
TOPIC CLASSIFICATION USING HYBRID OF UNSUPERVISED AND SUPERVISED LEARNING, Jayant Shelke
Emulation vs Instrumentation for Android Malware Detection, Anukriti Sinha
Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan
Image Retrieval Using Image Captioning, Nivetha Vijayaraju
POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS, Parth Vyas
JavaScript Metamorphic Malware Detection Using Machine Learning Techniques, Aakash Wadhwani
Predictive Analysis for Cloud Infrastructure Metrics, Paridhi Agrawal
Toward On-demand Profile Hidden Markov Models for Genetic Barcode Identification, Jessica Sheu
Assessing Code Obfuscation of Metamorphic JavaScript, Kaushik Murli
Image Compression Using Neural Networks, Kunal Rajan Deshmukh
Species Classification using DNA Barcoding and Profile Hidden Markov Models, Sphoorti Poojary
Nitrogenase Iron Protein Detection using Neural Network, Ishan Shinde
Classification of Hyperspectral Colon Cancer Images Using Convolutional Neural Networks, Sean Joseph Mobilia
The Truth behind the Tweets, Vishnu Pendyala
The Role of Selfies in Creating the Next Generation Computer Vision Infused Outpatient Data Driven Electronic Health Records (EHR), Jaya Shankar Vuppalapati, Santosh Kedari, Sharat Kedari, Rajasekar Vuppalapati, Chandrasekar Vuppalapati, and Anitha Ilapakurti
Cognitive Secure Shield - A Machine Learning Enabled Threat Shield for Resource Constrained IoT Devices, Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Chitanshu Chauhan, Vanaja Mamidi, and Surbhi Rautji
Precision Dairy Edge, Albeit Analytics Driven: A Framework to Incorporate Prognostics and Auto Correction Capabilities for Dairy IoT Sensors, Santosh Kedari, Jaya Shankar Vuppalapati, Anitha Ilapakurti, Chandrasekar Vuppalapati, Sharat Kedari, and Rajasekar Vuppalapati
Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model, Ehsan Khatami
Intelligent Career Advisers in Your Pocket? A Need Assessment Study of Chatbots for Student Career Advising, Terri Lee, Krithika Jagannath, Nitin Aggarwal, Ramamurti Sridar, Shawn Wilde, Timothy Hill, and Yu Chen
Master's Projects from 2018
Management and Security of IoT systems using Microservices, Tharun Theja Kammara
Virtual Robot Climbing using Reinforcement Learning, Ujjawal Garg
DEEP VISUAL RECOMMENDATION SYSTEM, Raksha Sunil
Machine Learning and other Approaches to the truthfulness of information on Online Social Networks, Vishnu S. Pendyala
Understanding the Artificial Intelligence Business Ecosystem, Iris Quan and Jihong Sanderson
A System to Detect Mental Stress Using Machine Learning and Mobile Development, Chandrasekar Vuppalapati, Mohamad S. Khan, Nisha Raghu, Priyanka Veluru, and Suma Khursheed
