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 @ SJSUMaster's Projects from 2020
Improved Chinese Language Processing for an Open Source Search Engine, Xianghong Sun
VIRTUAL ROBOT LOCOMOTION ON VARIABLE TERRAIN WITH ADVERSARIAL REINFORCEMENT LEARNING, Phong Nguyen
REAL-TIME AD CLICK FRAUD DETECTION, Apoorva Srivastava
Network Traffic Based Botnet Detection Using Machine Learning, Anand Ravindra Vishwakarma
Using Color Thresholding and Contouring to Understand Coral Reef Biodiversity, Scott Vuong Tran
Understanding Impact of Twitter Feed on Bitcoin Price and Trading Patterns, Ashrit Deebadi
Convolutional neural networks for image spam detection, Tazmina Sharmin, Fabio Di Troia, Katerina Potika, and Mark Stamp
Roads in You, Yoon Chung Han
A predictive failure framework for brittle porous materials via machine learning and geometric matching methods, Alp Karakoç and Özgür Keleş
Securing the Emerging Technologies of Autonomous and Connected Vehicles, Shahab Tayeb and Matin Pirouz
Detecting malware evolution using support vector machines, Mayuri Wadkar, Fabio Di Troia, and Mark Stamp
Graph Classification with Kernels, Embeddings and Convolutional Neural Networks, Monica Golahalli Seenappa, Katerina Potika, and Petros Potikas
Securing Trust in Online Social Networks, Vishnu S. Pendyala
Multifamily malware models, Samanvitha Basole, Fabio Di Troia, and Mark Stamp
Democratization of AI, albeit constrained IoT devices & Tiny ML, for creating a sustainable food future, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Jaya Vuppalapati, Santosh Kedari, and Raja Vuppalapati
Stock market prediction using ensemble of graph theory, machine learning and deep learning models, Pratik Patil, Ching Seh M. Wu, Katerina Potika, and Marjan Orang
Prediction of Novel Antibiofilm Peptides from Diverse Habitats using Machine Learning, Bipasa Bose
Teaching business students chatbots: First forays and lessons learned, Yu Chen and Timothy R. Hill
Utilization of Machine Learning in Analyzing Post-incident State of Occupational Injuries in Agro-Manufacturing Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, and Gretchen A. Mosher
A Novel Approach to Music Genre Classification using Natural Language Processing and Spark, Sharan Duggirala and Teng Sheng Moh
Artificially Intelligent (AI) drones for first responders, Sambhav Gupta, Yu Chen, Yanxia Zhang, and Richard Sessions
Applied machine learning in agro-manufacturing occupational incidents, Fatemeh Davoudi Kakhki, Steven A. Freeman, and Gretchen A. Mosher
The Role of Supervised Climate Data Models and Dairy IoT Edge Devices in Democratizing Artificial Intelligence to Small Scale Dairy Farmers Worldwide, Santosh Kedari, Jaya Shankar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Rajasekar Vuppalapati, and Chandrasekar Vuppalapati
Machine Learning in Indian Crop Classification of Temporal Multi-Spectral Satellite Image, Ravali Koppaka and Teng Sheng Moh
Improvement of TCAD Augmented Machine Learning Using Autoencoder for Semiconductor Variation Identification and Inverse Design, Kashyap Mehta, Sophia Susan Raju, Ming Xiao, Boyan Wang, Yuhao Zhang, and Hiu Yung Wong
No "Love" Lost: Defending Hate Speech Detection Models Against Adversaries, Melody Moh, Teng Sheng Moh, and Brian Khieu
Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities, Vishnu Pendyala
Machine Learning Based Detection of Gray-Hole Attack in Mobile Ad-Hoc Networks, Sunil Poyyagadde Rao, Deepak Devaru Joshi, and Juzi Zhao
Forecasting and inventory model for genuine automotive spare parts wholesale distributor, Norachai Sanguansaringkhan and Hongrui Liu
DeeperCoder: Code Generation Using Machine Learning, Simon Shim, Pradnyesh Patil, Rajiv Ramesh Yadav, Anurag Shinde, and Venkatesh Devale
Democratization of artificial intelligence (AI) to small scale farmers: A framework to deploy AI models to tiny IoT edges that operate in constrained environments, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Jaya Vuppalapati, Santosh Kedari, and Raja Vuppalapati
Democratization of AI to small scale farmers, albeit food harvesting citizen data scientists, that are at the bottom of the economic pyramid, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Rajasekar Vuppalapati, Jayashankar Vuppalapati, and Santosh Kedari
Human AI symbiosis: The role of artificial intelligence in stratifying high-risk outpatient senior citizen fall events in a non-connected environments, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Rajasekar Vuppalapati, Jayashankar Vuppalapati, and Santosh Kedari
A Digital Diagnostic Aide for Skincare: The Role of Computer Vision and Machine Learning in Revealing Skin Texture Changes, Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Sharat Kedari, and Rajasekar Vuppalapati
Artificial Intelligent (AI) Clinical Edge for Voice Disorder Detection, Jaya Shankar Vuppalapati, Santosh Kedaru, Sharat Kedari, Anitha Ilapakurti, and Chandrasekar Vuppalapati
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
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
