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 2018
Image Spam Classification using Deep Learning, Ajay Pal Singh
Subtopics in Yelp Reviews, Riya Suchdev
SPEECH EMOTION DETECTION USING MACHINE LEARNING TECHNIQUES, Neethu Sundarprasad
Analyzing Android Adware, Supraja Suresh
A MEDICAL PRICE PREDICTION SYSTEM, Anuja Tike
Stock Price Prediction using Deep Learning, Abhinav Tipirisetty
Image Segmentation and Classification of Marine Organisms, Krishna Teja Vojjila
The role of Voice Service technologies in creating the next generation outpatient data driven Electronic Health Record (EHR), Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Sharat Kedari, Mahesh Gudivada, and Chandrasekar Vuppalapati
Secrecy in Educational Practices: Enacting Nested Black Boxes in Cheating and Deception Detection Systems, Jo Ann Oravec
Does the test work? Evaluating a web-based language placement test, Avizia Long, Sun-Young Shin, Kimberly Geeslin, and Erik Willis
Autocorrelation Analysis of Financial Botnet Traffic, Prathiba Nagarajan, Fabio Troia, Thomas Austin, and Mark Stamp
Deep learning versus gist descriptors for image-based malware classification, Sravani Yajamanam, Vikash Raja Samuel Selvin, Fabio Troia, and Mark Stamp
On the Effectiveness of Generic Malware Models, Naman Bagga, Fabio Di Troia, and Mark Stamp
Support Vector Machines for Image Spam Analysis, Aneri Chavda, Katerina Potika, Fabio Di Troia, and Mark Stamp
Unsupervised machine learning account of magnetic transitions in the Hubbard model, Kelvin Ch'ng, Nick Vazquez, and Ehsan Khatami
AI Infused Fragrance Systems for Creating Memorable Customer Experience and Venue Brand Engagement, Anitha Ilapakurti, Jaya Shankar Vuppalapati, Santosh Kedari, Sharat Kedari, Rajasekar Vuppalapati, and Chandrasekar Vuppalapati
Adaptive edge analytics - A framework to improve performance and prognostics capabilities for dairy IoT sensor, Santosh Kedari, Jaya Shankar Vuppalapati, Anitha Ialapakurti, Sharat Kedari, Rajasekar Vuppalapati, and Chandrasekar Vuppalapati
Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness, Vishnu Pendyala
Machine Learning Methods for Kidney Disease Screening, Rathna Ramesh
A Survey of Machine Learning Algorithms and Their Application in Information Security, Mark Stamp
Machine learning infused preventive healthcare for high-risk outpatient elderly, Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Rajasekar Vuppalapati, and Sharat Kedari
Submissions from 2017
In Pursuit of Truth on the Web: Soft Computing for Truth Finding, Vishnu S. Pendyala
A Scrabble Artificial Intelligence Game, Priyatha Joji Abraham
Measuring the Effectiveness of Generic Malware Models, Naman Bagga
Introduction to Machine Learning with Applications in Information Security, Mark Stamp
Machine Learning Phases of Strongly Correlated Fermions, Kelvin Ch'ng, Juan Carrasquilla, Roger Melko, and Ehsan Khatami
Math Never Lies: Machine Learning for Fact Finding, Vishnu S. Pendyala
Question Type Recognition Using Natural Language Input, Aishwarya Soni
Improving Text Classification with Word Embedding, Lihao Ge
iDispenser-big data enabled intelligent dispenser, Anitha Ilapakurti, Jaya Shankar Vuppalapati, Santosh Kedari, Sharat Kedari, Chitanshu Chauhan, and Chandrasekar Vuppalapati
Smart dairies-enablement of smart city at gross root level, Jaya Shankar Vuppalapati, Santosh Kedari, Ananth Ilapakurthy, Anitha Ilapakurti, and Chandrasekar Vuppalapati
Housing Price prediction Using Support Vector Regression, Jiao Yang Wu
Predicting Pancreatic Cancer Using Support Vector Machine, Akshay Bodkhe
Path-Finding Methodology for Visually-Impaired Patients Based on Image-Processing, Abhilash Goyal
Neural Net Stock Trend Predictor, Sonal Kabra
An Open Source Discussion Group Recommendation System, Sarika Padmashali
DOCUMENT CLASSIFICATION USING MACHINE LEARNING, Ankit Basarkar
CREDIT SCORING USING LOGISTIC REGRESSION, Ansen Mathew
AI for Classic Video Games using Reinforcement Learning, Shivika Sodhi
Transcriptase–Light: A Polymorphic Virus Construction Kit, Saurabh Borwankar
NAMED ENTITY RECOGNITION AND CLASSIFICATION FOR NATURAL LANGUAGE INPUTS AT SCALE, Shreeraj Dabholkar
Application of Computational Methods to Study the Selection of Authentic and Cryptic Splice Sites, Tapomay Dey
Shopbot: An Image Based Search Application for E-Commerce Domain, Nishant Goel
Mining Frequency of Drug Side Effects Over a Large Twitter Dataset Using Apache Spark, Dennis Hsu
Masquerade Detection on Mobile Devices, Swathi Nambiar Kadala Manikoth
Comparing Authentic and Cryptic 5’ Splice Sites Using Hidden Markov Models and Decision Trees, Pratikshya Mishra
Computational Analysis of Cryptic Splice Sites, Remya Mohanan
A Chatbot Framework for Yioop, Harika Nukala
Malware Scores Based on Image Processing, Vikash Raja Samuel Selvin
Generic Online Learning for Partial Visible & Dynamic Environment with Delayed Feedback, Behrooz Shahriari
Headline Generation using Deep Neural Networks, Dhruven Vora
Cascaded Facial Detection Algorithms To Improve Recognition, Edmund Yee
Image Spam Detection, Aneri Chavda
Analysis of Periodicity in Botnets, Prathiba Nagarajan
Automated Medical Diagnosis from Clinical Data, Vishnu S. Pendyala and Silvia Figueira
Mining Frequency of Drug Side Effects Over a Large Twitter Dataset Using Apache Spark, Dennis Hsu
Malware Detection using the Index of Coincidence, Bhavna Gurnani
Evolving a Truthful World Wide Web, Vishnu Pendyala
Automated Classification to Improve the Efficiency of Weeding Library Collections, Kiri Lou Wagstaff
Theses/Dissertations from 2016
Modeling Cloud Computing Threats and Vulnerabilities, Maryam Runiassy
Real-time Online Chinese Character Recognition, Wenlong Zhang
DNA ANALYSIS USING GRAMMATICAL INFERENCE, Cory Cook
Analyze Large Multidimensional Datasets Using Algebraic Topology, David Le
Analysis on ALERGIA Algorithm: Pattern Recognition by Automata Theory, Xuanyi Qi
Static and Dynamic Analysis for Android Malware Detection, Ankita Kapratwar
Machine Learning on the Cloud for Pattern Recognition, Tien Nguyen
Multi Faceted Text Classification using Supervised Machine Learning Models, Abhiteja Gajjala
Supervised Learning for Multi-Domain Text Classification, Siva Charan Reddy Gangireddy
Malicious JavaScript Detection using Statistical Language Model, Anumeha Shah
Movie Script Shot Lister, David Robert Smith
Multiple Sequence Alignment with Pro le Hidden Markov Models, Shubhangi Rakhonde
HIVE - An Agent Based Modeling Framework, Roohi Bharti
Detection of Locations of Key Points on Facial Images, Manoj Gyanani
PRO-Fit: Exercise with friends, Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, and Iraklis Varlamis
Master's Projects from 2015
PATTERN DISCOVERY IN DNA USING STOCHASTIC AUTOMATA, Shweta Shweta
Predicting Autism over Large-Scale Child Dataset, Arpit Arya
Interactive Phishing Filter, Rushikesh Joshi
Predicting 'Attention Deficit Hyperactive Disorder' using large scale child data set, Arpi Shah
The Secret of Plinket, Priya Banwait
Clustering versus SVM for Malware Detection, Usha Narra
A Comparison of Clustering Techniques for Malware Analysis, Swathi Pai
Optimization of Scheduling and Dispatching Cars on Demand, Vu Tran
Malware Detection Using Dynamic Analysis, Swapna Vemparala
Using Neural Networks for Image Classification, Tim Kang
Static Analysis of Malicious Java Applets, Nikitha Ganesh
Using Hidden Markov Models to Detect DNA Motifs, Santrupti Nerli
Using Probabilistic Graphical Models to Solve NP-complete Puzzle Problems, Fengjiao Wu
COMPARATIVE ANALYSIS OF PARTICLE SWARM OPTIMIZATION ALGORITHMS FOR TEXT FEATURE SELECTION, Shuang Wu
Master's Projects from 2014
Masquerade detection using Singular Value Decomposition, Sweta Vikram Shah
FINANCIAL RATIO ANALYSIS FOR STOCK PRICE MOVEMENT PREDICTION USING HYBRID CLUSTERING, Tom Tupe
CS 156: Introduction to Artificial Intelligence Course Redesign, Chris Tseng
CS 156: Introduction toArtificial Intelligence Textbook Alternatives, Chris Tseng
Big Data Analytics Using Neural networks, Chetan Sharma
Backward Sequential Feature Elimination And Joining Algorithms In Machine Learning, Sanya Valsan
Master's Projects from 2013
BIG DATA CLASSIFICATION USING DECISION TREES ON THE CLOUD, Chinmay Bhawe
Predicting Product Review Helpfulness Using Machine Learning and Specialized Classification Models, Scott Bolter
Modular Approach to Big Data using Neural Networks, Animesh Dutta
Big Data Analysis Using Amazon Web Services and Support Vector Machines, Dhruv Jalota
Classification of Web Pages in Yioop with Active Learning, Shawn Cameron Tice
