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.

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Submissions from 2019

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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

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MUSIC MOOD CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS, Revanth Akella

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Designing single guide RNAs for CRISPR/Cas9, Neha Atul Bhagwat

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Detecting CRISPR Arrays Using Long-Short Term Memory Network, Shantanu Deshmukh

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An Industry Driven Genre Classification Application using Natural Language Processing, Sharan Duggirala

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Context-based Multi-stage Offline Handwritten Mathematical Symbol Recognition using Deep Learning, Sui Kun Guan

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MACHINE LEARNING IN CROP CLASSIFICATION OF TEMPORAL MULTISPECTRAL SATELLITE IMAGE, Ravali Koppaka

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Learning for Free – Object Detectors Trained on Synthetic Data, Charles Thane MacKay

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Fast High Resolution Image Completion, Chinmay Mishra

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SQL Injection Detection Using Machine Learning, Sonali Mishra

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Using Computer Vision to Quantify Coral Reef Biodiversity, Niket Bhodia

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Deep Learning Based Real Time Devanagari Character Recognition, Aseem Chhabra

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Classification of Humans into Ayurvedic Prakruti Types using Computer Vision, Gayatri Gadre

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TSAR : A System for Defending Hate Speech Detection Models Against Adversaries, Brian Tuan Khieu

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Learning To Play The Trading Game, Neeraj Kulkarni

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GloVeNoR - Global Vectors for Node Representations, Shishir Kulkarni

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YODA – Your Only Design Assistant, Siddharth Kulkarni

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Robust Lightweight Object Detection, Siddharth Kumar

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Improving Steering Ability of an Autopilot in a Fully Autonomous Car, Shivanku Mahna

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On Adversarial Attacks on Deep Learning Models, Nag Mani

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Predicting Off-Target Potential of CRISPR-Cas9 Single Guide RNA, Ishita Mathur

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Deep Learning on Graphs using Graph Convolutional Networks, Saurabh Mithe

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Over speed detection using Artificial Intelligence, Samkit Patira

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Influence Analysis based on Political Twitter Data, Jace Rose

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PORIFERAL VISION, Saketh Saxena

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Graph Classification using Machine Learning Algorithms, Monica Golahalli Seenappa

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Breaking Audio Captcha using Machine Learning/Deep Learning and Related Defense Mechanism, Heemany Shekhar

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Benchmarking Optimization Algorithms for Capacitated Vehicle Routing Problems, Pratik Surana

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Intelligent Log Analysis for Anomaly Detection, Steven Yen

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Measuring Malware Evolution Using Support Vector Machines, Mayuri Wadkar

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Sensor - Based Human Activity Recognition Using Smartphones, Mustafa Badshah

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An Empirical Comparison of Different Machine, Piyush Bajaj

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Multifamily Malware Models, Samanvitha Basole

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Detection of Hate Speech in Videos Using Machine Learning, Unnathi Bhandary

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Chatbots with Personality Using Deep Learning, Susmit Gaikwad

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SENTIMENT ANALYSIS FOR SEARCH ENGINE, Saravana Gunaseelan

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Machine Learning versus Deep Learning for Malware Detection, Parth Jain

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Optimizing E-Commerce Product Classification Using Transfer Learning, Rashmeet Kaur Khanuja

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Classifying Classic Ciphers using Machine Learning, Nivedhitha Ramarathnam Krishna

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Low Power MobileNets Acceleration In Cuda And OpenCL, Nikhil Lahoti

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Human Activity Recognition Based on Multimodal Body Sensing, Anish Hemant Narkhede

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Detecting Cars in a Parking Lot using Deep Learning, Samuel Ordonia

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STOCK MARKET PREDICTION USING ENSEMBLE OF GRAPH THEORY, MACHINE LEARNING AND DEEP LEARNING MODELS, Pratik Patil

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AI Dining Suggestion App, Bao Pham

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AN ENSEMBLE MODEL FOR CLICK THROUGH RATE PREDICTION, Muthaiah Ramanathan

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Masquerade Detection in Automotive Security, Ashraf Saber

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Classification of Malware Models, Akriti Sethi

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NEXT LEVEL: A COURSE RECOMMENDER SYSTEM BASED ON CAREER INTERESTS, Shehba Shahab

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Speaker Recognition Using Machine Learning Techniques, Abhishek Manoj Sharma

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Deep Learning for Image Spam Detection, Tazmina Sharmin

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TOPIC CLASSIFICATION USING HYBRID OF UNSUPERVISED AND SUPERVISED LEARNING, Jayant Shelke

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Emulation vs Instrumentation for Android Malware Detection, Anukriti Sinha

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Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan

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Image Retrieval Using Image Captioning, Nivetha Vijayaraju

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POSE ESTIMATION AND ACTION RECOGNITION IN SPORTS AND FITNESS, Parth Vyas

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JavaScript Metamorphic Malware Detection Using Machine Learning Techniques, Aakash Wadhwani

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Predictive Analysis for Cloud Infrastructure Metrics, Paridhi Agrawal

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Toward On-demand Profile Hidden Markov Models for Genetic Barcode Identification, Jessica Sheu

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Assessing Code Obfuscation of Metamorphic JavaScript, Kaushik Murli

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Image Compression Using Neural Networks, Kunal Rajan Deshmukh

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Species Classification using DNA Barcoding and Profile Hidden Markov Models, Sphoorti Poojary

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Nitrogenase Iron Protein Detection using Neural Network, Ishan Shinde

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Classification of Hyperspectral Colon Cancer Images Using Convolutional Neural Networks, Sean Joseph Mobilia

The Truth behind the Tweets, Vishnu Pendyala

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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

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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

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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

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Principal component analysis of the magnetic transition in the three-dimensional Fermi-Hubbard model, Ehsan Khatami

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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

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Management and Security of IoT systems using Microservices, Tharun Theja Kammara

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Virtual Robot Climbing using Reinforcement Learning, Ujjawal Garg

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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

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A System to Detect Mental Stress Using Machine Learning and Mobile Development, Chandrasekar Vuppalapati, Mohamad S. Khan, Nisha Raghu, Priyanka Veluru, and Suma Khursheed

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Artificial Intelligence (AI) Infused Cow Necklace-For Diagnosis of Bovine Respiratory Diseases, Chandrasekar Vuppalapati, Rajasekar Vuppalapati, Sharat Kedari, Anitha Ilapakurti, Archana Ramalingam, Jaya Shankar Vuppalapati, and Santosh Kedari

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Fuzzy Logic Infused Intelligent Scent Dispenser for Creating Memorable Customer Experienceof Long-Tail Connected Venues, Chandrasekar Vuppalapati, Rajasekar Vuppalapati, Sharat Kedari, Anitha Ilapakurti, Jaya Shankar Vuppalapati, and Santosh Kedari

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Function Call Graphs Versus Machine Learning for Malware Detection, Deebiga Rajeswaran, Fabio Troia, Thomas Austin, and Mark Stamp

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Towards a Smart World: Hazard Levels for Monitoring of Autonomous Vehicles’ Swarms, Francesca M. Favaro, Shivangi Agarwal, Nazanin Nader, and Sumaid Mahmood

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A Medley of Ising Models; Monte Carlo Solutions and Machine Learning Applications, Demetrius Almada

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Adaptive edge analytics for creating memorable customer experience and venue brand engagement, a scented case for Smart Cities, Anitha Ilapakurti, Jaya Shankar Vuppalapati, Santosh Kedari, Sharat Kedari, Rajasekar Vuppalapati, and Chandrasekar Vuppalapati

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Disruptive Technology: Do Robots Want Your Job?, Martin Ford

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Will Artificial Intelligence Have Free-Will?, Guadalupe Rodriguez

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Bitcoin Transaction Fee Estimation Using Mempool State and Linear Perceptron Machine Learning Algorithm, Abdullah Al-Shehabi

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Deep Learning for Chatbots, Vyas Ajay Bhagwat

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Using Sentiment Analysis and Pattern Matching to Signal User Review Abnormalities, Stefan S. Gloutnikov

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A Study On Effects Of Data Poisoning On HMMs, Rachel Gonsalves

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Anomaly Detection for Application Log Data, Aarish Grover

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Image Robust Hashing for Malware Detection, Wei-Chung Huang

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Feature Selection using Genetic Algorithms, Vandana Kannan

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Visual Question Answering, Pankti Kansara

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Machine Learning Playground, Adil Khan

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PE Header Analysis for Malware Detection, Samuel Kim

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A Convolutional Neural Network Based Approach For Visual Question Answering, Lavanya Abhinaya Koduri

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Resolving Cold Start Problem Using User Demographics and Machine Learning Techniques for Movie Recommender Systems, Sahil Motadoo

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DISTINGUISHING EARTHQUAKES AND NOISE USING RANDOM FOREST ALGORITHM, Nishita Narvekar

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Boosted Hidden Markov Models for Malware Detection, Aditya Raghavan

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Facial Emotion Recognition Using Machine Learning, Nitisha Raut

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SQL Injection Detection Using Machine Learning Techniques and Multiple Data Sources, Kevin Ross

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Analysis of Encrypted Malicious Traffic, Anish Singh Shekhawat