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
Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms, Shivam Tyagi, Rashmi Kumari, Sarath Chandra Makkena, Swayam Swaroop Mishra, and Vishnu S. Pendyala
Hemp disease detection and classification using machine learning and deep learning, Bipasa Bose, Jyotsna Priya, Sonam Welekar, and Zeyu Gao
Opportunities and challenges of geospatial analysis for promoting urban livability in the era of big data and machine learning, Anna Kovacs-Györi, Alina Ristea, Clemens Havas, Michael Mehaffy, Hartwig H. Hochmair, Bernd Resch, Levente Juhasz, Arthur Lehner, Laxmi Ramasubramanian, and Thomas Blaschke
Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com, Amit Sharma, Hongrui Liu, and Hongwei Liu
Detection of Hate Speech in Videos Using Machine Learning, Ching Seh Wu and Unnathi Bhandary
Grape Leaf Disease Detection and Classification Using Machine Learning, Zhaohua Huang, Ally Qin, Jingshu Lu, Aparna Menon, and Jerry Gao
Hemp Disease Detection and Classification Using Machine Learning, Jing Zhu, Tianhao Yu, Sen Zheng, Chenguang Niu, Jerry Gao, and Jerome Tang
CollegeBot: A Conversational AI Approach to Help Students Navigate College, Mohinish Daswani, Kavina Desai, Mili Patel, Reeya Vani, and Magdalini Eirinaki
Predictive modeling for occupational safety outcomes and days away from work analysis in mining operations, Anurag Yedla, Fatemeh Davoudi Kakhki, and Ali Jannesari
Custom Dataset Creation with Tensorflow Framework and Image Processing for Google T-Rex, Dhananjai Bajpai and Lili He
Evaluating KNN Performance on WESAD Dataset, Dhananjai Bajpai and Lili He
Fully analog ReRAM neuromorphic circuit optimization using DTCO simulation framework, Anh Nguyen, Hoi Nguyen, Sruthi Venimadhavan, Ayyaswamy Venkattraman, David Parent, and Hiu Yung Wong
Application of noise to avoid overfitting in TCAD augmented machine learning, Sophia Susan Raju, Boyan Wang, Kashyap Mehta, Ming Xiao, Yuhao Zhang, and Hiu Yung Wong
Play it again IMuCo! Music Composition to Match your Mood, Tsung-Min Huang, Hunter Hsieh, Jiaqi Qin, Hsien-Fung Liu, and Magdalini Eirinaki
Convolutional neural networks and extreme learning machines for malware classification, Mugdha Jain, William Andreopoulos, and Mark Stamp
Visualizing strange metallic correlations in the two-dimensional Fermi-Hubbard model with artificial intelligence, Ehsan Khatami, Elmer Guardado-Sanchez, Benjamin M. Spar, Juan Felipe Carrasquilla, Waseem S. Bakr, and Richard T. Scalettar
A unified framework on node classification using graph convolutional networks, Saurabh Mithe and Katerina Potika
Automatic Traffic Monitoring and Management for Pedestrian and Cyclist Safety Using Deep Learning and Artificial Intelligence, Mohammad Pourhomayoun
Machine Learning Discovery of Computational Model Efficacy Boundaries, Michael S. Murillo, Mathieu Marciante, and Liam G. Stanton
Blockchain technology and applications, Ahmed Banafa
The role of combinatorial mathematical optimization and heuristics to improve small farmers to veterinarian access and to create a sustainable food future for the world, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Rajasekar Vuppalapati, Jayashankar Vuppalapati, and Santosh Kedari
Blockchain Technology and Applications, Ahmed Banafa
Evidence-Based Detection of Pancreatic Canc, Rajeshwari Deepak Chandratre
USING MACHINE LEARNING TO OPTIMIZE PREDICTIVE MODELS USED FOR BIG DATA ANALYTICS IN VARIOUS SPORTS EVENTS, Akhil Kumar Gour
Predicting Students’ Performance by Learning Analytics, Sandeep Subhash Madnaik
Pattern Analysis and Prediction of Mild Cognitive Impairment Using the Conn Toolbox, Meenakshi Anbukkarasu
Higher-order Link Prediction Using Graph Embeddings, Neeraj Chavan
Detection of Mild Cognitive Impairment using Diffusion Compartment Imaging, Matthew Jones
Probabilistic and Machine Learning Enhancement to CONN Toolbox, Gayathri Hanuma Ravali Kuppachi
Word Embedding Techniques for Malware Classification, Aniket Chandak
A Code Reputation System Using AI and Blockchain Technology, Jeremy Chau
Housing Market Crash Prediction Using Machine Learning and Historical Data, Parnika De
Computational Astronomy: Classification of Celestial Spectra Using Machine Learning Techniques, Gayatri Milind Hungund
Sentiment Analysis for Troll Activity Detection on Sina Weibo, Zidong Jiang
Malware Classification Based on Hidden Markov Model and Word2Vec Features, Aparna Sunil Kale
Yoga Pose Classification Using Deep Learning, Shruti Kothari
An AI for a Modification of Dou Di Zhu, Xuesong Luo
USING DEEP LEARNING AND LINGUISTIC ANALYSIS TO PREDICT FAKE NEWS WITHIN TEXT, John Nguyen
Detection and Analysis of Malware Evolution, Sunhera Barunkumar Paul
AI Quantification of Language Puzzle to Language Learning Generalization, Harita Shroff
Video Synthesis from the StyleGAN Latent Space, Lei Zhang
Comparison of Word2vec with Hash2vec for Machine Translation, Neha Gaikwad
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
