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 2022
Early warning system for highway construction projects using GA-SVM, Ali Shafaat, Farshid Marbouti, and Tarek Mahfouz
A Novel Handover Method Using Destination Prediction in 5G-V2X Networks, Pooja Shyamsundar
Analysis Of Public Sentiment of Covid-19 Pandemic, Vaccines, And Lockdowns, Devinesh Singh
Machine Learning Based Dynamic Restoration of Next Generation Wireless Networks, Sukhdeep Singh, Navrati Saxena, Prasham Jain, Abhishek Roy, Harman Jit Singh, Divay Bhutani, Nawab Muhammad Faseeh Qureshi, and Ali Kashif Bashir
Spartan Face Mask Detection and Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, and Jerry Gao
A Study on Human Face Expressions using Convolutional Neural Networks and Generative Adversarial Networks, Sriramm Muthyala Sudhakar
Taming the Data in the Internet of Vehicles, Shahab Tayeb
Investigating Classification Methods using Fixation Patterns to Predict Visual Tasks, Siddartha Thentu and Nada Attar
Cloud Provisioning and Management with Deep Reinforcement Learning, Alexandru Tol
Concept Drift and Malware Detection, Xiaoli Tong
Robustness of Image-Based Malware Analysis, Katrina Tran
Word Embeddings for Fake Malware Generation, Quang Duy Tran and Fabio Di Troia
Fake Malware Generation Using HMM and GAN, Harshit Trehan and Fabio Di Troia
ADVERSARIAL ATTACKS ON SPEECH SEPARATION SYSTEMS, Kendrick Trinh
Adversarial Attacks on Speech Separation Systems, Kendrick Trinh, Melody Moh, and Teng Sheng Moh
Machine Learning for Malware Evolution Detection, Lolitha Sresta Tupadha and Mark Stamp
SMARTREC: A Conversational Recommendation System Using Semantic Knowledge Graphs, Sudha Vijayakumar and Jorjeta G. Jetcheva
Artificial Intelligence and Heuristics for Enhanced Food Security, Chandrasekar Vuppalapati
The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food Security!, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamaidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, and Jaya Vuppalapati
A RISC-V Matrix Multiplier Using Systolic Arrays, Miao Wang
Acoustic Lens Design Using Machine Learning, Wei-Ching Wang
Generative modeling and reinforcement learning for acoustic lens design, Wei Ching Wang and Feruza Amirkulova
The 2D-global optimization networks (2D-GLOnets) model for acoustic metamaterial design, Wei Ching Wang and Feruza Amirkulova
Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning, Yupeng Wei and Dazhong Wu
On-Device Prediction for Chronic Kidney Disease, Alex Whelan, Soham Phadke, Alessandro Bellofiore, and David C. Anastasiu
Traffic Flow Prediction Using Deep Learning Models, China Seh Wu, Satya Pranavi Manthena, Saurabh Kale, and Maithili Vinayak Kulkarni
Using Machine Learning to Maximize First-Generation Student Success A Contribution to the Mission of Aiding the Underserved, Mustafa Emre Yesilyurt
Whole File Chunk Based Deduplication Using Reinforcement Learning, Xincheng Yuan
On Building Real Time Intelligent Agricultural Commodity Trading Models, Jiayu Zhou, Jing Ye, Yue Ouyang, Manyuan Tong, Xuedong Pan, and Jerry Gao
Submissions from 2021
Smart and Intelligent Systems: The Human Elements in Artificial Intelligence, Robotics, and Cybersecurity, Abbas Moallem
Smart and Intelligent Systems: The Human Elements in Artificial Intelligence, Robotics, and Cybersecurity, Abbas Moallem
Entrepreneurialism as Precarity: American Bookkeepers and Technological Transformation, Melanie Maxwell Bailey
Exploring the Applicability of ML in IOT Applications, Bhakti Subhash Chowkwale
Looking into the Future: Predicting Future Video Frames Using Monocular Depth Estimation and Egomotion, Meera Kumar
Two-Level Data Augmentation with Transfer Learning for Classification of Medical Images with Limited Data, Nihil Pudota
Sparse Coding for Data Augmentation of Hyperspectral Medical Images, Rojin Zandi
Task Classification During Visual Search Using Classic Machine Learning and Deep Learning, Devangi Vilas Chinchankar
The Impact of Programming Language’s Type on Probabilistic Machine Learning Models, Sherif Elsaid
Nitrogenase Iron Protein Classification using CNN Neural Network, Amer Rez
Privacy Preserving for Multiple Computer Vision Tasks, Amala Varghese Wilson
An Open Source Direct Messaging and Enhanced Recommendation System for Yioop, Aniruddha Dinesh Mallya
Predicting Stocks with LSTM-based DRNN and GAN, Duy Ngo
Analysis of Camera Trap Footage Through Subject Recognition, Nirnayak Bhardwaj
Identifying Bots on Twitter with Benford’s Law, Sanmesh Bhosale
Employee Churn Prediction using Logistic Regression and Support Vector Machine, Rajendra Maharjan
The future is big - And small: Remote sensing enables cross- scale comparisons of microbiome dynamics and ecological consequences, Deanna S. Beatty, Lillian R. Aoki, Olivia J. Graham, and Bo Yang
Neural upscaling from residue-level protein structure networks to atomistic structures, Vy T. Duong, Elizabeth M. Diessner, Gianmarc Grazioli, Rachel W. Martin, and Carter T. Butts
The human right to water and sanitation: Using natural language processing to uncover patterns in academic publishing, Christopher Michael Faulkner, Joshua Earl Lambert, Bruce M. Wilson, and Matthew Steven Faulkner
Rapid MOSFET Contact Resistance Extraction from Circuit Using SPICE-Augmented Machine Learning without Feature Extraction, Thomas Lu, Varada Kanchi, Kashyap Mehta, Sagar Oza, Tin Ho, and Hiu Yung Wong
Learning the health index of complex systems using dynamic conditional variational autoencoders, Yupeng Wei, Dazhong Wu, and Janis Terpenny
The University of Washington Ice-Liquid Discriminator (UWILD) improves single-particle phase classifications of hydrometeors within Southern Ocean clouds using machine learning, Rachel Atlas, Johannes Mohrmann, Joseph Finlon, Jeremy Lu, Ian Hsiao, Robert Wood, and Minghui Diao
TCAD-Augmented Machine Learning with and without Domain Expertise, Harsaroop Dhillon, Kashyap Mehta, Ming Xiao, Boyan Wang, Yuhao Zhang, and Hiu Yung Wong
Analytical Models for Traffic Congestion and Accident Analysis, Hongrui Liu and Rahul Ramachandra Shetty
Novel Cascade Classifier Using Multiresolution Progressive Learning for Device-Free Indoor Localization, Prasanga Neupane, Hsiao Chun Wu, Guannan Liu, Weidong Xiang, Jinwei Ye, and Shih Yu Chang
CASExplorer: A Conversational Academic and Career Advisor for College Students, Terri Lee, Tianjie Zhu, Sophia Liu, Linh Trac, Zizhen Huang, and Yu Chen
Statistical potentials for RNA-protein interactions optimized by CMA-ES, Takayuki Kimura, Nobuaki Yasuo, Masakazu Sekijima, and Brooke Lustig
Exploring the Relationship Between Mandatory Helmet Use Regulations and Adult Cyclists’ Behavior in California Using Hybrid Machine Learning Models, Fatemeh Davoudi Kakhki and Maria Chierichetti
Roads in You, Yoon Chung Han
Camelot: AI-Powered Campaign Management System, Piyusha Kulkarni, Radhika Bhoj, Sourabh Rajapure, Shubham Gujar, Devika Verma, and Rakesh Ranjan
Computer-aided diagnosis of low grade endometrial stromal sarcoma (LGESS), Xinxin Yang and Mark Stamp
Generative Adversarial Networks for Classic Cryptanalysis, Deanne Charan
Hyperglycemia identification using ECG in deep learning era, Renato Cordeiro, Nima Karimian, and Younghee Park
Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning, Hovannes Kulhandjian
The software will see you now: The promise and peril of digital therapy, Lawrence Quill
Novel Indoor Device-Free Human Tracking Using Learning Systems with Hidden Markov Models, Guannan Liu, Prasanga Neupane, Hsiao Chun Wu, Weidong Xiang, Jinwei Ye, Limeng Pu, Shih Yu Chang, Yiyan Wu, and Kun Yan
Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting, Prasanga Neupane, Guannan Liu, Hsiao Chun Wu, Weidong Xiang, Shih Yu Chang, and Yiyan Wu
Academic and Demographic Cluster Analysis of Engineering Student Success, Farshid Marbouti, Jale Ulas, and Ching Ho Wang
Efficient Metadata Lookup In Inline Deduplication Systems Leveraging Block Similarity, Rakesh Gururaj
Machine Learning for Occupational Slip-Trip-Fall Incidents Classification Within Commercial Grain Elevators, Fatemeh Davoudi Kakhki, Steven Freeman, and Gretchen Mosher
DRAM-Based Authentication Using Deep Convolutional Neural Networks, Michael Yue, Nima Karimian, Wei Yan, Nikolaos Athanasios Anagnostopoulos, and Fatemeh Tehranipoor
Analyzing Public Sentiment on COVID-19 Pandemic, Pradeepika Gedupudi
Task Classification during Visual Search with Deep Learning Neural Networks and Machine Learning Methods, Siddartha Thentu
Improving Facial Emotion Recognition with Image processing and Deep Learning, Ksheeraj Sai Vepuri
The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition, Berkeley K. Limketkai, Kasuen Mauldin, Natalie Manitius, Laleh Jalilian, and Bradley R. Salonen
Machine learning estimation of fire arrival time from level-2 active fires satellite data, Angel Farguell, Jan Mandel, James Haley, Derek V. Mallia, Adam Kochanski, and Kyle Hilburn
Clickbait Detection in YouTube Videos, Ruchira Gothankar
Malware Classification with BERT, Joel Lawrence Alvares
Keystroke Dynamics Based on Machine Learning, Han-Chih Chang
Presentation Attack Detection in Facial Biometric Authentication, Hardik Kumar
Image-based Real Estate Appraisal using CNNs and Ensemble Learning, Prathamesh Dnyanesh Kumkar
Pattern-based Botnet Detection Using Network Flow Analysis and Deep Learning Techniques, Ji An Lee
Keystroke Dynamics for User Authentication with Fixed and Free Text, Jianwei Li
Malware Analysis with Auxiliary-Classifier GAN, Rakesh Nagaraju
Fake Malware Classification with CNN via Image Conversion: A Game Theory Approach, Yash Sahasrabuddhe
Classifying Illegal Advertisements on the Darknet Using NLP, Karan Shashin Shah
Hidden Markov Model-based Clustering for Malware Classification, Shamli Singh
Fake malware opcodes generation using HMM and different GAN algorithms, Harshit Trehan
Machine Learning to Detect Malware Evolution, Lolitha Sresta Tupadha
Data Augmentation with Malware as Images, Aditi Walia
Cyberbullying Classification based on Social Network Analysis, Anqi Wang
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS), Xinxin Yang
Translating Natural Language Queries to SPARQL, Shreya Satish Bhajikhaye
Visual and Lingual Emotion Recognition using Deep Learning Techniques, Akshay Kajale
Defending Vehicles Against Cyberthreats: Challenges and a Detection-Based Solution, Qilin Liu
American Sign Language Assistant, Charulata Lodha
Detecting and predicting visual affordance of objects in a given environment, Bhumika Kaur Matharu
Machine Learning Using Serverless Computing, Vidish Naik
A Hybrid Gaze Pointer with Voice Control, Indhuja Ravi
Automating Text Encapsulation Using Deep Learning, Anket Sah
