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 2022
Gesture Recognition using Neural Networks, Ashwini Kurady
Modeling Sequencing Artifacts for Next Generation Sequencing, Yvonna Leong
Accelerated Reward Policy (ARP) for Robotics Deep Reinforcement Learning, Harry Li, Chee Vang, Shifabanu Shaikh, Yusuke Yakuwa, Allen Lee, Nitin Patil, Nisarg Vadher, Zhixuan Zhou, and Shuwen Zheng
Real-Time Metal-Surface-Defect Detection and Classification Using Advanced Machine Learning Technique, Wei Liu, Kun Yan, Hsiao Chun Wu, Xiangli Zhang, Shih Yu Chang, and Yiyan Wu
A Review of Quality Assurance Research of Dialogue Systems, Xiaomin Li, Chuanqi Tao, Jerry Gao, and Hongjing Guo
Graph Neural Networks for Malware Classification, Vrinda Malhotra
A Novel Machine Learning Based Framework for Bridge Condition Analysis, Mohammad Masum, Nafisa Anjum, Md Jobair Hossain Faruk, Hossain Shahriar, Nazmus Sakib, Maria Valero, M. A. Karim, Akond Rahman, Fan Wu, and Alfredo Cuzzocrea
Hidden Markov Models with Momentum, Andrew Miller
Dynamic Resource Management of Green Fog Computing for IoT Support, Melody Moh, Teng Sheng Moh, and Mariia Surmenok
Auxiliary-Classifier GAN for Malware Analysis, Rakesh Nagaraju and Mark Stamp
Real-Time Detection of Objects on Roads for Autonomous Vehicles Using Deep Learning, Max Ng, Darshit Jagetiya, Xing Gao, Haoran Shi, Jerry Gao, and Jia Liu
Generative Adversarial Networks for Image-Based Malware Classification, Huy Nguyen
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks, Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon, Sukhdeep Singh, Rahul Banerji, Jeffery H. Reed, Navrati Saxena, and Seungil Yoon
Adversarial Attacks on Android Malware Detection and Classification, Srilekha Nune
Predicting Externally Visible Traits from a DNA Sample for Law Enforcement Applications, Niraj Pandkar
3D Facial Biometric Verification Using a DNA Sample for Law Enforcement Applications, Niraj Pandkar, Teng Sheng Moh, and Mark Barash
Contextualized Vector Embeddings for Malware Detection, Vinay Pandya
Caption And Image Based Next-Word Auto-Completion, Meet Patel
Improving User Experiences for Wiki Systems, Parth Patel
Empirical Evaluation of the Shift and Scale Parameters in Batch Normalization, Yashna Peerthum
Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala
An Overview of Carbon Footprint Mitigation Strategies. Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala and Saritha Podali
Multi-step Prediction using Tree Generation for Reinforcement Learning, Kevin Prakash
Investigating User Information and Social Media Features in Cyberbullying Detection, Jiabao Qiu, Nihar Hegde, Melody Moh, and Teng Sheng Moh
A Software-Circuit-Device Co-Optimization Framework for Neuromorphic Inference Circuits, Paul Quibuyen, Tom Jiao, and Hiu Yung Wong
Darknet Traffic Classification, Nhien Rust-Nguyen
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
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
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
Task Classification during Visual Search with Deep Learning Neural Networks and Machine Learning Methods, Siddartha Thentu
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
