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 2023
A Novel Efficient Deep Learning Framework for Facial Inpainting - Face reconstruction from masked images, Akshay Ravi
Analyzing the benthic cover of Crustose Coralline Algae using Mask-R CNN, Rachana Ravindra
Machine Learning-Based Anomaly Detection in Cloud Virtual Machine Resource Usage, Tarun Mourya Satveli
Application of Artificial Intelligence in Detection and Mitigation of Human Factor Errors in Nuclear Power Plants: A Review, Meenu Sethu, Bhavya Kotla, Darrell Russell, Mahboubeh Madadi, Nesar Ahmed Titu, Jamie Baalis Coble, Ronald L. Boring, Klaus Blache, Vivek Agarwal, Vaibhav Yadav, and Anahita Khojandi
Keystroke Dynamics and User Identification, Atharva Sharma
Classification of Darknet Traffic by Application Type, Shruti Sharma
Controllability-Constrained Deep Neural Network Models for Enhanced Control of Dynamical Systems, Suruchi Sharma
Document-Level Machine Translation with Hierarchical Attention, Yu-Tang Shen
Predictive Auto-scaler for Kubernetes Cloud, Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, and Ji Yong Park
SIGN LANGUAGE RECOGNITION USING A HYBRID MACHINE LEARNING MODEL, Peeyusha Shivayogi
Navigating Classic Atari Games with Deep Learning, Ayan Abhiranya Singh
GESTURE RECOGNITION OF SIGN LANGUAGE ALPHABET USING MACHINE LEARNING TECHNIQUES, Gursimran Singh
Concept Drift Detection in Android Malware, Inderpreet Singh
Introduction to Machine Learning with Applications in Information Security (2nd ed.), Mark Stamp
GENDER CLASSIFICATION VIA HUMAN JOINTS USING CONVOLUTIONAL NEURAL NETWORK, Cheng-En Sung
RelationalNet using Graph Neural Networks for Social Recommendations, Dharahas Tallapally
Deep learning neural machine translation conversational agent, Abhishek Vaid
Artificial Intelligence and Advanced Analytics for Food Security, Chandrasekar Vuppalapati
Specialty Crops for Climate Change Adaptation: Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence, Chandrasekar Vuppalapati
Application Of Knowledge Graph Techniques On Textbooks, Yutong Yao
Multi-Label Text Classification with Transfer Learning, Likhitha Yelamanchili
Steganographic Capacity of Selected Machine Learning and Deep Learning Models, Lei Zhang
Reconstructing Auditory Evoked Cortical Response with Fewer Trials, Zoey Y. Zhang
Submissions from 2022
Artificial Intelligence Enabled, Social Media Leveraging Job Matching System for Employers and Applicants, Vishnu Pendyala, Nishtha Atrey, Tina Aggarwal, and Saumya Goyal
Using the metaverse as a digital learning tool to practice simulations in virtual parallel worlds before beginning their service-learning placement, Ángel Ruiz Blanco
Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study, Sambhav Gupta and Yu Chen
A comprehensive artificial intelligence framework for dental diagnosis and charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, and Shayan Shams
Secure human action recognition by encrypted neural network inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, and Shayan Shams
Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother, Guannan Liu, Prasanga Neupane, Hsiao Chun Wu, Weidong Xiang, Limeng Pu, and Shih Yu Chang
Vertical GaN diode BV maximization through rapid TCAD simulation and ML-enabled surrogate model, Albert Lu, Jordan Marshall, Yifan Wang, Ming Xiao, Yuhao Zhang, and Hiu Yung Wong
Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses, Vishnu S. Pendyala, Nupur Yadav, Chetan Kulkarni, and Lokesh Vadlamudi
Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles, Zhaobo Zheng, Kumar Akash, Teruhisa Misu, Vidya Krishnamoorthy, Miaomiao Dong, Yuni Lee, and Gaojian Huang
Out-of-Training-Range Synthetic FinFET and Inverter Data Generation Using a Modified Generative Adversarial Network, Vasu Eranki, Nathan Yee, and Hiu Yung Wong
AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera, Hovannes Kulhandjian
Understanding Sexual and Gender Minority Privacy, Darra Hofman, Michele A. L. Villagran, and Souvick Ghosh
Introduction to Machine Learning with Applications in Information Security: Second Edition, Mark Stamp
The sound of music: from increased personalization to therapeutic values, Ileana Caceres and Souvick Ghosh
TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images, Yasin Ceran, Hamza Ergüder, Katherine Ladner, Sophie Korenfeld, Karina Deniz, Sanyukta Padmanabhan, Phillip Wong, Murat Baday, Thomas Pengo, Emil Lou, and Chirag B. Patel
A perspective on machine learning and data science for strongly correlated electron problems, Steven Johnston, Ehsan Khatami, and Richard Scalettar
Advances in non-invasive biosensing measures to monitor wound healing progression, Walker D. Short, Oluyinka O. Olutoye, Benjamin W. Padon, Umang M. Parikh, Daniel Colchado, Hima Vangapandu, Shayan Shams, Taiyun Chi, Jangwook P. Jung, and Swathi Balaji
Artificial Intelligence and Heuristics for Enhanced Food Security, Chandrasekar Vuppalapati
Use of Machine Learning for Early Detection of Knee Osteoarthritis and Quantifying Effectiveness of Treatment Using Force Platform, Ashish John Prabhakar, Srikanth Prabhu, Aayush Agrawal, Siddhisa Banerjee, Abraham M. Joshua, Yogeesh Dattakumar Kamat, Gopal Nath, and Saptarshi Sengupta
Broadband Acoustic Metamaterial Design via Machine Learning, Thang Tran, Feruza A. Amirkulova, and Ehsan Khatami
Enhanced Algorithmic Job Matching based on a Comprehensive Candidate Profile using NLP and Machine Learning, Vishnu S. Pendyala, Nishtha Atrey, Tina Aggarwal, and Saumya Goyal
Enhancing the Cognition and Efficacy of Machine Learning Through Similarity, Vishnu Pendyala and Rakesh Amireddy
Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes, Lillian R. Aoki; Brendan Rappazzo; Deanna S. Beatty; Lia K. Domke; Ginny L. Eckert; Morgan E. Eisenlord; Olivia J. Graham; Leah Harper; Timothy L. Hawthorne; Margot Hessing-Lewis; Kevin A. Hovel; Zachary L. Monteith; Ryan S. Mueller; Angeleen M. Olson; Carolyn Prentice; John J. Stachowicz; Fiona Tomas; Bo Yang; and For full author list, see comments below
Incorporating a Machine Learning Model into a Web-Based Administrative Decision Support Tool for Predicting Workplace Absenteeism, Gopal Nath, Yawei Wang, Austin Coursey, Krishna K. Saha, Srikanth Prabhu, and Saptarshi Sengupta
Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters, Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta, and Gopal Nath
Data Driven Control of Vagus Nerve Stimulation for the Cardiovascular System: An in Silico Computational Study, Andrew Branen, Yuyu Yao, Mayuresh V. Kothare, Babak Mahmoudi, and Gautam Kumar
Environmental Pollution Analysis and Impact Study-A Case Study for the Salton Sea in California, Jerry Gao, Jia Liu, Rui Xu, Samiksha Pandey, Venkata Sai Kusuma Sindhoora Vankayala Siva, and Dian Yu
Adversarial attacks and defenses in Speaker Recognition Systems: A survey, Jiahe Lan, Rui Zhang, Zheng Yan, Jie Wang, Yu Chen, and Ronghui Hou
Machine Learning for Societal Improvement, Modernization, and Progress, Vishnu S. Pendyala
Unmasking Medical Fake News Using Machine Learning Techniques, Garima Chaphekar
The social life of robots: The politics of algorithms, governance, and sovereignty, Vincent J. Del Casino, Lily House-Peters, Jeremy W. Crampton, and Hannes Gerhardt
Relating Machine Learning to the Real-World: Analogies to Enhance Learning Comprehension, Vishnu S. Pendyala
Machine Learning-Based DRX Mechanism in NR-Unlicensed, Eshita Rastogi, Mukesh Kumar Maheshwari, Abhishek Roy, Navrati Saxena, and Dong Ryeol Shin
The Future is Red: Visualizing Wildfire Predictions using Contactless Interaction, Yoon Chung Han and Amanbeer Khanduja
Multi-modal detection of cyberbullying on Twitter, Jiabao Qiu, Melody Moh, and Teng Sheng Moh
Diel gene expression improves software prediction of cyanobacterial operons, Philip Heller
Objective underpinnings of self-reported sleep quality in middle-aged and older adults: The importance of N2 and wakefulness, Renske Lok, Dwijen Chawra, Flora Hon, Michelle Ha, Katherine A. Kaplan, and Jamie M. Zeitzer
Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021, D. Jude Hemanth, Danilo Pelusi, and Chandrasekar Vuppalapati
Redefining Journalism in an Age of Technological Advancements, Changing Demographics, and Social Issues, Phylis Johnson and Ian Punnett
Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data, Jinwon Kim and Jucheol Moon
Model-based clustering and outlier detection with missing data, Hung Tong and Cristina Tortora
Unsupervised Machine Learning for Pattern Identification in Occupational Accidents, Fatemeh Davoudi Kakhki, Steven Freeman, and Gretchen Mosher
Comparative Study of Decision Tree Models for Bearing Fault Detection and Classification, Armin Moghadam and Fatemeh Davoudi Kakhki
Machine learning to predict sports-related concussion recovery using clinical data, Yan Chu, Gregory Knell, Riley P. Brayton, Scott O. Burkhart, Xiaoqian Jiang, and Shayan Shams
Identification of Distinct Characteristics of Antibiofilm Peptides and Prospection of Diverse Sources for Efficacious Sequences, Bipasa Bose, Taylor Downey, Anand K. Ramasubramanian, and David C. Anastasiu
T-square tensors—Part I: inequalities, Shih Yu Chang and Yimin Wei
Emerging Trends, Issues and Challenges in Machine Learning and Big Data, Vishnu S. Pendyala
Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins, Helgi I. Ingolfsson; Chris Neale; Timothy S. Carpenter; Rebika Shrestha; Cesar A. Lopez; Timothy H. Tran; Tomas Oppelstrup; Harsh Bhatia; Liam G. Stanton; Xiaohua Zhang; Shiv Sundram; Francesco Di Natale; Animesh Agarwal; Gautham Dharuman; Sara I.L. Kokkila Schumacher; Thomas Turbyville; Gulcin Gulten; Que N. Van; and For full author list, see comments below
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms, Mst Shapna Akter, Md Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, and Alfredo Cuzzocrea
BERT for Malware Classification, Joel Alvares and Fabio Di Troia
Twitter Bots’ Detection with Benford’s Law and Machine Learning, Sanmesh Bhosale and Fabio Di Troia
Twitter Bot Detection using Social Network Analysis, Thi Bui and Katerina Potika
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, and Saptarshi Sengupta
Machine Learning-Based Analysis of Free-Text Keystroke Dynamics, Han Chih Chang, Jianwei Li, and Mark Stamp
Machine Learning and Deep Learning for Fixed-Text Keystroke Dynamics, Han Chih Chang, Jianwei Li, Ching Seh Wu, and Mark Stamp
Faking Sensor Noise Information, Justin Chang
HealthLies: Dataset and Machine Learning Models for Detecting Fake Health News, Garima Chaphekar and Jorjeta G. Jetcheva
Real-time traffic congestion prediction using big data and machine learning techniques, Priyanka Chawla, Rutuja Hasurkar, Chaithanya Reddy Bogadi, Naga Sindhu Korlapati, Rajasree Rajendran, Sindu Ravichandran, Sai Chaitanya Tolem, and Jerry Zeyu Gao
Abstractive Text Summarization for Tweets, Siyu Chen
Innovation farm: Teaching artificial intelligence through gamified social entrepreneurship in an introductory MIS course*, Yu Chen, Leslie Jordan Albert, and Scott Jensen
Optimal sensor location along a beam using machine learning, Maria Chierichetti and Fatemeh Davoudi Kakhki
Visual Task Classification using Classic Machine Learning and CNNs, Devangi Vilas Chinchankarame, Noha Elfiky, and Nada Attar
Tracking the Functions of AI as Paradata & Pursuing Archival Accountability, Jeremy Davet, Babak Hamidzadeh, Patricia Franks, and Jenny Bunn
Comparison of Manifold Learning Algorithms for Rapid Circuit Defect Extraction in SPICE-Augmented Machine Learning, Vasu Eranki, Thomas Lu, and Hiu Yung Wong
Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach, Egbe Etu Etu, Leslie Monplaisir, Suzan Arslanturk, Sara Masoud, Celestine Aguwa, Ihor Markevych, and Joseph Miller
An Approach to GUI Test Scenario Generation Using Machine Learning, Jerry Gao, Shi Ting Li, Chuanqi Tao, Yejun He, Amrutha Pavani Anumalasetty, Erica Wilson Joseph, Akshata Hatwar Kumbashi Sripathi, and Himabindu Nayani
Adequate Testing Unmanned Autonomous Vehicle Systems - Infrastructures, Approaches, Issues, Challenges, and Needs, Jerry Gao, Wen Cen Wu, and Oum El Kheir Aktouf
Clickbait Detection for YouTube Videos, Ruchira Gothankar, Fabio Di Troia, and Mark Stamp
GenEthos: A Synthetic Data Generation System with Bias Detection and Mitigation, Shubham Gujar, Tanishka Shah, Dewen Honawale, Vedant Bhosale, Faizan Khan, Devika Verma, and Rakesh Ranjan
Performance Centric Primary Storage Deduplication Systems Exploiting Caching and Block Similarity, Rakesh Gururaj, Melody Moh, Teng Sheng Moh, Philip Shilane, and Bhimsen Bhanjois
Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021, D. Jude Hemanth, Danilo Pelusi, and Chandrasekar Vuppalapati
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication, Elliu Huang, Fabio Di Troia, and Mark Stamp
Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks, Nikhil Sai Kanuri, Sang Yoon Chang, Younghee Park, Jonghyun Kim, and Jinoh Kim
"For Better or Worse": Imagining Innovation in Smart City Municipal Design, Kevin M. Kochever
Prediction of Formation Conditions of Gas Hydrates Using Machine Learning and Genetic Programming, Anupama Kumari, Mukund Madhaw, and Vishnu S. Pendyala
