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
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
Exploring the math in Support Vector Machines, Vishnu Pendyala
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
Machine Learning, the mortar of modernization, Vishnu Pendyala
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
A Comparison of Univariate and Multivariate Forecasting Models Predicting Emergency Department Patient Arrivals during the COVID-19 Pandemic, Egbe Etu Etu, Leslie Monplaisir, Sara Masoud, Suzan Arslanturk, Joshua Emakhu, Imokhai Tenebe, Joseph B. Miller, Tom Hagerman, Daniel Jourdan, and Seth Krupp
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
Meta-algorithms in Machine Learning, Vishnu 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
A Preliminary Result of Food Object Detection using Swin Transformer, Daeil Jung, Simon Shim, Charles Choo, Doosung Hwang, Yunmook Nah, and Sejong Oh
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
Constructing Robust and Reliable Health Indices and Improving the Accuracy of Remaining Useful Life Prediction, Yupeng Wei, Dazhong Wu, and Janis Terpenny
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
Use of the deep learning approach to measure alveolar bone level, Chun Teh Lee, Tanjida Kabir, Jiman Nelson, Sally Sheng, Hsiu Wan Meng, Thomas E. Van Dyke, Muhammad F. Walji, Xiaoqian Jiang, and Shayan Shams
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
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
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
Deep learning assisted PM metamaterial design, Anam Abbas, Cheng Qiu, and Feruza Amirkulova
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
Design of Acoustic Metamaterials Using Conditional Wasserstein Generative Adversarial Networks, Feruza A. Amirkulova, Peter Lai, and Diego Soto
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
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
Vision-Based End-to-End Deep Learning for Autonomous Driving in Next-Generation IoT Systems, Dapeng Guo, Melody Moh, and Teng Sheng Moh
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
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
Construction of Semantic Model for GUI of Mobile Applications Using Deep Learning, Qingying Liu, Tao Zhang, Jerry Gao, Shaoying Liu, and Jing Cheng
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
