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 2021
Utilizing CNNs for Object Detection with LiDAR Data for Autonomous Driving, Vinay Ponnaganti, Melody Moh, and Teng Sheng Moh
International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2020, V. Bindhu, João Manuel R.S. Tavares, Alexandros-Apostolos A. Boulogeorgos, and Chandrasekar Vuppalapati
International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2020, V. Bindhu, João Manuel R. S. Tavares, Alexandros-Apostolos A. Boulogeorgos, and Chandrasekar Vuppalapati
Water quality prediction of salton sea using machine learning and big data techniques, Priyanka Chawla, Xiyu Cao, Yichen Fu, Ching min Hu, Meng Wang, Shenquan Wang, and Jerry Zeyu Gao
Digital innovation during covid-19: Transforming challenges to opportunities, Yu Chen and Malu Roldan
Surrogated finite element models using machine learning, Maria Chierichetti, Fatemeh Davoudi, Daniel Huang, and Poojitha Vurturbadarinath
Applications of Surrogate Finite Element Machine Learning Approach for Structural Monitoring, Sam Choppala, Poojhita Vurturbadarinath, Maria Chierichetti, and Fatemeh Davoudi Khaki
Malware classification using long short-term memory models, Dennis Dang, Fabio Di Troia, and Mark Stamp
Stable Machine Learning Knowledge Map Domain Analysis, Mohamed Fayad and Gaurav Kuppa
End-to-End Learning for Autonomous Driving in Secured Smart Cities, Dapeng Guo, Melody Moh, and Teng Sheng Moh
A new dataset for smartphone gesture-based authentication, Elliu Huang, Fabio Di Troia, Mark Stamp, and Preethi Sundaravaradhan
Federated Learning for Object Detection in Autonomous Vehicles, Deepthi Jallepalli, Navya Chennagiri Ravikumar, Poojitha Vurtur Badarinath, Shravya Uchil, and Mahima Agumbe Suresh
Malware classification with word embedding features, Aparna Sunil Kale, Fabio Di Troia, and Mark Stamp
Reducing Industry Complexity with International Standards: Current Efforts for Services, E-commerce, Artificial Intelligence, Stephen K. Kwan and Jim Spohrer
Wildfire Risk Prediction and Detection using Machine Learning in San Diego, California, Ashima Malik, Nasrajan Jalin, Shalu Rani, Priyanka Singhal, Supriya Jain, and Jerry Gao
Data-driven wildfire risk prediction in northern california, Ashima Malik, Megha Rajam Rao, Nandini Puppala, Prathusha Koouri, Venkata Anil Kumar Thota, Qiao Liu, Sen Chiao, and Jerry Gao
Application of Deep Learning in Dynamic Link-Level Virtualization of Cloud Networks Through the Learning Process, Nader F. Mir, Aysha S.H. Basha, and Anirudhha A.K. Tiwari
A Proposed Roadmap to Close the Gap Between Undergraduate Education and STEM Employment Across Industry Sectors, Yassi Moghaddam, Stephen Kwan, Louis Freund, and Martha G. Russell
A multi-analysis approach for estimating regional health impacts from the 2017 Northern California wildfires, Susan M. O’Neill, Minghui Diao, Sean Raffuse, Mohammad Al-Hamdan, Muhammad Barik, Yiqin Jia, Steve Reid, Yufei Zou, Daniel Tong, J. Jason West, Joseph Wilkins, Amy Marsha, Frank Freedman, Jason Vargo, Narasimhan K. Larkin, Ernesto Alvarado, and Patti Loesche
Intrusion Detection and CAN Vehicle Networks, Ashraf Saber, Fabio Di Troia, and Mark Stamp
IoT Checker Using Timing Side-Channel and Machine Learning, Kratika Sahu, Rasika Kshirsagar, Surbhi Vasudeva, Taghreed Alzahrani, and Nima Karimian
Emulation Versus Instrumentation for Android Malware Detection, Anukriti Sinha, Fabio Di Troia, Philip Heller, and Mark Stamp
Reconstructing Classification to Enhance Machine-Learning Based Network Intrusion Detection by Embracing Ambiguity, Chungsik Song, Wenjun Fan, Sang Yoon Chang, and Younghee Park
Camera-Based Security Check for Face Mask Detection using Deep Learning, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, and Jerry Gao
Crop Identification Based on Remote Sensing Data using Machine Learning Approaches for Fresno County, California, Sunanda Das Suchi, Aparna Menon, Ashima Malik, Jie Hu, and Jerry Gao
A Computational Approach to Identify Transcription Factor Binding Sites Containing Spacer Regions, Punithavathi Sundaramurthy, Brandon White, and Wendy Lee
Lost in Translation: What Linguistic Measurements Best Measure Text Quality of Online Listings, Yang Sun, Shaonan Tian, and Ming Zhou
A case study of testing an image recognition application, Chuanqi Tao, Dongyu Cao, Hongjing Guo, and Jerry Gao
Explainable AI-based clinical decision support system for hearing disorders, Katarzyna A. Tarnowska, Brett C. Dispoto, and Jordan Conragan
Designing a Deceptive Comment Detection Platform with a Rule-based Artificial Intelligent Architecture, A. Toplu and H. Liu
Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide, Chandrasekar Vuppalapati
Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide, Chandrasekar Vuppalapati
Crossing the Artificial Intelligence (AI) Chasm, Albeit Ising Constrained IoT Edges and Tiny ML, for Creating a Sustainable Food Future, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sharat Kedari, Raja Vuppalapati, Jaya Vuppalapati, and Santosh Kedari
Application of Machine Learning and Government Finance Statistics for macroeconomic signal mining to analyze recessionary trends and score policy effectiveness, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamaidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, and Jaya Vuppalapati
Theses/Dissertations from 2020
Adaptive Learning Technique For Facial Recognition, Rachana Dineshkumar Bumb
An Evaluation Of Generated Lyrics, Junlan Lu
A Study on the Contributions of Domain-Specific Semantics Towards Aspect-Based Sentiment Analysis, Aashay Mokadam
Dark Matter Classification in Simulated Galaxies Using Machine Learning, Bitha Salimkumar
Transfer Learning for Hyperspectral Images Utilizing Channel Selection Techniques and Ensemble Methods, Scott Daniel Vogel
A NEAT Approach to Malware Classification, Jason Do
END-TO-END LEARNING UTILIZING TEMPORAL INFORMATION FOR VISION- BASED AUTONOMOUS DRIVING, Dapeng Guo
Multi-Agent Deep Reinforcement Learning for Walkers, Inhee Park
LiDAR Object Detection Utilizing Existing CNNs for Smart Cities, Vinay Ponnaganti
Detecting DeepFakes with Deep Learning, Eric C. Tjon
Image Spam Classification with Deep Neural Networks, Ajay Pal Singh and Katerina Potika
Elastic Net to Forecast COVID-19 Cases, Tim K. Johnsen and Jerry Z. Gao
Malware Classification with Gaussian Mixture Model-Hidden Markov Models, Jing Zhao
The Use of Evidential Reasoning Model with Biomarkers in Pancreatic Cancer Prediction, Qianhui Fan
Malware Classification Using LSTMs, Dennis Dang
Quantifying DeepFake Detection Accuracy for a Variety of Natural Settings, Pratikkumar Prajapati
Bioinformatics Metadata Extraction for Machine Learning Analysis, Zachary Tom
Relating Machine Learning to the Real World Learning: Analogies to enhance student comprehension, Vishnu S. Pendyala
An evaluation of machine learning methods for domain name classification, Amit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, and Femi Olumofin
Automating Tiny ML Intelligent Sensors DevOPS Using Microsoft Azure, Chandrasekar Vuppalapati, Anitha Ilapakurti, Karthik Chillara, Sharat Kedari, and Vanaja Mamidi
Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method, Hongjie Yu, Lin Liu, Bo Yang, and Minxuan Lan
The Pandemic of Falsity on Online Social Networks and Plausible Cures from Machine Learning, Vishnu Pendyala
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
