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 2021
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
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
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
Designing Human-Computer Conversational Systems using Needs Hierarchy, Souvick Ghosh
Human/Artificial Intelligence Coordination in Video Games, Michael Rodriguez
Advancements in the Field of Reinforcement Learning, Apoorva Sunil Banubakode
Physics-Based Modeling of Phase-Change Memory Devices and Materials, Johan Saltin
Airbnb Price Prediction with Sentiment Classification, Peilu Liu
The Role of Social Media in Policy Formulation Improvement in California, Khoi Minh Nguyen
Fast streaming translation using machine learning with transformer, Jiabao Qiu, Melody Moh, and Teng Sheng Moh
Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs), Stephen Arhin, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba
Study of ReRAM Neuromorphic Circuit Inference Accuracy Robustness using DTCO Simulation Framework, Hoang Cao, Thanh Lam, Hoi Nguyen, Ayyaswamy Venkattraman, David Parent, and Hiu Yung Wong
Classifying Speech Acts using Multi-channel Deep Attention Network for Task-oriented Conversational Search Agents, Souvick Ghosh and Satanu Ghosh
An intelligent mobile application testing experience report, Chi Thi Phuong Tran, Mohana Gudur Valmiki, Guoyan Xu, and Jerry Zeyu Gao
A machine learning approach as a surrogate for a finite element analysis: Status of research and application to one dimensional systems, Poojitha Vurtur Badarinath, Maria Chierichetti, and Fatemeh Davoudi Kakhki
A deep learning approach to downscale geostationary satellite imagery for decision support in high impact wildfires, Nicholas F. McCarthy, Ali Tohidi, Yawar Aziz, Matt Dennie, Mario Miguel Valero, and Nicole Hu
Prediction of elastic stresses in porous materials using fully convolutional networks, Özgür Keleṣ, Yinchuan He, and Birsen Sirkeci-Mergen
Hybrid Cloud Workload Monitoring as a Service, Shreya Kundu
Prediction of FinFET Current-Voltage and Capacitance-Voltage Curves Using Machine Learning with Autoencoder, Kashyap Mehta and Hiu Yung Wong
Data-Driven Fault Classification Using Support Vector Machines, Deepthi Jallepalli and Fatemeh Davoudi Kakhki
Democratization of Artificial Intelligence for the Future of Humanity, Chandrasekar Vuppalapati
Democratization of Artificial Intelligence for the Future of Humanity, Chandrasekar Vuppalapati
ECG Biometric Spoofing Using Adversarial Machine Learning, Amit Garg and Nima Karimian
Leveraging Timing Side-Channel Information and Machine Learning for IoT Security, Kratika Sahu, Rasika Kshirsagar, Surbhi Vasudeva, Taghreed Alzahrani, and Nima Karimian
Learning for Free: Object Detectors Trained on Synthetic Data, Charles Thane MacKay and Teng Sheng Moh
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
