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
IMAGE CLASSIFICATION USING ENSEMBLE MODELING AND DEEP LEARNING, Kaneesha Gandhi
RideShare using Degrees of Separation: A Social Network-Based Approach, Gokul Garikipati
Real Time Panoramic Image Processing, Matthew Gerlits
INTEREST-BASED RECOMMENDATION SYSTEM USING GMAIL TOPIC MODELLING, Pranav Ghaskadbi
ENSEMBLE TRANSFORMER ARCHITECTURE FOR EFFICIENT AND REAL TIME SIGN LANGUAGE TRANSLATION, Sumeet Ghegade
Image Captioning using Reinforcement Learning, Venkat Teja Golamaru
Serverless Architecture for Machine Learning, Ikshaku Goswami
Location and Environment aware mmWave Beam Selection using Vision Transformer, Srajan Gupta
Efficient mmWave Beam Selection using ViTs and GVEC: GPS-based Virtual Environment Capture, Srajan Gupta, Navrati Saxena, Abhishek Roy, and Akshay Ravi
Prediction of 2024 Indian PM Election Results Using Sentiment Analysis on Twitter Data, Surabhi Gupta
Automatic Presentation Slide Generation Using LLMs, Tanya Gupta
SPIDAR: System-level Physics-Informed Detection of Anomalies in Reactors, Ezgi Gursel, Bhavya Reddy, Benjamin Smith, Shahrbanoo Rezaei, Katy Daniels, Jamie Baalis Coble, Mahboubeh Madadi, Vivek Agarwal, Ronald Boring, Vaidav Yadav, and Anahita Khojandi
Deep Learning in AI Medical Imaging for Stroke Diagnosis, James Mario Guzman
Emotions Recognition Using Multimodal Spontaneous Emotion Database and Deep Learning Technology, Shruthi Hassan Sathish
A Framework for Autonomous Vehicle Testing Using Semantic Models, Yejun He, Muslim Razi, Jerry Gao, and Chuanqi Tao
Counter-story in machine learning, Esperanza Huerta Espinosa
Container Caching Optimization based on Explainable Deep Reinforcement Learning, Divyashree Jayaram
The Bias Report: An Automated News Aggregator for Political Bias Classification and News Summarization, Anant Joshi
Malware Classification using Opcode N-grams and Word Embeddings, Siddhita Joshi
Personalized Tweet Recommendation Using Users’ Image Preferences, Shashwat Avinash Kadam
Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of Induction Motors, Fatemeh Davoudi Kakhki and Armin Moghadam
CONTEXT AWARE NEURAL MACHINE TRANSLATION USING GRAPH ENCODERS, Saurabh Kale
Job Tailored Resume Content Generation, Sumedh Kale
Job Tailored Resume Content Generation, Sumedh S. Kale and William B. Andreopoulos
Airport Assignment for Emergency Aircraft using Reinforcement Learning, Saketh Kamatham
NuanceNet: Comparative Analysis of AI in Complex Language Interpretation for Disaster Detection, Pavan Koushik Kommuri
Uncertainty-aware and Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants, Bhavya Reddy Kotla
Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants, Bhavya Reddy Kotla, Ezgi Gursel, Katy Daniels, Anahita Khojandi, Jamie Baalis Coble, Vivek Agarwal, Vaibhav Yadav, Ronald L. Boring, and Mahboubeh Madadi
Spam Comments Detection in YouTube Videos, Priyusha Kotta
Explainable AI for Android Malware Detection, Maithili Kulkarni
Twitter Bot Detection using NLP and Graph Classification, Warada Jayant Kulkarni
Dynamic Predictions of Thermal Heating and Cooling of Silicon Wafer, Hitesh Kumar
Characterizing Sequencing Artifacts, Kathy Thanh Lam
Analyzing Improvement of MASK R-CNN on ARMS plates (and Sponges and Coral), James Lee
Archeota Fall/Winter 2023, Amanda Leung, Benja Thompson, Katrina Williams, Amelia Smith, and Lawrence Lorraine Mullen
Enhancing Malware Detection Using 'Genetic Markers' and Machine Learning, Jaehyun Lim, Quang Duy Tran, and Fabio Di Troia
Siamese Neural Networks for Content-based Visual Art Recommendation, Ran Li, Melody Moh, and Teng Sheng Moh
Detecting the Onion Routing Traffic in Real-Time by using Reinforcement Learning, Dazhou Liu
Resource Coordination Learning for End-to-end Network Slicing Under Limited State Visibility, Xiang Liu
Video Sign Language Recognition using Pose Extraction and Deep Learning Models, Shayla Luong
Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction, Thomas Lu, Albert Lu, and Hiu Yung Wong
Malware Classification using Graph Neural Networks, Manasa Mananjaya
Leveraging Tweets for Rapid Disaster Response Using BERT-BiLSTM-CNN Model, Satya Pranavi Manthena
Influence maximization based on community detection and dominating sets, Ameya Marathe
Practical Battery Design and Control, Naoki Matsumura
A Natural Language Processing Approach to Malware Classification, Ritik Mehta
AI-Assisted Edge Computing for Multi-Tenant Management of Edge Devices in 6G Networks, Nader F. Mir
AI-Driven Management of Dynamic Multi-Tenant Cloud Networks, Nader F. Mir
On Measuring the Degree of Resource Isolation in Elastic Network Slicing, Nitin Datta Movva
Image-Based Malware Classification on Noise Extraction, Venkata Sai Sathwik Nadella
Application of Adversarial Attacks on Malware Detection Models, Vaishnavi Nagireddy
Determining the temporal factors of survival associated with brain and nervous system cancer patients: A hybrid machine learning methodology, Gopal Nath, Austin Coursey, Joseph Ekong, Elham Rastegari, Saptarshi Sengupta, Asli Z. Dag, and Dursun Delen
Cirrus Microphysical Properties and the Controlling Factors Using A Machine Learning Approach, Derek D. Ngo
Generative adversarial networks and image-based malware classification, Huy Nguyen, Fabio Di Troia, Genya Ishigaki, and Mark Stamp
Robust Cache System for Web Search Engine Yioop, Rushikesh Padia
Modeling Sequencing Artifacts in Artificial Low Frequency Cancer Data, Hannele Padre
Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure, Arul Palaniappan, Purnima Bhukya, Sai Kiran Chitti, and Jerry Gao
Image-Based Malware Detection using Convolutional Neural Network Techniques, Brandon Palomino
Very Short-Term Solar Power Forecasting Using a Frequency Incorporated Deep Learning Model, Hossein Panamtash, Shahrzad Mahdavi, Qun Zhou Sun, Guo Jun Qi, Hongrui Liu, and Aleksandar Dimitrovski
NFT Artifact Prediction using Machine Learning, Rishabh Pandey
Malware Detection through Contextualized Vector Embeddings, Vinay Pandya and Fabio Di Troia
Applying Machine Learning on Breast Mass Digitized Images to Predict Breast Cancer, Krishnaveni Parvataneni, Farwa Kazmi, Syed H.A. Kazmi, and Sohail H. Zaidi
AI Framework for Fetal Health Risk Prediction, Krishnaveni Parvataneni, Sohail H. Zaidi, Farwa Kazmi, and Syed H.A. Kazmi
Preface to the Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, and Iraklis Varlamis
Misinformation Containment Using NLP and Machine Learning: Why the Problem Is Still Unsolved, Vishnu S. Pendyala
Analyzing and Addressing Data-driven Fairness Issues in Machine Learning Models used for Societal Problems, Vishnu S. Pendyala and Hyungkyun Kim
XAI-Driven CNN for Diabetic Retinopathy Detection, Vikas Shenoy Pete
Federated Learning for Protecting Medical Data Privacy, Abhishek Reddy Punreddy
Visual Scene Classification using Ensemble of Machine Learning Classifiers, Rahul Ranganath
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
The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews, Bharkavi Sachithanandam, Akbar Siami Namin, and Faranak Abri
2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications, Gangothri Sanil, Krishna Prakash, Srikanth Prabhu, Vinod C. Nayak, and Saptarshi Sengupta
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
Using Machine Learning to Model Potential Users with Health Risk Concerns Regarding Microchip Implants, Shekufeh Shafeie, Mona Mohamed, Tahir Bachar Issa, and Beenish Moalla Chaudhry
The Application of Long Short-Term Memory and Transformers for Music Generation, B. Shanmukh Krishna, Satya Sai Roopa Sree Chiluvuri, Sai Sri Harshini Kosuri, and Sai Sree Harsha Chimbili
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
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles, Sonali Singh, Faranak Abri, and Akbar Siami Namin
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
Intelligent Emergency Notification Mobile Service via Multi-Task BERT Models, Wenhao Tan, Yanzhou Zhang, and Kaikai Liu
Design and Analysis of an FPGA-based CNN for Exercise Recognition, Derrick Trinh, Jonathan Ouyang, and Chang Charles Choo
Deep learning neural machine translation conversational agent, Abhishek Vaid
Generative Artificial Intelligence in Information Systems Education: Challenges, Consequences, and Responses, Craig van Slyke, Richard D. Johnson, and Jalal Sarabadani
Artificial Intelligence and Advanced Analytics for Food Security, Chandrasekar Vuppalapati
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
Script2Graph: Auto-construct Screenplay Text World by Mining Contextual Information, Depei Wang, Lianglun Cheng, Hongwei Liu, Ruihao Li, Huilin Wang, and Hongrui Liu
