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
BASE STATION LOAD PREDICTION IN 5G-V2X HANDOVER, Madhujita Ranjit Ambaskar
ACOUSTIC CLOAK DESIGN VIA GRADIENT-BASED OPTIMIZATION, Angel Avina, Samer Gerges, Feruza A. Amirkulova, and Winncy Du
Prediction of Thrombin Inhibitor Peptides from Various Habitats Using Machine Learning, Nivedha Balakrishnan
Graph Deep Learning Based Hashtag Recommender for Reels on Social Media, Sriya Balineni
Graph deep learning hashtag recommender for reels, Sriya Balineni and William B. Andreopoulos
Hate Speech Detection in Hindi, Pranjali Prakash Bansod
Bias Detector Tool for Face Datasets using Image Recognition, Jatin Vamshi Battu
Enhancing Deep Learning Classifiers for Dynamic Keystroke Authentication via GANs, Jonathan A. Bazan
Visualizing classification errors and mislabeling in machine learning, Vedashree Bhandare
Distress Signal Recognition Using Pose Estimation and Neural Networks, Palash Shankar Bhusari, Shreya Nagaraddy Hunur, Ravi Kumar Tanti, Saurabh Ramesh Warathe, and Magdalini Eirinaki
Classifying Real and Bot Users Based on their News Spread for Combating Misinformation, Thi Bui, Anson Pham, Warada Kulkarni, Yutong Yao, and Katerina Potika
Detecting Twitter Bots with Machine Learning and Propagation Graph Analysis, Thi Bui and Katerina Potika
Enhancing Driver Distraction Detection Through the Synergy of Deep and Traditional Machine Learning, Gowtham Chandrasekaran
Gesture Recognition with Deep Learning, Chaz Chang
An interactive web-based solar energy prediction system using machine learning techniques, Priyanka Chawla, Jerry Zeyu Gao, Teng Gao, Chengchen Luo, Huimin Li, and Yiqin We
Yelp Restaurant Popularity Score Calculator, Sneh Bindesh Chitalia
Editorial: The governance of artificial intelligence in the “autonomous city”, Federico Cugurullo, Sarah Barns, Vincent J. Del Casino, Natalie M. Gulsrud, Tan Yigitcanlar, and Xiaoling Zhang
WIKIPEDIA WEB TABLE INTERPRETATION, KEYWORD-BASED SEARCH, AND RANKING, Kartikee Dabir
Classifying World War II Era Ciphers with Machine Learning, Brooke Dalton
Archivist in the machine: paradata for AI-based automation in the archives, Jeremy Davet, Babak Hamidzadeh, and Patricia Franks
ML-Based User Authentication Through Mouse Dynamics, Sai Kiran Davuluri
Enhancing Facial Emotion Recognition Using Image Processing with CNN, Sourabh Deokar
Estimating Air Pollution Levels Using Machine Learning, Srujay Rao Devaraneni
Comparative Analysis of Transformer-Based Models for Text-To-Speech Normalization, Pankti Dholakia
Fintech adoption dynamics in a pandemic: An experience from some financial institutions in Nigeria during COVID-19 using machine learning approach, Onome Christopher Edo, Egbe Etu Etu, Imokhai Tenebe, Oluwarotimi Samuel Oladele, Solomon Edo, Oladapo Ayodeji Diekola, and Joshua Emakhu
Automatic TCAD Model Parameter Calibration using Autoencoder, Matthew Eng and Hiu Yung Wong
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
