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.

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Master's Projects from 2023

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CONTEXT AWARE NEURAL MACHINE TRANSLATION USING GRAPH ENCODERS, Saurabh Kale

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Job Tailored Resume Content Generation, Sumedh Kale

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Airport Assignment for Emergency Aircraft using Reinforcement Learning, Saketh Kamatham

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NuanceNet: Comparative Analysis of AI in Complex Language Interpretation for Disaster Detection, Pavan Koushik Kommuri

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Uncertainty-aware and Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants, Bhavya Reddy Kotla

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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

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Spam Comments Detection in YouTube Videos, Priyusha Kotta

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Explainable AI for Android Malware Detection, Maithili Kulkarni

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Twitter Bot Detection using NLP and Graph Classification, Warada Jayant Kulkarni

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Dynamic Predictions of Thermal Heating and Cooling of Silicon Wafer, Hitesh Kumar

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Characterizing Sequencing Artifacts, Kathy Thanh Lam

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Analyzing Improvement of MASK R-CNN on ARMS plates (and Sponges and Coral), James Lee

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Archeota Fall/Winter 2023, Amanda Leung, Benja Thompson, Katrina Williams, Amelia Smith, and Lawrence Lorraine Mullen

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Enhancing Malware Detection Using 'Genetic Markers' and Machine Learning, Jaehyun Lim, Quang Duy Tran, and Fabio Di Troia

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Siamese Neural Networks for Content-based Visual Art Recommendation, Ran Li, Melody Moh, and Teng Sheng Moh

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Detecting the Onion Routing Traffic in Real-Time by using Reinforcement Learning, Dazhou Liu

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Resource Coordination Learning for End-to-end Network Slicing Under Limited State Visibility, Xiang Liu

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Video Sign Language Recognition using Pose Extraction and Deep Learning Models, Shayla Luong

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Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction, Thomas Lu, Albert Lu, and Hiu Yung Wong

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Malware Classification using Graph Neural Networks, Manasa Mananjaya

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Leveraging Tweets for Rapid Disaster Response Using BERT-BiLSTM-CNN Model, Satya Pranavi Manthena

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Influence maximization based on community detection and dominating sets, Ameya Marathe

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Practical Battery Design and Control, Naoki Matsumura

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A Natural Language Processing Approach to Malware Classification, Ritik Mehta

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AI-Assisted Edge Computing for Multi-Tenant Management of Edge Devices in 6G Networks, Nader F. Mir

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AI-Driven Management of Dynamic Multi-Tenant Cloud Networks, Nader F. Mir

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On Measuring the Degree of Resource Isolation in Elastic Network Slicing, Nitin Datta Movva

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Image-Based Malware Classification on Noise Extraction, Venkata Sai Sathwik Nadella

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Application of Adversarial Attacks on Malware Detection Models, Vaishnavi Nagireddy

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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

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Cirrus Microphysical Properties and the Controlling Factors Using A Machine Learning Approach, Derek D. Ngo

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Generative adversarial networks and image-based malware classification, Huy Nguyen, Fabio Di Troia, Genya Ishigaki, and Mark Stamp

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Robust Cache System for Web Search Engine Yioop, Rushikesh Padia

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Modeling Sequencing Artifacts in Artificial Low Frequency Cancer Data, Hannele Padre

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Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure, Arul Palaniappan, Purnima Bhukya, Sai Kiran Chitti, and Jerry Gao

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Image-Based Malware Detection using Convolutional Neural Network Techniques, Brandon Palomino

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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

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NFT Artifact Prediction using Machine Learning, Rishabh Pandey

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Malware Detection through Contextualized Vector Embeddings, Vinay Pandya and Fabio Di Troia

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Applying Machine Learning on Breast Mass Digitized Images to Predict Breast Cancer, Krishnaveni Parvataneni, Farwa Kazmi, Syed H.A. Kazmi, and Sohail H. Zaidi

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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

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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

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XAI-Driven CNN for Diabetic Retinopathy Detection, Vikas Shenoy Pete

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Federated Learning for Protecting Medical Data Privacy, Abhishek Reddy Punreddy

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Visual Scene Classification using Ensemble of Machine Learning Classifiers, Rahul Ranganath

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A Novel Efficient Deep Learning Framework for Facial Inpainting - Face reconstruction from masked images, Akshay Ravi

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Analyzing the benthic cover of Crustose Coralline Algae using Mask-R CNN, Rachana Ravindra

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The Performance of Machine and Deep Learning Algorithms in Detecting Fake Reviews, Bharkavi Sachithanandam, Akbar Siami Namin, and Faranak Abri

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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

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Machine Learning-Based Anomaly Detection in Cloud Virtual Machine Resource Usage, Tarun Mourya Satveli

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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

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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

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Keystroke Dynamics and User Identification, Atharva Sharma

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Classification of Darknet Traffic by Application Type, Shruti Sharma

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Controllability-Constrained Deep Neural Network Models for Enhanced Control of Dynamical Systems, Suruchi Sharma

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Document-Level Machine Translation with Hierarchical Attention, Yu-Tang Shen

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Predictive Auto-scaler for Kubernetes Cloud, Simon Shim, Ankit Dhokariya, Devangi Doshi, Sarvesh Upadhye, Varun Patwari, and Ji Yong Park

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SIGN LANGUAGE RECOGNITION USING A HYBRID MACHINE LEARNING MODEL, Peeyusha Shivayogi

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Navigating Classic Atari Games with Deep Learning, Ayan Abhiranya Singh

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GESTURE RECOGNITION OF SIGN LANGUAGE ALPHABET USING MACHINE LEARNING TECHNIQUES, Gursimran Singh

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Concept Drift Detection in Android Malware, Inderpreet Singh

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Introduction to Machine Learning with Applications in Information Security (2nd ed.), Mark Stamp

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GENDER CLASSIFICATION VIA HUMAN JOINTS USING CONVOLUTIONAL NEURAL NETWORK, Cheng-En Sung

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RelationalNet using Graph Neural Networks for Social Recommendations, Dharahas Tallapally

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Intelligent Emergency Notification Mobile Service via Multi-Task BERT Models, Wenhao Tan, Yanzhou Zhang, and Kaikai Liu

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Design and Analysis of an FPGA-based CNN for Exercise Recognition, Derrick Trinh, Jonathan Ouyang, and Chang Charles Choo

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Deep learning neural machine translation conversational agent, Abhishek Vaid

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Generative Artificial Intelligence in Information Systems Education: Challenges, Consequences, and Responses, Craig van Slyke, Richard D. Johnson, and Jalal Sarabadani

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Artificial Intelligence and Advanced Analytics for Food Security, Chandrasekar Vuppalapati

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Artificial Intelligence and Advanced Analytics for Food Security, Chandrasekar Vuppalapati

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Specialty Crops for Climate Change Adaptation: Strategies for Enhanced Food Security by Using Machine Learning and Artificial Intelligence, Chandrasekar Vuppalapati

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Cloud Phase Distribution at a Global-Scale and the Governing Factors Using Satellite and In-Situ Airborne Observations, Dao Wang

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Script2Graph: Auto-construct Screenplay Text World by Mining Contextual Information, Depei Wang, Lianglun Cheng, Hongwei Liu, Ruihao Li, Huilin Wang, and Hongrui Liu

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Bird Species Identification from Audio Data, Ching Seh Wu, Sasanka Kosuru, and Samaikya Tippareddy

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Reinforcement Learning-Based Multi-Domain Network Slice Provisioning, Zhouxiang Wu, Genya Ishigaki, Riti Gour, Congzhou Li, Feng Mi, Subhash Talluri, and Jason P. Jue

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Application Of Knowledge Graph Techniques On Textbooks, Yutong Yao

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Rapid Inverse Design of GaN-on-GaN Diode with Guard Ring Termination for BV and (VFQ)-1Co-Optimization, Nathan Yee, Albert Lu, Yifan Wang, Matthew Porter, Yuhao Zhang, and Hiu Yung Wong

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Multi-Label Text Classification with Transfer Learning, Likhitha Yelamanchili

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Steganographic Capacity of Selected Machine Learning and Deep Learning Models, Lei Zhang

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Reconstructing Auditory Evoked Cortical Response with Fewer Trials, Zoey Y. Zhang

Submissions from 2022

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Artificial Intelligence Enabled, Social Media Leveraging Job Matching System for Employers and Applicants, Vishnu Pendyala, Nishtha Atrey, Tina Aggarwal, and Saumya Goyal

Using the metaverse as a digital learning tool to practice simulations in virtual parallel worlds before beginning their service-learning placement, Ángel Ruiz Blanco

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Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study, Sambhav Gupta and Yu Chen

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A comprehensive artificial intelligence framework for dental diagnosis and charting, Tanjida Kabir, Chun Teh Lee, Luyao Chen, Xiaoqian Jiang, and Shayan Shams

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Secure human action recognition by encrypted neural network inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, and Shayan Shams

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Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother, Guannan Liu, Prasanga Neupane, Hsiao Chun Wu, Weidong Xiang, Limeng Pu, and Shih Yu Chang

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Vertical GaN diode BV maximization through rapid TCAD simulation and ML-enabled surrogate model, Albert Lu, Jordan Marshall, Yifan Wang, Ming Xiao, Yuhao Zhang, and Hiu Yung Wong

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Towards building a Deep Learning based Automated Indian Classical Music Tutor for the Masses, Vishnu S. Pendyala, Nupur Yadav, Chetan Kulkarni, and Lokesh Vadlamudi

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Identification of Adaptive Driving Style Preference through Implicit Inputs in SAE L2 Vehicles, Zhaobo Zheng, Kumar Akash, Teruhisa Misu, Vidya Krishnamoorthy, Miaomiao Dong, Yuni Lee, and Gaojian Huang

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Out-of-Training-Range Synthetic FinFET and Inverter Data Generation Using a Modified Generative Adversarial Network, Vasu Eranki, Nathan Yee, and Hiu Yung Wong

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AI-based Pedestrian Detection and Avoidance at Night using an IR Camera, Radar, and a Video Camera, Hovannes Kulhandjian

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Understanding Sexual and Gender Minority Privacy, Darra Hofman, Michele A. L. Villagran, and Souvick Ghosh

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Introduction to Machine Learning with Applications in Information Security: Second Edition, Mark Stamp

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The sound of music: from increased personalization to therapeutic values, Ileana Caceres and Souvick Ghosh

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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

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A perspective on machine learning and data science for strongly correlated electron problems, Steven Johnston, Ehsan Khatami, and Richard Scalettar

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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

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Artificial Intelligence and Heuristics for Enhanced Food Security, Chandrasekar Vuppalapati