Submissions from 2025
San Jose Urban Forest – An Open-Source Tree Canopy Surveying and Assessment Tool, Martin Alvarez Lopez, Manan Choksi, Sai Yaaminie Ganda, Vaibhavi Hiteshkumar Savani, and Bernardo Flores
Comparison between Ribosomal Assembly and Machine Learning Tools for Microbial Identification of Organisms with Different Characteristics, Stephanie Chau, Carlos Rojas, Jorjeta G. Jetcheva, Mary Markart, Sudha Vijayakumar, Sophia Yuan, Vincent Stowbunenko, Amanda N. Shelton, and William B. Andreopoulos
Machine Learning Identification of Athlete Sport Type Through ECG Analysis, Lucas B. Cofer, Timothy W. Churchill, Rishi Bhuptani, Aditya Inampudi, Manav Rajvanshi, Bjarni Atlason, Simon S.Y. Shim, Shaan Khurshid, Eugene H. Chung, Aaron Baggish, J. Sawalla Guseh, Kichang Lee, Aaron Baggish, Eugene Chung, Timothy Churchill, Meagan Wasfy, Katie M. Stewart, and Rory Weiner
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models, Anoushka Gade, Jorjeta G. Jetcheva, and Hardi Trivedi
Lightweight Relevance Grader in RAG, Taehee Jeong
Advanced Carbon Monitoring in Agriculture Using Remote Sensing and Machine Learning Techniques, Ann John, Priyanka Bhyregowda, Madhulika Dutta, Sahana Prabhuswamy, Supriya Vasagiri, Jun Liu, and Jerry Gao
Reinforcement Learning-based Robotic Source Seeking in Turbulent Environments Inspired by Fruit Flies, Gauravkumar Koradiya, Vikas Bhandawat, and Wencen Wu
The Impact of Tree Data on Urban Heat Island Mapping: A San José Case Study, Martin Alvarez Lopez and Magdalini Eirinaki
Reinforcement learning-based dynamic field exploration and reconstruction using multi-robot systems for environmental monitoring, Thinh Lu, Divyam Sobti, Deepak Talwar, and Wencen Wu
Soft-Constrained Distributed Cascaded Cooperative Kalman Filter for Mobile Robots in Unknown Advection-Diffusion Field, Scott Mayberry, Ziqiao Zhang, Wencen Wu, and Fumin Zhang
Smart City AI Traffic Cloud - City Traffic Analysis and Monitoring Using AI Models, Yukta Mehta, Aishwarya Ashok, Deepthi Desharaju, Padhmavathy Cebolu Srinivasan, Sowmya Manchikanti, and Jerry Gao
Renewable Electricity Management Cloud System for Smart Communities Using Advanced Machine Learning, Yukta Mehta, Vincent Lo, Vijen Mehta, Kunal Agrawal, Charan Teja Madabathula, Eugene Chang, and Jerry Gao
Special issue on big data computing service and machine learning applications, Katerina Potika, Magdalini Eirinaki, Monica Vitali, Anna Bernasconi, and Hiroyuki Fujioka
Collision Scenario Analysis for Autonomous Vehicles Using Multimodal Deep Learning Models, Johnny Qiu, Lin Zhu, Manyu Zhang, Yuan Pan, Peng Xu, Jerry Gao, and Jun Liu
Domain-Specific Aspect Extraction for Product Design, Divyam Sobti, Mahima Agumbe Suresh, Cristina Tortora, and Vimal Viswanathan
The Vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of Machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamidi, Sriya Vuppalapati, Akshay Vuppalapati, Sharat Kedari, Santosh Kedari, Jaya Vuppalapati, Karthik Kallakur, Koduru Rajasri, and Narendra Lella
Early Detection of Lameness in Dairy Cattle Using Activity Data, Image Analysis, AI and ML - An Approach for Improved Animal Welfare and Economic Impact, Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Sriya Vuppalapati, Sharat Kedari, Santosh Kedari, and Jaya Vuppalapati
How to use social media and artificial intelligence to promote mental health among Chinese and Chinese American college students in the U.S., Ni Zhang, Jingru Guan, Terry Zou, Tianqin Shi, and Kaikai Liu
Integrating Retrieval-Augmented Generation with Large Language Models for Supply Chain Strategy Optimization, Beilei Zhu and Chandrasekar Vuppalapati
Submissions from 2024
Biomedical Relation Extraction Using LLMs and Knowledge Graphs, Pranav Chellagurki, Sai Prasanna Kumar Kumaru, Rahul Raghava Peela, Neeharika Yeluri, Carlos Rojas, and Jorjeta Jetcheva
Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis, Wooyoung Chung, Daniel Polani, and Stas Tiomkin
Secure Communication in the Internet of Drones, Aj Dela Cruz, Scott Locascio, Jasdip Sekhon, Visva Suthar, Jaehyun Lim, and Younghee Park
Message from the General Chairs: IEEE BigDataService 2024, Magdalini Eirinaki, Muhammad Younas, and Fei Wu
Cross-core Data Sharing for Energy-efficient GPUs, Hajar Falahati, Mohammad Sadrosadati, Qiumin Xu, Juan Gómez-Luna, Banafsheh Saber Latibari, Hyeran Jeon, Shaahin Hesaabi, Hamid Sarbazi-Azad, Onur Mutlu, Murali Annavaram, and Masoud Pedram
AI Test Modeling and Analysis for Intelligent Chatbot Mobile App - A Case Study on Wysa, Jerry Gao, Prerna Garsole, Radhika Agarwal, and Shengqiang Liu
Camera-Based Crime Behavior Detection and Classification, Jerry Gao, Jingwen Shi, Priyanka Balla, Akshata Sheshgiri, Bocheng Zhang, Hailong Yu, and Yunyun Yang
General Chair Message: IEEE CISOSE 2024, Jerry Zeyu Gao, Hiroyuki Sato, and Wen Wu
CASA: A Compact and Scalable Accelerator for Approximate Homomorphic Encryption, Pengzhou He, Samira Carolina Oliva Madrigal, Çetin Kaya Koç, Tianyou Bao, and Jiafeng Xie
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems, Derek Lilienthal, Paul Mello, Magdalini Eirinaki, and Stas Tiomkin
Anonymous Traffic Detection Based on Feature Engineering and Reinforcement Learning, Dazhou Liu and Younghee Park
A Real-Time Anonymous Traffic Detection Based on Reinforcement Learning, Dazhou Liu and Younghee Park
Navigating Enterprise Constraints: Building a Hybrid Multi-Modal Mobile Intelligent App, Ketan Malempati, Akshat Gupta, and Kaikai Liu
Detecting Malicious Websites by using Deep Q-Networks, Khanh Nguyen and Younghee Park
The Study of Feature Engineering in Machine Learning and Deep Learning for Network Intrusion Detection Systems, Steven Ning, Khanh Nguyen, Sohini Bagchi, and Younghee Park
Vehicular Traffic Flow Prediction via Decentralized Federated Meta-Learning, Andrew Selvia, Ankur Singh, and Wencen Wu
Enhancing Product Design through AI-Driven Sentiment Analysis of Amazon Reviews Using BERT, Mahammad Khalid Shaik Vadla, Mahima Agumbe Suresh, and Vimal K. Viswanathan
Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems, Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, and Stas Tiomkin
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR, Jing Shu, Bing Jiun Miu, Eugene Chang, Jerry Gao, and Jun Liu
Active Learning in an Upper Division Computer Networks Course, Mahima Agumbe Suresh
Multi-Robot Source Seeking and Field Reconstruction of Spatial-Temporal Varying Fields, Deepak Talwar, Thinh Lu, Divyam Sobti, and Wencen Wu
A reinforcement learning-based approach to testing GUI of moblie applications, Chuanqi Tao, Fengyu Wang, Yuemeng Gao, Hongjing Guo, and Jerry Gao
Data science inscription of the Jyotirlingas!, Chandrasekar Vuppalapati
REDQT: a method for automated mobile application GUI testing based on deep reinforcement learning algorithms, Fengyu Wang, Chuanqi Tao, and Jerry Gao
Enhancing Supply Chain Efficiency Through Retrieve-Augmented Generation Approach in Large Language Models, Beilei Zhu and Chandrasekar Vuppalapati
Data-Driven End-to-End Lighting Automation Based on Human Residential Trajectory Analysis, Jack Zhu, Jingwen Tan, and Wencen Wu
Submissions from 2023
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning, Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, and Rahul V. Kulkarni
Bounding the Optimal Value Function in Compositional Reinforcement Learning, Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, and Rahul V. Kulkarni
Wildfire Progression Prediction and Validation Using Satellite Data and Remote Sensing in Sonoma, California, Daisy Adhikari, Wan Chen, Yunao Guo, Lilin Huang, and Jerry Gao
Bayesian Inference Approach for Entropy Regularized Reinforcement Learning with Stochastic Dynamics, Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, and Rahul V. Kulkarni
Entropy regularized reinforcement learning using large deviation theory, Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, and Rahul V. Kulkarni
Distress Signal Recognition Using Pose Estimation and Neural Networks, Palash Shankar Bhusari, Shreya Nagaraddy Hunur, Ravi Kumar Tanti, Saurabh Ramesh Warathe, and Magdalini Eirinaki
A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning, Robert G. Campbell, Magdalini Eirinaki, and Younghee Park
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
How the COVID-19 pandemic reshaped demographic variation in mental health among diverse engineering student populations, Andrew Danowitz and Kacey Beddoes
Green Energy Cloud -Taxonomy, Infrastructure, Platform, and Services, Jerry Gao, Jane Wu, Jia Liu, and Vani Vineela Aremanda
A Deep Reinforcement Learning-Based Approach for Android GUI Testing, Yuemeng Gao, Chuanqi Tao, Hongjing Guo, and Jerry Gao
A Framework for Autonomous Vehicle Testing Using Semantic Models, Yejun He, Muslim Razi, Jerry Gao, and Chuanqi Tao
Data-Driven Soil Analysis and Evaluation for Smart Farming Using Machine Learning Approaches, Yixin Huang, Rishi Srivastava, Chloe Ngo, Jerry Gao, Jane Wu, and Sen Chiao
Data-Driven Air Quality and Environmental Evaluation for Cattle Farms, Jennifer Hu, Rushikesh Jagtap, Rishikumar Ravichandran, Chitra Priyaa Sathya Moorthy, Nataliya Sobol, Jane Wu, and Jerry Gao
Hybrid IoT System for Emergency Responders, Vidushi Jain and Kaikai Liu
Never Lose Your ECG: A Novel Key Generation and Authentication Scheme for Implantable Medical Devices, Nima Karimian, Gokay Saldamli, Younghee Park, and Victor Lui
A Review for Green Energy Machine Learning and AI Services, Yukta Mehta, Rui Xu, Benjamin Lim, Jane Wu, and Jerry Gao
Reduction-Free Multiplication for Finite Fields and Polynomial Rings, Samira Carolina Oliva Madrigal, Gökay Saldamlı, Chen Li, Yue Geng, Jing Tian, Zhongfeng Wang, and Çetin Kaya Koç
Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure, Arul Palaniappan, Purnima Bhukya, Sai Kiran Chitti, and Jerry Gao
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
Surveillance Drone Cloud and Intelligence Service, Shakshi Richhariya, Kapil Wanaskar, Soumyendra Shrivastava, and Jerry Gao
Mastery Grading in a Software Engineering Course, Carlos Rojas and Gina M. Quan
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
On the sprint length estimation technique in agile software development using planning poker, Sarika Sharma, Deepak Kumar, and Mohamed Fayad
Accident Prediction on E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam, Abhay Naik, and Mahima Agumbe Suresh
Challenges and Experiences in Implementing a Specifications Grading System in an Upper-Division Undergraduate Computer Networks Course, Mahima Agumbe Suresh
Using Graph Neural Networks for Social Recommendations, Dharahas Tallapally, John Wang, Katerina Potika, and Magdalini Eirinaki
Intelligent Emergency Notification Mobile Service via Multi-Task BERT Models, Wenhao Tan, Yanzhou Zhang, and Kaikai Liu
An Optimum Probabilistic Shaping Based Uplink SCMA Codebook Design using Hybrid Firefly-Bat Algorithm, Ramya Thirunavukkarasu, Ramachandran Balasubramanian, and Vidhyacharan Bhaskar
Artificial Intelligence and Advanced Analytics for Food Security, Chandrasekar Vuppalapati
Data Science Inscription of the Jyotirlingas!, Chandrasekar Vuppalapati
Prompt Recommendations for AI Art, Hyelim Yang, Kapil Wanaskar, Harshika Shrivastava, Shahbaz Mansahia, Shakshi Richhariya, and Magdalini Eirinaki
Cooperative Filtering and Parameter Identification for Advection-Diffusion Processes Using a Mobile Sensor Network, Jie You, Ziqiao Zhang, Fumin Zhang, and Wencen Wu
Distributed cooperative Kalman filter constrained by advection–diffusion equation for mobile sensor networks, Ziqiao Zhang, Scott T. Mayberry, Wencen Wu, and Fumin Zhang
Distributed Cooperative Kalman Filter Constrained by Discretized Poisson Equation for Mobile Sensor Networks, Ziqiao Zhang, Scott T. Mayberry, Wencen Wu, and Fumin Zhang
Submissions from 2022
HealthLies: Dataset and Machine Learning Models for Detecting Fake Health News, Garima Chaphekar and Jorjeta G. Jetcheva
Real-time traffic congestion prediction using big data and machine learning techniques, Priyanka Chawla, Rutuja Hasurkar, Chaithanya Reddy Bogadi, Naga Sindhu Korlapati, Rajasree Rajendran, Sindu Ravichandran, Sai Chaitanya Tolem, and Jerry Zeyu Gao
A survey of security and privacy issues in the Internet of Things from the layered context, Samundra Deep, Xi Zheng, Alireza Jolfaei, Dongjin Yu, Pouya Ostovari, and Ali Kashif Bashir
Real-time recommendations for energy-efficient appliance usage in households, Magdalini Eirinaki, Iraklis Varlamis, Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, and Ajinkya Thakare
A Blockchain-Based Retribution Mechanism for Collaborative Intrusion Detection, Wenjun Fan, Shubham Kumar, Sang Yoon Chang, and Younghee Park
An Approach to GUI Test Scenario Generation Using Machine Learning, Jerry Gao, Shi Ting Li, Chuanqi Tao, Yejun He, Amrutha Pavani Anumalasetty, Erica Wilson Joseph, Akshata Hatwar Kumbashi Sripathi, and Himabindu Nayani
Environmental Pollution Analysis and Impact Study-A Case Study for the Salton Sea in California, Jerry Gao, Jia Liu, Rui Xu, Samiksha Pandey, Venkata Sai Kusuma Sindhoora Vankayala Siva, and Dian Yu
Robot Cloud Computing and Al Services - State-of-the-art Solutions, Challenges, and Needs, Jerry Gao and Dayong Wang
Adequate Testing Unmanned Autonomous Vehicle Systems - Infrastructures, Approaches, Issues, Challenges, and Needs, Jerry Gao, Wen Cen Wu, and Oum El Kheir Aktouf
GenEthos: A Synthetic Data Generation System with Bias Detection and Mitigation, Shubham Gujar, Tanishka Shah, Dewen Honawale, Vedant Bhosale, Faizan Khan, Devika Verma, and Rakesh Ranjan
Open Innovation Web-Based Platform for Evaluation of Water Quality Based on Big Data Analysis, Xiaofang Han, Hong Shen, Hongqing Hu, and Jerry Gao
Reversible data hiding scheme based on image partitioning and histogram shifting, Jie Hao, Ping Ping, Xia Peng, and Zeyu Gao
Intelligent Data Communication Technologies and Internet of Things: Proceedings of ICICI 2021, D. Jude Hemanth, Danilo Pelusi, and Chandrasekar Vuppalapati
Blockchain-based recommender systems: Applications, challenges and future opportunities, Yassine Himeur, Aya Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, and George Dimitrakopoulos
Original Music Generation using Recurrent Neural Networks with Self-Attention, Akash Jagannathan, Bharathi Chandrasekaran, Shubham Dutta, Uma Rameshgouda Patil, and Magdalini Eirinaki
Original Music Generation using Recurrent Neural Networks with Self-Attention, Akash Jagannathan, Bharathi Chandrasekaran, Shubham Dutta, Uma Rameshgouda Patil, and Magdalini Eirinaki
Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks, Nikhil Sai Kanuri, Sang Yoon Chang, Younghee Park, Jonghyun Kim, and Jinoh Kim
Accelerated Reward Policy (ARP) for Robotics Deep Reinforcement Learning, Harry Li, Chee Vang, Shifabanu Shaikh, Yusuke Yakuwa, Allen Lee, Nitin Patil, Nisarg Vadher, Zhixuan Zhou, and Shuwen Zheng
A Sensitive Image Encryption Algorithm Based on a Higher-Dimensional Chaotic Map and Steganography, Jinyuan Liu, Yong Wang, Qi Han, and Jerry Gao
Construction of Semantic Model for GUI of Mobile Applications Using Deep Learning, Qingying Liu, Tao Zhang, Jerry Gao, Shaoying Liu, and Jing Cheng
