Submissions from 2024
Reinforcement Learning based Proactive Entanglement Swapping for Quantum Networks, Tasdiqul Islam, Md Arifuzzaman, and Engin Arslan
Doing Personal Laps: Llm-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search, Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. De Vries, Jeff Dalton, and Faegheh Hasibi
Effective Data Sharing in an Edge-Cloud Model: Security Challenges and Solutions, Arijit Karati and Sajal K. Das
Improved Algorithms for Co-Scheduling of Edge Analytics and Routes for Uav Fleet Missions, Aakash Khochare, Francesco Betti Sorbelli, Yogesh Simmhan, and Sajal K. Das
Energy Consumption Optimization Of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning, Xiangjie Kong, Chenhao Ni, Gaohui Duan, Guojiang Shen, Yao Yang, and Sajal K. Das
Federated Graph Anomaly Detection Via Contrastive Self-Supervised Learning, Xiangjie Kong, Wenyi Zhang, Hui Wang, Mingliang Hou, Xin Chen, Xiaoran Yan, and Sajal K. Das
Maximizing Network throughput in Heterogeneous UAV Networks, Shuyue Li, Jing Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Ziming Wang, Weifa Liang, Xinwei Yao, Xiaohua Jia, and Sajal K. Das
AI Trustworthy: Ethical Challenges and Strategies, Jian Liu, Iwan Sandjaja, and Donald C. Wunsch
Multi-parametric Analysis for Mixed Integer Linear Programming: An Application to Transmission Upgrade and Congestion Management, Jian Liu, Donald C. Wunsch, Siyuan Wang, and Rui Bo
Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram, Nathan Lutes, V. Sriram Siddhardh Nadendla, and K. Krishnamurthy
Trusted Digital Twin Network for Intelligent Vehicles, Asad Malik, Ayan Roy, and Sanjay Madria
Meta-ICVI: Ensemble Validity Metrics For Concise Labeling Of Correct, Under- Or Over-Partitioning In Streaming Clustering, Niklas M. Melton, Sasha Petrenko, and Donald C. Wunsch
Resource Aware Clustering For Tackling The Heterogeneity Of Participants In Federated Learning, Rahul Mishra, Hari Prabhat Gupta, Garvit Banga, and Sajal K. Das
Real-Time Analysis of Encrypted DNS Traffic for Threat Detection, Marta Moure-Garrido, Sajal K. Das, Celeste Campo, and Carlos Garcia-Rubio
Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision, Yasmine Mustafa and Tony Tie Luo
A Hypergraph Approach to Deep Learning based Routing in Software-Defined Vehicular Networks, Ankur Nahar, Nishit Bhardwaj, Debasis Das, and Sajal K. Das
Lifelong Direct Error-Driven Learning for UAV Altitude Estimation in Different Weather Conditions, Shirin Nasr-Esfahani and Jagannathan Sarangapani
Unsafe Events Detection in Smart Water Meter Infrastructure Via Noise-Resilient Learning, Ayanfeoluwa Oluyomi, Sahar Abedzadeh, Shameek Bhattacharjee, and Sajal K. Das
Achieving Efficient and Privacy-Preserving Reverse Skyline Query over Single Cloud, Yubo Peng, Xiong Li, Ke Gu, Jinjun Chen, Sajal K. Das, and Xiaosong Zhang
Analyzing Biomedical Datasets With Symbolic Tree Adaptive Resonance Theory, Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, and Donald C. Wunsch
Mobility Management In TSCH-Based Industrial Wireless Networks, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi
Deep Learning for UAV Detection and Classification Via Radio Frequency Signal Analysis, Prajoy Podder, MacIej Zawodniok, and Sanjay Madria
Adaptive Critic Optimal Control of an Uncertain Robot Manipulator with Applications, Ravi Prakash, Laxmidhar Behera, and Sarangapani Jagannathan
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks, Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, and Samuel Frimpong
A Reputation System for Provably-Robust Decision Making in IoT Blockchain Networks, Charles C. Rawlins, Sarangapani Jagannathan, and Venkata Sriram Siddhardh Nadendla
Predicting IoT Distributed Ledger Fraud Transactions with a Lightweight GAN Network, Charles Rawlins and Jagannathan Sarangapani
Survey of Hidden Markov Models (HMMs) for Sign Language Recognition (SLR), Iwan Sandjaja, Ahmad Alsharoa, Donald Wunsch, and Jian Liu
Landmark-Based Localization using Stereo Vision and Deep Learning in Gps-Denied Battlefield Environment, Ganesh Sapkota and Sanjay Madria
POSCA: Path Optimization for Solar Cover Amelioration in Urban Air Mobility, Debjyoti Sengupta, Anurag Satpathy, and Sajal K. Das
Service Recommendation in Jointcloud Environments: An Efficient Regret Theory-Based Qos-Aware Approach, Jianzhi Shi, Rou Rao, Yang Song, Xingwei Wang, Bo Yi, Qiang He, Chao Zeng, Min Huang, and Sajal K. Das
Smart Connected Farms and Networked Farmers to Improve Crop Production, Sustainability and Profitability, Asheesh K. Singh, Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Amit Jha, Jorge C. Martinez-Palomares, Kevin Menke, Aaron Prestholt, Vishesh K. Tanwar, Xu Tao, Anusha Vangala, Matthew E. Carroll, Sajal K. Das, and Guilherme DePaula
Splitfed-Based Patient Severity Prediction And Utility Maximization In Industrial Healthcare 4.0, Himanshu Singh, Biken Moirangthem, Ajay Pratap, Shilpi Kumari, Abhishek Kumar, and Sajal K. Das
Optimizing UAV-Assisted Data Collection in IoT Sensor Networks using Dual Cluster Head Strategy, Keiwan Soltani, Federico Coro, and Sajal K. Das
Personalized Federated Graph Learning On Non-IID Electronic Health Records, Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, and Sajal K. Das
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement, Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddardh Nadendla, and Casey I. Canfield
Undeniable Authentication of Digital Twin-managed Smart Microfactory, Anusha Vangala, Ashok Kumar Das, and Sajal K. Das
LEASE: Leveraging Energy-Awareness in Serverless Edge for Latency-Sensitive IoT Services, Aastik Verma, Anurag Satpathy, Sajal K. Das, and Sourav Kanti Addya
SmartGrid-NG: Blockchain Protocol For Secure Transaction Processing In Next Generation Smart Grid, Lokendra Vishwakarma, Debasis Das, Sajal K. Das, and Christian Becker
Online Dynamic Path Planner for Uavs, Manisha Wadhwa, Neelima Gupta, and Sanjay Madria
Learning from the Past: using Peer Data to Improve Course Recommendations in Personalized Education, Colton Walker, Sahra Sedigh Sarvestani, and Ali R. Hurson
Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation, Guangjing Wang, Hanqing Guo, Yuanda Wang, Bocheng Chen, Ce Zhou, and Qiben Yan
Decoding Emotions: Unveiling Facial Expressions through Acoustic Sensing with Contrastive Attention, Guangjing Wang, Juexing Wang, Ce Zhou, Weikang Ding, Huacheng Zeng, Tianxing Li, and Qiben Yan
Approximation Algorithm and Applications for Connected Submodular Function Maximization Problems, Ziming Wang, Jing Li, He Xue, Wenzheng Xu, Weifa Liang, Zichuan Xu, Jian Peng, Pan Zhou, Xiaohua Jia, and Sajal K. Das
CR-SAM: Curvature Regularized Sharpness-Aware Minimization, Tao Wu, Tony Tie Luo, and Donald C. Wunsch
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate, Tao Wu, Tony Tie Luo, and Donald C. Wunsch
Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game, Lei Xue, Jianfeng Ye, Yongbao Wu, Jian Liu, and D. C. Wunsch
Collect Spatiotemporally Correlated Data In IoT Networks With An Energy-Constrained UAV, Wenzheng Xu, Heng Shao, Qunli Shen, Jian Peng, Wen Huang, Weifa Liang, Tang Liu, Xin Wei Yao, Tao Lin, and Sajal K. Das
Approximation Algorithm for Connected Submodular Function Maximization Problems, Wenzheng Xu, He Xue, Jing Li, Weifa Liang, Zichuan Xu, Pan Zhou, Xiaohua Jia, and Sajal K. Das
Towards Fine-Gained Services: NFV-Assisted Tracking And Positioning Using Micro-Services For Multi-Robot Cooperation, Bo Yi, Lin Qiu, Jianhui Lv, Yingpu Nian, Xingwei Wang, and Sajal K. Das
Traffic Prediction-Based VNF Auto-Scaling and Deployment Mechanism for Flexible and Elastic Service Provision, Bo Yi, Jiacheng Wang, Qiang He, Xingwei Wang, Min Huang, Sajal k. Das, and Keqin Li
RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing, Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, and Seung Jong Park
Freyr⁺: Harvesting Idle Resources in Serverless Computing Via Deep Reinforcement Learning, Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, and Seung Jong Park
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT, Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, and Lichao Sun
Optical Lens Attack on Deep Learning Based Monocular Depth Estimation, Ce Zhou, Qiben Yan, Daniel Kent, Guangjing Wang, Ziqi Zhang, and Haydar Radha
Submissions from 2023
Geo-distributed Multi-tier Workload Migration Over Multi-timescale Electricity Markets, Sourav Kanti Addya, Anurag Satpathy, Bishakh Chandra Ghosh, Sandip Chakraborty, Soumya K. Ghosh, and Sajal K. Das
Neuemot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 Fifa World Cup Via Low-Level Emotion, Ademola Adesokan and Sanjay Madria
HatEmoTweet: Low-level Emotion Classifications And Spatiotemporal Trends Of Hate And Offensive COVID-19 Tweets, Ademola Adesokan, Sanjay Kumar Madria, and Long Nguyen
Tweetace: A Fine-Grained Classification of Disaster Tweets using Transformer Model, Ademola Adesokan, Sanjay Madria, and Long Nguyen
Use Only What You Need: Judicious Parallelism for File Transfers in High Performance Networks, Md Arifuzzaman and Engin Arslan
Dispatching Point Selection For A Drone-based Delivery System Operating In A Mixed Euclidean–Manhattan Grid, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti, and Anil Shende
Building a Unified Data Falsification Threat Landscape for Internet of Things/Cyberphysical Systems Applications, Shameek Bhattacharjee and Sajal K. Das
Information Integrity In Participatory Crowd-Sensing Via Robust Trust Models, Shameek Bhattacharjee and Sajal K. Das
Unifying Threats Against Information Integrity In Participatory Crowd Sensing, Shameek Bhattacharjee and Sajal K. Das
Emotional Health and Climate-Change-Related Stressor Extraction from Social Media: A Case Study using Hurricane Harvey, Thanh Bui, Andrea Hannah, Sanjay Madria, Rosemary Nabaweesi, Eugene Levin, Michael Wilson, and Long Nguyen
Towards a Domain-Agnostic Knowledge Graph-As-A-Service Infrastructure for Active Cyber Defense with Intelligent Agents, Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Sriram Siddhardh Nadendla, Sanjay Kumar Madria, Sajal K. Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Lal Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Othmane, and Meng Yu
Real-Time Human-Computer Interaction using Eye Gazes, Haodong Chen, Niloofar Zendehdel, Ming-Chuan Leu, and Zhaozheng Yin
Catching Elusive Depression Via Facial Micro-Expression Recognition, Xiaohui Chen and Tony Tie (T.) Luo
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing, Ronit Das and Tie (Tony) T. Luo
Sigmoid Activation-Based Long Short-Term Memory for Time Series Data Classification, Sajal Das
Foreword by Sajal K. Das, Sajal K. Das
Welcome From General Chairs, Sajal K. Das and Wen Zhan Song
BITS 2023 Welcome Message From General Chairs And TPC Chairs, Sajal K. Das, Keiichi Yasumoto, Hayato Yamana, and Shameek Bhattacharjee
Detecting Mental Distresses Using Social Behavior Analysis In The Context Of COVID-19: A Survey, Sahraoui Dhelim, Liming Chen, Sajal K. Das, Huansheng Ning, Chris Nugent, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White, and Devin Michael Burns
Ecir 23 Tutorial: Neuro-Symbolic Approaches for Information Retrieval, Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Edgar Meij, and Arjen de Vries
Neuro-Symbolic Representations for Information Retrieval, Laura Dietz, Hannah Bast, Shubham Chatterjee, Jeff Dalton, Jian Yun Nie, and Rodrigo Nogueira
Optimizing Federated Learning In LEO Satellite Constellations Via Intra-Plane Model Propagation And Sink Satellite Scheduling, Mohamed Elmahallawy and Tie (Tony) T. Luo
One-Shot Federated Learning For LEO Constellations That Reduces Convergence Time From Days To 90 Minutes, Mohamed Elmahallawy and Tie (Tony) Tie Luo
Continual Reinforcement Learning Formulation For Zero-Sum Game-Based Constrained Optimal Tracking, Behzad Farzanegan and Sarangapani Jagannathan
Continual Learning-Based Optimal Output Tracking of Nonlinear Discrete-Time Systems with Constraints: Application to Safe Cargo Transfer, Behzad Farzanegan and S. (Sarangapani) Jagannathan
Optimal Tracking Of Nonlinear Discrete-time Systems Using Zero-Sum Game Formulation And Hybrid Learning, Behzad Farzanegan and S. (Sarangapani) Jagannathan
Lifelong Learning-Based Multilayer Neural Network Control of Nonlinear Continuous-Time Strict-Feedback Systems, Irfan Ahmad Ganie and S. (Sarangapani) Jagannathan
Continual Optimal Adaptive Tracking Of Uncertain Nonlinear Continuous-time Systems Using Multilayer Neural Networks, Irfan Ganie and S. (Sarangapani) Jagannathan
Lifelong Learning Control of Nonlinear Systems with Constraints using Multilayer Neural Networks with Application to Mobile Robot Tracking, Irfan Ganie and S. (Sarangapani) Jagannathan
A Dtn-Based Spatio-Temporal Routing using Location Prediction Model in Underground Mines, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong
Demo-Abstract: A DTN System For Tracking Miners Using GAE-LSTM And Contact Graph Routing In An Underground Mine, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong
Fedar+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Environments, Ashish Gupta, Hari Prabhat Gupta, and Sajal K. Das
FedAR+: A Federated Learning Approach To Appliance Recognition With Mislabeled Data In Residential Environments, Ashish Gupta, Hari Prabhat Gupta, and Sajal K. Das
Is Performance Fairness Achievable in Presence of Attackers under Federated Learning?, Ashish Gupta, George Markowsky, and Sajal K. Das
Is Performance Fairness Achievable In Presence Of Attackers Under Federated Learning?, Ashish Gupta, George Markowsky, and Sajal K. Das
QC-SANE: Robust Control in DRL using Quantile Critic with Spiking Actor and Normalized Ensemble, Surbhi Gupta, Gaurav Singal, Deepak Garg, and Sarangapani Jagannathan
SmartLens: Robust Detection Of Rogue Device Via Frequency Domain Features In LoRa-Enabled IIoT, Subir Halder, Amrita Ghosal, Thomas Newe, and Sajal K. Das
Message From The IEEE MDM 2023 Test-of-Time Committee, Christian S. Jensen, Sanjay Kumar Madria, and Timos Sellis
Fedfast: Selective Federated Learning using Fittest Parameters Aggregation and Slotted Clients Training, Ferdinand Kahenga, Antoine Bagula, and Sajal K. Das
A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das
A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das
A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das
A Parallel Algorithm For Updating A Multi-objective Shortest Path In Large Dynamic Networks, Arindam Khanda, S. M. Shovan, and Sajal K. Das
Edge-Computing-Driven Internet of Things: A Survey, Linghe Kong, Jinlin Tan, Junqin Huang, Guihai Chen, Shuaitian Wang, Xi Jin, Peng Zeng, Muhammad Khan, and Sajal K. Das
Rate-Monotonic Scheduler For LoRa-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, and Rahul Bansal
Disagreement Matters: Exploring Internal Diversification For Redundant Attention In Generic Facial Action Analysis, Xiaotian Li, Zheng Zhang, Xiang Zhang, Taoyue Wang, Zhihua Li, Huiyuan Yang, Umur Ciftci, Qiang Ji, Jeffrey Cohn, and Lijun Yin
