Submissions from 2024
Curd: Context-Aware Relevance and Urgency Determination, Ademola Adesokan and Sanjay Kumar Madria
BLIND: A Privacy Preserving Truth Discovery System For Mobile Crowdsensing, Vincenzo Agate, Pierluca Ferraro, Giuseppe Lo Re, and Sajal K. Das
Secure Location-Based Authenticated Key Establishment Scheme for Maritime Communication, Saurabh Agrawal, Anusha Vangala, Ashok Kumar Das, Neeraj Kumar, Sachin Shetty, and Sajal K. Das
MOVE: Matching Game for Partial Offloading in Vehicular Edge Computing, Mahmuda Akter, Debjyoti Sengupta, Anurag Satpathy, and Sajal Das
Role Of IoT Technologies In Big Data Management Systems: A Review And Smart Grid Case Study, A. R. Al-Ali, Ragini Gupta, Imran Zualkernan, and Sajal K. Das
Trec Ikat 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants, Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffrey Dalton, and Leif Azzopardi
Disseminating over-the-Air Updates Via Intelligent Labeling in Multi-tier Networks, Atefeh Asayesh, Asad Waqar Malik, and Sajal K. Das
Cfirm: An Integrated Code Package for the Low-Temperature Plasma Simulation on Structured Grids, Jinwei Bai, Hongtao Liu, Xiaoming He, Wei Jiang, and Yong Cao
Drone-Based Bug Detection in Orchards with Nets: A Novel Orienteering Approach, Francesco Betti Sorbelli, Federico Coró, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti
TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion, Doris E.M. Brown, Venkata Sriram Siddhardh Nadendla, and Sajal K. Das
Extending Segment Tree for Polygon Clipping and Parallelizing using OpenMP and OpenACC Compiler Directives, M. K. Buddhi Ashan, Satish Puri, and Sushil K. Prasad
A Human-Centered Power Conservation Framework based on Reverse Auction Theory and Machine Learning, Enrico Casella, Simone Silvestri, Denise A. Baker, and Sajal K. Das
Log Sequence Anomaly Detection based on Template and Parameter Parsing Via BERT, Xiaolin Chai, Hang Zhang, Jue Zhang, Yan Sun, and Sajal K. Das
Adversarial-Robust Transfer Learning for Medical Imaging Via Domain Assimilation, Xiaohui Chen and Tony Tie Luo
Early Detection of Driving Maneuvers for Proactive Congestion Prevention, Debasree Das, Shameek Bhattacharjee, Sandip Chakraborty, Bivas Mitra, and Sajal K. Das
On the K-Weak Coverage of Random Mobile Sensors, Sajal K. Das and Rafal Kapelko
Message from BITS 2024 Co-Chairs and Technical Program Co-Chairs; Smartcomp 2024, Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, and Shameek Bhattacharjee
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked Github Issue Threads, Ramtin Ehsani, Mia Mohammad Imran, Robert Zita, Kostadin Damevski, and Preetha Chatterjee
Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning, Mohamed Elmahallawy and Tony Tie Luo
Communication-Efficient Federated Learning For LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM, Mohamed Elmahallawy, Tony T. Luo, and Khaled Ramadan
Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, and Sarangapani Jagannathan
Optimal Trajectory Tracking of Uncertain Nonlinear Continuous-Time Strict-Feedback Systems with Dynamic Constraints, Irfan Ganie and S. Jagannathan
Continual Online Learning-Based Optimal Tracking Control Of Nonlinear Strict-Feedback Systems: Application To Unmanned Aerial Vehicles, Irfan Ganie and Sarangapani Jagannathan
Lifelong Learning-Based Optimal Trajectory Tracking Control of Constrained Nonlinear Affine Systems using Deep Neural Networks, Irfan Ganie and Sarangapani Jagannathan
Optimal Trajectory Tracking for Uncertain Linear Discrete-time Systems using Time-varying Q-learning, Maxwell Geiger, Vignesh Narayanan, and Sarangapani Jagannathan
Mobilytics: Mobility Analytics Framework for Transferring Semantic Knowledge, Shreya Ghosh, Soumya K. Ghosh, Sajal K. Das, and Prasenjit Mitra
Minerrouter : Effective Message Routing using Contact-Graphs and Location Prediction in Underground Mine, Abhay Goyal, Sanjay Madria, and Samuel Frimpong
L3Geocast: Enabling P4-Based Customizable Network-Layer Geocast at the Network Edge, Xindi Hou, Shuai Gao, Ningchun Liu, Fangtao Yao, Hongke Zhang, and Sajal K. Das
Shedding Light on Software Engineering-Specific Metaphors and Idioms, Mia Mohammad Imran, Preetha Chatterjee, and Kostadin Damevski
Uncovering the Causes of Emotions in Software Developer Communication using Zero-Shot Llms, Mia Mohammad Imran, Preetha Chatterjee, and Kostadin Damevski
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
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
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 A. 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
Unsafe Events Detection in Smart Water Meter Infrastructure Via Noise-Resilient Learning, Ayanfeoluwa Oluyomi, Sahar Abedzadeh, Shameek Bhattacharjee, and Sajal K. Das
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
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
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
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
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
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
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
HatEmoTweet: Low-level Emotion Classifications And Spatiotemporal Trends Of Hate And Offensive COVID-19 Tweets, Ademola Adesokan, Sanjay Kumar 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
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
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
A Dtn-Based Spatio-Temporal Routing using Location Prediction Model in Underground Mines, Abhay Goyal, Sanjay Kumar Madria, and Samuel Frimpong
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
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
A Parallel Framework for Efficiently Updating Graph Properties in Large Dynamic Networks, Arindam Khanda and Sajal K. Das
