Submissions from 2024
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
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
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
Q-Learning for Sum-Throughput Optimization in Wireless Visible-Light UAV Networks, Yuwei Long and Nan Cen
Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval, Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton
Generative Relevance Feedback with Large Language Models, Iain Mackie, Shubham Chatterjee, and Jeffrey Dalton
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval, Iain Mackie, Ivan Sekulic, Shubham Chatterjee, Jeffrey Dalton, and Fabio Crestani
Optimizing Stochastic Task Migration in Vehicular Edge Computing, Ankur Nahar, Debasis Das, and Sajal K. Das
Sptframe: A Framework for Spatio-Temporal Information Aware Message Dissemination in Software Defined Vehicular Networks, Ankur Nahar, Debasis Das, and Sajal K. Das
Detection Of False Data Injection In Smart Water Metering Infrastructure, Ayanfeoluwa Oluyomi, Shameek Bhattacharjee, and Sajal K. Das
LASA: Location-Aware Scheduling Algorithm In Industrial IoT Networks With Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi
Environmentally-Aware and Energy-Efficient Multi-Drone Coordination and Networking for Disaster Response, Chengyi Qu, Francesco Betti Sorbelli, Rounak Singh, Prasad Calyam, and Sajal K. Das
An Augmented Dataset for Vision-Based Unmanned Aerial Vehicles Detection and Tracking, Md Hasibur Rahman and Sanjay Madria
Robust Federated Learning Against Backdoor Attackers, Priyesh Ranjan, Ashish Gupta, Federico Corò, and Sajal K. Das
Improved Intelligent Ledger Construction For Realistic IoT Blockchain Networks, Charles Rawlins and S. (Sarangapani) Jagannathan
Towards Robust Consensus For Intelligent Decision-making In IoT Blockchain Networks, Charles Rawlins and S. (Sarangapani) Jagannathan
Strategic Information Design In Selfish Routing With Quantum Response Travelers, Sainath Sanga, Venkata Sriram Siddhardh Nadendla, Mukund Telukunta, and Sajal K. Das
Landmark Stereo Dataset for Landmark Recognition and Moving Node Localization in a Non-Gps Battlefield Environment, Ganesh Sapkota and Sanjay Madria
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks, Shyam Sundar Saravanan, Tie (Tony) T. Luo, and Mao Van Ngo
Cyber-Agricultural Systems for Crop Breeding and Sustainable Production, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K. Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, and Asheesh K. Singh
Using Geographic Location-Based Public Health Features in Survival Analysis, Navid Seidi, Ardhendu S. Tripathy, and Sajal K. Das
Urban Air Mobility: Vision, Challenges And Opportunities, Debjyoti Sengupta and Sajal K. Das
Scalable Skill-Oriented Task Allocation in Crowdsourcing within a Serverless Ecosystem, Biswajeet Sethi, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das
Dynamic Mode Decomposition Type Algorithms for Modeling and Predicting Queue Lengths at Signalized Intersections with Short Lookback, Kazi Redwan Shabab, Shakib Mustavee, Shaurya Agarwal, Mohamed H. Zaki, and Sajal K. Das
Deep Meta Q-Learning based Multi-Task Offloading in Edge-Cloud Systems, Nelson Sharma, Aswini Ghosh, Rajiv Misra, and Sajal K. Das
RaFID: A Lightweight Approach To Radio Frequency Interference Detection In Time Domain Using LSTM And Statistical Analysis, Luke A. Smith, Vishesh Kumar Tanwar, Maciej Jan Zawodniok, and Sanjay Kumar Madria
A Distributed Algorithm For Identifying Strongly Connected Components On Incremental Graphs, S. Srinivasan, A. Khanda, S. Srinivasan, A. Pandey, S. (Sajal) K. Das, S. Bhowmick, and B. Norris
YOGA: Deep Object Detection in the Wild with Lightweight Feature Learning and Multiscale Attention, Raja Sunkara and Tie (Tony) (Tie) Luo
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects, Raja Sunkara and Tony Tie Luo
Preserving Privacy In Image Database Through Bit-planes Obfuscation, Vishesh K. Tanwar, Ashish Gupta, Sanjay Kumar Madria, and Sajal K. Das
HPRoP: Hierarchical Privacy-preserving Route Planning For Smart Cities, Francis Tiausas, Keiichi Yasumoto, Jose Paolo Talusan, Hayato Yamana, Hirozumi Yamaguchi, Shameek Bhattacharjee, Abhishek Dubey, and Sajal K. Das
Blockchain-Enabled Authenticated Key Agreement Scheme for Mobile Vehicles-Assisted Precision Agricultural IoT Networks, Anusha Vangala, Ashok Kumar Das, Ankush Mitra, Sajal K. Das, and Youngho Park
Nonmonotonic Effect Of Chemical Heterogeneity On Interfacial Crack Growth At High-angle Grain Boundaries In Fe-Ni-Cr Alloys, Yuchu Wang, Bita Ghaffari, Christopher Taylor, Simon Lekakh, Carlos Engler-Pinto, Larry Godlewski, Yang Huo, Mei Li, and Yue Fan
Reward Maximization For Disaster Zone Monitoring With Heterogeneous UAVs, Wenzheng Xu, Chengxi Wang, Hongbin Xie, Weifa Liang, Haipeng Dai, Zichuan Xu, Ziming Wang, Bing Guo, and Sajal K. Das
Libra: Harvesting Idle Resources Safely And Timely In Serverless Clusters, Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, and Seung Jong Park
Programmable Software-Defined Testbed for Visible Light UAV Networks: Architecture Design and Implementation, Yue Zhang and Nan Cen
Affine Image Registration Of Arterial Spin Labeling MRI Using Deep Learning Networks, Zongpai Zhang, Huiyuan Yang, Yanchen Guo, Nicolas R. Bolo, Matcheri Keshavan, Eve DeRosa, Adam K. Anderson, David C. Alsop, Lijun Yin, and Weiying Dai
Submissions from 2022
Optimization of Flotation Efficiency of Phosphate Minerals in Mine Tailings using Polymeric Depressants: Experiments and Machine Learning, Ashraf Alsafasfeh, Lana Z. Alagha, Ala Alzidaneen, and Venkata Sriram Siddhardh Nadendla
Swift and Accurate End-To-End throughput Measurements for High-Speed Networks, Md Arifuzzaman and Engin Arslan
Be Smart, Save I/o: A Probabilistic Approach to Avoid Uncorrectable Errors in Storage Systems, Md Arifuzzaman, Masudul Bhuiyan, Mehmet Gumus, and Engin Arslan
