Submissions from 2025
DisFact: Fact-Checking Disaster Claims, Ademola Adesokan, Haiwei Hu, and Sanjay Kumar Madria
DisTGranD: Granular Event/sub-event Classification For Disaster Response, Ademola Adesokan, Sanjay Madria, and Long Nguyen
FReCS: A First Responder Classification System, Ademola Adesokan, Sanjay Madria, and Long Nguyen
V2VDisCS: Vehicle to Vehicle Distributed Charge Sharing in Intelligent Transportation Systems, Punyasha Chatterjee, Pratham Majumder, and Sajal K. Das
Collision-free Exploration by Mobile Agents Using Pebbles, Sajal K. Das, Amit Kumar Dhar, Barun Gorain, and Madhuri Mahawar
SMEVCA: Stable Matching-based EV Charging Assignment in Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Anusha Vangala, and Sajal K. Das
Social Bot Detection using Variational Generative Adversarial Networks with Hidden Markov Models in Twitter Network, Greeshma Lingam and Sajal K. Das
Analytical Dispatch Strategies for Pumped Storage Hydro: A Conditional Dynamic Programming Approach to Discontinuous Multi-period Optimization Problems, Jian Liu, Jianwen Zhang, Zaiwu Gong, Donald C. Wunsch, and Rui Bo
Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware, Nathan A. Lutes, V. Sriram Siddhardth Nedendla, and K. Krishnamurthy
SIFT Feature-Based Relative Altitude Estimation Enhanced with Siamese Network, Shirin Nasr-Esfahani and S. Jagannathan
On Countering Ransomware Attacks Using Strategic Deception, Roshan Lal Neupane, Bishnu Bhusal, Kiran Neupane, Preyea Regmi, Tam Dinh, Lilliana Marrero, Sayed M. Sayed, Venkata Sriram Siddhardh Nadendla, and Prasad Calyam
J-NECORA: A Framework for Optimal Resource Allocation in Cloud-Edge-Things Continuum for Industrial Applications with Mobile Nodes, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi
Robust Federated Learning Against Targeted Attackers using Model Updates Correlation, Priyesh Ranjan, Ashish Gupta, and Sajal K. Das
Enhancing Crowdsourcing Through Skill and Willingness-aligned Task Assignment with Workforce Composition Balance, Riya Samanta, Soumya K. Ghosh, and Sajal K. Das
Parallel Multi Objective Shortest Path Update Algorithm in Large Dynamic Networks, S. M. Shovan, Arindam Khanda, and Sajal K. Das
Towards Inclusive Fairness Evaluation Via Eliciting Disagreement Feedback From Non-expert Stakeholders, Mukund Telukunta and Venkata Sriram Siddhardh Nadendla
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
Mime: Mobility-Induced Dynamic Matching for Partial Offloading in Vehicular Edge Computing, Mahmuda Akter, Debjyoti Sengupta, Anurag Satpathy, and Sajal K. 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
Tackling Selfish Clients in Federated Learning, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, 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
Prediction of Carbonation Capacity of SCMs using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, and Donald C. Wunsch
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
Message from the Phd Dissertation Showcase Chairs, Panos K. Chrysanthis and Sanjay Madria
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
Relative Altitude Estimation of Infrared Thermal UAV Images using SIFT Features, Shirin Nasr Esfahani and Jagannathan Sarangapani
Lifelong Safe Optimal Adaptive Tracking Control of Nonlinear Strict-Feedback Discrete-Time Systems, Behzad Farzanegan and S. Jagannathan
Reinforcement Learning-Based Constrained Optimal Control of Strict-Feedback Nonlinear Systems: Application to Autonomous Underwater Vehicles, Behzad Farzanegan and S. Jagannathan
Adaptive Fault Estimation and Accommodation for Distributed Parameter Systems with Coupled Parabolic Partial Differential Equations, Farzin Ferdowsi, Jia Cai, and Sarangapani Jagannathan
Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, and Sarangapani Jagannathan
Persistent Monitoring of Insect-Pests on Sticky Traps through Hierarchical Transfer Learning and Slicing-Aided Hyper Inference, Fateme Fotouhi, Kevin Menke, Aaron Prestholt, Ashish Gupta, Matthew E. Carroll, Hsin Jung Yang, Edwin J. Skidmore, Matthew O'Neal, Nirav Merchant, Sajal K. Das, Peter Kyveryga, Baskar Ganapathysubramanian, Asheesh K. Singh, Arti Singh, and Soumik Sarkar
Online Continual Safe Reinforcement Learning-Based Optimal Control of Mobile Robot Formations, Irfan Ganie and S. 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
Analyzing Real-Time Insect Detection in Smart Connected Farms, Ashish Gupta, Vishesh Kumar Tanwar, Amit Nath Jha, and Sajal K. Das
L3DML: Facilitating Geo-Distributed Machine Learning in Network Layer, Xindi Hou, Shuai Gao, Ningchun Liu, Fangtao Yao, Bo Lei, Hongke Zhang, and Sajal K. Das
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
Scalable Pythagorean Mean-Based Incident Detection in Smart Transportation Systems, Md Jaminur Islam, Jose Paolo Talusan, Shameek Bhattacharjee, Francis Tiausas, Abhishek Dubey, Keiichi Yasumoto, and Sajal K. Das
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
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 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
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
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
