Submissions from 2026
PSO-Style Social Influence in an Ant Colony Algorithm for Continuous-domain Optimization, Ashraf M. Abdelbar and Donald C. Wunsch
SADQN-Based Residual Energy-Aware Beamforming for LoRa-Enabled RF Energy Harvesting for Disaster-Tolerant Underground Mining Networks, Hilary Kelechi Anabi, Samuel Frimpong, and Sanjay Madria
FairRFL: Fair and Robust Federated Learning in the Presence of Selfish Clients, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, and Sajal K. Das
Non-uniform Mixing of Quantum Walks on the Symmetric Group, Avah Banerjee
Explainable AI: Enhancing Transparency and Trust in Educational Technology, Avishek Barman, Anal Acharya, Soumen Mukherjee, Shubham Chatterjee, and Arpan Deyasi
On the Theoretical Advantages of Bilinear Similarities in Dense Retrieval, Shubham Chatterjee
DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging, Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, and Ping Ma
On-device Artificial Intelligence Solutions with Applications to Smart Environments, Fabrizio De Vita, Dario Bruneo, and Sajal K. Das
Safe Optimal Control Framework for Cooperative Manipulation of Objects in Human–Robot Teams, Irfan Ganie and Sarangapani Jagannathan
Safe Optimal Control Framework for Cooperative Manipulation of Objects in Human–Robot Teams, Irfan Ganie and Sarangapani Jagannathan
Safety Aware Continual Reinforcement Learning-Based Output Tracking Control of Nonlinear Continuous-Time Systems, Irfan Ganie and Sarangapani Jagannathan
Online Lifelong Optimal Adaptive Control of Partially Uncertain Strict Feedback Discrete-Time Systems with Application to Quadrotor UAVs, Maxwell Geiger and Sarangapani Jagannathan
Preface, Marco Gribaudo, Mauro Iacono, and Sahra Sedigh
FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research, Osama Abu Hamdan, Hao Che, Engin Arslan, and Md Arifuzzaman
SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning, Osama Abu Hamdan, Hao Che, Engin Arslan, and Md Arifuzzaman
QuRA: Reinforcement Learning Based Routing for Quantum Networks, Tasdiqul Islam, Engin Arslan, and Md Arifuzzaman
Long Range Battery-free Wireless Power Transfer Testbed for Underground Mines IoT and LPWAN Devices, Anabi Hilary Kelechi, Samuel Frimpong, and Sanjay Madria
SMART-CHARGE: Stable Matching Algorithm for Electric Vehicle Charging in Subscription-based Models, Arindam Khanda, Anurag Satpathy, and Sajal K. Das
Dynamic Hub-Aware Knowledge Distillation for Efficient Traffic Flow Forecasting, Xiangjie Kong, Can Shu, Wenchao Weng, Zhenzhen Zhao, Guojiang Shen, Lei Wang, and Sajal K. Das
Digital Twin Freshness Maximization in Edge Computing, Jing Li, Jianping Wang, Weifa Liang, Quan Chen, Sajal K. Das, and Xiaohua Jia
Characterizing User-Reported Risks Across LLM Chatbots, Lingyao Li, Renkai Ma, Zhaoqian Xue, and Junjie Xiong
Utility-Preserving Federated Graph Learning with Dual-Perspective Fairness, Renqiang Luo, Huafei Huang, Shuo Yu, Fengqi Yu, Feng Xia, Sajal K. Das, and Chengqi Zhang
A Tutorial on Social Media Data Analytics for Disaster Management, Sanjay Madria
New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts, Niklas M. Melton, Leonardo Enzo Brito da Silva, and Donald C. Wunsch
Self-Calibrating UAV Navigation: Reinforcement Learning Approaches for Horizontal Trajectory Estimation, Shirin Nasr-Esfahani and S. Jagannathan
PAHInA: Precision-Aware Hierarchical In-Network Aggregation for Edge Distributed Training, Yingpu Nian, Bo Yi, Qiang He, Xingwei Wang, Geyong Min, Keqin Li, and Sajal K. Das
Digital Twin-assisted Optimization of 6G Wireless Networks: Ensuring Deterministic Communication, Yingpu Nian, Bo Yi, Xingwei Wang, and Sajal K. Das
SafePass: Efficient Emergency Vehicle Passage with Minimal Disruption to Traffic Flow, Osho Osho, Suchetana Chakraborty, and Sajal K. Das
PCIAFL: Personalized and Class Imbalance-Aware Federated Learning for Driver Behavior Classification, Osho Osho, Shubh Garg, Suchetana Chakraborty, and Sajal K. Das
RF-AttenNet: A Hybrid Attention-Enhanced Network for Mixed Signal Classification in UAV Swarm Detection, Prajoy Podder, Mohammad Atikur Rahman, MacIej Zawodniok, and Sanjay Madria
STARD-Net: SpatioTemporal Attention for Robust Detection of Tiny Airborne Objects from Moving Drones, Hasibur Rahman and Sanjay Kumar Madria
Future Mining: Learning for Safety and Security, Md Sazedur Rahman, Mizanur Rahman Jewel, and Sanjay Madria
Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation, Jerome Ramos, Feng Xia, Xi Wang, Shubham Chatterjee, Xiao Fu, Hossein A. Rahmani, and Aldo Lipani
FedDOT: Defending Federated Learning Against Overwhelming Targeted Attacks, Priyesh Ranjan, Ashish Gupta, Federico Coro, and Sajal K. Das
DATAMUt: Deterministic Algorithms for Time-Delay Attack Detection in Multi-Hop UAV Networks, Keiwan Soltani, Federico Corò, Punyasha Chatterjee, and Sajal K. Das
RESCUE: Routing under Evolving Stochastic Congestion and Uncertain Spread in Wildfire Emergencies, Sowjanya Tammali, Arindam Khanda, Anurag Satpathy, S. M. Shovan, and Sajal K. Das
A Survey on Heterogeneous Computing using SmartNICs and Emerging Data Processing Units, Nathan Tibbetts, Sifat Ibtisum, and Satish Puri
You Only Need One Stage: Novel-View Synthesis from a Single Blind Face Image, Taoyue Wang, Xiang Zhang, Xiaotian Li, Huiyuan Yang, and Lijun Yin
Large Language Models for Neurology: A Mini Review, Donald C. Wunsch and Daniel B. Hier
Fixed-Time Consensus Tracking for Nonlinear Multi-Agent Systems under Aperiodically Intermittent Control, Lei Xue, Tong Wu, Wenwen Jia, and Donald C. Wunsch
Nash Equilibrium Strategies for Multicluster Pursuit–Evasion Game With Disturbances: A Prescribed-Time Convergence Approach, Lei Xue, Xian Yu, Yongbao Wu, Jian Liu, Changyin Sun, and D. C. Wunsch
A Formal Explanation Space for the Simultaneous Clustering of Neurologic Diseases based on their Signs and Symptoms, Raghu Yelugam, Daniel B. Hier, Tayo Obafemi-Ajayi, Michael D. Carrithers, and Donald C. Wunsch
Submissions from 2025
Training Neural Networks with a Self-Adaptive Ant Colony Algorithm, Ashraf M. Abdelbar and Donald C. Wunsch
Edge and Serverless Computing for the Next Generation of Ad Hoc Networks, Sourav Kanti Addya, Shantanu Pal, Anurag Satpathy, and Dheryta Jaisinghani
Correction: YOLO-Based Miner Detection using Thermal Images in Underground Mines (Mining, Metallurgy & Exploration, (2025), 10.1007/s42461-025-01249-6), Cyrus Addy, Venkata Sriram Siddhardh Nadendla, and Kwame Awuah-Offei
YOLO-Based Miner Detection Using Thermal Images In Underground Mines, Cyrus Addy, Venkata Sriram Siddhardh Nadendla, and Kwame Awuah-Offei
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
Multitask Learning for Roof Type and Material Segmentation toward Digital Twinning, Mohammad Hossein Afsharmovahed, Venkata Sriram Siddhardh Nadendla, Tarutal Ghosh Mondal, and Genda Chen
AlertBLE: Alert Workzone Hazards using Hybrid Filtering and Machine-Learning-Enabled BLE, Samuel Akinyede and Sejun Song
Maximizing Edge Connectivity in Graph Partitioning using Hotspots, Isam A. Alobaidi, Hiba G. Fareed, Jennifer L. Leopold, and Andrea E. Smith
Energy-Harvesting Concurrent LoRa Mesh with Timing Offsets for Underground Mine Emergency Communications, Hilary Kelechi Anabi, Samuel Frimpong, and Sanjay Madria
RUSH: Rule-Based Scheduling for Low-Latency Serverless Computing, Priyanka Ashok Birajdar, Kush Anchalia, Anurag Satpathy, and Sourav Kanti Addya
Adaptive Workload Management for Enhanced Function Performance in Serverless Computing, Priyanka Ashok Birajdar, V. Harsha, Anurag Satpathy, and Sourav Kanti Addya
DCRDA: Deadline-constrained Function Scheduling In Serverless-cloud Platform, Priyanka Ashok Birajdar, Divya Meena, Anurag Satpathy, and Sourav Kanti Addya
Iterative Recommendations Based on Monte Carlo Sampling and Trust Estimation in Multi-Stage Vehicular Traffic Routing Games, Doris E.M. Brown, Venkata Sriram Siddhardh Nadendla, and Sajal K. Das
Improving System-Level Outcomes Via Artificial Intelligence Decision Support in Kidney Utilization, Casey I. Canfield, Cihan H. Dagli, Daniel Burton Shank, Krista Lentine, Mark Schnitzler, Henry Randall, V. Sriram Siddhardh Nadendla, and Brendon Cummiskey
V2VDisCS: Vehicle to Vehicle Distributed Charge Sharing in Intelligent Transportation Systems, Punyasha Chatterjee, Pratham Majumder, and Sajal K. Das
QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking, Shubham Chatterjee and Jeff Dalton
ProActLLM: Proactive Conversational Information Seeking with Large Language Models, Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, Gareth Jones, Emine Arrousse, and Hamed Zamani
Using Structural Similarity And Kolmogorov-Arnold Networks For Anatomical Embedding Of Cortical Folding Patterns, Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, and Dajiang Zhu
ELECTRONIC COMPONENT AUTHENTICITY IDENTIFICATION SYSTEM AND RELATED METHODS, Yunghsiao Chung, Feng Yu, Stephen Edward Saddow, and Junjie Xiong
Pervasive Sensing to Correlate Vehicle Driving Behavior with City-Scale Traffic Dynamics, Debasree Das, Shameek Bhattacharjee, Sandip Chakraborty, Bivas Mitra, and Sajal K. Das
Collision-free Exploration by Mobile Agents Using Pebbles, Sajal K. Das, Amit Kumar Dhar, Barun Gorain, and Madhuri Mahawar
Explainable and Safety Aware Deep Reinforcement Learning-based Control of Nonlinear Discrete-Time Systems using Neural Network Gradient Decomposition, Behzad Farzanegan and S. Jagannathan
Multi-Model Safe Neuro-Optimal Output Tracking Control of Autonomous Surface Vessels with Explainable AI, Behzad Farzanegan and S. Jagannathan
Online Learning-Driven Human Intent Estimation and Control for Human-Robot Interaction, Irfan Ganie and S. Jagannathan
Online Lifelong Optimal Tracking Control of Uncertain Nonlinear Continuous-time Strict-feedback Systems using Deep Neural Networks, Irfan Ganie and S. Jagannathan
Online Adaptive Optimal Tracking Control of Uncertain Strict Feedback Discrete-Time Systems with Hardware Verification using a Quadrotor UAV, Maxwell Geiger and S. Jagannathan
Improved Optimal Tracking of Uncertain Nonlinear Discrete-time Systems using Experience Replay, Maxwell Geiger and Sarangapani Jagannathan
MGCO: Mobility-Aware Generative Computation Offloading in Edge-Cloud Systems., Aswini Ghosh, Nelson Sharma, Shivendu Mishra, Rajiv Misra, and Sajal K. Das
Dynamic Anomaly Threshold Based Malicious Behavior Detection in LoRa-Assisted Industrial IoT, Subir Halder, Amrita Ghosal, Thomas Newe, and Sajal K. Das
LLPut: Investigating Large Language Models for Bug Report-Based Input Generation, Alif Al Hasan, Subarna Saha, Mia Mohammad Imran, and Tarannum Shaila Zaman
Semi-Supervised Multimodal Multi-Instance Learning For Aortic Stenosis Diagnosis, Zhe Huang, Xiaowei Yu, Benjamin S. Wessler, and Michael C. Hughes
“Silent is Not Actually Silent”: An Investigation of Toxicity on Bug Report Discussion, Mia Mohammad Imran and Jaydeb Sarker
CIRCA: A Framework for Collaborative Identification of Root Cause Analysis in Iot Microservices, Xingguo Jiang, Hong Luo, Yan Sun, and Sajal K. Das
SMEVCA: Stable Matching-based EV Charging Assignment in Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Anusha Vangala, and Sajal K. Das
SEDViN: Secure Embedding for Dynamic Virtual Network Requests using a Multi-attribute Matching Game, T. G.Keerthan Kumar, Rahul Kumar, Anirudh Munnur Achal, Anurag Satpathy, and Sourav Kanti Addya
Improving the Freshness of Digital Twins in Edge Computing, Jing Li, Jianping Wang, Weifa Liang, Sajal K. Das, and Quan Chen
Fuzzy-Based Deep Reinforcement Learning for Suicidal Ideation Detection in Online Social Networks, Greeshma Lingam 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
Adaptive Nussbaum Design for Nonholonomic Systems with Asymptotic Stabilization Against False Data Injection, Guilong Liu, Yongliang Yang, Weinan Gao, and Donald C. Wunsch
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
Echopulse: ECG Controlled Echocardiograms Video Generation, Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, and Xiang Li
PMMJC: A Preference-based Multi-stage Matching-mechanism For JointCloud Environments, Hao Lu, Jianzhi Shi, Yang Song, Xingwei Wang, Bo Yi, Pengbo Li, Yudi Cheng, Min Huang, and Sajal K. Das
Few-shot transfer learning for individualized braking intent detection on neuromorphic hardware, Nathan A. Lutes, V. Sriram Siddhardth Nedendla, and K. Krishnamurthy
Ca-vqvae: Cortical Folding Aware Numerical Representation Of White-Matter Structure, Yanjun Lyu, Jing Zhang, Lu Zhang, Tong Chen, Xiaowei Yu, Minheng Chen, Yan Zhuang, Chao Cao, Tianming Liu, and Dajiang Zhu
Message from the PhD Dissertation Showcase Chairs, Sanjay Kumar Madria and Anita Graser
Early Career Setback and Future Achievement in Professional Sports, Suman Kalyan Maity, Yang Wang, Nima Dehmamy, Victoria Medvec, Brian Uzzi, and Dashun Wang
Real-Time Testbed for Studying Cyberattacks and Defense in DER-Integrated Smart Inverter Systems, M. Maliha, A. Oluyomi, M. Booge, S. Bhattacharjee, N. Braasch, P. Gomez, and Sajal K. Das
When Federated Learning Meets Quantum Computing: Survey and Research Opportunities, Aakar Mathur, Ashish Gupta, and Sajal K. Das
A Comprehensive Survey Of Data-Driven Solutions For LoRaWAN: Challenges And Future Directions, Poonam Maurya, Abhishek Hazra, Preti Kumari, Troels Bundgaard Sørensen, and Sajal K. Das
An Extensive Analysis of Match-Tracking Methods for ARTMAP, Niklas M. Melton, Leonardo Enzo Brito da Silva, and Donald C. Wunsch
Unlocking Neural Transparency: Jacobian Maps for Explainable Ai in Alzheimer’s Detection, Yasmine Mustafa, Mohamed Elmahallawy, and Tie Luo
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
Ethics vs.. Regulation: Converging Frameworks for Trustworthy Human-Centered AI in Biomedical Research, Tayo Obafemi-Ajayi, Tiffani J. Bright, Emily F. Wong, Donald Wunsch, Joan Peckham, and Jason H. Moore
DeepART: Deep Gradient-free Local Learning With Adaptive Resonance, Sasha Petrenko, Leonardo Enzo Brito da Silva, and Donald C. Wunsch
Dynamic Resource Allocation In Cloud-to- Things Continuum for Real-Time IoT Applications, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, and Giuseppe Anastasi
