Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability. - Bharath Sudharsan; Peter Corcoran 001; Muhammad Intizar Ali (AICS, 2019)

A Microphone Array and Voice Algorithm based Smart Hearing Aid. - Bharath Sudharsan; Manigandan Chockalingam (CoRR, 2019)

RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IOT, 2020)

Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IOT, 2020)

Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches. - Bharath Sudharsan; Dineshkumar Sundaram; John G. Breslin; Muhammad Intizar Ali (IOT Companion, 2020)

Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (WF-IoT, 2020)

An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware. - Bharath Sudharsan; Piyush Yadav; John G. Breslin; Muhammad Intizar Ali (SCC, 2021)

Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IEEE BigData, 2021)

Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT. - Bharath Sudharsan; Piyush Yadav; Duc-Duy Nguyen; Jefkine Kafunah; John G. Breslin (IEEE BigData, 2021)

Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case. - Federica Rollo; Bharath Sudharsan; Laura Po; John G. Breslin (UbiComp/ISWC Adjunct, 2021)

SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (ICCPS, 2021)

Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract. - Bharath Sudharsan; Pankesh Patel; Abdul Wahid; Muhammad Yahya; John G. Breslin; Muhammad Intizar Ali (IoTDI, 2021)

GNOSIS- query-driven multimodal event processing for unstructured data streams. - Piyush Yadav; Dhaval Salwala; Bharath Sudharsan; Edward Curry (Middleware Demos/Posters, 2021)

Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (PerCom Workshops, 2021)

Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices. - Bharath Sudharsan; Dineshkumar Sundaram; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (PerCom Workshops, 2021)

Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (ECML/PKDD (5), 2021)

ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT. - Bharath Sudharsan; Dhruv Sheth; Shailesh Arya; Federica Rollo; Piyush Yadav; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (SenSys, 2021)

Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices. - Bharath Sudharsan; Piyush Yadav; John G. Breslin; Muhammad Intizar Ali (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. - Bharath Sudharsan; Sweta Malik; Peter Corcoran 001; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali (WF-IoT, 2021)

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers. - Bharath Sudharsan; Simone Salerno; Duc-Duy Nguyen; Muhammad Yahya; Abdul Wahid; Piyush Yadav; John G. Breslin; Muhammad Intizar Ali (WF-IoT, 2021)

Toward Distributed, Global, Deep Learning Using IoT Devices. - Bharath Sudharsan; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali; Karan Mitra; Schahram Dustdar; Omer F. Rana; Prem Prakash Jayaraman; Rajiv Ranjan 001 (IEEE Internet Comput., 2021)

Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract). - Bharath Sudharsan (AAAI, 2022)

RIS-IoT: Towards Resilient, Interoperable, Scalable IoT. - Bharath Sudharsan; Panchakarla S. Rahul; Piyush Yadav; Suneet Kumar Gupta 001; Vimal Kumar 002; Duc-Duy Nguyen; Muhammad Intizar Ali; John G. Breslin (ICCPS, 2022)

Poster Abstract: Embedded ML Pipeline for Precision Agriculture. - Dhruv Sheth; Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IPSN, 2022)

Poster Abstract: Approach for Remote, On-Demand loading and Execution of TensorFlow Lite ML Models on Arduino IoT Boards. - Bharath Sudharsan; Simone Salerno; Piyush Yadav; John G. Breslin (IPSN, 2022)

TMM-TinyML: tensor memory mapping (TMM) method for tiny machine learning (TinyML). - Bharath Sudharsan; Sonu Prasad; Dan Jose; John G. Breslin (MobiCom, 2022)

TinyML-CAM: 80 FPS image recognition in 1 kB RAM. - Bharath Sudharsan; Simone Salerno; Rajiv Ranjan 001 (MobiCom, 2022)

TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices. - Kavya Kopparapu; Eric Lin; John G. Breslin; Bharath Sudharsan (PerCom Workshops, 2022)

ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali; Peter Corcoran 001; Rajiv Ranjan 001 (SAC, 2022)

Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware. - Bharath Sudharsan; Dineshkumar Sundaram; Pankesh Patel; John G. Breslin; Muhammad Intizar Ali; Schahram Dustdar; Albert Y. Zomaya; Rajiv Ranjan 001 (CoRR, 2022)

OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices. - Bharath Sudharsan; John G. Breslin; Mehreen Tahir; Muhammad Intizar Ali; Omer F. Rana; Schahram Dustdar; Rajiv Ranjan 001 (IEEE Internet Comput., 2022)

ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices. - Bharath Sudharsan; John G. Breslin; Muhammad Intizar Ali (IEEE Internet Things J., 2022)

Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge. - Shamil Al-Ameen; Bharath Sudharsan; Tomasz Szydlo; Roua Al-Taie; Tejal Shah; Rajiv Ranjan 001 (UCC, 2023)

LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction. - Shamil Al-Ameen; Bharath Sudharsan; Roua Al-Taie; Tejal Shah; Rajiv Ranjan 001 (IEEE Big Data, 2024)

Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge. - Shamil Al-Ameen; Bharath Sudharsan; Tejus Vijayakumar; Tomasz Szydlo; Tejal Shah; Rajiv Ranjan 001 (IEEE Big Data, 2024)