Adaptive Learning and Analytics in Engineering Education. - Rajesh C. Panicker; Akash Kumar 001; Dipti Srinivasan; Deepu John (TALE, 2018)

Introducing FPGA-based Machine Learning on the Edge to Undergraduate Students. - Rajesh C. Panicker; Akash Kumar 001; Deepu John (FIE, 2020)

Exposing Students to a State-of-the-art Problem Through a Capstone Project. - Rajesh C. Panicker; Sangit Sasidhar; Yuen Jien Soo; Colin Keng-Yan Tan (FIE, 2020)

Binary Classifiers for Data Integrity Detection in Wearable IoT Edge Devices. - Arlene John; Rajesh C. Panicker; Barry Cardiff; Yong Lian 001; Deepu John (IEEE Open J. Circuits Syst., 2020)

Low Power Optimisations for IoT Wearable Sensors Based on Evaluation of Nine QRS Detection Algorithms. - Jiamin Li; Adnan Ashraf; Barry Cardiff; Rajesh C. Panicker; Yong Lian 001; Deepu John (IEEE Open J. Circuits Syst., 2020)

Multistage Pruning of CNN Based ECG Classifiers for Edge Devices. - Xiaolin Li; Rajesh C. Panicker; Barry Cardiff; Deepu John (EMBC, 2021)

Fully Remote Project-Based Learning of Hardware/Software Codesign. - Rajesh C. Panicker; Deepu John (FIE, 2021)

Continuous User Authentication Using IoT Wearable Sensors. - Conor Smyth; Guoxin Wang 003; Rajesh C. Panicker; Avishek Nag; Barry Cardiff; Deepu John (ISCAS, 2021)

Binary ECG Classification Using Explainable Boosting Machines for IoT Edge Devices. - Li Xiaolin; Qingyuan Wang 002; Rajesh C. Panicker; Barry Cardiff; Deepu John (ICECS 2022, 2022)

Atrial Fibrillation Detection Using Weight-Pruned, Log-Quantised Convolutional Neural Networks. - Xiu Qi Chang; Ann Feng Chew; Benjamin Chen Ming Choong; Shuhui Wang; Rui Han; Wang He; Li Xiaolin; Rajesh C. Panicker; Deepu John (LASCAS, 2022)

Classification of ECG based on Hybrid Features using CNNs for Wearable Applications. - Xiaolin Li; Fang Xiang; Rajesh C. Panicker; Barry Cardiff; Deepu John (CoRR, 2022)

Classification of ECG based on Hybrid Features using CNNs for Wearable Applications. - Li Xiaolin; Fang Xiang; Rajesh C. Panicker; Barry Cardiff; Deepu John (AICAS, 2023)

ARIELLE: AR-based Independent and Experiential Language Learner on the Edge. - Juncheng Man; Lin Shang Hong; Ellia Tio Shu Yi; Rajesh C. Panicker (APCCAS, 2024)

RISCALAR: A Cycle-Approximate, Parametrisable RISC-V Microarchitecture Explorer & Simulator. - Josiah Mendes; Rajesh C. Panicker (ISCAS, 2024)