An On-chip Robust Real-Time Automated Non-Invasive Cardiac Remote Health Monitoring Methodology. - Naresh Vemishetty; Krishna Bharadwaj Chivukula; Sandeep Tiwari; Pavana Ravi Sai Kiran Malyala; Bastin Joseph; Agathya Jagirdar; Jagadish Bandaru; Venkateswara Chowdary; Yeginati SivaKrishna; Amit Acharyya; Pachamuthu Rajalakshmi; Paolo Emilio Puddu (CinC, 2014)

IoT enabled communication device with mixer less low complex QPSK based transmitter architecture for low frequency applications. - M. P. R. Sai Kiran; Pachamuthu Rajalakshmi; Jagadish Bandaru (WPMC, 2014)

Performance analysis of hybrid multiple radio IoT architecture for ubiquitous connectivity. - Yeginati SivaKrishna; Pachamuthu Rajalakshmi; Jagadish Bandaru; Ajay Kumar Nain; M. P. R. Sai Kiran; Mohammed Abdullah Zubair; Uday B. Desai (WF-IoT, 2015)

Reconfigurable dual mode IEEE 802.15.4 digital baseband receiver for diverse IoT applications. - Mohammed Abdullah Zubair; Ajay Kumar Nain; Jagadish Bandaru; Pachamuthu Rajalakshmi; Uday B. Desai (WF-IoT, 2016)

A novel system architecture for brain controlled IoT enabled environments. - Jagadish Bandaru; M. P. R. Sai Kiran; Pachamuthu Rajalakshmi (Healthcom, 2017)

A Secure Phase-Encrypted IEEE 802.15.4 Transceiver Design. - Ajay Kumar Nain; Jagadish Bandaru; Mohammed Abdullah Zubair; Pachamuthu Rajalakshmi (IEEE Trans. Computers, 2017)

A Novel Classification for EEG Based Four Class Motor Imagery Using Kullback-Leibler Regularized Riemannian Manifold. - Pradeep Kumar Mishra; Jagadish Bandaru; Pavana Ravi Sai Kiran Malyala; Pachamuthu Rajalakshmi; D. Santhosh Reddy (HealthCom, 2018)

A Novel Feature Extraction Framework for Four Class Motor Imagery Classification using Log Determinant Regularized Riemannian Manifold. - Jagadish Bandaru; Pachamuthu Rajalakshmi (EMBC, 2019)

A Residual Phase Noise Compensation Method for IEEE 802.15.4 Compliant Dual-Mode Receiver for Diverse Low Power IoT Applications. - Mohammed Abdullah Zubair; Ajay Kumar Nain; Jagadish Bandaru; Ajay Kumar; D. Santhosh Reddy; Pachamuthu Rajalakshmi (IEEE Internet Things J., 2019)

A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments. - Jagadish Bandaru; Pradeep Kumar Mishra; Pavana Ravi Sai Kiran Malyala; Pachamuthu Rajalakshmi (Neural Comput., 2019)