Efficient FPGA Implementation of Multilayer Perceptron for Real-Time Human Activity Classification. - Nikhil B. Gaikwad; Varun Kumar Tiwari; Avinash G. Keskar; N. C. Shivaprakash (IEEE Access, 2019)

Heterogeneous Sensor Data Analysis Using Efficient Adaptive Artificial Neural Network on FPGA Based Edge Gateway. - Nikhil B. Gaikwad; Varun Kumar Tiwari; Avinash G. Keskar; N. C. Shivaprakash (KSII Trans. Internet Inf. Syst., 2019)

The Internet-of-Battlefield-Things (IoBT)-Based Enemy Localization Using Soldiers Location and Gunshot Direction. - Nikhil B. Gaikwad; Hrishikesh Ugale; Avinash G. Keskar; N. C. Shivaprakash (IEEE Internet Things J., 2020)

An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets. - Smith K. Khare; Nikhil B. Gaikwad; Neeraj Dhanraj Bokde (Sensors, 2022)

VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection. - Smith K. Khare; Nikhil B. Gaikwad; Varun Bajaj (IEEE Trans. Instrum. Meas., 2022)

Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. - Smith K. Khare; Varun Bajaj; Nikhil B. Gaikwad; Ganesh Ram Sinha (Sensors, 2023)

Boosting GPGPU Virtualization and Multiplexing with RDMA Communication. - Mariano Aponte; Gennaro Mellone; Ciro Giuseppe De Vita; Giuseppe Salvi; Nikhil B. Gaikwad; Sokol Kosta (PPAM (2), 2024)

QUIC(K) Communication for GPU Virtualization in Edge Computing. - Ralf Lübben; Nikhil B. Gaikwad; Cedomir Stefanovic; Sokol Kosta (WiMob, 2024)

FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things. - Nikhil B. Gaikwad; Smith K. Khare; Dinesh Mendhe; Hasan Saeed Mir; Sokol Kosta; U. Rajendra Acharya (IEEE Access, 2025)