Random projection for spike sorting: Decoding neural signals the neural network way. - Aakash Patil; Shanlan Shen; Enyi Yao; Arindam Basu (BioCAS, 2015)

Current mirror array: A novel lightweight strong PUF topology with enhanced reliability. - Zheng Wang 027; Yi Chen 012; Aakash Patil; Chip-Hong Chang; Arindam Basu (ISCAS, 2017)

Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition. - Aakash Patil; Shanlan Shen; Enyi Yao; Arindam Basu (Neurocomputing, 2017)

Powering the IoT through embedded machine learning and LoRa. - Vignesh Mahalingam Suresh; Rishi Sidhu; Prateek Karkare; Aakash Patil; Lei Zhang; Arindam Basu (WF-IoT, 2018)

Current Mirror Array: A Novel Circuit Topology for Combining Physical Unclonable Function and Machine Learning. - Zheng Wang 027; Yi Chen 012; Aakash Patil; Jayasanker Jayabalan; Xueyong Zhang; Chip-Hong Chang; Arindam Basu (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application. - Yi Chen 012; Zheng Wang 027; Aakash Patil; Arindam Basu (ISCAS, 2019)

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. - Sumon Kumar Bose; Bapi Kar; Mohendra Roy; Pradeep Kumar Gopalakrishnan; Lei Zhang; Aakash Patil; Arindam Basu (CoRR, 2019)

A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internet-of-Things Applications. - Yi Chen 012; Zheng Wang 027; Aakash Patil; Arindam Basu (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS. - Sumon Kumar Bose; Bapi Kar; Mohendra Roy; Pradeep Kumar Gopalakrishnan; Lei Zhang; Aakash Patil; Arindam Basu (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. - Vivek Saraswat; Ajinkya Gorad; Anand Naik; Aakash Patil; Udayan Ganguly (IJCNN, 2021)

Deep Learning-Assisted Modelling of Turbulence in Fluids. (Modélisation de la turbulence dans les fluides assistée par l'apprentissage profond). - Aakash Patil (2023)

Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments. - Abhijeet Vishwasrao; Sai Bharath Chandra Gutha; Andres Cremades; Klas Wijk; Aakash Patil; Catherine Gorle; Beverley J. McKeon; Hossein Azizpour; Ricardo Vinuesa (CoRR, 2025)