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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
4290
World Ranking
5637
National Ranking
814

Overview

Arindam Basu is affiliated with Nanyang Technological University in Singapore and specializes in research intersecting engineering and neuroscience. Their work broadly covers areas within electrical and electronic engineering, cellular and molecular neuroscience, cognitive neuroscience, artificial intelligence, and biomedical engineering.

The scientist's research focuses on advanced memory and neural computing, neuroscience and neural engineering, imaging sensors such as CCD and CMOS technologies, ferroelectric and negative capacitance devices, neural dynamics and brain function, EEG and brain-computer interfaces, as well as neural networks and reservoir computing.

Key recent publications include:

  • Halide perovskite memristors as flexible and reconfigurable physical unclonable functions, 2021, Nature Communications
  • Diffusive and Drift Halide Perovskite Memristive Barristors as Nociceptive and Synaptic Emulators for Neuromorphic Computing, 2021, Advanced Materials
  • Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics, 2020, Nature Communications
  • Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks, 2020, Nature Communications
  • Dendritic Computing: Branching Deeper into Machine Learning, 2021, Neuroscience

Frequent co-authors with whom Arindam Basu has collaborated extensively include:

  • Pao-Sheng Vincent Sun
  • Jyotibdha Acharya
  • Nripan Mathews
  • Sumon Kumar Bose
  • Andrés Ussa

Their research has been published repeatedly in several venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • Nature Communications
  • Neuromorphic Computing and Engineering
  • Zenodo (CERN European Organization for Nuclear Research)
  • Advanced Materials

Their work emphasizes developments in neuromorphic computing and engineering, which lie at the interface of device physics, neural science, and machine learning. This interdisciplinary approach underpins their prolific contributions to electrical engineering and neuroscience-related fields.

Best Publications

  • Synergistic Gating of Electro-Iono-Photoactive 2D Chalcogenide Neuristors: Coexistence of Hebbian and Homeostatic Synaptic Metaplasticity.

    Rohit Abraham John;Fucai Liu;Nguyen Anh Chien;Mohit R. Kulkarni

  • Halide perovskite memristors as flexible and reconfigurable physical unclonable functions.

    Rohit Abraham John;Nimesh Shah;Sujaya Kumar Vishwanath;Si En Ng

  • Ionotronic Halide Perovskite Drift-Diffusive Synapses for Low-Power Neuromorphic Computation.

    Rohit Abraham John;Natalia Yantara;Yan Fong Ng;Govind Narasimman

  • A Floating-Gate-Based Field-Programmable Analog Array

    Arindam Basu;Stephen Brink;Craig Schlottmann;Shubha Ramakrishnan

  • Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

    Jyotibdha Acharya;Arindam Basu

  • Diffusive and Drift Halide Perovskite Memristive Barristors as Nociceptive and Synaptic Emulators for Neuromorphic Computing

    Rohit Abraham John;Natalia Yantara;Si En Ng;Muhammad Iszaki Bin Patdillah

  • A Learning-Enabled Neuron Array IC Based Upon Transistor Channel Models of Biological Phenomena

    S. Brink;S. Nease;P. Hasler;S. Ramakrishnan

  • Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions

    Arindam Basu;Jyotibdha Acharya;Tanay Karnik;Huichu Liu

  • A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces

    Yi Chen;Enyi Yao;Arindam Basu

  • Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics

    Rohit Abraham John;Naveen Tiwari;Muhammad Iszaki Bin Patdillah;Mohit Rameshchandra Kulkarni

  • Neural Dynamics in Reconfigurable Silicon

    A Basu;S Ramakrishnan;C Petre;S Koziol

  • A Charge-Based Low-Power High-SNR Capacitive Sensing Interface Circuit

    Sheng-Yu Peng;M.S. Qureshi;P.E. Hasler;A. Basu

  • An Extreme Learning Machine-Based Neuromorphic Tactile Sensing System for Texture Recognition

    Mahdi Rasouli;Yi Chen;Arindam Basu;Sunil L. Kukreja

  • Nullcline-Based Design of a Silicon Neuron

    Arindam Basu;Paul E Hasler

  • Silicon spiking neurons for hardware implementation of extreme learning machines

    Arindam Basu;Sun Shuo;Hongming Zhou;Meng Hiot Lim

  • Ultralow Power Dual-Gated Subthreshold Oxide Neuristors: An Enabler for Higher Order Neuronal Temporal Correlations.

    Rohit Abraham John;Nidhi Tiwari;Chen Yaoyi;Ankit

  • A Noise Filtering Algorithm for Event-Based Asynchronous Change Detection Image Sensors on TrueNorth and Its Implementation on TrueNorth.

    Vandana Padala;Arindam Basu;Garrick Orchard

  • Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks

    Rohit Abraham John;Jyotibdha Acharya;Chao Zhu;Abhijith Surendran

  • Powering the IoT through embedded machine learning and LoRa

    Vignesh Mahalingam Suresh;Rishi Sidhu;Prateek Karkare;Aakash Patil

  • Current Mirror Array: A Novel Circuit Topology for Combining Physical Unclonable Function and Machine Learning

    Zheng Wang;Yi Chen;Aakash Patil;Jayasanker Jayabalan

  • Front-end CMOS electronics for monolithic integration with CMUT arrays: Circuit design and initial experimental results

    G. Gurun;M.S. Qureshi;M. Balantekin;R. Guldiken

  • VLSI Extreme Learning Machine: A Design Space Exploration

    Enyi Yao;Arindam Basu

  • Liquid state machine with dendritically enhanced readout for low-power, neuromorphic VLSI implementations.

    Subhrajit Roy;Amitava Banerjee;Arindam Basu

Frequent Co-Authors

Paul Hasler
Paul Hasler Georgia Institute of Technology
Nripan Mathews
Nripan Mathews Nanyang Technological University
Shih-Chii Liu
Shih-Chii Liu University of Zurich
Minkyu Je
Minkyu Je Korea Advanced Institute of Science and Technology
Arun Majumdar
Arun Majumdar Stanford University
Zheng Liu
Zheng Liu Nanyang Technological University
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Tanay Karnik
Tanay Karnik Intel (United States)
Hai Li
Hai Li Duke University
Subodh G. Mhaisalkar
Subodh G. Mhaisalkar Nanyang Technological University

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