Nabil Imam

Nabil Imam

Cornell University

H-index: 15

North America-United States

About Nabil Imam

Nabil Imam, With an exceptional h-index of 15 and a recent h-index of 11 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Machine Learning, Systems Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Asynchronous completion tree circuit using multi-function threshold gate with input based adaptive threshold

Asynchronous consensus circuit with stacked ferroelectric planar capacitors

Asynchronous validity tree circuit using multi-function threshold gate with input based adaptive threshold

Asynchronous consensus circuit with stacked linear or paraelectric non-planar capacitors

Asynchronous circuit with majority gate or minority gate logic and 1-input threshold gate

Asynchronous consensus circuit using multi-function threshold gate with input based adaptive threshold

Asynchronous circuit with threshold logic

Asynchronous circuit with multi-input threshold gate logic and 1-input threshold gate

Nabil Imam Information

University

Position

IBM Almaden Research Center;

Citations(all)

9558

Citations(since 2020)

7164

Cited By

5111

hIndex(all)

15

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Nabil Imam Skills & Research Interests

Machine Learning

Systems Neuroscience

Top articles of Nabil Imam

Title

Journal

Author(s)

Publication Date

Asynchronous completion tree circuit using multi-function threshold gate with input based adaptive threshold

2024/2/20

Asynchronous consensus circuit with stacked ferroelectric planar capacitors

2024/2/13

Asynchronous validity tree circuit using multi-function threshold gate with input based adaptive threshold

2024/1/2

Asynchronous consensus circuit with stacked linear or paraelectric non-planar capacitors

2023/12/26

Asynchronous circuit with majority gate or minority gate logic and 1-input threshold gate

2023/8/1

Asynchronous consensus circuit using multi-function threshold gate with input based adaptive threshold

2023/12/26

Asynchronous circuit with threshold logic

2023/8/1

Asynchronous circuit with multi-input threshold gate logic and 1-input threshold gate

2023/11/14

Active Sensing with Predictive Coding and Uncertainty Minimization

arXiv preprint arXiv:2307.00668

Abdelrahman Sharafeldin

Nabil Imam

Hannah Choi

2023/7/2

Active Vision with Predictive Coding and Uncertainty Minimization

Abdelrahman Sharafeldin

Nabil Imam

Hannah Choi

2023/11/9

Parallel pull-up and pull-down networks controlled asynchronously by majority gate or minority gate logic

2023/5/16

Asynchronous carry-ripple adder with majority or minority gates

2023/8/10

Pull-up and pull-down networks controlled asynchronously by threshold gate logic

2023/8/1

Neuromorphic algorithm for rapid online learning and signal restoration

2022/6/23

Wiring up recurrent neural networks

Nature Machine Intelligence

Nabil Imam

2021/9

Network traversal using neuromorphic instantiations of spike-time-dependent plasticity

2021/1/5

Self-organization of cortical areas in the development and evolution of neocortex

Proceedings of the National Academy of Sciences

Nabil Imam

Barbara L. Finlay

2020/11/17

Rapid online learning and robust recall in a neuromorphic olfactory circuit

Nature Machine Intelligence

Nabil Imam

Thomas A Cleland

2020/3

See List of Professors in Nabil Imam University(Cornell University)