Ankush Kumar
Indian Institute of Technology Roorkee, Singapore University of Technology and Design, Jawaharlal Nehru Centre for Advanced Scientific Research
About
I am currently an Assistant Professor at the Centre for Nanotechnology, IIT Roorkee. My research focuses on the intersection of Nanotechnology and Artificial Intelligence, integrating both modeling and experimental strategies.
My research interests include:
Neuromorphic Computing with Nano-systems
Nanoelectronics
AI and Optimization for Nanotechnology
Multiscale Device Design
Intelligent Sensing Systems
Optoelectronics
I am passionate about advancing these fields to develop innovative solutions and cutting-edge technologies.
Led by Dr. Ankush Kumar, Assistant Professor at the Centre for Nanotechnology, IIT Roorkee, the Nano Intelligence Lab is positioned at the intersection of nanotechnology and artificial intelligence. We welcome students and researchers to be part of the Nano Intelligence Lab.
Contact: ankush.kumar[at]nt.iitr.ac.in
Employment
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Indian Institute of Technology Roorkee Assistant Professor2024 - Present
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Singapore University of Technology and Design Research Fellow2022 - Present
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Institut d'Électronique de Microélectronique et de Nanotechnologie Post Doc Associate2019 - Present
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University of Pittsburgh Post Doctoral Associate2018 - 2019
Education
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Jawaharlal Nehru Centre for Advanced Scientific Research PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (25)
- Reliableformer: A Device Aware Framework for Reliable Memristor Transformer Accelerators Save
- Biopolymer-Based Stimuli-Responsive and Self-Healing Conductive Hydrogels for Next-Generation Bioelectronics Interfaces Save
- A review of neuroscience-inspired deep learning and genetic algorithms Save
- Memristive nanowire reservoir modeling for compressed audio feature extraction and neuromorphic classification: Potential for edge AI applications Save
- Neuromorphic Signal Classification Using Organic Electrochemical Transistor Array and Spiking Neural Simulations Save
- Structural plasticity for neuromorphic networks with electropolymerized dendritic PEDOT connections Save
- Analog programing of conducting-polymer dendritic interconnections and control of their morphology Save
- Time Evolution and Spatial Hierarchy of Crack Patterns Save
- COVID-19 RISK EVALUATION AND TESTING STRATEGIES BASED ON CONTACT TRACING NETWORK AND INFORMATION ANALYSIS Save
- Modeling geographical spread of COVID-19 in India using network-based approach Save