Nano Intelligence Lab
-Where Nano Meets AI
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. At a time when India is rapidly advancing in areas like AI, semiconductor innovation, digital healthcare, green energy, and smart manufacturing, the Nano Intelligence Lab is aligned with the nation’s vision for Atmanirbhar Bharat, Digital India, and Make in India.
We prepare students to lead this transformation—whether in academia, national R&D missions, or cutting-edge industries.
Our Focus:
🧠Neuromorphic Computing with Nanodevices: Creating AI systems inspired by the human brain for real-time, energy-efficient solutions. We are exploring nanomaterials, innovative device designs, and computing approaches that enhance processing efficiency and functionality. Current projects include the exploration of memristor-based circuits, which mimic synaptic functions to enhance learning and adaptation in AI systems. Our work will also focus on applications in advanced sensing systems and bio-integrated devices.
🤖 AI for Nanotechnology:
Harnessing machine learning and optimization techniques to tackle challenges in materials, devices and nanobiotechnology. This synergy enhances the efficiency, scalability, and adaptability of solutions, unlocking new possibilities for real-world applications across energy and healthcare.
Our Approach
Our multidisciplinary research is both fundamental and applied, blending materials science, nanoelectronics, and optoelectronics with statistical modeling, non-linear dynamics, network science, and neuroscience concepts. We leverage cutting-edge sensing technologies, signal processing, image analysis, and AI/ML optimization tools to develop intelligent computing and sensing solutions for complex systems.
Our mission is to pioneer a future where nano-engineered AI systems power sustainable development🌍, next-generation computing, intelligent sensing, and environmental technologies, driving innovation at the heart of Industry 4.0 and beyond.
We welcome students and researchers to be part of the Nano Intelligence Lab. Please reach us at ankush.kumar[at]nt.iitr.ac.in
Linkedin ID: https://www.linkedin.com/in/ankush-k-5611b238/
Research pathways for prospective students:
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Designing and fabricating nanodevices using electrochemical and soft lithography techniques
- Thermal management in Neuromorphic and Nanodevices.
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Synthesizing functional materials for memristors and transistor-like devices
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Exploring solid state physics and semiconductor physics and organic–inorganic hybrid materials
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Performing electrical, electrochemical, thermal, and optoelectronic characterization of nanoscale devices
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Conducting computational modeling and simulations to understand emergent device behavior
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Developing flexible and wearable electronics for healthcare, environmental monitoring, and human–machine interfaces
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Applying machine learning to accelerate materials discovery and optimize device performance
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Creating AI-driven sensor systems for real-time environmental and biomedical monitoring
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Designing neuroscience-inspired algorithms for nanodevice-based computing platforms
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Investigating novel nanomaterials and hybrid systems to enable energy-efficient and scalable neuromorphic computing and sensing technologies
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Join us as we bridge the gap between the infinitesimally small and the infinitely intelligent.
"The true sign of intelligence is not knowledge but imagination." -Albert Einstein
Selected Publications
Janzakova K, Ankush Kumar, M Ghazal, A Susloparova, Y Coffinier, F Alibart, and S Pecqueur. Analog Programing of Conducting-Polymer Dendritic Interconnections and Control of their Morphology. Nature Communications, 2021. IF 14.9
Kumar Ankush*, Janzakova K, Coffinier Y, Pecqueur S and Alibart F, Theoretical modeling of dendrite growth from conductive wire electro polymerization, Scientific Reports, Nature Publications, 12, 1 2022.
Janzakova K et al. Dendritic organic electrochemical transistors grown by electropolymerization for 3D neuromorphic Engineering, 2021 # Equal first author. Advanced Science, DOI: 10.1002/advs.202102973. IF 16.8. #Ankush Kumar: Equal First Author
Janzakova K, Ankush Kumar, M Ghazal, A Susloparova, Y Coffinier, F Alibart, and S Pecqueur. Analog Programing of Conducting-Polymer Dendritic Interconnections and Control of their Morphology. Nature Communications, 2021. IF 14.9
A. Anand, Ankush Kumar, M. Bag, Effects of Different Conductance Mechanisms and Temperature on Memristive Neural Networks, Physica Status Solidi, 2025.
Research Environment & Student Engagement
The group works on how the human brain processes information and how similar principles can be created in electronic and nanoscale systems for faster and more energy-efficient sensing and computing. In practice, this connects directly to the development of neuromorphic devices and materials for intelligent systems, as well as smart sensors where nanotechnology meets artificial intelligence and machine learning. This includes the design of nano-devices that can learn, adapt, and process signals directly at the sensor level rather than relying only on conventional processors.
Research activities combine nanofabrication, electrical characterization, physical modeling, and artificial-intelligence-based signal processing, forming a strong foundation in computational nanotechnology. This enables students to gain exposure across both hardware and software aspects of next-generation computing technologies. Current themes include learning-enabled nano-devices, adaptive sensing platforms, and real-time data processing for wearables, healthcare, environmental monitoring, and edge-AI systems, with clear relevance to modern nanoelectronics, optoelectronics, and real-world sensing applications. Love blending biology, chemistry, physics, devices, and AI to build next-generation technology? Nano Intelligence Lab is for you.
