Dr. Angshuman Khan

About

I am a Professor with a strong academic and research background in nanoelectronics, Quantum-dot Cellular Automata (QCA), and VLSI circuit design. My research focuses on emerging device technologies, including tunnel field-effect transistors (TFETs), and the development of energy-efficient nanoelectronic systems for next-generation applications.
I am currently serving as an Editor of Discover Quantum Science (Springer), a Senior Member of IEEE, and an active reviewer for several high-quality international journals. My recent work also explores integrating machine learning into electronic design automation and developing low-power computing solutions for IoT and quantum systems.
I am committed to advancing impactful research and fostering innovation at the intersection of nanotechnology and intelligent computing.

Employment

• University of Engineering & Management Jaipur Professor
  2025 - Present

Education

• National Institute of Technology Ph. D.
  2019 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (96)

• A scalable asynchronous Mod-10 BCD counter realization using delay flip-flops: A quantum-dot cellular automata approach
  Analog Integrated Circuits and Signal Processing 2026 DOI: 10.1007/s10470-026-02608-z
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• Mixed-Mode Circuit Analysis of Negative Capacitance Heterostructure Nanotube TFETs for Analog On-Chip Applications
  Doklady Physics 2026 DOI: 10.1134/S1028335826600471
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• Optimized Toggle Flip-Flop for Asynchronous Mod-10 BCD Counter Layout Using QCA
  Technical Physics 2026 DOI: 10.1134/S1063784225601437
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• TSN-SLP: A Trusted Sybil Node-based Source Location Privacy Scheme using Evidence Theory in Underwater Sensor Networks
  ACM Transactions on Sensor Networks 2026 DOI: 10.1145/3800936
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• Approximate Adders with Configurable Input Wiring: A Quantum-dot Cellular Automata Nanocomputing Perspective
  Journal of Circuits, Systems and Computers 2026 DOI: 10.1142/S0218126626502099
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• Predicting Diabetes Using Machine Learning: Models and Insights
  International Journal of Information Engineering and Electronic Business 2026 DOI: 10.5815/ijieeb.2026.02.12
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• Efficient RAM Cell Implementation in QCA: A Single-Layer Layout
  IETE Journal of Research 2026 DOI: 10.1080/03772063.2026.2649969
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• Design of an Area-Efficient and Low-Power 4:2 Approximate Compressor with Improved Image Quality Metrics
  IEEE Embedded Systems Letters 2026 DOI: 10.1109/LES.2026.3676640
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• Two-Dimensional Materials: Revolutionizing Electronics and Optoelectronics
  2026 DOI: 10.1007/978-981-96-8867-8_26-1
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• Scalable ripple carry and carry save adders using a QCA approach for nanoprocessors
  Microprocessors and Microsystems 2026 DOI: 10.1016/j.micpro.2026.105304
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