Swagata Samanta

About

I received my Ph.D. from the Indian Institute of Technology Kharagpur (IIT-KGP) in 2018. Following this, I pursued postdoctoral research at the Centre for Nano Science and Engineering (CeNSE), Indian Institute of Science (IISc), Bangalore. I then served as a Postdoctoral Research Assistant at the School of Engineering, University of Glasgow, Scotland, UK. Currently, I am an Assistant Professor at SRM University, Andhra Pradesh, India. My research interests lie at the intersection of cutting-edge technologies, including on-chip nanophotonic and nanoelectronic devices, integrated optics, VLSI systems, neuromorphic computing, and the application of artificial intelligence and machine learning.

Employment

• SRM University, Andhra Pradesh Assistant Professor
  2022 - Present
• University of Glasgow Postdoctoral Research Assistant
  2019 - 2021
• Indian Institute of Science Bangalore Postdoctoral fellow
  2018 - 2019
• Indian Institute of Technology Kharagpur Researcher
  2018 - 2018

Education

• Indian Institute of Technology Kharagpur Ph.D.
  2013 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (48)

• SYSTEM AND METHOD FOR REAL-TIME KIDNEY ABNORMALITY DETECTION AND CLASSIFICATION USING LIGHTWEIGHT EDGE INTELLIGENCE
  Intellectual Property India 2026
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• Engineered Tricomi-Gauss structured optical field for enhanced refractive index sensing
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.112416
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• Photonic Structuration of the Airy-Bessel Beam for High-Performance Fiber-Optic Refractive Index Sensing
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3681204
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• Structured-light-driven high-sensitivity optical refractive index sensing using the airy-vortex beam excitation
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2025.108546
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• Structured light-induced enhancement of fiber-optic refractive index sensing via the excitation of Laguerre higher-order cosh-Gaussian mode
  Optik 2026 DOI: 10.1016/j.ijleo.2026.172682
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• C3SE-YOLO: explainable deep learning framework for robust kidney abnormality detection and classification in computed tomography images
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/ae5601
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• A SYSTEM FOR FPGA-BASED ACCELERATION OF SUPPORT VECTOR MACHINE (SVM) COMPUTATIONS, AND A METHOD THEREOF
  Intellectual Property India 2025
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• SYSTEM AND METHOD FOR DETECTING ADULTERATION IN LIQUID HYDROCARBON FUEL MIXTURE USING FIBER-OPTIC SENSOR
  Intellectual Property India 2025
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• SYSTEM AND METHOD FOR OPTICAL REFRACTIVE INDEX SENSING
  Intellectual Property India 2025
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• Leaky Integrate-and-Fire Neuron Model-Based SNN Latency Estimation Using FNS
  Journal of Electronic Materials 2024 DOI: 10.1007/s11664-024-11078-w
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