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Dr. Sakshi Ahuja

Assistant Professor, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Faridabad

Qualification: Ph.D
sakshi.ahuja@dl.amrita.edu
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Research Interest: Medical image analysis, IoT based devices, Computational neuroscience,Deep Learning, Machine Learning

Bio

Dr. Sakshi Ahuja is a dedicated AI and Machine Learning expert with a strong academic foundation and extensive experience in developing innovative AI solutions. Holding a Ph.D. in Electrical Engineering from the prestigious Indian Institute of Technology Delhi (IITD), she has specialized in multi-modal radiographic image analysis using deep learning, focusing on critical applications like brain tumor detection and COVID-19 diagnosis. Driven by the transformative potential of AI in industry and healthcare, she is passionate about advancing research, solving complex problems, and contributing to cutting-edge technologies. She actively seeks collaborations with researchers and industry professionals to push the frontiers of AI and Machine Learning.

Publications

Journal Article

Year : 2022

McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices

Cite this Research Publication : Sakshi Ahuja, B.K. Panigrahi, Nilanjan Dey, Dr. Arpit Taneja, and T.K. Gandhi, "McS- Net: Multi-class Siamese network for the severity of COVID-19 infection classification from lung CT scan slices", Applied Soft Computing, Elsevier, 2022.

Publisher : Elsevier

Year : 2022

Enhanced performance of Dark-Nets for brain tumor classification and segmentation using colormap-based superpixel techniques

Cite this Research Publication : Sakshi Ahuja, B.K. Panigrahi, and T.K. Gandhi, "Enhanced performance of Dark-Nets for brain tumor classification and segmentation using colormap-based superpixel techniques", Machine Learning with Applications, Elsevier, Volume 7, 15 March 2022

Publisher : Elsevier

Year : 2021

Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data

Cite this Research Publication : Singh, M., Bansal, S., Ahuja, S. et al., “Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data”, Medical & Biological Engineering & Computing, Springer, 2021.

Publisher : Springer

Year : 2020

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

Cite this Research Publication : Sakshi Ahuja, B.K. Panigrahi, and T.K. Gandhi, "Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices", Applied Intelligence, Springer, 2020.

Publisher : Springer

Talks Delivered

Research Talks Delivered

  • School of Computing and Information Technology REVA UNIVERSITY Bangalore is organizing a Faculty Development Program (FDP) on 26TH July, 2024

Invited Talks

  • Role of AI in industry at JMIT Radaur, Haryana on 20 May, 2020.
Awards

Gold medalist in B.Tech from Kurukshetra University

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