Ashima Tyagi

About

Dr. Ashima Tyagi is working as an Assistant Professor in the School of Computer Science and Engineering. Her research focuses on medical image analysis using artificial intelligence techniques to design and develop clinical decision support systems for the detection of neurological disorders.

She has presented her work at various international conferences and has published several research papers in renowned journals indexed in SCI, ACM Digital Library, Scopus, Google Scholar, and ResearchGate. During her Ph.D. at MNNIT Allahabad, she also served as a Teaching Assistant (TA), contributing to both academic and research responsibilities.

An organized and dedicated professional, Ashima possesses strong research, programming, teaching, and mentoring skills. Her primary goal is to innovate and streamline the healthcare sector through the application of Machine Learning and AI techniques.

Employment

• UPES Assistant Professor
  2024 - Present
• Galgotias University Assistant Professor
  2023 - 2024
• ABES Engineering College Assistant Professor
  2022 - 2023

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Improved schizophrenia detection using structural MRI with multi-scale transform and deep orthogonal features
  Physical and Engineering Sciences in Medicine 2026 DOI: 10.1007/s13246-026-01702-w
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• Enhanced Schizophrenia detection using ensemble deep learning and orthogonal linear transformation of structural MRI
  Network Modeling Analysis in Health Informatics and Bioinformatics 2025 DOI: 10.1007/s13721-025-00557-7
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• Spatial and frequency domain-based feature fusion for accurate detection of schizophrenia using AI-driven approaches
  Health Information Science and Systems 2025 DOI: 10.1007/s13755-025-00345-7
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• An Efficient Automated Detection of Schizophrenia Using k-NN and Bag of Words Features
  SN Computer Science 2023 DOI: 10.1007/s42979-023-01947-2
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• Machine Learning Approaches for the Detection of Schizophrenia Using Structural MRI
  Communications in Computer and Information Science 2023 DOI: 10.1007/978-3-031-28183-9_30
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• Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
  Multimedia Tools and Applications 2022 DOI: 10.1007/s11042-022-13809-9
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• Improved Detection of Coronary Artery Disease Using DT-RFE Based Feature Selection and Ensemble Learning
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-030-96040-7_34
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• Exploratory data analysis on the epidemiology of coronavirus (Covid-19) pandemic outbreak
  International Journal of Current Research and Review 2021 DOI: 10.31782/IJCRR.2021.SP170
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• Scrutinizing Patterns of Air Pollution in India
  Proceedings - IEEE 2020 2nd International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2020 2020 DOI: 10.1109/ICACCCN51052.2020.9362990
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• TCP/IP Protocol Suite
  International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2020 DOI: 10.32628/cseit206420
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