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Dr. Shweta Agrawal

Professor, CSE and Head of Department, Corporate Trainer, Coordinator Research & Development, Computer Science · Indore Institute of Science & Technology, Indore, Madhya Pradesh, India · Indore

IMPARC ID IMP-MM-TECH-MP-IN-2026-2508

Member since 2026

Contact via IMPARC

Expertise
  • Artificial Intelligence
  • Blockchain Technology
  • Computer Vision
  • Deep Learning
  • Internet of Things
  • Machine Learning
  • Engineering Education
  • Data Science
Mentorship offered
  • Healthcare Consulting
  • Digital Strategy Consulting
  • Scientific and Technical Consulting
  • Prototyping
  • Device Fabrication
  • Product Evaluation
  • Concept Development
  • Product Validation
  • Image Analysis
  • Data Processing
  • Image Processing
  • Data Visualization
  • Algorithm Design ? ML (Machine Learning)
  • Predictive Modeling
  • Gap Analysis
  • Scientific and Technical Research
  • Technology Scouting
  • Systematic Literature Review
  • General Proofreading & Editing
  • Technical Writing

Mode: Hybrid · Capacity: More than 5 researchers

Academic links

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About

Dr. Shweta Agrawal is a Professor in Computer Science and Engineering, Head of the Department of AI/ML, Corporate Trainer, and Coordinator of Research & Development at Indore Institute of Science & Technology. She has more than 21 years of teaching, research, academic administration, curriculum development, corporate training, and student mentoring experience. Her areas of specialization include Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Generative AI, Large Language Models, Python Programming, Computer Architecture, Internet of Things, Digital Electronics, and healthcare applications of AI. She is an Nvidia DLI Associate and Coach, Nvidia University Ambassador, and certified instructor. Her academic contributions include funded projects, Ph.D. supervision, patents, books, book chapters, SCI and Scopus indexed publications, journal editing and reviewing, laboratory development, conference organization, and expert sessions for academic and corporate audiences. She has also served as NAAC Criteria 3 Coordinator, R&D and NIRF Coordinator, Board of Studies Member Secretary, NPTEL SPOC, Women in Data Science Brand

Publications 18

Journal articles

  • Tandon R, Rathore N P S, Agrawal S, Sharma S (2026). Explainability Based Optimized Deep Learning in Histopathological Diagnosis of Multiple Cancers and Development of Mobile Application. Microscopy Research and Technique.
    Web of Science (SCI / SCIE / SSCI / ESCI) DOI 10.1002/jemt.70115
  • Sharma S, Agrawal S, Rathore N P S, Tandon R (2026). Hybrid deep learning for hyperspectral cube reconstruction in computed tomography imaging spectrometry via angular spectrum propagation. Optics and Lasers in Engineering.
    Web of Science (SCI / SCIE / SSCI / ESCI)
  • Kumar K, Agrawal S, et al. (2025). Early Diagnosis of Alzheimer’s Disease using Adaptive Neuro K means Clustering Technique. IEEE Access.
    Web of Science (SCI / SCIE / SSCI / ESCI) DOI 10.1109/ACCESS.2025.3533638
  • Kulkarni A. A., Agrawal S., Tandon R. (2025). https://doi.org/10.1109/ACCESS.2025.3533638 Student placement prediction using optimised ensemble machine learning approach. International Journal of Services, Economics and Management.
    Scopus
  • Ritu Tandon, S. Agrawal (2024). A Systematic Review on Deep Learning Based Automated Cancer Diagnosis Models. Journal of Cellular and Molecular Medicine.
    Web of Science (SCI / SCIE / SSCI / ESCI)

Books

  • Deep Learning In Radiology: Lung Cancer Detection With Medical Imaging. Book Rivers.
    ISBN9789368840398
  • (2021). Importance of Machine Learning and Artificial Intelligence for a Real World Scenario. INSC International Publishers.
    ISBN1685760988, 9781685760984
  • Robotics & Artificial Intelligence Book for ICSE Curriculum of Class IX. Kips Publication.
    ISBN978 81 19433 24 7
  • Robotics & Artificial Intelligence Book for ICSE Curriculum of Class X. Kips Publications.
    ISBN978 81 19433 25 4
  • Data Science Book for CBSE Curriculum Class VIII Students. Kips Publication.
    ISBN978 93 92643 74 3

Book chapters

  • (2025). Analysing the Impact and Challenges of Deep Learning Models in Virology. In Artificial Intelligence and Blockchain in Precision Medicine and Virology. Springer Nature Singapore.
  • (2022). Automatic Lung Carcinoma Identification and Classification in CT Images Using CNN Deep Learning Model. In Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Springer, Singapore.
    DOI 10.1007/978-981-19-1076-0_9
  • (2020). Medical Text and Image Processing: Applications, Issues and Challenges. In Machine Learning with Health Care Perspective: Machine Learning and Healthcare. Springer Nature.
    DOI 10.1007/978-3-030-40850-3_11

Conference papers

  • (2025). A Method for Doctor's Handwritten Text Recognition by utilizing Deep Learning and Ambiguity Handling. 7th International Conference on Information Management & Machine Intelligence.
    Scopus
  • (2024). Optimized Stacked Classifier to Predict Hepatitis B Disease. IEEE International Conference on Intelligent Computing and Sustainable Innovation in Technology, Silicon University, Odisha, India.
    Scopus
  • (2024). Potato Plant Leaf Disease Detection using Optimized CNN and Transfer Learning. IEEE International Conference on Intelligent Computing and Sustainable Innovation in Technology, Silicon University, Odisha, India.
    Scopus
  • Stacked Ensemble Learning Framework for Lung Disease Classification. IEEE International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation, Manipal University Jaipur, India.
    IEEE Xplore
  • (2021). Structural Support Vector Machine for Speech Recognition Classification with CNN Approach. 9th International Conference on Cyber and IT Service Management, IEEE.
    Scopus

Experience

  1. Professor and Head, Department of AI/ML

    Indore Institute of Science & Technology, Indore, Madhya Pradesh, India

    06/23 to Present (current)

  2. Associate Professor, Computer Science Engineering Department

    SAGE University, Indore, Madhya Pradesh, India

    09/17 to 01/20

  3. Assistant Professor, School of Computer Science

    Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India

    11/23/06 to 09/20/17

  4. Visiting Faculty

    International Institute of Professional Studies, Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India

    08/04 to 08/06

Education

  • Completed in 2010

    M.Tech., Computer Science and Engineering

    Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India

  • Qualified in 2012

    National Eligibility Test, Computer Science and Engineering

    University Grants Commission

  • Qualified in 2007

    GATE, Computer Science and Engineering

    Graduate Aptitude Test in Engineering

  • Completed in 04/23

    Elite Certificate, Introduction to Machine Learning

    NPTEL

Supervision & projects

  • Thesis · Investigation of Computer Vision Techniques for Grain Quality Assessment and Evaluation

    2022

    Completed

  • Dissertation · Ensemble machine learning model for predicting quality of wheat seed

  • Funded project · AICTE IDEA Lab

    AICTE · Faculty Co coordinator · Approved

  • Funded project · Faculty Development Programme on Research Methodology

    Ministry of Electronics and Information Technology through IIITDM Jabalpur · Programme Coordinator · 02/22/18 to 02/26/18

    Completed

  • Funded project · Faculty Development Programme on Data Science using Python Programming

    Ministry of Electronics and Information Technology through IIITDM Jabalpur · Programme Coordinator · 11/17/18 to 11/21/18

    Completed

  • Funded project · Faculty Development Programme on Internet of Things

    MPCOST, Bhopal · Programme Coordinator · 07/20/18 to 07/21/18

    Completed

  • Funded project · NKN Faculty Development Programmes

    Ministry of Electronics and Information Technology through IIITDM Jabalpur · Programme Coordinator

    Completed

Awards

  • Nvidia DLI Associate and Coach

    Nvidia Deep Learning Institute

  • Aatmmanthan Award

    SAGE University

  • Best Teaching Award

    Devi Ahilya Vishwavidyalaya · 2010

  • Work of Excellence Award

    Devi Ahilya Vishwavidyalaya

  • Chairman Elite Club Member

Events & training

  • One Week Short Term Course · Indian Institute of Technology Indore

    Blockchain: Business Foundations and Solution Architectures

    03/22/21 to 03/26/21

  • One Week Faculty Development Programme · Oriental University, Indore

    Artificial Intelligence using Python

    09/14/20 to 09/19/20

  • Three Day Workshop · SAGE University, Indore

    Emerging Techniques in Data Science

    07/13/20 to 07/15/20

  • One Week Workshop · Bennett University, Noida

    Artificial Intelligence and Machine Learning

    2020

  • One Week Faculty Development Programme · Bennett University, Noida and Fr. Conceicao Rodrigues College of Engineering

    Advanced Deep Learning

    12/02/19 to 12/06/19

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