Prof. Megha Bhushan | Healthcare | Best Researcher Award

Prof. Megha Bhushan, Healthcare, Best Researcher Award

Megha Bhushan at University of Seville, Spain

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🎓 Education:

Dr. Megha earned her Ph.D. in Computer Science and Engineering from Thapar University, Patiala, Punjab, in 2018, with a thesis titled “A Generic Framework for Improving Software Product Line using an Ontological Rule-Based Approach.” She holds a Master’s in Engineering from the same institution, where she focused on improving Software Product Line Engineering using AOP, LEL, and UML. She completed her Bachelor’s of Technology in Information Technology from the University Institute of Information Technology, Himachal Pradesh University, Shimla, HP.

🏫 Professional Experience:

Dr. Megha currently serves as an Assistant Professor in the Department of Computer Languages and Systems at the University of Seville, Spain, since April 2024. She also holds the position of Honorary Adjunct Faculty at the School of Computing, Maryam Abacha American University of Nigeria, Kano since July 2024. Her previous roles include Assistant Dean, Research & Consultancy at DIT University, Dehradun, Uttarakhand, India, and various faculty positions at esteemed institutions like Koneru Lakshmaiah Education Foundation and Chitkara University. Dr. Megha has over 9.11 years of teaching and research experience, contributing significantly to the academic community through her various roles and responsibilities.

🔬 Research Interests:

Dr. Megha’s research spans various domains including Artificial Intelligence, Machine Learning, Knowledge Representation, Knowledge-based Systems, Rule-based Systems, Software Product Line, Software Quality, Ontologies, and Healthcare. She has been an active research team member in significant projects such as “Data-intensive software product lines” funded by the Ministry of Science and Innovation and “Deficit irrigation programming system for crops Operational Group” funded by the Andalusian Government, Spain.

🎖️ Grants and Fellowships:

Dr. Megha has been awarded several prestigious grants and fellowships, including the Rajiv Gandhi National Fellowship by the University Grants Commission, New Delhi, for her work on improving Software Product Line using an Ontological Rule-Based Approach. She also received the Student Presenter Scholarship at the Grace Hopper Celebration India (GHCI) 2017.

🏆 Achievements:

Dr. Megha has received numerous accolades for her contributions to research and education. She has been an active member of various committees and organizations, serving in roles such as Program Committee Member, Publicity and Sponsorship Committee Member, and Technical Program Committee Member for multiple international conferences. She has also been recognized with awards like “Global Leader in Excellence in Education and Outreach” and “Excellence in Research at the University level” at DIT University.

📜 Memberships and Associations:

Dr. Megha is a member of several professional organizations, including The Society of Digital Information and Wireless Communications (SDIWC) and the Education Research and Development Association (ERDA). She is also a fellow member of Eudoxia Research University and The Research World, International Society of Scientists and Engineers. Additionally, she serves on the advisory panel of The International Forum for Educators and Researchers (IFER).

📖 Publications:

Impact of machine learning and deep learning techniques in autism
  • Authors: Bhushan, M., Singal, M., Negi, A.
  • Journal: Future of AI in Medical Imaging
  • Year: 2024
A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance
  • Authors: Bhushan, M., Vyas, S., Mall, S., Negi, A.
  • Journal: International Journal of System Assurance Engineering and Management
  • Year: 2023
Autonomous navigation of rovers using ML and DL techniques
  • Authors: Bhushan, M., Singal, M., Layek, S., Negi, A.
  • Journal: AI-Enabled Social Robotics in Human Care Services
  • Year: 2023
Classifying breast cancer using transfer learning models based on histopathological images
  • Authors: Rana, M., Bhushan, M.
  • Journal: Neural Computing and Applications
  • Year: 2023
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
  • Authors: Rana, M., Bhushan, M.
  • Journal: Multimedia Tools and Applications
  • Year: 2023