About:
Ms. Ashima Tyagi is working as an Assistant Professor in School of Computer Science and Engineering at Galgotias University and has around 2 years of teaching experience at undergraduate and graduate levels. She is also pursuing Ph.D. in Computer Science and Engineering from Motilal Nehru National Institute of Technology (MNNIT Allahabad). Her research area focuses on 'Medical Image Analysis using Machine Learning Techniques to build Computer Aided Diagnosis Systems'. She has presented various research papers in International Conferences. She has published several research papers in renowned journals indexed in SCI, ACM Digital Library, Scopus, Google Scholar, and Research Gate. She has also worked as a Teaching Assistant (TA) in MNNIT Allahabad during her Ph.D. She has also qualified UGC NET in Computer Science with an AIR rank of 153.
She is an organized professional with proven research, programming, teaching and guidance skills. Her teaching philosophy revolves around creating an inclusive and engaging learning environment that encourages critical thinking and problem-solving skills. She believes that every student has the potential to succeed, and it is her responsibility to guide them towards their academic goals. She uses innovative techniques of learning to increase interaction with the students. She believes in understanding the concept than merely passing the exams.
Experience and Designation:
- 2 years of teaching experience
Academic Qualification:
- PhD in Computer Science and Engineering
- MCA in Computer Applications
- Sc in Computer Science and Engineering
Publications: (mention in numbers)
- SCI Article Publications: 1
- Scopus Article Publications: 05
- Non-Scopus/UCG Article Publications: 01
- International/National Conference Publications:03
- Book Chapter Publications: 00
- Book Publications: 01
- Patent/Grant Publications: 00
Award & Recognition:
- Qualified UGC-NET in Computer Science in 2019
Programming Skill/Knowledge:
- Python programming
- C/C++, SQL
- Data Structures
- Database Management System
- Operating System
- Algorithms
- Machine Learning
Area of Interest:
- Machine Learning
- Data Science
- Health Analytics
- Computer Vision
Medical imaging