Ms. Surbhi Vijh

About

Ms. Surbhi Vijh has received a B.tech (Computer Science & Engineering) degree from AKTU. She has received M.Tech (Computer Science & Engineering) degree from Amity University, Noida, (Silver Medallist, honored by Sameer Maheshwari, CEO and Co-founder of Healthkart). She has been pursuing PhD from Amity University, Noida. She has authored and co-authored various research papers in reputed Journals and conferences. She has chaired several technical sessions and has reviewed papers of many International conferences from Springer, & IEEE. She has guided various UG and PG students in their research-oriented work.

Experience

• 4 years 

Qualification

• B.Tech , M.Tech, PhD (P)

Award & Recognition

• Outstanding contribution award from KIET Group of Institutions
• CV Raman Award for research work at KIET Group of Institutions
   

Research

International Journals

• Vijh, S., Gaurav, P., & Pandey, H. M. (2020). Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection. Neural Computing and Applications, 1-14.( SCI indexed, impact factor =5.6)
• Vijh, S., Saraswat, M., & Kumar, .S (2021). A new complete color normalization method for H&E stained histopathological images . Applied Intelligence, Springer (SCI indexed , Impact factor = 3.9)
• Vijh, S., Kumar, S.,& Saraswat, M (2022) Automatic Multilevel Image Thresholding Segmentation using Hybrid Bio-inspired Algorithm and Artificial Neural Network for Histopathology Images , Multimedia tools and application, Springer (SCI indexed , impact factor = 2.75)
• Vijh, S., Kumar, S.,& Saraswat, M (2022) New bag of feature for histopathology image classification using reinforced cat swarm algorithm and weighted gaussian mixture modelling , Multimedia tools and application, Complex & Intelligent Systems, Springer  
• (SCI indexed , impact factor = 6.9)
• Vijh, S., Gaurav, P., & Pandey, H. M. (2021) Brain Tumor Segmentation Using Extended Weiner and Laplacian Lion Optimization Algorithm with Fuzzy Weighted kMean Embedding Linear Discriminant Analysis . Neural Computing and Applications , Springer (, SCI indexed , impact factor =5.6).

International Conference 

• Vijh, S., & Gaur, D. (2017, December). Secured Biometric Template Matching by Using Linear Discriminant Analysis. In International Conference on Health Information Science (pp. 194-203). Springer, Cham.
• Vijh, S., Gaur, D., & Kumar, S. (2020, January). Diet Recommendation for Hypertension Patient on basis of Nutrient using AHP and Entropy. In 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 364-368). IEEE.
• Vijh, S., Pandey, A., Vijh, G & Kumar, S. (2021, January). Stock forecasting for time series data using convolutional neural network. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE.
• Jaiswal, A., Pandey, A. K., Kumar, R. R., Omar, S., & Vijh, S. (2021, September). Predictive analysis of Covid on economy of India using machine learning technique. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-4). IEEE. 
• Singh R, Vijh,S (2021). An Efficient Brain Tumor Detection Based Using Modified Tree Growth Algorithm and Random Forest , 6th International conference on International Conference on Image Information Processing, IEEE.

Book Chapter  

• Vijh, S., Sharma, S., & Gaurav, P. (2020). Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network. In Data Visualization and Knowledge Engineering (pp. 171-194). Springer, Cham. (Web of science indexed ). 
• Vijh, S., Dubey, S., (2022). Recommendation Model of Quality Nutrition Diet Criteria for Cardiovascular Patient , CRC Press. (Scopus indexed)

Certifications

• Python for Data Science by NPTEL 
• Programming in Java by NPTEL 
• Machine Learning & Artificial Intelligence by Amity University 
• Neural Networks and Deep learning by Deeplearning.ai 
• Certified training in Java Technology from NIIT Machine Learning for all from coursera. 
• Introduction to data science using Python from coursera
   

Area of Interest

• Machine Learning, 
• Image Processing 
• Data Analytics