Dr. Vineet Kumar Awasthi
Assistant Professor
Work Experience
4 Years
Area of Specialization
Data Mining, Machine Learning, Optimization
Projects & Patents
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Education
Ph.D. (Computer Science), M. Phil (Computer Science), MCA
Achievments/Awards/Honors
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Publications
1. “An integrated K-means-GP approach for US stock fund diversification and its impact due to COVID-19” is published at 2022 in Int. J. Computational Economics and Econometrics (Inder Science, Scopus Indexed Journal). 2. “An Improved and Customized Hybrid of Deep and Machine Learning Technique Model for Handwritten Digit Recognition” is published at 2022 in SAMRIDDHI Journal, (UGC Care Listed Journal). 3. “Coronary Artery Disease Classification using Deep Neural Network and Ensemble Models Optimized by Particle Swan Optimization” is published at 2022 in International Journal of Applied Metaheuristic Computing, IGI Global (ESCI, Scopus Indexed Journal). 4. (2021), “Detection of lung nodule and cancer using novel Mask-3 FCM and TWEDLNN algorithms”. Measurement. 172:1-14 (Elsevier, SCI, Scopus Indexed Journal). 5. (2021), “A Novel Design of Classification of Coronary Artery Disease Using Deep Learning and Data Mining Algorithms”. Revue d'Intelligence Artificielle | IIETA. 35(3):209-215. (Scopus Indexed Journal) 6. (2021), “An Ensemble Model With Genetic Algorithm for Classification of Coronary Artery Disease”. International Journal of Computer Vision and Image Processing , IGI Global. 11(3):70-83 (UGC- Care List Journal) 7. (2021), “Design Of CNN Based Model for Handwritten Digit Recognition Using Different Optimizer Techniques”. Turkish Journal of Computer and Mathematics Education. School: School of Mathematical and Computational Science Department: Computer Science & Information Technology Phone: 9926709807 Email: proffvineet@gmail.com Personal Webpage Link: 12(11): 3812-3819. 8. (2021), “Novel Deep Neural Network Model for Handwritten Digit Classification and Recognition”. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT). 2(2):30-35. DOI: 10.48175/IJARSCT- 781 9. (2021), “Selection of Foreign Players in T20 Cricket League Using Multiple Criteria Decision Making (MCDM) Techniques”. Global Journal of Computer and Engineering Technology (GJCET). 1(1):19-27. 10. (2021), “Classification of Coronary Artery Disease Using Multilayer Perceptron Neural Network”. International Journal of Applied Evolutionary Computation, IGI Global. 12(3):35-43. DOI: 10.4018/IJAEC.2021070103 11. (2019), “Index Ranking and Performance Evaluation of Shanghai Stock Exchange (SSE) Using AHP and TOPSIS Method”. International Journal of Computer Sciences and Engineering (IJCSE). 7(3):19-23 (UGC Approved). 12. (2018), An Integrated Three Tier Architecture of AHP-GP for Stock Portfolio Management. International Journal of Pure and Applied Mathematics. 118(19):115- 122.(Scopus Indexed Journal) 13. (2017), Expert Portfolio System Using Integrated MCDM-GP Approach. Review of Business and Technology Research. 14(2): 1-6. 14. (2016), “Application of TOPSIS Method for Stock Index Ranking”. Journal of Global Information Technology. 11 (1): 37-43. (UGC Approved) 15. (2015), “AHP Method Applied for Portfolio Ranking of Various Indices and Its Year Wise Comparison”. International Journal of Research Studies in Computer Science and Engineering (IJRSCSE). 53-57.