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Faculty

Ms. Silki Kharaliya

Ms. Silki Kharaliya

Assistant Professor
Department of Computer Science & Information Technology
Email Id :- silki.kharaliya@kiet.edu

Emp. Code :- 21170

B.Tech., M.Tech., Ph.D. (P) - GGSIPU, New Delhi

Information Technology

Ms. Silki is an Assistant professor in the Department of Computer Science and Information Technology at KIET Group of institutions, Delhi-NCR, Ghaziabad, India. She has completed B.tech in Computer Science and Engineering and M.tech in Information Technology from University School of Information and Communication Technology(GGSIPU), Delhi and now currently she is pursuing Ph.D. from USICT (GGSIPU). Her current research area is Software Engineering and Machine Learning. She is a member of IAENG.
   
  • Kanika Chauhan, Silki Kharaliya, Ankit Kumar Saini (2022-07-15). DEEP LEARNING BASED INTELLIGENT WEATHER PREDICTION FOR FUTURE AGRICULTURE. Indian Patent Office. Application Number:202211038708 A
  • HARSH VARDHAN, Dr. Sumita R. Chaudhuri, Rishabh Jain,Yuvraj Singh,Ayush Saini,Lalita Mishra,Latika Sharma,Silki Kharaliya,Dr. Jyoti Srivastava,Ankit Kumar Saini,Vinay kumar (2023-06-23). FITSETGO: UNLEASHING THE POTENTIAL OF GAMIFICATION IN FITNESS APPS FOR IMPROVED EXERCISE ADHERE AND WELL-BEING USING MACHINE LEARNING. Indian Patent Office. Application Number:202311036838 A
  • Praveen Kumar Gupta,Dr. Gaurav Agarwal, Madhu Gautam,Ankit Saini,Silki Kharaliya,Harsh vardhan (2023-06-16). DEEP LEARNING IN CARDIAC BIOMETRICS: ELECTROCARDIOGRAM-BASED PERSON IDENTIFICATION WITH LONG SHORT-TERM MEMORY NETWORK ARCHITECTURE. Indian Patent Office. Application Number:202311033799 A
  • Harsh Vardhan, Mr. Ankit Kumar Saini, Ms. Silki Kharaliya, Mr. Pramod Nath, Mrs. Shikha Jain, Mr. Upendra Mishra (2022-06-17). MACHINE LEARNING CLUSTERING APPROACH FOR RESOURCE SHARING IN DRONE ASSISTED FLYING AD HOC NETWORK. Indian Patent Office. Application Number:202211032992 A