Richa Singh

Richa Singh is Assistant Professor Research having experience in education sector. Currently, she is associated with Computer Science & Engineering Department -Artificial Intelligence of KIET Group of Institution as an Asst. Professor, focused on AI/ML and Data Science specialization. She has enrolled in Ph.D. (IT) program at Amity University, Lucknow. During her career, she had attended various FDPs, workshops, seminars and several guest lecturers. She had published multiple research papers in International / National Journals & conferences and published book chapters in SCOPOUS indexed journal. Richa is an active member of Computer Society of India (CSI), INSC and International Association of Engineers (IAENG). She has the faculty co-ordinator of second edition of Smart India Hackathon organised by MHRD, AICTE, i4c. She has been bestowed with “Young Research Award” for her contribution in research sector. She is a reviewer of various research papers of National/ International Journals and Conferences. She is Infosys certified faculty for Agile Software Development Framework and LEX based Foundation with A+ grade. She had invited as a Jury Member by National Institute of Fashion Technology (NIFT), Jodhpur. She had given expert sessions on “StartUp India” in PSIT Kanpur and “AR/VR with examples and introduction to Unity Software” & “Designing Front End for Fashion Brand Website” in National Institute of Fashion Technology (NIFT), Patna.

Publications

Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0: An Analysis of Key Factors and Predictive Model Development
Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0: An Analysis of Key Factors and Predictive Model Development
Richa Singh, Nidhi Srivastava. © 2024. 21 pages.
After graduation, student employability is a crucial issue that has an impact on people's lives, society, and the economy as a whole. Employers are looking for applicants in...
A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems
A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems
Richa Singh, Arunendra Singh, Pronaya Bhattacharya. © 2022. 13 pages.
The rapid industrial growth in cyber-physical systems has led to upgradation of the traditional power grid into a network communication infrastructure. The benefits of...
A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems
A Machine Learning Approach for Anomaly Detection to Secure Smart Grid Systems
Richa Singh, Arunendra Singh, Pronaya Bhattacharya. © 2021. 15 pages.
The rapid industrial growth in cyber-physical systems has led to upgradation of the traditional power grid into a network communication infrastructure. The benefits of...