Artika Singh

Assistant Professor
PhD (Pursuing- Outburst Data Analytics), M.Tech (Computer Science and Engineering ), B.E. (Information Technology)

Education Qualification:

PhD (Pursuing- Outburst Data Analytics), M.Tech (Computer Science and Engineering ), B.E. (Information Technology)

Specialization:
Data Mining, Data Analytics, Computer Networks

Academic Experience: (Number of Experience: = 10 Years)

Lecturer in computer engineering department of St. Francis Institute of Technology (Mumbai) from Jan to May 2013.
Assistant Professor (Department of Computer Engineering), Mukesh Patel School of Technology Management & Engineering, NMIMS University, Mumbai Campus, India

Non Academic Experience: (Number of Experience: = 2.2 years)

Assistant System Engineer in developing team of General Electric (GE) project in TATA CONSULTNCY SERVICES, India, from Oct 2007 to Nov 2009.

Certifications:

Applied Analytics Using SAS Enterprise Miner
SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression
Microsoft Certifications like Windows XP (70-260), Windows Server 2003(70-290) and Windows (70-294)

Service Activities (Within Organization)

Service Activities (Outside Organization)

Program Committee member of 10th International Conference on Signal and Image Processing (SIGL 2023)
Program Committee member of 7th International Conference on Advances in Computing and Data Sciences (ICACDS)-2023, 2024
Peer Reviewer in IEEE International Conference on Big Data and Computational Intelligence (ICBDCI)

Community/Social Services:

Journal Publications

Joshi, S., Biyani, A., Kamdar, R., Bhajan, A.,& Singh, A. (2015). Review on mobile application for children suffering from autism.International Journal of Advanced Research in Computer Science and Software Engineering,5(5), 831-834.
Snehal Singhi Artika Singh, Vikram Prabhu, Harsh Jhaveri, Kiran Shenoy. (2015). Intelligent Ground Vehicle and Automated Driving. International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE),5(5),798-800.
Shreya Monani, Shubham Gupta, Shubhangi Jain, Vidushi Mishra, Artika Singh. (2016). Survey on Prediction of Customer Churn Analysis in a Telecommunications Industry. International Journal for Research in Engineering Application and Management, (07), 22-26.
Shah, Y., Tripathi, P., Upadhyay, A., &Singh, A. (2018). A COMPARATIVE STUDY OF OBJECT TRACKING ALGORITHMS AND A PROPOSED WORK ON AN OBJECT TRACKING QUADCOPTER.International Journal of Advanced Research in Computer Science,9(2).
Bajoria, A., Bhatnagar, S., Bhide, J., Birla, S., & Singh, A. (2018). A QUALITATIVE ANALYSIS OFWIRELESS ROBOTIC ARMS.International Journal of Advanced Research in Computer Science,9(2).
Shubhangi Jain Artika Singh, Manisha Jailia. (2020). Performance Analysis of Predictive Models using Generic Datasets. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(3), 3612-3617.

Conference Publication:

Mehta, R. P., Sanghvi, M. A., Shah, D. K., & Singh, A. (2020). Sentiment analysis of tweets using supervised learning algorithms. InFirst International Conference on Sustainable Technologies for Computational Intelligence(pp. 323-338). Springer, Singapore.
Shah, D. K., Sanghvi, M. A., Mehta, R. P., Shah, P. S., & Singh, A. (2021). Multilabel Toxic Comment Classification Using Supervised Machine Learning Algorithms. InMachine Learning for Predictive Analysis(pp. 23-32). Springer, Singapore.
Mehta, K., Modi, S., Tomy, C., & Singh, A.(2019, March). Analysis of Stocks by the Use of Clustering and Classification Algorithms. In2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)(pp. 1-5). IEEE.
Raghunathan, A., Santani, A., Sharma, M., Shukla, D., & Singh, A. (2021, May). Overview of Present Methods to Predict Social Media Metrics of a Post. In2021 2nd International Conference for Emerging Technology (INCET)(pp. 1-5). IEEE.

Book Chapter Reviewer

Reviewed chapter of Dr. Ahmed Elngar, Dr. Ambika Pawar, Prathamesh Churi, "Data Protection and Privacy in Healthcare: Research and Innovations”, CRC Press, Taylor and Francis LLC, ISBN Number: 978-0-367-50108-2

Academic Profiles: