Dr. Shrawan is an assistant professor of IT & Systems at Indian Institute of Management, Sirmaur. He received his Fellow (FPM) in the area of Information Systems from Indian Institute of Management Indore. During his FPM, he worked on the study on email spam classification using machine learning techniques where he developed some improved and novel machine learning algorithms for spam classification. Prior to FPM, he did M.Tech. in the area of Information Technology from Indian Institute of Information Technology Allahabad, M.Sc. in the area of Electronics from University Institute of Technology, C.S.J.M. University Kanpur and B.Sc. (PCM) from C.S.J.M. University Kanpur. Before joining IIM Sirmaur, he worked at BML Munjal University Gurgaon as assistant professor of Information Systems and Business Analytics at the School of Management.
His Teaching interest includes Management Information Systems, Business Intelligence and Analytics, Enterprise Resource Planning, Organisational reporting (COGNOS BI), Sentiment Analysis (IBM Watson, R), Database and Data warehousing, Machine Learning etc. He has a rich knowledge on the software tools like SPSS, MATLAB Simulations, R, WEKA Clementine, IBM Info sphere, IBM Watson, IBM COGNOS, IBM TM and some other business analytics tools.
Assistant Professor (IT & Systems), Indian Institute of Management, Sirmaur (11th Sep 2017 to present)
Assistant Professor (IT & Systems), School of Management, BML Munjal University Gurgaon (1st May 2015 to 5th September 2017)
Natural Language Processing, Text Mining, Data Mining, Machine Learning, Social Media Analytics, Sentiment Analysis, Big Data and E-Commerce
Trivedi, S. K et al. (2017) Factors Identification of Online Reputation and Relationship with Trust : A Study of Generation Y International Journal of Business Information Systems (Inder-science publisher, C Class as per ABDC, Scopus Indexed)
Trivedi, S. K. & Dey, S. (2016). A Novel Combining Classifier Approach for Detecting Unsolicited Emails. Published In Vine: Journal of Information and Knowledge Management (Emerald Publication, B class as per ABDC list, Scopus Indexed).
Trivedi, S. K., & Dey, S. (2014). Interaction between feature subset selection techniques and machine learning classifiers for detecting unsolicited emails. ACM SIGAPP Applied Computing Review, 14(1), 53-61.
Trivedi, S. K. & Kaushik, K. (2014). Identification of the construct related to IT investment on supply chain integration for improving the firm performance. International Journal of Computer Applications, 98(2):44-47
Trivedi, S. K. & Dey, S. (2013). Interplay between Probabilistic Classifiers and Boosting Algorithms for Detecting Complex Unsolicited Emails. Journal of Advances in Computer Network, 1(2):132-136.
Trivedi, S. K. & Dey, S. (2013). Effect of Various Kernels and Feature Selection Methods on SVM Performance for Detecting Email Spams. International Journal of Computer Applications, 66(21):18-23.
Trivedi, S. K., & Sharma, A. (2012). An Evolution of Corporate Software Support Systems. In Information and Knowledge Management (Vol. 2, No. 8, pp. 84-90).
Trivedi, SK., Dey, S, Kumar, A. (2017) Advanced Data Mining Techniques and Applications for Business Intelligence IGI Global, USA (Published).
Kumar, A., Trivedi, SK, Das, M, (2016) Intelligent Techniques and Modeling Applications in Marketing Analytics IGI Global, USA (Published).
Yadav, M., Trivedi, SK, Kumar, A, Harnessing Human Capital Analytics for Competitive Advantage IGI Global, USA (Progress).
Ponnuru, K. R., Gupta, R., & Trivedi, S. K. (2017). Sentiment Analysis with Social Media Analytics, Methods, Process, and Applications. In Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence (pp. 192-208). IGI Global.
Trivedi, S. K.. (2017). Pair Programming: An evaluation through SWOT analysis. UAC Fab conference 2017, Bangkok, Thailand.
Trivedi, S. K.. & Tripathi, A (2016). Sentiment analysis of Indian movie review with various feature selection techniques. IEEE ICACA conference at Coimbatore, India, will published By IEEE Explorer
Trivedi, S. K. (2016). A Study of Machine Learning Classifiers for Spam Detection. 4th IEEE ISCBI conference at Olten, Switzerland published By IEEE Explorer
Trivedi, S. K. & Dey, S. (2016). A Combining Classifiers Approach with Committee Selection for Detecting Spams. 30th IEEE AINA conference at Crans Montana, Switzerland and will published By IEEE Explorer
Trivedi, S. K. & Dey, S. (2016). A comparative Study on Supervised Machine Learning Classifiers for detecting Unsolicited Email. 2nd ACM ICTCS conference at Udaipur, India and will publish By ACM Digital Library
Trivedi, S. K. & Dey, S. (2014). A Study of Ensemble based Evolutionary Classifiers for Detecting Unsolicited Emails. Proceedings of the ACM-SIGAPP Research in Adaptive and Convergent Systems (ACM RACS 2014). Towson, MD, USA. October 5-8, 2014 (Published and indexed in ACM digital library).
Trivedi, S. K. & Dey, S. (2013). An Enhanced Genetic Programming Approach for Detecting Unsolicited Emails. Published and Presented on 16TH IEEE International Conference on Computational Science and Engineering (CSE 2013), Sydney, Australia (indexed in IEEE eXplorer)
Trivedi, S. K. & Dey, S. (2013). Effect of Feature Selection Methods on Machine Learning Classifiers for Detecting Email Spams. Proceedings of the ACM-SIGAPP Research in Adaptive and Convergent Systems (ACM RACS 2013). Montreal, Canada. October 1-4, 2013. (Published and indexed in ACM digital library).
Trivedi, S. K. & Dey, S. (2013). Interplay between Probabilistic Classifiers and Boosting Algorithms for Detecting Complex Unsolicited Emails. ICINS conference, Bangkok, Thailand (8, 9’April 2013)
Trivedi, S. K., & Singh, R. K. (2012) Enhancement of energy efficiency in heterogeneous wireless sensor network using multi-hop transmission technique. IEEE International Conference on Wireless Communication and Sensor Network. (Indexed in IEEE).
Qualified GATE (EC) in Three Consecutive Years (2007, 2008, 2009).