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Dr. Apurvanand Sahay

Assistant Professor, School of Computing, Bengaluru

Qualification: B.Sc. (H), M.C.A., MTech, Ph.D.
a_sahay@blr.amrita.edu
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Research Interest: Model Driven Engineering, Machine Learning applications to Bioinformatics

Bio Publications Workshop
Bio

Dr. Apurvanand Sahay is an Assistant Professor at School of Computing, Amrita Vishwa Vidyapeetham Bangalore. His research interests are in the field of model-driven engineering and applying machine learning to bioinformatics. He has done Ph.D. in the topic of “Cloud-Based Low-Code Model Transformations Composition and Execution” in the field of Model-Driven Engineering under European Union funded “Lowcomote” project. He has completed his Ph.D. from L’Aquila University, Italy in the year 2023. Currently, he has been exploring the field of bioinformatics especially the gene expression datasets and its applications using machine learning.

He has done M.Tech (CSE) from Amrita Vishwa Vidyapeetham, Bangalore campus. He got an opportunity in Indo-Italian dual degree program of Amrita which had been done in his 2nd year of masters from L’Aquila University. He got 2 master’s degrees in CSE and Informatica from two universities (Amrita Vishwa Vidyapeetham, Bangalore and L’Aquila University) in 2018. He also did Master of Computer Applications (M.C.A.) from Lucknow University in 2015 and B.Sc (H) Computer Science from Delhi University in 2012

Qualification : B.Sc. (H) Computer Science, M.C.A., MTech (CSE) along with MTech (Informatica), Ph.D.

Publications

Journal Article

Year : 2023

Analyzing business process management capabilities of low‐code development platforms

Cite this Research Publication : Apurvanand Sahay, Davide Di Ruscio, Ludovico Iovino, and Alfonso Pierantonio. "Analyzing business process management capabilities of low‐code development platforms." Software: Practice and Experience 53, no. 4 (2023): 1036-1060.

Year : 2020

Integration of Prophet Model and Convolution Neural Network on Wikipedia Trend Data

Cite this Research Publication : A. Sahay and Amudha J., “Integration of Prophet Model and Convolution Neural Network on Wikipedia Trend Data”, Journal of Computational and Theoretical Nanoscience, vol. 17, no. 1, pp. 260–266, 2020.

Publisher : Journal of Computational and Theoretical Nanoscience, American Scientific Publishers

Conference Proceedings

Year : 2020

Supporting the understanding and comparison of low-code development platforms

Cite this Research Publication : Apurvanand Sahay, Arsene Indamutsa, Davide Di Ruscio, and Alfonso Pierantonio. "Supporting the understanding and comparison of low-code development platforms." In 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 171-178. IEEE, 2020.

Publisher : IEEE

Year : 2017

Optimal election winning search algorithm for distributed systems

Cite this Research Publication : A. Sahay, Dr. Tripty Singh, Karthik, G., and Angadi, S., “Optimal election winning search algorithm for distributed systems”, 2017 2nd International Conference on Telecommunication and Networks (TEL-NET). IEEE, 2017.

Publisher : 2nd International Conference on Telecommunication and Networks (TELNET-2017)

Workshop
  • Sahay, Apurvanand, Davide Di Ruscio, and Alfonso Pierantonio. “Understanding the role of model transformation compositions in low-code development platforms.” In Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, pp. 1-5. 2020.
  • Sharaf, Mohammad, Henry Muccini, and Apurvanand Sahay. “A comparative analysis of self-adaptive patterns in cyber-physical systems.” In Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, pp. 1-7. 2018.
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