Shashank Mouli Satapathy

About

Shashank Mouli Satapathy is presently working as an Associate Professor in School of Computer Science and Engineering (SCOPE), VIT University, Vellore. Prior to joining VIT, Vellore, he was working as an Assistant Professor at Manipal University Jaipur, Rajasthan, India. He completed his Ph. D. from the Department of Computer Science & Engineering at National Institute of Technology (NIT) Rourkela, India. He has completed M. Tech. in Computer Science & Engineering from Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, India in 2012. Prior to that, he has completed his Master of Computer Application (MCA) from Silicon Institute of Technology under Biju Pattanaik University of Technology, India in 2009. His research interests include Software Engineering, Software Effort Estimation, Machine Learning, Program Slicing, and Distributed Systems. He is a member of different professional bodies such as IEEE, ACM, IET, CSI. ISCA etc.

Employment

• Vellore Institute of Technology Professor
  2017 - Present
• Manipal University - Jaipur Campus Assistant Professor
  2016 - 2017

Education

• National Institute of Technology Rourkela Ph. D. (CSE)
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (41)

• A Lightweight Hybrid CNN-Fuzzy Logic Approach for Real Time On-Device Document Classification
  2025 DOI: 10.1145/3717383.3717387
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• FastRWDnet: implementation of novel real-time deep video denoising utilizing optimized FastDVDnet
  Innovations in Systems and Software Engineering 2025 DOI: 10.1007/s11334-022-00476-0
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• Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans
  Sustainable Computing: Informatics and Systems 2024 DOI: 10.1016/j.suscom.2024.100980
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• Deep CNN with late fusion for real time multimodal emotion recognition
  Expert Systems with Applications 2024 DOI: 10.1016/j.eswa.2023.122579
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• A Novel Computer Vision Model for Recognition and Evaluation of Mathematical Equations using Deep Learning Technique
  Proceedings of Ieee Conference on Vlsi Device, Circuit and System (ieee Vlsi Dcs) 2022 DOI: 10.1109/VLSIDCS53788.2022.9811455
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• Message Encryption in Images Using LSB Steganography Sequence to Sequence Architecture
  2022 DOI: 10.1007/978-981-16-4807-6_11
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• Virtual Gaming Using Gesture Recognition Model
  2022 DOI: 10.1007/978-981-16-4807-6_12
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• Ontology-Based Modelling of IoT Design Patterns
  Journal of Information and Knowledge Management 2021 DOI: 10.1142/S0219649221400037
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• Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning
  Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2021 DOI: 10.1109/SEAA53835.2021.00056
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• Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction
  Lecture Notes in Computer Science 2021 DOI: 10.1007/978-3-030-87007-2_28
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