Dr.Sachi Nandan Mohanty
Singidunum University, Indian Institute of Technology Kharagpur
0000-0002-4939-0797
About
Prof. Dr.Sachi Nandan Mohanty, received his Postdoc from IIT Kanpur in the year 2019 and Ph.D. from IIT Kharagpur in the year 2015, with an MHRD scholarship from Govt of India.
Prof. Mohanty's research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, and Computational Intelligence. Prof. S N Mohanty received 4 Best Paper Awards during his Ph.D. at IIT Kharagpur from International Conference in Beijing, China, and the other at International Conference on Soft Computing Applications organized by IIT Roorkee in the year 2013. He has published in 82 SCI Journals. As a Fellow of the Indian Society Technical Education (ISTE), The Institute of Engineering and Technology (IET), Computer Society of India (CSI), Member of the Institute of Engineers and IEEE Computer Society, he is actively involved in the activities of the Professional Bodies/Societies.
He has been bestowed with several awards which include “The best Researcher Award from Biju Pattnaik University of Technology in 2019”, “The best Thesis Award(First Prize) from Computer Society of India in 2015”, “Outstanding Faculty in Engineering Award” from Dept. of Higher Education, Govt. of Odisha in 2020. He has received International Travel fund from, SERB, Dept of Science and Technology, Govt. of India for chair the session international conferences USA in 2020.
Dr.Mohanty currently reviewer of many journal like journal of Robotics and Autonomous Systems (Elsevier),Computational and Structural Biotechnology (Elsevier),Artificial Intelligence Review (Springer),Spatial Information Research (Springer).
Twenty Edited book, published by Wiley, CRC, and Springer Nature, and four authors’ book on his Credit.
Employment
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Singidunum University Professor
Education
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Indian Institute of Technology Kharagpur Ph.D2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (627)
- GREEN-LM: Carbon-aware neural language models with energy-adaptive layers and sparse knowledge distillation Save
- Blockchain-enabled hybrid CNN–Transformer framework with Integrated Gradients for Parkinson’s disease detection Save
- Improving IoT security through federated deep Q-learning with realistic traffic modelling Save
- Explainable Artificial Intelligence With Cloud and Blockchain-as-a-Service Model for Consumer Electronics in Connected Healthcare Save
- Combining Bioinspired Red Kite Optimization and Deep Learning for Effective COVID-19 Detection in Chest Radiography Save
- Corrections to “Cardiotocography Data Analysis for Fetal Health Classification Using Machine Learning Models” Save
- Spatial–Spectral Prototype Calibration Network for Few-Shot Multispectral Object Detection in Remote Sensing Save
- Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data Save
- Trustworthy and Explainable LLM Security Frameworks Save
- Deep Learning Explainability with Local Interpretable Model-Agnostic Explanations for Monkeypox Prediction Save