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Dr. Ranjit Panigrahi

Associate Professor, School of Artificial Intelligence, Faridabad

Qualification: Ph.D. in Computer Applications
ranjit.panigrahi@dl.amrita.edu
ORCID Profile
Research Interest: Machine Learning, Biomedical Data Analysis, Network Security

Bio Publications FDP / Workshops Membership
Bio

Ranjit Panigrahi is an accomplished academician and researcher in the field of Computer Applications, specializing in Biomedical Data Analysis and Cyber Security. He currently holds the position of Associate Professor at the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Delhi NCR campus. Prior to this, he held the position of Associate Professor in the Department of Computer Applications and Head – IT Council at Sikkim Manipal Institute of Technology, located in Majitar, Sikkim, India.Dr. Panigrahi’s academic journey began with a Master of Technology in Computer Sciences & Engineering from Sikkim Manipal Institute of Technology in 2013. He further pursued his passion for research and earned a Ph.D degree in Computer Applications from Sikkim Manipal University in March 2020. His doctoral thesis focused on the “Design & Development of a Host-Based Intrusion Detection System with Classification of Alerts,” reflects his expertise in the field of cybersecurity.As an esteemed member of the academic community, Dr. Panigrahi has demonstrated exceptional dedication and commitment to his profession. Over the years, he has held different positions and responsibilities within the department and currently serves as the Head of the IT Council at the institute.His research contributions have garnered recognition and praise, evident from the many publications he has authored in reputed journals and conferences. He has also contributed significantly to the academic community through the publication in many conference proceedings. He is a sought-after reviewer for various technical publications and has also chaired sessions at prominent international conferences.Beyond his academic achievements, Dr. Panigrahi is also actively engaged in intellectual property research and has secured 5 patents. Outside of his professional life, Dr. Panigrahi is a native of India.

Publications

Conference Paper

Year : 2025

Efficient Source-Level Waste Segregation Using CNN-Based Waste Classifier with IoT-Enabled Smart Bins and Mobile Application

Cite this Research Publication : Krishna Bikram Shah, S. Visalakshi, Biplov Paneru, Ranjit Panigrahi, Efficient Source-Level Waste Segregation Using CNN-Based Waste Classifier with IoT-Enabled Smart Bins and Mobile Application, 2025 International Conference on Emerging Smart Computing and Informatics (ESCI), IEEE, 2025, https://doi.org/10.1109/esci63694.2025.10987985

Publisher : IEEE

Year : 2024

CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments

Cite this Research Publication : Bamidele, CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments, Information Technology and Nanotechnology, [publisher], 2024, [url]

Year : 2022

Current scenarios, obstacles, possibilities, and innovations for sustainable municipal solid waste management following COVID-19 pandemic in Kathmandu valley, Nepal

Cite this Research Publication : Krishna Bikram Shah, S. Visalakshi, K C Avinash Khatri, Ranjit Panigrahi, Current scenarios, obstacles, possibilities, and innovations for sustainable municipal solid waste management following COVID-19 pandemic in Kathmandu valley, Nepal, 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), IEEE, 2022, https://doi.org/10.1109/iccsea54677.2022.9936305

Publisher : IEEE

Year : 2022

An Enhanced DFFNN for Location-Based Services of Indoor Device-Free Submissive Localization

Cite this Research Publication : Joseph Bamidele Awotunde, Agbotiname Lucky Imoize, Akash Kumar Bhoi, Rasheed Gbenga Jimoh, Stephen Ojo, Ranjit Panigrahi, Nasir Faruk, An Enhanced DFFNN for Location-Based Services of Indoor Device-Free Submissive Localization, 2022 5th Information Technology for Education and Development (ITED), IEEE, 2022, https://doi.org/10.1109/ited56637.2022.10051582

Publisher : IEEE

Year : 2021

A Fuzzy Logic Approach for Improved Simulation and Control Washing Machine System Variables

Cite this Research Publication : Tejas V. Bhatt, Akash Kumar Bhoi, Gonçalo Marques, Ranjit Panigrahi, A Fuzzy Logic Approach for Improved Simulation and Control Washing Machine System Variables, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2021, https://doi.org/10.1007/978-981-15-8685-9_73

Publisher : Springer Nature Singapore

Year : 2020

A Statistical Analysis of Lazy Classifiers Using Canadian Institute of Cybersecurity Datasets

Cite this Research Publication : Ranjit Panigrahi, Samarjeet Borah, A Statistical Analysis of Lazy Classifiers Using Canadian Institute of Cybersecurity Datasets, Lecture Notes on Data Engineering and Communications Technologies, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-0978-0_21

Publisher : Springer Singapore

Year : 2020

WEKA Result Reader—A Smart Tool for Reading and Summarizing WEKA Simulator Files

Cite this Research Publication : Ranjit Panigrahi, Samarjeet Borah, Udit Kumar Chakraborty, WEKA Result Reader—A Smart Tool for Reading and Summarizing WEKA Simulator Files, Advances in Intelligent Systems and Computing, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-5788-0_15

Publisher : Springer Singapore

Year : 2020

A Proposal of Rule-Based Hybrid Intrusion Detection System Through Analysis of Rule-Based Supervised Classifiers

Cite this Research Publication : Ranjit Panigrahi, Samarjeet Borah, Debahuti Mishra, A Proposal of Rule-Based Hybrid Intrusion Detection System Through Analysis of Rule-Based Supervised Classifiers, Smart Innovation, Systems and Technologies, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-6202-0_63

Publisher : Springer Singapore

Year : 2020

Suicidal Intent Prediction Using Natural Language Processing (Bag of Words) Approach

Cite this Research Publication : Ononuju Adaihuoma Chidinma, Samarjeet Borah, Ranjit Panigrahi, Suicidal Intent Prediction Using Natural Language Processing (Bag of Words) Approach, Advances in Intelligent Systems and Computing, Springer Singapore, 2020, https://doi.org/10.1007/978-981-15-7394-1_14

Publisher : Springer Singapore

Year : 2017

An Enhanced Intrusion Detection System Based on Clustering

Cite this Research Publication : Samarjeet Borah, Ranjit Panigrahi, Anindita Chakraborty, An Enhanced Intrusion Detection System Based on Clustering, Advances in Intelligent Systems and Computing, Springer Singapore, 2017, https://doi.org/10.1007/978-981-10-6875-1_5

Publisher : Springer Singapore

Journal Article

Year : 2025

A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features

Cite this Research Publication : Diksha Giri, Ranjit Panigrahi, Samrat Singh Bhandari, Moumita Pramanik, Akash Kumar Bhoi, Victor Hugo C. de Albuquerque, A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features, Journal of Big Data, Springer Science and Business Media LLC, 2025, https://doi.org/10.1186/s40537-025-01126-5

Publisher : Springer Science and Business Media LLC

Year : 2024

Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection

Cite this Research Publication : Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Sakinat Oluwabukonla Folorunso, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection, Wireless Personal Communications, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s11277-024-11119-x

Publisher : Springer Science and Business Media LLC

Year : 2024

Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection

Cite this Research Publication : Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Lukman Adebayo Ogundele, Olakunle Olugbenga Solanke, Biswajit Brahma, Ranjit Panigrahi, Akash Kumar Bhoi, Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection, Knowledge and Information Systems, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s10115-024-02068-9

Publisher : Springer Science and Business Media LLC

Year : 2024

Early Malignant Mesothelioma Detection Using Ensemble of Naive Bayes Under Decorate Ensemble Framework

Cite this Research Publication : Akash Moirangthem, Olive Simick Lepcha, Ranjit Panigrahi, Biswajit Brahma, Akash Kumar Bhoi, Early Malignant Mesothelioma Detection Using Ensemble of Naive Bayes Under Decorate Ensemble Framework, Journal of The Institution of Engineers (India): Series B, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s40031-023-00988-8

Publisher : Springer Science and Business Media LLC

Year : 2024

Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection

Cite this Research Publication : Gaurav Pradhan, Gopal Thapa, Ratika Pradhan, Bidita Khandelwal, Ranjit Panigrahi, Akash Kumar Bhoi, Paolo Barsocchi, Optimized Forest Framework with A Binary Multineighborhood Artificial Bee Colony for Enhanced Diabetes Mellitus Detection, International Journal of Computational Intelligence Systems, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s44196-024-00598-2

Publisher : Springer Science and Business Media LLC

Year : 2023

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

Cite this Research Publication : Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi, Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification, Big Data Mining and Analytics, Tsinghua University Press, 2023, https://doi.org/10.26599/bdma.2021.9020017

Publisher : Tsinghua University Press

Year : 2023

Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm

Cite this Research Publication : Joseph Bamidele Awotunde, Ranjit Panigrahi, Bidita Khandelwal, Amik Garg, Akash Kumar Bhoi, Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm, Research on Biomedical Engineering, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s42600-022-00255-7

Publisher : Springer Science and Business Media LLC

Year : 2023

An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes

Cite this Research Publication : M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, Amik Garg, Akash Kumar Bhoi, Paolo Barsocchi, An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes, International Journal of Computational Intelligence Systems, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s44196-023-00184-y

Publisher : Springer Science and Business Media LLC

Year : 2023

Big data analytics enabled deep convolutional neural network for the diagnosis of cancer

Cite this Research Publication : Joseph Bamidele Awotunde, Ranjit Panigrahi, Shubham Shukla, Baidyanath Panda, Akash Kumar Bhoi, Big data analytics enabled deep convolutional neural network for the diagnosis of cancer, Knowledge and Information Systems, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s10115-023-01971-x

Publisher : Springer Science and Business Media LLC

Year : 2022

Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection

Cite this Research Publication : Ranjit Panigrahi, Samarjeet Borah, Moumita Pramanik, Akash Kumar Bhoi, Paolo Barsocchi, Soumya Ranjan Nayak, Waleed Alnumay, Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection, Computer Communications, Elsevier BV, 2022, https://doi.org/10.1016/j.comcom.2022.03.009

Publisher : Elsevier BV

Year : 2022

Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN

Cite this Research Publication : Parvathaneni Naga Srinivasu, Ranjit Panigrahi, Ashish Singh, Akash Kumar Bhoi, Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN, Journal of Circuits, Systems and Computers, World Scientific Pub Co Pte Ltd, 2022, https://doi.org/10.1142/s0218126622503030

Publisher : World Scientific Pub Co Pte Ltd

Year : 2022

Intrusion Detection in Cyber Physical Environment using Hybrid Naive Bayes Decision Table and Multi-objective Evolutionary Feature Selection

Cite this Research Publication : Ranjit Panigrahi, Samarjeet Borah, Moumita Pramanik, Akash Kumar Bhoi, Paolo Barsocchi, Soumya Ranjan Nayak, Waleed Alnumay, Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection, Computer Communications, Elsevier BV, 2022, https://doi.org/10.1016/j.comcom.2022.03.009

Publisher : Elsevier BV

Year : 2019

Dual-stage intrusion detection for class imbalance scenarios

Cite this Research Publication : Ranjit Panigrahi, Samarjeet Borah, Dual-stage intrusion detection for class imbalance scenarios, Computer Fraud & Security, Mark Allen group's Healthcare, Education and Business, 2019, https://doi.org/10.1016/s1361-3723(19)30128-9

Publisher : Mark Allen group's Healthcare, Education and Business

FDP / Workshops
  • 21-25 September 2021 – Computer Vision and Pattern Recognition: Challenges and Opportunities, Organized by: AICTE Training and Learning (ATAL) Academy, All India Council of Technical Education.
  • 13-17 September 2021 – Application of Machine Learning, Organized by: AICTE Training and Learning (ATAL) Academy, All India Council of Technical Education.
  • 06-10 September 2021 – Signal Processing and Machine Learning Techniques: Emerging Trends, Organized by: AICTE Training and Learning (ATAL) Academy, All India Council of Technical Education.
  • 23-27 August 2021 – Short Term Training Program through ICT Mode on “Community Development through Technical Institutes”, Organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Kolkata
  • 02-06 August 2021 – Short Term Training Program through ICT Mode on “Application of MATLAB in Engineering”, Organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Kolkata
  • 19-23 July 2021 – Short Term Training Program through ICT Mode on “Managerial Skills for Technical Teachers”, Organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Kolkata
  • 12-16 July 2021 – Short Term Training Program through ICT Mode on “Problem Based Learning”, Organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Kolkata.
  • 05-09 July 2021 – Short Term Training Program through ICT Mode on “Professional Values and Ethics”, Organized by National Institute of Technical Teachers’ Training and Research (NITTTR), Kolkata
  • 16-22 December 2019 – Student Induction (FDP-SI) at Sikkim Manipal Institute of Technology, Organized by: All India Council of Technical Education.
  • 13-16 November 2017 – Workshop on “Supercomputer Applications in Diverse Fields of Science and Technology”, Sikkim, Organized by: Research and Development Section, Sikkim Manipal Institute of Technology (SMIT) with Assistance from C-DAC, Pune
  • 02 November 2017 – Workshop on “Intellectual Property Rights (IPR) and Patenting”, Sikkim, Organized by: Research and Development Section, Sikkim Manipal Institute of Technology (SMIT) with Assistance from Patent Office, Kolkata
Membership
  • Membership No: 6415916 ACM Computer Science Teachers Association (CSTA
  • Membership No: 138857 International Association of Engineers
  • Membership No: 80348183 International Association of Computer Science and Information Technology
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