Janmenjoy Nayak
EXPERTISE INFORMATION

Research Group

Areas of Interest

1. Applied Artificial Intelligence 2. IoT security 3. Data mining 4. Nature inspired optimization

Dr. Janmenjoy Nayak

Assistant Professor–I, Computer Science

M.Sc., M.B.A., M.Tech., Ph.D., Post Doc

jnayak@ieee.org

7978568017

40
Google Scholar H-Index
118
Google Scholar I10-Index
34
Scopus H-Index
234
Total Publications (count)
PERSONAL INFORMATION

Dr. Janmenjoy Nayak is working as an Assistant Professor, P.G. Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo (MSCB) University, Baripada, Mayurbhanj, Odisha, India. He has been listed in Top 2% Scientists (Category: Computer Science & Artificial Intelligence) in the World by Stanford University and Elsevier for the year 2023,2024 & 2025. Being two times Gold Medalist in Computer Science in his career, he has been awarded with INSPIRE Research Fellowship from DST, Govt. of India (both as JRF and SRF level) and Best researcher award in Computer Science from Jawaharlal Nehru University of Technology, Kakinada, AP for the AY: 2018-19 and many other awards from national and international academic agencies. He has edited 26 books and 12 Special Issues on the applications of Computational Intelligence, Soft Computing, and pattern recognition, published by reputed international publications like Elsevier, Springer, IEEE etc. With a Google scholar Index of 6800+ and h-index 40, he has published more than 230+ referred articles in various book chapters, conferences and International repute peer reviewed journals. Currently he is working as an Associate Editor of the Journal IEEE ACCESS and Editorial Board member of more than 70+ International reputed journals. He has a total of 15+ years of experience in both teaching and research. He is the Senior member of IEEE and life member of some of the reputed societies like CSI India, SCRS etc. He is the Main project investigator of 03 funded projects of Govt. of Odisha in the domain of sustainable agriculture rural education & smart healthcare practices. He has successfully conducted and is being associated with 20+ International repute series conferences like ICCIDM, CIPR etc. His area of interest includes IoT security, data mining, nature inspired optimization and Applied Artificial Intelligence .

  • PostDoc – 2021, Indian Statistical Institute (ISI), Bangalore
  • Ph.D. – 2017, Veer Surendra Sai University of Technology (VSSUT), Burla
  • M.Tech – 2011, Fakir Mohan University (FMU), Balasore
  • P.G. – 2009, Ravenshaw University (RU), Cuttack

  • Assistant Professor – MSCB University, Baripada, Odisha (2022 – Continuing)

INTERNATIONAL REFERRED JOURNALS (In Chronological Order):

  • “Fuzzy and Real Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment”, IEEE Transactions on Industrial Informatics, ISSN: 1551-3203, Vol. 17, Issue 6, pp. 4298–4307 [I.F.: 10.215]
  • “Intelligent Secure Ecosystem based on Meta-heuristic and Functional Link Neural Network for Edge-of-Things”, IEEE Transactions on Industrial Informatics, Vol. 16, No. 3, pp. 1947–1956, ISSN: 1551-3203 [I.F.: 10.215]
  • “An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 from Radiological Images”, IEEE Transactions on Fuzzy Systems,
    DOI: 10.1109/TFUZZ.2021.3097806 [I.F.: 12.029]
  • “A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data”, Journal of King Saud University – Computer and Information Sciences, Elsevier, Vol. 30(1), pp. 120–139 [I.F.: 13.473]
  • “A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past, Present and Future”, Archives of Computational Methods in Engineering, Springer, pp. 1–68 [I.F.: 8.171]
  • “25 Years of Particle Swarm Optimization: Flourishing Voyage of Two Decades”, Archives of Computational Methods in Engineering, Springer, Vol. 30(3), pp. 1663–1725 [I.F.: 8.171]
  • “A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past, Present and Future”, Archives of Computational Methods in Engineering, Springer, Vol. 31(5), pp. 2717–2784 [I.F.: 8.171]
  • “An Improved Moth-Flame Optimization algorithm with hybrid search phase”, Knowledge-Based Systems, Elsevier, Vol. 191, pp. 1–14 [I.F.: 8.038]
  • “License Plate Recognition Using Neural Architecture Search for Edge Devices”, International Journal of Intelligent Systems, Wiley, Vol. 37(12), pp. 10211–10248 [I.F.: 8.709]
  • “Generation of overlapping clusters constructing suitable graph for crime report analysis”, Future Generation Computer Systems, Elsevier, Vol. 118, pp. 339–357 [I.F.: 7.187]
  • “Short-Term Solar Irradiance Forecasting Model Based on Hyper-parameter Tuned LSTM via Chaotic Particle Swarm Optimization Algorithm”, Case Studies in Thermal Engineering [I.F.: 6.4]
  • “Intelligent food processing: Journey from artificial neural network to deep learning”, Computer Science Review, Elsevier, Vol. 38, pp. 1–32 [I.F.: 7.707]
  • “Hyper-parameter tuned Light Gradient Boosting Machine using Memetic Firefly Algorithm for Hand Gesture Recognition”, Applied Soft Computing, Elsevier, Vol. 107, 107478 [I.F.: 6.725]
  • “A deep intelligent framework for software risk prediction using improved firefly optimization”, Neural Computing and Applications, Springer, Vol. 35(26), pp. 19523–19539 [I.F.: 6.0]
  • “Hybrid Bayesian Optimization Hypertuned Catboost Approach for Malicious Access and Anomaly Detection in IoT Framework”, Sustainable Computing: Informatics and Systems, Elsevier, Vol. 36, pp. 1–20 [I.F.: 5.7]
  • “Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network”, Digital Communications and Networks, Elsevier, Vol. 9(1), pp. 125–137 [I.F.: 6.348]
  • “Intelligent System for Covid-19 Prognosis: A State-of-the-Art Survey”, Applied Intelligence, Springer, Vol. 51, pp. 2908–2938 [I.F.: 5.086]
  • “Fusion of Intelligent Learning for COVID-19: A State-of-the-Art Review and Analysis on Real Medical Data”, Neurocomputing, Elsevier, Vol. 457, pp. 40–66 [I.F.: 5.719]
  • “Key moment extraction for designing an agglomerative clustering algorithm-based video summarization framework”, Neural Computing and Applications,
    DOI: 10.1007/s00521-021-06132-1 [I.F.: 5.606]
  • “Ensemble Summarization of Bio-medical Articles integrating Clustering and multi-objective Evolutionary Algorithms”, Applied Soft Computing, Elsevier, Vol. 106,
    DOI: 10.1016/j.asoc.2021.107347 [I.F.: 6.725]
  • “Incremental Classifier in Crime Prediction using bi-objective Particle Swarm Optimization”, Information Sciences, Elsevier, Vol. 562, pp. 279–303 [I.F.: 6.795]
  • “Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization”, Neurocomputing, Vol. 459, pp. 465–480 [I.F.: 5.719]
  • “Deep learning in electrical utility industry: A comprehensive review of a decade of research”, Engineering Applications of Artificial Intelligence, Elsevier, 96 (2020) 104000 [I.F.: 6.212]
  • “Role of Intelligent Computing in COVID-19 Prognosis: A State-of-the-Art Review”, Chaos, Solitons & Fractals, Vol. 138, pp. 1–15 [I.F.: 5.944]
  • “Graph based Feature Selection Investigating Boundary Region of Rough Set for Language Identification”, Expert Systems with Applications, Vol. 158, 113575 [I.F.: 6.954]
  • “Improving exploration and exploitation via a Hyperbolic Gravitational Search Algorithm”, Knowledge-Based Systems, Vol. 193, pp. 1–13 [I.F.: 8.038]
  • “Neural Network and Fuzzy System for the tuning of Gravitational Search Algorithm parameters”, Expert Systems with Applications, Vol. 102, pp. 234–244 [I.F.: 6.954]
  • “Elitist Teaching Learning Based Optimization (ETLBO) with Higher order Jordan Pi-sigma neural network: A Comparative Performance Analysis”, Neural Computing and Applications, Vol. 30(5), pp. 1445–1468 [I.F.: 5.606]
  • “Hybrid Chemical Reaction based Metaheuristic with Fuzzy c-means Algorithm for Optimal Cluster Analysis”, Expert Systems with Applications, Vol. 79, pp. 282–295 [I.F.: 6.954]
  • “A self adaptive harmony search based functional link higher order ANN for non-linear data classification”, Neurocomputing, Vol. 179, pp. 69–87 [I.F.: 5.719]

Conference/Seminar Publications (Selected):

  • “Intelligent Intrusion Detection for Unmanned Aerial Vehicles to Enhance Defense Security System: An Improved Ensemble Learning Approach,”
    2025 7th International Conference on Information Systems and Computer Networks (ISCON), Mathura, India, pp. 1–6,
    DOI: 10.1109/ISCON65210.2025.11341301 [SCOPUS]
  • “Intelligent Intrusion Detection in Military IoT Networks Using Recursive Feature Elimination with Extreme Gradient Boosting,”
    2025 4th International Conference on Range Technology (ICORT), Chandipur, Balasore, India, pp. 1–6,
    DOI: 10.1109/ICORT64008.2025.11115621 [SCOPUS]
  • “Improved Chaotic Firefly Optimization Based Deep Neural Network for Security Preservation in Smart Healthcare,”
    2025 International Conference on Advances in Power, Signal, and Information Technology (APSIT), Bhubaneswar, India, pp. 1–7,
    DOI: 10.1109/APSIT63993.2025.11086281 [SCOPUS]
  • “Development of Deep Learning-Infused Sustainable Paddy Crop Weed Control,”
    6th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2024),
    Lecture Notes in Networks and Systems, Vol. 1153, pp. 627–640, Springer [SCOPUS]
  • “Automatic Detection of Soybean Leaf Disease Using Optimistic Firefly and Dilation CNN,”
    2024 IEEE 21st India Council International Conference (INDICON), IIT Kharagpur, India, pp. 1–6,
    DOI: 10.1109/INDICON63790.2024.10958302 [SCOPUS]
  • “Improved Chaotic Firefly with Light Gradient Boosting Machine Based Intrusion Detection System for Smart Healthcare,”
    IEEE INDICON 2024, Kharagpur, India, pp. 1–6,
    DOI: 10.1109/INDICON63790.2024.10958496 [SCOPUS]
  • “Intrusion Detection System in IoT Smart City Environment using Tree-based Approach with Swarm Optimization,”
    2023 International Conference on Circuits, Power and Intelligent Systems (CCPIS), Bhubaneswar, pp. 1–10,
    DOI: 10.1109/CCPIS59145.2023.10291485 [SCOPUS]
  • “Detection of Malicious Traffic in IoMT Environment Using Intelligent XGBoost Approach,”
    OPJU International Technology Conference (OTCON 2022), pp. 1–10,
    DOI: 10.1109/OTCON56053.2023.10113978 [SCOPUS]
  • “Detection of Brinjal Leaf Diseases based on Superpixel approach using SLIC Clustering,”
    2022 International Conference on Computational Intelligence and Networks (CINE), IEEE, pp. 1–6
  • “Early Detection of Stroke Risk Using Optimized Light Gradient Boosting Machine Approach,”
    ICAIHC 2022, Springer, Vol. 317, pp. 281–291 [SCOPUS]
  • “Light Gradient Boosting Machine in Software Defect Prediction with Feature Selection,”
    ICISS 2022, Springer, Vol. 458, pp. 427–442 [SCOPUS]
  • “Hybrid Semi-Supervised Learning with Nature-inspired Optimization for Intrusion Detection System,”
    ICCPR 2022, Springer, Vol. 480, pp. 580–591 [SCOPUS]
  • “CatBoost Ensemble Approach for Diabetes Risk Prediction,”
    ODICON 2021, IEEE, pp. 1–6,
    DOI: 10.1109/ODICON50556.2021.9428943 [SCOPUS]
  • “Intelligent Computing in IoT-Enabled Smart Cities: A Systematic Review,”
    Green Technology for Smart City and Society Conference, Springer, Vol. 151, pp. 1–21 [SCOPUS]
  • “Perturbation Based Efficient Crow Search Optimized FLANN for System Identification,”
    HIS 2017, Springer, Vol. 734, pp. 204–212 [SCOPUS]

Books Authored (Count: 01):

  • Formal Languages and Automata Theory, Vikas Publishing House, ISBN:
    9325978598

Books Edited (Selected, Count: 29):

  • “Computational Intelligence in Pattern Recognition” (Vol 1 & 2), Lecture Notes in Networks and Systems, Springer, Vol. 1152 & 1153, pp. 1–682, ISBN:
    978-981-97-8089-1 &
    978-981-97-8092-1 (Scopus Indexed)
  • “Intelligent Fractal-Based Image Analysis, Applications in Pattern Recognition and Machine Vision”, Elsevier, Vol. 1, pp. 1–320, ISBN:
    978-0-443-18468-0
  • “Machine Learning for Cyber Physical System: Advances and Challenges”, Intelligent Systems Reference Library, Springer, Vol. 60, pp. 1–406, ISBN:
    978-3-031-54037-0 (Scopus Indexed)
  • “Computational Intelligence in Cancer Diagnosis”, Elsevier, pp. 1–600, ISBN:
    978-032-38-5240-1
  • “Nature-Inspired Optimization Methodologies in Biomedical and Healthcare”, Springer, Vol. 233, pp. 1–310, ISBN:
    978-3-031-17544-2 (Scopus Indexed)
  • “Computational Intelligence in Data Mining”, Springer, Vol. 281, pp. 1–764, ISBN:
    978-981-16-9447-9 (Scopus Indexed)
  • “Innovation in Electrical Power Engineering, Communication, and Computing Technology”, Springer, Vol. 814, pp. 1–574, ISBN:
    978-981-16-7076-3 (Scopus Indexed)
  • “Big Data Analytics and Intelligent Techniques for Smart Cities”, CRC Press, pp. 1–296, ISBN:
    9780367753559
  • “Cyber-Physical Systems: AI and COVID-19”, Elsevier, pp. 1–278, ISBN:
    9780128245576
  • “Understanding COVID-19: The Role of Computational Intelligence”, Springer, pp. 1–569, ISBN:
    978-3030747602 (Scopus Indexed)
  • “Advanced Machine Learning Approaches in Cancer Prognosis”, Springer, pp. 1–454, ISBN:
    9783030719746 (Scopus Indexed)
  • “Handbook of Computational Intelligence in Biomedical Engineering and Healthcare”, Elsevier, pp. 1–396, ISBN:
    9780128222607
  • “Electronic Devices, Circuits, and Systems for Biomedical Applications”, Elsevier, pp. 1–584, ISBN:
    9780323853699
  • “Intelligent and Smart Computing in Data Analytics”, Springer, Vol. 1312, pp. 1–306, ISBN:
    9789813361751 (Scopus Indexed)
  • “Intelligent Computing in Control and Communication”, Springer, Vol. 702, pp. 1–691, ISBN:
    9789811584381 (Scopus Indexed)
  • “Green Technology for Smart City and Society”, Springer, Vol. 151, pp. 1–597, ISBN:
    978-981-15-8217-2 (Scopus Indexed)
  • “Applications of Robotics in Industry Using Advanced Mechanisms”, Springer, Vol. 5, pp. 1–390, ISBN:
    978-3-030-30270-2 (Scopus Indexed)
  • “Soft Computing in Data Analytics”, Springer, Vol. 758, pp. 1–857, ISBN:
    978-981-13-0514-6 (Scopus Indexed)
  • “Progress in Computing Analytics and Networking”, Springer, Vol. 710, pp. 1–845, ISBN:
    978-981-10-7871-2 (Scopus Indexed)

Book Chapters (Selected):

  • “A knowledge discovery framework for COVID-19 disease from PubMed abstract using association rule hypergraph”, Data Science in the Medical Field, Elsevier, ISBN:
    978-0-443-24028-7, pp. 83–97 [SCOPUS]
  • “A deep insight into intelligent fractal-based image analysis with pattern recognition”, Intelligent Fractal-Based Image Analysis, Elsevier, ISBN:
    978-0-443-18468-0, pp. 03–26
  • “Fuzzy C-Means Clustering: Advances and Challenges (Part II)”, Machine Learning for Data Science Handbook, Springer, ISBN:
    978-3-031-24627-2, pp. 239–269 [SCOPUS]
  • “Effect of COVID-19 on cancer patients: Issues and future challenges”, Computational Intelligence in Cancer Diagnosis, Elsevier, ISBN:
    978-0-323-85240-1, pp. 215–235 [SCOPUS]
  • “Internet of things and fog computing application to improve the smart-grid resiliency”, Electric Power Systems Resiliency, Elsevier, ISBN:
    978-0-323-85536-5, pp. 213–229 [SCOPUS]
  • “Impact of COVID-19 on Indian Education System: Practice and Applications of Intelligent Technologies”, Future of Work and Business in Covid-19 Era, Springer,
    DOI: 10.1007/978-981-19-0357-1_23, ISBN:
    978-981-19-0357-1, pp. 265–283 [SCOPUS]
  • “A Fog-Based Intelligent Secured IoMT Framework for Early Diabetes Prediction”, Springer Internet of Things Series, ISBN:
    978-3-030-81472-4, pp. 199–218 [SCOPUS]
  • “Deep Neural Network–Based Security Model for IoT Device Network”, CRC Press, ISBN:
    9780367457334, pp. 224–242
  • “Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges”, Wiley, ISBN:
    9781119711285, pp. 49–92
  • “Impact of IoT in Healthcare: Improvements and Challenges”, The Digitalization Conundrum in India, Springer, ISBN:
    978-981-15-6906-7, pp. 73–107,
    DOI: 10.1007/978-981-15-6907-4_5 [SCOPUS]
  • “Identification and classification of hepatitis C virus: an advance machine-learning-based approach”, Blockchain and Machine Learning for E-Healthcare Systems, IET, ISBN:
    9781839531156, DOI:
    10.1049/PBHE029 [SCOPUS]
  • “Impact of IoT in agriculture: advances and challenges”, Internet of Things, Walter de Gruyter, ISBN:
    9783110677737, DOI:
    10.1515/9783110628517.006
  • “A Comprehensive Review and Performance Analysis of Firefly Algorithm for Artificial Neural Networks”, Nature-Inspired Computation in Data Mining and Machine Learning, Springer, ISBN:
    978-3-030-28552-4 [SCOPUS]
  • “Kidney-Inspired Algorithm and Fuzzy Clustering for Biomedical Data Analysis”, Elsevier, ISBN:
    978-0-12-818146-1 [SCOPUS]
  • “Nature Inspired Optimizations in Cloud Computing: Applications and Challenges”, Springer Studies in Big Data, ISBN:
    978-3-319-73675-4 [SCOPUS]

  • Development of Smartphone based Artificial Intelligence Assisted Realtime Intelligent Abnormality Detector for Severity Grading of Ulcerative Colitis at Gastrointestinal Region to avoid Colorectal Cancer
    Funding Agency: MRIP-2025, Govt. of Odisha
    Amount: Rs. 9,12,000
    Duration: 2 Years
    Status: Ongoing
  • Designing of Advance Intelligent Data Driven Framework for Mining Socioeconomic Factors Influencing Tribal Girl’s Education in Rural Mayurbhanj District of Northern Odisha
    Funding Agency: University Funded Intra-Mural Research Project (UFIMRP) of MSCB University
    Amount: Rs. 5,84,000
    Duration: 1 Year
    Status: Completed
  • Automated Deep Learning based Weed Detection Scheme for IoT enabled Smart Precision Agriculture
    Funding Agency: OURIIP, Govt. of Odisha
    Amount: Rs. 6,22,000
    Duration: 2 Years
    Status: Completed

  • CS-105 – ADVANCED OPERATING SYSTEM, 2023, 2024, 2025
  • CS-201 – THEORY OF COMPUTATION, 2023, 2024, 2025
  • CS-205 – ARTIFICIAL INTELLIGENCE, 2023, 2024, 2025
  • CS-301 – INTERNET OF THINGS, 2023, 2024, 2025

Administrative Responsibilities:

  • Coordinator, Dept. of Computer Science – 2025 – Continuing
  • Deputy Director – Central Library – 2023 – Continuing
  • Deputy Director, e-Samarth (Govt.) – 2024 – Continuing
  • Prof. I/C, CCTV Surveillance – 2024 – Continuing
  • University Nodal Officer, Shodhganga – 2024 – Continuing
  • University Coordinator, Anveshan – 2024 – 2025
  • I/C, Student Admission – 2024 – 2025
  • University Nodal Officer, SWAYAM Courses – 2024 – Continuing
  • Prof. I/C, Plagiarism Check – 2023 – Continuing

List of Memberships:

  • Senior Member of IEEE
  • Life Member of Soft Computing Research Society (SCRS)
  • Life Member of Computer Society of India (CSI)
  • International Association for Engineers (IAENG), Hong Kong
  • Life Member of Orissa Information Technology Society (OITS), Odisha
  • Life Member of Orissa Mathematical Society (OMS), India

Awards & Honours :

  • TOP 2% SCIENTISTS (Category: Computer Science & Artificial Intelligence) – Stanford University and Elsevier (2023, 2024, 2025)
  • BEST COMPUTER SCIENCE RESEARCHER – Jawaharlal Nehru Technological University, Kakinada (JNTUK), 2018
  • UNIVERSITY GOLD MEDALIST – Fakir Mohan University, Balasore, 2011
  • UNIVERSITY GOLD MEDALIST – Ravenshaw University, Cuttack, 2009