Akib Mohi Ud Din Khanday

@cusrinagar.edu.in

Assistant Professor, Department of Information Technology.
Cluster University of Srinagar

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Science Applications, Multidisciplinary
1294

Scholar Citations

17

Scholar h-index

23

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Integrating transfer learning techniques for automated recognition of medicinal plant leaves in computational social science
    MA Hajam, T Arif, MB Malik, AMUD Khanday
    Intersection of Machine Learning and Computational Social Sciences, 301-322 , 2026
    2026
  • A study on artificial intelligence and its role in medical image analysis
    FA Khan, SU Islam, AMUD Khanday
    Intersection of Machine Learning and Computational Social Sciences, 34-54 , 2026
    2026
  • Intersection of Machine Learning and Computational Social Sciences
    AMUD Khanday, S Bouktif, MA Wajid, ST Rabani
    CRC Press , 2026
    2026
  • Deep learning-based approach for combating fake news
    T Zarger, IA Khan, AMUD Khanday
    Intersection of Machine Learning and Computational Social Sciences, 323-346 , 2026
    2026
  • EvoBagNet: a decomposition-driven bagging ensemble with evolutionary hyperparameter optimization for robust stock price prediction
    U Bashir, K Singh, V Mansotra, AMUD Khanday, M Neshat
    Neural Computing and Applications 38 (3), 31 , 2026
    2026
    Citations: 1
  • Revealing the impact of COVID-19 on mental health through machine learning
    S Bouktif, AMUD Khanday, A Ouni
    JAMIA Open, ooag013 , 2026
    2026
    Citations: 1
  • Transparency in Disease Diagnosis: Leveraging Interpretable Machine Learning in Healthcare
    IU Haq, AH Rather, SZ Rufai, A Shah, Sheetal, AMUD Khanday
    Explainable Artificial Intelligence in the Healthcare Industry, 105-130 , 2025
    2025
    Citations: 3
  • Exploring the Role of Explainable AI in Women's Health: Challenges and Solutions
    IU Haq, AMUD Khanday
    Explainable Artificial Intelligence in the Healthcare Industry, 283-306 , 2025
    2025
    Citations: 7
  • Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality
    MA Wajid, A Zafar, MS Wajid, AMUD Khanday, P Bhattacharya
    CRC Press , 2025
    2025
    Citations: 7
  • Wellness Management Powered by AI Technologies
    B Bhushan, A Khanday, K Aurangzeb, SK Sharma, P Nand
    John Wiley & Sons , 2025
    2025
    Citations: 6
  • Natural Language Processing in Healthcare: Enhancing Wellbeing through a COVID‐19 Case Study
    AMUD Khanday, S Bouktif, A Ouni
    Wellness Management Powered by AI Technologies, 55-74 , 2025
    2025
    Citations: 7
  • Public Opinion Segmentation on COVID‐19 Vaccination and Its Impact on Wellbeing
    AMUD Khanday, S Bouktif, K Nimmi
    Wellness Management Powered by AI Technologies, 207-230 , 2025
    2025
    Citations: 3
  • Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study
    S Bouktif, AMUD Khanday, A Ouni
    Journal of Medical Internet Research 27, e65434 , 2025
    2025
    Citations: 23
  • State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects
    H Goyal, MS Wajid, MA Wajid, AMUD Khanday, M Neshat, A Gandomi
    arXiv preprint arXiv:2501.01029 , 2025
    2025
    Citations: 16
  • Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality
    P Bhattacharya, AMUD Khanday, MS Wajid, MA Wajid, A Zafar
    Taylor & Francis Limited , 2025
    2025
  • Conserving Energy in Buildings by Detecting Hotspots Through Clustering Approaches
    AMUD Khanday, GM Gouse, KA Ajmath, T Timur
    2024 Third International Conference on Sustainable Mobility Applications … , 2024
    2024
  • Spatial domain compression approach for increasing flight duration in drones
    A Jan, AMUD Khanday, B Bhushan, EM Alazzawi, P Bhattacharya, ...
    IET Conference Proceedings CP906 2024 (34), 731-737 , 2024
    2024
  • IMG: influence maximization and greedy-based approach for finding propagandistic community structure on social media
    AM Khanday, S Bouktif, A Jan, B Bhushan, A Jamil, AA Hameed, ...
    IET Conference Proceedings CP906 2024 (34), 738-743 , 2024
    2024
    Citations: 2
  • Spoken Kashmiri Recognition with Dual Feature Extraction and Spectrogram Augmentation Using a CNN-gMLP Hybrid Model
    UA Hajam, ST Rabani, AMUD Khanday, M Neshat
    Preprints , 2024
    2024
  • HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media
    AMUD Khanday, MA Wani, ST Rabani, QR Khan, AA Abd El-Latif
    PloS one 19 (7), e0302583 , 2024
    2024
    Citations: 15

MOST CITED SCHOLAR PUBLICATIONS

  • Machine learning based approaches for detecting COVID-19 using clinical text
    AMUD Khanday, ST Rabani, QR Khan, N Rouf
    International Journal of Information Technology 12 (3), 731-739 , 2020
    2020
    Citations: 448
  • Identifying propaganda from online social networks during COVID-19 using machine learning techniques
    AMUD Khanday, QR Khan, ST Rabani
    International Journal of Information Technology 13 (1), 115-122 , 2021
    2021
    Citations: 111
  • Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques
    AMUD Khanday, ST Rabani, QR Khan, SH Malik
    International Journal of Information Management Data Insights 2 (2), 100120 , 2022
    2022
    Citations: 90
  • Detection of suicidal ideation on Twitter using machine learning & ensemble approaches
    ST Rabani, QR Khan, AMUD Khanday
    Baghdad science journal 17 (4), 1328-1328 , 2020
    2020
    Citations: 70
  • Detecting suicidality on social media: Machine learning at rescue
    ST Rabani, AMUD Khanday, QR Khan, UA Hajam, AS Imran, Z Kastrati
    Egyptian Informatics Journal 24 (2), 291-302 , 2023
    2023
    Citations: 55
  • Twitter Sentiment Analysis On Indian Government Project Using R.
    P Verma, A Khanday, ST Rabani, M Mir, S Jamwal
    International Journal of Recent Technology and Engineering (IJRTE) 8 (3 … , 2019
    2019
    Citations: 52
  • An Effective Ensemble Convolutional Learning Model with Fine-tuning for Medicinal Plant Leaf Identification
    MA Hajam, T Arif, AMUD Khanday, M Neshat
    Information 14 (11), 618 , 2023
    2023
    Citations: 44
  • Detecting textual propaganda using machine learning techniques
    AMUD Khanday, QR Khan, ST Rabani
    Baghdad Science Journal 18 (1), 19 , 2021
    2021
    Citations: 32
  • SVMBPI: support vector machine-based propaganda identification
    AMUD Khanday, QR Khan, ST Rabani
    Cognitive Informatics and Soft Computing: Proceeding of CISC 2020, 445-455 , 2021
    2021
    Citations: 29
  • Hybrid Approach for Detecting Propagandistic Community and Core Node on Social Networks
    AMUD Khanday, MA Wani, ST Rabani, QR Khan
    Sustainability 15 (2), 1249 , 2023
    2023
    Citations: 26
  • NNPCov19: Artificial Neural Network‐Based Propaganda Identification on Social Media in COVID‐19 Era
    AMUD Khanday, B Bhushan, RH Jhaveri, QR Khan, R Raut, ST Rabani
    Mobile Information Systems 2022 (1), 3412992 , 2022
    2022
    Citations: 26
  • Face Recognition Techniques: A Critical Review
    AMUD Khanday, A Amin, I Manzoor, R Bashir
    Recent Trends in Programming Languages 5 (2), 24-30 , 2018
    2018
    Citations: 24
  • Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study
    S Bouktif, AMUD Khanday, A Ouni
    Journal of Medical Internet Research 27, e65434 , 2025
    2025
    Citations: 23
  • AI-driven pattern recognition in medicinal plants: A comprehensive review and comparative analysis
    M Hajam, T Arif, A Mohi, M Wani, M Asim
    Computers, Materials, & Continua 81 (2), 2077 , 2024
    2024
    Citations: 23
  • Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of COVID-19
    MA Wajid, A Zafar, B Bhushan, AMUD Khanday, MS Wajid
    AI Models for Blockchain-Based Intelligent Networks in IoT Systems: Concepts … , 2023
    2023
    Citations: 23
  • NLP Techniques and Challenges to Process Social Media Data
    TA Mir, AA Lawaye, AMUD Khanday
    Advanced Applications of NLP and Deep Learning in Social Media Data, 171-218 , 2023
    2023
    Citations: 17
  • Quantifying Suicidal Ideation on Social Media using Machine Learning: A Critical Review
    ST Rabani, QR Khan, AMUD Khanday
    Iraqi Journal of Science, 4092-4100 , 2021
    2021
    Citations: 17
  • Analysing and Predicting Propaganda on Social Media using Machine Learning Techniques
    AMUD Khanday, QR Khan, ST Rabani
    2020 2nd International Conference on Advances in Computing, Communication … , 2020
    2020
    Citations: 17
  • State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects
    H Goyal, MS Wajid, MA Wajid, AMUD Khanday, M Neshat, A Gandomi
    arXiv preprint arXiv:2501.01029 , 2025
    2025
    Citations: 16
  • HAPI: An efficient Hybrid Feature Engineering-based Approach for Propaganda Identification in social media
    AMUD Khanday, MA Wani, ST Rabani, QR Khan, AA Abd El-Latif
    PloS one 19 (7), e0302583 , 2024
    2024
    Citations: 15