Dr. Atif Mahmood is from Varanasi, Uttar Pradesh. He holds a Ph.D. in Computer Science and Engineering from Dr. A.P.J Abdul Kalam Technical University Lucknow, Pursued under the Homi Bhabha Research-cum-Teaching Fellowship. He had around 10 years of teaching experience at both government and private institutions.
His research expertise lies in the application of Deep Learning in the Agricultural domain, with a particular focus on crop grading and food processing.
Research Publications
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Mahmood, A., Tiwari, A.K. & Singh, S.K. C-net: a deep learning-based Jujube grading approach. Food Measure 18, 7794–7805 (2024). https://doi.org/10.1007/s11694-024-02765-7
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Mahmood A, Tiwari AK, Singh SK (2024), Maturity grading of jujube for industrial applications harnessing deep learning. Engineering Computations, Vol. 41 No. 5 pp. 1171–1184, doi: https://doi.org/10.1108/EC-08-2023-0426
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Mahmood, A., Singh, S.K. & Tiwari, A.K. Pre-trained deep learning-based classification of jujube fruits according to their maturity level. Neural Comput & Applic 34, 13925–13935 (2022). https://doi.org/10.1007/s00521-022-07213-5
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Mahmood A, Tiwari AK, Singh SK, Udmale SS. Contemporary machine learning applications in agriculture: Quo Vadis?. Concurrency Computat Pract Exper. 2022 34(15):e6940. doi:10.1002/cpe.6940
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Diwedi, H.K., Misra, A., Tiwari, A.K., Mahmood, A. (2023). Research Review and Literature Perception Towards Medicinal Plants Classification Using Deep Learning Techniques. In: Borah, S., Gandhi, T.K., Piuri, V. (eds) Advanced Computational and Communication Paradigms . ICACCP 2023. Lecture Notes in Networks and Systems, vol 535. Springer, Singapore. https://doi.org/10.1007/978-981-99-4284-8_21
Ongoing Research Projects
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3D View Video Frame based Prediction of Crop Quality.
Expertise
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Image Processing and Deep Learning for Precision Agriculture.