NITIN TYAGI
Ph.D. Scholar, Department of Computer Science and Engineering, Machine Vision Lab, IIT Roorkee, Roorkee, Uttarakhand 247667, India
Embedded Files
About me
About me
I am a Ph.D. scholar at the Machine Vision Lab, IIT Roorkee, India, under the supervision of Prof. Balasubramanian Raman and Dr. Neerja Garg. My academic journey includes an MCA and MTech, and I am currently pursuing a Ph.D. with a focus on deep learning-based techniques for hyperspectral imaging in food and agriculture. I am passionate about developing tech-driven solutions for real-world problems and am eager to collaborate with research labs in the food and agriculture sector. Such a partnership would not only strengthen my skills and expertise but also contribute to my professional growth.
I am a Ph.D. scholar at the Machine Vision Lab, IIT Roorkee, India, under the supervision of Prof. Balasubramanian Raman and Dr. Neerja Garg. My academic journey includes an MCA and MTech, and I am currently pursuing a Ph.D. with a focus on deep learning-based techniques for hyperspectral imaging in food and agriculture. I am passionate about developing tech-driven solutions for real-world problems and am eager to collaborate with research labs in the food and agriculture sector. Such a partnership would not only strengthen my skills and expertise but also contribute to my professional growth.
News at a Glance
October 2024: A paper titled "Geographical Region Prediction of Bread and Durum Wheat Species Using Hyperspectral Imaging and Deep Convolutional Neural Networks communicated in the Journal of Chemometrics, Wiley. [Under review]
August 2024: A paper titled "Nondestructive Bulk Wheat Classification through Near Infrared Hyperspectral Imaging and Deep Convolutional Neural Networks", Accepted for publication in 31st International Conference on Neural Information Processing (ICONIP’24), 2-6 December 2024, Auckland, NEWZEALAND. [Accepted, Core B conference]
April 2024: Nondestructive Identification of Wheat Species using Deep Convolutional Networks with Oversampling Strategies on Near-Infrared Hyperspectral Imagery. Communicated in the ”Journal of Nondestructive Evaluation” .[Under review]
February 2024: A paper titled "Classification of Hard and Soft Wheat Species Using Hyperspectral Imaging and Machine Learning Models" published in Neural Information Processing. ICONIP 2023. Communications in Computer and Information Science, vol 1968. Springer, Singapore. https://doi.org/10.1007/978-981-99-8181-6 43 [Published, Core B conference]
December 2023: A paper titled "FusedNet Model for Varietal Classification of Rice Seeds" published in Agriculture-Centric Computation. ICA 2023. Communications in Computer and Information Science, vol 1866. Springer, Cham. https://doi.org/10.1007/978- 3-031-43605-5 3. [Published] [Best Paper Award]
December 2023: A paper titled "Varietal Classification of Wheat Seeds Using Hyperspectral Imaging Technique and Machine Learning Models" published in Computer Vision and Image Processing. CVIP 2022. Communications in Computer and Information Science, vol 1777. Springer, Cham. https://doi.org/10.1007/978-3- 031-31417-9 20 [Published]
August 2023: Selected for the Deloitte work-studentship program for six months (1 August 2023 to 31 January 2023)
July 2022: Conducted a training session on ‘Implementation of Machine Learning Models’, in Executive Certificate Program in AI Strategy for Leaders, iHUB DivyaSampark, TIH, IIT Roorkee with The Economic Times, India (Virtual), July 2022.
Page updated
Google Sites
Report abuse