I am a Ph.D. scholar at Indian Institute of Space Science and Technology, advised by Prof. Rama Rao Nidamanuri. My primary research work focuses on precision agriculture with AI. The work includes use of satellite, airborne, UAVs, and in-situ Hyperspectral and Multispectral data. I am also working as an Assistant Professor in the Department of Computer Science and Engineering at Graphic Era Hill University, Bhimtal.

Some of my recent projects are:

  • Hyperspectral synthetic data generation for reference data using variational autoencoders.
  • Mapping of soil organic content using hyperspectral satellite 🛰 data.
  • Hyperspectral differentiation in organic vs. conventional cultivated crops 🌱 in multiple coexisted complex landscapes.
  • Automated mapping of vegetable crop farms in high-resolution drone multispectral imagery using ensemble machine learning modeling.
  • Deep Learning systems for time series cloud detection ☁️ using multi-sensor satellite imagery in collaboration with ISRO-NRSC Hyderabad.
  • IoT and AI-enabled drone systems for crop and soil monitoring, a joint project of MietY (Gov. of India) and MMMUT-Gorakhpur.

I was born and raised in Uttar Pradesh, India, where I completed both my bachelor's and master's degrees. I pursued my undergraduate studies in Information Technology at Kamla Nehru Institute of Technology (KNIT), Sultanpur, followed by a postgraduate degree in Computer Science and Engineering with a specialization in Machine Learning at the Centre for Advanced Studies, Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow. For more details, please refer to my CV.

PUBLICATIONS
Journals
Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal
JS Khan, Manoj Kaushik, A Chaurasia, MK Dutta, R Burget
Computer Methods and Programs in Biomedicine @ 2022 Link
Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach
Manoj Kaushik, Rakesh Chandra Joshi, Atar Singh Kushwah, Maneesh Kumar Gupta, Monisha Banerjee, Radim Burget, Malay Kishore Dutta
Computers in Biology and Medicine @ 2021 Link
SLINet: Dysphasia detection in children using deep neural network
Manoj Kaushik, N Baghel, R Burget, CM Travieso, MK Dutta
Biomedical Signal Processing and Control @ 2021 Link
VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant
RC Joshi Manoj Kaushik, MK Dutta, A Srivastava, N Choudhary
Ecological Informatics @ 2021 Link
Conference and Poster Presentations
Estimation of soil organic carbon content using ground, airborne, and satellite hyper spectral imagery
Manoj Kaushik, Jarmal Singh, Rama Rao Nidamanuri
IEEE IGARSS Australia @ 2025 Poster
Cloudsegnet: A deep learning based segmentation method for cloud detection in multispectral satellite imagery
Manoj Kaushik, Anagha S Sarma, Rama Rao Nidamanuri
IEEE IGARSS USA @ 2023 Link Poster
Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches
H Chaitra, Manohar Kumar CVSS, Manoj Kaushik, RG Sharathchandra, Rama Rao Nidamanuri
IEEE IGARSS @ 2023 Link
Spectral discrimination of vegetable crops using in situ hyperspectral data and reference to organic vegetables
Manoj Kaushik, Rama Rao Nidamanuri, B Aparna, AM Ramiya
IEEE MIGARS @ 2023 Link PDF
A deep learning approach for epilepsy seizure detection using EEG signals
Manoj Kaushik, Divyanshu Singh, Malay Kishore Dutta, Carlos Manuel Travieso González
Tecnología en Marcha @ 2022 Link PDF
Identifying Mood in Music Using Deep Learning
Shikha Rani, Manoj Kaushik, Vrinda Yadav
ICRTAC-AIT @ 2020 Link
Vocalist identification in audio songs using convolutional neural network
Manoj Kaushik, Shikha Rani, Vrinda Yadav
ICRTAC-AIT @ 2020 Link PDF
Teaching
Assistant Professor | Graphic Era Hill University, Bhimtal Campus
"Data Structures" and "Responsible and Explainable AI" - Classroom @ Jul-Dec 2026
"Design and Analysis of Algorithms" and "Compiler Design" - Classroom @ Jan-Jun 2026
Teaching Assistant | IIST Thiruvananthapuram
Probability & Statistics - Classroom @ Jul-Dec 2025
Probability & Statistics - Classroom @ Jul-Dec 2024
Industrial Experience
Data Science Internship | KaleidEO (a SatSure company), Bengaluru | Jan-Apr 2024
End-to-end ML segmentation modeling of high-yield vegetable crops using multispectral drone
Project Executive Officer | MeitY GOI and MMMUT, Gorakhpur | Oct-Jan 2022
Project: "Development of IoT and drone-based agriculture monitoring system with the objective of skill development of a socially deprived community."
Software Developer | Thotnr (Kranti Tech Services) Pvt. Ltd., Noida | Mar-Oct 2021
Applied machine learning to classify grievance emails using NLP, with Term Frequency and Inverse Document Frequency (TF-IDF) for feature extraction.
Worked on the Grievance Redressal System (Webnyay) using Django and Python.
Young Professional | ICAR-IGFRI, Jhansi | Mar 2018 - May 2019
Developed software modules and applications based on organizational requirements.
Software Developer Internship | Edureka, Bengaluru | Jun 2017 - Feb 2018
Worked on a learning management system (LMS), primarily using the CakePHP MVC framework and other web technologies.