I am a Ph.D. scholar at Indian Institute of Space Science and Technology, Department of Space, Thiruvananthapuram, Kerala. 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.

Some of my recent projects are:

  • Hyperspectral differentiation in organic vs. conventional cultivated crops 🌱 in multiple coexisted complex landscapes.
  • Synthetic hyperspectral data generation for reference data.
  • Automated mapping of vegetable crop farms in high-resolution drone multispectral imagery using ensemble machine learning modeling.
  • Mapping of soil organic content using hyperspectral satellite 🛰 data.
  • 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
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
Teaching Assistant - Probability & Statistics
IIST Thiruvananthapuram - Classroom @ 2024
IIST
Jan 2022 onwards
NRSC
2022-2024
kaleidEO
Jan 2024 - April 2024
MMMUT
2021
Thotnr
2021
CAS AKTU
2019-2021
ICAR
2018
Edureka
2017
KNIT Sultanpur
2012 - 2016