Gurwinder Singh received his BA in computer application, MCA, M.Phil., and a Ph.D. degree in computer science from Punjabi University, India, in 2008, 2011, 2014, 2016, and 2023, respectively. In 2014, he joined the Creative-i Technologies Education and Development Centre, in India, in 2015 to joined the Department of Computer Science at Jasdev Singh Sandhu Degree College, India, in 2016 to join the Department of Computer Science at Sri Guru Teg Bahadur Khalsa College, Shri Anandpur Sahib, in 2017 to join the Department of Computer Science at Punjabi University, India and since 2022, he joined the university institute of computing, Chandigarh University, India. He achieved Young Scientist Award at the 11th National Conference on RACES-2023, Multani Mal Modi College, India, he has achieved the Best patent idea presentation award at Chitkara University, Himachal Pradesh, India, and also get best publication awards at conferences. His research interest includes remote sensing and digital image processing, particularly agriculture land use classification, machine learning, and deep learning. He is also a member of ISPRS and ISRS.
Noida International University
Greater Noida, India
Department of Computer Science, School of Sciences
Young Scientist Award
11th National Conference on RACES-2023, Multani Mal Modi College, Patiala.
In the Research Paper “Enhancing Agricultural Monitoring with Deep Learning Using Landsat-8 Dataset Analysis for Patiala District”.
Best paper presentation award
4th National Research Scholars- MEET 2023, Sri Guru Granth Sahib World University, Punjab
In the Research Paper "“ਸੈਂਟੀਨਲ-2 ਡਾਟਾਸੈਟ ਦੀ ਵਰਤੋਂ ਕਰਦੇ ਹੋਏ ਖੇਤੀਬਾੜੀ ਯੋਗ ਭੂਮੀ ਉੱਤੇ ਮੌਸਮੀ ਭਿੰਨਤਾਵਾਂ ਦੀ ਡੀਪ-ਲਰਨੀਗ ਚੇੰਜ ਡਿਟੈਕਸ਼ਨ ਤਕਨੀਕ ਦੁਆਰਾ ਖੋਜ”"
Best paper presentation award
ICAN-2022, Chitkara University, Punjab
In the Research Paper “Quantitative and qualitative analysis of PCC-based change detection methods over agricultural land using sentinel-2 dataset”.
Best idea presentation award
Chitkara University, Himachal Pradesh
In the Patent “Methods of acquiring different land cover types using a hand-held device”