Dr. Rohit Sharma is a distinguished scientist specializing in Processing and Food Engineering. He commenced his academic journey at Punjab Agricultural University (PAU), Ludhiana, earning a B. Tech. degree in 1998. His educational pursuits led to an M. Tech. in 2001 and a Ph.D. in 2021. Dr. Sharma’s career at PAU includes roles as an Assistant Professor in Agricultural Engineering at KVK Fatehgarh Sahib from 2009 to 2012, followed by Assistant Research Engineer at PAU from 2012 to 2013. Since 2013, he has served as an Assistant Processing Engineer (Scientist). He has been actively involved in the All India Coordinated Research Project on Post Harvest Engineering and Technology, contributing to several significant projects. These include the development of sensor platform for rapid detection of chemically doctored fruits and vegetables, development of AI- Based System for Rapid Detection of Rice Ageing, development of IoT-based sensor device for detection and control of pest and rodents in grain storage structures (Collaborative Project with OUAT, Bhubaneshwar Centre) and establishing an Agro Processing center for technology training. He is a life member of the Indian Society of Agricultural Engineers (ISAE, Membership ID: LM-10702). He has published over 25 research articles in International/National journals and more than 40 extension articles. He also holds five copyrights from Govt. of India for software solutions.

Professional Accomplishments

Research Projects completed

1. ICAR-FCI Project: Study on Storage Losses of Food Grains in FCI & CWC warehouses and to recommend norms for storage losses in efficient warehouse management (FCI sponsored)
2. Development and evaluation of percussion based gadget for quality management of stored grains and their milled products

Research Publications:

1. Sharma R, Kumar M and Alam M S (2021). Image processing techniques to estimate weight and morphological parameters for selected wheat refractions. Sci Rep 11.
2. Singla C, Aggarwal R, Kaur S and Sharma R (2023). Analysis of meteorological parameter changes using Mann-Kendall statistical tests in Indian Punjab. Mausam 74: 207–216.
3. Choudary K, Alam M S, Jain L and Sharma R (2020). Modelling and optimization of extrusion cooking of broken rice–defatted soy flour–vegetable waste using genetic        J Agric Eng 57(4): 315–328.
4. Kaur G, Sharma R and Singh J (2016). GIS based spatial modelling for cost optimized energy generation from biomass. J Agric Eng 53: 16–26.
5. Sharma R (2016). Decadal change analysis of biomass intensity and estimating surplus agricultural biomass using GIS in Punjab. Indian J Econ Dev 12: 565–572.

Awards and Recognition:

• Awarded Copyright for developed computer software “Expert System for Precision Computation of Automatic Weather Station Data” vide Certificate Number L-47275/2013, from Govt. of India, Ministry of Human Resource Development, Copyright Office, New Delhi. The program can be helpful to all the users taking take data from AWS installed by Indian Meteorological Department at various locations all over the country.
• Computer software entitled “Know your Data Trend” was developed and Copyright was applied to the Office of the Registrar of Copyrights, New Delhi for the developed software – “Know your Data Trend”, Diary Number: 13179/2022-CO/SW dated 21-06-2022.
• Computer software entitled “Material Estimator for Brick Wall” was developed and Copyright was applied to the Office of the Registrar of Copyrights, New Delhi for the developed software – ” Material Estimator for Brick Wall”, Diary Number: 21261/2022-CO/SW dated 26-10-2022.