• Jitendra Paliwal stands smiling and posing for the camera.
  • Professor
    Department of Biosystems Engineering

    Associate Dean (Academic)
    Faculty of Agricultural and Food Sciences

    Room E1-342 EITC
    15 Gillson Street
    University of Manitoba (Fort Garry campus)
    Winnipeg, MB R3T 5V6



Dr. Jitendra Paliwal is a Professor of Biosystems Engineering whose expertise lies in the storage, handling, and quality monitoring of cereal grains, oilseeds, leguminous crops and their derivatives.

As an internationally renowned expert, Jitendra’s research on developing hardware and software solutions is widely referred to by the designers of grain quality monitoring and assessment instruments. His highly collaborative interdisciplinary research work, so far, has resulted in over 112 scientific papers in international peer-reviewed journals earning him a SciVal h-index of 31. He has authored or co-authored 100+ conference papers and five book chapters.

In 2018, he was part of a distinguished team of industry and academic researchers, who won the American Society of Agricultural and Biological Engineering’s AE50 award for adapting a cancer detection imaging technique for remote monitoring grain bins. His research program has brought in over $10+ million dollars in grants and contributed to the training of 100+ HQPs.



  • Post-harvest preservation, handling and quality assessment of cereal grains, oilseeds, and pulses through electromagnetic imaging and spectroscopy techniques.
  • Microstructural analyses of cellular structure and protein-starch matrices in plant protein based foods.
  • Development of smart connected sensor technologies for food quality monitoring.
  • Electromagnetic imaging techniques to monitor large grain storage structures.
  • Application of vibrational (infrared and Raman) spectroscopy and machine vision techniques for quality assessment of cereal grains, meats, and raw & processed food.
  • Laser biostimulation of seeds to reverse biotic/abiotic stresses and improve viability


Grain storage, legumes and pulses, vibrational spectroscopy, microstructural analysis, chemometrics, imaging, artificial neural networks, data mining, electromagnetic imaging.

Research description

The long-term goal of my research program is to explore the interaction of electromagnetic spectrum with raw and processed food materials via spectral fingerprinting, EMI, and microstructural analyses to optimize quality monitoring, grading, and processing operations.

Selected Publications

Peer-reviewed publications (published and accepted): 112

Sivakumar, C., M.M.A. Chaudhry, M. Nadimi, J. Paliwal, and J. Courcelles. 2022. Characterization of pulse flours using scanning electron microscopy. Powder Technology (Accepted in July 2022).

Cathers, S., K. Nemez, M. Hughson, H. Fogel, M. Asefi, J. Paliwal, J. LoVetri, I. Jeffrey, and C. Gilmore. 2022. Limited-Information Signal De-embedding for a Grain Bin Electromagnetic Imaging System. IEEE Open Journal of Antennas and Propagation (Accepted in June 2022).

Sabzi, S., Abbaspour-Gilandeh, Y., M. Nadimi, and J. Paliwal. 2022. Non-destructive estimation of physicochemical properties and detection of ripeness level of apples using machine vision. International Journal of Fruit Science (Accepted in June 2022).

Li, X., R.M. Guillermic, M. Nadimi, J. Paliwal, and F. Koksel. 2022. Physical and microstructural quality of extruded snacks made from blends of barley and green lentil flours. Cereal Chemistry (Accepted in June 2022).

Mundhada, S., M.M.A. Chaudhry, C. Erkinbaev, and J. Paliwal. 2022. Non-destructive quality monitoring of flaxseed during storage. Journal of Food Measurement and Characterization (Accepted for publication in May 2022).

Pourdarbani, R., S. Sabzi, M. Rohban, G. García-Mateos, J. M. Molina-Martínez, J. Miguel, J. Paliwal, and J. Ignacio-Arribas. 2022. Metaheuristic algorithms in the visible and near infrared spectra to detect excess nitrogen content in tomato plants. Journal of Near Infrared Spectroscopy (Accepted for publication in April 2022).

Erkinbaev, C., W. Morse, and J. Paliwal. 2021. Rapid assessment of canola spoilage under sub-optimal storage conditions using FTIR spectroscopy. Canadian Biosystems Engineering (Accepted for publication in October 2021).

Khazaee, Y., K. Kheiralipour, A. Hoseinpour, H. Javadikia, and J. Paliwal. 2021. Development of novel image analysis and classification algorithms to separate tubers from clods and stones. Potato Research (Accepted for publication in September 2021).

Guldiken, B., A. Franczyk, L. Boyd, N. Wang, K. Choo, E. Sopiwnyk, J. House, J. Paliwal, and M. Nickerson. 2022. Physicochemical, nutritional and functional properties of chickpea (Cicer arietinum) and navy bean (Phaseolus vulgaris) flours from different mills. European Food Research and Technology 248(7):1847-1858.

Dyck, G., E. Hawley, K. Hidlebrand, and J. Paliwal. 2022. Digital Twins: A Novel Traceability Tool for Post-Harvest Handling. Smart Agricultural Technology 3:100079.

Erkinbaev, C., M. Nadimi, and J. Paliwal. 2022. A unified heuristic approach to simultaneously detect Fusarium and ergot damage in wheat. Measurement: Food 7:100043.

Choo, K., R.P. Ramachandran, E. Sopiwnyk, and J. Paliwal. 2022. Effects of seed moisture conditioning and mechanical scouring pre-treatments on roller milled green lentil (Lens culinaris) and chickpea (Cicer arietinum) flours. Food and Bioprocess Technology 15:1311-1326.

Loewen, G., M. Nadimi, and J. Paliwal. 2022. Assessment of mechanical damage to flaxseeds using radiographic imaging and tomography. Smart Agricultural Technology 2:100057.

Sabzi, S., R. Pourdarbani, G. García-Mateos, J. Paliwal, and J. M. Molina-Martínez. 2022. Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy. Ain Shams Engineering Journal 13(6):101776.

'Mundhada, S., M.M.A. Chaudhry, C. Erkinbaev, and J. Paliwal. 2022. Development of safe storage guidelines for Prairie-grown flax. Journal of Stored Products Research 97:101965.
Pu, H., F. Xu, Q. Wei, J. Paliwal, and D.W. Sun. 2022. Shell thickness‑dependent Au@Ag nanorods aggregates for rapid detection of thiram. Journal of Food Measurement and Characterization 16:1448-1458.

Hasan, M.M., M.M.A. Chaudhry, C. Erkinbaev, J. Paliwal, S. Suman, and A. Rodas-Gonzalez. 2022. Application of Vis-NIR and SWIR spectroscopy for the segregation of bison muscles based on their color stability. Meat Science 188:108774.