Suman Chakraborty

This project investigates the epidemiological dynamics of Botrytis cinerea (Gray Mold) in strawberry crops. By accounting for time-dependent variables—such as temperature fluctuations, moisture variations, and variable spore loads—we develop differential equation models to predict disease outbreak thresholds and healthy vs latent fruits in marketable yield.

My work bridges mathematical biology, computational modeling, and sustainable agriculture. I specialize in translating complex plant-pathogen dynamics into robust predictive frameworks to maximize crop protection.

1. Epidemiological Modeling: Developing continuous autonomous and non-autonomous differential equation systems to map disease progression over time.
2. Integrated Pest Management (IPM): Evaluating the synergy between chemical, biological, and cultural control mechanisms.
3. Sustainable Fruit Production: Designing actionable protection strategies for strawberry systems facing high pathogen pressure.
    

I am highly motivated to supervise enthusiastic Master's students, PhD candidates, and project students interested in the intersection of data and modeling.

If you are interested in exploring any of the following areas, please get in touch:

• Fungicide & Biocontrol Efficacy: Using your lab/greenhouse trial data (eg, pathogen growth inhibition zones, spore reduction rates) to calibrate pathogen decay rates in differential equations.
• Intercropping & Microclimate Trials: Translating field data regarding plant spacing, humidity, and microclimate variations into disease transmission coefficients.
• Disease Progression Tracking: Utilizing time-series data of Botrytis cinerea incidence in the field to validate seasonal outbreak models.

Please follow my ResearchGate profile (link is given below)