Soumil Hooda

Silicon Engineer at Google

I am a graduate of BITS Pilani, Hyderabad, where I completed a Bachelor of Engineering in Electrical and Electronics and a Master of Science in Physics. During my time there, I had the opportunity to intern at the Space Applications Centre (SAC), ISRO, and CSRI-CEERI, Pilani. I was fortunate to collaborate with wonderful researchers including Prof. Manik Gupta, Prof. Rajesh Tripathy, and Dr. Satya Prakash Ojha. My research during this period focused on applied machine learning across various domains, including remote sensing, atmospheric modelling, healthcare, and Brain-Computer Interface (BCI) systems.

I also devoted time to developing a comprehensive weather risk management system for India. I believe the Indian market in this sector is significantly underserved, which led me to develop multiple financial products such as temperature-based derivative contracts, temperature-energy quanto contracts, rainfall-agriculture quanto contracts, and wind/solar energy swaps. I also actively researched securitization for government-backed insurance schemes like the PMFBY and WBCIS. Please click here if you wish to read a more personal anecdote about this.

Most recently, my research has focused on developing a GNN-based framework for the formal verification of complex Finite State Machines (FSMs), employing RL-driven coverage analysis to enhance fault detection. This was a side project I picked up during my internship at Texas Instruments, where I developed an assertion-based verification IP for an internal communication protocol. I concluded my undergraduate program with an internship at Google, where I contributed to chassis platform development.

Email / Google Scholar / LinkedIn / Github

News

(Upcoming!) [August/2025] Joining Google as a Silicon Engineer.

(Upcoming!) [August/2025] Graduated with a BE Electrical and Electronics & MSc Physics!

[February/2025] New work at IEEE Access out!

[January/2025] Joining Google as a Hardware Engineering Intern.

[September/2024] New preprint out at arXiv q-fin:RM.

[July/2024] Joining Texas Instruments as a Digital Design Intern.

[January/2024] New work at IEEE GRSL out!

[November/2023] New work at IEEE TGRS out!

[August/2023] Ravi Bhushan presented our poster at ACM COMPASS.

[April/2023] New work at IEEE IGARSS accepted! (Withdrawn due to VISA issue.)

Thoughts

Output Swaps and Silicon Shields: A New Math for Fab Risk

Research

	SERN-AwGOP: Squeeze-and-Excitation Residual Network With an Attention-Weighted Generalized Operational Perceptron for Atrial Fibrillation Detection Soumil Hooda, Rajesh Kumar Tripathy IEEE Access*, 2025 SERN-AwGOP detects atrial fibrillation from ECG with high accuracy, robustness to noise, and strong cross-dataset generalization.
	Supervised Model for Peri-Urban Area Demarcation in Hyderabad, India Ravi Bhushan, Soumil Hooda, Hiten Vidhani, Manik Gupta, Lavyana Suresh, Timothy Clune IEEE Geoscience and Remote Sensing Letters*, 2024 RBF-SVM model maps peri-urban expansion near Hyderabad, revealing 108% growth.
	Retrieval of Atmospheric Water Vapor Profiles From COSMIC-2 Radio Occultation Constellation Using Machine Learning Soumil Hooda, Manik Gupta, Randhir Singh, Satya P. Ojha IEEE Transactions on Geoscience and Remote Sensing*, 2023 ANN model retrieves atmospheric water vapor from COSMIC-2 data, outperforming existing methods.

Research Attempts

Quantifying Seasonal Weather Risk in Indian Markets: Stochastic Model for Risk-Averse State-Specific Temperature Derivative Pricing
Soumil Hooda*, Shubahm Sharma, Kunal Bansal
arXiv Risk Management (q-fin.RM), 2024

Stochastic model prices Indian weather derivatives (HDD, CDD, extreme events) for state-specific hedging. Caution: The specific risk-neutral measure implementation requires validation.

Last updated on July 15th 2025. Website Template taken from Jay Karhade.