Hello, my name is
Pranav Krishna
Artificial intelligence, Control Systems, & Robotics.
- pranavkrishna99@gmail.com
About me
Physics-Informed Deep Learning: Architecting the Future of Control Systems with AI
Integrating First Principles and Deep Learning, I design models for predictive control of linear & non-linear dynamical systems.
I am a dedicated chemical engineer with a fervent passion for the intricate world of control systems. My journey has been fueled by an unyielding curiosity about the convergence of artificial intelligence, the principles of chemical engineering, thermodynamics, and control theory to elevate the performance and capabilities of real world dynamical systems.
With a Masters degree in chemical engineering, I specialize in “hybrid modeling” for advanced control systems. Throughout my academic journey, I have conducted pioneering research on physics-informed deep learning—bridging first-principle physical equations of real world systems with data-driven AI models to elevate predictive control of thermal systems. By combining physical laws with the non-linear modeling capabilities of Neural Networks, my work advances the frontiers of controls engineering and highlights the transformative impact of hybrid modeling in real-world applications. To read more, please click the link below.
Research & Publications
My passion extends to diverse projects in data analytics, deep learning, and system dynamics and control. I leverage these projects to enrich my knowledge base, fostering a well-rounded approach. This dynamic involvement allows me to contribute meaningfully to the intersection of control systems and emerging technologies. With a commitment to continuous learning, I am excited to explore new possibilities and make impactful strides in this ever-evolving field.
Deep Learning & Training Algorithms Research
Research specializing in developing training methodologies for coupled state and non-linear parameter estimation
Physics-Enhanced Hybrid Deep learning modeling & simulation
Research specializing in physics-informed deep learning models to accurately model non-linear dynamics in heavily noisy systems
Control systems & Optimization
Developing process optimization strategies and energy intensification with novel equipment design and implementation of predictive control
My Experience
Present-2024
Lonza
(Formerly Genentech, Vacaville)
Automation Systems Infrastructure Engineer
I have responsibly led a team of 12 designers to help, supervise and approve their designs to make sure it matches client expectations and latest design standards.
2023-2024
Genentech
Automation Systems Infrastructure Engineer
I was responsible for all the in-house and client-based web development assignments. I take pride in having helped the best of clients and getting maximum ratings for the company.
2021-2023
Genentech
Graduate Student Researcher
I was responsible for all the in-house and client-based web development assignments. I take pride in having helped the best of clients and getting maximum ratings for the company.
2020-2020
Yokogawa
Statistical Control Engineer - Intern
I was responsible for all the in-house and client-based web development assignments. I take pride in having helped the best of clients and getting maximum ratings for the company.