Priyadarshini Panda
About Priyadarshini Panda
Priyadarshini Panda is an Assistant Professor at Yale University, specializing in novel learning algorithms and energy-efficient machine intelligence. She holds a PhD in Electrical and Computer Engineering from Purdue University and has a diverse background in research and industry roles.
Work at Yale University
Currently, Priyadarshini Panda serves as an Assistant Professor at Yale University. She has held this position since 2019, contributing to the academic and research environment within the institution. Her work focuses on developing novel architectures for new computing models, particularly in the areas of stochastic optimization for planning and decision-making.
Education and Expertise
Priyadarshini Panda has a robust educational background in engineering and physics. She studied at Birla Institute of Technology and Science, earning a Dual Degree in Electrical and Electronics Engineering and MSc Physics from 2008 to 2013. She furthered her education at Purdue University, where she obtained a Doctor of Philosophy (PhD) in Electrical and Computer Engineering from 2014 to 2019. Her expertise lies in machine intelligence, algorithm-hardware co-design, and energy-efficient design methodologies.
Background and Early Career
Priyadarshini Panda began her career with internships at notable companies, including Wipro Technologies and NVIDIA in 2010 and 2013, respectively. She also worked as a Component Design Engineer at Intel Corporation from 2013 to 2014 in Bangalore, India. Additionally, she contributed to the Placement Unit at Birla Institute of Technology and Science Pilani in 2012, gaining valuable experience in academic and professional environments.
Research Focus
Priyadarshini Panda's research encompasses novel supervised and unsupervised learning algorithms for feedforward spiking and dynamic reservoir networks. She aims to empower energy-aware and energy-efficient machine intelligence through algorithm-hardware co-design. Her work also addresses security against adversarial scenarios while considering the resource constraints of IoT devices, focusing on scalable energy-efficient design methodologies for deep learning and neuromorphic applications.
Professional Experience
In addition to her current roles, Priyadarshini Panda has held various positions that enhance her professional experience. She worked as a Research Intern at Intel Labs in 2017 for three months in Hillsboro, OR. Her diverse experiences across different companies and roles have equipped her with a comprehensive understanding of both theoretical and practical aspects of her field.