Gaurav Saxena
About Gaurav Saxena
Gaurav Saxena is a High Performance Computing Specialist currently employed at the Barcelona Supercomputing Center and PerMedCoE. He holds a PhD in High Performance and Scientific Computing from the University of Leeds and has over a decade of teaching experience in computer science subjects.
Work at Barcelona Supercomputing Center
Gaurav Saxena has been employed at the Barcelona Supercomputing Center as a High Performance Computing Specialist since 2019. In this role, he focuses on optimizing computational processes and enhancing performance in high-performance computing environments. His work contributes to various research projects and initiatives within the center, leveraging his extensive background in computing.
Education and Expertise
Gaurav Saxena holds a Doctor of Philosophy (PhD) in High Performance and Scientific Computing from the University of Leeds, which he completed from 2015 to 2018. He also earned a Master of Science (MSc) in High Performance Computing with Distinction from The University of Edinburgh in 2013. Additionally, he has an MSc in Informatics from the Institute of Informatics and Communication, University of Delhi, completed in 2002. His educational background equips him with a strong foundation in high-performance computing and parallel computing.
Background
Gaurav Saxena began his academic journey at St. Xavier School in Delhi, where he completed his XII studies in 1996. He then pursued a Bachelor of Science (BSc Hons.) in Electronics at Hans Raj College from 1997 to 2000. His teaching career includes positions as an Assistant Professor at Hans Raj College and Indraprastha College For Women in Delhi, where he taught various computing subjects from 2004 to 2013.
Achievements in Research and Development
During his PhD research, Gaurav Saxena developed a quasi-cache-aware model aimed at minimizing cache-misses and optimizing domain partitions, specifically applied to multilevel iterative structured grid solvers. He also created PhysiCell-X, a hybrid parallel version of PhysiCell utilizing MPI and OpenMP, which is instrumental in tumor modeling and studying the effects of medicinal injections like Tumor Necrosis Factor.
Programming Skills and Teaching Experience
Gaurav Saxena possesses extensive programming experience in languages such as C, C++, Fortran, MPI, and OpenMP, particularly in high-performance computing contexts. He has over 10 years of experience teaching subjects including Object Oriented Programming, Data Structures, Algorithms, Networks, and Unix Network Programming to both undergraduate and graduate students.