Degree Registered For: MS by Research
Supervisor: Prof. Meenakshi D'Souza
Date of Joining: August 2024
Research Interest: Metrics for Software Sustainability, Green Software Development Practices, Internet of Things (IoT) and Sustainability,Edge and Cloud Computing for Sustainability, Formal Methods in Software Engineering,Automata theory and Formal Languages,Computational Learning Theory,Computational Complexity.
Mahima is a research scholar at IIIT Bangalore, specializing in software sustainability. Her current research focuses on developing metrics to assess the environmental impact of software systems, particularly in the context of cloud computing and green software. She aims to improve sustainability practices within the software industry by measuring and optimizing the carbon footprint of cloud-based applications.
Prior to her research career, Mahima worked as a Member Technical at ADP for three years, where she specialized in customizing APIs for various software systems. Her work involved integrating diverse systems and ensuring seamless communication between them, optimizing workflows, and enhancing system efficiency. This role allowed her to gain hands-on experience with API development, system integration, and technical troubleshooting, helping her to develop a strong foundation in software development and technical problem-solving.
Outside of her professional and research work, Mahima is passionate about photography, traveling, cooking, and reading books. She is also a trained Carnatic music vocalist, with a deep appreciation for the art form’s intricate rhythms and melodies. Mahima dreams of embarking on an expedition to Antarctica, drawn to its unique beauty and environmental significance. She is an avid explorer, always keen to discover new places and cultures.
Courses taken till now: Software Testing, Software Production Engineering, Machine Learning, Topics in Computability & Learning
Courses taken till now: Software Testing, Software Production Engineering, Machine Learning, Topics in Computability & Learning