Degree in Engineering: Bachelor of Engineering in Electronics, 1991 to 1995 College: Rashtriya Vidyalaya College of Engineering (RVCE), Bangalore University: Bangalore University

01-Aug 2017 to      Srishti Manipal Institute of Art, Design, and Technology
Present            Designation: Faculty – Head of Studies: Creative & Applied Computation (CAC)

18-Jul 2011 to     Schneider Electric India Pvt. Ltd., IPO – Global Delivery
14-Oct 2016        Designation: General Manager

Feb 2003 to      Sony India Pvt. Ltd., Sony India Software Center
Feb 2010          Designation: Delivery Manager

Nov 2001 to      ZenSutra Software Technologies Pvt. Ltd (Subsidiary of Citadon Inc, USA)
Feb 2003.         Designation: Principal Software Engineer

Mar 2001 to     Sunquest Information Systems Pvt. Ltd., ITPL Bangalore
Oct 2001          Designation: Senior Software Engineer

Jun 1999 to    Visionplanner Inc., Bangalore (San Jose-based Startup Company)
Mar 2001.       Designation: Project Leader

Mar 1998 to     Axicon SEA Private Limited, Bangalore.
Jun1999           Designation: Software Engineer

Feb 1997 to       Industry Uniserve PTY Ltd, Bangalore (Subsidiary of GE Multilin)
Mar 1998           Designation: Application Engineer

Sep 1995 to       Kirloskar Systems Limited, Bangalore
Feb 1997           Designation: Project Engineer

My primary research interests lie at the intersection of computation, ecology, nature conservation, and law. Specifically, I am focused on:

Computation in Ecology: Exploring how computational techniques and models can be applied to ecological studies to better understand complex environmental systems. This includes the use of data analytics, machine learning, and simulation modeling to predict ecological patterns and processes, assess biodiversity, and monitor ecosystem health.

Nature Conservation: Utilizing computational tools to support conservation efforts. This involves developing algorithms and software to track wildlife populations, map habitats, and identify critical areas for conservation. My work aims to enhance the effectiveness of conservation strategies through precise data analysis and real-time monitoring.

Law and Policy: Investigating the role of computation in the development and enforcement of consumer laws and policies. This includes the use of digital tools to ensure compliance with the Ministry of Consumer Affairs. My research seeks to bridge the gap between technological advancements and legal mechanisms to promote more effective governance.

By combining these areas, my goal is to contribute to the sustainable management and protection of natural resources through innovative computational approaches and informed policy interventions.

I teach and facilitate Creative & Applied Computation, a comprehensive course covering essential topics such as the basics of programming, the internet, WWW, and browser architecture, as well as mastering JavaScript, HTML, and CSS. The curriculum includes full-stack coding, exploring various JavaScript libraries, database management, and cloud computing along with various SaaS services provided by cloud platforms. Additionally, the course covers Python programming, machine learning using Python, generative AI, and the intersection of computation with various domains. We utilize physical computing with Arduino and Raspberry Pi to build various projects. I also focus on the principles of design, emphasizing multidisciplinary, interdisciplinary, and transdisciplinary aspects of the field. This includes delving deep into research methodologies and the core principles of data analysis, such as descriptive, inferential, and predictive statistics, as well as data visualization.

Crafting a teaching portfolio focused on undergraduate and postgraduate programs in Creative and Applied Computation (UGPP) and Design Computation (PG) involves more than just compiling a list of courses taught. It’s about curating a narrative of educational innovation and fostering a dynamic learning environment where students not only acquire technical skills but also cultivate creativity and critical thinking.

In the undergraduate program, the emphasis lies on igniting students’ passion for creative exploration within the realm of computation. Through hands-on projects and interdisciplinary collaborations, students delve into the intersection of art, technology, and computation, harnessing tools like P5.js and swarm algorithms to bring their ideas to life in tangible digital forms. By nurturing a culture of experimentation and iteration, the UGPP curriculum equips students with the versatility and adaptability needed to thrive in a rapidly evolving technological landscape.

In the postgraduate program, Design Computation takes center stage, offering students a deeper dive into the application of computational methods in design practice. From parametric modeling to algorithmic design, students are challenged to push the boundaries of conventional design thinking and explore innovative approaches to problem-solving. Through a blend of theoretical exploration and practical application, students develop a nuanced understanding of how computation can augment and enhance the design process, ultimately empowering them to become leaders in the field of computational design.

Beyond the classroom, the teaching portfolio showcases a commitment to fostering a supportive and inclusive learning environment, where diverse perspectives are celebrated and collaboration is encouraged. Whether through mentorship initiatives, guest lectures, or industry partnerships, the aim is to provide students with holistic learning experiences that prepare them not only for academic success but also for meaningful contributions to the broader community.

In essence, the teaching portfolio for UGPP Creative and Applied Computation and PG Design Computation amplifies the transformative power of education in shaping the next generation of creative thinkers, problem-solvers, and innovators in the ever-expanding landscape of computational design and beyond.

Creative practice in applied computation, like using P5.js, connects art and technology. With tools like P5.js, artists and programmers mix code and creativity easily, turning ideas into digital experiences. P5.js lets creators make amazing web experiences, from art installations to coding lessons, attracting audiences in new ways. Similarly, swarm algorithms help understand complex systems in robotics and urban planning.

This practice impacts more than just art. Using P5.js, we teach coding to students through fun projects, boosting creativity and critical thinking. Swarm algorithms also change industries like logistics, making routes and resources more efficient and sustainable.

Looking ahead, creative coding and swarm intelligence have endless potential. Advancements in AI will make these tools even better, leading to new interactive art and smart systems. Picture drones controlled by swarm algorithms for stunning aerial shows, or robots guided by AI and P5.js to help artists bring their ideas to life