Recognized as a Top 2% Scientist for 2024!
I am incredibly honored and humbled to be recognized as one of the Distinguished Alumni Awardees for 2024 by my alma mater, St. Vincent Pallotti College of Engineering & Technology, Nagpur.
Recognized as a Top 2% Scientist for 2024!
I am thrilled to share that I have been recognized among the top 2% of scientists worldwide in the field of Information & Communication Technologies, with a focus on Energy. This recognition, presented by Elsevier and Stanford University, highlights my ongoing dedication to advancing research and innovation in the energy sector.
Honored to Receive the Prestigious NOVA Award for Renewable Energy Research
I’m deeply honored to share that I have received the NOVA Award at the Technology Innovation Institute (TII), Abu Dhabi, in recognition of my research contributions in renewable energy planning for the year 2024.
Greetings to all,
Dear colleagues and friends,
Details of my nomination for R Project Sprint 2023
I am excited to share that I have been nominated to participate in the upcoming R Project Sprint 2023! This annual event unites R enthusiasts, developers, and experts from around the globe to collaborate on projects that aim to enhance and expand the R ecosystem. The R Project Sprint is a true testament to the power of community and collaboration, and I am honored to be part of this incredible gathering.
Dear Colleagues,
Thank you, Google for the delightful email.
This post is to demonstrate an R Package for implementing Vedic Calendar System
The VedicDateTime package provides a platform for the Vedic calendar system having several functionalities to facilitate conversion between Gregorian and Vedic calendar systems, and is helpful in examining its impact in the time series analysis domain. The background is described in Neeraj Dhanraj Bokde et al. (2021), Karanam L. Ramakumar et al. (2011), [K. S. Charak et al. (2012], (https://www.amazon.in/Elements-Vedic-Astrology-K-S-Charak/dp/8190100807), Satish BD et al. (2013).
This post is an update on my recent publication on cleanTS package
I am glad to share that our R package cleanTS is now accepted for publication in Neurocomputing (Elsevier) journal. This is a recent package joining the league of Automated Machine Learning (AutoML) tools contributed by me and my teams. While working on huge and voluminous time-series datasets, I felt that there is a need to automate the processes of data cleaning, and this led to the concept of cleanTS.
