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Webinar on IIOT Analytics

Event Date: 28th August 2024

A webinar hosted by the School of Computer Applications and Technology (SCAT) and the School of Computer Science and Engineering (SCSE) featured Dr. Nilesh N. Maltare as the speaker. Dr. Maltare provided an in-depth exploration of Industrial Internet of Things (IIoT) Analytics, highlighting its transformative impact on industries such as manufacturing, energy, and healthcare. The session covered the benefits of IIoT Analytics, including enhanced efficiency, predictive maintenance, and improved decision-making, while addressing real-time data processing challenges and offering practical implementation tips. The webinar was well-received, equipping attendees with valuable insights to leverage IIoT Analytics in their respective fields.

A webinar was hosted by School of Computer Applications and Technology (SCAT) and School of Computer Science and Engineering (SCSE). The speaker of the webinar was Dr. Nilesh N Maltare.

Dr. Nilesh N. Maltare, who earned his PhD in Computer Engineering from Gujarat Technological University in 2020, is an Assistant Professor at Government Engineering College, Modasa, Gujarat. With 16 years of teaching and over 10 years of research experience, he has published more thirteen papers, holds two patents, and authored a PhD thesis titled “An Adaptive Design Pattern for Parallel

Programming.” His research focuses on the Internet of Things, Machine Learning, and Parallel Processing, where he develops scalable solutions for complex computational challenges. Dr. Maltare is also deeply involved in mentoring students and guiding research projects. Dr. Maltare began by introducing the concept of the Industrial Internet of Things (IIoT) and its growing significance in modern industries. He then delved into the analytics aspect, explaining how data generated from IIoT devices can be effectively harnessed to improve operational efficiency, predictive maintenance, and decision-making processes.

Dr. Maltare highlighted several real- world applications of IIoT Analytics, demonstrating how it can revolutionize industries like manufacturing, energy, and healthcare. He also discussed the challenges in processing and analyzing large volumes of data in real-time, and the innovative solutions his research offers in this domain. The webinar was not only informative but also practical, as Dr. Maltare shared valuable tips on implementing IIoT Analytics in various industrial settings.

Overall, the webinar provided a comprehensive overview of IIoT Analytics, blending theoretical knowledge with practical applications, and inspiring participants to explore the potential of this transformative technology in their respective fields.

Event Outcome:

The webinar, led by Dr. Maltare, successfully provided attendees with a deep understanding of Industrial Internet of Things (IIoT) Analytics. Participants gained valuable insights into how IIoT Analytics can enhance operational efficiency, enable predictive maintenance, and improve decision-making processes across industries such as manufacturing, energy, and healthcare. Dr. Maltare’s discussion on the challenges of real-time data processing and his innovative solutions offered practical guidance for overcoming these obstacles. Attendees left with actionable knowledge and practical tips for implementing IIoT Analytics in their own industrial settings, inspired to explore and leverage this transformative technology to drive progress in their respective fields.

Mentor Name – Dr. Nilesh N. Maltare

Department Name – School of Computer Applications and Technology

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