Mamta Mittal is working as Associate Professor(Data Analytics and Data Science) at Delhi Skill and Entrepreneur University, New Delhi (under Government of NCT Delhi). She has received Ph.D. in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad. She has been teaching for the last 21 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a Life time member of CSI and published more than 100 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier CRC Press etc. and working on DST approved Project “Development of IoT based hybrid navigation module for midsized autonomous vehicles” with research grant of 25 Lakhs. Currently, she is guiding PhD scholars in the field of Machine Learning and Deep Learning. She is editor of book Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA. Dr. Mittal is member of Editorial Board with InderScience, Bentham Science, Springer and Elsevier and Associate Editor with SCIE Indexed journal of Springer. Jyotindra Narayan is a Postdoctoral Research Associate in the domain of healthcare robotics and artificial intelligence at Brain and Behaviour Lab, Imperial College London (United Kingdom) and University of Bayreuth (Germany). He completed his PhD in January 2023 from the Mechanical Engineering Department at the Indian Institute of Technology Guwahati (IIT Guwahati), India. His research was dedicated to designing, developing, and controlling passive-assist and active-assist control schemes for the lower-limb exoskeleton systems for pediatric gait training and assistance. Dr. Narayan completed a Master of Engineering (ME) at Thapar University, India, in 2017, with a specialization in CAD/CAM and robotics, where he worked on the patient side of medical manipulators. Over the years, he has delved deep into classical and modern control theory, focusing on robust and adaptive control methodologies. This has culminated in the publication of over 60 articles in reputed peer-reviewed journals and conferences, including more than 25 Science Citation/Scopus Indexed (Q1 and Q2) journals. Dr. Narayan has significant experience handling submissions as an editor in reputed journals such as PLOS ONE and the International Journal of Advanced Robotic Systems. He hosted and chaired special sessions on robust and adaptive control schemes for many reputed International conferences like CoDIT 2024 and IC ASET 2023, where he facilitated research discussions among leading experts in the field. He is a lead reviewer in the indexed journals of Springer, IEEE, Elsevier, MDPI, and international co
