PHI Learning
Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
M.S. NARASSIMA is an Assistant Professor of Operations at the Great Lakes Institute of Management, Chennai. He completed his Ph.D. in Supply Chain, M.Tech in Manufacturing Engineering, and B.Tech in Mechanical Engineering from Amrita Vishwa Vidyapeetham, Coimbatore. He has industrial experience in data analytics, system modelling, supply chain, etc. So far, he has authored 51 publications in International Journals and Conferences. He serves as a reviewer for international journals. He offers evidence-based solutions to real-time industrial problems, largely using modelling and simulation and quantitative techniques.
SHRIRAM K. VASUDEVAN is a distinguished Technology Leader at Intel, with over 17 years of experience spanning both industry and academia. Holding a Doctorate in Embedded Systems, he has made remarkable contributions to technology, research, and education. His passion for innovation is evident in his extensive work experience, including his 52 books published by esteemed publishers.
Dr. Shriram is a Fellow of IEI and IETE and a Senior Member of IEEE. Also, he has been associated with Intel Corporation. With an impressive 14 patents and 150+ research articles, Dr. Shriram has received global recognition. His expertise has earned him prestigious awards from Harvard, Google, and various governments worldwide, solidifying his reputation as a thought leader in AI and embedded systems. Beyond research, he is a strong advocate for hands-on learning, making significant strides as a hackathon enthusiast and an Intel oneAPI Certified Instructor. His contributions and impact in the technology ecosystem have also earned him an entry in the Limca Book of Records.
SINI RAJ PULARI is an accomplished academician and industry professional with 17 years of experience in reputed Indian universities and industry. She currently serves as a Program Manager at Bahrain Polytechnic in the Kingdom of Bahrain, specializing in Computer Science Engineering and actively contributing to teaching, research, and professional development. Her research expertise spans Natural Language Processing (NLP), Recommender Systems, Information Retrieval, Deep Learning, and Machine Learning. She has authored over 30 publications, including the books on ‘Deep Learning: A Comprehensive Guide’, ‘Machine Learning Using Intel one API’ and ‘Natural Language Processing’. Prof. Sini has mentored 50+ UG and PG students, guiding them on innovative product-based projects and algorithmic advancements.
