Large Numerical Models from a Business Perspective: LNM, a Parallel Universe to LLM

Author:   Srinivas Kilambi ,  Mahesh Banavar
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032148681


Pages:   112
Publication Date:   13 January 2026
Format:   Hardback
Availability:   In Print   Availability explained
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Large Numerical Models from a Business Perspective: LNM, a Parallel Universe to LLM


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Author:   Srinivas Kilambi ,  Mahesh Banavar
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032148681


ISBN 10:   3032148685
Pages:   112
Publication Date:   13 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Srinivas Kilambi is a passionate technologist at heart with a career spanning over three decades in academics, research, industry/corporates, start-ups across diverse verticals such as chemicals, biomass & renewable energy, clean water, machine-learning & artificial intelligence and education. He is the founder of the Sriya Group. His specialties include: Large Numerical Models (LNM), Large Language and Numerical Models (LLNM), Machine Learning, Green Building Materials, Green Chemicals, Bio-Refineries, Biomass, solar, nanotechnology, biotechnology, and clean water. Dr. Kilambi earned his BS in Chemical Engineering from the Indian Institute of Technology, Chennai, India, and then MS in Environmental Engineering from Clarkson and Johns Hopkins Universities, followed by a PhD in Chemical Engineering from the University of Tennessee-Knoxville. Dr. Kilambi also holds a CFA certification. Dr. Mahesh Banavar is a Professor of Electrical and Computer Engineering at Clarkson University, where he also serves as the Associate Director for Faculty Support at the Institute for STEM Education. He received his BE in Telecommunications Engineering from Visvesvaraya Technological University in India, followed by MS and PhD degrees in Electrical Engineering from Arizona State University. Dr. Banavar’s research spans signal processing, machine learning and artificial intelligence, and STEM education. He leads the Communications, Signal Processing, and Networking (CoSiNe) Lab at Clarkson University, where his work bridges algorithms and applications, with a focus on interdisciplinary and community-engaged research. He is a member of the Tau Beta Pi and Eta Kappa Nu engineering honor societies. Outside academia, Dr. Banavar serves his community as a certified New York State EMT and active volunteer with the Potsdam Volunteer Rescue Squad.

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