In our Proud to Publish series we talk to our book editors about the books they were most proud to publish, commission or work on, in the past year. Our aim is to celebrate the work that goes into acquiring content and highlight the great variety by rolling out the red carpet for favourite titles that demonstrate why we can be proud to publish books at ¹ú²úÂÒÂ×. Our editors are passionate about publishing, engaged in their research communities, markets and specialist disciplines - be it particle physics or the collected works of sociologist Claus Offe.
Below is a short interview with Shamim Ahmad who is Senior Editor for Mathematics Books based in New Delhi, India.
Thinking about books you’ve signed or published in 2020, which one are you most proud of?
I'm indeed proud to sign Prof. Ramji Lal for his four volumes on Algebra.
Why is this your personal 2020 highlight?
These four volumes offer a series of excellent textbooks of algebra for mathematics students, starting from lower undergraduate level to senior undergraduate level and then graduate level in all universities across the world. They discuss all major topics in algebra with numerous motivating illustrations and exercises to enable readers to acquire a good understanding of the basic algebraic structures, which they can use to find the exact or the most realistic solutions to their problems.
Click here for more information about these and other titles in our Mathematics & Statistics collection. If you would like to add any of the above titles to your library contact us here.
If you are interested in publishing Mathematics books with us, please contact Shamim Ahmad.
About this series:
The Infosys Science Foundation Series in Mathematical Sciences, a Scopus-indexed book series, is a sub-series of the Infosys Science Foundation Series. This sub-series focuses on high-quality content in the domain of mathematical sciences and various disciplines of mathematics, statistics, bio-mathematics, financial mathematics, applied mathematics, operations research, applied statistics and computer science. All content published in the sub-series are written, edited, or vetted by the laureates or jury members of the Infosys Prize. With this series, Springer and the Infosys Science Foundation hope to provide readers with monographs, handbooks, professional books and textbooks of the highest academic quality on current topics in relevant disciplines. Literature in this sub-series will appeal to a wide audience of researchers, students, educators, and professionals across mathematics, applied mathematics, statistics and computer science disciplines.
About the author: