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Akansha Singh

Akansha Singh is a professor in the School of Computer Science and Engineering at Bennett University, Greater Noida, India. With an impressive academic background that includes a B.Tech, M. Tech, and a Ph.D. in Computer Science from IIT Roorkee, her expertise lies primarily in image processing, deep learning and machine learning. Dr. Singh's academic contributions extend beyond teaching; she has played significant roles as an Associate Editor and Guest Editor for several scholarly journals.


She has written more than 100 research papers in reputed journals, conferences, and books and authored more than 30 books in advanced computer science areas. Her dedication to research is evident through her leadership in government-funded projects as a Principal Investigator. Her research interests encompass a broad range of topics, including image processing, remote sensing, IoT, and machine learning.


Krishna Kant Singh serves as the Director of the Delhi Technical Campus, Greater Noida, India, bringing a wealth of teaching and research experience to his role. He hold multiple degrees, including a B. Tech, M. Tech, MS, and a Ph.D. from IIT Roorkee, all focused on image processing and Machine Learning. Dr. Singh has authored over 140 research papers in esteemed Scopus and SCIE indexed journals, along with 25 technical books, showcasing his profound impact on the field.


He is also the associate editor of IEEE ACCESS and many other journals of high repute. He has also served as a Guest Editor for Open Computer Science, Wireless Personal Communications, Complex and Intelligent systems, and many other journals. Additionally, his involvement in the Editorial Board of Applied Computing and Geosciences (Elsevier) highlights his significant contributions to academia and research.

Generative AI in R

Generative AI in R

Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem. This pioneering book is designed to bridge the gap between the advanced realms of Generative AI and the practical, statistical computing power of R.

Generative AI in R

Generative AI in R

Leverage Generative AI within the R programming environment and prepare for future directions and how new innovations can be applied in the R ecosystem. This pioneering book is designed to bridge the gap between the advanced realms of Generative AI and the practical, statistical computing power of R.