Shanu Sharma

Shanu Sharma is an Assistant Professor in the Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad (Affiliated to A.K.T University, Lucknow). She has a PhD from Amity University Uttar Pradesh and M.Tech (Intelligent Systems) from IIIT Allahabad. She has 13+ years of teaching and research experience and taught various courses at the graduate and under graduate level such as Image Processing, Data Mining, Machine Learning, Data Science, Data Structures, Analysis and Design of Algorithms, and Compiler Design. Her research areas include Cognitive Computing, Computer Vision, Pattern Recognition, and Machine Learning. She has published 40+ research papers in renowned Conferences and Journals and is currently associated with various reputed International Conferences and journals as a Reviewer. She has edited various special issues in Scopus indexed journals published by IGI Global, and Bentham Science. She has edited five books with renowned publishers such as Springer, IGI, CRC Press, and River Publishers. She is a senior member of IEEE and also an active member of other professional societies like ACM, Soft Computing Research Society (SCRS), EUSFLAT, and IAENG.

Publications

Technological Advancements in Data Processing for Next Generation Intelligent Systems
Shanu Sharma, Ayushi Prakash, Vijayan Sugumaran. © 2024. 357 pages.
Technological Advancements in Data Processing for Next Generation Intelligent Systems presents an in-depth exploration of cutting-edge data processing technologies that drive the...
Developments Towards Next Generation Intelligent Systems for Sustainable Development
Shanu Sharma, Ayushi Prakash, Vijayan Sugumaran. © 2024. 327 pages.
The rapid proliferation of connected devices in our daily lives, from smart homes to industrial sensors, has led to an explosion of data that requires processing before it is...
Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things
Divya Upadhyay Mishra, Shanu Sharma. © 2023. 279 pages.
With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various...
AUTOHAUS: An Optimized Framework for Secure and Efficient Parking
Shanu Sharma, Tushar Chand Kapoor, Misha Kakkar, Rishi Kumar. © 2023. 24 pages.
In this chapter, an optimized parking framework, AUTOHAUS, is presented that focuses on three aspects (i.e., automation, security, and efficient management of parking space). A...
Semantic Segmentation: A Systematic Analysis From State-of-the-Art Techniques to Advance Deep Networks
Aakanksha, Arushi Seth, Shanu Sharma. © 2022. 28 pages.
Semantic segmentation was traditionally performed using primitive methods; however, in recent times, a significant growth in the advancement of deep learning techniques for the...
Affective Video Tagging Framework using Human Attention Modelling through EEG Signals
Shanu Sharma, Ashwani Kumar Dubey, Priya Ranjan. © 2022. 18 pages.
The explosion of multimedia content over the past years is not surprising; thus, their efficient management and analysis methods are always in demand. The effectiveness of any...