Ashish Kumar Dass

Ashish Kumar Dass completed his M.Tech. in Computer Science and Engineering from National Institute of Science and Technology (NIST), Berhampur, Odisha .He is perusing his PhD in Computer Science and Engineering under BPUT, Odisha. He has more than 15 years of experience in Academic and Administration as an Assistant Professor at School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, India. His research interests mainly focus on Under-water Wireless Sensor Network, Ad-hoc & Sensor Network, Computer Security, Artificial Intelligence, image Processing and Mathematical modeling. He is the Life member of ISTE. To his credit he has published more than 10 research paper in national and International conferences, Journals and book chapters.

Publications

An Optimal Data Communication System in Wireless Sensor Network Using Artificial Neural Network
An Optimal Data Communication System in Wireless Sensor Network Using Artificial Neural Network
Ashish Kumar Dass, Santosh Kumar Das. © 2023. 15 pages.
Wireless sensor networks (WSN) can be referred to as a group of spatially dispersed and dedicated sensors that are self-capable of collecting environmental information...
An Intelligent Agent-Based Localization System in Underwater Wireless Sensor Networks
An Intelligent Agent-Based Localization System in Underwater Wireless Sensor Networks
Ashish Kumar Dass, Sudhakar Das, Sudhir Ranjan Pattanaik. © 2023. 21 pages.
Underwater wireless sensor networks (UWSN) comprise of numerous relatively low-cost, self-organizing, and static as well as mobile sensor nodes. The wireless sensor node is used...
An AI-Based Efficient Model for the Classification of Traffic Signals Using Convolutional Neural Network
An AI-Based Efficient Model for the Classification of Traffic Signals Using Convolutional Neural Network
Manjushree Nayak, Ashish Kumar Dass, Sapna Singh Kshatri. © 2023. 16 pages.
The objective of this study is to build a model for the classification of traffic signs available in the image into many categories using a CNN and Keras library to detect the...