Dept. of IoT

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Welcome to our Internet of Things (IoT) program. In today's rapidly evolving technological landscape, this program offers students a unique opportunity to harness the power of advanced technology and secure a promising future in the field.

Our curriculum is designed to equip students with the skills and knowledge necessary to excel in the world of IoT, a field that is increasingly shaping our interconnected world. With a strong foundation in computer science, students delve into IoT-specific coursework, exploring topics such as sensor networks, data analytics, and IoT security.

The benefits of this program are manifold. Graduates are well-positioned to meet the growing demand for professionals who can develop, implement, and manage IoT solutions across various industries, including healthcare, manufacturing, and smart cities. Additionally, students gain hands-on experience through practical projects, ensuring they are ready to tackle real-world challenges.

IoT is not just a technology; it's a transformative force. Our program ensures that students are not only up-to-date with the latest IoT advancements but are also prepared to lead the way in shaping the future of this exciting field. Join us in this journey of discovery and innovation, and unlock a world of opportunities in the ever-expanding realm of IoT. Your future begins here.


Programme Type:Bachelor of Technology (B.Tech)
Duration:  4 years
Approved by:  All India Council for Technical Education (AICTE)
Affiliated to: MaulanaAbulKalam Azad University of Technology (MAKAUT)
Number of seats:30 per year

Faculty List

Faculty, Dept. of Internet Of Things

Name : Dr Nilanjan Dey
Designation: Assistant Professor
Qualification: Ph.D, 
Specialization :
Experience: 13 years
Associations-& Achievements:
Editor-in-Chief of the  International Journal of Ambient Computing and Intelligence (IGI Global). He is the Series Co-Editor of  Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is having 110 books (authored and edited) and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc..
No. of Publications:
513
Name : Dr. Tapasi Bhattacharjee
Designation: Assistant Professor
Qualification: Ph.D, M. Tech. BE
Specialization : Multimedia content securityQuality access control Secret sharing Blockchain Technology Cyber security
Experience: 15 years
Associations-& Achievements:

No. of Publications: