CENTRE FOR IoT AND AI INTEGRATION WITH EDUCATION INDUSTRY AGRICULTURE
Brief History:
Established in 2022 under the Faculty of Science and Technology at KaziNazrul University, the centre aims to leverage cutting-edge technologies to address real-world challenges. With a strong foundation in research and innovation, the centre strives to become a catalyst for growth and development in the region. The centre is actively engaged in various research projects, exploring the potential of IoT and AI in transforming education, industry, and agriculture. By fostering collaboration among faculty members, students, and stakeholders, the centre promotes knowledge sharing, innovation, and entrepreneurship.
Vision:
To emerge as a leading research hub, fostering innovation and excellence in IoT and AI applications across education, industry, and agriculture, and contributing to societal development.
Mission:
To create a collaborative ecosystem for multidisciplinary research, development, and deployment of IoT and AI solutions, enhancing knowledge, productivity, and sustainability in diverse domains.
Course Offered:
The Centre CIoTAI will offer the following PhD programs since its inspection:
|
SL No |
Programme Name |
Subject |
Eligible Criteria (Preceding Degree) |
|
1 |
PhD (Science) |
Mathematics |
M.Sc. in Mathematics or Equivalent |
|
2 |
PhD (Science) |
Geoinformatics |
M.Sc. in Geography/Geoinformatics or Equivalent |
|
3 |
PhD (Science) |
Computer Science |
M.Sc. in Computer Science/MCA or Equivalent |
|
4 |
PhD (Technology) |
Computer Science and Engineering |
M. Tech / M.E in Computer Science and Engineering or Radio Physics and Electronics or Equivalent |
|
5 |
PhD (Technology) |
Electronics and Communication Engineering |
M. Tech/ M.E in Electronics and Communication Engineering or Radio Physics and Electronics or Equivalent |
|
6 |
PhD (Technology) |
Mining Engineering |
M. Tech/ M.E in Mining Engineering or Equivalent |
|
7 |
PhD (Technology) |
Mechanical Engineering |
M. Tech/ M.E in Mechanical Engineering or Equivalent |
|
8 |
PhD (Technology) |
Metallurgical and Materials Engineering |
M. Tech/ M.E in Metallurgical and Materials Engineering or Equivalent |
|
|
|
|
Associated Faculty:
Dr. Arindam Biswas, Cordinator, Centre for IoT and AI Integration with Education-Industry-Agriculture
Members:
Contact:
Dr. Arindam Biswas 
Cordinator, Centre for IoT and AI Integration with Education-Industry-Agriculture
Existing Facilities:
The centre has access to the following existing facilities and resources:
1. High-Performance Computing (HPC): Utilizable for machine learning algorithm development and data analysis.
2. IoT Sensors: Available for data collection, reducing the need for new sensor procurement.
3. Sensor Calibration Unit: Ensures accuracy and reliability of IoT sensor data.
4. Data Storage and Management: Existing infrastructure can store and manage large datasets generated by IoT sensors.