GET THE MACHINES TALKING AND GET THEM TO WORK EFFICIENTLY
INDUSTRIAL INTERNET OF THINGS
B Tech in Industrial Internet of Things (IIoT) is a UG program focused on developing intelligent
and connected systems in industrial settings. The study of Sensors, Connectivity, Cloud
Computing, Data Analytics, and other technologies, facilitating industrial systems to
communicate, collaborate, and optimize their performance is an essential part of the
curriculum.
The course comprises the study of Computer Networks, Embedded Systems,
Industrial Automation, Cyber-physical Systems, Data Analytics, Cloud Computing, and Machine
Learning along with the ethical and social implications of developing intelligent systems. The
career scope of IIoT is expansive across various industries as manufacturing, energy,
transportation, and healthcare. IIoT Graduates can pursue a career in Manufacturing, Energy,
Transportation, and Healthcare as IIoT Engineer, Automation Engineer, Data Analyst,
Cybersecurity Engineer, and System Integrator.
With the rise of automation, the demand
for IIoT professionals is also envisioned to grow. This program equips graduates with the skills
and knowledge to excel in the industry and stay true to their role in the transformation of
industries through the integration of intelligent and connected systems.
VISION
To be a trailblazing center of excellence in Industrial Internet of Things, providing cutting-edge education and research to tackle industry problems and drive sustainable development.
MISSION
M1 : To equip students with the necessary technical expertise and innovation-driven aptitude to contribute to the advancement of the Industrial Internet of Things, through state-of-the-art education and research collaborations with industry partners. M2 : To inspire and empower students to become thought leaders in the Industrial Internet of Things field through a holistic education approach encompassing technical skills, critical thinking, and socio-environmental responsibility, and drive positive social change. M3 : To prioritize the development of ethical and socially responsible students through a focus on sustainable development, community engagement, and respect for human rights.
Faculty Directory of Artificial Intelligence & Machine Learning
| Name : | DR. DIVYA AGARWAL |  |
| Designation : | Assistant Professor | |
| Qualification : | B. Tech (ECE), JVWU, Jaipur - Gold Medalist M.Tech (RA), IGDTUW, Delhi - Gold Medalist Ph.D., USICT, GGSIPU, Delhi GATE Qualified, Awarded with Visvesvarya Scholarship for Ph.D | |
| Area of Interest : | Robotics, Automation, Mechatronics, Path Planning and Obstacle Avoidance Algorithms, Optimization Algorithms, Facility Layout Planning | |
| Name : | DR. GOPAL CHOUDHARY |  |
| Designation : | Assistant Professor | |
| Qualification : | Ph.D( University of Delhi, Delhi), M.Tech (DTU, Delhi), B.Tech (UPTU, Lucknow), UGC-NET, GATE | |
| Area of Interest : | Soft Computing, Artificial intelligence, Pattern Recongnition, Biometrics | |
| Name : | DR. PRAVEEN CHAURASIA |  |
| Designation : | Assistant Professor | |
| Qualification : | B.E.(Hons.), RGPV Bhopal M.Tech, MNIT Jaipur Ph.D, IIT(ISM), Dhanbad GATE, UGC NET | |
| Area of Interest : | Wireless Application, Fibre Optics, Microwave, IoT, Engineered Materials | |
| Name : | DR. SAFINA SHOKEEN |  |
| Designation : | Assistant Professor | |
| Qualification : | Ph.D(ECE) from Chandigarh University, M.Tech(ECE) and B.Tech(ECE) from MD University | |
| Area of Interest : | Wearable Textile Antenna, Wearable Body Area Network, Wireless Sensor Network, MIMO Antenna, Internet of Things | |
| Name : | Dr. Vishal Srivastava |  |
| Designation : | Assistant Professor | |
| Qualification : | Ph.D( University of Delhi, Delhi), M.Tech (DTU, Delhi), B.Tech (UPTU, Lucknow) | |
| Area of Interest : | Soft Computing Techniques, Meta-heuristucs Algorithms, Nonlinear Systems |