The Department of Computer Engineering at NUTECH proposes a PhD program in Computer Engineering to drive cutting-edge research and innovation in the rapidly evolving world of technology. As industries embrace AI, IoT, robotics, Embedded systems and high-performance computing, the demand for visionary researchers and problem-solvers continues to grow.
This program will empower scholars to push the boundaries of knowledge in fields such as applied Artificial Intelligence and Machine Learning, Computer Vision, Robotic and Automation, Natural Language Processing, Embedded Systems, Digital Twins, and Renewable Energy & Green Computing. Through applied research, interdisciplinary collaboration, and industry engagement, graduates will pioneer solutions that shape the future of computing.
The educational objectives of PhD CEN program are stated as below:
The learning outcomes of PhD CEN program are stated as below:
The minimum duration for completion of PhD CEN degree is 3 years and maximum duration is 8 years.
The proposed study Scheme for PhD CEN program at NUTECH is given below.
Semester I Courses |
Cr Hrs |
Course-I |
3 |
Course-II |
3 |
Course-II |
3 |
Total |
9 |
|
|
Semester II Courses |
Cr Hrs |
Course- IV |
3 |
Course-V |
3 |
Course-VI |
3 |
Total |
9 |
Semester III Courses (Onwards) |
Cr Hrs |
Thesis |
36 |
Total Credit Hours: 54
S. No. |
Course Code |
Course Title |
Credit Hours |
1 |
|
Advanced Computer Architecture |
3 |
2 |
|
Advanced Software Engineering |
3 |
3 |
|
Advanced Computer Network |
3 |
4 |
|
Advanced Embedded Systems Design |
3 |
5 |
|
Advanced Database Management Systems |
3 |
6 |
|
Advanced Algorithms Analysis & Design |
3 |
7 |
|
Advanced Computer Networks |
3 |
8 |
|
Advanced Microprocessor Systems |
3 |
9 |
|
ASIC and FPGA Design |
3 |
10 |
|
Artificial Intelligence |
3 |
11 |
|
VLSI Principles and Applications |
3 |
12 |
|
Machine Learning |
3 |
13 |
|
Hardware Architectures for Machine Learning |
3 |
14 |
|
Machine Learning for Embedded Systems |
3 |
15 |
|
Deep Learning |
|
16 |
|
TinyML and Efficient Deep Learning Computing |
3 |
17 |
|
Data Science |
3 |
18 |
|
Data Mining |
|
19 |
|
Big Data Analytics |
3 |
20 |
|
Modeling and Simulation |
3 |
21 |
|
Web Technologies |
3 |
22 |
|
Human Computer Interface |
3 |
23 |
|
Advance digital image processing |
3 |
24 |
|
Computer Vision |
3 |
25 |
|
Robotics |
3 |
26 |
|
Advanced Control Systems |
3 |
27 |
|
Intelligent Control Systems |
3 |
28 |
|
Industrial Automation and Control |
3 |
29 |
|
Virtual reality |
3 |
30 |
|
3 |
|
31 |
|
Cyber Physical Systems |
3 |
32 |
|
Fault Diagnosis |
3 |
33 |
|
Internet of Things |
3 |
34 |
|
Distributed System |
3 |
35 |
|
Parallel Processing |
3 |
36 |
|
Wireless Sensor Networks |
3 |
37 |
|
Wireless and Digital Communications |
3 |
38 |
|
Cloud Computing |
3 |
39 |
|
Nanotechnology |
3 |
40 |
|
Advanced Topics in Computer Engineering |
3 |
41 |
|
Case Studies and Projects |
3 |
The program will emphasize the following research domains: