The Ph.D. in Computer Science and Engineering program is a premier research-intensive program designed to produce scholars who can contribute original knowledge to the field of computing. The program emphasizes independent research, innovation, and academic excellence.
Students work closely with faculty advisors to conduct cutting-edge research in specialized areas of computer science, leading to significant contributions to the discipline through publications, patents, and technological innovations.
- Rigorous research training under expert faculty supervision
- Interdisciplinary research opportunities
- Collaborations with industry and research organizations
- Access to state-of-the-art research facilities
- Opportunities for international research collaborations
- Teaching and mentoring experience
Duration: Minimum 3 Years (Full-time), 4 Years (Part-time)
Eligibility: M.E./M.Tech in CSE/IT or related field with minimum 60% marks (or equivalent CGPA)
Admission Process: Entrance Test followed by Interview
Program Fee: As per University Regulations
THE VISION
"To be a globally recognized center for advanced research in computer science, fostering innovation and producing scholars who push the boundaries of computing knowledge and its applications for societal benefit."
THE MISSION
- To cultivate a vibrant research environment that encourages original thinking and innovation in computer science.
- To mentor doctoral candidates in conducting high-impact research that advances the frontiers of computing.
- To foster interdisciplinary collaborations that address complex technological challenges.
- To develop academic leaders who can contribute to both theoretical and applied aspects of computer science.
- To promote ethical research practices and socially responsible computing solutions.
The Ph.D. program in Computer Science and Engineering offers opportunities for advanced research in both fundamental and applied aspects of computing. Our faculty members are actively engaged in cutting-edge research across diverse specializations.
Key Research Areas:
- Artificial Intelligence & Machine Learning: Deep learning, neural networks, reinforcement learning, computer vision, NLP
- Data Science & Big Data Analytics: Data mining, predictive modeling, large-scale data processing
- Cybersecurity & Privacy: Cryptography, network security, blockchain, cyber-physical systems security
- Distributed Systems & Cloud Computing: Edge computing, fog computing, serverless architectures
- Theoretical Computer Science: Algorithms, complexity theory, quantum computing
- Human-Computer Interaction: AR/VR, wearable computing, ubiquitous computing
- Software Engineering: Formal methods, software verification, DevOps, software architecture
- Internet of Things: Sensor networks, smart systems, IoT security
Students are encouraged to develop their own research proposals in consultation with faculty advisors.
Dedicated Research Facilities:
- HIGH PERFORMANCE COMPUTING CLUSTER
- AI RESEARCH LAB
- CYBERSECURITY RESEARCH CENTER
- DATA SCIENCE RESEARCH LAB
- QUANTUM COMPUTING RESEARCH FACILITY
Specialized Equipment:
- GPU-accelerated computing servers
- IoT testbeds and sensor networks
- Secure computing environments
- High-speed networking infrastructure
- Virtual and augmented reality systems
- Specialized software tools for research
Research scholars have 24/7 access to these facilities to support their doctoral work.