The Ph.D. in Computer Science & Engineering is a research-intensive doctoral programme designed to cultivate advanced knowledge, critical thinking, and innovative problem-solving abilities in the field of computer science. It is ideal for students with a strong academic background in computer science or related disciplines, aiming to contribute to cutting-edge advancements in technology through independent research. The programme provides a comprehensive framework for developing expertise in both theoretical and applied aspects of computing, preparing scholars for roles in academia, industry, and research institutions.

The programme is structured to begin with coursework that equips students with advanced knowledge in specialized areas of computer science. Following this, students focus on independent research, working under the guidance of experienced faculty members, and exploring topics aligned with their specific interests. The culmination of the programme is a dissertation that presents original research findings contributing to the advancement of the field.

The key research areas within the Ph.D. in Computer Science & Engineering are designed to explore both foundational topics and emerging technologies. These include, but are not limited to:

• Artificial Intelligence (AI) and Machine Learning: Advanced topics in neural networks, reinforcement learning, deep learning, natural language processing, and AI in healthcare and autonomous systems.
• Data Science and Big Data Analytics: Research in data mining, predictive analytics, data visualization, large-scale data processing, and the application of big data in various industries.
• Cybersecurity: Investigation of cryptographic techniques, network security, privacy-preserving computing, blockchain, secure software engineering, and threat modeling.
• Cloud Computing and Distributed Systems: Research in cloud infrastructure, edge computing, cloud resource management, distributed algorithms, and system performance optimization.
• Computer Networks and Communication Systems: Topics in 5G networks, software-defined networking (SDN), wireless communication, IoT networks, and network protocols.
• Robotics and Automation: Studies in robotic systems, autonomous vehicles, human-robot interaction, swarm robotics, and AI-driven robotics for industrial automation.
• Human-Computer Interaction (HCI): Research on user experience design, virtual reality, augmented reality, and accessibility technologies.
• Blockchain and Cryptography: Advanced studies in consensus algorithms, blockchain applications beyond cryptocurrency, cryptographic protocols, and secure transaction systems.
• Embedded Systems and Internet of Things (IoT): Research in embedded system design, IoT protocols, and smart technologies for connected devices.