DOCTORAL PROGRAMME
The research at SR University brings together academic and industrial talents from across a range of cutting-edge technologies. Our culture of innovation, strong industrial partnership, and international research collaborations with reputed universities will help you achieve your research ambitions. Our research focuses on the application-based areas that solve local, national, and global importance problems. The research is carried out under various centers with state-of-the-art laboratories equipped with advanced industrial graded computing facilities backed by the latest simulation software and guided by qualified and experienced academia from top national and international institutes.
The Ph.D. program offers advanced research opportunities in emerging areas of computer science and technology. It prepares candidates to contribute original research, solve complex real-world problems, and build leadership in academia, research, and industry.The curriculum is structured to combine theoretical depth, technical expertise, and professional development, ensuring holistic growth throughout the research journey.
Research Areas:
Offered research areas includes:
Artificial Intelligence
Cloud Computing
IoT
Data Analytics
Data Mining
Image Processing
Software Engineering
Statistics
Parallel Processing
Mobile Computing
Network and Network Security
Mathematics
Artificial Intelligence & Machine Learning: Deep learning, reinforcement learning, natural language processing, generative models, AI ethics, and explainable AI.
Cybersecurity & Privacy: Cryptography, secure systems, ethical hacking, cyber forensics, and privacy-preserving technologies.
Data Science & Analytics: Big data, predictive modeling, data mining, statistical learning, and business intelligence.
Cloud Computing & IoT: Distributed systems, edge computing, cloud architecture, IoT frameworks, and smart environments.
Software Engineering & Systems: Agile development, software testing, DevOps, system architecture, and formal methods.
Computer Vision & Image Processing: Object detection, image segmentation, medical imaging, and visual intelligence.
Human-Computer Interaction & AR/VR: UX design, immersive technologies, interaction modeling, and cognitive computing.
Mathematics: advanced topics such as algebra, analysis, topology, number theory, and geometry, while also addressing real-world challenges through applied mathematics, mathematical modeling, optimization, and computational techniques.
Statistics: applying statistical theory and methods for data analysis, including areas like probability theory, statistical inference, multivariate analysis, time series, Bayesian methods, and interdisciplinary applications in health, finance, environment, and machine learning.
Mentorship from experienced faculty with global research exposure.
Access to state-of-the-art labs including CAIML (Center for AI & ML).
Opportunities for national and international collaborations.
High-performance computing and simulation tools to support advanced research.
Interdisciplinary research culture with real-world applications and innovation focus.
Preparation for peer-reviewed publications, teaching experience, and grant writing based on candidate interest.
Guidance for successful thesis completion, defense, and career placement support.
A well-balanced Ph.D. degree from SRU is a pathway to a great future in academics, research, and industry leadership roles.
Faculty in Educational Institutions.
Scientists and Researchers in R&D Centers.
Leaders and Managers in Technology Divisions and Research Organizations.
SRU offers cutting-edge research opportunities in the fields of
Computer Science and Engineering.
Artificial Intelligence and Machine Learning.
Statistics.
Mathematics.
For eligibility criteria, admission details, and more, please visit: Click here
Research faculty with experience in real-time industrial applications
Magnificent laboratories and State -of-the-art-facilities
Advanced industrial graded computing amenities with the latest simulation softwares
National and International research collaborations with prestigious universities.
Mentoring from esteemed industry researchers
Skilled and knowledgeable academia from reputed national and international institutes having vigorous research ingenuity.
