Back close
Admissions

Doctoral Research Areas

Available Research Projects

Showing 165 projects

CBEAEE002 Aerospace Engineering
Coimbatore
Autonomous Systems and Intelligent Control This research aims to develop a machine learning-based guidance and fault-tolerant control framework for autonomous unmanned systems. The study focuses on intelligent fault diagnosis, adaptive guidance, and robust control strategies using multi-sensor data. The proposed framework will improve system reliability, safety, and autonomous operation under uncertainties, disturbances, and component failures.
Dr. Jinraj V. Pushpangathan
View & Apply
CBEAEE001 Aerospace Engineering
Coimbatore
multidisciplinary design optimization Evolving quicker and cheaper design optimization framework for design of aircraft, at different levels. Involves Probability/statistics, mechanics and optimization
Dr. S. Krishna Kumar
View & Apply
CBEAIE018 Artificial Intelligence
Coimbatore
Physics of Intelligent Machines This project investigates the principles of swarm intelligence in living systems, exploring how simple interactions among individuals give rise to collective decision-making, adaptation, and resilient behavior. Inspired by bird flocks, fish schools, and biological swarms, the project aims to uncover the mechanisms underlying emergent natural intelligence without centralized control.
Dr. Suman Dutta
View & Apply
CBEAIE017 Artificial Intelligence
Coimbatore
Multimodal AI for Audio, Speech, Vision, Biomedical & IoT Systems Research interests include Artificial Intelligence, deep learning, multimodal learning, audio and speech processing, computer vision, biomedical signal processing, IoT, and embedded intelligence. The focus is on developing innovative, explainable, and human-centric AI solutions for healthcare and intelligent real-world applications.
Dr. Lekshmi C. R.
View & Apply
CBEAIE016 Artificial Intelligence
Coimbatore
healthcare and explainability Computational intelligence methods are employed to analyze biomedical signals, medical images, and multimodal healthcare data for developing trustworthy and interpretable healthcare technologies. Research focuses on explainable AI, brain-computer interfaces, physiological signal analysis, multimodal learning, and intelligent decision-support systems for clinically relevant applications.
Dr. Amrutha Veluppal
View & Apply
CBEAIE015 Artificial Intelligence
Coimbatore
Sustainable high-performance hybrid composite The proposed research is aimed at developing a sustainable, high-performance hybrid composite reinforced with granite nanoparticles, specifically tailored for defence and aerospace applications
Dr. K. Sripriyan
View & Apply
CBEAIE014 Artificial Intelligence
Coimbatore
Hybrid Joining Techniques The project will deliver an optimized progressive notch-based dissimilar weld joint design with reduced stress concentration and residual stress through AI-based optimization of notch geometry and welding parameters.
Dr. K. Sripriyan
View & Apply
CBECSE029 Computer Science Engineering
Coimbatore
AI Security and Trustworthy AI, Evolutionary Computing, Distributed Intelligent Systems, Adversarial Machine Learning, Federated Learning, Cyber Security The proposed research seeks to strengthen the security and resilience of federated learning systems against data poisoning attacks. Through the use of evolutionary algorithms to model diverse adversarial behaviors, the work aims to develop robust defense strategies that improve model integrity, trustworthiness, and privacy preservation in distributed AI ecosystems.
Dr. Ritwik Murali
View & Apply
CBECSE028 Computer Science Engineering
Coimbatore
Computer Vision and Intelligent Surveillance This research explores multimodal AI approaches that combine visual and audio data for anomaly detection. By incorporating explainability into advanced deep learning models, the study seeks to enhance transparency, reliability, and decision-making in intelligent surveillance and monitoring systems operating in complex environments.
Dr. R. Manjusha
View & Apply
CBECSE027 Computer Science Engineering
Coimbatore
Computational Intelligence for Health and Environmental Systems Adaptive Intelligence Research focuses on the development of advanced computational intelligence methodologies to address complex challenges in human health, environmental sustainability, and smart systems. The research integrates Machine Learning, Artificial Intelligence, Time Series Analytics, Optimization, Prescriptive Analytics, and Generative AI to build intelligent systems capable of learning, adapting, and making informed decisions in dynamic and uncertain environments. A key objective is to bridge predictive intelligence with actionable decision support, enabling systems not only to forecast future outcomes but also to recommend optimal strategies for achieving desired goals.
Dr. Deepika T.
View & Apply
CBECSE026 Computer Science Engineering
Coimbatore
Predictive Analytics, Precision Agriculture Design and implementation of an AI-driven predictive analytics framework that leverages multi-source agricultural and climatic data to forecast crop-specific climate risks. The system will enable early risk detection, informed decision-making, and targeted interventions to maximize yield and reduce crop losses.
Dr.Shanmuga Priya S.
View & Apply
CBECSE025 Computer Science Engineering
Coimbatore
Remote Sensing Research focuses on Machine Learning, Deep Learning, and AI for Multi-Modal and Spatio-Temporal Data Analysis, integrating Explainable AI, Computer Vision, and Forecasting across diverse real-world applications
Dr. Jayakrishnan A.
View & Apply
CBECVL006 Civil Engineering
Coimbatore
Sustainable Materials in Geotechnical Applications 1. Geotechnical Earthquake Engineering & Disaster Resilience: Research focuses on the seismic performance of geotechnical systems under extreme loading conditions. It involves evaluating the stability of slopes and retaining structures through analytical, numerical, and experimental approaches to develop resilient and innovative design methodologies for infrastructure in disaster-prone regions. 2. Sustainable Ground Improvement & Soil Stabilization: Research addresses the improvement of soft and weak soils using sustainable mechanical and chemical stabilization techniques. It emphasizes eco-friendly materials to enhance soil performance and develop efficient, durable, and sustainable ground improvement solutions for challenging geotechnical conditions.
Dr. Kishore M. S.
View & Apply
CBECSE024 Computer Science Engineering
Coimbatore
Intelligent Decision Support Systems The proposed framework can assist healthcare organizations, environmental monitoring agencies, and government authorities in outbreak prediction, pollution management, resource allocation, and policy formulation by providing accurate spatial-temporal insights and data-driven forecasting capabilities.
Dr. Vandhana S.
View & Apply
CBECSE023 Computer Science Engineering
Coimbatore
Edge AI and IoT for Smart Healthcare Systems Development of an IoT and embedded system-based healthcare monitoring platform for real-time physiological signal monitoring and edge-level analysis using lightweight AI techniques, wireless communication, and low-power hardware. The research focuses on remote healthcare, anomaly detection, and continuous patient monitoring applications.
Dr. Vishnu S.
View & Apply
CBECSE022 Computer Science Engineering
Coimbatore
Artificial Intelligence and Computer Vision for Intelligent Surveillance Systems Research focused on developing robust Person Re-Identification systems for intelligent surveillance applications. The project aims to improve identity matching across multiple cameras under real-world variations such as accessory changes, occlusion, and viewpoint differences using deep learning and attention-based methods.
Dr. Divya Singh
View & Apply
Admissions Apply Now