IIIT Kottayam PhD Admission 2026 (Aug)

The major areas of research are as follows:

• Computer Science and Engineering
  • Artificial Intelligence, Machine Learning, Deep Learning, Explainable Artificial Intelligence (XAI), Agentic AI, Vision Language Models, Edge AI, Optimization in Artificial Intelligence, v, Explainable Artificial Intelligence (XAI), Agentic AI, Vision Language Models, Edge AI, AI for Social Good, Optimization in Machine Learning and Deep Learning, Evolutionary Algorithms, Machine Intelligence, Data Analytics, Data Science, Graph Machine Learning, Graph Representation Learning; Natural Language Processing & Speech Technologies: Natural Language Processing (NLP), Speech Processing, Language Models (LLM), NLP for Healthcare, NLP applications in Ayurveda; Computer Vision & Image/Video Processing, Medical Image Processing, Remote Sensing Image Classification and Segmentation, Geospatial Analysis, Explainable AI for Vision Systems; Biomedical Systems & Healthcare AI: Biomedical Systems, AI in Healthcare, Health Informatics, Medical Imaging, Brain Network Analysis, Bioinformatics, AI for Disease Detection, Quantum Computing, Quantum Artificial Intelligence, Quantum Machine Learning, Cloud Edge Continuum, Network Analytics, AI for Social Good, Responsible Computing, Remote Sensing Image Classification/Segmentation, Geospatial Analysis, Distributed Computing, Cloud Computing, Fog computing, Energy forecasting and Scheduling in EV Charging, Resource Optimization in EV, Software defined networks and security, UAVs in Agriculture, Surveillance and Smart Cities, Security and privacy, Edge computing and intelligence, IoT, Biometric Security Quantum Technologies Post-Quantum Cryptography, Quantum Sensors, Graph Neural Networks, Federated Learning, Climate Networks, Human Computer Interaction, E-learning, Theoretical Computer Science, Algorithms and Graph Theory, Cloud Edge Continuum, Network Science, Network Representation Learning, Robustness of complex networks, Vision, Remote Sensing Image Classification/Segmentation, , Explainable AI (XAI), Energy forecasting and Scheduling in EV Charging, Resource Optimisation in EV, Advanced Databases, Mobile adhoc networks(MANETs), Vehicular adhoc networks VANETS
• Computer Science and Engineering (CSE): Cyber Security
  • Cyber Security, Digital Forensics, Information Security, Network Security, Data Security, Applied Cryptography, Post-Quantum Cryptography, Hardware Security, Adversarial Machine Learning, Multimedia Forensics, Digital Forensics and Crime Investigation, Mobile Application Forensics, Malware Analysis, OSINT (Open Source Intelligence), Financial Crime Analytics, Offensive Security Frameworks; Privacy, Trust & Responsible Computing: Privacy Preserving Machine Learning, Federated Learning, Blockchain Applications, Quantum Computing, Quantum Artificial Intelligence, Quantum Machine Learning, Post-Quantum Cryptography, Quantum Sensors, ,ML for systems and IOT, Forensics&Malware, AI and AI agents for offensive security, Mobile adhoc networks(MANETs), Vehicular adhoc networks VANETS, Graph – Based Forensics, Financial Crime, Open-Source Intelligence, Internet of Things privacy and security, Biometric security, Biometric security, Machine learning in cyber security, FPGA design, Hardware security, Cryptography, Privacy preserving, Healthcare, ,AI/ML/DP based cyber security, Nework security and Distributed/Cloud/edge computing security
• Electronics and Communication Engineering
  • Internet of Things (IoT), Wireless Sensor Networks, Embedded Systems, Edge Computing / Edge Intelligence, FPGA Design, VLSI Design, Electronic Instrumentation, Smart Nanotechnology; Wireless Communications & Networking: Wireless Communication, Signal Processing for Communications, Beyond 5G and 6G Wireless Technologies, RF / Microwave / Antenna Design, MIMO Systems, Optical Wireless Communication, Free Space Optics, Visible Light Communication; Network Technologies: Mobile Adhoc Networks (MANETs), Vehicular Adhoc Networks (VANETs), Vehicular Communications, Software Defined Networks, Network Analytics, Cloud–Edge Continuum; Physics, Photonics & Optics: Optoelectronics, Lasers, Spectroscopy, Ocean Optics, Quantum Sensors; Fluid Mechanics & Physical Systems: Fluid Mechanics; Biofluid Mechanics, Machine Learning in Fluid Mechanics, Energy Systems & Smart Infrastructure: Energy Forecasting, EV Charging Scheduling, Resource Optimization in Electric Vehicles; Fluid Mechanics & Physical Systems: Fluid Mechanics, Biofluid Mechanics, Machine Learning in Fluid Mechanics; Energy Systems & Smart Infrastructure: Energy Forecasting, EV Charging Scheduling, Resource Optimization in Electric Vehicles; UAV & Smart City Applications: UAVs in Agriculture, UAVs for Surveillance, Smart City Technologies, Computer Vision for UAV Systems, Waveform Design, Biomedical systems, Vibration Energy Harvesting, Acoustic Source Localization using AI/ML, Signal Processing, VLSI, Speech Processing, Image Processing, Machine Learning, Deep Learning.
• Computational Mathematics
  • Mathematical Modelling, Computational Mathematics, Optimization, Fractional Calculus, Dynamical Systems, Nonlinear Partial Differential Equations, Graph Theory, Network Science/Analysis, Graph Algorithms, Uncertainty Quantification Mathematical and Computational Finance, Partial Differential Equations, and Mathematical Modelling in Sports Analytics, Fuzzy mathematics, Graph Embedding, Optimization in Machine Learning and Deep Learning, Evolutionary Algorithms, Physics-Informed and Graph Neural Networks, Spatio-Temporal Climate Modelling, Uncertainty Quantification, Data Science, Quantum Computing, Post Quantum Cryptography

• Rs.1000/- for general/OBC
• Rs.500/- for SC/ST/PWD/Female candidates