IcfaiTech faculty are involved in cutting edge research in the following areas:
Innovative Construction Materials
Infrastructure Engineering & Management
Data Science-Focus on Content-Based Image and Video Retrieval, Object Tracking in Video Sequence, Mammogram Analysis and Interpretation, Neural Networks and Artificial Intelligence.
Deep Learning and Image Processing (CNN, RNN)
Internet of Things and Wireless Sensor Networks.
Computer Networks, Cyber Security and Social Media Analytics.
Block Chain Technology
Augmented and Virtual Reality
Image Processing and Pattern Recognition
IoT and Wireless Communication Networks
Power System and Control System
Fixed Point Theory
Markov / Non-Markovian Analysis, and Stochastic Modeling, Computational Fluid Dynamics.
Mathematical Modelling, Mathematical Physics.
- Manufacturing of prototypes for mechanical engineering domain, fabrication of pre-planning surgical models for medical community (Orthopedic and Dental implants, Surgical planning, Drug delivery system etc) and develop Architecture models for civil and architectural engineering domains.
- CAD Design models for manufacturing of Nano and micro machining components for aerospace applications using composite materials, Advance High Strength Steels etc.
- Simulation and Analysis of Vapour compression refrigeration system, Heat transfer analysis through HVAC nozzles, turbulence flow and modelling, solid cryogenic green propulsion system (IPRC 014) etc.
- Modeling, simulation, analysis and design of a controller for a robotic manipulator having five degree of freedom for lunar mission (VSSC), Use of Artificial Intelligence (AI) / Expert Systems (ES) / Machine Learning (ML) in Mission operations, Development of end effectors for spacecraft berthing and sample retrieval etc.
Autonomous land and water vehicles, Intelligent control of dynamic systems, Robot Dynamic modelling and control, Automated robotic CAPP (Computer Aided Process Planning).
Laser matter interaction (Experimental):
Imaging of laser induced shock waves from materials, time and spatially resolved spectral studies, laser ablation propulsion, filamentation, acoustic and radio frequency detection of shock waves.
Applied Machine learning for fundamental science problems.
Computational and experimental studies of driven granular materials.
Experimental studies of collisional properties of grains of various shapes and materials.