
Advancing discovery, innovation, and applied research across disciplines.
Mahindra University hosts a growing network of research laboratories that support fundamental inquiry, applied research, and technology development across engineering, sciences, computing, and interdisciplinary domains. These laboratories provide faculty and students with access to advanced infrastructure, specialised testbeds, and experimental platforms that enable rigorous research, industry collaboration, and real-world problem solving.
Supporting both discipline-specific inquiry and collaborative research across academic domains.
Enabling undergraduate, postgraduate, and doctoral students to undertake guided research and thesis work.
Facilitating industry- and government-funded projects that address applied and strategic research challenges.
Providing facilities for experimentation, prototyping, and system-level testing of research outcomes.
The supercomputer lab supports high-intensity computational research in artificial intelligence, machine learning, deep learning, and data science.
The core infrastructure includes the Nvidia DGX-1 supercomputer platform powered by a dual-core CPU server with 20 processors and eight Tesla V100 GPU cards comprising 40,960 Nvidia CUDA cores connected through NVLink for high-speed communication.
The platform runs a comprehensive AI software stack that includes:
The laboratory also hosts a Dassault Systèmes 3DEXPERIENCE platform that integrates tools such as CATIA and DELMIA, enabling immersive augmented and virtual reality simulations for design and engineering research.
Additional infrastructure includes 30 high-performance workstations connected to a central server, enabling collaborative computational design and simulation.
The robotics lab supports teaching, research, and innovation in industrial robotics, autonomous systems, and intelligent machines.
The lab enables students and researchers to work on real-world robotics problems and develop industry-relevant solutions.
One notable product developed in the lab is MUDRA – an autonomous UV surface disinfectant robot.







This lab focuses on research related to next-generation mobile networks and emerging wireless communication technologies.
Research areas include:




This laboratory supports experimental research in fluid dynamics, heat transfer mechanisms, and thermal system design. It enables investigations into flow behaviour, thermal performance, and energy systems relevant to mechanical and energy engineering applications.





The tribology and materials research laboratory houses advanced equipment to study mechanical behaviour, wear, and structural properties of metallic and ceramic materials.
Typical activities include:





ThThe controls research lab supports experimental studies in structural and civil engineering testing.
Key equipment includes:
The lab supports advanced testing of concrete beams and structural materials, including evaluation of Young’s modulus and crack mouth opening displacement.






This lab supports experimental and computational research in soil mechanics, pavement engineering, and foundation behaviour.
Key facilities include:
These systems enable researchers to analyse pavement performance, soil behaviour, and structural responses under load.






The high performance computing cluster supports large-scale simulations and computational research.

This lab supports research in energy systems, power electronics, and smart grid technologies, enabling experimentation with renewable energy integration, grid monitoring, and energy efficiency systems.
















The autoThe automotive systems laboratory enables hands-on learning and research in vehicle systems, powertrain engineering, and automotive mechanics.
These systems allow visualisation of drivetrain components and their operational behaviour.



The centre for sustainable infrastructure and systems focuses on research in sustainable infrastructure, structural health monitoring, and resilient structural systems.
The centre works towards sustainable development through a three-dimensional mission focused on environment, economy, and societal safety.







The chemistry research lab supports advanced material characterisation and chemical research.








This lab supports advanced research in materials science and thin film technologies.
These systems enable thin-film deposition and detailed molecular analysis.









The electric vehicle research laboratory supports research and prototyping related to electric mobility.








The X-ray diffraction research facility enables researchers to analyse crystalline structures, material composition, and phase identification for advanced materials research.
The finance research lab at the school of management supports research in financial markets, investment strategies, and economic analysis.
These tools enable advanced financial modelling and market analysis.


This lab focuses on developing sustainable construction materials using eco-friendly and waste materials.
Major equipment includes rheometers, carbonation chambers, oscilloscopes, waveform generators, LCR meters, and digital multimeters.



















This lab focuses on monitoring and addressing environmental pollution through scientific analysis and remediation strategies.
Air quality
Water and soil analysis
Noise and light monitoring
Additional equipment
ArcGIS for geospatial environmental analysis
















Research laboratories are primarily accessible to faculty members, research scholars, and enrolled students working on approved academic, research, or sponsored projects. Access is governed by laboratory policies and supervision requirements.
Yes. Undergraduate students may participate in research laboratory work through course projects, internships, thesis projects, and faculty-led research initiatives, subject to eligibility and project relevance.
Yes. The research laboratories support industry- and government-funded research projects, as well as collaborative initiatives with academic and research institutions.
The laboratories are equipped with specialised testbeds, experimental platforms, and research tools that support algorithm development, system-level experimentation, and applied research across disciplines.
Research labs are closely linked with academic programmes, enabling students to apply theoretical learning through experimentation, project work, and thesis research under faculty guidance.