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Overview
Where Theory Turns Into Practice
The KMCT Directorate of Research provides a well-equipped research environment designed to support innovation, interdisciplinary collaboration, and high-quality scientific investigation. Modern laboratories, advanced instrumentation, and dedicated research facilities enable faculty members, research scholars, and students to undertake cutting-edge research across engineering, health sciences, management, applied sciences, and allied disciplines.Every laboratory on campus is maintained to industry and safety standards, staffed by trained lab technicians, and scheduled for both curriculum-based sessions and independent student project work.
Safety Certified
Fire, chemical and electrical safety audits conducted every semester across all facilities.
Industry-Grade Equipment
Instruments and software aligned with current industry tools and standards.
Extended Access Hours
Most labs remain open beyond class hours for registered project and research work.
Technical Support
Dedicated lab in-charges and technicians available for guidance during sessions.
Complete Lab Catalogue
A full breakdown of every lab, its equipment inventory, capacity and usage guidelines — in one downloadable PDF.
Browse labs by department. Click a lab card to view details, then register for access.
Computer Science & IT
Electronics & Communication
Mechanical & Robotics
Applied Sciences
No labs added yet.
Civil & Structural Engineering
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Electrical & Power Systems
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Chemical Engineering
No labs added yet.
Biotechnology & Life Sciences
No labs added yet.
Physics & Materials Science
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Mathematics & Data Science
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Design & Innovation
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Computer Science & IT
AI & Machine Learning lab
Artificial Intelligence and Machine Learning (AI & ML) is an interdisciplinary field that focuses on creating intelligent systems capable of learning, reasoning, and making data-driven decisions. Through advanced algorithms, data analysis, and predictive modeling, AI and ML enable computers to solve complex problems, automate processes, and deliver innovative solutions in areas such as healthcare, robotics, cybersecurity, finance, and smart technologies. GPU-backed workstations for building, training and testing machine learning and deep learning models, from classic algorithms to computer vision and NLP projects.
The lab supports final-year projects, research assistantships and short courses in applied AI. Students work through the full pipeline, from data cleaning and feature engineering to training, validation and deployment of models on shared GPU compute, with weekly slots reserved for supervised research work.
The Cybersecurity Lab is a specialized facility designed to provide students with practical knowledge and hands-on experience in protecting computer systems, networks, and digital information from cyber threats. The lab enables learners to explore cybersecurity concepts, identify vulnerabilities, analyze attacks, and implement security measures in a controlled and ethical environment. Through real-world simulations and advanced security tools, students develop the skills required to safeguard digital assets and respond effectively to evolving cyber risks.
An isolated network sandbox where students practise ethical hacking, penetration testing and digital forensics without touching the campus network.
All exercises run inside an air-gapped virtual range, so students can safely simulate attacks, malware behaviour and incident response drills. The lab2 is used for coursework, capture-the-flag events and preparation for industry certifications such as CEH and Security+.
The Networking Lab is a state-of-the-art facility that provides students with practical exposure to computer networking concepts, network design, configuration, and management. Equipped with modern networking devices and simulation tools, the lab enables learners to build, configure, troubleshoot, and secure wired and wireless networks in a real-world environment.
Hands-on lab for designing, configuring and troubleshooting enterprise networks using real routers, switches and structured cabling racks.
Students build and break real topologies rather than only simulating them, covering routing protocols, VLAN segmentation, wireless controllers and structured cabling standards used in commercial deployments. The lab2 also hosts CCNA-aligned practical assessments.
The Software Engineering Lab is a dedicated facility that provides students with hands-on experience in software design, development, testing, and maintenance using industry-standard tools and methodologies. The lab enables learners to apply software engineering principles throughout the software development life cycle (SDLC), from requirements analysis and system design to implementation, testing, deployment, and maintenance.
A collab2orative studio for full-stack project work, version control practice and agile sprints, mirroring a real product development team.
The space is organised around sprint cycles rather than fixed seating, with a shared kanban wall, code-review stations and a small staging server so student teams can deploy and demo working software end to end.
Equipment specifications
Equipment specifications for Software Engineering lab2
The VLSI Design Lab is a specialized facility that provides students with practical training in the design, simulation, verification, and implementation of Very Large Scale Integration (VLSI) circuits. Equipped with industry-standard Electronic Design Automation (EDA) tools, the lab enables learners to design digital and analog integrated circuits, analyze their performance, and optimize them for speed, power, and area.
Chip-design lab equipped with industry-standard EDA tools for schematic capture, simulation and layout of digital and analog circuits.
Students take a design from RTL through synthesis, place-and-route and timing closure, then verify it on FPGA hardware before tape-out style review. The lab2 supports coursework in digital design as well as research in low-power and mixed-signal design.
Workbenches for programming microcontrollers and building embedded prototypes, from sensor interfacing to real-time firmware.
Each bench is a self-contained station for firmware development, from bring-up and debugging to sensor integration and low-power design, with instructor sign-off checkpoints built into the term project timeline.
Equipment specifications
Equipment specifications for Embedded Systems lab2
