Bachelor of Technology in Mechanical Engineering

A wearable antenna has to work while pressed against a human body that absorbs radio energy, moves constantly and deforms the fabric it is built into. Every one of those conditions changes its behaviour, and it must satisfy safety limits before it is worn at all.

Simulating an antenna is cheap. Fabricating one is not. That asymmetry is why antenna engineering happens in software first, and why the modelling discipline matters: a parameterised model can be optimised automatically, while a hard-coded one has to be rebuilt by hand for every change.

Almost every UV-Vis guide assumes a clear liquid in a cuvette. Most materials research does not produce clear liquids. Measuring powders, pellets and thin films needs a different mode, different hardware and a different set of precautions, and getting them wrong quietly corrupts the data.

Most radio frequency vocabulary describes one underlying problem: signal that should have radiated came back instead. Impedance matching, reflection, standing waves, return loss and VSWR are all different views of that single failure. Understood in sequence, they stop being a glossary.

A photocatalyst that only works under ultraviolet light ignores most of the sunlight falling on it. One that works but cannot be recovered from the water becomes a pollutant itself. Research presented at Parul University tackled both problems, with results measured rather than asserted.

In a material one atom thick, every atom is a surface atom. That single fact is why two-dimensional materials can detect pollutants at concentrations conventional sensors miss entirely. A review from Parul University’s Micro-Nano Research and Development Center maps where the field has reached.

As AI systems move from answering questions to taking actions, they become software that can be attacked. Prompt injection, now ranked the number-one risk to AI applications, is the central threat, and agentic AI and the Model Context Protocol expand the attack surface. Here is what it means, and how to defend against it.

During a B.Tech course, students slowly move from simple lab models to working machines, software, structures and final-year projects.

Complete engineering solutions are built when coding controls the system, electronics connect its parts, and mechanical design gives it a useful physical form.

Learn how mechanical and production engineers use digital twins to optimize machines, improve productivity, and drive innovation in modern factories.

Parul University’s Lakshya 2047 Centre operates through industry-experienced trainers delivering supervised hands-on training across 18 labs, with cross-department student teams collaborating on real projects including the student-built URI Bird Surveillance Drone.

Parent’s framework for evaluating Parul University: ASSOCHAM Best in Placements three consecutive years, 2,200+ recruiters, Lakshya 2047 industry credentials, PIERC entrepreneurship pipeline, integrated 250-acre campus, verified placements including Microsoft 60 LPA and Indian Navy.

Parul University’s Lakshya 2047 Centre differs structurally from IIT and NIT centres through cross-faculty lab access, 25+ industry credentials, and PIERC entrepreneurship integration. Different models serve different student trajectories rather than competing for the same workforce profile.

Parul University’s Lakshya 2047 Centre houses two ABB machines: the ABB IRB 2600 industrial robot for heavy-duty manufacturing and the ABB IRB 1090 Co-Bot Education Model released September 2023 with five multi-station setups, Robotics Studio, teach pendant, and AI Vision.