Advancing Research Through Industry Collaborations

Leveraging LLMs to automate the conversion of legacy IEC 61131-3 PLC codebases to the modern IEC 61499 distributed automation standard.

Utilizing modern AI tools, API integrations, browser control tooling, and scrapers to build an all-in-one Qualimetry tool that generates statistics for various codebases.

Utilizing modern AI tooling, web querying in an isolated environment, and a sophisticated shared knowledge database to design a threat testing recommendation engine for a cybersecurity team.

An agent-driven testbed that spawns isolated QEMU virtual machines, Docker environments, or Linux containers to test application behavior, observe lifecycle changes, and map the resulting security threat surface.

A cybersecurity analysis system that correlates CVE records, CWE weakness classes, MITRE ATT&CK techniques, and contextual evidence to connect vulnerabilities with likely attack paths and defensive priorities.

A computer-vision research project for analysing red blood cell morphology from microscopy images and correlating measurable cell-shape characteristics with pathological findings.

Utilizing modern AI tools like LLMs, VLMs, and OCR to develop a system for querying specific data from documents via an LLM chatbot.

An IoT-based system for smart aquaculture monitoring and management, funded by DST, Government of India.

Design and development of a sensor-based insole for early detection of abnormal plantar pressure in diabetic patients to predict and prevent foot ulceration.

Developing event-driven programming solutions for industrial automation and IoT, focusing on intelligent technologies.

Development of an algorithm to determine the State of Health (SoH) & Remaining Useful Life (RUL) of a battery for energy management.

This project focused on exploratory research in agile AI model development, specifically using cascaded super learning techniques.

Research on generalized anomaly detection and predictive analytics.

Development and deployment of a predictive analytics Vehicular Ad-hoc Network (VANET) application on IBM Bluemix Cloud.

Application of deep learning and data analytic tools and techniques in Digital Control and Excitation Systems (DCES).

Development and deployment of cloud-enabled applications for drones using the IBM Bluemix Cloud platform.

Analysis of ribbonization defects in optical fiber cables and methods for improving copper line productivity for RJ-45 cables.

A scheme to provide seed support for innovation, funded by NSTEDB, DST, Govt. of India.

An innovation and incubation program funded by TDB, DST, Govt. of India.

An innovation and incubation program funded by NSTEDB, DST, Govt. of India.

Research project on 3D motion planning for robotics, funded by AICTE.