MAHE, Manipal · Endowment Chair

Advancing Research Through Industry Collaborations

Sponsored research with industry and government partners.

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Research and InnovationFig. 00 — Institution13.3525° N · 74.7924° E
21
Research projects
10+
Industry partners
50+
Student researchers

01About

Three research fronts

Led by Dr. Manohara Pai M.M. at MIT, MAHE.

Intelligent Technologies

01

AI, machine learning, and automation that learn and adapt.

Industry 4.0

02

Cyber-physical systems, IoT, and data-driven manufacturing.

Sustainability

03

Engineering for today that doesn't borrow from tomorrow.

02Research

Current Projects

Schneider Electric
Active

Digital Transformation of Industrial Automation

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

Industrial AutomationIEC 61131-3IEC 61499
MIT, MAHE
Active

Software Quality Analysis and Improvements

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.

AIMachine LearningCode Quality
MIT, MAHE
Active

Threat Testing Recommendation Engine

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.

AICybersecurityThreat Analysis
MIT, MAHE
Active

Agentic VM Security Testing

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.

Agentic AIVirtual MachinesQEMU
MIT, MAHE
Active

Cybersecurity Correlation Analysis

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.

CybersecurityCVECWE
MIT, MAHE
Active

RBC Morphology and Pathological Correlation

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

RBC MorphologyComputer VisionMedical Imaging

03Track record

Three decades of sponsored research

Fig. 01—21 sponsored projects since 1997

Active · 6Completed · 15

List all projects
ProjectPartnerPeriod
3D Motion Planning (Robotics)AICTEJan 1997 – Dec 2001
Innovation and Incubation Program (NSTEDB)NSTEDB · DSTJan 2010 – Dec 2018
Innovation and Incubation Program (TDB)TDB · DSTJan 2012 – Dec 2015
Seed Support Scheme for InnovationNSTEDB · DSTJan 2013 – Jun 2024
Ribbonization Defect Analysis & Copper Line Productivity ImprovementTE ConnectivityFeb 2014 – Jan 2016
Connected Cars Services and AppsIBMJul 2015 – Dec 2016
Cloud Enabled Application Development and Deployment for DronesIBMAug 2015 – Dec 2016
Sensor Based Insole For Early Detection of Diabetic Foot UlcerationBIRACJan 2016 – Dec 2018
Deep Learning and Data Analytic Tools and Techniques in DCES ApplicationSchneider ElectricJan 2018 – Oct 2020
Development and Deployment of Smart Aquaculture: An IoT enabled SystemDSTJan 2018 – Dec 2021
Generalized Anomaly Detection and Predictive AnalyticsSchneider ElectricJan 2022 – Dec 2023
SoH & RUL Estimation Model for Battery Energy ManagementSchneider ElectricNov 2023 – Mar 2024
Event Driven Programming for Industrial Automation and IOTSchneider ElectricJan 2024 – Apr 2024
Exploratory Research in Agile AI Model DevelopmentSchneider ElectricJan 2024 – May 2024
Document Query SystemMIT, MAHEJun 2024 – Jan 2025
Software Quality Analysis and ImprovementsMIT, MAHEJun 2024 – Present
Threat Testing Recommendation EngineMIT, MAHEJun 2024 – Present
Digital Transformation of Industrial AutomationSchneider ElectricJan 2025 – Present
Agentic VM Security TestingMITJul 2026 – Present
Cybersecurity Correlation AnalysisMITJul 2026 – Present
RBC Morphology and Pathological CorrelationMITJul 2026 – Present

04Archive

Completed Projects

MIT, MAHE
2024–2025

Document Query System

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

AIMachine LearningNatural Language Processing
DST, Govt. of India
2018–2021

Development and Deployment of Smart Aquaculture: An IoT enabled System

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

IoTAquacultureSmart Systems
BIRAC BIG Scheme 07, Govt. of India
2016–2018

Sensor Based Insole For Early Detection of Diabetic Foot Ulceration

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

Healthcare TechnologyDiabetesMedical Devices
Schneider Electric, BGRT, Bengaluru
2024–2024

Event Driven Programming for Industrial Automation and IOT (Intelligent Technologies)

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

Industrial AutomationIoTEvent-Driven Programming
Schneider Electric Boston, USA and BGRT, Bengaluru
2023–2024

SoH & RUL Estimation Model for Battery Energy Management

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

Battery TechnologyEnergy ManagementPredictive Algorithms
Schneider Electric, BGRT, Bengaluru
2024–2024

Exploratory Research in Agile AI Model Development (Cascaded Super Learning)

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

AIMachine LearningAgile Development
Research and Innovation, Schneider Electric, Hyderabad
2022–2023

Generalized Anomaly Detection and Predictive Analytics

Research on generalized anomaly detection and predictive analytics.

Anomaly DetectionPredictive AnalyticsMachine Learning
IBM Pvt. Ltd., Bangalore, India
2015–2016

Connected Cars Services and Apps (VANET Application on IBM Bluemix)

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

Connected VehiclesVANETPredictive Analytics
Schneider Electric India Pvt Ltd
2018–2020

Deep Learning and Data Analytic Tools and Techniques in DCES Application

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

Deep LearningData AnalyticsDCES
IBM Pvt. Ltd., Bangalore, India
2015–2016

Cloud Enabled Application Development and Deployment for Drones (IBM Bluemix)

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

Drone TechnologyCloud ComputingIBM Bluemix
TE Connectivity
2014–2016

Ribbonization Defect Analysis & Copper Line Productivity Improvement

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

Optical FiberManufacturingQuality Control
NSTEDB, DST, Govt. of India
2013–2024

Seed Support Scheme for Innovation

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

InnovationStartupsSeed Funding
TDB, DST, Govt. of India
2012–2015

Innovation and Incubation Program (TDB)

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

InnovationIncubationStartups
NSTEDB, DST, Govt. of India
2010–2018

Innovation and Incubation Program (NSTEDB)

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

InnovationIncubationStartups
AICTEAICTE
1997–2001

3D Motion Planning (Robotics)

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

Robotics3D Motion PlanningAICTE

05Partners

Collaborators & Funding

Schneider ElectricTE ConnectivityIBMDSTBIRACAICTE

Government Agencies3

Industry Partners3

06Events

Upcoming & Recent

7 events
Industry Academia Collaboration

May 24th, 2025

Industry Academia Collaboration

11 Industry employees of Schneider Electric received Masters' Degree in Software Engineering.

Workshop on AI Innovations and Applications

May 14, 2025

Workshop on AI Innovations and Applications

A workshop on understanding, brainstorming on and designing applications with bleeding edge AI.

Events and Workshops on AI, Cybersecurity & Digital Transformation

March 28-30, 2025

Events and Workshops on AI, Cybersecurity & Digital Transformation

A comprehensive three-day event focusing on Artificial Intelligence, Cybersecurity, and Digital Transformation organized by the Dr. TMA Pai Endowment Chair in ITIS along with Department of Information & Communication Technology, MIT Manipal.

Generative AI and Large Language Models Workshop - PING 2025

March 28, 2025

Generative AI and Large Language Models Workshop - PING 2025

An expert-led workshop on Generative AI and Large Language Models by Mr. Vivek Kumar Rai from NVIDIA, part of PING 2025.

Cybersecurity Trends and Real-World Case Studies Workshop - PING 2025

March 29, 2025

Cybersecurity Trends and Real-World Case Studies Workshop - PING 2025

An intensive workshop on current cybersecurity trends and real-world case studies, led by Mr. Mohan Singh from Schneider Electric and Dr. Srikanth Prabhu from the Centre for Cybersecurity Lab.

Panel Discussion: The Impact of AI on the Future of Computer Science Education - PING 2025

March 30, 2025

Panel Discussion: The Impact of AI on the Future of Computer Science Education - PING 2025

A high-level panel discussion exploring how artificial intelligence is reshaping Computer Science education, featuring distinguished leaders from academia and industry.

Indomitus CTF 2025: Premier Cybersecurity Competition

March 28-30, 2025

Indomitus CTF 2025: Premier Cybersecurity Competition

A premier 48-hour offline Capture The Flag cybersecurity competition held as part of PING 2025, bringing together the best cybersecurity talent from leading institutions across India.

07Join

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