AI LAB

Established 2017 • VGST Grant

Advancing Artificial Intelligence, Machine Learning, and Big Data Analytics

The AI Research Lab was initiated in 2017 with a grant from the Vision Group on Science and Technology (VGST). Since its inception, the lab has been dedicated to advancing the fields of Artificial Intelligence (AI), Machine Learning, and Big Data Analytics. Our lab is part of the Department of Software Technology at St Aloysius Deemed to be University, and it has become a hub for innovative research.

Vision

To be a global leader in pioneering AI-driven innovations that transform healthcare, academia, and society, fostering sustainable solutions for a better tomorrow.

Mission

Innovate for Impact – Develop cutting-edge AI and Big Data solutions addressing critical societal challenges.
Empower Academia & Industry – Create tools that strengthen education and medical practices.
Foster Interdisciplinary Collaboration – Unite faculty, researchers, students, and industry partners.
Advance Knowledge & Creativity – Promote curiosity, problem-solving, and creative AI integration.
Ensure Real‑world Relevance – Work with healthcare and industry to deliver practical, impactful outcomes.

Projects and Ongoing Work

Ongoing Project

mBilimeter

Smartphone-based device for accurate bilirubin estimation in neonates—enabling improved monitoring and management of neonatal jaundice.

Completed Projects

Malaria Detection Tool – AI-powered symptom analysis.
Dengue Detection Tool – Early detection via patient symptoms.
Diabetes Analysis System – Predictive risk assessment.
Medical ChatBot – Instant AI-driven medical assistance.
Mandibular Canal Detection – Imaging solution for dental precision.

Core Focus of the Lab

Pioneering AI and Big Data solutions for healthcare diagnostics.
Driving impactful, meaningful innovation in AI.
Training the next generation of AI professionals.
Building cutting-edge tools for medical and societal challenges.
Collaborating with healthcare, industry, and academia for real impact.

Funded Research Projects

Big Data Lab & Patient Analytics (VGST, Govt. of Karnataka)

GRD–545, K-FIST(L2), 2018–2021 • ₹26 Lakhs • Completed

Food Habits & Health Trends (UGC‑STRIDE)

Grant-no. 2-20/2019(STRIDE-I) • ₹4 Lakhs • Completed

mBilimeter – Smartphone Bilirubin Device (DSTHUB MAHE)

₹32 Lakhs • In progress

Collaborative Research Protocols

ML-tailored Diets for Lifestyle Disease Prevention

Protocol 295/2024 • FMIEC/CCM/269/2024 • Co‑Investigators: Dr. Akshay Dias, Dr. Sandras Joseph

Medical Students’ Perception of AI & Medical Bots

Protocol 300/2024 • FMIEC/CCM/272/2024 • Co‑Investigator: Dr. Hilda Shanthini

AI for Helicobacter pylori in Gastric Biopsies

Protocol 378/2023 • FMIEC/CCM/406/2023 • PI: Dr. Akshay Dias

Predicting & Managing Blood Glucose in T1D

Protocol 367/2023 • FMIEC/CCM/417/2023 • PI: Dr. Mangala, Dr. Sudeep

Predictive Patterns for Malaria & Dengue

Protocol 126/19 (FMMCIEC/CCM/149/2019) • Co‑Investigator: Dr. Sanjeev Rai

Patterns in Diabetes & Hypertension (RHTC Thumbay)

Protocol 125/19 (FMMCIEC/CCM/148/2019) • Co‑Investigators: Dr. Sudhir Prabhu, Dr. Achal Shetty

Breast Cancer Detection on Mammography

FMMCIEC/CCM/2165/2021 • Co‑Investigator: Dr. Ram Shenoy Basti

Bilirubin Estimation in Neonates

FMMCIEC/CCM/168/2022 • Co‑Investigators: Dr. Saritha Paul, Dr. Sanjeev Rai

Automatic Mandibular Canal Detection in CBCT

Protocol 22005 (20/12/2022) • Co‑Investigators: Jefferson, Dr. Nanditha Sujir, Dr. Junaid Ahmed, Dr. Mohan

Acceptance of COVID‑19 Vaccination

Protocol 145/2022 (21.03.2022) • Co‑Investigators: Dr. Sanjeev Rai, Mr. Ashwin, Dr. Hilda Shanthini, Dr. Rakesh Kumar

AI Awareness Survey (Medical Faculties & Students)

Protocol 195/2021 • Approval FMIEC/CCM/212/2021

Collaborators

Eiko Takaoka Laboratory, Sophia University, Tokyo, Japan
Gonsalves AI Lab, Sophia University, Tokyo, Japan
Father Muller Medical College, Mangalore
Manipal College of Dental Sciences, Mangalore
Kanachur Institute of Medical Sciences, Mangalore
St Joseph’s University, Bangalore
DST (Department of Science and Technology), Government of India, New Delhi, India
VGST (Vision Group on Science and Technology), Government of Karnataka, Bangalore, India
UGC (University Grants Commission) – New Delhi, India
MIDAS, DST-MAHE HUB, Manipal, India

Workshops

Unboxing AI: Engaging with Healthcare Professionals and Medical Data

Two-day workshop for students and faculty from St. Joseph’s University, Bangalore on Feb 15th–16th, 2024, at AIMIT Centre, Mangalore.

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Unboxing AI: Engaging with Healthcare Professionals and Medical Data

Three-day workshop for faculty members and research scholars from Computer Science on Nov 20th–22nd, 2023, at AIMIT Centre, Mangalore.

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Unboxing AI: A Medical Practitioner’s Perspective

Three-day workshop for healthcare professionals on Sept 20th–22nd, 2023, at AIMIT Centre, Mangalore.

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Hands-on Robotics: Designing the Future

Two day workshop for students, conducted by Goken Lab AI, Sophia University, Japan, on March 18th-19th, 2025, at AIMIT Centre, Mangalore.

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Unboxing AI: Engaging with Healthcare Professionals and Medical Data

One-day workshop for medical professionals on June 10th, 2025, at Father Muller Medical College, Mangalore.

Getting Started with AI

One-day workshop for medical professionals on June 29th, 2025, at Father Muller Medical College, Mangalore.

Awards and recognition

Sophia Lecturing – Selected by Sophia University, Tokyo, Japan for the academic year 2024; invited as Visiting Associate Professor to the Department of Science and Technology under the supervision of Prof. Eiko Takao (April – July 2024).
Best Research Paper Award (2023-24) – Awarded at Sambharama 2024, St Aloysius Deemed to be University, Mangalore.
Best Research Paper Award (2022-23) – Awarded at Sambharama 2023, St Aloysius Deemed to be University, Mangalore.
DST-Funded Project Winner (2021) – Won Best Project Presentation and secured funding for the project “Smartphone device for bilirubin estimate in Neonates – mBilimeter” by Department of Science and Technology (DST), New Delhi.
Top 10 Research Paper Recognition (2021) – Paper titled “A non-invasive model to detect Dengue based on symptoms using AI and ML” was recognized among the Top 10 Papers at the Machine Learning Developer Summit (MLDS), Bangalore (Feb 11–13, 2021) by Analytics India Magazine.