BMS
3rd RESEARCH SYMPOSIUM 2026

DATA TO DECISIONS

Intelligent Transformation in Life Sciences & Management

  • Mount Lavinia Hotel, Colombo
  • 14 October 2026
  • 00Days
  • 00Hours
  • 00Minutes
  • 00Seconds

BMS
3rd RESEARCH SYMPOSIUM 2026

DATA TO DECISIONS

Intelligent Transformation in Life Sciences & Management

  • Mount Lavinia Hotel, Colombo
  • 14 October 2026
  • 00Days
  • 00Hours
  • 00Minutes
  • 00Seconds

Inaugural Research Symposium 2019

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2ndResearch Symposium 2024

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3rdResearch Symposium 2026 Event Location

Message from BMS President

Waw sir graduation

Dr W A Wijewadena
DBA, DBA (B&F), DCL (h.c), FIB (SL), MSc (Econ)

The progress and prosperity of nations in the contemporary era are increasingly shaped by their ability to harness data, translate it into meaningful insight, and apply it through informed decision-making. In this context, the rise of artificial intelligence and data-driven systems is transforming the way we understand and integrate life sciences and management, unlocking new pathways for innovation, efficiency, and sustainable development.
 
The transition from data to decisions represents more than a technological advancement, it reflects a fundamental shift in how knowledge is generated, interpreted, and applied. This transformation calls for the integration of life sciences with advanced analytics, alongside the alignment of managerial practices with intelligent systems. Societies that successfully cultivate this interdisciplinary capability by developing skilled researchers, data scientists, and forward-thinking leaders will be best positioned to thrive in an increasingly complex global landscape.
 
BMS Campus, through its Faculty of Life and Medical Sciences and the Faculty of Management and Technology, remains at the forefront of this evolution. By fostering both scientific inquiry and managerial excellence, the institution is committed to developing individuals who can leverage data and artificial intelligence to drive impactful, real-world solutions.
 
The Research Symposium 2026, themed “Data to Decisions: Intelligent Transformation in Life Sciences and Management,” reflects this commitment. It provides a vital platform for students, faculty, and researchers to present their work, exchange ideas, and contribute to advancing knowledge in data-driven innovation. It is expected that these contributions will not only enrich academic discourse but also support practical applications and industry advancement.
 
I extend my sincere appreciation to the organising committee for their dedication and vision in delivering this important initiative. I also commend all participants for their contributions and wish them continued success in their academic and professional pursuits.

Message from BMS President

The progress and prosperity of nations in the contemporary era are increasingly shaped by their ability to harness data, translate it into meaningful insight, and apply it through informed decision-making. In this context, the rise of artificial intelligence and data-driven systems is transforming the way we understand and integrate life sciences and management, unlocking new pathways for innovation, efficiency, and sustainable development.
 
The transition from data to decisions represents more than a technological advancement, it reflects a fundamental shift in how knowledge is generated, interpreted, and applied. This transformation calls for the integration of life sciences with advanced analytics, alongside the alignment of managerial practices with intelligent systems. Societies that successfully cultivate this interdisciplinary capability by developing skilled researchers, data scientists, and forward-thinking leaders will be best positioned to thrive in an increasingly complex global landscape.
 
BMS Campus, through its Faculty of Life and Medical Sciences and the Faculty of Management and Technology, remains at the forefront of this evolution. By fostering both scientific inquiry and managerial excellence, the institution is committed to developing individuals who can leverage data and artificial intelligence to drive impactful, real-world solutions.
 
The Research Symposium 2026, themed “Data to Decisions: Intelligent Transformation in Life Sciences and Management,” reflects this commitment. It provides a vital platform for students, faculty, and researchers to present their work, exchange ideas, and contribute to advancing knowledge in data-driven innovation. It is expected that these contributions will not only enrich academic discourse but also support practical applications and industry advancement.
 
I extend my sincere appreciation to the organising committee for their dedication and vision in delivering this important initiative. I also commend all participants for their contributions and wish them continued success in their academic and professional pursuits.
 

Dr W A Wijewadena
DBA, DBA (B&F), DCL (h.c), FIB (SL), MSc (Econ)

Waw sir graduation

Chief
Guest

Name

Designation

Keynote Speaker

Name

Designation

Research Areas

Life & Medical Sciences

Biomedical Science

Molecular Biology

Food Science & Nutrition

Chemistry & Biochemistry

Medical Sciences & Public Health

Microbiology

Biotechnology

Genetics

Bioinformatics

Management & Technology

Project Management

International Management

Human Resource Management

Digital Transformation

Hospitality Management

Fintech

Bio-Business

Finance

Marketing

Instructions for Authors

BMS Campus invites experts, practitioners, academics, and students to submit original and unpublished abstracts that offer contemporary research on domains of Business and Science.

Procedures following the submission

  • Authors should follow the abstract template provided here.
  • The abstract should reflect an introduction, objective/s, methodology, results and conclusion.
  • The receipt of the abstract will be acknowledged within 24 hours via email.
  • The abstract will proceed for a double-blind peer review.
  • Acceptance for oral/poster presentations or rejections of the abstract will be notified within 20 working days. If the abstract requires revision, the revised abstract should be resubmitted within a week.
  • If the abstract is accepted, an invitation will be sent to you to register for the 3rd BMS Research Symposium.

Abstract submission deadline: 15 July 2026

Download Abstract Template Please use the attached downloadable template to write your abstract
Submit Your Abstract Please upload your completed abstract here
Poster Presentation Instructions
Oral Presentation Instructions

Step 1:

Amend the abstract as per the reviewer feedback and ensure that the final document is camera-ready according to the formatting guidelines.

Step 2:

Download and follow the below provided poster presentation formatting guidelines to prepare your poster.

Step 3:

Upon approval from the supervisor for the abstract and the poster, send both files to the BMS corresponding email. (The poster should be shared with us as a PDF for reference purposes). 
The poster should be printed by the delegate as per the instructed size and should be brought to the venue on the day of the symposium.

Step 4:

Confirm your participation and publication by completing the registration process. Bank details and payment confirmation process are indicated in the registration form.

Download Poster Presentation Guidelines

Step 1:

Amend the abstract as per the reviewer feedback and ensure that the final document is camera-ready according to the formatting guidelines.

Step 2:

Refer to the oral presentation guidelines provided. Prepare the slides for the oral presentation by downloading the template from below.

Step 3:

Upon approval from the supervisor for the abstract and the presentation, send both files to the BMS corresponding email.

Step 4:

Confirm your participation and publication by completing the registration. Bank details and payment confirmation process are indicated in the registration form.

Download Oral Presentation Guidelines
Download Presentation Template
KEY MEMBERS
OBJECTIVES
IMPORTANT DATES
REGISTRATION

Conference Chairs

Dr Mathi Kandiah

Dean
Faculty of Life & Medical Sciences

Prof. Asoka Malkanthie

Dean
Faculty of Management & Technology

Advisory Members

Dr W A Wijewardena

President BMS CAMPUS

Dr Kelum Gamage

Vice President BMS CAMPUS

Prof Ravi Dissanayake

Professor in Marketing
University of Kelaniya

Prof Deepthi de Silva

Professor in Medical Genetics University of Kelaniya

Dr Abdul Cader

Academic Registrar

ORGANISING COMMITTEE Members

Erangee Mendis

Deputy Registrar
Faculty of Life & Medical Sciences

Dr Geethika Liyanage

Head of Food Science & Nutrition
Faculty of Life & Medical Sciences

Dr Dilini Sadeepa

Head of Biotechnology
 Faculty of Life & Medical Sciences

Dr Sankhani Hemachandra

Academic Lead - Postgraduate Programmes
Faculty of Management & Technology

Ominda Perera

Manager, Laboratory
Faculty of Life & Medical Sciences

Harshini De Silva

Head, Global Business and People Management,
Faculty of Management & Technology

Thangavel Kavishankar

Senior Lecturer, Department of Marketing and Entrepreneurship
Faculty of Management & Technology

Zahra Nawfer

Head, Marketing and Entrepreneurship
Faculty of Management & Technology

Sanoj Vidarshan

Assistant Manager, Academic Administration
Faculty of Management & Technology

Minu Perera

Head, Department of English & Academic Literacy
Academic Skills Centre

Nirmani Wickramanayake

Assistant Manager
Digital Studio

Hasni Nihar

Assistant Manager
Web & System Administration

1. Advancing Data-to-Decision Integration Across Disciplines

Promote interdisciplinary collaboration to explore how data analytics and artificial intelligence can be integrated across life sciences and management, transforming data into actionable insights that drive innovation and strategic outcomes.

2. Showcasing Intelligent, Data-Driven Innovations

Provide a platform to present cutting-edge research and real-world applications of AI and advanced analytics in healthcare, biotechnology, and management, highlighting solutions that enable smarter, data-informed decision-making.

3. Strengthening Intelligent and Responsible Decision-Making

Equip participants with the knowledge, tools, and frameworks required for AI-enabled decision-making, while fostering responsible innovation through critical discussions on ethics, governance, and the societal impact of data-driven technologies.

Abstract submission :

30 June 2026

Final (camera-ready) submission :

30 August 2026

Registration :

1 September 2026 – 15 September 2026

Conference Date :

Wednesday 14 October 2026

If you wish to participate as an oral or poster presenter, you may register as a delegate or student.

If you wish to participate as an audience member or a listener, you may register as a non-presenter.

Registration Fee

BMS Presenter and Non-Presenter: LKR 2000

Local External Presenter: LKR 5000 

Local External Non-Presenter: LKR 3500

Foreign External Presenter: LKR 10,000

Foreign External Non-Presenter: LKR 7000

Click here to register