ආයුබෝවන් ! வணக்கம்! Welcome!

'INNOVATION FOR EQUITY AND WELL-BEING'

ALOKA (Artificial intelligence and Light assisted Opto-electrochemical-Kinematic Agents) collaboration is a group dedicated to the development of technologies amalgamating Optics, Mechactronics, Materials and Analytics aiding interdisciplinary scientific research and industrial applications.

OUR VISION

Be a centre of excellence in developing novel AI driven nanophotonics-based technologies enabling inclusive and sustainable development with a focus on empowering youth in scientific innovation and leadership.

OUR MISSION

Our mission is to generate new scientific knowledge by way of utilizing machine learning and nanophotonics related technologies across different platforms. This will be achieved through partnering with the scientific community across Sri Lanka and fostering a learning environment for developing human expertise and research infrastructure. With the guidance of experienced mentors and a transparent research administration with streamlined processes, we will cultivate young talent through team-work, shared responsibility and upholding ethics and morals to produce strong and independent scientists.

R & D Overview

Over 20 researchers and students are working on different projects under multiple methods namely; Raman spectroscopy, Multispectral imaging, Fluorescence imaging, Materials for optical enhancement, Configurable electronics, Automation and Machine Learning aided image processing.

Analytical Techniques
Our current capabilities and following analytical techniques are benefiting researchers in Material Science, Cell Biology, Medical Sciences.
  • Raman Spectroscopy
  • Surface Plasmon Resonance sensing
  • Fluorescence Spectroscopy
  • Multispectral Imaging-based microscopy
Technology Development
Main focus is to develop customizable low-cost instrumentation technologies and solutions to solve problems of our research collaborators. Probing biological analytes to systems, Development of nanomaterials for Biomarker detection and Machine Learning based image processing and spectral processing are some current interests.
  • Nanomaterials for Raman Spectroscopy
  • Optical and Electromechanical Instrumentation
  • Machine learning-based analytics
Applications
Our collaborators come from various backgrounds. Currently we collaborate with teams from Medicine, Biological Sciences, Material Science and Mineralogy. Applications range from Spectroscopy based characterization to fluorescence-based image acquisition to processing solutions.
  • Biomarker detection for disease diagnostics
  • Chemical Identification using Raman
  • Cellular imaging and morphological analysis

Would you like to do collaborative projects?

Vibrant collaborations are key to success ….

Raman spectral processing & feature analytics

Raman spectral processing & feature analytics

Feasibility of using deep learning techniques such as U-Nets for Raman spectral denoising is investigated alongside classical methods such as…

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Raman Chemometrics of Coconut Oil

Raman Chemometrics of Coconut Oil

Coconut oil is one of the main cooking oils used in Sri Lanka. Cocunut based industry also is a main…

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Raman spectroscopy of Minerals

Raman spectroscopy of Minerals

Sri Lanka is renowned for its magnificent gems. In this project Sri Lankan gems are characterized for its internal mineral…

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Surface plasmon resonance (SPR) sensing

Surface plasmon resonance (SPR) sensing

Surface plasmon resonance (SPR) sensors are now finding many novel applications. The technology can be now developed for in-situ detection…

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Leishamanasis and spectral imaging

Leishamanasis and spectral imaging

Leishmaniasis is a chronic inflammatory parasitic disease transmitted through the bite of infected sandflies. Visceral (VL), Cutaneous (CL) and Mucocutaneous…

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Catalytic SERS biosensing

In this project reduced graphene oxide (rGO) wrapped Cuprous Oxide based composite having photocatalytic bahaviour is studied for potential surface…

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Gold nano-particles as SERS substrates for CKDu biomarker detection

Gold nanoparticles are frequently used for Surface Enhanced Raman spectroscopy. In this project spherical Au nanoparticles of size scales 20…

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Analytics for FISH (Fluorescence In Situ Hybridization ) images

Analytics for FISH (Fluorescence In Situ Hybridization ) images

In this project analytics for fluorescence in-situ hybridization (FISH) images are developed primarily with an aim of detecting chromosomal abberations…

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