Who We Are

Combined Experience in

  • 40+YearsIndustry
    R&D
  • 50+YearsAcademic
    R&D
  • 15+YearsProduct
    Development

Global Reach

US | LK

Tell Us What You Need

Who We Are

Where Expertise Becomes Technology

Farbe Technologies is a research-led engineering company based in Sri Lanka, guided by a Board of Directors comprising internationally recognized researchers with PhDs from leading institutions, including MIT, NUS, Purdue University, and Texas Tech University. Our scientific leadership brings together an IEEE Fellow, multiple IEEE Senior Members, over 60 US patents, and publications in leading journals and international conferences such as CVPR, ICLR, WACV, ICASSP, and ICIP. With industry experience at global technology leaders including Texas Instruments and Samsung Research America, our directors combine academic excellence with practical engineering expertise. This foundation shapes everything we build, guiding our work across industry, healthcare, energy, agriculture, and beyond. We connect every stage of development, from fundamental research and intellectual property to hardware design, software engineering, and field deployment. The result is intelligent, reliable technology that performs beyond the laboratory and can be owned, scaled, and commercialized by our clients.

Our Vision
“To be a Centre of Excellence in AI research and development, delivering innovative technology solutions that foster sustainable societal progress.”
Our Mission
“To pioneer cutting-edge AI and technology solutions that redefine innovation, efficiency and sustainability. We deliver customized, high-impact products and services — from AI to biomedical engineering and IoT — empowering industries to thrive in a rapidly evolving world.”
Portrait of Dr. Mike Polley

President

Dr. Mike Polley

Founder & Principal, Polley Advisory Group

Dr. Mike Polley is Founder and Principal of Polley Advisory Group, an independent practice advising venture capital firms, investors, boards and technology companies on semiconductors, AI and computational imaging. He conducts technical due diligence and advises leadership teams on technology roadmaps, product and IP strategy, and R&D organisation. He serves as President of the Board of Directors of Farbe Technologies, where he chairs the Business Strategy and Global Expansion Committees.

With 30 years of R&D and business leadership at Samsung and Texas Instruments, he previously served as Senior Vice President and Head of Samsung’s Mobile Processor Innovation Lab, which he co-founded in 2013. The lab’s AI and multi-frame imaging technologies have shipped in every Samsung Galaxy flagship smartphone since 2014. At Texas Instruments, he served as Chief Architect of the OMAP application processor business and led embedded signal processing R&D. An IEEE Fellow and TI Fellow, he earned his B.S., M.S. and Ph.D. degrees in electrical engineering from MIT.

Selected Highlights

  • Samsung – Led development of core imaging technologies behind Nightography, Expert RAW, HDR and Advanced Digital Zoom.
  • Texas Instruments – Led a 140-person architecture team and guided 700+ additional engineers, defining architectures across four OMAP generations.
  • Independent Board Leadership – Board member of a private technology company; chairs its Strategic Direction and Silicon Roadmap Committees.
  • Professional Recognition – IEEE Fellow; elected a Texas Instruments Fellow in 2008.
  • Patents – More than 50 U.S. patents spanning AI, computational imaging, signal processing, wireless communications and digital media.
  • Publications and Speaking – Author or co-author of 20 publications and white papers; delivered 25+ keynotes, presentations, panels and university seminars.
  • Industry Standards – Contributed to 11 industry standards proposals and served on IEEE technical committees.

Portrait of Mr. Manjula Jayasinghe

Chief Executive Officer

Mr. Manjula Jayasinghe

Sales, Marketing & Product Management Leader

Mr. Manjula Jayasinghe is a sales, marketing and product management leader with more than 20 years of experience driving business growth, shaping product strategy and building high-performing teams across Sri Lankan and Asia Pacific markets. He is currently part of the leadership team at V S Information Systems (VSIS), a Sri Lankan provider of enterprise technology solutions and services.

He began his career at Informatics (Pvt) Ltd as a Management Trainee in Sales & Marketing, progressing to Product Manager and Assistant General Manager. In 2010 he joined HP Sri Lanka as an Enterprise Account Manager, beginning a career of more than 14 years with HP during which he served as Country Business Manager for Sri Lanka and Category Manager for Bangladesh and Sri Lanka. Most recently, he was Theater Category Manager for Asia Pacific & Japan (APJ) in HP’s Worldwide Category organisation in Singapore, working with cross-functional, multicultural teams across diverse regional markets. He holds a BSc in Physical Sciences and a Postgraduate Diploma in Business Management from the University of Peradeniya.

Selected Highlights

  • V S Information Systems (VSIS) – Leadership Team
  • HP Worldwide Category Organisation, Singapore – Theater Category Manager, Asia Pacific & Japan
  • HP – Country Business Manager, Sri Lanka; Category Manager, Bangladesh & Sri Lanka
  • HP Sri Lanka – Enterprise Account Manager
  • Informatics (Pvt) Ltd – Assistant General Manager; Product Manager
  • University of Peradeniya – BSc in Physical Sciences; Postgraduate Diploma in Business Management

Portrait of Prof. Roshan Indika Godaliyadda

Director, Technical

Prof. Roshan Indika Godaliyadda

Professor, Electrical and Electronic Engineering, University of Peradeniya

Professor Roshan Indika Godaliyadda is a Professor at the University of Peradeniya and Deputy Director for Research and Innovation at its Multidisciplinary AI Research Centre. He earned his PhD from the National University of Singapore (2011). His research spans AI, signal and image processing, computer vision, spectral imaging, smart energy and wearable sensing, connecting fundamental algorithms with practical engineering systems.

An IEEE Senior Member, he has an h-index of 24, received 4 Presidential Awards for Scientific Publications and has contributed to 8+ funded research grants and awards, including programmes supported by the National Research Council, the National Science Foundation and IDRC Canada. His research appears in prominent venues including IEEE Transactions on Smart Grid, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.

Selected Highlights

  • IDRC Canada – AI4COVID research programme: Co-investigator in the international programme with a CAD 0.8 million overall project budget.
  • NVIDIA Academic Grant – HeritageAI: Principal investigator; USD 0.7 million in GPU hours (2026).
  • National Research Council – tea-cultivation digital twin: Co-investigator; LKR 19.97 million (2026).
  • National Science Foundation – non-intrusive load monitoring: Principal investigator; LKR 1.58 million.
  • University Research Council – preterm-birth detection: Co-investigator; LKR 2.23 million.
  • Presidential Awards for Scientific Publications: 4 awards (2016, 2017, 2019 and 2020).
  • Faculty Research Excellence Awards: 2018, 2020 and 2022.

Portrait of Prof. H. M. Vijitha R. Herath

Director, Products

Prof. H. M. Vijitha R. Herath

Professor, Electrical and Electronic Engineering, University of Peradeniya

Professor H. M. Vijitha R. Herath is a Professor at the University of Peradeniya and a co-founder of Farbe Technologies. He obtained his PhD from the University of Paderborn, Germany (2009). A former Head of Department and Director of the University’s Centre for Engineering Research and Postgraduate Studies, he brings extensive experience in electronic product design, multispectral imaging, remote sensing, computer vision and optical communication.

A Senior Member of IEEE and Optica, has an h-index of 20, has received 2 Presidential Awards for Scientific Research, a 2024 Sahasak Nimavum Silver Award, and the Lady Davis Visiting Professors Fellowship (2023) at Technion, Israel Institute of Technology. His work has appeared in IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Instrumentation and Measurement, Journal of Food Engineering and Optics Express. He has contributed to 3+ documented major research projects.

Selected Highlights

  • IDRC Canada – Global South AI4COVID programme: Co-investigator in the international programme with a CAD 0.8 million overall project budget.
  • Lady Davis Visiting Professors Fellowship: International visiting appointment at Technion – Israel Institute of Technology (2023).
  • University of Peradeniya – multispectral high-voltage insulator monitoring: Principal investigator; LKR 542,549.
  • University-funded wearable biometric-signal monitoring: Co-investigator; LKR 1.15 million.
  • Presidential Awards for Scientific Research: 2 awards (2013 and 2020).

Portrait of Prof. Mervyn Parakrama B. Ekanayake

Director, Operations

Prof. Mervyn Parakrama B. Ekanayake

Professor, Electrical and Electronic Engineering, University of Peradeniya

Professor Mervyn Parakrama B. Ekanayake is a Professor at the University of Peradeniya and a Board Member of its Multidisciplinary AI Research Centre. He earned his PhD in Applied Mathematics from Texas Tech University, USA (2011). His expertise covers embedded systems, wearable devices, signal and image processing, computer vision, spectral imaging and smart energy, with particular strength in translating mathematical methods into working instrumentation and AI systems.

An IEEE Senior Member, he has an h-index of 22 and has received 6 Presidential Awards for Research Publications across four publication years. He has participated in 6+ funded research projects as principal or co-investigator, including work supported by the National Science Foundation, University Research Council and IDRC Canada. His papers include work in IEEE Transactions on Smart Grid, Applied Energy, IEEE Transactions on Instrumentation and Measurement and IEEE Transactions on Geoscience and Remote Sensing.

Selected Highlights

  • IDRC Canada – AI4COVID programme: Co-investigator in the international programme with a CAD 0.8 million overall project budget.
  • National Research Council – tea-cultivation digital twin: Principal-investigator; LKR 19.97 million (2026).
  • University Research Council – preterm-birth detection: Co-investigator; LKR 2.23 million.
  • National Science Foundation – predictive smart distribution management: Principal investigator; LKR 2.18 million.
  • National Science Foundation – non-intrusive load monitoring: Co-investigator; LKR 1.58 million.
  • University Research Council – wearable biometric monitoring: Principal investigator; LKR 1.15 million.
  • Presidential Awards for Research Publications: 6 awards (2016, 2017, twice in 2019 and twice in 2020).
  • Faculty Research Excellence Awards: 2018, 2020 and 2022.

Portrait of Prof. Roshan Gabriel Ragel

Director, Information

Prof. Roshan Gabriel Ragel

Professor, Computer Engineering, University of Peradeniya

Professor Roshan Gabriel Ragel is a Professor of Computer Engineering at the University of Peradeniya, Deputy Director for Capacity Development at its Multidisciplinary AI Research Centre, and a consulting CEO of the Lanka Education and Research Network (LEARN). He earned his PhD in Computer Science and Engineering from the University of New South Wales, Australia (2007). His expertise includes embedded and secure computing, hardware/software acceleration, bioinformatics, wearable and IoT systems, and applied AI.

With 200+ peer-reviewed publications and over 20 years of academic and research leadership and has an h-index of 28. Professor Ragel is an IEEE Senior Member and recipient of 2 Presidential Awards for Scientific Publications. He received the 2025 IEEE Computer Society Mary Kenneth Keller Undergraduate Teaching Award. His work combines technology research with national computing infrastructure, AI education and international collaborations, including 3+ EU-supported research and education initiatives.

Selected Highlights

  • EU Erasmus+ TEAL2.0 – technology-enabled learning: International consortium project with an approximately EUR 999,091 budget.
  • EU Asi@Connect – network security and infrastructure: Approximately EUR 150,000 project budget.
  • EU Asi@Connect – National Research and Education Network Needs Assessment: Approximately EUR 36,300 programme budget.
  • IEEE Computer Society Mary Kenneth Keller Undergraduate Teaching Award: 2025.
  • National Educator Gold Award for Computing: 2024.
  • Presidential Awards for Scientific Publications: 2 awards, conferred in 2018 and 2023.
  • Most Prolific Sri Lankan Author: Elsevier Research recognition (2017).
  • Faculty Research Excellence Award: 2018.

Portrait of Dr. Dilshan Godaliyadda

Board Director

Dr. Dilshan Godaliyadda

Chief Technology Officer & Head of Product, OxiWear Inc.

Dr. Dilshan Godaliyadda is the Chief Technology Officer and Head of Product at OxiWear Inc., a US-based company specializing in wearable health-monitoring technologies. He leads the company's technology strategy, product development, and research and development initiatives. He also serves on the Board of Directors of Farbe Technologies.

Previously, he served as Head of Intelligent Visual Innovation at Samsung Research America, where he led advanced research within the Mobile Processor Innovation Lab and directed R&D for the ExpertRAW product. Before joining Samsung, he held research and development and business development roles at Texas Instruments.

Dr. Godaliyadda earned his BSc in Electrical and Computer Engineering from the University of Maryland, graduating summa cum laude at the top of his class. He subsequently obtained his Master's and PhD degrees from Purdue University, specializing in computational imaging.

Selected Highlights

  • Industry Leadership – CTO and Head of Product, OxiWear Inc.
  • Corporate Governance – Board Director, Farbe Technologies.
  • Samsung Research America – Former Head of Intelligent Visual Innovation and ExpertRAW R&D Lead.
  • Research Publications – Author of 20+ peer-reviewed publications.
  • Patents – Authored and submitted 10+ patent applications spanning AI, computational imaging, image processing, and medical device technology.
  • Academic Excellence – BSc, summa cum laude, University of Maryland; Master's and PhD, Purdue University.

Portrait of Dr. W. K. Tharanga Mahesh Gunarathne

Head of AI Solutions Sales

Dr. W. K. Tharanga Mahesh Gunarathne

AI Commercialisation, Enterprise AI Strategy and Research & Industry Collaboration

Dr. W. K. Tharanga Mahesh Gunarathne is Head of AI Solutions Sales at Farbe Technologies. An academic, technology leader and AI commercialisation strategist with over 13 years of combined experience in higher education and enterprise technology, he holds a PhD in Computer Science and Information Engineering, specialising in Machine Learning and Data Science, from National Central University, Taiwan. He also holds an MBA in Project Management, an MSc in Electronic Business and a BSc (Hons) in Computing Science.

His work focuses on transforming AI research into practical, scalable solutions for industry. He leads AI business development, client engagement, pre-sales and solution design, working with technical teams, universities and R&D partners across machine learning, generative AI, natural language processing, computer vision, analytics and intelligent automation. His background also spans academic leadership, research coordination, quality assurance and teaching.

Selected Highlights

  • Farbe Technologies – Head of AI Solutions Sales: leads enterprise AI business development, client engagement, pre-sales and proposal development.
  • SLTC Research University – Former Senior Lecturer (Grade II), Academic Research Coordinator and School Quality Assurance Chair.
  • Monash University – Teaching Associate, Faculty of Information Technology (2023–2025).
  • Applied Technology Delivery – Contributed to AI-driven fleet management, real-time container tracking, IoT-based cooler monitoring and integrated ERP/CRM solutions.
  • Research Output – Author or co-author of 18+ publications across machine learning, recommendation systems, learning technologies and computer vision.
  • Academic Excellence Award – CIC Higher Education, Australia (2025).
  • Best Publication Award – National Central University, Taiwan (2018–2019).