Alumni Member
Manoharan Ramachandran (Alumni) 
Res. Assoc. for Blockchain Learning Verificatiion
Dr Manoharan Ramachandran is a Research Associate and a mobile application developer at the Open University. He obtained his undergraduate degree and a postgraduate degree in Computer Science (2013, 2015) from Anna University, India. Manoharan received his PhD in Intelligent Transportation Safety from Bournemouth University in 2018 under the supervision of Professor Reza Sahandi, Dr Simant Prakoonwit and Dr Wajid Khan. After completing his PhD, Manoharan joined the Open University as a Research Associate in 2018. His current research focuses on how Blockchain can be used to store lifelong learning records of students and to create an industry-standard accreditation tool for learners in the UK. His research is funded by the Institute of Coding, which is the UK's initiative to increase graduate computing skills and employability.
Manoharan has also developed several award-winning mobile applications in the field of transportation safety. Particularly for his work on drowsy driver alert mobile application, he has received the Qualcomm developer of the month award in the year 2016 (Qualcomm is the primary manufacturer of Android mobile phone processors). Manoharan developed the COVID-19 antibody test/vaccination certification mobile application prototype on top of iOS/Android platform along with his colleagues at the Open University. He also runs Tamil-language Blockchain news and tutorial Youtube channel with 38,000+ subscribers mainly focusing on the Tamil speaking people around the world.
Keys: Blockchain, Linked Data, IoT
Team: Michelle Bachler, John Domingue, Kevin Quick, Aisling Third
News
Publications
Fernandez, M., Tirado, A., Pavon-Perez, A., Duddin, K., Zhang, M., Bakina, K., Bandara, A., Capdevila, R., Lazard, L. and Jurasz, O. (2025) Co-creating an Ontology of Online Gender-Based Harms: An Interdisciplinary Perspective, ISWC 2025 - The 24th International Semantic Web Conference, Nara, Japan
Ghafourian, Y., Hanbury, A. and Knoth, P. (2025) Ranking To Learn: Human Experts, Search Engines, or LLMs for Learning Guidance, TPDL 2025: The 29th International Conference on Theory and Practice of Digital Libraries, Tampere, Finland
Cancellieri, M., El-Ebshihy, A., Fink, T., Fröbe, M., GaluÅ¡Äáková, P., Goeuriot, L., Iommi, D., Keller, J., Knoth, P., Mulhem, P., Piroi, F., Pride, D. and Schaer, P. (2025) Extended Abstract of LongEval at CLEF 2025: Longitudinal Evaluation of IR Systems on Web and Scientific Data, 16th International Conference of the CLEF Association (CLEF 2025), Madrid, Spain
Tsaneva, S., Dessì, D., Osborne, F. and Sabou, M. (2025) Knowledge graph validation by integrating LLMs and human-in-the-loop, Information Processing & Management, 62, Elsevier
Cancellieri, M., Docekal, M., Pride, D., Gruenpeter, M., Douard, D. and Knoth, P. (2025) Interoperable verification and dissemination of software assets in repositories using COAR Notify, The 20th International Conference on Open Repositories, Chicago, Illinois, USA
