Senior Lecturer (Department of Mechanical Engineering)
Dr. Dulini Mudunkotuwa is a graduate from the Department of Mechanical Engineering, University of Moratuwa. She has obtained her Masters degree and PhD degree from University of Tokyo, Japan. She is a recipient of the Aota Masaki Award for research in physical oceanography.She has worked on Green Network of Excellence Program Arctic Climate Change Research Project (GRENE) and Arctic Challenge for Sustainability Research Project (ArCS) by the Japanese Ministry of Education (MEXT) as a researcher. She has attended Polar Prediction Graduate School at Abisko Arctic Field station, organized by University of Stockholm, Sweden. She has served as a Pre-Doctoral fellow at the Institute of Industrial Sciences, University of Tokyo. She is a Chartered mechanical engineer who has served in the Young members section and Junior inventor of the year committee of IESL as the secretary. She was a former Head of the Department of Interdisciplinary Studies. Currently she serves as the Head of the Department of Mechanical Engineering.She is the principal investigator of research grants worth 130 million on establishing an Advanced Engineering Simulation Center (E-Sim Center) and a makerspace (i-lab) for sustainable product development and commercialization. Her research interests are in Computational Fluid Dynamics, Numerical weather prediction, Data Assimilation, product development and mechanical engineering design.
PhD Thesis (2016), University of Tokyo, Japan: Data assimilation to improve sea ice predictability in the Arctic Ocean
Master Thesis (2013), University of Tokyo, Japan: Large eddy simulation of flow around airfoils using voxel mesh
Ratiyalage, Yasun, Dulini Yasara Mudunkotuwa, and Peshala Jayasekara. “CFD based Autonomous Surveillance Vessel Design for Maritime Environments.” In OCEANS 2022-Chennai, pp. 1-8. IEEE, 2022.
Hennayake, S.A., Dinalankara, D.M.R., Mudunkotuwa, D.Y., 2021, August. Machine Learning Based Weather Prediction Model for Short Term Weather Prediction in Sri Lanka. In ICIAFS-2021 Colombo. IEEE.
Fernando, V.N., Mudunkotuwa, D.Y., 2021, August. Bio-Inspired Aircraft Wing Modification Analysis in ANSYS Fluent. In ICIAFS-2021 Colombo. IEEE.
Bandara, P.M.T., Hetti Mudiyanselage, T.R.B., Mudunkotuwa D.Y., Jayathilake, S.A.D.J., Jayaweerage, N.M.J., Rajapaksha Appuhamilage S.T.G., Jayasinghe Arachchige, L.J.S., (2021). Smooth lateral patient transfer apparatus. WO/2021/148864.
Bandara, P.M.T., Hetti Mudiyanselage, T.R.B., Mudunkotuwa D.Y., Jayathilake, S.A.D.J., Jayaweerage, N.M.J., Rajapaksha Appuhamilage S.T.G., Jayasinghe Arachchige, L.J.S., (2021). Smooth lateral patient transfer apparatus. LK/20943.
Y. Mudunkotuwa, L. W. A. De Silva and H. Yamaguchi, “Kalman filter based data assimilation system to improve numerical sea ice predictions in the Arctic Ocean,” OCEANS 2019 – Marseille, 2019, pp. 1-5, doi: 10.1109/OCEANSE.2019.8867109.
M.H.V.D.Y. Mudunkotuwa, C. Kato “Validating the Voxel Meshes in Aeroacoustic and Flow Computations of Airfoil Flows by Large Eddy Simulations “ Procedia Engineering, Elsevier ISSN:1877-7058
Mudunkotuwa D Y, , De Silva L.W.A, Yamaguchi H. “Improving numerical sea ice predictions in the Arctic Ocean by data assimilation using satellite observations”, “Polar Oceans Research”, February 2017
Y. Mudunkotuwa, L. W. A. De Silva and H. Yamaguchi, “Kalman filter based data assimilation system to improve numerical sea ice predictions in the Arctic Ocean,” OCEANS 2019 – Marseille, Marseille, France, 2019, pp. 1-5.
Mudunkotuwa D Y, Yamaguchi H. “Data assimilation system to improve sea ice predictions in the Arctic Ocean using an ice-ocean coupled model .” IAHR International Symposium on Ice, Ann Arbor, Michigan, USA. Michigan, 2016.
Mudunkotuwa D.Y, Yamaguchi H. “Improving sea ice predictions along the Northern Shipping Route using observation data .” Arctic Observing Summit, AOS 2016, Arctic Science Summit Week. Fairbanks, Alaska, USA 2016
De Silva, L.W.A., D. Y. Mudunkotuwa and H. Yamaguchi (2016): ”Short term sea ice prediction for ice navigation in the Arctic sea routes using TIGGEdata”, March 3-4, Final Symposium on GRENE-Arctic Climate Change Research Project, Tachikawa, Japan
Mudunkotuwa D.Y., De Silva L.W.A., Yamaguchi H. “Improving numerical sea ice predictions in an ice-ocean coupled model with data assimilation.” MIT-University of Tokyo joint symposium, March 2016.
Mudunkotuwa D.Y.; Yamaguchi H. 2016. “Data assimilation in an ice-ocean coupled model to improve sea ice predictions in the Arctic Ocean. Conference”, 31st International Symposium on Okhotsk Sea & Sea Ice, At Mombetsu, Hokkaido, Japan, Volume: Proc.31st International Symposium on Okhotsk Sea & Sea Ice, Feb. 21-24, 2016, pp.235-238
Mudunkotuwa D.Y.; De Silva L.W.A., Yamaguchi H. 2015. “Parametric study of assimilating sea ice concentration in a coupled ice-ocean model using nudging.” Conference: 30th International Symposium on Okhotsk Sea & Sea Ice (Mombetsu-15 Symposium), At Mombetsu, Hokkaido, Japan, Volume: Proc.30th International Symposium on Okhotsk Sea & Sea Ice (Mombetsu-15 Symposium), Feb. 15-19, 2015, pp.64-67
Mudunkotuwa M.H.V.D.Y., Samarakoon, P., Jayathilake P. “Decision support model to implement lean manufacturing in Sri Lankan garment industry” IMeche (Institute of Mechanical Engineers) Speak Out for Engineers – SOFE 2010, April (10-12) Singapore
Mudunkotuwa D.Y.; Disanayaka D.L.T.M. “Finding the optimal position to place an air conditioner in a room in tropics using computational fluid dynamics” MR2018, Colombo, sri Lanka
Mudunkotuwa D.Y.; Samarasekara G.N; Nandapala K.; Priyadarshani 1 K.A.M.; Bandara P.M.T. “An approach to deal with free riders in assessed group work. A case study in an undergraduate engineering program” Globed 2017 International Conference on Global Education and E-Learning , Colombo, Sri Lanka. October (10-11) 2017.
Samarasekara G.N; Mudunkotuwa D.Y.; Nandapala K.; Jayasekara P.G.; Bandara P.M.T. “Identification of competencies developed through problem based student competitions during foundation years: Case study of Engineering undergraduates” Globed 2017 International Conference on Global Education and E-Learning , Colombo, Sri Lanka. October (10-11) 2017.
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Project |
Funding Agency |
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Data assimilation to improve sea ice predictability in the Arctic Ocean |
Green Network of Excellence Program Arctic Climate Change Research Project (GRENE) and Arctic Challenge for Sustainability Research Project (ArCS) by the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) and a Kakenhi grant (no. 26249133) from the Japan Society for the Promotion of Science (JSPS). |
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Design and fabrication of a bioinspired car |
University of Sri Jayewardenepura research grants |
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Hybrid gear shifting module for bicycles |
IIVCC grants of University of Sri Jayewardenepura |
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Coconut fiber infused mud bricks |
IIVCC grants of University of Sri Jayewardenepura |
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An advanced engineering simulation center for Computational fluid dynamics and numerical studies. |
STHRD Project of ADB |
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i-lab for sustainable product design, development, and commercialization |
STHRD Project of ADB |
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Project |
Affiliation |
Student Name |
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Numerical weather prediction (NWP) and Machine Learning based Hybrid model for weather prediction in Sri Lanka |
MPhil- Faculty of Engineering, University of Sri Jayewardenepura |
Ms. Anuradha Hennayaka |
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Numerically modelling green walls and its surrounding using Computational Fluid Dynamics |
MPhil- Faculty of Engineering, University of Sri Jayewardenepura |
Ms. Bhagyani Randunuge |
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Design of Solar Powered Surveillance Vessel for Autonomous Navigation in Turbulent Maritime Environments |
MPhil- Faculty of Engineering, University of Sri Jayewardenepura |
Mr. Yasun Ratiyala |
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Develop a decision support model for engineering analysis of tank cascade systems (TCS) in Sri Lanka |
MPhil- Faculty of Engineering, University of Sri Jayewardenepura |
Mr. Gayantha Kodagoda |
Phone: Ext. – 7430
E-mail: dulini@sjp.ac.lk