YASEEN ADNAN AHMED worked as teaching assistant for his supervisor during his postgraduate study. He was awarded with Presidential award from Osaka University Alumni Association for his outstanding result in Master program. After being awarded with doctorate degree, he worked as Research Fellow in International Maritime Research Centre (IMaRC), Kobe University, Japan. He also visited Osaka University occasionally as visiting lecturer during his stay in Japan.
Later on, he moved to Malaysia after getting the opportunity to work as a senior lecturer in Universiti Kuala-Lumpur, Malaysian Institute of Marine Engineering Technology (UniKL-MIMET). Currently he also acts as a reviewer for well renowned journals. His research interests include Ship Manoeuvring, Intelligent Control, Optimisation, Naval Architecture, Ship Hydrodynamics, CFD and renewable energy.
- Ship berthing using ANN controller
- Minimum time ship manoeuvring
- Waypoint controller for navigation
- Ship manoeuvring prediction model
- Ship resistance and propulsion
- Ship’s Hydrostatics and dynamics
- Seakeeping and manoeuvring
- Numerical Methods
- Matlab software
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Automatic Ship Berthing using Artificial Neural Network Trained by Consistent Teaching Data using Nonlinear Programming Method. Journal of Engineering Applications of Artificial Intelligence, vol. 26, issue 10, pp.2287-2304.
Impact Factor: 2.176 (5-years)
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, vol. 9, no. 3, pp. 417-426, 2015.
Publisher: Faculty of Navigation, Gdynia Maritime university, Poland.
Yaseen Adnan Ahmed. Usage of Intelligent Control for Automatic Ship Berthing. Marine Frontier, vol. 7, edition. 1, pp. 60-77, 2016.
Publisher: University Kula-Lumper.
Yaseen Adnan Ahmed. Automatic Tug Assistance. Engineering Applications for New materials and Technologies, vol. 85, pp. 491-503, 2018.
Yaseen Adnan Ahmed. Mathematical Model of Manoeuvring Motion of ship. Engineering Applications for New materials and Technologies, vol. 85, pp. 551-556, 2018.
Peer reviewed Symposium/Conference publications
Yaseen Adnan Ahmed, Mohammad Abdul Hannan, Iwan Zamil Mustaffa Kamal. Minimum Time Ship Manoeuvring in Narrow Waterways under Wind Disturbances. Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering
OMAE 2018. June 17-22, 2018, Madrid, Spain. (On press)
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Fuzzy Reasoned Waypoint Controller for Automatic Ship Guidance. The 10th IFAC Conference on Control Applications in Marine Systems (CAMS’16). Trondheim, Norway.
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Artificial Neural Network based Automatic Ship Berthing Combining PD Controller Side Thrusters. The 13thInternational Conference on Control, Automation, Robotics and Vision (ICARCV’14), pp.1304-1309.Singapore, 2014.
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Experiment Results for Automatic Ship berthing using Artificial Neural Network Based Controller. The 19thWorld Congress of International Federation of Automatic Control (IFAC’14), pp. 2658-2663. Cape Town, South Africa, 2014.
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Implementation of Automatic Ship Berthing using Artificial Neural Network for Free Running Experiment. The 9th IFAC Conference on Control Applications in Marine Systems (CAMS’13),pp. 25-30. Osaka, Japan, 2013.
Kazuhiko Hasegawa, K G Oh, Yaseen Adnan Ahmed. Ship Manoeuvring Behaviour in Crossing Current. 3rd International Conference on Ship Manoeuvring in Shallow and Confined Water (ICSMSCW), pp.301-307. Ghent, Belgium, 2013.
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Automatic Ship Berthing using Artificial Neural Network Based on Virtual Window Concept. Proceedings of the 13th IFAC Symposium on Control in Transportation Systems (CTS’12), pp.359-364. Sofia, Bulgaria, 2012.
Yaseen Adnan Ahmed, Kazuhiko Hasegawa. Automatic Ship Berthing Experiment using Artificial Neural Network Based on Virtual Window Concept. The 16th Academic Exchange Seminar between Osaka University and Shanghai Jiao Tong University, 2013.
Other skills and expertise:
- Trained for outcome-based education.
- Trained for blended learning system.
- Optimization for ship manoeuvring.
- Artificial Neural Network Controller for minimum time ship manoeuvring.