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Program

Short Courses

This year in Tokyo, we are pleased to offer four thoughtfully curated short courses designed to support your professional growth. We encourage you to reserve your seat in the course that aligns best with your goals. Please note that courses with low enrollment may be subject to cancellation. Should that occur, ASME will be delighted to assist you in selecting an alternate course.

 

Saturday, June 6 | 2026
8:00am - 12:00pm


Instructor: Yasuo Ichinose

Course Description: Ship design is an extremely complex task that requires experience in satisfying various valuation functions and indices at the same time. In order to produce a good ship on-hand in a short lead time without rework, the design process needs to be efficient, and new technologies such as AI need to be introduced. In this class, past and future technologies for ship design and construction will be introduced.

Learning and Educational Objectives:

  1. Cultivation and breadth of vision
  2. Multi-faceted comprehension
  3. Ability to categorize and develop
  4. Ability to abstract
  5. Embodiment
  6. Perspective and evaluation
  7. Communicative ability

 

 

Sunday, June 7 |2026
8:00am - 12:00pm


Instructor: Rajeev Jaiman

Course Description: This course focuses on the integration of mechanics and dynamical systems with machine learning (ML) via data-driven modeling and physics-based ML (PBML). The course begins with a review of calculus, linear algebra, regression analysis and various statistical methods. In the first part, prominent reduced-order models and model reductions techniques for physical systems will be systematically covered via coding examples. It is known that general-purpose black-box ML techniques do not perform well beyond the data they are being trained, and they lack physical interpretability and reliability for engineering applications. To address these issues, this course will introduce hybrid physics-based ML techniques using a variety of neural network architectures. New developments pertaining to physics-based ML techniques and software development will be taught using examples from diverse marine/offshore engineering applications.

Sunday, June 7 | 2026
1:00pm - 5:00pm


Instructor(s):

  • Widar Wang
  • Hans Bihs
  • Kelley Ruehl

Course Description: This course reviews several considerations related to the design and siting of OE technologies and introduces numerical modeling tools. Fundamentals of hydrodynamics and metocean conditions are introduced and applied to the study of OE technologies, both from a siting and performance perspective. The course also covers background and practical considerations for OE design, an introduction to numerical methods, and applications of open-source software.

Saturday, June 6 | 2026
1:00pm - 5:00pm


Instructor: Jack Jorgensen

Course Description: Understanding the behaviour of subsea cables on the seabed is critical for the safe, robust, and cost-effective design & operation of offshore wind farms, power transmission infrastructure, and global telecommunications networks. In particular, understanding cable On-Bottom Stability (OBS) influences decisions for cable selection, installation planning, and lifetime operation. Prevailing design practice has inherited legacy engineering methods from the offshore oil & gas industry, generally developed to understand the behaviour of subsea pipelines. Whilst a useful basis, these legacy methods do not appropriately capture phenomena that influence cable OBS analysis. Such phenomena include boundary layer effects, breaking wave effects, cable bundle behaviour for HVDC cables, and cable response under high Keulegan-Carpenter (KC) number. Cable-seabed interaction also proves practically important for many of the sites onto which OWF subsea cables are being installed, where mobile seabeds (STABLEpipe method) and rocky seabeds (COREstab method) need to be addressed. Practical tools are available on the market that now consider these cable specific and seabed-related effects. Furthermore, cable behaviour directly impacts interfaces with subsea structures for offshore wind farms, including turbine foundations and offshore substations, where cable OBS behaviour can lead to risks for cable integrity.