INTEGRATING ENGINEERING DISCIPLINES TO MEET THE REQUIREMENTS OF THE NEXT CENTURY: THE CASE OF BIOMECHATRONICS Erol İnelmen Education Faculty, Boğaziçi University, İstanbul, Turkey ABSTRACT We are all witnessing very important changes in our economical and social due to rapid development of technology. Engineering education must come to terms with these changes and new methods of learning are being now suggested. A more holistic approach to knowledge acquisition and the integration of all engineering disciplines is seen as the new approach to educating students to meet the requirements of the next century. Biomechatronics –a new discipline that effectively integrates the knowledge from electronics, mechanics, computer and medicine- is a typical example of how engineering is being now transformed in theory and practice. This paper presents the experience gained while teaching students the basic foundations of biomechatronics in a project centered approach to learning. INTRODUCTION A report prepared by the American Society for Engineering Education and published in the year 1962 pinpoints the issues that are crucial in enhancing the quality of education. A warning is made on how "all too often students view their curriculum as a sequence of compartmentalized courses and fail to see how the material covered in the various courses is interrelated". The author as an academician and practicioner of the engineering profession -for more than three decades now- has been always puzzled by the fact that "an integrative approach” for the engineering education is still very low in the agenda of many distinguished institutions (Yetiş and İnelmen, 1997). In search for a practical solution to the problem of integration in the engineering education, the author reviewed the papers published by the former Dean of Engineering in the Engineering Faculty of Boğaziçi University (Turkey). These publications suggest the means for a more integrated curriculum using a "project centred learning" approach in education. Paradoxically these recommendations have not been implemented as yet. To our knowledge only Drexel University can be shown as a showcase, where integration is high in the agenda of the administrations' strategic plans. In this university as well as in the Marmara University in Turkey, attempts made on finding better ways to teach engineering are bearing fruits. As a consequence an agreement to cooperate in making the curriculum more attractive is reached. As the economical conditions in the world change, the graduates find themselves coping with altogether foreign problems. While promoting the teaching the art of applying scientific tools to problems that require the use of natural resources for the convenience of men, an education system should develop the ability of self learning in the suggested "common fields of activities" (Kaynak and Sabanoviç, 1994). Unfortunately the fact that textbooks are written along disciplinary lines, the need to brake these barriers is blocked. The gradual removal of barriers can be accomplished by gearing all the available resources to a reduced number of basic headings (Yerlici, 1993) An integrative approach to learning requires that all human knowledge from the atom to the universe be encompassed under one single umbrella (Krauskoft and Bleiser, 1991). With the advent of the new science of Mechatronics this search has become even more challenging (Kaynak, 1996). The Biomedical Engineering Institute based in the Boğaziçi University has been in full operation since two decades now, suggesting the idea that biomedical sciences can be also integrated in this emerging field under the common name of Biomechatronics. As expressed very eloquently by the President of Tokyo Metropolitan Institute of Technology Dr. Funio Harashima (1999), in the next century we will see an even broader use of this new science (see Fig. 1). CASE STUDY Since the foundation of the the Boğaziçi University first research centre in the early 60’s (Tanyolaç, 1965), the author has been able to follow the development in medical engineering research that has culminated with the creation of the Biomedical Engineering Institute. The institute now hosts also the headquarters of the UNESCO Regional Centre. Eager to reconcile research work with education (İnelmen, 1997a) the author was prompted to make a survey on recent developments in the field of medical diagnosis and treatment, hoping that the results could provide a roadmap for new educational programs as the ones that are planned for the next century. The first example of this new approach can be seen in İnelmen (1997b). Following a recent publication in the newly launched IEEE Transaction on Information Technology in Biomedicine (Laxminarayan et al., 1997) we believe that informational technology is changing dramatically the way we live. Medical care is taken a new turn as we approach the new millenium. Health –an important factor in the development of a nation- will be enhanced by the use of new hardware and software. These recent developments make possible the use of research work in the classroom and the medical care units. It is suggested that virtualy reality is a “nascent technology” that will have an increasing impact on the way medical practice will evolve in the coming future (Onaral, 1995). The recent research work (Ekşi, 1997) aimed at enhancing the method of visualization of brain data obtained from CT and MRI techniques was the starting point for the survey. Medical care staff require a sound and time effective method of analyzing large quantities of data in order to decide the next steps to be taken in the treatment of patients. This phase of the medical practice can be simplified by the using of neural networks (Özkan et al., 1993). Within the frame of this research the author was requested to implement a 3D visualization technique using “computer aided design” software available in the market. Using this software it is possible to use scanned data having up to 256 color grades representing different tissue. Data is converted in 3-D voxels that can be rotated and separated according to color (İnelmen, 1998a). Minimal invasion surgery (MIS) is receiving increasing attention in the medical and engineering research circles. By reducing to a minimum the amount of surgery required, operation costs, the damage to the adjacent healthy tissue and rehabilitation time for the patient have been considerably reduced. This new development requires the use of more sophisticated image rendering techniques, improved planning procedures and complex medical equipment. Integrating these three requirements in a comprehensive automatic surgery system represents a new challenge in intelligent system design. We strongly believe that integrating current work in different areas of medical engineering – nervous, sensory, cardiovascular, gastrointestinal and tissue subsystems- will help in enhancing future research work. The survey made on non-invasive techniques in diagnosis and treatment, show encouraging prospects in enhancing medical and health care equipment. The developments in the newly emerging technologies and research work in the field of mechatronics and communication will make the virtual hospital a reality (Fig. 2). The work summarized in the previous paragraphs show that there is a urgent need in taking a more holistic approach to engineering education. Universities should be able play a key role in securing that on one hand educational and research go hand in hand and graduates can cope with the requirements of industry and government (İnelmen, 1996). Recently we are observing that the three parties involved in technological development –namely university, industry and government- are ever more competing in the fields of research and education. This new phenomema is compared with the formation of “three helix” structure. We offer here a possible scheme of integration of “hard” knowledge such as ecology, technology, medicine and defence with the “soft” knowledge we encounter in the disciplines of sociology, economics, politics, law, literature, art, education and philosophy. FINDINGS A direct consequence of recent technological developments, automatic surgery has been enhanced with the introduction of more intelligent perception, reasoning and execution subsystems. The perception subsytem should be able to identify objects, build maps, monitor change and understand behaviour; the reasoning subsystem should learn the given task, generate rules, predict events and make decisions and the execution subsytems should calculate workload, describe dynamics, generate path and report conditions. Findings can be summarized as follows: Data acquisition must have a higher degree of intelligence in order to fuse data coming from different sources and develop a selective process to reduce the processing time. Intelligent agents must recognize the environment where they operate, cope with unexpected conditions that may come forward during navigation. Design of complex systems having high degree of intelligence is only possible with the closer cooperation of experts from different fields. In the future “a repository of automatic surgery cases” can generate a knowledge base from where medical staff can pool out previous experience using a case-based-reasoning tools. The science of mechatronics, which is emerging as a a new technology with the ability of integrating several disciplines has opened new fields for research, biomechatronics being one of the most recent spin-offs. We have the right to expect that medical devices developed in the future, will be even more effective that the ones we are using today. CONCLUSION We would like to see the implementation of a “one research topic” common to all members of the staff and student body as has been implemented in the Santa Fe Institute. As was recently reported by one of the members of the staff of this institute, “adaptive complex systems” is the major topic of interest of all the researchers working there. Rarely a member of this institute continues on working for more than five year, a limit impossed by the contact (İnelmen, 1998b). REFERENCES 1. Ekşi, D.:1997, Sterotactical guidance system, M.Sc. Thesis, Institute of Biomedical Engineering, Boğaziçi University, Bebek, İstanbul. 2. Harashima, F.:1999, Mechatronics and control technology toward 21st century, Sabanci University Seminars. 3. İnelmen, E.:1996, The role of the third sector in enhancing university, industry and goverment collaboration: a case study”, UnIG’96, International Conference on Technology Management: University/Industry/Goverment Collaboration, UNESCO Chair on Mechatronics, Boğaziçi University, İstanbul, 554-558. 4. İnelmen, E.:1997a, Reconciling engineering research and educational activities: a case study, V. Yerlici – Engineering and Education, G. Aşkar-Altay Ed., İstanbul, 325-334. 5. İnelmen, E.:1997b, Teaching automatic control in a junior college: a case study, ACE’97, The 4th Symposium on Advances in Control Education, IFAC, Istanbul, 185-188. 6. İnelmen, E.:1998a, Implementing an intelligent system in a variable 3D occluded environment, 2nd International Symposium on Intelligent Manufacturing Systems, Sakarya University, Sakarya, 427-436. 7. İnelmen, E.:1998b, Experience gained from using research as a means of enhancing higher education, Fred Emery Memorial Conference, Sabanci University, İstanbul, (in print). 8. Kaynak M.O. and Sabonoviç, A.:1994, Diffusion of new technologies through appropriate education and training, presented at the Diffusion of New Technologies Conference, St. Petersburg, June 13-17, 1994. 9. Kaynak, M.O.:1996, The age of mechatronics (Guest Editorial), IEEE Transactions on Industrial Electronics, 43:1, 2-3. 10. Krauskopf, K.B. and Bleiser, A.:1991, The physical universe, McGrawHill, N.Y., 225228. 11. Laxminarayan, S.N., Coatrieux, J.L., Roux, C., Finkelstein, S.M., Sahakian, A.V. and Blanchard, S.M.:1997, Biomedical information technology: medicine and health care in the digital future, IEEE Transaction on Information Technology in Biomedicine, 1:1 1-7. 12. Onaral, B.:1995, Future directions: biomedical signal processing and networked multimedia communications, in The Biomedical Engineering Handbook, J.B Bronzino,Ed. CRC Press and IEEE Press, 947. 13. Özkan, M., Dawant, M. and Maciunas, R.J.:1993, “Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study, IEEE Transactions on Medical Imaging, 12: 3, 534-544. 14. Tanyolaç, N.:1965, The electro-odocell for odor measurement and surface effects, in Surface Effects in Detection by Bregman & Dravnicks, Spartan Books, Inc. 15. Yerlici, V.:1993, The place of teaching and research in engineering education, Ingenieur Pedagogik Brücke Zwischen Lehre and Forshung, A.Melezinek, G. Kurz (eds.), Leuchtturm-Verlag, 297-300. 16. Yetiş, N. and İnelmen, E.:1997, Enhancing engineering education to meet the needs of the next century, Portland International Conference on the Management of Enginnering and Technology’97, Portland, Oregon, 286.