La implementación de contenidos sobre diseño universal en ingeniería informática y arquitectura en España

All scholars know that preparing a manuscript of new research work for scholarly publication is a lot of work. Shepherding a submitted manuscript to its eventual publication among meritorious peers in JMD is also a lot of work. This shepherding, formally referred to as the publication process, happens only because of the untiring volunteer efforts of the JMD Editorial Board. The Board consists of the (Technical) Editor and Associate Editors. The Editor serves for five years, and the Associate Editors for three years with the possibility for one time renewal. All appointments must be approved by the ASME Design Engineering Executive Committee and the ASME Publications Committee.The JMD publication process follows closely the society guidelines of ASME, summarized here.1A manuscript or other work is submitted to the journal.2The Editor reads the work and determines if it is appropriate and worthy of review.3The Editor assigns the work to an Associate Editor, who oversees the review process.4The Associate Editor assigns the work to qualified reviewers.5The work is reviewed in accordance with ASME standards and requirements.6Based on the reviews, the Associate Editor makes a recommendation to the Editor, who makes the final determination of acceptance or rejection.7Accepted works are processed for publication; rejected works are returned to the authors.The primary responsibility of the Editor is to oversee the technical content and operation of the journal. In overseeing the technical content, the Editor is responsible fordetermining acceptance or rejection of all materials considered for publication;managing the Associate Editors and overseeing their roles and responsibilities in coordinating the review process;maintaining commitment to standards of high quality;enrolling and maintaining qualified reviewers to consistently contribute and support the journal by judging the technical merit of potential material;maintaining the health of the journal and inspire new growth;maintaining technical currency in the overall journal subject matter.In overseeing the operation of the journal, the Editor is responsible forencouraging and supporting the Associate Editors;nominating potential Associate Editors to the Publications Committee for approval;cooperating with the ASME Technical Publishing Department staff to ensure timely publication of journal issues and implementation of state-of-the-art technologies in the production process;staying current with publishing technologies to assist and support authors, Associate Editors, and reviewers;overseeing the management of the editorial office and related journal administrative functions;participating in meetings and activities of the Board of Editors.The primary responsibility of the Associate Editor is to oversee the peer review process of the technical works assigned. Associate Editors are responsible forenrolling and maintaining qualified reviewers to consistently contribute and support the journal by judging the technical merit of potential material;ensuring the review is completed in a timely manner and in accordance with Society policy and standards;recommending acceptance or rejection of all materials considered for publication to the journal Editor;maintaining active communication with authors and reviewers during the peer review process;ensuring authors address review comments and prepare and complete their work in accordance with Society guidelines and standards;maintaining commitment to standards of high quality;assisting and supporting the Editor in maintaining the health of the journal and inspiring new growth;maintaining technical currency in the overall journal subject matter and in a personal specialty area;staying current with publishing technologies to assist and support authors;cooperating with the ASME Technical Publishing Department staff to ensure timely publication of journal issues and implementation of state-of-the-art technologies in the production process.As a design educator, I am fond of checklists. It is the simplest way to get you to think in a focused way without limiting you. The checklists above provide daily guidance to all of us on the JMD Editorial Board, as we strive to serve our community. The list below provides names and short biographies of the current members of the JMD Editorial Board, and two associate editors who just completed their second term of service: Shapour Azarm and Larry Howell. You can follow editorial board composition changes in www.asmejmd.org.On behalf of our community, I would like to thank all of our associate editors, past, present, and future, for their selfless, competent service.Panos Y. Papalambros, Ph.D., P.E., is the Donald C. Graham Professor of Engineering and Professor of Mechanical Engineering at the University of Michigan, Ann Arbor. He also holds faculty appointments in the College of Architecture and Urban Planning, and the School of Art and Design. He holds a diploma in mechanical and electrical engineering from the National Technical University of Athens, and M.S. and Ph.D. degrees in mechanical engineering from Stanford University. He has co-authored the textbook Principles of Optimal Design: Modeling and Computation (1988, 2000). He is a Fellow of ASME and SAE, and recipient of the JSME Systems and Design Achievement Award, ASME Design Automation, ASME Machine Design, and ASME Spira Outstanding Design Educator Awards. Areas of interest: design optimization, design scienceJanet K. Allen, Ph.D., is Professor of Mechanical Engineering in the George W. Woodruff School of Mechanical Engineering at Georgia Tech Savannah. She received her S.B. degree from the Massachusetts Institute of Technology and her Ph.D. from the University of California, Berkeley. She is a Fellow of the American Society of Mechanical Engineers, a Senior Member of the American Institute of Aeronautics and Astronautics and an Honorary Member of Pi Tau Sigma, the mechanical engineering honor society. Areas of interest: systems design, robust design, intellectual foundations of design Email: janet.allen@me.gatech.eduDiann Brei, Ph.D., is an Associate Professor in the Mechanical Engineering Department at the University of Michigan, Ann Arbor. She received her BSE degree in Computer Systems Engineering and her Ph.D. degree in Mechanical Engineering from Arizona State University. She co-directs the General Motors/University of Michigan Smart Materials and Structures Collaborative Research Laboratory. She is currently the Technical Chair of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems. She serves on the ASME Adaptive Structures and Material Systems Technical Committee and has been the chair of the AIAA Adaptive Structures Technical Committee. She has over 90 publications in the area of Smart Material Device Innovation with several best paper awards and is a holder of 3 US patents. She is an AIAA Associate Fellow and recipient of the Hartwell Award, UM Ruth and Joel Spira Outstanding Teaching Award, and National Multiple Scierosis Society Da Vinci Award. Areas of Interest: device innovation, smart materials and structures, actuationJonathan Cagan, Ph.D., P.E., is the George Tallman and Florence Barrett Ladd Professor in Engineering, in the Department of Mechanical Engineering at Carnegie Mellon University, with appointments in the School of Design and Computer Science. At Carnegie Mellon, Cagan co-directs the Master in Product Development program and co-directs the Center for Product Strategy and Innovation. He is the co-author of Creating Breakthrough Products (with Craig Vogel) and The Design of Things to Come (with Craig Vogel and Peter Boatwright), and the co-editor of Formal Engineering Design Synthesis (with Erik Antonsson). He is the recipient of the engineering college's Outstanding Research Award. Cagan is a Fellow of the American Society of Mechanical Engineers and serves on the Advisory Board for The Design Society. Dr. Cagan received his Bachelor of Science in 1983 and Master of Science in 1985 from the University of Rochester, and his Ph.D. in 1990 from the University of California at Berkeley. All of his degrees are in Mechanical Engineering. Areas of interest: product development, computational innovation, cognitive-based engineeringThomas R. Chase is a Professor and Morse-Alumni Distinguished Teaching Professor of Mechanical Engineering at the University of Minnesota. Dr. Chase received his Ph.D. from the University of Minnesota in 1984. He chaired the Design Engineering Division in 2002–2003, the Mechanisms Committee in 1993–1994, and the Design Engineering Technical Conferences in 1994. Areas of interest: mechanism synthesis, machine element design, hydraulics, the design of apparatus for high energy physics experiments, database design for computer aided engineeringMary Frecker is a Professor of Mechanical Engineering at the Pennsylvania State University. She has a B.S. from the University of Dayton, and an M.S. and Ph.D. in Mechanical Engineering from the University of Michigan. When she joined Penn State in 1997, she was awarded the Pearce Endowed Development Professorship in Mechanical Engineering. Dr. Frecker has also been awarded the GM/Freudenstein Young Investigator Award by the ASME Mechanisms Committee (2002), the Outstanding Advising Award by the Penn State Engineering Society (2002), and the Outstanding Research Award by the Penn State Engineering Society (2005). She is a Fellow of the ASME. Dr. Frecker is an Associate Editor of the ASME Journal of Mechanical Design, and serves as Chair of the ASME Adaptive Structures Technical Committee. She is also a member of the ASME Mechanisms Committee. Areas of interest: compliant mechanism design, medical device design, smart structuresJohn K. Gershenson, Ph.D., is a Professor of Mechanical Engineering at Michigan Technological University and the director of the Product and Process Architecture Alignment Center and heads the center's Life-cycle Engineering Laboratory. He also is the department's Manufacturing/Industrial Area Director. Dr. Gershenson is a graduate of Cornell University and The Ohio State University and holds a doctorate in Mechanical Engineering from the University of Idaho. Areas of interest: product family design, product platforms, modular product design, assembly systems platforming, lean engineering, life-cycle design, lean manufacturing, and systems design for the environmentAshitava Ghosal is a Professor of Mechanical Engineering and the Centre for Product Design and Manufacture at the Indian Institute of Science, Bangalore. He obtained B.Tech, M.S., and Ph.D. degrees in mechanical engineering from the Indian Institute of Technology at Kanpur, University of Florida at Gainesville, and Stanford University, respectively. Prior to joining Indian Institute of Science, Bangalore he had research appointments at Carnegie Mellon University and at Integrated Systems, Inc., Santa Clara. He is interested in various aspects of robotics and multi-body mechanical systems, design of mechanical systems, and product design, and has published over 70 papers in international journals, conference proceedings, and workshops. He has authored the textbook Robotics: Fundamental Concepts and Analysis (Oxford University Press, 2006). More details on his research and other activities are available at http://www.mecheng.iisc.ernet.in/~asitava Areas of interest: robotics and product design Email: ashitava@asmejmd.orgJeffrey W. Herrmann is an associate professor at the University of Maryland, where he holds a joint appointment with the Department of Mechanical Engineering and the Institute for Systems Research. He is the director of the Computer Integrated Manufacturing Laboratory and Associate Director for the University of Maryland Quality Enhancement Systems and Teams (QUEST) Honors Fellows Program. He is a member of INFORMS, ASME, IIE, SME, and ASEE. He was the chair of the ASME Design for Manufacturing Technical Committee. Dr. Herrmann earned his B.S. in applied mathematics from Georgia Institute of Technology. As a National Science Foundation Graduate Research Fellow from 1990–1993, he received his Ph.D. in industrial and systems engineering from the University of Florida. Areas of interest: engineering design decision-making, design optimization, design for manufacturing, operations researchYan Jin is a Professor of Aerospace & Mechanical Engineering at University of Southern California and Director of USC IMPACT Laboratory. He received his Ph.D. degree in Naval Architecture and Ocean Engineering from the University of Tokyo. Prior to joining the USC faculty in 1996, he worked as a Post-doctoral Research Fellow at the University of Tokyo and as a Senior Research Scientist at Stanford University. He is the recipient of a National Science Foundation CAREER Award (1998), TRW Excellence in Teaching Award (2001), Best Paper in Human Information Systems (5th World Multi-Conference on Systemics, Cybernetics and Informatics, 2001), and Xerox Best Paper Award (ASME International Conference on Design Theory and Methodology, 2002). He is currently an Editorial Board member of International Journal of AI in Engineering Design, Analysis, and Manufacturing (AIEDAM) and International Journal of Advanced Engineering Informatics. He also served as Conference Chair and Program Chair of the ASME Design Theory and Methodology (DTM) Conferences, and Vice Chair of the DTM Committee. Areas of interest: design cognition, conceptual design method and technology, self-organizing and complex systems, and engineering collaborationPierre M. Larochelle, Ph.D., P.E., is the Assistant Dean for Academics & Accreditation and Professor of Mechanical Engineering at the Florida Institute of Technology. At Florida Tech he is the founder and director of the Robotics and Spatial Systems Laboratory (RASSL). He received his Bachelors of Science in Mechanical Engineering from the University of California at San Diego (1989), and his Masters of Science (1991) and Ph.D. (1994) degrees in Mechanical Engineering from the University of California at Irvine. He has over 100 publications, is the holder of one US patent, and has served as a consultant to a number of companies in the areas of robotics, automation, machine design, and computer-aided design. He is a Fellow of ASME and a recipient of the MDI Mechanical Simulation Software Award. Areas of interest: kinematics, robotics, mechanisms, machines, and design of robotic mechanical systemsZissimos P. Mourelatos, Ph.D., is a Professor of Mechanical Engineering at Oakland University in Rochester, MI. Before joining Oakland University, he spent 18 years at the General Motors Research and Development (GM R&D) Center. He holds a diploma in Marine Engineering and Mechanical Engineering from the National Technical University of Athens, Greece, two M.S. degrees (Naval Architecture and Marine Engineering, and Mechanical Engineering) from The University of Michigan, and a Ph.D. degree (Naval Architecture and Marine Engineering) from The University of Michigan. He is active in the dynamics and vibrations as well as design automation communities. Dr. Mourelatos has published over 110 journal and conference publications in the areas of design under uncertainty and structural dynamics. He is the Editor-in-Chief of the International Journal of Reliability and Safety, an Associate Editor of the ASME Journal of Mechanical Design, and a SAE Fellow. Areas of interest: design under uncertainty, probabilistic and non-probabilistic uncertainty theories, structural dynamicsKarthik Ramani is a Professor in the School of Mechanical Engineering and of Electrical and Computer Engineering (by Courtesy) at Purdue University. He earned his B.Tech from the Indian Institute of Technology, Madras, in 1985, an M.S. from The Ohio State University, in 1987, and a Ph.D. from Stanford University in 1991, all in Mechanical Engineering. He has been recognized by Purdue University through a University Faculty Scholars Award (2002), Discovery in Mechanical Engineering Award (2005), Research Excellence Award throughout the College of Engineering at Purdue University in 2007. He serves in the editorial board of Elsevier Journal of Computer-Aided Design. He is also serving on the Engineering Advisory Board for the National Science Foundation (Industrial Innovation and Partnerships) for 2007–2010. He also serves as the technology-business advisor at Imaginestics, that launched the world's first commercial on-line shape-based search engine for the manufacturing supply chain. https://engineering.purdue.edu/~ramani/ Areas of interest: digital and computational geometry, shape design and analysis, shape and ontology search, computational tools for early design innovationJosé M. Rico, Ph.D., is an Associate Professor in the Department of Mechanical Engineering at the Institute of Technology at Celaya. He received a B.S. degree from the Calaya Institute of Technology in 1975 and a Masters from the Monterrey Institute of Technology and Higher Education in 1977, both in Mechanical Engineering. Since his retirement in 2005, he is affiliated with the Department of Mechanical Engineering at Guanajuato, Campus Irapuato-Salamanca. He has been a visiting scholar at the University of Florida, Arizona State University, University of California-Davis, and the French Institute of Advanced Mechanics under the sponsorship of Professor Joseph Duffy, Professor Joseph K. Davidson, Professor Bahram Ravani, and Professor Grigore Gogu, respectively. He has been author or co-author of 40 papers in archival journals and 60 papers in conferences and has been an ASME member since 1975. Areas of interest: theoretical and computational kinematics and applied mathematicsJames P. Schmiedeler, Ph.D., is an Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. He received a B.S. degree from the University of Notre Dame and M.S. and Ph.D. degrees from The Ohio State University, all in mechanical engineering. He was previously an Assistant Professor at the University of Iowa (2002–2003) and at The Ohio State University (2003–2008). In 2002, he was a summer faculty research fellow at NASA's Jet Propulsion Laboratory in Pasadena, CA, and in 2007, he was awarded the Presidential Early Career Award for Scientists and Engineers (PECASE) for his work in modeling human motor coordination and robot-assisted rehabilitation. Areas of interest: machine design, robotics, biomechanicsTimothy W. Simpson, Ph.D., is a Professor of Mechanical and Industrial Engineering at the Pennsylvania State University in University Park, PA. He also holds faculty appointments in the School of Engineering Design, Technology, and Professional Programs and the College of Information Sciences and Technology. He received a B.S. degree in mechanical engineering from Cornell University and M.S. and Ph.D. degrees in mechanical engineering from the Georgia Institute of Technology. He is the lead editor on the book Product Family and Product Platform Design: Methods and Applications (2005). He is an Associate Fellow of AIAA and is active in ASME and ASEE. He is the recipient of a NSF Career Award, SAE Ralph R. Teetor Educational Award, AIAA Multidisciplinary Design Optimization Technical Committee Outstanding Service Award, and the Pennsylvania State University President's Award for Excellence in Academic Integration. Areas of interest: product family design, product platforms, metamodeling, visualizationAvinash Singh, Ph.D., is a Senior Staff Engineer in the Advanced Power Transfer Group of GM Powertrain, General Motors Corporation. He received his B.Tech. degree from the Institute of Technology, BHU, India in 1990, and his M.S. and Ph.D. degrees in Mechanical Engineering from the Ohio State University in 1992 and 1997. Dr. Singh works on power transmission component technology and his research interests are in the areas of gear system design and analysis, gear system dynamics and noise, development and validation of high fidelity models, power losses, rotating system diagnostics, and fatigue life prediction. He currently serves as the Vice Chair of the ASME Power Transmission and Gearing committee of the DED. Areas of interest: transmission component design and analysis, model development and validationAlexander H. Slocum is the Pappalardo Professor of Mechanical Engineering at MIT. Alex has written two books on machine design, Precision Machine Design and FUNdaMENTALs of Design (free download on http://pergatory.mit.edu), published more than 150 papers, and has over seven dozen patents issued or pending. Alex regularly works with companies on the development of new products and has been significantly involved with the invention and development of 11 products that have been awarded R&D 100 awards. Alex is a Fellow of the ASME and the recipient of the Society of Manufacturing Engineer's Frederick W. Taylor Research Medal, ASME Leonardo daVinci Award, and the ASME Machine Design Award. Areas of interest: machine elements, precision machine design, MEMsJanis Terpenny, Ph.D., is an Associate Professor of Engineering Education and Mechanical Engineering and an affiliate faculty of Industrial and Systems Engineering at Virginia Tech. She is the Director of the Center for e-Design, a five-university NSF industry/university cooperative research center. She is an Advance Professor and Diggs Teaching Scholar at Virginia Tech and a Dean's Faculty Fellow in the College of Engineering. Formerly, she was an assistant professor at the University of Massachusetts Amherst and has prior industrial work experience with General Electric (GE) Corporation, including the completion of a two-year corporate management program. She received her B.S. degree in Applied Mathematics from Virginia Commonwealth University (1979). She earned her M.S. degree in Industrial Engineering and Operations Research (1981) and Ph.D. degree in Industrial and Systems Engineering (1996) from Virginia Tech. She is a member of ASME, ASEE, and senior member of IIE. Areas of interest: design process and methods, knowledge engineering, product families and platforms, product obsolescence, student learning and engagement related to design educationKwun-Lon Ting is a Professor of Center for Manufacturing Research and Mechanical Engineering Department at Tennessee Tech University. He has a B.S. degree from National Taiwan University, an M.S. degree from Clemson University, and a Ph.D. degree from Oklahoma State University. During his tenure at Tennessee Tech, he received eight research grant awards from National Science Foundation, Caplenor Faculty Research Award from the university, and Kinslow Engineering Research Award twice from the engineering college. He was the recipient of the South-Pointing Chariot Award and Bernard Roth Award from Applied Mechanisms and Robotics Conference. He is a Fellow of ASME. Areas of interest: kinematics, mechanisms, robotics, linkage mobility, geometric designPhilippe Velex graduated from INSA Lyon (France) in 1984 with Meng. in Mechanical Engineering. He obtained his Ph.D. from the same establishment in 1988. He was appointed Full Professor of Mechanical Engineering in 1998. He is head of the “Mechanical Systems and Contact” research group of LaMCoS (INSA Lyon) and director of the CETIM-INSA joint laboratory on Mechanical Transmissions. His research topics comprise the analysis of interactions between lubricated contacts and the static and dynamic behavior of mechanical systems. He is also the director of the International English-Speaking Undergraduate Section at INSA Lyon. Areas of interest: gear dynamics, power losses, loads and stresses, lubrication in gearsHong-Sen Yan is an NCKU Chair Professor at the National Cheng Kung University (Tainan, Taiwan) in the Department of Mechanical Engineering. He also serves as the Director of the NCKU Museum. He holds a B.S. degree from the National Cheng Kung University, M.S. degree from the University of Kentucky, and Ph.D. degree from Purdue University, all in mechanical engineering. He is the author of two Springer books, Creative Design of Mechanical Devices (1998) and Reconstruction Designs of Lost Ancient Chinese Machinery (2007). He is a Fellow of ASME, and recipient of ASME Best Paper Award (Mechanism Conference) and National Chair Award (Ministry of Education, Taiwan, ROC). And, he collects ancient Chinese padlocks as a Areas of interest: kinematics, conceptual design of and machines, design of ancient Ph.D., P.E., is a Professor of Mechanical Engineering at the University of Maryland College He holds a faculty appointment with the Applied Mathematics and Computation Program at He has M.S., and Ph.D. all in mechanical engineering, from the University of George University, and the University of Michigan, respectively. He is the chair of the ASME Design Design and Design Engineering He is the recipient of the Design Award. He is a Fellow of ASME. Areas of interest: optimization, optimization, analysis, Ph.D., P.E., is a Professor and chair of the Department of Mechanical Engineering at Young University where he holds a University Professor received his B.S. degree from Young University and his M.S. and Ph.D. degrees from Purdue University. Prior to joining in he was a visiting professor at Purdue University, a element analysis consultant for Engineering Inc., and an on the design of the for the He is a Fellow of ASME and chair of the ASME Mechanisms & Robotics Committee. Professor patents and technical publications on compliant and systems. He is the author of the book Mechanisms published by Areas of interest: compliant mechanisms, systems design

With the introduction of the new four-year Degree in Engineering for its integration in the European Higher Education Area (EHEA), the challenge is to adapt existing courses to the requirements of the new curricula. In this work, we report the case of the course of Statistics in the Degree in Computer Engineering at the Polytechnic University of Valencia (UPV), with emphasis on the problems encountered and the proposed solutions.

Building and environmental acoustics in obsolete residential neighbourhoods: The case of San Pablo, Spain

Guest Editorial

Alternative energy technology (AET) is the next revolution in the making. It is needed to maintain world's prosperity and to meet the unlimited demands for energy in the near future. Therefore, graduating engineers, scientists, and specialists in AET is of a growing interest. This paper presents a thorough and complete curriculum for a B.S. degree in Electrical Engineering with concentration in alternative energy technology. This curriculum was developed in response to the State of Michigan request for proposal (next energy) and was submitted in part by Lawrence Technological University to the State of Michigan. The proposed curriculum can also be used for a newly developed B.S. degree in Alternative Energy Technology. Since AET is multi-disciplinary in nature, the new degree encompasses courses in all engineering disciplines including electrical and computer engineering, mechanical engineering, chemical engineering, architecture and civil engineering.

NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results Abstract Computer science and engineering communities have been exploring a variety of activities and techniques to attract and retain more students, especially women and minorities, to computer science and computer engineering degree programs1. This paper briefly describes the efforts and results of a plan for actively recruiting young women into undergraduate computer engineering and computer science programs hosted by the University of North Texas (UNT). It also describes a series of activities aimed at improving the retention rate of students already in our programs, particularly during the freshman year. Such recruitment and retention efforts are critical to the country’s efforts to increase the number of engineering professionals, and are a priority for the Computer Science and Engineering (CSE) Department at UNT. We initially designed a three-part plan to achieve our recruitment and retention goals: • Sponsorship of portable and mobile summer computer engineering robotics camps for middle and high-school women students, coordinating with the regional Girl Scouts councils and other organizations to help with the recruitment; • Creation of an Ambassador program using young women currently enrolled in the upper division of current computer science and computer engineering programs as a form of outreach to area high schools and junior colleges; and • Expansion of our successful undergraduate mentoring program by using the Ambassador cohort mentioned above as mentors for incoming freshman and first-year transfer women entering our programs. This paper will focus primarily on the summer camp program and present an analysis of the results we have seen to date after 2 years of camp activities. Results from student surveys and parent surveys will be presented. The paper concludes with recommended changes and improvements in the program, as well as a discussion of adaptations that would create programs suitable for implementation at other institutions as well as programs aimed at a different target population. The three phases previously enumerated each build upon currently accepted educational practices. The robotics summer camp in particular used problem-based learning approaches, similar to those described in The Power of Problem-Based Learning2. This study clearly demonstrates the significant benefits of teaching students how to think by using a problem-based approach. We also developed a mobile laboratory so that the summer camp can be held at several locations, thus broadening and expanding the reach of the camps to traditionally underserved populations and geographical regions. Similarly, both the ambassador and mentoring programs derive from research showing how the recruitment and retention of women in engineering- related fields can be increased by providing opportunities to develop student-to-student relationships3, 4.

Materials Research at Yonsei University.

Guest Editorial

Purpose Students in higher education are a diverse group comprising people with different backgrounds and abilities. Regulations require that digital learning materials and platforms employed in higher education accommodate this diversity. Furthermore, they require faculty members to have an understanding of universal design and digital accessibility, as well as practical knowledge of how to make learning materials and courses accessible for more students. The goal of this research is to gain insight into the status of such knowledge among faculty members. Methods The research presented in this paper involved a qualitative study. Semi-structured interviews were conducted with 35 faculty members employed in higher education institutions (HEIs) in Norway and Poland. The participants worked in the computer science and engineering disciplines. The data was analysed using thematic analysis, and two main themes and six sub-themes were identified. Results We found that most participants lack sufficient understanding of digital barriers and assistive technologies. Very few were aware of legislation and guidelines related to universal design. Most importantly, the majority lack practical knowledge on how to make digital learning materials and courses accessible. Furthermore, the solutions they propose for addressing the barriers are intuitive and only encompass barriers that are easy to recognise and identify. Conclusion The findings indicate that there is a gap between legislation and implementation in practice when it comes to making digital learning materials accessible in higher education. The lack of knowledge among faculty members shows that training is necessary to increase understanding and practical knowledge, and HEIs should prioritise this in strategies and action plans going forward.

The material covered in a typical Computer Engineering class tends to be heavily focused on a single subject area. Students often struggle to see how different subjects are interrelated or how they can be combined to address a wider range of problems. They generally have to wait until after they have completed subsequent related courses before they are able to put the previously material in context. For example, the concepts students learn in a typical digital logic course usually make more sense when one is taking computer architecture.

An international association advancing the multidisciplinary study of informing systems. Founded in 1998, the Informing Science Institute (ISI) is a global community of academics shaping the future of informing science.

The Master's Degree in Data Science and Computer Engineering has been taught at the University of Granada for the first time during academic year 2014-2015. This master comes from the combination of former masters in Soft Computing and Computer Engineering, but it completely renovates its contents and it provides an opportunity for partnership and collaboration between several research groups with a great potential in the field of Information Technology and Communications (ICT). The proposed Master's Degree trains students as researchers in areas with a high demand for qualified staff and huge social interest, such as the analysis of large amounts of data (big data) or the development of embedded systems and platforms for high-performance computing.

This seminar series is jointly organized by [***World Salon***](https://www.world-salon.com/) and [***Risk Science***](https://www.keaipublishing.com/en/journals/risk-sciences/) Prof. Dr. Martin Eling is Full Professor of Insurance Economics and holds the Chair for Insurance Management at the University of St. Gallen, where he also serves as Director of the Institute of Insurance Economics. His empirical research spans insurance management, mathematics, and economics, focusing in recent years on cyber risk, risk measurement, regulation, digitalization, and systemic vulnerabilities in financial and insurance markets. He earned his doctorate in 2005 at the University of Münster and has held appointments in Ulm and as a visiting professor in the USA, among others. Prof. Eling is a prolific author, advisor, and speaker, widely recognized for his work on the insurability of emerging risks, regulatory frameworks like Solvency II, and the quantitative modeling of risk in interconnected systems. Dr. Petar Jevtic is an Associate Professor in the School of Mathematical and Statistical Sciences at Arizona State University, with affiliations in the Center for Biodiversity Outcomes. He holds a Ph.D. in Economics with specialization in Applied Mathematics and Statistics from the University of Turin, along with degrees in Economics and Computer Science and Engineering from Belgrade. His research spans longevity risk, property casualty insurance, cyber risk, smart contract and autonomous systems risk, and climate‑induced risk. He has published in leading journals, holds patents in cyber risk modeling and pricing, and his work is supported by grants from bodies such as the NSF, DHS, and Society of Actuaries. Amir Ansari is Chief Technology Advisor at Lenovo, where he leads advanced services strategy across EMEA, focusing on AI, Big Data, and cloud-driven transformations for enterprise and public sector clients. With deep expertise in architecting secure, data-centric solutions, Amir has spearheaded initiatives across Smart Cities, Defense, Healthcare, and Education—deploying edge and hybrid cloud strategies that reduce data latency, enforce local data residency, and integrate cybersecurity frameworks such as ISO 27001, NIST, and GDPR. As a trusted advisor to CxOs, Amir has guided organizations in navigating the intersection of innovation and risk, embedding security and compliance into AI, IoT, and edge ecosystems while enabling operational efficiency gains of up to 40%. He is passionate about helping organizations address the rising cyber risks in connected systems by designing resilient architectures that balance agility, compliance, and digital trust. Dr. Yevgeniy Vorobeychik joined Washington University in St. Louis in 2018. He was an assistant professor of computer science and biomedical informatics at Vanderbilt University from 2013 until 2018, and a principal research scientist at Sandia National Laboratories from 2010 until 2013. Between 2008 and 2010 he was a post-doctoral research associate at the University of Pennsylvania Computer and Information Science department. He received a PhD and MSE in Computer Science and Engineering from the University of Michigan and a BS degree in Computer Engineering from Northwestern University. Professor Vorobeychik received an NSF CAREER award in 2017 and was invited to give an IJCAI-16 early career spotlight talk. He was nominated for the 2008 ACM Doctoral Dissertation Award and received honorable mention for the 2008 IFAAMAS Distinguished Dissertation Award. Dr. Linfeng Zhang is an Assistant Professor in the Department of Mathematics at The Ohio State University, specializing in actuarial science and risk analytics. He earned his Ph.D. in Mathematics from the University of Illinois at Urbana–Champaign and is an Associate of the Society of Actuaries. Before joining Ohio State, he served as a Visiting Assistant Professor of Actuarial Science at Drake University and gained industry-oriented research experience at the Critical Infrastructure Resilience Institute, focusing on cyber risk and cyber insurance. His research explores cyber risk, pandemic risk, and privacy risk, with publications in leading journals such as The Geneva Papers on Risk and Insurance, IEEE Transactions on Emerging Topics in Computing, and the Connecticut Insurance Law Journal. He has led and contributed to projects funded by the Society of Actuaries, Fundación MAPFRE, and Cisco, and continues to advance interdisciplinary approaches to risk management and actuarial science.

Cyber-physical systems (CPS) are engineered systems with built-in seamless integration of physical and cyber components. Fundamental developments in sensing, communication, control, and computing technologies endow CPS with flexibility, adaptability, scalability, and robustness. The availability and size of input-output data generated along with the control of CPS bring a unique opportunity for machine learning techniques to advance the theory of dynamical control systems, by learning control rules directly from data. Integration of input-output data into adaptive, robust, predictive, and distributed control policies holds the key to exploiting the potential of learning and optimisation in the CPS designs. There are several challenges related to sampling, transmission, synchronization, as well as associated cyber security when merging contemporary data-based and traditional model-based control techniques for CPS. The overarching goal of this special issue is to bring together innovative developments on the interface between learning, control, and optimisation targeting cyber-physical opportunities emerging from power, transportation, and manufacturing systems. Through a rigorous peer review process, three articles have been accepted, which are summarised below. In the study, "Learning-based distributed adaptive control of heterogeneous multi-agent systems with unknown leader dynamics", the authors develop a distributed adaptive tracking control method for heterogeneous multi-agent systems with unknown leader dynamics in a directed graph. In contrast to the reported leader-following consensus studies, the prior knowledge of the leader is supposed to be cognised by some or all of the followers, the situation that the leader's dynamics are totally unrecognised but can be learned for each individual follower is considered. A data-driven learning algorithm using the system's data is developed to reconstruct the unknown systems matrix. Then, an adaptive distributed dynamic compensator is exploited to provide the leader's state estimation in a directed graph. Afterwards, a dynamic output feedback control law for each agent is projected. Theoretical analysis shows that the proposed algorithms not only ensure that all followers can identify the unknown system matrix but also guarantee that the distributed output leader-following consensus control with heterogeneous dynamics is achieved without any global information. In the study, "Sampled-data synchronisation of singular Markovian jump system (SMJS): application to a DC motor model", the authors consider the sampled-data synchronisation problem for SMJSs subject to aperiodic sampled-data control. Firstly, by constructing mode-dependent one-sided loop-based Lyapunov functional (LBLF) and two-sided LBLF, two different stochastically admissible conditions are suggested for error SMJSs with aperiodic sampled-data. It is guaranteed that the slave system is stochastically synchronised to the master system on the basis of the proposed stochastically admissible conditions. Secondly, two corresponding mode-dependent aperiodic sampled-data controller design approaches are provided for error SMJSs based on two different conditions, respectively. Finally, the validity of these approaches is demonstrated by a DC motor model. It also demonstrated that the two-sided LBLF method possesses a larger upper bound of the sampling period than the one-sided LBLF method. In the study, "Predefined-time distributed event-triggered algorithms for resource allocation", the authors propose a predefined-time distributed algorithm and analyse its convergence by using the Lyapunov stability theory in which the local constraint is ensured by a differential projection operator. Thus, a predefined time is obtained using a time-varying time-based generator. In addition, to reduce the communication consumption between agents, the authors develop a static as well as a dynamic-based event-triggered control scheme, where the information broadcast only occurs at some discrete time instants. Moreover, the three proposed algorithms converge precisely to the global optimal solution. Besides, the Zeno behaviour is excluded in the above static and dynamic event-triggered mechanisms. The guest editors would like to thank the Editor-in-Chief of the IET Cyber-Physical Systems: Theory & Applications, Prof. Shiyan Hu, and the Editorial Office for their great support of our special issue. In addition, we thank all the authors who submitted their quality papers to this special issue, and special thanks go to all anonymous reviewers for their great efforts and time to accomplish their review tasks. Data sharing not applicable. Jian Sun is currently a professor at Beijing Institute of Technology, China. He received the bachelor's degree from the Department of Automation and Electric Engineering, Jilin Institute of Technology, Changchun, China, in 2001, the master's degree from the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences (CAS), Changchun, in 2004, and the Ph.D. degree from the Institute of Automation, CAS, Beijing, China, in 2007. He was a Research Fellow with the Faculty of Advanced Technology, University of Glamorgan, Pontypridd, U.K., from 2008 to 2009. He was a Post-Doctoral Research Fellow with the Beijing Institute of Technology, Beijing, from 2007 to 2010. In 2010, he joined the School of Automation, Beijing Institute of Technology, where he has been a Professor since 2013. His current research interests include networked control systems, time-delay systems, and security of cyber-physical systems. He is also an Editorial Board Member of the IEEE Transactions on Systems, Man, and Cybernetics: Systems, the Journal of Systems Science and Complexity, and Acta Automatica Sinica. Qing-Long Han is Pro Vice-Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology, Melbourne, Australia. He held various academic and management positions at Griffith University and Central Queensland University, Australia. He received the Ph.D. degree in Control Engineering from East China University of Science and Technology in 1997. He has been conducting research in the areas of networked control systems, cyber physical systems, time-delay systems, multi-agent systems, smart grids, offshore structure, unmanned surface vehicles, cyber security, and neural networks. Since 2001, as of 12 August 2021, he has authored or co-authored three hundred and thirty-nine (339) fully-refereed high quality journal articles including one hundred and seventy-six (176) articles in the most prestigious IEEE Transactions, and thirty-seven (37) articles in Automatica. He has also authored or co-authored one hundred and eighty-four (184) international leading conference papers, five (5) monographs, one (1) research-based book chapter, and edited four (4) conference proceedings and ten (10) special issues. His research work has been cited 32,886 times with an h-index of 102, an i10-index of 296 according to Google Scholar. He is a Highly Cited Researcher in the Essential Science Indicator (ESI) field of Engineering (2014–2017), in the ESI Cross-Field (2018) and in both the ESI fields of Engineering and Computer Science (2019–2020) by Clarivate Analytics (Thomson Reuters). He is one of Australia's Top 5 Lifetime Achievers (Research Superstars) in the discipline area of Engineering and Computer Science by The Australian's Research Magazine (2019-2020). He is one of Australia's Top 5 Researchers in Computer Science and Electronics by Guide2Research. He was the recipient of The 2021 M. A. Sargent Medal (the Highest Award of the Electrical College Board of Engineers Australia), The 2020 IEEE Systems, Man, and Cybernetics (SMC) Society Andrew P. Sage Best Transactions Paper Award, The 2020 IEEE Transactions on Industrial Informatics Outstanding Paper Award, and The 2019 IEEE SMC Society Andrew P. Sage Best Transactions Paper Award. He was the recipient of The 2020 IEEE SMC Society Best Associate Editor Award and The 2020 IEEE/CAA Journal of Automatica Sinica Outstanding Associate Editor Award. Professor Han is a Member of the Academia Europaea (The Academy of Europe). He is a Fellow of The Institute of Electrical and Electronic Engineers (IEEE) and a Fellow of The Institution of Engineers Australia. He has served as an AdCom Member of IEEE Industrial Electronics Society (IES), a Member of IEEE IES Fellows Committee, and Chair of IEEE IES Technical Committee on Network-based Control Systems. He has served as Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics (2022–2024), Co-Editor of Australian Journal of Electrical & Electronics Engineering, an Associate Editor for 12 international journals including IEEE Transactions on Cybernetics, IEEE Industrial Electronics Magazine, IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, Information Sciences, and a Guest Editor for 13 Special Issues. Guo-Ping Liu is currently a chair professor with the Southern University of Science and Technology, China. He received the BEng and MEng degrees from Central South University of Technology (now Central South University, China) in 1982 and 1985, respectively, and the PhD degree from University of Manchester in the UK in 1992. He did the postdoctoral research in the University of York in 1992–1993. He worked as a research fellow with the University of Sheffield in 1994-1996. During 1996–2000, he was a senior engineer with GEC-Alsthom and ALSTOM, and then a principal engineer and a project leader with ABB ALSTOM Power. He was a senior lecturer with the University of Nottingham in 2000–2003, a visiting professor with the Chinese Academy of Sciences in 2001-2005 and with the Harbin Institute of Technology in 2008–2013, and a professor with the University of South Wales in 2004–2019 and with Wuhan University in 2019–2021. Prof Liu's research interests include networked control systems, multi-objective optimal control, nonlinear identification and control, and industrial advanced control applications. He has completed more than 70 research projects as a principal investigator. He is an author of 10 books, 2 edited books, over 330 journal papers and 320 conference papers, and has 14 patents, 34 software copyrights and 2 software products. He was awarded the Alexander von Humboldt Research Fellowship in 1992. He was named a Highly Cited Researcher by Thomson Reuters in 2014 and 2015, by Clarivate Analytics in 2016–2018, and by Elsevier in 2014–2020. He received the second prize of Chinese National Science and Technology Awards in 2008 and 2015. Prof. Liu was the general chair of the 2007 IEEE International Conference on Networking, Sensing and Control, the 2011 International Conference on Intelligent Control and Information Processing, and the 2012 UKACC International Conference on Control. He has served as an Editor-in-Chief of the International Journal of Automation and Computing in 2004–2021 and an Honorary Editor-in-Chief of the journal "Advances in Internet of Things" since 2011. He is a Fellow of IEEE, a Fellow of IET and a member of the Academy of Europe. Yajun Pan is currently a Professor in the Department of Mechanical Engineering at Dalhousie University, Canada. She received the B.E. degree in Mechanical Engineering from Yanshan University, P.R. China, in 1996, the M.E. degree in Mechanical Engineering from Zhejiang University, P.R. China, in 1999 and the Ph.D degree in Electrical and Computer Engineering from the National University of Singapore, in 2003. After receiving the Ph.D. degree, she was a post-doctoral fellow of CNRS in the Laboratoire d'Automatique de Grenoble, France from 2003 to 2004. In 2004, she held post-doctoral position in the department of Electrical and Computer Engineering at the University of Alberta, Canada. She is currently an Associate Editor of the IEEE Transactions on Industrial Electronics (2019 Present), IEEE Transactions on Cybernetics (2016-Present), and IEEE/ASME Transactions on Mechatronics (2015–2020). She has been the Associate Editor for the Journal of Franklin Institute (2007–2013), International Journal of Advanced Robotics Systems (2014–2018), and the International Journal of Information and Systems Sciences (2009–2017). She is the Editor of the special issue on Advances in Methods for Control over Networks for the Journal of Control Science and Engineering; and the guest editor for the special issue in Advanced Modelling and Control of Complex Mechatronic Systems with Nonlinearity and Uncertainty for IEEE Access (2017–2018). She is a Fellow of Engineering Institute of Canada (FEIC - 2021), a Fellow of the American Society of Mechanical Engineers (ASME - 2017), a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), a member of Canadian Society of Mechanical Engineering (CSME) and a Registered Professional Engineer in the Province of Nova Scotia, Canada. Dr. Pan was awarded the Research Excellence Award (Junior Category, Academic Year of 2008–2009) in the Faculty of Engineering, Dalhousie University. She has served as the evaluation group member for NSERC Discovery Grant (2017–2020) and also the selection committee member for NSERC RTI grant in 2016–2017. She has served as the Vice-President, Atlantic Region, for Canadian Society of Mechanical Engineering (CSME) from 2018–2020. Tao Yang is a Professor at the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. He was an Assistant Professor at the Department of Electrical Engineering, University of North Texas, Denton, USA, from 2016–2019. He received the Ph.D. degree in electrical engineering from Washington State University in 2012. Between August 2012 and August 2014, he was an ACCESS Post-Doctoral Researcher with the ACCESS Linnaeus Centre, Royal Institute of Technology, Sweden. He then joined the Pacific Northwest National Laboratory as a postdoc, and was promoted to Scientist/Engineer II in 2015. His research interests include industrial artificial intelligence, integrated optimization and control, distributed control and optimization with applications to process industries, cyber physical systems, and networked control systems. He is an Associate Editor for IEEE Transactions on Control Systems Technology and IEEE/CAA Journal of Automatica Sinica. He currently is a member of the Technical Committee on Nonlinear Systems and Control, the Technical Committee on Networks and Communication Systems, and the Technical Committee on Smart Grids of the IEEE Control Systems Society, a member of the IEEE Control Systems Society Conference Editorial Board, and a member of the IFAC Technical Committee on Large Scale Complex Systems. He received Ralph E. Powe Junior Faculty Enhancement Award and Best Student Paper award (as an advisor) of the 14th IEEE International Conference on Control & Automation in 2018. Jiahu Qin is currently a Professor with the Department of Automation, University of Science and Technology of China, Hefei, China. He received the first Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2012, and the second Ph.D. degree in systems and control from the Australian National University, Canberra, ACT, Australia, in 2014. His current research interests include multi-agent systems, cyber-physical systems, and complex dynamical networks. Dr. Qin serves as the Deputy Director of Youth Committee of Chinese Association of Automation. He is currently an Associate Editor of IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, Journal of The Franklin Institute, Neurocomputing, Acta Automatica Sinica, IET Cyber-Physical Systems: Theory & Applications, etc. He is a recipient of the 2017 IEEE IES (Industrial Electronics Society) Best Conference Paper Award.

We examine factors contributing to the gender gap in employment in science, technology, engineering, and math (STEM) among men and women with bachelor’s degrees in computer science and engineering, the two largest and most male-dominated STEM fields. Data come from the National Science Foundation’s (NSF) Scientists and Engineers Statistical Data System (SESTAT) from 1995 to 2008. Different factors are associated with persistence in STEM jobs among computer science and engineering degree holders. Conditional on receiving a degree in computer science, women are 14 percentage points less likely to work in STEM than their male counterparts. Controlling for demographic and family characteristics did little to change this gender gap. Women with degrees in engineering are approximately 8 percentage points less likely to work in STEM than men, although about half of this gap is explained by observed differences between men and women. We document a widening gender gap in STEM employment in computer science, but this gender gap narrows across college cohorts among those with degrees in engineering. Among recent computer science graduates, the gender gap in STEM employment for white, Hispanic, and black women relative to white men is even larger than for older graduates. Gender and race gaps in STEM employment for recent cohorts of engineering graduates are generally small, though younger Asian women and men no longer have an employment advantage relative to white men. Our results suggest that a one-size-fits-all approach to increasing women’s representation in the most male-dominated STEM fields may not work.