{"title":"Both Interdisciplinary and Interesting","authors":"H. Adeli","doi":"10.3233/ICA-210648","DOIUrl":null,"url":null,"abstract":"Sometimes all it takes to realize the significance of a thing is simply to understand its name. This is certainly the case for the journal Integrated ComputerAided Engineering (ICAE), which has now been benefitting interdisciplinary researchers for 30 years. The name ICAE starts with “integrated,” which speaks to the very interdisciplinary nature of the journal. ICAE is about research projects, not simple research papers. To publish in ICAE is to present research in a larger context, making ICAE articles of interest to researchers and enthusiasts in several technology fields at once. The second part of ICAE’s name is “computer,” and some elaboration is necessary here. ICAE papers are not about computer architecture or about computer networks; instead, ICAE is about using computer architectures and networks in optimal ways to solve technical problems. This comes to the third part of the four-part name: “aided”. Computing is used to aid technologists in their research and development challenges. Computing is a tool, and ICAE authors are expected to actually use their tools properly. If it’s a nail, you’d better use a hammer, but if it’s a screw, you’d better use a screwdriver. If a paper is submitted to ICAE, it had better not simply grab the latest convolutional neural network (CNN) design and apply it to a known data set and present its 2% reduction in error rate as a finding. That is simply a verification that CNN designs continue to incrementally improve, and as such is nothing more than a verification that CNNs continue to be useful tools for the technical community. Reaching back to the earlier analogy, that is tantamount to showing that the latest hammer will pound a nail with 2% more efficiency. Nice to know, but not interesting. Perhaps this is why the third part of the name of ICAE is so important. When one must use a tool to aid in a task, it should be an interesting task. For me, this is why ICAE is one of my favorite journals. It is both interdisciplinary and interesting. Incremental articles are not ICAE articles. Hojjat Adeli, the Founder and Editor-in-Chief of ICAE, makes this clear in the reviewer form for ICAE, which specifically asks “If you are aware of the authors’ other recent publications please explain how the current submission is different from their previous publication. Please point out the duplication, if any, and provide specific suggestions to minimize any duplication.” In other words, any duplication is grounds for constructive, but also restrictive, feedback to the authors. It is computer-aided, not computer-using, research. This brings us to the fourth part of the name, “engineering.” Engineers are applied researchers. They build devices, they test what they build, they create useful and reproducible outputs. We need only consider the next part of the reviewer feedback to see this need for building, testing, and utility: “Please comment whether examples presented in the paper are appropriate and justified considering the significant advances made in computational modeling in recent years as well as the increasing power of computers. Are the examples presented small academic exercises?” Sure, ICAE publishes papers from some of the world top academics; after all, that is precisely what its Editor-in-Chief is. However, ICAE requires these folks to build, test, and provide the “engineering blueprints” (that is, the ability to reproduce the results) of their research so the entire ICAE audience can benefit from the engineering insights of the authors. I am a professor in a Systems Engineering Department, which is a formal engineering discipline focused on integration. For me, the ICAE journal is an important element of staying aligned with the advancements in large, integrated engineering research. I have been a reviewer for ICAE for over a decade (much of that time as a Fellow at HP Labs, and more recently as a Professor at Colorado State University). I joined the Editorial Advisory Board a couple of years ago. ICAE has remained as relevant to me in my new career in academia as it was in my former career in the computing industry.","PeriodicalId":50358,"journal":{"name":"Integrated Computer-Aided Engineering","volume":"2 1","pages":"115-116"},"PeriodicalIF":5.8000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrated Computer-Aided Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.3233/ICA-210648","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Sometimes all it takes to realize the significance of a thing is simply to understand its name. This is certainly the case for the journal Integrated ComputerAided Engineering (ICAE), which has now been benefitting interdisciplinary researchers for 30 years. The name ICAE starts with “integrated,” which speaks to the very interdisciplinary nature of the journal. ICAE is about research projects, not simple research papers. To publish in ICAE is to present research in a larger context, making ICAE articles of interest to researchers and enthusiasts in several technology fields at once. The second part of ICAE’s name is “computer,” and some elaboration is necessary here. ICAE papers are not about computer architecture or about computer networks; instead, ICAE is about using computer architectures and networks in optimal ways to solve technical problems. This comes to the third part of the four-part name: “aided”. Computing is used to aid technologists in their research and development challenges. Computing is a tool, and ICAE authors are expected to actually use their tools properly. If it’s a nail, you’d better use a hammer, but if it’s a screw, you’d better use a screwdriver. If a paper is submitted to ICAE, it had better not simply grab the latest convolutional neural network (CNN) design and apply it to a known data set and present its 2% reduction in error rate as a finding. That is simply a verification that CNN designs continue to incrementally improve, and as such is nothing more than a verification that CNNs continue to be useful tools for the technical community. Reaching back to the earlier analogy, that is tantamount to showing that the latest hammer will pound a nail with 2% more efficiency. Nice to know, but not interesting. Perhaps this is why the third part of the name of ICAE is so important. When one must use a tool to aid in a task, it should be an interesting task. For me, this is why ICAE is one of my favorite journals. It is both interdisciplinary and interesting. Incremental articles are not ICAE articles. Hojjat Adeli, the Founder and Editor-in-Chief of ICAE, makes this clear in the reviewer form for ICAE, which specifically asks “If you are aware of the authors’ other recent publications please explain how the current submission is different from their previous publication. Please point out the duplication, if any, and provide specific suggestions to minimize any duplication.” In other words, any duplication is grounds for constructive, but also restrictive, feedback to the authors. It is computer-aided, not computer-using, research. This brings us to the fourth part of the name, “engineering.” Engineers are applied researchers. They build devices, they test what they build, they create useful and reproducible outputs. We need only consider the next part of the reviewer feedback to see this need for building, testing, and utility: “Please comment whether examples presented in the paper are appropriate and justified considering the significant advances made in computational modeling in recent years as well as the increasing power of computers. Are the examples presented small academic exercises?” Sure, ICAE publishes papers from some of the world top academics; after all, that is precisely what its Editor-in-Chief is. However, ICAE requires these folks to build, test, and provide the “engineering blueprints” (that is, the ability to reproduce the results) of their research so the entire ICAE audience can benefit from the engineering insights of the authors. I am a professor in a Systems Engineering Department, which is a formal engineering discipline focused on integration. For me, the ICAE journal is an important element of staying aligned with the advancements in large, integrated engineering research. I have been a reviewer for ICAE for over a decade (much of that time as a Fellow at HP Labs, and more recently as a Professor at Colorado State University). I joined the Editorial Advisory Board a couple of years ago. ICAE has remained as relevant to me in my new career in academia as it was in my former career in the computing industry.
期刊介绍:
Integrated Computer-Aided Engineering (ICAE) was founded in 1993. "Based on the premise that interdisciplinary thinking and synergistic collaboration of disciplines can solve complex problems, open new frontiers, and lead to true innovations and breakthroughs, the cornerstone of industrial competitiveness and advancement of the society" as noted in the inaugural issue of the journal.
The focus of ICAE is the integration of leading edge and emerging computer and information technologies for innovative solution of engineering problems. The journal fosters interdisciplinary research and presents a unique forum for innovative computer-aided engineering. It also publishes novel industrial applications of CAE, thus helping to bring new computational paradigms from research labs and classrooms to reality. Areas covered by the journal include (but are not limited to) artificial intelligence, advanced signal processing, biologically inspired computing, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, intelligent and adaptive systems, internet-based technologies, knowledge discovery and engineering, machine learning, mechatronics, mobile computing, multimedia technologies, networking, neural network computing, object-oriented systems, optimization and search, parallel processing, robotics virtual reality, and visualization techniques.