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Record W4388550964 · doi:10.1115/1.4064046

JCISE Editorial Board—Year 2023

2023· article· en· W4388550964 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Computing and Information Science in Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceProduct lifecycleProduct (mathematics)Interface (matter)Systems engineeringProduct designSoftware engineeringManufacturing engineeringEngineeringNew product developmentOperating system

Abstract

fetched live from OpenAlex

The Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to scientific computing methods (e.g., modeling, simulation, representation, and algorithm) and computational tools (e.g., high-performance computing, and virtual and augmented reality) that aim to improve engineering products and systems for their complete lifecycle (e.g., design, manufacturing, operation, maintenance, disposal, and recycling). The interest areas include computational geometry, computer-aided design and manufacturing, cyber-physical systems, human–machine interface, machine intelligence, machine learning, modeling and simulation, precision engineering, product lifecycle management, reverse engineering, and systems engineering.Yan Wang, Georgia Institute of Technology, USAGaurav Ameta, Siemens Corporate Technology, USANabil Anwer, Ecole Normale Superieure Paris-Sarclay, FranceStephen Baek, University of Virginia, USAWilliam Bernstein, Air Force Research Laboratory, USALinkan Bian, Mississippi State University, USAMatthew I. Campbell, Oregon State University, USASeung-Kyum Choi, Georgia Institute of Technology, USAChih-Hsing Chu, National Tsing Hua University, TaiwanJonathan Roy Corney, University of Edinburgh, UKEhsan Esfahani, State University of New York at Buffalo, USAFrancesco Ferrise, Politecnico di Milano, ItalyAmir H. Gandomi, University of Technology Sydney, AustraliaJohann Guilleminot, Duke University, USAB. Gurumoorthy, Indian Institute of Science, IndiaBin He, Shanghai University, ChinaAjay Joneja, Hong Kong University of Science and Technology, Hong KongKrishnanand Kaipa, Old Dominion University, USAAshok V. Kumar, University of Florida, USATsz-Ho Kwok, Concordia University, CanadaGuang Lin, Purdue University, USAYing Liu, Cardiff University, UKYusheng Liu, Zhejiang University, ChinaYan Lu, National Institute of Standards and Technology, USAJianxi Luo, Singapore University of Technology and Design, SingaporeYongsheng Ma, Southern University of Science and Technology, ChinaMahesh Mani, National Institute of Standards and Technology, USAJohn G. Michopoulos, Naval Research Laboratory, USADuhwan Mun, Korea University, South KoreaAlison Olechowski, University of Toronto, CanadaYayue Pan, University of Illinois at Chicago, USAAnurag Purwar, Stony Brook University, USARahul Rai, Clemson University, USAP.V.M. Rao, Indian Institute of Technology Delhi, IndiaCaterina Rizzi, University of Bergamo, ItalyKazuhiro Saitou, University of Michigan, USAShana Smith, National Taiwan University, TaiwanYu Song, Delft University of Technology, The NetherlandsKrishnan Suresh, University of Wisconsin, Madison, USAAtul Thakur, Indian Institute of Technology Patna, IndiaDouglas Van Bossuyt, Naval Postgraduate School, USACharlie C. L. Wang, University of Manchester, UKJun Wang, Nanjing University of Aeronautics and Astronautics, ChinaKristina Wärmefjord, Chalmers University of Technology, SwedenHui Yang, Pennsylvania State University, USAZhinan Zhang, Shanghai Jiao Tong University, ChinaVinayak Raman Krishnamurthy, Texas A&M University, USAJami J. Shah (Founding Editor-in-Chief), Ohio State University, USABahram Ravani (Former Editor-in-Chief), University of California, Davis, USASatyandra K. Gupta (Former Editor-in-Chief), University of Southern California, USAJanet Allen, University of Oklahoma, USASanjay Govind Dhande, Indian Institute of Technology Kanpur, IndiaImre Horváth, Delft University of Technology, The NetherlandsRam D. Sriram, National Institute of Standards and Technology, USAJianrong Tan, Zhejiang University, ChinaAnindya Bhaduri, General Electric Research, USABopaya Bidanda, University of Pittsburgh, USASatish Bukkapatnam, Texas A&M University, USAStephen Canfield, Tennessee Technological University, USAFrancisco Chinesta, ENSAM Institute of Technology, FranceElias Cueto, University of Zaragoza, SpainKaushal Desai, Indian Institute of Technology Jodhpur, IndiaLiang Gao, Huazhong University of Science and Technology, ChinaAkhil Garg, Huazhong University of Science and Technology, ChinaZhaohui Geng, Ohio University, USADan Li, Clemson University, USAChenang Liu, Oklahoma State University, USADehao Liu, Binghamton University, USAJie Liu, Carleton University, CanadaJunfeng Ma, Mississippi State University, USAMarc Mignolet, Arizona State University, USAZhenguo Nie, Tsinghua University, ChinaZhou Quan, University of Birmingham, UKSandipp Krishnan Ravi, General Electric Research, USAChristian Soize, Université Gustave Eiffel, FranceZiyou Song, National University of Singapore, SingaporeWenmeng Tian, Mississippi State University, USAJian-Xun Wang, University of Notre Dame, USAPaul Witherell, National Institute of Standards and Technology, USAMark Yampolskiy, Auburn University, USAFan Zhang, Georgia Institute of Technology, USAYunbo Zhang, Rochester Institute of Technology, USAAmy Suski

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.284
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0170.006
Open science0.0030.003
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.2840.271

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.215
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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