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Record W4404146585 · doi:10.1115/1.4067008

JCISE Editorial Board—Year 2024

2024· article· en· W4404146585 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Computing and Information Science in Engineering · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
Fundersnot available
KeywordsEditorial boardEngineeringComputer scienceEngineering drawingLibrary science

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, 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 computer-aided design and manufacturing, computational geometry and geometry processing, cyber-physical-social systems, data analytics and machine learning, engineering optimization, human–computer interface and human modeling, intelligent manufacturing, machine intelligence and robotics system, modeling and simulation and scientific computing, precision engineering and reverse engineering, sustainability and product lifecycle management, and systems engineering and engineering informatics.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, USASeung-Kyum Choi, Georgia Institute of Technology, USAChih-Hsing Chu, National Tsing Hua University, TaiwanJonathan Roy Corney, University of Edinburgh, UKKaushal Desai, Indian Institute of Technology Jodhpur, IndiaEhsan 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, USATsz-Ho Kwok, Concordia University, CanadaVinayak Raman Krishnamurthy, Texas A&M University, USAGuang Lin, Purdue University, USAYusheng Liu, Zhejiang University, ChinaYan Lu, National Institute of Standards and Technology, USAJianxi Luo, City University of Hong Kong, Hong Kong, ChinaYongsheng Ma, Southern University of Science and Technology, ChinaSamy Missoum, University of Arizona, 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, 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, IndiaWenmeng Tian, Mississippi State University, USACameron Turner, Clemson University, USADouglas Van Bossuyt, Naval Postgraduate School, USAJun Wang, Nanjing University of Aeronautics and Astronautics, ChinaKristina Wärmefjord, Chalmers University of Technology, SwedenHui Yang, Pennsylvania State University, USAXiaowei Yue, Tsinghua University, ChinaZhinan Zhang, Shanghai Jiao Tong University, ChinaVinayak Raman Krishnamurthy, Texas A&M University, USADouglas Van Bossuyt, Naval Postgraduate School, 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, USAImre 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, USAQing (Cindy) Chang, University of Virginia, USAFrancisco Chinesta, ENSAM Institute of Technology, FranceBianca Maria Colosimo, Politecnico di Milano, ItalyElias Cueto, University of Zaragoza, SpainTonya Custis, Autodesk, USALiang Gao, Huazhong University of Science and Technology, ChinaAkhil Garg, Huazhong University of Science and Technology, ChinaZhaohui Geng, Ohio University, USABabak Heydari, Northeastern University, USAChen Kan, University of Texas at Arlington, USAMegan Konar, University of Illinois at Urbana-Champaign, USAAstrid Layton, Texas A&M University, USADan Li, Clemson University, USAChenang Liu, Oklahoma State University, USADehao Liu, Binghamton University, USAJie Liu, Carleton University, CanadaJunfeng Ma, Mississippi State University, USAZhenguo Nie, Tsinghua University, ChinaEvangelos Niforatos, Delft University of Technology, The NetherlandsZhou Quan, University of Birmingham, UKSandipp Krishnan Ravi, General Electric Research, USARahul Rai, Clemson University, USAZhenghui Sha, University of Texas at Austin, USAZiyou Song, National University of Singapore, SingaporeJohn Steuben, Naval Research Laboratory, USAGregory Vogl, National Institute of Standards and Technology, USAJian-Xun Wang, University of Notre Dame, USAXiaozhi Wang, ABS, USAYinan Wang, Rensselaer Polytechnic Institute, USARobert Wendrich, Rawshaping Technology, The NetherlandsPaul Witherell, National Institute of Standards and Technology, USAMark Yampolskiy, Auburn University, USAFan Zhang, Georgia Institute of Technology, USAPai Zheng, Hong Kong Polytechnic University, ChinaYunbo Zhang, Rochester Institute of Technology, USAFiona Zhao, McGill University, CanadaRegina Neequaye

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: Other · Consensus signal: none
Teacher disagreement score0.290
Threshold uncertainty score0.969

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 communication0.0170.005
Open science0.0030.003
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.2900.265

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 head0.022
GPT teacher head0.378
Teacher spread0.356 · 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
GenreOther

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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