[IISE Faculty List] IEFac.list Digest, Vol 200, Issue 25
Alam, Md Noor E
md.alam at northeastern.edu
Sun Oct 15 21:12:50 EDT 2023
Department of Mechanical and Industrial Engineering
Northeastern University
Initial announcement: Two Assistant/Associate/Full Professor Positions in Supply Chain Resilience
The Department of Mechanical and Industrial Engineering (MIE) at Northeastern University seeks applications for open-rank (Assistant, Associate, or Full Professor) faculty candidates with research interests broadly in the area of supply chain resilience.
Appointments will be primarily or fully in MIE. These positions have potential for both joint cross-department appointments and joint cross-college appointments in the College of Science, Khoury College of Computer Science, College of Social Sciences and Humanities, College of Arts Media and Design, Bouvé College of Health Sciences, and D’Amore-McKim School of Business.
We are seeking to fill multiple faculty positions with research interests and expertise on any of a set of broadly defined areas relevant to supply chain resilience, including but not limited to:
* Supply chain modeling and optimization
* AI/data science methodologies for supply chain problems
* Sustainability
* Design and operations of socio-technical systems
* Mitigating risks, preparing, and responding to disruptions in networked systems
* Discrete, dynamic and stochastic optimization
* Quantitative and analytical methods for policy and regulation
This is an initial announcement to solicit candidates interested in meeting with MIE representatives at the INFORMS annual meeting in Phoenix. A formal application process will be announced soon. Those who are attending INFORMS and would like to be considered for an informal chat should email their CV to
Ozlem Ergun at o.ergun at northeastern.edu<mailto:o.ergun at northeastern.edu>
Best Regards
Noor
Muhammad Noor E Alam, PhD
Director, Decision Analytics Lab
Associate Professor, Dept. of Mechanical and Industrial Engineering
Affiliate Associate Professor, Khoury College of Computer Science
Northeastern University
Phone: 617-373-2275 | Email: mnalam at neu.edu
Website: https://mnalam.com/
________________________________
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Today's Topics:
1. First Call for papers: Special issue on Ontology Matching and
Machine Learning (Semantic Web Journal) (Cassia TROJAHN)
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Subject: [IISE Faculty List] First Call for papers: Special issue on
Ontology Matching and Machine Learning (Semantic Web Journal)
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Special issue on Ontology Matching and Machine Learning
https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.semantic-web-journal.net%2Fblog%2Fspecial-issue-ontology-matching-and-machine-learning&data=05%7C01%7Cmd.alam%40northeastern.edu%7Cd3675fde935c4273dd8108dbcd98067d%7Ca8eec281aaa34daeac9b9a398b9215e7%7C0%7C0%7C638329825054811498%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=E74hH%2FdoSooj7beXI0XsnZ7JWaPVrYPsBjnLHGaKANU%3D&reserved=0<https://www.semantic-web-journal.net/blog/special-issue-ontology-matching-and-machine-learning>
-------------------
This special issue aims to discuss the latest research proposals and on the use of machine learning for ontology matching, data interlinking, and data integration in general.
Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data interlinking, query answering or navigation over knowledge graphs. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate.
While early approaches have addressed the use of machine learning, new deep learning and large language models have gained attention in the field, proving new ways of capturing the relationships between the entities of different ontologies.
The special issue aims at providing a comprehensive view of the latest research advancements and inspire further research in this evolving area. We welcome original research papers that propose novel techniques, models, and frameworks for ontology matching, data interlink and data integration.
-------------------
Themes and Topics
-------------------
We are interested in (including but not limited to) the following themes and topics that study the application of deep learning and large langage models in general:
- Matching and deep learning
- Matching and large language models
- Learning in instance matching, data interlinking
- Large-scale and efficient matching techniques
- Matching and neuro-symbolic techniques
- Matcher selection, combination and tuning
- User involvement
- Explanations in matching
- Social and collaborative matching
- Uncertainty in matching
- Expressive alignments
- Reasoning with alignments
- Alignment coherence and debugging
- Matching for emerging applications (e.g., web tables, knowledge graphs)
- Benchmarks for machine learning oriented matching
-------------------
Deadline
-------------------
Submission deadline: 20th February 2024. Papers submitted before the deadline will be reviewed upon receipt.
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Author Guidelines
-------------------
We invite full papers, dataset descriptions, application reports and reports on tools and systems. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this special issue. Authors can extend previously published conference or workshop papers; guidelines for this can be found in FAQ 9.
Submissions shall be made through the Semantic Web journal website at https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.semantic-web-journal.net%2F&data=05%7C01%7Cmd.alam%40northeastern.edu%7Cd3675fde935c4273dd8108dbcd98067d%7Ca8eec281aaa34daeac9b9a398b9215e7%7C0%7C0%7C638329825054811498%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Owa6IPW3efMbDz8X84ZBZs%2FaejlLrPO365rnE7hMW4Q%3D&reserved=0<http://www.semantic-web-journal.net/>. Prospective authors must take notice of the submission guidelines posted at https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.semantic-web-journal.net%2Fauthors&data=05%7C01%7Cmd.alam%40northeastern.edu%7Cd3675fde935c4273dd8108dbcd98067d%7Ca8eec281aaa34daeac9b9a398b9215e7%7C0%7C0%7C638329825054811498%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=vx7TDHw8XLwlULbFkvP2d10%2F4618uOndS1QK25WmCO4%3D&reserved=0<http://www.semantic-web-journal.net/authors>.
We welcome any submission type as described https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.semantic-web-journal.net%2Fauthors%23types&data=05%7C01%7Cmd.alam%40northeastern.edu%7Cd3675fde935c4273dd8108dbcd98067d%7Ca8eec281aaa34daeac9b9a398b9215e7%7C0%7C0%7C638329825054967737%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=0w52WKd1vDSRfkCdyv0uKL%2F7gBCuHbQp%2FUCnIK%2BdcnE%3D&reserved=0<http://www.semantic-web-journal.net/authors#types>.
While there is no upper limit, paper length must be justified by content. Note that you need to request an account on the website for submitting a paper. Please indicate in the cover letter that it is for the "Ontology Matching and Machine Learning" special issue.
All manuscripts will be reviewed based on the SWJ open and transparent review policy and will be made available online during the review process.
Also note that the Semantic Web journal is open access and all submissions rely on an open and transparent review process (see FAQ 1). Finally please note that submissions must comply with the journal?s Open Science Data requirements, which are detailed in the corresponding blog post.
-------------------
Guest Editors
The guest editors can be reached at om-ml at googlegroups.com .
-------------------
C?ssia Trojahn, IRIT, France
Sven Hertling, University of Mannheim, Germany
Huanyu Li, Link?ping University, Sweden
Oktie Hassanzadeh, IBM Research, USA
-------------------
Guest Editorial Board
-------------------
Ernesto Jim?nez-Ruiz, City, University of London, UK & SIRIUS, University of Oslo, Norway
Pavel Shvaiko, Trentino Digitale, Italy
J?r?me Euzenat, INRIA & Univ. Grenoble Alpes, France
TO BE COMPLETED
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