About Abdul Gafar Manuel Meque
Short Bio
TBD
Current Occupation
I am a Ph.D candidate at the Computer Science at Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN). I am currently working on Automatic Guilt detection in Social Media Text, under the supervion of Dr. Alexander Gelbukh and Dr. Grigori Sidorov, in Dr. Gelbukh’s Natural Language Processing Lab.
Before NLP Lab in Mexico
Prior to my joining the NLP lab, I was a lecturer at the Catholic University of Mozambique, while simultaneously lended my expertise to the Industry as ICT Consultant and Project Manager, having held diferent managerial positions. I am a former Ph.D Candidate in Computer Science, a joint program by the Institute of Information Science at Academia Sinica, Taiwan and Computer Science Department at National ChengChi University, Taiwan. As a fellow from the Taiwan Internation Graduate Program.
Before that, I obtained M.Tech. degree in Systems Integration and e-Government from the University of Trento, Italy in 2012 where I worked as a research intern at the CNR’s Laboratory of Applied Ontology under the supervision of professors Roberta Ferrario and Claudio Masolo; and a baccalaureate degree from the Catholic University of Mozambique in 2010.
Positions in Industry
I am an _ ICT and Computer Science Lecturer_ at Catholic University of Mozambique, Project Manager and Senior DevOps Engineer at SD Consultores e Servicos Director of ICT and Senior Systems Analyst & Developer at NM Technology Services and Solutions. Basically I have two-faced carreer, working both in Academia and Industry
In my Industry carreer I split my time Manging Projects and Operations, as well as Consultanting in ICT and Software/System Engineering projects, helping institutions devising internal ICT related policies and plans for ICT Governance, Software Migration, Systems and Software adoption.
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Research Interest
My current Academic interests are Social Networks Data Mining, Natural Languages Processing ( particularly Emotion Detection, Sentiment Analysis and Semantic Role Labeling), Artificial Inteligence and Information Systems.
Publications
News
August 24th 2022 - Paper accepted for SMMHA 2022
Our submission to the 7th Social Media Mining for Health Applications #SMM4H Shared Task at COLING 2022, was accepted, and will appear in the proceedings of COLING 2022.
August 12th 2022 - Paper accepted for CLEF 2022
Our paper “CIC at CheckThat! 2022: Multi-class and Cross-lingual Fake News Detection” will be published in the Proceedings of the Working Notes of CLEF 2022, it depicts our solution to the CheckThat! 2022 shared task.
July 21th 2022 - Our paper was accepted for IberLEF 2022
Our paper tittled “Mexican Spanish Paraphrase Identification using Data Augmentation” presenting our solution for the PAR-MEX shared task has been accepted for publication.
NMTSS partnership with DSD Capital.
With my leadership, NM Technology Services & Solutions is partnering with DSD Capital in Joint Venture to provide Telecom and Business Services in Beira, Backed by Vodacom, SA.
Interactive Multiplatform and Multichanel Messaging-based Networking Application (IM3NSA)
Currently working as Project Manager on a platform that allow enterprises/individuals to visually build, deploy and run SMS applications, usefull for surveys, marketing, campaigning, customer care, and so many other possibility. The project is on being funded by Winrock International under the umbrella of their FEED THE FUTURE RESILIENT AGRICULTURAL MARKETS ACTIVITY Project entitled Feed The Future Resilient Agricultural Markets Activity (RAMA) – Nacala Corridor.
In the first phase we aim at providing small farmers with means to access high quality, affordable, reliable, demand-driven information during the agriculture activity lifecycle along the value chain and railway safety info broadcasts on regular basis.
Moodle Platform Implementation at Instituto Superior de Ciencias e Tecnologias Alberto Chipande
Learning Management System Upgrading for Scripting Academy
One paper is accepted by ICLR 2018.
I will join FAIR as a 2018 summber intern, advised by Kaiming He.