Updates

• Special Issue: We are honored to introduce this Special Issue of Symmetry, entitled “The Role of Temporal Influence in Discrete and Continuous Models: Symmetry and Beyond.” This collection brings together interdisciplinary contributions that explore the nuanced role of time in various frameworks, with a particular focus on the comparative analysis of discrete versus continuous time-pertinent systems. [Link]

• I will be serving two reputable conference of WISE 2025 (Program Committee) and AICCSA 2025 (PhD Symposium chairs). 

• We resumed our Programming Club Activities, Class 2024 Semester 1: https://www.instagram.com/fcit.sohar.university/

• Dr. Hosseini will be the PhD Symposium, PC at the 25th International Web Information Systems Engineering (WISE 2024) conference WISE 2024 Program Committee

• IEEE International Conference on Data Engineering (ICDE) is one of the premier conferences in data and information engineering. Three publications of Dr. Hosseini in the proceedings of ICDE 2024 (Core A* Conference) One Two Three 

• Dr. Hosseini will be the Program Committee (PC), serving the 25th International Web Information Systems Engineering (WISE 2024) conference WISE 2024 Program Committee

• Our paper, Flatness-Aware Gradient Descent for Safe Conversational AI, has been selected as a Spotlight Paper for the TrustNLP Workshop at NAACL. To ensure better optimization, our proposed method penalizes sharp trajectories of loss curve, encouraging flatness of the converged local minima. #NAACL #TrustNLP 

• Sohar University Participate in the 40th annual IEEE International Conference: https://www.su.edu.om/40th-annual-ieee-international-conference/

• Delighted to inform that our manuscript has been accepted to appear at TrustNLP @ NAACL 2024 https://trustnlpworkshop.github.io/ Title: Flatness-Aware Gradient Descent for Safe Conversational AI

• Our article was accepted: Cognition2Vocation: Meta-learning via ConvNets and Continuous Transformers, Journal: Neural Computing and Applications NCAA Impact factor 6, Q1

• Our article was accepted: SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding (Extended Abstract) ICDE 2024, TKDE Section, To be held in May 13-17, 2024 in Utrecht in Netherlands

• Our article was accepted: Value-wise convnet for transformer models: an infinite time-aware recommender system (Extended Abstract) ICDE 2024, TKDE Section, To be held in May 13-17, 2024 in Utrecht in Netherlands

• I will be the program coordinator in the 5th International Conference on Machine Learning for Cyber Security http://nsclab.org/ml4cs2023/committees.html

• I am honored to serve the university as a member of the Academic Board in Teaching and Learning Committee (TLC) appointed by the respected FCIT Dean.

• Our publication is now available in the ACM Digital Library. TEA: Time-aware Entity Alignment in Knowledge Graphs Yu Liu, Wen Hua, Kexuan Xin, Saeid Hosseini, Xiaofang Zhou WWW '23: Proceedings of the ACM Web Conference 2023 https://lnkd.in/d98JjfyD 

• Our article finally got accepted in Neural Computing and Applications, impact factor 5.606 and Q1 Ranked. Kamran, S., Zall, R., Kangavari, M. R., Hosseini, Saeid, Rahmani, S., & Hua, W. (2023). EmoDNN: Understanding emotions from short texts through a deep neural network ensemble. You may find the original arxiv version of the article in this url: https://arxiv.org/abs/2106.01706  

• Our paper has been accepted in the reputed (ICDE 2023) conference. Najafipour, S., Hosseini, Saeid, Hua, W., Kangavari, M. R., & Zhou, X. (2023). SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding (Extended Abstract). The paper will be presented for selected articles in the special session dedicated to IEEE TKDE.

• Our paper got accepted in [WWW 2023] TEA: Time-aware Entity Alignment in Knowledge Graphs, Yu Liu, Wen Hua, Kexuan Xin, Saeid Hosseini, and Xiaofang Zhou. TheWebConf'23 (WWW Conference) is a competent conference with an acceptance rate of 19.2% (365/1900) in 2023.

• Our paper got accepted in the prestigious Knowledge-Based Systems journal: Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects Rahmani, Sana and Hosseini, Saeid and Zall, Raziyeh and Kangavari, Mohammad Reza and Kamran, Sara and Wen Hua Link [KBS 2022]

• I was invited as a Programme Committee to the IEEE 2023 International Conference on Machine Learning and Applications (ICMLA 2023).

• Our paper was accepted in the prestigious TKDE journal: Value-wise ConvNet for Transformer models: An Infinite Time-aware Recommender System M Saaki, Saeid Hosseini, S Rahmani, MR Kangavari, W Hua, X Zhou IEEE Transactions on Knowledge and Data Engineering [TKDE 2022]

• Our paper was accepted in the prestigious journal [WWWJ 2022] Title: Auto-Regressive Extractive Summarization with Replacement (Tianyu Zhu, Wen Hua, Jianfeng Qu, Saeid Hosseini, and Xiaofang Zhou) https://doi.org/10.1007/s11280-022-01108-0 

• I was invited as a Programme Committee to the IEEE 2022 International Conference on Machine Learning and Applications (ICMLA 2022).

• I am Honored to get appointed as the research representative of our Faculty ( computing and information technology (CIT)) in the University Research Council. I will be looking forward to organizing and fostering the research in our department. Moreover, I will coordinate  the programming club.

• Dr. Hosseini was appointed as a program committee members in The Conference on Information and Knowledge Management (CIKM), 2021

• Dr. Hosseini will be the coordinator for the newly established Programming Club at Sohar University:

https://www.su.edu.om/index.php/en/news-en/fcit-programming-club

https://www.instagram.com/fcit.sohar.university/

• September, 2020, I was recognized as a certified reviewer of the Journal of Network and Computer Applications - Elsevier. Q1 ranked, Impact F.: 5.570

• July, 2020: I will be the Program Committee member in IEEE Intl. Conference in Data Science and Advanced Analytics  (Computational Intelligence) http://dsaa2020.dsaa.co/   Sydney, Australia , 6-9 October 2020

http://dsaa2020.dsaa.co/call-for-special-session-papers-2/#privacy 

• July 2020: My scientific article "GS4: Graph stream summarization based on both the structure and semantics" got accepted in The Journal of Supercomputing  (IF: 2.16, Q2, ISI). Date Accepted: 2-July-2020. Dr. Hosseini is the co-supervisor in this work. 

https://link.springer.com/article/10.1007/s11227-020-03290-2 

• May 2020: My scientific article "TEAGS: Time-aware Text Embedding Approach to Generate Subgraphs" got accepted in Data Mining and Knowledge Discovery  (IF: 3.5, Q1, ISI). Date Accepted: 9-May-2020. Dr. Hosseini is the first and corresponding author in this work. 

https://link.springer.com/article/10.1007/s10618-020-00688-7

• March 2020: My scientific article "SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding" got accepted in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). Date Accepted: 12-Mar-2020. Dr. Hosseini is the co-first and corresponding author in this work. 

https://ieeexplore.ieee.org/document/9043718 

• Jan. 2020 Honored to be among the Reviewers Committee at the 25th International Computer Conference, Computer Society of Iran (CSICC2020). I am the PC member for both divisions of Cognitive Science and Recommendation Systems. The conference is hosted at Iran University of Science and Technology. , Tehran, Iran. 

http://csicc2020.iust.ac.ir/en/reviewers-committee.html 

• Dec. 2019 I was elected as the PC member, in Cognitive Science, Affective computing track, the 25th International Computer Conference, Computer Society of Iran, Tehran, Iran.

• Nov. 2019 I was elected as the reviewer board in the Journal of Geo-Information: Find him Here. 

• The print version of our paper was issued: Leveraging multi-aspect time-related influence in location recommendation https://doi.org/10.1007/s11280-018-0573-2 (doi: 10.1007/s11280-018-0573-2) Dr. Saeid Hosseini as the first Author Volume 22, Issue 3, May 2019

Bio.

Dr. Saeid Hosseini (Data Scientist) is currently an Associate professor at Sohar University, within the faculty of Computing and information technology department (FCIT).

He completed the Ph.D. degree in Computer Science at the University of Queensland, Australia (Aug. 2017)

He did his Ph.D. in the DKE group, School of Information Technology and Electrical Engineering, University of Queensland, Australia, supervised by Prof. Xiaofang Zhou and Prof. Shazia Sadiq. 

Dr. Hosseini was also a senior web developer in Australia, he has more than 10 years of experience (.Net technology and MS SQL server DBMS). Developing massive business websites, including www.forkliftaction.com, a global portal that has more than 100,000 industry clients world-wide. He has also developed more than 20 mid and large-scale websites that are all serving the Australian businesses.

He obtained his M.Sc. from the Queensland University Of Technology, Australia in 2012, and his B.E. in Computer Science from Azad University, Tehran North Branch, Iran in 2000. 

He completed post-doc research studies at Singapore University of Technology and Design (under supervision of A./Prof. Zhang Meihui and recently Prof. Ngai-Man (Man) Cheung) and Iran University of Science and Technology from 2018 to 2020.

Dr. Hosseini's research interests mainly focus on crowdsourcing, recommendation systems, Spatio-temporal databases, and social network analytics. And he also has up-to-date knowledge regarding .net web application development.

Teaching:

Year 2019-Now

• COMP3211: Enterprise Resource Planning - Design and Implementation

• COMP3212: Wireless Sensor and Actuator Networks

• COMP4108: Big Data Analytics

• COMP3108: Cloud Computing

• COMP3107: Distributed Database Design

• COMP4209: E-Environment

Articles - Webpages

• 2020: A Time-aware Text Embedding Approach to Leverage Subgraphs 

• 2020: https://sites.google.com/view/temporal-textual-embedding

• 2019: MCP: a Multi-Component learning machine to Predict protein secondary structure