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CSE Faculty Participates in Facebook “Ethics in AI Research Initiative for the Asia Pacific” Roundtable
Dr. Junaid Qadir, Professor of Computer Engineering at our department participated in the “Facebook Ethics in AI Research Initiative for the Asia Pacific” Roundtable on 10th September, 2021, and presented an update on the “Culturally-informed pro-social AI regulation and persuasion framework” project. This project is funded by Facebook Research and focuses on studying the ethical issues related to Artificial Intelligence (AI) from an Islamic Perspective and explores culturally-sensitive human-centered AI for the Muslim World. The roundtable was attended by top AI experts and discussants included ethicists, technologists, researchers, and policy makers.
Dr. Junaid is currently teaching the course CMPE483 “Introduction to Robotics” at QU. The course provides a detailed overview of the robotic ecosystem and discusses basic concepts related to sensing, actuation, and robotic intelligence. The course also explores the ethics of using AI and intelligent robots and its socio-technical implications.
We are Hiring!!!
We are looking for:
Assistant/Associate/Full professor
The Computer Science and Engineering Department is seeking high-caliber candidate for faculty position at the levels of assistant, associate, and full professor. The applicant should possess a Ph.D. degree in Computer Engineering, or a related field from a reputable university and should demonstrate a strong record in teaching, research, and services. While applicants in all areas of computing will be considered, the following areas are of particular interest to the department: Robotics, cybersecurity, AI for hardware design, embedded systems, biomedical engineering, quantum computing. The positions are available beginning January 2024.
More information is available in the attached file: Here
Lecturer
The applicant should hold a Ph.D. degree in Computer Science or an equivalent field from a reputable university. Moreover, the candidate must have a proven track record in teaching courses relevant to Mobile Application Development, Web Development, and Security (e.g., applied cryptography). We are particularly interested in individuals who are highly motivated and eager to collaborate with our dynamic team. The position is available starting from January 2024.
More information is available in the attached file: Here
How To Apply:
- New applicant: The application needs to set up an account here and complete the personal profile and apply to the selected position.
- Returning applicant: The applicant should log in to his/her account in here and update first his/her information and then apply.
- The IDs of the different positions are as follows:
Position ID
| Assistant/Associate/Full professor | IRC21041 |
Lecturer | IRC25450 |
Note: The department currently is not seeking any applicants for any other positions.
The position is available beginning January 2024.
CSE PhD Student Wins the “Best Doctoral Proposal Award” at ICPLM 2021
Tahani Abu Musa, a PhD student at our department, supervised by Prof. Abdelaziz Bouras, has received the “IFIP WG5.1 Award of the Best Doctoral Proposal” during the IFIP 18th International Conference on Product Lifecycle Management (PLM) held on 11-14 July 2021, Curitiba, Brazil.
Tahani’s presented research plan titled “Anomaly Detection in Blockchain-enabled Supply Chain: A Deep Learning Approach” deals with the development of an anomaly detection framework, for detecting anomalous transactions in business processes. Her research work focuses on three objectives:
- Improve the accuracy of anomaly detection in the Supply Chain large volume of transactions, using a deep learning-based approach.
- Provide anomalies classification, to improve the Supply Chain business processes, by utilizing Ontology as a smart knowledge base.
- Enhance and secure the Supply Chain information system by incorporating Blockchains in the global network and building more reliable Smart Contracts.
CSE Research Team Wins in AI National Competition
A research team from CSE department has won the first place at Track 2 (Proof of concept and Demos) of the 2nd annual Artificial Intelligence National Competition announced today by the organizing committee. The team consists of Nandhini Subramanian (Research Assistant and former CSE MSc student), Dr. Omar Elharrouss, Post Doc Researcher at our department, and Prof. Somaya Al Maadeed. The winning demo is titled “Reversible Image Steganography Using Auto Encoder-Decoder Deep Learning Methods”, which is part of QNRF NPRP11S-0113- 180276 project.
Image steganography is used to hide secret images inside the cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret binary bits. Overloading the cover image may lead to distortions and the secret information may become visible. Hence the hiding capacity of the traditional methods are limited. In their project, an unique, light-weight and simple deep convolutional auto encoder architecture is proposed to embed the secret image inside the cover image as well as to extract the embedded secret image from the reconstructed stego image.
The AI national competition is a national competition challenging students, developers, professionals, and researchers to develop and demonstrate how humans can collaborate with powerful Artificial Intelligence (AI) technologies to tackle some challenges for different applications. It raises awareness of AI technologies in Qatar, supports building local capacity in this timely and crucial area, and provides a platform for participants to share AI ideas and applications.
Dr. Khaled Shaban promoted to Professor
تهانينا القلبية لد. خالد شعبان على ترقيته لدرجة أستاذ بقسم علوم وهندسة الحاسب وتمنياتنا له بالتوفيق في خطواته المستقبلية.
Congratulations to Dr. Khalid Shaban for his promotion to Professor rank and we wish him great success in his future endeavors
CSE faculty co-edited new Springer book
Prof. Abdelaziz Bouras and Dr. Abdulaziz Al-Ali co-edited a new Springer book on “Data Analytics for Cultural Heritage – Current Trends and Concepts”. The book highlights challenges and solutions related to the improvement of the
data acquisition, data enrichment, and data management processes in the cultural heritage data lifecycle pipeline. It mainly focuses on the use of advanced artificial intelligence and machine learning technologies with an emphasis on recent applications related to deep learning for visual recognition, generative models, natural language processing and super-resolution.