Sarra Jebri | Computer Science | Best Researcher Award

Posted on by ScienceFather

Dr. Sarra Jebri | Computer Science | Best Researcher Award

Assistant professor of National Engineering School of Gabes, Tunisia

Sarra Jebri is an accomplished researcher and educator with a robust background in telecommunications. She earned her PhD from Ecole Nationale d’Ingénieurs de Tunis, specializing in IoT security and privacy, and has a comprehensive educational foundation that includes a National Diploma of Engineering and a Master’s in Instrumentation and Communication. Her professional experience includes significant teaching roles at the National School of Engineers in Gabès, reflecting her expertise in the field. Jebri’s research focuses on critical areas such as security, mutual authentication, and IoT, with several influential publications presented at international conferences. 🌟🌿🔬

Professional profile

Education📚

Sarra Jebri holds a PhD in Telecommunications from Ecole Nationale d’Ingénieurs de Tunis (ENIT) with a focus on Internet of Things (IoT) security and privacy. Her academic journey includes a National Diploma of Engineering in Communications and Networks from Ecole Nationale d’Ingénieurs de Gabès (ENIG), where she studied IPTV services, and a Master’s degree in Instrumentation and Communication from the Faculty of Sciences of Sfax, focusing on information system design. She also has a Bachelor’s Degree in Mathematics. Her diverse educational background underscores her strong foundation in telecommunications and related fields, preparing her well for research excellence.

Professional Experience🏛️

Sarra Jebri has extensive teaching experience in telecommunications, having served as a Contractual Teacher at the National School of Engineers in Gabès from 2020 to 2024 and as a Vacant Teacher from 2014 to 2019. This teaching experience, combined with her practical knowledge in the field, demonstrates her capability in both academic and applied research environments.

Research Interest🌐

Sarra Jebri’s research focuses on security, mutual authentication, privacy, and IoT. Her recent publications include notable works such as “Local Learning-based Collaborative Authentication In Edge-Fog Network” and “Light Automatic Authentication of Data Transmission in 6G/IoT Healthcare System,” presented at prestigious international conferences. Her research contributions are recognized through multiple conference papers, indicating a strong engagement with current challenges in her field.

Certifications🏆

Jebri has obtained several certifications, including Cisco and Huawei networking and security qualifications, and has strong programming skills in C, C++, Java, and Matlab. Her certifications reflect her ongoing commitment to professional development and her ability to apply theoretical knowledge in practical scenarios.

Publications top noted📜

Sayyed Ahmed | Computer Science | Best Scholar Award

Posted on by ScienceFather

Mr. Sayyed Ahmed | Computer Science | Best Scholar Award

Assistant Professor of  Aligarh Muslim University, India

Dr. Sayyed Usman Ahmed is a dedicated academic and researcher in the field of computer engineering, specializing in artificial intelligence and legal reasoning. He has been recognized for his contributions with awards such as the Best Paper Award (2022-23) and the Visvesvaraya Part-Time PhD Fellowship (2018-19). His teaching and research continue to inspire and shape the next generation of engineers and technologists.

Publication profile

Education

Dr. Sayyed Usman Ahmed holds a Ph.D. in Computer Engineering from Aligarh Muslim University (AMU), India, where he conducted research on “Decision Intelligence in Augmentation of Legal Reasoning” under the supervision of Prof. Nesar Ahmad. His thesis was submitted on March 6, 2024. He earned his M.Tech in Computer Engineering from Rajasthan Technical University (2012-2014) with a thesis on evaluating the efficiency and effectiveness of code reading techniques, supervised by Dr. Rajendra Purohit. He completed his B.Tech in Computer Engineering from AMU (2003-2007), with a project on fingerprint detection systems under the guidance of Prof. M. Sarosh Umar and Prof. Syed Atiqur Rahman.

Experience

Dr. Ahmed has extensive experience in academia and industry. He is currently an Assistant Professor at AMU, teaching courses in software engineering, data structures, information security, and programming labs. He has also served as a Deputy Head of the Information Technology department at Jodhpur Institute of Engineering and Technology, where he contributed significantly to teaching, course development, and departmental administration. In the industry, he has worked as an Application Software Engineer at Computer Science Corporation, focusing on software maintenance, bug fixes, and enhancements. Additionally, he has served in various capacities at the Computer Centre of AMU, including roles as a Programmer and Technical Consultant.

Research focus

Dr. Ahmed’s research interests encompass artificial intelligence, machine learning, natural language processing, and decision intelligence. He has published extensively in journals and conferences, focusing on areas such as sentiment analysis, depression detection from social media posts, rumor-free social networks, and news article summarization. His recent research includes a framework for legal case brief generation using natural language processing and smart contract generation through NLP and blockchain.

Publication top notes

1. Ahmad, T., Ahamad, M., Ahmed, S. U., Ahmad, N. (2022) Short question-answers
assessment using lexical and semantic similarity based features, Journal of Discrete
Mathematical Sciences and Cryptography, 25:7, 2057-2067, DOI:
10.1080/09720529.2022.2133245 [ESCI & Scopus]

2. Ahmed, S. U., Ahmad, T., Ahmad, N. (2022). Sentiment Analysis Techniques for
Depression Detection from Micro-Blogging Social Media Post. NueroQuantology
DOI: 10.14704/NQ.2022.20.12.NQ77265 [Scopus]

3. Ahmad, T., Ahmed, S. U., Ali, S. O., & Khan, R. (2020). Beginning with exploring the
way for rumor free social networks. Journal of Statistics and Management Systems, 23(2),
231-238. https://doi.org/10.1080/09720510.2020.1724623 [Web of Science]

4. Ahmad, T., Ahmed, S. U., Ahmad, N., Aziz, A., Mukul, L. (2020). News Article
Summarization: Analysis and Experiments on Basic Extractive Algorithms. International
Journal of Grid and Distributed Computing, 13(2), 2366 – 2379. [Web of Science]

5. Ahmed, S. U. (2018). Monitoring Unscheduled Leaves using IVR. Global Journal of
Computer Science and Technology, 18(1), 7–9. [Peer-reviewed]

6. Ahmed, S. U., & Purohit, R. (2014). Evaluating Efficiency and Effectiveness of Code
Reading Technique with an Emphasis on Enhancing Software Quality. International
Journal of Computer Applications, 2, 32-36. [Peer-reviewed]

7. Ahmed, S. U., Azmi, M. A., Badgujar, C., (2014). How to design and test safety critical
software systems. International Journal of Advances in Computer Science and Technology,
3(1), 19-22. [Peer-reviewed]

8. Ahmed, S. U., Sahare, S. A., & Ahmed, A. (2013). Automatic test case generation using
collaboration UML diagrams. World Journal of Science and Technology. 2, [Peerreviewed]

9. Ahmed, S. U., & Azmi, M. A. (2013). A Novel Model Based Testing (MBT) approach for
Automatic Test Case Generation. International Journal of Advanced Research in
Computer Science, 4(11), 81-83. [Peer-reviewed]

Journal Publications (Under Review)
1. Ahmed, S. U., Ahmed, N., Ahmad, T. (2023) A Rhetorical Role Relatedness (RRR)
framework for Legal Case Brief Generation Natural Language Processing Journal
(Elsevier, Submitted)