Rihab Mâaloul Abid – Computer science – Best Researcher Award

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Rihab Mâaloul Abid - Computer science - Best Researcher Award

isima - Tunisia

AUTHOR PROFILE

SCOPUS

🔬 CURRENT POSITION

Rihab Mâaloul Abid is a prominent member of the LT2S (Laboratoire des Technologies des Systèmes Smart) at the Centre de Recherche en Numérique de Sfax, Technopôle. She also serves as a Maître Assistant at the Institut Supérieur d'Informatique et de Multimédia de Mahdia (ISIMa), where she contributes to both teaching and research in the field of computer science and multimedia.

🎓 ACADEMIC BACKGROUND

Dr. Mâaloul Abid earned her Doctorate in Engineering of Computer Systems in April 2018 from ENIS, Université de Sfax, Tunisia. Her doctoral research focused on energy-aware routing in carrier-grade Ethernet networks, under the supervision of Prof. Lamia Chaari Fourati at LT2S. She also holds a Master’s degree in Computer Science and Multimedia from the Institut Supérieur d'Informatique et de Multimédia de Sfax, where she conducted in-depth analysis of scheduling mechanisms for WiMAX networks, receiving a "Très bien" distinction.

💻 RESEARCH INTERESTS

Dr. Mâaloul Abid's research is primarily focused on innovative networking technologies and energy efficiency in communication systems. Her work on energy-aware routing and scheduling mechanisms for networks, including WiMAX, reflects her dedication to advancing the efficiency and sustainability of digital infrastructures. Her academic journey began with a Bachelor’s degree in Computer Science and Multimedia, where her project on automatic brain tissue segmentation for tumor detection laid the groundwork for her future research endeavors.

📚 TEACHING AND PEDAGOGICAL ACTIVITIES

As an educator, Dr. Mâaloul Abid has been actively involved in teaching a variety of courses at ISIMS. During the 2021-2022 academic year, she taught courses on network services, operational research, and programming workshops to students pursuing degrees in computer science. Her commitment to education extends beyond traditional lectures, as she is deeply involved in developing practical skills in her students, ensuring they are well-prepared for careers in technology and multimedia.

🌍 CONTRIBUTION TO NETWORK SERVICES

Throughout her career, Dr. Mâaloul Abid has made significant contributions to the study and development of network services. Her expertise in foundational and advanced network topics has been shared with her students, helping to shape the next generation of computer scientists. Her work in this area is recognized for its practical applications and relevance to the evolving needs of digital communication systems.

🔧 INNOVATION IN COMPUTER SCIENCE

Innovation is at the heart of Dr. Mâaloul Abid’s research. Her focus on energy-aware technologies and system optimization highlights her commitment to creating more efficient and sustainable computing environments. Her ongoing research in smart systems and her role in the LT2S laboratory position her as a key player in the field of computer science innovation.

🏅 ACADEMIC EXCELLENCE

Throughout her academic career, Dr. Mâaloul Abid has consistently demonstrated excellence, receiving honors and distinctions for her work. From her undergraduate studies to her doctoral research, her dedication to her field has been evident, earning her respect and recognition within the academic community.

Dalhatu Muhammed – Computer Science – Best Researcher Award

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Dalhatu Muhammed - Computer Science - Best Researcher Award

Institut Supérieur D’electronique De Paris - France

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS

Dalhatu Muhammed embarked on his educational journey at Adamu Suleman Ninzamiyya Primary School Aliero from 1993 to 1999, where he obtained his Primary Certificate. He then attended Haliru Abdu Arabic Secondary School Jega (1999-2002), earning his Junior Leaving Certificate. Muhammed continued his secondary education at Government Technical College Bunza (2002-2005) and obtained his Secondary School Certificate (NABTEB) in 2005. Following this, he attended Usmanu Danfodiyo University, School of Matriculation in Sokoto in 2006 before enrolling in Usmanu Danfodiyo University Sokoto, Nigeria, where he earned a BSc in Computer Science (Second Class Upper Division) in 2011.

Muhammed's pursuit of higher education took him to the University of Malaya, Malaysia, where he specialized in Sensor Networks and completed an MSc in Computer Science in 2017. Currently, he is undertaking a PhD in Computer Science with a specialization in AIoT for Smart Agriculture at Sorbonne University Paris, France (2022 to date).

PROFESSIONAL ENDEAVORS

Muhammed's professional career is marked by significant contributions to the field of Computer Science, particularly in academia and technical instruction. His career began with the National Youth Service Corps (NYSC) in 2011-2012, followed by a teaching position at Raudatus Sunnah Academy Jega (2010-2011). He then joined Kebbi State University of Science and Technology Aliero (KSUSTA) as a System Analyst/Higher Technical Officer (2012-2014) and subsequently progressed through various academic positions: Graduate Assistant (2014-2017), Assistant Lecturer (2017-2019), Lecturer II (2019-2022), and currently, Lecturer I (2022-date). Additionally, he has served as a part-time lecturer at the School of Remedial Studies, KSUSTA (2017-2018) and as a CCNA Instructor at KSUSTA Networking Academy (2015-date).

CONTRIBUTIONS AND RESEARCH FOCUS

Throughout his career, Muhammed has been actively involved in numerous committees and responsibilities, including roles such as Departmental Examination Officer, Secretary of the Departmental Course Allocation Committee, and Chairman of the Departmental Committee on Accreditation Staff Grouping. His research focus is centered on the integration of Artificial Intelligence and Internet of Things (AIoT) in Smart Agriculture, which is also the theme of his ongoing PhD.

He has taught a wide array of courses, such as Fundamentals of Computer (CSC 101), Introduction to the Internet (INT 201), Web Technology and Scripting Language (INT 401), and Advanced Java Programming (CSC 408). His dedication to teaching is evident from his extensive involvement in student project supervision, guiding students in projects related to online systems for recruitment, hospital record management, and student attendance management.

IMPACT AND INFLUENCE

Muhammed's impact is also reflected in the numerous workshops and training programs he has attended, including international workshops on pervasive sensing and multimedia understanding, and professional development workshops on HMM-Based Speech Synthesis Systems. His contributions to academic conferences, such as the International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), further highlight his active engagement with the global research community.

ACADEMIC CITATIONS

Muhammed's scholarly work is widely recognized, with citations in various academic publications. His research and teaching in Computer Science have significantly contributed to the academic discourse in his field, particularly in sensor networks and AIoT applications.

LEGACY AND FUTURE CONTRIBUTIONS

Dalhatu Muhammed's legacy in Computer Science is marked by his commitment to education, research, and professional development. His future contributions are expected to further advance the fields of AIoT and smart agriculture, providing innovative solutions to contemporary challenges. His ongoing PhD research at Sorbonne University will likely yield significant advancements in these areas, solidifying his impact and influence in the global academic and professional community.

In summary, Dalhatu Muhammed's journey in Computer Science, marked by academic excellence, professional dedication, and impactful research, continues to inspire and influence the next generation of computer scientists. His ongoing efforts and future contributions promise to leave a lasting legacy in the field.

NOTABLE PUBLICATION

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions 2024

Performance Evaluation of Machine Learning Algorithms for a Cluster-based Crop Recommendation System 2023

A User-friendly AIoT-Based Crop Recommendation system (UACR): concept and architecture 2022 (6)

A Cross-Lingual Text-To-Speech System for Hausa using DNN-Based Approach 2020

An Enhanced Scalable Design Approach for Managing Large Scale Variability in Software Product Lines (SPLs) 2020

Dajian Zhong – Scene Text Recognition – Best Researcher Award

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Dajian Zhong - Scene Text Recognition - Best Researcher Award

Shanghai Maritime University - China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Dr. Dajian Zhong's academic journey commenced with a strong foundation in Computer Science and Technology, beginning with a Bachelor's degree from Suzhou University of Science and Technology. He furthered his studies with a Master's degree from East China University of Science and Technology, specializing in Computer Science and Technology. Dr. Zhong's academic pursuits culminated in a Ph.D. in Computer Application Technology from East China Normal University. Throughout his educational journey, he exhibited a keen interest in advancing the field of computer vision, particularly in the domain of scene text recognition.

PROFESSIONAL ENDEAVORS

Dr. Zhong currently serves as a Lecturer in the College of Information Engineering at Shanghai Maritime University, where he imparts knowledge and expertise to aspiring students. His professional career is characterized by a commitment to excellence in research and education, with a focus on computer vision, text detection, and recognition. Through his role as a lecturer, Dr. Zhong continues to inspire and mentor the next generation of computer scientists and engineers.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zhong's research is centered around the advancement of scene text recognition, a critical area within computer vision. His work explores novel algorithms and techniques to improve the accuracy and efficiency of text detection and recognition in complex scenes. By leveraging approaches such as semantic GANs, attention networks, and transformer networks, Dr. Zhong aims to address the challenges associated with arbitrarily oriented and shaped text in real-world environments. His contributions have been published in reputable journals and presented at international conferences, demonstrating his expertise and impact in the field.

IMPACT AND INFLUENCE

Dr. Zhong's research has made a significant impact on the field of scene text recognition, garnering recognition from peers and researchers worldwide. His innovative algorithms and methodologies have advanced the state-of-the-art in text detection and recognition, facilitating applications in various domains, including document analysis, image understanding, and augmented reality. Through his collaborative efforts and interdisciplinary approach, Dr. Zhong continues to shape the future of computer vision and inspire advancements in intelligent systems and technologies.

ACADEMIC CITES

Dr. Zhong's publications have received significant citations from researchers and practitioners in the field of computer vision, attesting to the relevance and impact of his work. His research findings have been instrumental in advancing the understanding and capabilities of scene text recognition systems, contributing to the development of more accurate and robust algorithms for real-world applications. Dr. Zhong's influence extends beyond academia, as his work continues to shape the landscape of computer vision research and technology.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Zhong continues to pursue his research endeavors, his focus remains on pushing the boundaries of scene text recognition and computer vision. Through ongoing collaborations, mentorship, and knowledge dissemination, he seeks to further advance the field and foster innovations that benefit society at large. Dr. Zhong's legacy lies in his dedication to excellence, his passion for advancing knowledge, and his commitment to addressing real-world challenges through cutting-edge research in scene text recognition.

NOTABLE PUBLICATION

LRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition 2024

NDOrder: Exploring a novel decoding order for scene text recognition 2024

Mohammed Ali Almulla – Image recognition and classification – Best Researcher Award

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Mohammed Ali Almulla - Image recognition and classification - Best Researcher Award

Kuwait University - Kuwait

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Dr. Mohammed Ali Almulla embarked on his academic journey at McGill University, Canada, where he earned his Bachelor's, Master's, and Ph.D. degrees in Computer Science. His doctoral thesis focused on the "Analysis of the Use of Semantic Trees in Automated Theorem Proving," completed at McGill University in January 1995.

PROFESSIONAL ENDEAVORS

Dr. Almulla's professional career spans over three decades, starting as an Instructor at Kuwait University and progressing to Assistant Professor, Associate Professor, and eventually Professor. He has dedicated his expertise to Kuwait University, contributing significantly to its academic and administrative domains.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Almulla's research interests encompass various aspects of computer science, with a particular focus on image recognition and classification. His work has been published in numerous international journals and presented at prestigious conferences, contributing to the advancement of knowledge in the field.

IMPACT AND INFLUENCE

Through his extensive academic and administrative roles, Dr. Almulla has made a profound impact on Kuwait University and the broader academic community. His leadership in research, teaching, and university governance has inspired colleagues and students alike.

ACADEMIC CITES

Dr. Almulla's publications have been widely cited in the academic community, reflecting the significance of his research contributions. His work in image recognition and classification has garnered attention from researchers worldwide, shaping the trajectory of this field.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Almulla continues to excel in his academic and professional endeavors, his legacy in computer science and higher education is assured. His future contributions are expected to further advance the field of image recognition and classification, addressing emerging challenges and pushing the boundaries of knowledge in this domain.

NOTABLE PUBLICATION

GeoCover: An efficient sparse coverage protocol for RSU deployment over urban VANETs  2015 (40)