German Jordanian University-Jordan

Author Profile

Early Academic Pursuits

Dr. Nadia AL-Rousan embarked on her academic journey with a strong focus on computer engineering and artificial intelligence. Her passion for these fields led her to pursue a Ph.D. in Computer Engineering with a specialization in Artificial Intelligence. During her formative years, she developed a wide array of skills encompassing artificial intelligence, data encryption, computer networks, information security, and renewable energy. This diverse educational background laid the foundation for her future endeavors in research and academia.

Professional Endeavors

As an accomplished assistant professor, Dr. Nadia AL-Rousan has dedicated over twelve years to teaching and research across various esteemed institutions worldwide. Her teaching portfolio includes a diverse range of courses, spanning computer networks, information technology, artificial intelligence, machine learning, advanced neural networks, deep learning, and expert systems. This extensive experience has not only shaped her teaching methodology but also deepened her understanding of these critical fields.

Contributions and Research Focus

Dr. Nadia AL-Rousan's research focus spans multiple domains within computer engineering and artificial intelligence. Her expertise includes artificial intelligence, data encryption, data concealment, computer networks, information security, data science, and renewable energy. She is particularly interested in the intersection of artificial intelligence and cybersecurity, developing innovative solutions to safeguard sensitive information in digital environments. Additionally, her research in renewable energy demonstrates her commitment to leveraging technology for sustainable development.

Accolades and Recognition

Dr. Nadia AL-Rousan's contributions to the field have earned her significant recognition, both nationally and internationally. In 2022, she was classified as one of the top ten women working in technology globally, specifically in the category of artificial intelligence. This prestigious acknowledgment underscores her exceptional contributions to the field and her role as a leading figure in AI research and application. Furthermore, she was honored with the WomenTech Global AI Inclusion Award, recognizing her efforts to promote diversity and inclusion within the tech industry.

Impact and Influence

Beyond her research and academic achievements, Dr. Nadia AL-Rousan's impact extends to her role as an ambassador for the WomenTeck network. Through her advocacy and mentorship, she has inspired countless individuals, particularly women, to pursue careers in technology. Her involvement in various academic networks and professional organizations further amplifies her influence, promoting diversity and inclusion within the tech industry.

The Applications of Computer Vision Award recognizes individuals who have demonstrated outstanding contributions to the field of computer vision through innovative research and impactful applications. This prestigious award celebrates researchers who have pushed the boundaries of computer vision technology, unlocking new possibilities in various domains such as image recognition, object detection, video analysis, and autonomous vehicles.

Legacy and Future Contributions

Looking ahead,Dr. Nadia AL-Rousan remains committed to advancing her research in artificial intelligence, cybersecurity, and renewable energy. She aims to explore new frontiers in AI-driven solutions, addressing emerging challenges in data security and sustainable technology development. As she continues to push the boundaries of knowledge and inspire the next generation of technologists, her work will undoubtedly leave a lasting impact on the field of computer engineering and artificial intelligence.

Dr. Nadia AL-Rousan's career exemplifies the profound impact that dedicated individuals can have on advancing technology and fostering inclusivity within the industry. Her multifaceted expertise and unwavering commitment to her fields of study position her as a leading figure in contemporary technology research, shaping the future of AI and cybersecurity.

Citations

Citations 901
h-index 13
i10-index 16

Notable Publication

Sareh-Akbarpoor-Applications of Computer Vision-Best Researcher Award

Posted on 26/04/202426/04/2024 by ScienceFather

Ms. Sareh-Akbarpoor-Applications of Computer Vision-Best Researcher Award

Northumbria University-United Kingdom

Author Profile

Scopus

Early Academic Pursuits

Ms. Sareh Akbarpoor embarked on her academic journey with a strong foundation in Civil Engineering, which she pursued with great fervor. Graduating with a Master of Science degree in Civil Engineering, she honed her skills and knowledge in the intricacies of structural engineering. Her academic pursuits during this time laid the groundwork for her future endeavors, instilling in her a passion for research and a drive for excellence.

Professional Endeavors

Entering the professional arena, Ms. Sareh Akbarpoor career trajectory took her through diverse domains within structural engineering. Her roles encompassed the design of steel and reinforced concrete structures, as well as involvement in seismic rehabilitation projects. These experiences provided her with invaluable practical insights into real-world challenges, enriching her understanding of structural behavior and performance.

Contributions and Research Focus

Ms. Sareh Akbarpoor's transition into academia marked a pivotal point in her career, where she delved deeper into research and scholarly pursuits. As a PhD student at Northumbria University, her primary focus centers around enhancing the performance of concrete structures through the application of strengthening techniques, particularly the NSM FRP system. Her approach integrates experimental, numerical, and analytical studies, aiming to contribute novel insights to the field of structural engineering.

Additionally, her involvement in research projects at the Department of Civil and Environmental Engineering of Shiraz University of Technology broadened her horizons. From contributing to the development of a comprehensive book on seismic design to conducting experimental and numerical studies on structural elements, her participation significantly advanced the state of knowledge in the field.

Accolades and Recognition

Throughout her academic and professional journey, Ms. Sareh Akbarpoor has garnered recognition for her exceptional contributions and achievements. Her dedication to advancing knowledge and addressing real-world challenges within structural engineering has earned her accolades from peers and mentors alike. Her commitment to excellence and innovation serves as a testament to her unwavering pursuit of academic and professional excellence.

Impact and Influence

Ms. Sareh Akbarpoor's work transcends the boundaries of academia, impacting both research and practice within the field of structural engineering. Through her research endeavors, she seeks to address pressing challenges and push the boundaries of current knowledge, ultimately shaping the future of the discipline. Her insights and contributions have the potential to revolutionize approaches to structural strengthening, paving the way for safer and more resilient infrastructure worldwide.

In a rapidly evolving technological landscape, the Applications of Computer Vision Award stands as a beacon of innovation and excellence. This prestigious accolade recognizes individuals and teams who have demonstrated remarkable prowess in harnessing computer vision techniques to solve complex problems across diverse domains. From image recognition and object detection to machine learning and visual perception, recipients of this award have pushed the boundaries of what is possible, driving advancements that have far-reaching implications for industries ranging from healthcare and manufacturing to autonomous vehicles and security.

Legacy and Future Contributions

As Ms. Sareh Akbarpoor continues to progress in her academic and professional journey, her legacy is bound to leave a lasting impact on the field of structural engineering. Through her research, teaching, and professional endeavors, she is shaping the next generation of engineers and researchers while advancing the frontiers of knowledge in her field. Her commitment to excellence, coupled with her innovative approach to research, ensures that her contributions will endure and continue to inspire future generations of scholars and practitioners alike.

Notable Publication

Ali-Jahedsaravani-Object Detection and Recognition-Editorial Board Member

Posted on 25/01/202425/01/2024 by ScienceFather

Ali-Jahedsaravani-Object Detection and Recognition-Editorial Board Member

Khatam al Anbiya University-Iran

Author Profile

Orcid

Early Academic Pursuits

Dr. Ali Jahedsaravani embarked on his academic journey with a strong foundation in Electronic Engineering, earning his Bachelor's degree from Islamic Azad University, Iran, Birjand, in 2007. He further pursued his academic interests, attaining a Master's degree in Automation and Control Engineering from Islamic Azad University, Gonabad branch, Iran, in 2011. His commitment to excellence in education continued as he earned a Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, in 2015, achieving a remarkable GPA of 3.75 on a scale of 4.

Professional Endeavors

Following his educational pursuits, Dr. Jahedsaravani dedicated himself to academic and research roles. He has been serving as an Assistant Professor in the Faculty of Engineering at Khatam al-Anbiya University since 2018. Prior to this, he held the position of Lecturer at the same institution from 2016 to 2018.

Contributions and Research Focus

Dr. Ali Jahedsaravani has made significant contributions to the fields of Machine Learning, Digital Image Processing, Deep Learning, and Intelligent Control Systems. His research work spans various aspects of these domains, showcasing a diverse set of skills and expertise.

Accolades and Recognition

Throughout his academic and research career, Dr. Jahedsaravani has received recognition for his outstanding contributions. Notably, he has been awarded a research grant titled "Machine Vision-Based Control of Flotation Process" by the Iran National Science Foundation in 2018-2019.

Impact and Influence

Dr. Jahedsaravani's research has left a lasting impact on the field, particularly in the application of machine vision to monitor and control batch flotation processes. His work on image analysis, neural networks, and fuzzy-based modeling has advanced the understanding of metallurgical processes.

Legacy and Future Contributions

As a distinguished academician and researcher, Dr. Ali Jahedsaravani's legacy lies in his commitment to advancing knowledge in Automation and Control Engineering. His future contributions are anticipated to further shape the landscape of machine learning applications in industrial processes, leaving a lasting imprint on the scientific community.

This comprehensive overview highlights Dr. Jahedsaravani's academic journey, research focus, and the significant impact he has made in the field of Automation and Control Engineering.

Notable Publication

Saud-Altaf-Deep Learning for Computer Vision-Excellence in Research

Posted on 25/01/202425/01/2024 by ScienceFather

Saud-Altaf-Deep Learning for Computer Vision-Excellence in Research

National Skills Univerity-Pakistan

Author Profile

Orcid

Early Academic Pursuits

Prof. Dr. Saud Altaf began his academic journey with a strong foundation in computer science. He obtained his Bachelor's degree in Computer Science from Muhammad Ali Jinnah University, Pakistan, in 2002. His undergraduate project focused on "E-Auction through WAP," showcasing his early interest in the intersection of technology and business processes.

He further pursued his academic journey and completed his Master's in Computer Science from IQRA University, Pakistan, in 2007. His thesis, titled "Real Time Intrusion Detection System using Mobile Agent," demonstrated an early engagement with cybersecurity and real-time systems.

This academic progression laid the groundwork for Prof. Saud Altaf's future contributions in the field of information technology.

Professional Endeavors

Prof. Saud Altaf's professional career spans various roles, showcasing a diverse skill set and a commitment to both academia and industry. His experience includes roles such as Software Developer at PMAS-AAUR University Institute of Information Technology, Rawalpindi, Pakistan, from January 2005 to August 2006. During this period, he honed his expertise in web development and ERP system development.

His international exposure includes serving as an IT Lecturer at Cornell Institute of Information and Business Technology in Auckland, New Zealand, from September 2012 to October 2015, and as a Visiting IT Lecturer at Auckland University of Technology, New Zealand, from August 2011 to October 2014. These experiences provided him with a global perspective on IT education and research.

Prof. Saud Altaf has held administrative positions, including Assistant Director - IT at Pir Mehr Ali Shah Arid Agriculture University, Pakistan, from August 2006 to January 2017, and currently, he serves as a Professor and Chairperson of the Department of Information Engineering Technology at the National Skills University, Islamabad, Pakistan.

Contributions and Research Focus

Prof. Saud Altaf's research focus revolves around cutting-edge technologies, evident from his Ph.D. from Auckland University of Technology, New Zealand, in 2015. His dissertation, titled "Smart Sensor Network Organization: Sensor Data Fusion and Industrial Fault Traceability," reflects his deep involvement in the integration of sensor networks and industrial applications.

He has been actively involved in research projects, including being the Principal Investigator for a project on "Low Power Efficient Wireless Data transmission using Visible Light Communication," funded by the Higher Education Commission of Pakistan from April 2017 to April 2018.

Prof. Saud Altaf's supervision of Ph.D. and MS researchers highlights his commitment to nurturing the next generation of scholars. His supervision has resulted in significant contributions to various domains, such as intelligent systems, IoT-based applications, and machine learning techniques.

Accolades and Recognition

Prof. Saud Altaf has received recognition for his research contributions, as evident from various conference presentations and journal publications. He has actively presented his work at international conferences, contributing to the global discourse on topics ranging from gesture recognition systems to wireless sensor networks.

His research papers have been published in reputable journals, and he has received several grants and scholarships, including a substantial research project grant from the Higher Education Commission of Pakistan.

Impact and Influence

Prof. Saud Altaf's work has made a tangible impact on the fields of wireless sensor networks, machine learning, and IoT applications. His research on fault diagnosis, gesture recognition, and wireless communication systems has practical implications for industries and academia alike.

The successful completion and ongoing progress of Ph.D. and MS researchers under his guidance underscore his influence in shaping the future of research in information technology.

Legacy and Future Contributions

Prof. Saud Altaf's legacy lies in his multidimensional contributions to academia, research, and industry. As a seasoned educator, administrator, and researcher, he has left an indelible mark on the institutions he has served.

His commitment to ongoing research, mentorship, and participation in international conferences indicates a trajectory of continued contributions. Prof. Saud Altaf's future endeavors are likely to further enrich the landscape of information technology, particularly in areas such as intelligent systems, IoT, and wireless communication.