Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

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Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications:

 

 

Oluwafemi Oke | Cybersecurity And Cryptography | Best Researcher Award

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Mr. Oluwafemi Oke, Cybersecurity And Cryptography, Best Researcher Award

Oluwafemi Oke at Near East University, Cypus

Oke Oluwafemi is a highly motivated and skilled Ph.D. candidate in Artificial Intelligence with a strong desire for a remote position in machine learning. He has demonstrated success in leading research projects, developing AI algorithms, and implementing AI solutions across various industries. Oke possesses expertise in machine learning, natural language processing, and computer vision. His proficiency extends to languages such as Python, and frameworks including TensorFlow and PyTorch. He holds a Bachelor’s degree in Computer Engineering, a Master’s degree in Computer Science with a focus on Software Engineering, and is currently pursuing his Doctor of Philosophy in Computer Information Systems with a concentration in Artificial Intelligence.

Education:

Babcock University

  • Degree: Bachelor of Science in Computer Engineering
  • Duration: July 2016
  • Project: Radio Frequency Identification in Doors

Babcock University

  • Degree: Master of Science in Computer Science (Software Engineering)
  • Duration: August 2020
  • Thesis: Hybrid Intelligent Internet of Things (IOT) Systems for Automated Homes

Near East University

  • Program: Doctor of Philosophy (PhD)
  • Duration: March 2021 – Present

Profile:

Professional  Experience:

AI Engineer, Cadbury Plc, 2015

  • Developed and deployed AI-based solutions for clients in various industries.
  • Implemented machine learning algorithms for image and speech recognition, improving accuracy by 23%.

AI Consultant, Corporate Affairs Commission, 2017

  • Provided expert guidance and consulting services on AI implementation.
  • Conducted workshops on machine learning and deep learning.
  • Built and trained models for natural language processing and computer vision tasks.

Data Scientist, NEU Cardiac Centre, 2020

  • Developed a healthcare diagnostic tool using machine learning and image recognition, achieving 94% accuracy in identifying cancerous cells.
  • Conducted analysis of customer behavior using NLP on social media data, leading to a targeted marketing strategy and a 15% increase in conversions.

Machine Learning Engineer, Harvest, 2022

  • Led the development of a recommendation system using deep learning, increasing user engagement by 30% and sales by 25%.
  • Led a team to implement an autonomous vehicle navigation system, achieving 99.5% accuracy in real-world scenarios.

Research Interests:

Mr. Oluwafemi Oke has amassed a wealth of research experience across various domains of artificial intelligence (AI) and machine learning (ML). As a Research Assistant at Daxlinks in 2020, he focused on deep learning techniques within the realm of machine learning, contributing significantly to user engagement improvements by developing a novel approach that yielded a remarkable 45% increase in interaction accuracy. His tenure at GIFA INC in 2021 saw him collaborating on groundbreaking research projects exploring the intersection of AI and climate science, as well as devising a cutting-edge deep learning model for financial market forecasting, achieving an impressive 85% accuracy rate. Additionally, he played a pivotal role in enhancing language translation models using Transformer architectures, leading to a noteworthy 20% enhancement in translation accuracy, which garnered recognition within the academic community. Subsequently, as a Research Scientist at Near East University in 2022, Mr. Oke spearheaded the development of advanced algorithms for image and video analysis, resulting in the acquisition of several patents. Moreover, his contributions to research in natural language understanding culminated in multiple publications in prestigious conferences and journals. Notably, Mr. Oke led a team of researchers in the creation of an AI-based predictive maintenance system for industrial equipment, achieving a remarkable 67% reduction in downtime and a significant 97% increase in efficiency.

Publications:

Artificial Intelligence for Computer Vision: A Bibliometric Analysis

  • Year: 2023
  • Author(s): Oluwafemi Oke
  • Journal: [Journal Name] (Please insert the name of the journal where the paper was published.)
  • Volume: [Volume Number]
  • Issue: [Issue Number]
  • Pages: [Page Range]

Brain-Computer Interfaces: High-Tech Race to Merge Minds and Machines

  • Year: 2023
  • Author(s): Oluwafemi Oke
  • Journal: [Journal Name] (Please insert the name of the journal where the paper was published.)
  • Volume: [Volume Number]
  • Issue: [Issue Number]
  • Pages: [Page Range]

The Impact of Artificial Intelligence in Foreign Language Learning Using Learning Management Systems: A Systematic Literature Review

  • Year: 2023
  • Author(s): Oluwafemi Oke
  • Journal: [Journal Name] (Please insert the name of the journal where the paper was published.)
  • Volume: [Volume Number]
  • Issue: [Issue Number]
  • Pages: [Page Range]

Introduction of CyberGuard Excellence Award

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Introduction of CyberGuard Excellence Award:

Introduction:

Welcome to the prestigious 'CyberGuard Excellence Award'—an honor recognizing outstanding achievements and innovations in the realms of cybersecurity and cryptography. This award seeks to celebrate individuals who have demonstrated exceptional contributions to the field, pushing the boundaries of knowledge and enhancing the digital security landscape.

Eligibility:

The CyberGuard Excellence Award is open to professionals, researchers, and academics globally, spanning various sectors within the cybersecurity and cryptography domains. There are no age limits, and individuals at any career stage are encouraged to apply.

Qualification and Publications:

Applicants must hold a relevant degree in cybersecurity, computer science, or a related field. A track record of impactful publications, patents, or innovations in the cybersecurity and cryptography space is highly regarded.

Requirements:
  • Submission of a comprehensive biography outlining the applicant's professional journey.
  • Abstract highlighting the key contributions and innovations.
  • Supporting files containing relevant publications, patents, or project details.
Evaluation Criteria:

Entries will be assessed based on the depth of research, practical applications, and the overall impact on the cybersecurity and cryptography community. Originality, relevance, and the potential for future contributions will be key factors.

Submission Guidelines:
  • Applications can be submitted online through the official award portal.
  • Deadline for submissions is [insert date].
  • Ensure all documents are in PDF format.
  • Clearly label and organize supporting files.
Recognition:

Winners will receive a prestigious CyberGuard Excellence Award trophy, a certificate of recognition, and widespread acknowledgment within the cybersecurity community. The award ceremony will be a part of a high-profile industry event.

Community Impact:

The CyberGuard Excellence Award aims to highlight individuals whose work has made a significant impact on the wider cybersecurity community, fostering collaboration and knowledge exchange.

Biography:

Applicants should provide a detailed biography, emphasizing their journey, achievements, and contributions to the cybersecurity and cryptography fields.

Abstract and Supporting Files:

A concise abstract summarizing the essence of the applicant's work must be included. Supporting files should provide additional context, such as publications, patents, or project details.

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Introduction of CyberGuard Excellence Award
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Introduction of CryptoInnovate Achievement Award
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Introduction of SecureScholar Research Award
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Introduction of TechShield Innovation Award
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Introduction of InfoSec Mastery Award
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Introduction of CipherQuest Leadership Award
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Introduction of SecureBiz Innovator Award
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Introduction of TechDefender Research Excellence Award
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Introduction of CryptoPinnacle Achievement Award
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