Ahmed Nabih Zaki Rashed | Malware Analysis | Best Researcher Award

Prof Dr. Ahmed Nabih Zaki Rashed, Malware Analysis, Best Researcher Award

Professor at Menoufia university, Egypt

Summary:

Prof. Dr. Ahmed Nabih Zaki Rashed is a renowned expert in Electronics and Electrical Communication Engineering, currently a Full Professor at Menoufia University, Egypt. He received his MSc in 2005 and PhD in 2010, both from Menoufia University. Promoted to Associate Professor in March 2016 and Full Professor in September 2021, Prof. Rashed specializes in optical communication systems, including optical sources, detectors, amplifiers, cables, networks, and related technologies. His research also extends to digital communication systems, computer networks, digital circuits, optical signal processing, and digital filters. A prolific researcher, Prof. Rashed has served on the editorial and reviewer boards of numerous high-impact international journals. His significant contributions to the field have earned him a place among the top 2% of scientists worldwide, as recognized by Stanford University in 2020, 2021, 2022, and 2023.

Profile:

Education:

Prof. Dr. Ahmed Nabih Zaki Rashed completed his MSc in Electronics and Electrical Communication Engineering at the University of Menoufia on June 11, 2005. He continued his academic journey at the same institution, earning his PhD on July 11, 2010. His advanced studies and research have laid a strong foundation for his subsequent academic and professional achievements in the field of optical communication systems and related areas.

Professional Experience:

Prof. Dr. Ahmed Nabih Zaki Rashed has accumulated extensive professional experience in the field of Electronics and Electrical Communication Engineering. Since joining Menoufia University, Egypt, he has steadily advanced through academic ranks, achieving the positions of Associate Professor in March 2016 and Full Professor in September 2021. His tenure has been marked by significant contributions to research and education in optical communication systems, encompassing areas such as optical sources, detectors, amplifiers, cables, networks, measurements, connectors, and various propagation phenomena in optical channels. In addition to his academic roles, Prof. Rashed plays an active role in the editorial and reviewer boards of several prestigious international scientific journals. His expertise extends to digital communication systems, communication networks, electronics, computer networks, planning networks, digital circuits, optical signal processing, digital filters, and advanced techniques in the field. Recognized as one of the top 2% of scientists worldwide by Stanford University in multiple consecutive years (2020, 2021, 2022, and 2023), Prof. Rashed continues to make substantial contributions to the advancement of knowledge in his field. His dedication to research and education is evident in his leadership and scholarly achievements at Menoufia University.

Research Interests:

Prof. Dr. Ahmed Nabih Zaki Rashed is deeply immersed in research focused on advancing optical communication systems and related technologies. His primary interests lie in the comprehensive study of optical sources, detectors, amplifiers, cables, networks, measurements, connectors, and the diverse propagation phenomena within optical channels. Beyond optics, he explores digital communication systems, encompassing the intricacies of communication networks, electronics, computer networks, planning networks, digital circuits, optical signal processing, digital filters, and advanced techniques in these domains. His scholarly pursuits are distinguished by a commitment to enhancing the performance and efficiency of communication technologies through rigorous investigation and innovative methodologies. Prof. Rashed’s research not only contributes significantly to academic literature but also informs practical applications in improving communication infrastructures globally. As a respected member of the academic community, Prof. Dr. Ahmed Nabih Zaki Rashed actively engages in editorial and reviewer roles for esteemed international scientific journals, further underscoring his influence and expertise in the field. His research continues to shape advancements in optical and digital communication systems, positioning him as a leading authority in these critical areas of study.

Publications:

The large hadron–electron collider at the HL-LHC

  • Authors: P Agostini, H Aksakal, S Alekhin, PP Allport, N Andari, KDJ Andre, …
  • Journal: Journal of Physics G: Nuclear and Particle Physics
  • Volume: 48
  • Issue: 11
  • Pages: 110501
  • Citations: 206
  • Year: 2021

Design of D-shaped elliptical core photonic crystal fiber for blood plasma cell sensing application

  • Authors: K Ahmed, BK Paul, B Vasudevan, ANZ Rashed, R Maheswar, IS Amiri, …
  • Journal: Results in Physics
  • Volume: 12
  • Pages: 2021-2025
  • Citations: 159
  • Year: 2019

Phenomenology of B→KB \to K using lattice QCD calculations

  • Authors: A Datta, S Kamali, S Meinel, A Rashed
  • Journal: Journal of High Energy Physics
  • Volume: 2017
  • Issue: 8
  • Pages: 1-39
  • Citations: 140
  • Year: 2017

Mono-rectangular core photonic crystal fiber (MRC-PCF) for skin and blood cancer detection

  • Authors: MMA Eid, ANZ Rashed, AAM Bulbul, E Podder
  • Journal: Plasmonics
  • Volume: 16
  • Pages: 717-727
  • Citations: 136
  • Year: 2021

Do we really need deep learning models for time series forecasting?

  • Authors: S Elsayed, D Thyssens, A Rashed, HS Jomaa, L Schmidt-Thieme
  • Journal: arXiv preprint arXiv:2101.02118
  • Citations: 132
  • Year: 2021

Highly sensitive nonlinear photonic crystal fiber based sensor for chemical sensing applications

  • Authors: MMA Eid, MA Habib, MS Anower, ANZ Rashed
  • Journal: Microsystem Technologies
  • Volume: 27
  • Pages: 1007-1014
  • Citations: 128
  • Year: 2021

Optical image encryption based on chaotic baker map and double random phase encoding

  • Authors: AM Elshamy, ANZ Rashed, AENA Mohamed, OS Faragalla, Y Mu, …
  • Journal: Journal of Lightwave Technology
  • Volume: 31
  • Issue: 15
  • Pages: 2533-2539
  • Citations: 125
  • Year: 2013

Differential optical absorption spectroscopy-based refractive index sensor for cancer cell detection

  • Authors: T Parvin, K Ahmed, AM Alatwi, ANZ Rashed
  • Journal: Optical Review
  • Volume: 28
  • Pages: 134-143
  • Citations: 121
  • Year: 2021

Temperature effects on characteristics and performance of near-infrared wide bandwidth for different avalanche photodiodes structures

  • Authors: IS Amiri, FMAM Houssien, ANZ Rashed, AENA Mohammed
  • Journal: Results in Physics
  • Volume: 14
  • Pages: 102399
  • Citations: 115
  • Year: 2019

Optical communication transmission systems improvement based on chromatic and polarization mode dispersion compensation simulation management

  • Authors: IS Amiri, ANZ Rashed, HMA Kader, AA Al-Awamry, IA Abd El-Aziz, …
  • Journal: Optik
  • Volume: 207
  • Pages: 163853
  • Citations: 113
  • Year: 2020

 

 

Worku Chekol | Cybersecurity And Cryptography | Best Researcher Award

Mr. Worku Chekol, Cybersecurity And Cryptography, Best Researcher Award

Worku Chekol at Teda Health Science College, Ethiopia

Mr. Worku Chekol is a dedicated academic and researcher in the field of medical nursing, currently serving as a Lecturer and Research Coordinator at Teda Health Science College in Ethiopia. He holds a Master of Medical Nursing degree from the University of Gondar, where he graduated with a perfect CGPA of 4.00 in 2012. He also earned his Bachelor of Science in Nursing from Aksum University in 2007, achieving a CGPA of 3.81. Since 2008, Mr. Chekol has been imparting knowledge and skills to students at Teda Health Science College, where he teaches various clinical and health-related courses. In addition to his teaching responsibilities, he has been the Research Coordinator at the same institution since September 2014. His research focuses on critical health issues, with publications addressing acute kidney injury in diabetes patients, herbal medicine use, hyperglycemic emergencies, self-medication practices among pregnant women, hygienic practices in complementary food preparation, eye care service utilization among diabetic patients, and precancerous cervical lesions in HIV-infected women. Mr. Chekol is fluent in both Amharic and English and possesses strong skills in working under pressure, multitasking, and effective communication. He is proficient in several computer applications, including MS Word, MS PowerPoint, MS Excel, SPSS, STATA, EPI INFO, EpiData, and Open Code. His commitment to serving the community and his ability to adapt to challenging environments highlight his dedication to the field of healthcare and education.

Profile:

Education:

Mr. Worku Chekol holds a Master of Medical Nursing degree from the University of Gondar, Ethiopia, which he completed in 2012 with an outstanding Cumulative Grade Point Average (CGPA) of 4.00. Prior to this, he earned a Bachelor of Science degree in Nursing from Aksum University, Ethiopia, in 2007, achieving a CGPA of 3.81. His academic excellence has been a cornerstone of his professional career.

Professional Experience:

Mr. Worku Chekol has been serving as a lecturer at Teda Health Science College since 2008, where he delivers various clinical and health-related courses to students. Since September 2014, he has also taken on the role of Research Coordinator at the same institution, actively engaging in research and academic duties. His dual role as a lecturer and researcher allows him to contribute significantly to both the educational and research fields within the college.

Research Interest:

Mr. Worku Chekol’s research interests encompass a wide range of health-related topics, with a particular focus on the incidence and predictors of acute kidney injury among newly diagnosed type 2 diabetes patients, the prevalence and associated factors of herbal medicine use among patients with chronic diseases, and the outcomes of hyperglycemic emergencies among diabetic patients in Ethiopia. He also investigates self-medication practices among pregnant women, hygienic practices in complementary food preparation for children aged 6-24 months, eye care service utilization among diabetic patients in Africa, and precancerous cervical lesions among HIV-infected women. His work involves systematic reviews and meta-analyses to provide comprehensive insights into these critical health issues.

SKILLS:

Mr. Worku Chekol is fluent in both Amharic and English, which allows him to effectively communicate and collaborate in diverse environments. He excels in working in complex and demanding settings, managing multiple tasks with short deadlines, and performing under intense pressure. His strong communication skills, eagerness to learn, and willingness to collaborate with others make him an effective team player. Mr. Chekol is committed to serving the community and is capable of working in challenging conditions. Additionally, he possesses basic computer skills and is proficient in various software programs, including MS Word, MS PowerPoint, MS Excel, SPSS, STATA, EPI INFO, epi data, and Open Code.

 

 

 

Oluwafemi Oke | Cybersecurity And Cryptography | Best Researcher Award

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]