AFOLABI AWODEYI | Computer Vision | Best Researcher Award

Published on 04/06/202504/06/2025 by CAD Awards

Mr. AFOLABI AWODEYI | Computer Vision | Best Researcher Award

Lecturer , Southern Delta University Ozoro, Delta State ,Nigeria.

🔬 Short Biography 🌿💊📚

👨‍🏫 Engr. Afolabi Awodeyi is a dedicated Lecturer II at Southern Delta University, Ozoro, Delta State, Nigeria 🇳🇬. He is currently pursuing a Ph.D. in Computer Engineering at the University of Uyo. With a distinction in his M.Eng. and multiple diplomas, his academic journey reflects a deep passion for engineering education and innovation 💡. A registered engineer with COREN 🛠️ and a proud member of IAENG 🌍, Engr. Awodeyi has authored several impactful publications in Scopus-indexed journals 📚. His research focuses on computer vision, biometrics (face, iris, fingerprint) 🧠👁️, and intelligent hardware systems 🤖. He’s developed CNN-based biometric fusion systems and self-organizing robots, contributing significantly to access control and smart automation 🔐. His collaborative spirit and commitment to excellence make him a notable force in the tech research landscape 🚀.

Profile

ORCID PROFILE

GOOGLE SCHOLAR PROFILE

🎓 Education

Engr. Afolabi Awodeyi’s academic journey is rooted in dedication and continuous learning 📘. He is currently pursuing a Ph.D. in Computer Engineering at the University of Uyo, Akwa Ibom State, Nigeria 🎓. He earned his Master of Engineering (M.Eng.) degree in Computer Engineering with distinction from the same university 🏅. His commitment to academic excellence began with a Higher National Diploma (HND) and National Diploma (ND) in Computer Engineering from Rufus Giwa Polytechnic, Owo, Ondo State 🏫. To further equip himself for teaching and research, he completed a Postgraduate Diploma (PGD) in Computer Engineering from Covenant University and a PGD in Education from the National Open University of Nigeria 📖. His blend of technical and educational qualifications has shaped his dual competence in engineering and pedagogy 📡📚. This strong educational foundation supports his innovative research in computer vision, biometrics, and intelligent systems development 🤖.

👩‍🏫 Experience

Engr. Awodeyi currently serves as Lecturer II in the Department of Computer Engineering at Southern Delta University, Ozoro 🏛️. With several years of teaching experience, he imparts core engineering principles to students and guides their academic growth 🎓. He has been involved in curriculum development, lab coordination, and project supervision 💡. His background includes hands-on projects ranging from intelligent street lighting systems to panic button alarm systems for emergency response 🚨. As a researcher and educator, he emphasizes practical learning by integrating current research trends into classroom instruction 🧑‍🏫. His exposure to multidisciplinary teams and institutional collaborations has enhanced his communication and leadership skills 🤝. Throughout his career, he has prioritized academic excellence and student mentorship 🌟. His role at the university extends beyond teaching; he actively participates in seminars, workshops, and university research clusters focused on technology and innovation 💻📊.

📚 Professional Development

Engr. Awodeyi has actively pursued professional development to stay at the forefront of technological innovation and pedagogy 🚀. He is a Registered Engineer (R.Engr.) with the Council for the Regulation of Engineering in Nigeria (COREN) 🛠️, a prestigious body that ensures high standards in the engineering profession. He is also a Member of the International Association of Engineers (IAENG) 🌍, connecting him with a global community of experts and providing access to cutting-edge resources and conferences 📚. His professional certifications in both engineering and education reflect his commitment to lifelong learning and academic excellence 🔍. Attending various academic conferences, including the World Congress on Engineering and Computer Science (WCECS), has broadened his technical insights and collaborative networks 🧠🔗. Through continual self-improvement, Engr. Awodeyi bridges the gap between academia and industry, equipping his students and colleagues with future-ready knowledge and tools 💼📘.

🛰️ Research Focus

Engr. Afolabi Awodeyi’s research is centered around Computer Vision, Biometrics, and Embedded Hardware Systems 🧠📷. His innovative projects focus on enhancing biometric authentication systems using advanced algorithms like CNN-based face and iris fusion 🔐. His goal is to build more secure, reliable access control systems suited for real-world applications. His recent research delves into preprocessing techniques to improve facial recognition under challenging conditions, such as occlusion and varying lighting 🌫️💡. His other significant work includes the development of self-organizing multipurpose mobile robots and real-time encoder-based facial recognition frameworks 🤖. With a keen interest in integrating AI with security, his research contributes to smart infrastructure, digital identity, and intelligent automation 🌐. He has collaborated with multidisciplinary teams on multiple Scopus-indexed publications, reinforcing the global relevance and rigor of his research work 📄. His dedication to this field continues to yield innovations that bridge academic theory and industrial needs 🧩.

🏆 Awards and Honors

Engr. Awodeyi has been nominated for the Best Researcher Award under the International Invention Awards 2025 🥇. This recognition reflects his outstanding contributions to engineering research, particularly in the domains of computer vision, facial recognition, and biometric security systems 🔍🔒. His work in Scopus-indexed journals showcases his commitment to high-quality, impactful research that addresses real-world technological challenges 🌍. His academic excellence, seen in distinctions earned during his M.Eng. program, further highlights his scholarly merit 🎓. Though still early in his recognition journey, his multiple international conference publications and collaborative book chapter on cyber-physical systems indicate strong peer acknowledgment 📖. His innovative mindset and consistent scholarly output make him a deserving recipient of honors within and beyond the academic community 🌟. As his contributions grow in complexity and relevance, more accolades and institutional recognitions are anticipated in the future 🏅📊.

📚Publication

📖 1. Development of an Electronic Weighing Indicator for Digital Measurement

👨‍🔬 Authors: E. Akindele Ayoola, I. Awodeyi Afolabi, O. Matthews Victor, …
📅 Year: 2018
🔢 Citations: 21

📖 2. Design and Construction of a Panic Button Alarm System for Security Emergencies

👨‍🔬 Authors: A. Afolabi, O. Moses, S. Makinde Opeyemi, A. Ben-Obaje Abraham, …
📅 Year: 2018
🔢 Citations: 19

📖 3. Development of an Intelligent Smart Shopping Cart System

👨‍🔬 Authors: A.E. Ayoola, A.I. Afolabi, V.W. Oguntosin, O.A. Alashiri, V.O. Matthews, …
📅 Year: 2019
🔢 Citations: 4

📖 4. Effective Preprocessing Techniques for Improved Facial Recognition under Variable Conditions

👨‍🔬 Authors: A.I. Awodeyi, O.A. Ibok, I. Omokaro, J.U. Ekwemuka, M.O. Ighofiomoni
📅 Year: 2025
🔢 Citations: 1

📖 5. Cyber-Physical Systems Attacks and Countermeasures

👨‍🔬 Authors: P. Asuquo, M. Usoh, B. Stephen, C. Aneke, A. Awodeyi
📅 Year: 2022
🔢 Citations: 1

📖 6. Comparative Analysis of Preprocessing Techniques for Enhanced Facial Recognition under Challenging Conditions

👨‍🔬 Authors: A. Awodeyi, O. Ibok, O. Idama, J. Ekwemuka, D. Ebem, R. Mamah, O. Ugwu
📅 Year: 2025
🔢 Citations: –

📖 7. Development of a Real-Time Auto Encoder Facial Occlusion Recognition System Framework

👨‍🔬 Authors: A. Awodeyi, P. Asuquo, C. Kalu
📅 Year: 2024
🔢 Citations: –

📖 8. Development of a Self-Organizing Multipurpose Mobile Robot

👨‍🔬 Authors: A. Awodeyi, A.E. Akindele, E.E. Dan, O.A. Ibok
📅 Year: 2024
🔢 Citations: –

📖 9. The Development of a Self-Organizing Multipurpose Mobile Robot

👨‍🔬 Author: A. Awodeyi
📅 Year: 2024
🔢 Citations: –

📖 10. Design and Construction of a Microcontroller-Based Automated Intelligent Street Lighting System

👨‍🔬 Authors: M.V.O. Awodeyi Afolabi, Samuel Isaac Adekunle, Akindele Ayoola
📅 Year: 2018
🔢 Citations: –

🏁conclusion:

🎓 Yes, Engr. Afolabi Awodeyi is a highly deserving candidate for the Best Researcher Award 🏆. His unwavering dedication to innovation 💡, interdisciplinary research 🤝, and academic excellence 📘 highlights his status as a forward-thinking scholar in the field of computer engineering. With impactful contributions to biometrics 🔐, intelligent systems 🤖, and facial recognition 🧠, his research holds both academic and real-world relevance. As a COREN-registered engineer and active member of IAENG 🌍, he bridges theory and practice, shaping the future of smart technologies. While there is room to grow in citations and patents 📈, his evolving research portfolio shows immense promise. Recognizing Engr. Awodeyi at this stage will not only honor his contributions but also inspire further high-impact and industry-oriented advancements 🔬. His profile perfectly aligns with the award’s mission to uplift emerging leaders driving excellence in research and innovation 🚀. Truly, he embodies the spirit of modern engineering research 🌟.

Francisco Javier Lima Florido | Artificial Intelligence | Best Researcher Award

Published on 21/03/2025 by CAD Awards

Mr Francisco Javier Lima Florido | Artificial Intelligence | Best Researcher Award

Researcher in training , University of Malaga , Spain

Francisco Javier Lima Florido is an accomplished researcher whose work in Machine Learning, Deep Learning, and Natural Language Processing has significant practical and academic merit. His focus on multilingual dialogue systems, health applications, and automatic interpretation solutions speaks to his expertise and potential to impact society through technology. As a PhD student, he is still developing his academic career but has already made noteworthy contributions to the field through participation in significant projects.

Publication Profile

scopus

Education :

Francisco Javier Lima Florido holds a Bachelor’s degree in Software Engineering from the University of Málaga (2016). He also earned a Master’s degree in Software Engineering and Artificial Intelligence from the same institution in 2019. Currently, Francisco is pursuing a PhD in the Translation and Interpreting Department at the University of Málaga, where his research is primarily focused on the intersection of technology and language.

Experience:

Francisco has actively participated in various research projects throughout his academic career. Notably, he was involved in the VIP: Integrated Voice-Text System for Interpreters project. This project explored the integration of voice and text systems for interpreters. Presently, he is contributing to cutting-edge projects like the Neural-based multilingual dialogue systems for the development of health apps (focusing on triage in Spanish, English, and Arabic) and the MI4ALL – Automatic Interpretation for All Using a Deep Learning-based API transfer project. These initiatives demonstrate his extensive experience in developing machine learning models for natural language processing (NLP).

Research Focus:

His primary research interests lie in the application of Machine Learning and Deep Learning techniques to Natural Language Processing (NLP). He is particularly focused on the development of multilingual dialogue systems and automatic interpretation technologies. His work aims to enhance the functionality and accessibility of tools for interpreters and healthcare applications, with a special interest in bridging communication gaps in multilingual settings.

Skills:

Francisco is highly skilled in several areas within Software Engineering and Artificial Intelligence, with a strong emphasis on Machine Learning and Deep Learning. His technical expertise spans:

- Natural Language Processing (NLP)
- Multilingual Dialogue Systems
- Deep Learning Algorithms
- Machine Learning Model Development
- Speech-to-Text Technologies
- Python Programming and related frameworks (e.g., TensorFlow, PyTorch)

Publication :

Francisco Javier Lima Florido has contributed to several research projects and publications in the fields of Machine Learning, Deep Learning, and Natural Language Processing. Notably:

“Mapping tillage direction and contour farming by object-based analysis of UAV images” (2021): This study, co-authored by Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, José Dorado, and José M. Peña, was published in Computers and Electronics in Agriculture.
“Using Vegetation Indices and a UAV Imaging Platform to Quantify the Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.) in Southern Spain” (2019): Authored by Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, and Federico B. Galacho-Jiménez, this paper appeared in Remote Sensing.

Additionally, Francisco Javier Lima Florido has been involved in research projects such as “VIP: Integrated Voice-Text System for Interpreters” and is currently participating in “Neural-based multilingual dialogue systems for the development of health apps: triage (Spanish – English/Arabic)” and the transfer project “MI4ALL – Automatic Interpretation For All Using a Deep Learning-based API”.

conclusion:

Francisco is highly deserving of consideration for the “Best Researcher Award.” His expertise in cutting-edge AI technologies, especially in the context of language translation and interpretation, holds immense potential for positive social impact. While there are areas for improvement, such as enhancing his publication record and broadening his collaborative network, his current research trajectory shows great promise. His ongoing contributions to AI research and application indicate that he is on a path to becoming a leading figure in the field.

Saba Inam | machine learning | Women Researcher Award

Published on 06/02/202506/02/2025 by CAD Awards

Dr.Saba Inam |machine learning| Women Researcher Award

Dr Saba InamFatima Jinnah women university, The Mall, Rawalpindi, Pakistan.

Dr. Saba Inam is a lecturer in the Department of Mathematical Sciences at Fatima Jinnah Women University in Rawalpindi, Pakistan. She earned her PhD in Algebraic Cryptography from the Capital University of Science and Technology, completing her studies between February 2014 and January 2019. Her research interests include Algebraic Number Theory, Algebraic Cryptography, Applied Cryptography, image encryption, Cloud Computing, Machine Learning, and Deep Learning. Dr. Inam has contributed to over 20 publications, accumulating 247 citations, and her work has garnered more than 3,367 reads. Notably, she co-authored the article “An efficient image encryption algorithm using 3D-cyclic Chebyshev map and elliptic curve,” published in November 2024.

Publication Profile

Google Scholar

Orcid

Education :

Dr. Saba Inam holds a PhD in Mathematics from Capital University of Science and Technology (CUST), Islamabad (2019). She completed her MS in Mathematics from COMSATS Institute of Information Technology, Islamabad, in 2007 with a CGPA of 3.6/4, achieving 1st Division. She earned her M.Sc. in Mathematics from Quaid-i-Azam University, Islamabad (2005), and her B.Sc. in Mathematics (Maths A, Maths B, Stats) from the University of the Punjab (2003), both with 1st Division.

Experience :

Dr. Inam has extensive academic and research experience. Since September 2007, she has been serving as a Lecturer in Mathematics at Fatima Jinnah Women University, Rawalpindi. She also held the position of Incharge, Department of Mathematical Sciences from August 2016 to January 2018. Before that, she worked as a Research Associate at COMSATS Institute of Information Technology, Islamabad, from March to August 2007.

Research Focus :

Dr. Inam’s research interests span across multiple domains, including:

Cryptography & Security: Algebraic Cryptography, Cryptology, CryptanalysisAI & Data Security: Image Encryption, Blockchain, IoT, Deep Learning, Machine LearningMathematical Sciences: Fluid Mechanics, Geometric Function Theory.

Awards:

Dr. Inam’s academic excellence has been recognized through various awards and honors:

Scholarship – Capital University of Science and Technology (CUST), Islamabad (2013-2018)Dean’s Roll of Honor – Received twice during PhD courseworkDiploma in Academic Excellence in Discrete Mathematics – Abdul Salam School of Mathematical Sciences, GC University, Lahore (2012)Scholarship – COMSATS Institute of Information Technology, Islamabad (2005-2007)

Skills:

Dr. Inam possesses expertise in:Programming & Computational Tools: Matlab, Python, Mathematica, APCoCoA, Scientific Workplace, LaTeXOffice & Documentation: Proficient in Microsoft Office Suite,Dr. Saba Inam continues to contribute significantly to the fields of cryptography, image encryption, and mathematical security frameworks, with a strong focus on deep learning and blockchain applications.

Publication :

Three dimensional boundary layer flow of a viscoelastic nanofluid with Soret and Dufour effects

Numerical simulation of Darcy–Forchheimer 3D unsteady nanofluid flow comprising carbon nanotubes with Cattaneo–Christov heat flux and velocity and thermal slip conditions

An effective color image encryption based on Henon map, tent chaotic map, and orthogonal matrices

A new ElGamal-like cryptosystem based on matrices over groupring

Analytic study of a novel color image encryption method based on the chaos system and color codes

Blockchain based medical image encryption using Arnold’s cat map in a cloud environment

A numerical study of rotating Bödewadt flow of micropolar fluid over porous disk

A Novel Public Key Cryptosystem and Digital Signatures

A new method of image encryption using advanced encryption Standard (AES) for network security

Research on color image encryption approach based on chaotic Duffing map

Conclusion

Dr. Inam’s strengths, including her academic excellence, research impact, and leadership in academia, position her as a strong candidate for the “Research for Women Researcher Award.” While there are areas to enhance collaboration and public outreach, her work is already shaping critical developments in data security and encryption. Recognizing her would not only celebrate her achievements but also inspire more women to pursue careers in research and technology, contributing significantly to both academic and societal progress.

Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Published on 13/11/202413/11/2024 by CAD Awards

Mr. Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Mr. Zubair Akhtar Mohd, Technische Hochschule Ingolstadt, Germany

Mr. Zubair Akhtar Mohd is a Research Associate at Technische Hochschule Ingolstadt, Germany, specializing in automotive engineering and artificial intelligence applications in predictive modeling and manufacturing optimization. He holds a Master’s degree in Automotive Engineering from THI and a Bachelor’s in Mechanical Engineering from Aligarh Muslim University, India. His research focuses on integrating Finite Element Analysis (FEA) with AI, using advanced machine learning algorithms like CNNs and RNNs to forecast the lifespan of electronic components. Mr. Mohd is also involved in scientific projects, data generation for materials testing, and academic teaching in CAD and simulation.

Professional Profiles:

🎓 Education :

Holds a Master’s degree in Automotive Engineering from Technische Hochschule Ingolstadt, Germany, with a GPA of 1.9, focusing on production optimization and AI in automotive systems. Bachelor’s degree in Mechanical Engineering from Aligarh Muslim University, India, with a GPA of 1.6, specializing in vehicle technology and CAD/CAE programming.

🏢 Experience:

Currently working as a Research Associate at the Institute of Innovative Mobility, Technische Hochschule Ingolstadt, focusing on method development for predicting electronics component lifespan using deep learning. Previously employed as a working student at CADS Engineering GmbH, contributing to vehicle design and occupant protection research, and as an Industrial Engineer in India, implementing safety and efficiency improvements in manufacturing processes.

🛠️Skills:

Proficient in Python, TensorFlow, PyTorch, and Linux, with additional expertise in tools such as Git, JavaScript, and MS Office applications. Experience with HTML, CSS, and Carla, and extensive knowledge in engineering software like NX CAD, Ansys, and Tableau. Fluent in English and German at B2 level, alongside native proficiency in Hindi.

Research Focus :

Specialized in the integration of Finite Element Analysis (FEA) simulation data with deep learning for predictive modeling. Research includes advanced deep learning models, such as CNNs and RNNs, and generative forecasting with VQ-VAE. Emphasis on machine learning algorithms for materials inspection and automated data collection.

🔬Awards:

Awarded various certifications, including specialization in self-driving car technologies from the University of Toronto and advanced machine learning courses from DeepLearning.AI. Actively involved in technical leadership roles, such as Technical Coordinator for AMU’s national college fest and team leader for the American Society of Mechanical Engineers (ASME). Published work in Springer Publications on ergonomics for productivity improvement.

Conclusion:

Mr. Zubair Akhtar Mohd’s interdisciplinary skills, innovative research focus, and dedication to academia make him a deserving candidate for the Best Researcher Award. With potential to expand his publication record and increase his collaborative efforts, Mr. Mohd’s career trajectory reflects both current excellence and promise for further significant contributions to engineering and AI research.

Publications: