Mohamed Ali Hajjaji | Applications of Computer Vision | Top Researcher Award

Prof. Mohamed Ali Hajjaji | Applications of Computer Vision | Top Researcher Award

ISSAT De Sousse | University of Sousse | Tunisia

Prof. Mohamed Ali Hajjaji is a distinguished researcher at the Institut Supérieur des Sciences Appliquées et de Technologie de Sousse, Tunisia, specializing in FPGA-based systems, artificial intelligence, cryptography, and intelligent infrastructure monitoring. He is a key member of the PEJC 2025 project “Intelligent RoadGuard”, funded by the Tunisian Ministry of Higher Education and Scientific Research. With 71 publications cited over 608 times and an h-index of 16, his work spans hardware acceleration of neural networks, chaos-based cryptosystems, and real-time image processing. Collaborating with over 49 co-authors internationally, his research delivers practical solutions for autonomous systems, secure communications, and smart transportation, impacting both technology and societal safety.

 

Citation Metrics (Scopus)

1200

800

400

0

Citations
842

Documents
71

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Nisharg Nargund | Document Image Analysis | Young Researcher Award

Mr. Nisharg Nargund | Document Image Analysis | Young Researcher Award

Undergrad Researcher | Kalinga Institute of Industrial Technology | India

Mr. Nisharg Nargund is an emerging researcher in artificial intelligence and machine learning at the Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. His research focuses on large language models, retrieval-augmented generation, transformer architectures, and multi-agent AI systems. He has authored Ten scholarly and professional publications, with 2 Scopus-indexed documents receiving 19 citations and an h-index of 1. His work has been presented at leading international conferences, earning Best Paper and Best Poster awards. Through academic collaborations, industry internships, and open-source projects, his research contributes to scalable, ethical, and societally impactful AI solutions in education, language technology, and industry.

 

Citation Metrics (Scopus)

30

20

10

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Citations
19

Documents
2

h-index
1

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Featured Publications


Deep learning in Industry 4.0: Transforming manufacturing through data-driven innovation.

– In Distributed Computing and Intelligent Technology: 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17–20, 2024, Proceedings. (2024). Cited By : 31

Conversational text extraction with large language models using retrieval-augmented systems.

– In Proceedings of the 6th International Conference on Computational Intelligence and Networks . (2025). Cited By : 5

Innovative fusion of LSTM and Bi-GRU networks for enhanced hate speech detection in social media.

– International Research Journal of Modernization in Engineering Technology and Science (IRJMETS). (2024). 

Tayya Raga Sudha | Microbiology | Best Faculty Award

Assoc. Prof. Dr. Tayya Raga Sudha | Microbiology | Best Faculty Award

Head and Associate Professor | Department of Microbiology, Government City College (A), Hyderabad | India

Assoc. Prof. Dr. Tayya Raga Sudha is a microbiology researcher affiliated with Government City College (Autonomous) and Indira Priyadarshini Government Degree College for Women, Hyderabad, India. Her research expertise lies in phytochemistry, antimicrobial pharmacology, and anti-inflammatory studies of medicinal plants. She has authored over 3 peer-reviewed research publications in reputed national and international journals, with documented citations and an h-index of 1. Her work focuses on discovering bioactive plant compounds effective against multidrug-resistant microorganisms and inflammatory disorders. Through interdisciplinary collaborations and applied biomedical research, her contributions support the development of natural therapeutics and promote public health and pharmaceutical innovation.

 

Citation Metrics (Scopus)

4

3

2

1

0

Citations
1

Documents
3

h-index
1

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Featured Publications


Investigation of the antimicrobial activity of the stem and root extracts of Alangium salviifolium decapetalum.

– International journal of engineering technology science and research. (2008). Cited By : 2

Anti-inflammatory activity of aerial parts and root extracts of Croton bonplandianum Baill.

– International Journal of Scientific Development and Research . (2021).

Management and disposal of microbiological and carcinogenic agents in laboratory: A review.

-International Journal of Pharmacy and Biological Sciences. (2020).

Anti-inflammatory activity of the stem and root extracts of Alangium salviifolium decapetalum.

– International Journal of Engineering Technology Science and Research. (2016). 

Md Ikram Ul Hoque | Nanotechnology and Chemistry | Research Excellence Award

Dr. Md Ikram Ul Hoque | Nanotechnology and Chemistry | Research Excellence Award

Researcher and Academic | The University of Newcastle | Australia

Md. Ikram Ul Hoque is a chemist specializing in nanotechnology, graphene-based materials, physical chemistry, and electrochemical energy storage and conversion. He earned his PhD in Chemistry from the University of Newcastle, Australia. His research integrates smart nanomaterials, conductive polymers, and sustainable adsorption technologies for environmental remediation and energy applications. He has authored 12 peer-reviewed publications with 406 citations, including highly cited works in Chemical Engineering Journal, Journal of Hazardous Materials, and Polymers. His international collaborations span Australia, Asia, and Europe, contributing to green technologies with measurable environmental and societal impact.