Gumer Pérez | Genetics and Molecular Biology | Outstanding Contribution Award

Mrs. Gumer Pérez | Genetics and Molecular Biology | Outstanding Contribution Award

Professor | Public University of Navarre | Spain

Gúmer Pérez is a researcher at Universidad Pública de Navarra (Spain) with recognized expertise in fungal genomics, transcriptomics, and biotechnology, particularly in Pleurotus ostreatus and lignocellulose degradation. He has authored 20+ peer-reviewed publications in leading journals such as PNAS, PLOS Genetics, BMC Genomics, Journal of Fungi, and New Biotechnology, accumulating ~958citations with an h-index of 14. His work integrates comparative genomics, mitochondrial biology, and enzyme regulation, advancing knowledge relevant to sustainable bioprocessing, fungal breeding, and bioeconomy applications. He actively collaborates with international research teams, contributing to both fundamental science and applied biotechnological innovation.

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Featured Publications

Jobish Vallikavungal Devassia | Computer Science | Best Researcher Award

Prof. Dr. Jobish Vallikavungal Devassia | Computer Science | Best Researcher Award

Professor | Tecnológico De Monterrey | Mexico

Prof. Dr. Jobish Vallikavungal Devassia is a distinguished researcher in Computer Science, specializing in scheduling algorithms, operations research, and optimization for flexible job-shop and parallel machine systems. He has authored over 10 high-impact publications in top-tier journals, including Computers & Industrial Engineering, International Journal of Production Research, and IEEE Access, accumulating more than 112 citations. His work integrates advanced techniques such as rough sets, multidimensional fuzzy logic, and dynamic scheduling methods, often in collaboration with international scholars from Mexico, Spain, and France. His research advances efficient industrial operations, resource optimization, and practical applications in manufacturing and logistics, impacting both academia and industry globally.

 

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Featured Publications

The generalized flexible job shop scheduling problem.

– Computers & Industrial Engineering. (2021). Cited By: 50

Flexible job-shop scheduling problem with resource recovery constraints.

– International Journal of Production Research. (2018). Cited By: 41

A parallel machine batch scheduling problem in a brewing company.

– The International Journal of Advanced Manufacturing Technology. (2016). Cited By: 32

Saeed Banaeian Far | Computer Science | Best Researcher Award

Assist. Prof. Dr. Saeed Banaeian Far | Computer Science | Best Researcher Award

Assist. Prof. | Blockchain and Metaverse research lab | Iran

Assist. Prof. Dr. Saeed Banaeian Far is a leading researcher in applied cryptography, blockchain systems, security protocols, and emerging Metaverse technologies. He is affiliated with the Blockchain and Metaverse Research Lab (BMRL) and has made influential contributions to decentralized finance, digital twins, NFTs, Web3, privacy-preserving protocols, and quantum-secure blockchain architectures. With over 44 peer-reviewed publications in high-impact journals and conferences, his work has received 1,045 citations, reflecting strong global academic influence. He actively collaborates with international scholars and interdisciplinary teams, advancing secure digital infrastructures with significant societal impact in finance, governance, healthcare, and next-generation virtual ecosystems.

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Featured Publications

 

Ei Mehdi Chakour | Computer Science | Research Excellence Award

Dr. Ei Mehdi Chakour | Computer Science | Research Excellence Award

Research Postdoc | Université Sidi Mohamed Ben Abdellah | Morocco

Dr. Ei Mehdi Chakour is a researcher at Université Sidi Mohamed Ben Abdellah, Fez, Morocco, specializing in medical image analysis and deep learning applications for ophthalmology, particularly diabetic retinopathy detection. With four peer-reviewed publications and 16 citations, Dr. Chakour has contributed to advancements in retinal image segmentation, enhancement, and severity classification using dynamic preprocessing, mathematical morphology, and transfer learning techniques. His collaborative work involves 11 co-authors across international conferences and journals, reflecting a strong commitment to interdisciplinary research. Through the development of mobile-based deep learning systems, his work demonstrates significant societal impact by enabling earlier, accessible, and accurate diabetic retinopathy screening.

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Featured Publications


Mobile‑based deep learning system for early detection of diabetic retinopathy.

– Intelligence‑Based Medicine. Advance online publication. (2025). 

Transfer learning for severity and stages detection of diabetic retinopathy.

-Embedded Systems and Artificial Intelligence (ESAI) . (2024).

Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology.

– International Conference on Control, Decision and Information Technologies (CoDIT). (2022). 

Bijal Bahuleyan | Polymer Nanocomposites | Best Researcher Award

Assoc. Prof. Dr. Bijal Bahuleyan | Polymer Nanocomposites | Best Researcher Award

Associate Professor | Royal Commission for Jubail and Yanbu | Saudi Arabia

Dr. Bahuleyan demonstrates strong research excellence in polymer nanocomposites and organometallic polymerization, supported by a solid publication record (55 documents), high scholarly impact (1,235 citations), and a robust h-index of 19. His work spans high-quality Q1–Q2 journals and bridges fundamental materials chemistry with applied nanotechnology, highlighting consistent productivity and international collaboration. An area for improvement lies in expanding interdisciplinary integration with data-driven materials design and increasing leadership in large, multi-institutional grants. Looking ahead, his future potential is significant, particularly in sustainable polymer systems, advanced functional nanocomposites, and industry-oriented innovation, positioning him well to deliver high-impact research, mentorship, and translational outcomes aligned with global scientific and societal priorities.

Bahuleyan, Bijal Kottukkal
Yanbu Industrial College, Yanbu, Saudi Arabia

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Jingsheng Feng | Decision Sciences | Best Paper Award

Mr. Jingsheng Feng | Decision Sciences | Best Paper Award

Research Assistant | Hefei University of Technology | China

Dr. Jingsheng Feng, a distinguished researcher at Hefei University of Technology, China, focuses on advanced logistics network optimization, supply chain resilience, and intelligent decision-making systems. His research integrates mathematical modeling, fuzzy logic, and multi-objective optimization to tackle complex challenges in customized logistics and industrial engineering. Notably, his work published in Computers & Industrial Engineering presents a reliable logistics network design model incorporating demand sensitivity to correlated disruptions, enhancing system robustness under uncertainty. In the International Journal of Systems Science: Operations & Logistics (, he co-developed disruption response strategy models for supplier selection and order allocation to support firms in maintaining operational stability during disruptions. His study in Expert Systems with Applications proposed fuzzy multi-objective team decision models for customer order decoupling point (CODP) and supplier selection, facilitating collaborative and data-driven decision-making in customized logistics supply chains. Additionally, his  work in Computers & Industrial Engineering explored battery swapping service network deployment, addressing behavioral factors such as driver range anxiety and impatience. Through his interdisciplinary contributions, Dr. Feng bridges theory and practice in logistics and supply chain engineering, promoting demand responsiveness, risk mitigation, and intelligent system design to advance sustainable, adaptive, and human-centered logistics strategies for modern industrial ecosystems. Her research impact is evident from 15 citations across 4 documents with an h-index of 2.

Profiles : ORCID | Scopus 

 

Featured Publications


1 .Feng, J., Hu, X., Xu, L., Luo, S., & Chen, J. (2025). Reliable logistics network design joint optimization problem applying demand sensitivity to correlated disruptions. Computers & Industrial Engineering.

2. Xu, L., Hu, X., Wu, Z., Luo, S., Feng, J., & Zhang, X. (2025). Disruption response strategy models for supplier selection and order allocation in customised logistics service supply chain. International Journal of Systems Science: Operations & Logistics.

3. Xu, L., Hu, X., Zhang, Y., Feng, J., & Luo, S. (2024). A fuzzy multiobjective team decision model for CODP and supplier selection in customized logistics service supply chain. Expert Systems with Applications, 213, 121387.

4. Hu, X., Zhang, X., Xu, L., Feng, J., & Luo, S. (2024). The battery swapping service network deployment problem: Impact of driver range anxiety and impatience. Computers & Industrial Engineering, 172, 110189.

Ruzayn Quaddoura | Computer Science | Best Researcher Award

Assoc. Prof.Dr.Ruzayn Quaddoura | Computer Science | Best Researcher Award

Zarqa University, Jordanian

Dr. Ruzayn Quaddoura 🇯🇴 is a renowned academic and researcher in the field of computer science, specializing in combinatorial optimization and algorithmic graph theory. he has over two decades of teaching and research experience . Currently serving as Assistant Professor at Zarqa University in Jordan , he has also held teaching positions in Saudi Arabia 🇸🇦, France 🇫🇷, and Syria 🇸🇾. Dr. Quaddoura has made significant contributions to the study of NP-hard problems, scheduling algorithms, and digraph structures . He has authored numerous peer-reviewed publications in prestigious journals and conferences worldwide . Multilingual in Arabic, English, and French , he actively engages in academic committees, technical boards, and student mentorship. His dedication to quality education and advanced algorithm research positions him as a leading voice in theoretical computer science .

🔹Professional Profile

ORCID

🔹 Education & Experience

Dr. Quaddoura’s academic foundation was laid at Damascus University 🇸🇾, where he earned his Bachelor’s and Postgraduate Diploma in Mathematics . He then pursued a Diploma in French Language 🇫🇷 and later completed an MSc (DEA) in Operations Research – Combinatorial Optimization at INPG, Grenoble . He culminated his academic training with a PhD in Algorithmic Graph Theory from the University of Picardie Jules Verne, France .His professional journey began as a lecturer in Syria and France, before moving into Assistant Professor roles at Princess Sumaya University, Zarqa University, and King Abdulaziz University . Since 2011, he has been a key faculty member at Zarqa University’s Faculty of Information Technology. His teaching areas include algorithms, data structures, discrete mathematics, and compilers . His global academic experience and strong theoretical background reflect a career devoted to advancing computer science education and research .

🔹 Professional Development 

Throughout his career, Dr. Quaddoura has actively contributed to academic growth, institutional leadership, and scholarly collaboration . He has served on various academic committees at Zarqa University, including the Scientific Committee, Study Plan Committee, and Course Equivalence Committee. As Chairman of Exams and Committee Leader, he has shaped curriculum and assessment strategies with excellence.He played similar roles at King Abdulaziz University, contributing to master’s program oversight and curriculum development in computing and information technology . His refereeing activities include serving on the technical committees of prominent journals and conferences like IAJIT and ACIT . Additionally, he managed the Colleges of Computing and Information Society office in 2015, demonstrating organizational and strategic leadership.His professional footprint showcases not only academic rigor but also collaborative leadership, quality assurance, and international engagement in the computing education community .

🔹 Research Focus Category 

Dr. Ruzayn Quaddoura’s primary research lies in Theoretical Computer Science, focusing on Combinatorial Optimization, Algorithmic Graph Theory, and Complexity Theory . His work explores the deep structure of graphs, creating efficient solutions to NP-hard problems using novel algorithmic techniques . From linear-time scheduling algorithms for specific graph families to optimization in series-parallel digraphs and bipartite graphs, his research bridges abstract theory and real-world computational problems .He has also extended his expertise to applied fields such as the Internet of Things (IoT), encryption, and machine learning in wildfire detection . His publications in top-tier journals like IAJIT, Algorithms, and Symmetry highlight his contributions to both pure and applied research .Dr. Quaddoura’s innovative approaches to graph decomposition, structural analysis, and algorithmic efficiency contribute significantly to solving modern computing challenges through mathematical elegance and logical precision .

🔹 Awards and Honors 

 Dr. Quaddoura’s academic excellence has been recognized through several prestigious awards and honors. He earned a First Rank Honor Certificate from Damascus University in 1992 for academic distinction in Mathematics . He received a scholarship from INPG (France) for his MSc in Combinatorial Optimization and another scholarship from Picardie Jules Verne University to pursue his PhD in Theoretical Computer Science , In 2014, he was honored with a Recognition Paper Award from the World of Computer Science and Information Technology Journal for his innovative algorithm on induced matchings in bipartite graphs .These accolades reflect his commitment to research excellence, international academic collaboration, and impactful contributions to the field of computer science 🌍🔬.His scholarly achievements not only affirm his status as a leading researcher but also inspire a generation of students and scientists dedicated to algorithmic innovation and problem-solving .

🔹Publication of Top Notes

1. The Clique-Width of Minimal Series-Parallel Digraphs

Authors: Frank Gurski, Ruzayn Quaddoura
Year: 2025
Citation: Algorithms, 2025-05-28. DOI: 10.3390/a18060323

2.Early Wildfire Smoke Detection Using Different YOLO Models

Authors: Yazan Al-Smadi, Mohammad Alauthman, Ahmad Al-Qerem, Amjad Aldweesh, Ruzayn Quaddoura, Faisal Aburub, Khalid Mansour, Tareq Alhmiedat
Year: 2023
Citation: Machines, 2023. DOI: 10.3390/machines11020246

3. Internet of Things Protection and Encryption: A Survey

Authors: Ghassan Samara, Ruzayn Quaddoura, M. I. Al-Shalout, K. AL-Qawasmi, G. A. Besani
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2204.04189

4.Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2203.15726

5. Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2021
Citation: 22nd International Arab Conference on Information Technology (ACIT), 2021. DOI: 10.1109/ACIT53391.2021.9677100

6.On 2-Colorability Problem for Hypergraphs with P₈-Free Incidence Graphs

Authors: Ruzayn Quaddoura
Year: 2020
Citation: International Arab Journal of Information Technology, 2020. DOI: 10.34028/iajit/17/2/14

🧾 Conclusion

Dr. Ruzayn Quaddoura is highly suitable for the Best Researcher Award. His research exhibits a rare balance of theoretical depth and practical relevance, particularly in the areas of graph theory, AI for environmental monitoring, and cybersecurity. His ongoing contributions to both academia and applied science solidify his standing as a leading and impactful researcher deserving of recognition.

Prof Franklyn Lisk | Development Economics | Excellence in Research

Prof Franklyn Lisk | Development Economics | Excellence in Research

Deputy Pro-Vice-Chancellor (Africa) at University of Warwick, UK , United Kingdom

Professor Franklyn Lisk is a distinguished development economist and policy adviser with over 50 years of professional experience. His technical skills include expertise in international political economy and development policy. He has significant teaching experience across various universities globally, emphasizing professional development through partnerships with African institutions. Notably, his top publications include key works in leading academic journals.

Profile

ORCID

Education 🎓

Professor Lisk earned his PhD in Economics from the University of Birmingham, UK, where he began his academic career as a lecturer in development economics in 1973.

Professional Experience 🏢

Currently, he is the Academic Director for Africa at the University of Warwick, UK, and a Professor of International Political Economy of African Development and Global Health Governance. Previously, he held various significant roles at the International Labour Organisation (ILO), including Senior Economist and Director. He is also a co-founder of the Center for Research on Political Economy (CREPOL) in Dakar and a visiting professor at the University of KwaZulu-Natal.

Research Interests 🔍

Professor Lisk’s research focuses on international political economy, development economics, and global health governance, with a specific emphasis on African development policies and practices.

Awards 🏆

Throughout his career, Professor Lisk has been recognized for his contributions to development economics and policy advisory, although specific awards are not detailed in the biodata.

Top Noted Publications📖

  • The Political Economy of HIV/AIDS in Africa. Global Health Action.(2013)
  • Employment and Labour Market Policies in Africa. African Journal of Economic Policy.(2009)
  • Globalization and Development in Africa: An Overview. Journal of African Economies.(2007)
  • The Role of International Organizations in African Development. Development Policy Review.(2005)
  •  HIV/AIDS and the World of Work: The ILO’s Global Programme. International Labour Review.(2004)