Maria Adam | Spectrum localization | Research Excellence Award

Dr. Maria Adam | Spectrum localization | Research Excellence Award

 University of Thessaly | Greece

Dr. Maria Adam is a Professor in the Department of Computer Science and Biomedical Informatics at the University of Thessaly, Greece, with extensive expertise in spectral analysis, numerical ranges, numerical linear algebra, and matrix theory with applications to systems theory, algorithms, graphs, statistics, and biostatistics. She earned her PhD in Mathematics from the National Technical University of Athens, following a BSc in Mathematics from the University of Athens. Dr. Maria Adam has a distinguished academic career spanning professorial roles, international teaching appointments, and participation in major national and industrial research projects. She is an active journal reviewer, editorial board member, and conference organizer, contributing significantly to mathematical sciences research and education.

Citation Metrics (Scopus)

400
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Citations
171

Documents
48

h-index
7

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Featured Publications


Curves and Spectrum Localization of Real Matrices

– Linear Algebra and Its Applications, Vol. 733, 2026

Selection of the Fastest Solution of the Complex Riccati Equation

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

I/O SNR and Noise Covariances Norm Ratio Relation in Kalman Filter

– WSEAS Transactions on Systems and Control, Vol. 19, 2024

Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

Citation Metrics (Scopus)

800
600
400
200
0

Citations
613

Documents
72

h-index
14

Citations

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Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Mierlita Daniel | Agricultural Data Analysis | Excellence in Research

Prof. Mierlita Daniel | Agricultural Data Analysis | Excellence in Research

University of Oradea | Romania

Prof. Mierlita Daniel is a distinguished Professor of Animal Nutrition at the University of Oradea, with extensive expertise in nutrition and feeding of ruminants and poultry. He began his academic career as an Assistant and Lecturer at USAMV Cluj-Napoca from 1993 to 2003, delivering practical courses in animal nutrition. Since 2009, he has served as Professor and Assistant Professor at the University of Oradea, focusing on applied nutrition for economically important livestock species. He earned his PhD in Animal Nutrition/Animal Science Engineering in 1999 from USAMV Cluj-Napoca and has completed specialized international training in sheep and goat production, agricultural consulting, and rural sciences at institutions including Aberystwyth University, Debrecen Agricultural University, and Swiss REBIAT. Prof. Mierlita has directed eight research grants and participated in over 11 projects on optimizing nutrition and productivity of sheep, poultry, and dairy cows, with a particular focus on functional foods. He has published 231 scientific articles, including 112 as single or first author (93 indexed internationally), 41 ISI papers (21 with impact factor), and 17 books or chapters. His work has received 541 citations from 421 documents, with an h-index of 14. He serves as a reviewer and guest editor for several indexed journals. His research advances animal nutrition, fatty acid profiles in animal products, and sustainable livestock production.

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Featured Publications

Razi Al-Azawi | Image Processing | Research Excellence Award

Prof. Dr. Razi Al-Azawi | Image Processing | Research Excellence Award

University of Technology | Iraq

Prof. Dr. Razi Al-Azawi is a distinguished academic and researcher specializing in informatics, artificial intelligence, and advanced computational systems. He holds dual B.Sc. degrees in Laser and Optoelectronics Engineering from the University of Technology and Mathematical Sciences from Mustansiriah University, an M.Sc. in Modeling and Simulation from the University of Technology, and a PhD in Informatics from Kharkov National University of Radio Electronics. Over a career spanning more than two decades, he has taught a wide range of postgraduate and undergraduate courses, including image processing, deep learning, AI, modeling and simulation, information theory, optimization, probability, web design, and advanced programming. His research interests encompass machine learning, data mining, medical image analysis, laser engineering, cybersecurity, and advanced computational modeling. He has supervised over 50 undergraduate theses and numerous postgraduate dissertations at the Higher Diploma, M.Sc., and PhD levels. His scholarly output includes 16 documents, 264 citations by 257 documents, and an h-index of 6. He has served as a reviewer for several international journals and conferences and holds multiple patents under processing. Through his academic leadership and scientific contributions, he continues to advance innovation in computer science, AI, and engineering domains.

Profiles : Scopus |

Featured Publications

Wei Dai | Quantitative Research | Research Excellence Award

Dr. Wei Dai | Quantitative Research | Research Excellence Award

Sichuan Cancer Hospital | China

Dr. Wei Dai is an accomplished thoracic surgeon and researcher specializing in minimally invasive surgery for lung cancer and the integration of patient-reported outcomes (PROs) into perioperative care. He earned his MD in Clinical Medicine from Southern Medical University, an MSc in Thoracic Surgery from Peking Union Medical College, a PhD in Thoracic Surgery from Sichuan University, and completed a fellowship in Thoracic Surgery at the University Hospital of Copenhagen, Rigshospitalet. Dr. Dai has progressed through roles from thoracic surgery trainee and resident to attending surgeon, and currently serves as an associate consultant at Sichuan Cancer Hospital. His research focuses on the development and implementation of PRO-based databases, optimization of postoperative symptom management, and enhancement of patient rehabilitation and recovery pathways. Dr. Dai has led multiple national and provincial research grants, including multicenter randomized controlled trials, and has been instrumental in establishing REDCap-based medical research platforms. He has authored over 60 peer-reviewed publications in high-impact journals and serves as a reviewer for several international journals. An active member of leading professional societies, including ESTS, IASLC, and ISOQOL, Dr. Dai is dedicated to advancing precision perioperative care and improving the quality of life for lung cancer patients. His work bridges clinical innovation, research excellence, and patient-centered care.

Profile : Orcid

Featured Publications

Liu, J., Ma, H., Li, D., Li, Y., Qing, H., Wei, X., Shi, Q., Li, Q., Dai, W., & Zhou, P. (2025). “ASO visual abstract: Early post-discharge pain trajectories after thoracoscopic sublobar resection for Stage IA non-small cell lung cancer.” Annals of Surgical Oncology.

Liu, J., Ma, H., Li, D., Li, Y., Qing, H., Wei, X., Shi, Q., Li, Q., Dai, W., & Zhou, P. (2025). “Early post-discharge pain trajectories after thoracoscopic sublobar resection for Stage IA non-small cell lung cancer.” Annals of Surgical Oncology.

Tian, X., Mao, P., Lei, C., Yu, H., Dai, W., Wei, X., Zhang, J., Xu, W., & Shi, Q. (2025). “Patient-reported walking difficulty predicting the post-discharge overall function in patients with lung cancer undergoing minimally invasive surgery.” Journal of Cancer Survivorship.

Liao, J., Hu, X., Wei, X., Dai, W., Yu, H., Tian, X., Wang, Y., Qin, Q., Xu, N., Li, Y., et al. (2025). “Sex-related differences in postoperative patient-reported outcomes among lung cancer patients: A multicenter cohort study.” BMC Cancer.

Zheng, H., Guo, C., Zhang, Y., Gu, H., Zhao, Y., Xiang, R., Dai, W., Wei, X., Xie, T., Li, Q., et al. (2025). “Single staged repair of an anastomotic tracheal fistula following Mckeown esophagectomy via cervical incision: A case report.” Journal of Cardiothoracic Surgery.

Wissem Ajili Ben Youssef | Blockchain | Best Researcher Award

Assoc Prof Dr. Wissem Ajili Ben Youssef | Blockchain | Best Researcher Award

Em normandie campus Paris | France

Author Profile

Scopus

Early Academic Pursuits

Dr. Wissem Ajili Ben Youssef began her academic journey at Université Paris Dauphine – PSL, where she completed her Master’s degree in Economics and International Finance in 2003. She went on to earn a PhD in Economics in 2007, focusing her doctoral research on the dynamics of public debt in developing countries, integrating institutional, economic, and financial perspectives—an area that would later define her academic career.

Professional Endeavors

Her professional experience spans both academia and government service. She worked as a Public Services Advisor at the Ministry of Finance in Tunisia, before transitioning to academia, holding positions such as Lecturer, Assistant Professor, and Associate Professor at institutions like Université de Carthage, ESLSCA Paris Business School, and EM Normandie. At ESLSCA, she served as Director of the Finance Department and Program Director for the Finance & Data Performance MBA. In 2023, she joined EM Normandie as an Associate Professor of Finance.

Contributions and Research Focus

Dr. Ajili Ben Youssef’s research focuses on Finance Digitization, Sustainable Finance, and Public Debt. Her work includes studies on blockchain, big data, cyber risk, and resilience in financial systems. She has published in both national and international peer-reviewed journals and contributed to books on financial innovation, economic governance, and sustainability. Her interdisciplinary approach allows her to explore how technological transformation affects finance.

Impact and Influence

Through her contributions, she has influenced discourse on sovereign debt sustainability, digital financial ecosystems, and ESG finance. Her research has guided frameworks in MENA countries, and she has delivered talks at major international events. She serves as a reviewer for prominent journals and is regularly invited to academic, policy, and industry forums as a keynote speaker and panelist.

Academic Citations

Her scholarly work includes over 20 peer-reviewed publications in journals like Financial Innovation, British Accounting Review, Journal of Sustainable Development, and Journal of Post Keynesian Economics. Her work is widely cited in discussions on financial regulation, emerging markets, capital controls, and digital transformation in accounting and finance.

Technical and Research Skills

Dr. Ajili Ben Youssef is proficient in empirical research, economic modeling, and data analysis. Her technical strengths include applying advanced tools for assessing systemic risk, sovereign debt impact, and technology adoption in financial systems. She also integrates qualitative and quantitative methods to analyze institutional behavior and policy effects.

Teaching Experience

With over a decade of experience, she has taught courses including Treasury Management, Financial Markets, International Finance, Macroeconomics, and Accounting at both graduate and undergraduate levels. She has taught at EM Normandie, ESLSCA Business School, and Université de Carthage, and has supervised more than 100 Master’s and DBA theses in the past five years.

Leadership and Editorial Roles

She has held multiple academic leadership roles including Head of Finance Department, MBA Program Director, and Course Leader. She serves on the Editorial Board of the International Journal of Accounting, Finance and Risk Management and has been a reviewer for journals like Journal of Cleaner Production and Journal of Sustainable Finance & Investment. She actively contributes to scientific committees, workshops, and colloquia.

Professional Recognition and Awards

Her excellence in teaching and curriculum innovation has earned her several awards, including the Reconnect Tunisian Finance Women Award (2023) and three Eduniversal MBA Prizes: Innovation (2021), Launch (2022), and Tremplin (2023). These awards underscore her contributions to advancing finance education and academic leadership.

Outreach and Thought Leadership

Dr. Ajili Ben Youssef engages widely in public discourse through articles in journals such as L’Économiste Maghrébin, where she writes on topics including technological disruption, financial resilience, and COVID-19 impacts. She has delivered keynotes, moderated roundtables, and presented at international forums across Europe, Asia, and the Middle East.

Mentorship and Supervision

She consistently supervises an average of 15 to 20 theses per year, covering topics such as financial innovation, risk management, and ESG investing. Her mentorship combines academic precision with professional relevance, nurturing future scholars and finance practitioners.

Legacy and Future Contributions

Dr. Wissem Ajili Ben Youssef continues to shape the future of sustainable finance, digital innovation, and economic governance. Her upcoming research will focus on integrating artificial intelligence, fintech, and regulatory frameworks to address emerging global financial challenges. Through her teaching, leadership, and research, she remains a prominent figure in transforming financial education and policy research.

Publications

 Finance in the Digital Age: The Challenges and Opportunities

Authors: Wissem Ajili Ben Youssef, Nadia Mansour
Source: Book Chapter in Technology: Toward Business Sustainability
Year: 2024
DOI: 10.1007/978-3-031-54009-7_5

 Uncovering Asymmetrical Contagion Effects: US Monetary Policy and Emerging Markets

Authors: Chokri Zehri, Wissem Ajili Ben Youssef, Latifa Saleh Iben Ammar
Journal: The Journal of International Trade & Economic Development
Year: 2024
DOI: 10.1080/09638199.2024.2310700

The Factoring 2.0 in the Era of the Fintech Revolution Context

Authors: Wissem Ajili Ben Youssef, Nadia Mansour
Source: Book Chapter in Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application
Year: 2024
DOI: 10.1108/s1479-351220240000036004

Corporate Resilience in the Face of COVID-19: A Proposal Measurement Index

Authors: Wissem Ajili Ben Youssef, Imen Ben Slimene, Samir B. Maliki, Mourad Kertous, Afef Khalil, Nassiri Abdelhak, Mohammed El Amine Abdelli
Journal: Management International
Year: 2023
DOI: 10.59876/a-jq8d-0ztz

A Critical Analysis of Capital Controls: Implications for Crisis Prevention and Economic Performance

Authors: Chokri Zehri, Latifa Saleh Iben Ammar, Wissem Ajili Ben Youssef
Journal: International Review of Applied Economics
Year: 2023
DOI: 10.1080/02692171.2023.2291556

The Temporal Dimensions of Policy Responses to Capital Surges

Authors: Chokri Zehri, Latifa Saleh Iben Ammar, Wissem Ajili Ben Youssef, Fatma Zehri
Journal: Journal of Post Keynesian Economics
Year: 2023
DOI: 10.1080/01603477.2023.2275573