Award Editions

Award Editions

Milena Ignatova | Chemistry | Best Researcher Award

Prof. Milena Ignatova | Chemistry | Best Researcher Award

Institute of Polymers, Bulgarian Academy of Science | Bulgaria

Prof. Milena Ignatova is a distinguished researcher at the Laboratory of Bioactive Polymers, Institute of Polymers, Bulgarian Academy of Sciences (IP-BAS). Her prolific scientific career is reflected through 56 publications, cited 2,615 times by 2,070 documents, with an impressive h-index of 27. Her work primarily focuses on the design and synthesis of functional polymer materials derived from renewable and biodegradable sources. She has made remarkable contributions in developing electrospun nanofibrous and hybrid polymer materials with antibacterial, antioxidant, and anticancer properties. Prof. Ignatova has played a leading role in national and international research projects, including one as a principal investigator funded by the National Science Fund. Her research integrates polymer chemistry, nanotechnology, and biomedical applications to create multifunctional materials with potential uses in drug delivery, wound healing, and tissue engineering. Her studies on chitosan-, polylactide-, and poly(vinyl alcohol)-based electrospun fibers incorporating bioactive compounds such as rosmarinic acid and lidocaine have advanced the field of bioactive and smart materials. Through continuous innovation and international collaboration, Prof. Ignatova has established herself as a leading figure in polymer science, significantly contributing to the advancement of sustainable and biomedical polymer technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ignatova, M., Paneva, D., Kyuchyuk, S., Manolova, N., Rashkov, I., Mourdjeva, M., & Markova, N. (2025). Multifunctional electrospun materials from poly(vinyl alcohol)/chitosan and polylactide incorporating rosmarinic acid and lidocaine with antioxidant and antimicrobial properties. Polymers, 17(19), 2657.

Anastasova, I., Ignatova, M., Manolova, N., Rashkov, I., Markova, N., Toshkova, R., Georgieva, A., Kamenova-Nacheva, M., Trendafilova, A., & Ivanova, V. (2024). Chitosan/hyaluronate complex-coated electrospun poly(3-hydroxybutyrate) materials containing extracts from Melissa officinalis and/or Hypericum perforatum with various biological activities: Antioxidant, antibacterial and in vitro anticancer effects. Polymers, 16(15), 2105.

Anastasova, I., Tsekova, P., Ignatova, M., & Stoilova, O. (2024). Imparting photocatalytic and antioxidant properties to electrospun poly(L-lactide-co-D,L-lactide) materials. Polymers, 16(13), 1814.

Ignatova, M., Manolova, N., Rashkov, I., Georgieva, A., Toshkova, R., & Markova, N. (2023). 5-Amino-8-hydroxyquinoline-containing electrospun materials based on poly(vinyl alcohol) and carboxymethyl cellulose and their Cu²⁺ and Fe³⁺ complexes with diverse biological properties: Antibacterial, antifungal and anticancer. Polymers, 15(14), 3140.

Spasova, M., Stoyanova, N., Nachev, N., Ignatova, M., Manolova, N., Rashkov, I., Georgieva, A., Toshkova, R., & Markova, N. (2023). Innovative fibrous materials loaded with 5-nitro-8-hydroxyquinoline via electrospinning/electrospraying demonstrate antioxidant, antimicrobial and anticancer activities. Antioxidants, 12(6), 1243.

Ignatova, M., Anastasova, I., Manolova, N., Rashkov, I., Markova, N., Kukeva, R., Stoyanova, R., Georgieva, A., & Toshkova, R. (2022). Bio-based electrospun fibers from chitosan Schiff base and polylactide and their Cu²⁺ and Fe³⁺ complexes: Preparation and antibacterial and anticancer activities. Polymers, 14(22), 5002.

Ignatova, M., Nachev, N., Spasova, M., Manolova, N., Rashkov, I., & Naydenov, M. (2022). Electrospun 5-chloro-7-iodo-8-hydroxyquinoline (clioquinol)-containing poly(3-hydroxybutyrate)/polyvinylpyrrolidone antifungal materials prospective as active dressings against Esca. Polymers, 14(3), 367.

Ignatova, M., Manolova, N., Rashkov, I., Markova, N., Kukeva, R., Stoyanova, R., Georgieva, A., & Toshkova, R. (2021). 8-Hydroxyquinoline-5-sulfonic acid-containing poly(vinyl alcohol)/chitosan electrospun materials and their Cu²⁺ and Fe³⁺ complexes: Preparation, antibacterial, antifungal and antitumor activities. Polymers, 13(16), 2690.

Ignatova, M., Stoyanova, N., Manolova, N., Rashkov, I., Kukeva, R., Stoyanova, R., Toshkova, R., & Georgieva, A. (2020). Electrospun materials from polylactide and Schiff base derivative of Jeffamine ED® and 8-hydroxyquinoline-2-carboxaldehyde and its complex with Cu²⁺: Preparation, antioxidant and antitumor activities. Materials Science and Engineering C, 111, 111185.

Stoyanova, N., Ignatova, M., Manolova, N., Rashkov, I., Toshkova, R., & Georgieva, A. (2020). Nanoparticles based on complex of berberine chloride and polymethacrylic or polyacrylic acid with antioxidant and in vitro antitumor activities. International Journal of Pharmaceutics, 119, 119426.

Ignatova, M., Manolova, N., Rashkov, I., & Markova, N. (2018). Antibacterial and antioxidant electrospun materials from poly(3-hydroxybutyrate) and polyvinylpyrrolidone containing caffeic acid phenethyl ester: “In” and “on” strategies for enhanced solubility. International Journal of Pharmaceutics, 548, 13–25.

Tianyuan Xiao | Chemistry | Best Researcher Award

Prof. Tianyuan Xiao | Chemistry | Best Researcher Award

Qiqihar University | China

Prof. Tianyuan Xiao is a distinguished researcher with a strong record of contributions to materials chemistry and sustainable energy research, having published 32 scientific documents that have garnered 247 citations , reflecting an h-index of 9. His research primarily explores deep eutectic solvents (DES), lignin nanoparticles, covalent adaptive networks, flame retardant materials, and lignin-based adhesive hydrogels, with an additional focus on density functional theory (DFT) for molecular modeling and analysis. Prof. Xiao’s studies are driven by the pursuit of sustainable and high-performance materials derived from lignocellulosic biomass. His recent influential works include “Recent Progress in Deep Eutectic Solvent (DES) Fractionation of Lignocellulosic Components: A Review” published in Renewable and Sustainable Energy Reviews and “Cracking Aryl Ether Bonds of Lignin by Gamma-Valerolactone (GVL) in Coordination with Acid Lithium Bromide Molten Salt System” in the International Journal of Biological Macromolecules. Through his research, Prof. Xiao has significantly advanced understanding of biomass valorization, solvent design, and green chemistry, offering novel insights into environmentally friendly processes for energy and materials innovation.

Profile : Scopus

Featured Publications

Xiao, T., Song, J., Jia, W., Sun, Y., Guo, Y., Fatehi, P., & Shi, H. (2025). Cracking aryl ether bonds of lignin by γ-valerolactone (GVL) in coordination with acid lithium bromide molten salt system. International Journal of Biological Macromolecules, 309(Part 1), 142643.

Xiao, T., Hou, M., Guo, X., Cao, X., Li, C., Zhang, Q., Jia, W., Sun, Y., Guo, Y., & Shi, H. (2024). Recent progress in deep eutectic solvent (DES) fractionation of lignocellulosic components: A review. Renewable and Sustainable Energy Reviews, 192, 114243.

Salman Shahzad | Social Sciences | Best Researcher Award

Mr. Salman Shahzad | Social Sciences | Best Researcher Award

Xi'an Jiaotong University | China

Mr. Salman Shahzad is a distinguished legal researcher whose academic and scholarly work focuses on public-private partnerships, intellectual property law, and comparative legal systems. Currently pursuing a Ph.D. at Xi’an Jiaotong University, his research explores legal frameworks for public-private partnerships in emerging economies, particularly comparing Pakistan and China. He has earned recognition for his academic excellence, including awards from the New Silk Road Law School Alliance and multiple “Outstanding International Student” honors. His extensive participation in international conferences and training programs—ranging from AI law and corporate law to climate change and arbitration—reflects his interdisciplinary engagement with global legal challenges. With a strong foundation in intellectual property law from Zhongnan University of Economics and Law and an LLB from Abdul Wali Khan University, he has contributed significantly to discussions on copyright, patent harmonization, and digital regulation. His publications span topics such as AI liability, cyberbullying, and extradition law, featured in reputable platforms including ResearchGate and national newspapers. Mr. Shahzad’s active memberships in professional legal associations and contributions to legal education, writing, and policy discourse demonstrate his commitment to advancing legal scholarship and bridging comparative perspectives between national and international legal systems.

Profiles : Orcid | Google Scholar

Featured Publications

Shahzad, S., & Wang, B. (2025, June 2). Geographical indications and sustainable development: Bridging policy gaps in Pakistan’s GI framework for socio-economic growth. Sustainability, 17(11), 5114.

Luigi Fortuna | Engineering | Excellence in Innovation Award

Prof. Luigi Fortuna | Engineering | Excellence in Innovation Award

Universit Di Catania | Italy

Prof. Luigi Fortuna is a distinguished researcher whose prolific contributions have significantly advanced the fields of automation, nonlinear systems, bioengineering, and control theory. Over his career, he has published 760 scientific documents, accumulating 14,687 citations and achieving an impressive h-index of 67, reflecting the depth and impact of his scholarly output. His extensive body of work spans topics such as robust control, model order reduction, nonlinear electronic circuits, bio-inspired robotics, and complex system engineering. He has co-authored 24 internationally recognized books, including Nonlinear Resonance from Circuits to Systems (2025) and Essentials of Automatic Control with MATLAB in 20 Lessons (2025), which have become key academic resources. A mentor to over 400 thesis projects and 60 Ph.D. students, his dedication to education and innovation is unparalleled. Prof. Fortuna’s research integrates theory and application, exemplified by his 11 industrial patents that bridge academic insight with technological innovation. His leadership roles—such as Dean of Engineering at the University of Catania and Director of the Innovation Relay Center—underscore his influence in academia and industry alike. His interdisciplinary vision continues to inspire advancements in nonlinear dynamics, intelligent systems, and quantum-inspired engineering research worldwide.

Profiles : Scopus | Google Scholar

Featured Publications

Yadav, U. K., Singh, V. P., Fortuna, L., & Sahu, U. K. (2025). SMART-based multi-point matching assisted approximation of renewable interconnected power system. IEEE Access.

Lai, Q., Liu, Y., & Fortuna, L. (2024). Dynamical analysis and fixed-time synchronization for secure communication of hidden multiscroll memristive chaotic system. IEEE Transactions on Circuits and Systems I: Regular Papers.

Fortuna, L., & Buscarino, A. (2024). The impact of circuits and systems on the Etna Valley site [CAS Regional Report]. IEEE Circuits and Systems Magazine, 24(2), 98–100.

Bucolo, M., Buscarino, A., Famoso, C., Fortuna, L., & Frasca, M. (2019). Control of imperfect dynamical systems. Nonlinear Dynamics, 98, 2989–2999.

Buscarino, A., Corradino, C., Fortuna, L., Frasca, M., & Chua, L. O. (2016). Turing patterns in memristive cellular nonlinear networks. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(8), 1222–1230.

Buscarino, A., Gambuzza, L. V., Porfiri, M., Fortuna, L., & Frasca, M. (2013). Robustness to noise in synchronization of complex networks. Scientific Reports, 3(1), 2026.

Frasca, M., Bergner, A., Kurths, J., & Fortuna, L. (2012). Bifurcations in a star-like network of Stuart–Landau oscillators. International Journal of Bifurcation and Chaos, 22(7), 1250173.

Fortuna, L., Frasca, M., & Xibilia, M. G. (2009). Chua’s circuit implementations: Yesterday, today and tomorrow (Vol. 65). World Scientific.

Caponetto, R., Fortuna, L., Fazzino, S., & Xibilia, M. G. (2003). Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 7(3), 289–304.

Bucolo, M., Caponetto, R., Fortuna, L., Frasca, M., & Rizzo, A. (2002). Does chaos work better than noise? IEEE Circuits and Systems Magazine, 2(3), 4–19.*

Gwo Dong Lin | Mathematics | Excellence in Research Award

Prof. Gwo Dong Lin | Mathematics | Excellence in Research Award

Academia Sinica, Institute of Statistical Science | Taiwan

Prof. Gwo Dong Lin is a distinguished statistician and mathematician whose extensive contributions have profoundly influenced the fields of probability theory, moment problems, and life distribution analysis. With an h-index of 18, 71 published documents, and 933 citations from 783 sources, his scholarly output demonstrates both depth and enduring impact. He earned his Ph.D. in Management Science from Tamkang University, following earlier degrees in mathematics from National Taiwan Normal University. Over his career, Prof. Lin served at Academia Sinica’s Institute of Statistical Science, including roles as Deputy Director and Acting Director, and later as Adjunct Research Fellow. He has also directed the Social and Data Science Research Center under the Hwa-Kang Xing-Ye Foundation. His editorial work spans several international journals, and he has been an invited speaker at global conferences organized by the International Statistical Institute and other leading organizations. Recognized as an ISI Elected Member since 1991 and recipient of Taiwan’s Outstanding Research Award (1994–1995), Prof. Lin’s pioneering studies on characterizations of distributions, inequalities for transforms, and moment determinacy continue to shape modern statistical theory and inspire future explorations in applied probability and statistical modeling.

Profile : Scopus

Featured Publications 

Lin, G. D., & Stoyanov, J. (2025). New sufficient conditions for moment-determinacy via probability density tails. Mathematics, 13, 2671.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2025). EM estimation of the B-spline copula with penalized pseudo-likelihood functions. Statistical Papers, 66, 30.

Lin, G. D., & Stoyanov, J. (2024). New characterizations of the Gamma distribution via independence of two statistics by using Anosov’s theorem. Theory of Probability and Its Applications, 69, 745–759 (Russian edition); SIAM version, 69, 592–604.

Hu, C.-Y., & Lin, G. D. (2022). Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments. Annals of the Institute of Statistical Mathematics, 74, 473–488.

Lin, G. D., & Hu, C.-Y. (2022). On the semi-Mittag-Leffler distributions. Probability and Mathematical Statistics, 42, 81–96.

Hu, C.-Y., Lin, G. D., & Stoyanov, J. (2021). Characterization of probability distributions via functional equations of power-mixture type. Mathematics, 9, 271. Also in: L. Shaikhet (Ed.), Prime Archives in Applied Mathematics (2nd ed.). Hyderabad, India: Vide Leaf.

Lin, G. D., & Dou, X. (2021). An identity for two integral transforms applied to the uniqueness of a distribution via its Laplace–Stieltjes transform. Statistics, 55, 365–385.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2021). Dependence structures of B-spline copulas. Sankhyā: The Indian Journal of Statistics, Series A, 83, 238–311.

Lin, G. D., & Hu, C.-Y. (2021). Formulas of absolute moments. Sankhyā: The Indian Journal of Statistics, Series A, 83, 476–495.

Hu, C.-Y., & Lin, G. D. (2020). Necessary and sufficient conditions for unique solution to functional equations of Poincaré type. Journal of Mathematical Analysis and Applications, 491, 124399.

Stoyanov, J. M., Lin, G. D., & Kopanov, P. (2020). New checkable conditions for moment determinacy of probability distributions. Theory of Probability and Its Applications, 65, 634–648 (Russian edition); SIAM version, 65, 497–509.

Lin, G. D., Dou, X., & Kuriki, S. (2019). The bivariate lack-of-memory distributions. Sankhyā: The Indian Journal of Statistics, Series A, 81, 273–297.

Lin, G. D. (2019). On powers of the Catalan number sequence. Discrete Mathematics, 342, 2139–2147.

Hu, C.-Y., & Lin, G. D. (2018). Characterizations of the logistic and related distributions. Journal of Mathematical Analysis and Applications, 463, 79–92.

Lin, G. D. (2017). Recent developments on the moment problem. Journal of Statistical Distributions and Applications, 4, 5.

Lai, C.-D., Lin, G. D., Govindaraju, K., & Pirikahu, S. (2017). A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution. Journal of Statistical Computation and Simulation, 87, 156–170.

Juan Chen | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Juan Chen | Mathematics | Best Researcher Award

Wuhan University of Science and Technology | China

Assoc. Prof. Dr. Juan Chen is a distinguished scholar in computational mathematics and complex network dynamics, currently serving at the College of Science, Wuhan University of Science and Technology. With a Ph.D. from Wuhan University, Dr. Chen has made significant contributions to nonlinear systems, synchronization, and complex network theory. Her prolific academic record includes 33 research documents, 432 citations, and an h-index of 13, reflecting her impact in the field. Dr. Chen’s works have appeared in leading journals such as IEEE Transactions on Network Science and Engineering, Chaos, Solitons and Fractals, and Expert Systems with Applications. She has authored influential books, including Synchronization of Complex Dynamical Networks, and contributed chapters to Springer handbooks. As a principal investigator and key collaborator on multiple National Natural Science Foundation of China projects, her research bridges mathematical theory and applied network science. Dr. Chen’s focus on synchronization, control, and robustness of complex networks highlights her pivotal role in advancing interdisciplinary computational research. Her dedication to exploring network behavior, information processing, and system dynamics positions her as an influential figure in contemporary applied mathematics and systems engineering.

Profiles : Scopus | Orcid

Featured Publications

Yin, L., Chen, J., Gao, F., & Wu, X. (2025). Coevolution of opinion and consumption behavior under a two-layer network framework. Physica A: Statistical Mechanics and its Applications, 680, 131020.

Yu, X., Tu, L., Chai, L., Wang, X., & Chen, J. (2024). Construction of implicit social network and recommendation between users and items via the ISR-RRM algorithm. Expert Systems with Applications, 235, 121229.

Chai, L., Tu, L., Yu, X., Wang, X., & Chen, J. (2023). Link prediction and its optimization based on low-rank representation of network structures. Expert Systems with Applications, 219, 119680.

Chai, L., Tu, L., Wang, X., & Chen, J. (2022). Network-energy-based predictability and link-corrected prediction in complex networks. Expert Systems with Applications, 207, 118005.

Shen, H., Tu, L., Guo, Y., & Chen, J. (2022). The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network. Chaos, Solitons and Fractals, 165, 112801.

Chen, J., Li, X., Wu, X., & Shen, G. (2022). Prescribed-time synchronization of complex dynamical networks with and without time-varying delays. IEEE Transactions on Network Science and Engineering, 9, 4017–4027.

Zhang, P., Chen, J., Tu, L., & Yin, L. (2022). Layout evaluation of new energy vehicle charging stations: A perspective using the complex network robustness theory. World Electric Vehicle Journal, 13, 127.

Zhou, J., Chen, J., & Lu, J. (2017). On applicability of auxiliary system approach to detect generalized synchronization in complex networks. IEEE Transactions on Automatic Control, 62(7), 3468–3473.

Chen, J., Lu, J., & Zhou, J. (2013). Topology identification of complex networks from noisy time series using ROC curve analysis. Nonlinear Dynamics, 74, 1–8.

Zhang, Q., Chen, J., & Wan, L. (2013). Impulsive generalized function synchronization of complex dynamical networks. Physics Letters A, 377, 2754–2760.

Chen, J., Lu, J., Lu, X., Wu, X., & Chen, G. (2013). Spectral coarse graining of complex clustered networks. Communications in Nonlinear Science and Numerical Simulation, 18, 3036–3045.

Jiayang Gao | Business, Management and Accounting | Best Researcher Award

Assoc. Prof. Dr. Jiayang Gao | Business, Management and Accounting | Best Researcher Award

South China Normal University | China

Assoc. Prof. Dr. Jiayang Gao is an accomplished scholar in Management at the School of Economics and Management, South China Normal University, specializing in sustainability and innovation management. With an academic journey that began with a B.Sc. in Mathematics from Southeast University, followed by an M.Sc. in Computer Science at South China Normal University, and culminating in a Ph.D. in Management from Sun Yat-Sen University, Dr. Gao has built a strong interdisciplinary foundation. His academic career spans nearly two decades, serving as Lecturer from 2007 to 2025 before being appointed Associate Professor in 2025. He has further enriched his international experience as an Academic Visitor at the University of Birmingham and Loughborough University in the UK. Dr. Gao has authored 4 indexed documents with 39 citations across 39 scholarly records, achieving an h-index of 2, reflecting his growing influence in the field. His research explores mechanisms shaping emergent industries, institutional policy, and social psychology in workplace dynamics, with notable publications in Transportation Research Part D, Current Issues in Tourism, and Technological Forecasting and Social Change. He has also led and co-led several provincial and national research projects, particularly on clean energy vehicles, decent work, and digital industry transformation.

Profile : Scopus

Featured Publications

"Cold waves and electric vehicle adoption: Evidence from Chinese cities"
"Air quality and tourism orders: a quasi-experimental study"
"Forecasting the development of Clean energy vehicles in large Cities: A system dynamics perspective"
"Effects of Public Funding on the Commercial Diffusion of On-site Hydrogen Production Technology: A System Dynamics Perspective"
"Technical or Non-technical Innovation: Transformation Given Consideration to Decent Work by Small OEM Manufacturers"
"Did Industrial Upgrading Restrain Decent Work in the GPN Context: Based on Evidences from Guangdong Province"
"Study Review on FDI’s Impacts on Host Country Decent Work’s Main Index"
"State action on Online game industry and business marketing decision"
"Comparable study on Dynamic advantage among regional digital entertainment industry cluster"
"The comparison Study on online game industrial international Competitiveness between China and Korea"

 

 

Hassan Ramchoun | Mathematics | Best Researcher Award

Dr. Hassan Ramchoun | Mathematics | Best Researcher Award

Moulay Ismail University | Morocco

Author Profile

Scopus

Early Academic Pursuits

Dr. Hassan Ramchoun’s academic journey reflects a strong foundation in mathematics and computer science. Beginning with his bachelor’s studies in applied mathematics, he progressively advanced through a master’s degree in operations research and statistics, where he explored Bayesian approaches in artificial neural networks for medical imaging. His doctoral research in applied mathematics and computer science further solidified his expertise, focusing on parameter and hyper-parameter estimation in Bayesian neural networks with applications in classification and regression. These early experiences shaped his specialization in applied mathematics, artificial intelligence, and machine learning.

Professional Endeavors

Dr. Ramchoun has built a diverse academic career with teaching, research, and leadership responsibilities. Since joining ENCG Meknès, Moulay Ismail University, as a lecturer, he has also taught at multiple institutions including ENSAM Meknès and the Euro-Mediterranean University of Fès. His teaching portfolio covers a wide spectrum, from probability and statistics to optimization, data analysis, and artificial intelligence. His active engagement in curriculum design, supervision of students, and participation in doctoral juries reflects his deep commitment to higher education and student mentorship.

Contributions and Research Focus

Dr. Ramchoun’s research focuses on applied mathematics, artificial intelligence, and data science, with particular emphasis on Bayesian neural networks, deep learning, optimization, and statistical learning methods. He has contributed to developing new methods for training and optimizing neural networks, incorporating regularization and Bayesian inference. His work extends to multi-objective optimization for neural architectures, convolutional neural networks, and applications in big data analytics. His scholarly contributions are reflected in numerous publications in international journals and conferences, alongside editorial contributions to Springer volumes on artificial intelligence and industrial applications.

Accolades and Recognition

Dr. Ramchoun’s academic excellence has been acknowledged through distinctions such as the CNRST excellence research scholarship and his recognition for doctoral work with high honors. His research output is regularly published in reputed international journals including Neurocomputing, Knowledge-Based Systems, Soft Computing, and Evolving Systems. His active involvement as a reviewer for leading journals and as a member of scientific committees of conferences demonstrates recognition of his expertise by the global scientific community.

Impact and Influence

Through his work, Dr. Ramchoun has significantly influenced both the academic and applied dimensions of artificial intelligence. His innovations in neural network optimization and Bayesian learning methods have advanced understanding in machine learning research, while his teaching and supervision of master’s and doctoral students have contributed to developing future generations of researchers. By bridging theoretical modeling with practical applications, his contributions have relevance not only in academia but also in applied domains such as data science, robotics, and image processing.

Legacy and Future Contributions

The legacy of Dr. Ramchoun lies in his efforts to advance the integration of applied mathematics with artificial intelligence, particularly in deep learning and Bayesian modeling. His involvement in research projects, scientific committees, and international conferences ensures that his contributions extend beyond publications to shaping the field itself. Looking forward, his continued work in optimization techniques, advanced statistical learning, and interdisciplinary applications promises to strengthen the role of artificial intelligence in addressing scientific and industrial challenges.

Publications


  • Article: Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Neurocomputing
    Year: 2025


  • Article: Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
    Authors: Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik
    Journal: Evolving Systems
    Year: 2024


  • Article: Implicitly adaptive optimal proposal in variational inference for Bayesian learning
    Authors: Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, et al.
    Journal: International Journal of Data Science and Analytics
    Year: 2024


  • Article: Gaussian Mixture Models for Training Bayesian Convolutional Neural Networks
    Authors: Bakhouya, M., Ramchoun, H., Hadda, M., Masrour, T.
    Journal: Evolutionary Intelligence (Springer)
    Year: 2024


  • Article: Sparse smooth group L0L1/2 regularization method for convolutional neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Knowledge-Based Systems
    Year: 2023


Conclusion

Dr. Hassan Ramchoun exemplifies the qualities of a dedicated academic, innovative researcher, and committed educator. His career reflects a balance of teaching excellence, impactful research, and institutional service. With strong foundations in mathematics and expertise in artificial intelligence, his contributions are shaping the evolving landscape of machine learning and data science. His recognition, publications, and leadership in academic communities confirm his standing as an influential figure whose work will continue to resonate in both research and applied domains.

Shadi Hassanajili | Chemical Engineering | Best Researcher Award

Prof. Dr. Shadi Hassanajili | Chemical Engineering | Best Researcher Award

Shiraz University | Iran

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Prof. Dr. Shadi Hassanajili laid a strong foundation in the field of chemical and polymer engineering through her studies at leading Iranian universities. Her academic journey began with a bachelor’s degree in chemical engineering, where she investigated the use of PVC plastisol as a synthetic leather material. She advanced her specialization with a master’s degree in polymer engineering, focusing on polyurethane and polypropylene blends for blood bag materials. Her doctoral research in polymer engineering at Tarbiat Modares University centered on polyurethane and polycaprolactone blends as cardiovascular implants, marking the beginning of her lifelong engagement with biomedical materials and polymeric innovations.

Professional Endeavors

Over the years, Prof. Hassanajili has held several significant academic and administrative positions at Shiraz University. Her career began as an assistant professor and evolved into leadership roles such as Head of the Department of Chemical Engineering and Vice Chancellor for Education and Graduate Studies. Rising to the rank of professor, she has made lasting contributions to teaching and institutional development. Her long-standing commitment to higher education reflects her ability to balance research, leadership, and mentoring with excellence.

Contributions and Research Focus

Prof. Hassanajili’s research spans a wide range of areas including biomedical materials, rheology of polymers, nanocomposites, polymeric membranes for gas separation, and ferrofluids for oil spill remediation. She has pioneered work in developing smart polymeric stents with anticoagulation properties, self-healing coatings for anti-corrosion, and nanocomposite gels for water management in hydrocarbon reservoirs. Her patents in polymer-coated nanoparticles, gas separation membranes, and oil pollution devices highlight her innovative approach to solving industrial and environmental challenges. Her research reflects a deep integration of polymer science with healthcare, energy, and environmental applications.

Accolades and Recognition

Throughout her career, Prof. Hassanajili has been recognized for academic excellence and innovation. She graduated with distinction at both the bachelor’s and master’s levels, earning top ranks in her field, and received the prestigious Excellent PhD Thesis Award. Her recognition extends to her patents and funded projects, which showcase her ability to translate research into impactful technological solutions. These honors underscore her standing as a leading figure in polymer and chemical engineering.

Impact and Influence

Prof. Hassanajili has had a profound influence on both academic and industrial spheres. Her work in polymer-based biomedical applications has advanced knowledge in cardiovascular implants, scaffolds, and wound-healing technologies. In the energy sector, her contributions to enhanced oil recovery, polymer-enriched water systems, and nanocomposites have improved efficiency and sustainability. Her teaching of core courses in thermodynamics, rheology, polymer engineering, and fluid mechanics has shaped generations of chemical engineers, while her leadership roles have strengthened Shiraz University’s position in scientific research and education.

Legacy and Future Contributions

The legacy of Prof. Hassanajili lies in her ability to bridge fundamental polymer science with applied engineering for human health, industry, and the environment. Her patents, publications, and collaborative projects with national industries demonstrate her forward-looking vision. With continued engagement in nanomedicine, self-healing materials, and environmentally responsive polymers, her future contributions are poised to further impact healthcare innovations and sustainable engineering practices.

Publications


  • Thermal and mechanical enhancement of poly (methyl methacrylate) microcapsules using multi-walled carbon nanotubes and hydrophobic silica nanoparticles
    Authors: Abed Khavand, Fereshteh Ayazi, Shadi Hassanajili
    Journal: Journal of Molecular Liquids
    Year: 2025


  • Fabrication of rapid self-healing thermoset polymer by the encapsulation of low-viscosity unsaturated vinyl ester resin and methyl ethyl ketone peroxide for the corrosion
    Authors: A. Khavand, S. Hassanajili
    Journal: Polymer Bulletin
    Year: 2024


  • Development and characterization of bio-based polyurethane flexible foams containing silver nanoparticles for efficient dermal healing application
    Authors: M.M. Soltanzadeh, M.R. Hojjati, S. Hassanajili, A.A. Mohammadi
    Journal: New Journal of Chemistry
    Year: 2024


  • Enhanced Natural Gas Sweetening with Ultralow H₂S Concentration via Polycarbonate-Silica Mixed Matrix Membranes
    Authors: R. Sadeghi, S. Hassanajili
    Journal: Korean Journal of Chemical Engineering
    Year: 2024


  • Zoledronate loaded polylactic acid/polycaprolactone/hydroxyapatite scaffold accelerates regeneration and led to enhance structural performance and functional ability of the radial bone defect in rat
    Authors: A. Oryan, S. Hassanajili, S. Sahvieh
    Journal: Iranian Journal of Veterinary Research
    Year: 2023


Conclusion

Prof. Dr. Shadi Hassanajili represents an exceptional blend of academic brilliance, pioneering research, and institutional leadership. From her early academic pursuits in chemical and polymer engineering to her current role as a professor and innovator, she has consistently advanced the boundaries of knowledge. Her contributions in biomedical polymers, nanocomposites, and environmental applications reflect both scientific depth and societal relevance. Her career stands as a testament to the role of dedicated scholarship in driving innovation, inspiring students, and shaping industries.