Tatiana Tchemisova Cordeiro | Mathematics | Women Researcher Award

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Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro | Mathematics | Women Researcher Award

Associate Professor, University of Aveiro, Portugal

Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro is an Associate Professor in the Department of Mathematics at the University of Aveiro, Portugal, with a distinguished career spanning over three decades in mathematics and operational research. She earned her Ph.D. in Physical and Mathematical Sciences from the National Academy of Sciences of Belarus in 1996, which was recognized as Habilitation equivalent by the University of Aveiro in 1999, and holds both a Master’s and undergraduate degree in Mathematics from Belarusian State University (1987). Her primary research interests include optimization theory, continuous optimization, operational research applications, and integrating advanced mathematical methods into modern pedagogical practices, while emerging interests focus on digital learning techniques and international collaborative projects in applied mathematics. Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro has held key academic positions at the University of Aveiro, progressing from Invited Assistant Professor (1999–2005), Assistant Professor (experimental period 2005–2010, definitive 2010–2021), to her current role as Associate Professor since 2021, and previously served as Teaching Professor at ISLA Leiria and Junior Researcher at the Institute of Mathematics, National Academy of Sciences of Belarus. Her major contributions include leading multiple Erasmus+ international projects such as “Bot-Learning as a Modern Teaching Method of Gen Z” and MELES initiatives, expert evaluation of Portuguese Government PRR and European Commission EIC Accelerator proposals and advancing research in continuous optimization and operational research applications. She has produced 45 publications with 191 citations and an h-index of 8, reflecting her impact in highly reputed journals and conferences. Assoc. Prof. Dr. Tatiana Tchemisova Cordeiro’s awards and recognitions include prestigious research project evaluations and leadership roles in international scientific forums, notably serving as Vice President of APDIO, APDIO Representative to EURO and IFORS, Chair of the WISDOM PR Subcommittee, and Vice-Chair of the Managing Board of EUROPT. She is an active member of the Portuguese Mathematical Society, EURO, EUROPT, APDIO, BelOR and various cultural associations, contributing to editorial boards, peer-reviewing and policy development. Her work demonstrates a strong vision of bridging theoretical mathematics and practical applications in education, research and societal development, fostering international collaborations, mentoring the next generation of mathematicians and promoting gender equity in STEM fields, thus making substantial contributions to global scientific innovation, academic excellence and community enrichment.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Sci Profiles | Academia | LinkedIn 

Featured Publications

Kostyukova, O., & Tchemisova, T. (2017). Optimality conditions for convex semi-infinite programming problems with finitely representable compact index sets. Journal of Optimization Theory and Applications, 175(1), 76–103.

Martins, I., Guedes, T., Rama, P., Ramos, J., & Tchemisova, T. (2011). Modelling the problem of food distribution by the Portuguese food banks. International Journal of Mathematical Modelling and Numerical Optimisation, 2, 25.

Kostyukova, O. I., & Tchemisova, T. V. (2012). Optimality criteria without constraint qualifications for linear semidefinite problems. Journal of Mathematical Sciences, 182(2), 126–143.

Kostyukova, O. I., & Tchemisova, T. V. (2010). Sufficient optimality conditions for convex semi-infinite programming. Optimization Methods & Software, 25(2), 279–297.

Plakhov, A., Tchemisova, T., & Gouveia, P. (2010). Spinning rough disc moving in a rarefied medium. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 466(2124), 20.

Xitong Li | Human-AI | Best Researcher Award

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Prof. Xitong Li | Human-AI | Best Researcher Award

Professor, HEC Paris, France

Prof. Xitong Li is a distinguished professor at HEC Paris, specializing in human-AI interaction, digital economy, social computing and computational social science. He holds dual Ph.D. degrees: one in Management with a specialization in Information Systems from MIT Sloan School of Management (2014) and another in Control Science and Engineering with a focus on Software Engineering from Tsinghua University, China (2010), along with a B.S. in the same field from Tsinghua University (2004). Over his academic career, he has held positions ranging from Assistant Professor (2014–2018) and Associate Professor with tenure (2019–2022) to Professor (2023–present) at HEC Paris and currently serves as a Research Fellow at Hi! PARIS, a joint research center with the Polytechnic Institute of Paris. Prof. Xitong Li’s research interests encompass applied econometrics, field and laboratory experiments, system design, development of AI-supported applications and studying the economics and societal impact of AI. He has led numerous international and national research projects, including ANR AAPG France, LABEX ECODEC initiatives and HEC Foundation-funded studies, demonstrating strong leadership and collaboration capabilities. His research output includes over 60 publications, with 1,397 citations and an h-index of 20, featured in top-tier journals and conferences such as IEEE Transactions, MIS Quarterly, and ICIS. Prof. Xitong Li has held senior editorial roles, including Senior Editor at Production and Operations Management and Associate Editor at Information Systems Research and has contributed to multiple special issues in leading journals. His teaching portfolio spans Data Science, Business Analytics, Decision Modeling and Digital Management courses, alongside guest lectures at international institutions. Recognized with awards such as the INFORMS ISS Sandy Slaughter Early Career Award (2022), HEC Foundation Researcher of the Year (2023) and inclusion among the Top 10 Chinese Tech Leaders in Europe (2025), Prof. Xitong Li combines research excellence, mentorship and societal impact. With his pioneering work and ongoing international collaborations, he is poised to further advance human-AI research, elevate academic standards globally and mentor the next generation of leaders in the digital economy and AI-driven innovation.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | LinkedIn | X.Com |  Google Sites | HEC Paris

Featured Publications

Li, X., & Wu, L. (2018). Herding and social media word-of-mouth: Evidence from Groupon. MIS Quarterly, 42(4), 1331–1351.

Hu, X., Li, X., Ngai, E. C. H., Leung, V. C. M., & Kruchten, P. (2014). Multidimensional context-aware social network architecture for mobile crowdsensing. IEEE Communications Magazine, 52(6), 78–87.

You, S., Yang, C. L., & Li, X. (2022). Algorithmic versus human advice: Does presenting prediction performance matter for algorithm appreciation? Journal of Management Information Systems, 39(2), 336–365.

Deng, S., Wang, D., Li, X., & Xu, G. (2015). Exploring user emotion in microblogs for music recommendation. Expert Systems with Applications, 42(23), 9284–9293.

Li, X., Grahl, J., & Hinz, O. (2022). How do recommender systems lead to consumer purchases? A causal mediation analysis of a field experiment. Information Systems Research, 33(2), 620–637.

 

Antoni Mir Pons | Civil Engineering | Young Researcher Award

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Mr. Antoni Mir Pons | Civil Engineering | Young Researcher Award

PhD, University of the Balearic Islands, Spain

Mr. Antoni Mir Pons is a talented civil engineer and researcher specializing in structural reinforcement using iron-based shape-memory alloys (Fe-SMA) for reinforced concrete structures. He is currently pursuing a Ph.D. at the University of the Balearic Islands, Spain, focusing on the performance of RC elements under semi-cyclic loading to develop sustainable techniques that extend structural service life. He holds dual bachelor’s degrees in Industrial Technology Engineering and Business Administration from the University of Girona, a Master’s in Industrial Engineering from the University of the Balearic Islands—recognized with the Best Master’s Thesis award for developing flexural reinforcement technology optimized for cyclically loaded concrete structures—and an ongoing Master’s in Teacher Training from the International University of Valencia. Professionally, he has served as a researcher at the University of the Balearic Islands within the UIB Construct Research Group, contributing to experimental testing, characterization of Fe-SMA bars, and development of active reinforcement technologies under the CICLO Project (PRD2020/39). He has also gained practical experience in industrial technical offices and acoustic engineering, combining field expertise with academic research. Mr. Antoni Mir Pons’ research interests include shape-memory alloys, semi-cyclic loading, concrete strengthening techniques, reinforced concrete behavior, martensitic transformation and FRP reinforcement, supported by strong research skills in experimental design, data analysis, AutoCAD, analytical problem-solving and machine learning applications in engineering. His professional contributions extend to teaching laboratory courses, mentoring students and actively participating in research projects. He has received recognition for his innovative research through the Best Master’s Thesis award and continues to build a publication record in high-impact journals and conferences. With a combination of advanced technical expertise, applied research, and educational involvement, Mr. Antoni Mir Pons Pons demonstrates exceptional potential to lead transformative work in sustainable structural engineering, contributing both to the academic community and society at large through resilient infrastructure solutions, mentorship and innovative engineering technologies.

Profile: Scopus | ResearchGate | LinkedIn

Featured Publications

Mir, A., del Río-Bonnín, S., Ribas, C., Ruiz-Pinilla, J. G., & Cladera, A. (2024). Experimental study on semi-cyclic loading effects on Fe-SMA reinforced concrete structures. Procedia Structural Integrity, 64, 384–391.

Mir, A., del Río-Bonnín, S., Ribas, C., Ruiz-Pinilla, J. G., Ortiz, G., Oller, E., & Cladera, A. (2024). Effects of semi-cyclic loading on the recovery stresses of iron-based shape-memory alloy bars. Procedia Structural Integrity, 64, 279–284.

Mir Pons, A., Del-Río Bonnín, S., Ruiz-Pinilla, J. G., & Cladera, A. (2025). Experimental study on recovery stress losses in Fe-SMA rebars under semi-cyclic loads considering different activation temperatures and multiple activations.

Mir Pons, A., Kustov, B., Ruiz Pinilla, J. G., & Cladera, A. (2024). Characterization of 11-mm Fe-SMA bars used as prestressing reinforcement in concrete structures.

Mir Pons, A., Del Río-Bonnín, S., Ribas, C., & Cladera, A. (2024). Effects of semi-cyclic loading on reinforced concrete beams strengthened with iron-based shape-memory alloy bars.

 

Omar | Artificial Intelligence | Best Researcher Award

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Dr. Omar | Artificial Intelligence | Best Researcher Award

Assistant Professor, King Saud University, Saudi Arabia

Dr. Omar, an accomplished Assistant Professor at King Saud University, is a leading researcher in Artificial Intelligence, High Performance Computing, and Parallel Processing with extensive expertise in interconnection networks. He earned his Ph.D. in Computer Science from Oregon State University, USA, in 2014, with a dissertation on “One-to-Many Node Disjoint Paths Routing in Generalized Hypercube, Dense Gaussian, and Hexagonal Mesh Networks,” following an M.Sc. in Computer Science (2007) and a B.Sc. in Computer Science (2004) from King Saud University, both completed with distinction. Professionally, Dr. Omar has over a decade of experience at King Saud University, including roles as Assistant Professor, Chief Information Officer, and Board Member at Knowledge Developers, where he has demonstrated exceptional leadership in managing teams, strategic IT initiatives and organizational digital transformation. He is actively engaged in teaching programming languages, data structures, artificial intelligence and parallel processing, while supervising student graduation projects. His research contributions include the development of novel routing algorithms that reduce communication latency in parallel systems, particularly in node-to-set routing across advanced interconnection networks. Dr. Omar has authored seven publications with 78 citations and an h-index of 4, reflecting his impact on both theoretical and applied aspects of computing. His technical proficiency spans Java, JavaScript, Shell Scripting, PHP, XML, Oracle, SQL Server, MySQL, Data Warehousing, Business Intelligence, Cloud Computing, Linux and IT systems integration, alongside strong competencies in project management, stakeholder engagement and executive leadership. He has earned recognition for his contributions to research, teaching and institutional development and is an active member of professional societies, holding certifications in project management and data governance. Dr. Omar’s research interests include advancing parallel processing frameworks, designing high-performance routing protocols, and applying AI techniques to computational optimization. His dedication to mentoring, innovation and collaborative research positions him as a future leader in global computing research. Dr. Omar is highly deserving of recognition for his outstanding contributions to Artificial Intelligence and High Performance Computing, demonstrating a blend of technical expertise, academic excellence, leadership and potential to influence the next generation of researchers and technological advancements worldwide.

Profile: Scopus | ORCID | Google Scholar | ACM Digital Library | LinkedIn 

Featured Publications

  • Al-Ahmadi, S., Alotaibi, A., & Alsaleh, O. (2022). PDGAN: Phishing detection with generative adversarial networks. IEEE Access, 10, 42459–42468.

  • Alsaleh, O., Bose, B., & Hamdaoui, B. (2015). One-to-many node-disjoint paths routing in dense Gaussian networks. The Computer Journal, 58(2), 173–187.

  • Alsaleh, O., Venkatraman, P., Hamdaoui, B., & Fern, A. (2011). Enabling opportunistic and dynamic spectrum access through learning techniques. Wireless Communications and Mobile Computing, 11(12), 1497–1506.

  • Alsaleh, O., Hamdaoui, B., & Fern, A. (2010). Q-learning for opportunistic spectrum access. In Proceedings of the 6th International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 1–6). ACM.

  • Alsaleh, O., Hamdaoui, B., & Rayes, A. (2012). Improving quality of data user experience in 4G distributed telecommunication systems. In Proceedings of the 2012 International Conference on Collaboration Technologies and Systems (CTS) (pp. 1–10).

 

Dilshod Nematov | Machine Learning | Best Researcher Award

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Prof. Dr. Dilshod Nematov | Machine Learning | Best Researcher Award

Head of the Quantum Electronics Laboratory, S.U.Umarov Physical–Technical Institute of the National Academy of Sciences of Tajikistan, Tajikistan

Prof. Dr. Dilshod Nematov, Ph.D., is a distinguished physicist and the Head of the Laboratory of Quantum Electronics at the S.U. Umarov Physical–Technical Institute of the National Academy of Sciences of Tajikistan, recognized for his interdisciplinary expertise in physics, quantum electronics and machine learning applications in functional materials. He completed his Ph.D. in Materials Science at Tajik National University in 2021, after earning a Master’s degree in Physics (2019) and a Bachelor of Science in Physics (2017) from the same institution. Professionally, he has held key positions including Senior Researcher, Scientific Secretary and Senior Lecturer at the Tajik Technical University, demonstrating leadership in both research and academic settings. His research focuses on the integration of molecular dynamics, quantum chemistry, and machine learning techniques to optimize functional materials for photovoltaic and LED applications, with extensive experience in experimental synthesis and advanced material characterization. Prof. Dr. Dilshod Nematov has participated in numerous international research projects and scientific internships in Japan, Portugal, Spain, Germany, Ukraine and Kazakhstan, fostering a robust global scientific network. His research skills encompass experimental physics, computational modeling, quantum electronics and data-driven material analysis, contributing to 20 Scopus-indexed publications with 162 citations and an h-index of 8. He has been recognized with several prestigious honors, including the Best Young Scientist of the CIS Countries Award (2023) and the Mayor of Dushanbe Prize in Natural and Technical Sciences (2023). With his strong academic record, international collaborations and leadership capabilities, Prof. Prof. Dr. Dilshod Nematov is well-positioned to advance high-impact research, mentor emerging scientists and drive innovative developments in machine learning and quantum materials, making him highly deserving of global recognition and awards.

Profile: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications

Nematov, D. D., Kholmurodov, K. T., Husenzoda, M. A., Lyubchyk, A., … (2022). Molecular adsorption of H2O on TiO2 and TiO2: Y surfaces. Journal of Human, Earth, and Future, 3(2), 213–222.

Davlatshoevich, N. D., Ashur, K. M., Saidali, B. A., KholmirzoTagoykulovich, K., … (2022). Investigation of structural and optoelectronic properties of N-doped hexagonal phases of TiO2 (TiO2-xNx) nanoparticles with DFT realization: Optimization of the band gap and … Biointerface Research in Applied Chemistry, 12(3), 3836–3848.

Nematov, D. D. (2021). Investigation optical properties of the orthorhombic system CsSnBr3-xIx: Application for solar cells and optoelectronic devices. Journal of Human, Earth, and Future, 2(4), 404–411.

Nematov, D. (2024). Analysis of the optical properties and electronic structure of semiconductors of the Cu2NiXS4 (X = Si, Ge, Sn) family as new promising materials for optoelectronic devices. Journal of Optics and Photonics Research, 91–97.

Nematov, D. D., Burhonzoda, A. S., Khusenov, M. A., Kholmurodov, K. T., … (2019). The quantum-chemistry calculations of electronic structure of boron nitride nanocrystals with density functional theory realization. Egyptian Journal of Chemistry, 62, 21–27.

Amin Nazari | Internet of Things | Best Researcher Award

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Mr. Amin Nazari | Internet of Things | Best Researcher Award

Ph.D. Candidate, Bu-Ali Sina University, Iran

Mr. Amin Nazari is a highly accomplished researcher and final-year Ph.D. candidate in Artificial Intelligence at Bu-Ali Sina University, specializing in the Internet of Things (IoT), intelligent networks, graph neural networks and recommender systems. He holds an M.Sc. in Computer Engineering from Arak University (2014) and a B.Sc. in Computer Engineering from Islamic Azad University of Hamedan (2012), with theses focused on energy-aware routing and wireless sensor networks. With over five years of academic and research experience, Mr. Amin Nazari has authored 15 peer-reviewed publications in reputed Q1/Q2 journals and conferences (Elsevier, Springer, IEEE, Wiley), achieving 238 citations, 15 Scopus-indexed documents and an h-index of 8. His professional engagements include teaching courses in data mining, software engineering, programming and database design at Bu-Ali Sina University and Technical and Vocational University. His research interests span IoT and SDN-based intelligent networks, multimodal deep learning for financial forecasting and natural language processing for information retrieval, with practical projects such as decentralized orchestration systems, cryptocurrency forecasting models and AI-driven recommender platforms in collaboration with industry partners. He possesses strong technical skills in Python, MATLAB, Java, C++ and R, with expertise in advanced AI/ML frameworks including PyTorch, TensorFlow and Scikit-learn. Mr. Amin Nazari has received multiple recognitions, notably Top Researcher of Hamadan Province (2023, 2024) and Top Student of Bu-Ali Sina University (2023, 2024), alongside professional certifications from Coursera and Stanford. With a proven record of impactful publications, academic leadership and industry collaboration, he is strongly positioned to make significant future contributions to AI and IoT research at both national and international levels.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Javanmardi, S., Shojafar, M., Mohammadi, R., Nazari, A., Persico, V., & … (2021). FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks. Journal of Information Security and Applications, 60, 102853.

Samadi, R., Nazari, A., & Seitz, J. (2023). Intelligent energy-aware routing protocol in mobile IoT networks based on SDN. IEEE Transactions on Green Communications and Networking, 7(4), 2093–2103.

Khaledian, N., Nazari, A., Khamforoosh, K., Abualigah, L., & Javaheri, D. (2023). TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Systems with Applications, 228, 120487.

Mohammadi, R., Nazari, A., Nassiri, M., & Conti, M. (2021). An SDN-based framework for QoS routing in internet of underwater things. Telecommunication Systems, 78(2), 253–266.

Akraminejad, R., Khaledian, N., Nazari, A., & Voelp, M. (2024). A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC). Computing, 106(6), 1777–1793.

 

Charles Rino | Data Science | Innovative Research Award

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Dr. Charles Rino | Data Science | Innovative Research Award

Senior Research Engineer, Institute for Scientific Research, Boston College, United States

Dr. Charles Rino is a highly accomplished scientist with expertise in electromagnetic theory, communications, information science and advanced signal processing, whose career spans academia, defense research and technology innovation. He received his B.S. (1965) and M.S. (1966) degrees in Electrical Engineering from the University of California, Berkeley, followed by a Ph.D. in Information and Computer Science from the University of California, San Diego in 1970 under Prof. Carl W. Helstrom. His professional experience includes over a decade at SRI International, where he played a key role in the Chatanika Auroral-Zone Radar Project, satellite beacon programs and communication studies in disturbed environments; Mission Research Corporation, where he directed radar scattering projects and Vista Research, Inc., where as Vice President of Research he led DARPA, ONR and ARO-funded projects on adaptive signal processing, Bayesian detection, radar surveillance and technology commercialization. His research interests focus on ionospheric physics, wave propagation, electromagnetic scattering and remote sensing, while his research skills include multi-channel signal processing, algorithm development, radar system design and data analysis for complex environments. Dr. Charles Rino has authored more than 50 peer-reviewed publications, contributed to IEEE and AGU conferences and published the authoritative book The Theory of Scintillation with Applications in Remote Sensing (2011). His scholarly impact is reflected in 2,787 citations, 117 publications, and an h-index of 29. Honors include IEEE Fellowship (1989), Eta Kappa Nu, Tau Beta Pi, and early recognition as a NASA Trainee. Currently a Visiting Scholar at Boston College and Senior Research Scientist at Colorado State University, Dr. Charles Rino continues to advance global research through innovation, leadership and mentorship.

Profile: Scopus | ORCID

Featured Publications

  1. Rino, C. L., Brekke, A., & Baron, M. J. (1977). High-resolution auroral zone E-region neutral wind and current measurements by incoherent scatter radar. Journal of Geophysical Research: Space Physics, 82(16), 2295–2304.

  2. Fremouw, E. J., Rino, C. L., Livingston, R. C., & Cousins, M. C. (1977). A persistent subauroral scintillation enhancement observed in Alaska. Geophysical Research Letters, 4(11), 539–542.

  3. Rino, C. L., & Fremouw, E. J. (1977). The angle dependence of singly scattered wave fields. Journal of Atmospheric and Terrestrial Physics, 39(7), 859–868.

  4. Fremouw, E. J., Leadabrand, R. L., Livingston, R. C., Cousins, M. D., Rino, C. L., Fair, B. C., & Long, R. A. (1978). Early results from the DNA wideband satellite experiment: Complex-signal scintillation. Radio Science, 13(1), 167–187.

  5. Rino, C. L. (1979). A power law phase screen model for ionospheric scintillation: 1. Weak scatter. Radio Science, 14(6), 1135–1145.

 

Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

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Prof. Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

Academic Staff, Iran Polymer and Petrochemical Institute, Iran

Prof. Mohammad Hosain Beheshty is a leading polymer scientist and Professor at the Iran Polymer and Petrochemical Institute (IPPI), renowned for his expertise in sustainable polymer technologies, thermoset composites, nanocomposites and prepreg processing. He earned his B.Sc. (1987) and M.Sc. (1991) in Polymer Engineering from Amirkabir University of Technology, Tehran, and completed his Ph.D. in Polymer Composite Materials at the University of Bath, UK, in 1997. Since then, he has held numerous academic and executive positions at IPPI, including Head of Education, Deputy Director of Research Affairs, Head of Composites Department, and Director of the National Megaprojects Center under the Vice-Presidency for Science and Technology. His research interests include polymer composites, materials processing and innovation strategies for sustainable applications, supported by advanced skills in composite characterization, nondestructive testing, and resin quality control. With 74 Scopus-indexed publications, 1,576 citations and an h-index of 23, his work demonstrates both academic impact and industrial relevance. He has served on editorial boards of major polymer journals and chaired the Iran Composite Scientific Association (2016–2022). His honors include recognition as a Distinguished Academic Member of IPPI (2002) and Distinguished Research Manager of MSRT (2008). Prof. Beheshty’s career reflects outstanding research, leadership and commitment to advancing polymer science globally.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Bahramian, A. R., Kokabi, M., Famili, M. H. N., & Beheshty, M. H. (2006). Ablation and thermal degradation behaviour of a composite based on resol type phenolic resin: Process modeling and experimental. Polymer, 47(10), 3661–3673.

Beheshty, M. H., Harris, B., & Adam, T. (1999). An empirical fatigue-life model for high-performance fibre composites with and without impact damage. Composites Part A: Applied Science and Manufacturing, 30(8), 971–987.

Beheshty, M. H., & Harris, B. (1998). A constant-life model of fatigue behaviour for carbon-fibre composites: The effect of impact damage. Composites Science and Technology, 58(1), 9–18.

Akbari, R., Beheshty, M. H., & Shervin, M. (2013). Toughening of dicyandiamide-cured DGEBA-based epoxy resins by CTBN liquid rubber. Iranian Polymer Journal, 22(5), 313–324.

Hayaty, M., Honarkar, H., & Beheshty, M. H. (2013). Curing behavior of dicyandiamide/epoxy resin system using different accelerators. Iranian Polymer Journal, 22(8), 591–598.

 

Diego Zarie | Renewable Energy | Young Researcher Award

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Mr. Diego Zarie | Renewable Energy | Young Researcher Award

Junior Researcher, University of Cuenca, United States

Mr. Diego Zarie is a dedicated Electrical Engineering student at the University of Cuenca, Ecuador (2019–2025), specializing in Control and Automation with a strong academic foundation that also includes studies in Power Systems at the Universidad Autónoma de Ciudad Juárez, Mexico (2024) and early technical training at Unidad Educativa Técnico Salesiano, Cuenca (2012). Professionally, he has served as Project Manager at M.O. Construcciones (2023–2025), where he has been responsible for designing, planning and executing residential, commercial and industrial electrical projects, including the successful implementation of the ISO 50001 energy efficiency standard in residential construction. His research interests lie in renewable energy, energy efficiency, power systems and automation, with a focus on integrating sustainable practices into engineering solutions. Skilled in project management, system control, and programming across Assembly, C, C++,and ML, Mr. Diego Zarie combines technical expertise with leadership and organizational abilities. He has also demonstrated strong community engagement as an international volunteer in Teresina, Brazil, contributing to UN Sustainable Development Goal 4 on quality education. Recipient of recognition for his early contributions, including one indexed publication, he shows great promise as a young researcher. In conclusion, Mr. Diego Zarie exemplifies academic excellence, professional competence, and social responsibility, making him a deserving candidate for recognition.

Profile: ORCID

Featured Publications

Arévalo-Cordero, P., González, F., Martínez, A., Zarie, D., Rodas, A., Albornoz, E., Ochoa-Correa, D., & Benavides, D. (2025). Hybrid LSTM–FACTS control strategy for voltage and frequency stability in EV-penetrated microgrids. Technologies, 13(9), 402.

 

Libaihe Jing | Medical Technology | Best Researcher Award

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Dr. Libaihe Jing | Medical Technology | Best Researcher Award

Assistant Researcher, Lanzhou University, China

Dr. Libaihe Jing is an emerging researcher in medical technology, specializing in cancer genetics, gastric tumor biology and molecular mechanisms of disease progression. He earned his Ph.D. in Zoology from Lanzhou University in 2023, following a Master’s degree in Molecular Biology and Biochemistry from Lanzhou University of Technology in 2016 and a Bachelor’s degree in Life Sciences from Hubei University of Science and Technology in 2013. Currently, he serves as an Assistant Researcher at the Institute of Digestive System Tumors, Second Hospital of Lanzhou University, where he is also pursuing postdoctoral studies since 2024. His research interests focus on the interaction of genetic polymorphisms and environmental factors in gastric cancer, environmental tumor prevention, precision medicine and biotechnology innovation. Dr. Libaihe Jing has led multiple prestigious projects as Principal Investigator, including the National Natural Science Foundation-funded study on ITGB2 gene SNP and Helicobacter pylori interaction, international cooperation projects and Gansu Province’s Chief Scientist Project. His skills include molecular biology, bioinformatics, tumor biomarker discovery and translational medicine. With 4 Scopus-indexed publications, 10 citations and an h-index of 2, he is building a promising research profile. Dr. Jing has received recognition through leadership roles in scientific projects, highlighting his strong potential to advance cancer research and global medical technology innovation.

Profile: Scopus | ORCID

Featured Publications

  • Jing, L., Xu, J., Cai, J., Huang, S., Qiao, X., & Wan, F. (2024). Morphologic and mechanical adaptive variations in Saiga tatarica calcaneus: A model for interpreting the bone functional adaptation of wild artiodactyl in captivity. Veterinary World, 17, 448–461.

  • Jing, L., He, P., Ding, D., Qu, C., Shao, B., Ma, J., & Wang, J. (2021). Osteomorphological features of the hind limb bones of Saiga antelope (Saiga tatarica). Anatomia, Histologia, Embryologia, 50, 32–42.

  • Wang, J., Jing, L., Zheng, Y., He, P., Zhang, Y., & Zhou, Y. (2021). ER-α expression in the hypothalamus–pituitary–gonad axis of the Bactrian camel (Camelus bactrianus). Journal of Camel Practice and Research, 28, 25–32.

  • Liu, Z., Gao, X., Wan, F., Ma, X., Ding, M., & Jing, L. (2025). Assessing the impact of long-term captivity on Saiga antelope calcaneus mechanical characteristics by three-dimensional finite element simulation. Research in Veterinary Science, 195, 105858.