Xingxing You | Intelligent control | Editorial Board Member

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Assist. Prof. Dr. Xingxing You | Intelligent control | Editorial Board Member

Assistant Professor | Sichuan University | China

Assist. Prof. Dr. Xingxing You is a developing researcher affiliated with Sichuan University, China, whose work spans advanced signal processing, intelligent control, and underwater imaging technologies. With 26 scientific publications, h-index 7and over 408 citations, the author demonstrates an emerging yet steadily growing influence in these fields. His research contributions include multi-level feature fusion strategies for perception-driven underwater image enhancement, advancing the reliability of visual sensing in complex aquatic environments, as well as novel critic-only self-learning optimal control methods for continuum robots operating under unknown disturbances, integrating extended state observer frameworks to elevate robustness and adaptability. These works reflect a broader expertise in machine learning–guided optimization, sensor fusion, and nonlinear dynamical systems, addressing real-world problems where conventional modeling is insufficient. Collaboration is a key dimension of his academic trajectory, with 55 co-authors across disciplines, indicating strong engagement within interdisciplinary research networks and an ability to participate effectively in multi-institutional scientific efforts. His research outcomes demonstrate relevance not only to academic communities working on robotics, automation, and digital signal processing, but also to domains such as marine engineering, environmental monitoring, and intelligent manufacturing. By focusing on interpretable enhancements, computational efficiency, and real-time control, his contributions help bridge theoretical advances and applied technological innovation. Overall, Xingxing You’s scholarly record showcases growing expertise, collaborative capacity, and a commitment to addressing technically challenging problems with practical societal implications.

Profiles: Scopus | ORCID

Featured Publications

1. Perception-driven underwater image enhancement via multi-level feature fusion. (2026). Digital Signal Processing: A Review Journal.

2. Critic-only based self learning optimal control for continuum robots with unknown disturbances via extended state observer. (2025). Nonlinear Dynamics.

Assist. Prof. Dr. Xingxing You’s work advances intelligent sensing and robust control systems, enabling more reliable robotic and imaging technologies in uncertain environments. His research contributes to global innovation by strengthening the scientific foundation for autonomous systems and enhancing their applications in marine exploration, environmental protection, and advanced robotics.

Béchir Béjaoui | Bioinformatics | Editorial Board Member

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Prof. Béchir Béjaoui | Bioinformatics | Editorial Board Member

Researcher | National Institute of Marine Sciences and Technologies | Tunisia

Prof. Béchir Béjaoui is a distinguished marine and environmental scientist affiliated with the National Institute of Marine Sciences and Technologies (INSTM) in Carthage, Tunisia. His research primarily focuses on coastal and marine ecosystem dynamics, climate change impacts, and the application of advanced modeling and machine learning techniques to assess and manage aquatic environments. Over his career, Dr. Béjaoui has authored 34 scientific publications, collectively cited more than 1,130 times across 954 documents, reflecting his strong academic influence and the global relevance of his research. His work integrates remote sensing, numerical modeling, and ecological indicators to evaluate trophic states, water quality, and biodiversity in sensitive environments, such as the Ichkeul Lake Ramsar sanctuary—a UNESCO biosphere reserve and a critical wetland ecosystem in North Africa. Dr. Béjaoui’s studies, including the development of innovative models such as the TRIX-XGBoost Trophic Model and data-driven approaches for forecasting environmental change, provide valuable insights into sustainable wetland management under anthropogenic and climatic pressures. With over 180 international collaborators, his research reflects a strong commitment to multidisciplinary and cross-institutional cooperation, enhancing the global understanding of marine system resilience. His contributions extend beyond academia to inform environmental policy, conservation planning, and adaptive management strategies, bridging the gap between scientific research and socio-environmental decision-making. Through his sustained scholarly output and leadership in marine ecosystem modeling, Dr. Béjaoui continues to play a pivotal role in advancing data-driven sustainability solutions in the Mediterranean and beyond.

Profile: Scopus

Featured Publications

1. Béjaoui, B., … (2025). TRIX-XGBoost Trophic Model for assessing the trophic status of Ichkeul Lake, a Ramsar sanctuary in Northern Tunisia. Marine Pollution Bulletin.

2. Béjaoui, B., … (2025). Remote sensing and numerical modeling to assess the drought in Ichkeul Lake, a RAMSAR wetland and UNESCO biosphere reserve, under climate change. Regional Studies in Marine Science.

3. Béjaoui, B., … (2025, Conference Paper). Machine learning techniques for forecasting the effect of climate change and anthropogenic pressures on coastal wetlands (Ichkeul Lake, Ramsar site).

Prof. Béjaoui’s work drives innovation in environmental modeling, offering scientifically grounded tools to safeguard fragile aquatic ecosystems against climate and human-induced stressors. His research vision promotes sustainable management of marine and wetland resources, contributing to global efforts toward ecological resilience, climate adaptation, and sustainable development.

Mohammad Abuamsha | FinTech | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Abuamsha | FinTech | Best Researcher Award

Associate Professor | Palestine Technical University | Palestine

Assoc. Prof. Dr. Mohammad Kamal Abuamsha, affiliated with Palestine Technical University – Kadoorie, is an emerging scholar whose research lies at the intersection of economics, financial sustainability, and the informal or shadow economy, with a particular focus on the socioeconomic dynamics of developing regions such as Palestine. With 8 peer-reviewed publications and 28 citations, his academic contributions demonstrate growing recognition in the international research community. His work explores critical themes including financial resilience, macroeconomic stability, fiscal policy, and the interaction between economic informality and sustainable development. Through rigorous quantitative and econometric analyses, Dr. Abuamsha’s studies provide empirical insights into how informal economic activities influence public finance, growth trajectories, and policy formulation in constrained or transitional economies. His recent publication, “Shadow Economy–Financial Sustainability Nexus: The Case of Palestine” (Journal of Economic Studies, 2024), represents a key contribution to understanding financial sustainability in the context of structural economic challenges. Collaborating with multidisciplinary teams across regional and international institutions, Dr. Abuamsha integrates economic theory with applied policy research, enhancing the evidence base for sustainable economic governance. His modest yet impactful publication record, coupled with a developing citation profile (h-index: 4), underscores his growing influence in the fields of development economics and financial policy. Beyond academia, his research supports informed decision-making for governments, development agencies, and financial institutions working to enhance fiscal transparency and resilience in emerging markets. Collectively, Dr. Abuamsha’s scholarly endeavors reflect a commitment to advancing data-driven, inclusive, and sustainable economic systems within and beyond the Palestinian context.

Profiles: Scopus | ORCID

Featured Publication

1. Abuamsha, M. K., & Hattab, L. M. (2023). Shadow economy–financial sustainability nexus: the case of Palestine. Journal of Economic Studies, 51(2), 375–393.
Cited by: 8

Assoc. Prof. Dr. Abuamsha’s work advances global understanding of the interplay between shadow economies and financial sustainability, offering evidence-based pathways to strengthen economic resilience in developing regions. His vision centers on empowering societies through sustainable fiscal policies that bridge the gap between informal activity and formal economic growth.

Leonidas Anthopoulos | Smart City | Best Researcher Award

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Prof. Leonidas Anthopoulos | Smart City | Best Researcher Award

Professor | University of Thessaly | Greece

Prof. Leonidas G. Anthopoulos of the University of Thessaly, Greece, is an internationally recognized scholar in the domains of Smart Cities, Digital Transformation, and Emerging Technologies such as Artificial Intelligence, the Internet of Things (IoT), and the Metaverse. With a prolific academic record of 129 publications, 27 h-index and over 2,992 citations, he demonstrates sustained research excellence and global influence in the interdisciplinary field of urban innovation, digital governance, and technology standardization. His research bridges the gap between information systems, urban management, and policy-making, providing actionable frameworks for sustainable and citizen-centric digital ecosystems. Professor Anthopoulos has played a leading role in developing standardization strategies for smart cities at national and international levels, including contributions to the ITU Metaverse Focus Group, where he co-authored the seminal work “Toward a Standardized Metaverse Definition.” His extensive collaborations with 62 co-authors reflect strong interdisciplinary engagement across academia, government, and industry, enhancing the global dialogue on responsible, ethical, and inclusive digital transformation. His scholarship encompasses critical analyses of AI governance, smart city interoperability, and data-driven urban resilience, addressing contemporary challenges such as sustainability, digital equity, and crisis management. In addition to his academic achievements, Professor Anthopoulos’ leadership in conferences such as WebAndTheCity and contributions to open-access research reinforce his commitment to democratizing knowledge and fostering innovation for public good. His work has not only shaped academic discourse but has also informed policy frameworks and strategic planning for smart and resilient cities worldwide, emphasizing technology’s social and economic impact in urban contexts.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Anthopoulos, L., Reddick, C. G., Giannakidou, I., & Mavridis, N. (2016). Why e-government projects fail? An analysis of the Healthcare.gov website. Government Information Quarterly, 33(1), 161–173.
Cited by: 606

2. Anthopoulos, L. (2017). Smart utopia VS smart reality: Learning by experience from 10 smart city cases. Cities, 63, 128–148.
Cited by: 514

3. Anthopoulos, L. G. (2015). Understanding the smart city domain: A literature review. In Transforming city governments for successful smart cities (pp. 9–21).
Cited by :497

4. Anthopoulos, L. G. (2017). Understanding smart cities: A tool for smart government or an industrial trick? Springer International Publishing, 22, 293.
Cited by: 477

5. Anthopoulos, L., Janssen, M., & Weerakkody, V. (2018). A Unified Smart City Model (USCM) for smart city conceptualization and benchmarking. In E-Planning and collaboration: Concepts, methodologies, tools.
Cited by: 381

Professor Anthopoulos’ pioneering work advances the global transition toward intelligent, ethical, and sustainable digital societies, where technology serves humanity and governance aligns with social responsibility. His vision promotes the creation of standardized, inclusive, and human-centered smart ecosystems that drive innovation, improve quality of life, and contribute to the digital future of cities worldwide.

Yiliang Jiang | Simulation | Best Researcher Award

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Dr. Yiliang Jiang | Simulation | Best Researcher Award

Researcher | Tsinghua University | China

Dr. Yiliang Jiang is a researcher affiliated with Tsinghua University, Beijing, China, recognized for his interdisciplinary contributions at the intersection of urban sustainability, transport geography, environmental policy, and public health. His research primarily explores the causal relationships between the built environment, transportation behavior, and air quality, with a focus on PM2.5 pollution and sustainable urban mobility. With 7 publications, 122 Citations, and an h-index of 5, Dr. Jiang has established a growing international presence in environmental and urban studies. His recent article, “Built environment, car ownership and PM2.5: Stronger causal estimates from a quasi-experiment” (2025, Journal of Transport Geography), exemplifies his methodological rigor in applying quasi-experimental and causal inference techniques to quantify the environmental impacts of transportation systems. Dr. Jiang’s collaborations span 35 co-authors across multiple disciplines and institutions, reflecting a strong emphasis on interdisciplinary and cross-sectoral research partnerships. His work integrates quantitative modeling, spatial analysis, and policy evaluation, aiming to inform evidence-based urban planning and low-carbon mobility transitions. Beyond academic contributions, his research provides actionable insights for policymakers and city planners, addressing urgent global challenges such as urban air pollution, climate change mitigation, and sustainable transport equity. Through a combination of analytical depth, collaborative engagement, and policy relevance, Dr. Jiang’s scholarship advances both theoretical understanding and real-world applications in sustainable urban development.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Englmair, G., Jiang, Y., Dannemand, M., Moser, C., Schranzhofer, H., Furbo, S., & … (2018). Crystallization by local cooling of supercooled sodium acetate trihydrate composites for long-term heat storage. Energy and Buildings, 180, 159–171.
Cited by: 57

2. Hu, Y., Jiang, Y., Jensen, J. O., Cleemann, L. N., & Li, Q. (2018). Catalyst evaluation for oxygen reduction reaction in concentrated phosphoric acid at elevated temperatures. Journal of Power Sources, 375, 77–81.
Cited by: 43

3. Zhang, J., Jiang, Y., Wang, Y., Zhang, S., Wu, Y., Wang, S., Nielsen, C. P., & … (2023). Increased impact of aviation on air quality and human health in China. Environmental Science & Technology, 57(48), 19575–19583.
Cited by: 15

4. Jiang, Y., Liang, X., Zhang, S., Hu, Z., Hove, A., & Wu, Y. (2023). The future air quality impact of electric vehicle promotion and coordinated charging in the Beijing-Tianjin-Hebei region. Environmental Pollution, 332, 121928.
Cited by: 12

5. Zhang, S., Jiang, Y., Zhang, S., & Choma, E. F. (2024). Health benefits of vehicle electrification through air pollution in Shanghai, China. Science of The Total Environment, 914, 169859.
Cited by: 11

Dr. Jiang’s research advances global efforts toward sustainable, low-emission urban environments by linking data-driven insights with practical policy solutions. His vision is to harness scientific evidence and interdisciplinary collaboration to design healthier, more resilient, and environmentally responsible cities that enhance quality of life and reduce ecological footprints worldwide.

Amirhossein Ghasemi Abyaneh | Machine Learning | Best Researcher Award

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Mr. Amirhossein Ghasemi Abyaneh | Machine Learning | Best Researcher Award

Researcher | Kharazmi University | Iran

Mr. Amirhossein Ghasemi Abyaneh is an emerging scholar in the field of artificial intelligence applications in sustainable supply chains, affiliated with Kharazmi University, Tehran, Iran. His academic endeavors focus on integrating advanced data analytics, optimization techniques, and machine learning frameworks to enhance decision-making, efficiency, and sustainability across complex supply chain networks. With 3 published research papers and an h-index of 1, Mr. Abyaneh has begun establishing a scholarly footprint that bridges technology-driven innovation with environmental and operational resilience. His work, including the open-access article “An Analytical Review of Artificial Intelligence Applications in Sustainable Supply Chains” (2025, Supply Chain Analytics), provides critical insights into the evolving intersection of AI and sustainability, emphasizing how digital intelligence can optimize resource utilization, reduce carbon footprints, and strengthen circular economy practices. Having received citations from international scholars, he actively contributes to the global academic dialogue on sustainable logistics, smart manufacturing, and responsible innovation. Mr. Abyaneh’s collaborative research network includes seven co-authors from diverse academic and institutional backgrounds, reflecting a strong interdisciplinary approach that combines engineering, data science, and environmental management. His studies aim to foster both theoretical advancement and practical applicability, offering valuable implications for policymakers, corporations, and researchers seeking to transition toward greener, data-driven supply chains. Beyond academic impact, his contributions align with global sustainability goals, promoting knowledge transfer, digital equity, and responsible AI adoption for societal benefit.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Sharbati, A., Movahed, A. B., Abyaneh, A. G., & Rahmanian, F. (2025). Risk assessment of healthcare systems using the FMEA method: Medication management process. Journal of Future Digital Optimization, 1(1), 71–85.
Cited by: 4

2. Abyaneh, A. G., Movahed, A. B., Abyari, A., Nodehfarahani, A., & Khakbazan, M. (2025). Evaluating the RFID technology in Costco Company: A focus on logistics and supply chain management. Applied Innovations in Industrial Management, 5(2), 34–51.
Cited by: 2

3. Movahed, A. B., Abyaneh, A. G., Khakbazan, M., & Movahed, A. B. (2025). Smart economy cybersecurity: AI-driven risk management in digital markets. In Dynamic and Safe Economy in the Age of Smart Technologies (pp. 49–72).
Cited by: 2

4. Abyaneh, A. G., Ghanbari, H., Mohammadi, E., Amirsahami, A., & Khakbazan, M. (2025). An analytical review of artificial intelligence applications in sustainable supply chains. Supply Chain Analytics, 100173.
Cited by: 1

5. Abyaneh, A. G., Khakbazan, M., & Movahed, A. B. (2026). Artificial intelligence in digital marketing: Trends, challenges, and strategic opportunities. In Improving Consumer Engagement in Digital Marketing Through Cognitive AI (pp. 225–260)

Mr. Amirhossein Ghasemi Abyaneh envisions a future where artificial intelligence empowers sustainable industrial transformation, enabling supply chains to become more adaptive, transparent, and environmentally responsible. His research advances the integration of smart analytics and sustainability principles, fostering innovation that supports global climate resilience and ethical technological progress.

Chao Li | Machine Learning | Best Researcher Award

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Assoc. Prof. Dr. Chao Li | Machine Learning | Best Researcher Award

Department Chair | Chengdu University of Technology | China

Assoc. Prof. Dr. Chao Li of Chengdu University of Technology is an expert in geophysical signal processing, seismic data reconstruction, and intelligent subsurface imaging, with a focus on integrating machine learning and advanced computational techniques into geoscience applications. He has authored 31 peer-reviewed publications cited 425 times, reflecting a strong research impact and an h-index of 12. His work includes the development of Generative Adversarial Networks for seismic reconstruction, non-subsampled contourlet transforms for low-amplitude structure detection, and hybrid neural architectures for source deblending, addressing critical challenges in exploration geophysics and subsurface data interpretation. Collaborating with over 50 co-authors, Dr. Li demonstrates a commitment to interdisciplinary and international research, bridging academia and industry. His contributions enhance the accuracy, efficiency, and sustainability of seismic exploration, providing tools for more reliable resource evaluation and environmental monitoring. By combining computational intelligence with applied geophysics, Dr. Li’s research promotes innovation in energy exploration, environmental stewardship, and global geoscience advancement, making significant scientific, industrial, and societal impacts.

Profile: Scopus

Featured Publications

1. Ke, C.-F., Zu, S.-H., Cao, J.-X., Jiang, X.-D., Li, C., & Liu, X.-Y. (2024). A hybrid WUDT‑NAFnet for simultaneous source data deblending. Petroleum Science, 21(3), 1649‑1659.
Cited by: 1

2. Low‑amplitude structure recognition method based on non‑subsampled contourlet transform. Petroleum Science.(2024)
Cited by: 1

3. Seismic Data Reconstruction via Least‑Squares Generative Adversarial Networks With Inverse Interpolation. IEEE Transactions on Geoscience and Remote Sensing.(2025)
Cited by: 1

Assoc. Prof. Dr. Chao Li’s pioneering work at the interface of geophysics and artificial intelligence is reshaping the future of seismic data interpretation, enabling smarter, data-driven exploration. His vision emphasizes leveraging AI-powered geoscience solutions to advance sustainable resource utilization and strengthen global resilience in energy and environmental systems.

Da-Zhen Xu | Green Technology | Best Researcher Award

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Dr. Da-Zhen Xu | Green Technology | Best Researcher Award

Senior Chemical Engineer | Nankai University | China

Dr. Dazhen Xu is a distinguished researcher at Nankai University, Tianjin, China, specializing in organic synthesis, catalysis, and radical-mediated transformations. With 47 peer-reviewed publications and over 1,231 citations, Dr. Xu has established a notable presence in the field of synthetic and organometallic chemistry. His work primarily focuses on developing innovative, sustainable, and atom-economical methodologies for the construction of complex organic molecules, particularly through metal-catalyzed and metal-free multicomponent reactions. Recent studies highlight his group’s advancements in iron- and copper-mediated transformations, including Markovnikov-selective radical hydrothiolation of alkenes, oxidative arylation and hydroxylation of indolin-2-ones, and bromocyclization of olefinic amides, which contribute significantly to green chemistry and pharmaceutical synthesis. Dr. Xu’s research integrates mechanistic insight with practical synthetic utility, leading to scalable, cost-effective protocols that minimize environmental impact. His collaborations with over 70 co-authors reflect a strong interdisciplinary approach, bridging academic research and industrial application across catalysis, materials, and medicinal chemistry. With an h-index of 23, Dr. Xu’s publications have gained international recognition for their methodological innovation and relevance to sustainable chemical processes. His contributions not only advance the frontiers of organic chemistry but also align with global goals for environmentally benign synthesis, influencing future directions in both academic research and industrial innovation.

Profiles: Scopus | ORCID

Featured Publications 

1. Wang, Y.-N., Jia, H., Yao, L., Chen, Y., Liu, H.-L., Liang, F., … Xu, D.-Z. (2025). Bifunctional iron-mediated multicomponent Markovnikov-selective radical hydrothiolation of alkenes. Organic Chemistry Frontiers, 12, 4462-4468.

2. Li, T.-Y., Xu, L.-L., Wu, D.-Q., Liu, J.-J., Yang, Y., Miao, Z., … Xu, D.-Z. (2025). Copper-Catalyzed Oxidative Arylation and Hydroxylation of Indolin-2-ones for Direct Construction of Tetrasubstituted Carbon Centers. Journal of Organic Chemistry, 90(2), 960-970.
Cited by: 1

3. Xu, L.-L., Wang, S., Sun, J., Zhang, R., Tong, J., … Xu, D.-Z. (2024). Facile access to S-aryl/alkyl dithiocarbamates via a three-component reaction under metal-free conditions. Organic & Biomolecular Chemistry, 22, 7702.
Cited by: 1

4. Zhao, T.-T., Bian, Q., Zhao, Y.-W., Xu, L.-L., Xu, D.-Z., & Zhao, W.-G. (2024). Iron-Mediated Bromocyclization of Olefinic Amides for the Synthesis of Bromobenzoxazines. Synthesis, 56, 2993-3000.
Cited by: 3

Dr. Dazhen Xu’s pioneering research in sustainable catalysis and radical chemistry is transforming the way complex molecules are synthesized, promoting greener and more efficient chemical manufacturing. His vision is to integrate eco-conscious innovation with high-impact synthetic strategies, advancing both scientific knowledge and the global transition toward sustainable chemical industries.

Ushba Rasool | Generative AI | Best Researcher Award

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Dr. Ushba Rasool | Generative AI | Best Researcher Award

Research Instructor | Zhengzhou University | China

Dr. Ushba Rasool, affiliated with Zhengzhou University, China, is a rising researcher specializing in educational psychology, digital pedagogy, and artificial intelligence (AI) in education. With 11 publications, 68 citations, and an h-index of 5, her work integrates theoretical frameworks such as UTAUT (Unified Theory of Acceptance and Use of Technology) and TPACK (Technological Pedagogical Content Knowledge) to investigate teachers’ and students’ perceptions, attitudes, and adoption behaviors toward emerging educational technologies. Her recent publication in Acta Psychologica (2025), “Perceptions of Generative AI in Teaching and Learning,” highlights her innovative approach in merging psychological insights with technology acceptance models to explore the transformative potential of generative AI in learning environments. Through collaborations with 18 co-authors across international institutions, Dr. Rasool contributes to advancing global understanding of digital transformation in education, addressing key issues of AI ethics, digital literacy, and pedagogical innovation. Her research provides valuable implications for educational policy, technology integration strategies, and the enhancement of learner engagement, thus creating meaningful social and academic impact in the digital age.

Profiles: Scopus | Google Scholar

Featured Publications

1. Rasool, U., Qian, J., & Aslam, M. Z. (2023). An investigation of foreign language writing anxiety and its reasons among pre-service EFL teachers in Pakistan. Frontiers in Psychology, 13, 947867. 
Cited by: 64

2. Barzani, S. H. H. (2022). The effects of online supervisory feedback on student-supervisor communications during the COVID-19. European Journal of Educational Research, 11(3), 1569–1579. 
Cited by: 31

3. Barzani, S. H. H. (2021). Teachers and students’ perceptions towards online ESL classrooms during COVID-19: An empirical study in North Cyprus. The Journal of Asia TEFL, 18(4), 1423–1431. 
Cited by: 21

4. Rasool, U., Mahmood, R., Aslam, M. Z., Barzani, S. H. H., & Qian, J. (2023). Perceptions and preferences of senior high school students about written corrective feedback in Pakistan. SAGE Open, 13(3), 21582440231187612. 
Cited by: 17

5. Rasool, U., Aslam, M. Z., Mahmood, R., Barzani, S. H. H., & Qian, J. (2023). Pre-service EFL teachers’ perceptions of foreign language writing anxiety and some associated factors. Heliyon, 9(2), e13705. 
Cited by: 15

Dr. Ushba Rasool’s research fosters responsible and inclusive integration of generative AI in education, driving innovation in digital pedagogy and shaping global educational practices that empower both teachers and learners for a technologically adaptive future.

Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

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Dr. Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

Emeritus Researcher|Center for Research in Advanced Materials | Mexico

Dr. Daniel Glossman-Mitnik is a prominent researcher at the Centro de Investigación en Materiales Avanzados (CIMAV), Chihuahua, Mexico, recognized internationally for his extensive contributions to computational and theoretical chemistry. His work primarily employs Density Functional Theory (DFT) and Conceptual DFT (CDFT) to investigate the structural, electronic, and reactive properties of molecules and materials relevant to nanotechnology, materials science, and bioactive compounds. With a prolific record of 62 peer-reviewed publications, his research has accumulated over 817 citations, achieving an h-index of 19, which reflects the sustained impact and academic quality of his scientific output. Dr. Glossman-Mitnik’s recent studies encompass a wide spectrum of applications, including the design of triphenylamine-based sensitizers and Cu(I) complexes for dye-sensitized solar cells (DSSCs), as well as computational evaluations of marine natural products and therapeutic peptides for drug discovery. His scholarly endeavors are characterized by interdisciplinary collaboration, having co-authored with more than 120 researchers worldwide, fostering innovation through theoretical–experimental integration. Beyond his methodological expertise, his research has meaningful social and technological implications, contributing to advancements in renewable energy materials, environmentally sustainable chemical design, and computational approaches to pharmacology. By combining rigorous quantum-chemical modeling with practical applications, Dr. Glossman-Mitnik’s work exemplifies how theoretical insights can drive real-world scientific progress. His career reflects a profound commitment to advancing the global understanding of molecular behavior and material performance, positioning him as a leading figure in contemporary computational chemistry.

Profiles: Scopus | Google Scholar

Featured Publications

1. Rodríguez-Valdez, L. M., Villamisar, W., Casales, M., González-Rodríguez, J. G., & others. (2006). Computational simulations of the molecular structure and corrosion properties of amidoethyl, aminoethyl and hydroxyethyl imidazolines inhibitors. Corrosion Science, 48(12), 4053–4064.
Cited by: 248

2. Rodríguez-Valdez, L. M., Martínez-Villafañe, A., & Glossman-Mitnik, D. (2005). Computational simulation of the molecular structure and properties of heterocyclic organic compounds with possible corrosion inhibition properties. Journal of Molecular Structure: THEOCHEM, 713(1), 65–70.
Cited by: 233

3. Glossman-Mitnik, D. (2013). Computational study of the chemical reactivity properties of the Rhodamine B molecule. Procedia Computer Science, 18, 816–825.
Cited by: 131

4. Mendoza-Wilson, A. M., & Glossman-Mitnik, D. (2006). Theoretical study of the molecular properties and chemical reactivity of (+)-catechin and (−)-epicatechin related to their antioxidant ability. Journal of Molecular Structure: THEOCHEM, 761(1), 97–106.
Cited by: 130

5. Gallo, M., Favila, A., & Glossman-Mitnik, D. (2007). DFT studies of functionalized carbon nanotubes and fullerenes as nanovectors for drug delivery of antitubercular compounds. Chemical Physics Letters, 447(1), 105–109.
Cited by: 128

Dr. Daniel Glossman-Mitnik’s work advances global innovation by integrating computational chemistry with materials science and biomedicine, enabling the rational design of sustainable materials and therapeutic compounds. His research bridges theory and application, contributing to cleaner energy technologies, drug discovery, and the broader understanding of molecular behavior for societal and industrial benefit.