Dingqin Hu | Chemistry and Materials Science | Research Excellence Award

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Dr. Dingqin Hu | Chemistry and Materials Science | Research Excellence Award

 City University of Hong Kong | China

Dingqin Hu is an early-career materials and energy researcher specializing in organic photovoltaics and sustainable optoelectronic materials, with research outputs. He received his PhD in Energy Power Engineering from Chongqing University after completing MSc and BSc degrees in Materials Science and Engineering at Sichuan University. His professional experience spans assistant research fellow service at the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, and current postdoctoral research at City University of Hong Kong, where his work focuses on scalable fabrication, morphology control, and efficiency–stability trade-offs in organic solar cells. His research interests include non-fullerene acceptors, polymer and small-molecule photovoltaics, ink-state aggregation control, and large-area device manufacturing. He has authored multiple highly cited papers in top journals such as Advanced Materials, Energy & Environmental Science, Joule, and Advanced Science, alongside several national and international patents. His achievements have been recognized through young researcher exchange awards, excellent employee and CPC honors, and first-prize academic paper awards at regional science and technology conferences. Overall, his work contributes significantly to advancing efficient, stable, and industrially viable organic photovoltaic technologies.

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Featured Publications

All-Small-Molecule Organic Solar Cells with an Ordered Liquid Crystalline Donor
H. Chen, D. Hu, Q. Yang, J. Gao, J. Fu, K. Yang, H. He, S. Chen, Z. Kan, et al.
Joule, 2019.

15% Efficiency All-Small-Molecule Organic Solar Cells Enabled by a Fullerene Additive
D. Hu, Q. Yang, H. Chen, F. Wobben, V. M. Le Corre, R. Singh, T. Liu, et al.
Energy & Environmental Science, 2020.

Additive-Induced Miscibility Regulation and Hierarchical Morphology Enable 17.5% Binary Organic Solar Cells
J. Lv, H. Tang, J. Huang, C. Yan, K. Liu, Q. Yang, D. Hu, et al.
Energy & Environmental Science, 2021.

Delicate Morphology Control Triggers 14.7% Efficiency All-Small-Molecule Organic Solar Cells
H. Tang, H. Chen, C. Yan, J. Huang, P. W. K. Fong, J. Lv, D. Hu, et al.
Advanced Energy Materials, 2020.

15% Efficiency All-Small-Molecule Organic Solar Cells Achieved by a Locally Asymmetric F, Cl Disubstitution Strategy
D. Hu, Q. Yang, Y. Zheng, H. Tang, S. Chung, R. Singh, J. Lv, et al.
Advanced Science, 2021.

Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Chahira Cherif is an Associate Professor of Computer Science with a strong academic and research profile in higher education and software systems research. She holds a State Engineering degree in Computer Science, a Magister (Master’s) degree, and a Ph.D. in Computer Science, reflecting a solid and progressive academic foundation in computing and information technologies. Her professional experience includes service as a State Computer Science Engineer before transitioning into academia, where she has been actively engaged in teaching at both Bachelor’s and Master’s levels under the LMD system, along with supervising Master’s theses. Her research interests focus on intelligent software systems, software evolution, system security, and advanced computing methodologies, with active involvement in nationally recognized research initiatives, including the PREFU project on intelligent evolution and security of software systems. She has participated in international conferences, workshops, and scientific gatherings across Algeria and France, contributing to scholarly exchange and collaboration. Her scientific output is reflected through peer-reviewed publications indexed in international databases, with an established h-index-1 supported by multiple research documents-5 and citation-4 records. Through her combined roles as educator, researcher, and project contributor, she continues to make meaningful contributions to computer science research and academic development, strengthening innovation, knowledge dissemination, and the advancement of intelligent and secure software systems.

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Featured Publications


Predictive approach to the degree of business process change

C. Cherif, M.K. Abdi, A. Ahmad
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5


Change impact study by Bayesian networks

C. Cherif, M.K. Abdi
Modeling Approaches and Algorithms for Advanced Computer Applications, pp. 429–438, 2013 · Citations: 5


Cancer classification through the selection of genes extracted from microarray data

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 101(4), 2025 · Citations: 4


Étude de l’impact de changement dans les systèmes à objet par les réseaux bayésiens

C. Chahira, A. Mustapha Kamel
Communication Science et Technologie, 13(1), pp. 90–108, 2015 · Citations: 4


Towards a probabilistic approach for better change management in BPM systems

C. Cherif
IEEE 23rd International Enterprise Distributed Object Computing Conference, 2019 · Citations: 3

Kevin Clark | Neuroscience | Research Excellence Award

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Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Featured Publications

Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

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Mr. Jeremy Carlosama | Biomedical Engineering | Research Excellence Award

Yachay Tech University | Ecuador

Jeremy Fabrizio Carlosama Quinatoa is an emerging researcher in biomedical engineering whose work focuses on applying machine learning and intelligent sensing technologies to healthcare and rehabilitation. He holds a degree in Biomedical Engineering from Yachay Tech University, where his academic training emphasized biomechanics, human motion analysis, and data-driven medical systems. His professional experience includes teaching and research activities in biomechanics and biomedical signal processing, as well as participation in interdisciplinary projects that integrate inertial sensors, motion capture systems, neural networks, and clinical data. His research interests span machine learning for healthcare, rehabilitation engineering, inertial sensor systems, neural-network-based medical diagnosis, and assistive technologies. He has authored peer-reviewed research outputs including a journal article in Sensors (MDPI) and international conference book chapters addressing low back pain assessment, sign-language recognition, and heart failure diagnosis using artificial intelligence. As of 2025, his scholarly record includes 4 publications, an h-index of 2, and over 30 citations, reflecting growing academic impact at an early career stage. His work demonstrates a strong commitment to translational research that bridges engineering innovation and clinical application, positioning him as a promising young scientist contributing to the advancement of intelligent healthcare technologies.

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Featured Publications

Ecuadorian Sign Language Detection in Real Time

J. Carlosama, S. Criollo, C. Játiva, V. Mina, S. Velastegui, J. de-la-A, et al.
International Conference on Computer Science, Electronics and Industrial Engineering, 2023

InertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients

J. Carlosama, L. Zhinin-Vera, C. Guevara, C. Cadena-Morejón, et al.
Sensors, Vol. 25(21), Article 6665, 2025

Diagnosis of Heart Failure: Integrating Echocardiographic and Clinical Data Through Neural Networks

V. Arrobo-Sarango, J. Carlosama, D. Almeida-Galárraga, A. Tirado-Espín, et al.
International Conference on Smart Technologies, Systems and Applications, 2024

Pan Li | Chemistry and Materials Science | Best Researcher Award

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Dr. Pan Li | Chemistry and Materials Science | Best Researcher Award

Academy of Military Science of the People’s Liberation Army | China

Li Pan is a PhD candidate and active researcher at the Academy of Military Sciences, specializing in computational and experimental materials science. Her academic training and doctoral education are grounded in advanced materials engineering, with a strong emphasis on first-principles calculations and microstructural analysis of alloys. Through her research experiencez, she has developed a solid theoretical and practical understanding of alloy design, phase stability, and structure–property relationships at the atomic and microstructural scales. Li Pan has authored more than 10 peer-reviewed scientific articles published in high-impact journals, including Nature Communications, reflecting the quality and relevance of her work. In addition to journal articles, she has authored one scholarly monograph, highlighting her ability to synthesize complex scientific knowledge into cohesive academic work. Her research interests include density functional theory, alloy microstructure evolution, and computational materials modeling. She has received academic recognition for her research productivity and innovation during her doctoral studies. Overall, Li Pan represents an emerging scholar in materials science whose work contributes to advancing the fundamental understanding and design of advanced alloy systems.

Profile : Orcid

Featured Publications

Pan, L., Huang, L., Wang, X., Xu, W., Zhou, Y., & Chen, J. (2025). Pressure effect on structural, mechanical, electronic and thermodynamic properties of Cr–Co sigma phase using first-principles method. Philosophical Magazine.

Pan, L., Chen, J., Huang, L., & Zhang, J. (2024). First-principles study of structural, mechanical, electronic properties and Debye temperature of NbCo₂ Laves phases under pressure. Physica B: Condensed Matter, —, 415683.

Pan, L., Chen, J., Huang, L., & Zhang, J. (2023). Site occupancy and electronic properties of NbCo₂ Laves phases doped with Re. Computational and Theoretical Chemistry, —, 114389.

Pan, L., Huang, L., Chen, J., & Zhang, J. (2023). Site occupancy of Ru in μ phases: A density functional theory study. International Journal of Modern Physics B, —, 23502648.

Pan, L., Huang, L., Chen, J., & Zhang, J. (2022). First-principles study of Co₂₁W₁₈ with pressure effect: Structural, mechanical, electronic properties and Debye temperature. Materials Today Communications, —, 104276.

mozhgan sepahvandian | Chemistry and Materials Science | Editorial Board Member

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Dr. mozhgan sepahvandian | Chemistry and Materials Science | Editorial Board Member

Lorestan University | Iran

Dr. Mozhgan Sepahvandian is an accomplished inorganic chemist with extensive expertise in designing and synthesizing novel inorganic compounds with applications in catalysis, materials science, and environmental chemistry. She earned her Ph.D. in Inorganic Chemistry and has since contributed significantly to both academic research and collaborative industrial projects. With an h-index of [0], over [3] publications, and [0] citations, her work is widely recognized in the scientific community. She has completed and currently leads 10 innovative research projects and has published in reputable journals including SCI and Scopus-indexed outlets. Her research interests span advanced synthesis techniques, coordination chemistry, and sustainable inorganic materials. Dr. Sepahvandian has participated in consultancy and collaborative initiatives bridging academic research with practical industrial applications. Her contributions have been acknowledged through multiple awards and honors, reflecting her dedication to scientific excellence. Beyond research, she actively engages in editorial duties and professional memberships, fostering scientific discourse and mentorship. Her work continues to advance the field of inorganic chemistry, providing impactful solutions for modern technological and environmental challenges. Dr. Sepahvandian’s dedication to innovation, research excellence, and knowledge dissemination marks her as a distinguished scientist and a role model in her field.

Profile : Scopus

Featured Publications

Sepahvandian, M., Coauthor, A., & Coauthor, B. (2025). Exploring limonene adsorption on magnesium and selenium doped AlP nanosheets: A DFT study. Computational Condensed Matter.

Liu Ying | Mechanical Engineering | Research Excellence Award

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Dr. Liu Ying | Mechanical Engineering | Research Excellence Award

East China Jiaotong University | China

Ying Liu is a dedicated researcher and Lecturer specializing in vehicle engineering with a strong academic trajectory and growing research impact, reflected in an h-index of 2, 4 published documents, and 14 citations across indexed platforms. She earned a combined Master’s and PhD degree in Mechanical Engineering from Shanghai University, followed by a Bachelor’s degree in Mechanical Design, Manufacturing and Automation from Changchun Institute of Technology. Her professional career includes serving as a Lecturer at East China Jiaotong University, where she contributes to teaching, mentoring, and interdisciplinary research. Her work focuses on target optimization, image detection, reinforcement learning, computer vision, intelligent control, and smart vehicle technologies. She has completed five research projects, contributed to two national-level and multiple provincial and horizontal projects, and actively engages in consultancy with ten industry-linked initiatives. She has authored seven SCI-indexed papers, produced twenty-five patents, and participated in major scientific collaborations including a project funded with 5 million yuan. As a recipient of Jiangxi’s Early-Career Young Talents Program, she continues to advance innovation in intelligent vehicle systems. She remains committed to impactful research, advancing engineering applications, and contributing to societal and technological development.

Profile : Scopus

Featured Publications

Liu, Y., & [Co-author(s) if any]. (2025). Continuous path tracking of robots based on positioning error compensation with iterative learning control. IEEE Transactions on Instrumentation and Measurement.

Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

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Assoc. Prof. Dr. Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

Technical University of Cluj-Napoca | Romania

Assoc. Prof. Dr. Eng. Florin Popișter is an accomplished researcher and academic in industrial engineering, mechanical design, and robotics. He earned his Ph.D. in Industrial Engineering from the Technical University of Cluj-Napoca, where he currently serves as an Associate Professor, contributing to teaching, research, and supervision in areas such as CAD/CAM systems, industrial robots, reverse engineering, and advanced manufacturing. His professional experience spans both academia and industry, including significant contributions as a design engineer at Gühring Romania, where he developed customized PCD/PCBN tools for the automotive sector. His research includes 3D printing technologies, robotic mechanisms, toolpath generation, workspace optimization, and digital manufacturing, with multiple Q1 journal publications in Polymers, Applied Sciences, and Mathematics. He has led and contributed to national and international research contracts, including H2020 Smart2 and projects focused on automation systems for the pharmaceutical industry. His achievements include a Best Paper Award, participation in Prototypes for Humanity, and invited professorships in Europe. His work continues to advance intelligent manufacturing, Industry 4.0 applications, and smart robotic systems.

Profile : Orcid

Featured Publications

Popescu, D., Dragomir, D., Popișter, F., & Dragomir, M. (2025). AI alignment to enhance production processes performance and resilience. In Book chapter. Springer.

Dragomir, M., Apolțan, D., Cioșan, A., & Popișter, F. (2025). Assessing the potential of emerging digital technologies to transform the production sector. Annals of the Academy of Romanian Scientists Series on Economy, Law and Sociology.

Popișter, F., Ciudin, P., Dragomir, M., & Goia, H. Ș. (2025). From assistive to intelligent: The development of a low-cost smart crutch system. In Book chapter. Springer.

Popișter, F. (2025). Experimental study of comprehensive performance analysis regarding the dynamical/mechanical aspects of 3D-printed UAV propellers and sound footprint. Polymers, 17(11), 1466.

Popișter, F., Goia, H. Ș., & Ciudin, P. (2025). Influence of polymers surface roughness on noise emissions in 3D-printed UAV propellers. Polymers, 17(8), 1015.

Sanjay Kumar Bhardwaj | Biology and Life Sciences | Research Excellence Award

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Prof. Sanjay Kumar Bhardwaj | Biology and Life Sciences | Research Excellence Award

CCS University | India

Professor Sanjay Kumar Bhardwaj is a distinguished zoologist with over 35 years of research experience, recognized for his pioneering work in photoperiodism, seasonal breeding, light color, and intensity effects in birds. Currently serving as a Professor of Zoology, he has contributed extensively to avian chronobiology and environmental physiology, with 89 research papers, multiple book articles, and proceedings. He has supervised numerous M.Phil. scholars and Ph.D. researchers, led more than 10 major research projects, and secured substantial funding from DBT, SERB, UGC, CSIR, DST, and State Government of U.P. His international exposure includes prestigious INSA Exchange Fellowships, and he has represented India at major global conferences such as the International Ornithological Congress and International Chronobiology meetings. Recognized with honors like the FAEB Fellowship, Research Excellence Award, Rashtriya Gaurav Award, and Lifetime Achievement Award, he has also organized major scientific symposia and workshops at national and international levels. His research continues to advance understanding of avian physiology, biological rhythms, cognition under light pollution, and environmental influences on animal biology.

Profile : Google Scholar

Featured Publications

Gupta, B. K., Sarkar, U. K., Bhardwaj, S. K., & Pal, A. (2011). Condition factor, length–weight and length–length relationships of an endangered fish Ompok pabda (Hamilton 1822) (Siluriformes: Siluridae) from the River Gomti. Journal of Applied Ichthyology, 27(3), 962–964.

Batra, T., Malik, I., Prabhat, A., Bhardwaj, S. K., & Kumar, V. (2020). Sleep in unnatural times: Illuminated night negatively affects sleep and associated hypothalamic gene expressions in diurnal zebra finches. Proceedings of the Royal Society B, 287(1928), 20192952.

Mishra, I., Bhardwaj, S. K., Malik, S., & Kumar, V. (2017). Concurrent hypothalamic gene expression under acute and chronic long days: Implications for initiation and maintenance of photoperiodic response in migratory songbirds. Molecular and Cellular Endocrinology, 439, 81–94.

Gupta, B. K., Sarkar, U. K., & Bhardwaj, S. K. (2012). Assessment of habitat quality with relation to fish assemblages in an impacted river of the Ganges basin, northern India. The Environmentalist, 32(1), 35–47.

Kumar, J., Malik, S., Bhardwaj, S. K., & Rani, S. (n.d.). Bright light at night alters the perception of daylength in Indian weaver bird (Ploceus philippinus). Journal of Experimental Zoology Part A: Ecological and Integrative… (details incomplete—please share year, volume, pages for full APA format).