Yaqin wu | Natural Language Processing | Best Researcher Award

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Ms. Yaqin Wu | Natural Language Processing | Best Researcher Award

Lecturer | Shanxi Agricultural University | China

Ms. Yaqin Wu is a dedicated researcher with specialized expertise in acoustic signal analysis, deep learning, and multimodal information fusion. Yaqin is adept in Python, MATLAB, MySQL, and Linux systems. Their academic and project experience spans both voice signal processing and intelligent animal behavior monitoring. Yaqin has led and participated in several impactful projects, including the development of an automatic pathological voice disorder detection system (2022–2023), a MATLAB-based ideological education initiative, and a master’s thesis on pathological voice restoration algorithms, which involved advanced techniques like multi-tone signal processing and speech synthesis. They contributed to AVS audio codec development and handled multiple modules including G.729 codec optimization. Notably, Yaqin is involved in pioneering multimodal deep learning projects for health and behavior monitoring in livestock, combining audio and video data to detect issues like coughing and feeding irregularities. Their work has also extended to calf diarrhea behavior detection using asynchronous multimodal fusion. Recognized for academic excellence and leadership, Yaqin has received multiple honors, including the “Outstanding Achievement Award” for their master’s thesis, first prizes in science and mathematics competitions, and numerous scholarships and commendations across institutions. To date, Yaqin Wu has published 9 documents, received 80 citations, and holds an h-index of 3, reflecting a growing impact in the fields of signal processing and intelligent monitoring systems.

Profile: Scopus

Featured Publication

1. GBNF-VAE: A pathological voice enhancement model based on gold section for bottleneck feature with variational autoencoder.
Cited by: 2

Chandra Mohan | Chemistry | Scientific Impact Award

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Assoc. Prof. Dr. Chandra Mohan | Chemistry | Scientific Impact Award

Associate Professor | K.R. Mangalam University | India

Assoc. Prof. Dr. Chandra Mohan is an accomplished Associate Professor of Chemistry, currently serving at K.R. Mangalam University, Gurugram, with over 12 years of teaching and research experience. Recognized in the Top 2% of Scientists for 2025 by Stanford University and Elsevier, Dr. Mohan specializes in chemical sensors, transition metal chemistry, bimetallic complexes, dye degradation, and electrochemical sensor fabrication. He earned his Ph.D. in Inorganic Chemistry from Guru Gobind Singh Indraprastha University, Delhi, focusing on Schiff base metal complexes for chemical sensing. He has also completed an M.Phil. from the University of Delhi and holds a Post-Doctoral Research Affiliation with Amity University, Dubai. His academic journey is further enriched with an MBA in HR and IT, and a Diploma in Computer Programming. Dr. Mohan’s global collaborations include reputed institutions in the USA, Brazil, France, Portugal, South Africa, and Finland. His research efforts have led to the successful supervision of five Ph.D. scholars (three awarded and two ongoing), along with mentorship to M.Sc. and B.Sc. students. He has published extensively in peer-reviewed journals with a strong citation footprint. His areas of interest include waste treatment, polymer nanocomposites, and the biological activity of heterocyclic compounds. With 157 publications, 1,640 citations, and an h-index of 22, Dr. Mohan continues to contribute significantly to the advancement of chemical sciences. His commitment to sustainable and interdisciplinary research has positioned him as a respected figure in the global scientific community.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kumari, C. M. N. (2021). Basics of clay minerals and their characteristic properties. Clay and Clay Minerals.
Cited by: 528

2. Banik, B. K. (2020). Green approaches in medicinal chemistry for sustainable drug design. Elsevier.
Cited by: 69

3. Kumar, M., Mohan, C., Kumar, S., Epifantsev, K., Singh, V., Dixit, S., & Singh, R. (2022). Coordination behavior of Schiff base copper complexes and structural characterization. MRS Advances, 7(31), 939–943.
Cited by: 57

4. Mohan, C., Robinson, J., Vodwal, L., & Kumari, N. (2024). Sustainable Development Goals for addressing environmental challenges. In Green chemistry approaches to environmental sustainability (pp. 357–374).
Cited by: 53

5. Robinson, J., Kumari, N., Srivastava, V. K., Taskaeva, N., & Mohan, C. (2022). Sustainable and environmental friendly energy materials. Materials Today: Proceedings, 69, 494–498.
Cited by: 35

Jun Xie | Solid mechanics | Best Researcher Award

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Dr. Jun Xie | Solid mechanics | Best Researcher Award

Doctor | Hohai University | China

Dr. Jun Xie, currently a postdoctoral researcher at the College of Mechanics and Engineering Science, Hohai University, earned his Ph.D. in Applied Mathematics from Ningxia University in 2024. His research specializes in the multi-field coupling mechanical behavior of intelligent materials, particularly focusing on the safety performance and optimization of functionally graded composite materials and structures under multi-physical environments. Dr. Xie has made significant advances in the analytical and numerical modeling of magnetoelectric (ME) effects in layered functionally graded piezoelectric/piezomagnetic (FGPEPM) spherical shells. His work derives closed-form solutions under power-law volume fraction gradients and applies the finite difference method (FDM) for arbitrary gradients. To address material property uncertainties, he introduced a novel interval random uncertainty model and developed a deep neural network (NN) framework that serves as a high-precision, computationally efficient surrogate for uncertainty quantification and optimization. This approach significantly reduces computational costs compared to traditional methods while maintaining predictive accuracy, marking a major contribution to intelligent materials research. Dr. Xie’s ongoing projects include the Fundamental Research Funds for the Central Universities (No. B250201171) and the Jiangsu Funding Program for Excellent Postdoctoral Talent (No. 2025ZB867). He has published 21 peer-reviewed SCI papers in high-impact journals such as Composite Structures, Applied Mathematical Modelling, and Thin-Walled Structures. Notably, his 2025 article in Thin-Walled Structures has received 154 citations. As of now, Dr. Xie holds an h-index of 7, reflecting the growing impact and recognition of his contributions to the field of multi-field coupling mechanics.

Profile: Scopus

Featured Publication

1.Data‑driven deep neural network approach for magnetoelectric effects in functionally graded piezoelectric/piezomagnetic spherical shells with material parameters uncertainties. (2026). Thin Walled Structures.

2. Xie, J., Gou, X., & Shi, P. (2025). Exact solutions for the linear hardening elastoplastic model in functionally graded spherical shell. Composite Structures.
Cited by 1.

Lei Tian | Embedded systems | Best Researcher Award

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Assoc. Prof. Dr. Lei Tian | Embedded systems | Best Researcher Award

Laboratory Director | Xi’an University of Posts & Telecommunications | China

Assoc. Prof. Dr. Lei Tian is currently the Laboratory Director at Xi’an University of Posts & Telecommunications and has been engaged in the field of optoelectronic interconnection systems since 2006. He earned his PhD in Circuits and Systems from Xidian University in 2015 and completed postdoctoral research at the Institute of Modern Physics, Northwest University in 2019. His research focuses on photoelectric conversion efficiency, noise reduction modeling, and embedded systems, with an emphasis on new semiconductor materials. Under his leadership, the research group has published over 60 papers, including 15 SCI-indexed, 20 EI-indexed, and 10 core Chinese journal papers. Notable journal contributions include work in the International Journal of Hydrogen Energy, Diamond & Related Materials, and Physica Status Solidi B. He has authored a monograph (ISBN: 978-7-5641-9621-9) and a Ministry of Industry and Information Technology textbook. Dr. Tian has led and completed several key projects, including a current Key R&D project from the Natural Science Foundation of Shaanxi Province, as well as multiple local and provincial initiatives in collaboration with the Xi’an Science and Technology Bureau. He has also contributed to six State Grid projects and various industry-academia engagements. With a strong interdisciplinary background, he continues to drive innovation in optoelectronic system design and modeling. According to current metrics, Lei Tian has 34 published documents, a total of 61 citations, and an h-index of 4, reflecting his growing impact in the field of electronic and photonic system research.

Profile: Scopus

Featured Publications

1. Tian, L., & He, C. (2024). Z-scheme WSTe/MoSSe van der Waals heterojunction as a hydrogen evolution photocatalyst: First-principles predictions. 
Cited by: 1

 2. Tian, L., & He, C. (2024). First-principles exploration of hydrogen evolution ability in MoS₂/hBNC/MoSSe vdW trilayer heterojunction for water splitting.
Cited by: 3

Muhammad Furqan Zia | Wireless Communication | Best Researcher Award

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Mr. Muhammad Furqan Zia | Wireless Communication | Best Researcher Award

Doctoral Candidate | University of Quebec at Trois-Rivières | Canada

Mr. Muhammad Furqan Zia is a Scientific Researcher currently pursuing a Ph.D. in Electrical Engineering at the University of Quebec at Trois-Rivières (UQTR), Canada, with a focus on Explainable AI-aided Semantic Communication at the Physical and MAC layers. Prior to this, he completed Ph.D. coursework at Koç University, Turkey, and holds an M.S. from Antalya Bilim University, Turkey, and a B.E. from DHA Suffa University, Pakistan. His research spans physical layer design for next-generation Wi-Fi, cognitive radio networks, physical layer security, and semantic communication for intelligent systems. He has worked with leading institutions and industry partners including Vestel Electronics and TÜBİTAK, contributing to both academic and industrial R&D. He has actively participated in IEEE 802.11 standardization meetings as a potential voter. His work has resulted in multiple journal articles, conference papers, and patents, particularly in the areas of secure and reliable communication systems for 6G and IoT. As of now, Mr. Zia has a total of 56 citations, an h-index of 3, and an i10-index of 2 in his works. Furqan has been awarded multiple fully funded scholarships from top global institutions, including UQTR (Canada), Koç University (Turkey), Xi’an Jiaotong University (China), and Kumoh National Institute of Technology (South Korea). His early recognition includes awards in robotics, sports, and academic competitions.

Profile: Google Scholar

1. Zia, M. F., & Hamamreh, J. M. (2020). An advanced non-orthogonal multiple access security technique for future wireless communication networks. RS Open Journal on Innovative Communication Technologies.
Cited by: 24

2. Zia, M. F., Furqan, H. M., & Hamamreh, J. M. (2021). Multi-cell, multi-user, and multi-carrier secure communication using non-orthogonal signals’ superposition with dual-transmission for IoT in 6G and beyond. RS Open Journal on Innovative Communication Technologies, 2(3).
Cited by: 21 (may be approximate as citation counts can vary slightly)

3. Zia, M. F., & Hamamreh, J. M. (2020). An advanced NOMA security technique for future wireless communication. In IEEE 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM).
Cited by: 7

4. Zia, M. F. (2024). Secrecy and resilience in next-gen Wi-Fi: Exploring a multi-user down-link non-orthogonal transmission framework. In IEEE Intermountain Engineering, Technology and Computing Conference (i-ETC).
Cited by: 3

5. Islam, N., Zia, M. F., & Syed, D. (2023). An overview of security issues in cognitive radio ad hoc networks. In Perspectives and Considerations on the Evolution of Smart Systems (pp. 213–246).
Cited by: 1

Reza Faraji | Electrical Engineering | Best Researcher Award

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Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

PhD Candidate | University of Science and Culture | Iran

Dr. Reza Faraji is a dedicated PhD candidate in Electrical and Computer Engineering at Islamic Azad University (IAU), with a collaborative affiliation with the University of Science and Culture (USC). His primary area of research is nanoelectronics, with a specialization in Quantum-dot Cellular Automata (QCA) and reversible computing. He earned his Master’s degree in QCA design from USC, where his thesis focused on designing low-power, high-performance digital circuits. Reza’s academic foundation is reinforced by research assistant roles and engagement in advanced nano-circuit projects. His ongoing research includes the design of a Multilayer Reversible ALU (RALU) using Fredkin and HN gates optimized for 6G-enabled IoT systems, and device modeling of AlN/β- and ε-Ga₂O₃ Tri-Gate MOSHEMTs using DFT and TCAD simulations for mm-Wave applications on diamond substrates. These projects aim to advance low-power and high-efficiency architectures for next-generation communication and computation systems. He actively collaborates with Dr. Abdalhossein Rezai (USC) on QCA-based circuit design and with Dr. Amir Amini (IAU, West Tehran Branch) on nanoscale device modeling. Although he has no patents or books published yet, his work shows promise for industrial applications in IoT and semiconductor sectors. Currently, Reza has 5 published documents, 18 citations and an h-index of 3, reflecting the growing impact of his research in the scientific community. His key areas of expertise include QCA, reversible logic, ALU design, nanoscale HEMTs, and energy-efficient digital architectures for 6G and future nanoelectronic systems.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Faraji-Dana, R., & Chow, Y. L. (2002). The current distribution and AC resistance of a microstrip structure. IEEE Transactions on Microwave Theory and Techniques, 38(9), 1268–1277. 
Cited by: 149

2. Mehdipour, A., Mohammadpour-Aghdam, K., & Faraji-Dana, R. (2007). Complete dispersion analysis of Vivaldi antenna for ultra wideband applications. Progress In Electromagnetics Research, 77, 85–96. 
Cited by: 134

3. Hosseininejad, S. E., Rouhi, K., Neshat, M., Faraji-Dana, R., & Abdolali, A. (2019). Reprogrammable graphene-based metasurface mirror with adaptive focal point for THz imaging. Scientific Reports, 9(1), 2868. 
Cited by: 107

4. Abbas-Azimi, M., Arazm, F., Rashed-Mohassel, J., & Faraji-Dana, R. (2007). Design and optimization of a new 1–18 GHz double ridged guide horn antenna. Journal of Electromagnetic Waves and Applications, 21(4), 501–516. 
Cited by: 76

5. Faraji-Dana, R., & Chow, Y. (1990). Edge condition of the field and AC resistance of a rectangular strip conductor. IEE Proceedings H – Microwaves, Antennas and Propagation, 137(2), 133–140. 
Cited by: 71

Choong-Ki Chung | Solid mechanics | Best Researcher Award

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Prof. Choong-Ki Chung | Solid mechanics | Best Researcher Award

Professor | Seoul National University | South Korea 

Prof. Choong-Ki Chung is a distinguished academic in the field of Geotechnical Engineering and currently serves as a Professor in the Department of Civil and Environmental Engineering at Seoul National University. He earned his Ph.D. in Geotechnical Engineering from Northwestern University in 1991, following an M.S. and B.S. in Civil Engineering from Seoul National University. His research focuses on site investigation, geo-information systems, geo-hazards, and soil deformation. With an academic career spanning over three decades, Professor Chung has held various key positions including Head of Department, Director of the Engineering Research Institute, and Associate Dean for Research Affairs at Seoul National University. He has also played leading roles in professional societies, serving as Vice President (2012–2016) and President (2019–2021, 2024) of the Korean Society of Civil Engineers, and Vice President of the Korean Geotechnical Society. His international experience includes postdoctoral and visiting professorships at Northwestern University. A prolific researcher, Professor Chung has authored 72 international journal papers, 105 domestic journal papers, and 100 international conference papers. His work has been cited 1,283 times, with a total of 112 publications contributing to an h-index of 20, reflecting his impactful contributions to the geotechnical engineering community.

1.  Kim, K. N., Lee, S. H., Kim, K. S., Chung, C. K., Kim, M. M., & Lee, H. S. (2001). Optimal pile arrangement for minimizing differential settlements in piled raft foundations. Computers and Geotechnics, 28(4), 235–253.
Cited by: 153

2. Sun, C. G., Kim, D. S., & Chung, C. K. (2005). Geologic site conditions and site coefficients for estimating earthquake ground motions in the inland areas of Korea. Engineering Geology, 81(4), 446–469.
Cited by: 133

3. Lee, S. H., & Chung, C. K. (2005). An experimental study of the interaction of vertically loaded pile groups in sand. Canadian Geotechnical Journal, 42(5), 1485–1493.
Cited by: 110

4. Hwang, J. I., Kim, C. Y., Chung, C. K., & Kim, M. M. (2006). Viscous fluid characteristics of liquefied soils and behavior of piles subjected to flow of liquefied soils. Soil Dynamics and Earthquake Engineering, 26(2–4), 313–323.
Cited by: 93

5. Finno, R. J., & Chung, C. K. (1992). Stress-strain-strength responses of compressible Chicago glacial clays. Journal of Geotechnical Engineering, 118(10), 1607–1625.
Cited by: 92