Assist. Prof. Dr. Praveen Kumar Rai | Materials Characterization Techniques | Material Scientist Award

Assist. Prof. Dr. Praveen Kumar Rai | Materials Characterization Techniques | Material Scientist Award

University of Lucknow | India

Dr. Praveen Kumar Rai is an Assistant Professor in Mechanical Engineering (Design Engineering) at University of Lucknow. He specializes in materials characterization techniques, finite element analysis, CAD modeling, and ultrasonic machining. He earned his Ph.D. in Mechanical Engineering from Motilal Nehru National Institute of Technology Allahabad, where his research focused on the design and optimization of ultrasonic machine horns. Dr. Rai has authored numerous SCI and Scopus-indexed publications, holds 10 patents, and has supervised several postgraduate and undergraduate research projects. His interdisciplinary expertise in material behavior, failure analysis, and advanced simulation techniques makes him a highly deserving candidate for the Material Scientist Award in Materials Characterization Techniques.

Professional Profile 

Scopus

Orcid

Education

Dr. Praveen Kumar Rai earned his Ph.D. in Mechanical Engineering with specialization in Design Engineering from Motilal Nehru National Institute of Technology Allahabad. He also completed his M.Tech. in Mechanical Engineering with a focus on Stress and Vibration Analysis from Maulana Azad National Institute of Technology Bhopal, and obtained his B.Tech. in Mechanical Engineering from Dr. A.P.J. Abdul Kalam Technical University. His academic training has provided him with a strong foundation in mechanical design, structural analysis, and advanced materials engineering.

Professional Experience

Dr. Rai currently serves as Assistant Professor in the Department of Mechanical Engineering at University of Lucknow. He has previously held academic positions at G H Raisoni Institute of Engineering and Technology, Bharat Institute of Engineering and Technology, and Gautam Buddha University. In addition to teaching and research, he has contributed extensively to academic administration through responsibilities related to accreditation, institutional rankings, placements, and student mentorship.

Research Interests

Dr. Rai’s research interests focus on materials characterization techniques and their integration with computational and design-based methodologies. His work encompasses finite element analysis, CAD modeling, ultrasonic machining, structural dynamics, mechanical vibrations, and strength of materials. He is particularly interested in optimizing engineering components and analyzing material behavior under complex loading conditions, with applications in advanced manufacturing and mechanical system design.

Awards and Honors

Dr. Rai has received several notable academic distinctions, including repeated success in the Graduate Aptitude Test in Engineering (GATE) and prestigious scholarships from the Ministry of Education, Government of India, to support both his postgraduate and doctoral studies. He has been invited to deliver expert lectures on research methodology and optimization techniques and serves as a reviewer for international journals published by Springer Nature. His innovative contributions are further reflected in his portfolio of granted patents and ongoing patent applications.

Conclusion

Prof. Dr. Aybike Serttaş | Computational Materials Science | Research Excellence Award

Prof. Dr. Aybike Serttaş | Computational Materials Science | Research Excellence Award

İstanbul Aydın University | Turkey

Prof. Dr. Aybike Serttaş is a highly regarded researcher in computational materials science, known for her strong contributions to theoretical modeling, numerical simulation, and data-driven analysis of material behavior. Her research focuses on understanding and predicting the mechanical, thermal, and physical properties of materials through advanced computational techniques, including finite element analysis, multiscale modeling, and numerical optimization. By integrating mathematical rigor with computational efficiency, Prof. Serttaş develops models that reveal the complex relationships between material structure, processing parameters, and macroscopic performance. Her work supports the design of reliable and high-performance materials for engineering and technological applications. A defining feature of her research is the application of computational methods to reduce experimental cost and accelerate material development, enabling accurate virtual testing and performance assessment. She actively engages in interdisciplinary collaboration, working at the interface of materials science, applied mathematics, and engineering to address complex scientific problems. In addition to her research activities, Prof. Serttaş is deeply involved in academic teaching, graduate supervision, and curriculum development, contributing to the training of students in computational modeling and scientific computing. She is also committed to academic service and scholarly communication, participating in peer review, conferences, and collaborative research initiatives. Her research philosophy emphasizes precision, reproducibility, and innovation, with a strong focus on practical applicability and theoretical soundness. Through her sustained contributions to computational materials modeling, interdisciplinary research leadership, and academic mentorship, Prof. Dr. Aybike Serttaş has established a strong professional reputation and is a highly deserving recipient of the Research Excellence Award.

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Prof. Dr. Jean Sire Armand Eyebe Fouda | Materials Science | Research Excellence Award

Prof. Dr. Jean Sire Armand Eyebe Fouda | Materials Science | Research Excellence Award

University of Yaoundé I | Cameroon

Prof. Dr. Jean Sire Armand Eyebe Fouda is a distinguished scholar whose research spans materials science, systems theory, and complex dynamical systems, with a strong interdisciplinary orientation linking physics, engineering, and data-driven analysis. He is a Full Professor at the University of Yaoundé I, where he has established a research profile characterized by methodological innovation and cross-disciplinary impact. His work focuses on nonlinear dynamics and statistical physics, with particular emphasis on nonlinear time-series analysis and its application to complex material, biological, and environmental systems. Prof. Fouda has developed advanced algorithms and analytical tools that enable deeper understanding of complex signals arising from real-world systems, including biological data, climate-related processes, and mechatronic systems with intricate dynamics. His research contributions extend to embedded and intelligent systems, where he has been involved in the design and implementation of mechatronic and control systems that integrate materials behavior with automation and robotics principles. In parallel, he has contributed to innovative approaches in secure data processing through the development of pseudo-random number generation and encryption techniques relevant to multimedia and digital systems. Prof. Fouda is actively engaged in international scientific collaboration, working closely with research groups in Europe on dynamical system analysis, climate-related modeling, and complex systems theory. He is a member of leading professional societies in computational physics, biological physics, and climate physics, reflecting the breadth of his scientific engagement. In addition to his research activities, he is committed to academic leadership, graduate supervision, and the dissemination of scientific knowledge through teaching and scholarly communication. Prof. Dr. Jean Sire Armand Eyebe Fouda’s work demonstrates intellectual depth, interdisciplinary reach, and sustained research excellence, making him a highly deserving recipient of the Research Excellence Award.

Citation Metrics (Scopus)

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456

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Prof. Shuzheng Shi | Materials Science | Research Excellence Award

Prof. Shuzheng Shi | Materials Science | Research Excellence Award

Hebei University of Architecture | China

Prof. Shuzheng Shi is a distinguished academic and researcher in materials science, with a strong interdisciplinary profile spanning micro/nano sensors, microsystems, and sustainable materials innovation. He serves as a Professor in the School of Mechanical Engineering at Hebei University of Architecture, where he is actively involved in research leadership, teaching, and postgraduate supervision. Prof. Shi’s work focuses on the design and development of advanced micro- and nanoscale sensor systems for environmental, industrial, and smart manufacturing applications, addressing critical challenges in sensitivity, reliability, and system integration. In parallel, he has made significant contributions to the high-value utilization of bulk waste resources, transforming industrial and solid wastes into functional composite materials and energy-related materials that support circular economy and sustainability goals. His research combines materials science, instrumentation engineering, and applied mechanics, enabling the translation of fundamental concepts into practical technologies with real industrial relevance. Prof. Shi has led and contributed to numerous nationally supported and industry-oriented research projects, demonstrating strong capabilities in project coordination, innovation management, and technology transfer. His inventive output includes a substantial portfolio of patented technologies that reflect his commitment to applied research and industrial deployment. In addition to his scientific achievements, Prof. Shi actively contributes to the academic community through professional society membership, interdisciplinary collaboration, and mentorship of graduate students, many of whom are engaged in advanced materials and sensor research. His work has supported collaborations with leading universities and research institutions, strengthening links between academia and industry. Through his sustained contributions to sensor technology, sustainable materials development, and applied research innovation, Prof. Shuzheng Shi has established a strong reputation in materials science and is a highly deserving recipient of the Research Excellence Award.

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Dr. Shin Young Park | Materials Science | Research Excellence Award

Dr. Shin Young Park | Materials Science | Research Excellence Award

Yonsei University College of Medicine | South Korea

Dr. Shin Young Park is an accomplished researcher whose work reflects a strong interdisciplinary integration of materials science, biomedical engineering, and clinical innovation, making her a compelling recipient of the Research Excellence Award. As a Clinical Assistant Professor in Emergency Medicine at Yonsei University College of Medicine, she brings a unique materials-oriented perspective to healthcare research, focusing on how material properties, biological interfaces, and physiological responses interact in high-stress medical environments. Her research interests encompass biomedical materials, biophysical indicators, and data-driven evaluation of material–tissue interactions relevant to trauma care, critical illness, and emergency diagnostics. Dr. Park has contributed to impactful peer-reviewed studies that explore biochemical markers, physiological indices, and system-level responses, offering insights that support the development of advanced diagnostic tools and clinically relevant material-based solutions. Her work demonstrates a strong emphasis on translational research, where scientific rigor is paired with practical application to improve patient outcomes and healthcare efficiency. In addition to her research achievements, she is actively engaged in medical education and mentorship, contributing to the training of future clinicians and researchers through teaching, supervision, and collaborative scholarship. Dr. Park’s interdisciplinary approach allows her to bridge materials science concepts with clinical data analysis, fostering innovation at the interface of science and medicine. Her dedication to research excellence, methodological precision, and interdisciplinary collaboration positions her as a valuable contributor to modern materials science applications in healthcare. Through sustained academic commitment and impactful scientific inquiry, Dr. Shin Young Park exemplifies the qualities recognized by the Research Excellence Award.

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Prof. Jin-Song von Storch | Computational Materials Science | Research Excellence Award

Prof. Jin-Song von Storch | Computational Materials Science | Research Excellence Award

Max-Planck Institute for Meteorology | Germany

Prof. Jin-Song von Storch is a distinguished scientist in computational materials science whose interdisciplinary expertise bridges advanced numerical modeling, statistical physics, and large-scale system simulation. She is widely recognized for her leadership in developing high-resolution computational frameworks that reveal complex interactions between structure, dynamics, and emergent properties in material and physical systems. As a senior researcher and academic leader, she has made foundational contributions to multiscale modeling, stochastic processes, and data-driven approaches that enhance predictive accuracy in complex systems. Her work is characterized by methodological rigor, conceptual clarity, and a strong emphasis on translating theoretical insight into robust computational tools. Prof. von Storch has played a central role in collaborative international research initiatives, where her ability to integrate mathematics, physics, and computation has driven innovation across disciplinary boundaries. In addition to her research excellence, she is deeply committed to academic mentorship, guiding doctoral and postdoctoral researchers while fostering inclusive and intellectually vibrant research environments. She has held key editorial, advisory, and governance roles within major scientific programs, reflecting the high level of trust placed in her expertise and judgment by the global research community. Her scholarly output includes influential journal articles, book contributions, and invited works that continue to shape contemporary thinking in computational and theoretical science. Through sustained scientific leadership, original research vision, and dedication to knowledge advancement, Prof. Jin-Song von Storch exemplifies the qualities recognized by the Research Excellence Award and stands as a leading figure in computational science and interdisciplinary innovation.

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Featured Publications


Principles of Equilibrium Fluctuations

– Physica A: Statistical Mechanics and Its Applications, 2026 (Open Access)

Randomness and Integral Forcing

– Tellus Series A: Dynamic Meteorology and Oceanography, 2024 (Open Access)

Assoc. Prof. Dr. Syed Waqar Hasan | Materials Characterization Techniques | Material Characterization Award

Assoc. Prof. Dr. Syed Waqar Hasan | Materials Characterization Techniques | Material Characterization Award

National University of Science and Technology | Pakistan

Assoc. Prof. Dr. Syed Waqar Hasan is an accomplished academic and researcher specializing in materials characterization techniques with a strong interdisciplinary foundation spanning materials science, mechanical engineering, and energy-related materials. He is affiliated with the National University of Sciences and Technology (NUST), Pakistan, where he plays an active role in teaching undergraduate and postgraduate courses, supervising advanced research students, and contributing to outcome-based education and academic leadership. Dr. Hasan’s research expertise centers on the synthesis, fabrication, and characterization of functional materials for energy generation, storage, and conversion applications, with particular emphasis on advanced characterization methods such as X-ray diffraction, field-emission scanning electron microscopy, energy-dispersive spectroscopy, X-ray photoelectron spectroscopy, atomic force microscopy, Raman spectroscopy, infrared imaging, thermal and mechanical analysis, and electrochemical testing. His work integrates experimental materials synthesis techniques including electrospinning, wet spinning, phase inversion, plasma sintering, and chemical vapor deposition with device fabrication approaches to develop high-performance energy materials and systems. Dr. Hasan has an extensive record of scholarly publications in well-regarded international journals, reflecting the impact and quality of his contributions to materials characterization, nanostructured materials, electrochemical devices, and thermally driven energy systems. He has also been actively involved in supervising multidisciplinary research projects, fostering industry–academia collaboration, and securing competitive research funding. Through invited lectures, collaborative research activities, and mentorship, he has demonstrated a sustained commitment to advancing materials characterization knowledge and nurturing the next generation of researchers. In recognition of his scientific contributions, technical expertise, and academic leadership in the field of materials characterization, Assoc. Prof. Dr. Syed Waqar Hasan is a deserving recipient of the Material Characterization Award.

Citation Metrics (Google Scholar)

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669

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Featured Publications

Mr. Sumit Hassan Eshan | Materials Science | Research Excellence Award

Mr. Sumit Hassan Eshan | Materials Science | Research Excellence Award

Contessa Solutions and Consultants Ltd | Bangladesh

Mr. Sumit Hassan Eshan is a dynamic early-career researcher whose multidisciplinary work spans materials science, smart antennas, photonics, wireless power transfer, and next-generation communication technologies. Alongside his role as a Lead Technical Engineer in Microsoft and Cyber Security at Contessa Solutions and Consultants Ltd., he has built a strong scientific profile through consistent research productivity, publishing in reputable international journals and IEEE conferences, including work that has been featured on the front cover of a high-ranking journal. His portfolio comprises innovative research on graphene-based antennas, terahertz devices for 6G applications, nanomaterial-enhanced patch antennas for biomedical diagnostics, and wireless power transfer systems, reflecting his ability to merge materials science with applied electromagnetics. He has contributed to the academic community as a peer reviewer for multiple international journals, demonstrating his growing recognition as a knowledgeable evaluator in electrical, electronic, and materials-related fields. Mr. Eshan’s expertise includes advanced modeling, antenna simulation using CST Studio Suite, electronic system design, nano-enhanced device development, and multidisciplinary engineering problem-solving. His previous research projects explore cutting-edge topics such as terahertz aeronautical antennas, multilayer carbon-nanotube sensors, perovskite-based solar cell transport layers, and biomedical detection systems. In addition to his academic achievements, he has completed diverse industrial and R&D roles, contributing to cloud solutions, cybersecurity infrastructures, antenna development, robotics projects, and technical team leadership. His strong combination of research excellence, technological innovation, and cross-domain engineering capability highlights his potential to advance impactful material-based, communication-driven, and biomedical sensing technologies. Mr. Sumit Hassan Eshan’s achievements, versatility, and dedication position him as a highly deserving nominee for the Research Excellence Award.

Citation Metrics (Scopus)

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Featured Publications


Enhanced Wireless Power Transfer System Using Integrated RF Amplification
– Results in Engineering, 2025

TI Anowar, RR Hasan, SH Eshan, M Foysal


Skin Tumor, Lipoma and Cyst Detection by Graphene Based On-Body Patch Antenna in L Band
– 2025 4th International Conference on Robotics, Electrical and Signal Engineering

SH Eshan, RR Hasan, M Farukuzzaman, R Basak, MS Hossen, R Rumky, …

Tungsten disulfide based wearable antenna in terahertz band for sixth generation applications
– TELKOMNIKA Telecommunication, Computing, Electronics and Control, 2024

A Roy, MR Bhuiyan, MA Islam, P Saha, SH Eshan, RR Hasan, R Basak


Spin Coated Multi-Walled Carbon Nanotube Patch Antenna for Breast Cancer Detection (Adv. Mater. Technol. 24/2023)
– Advanced Materials Technologies, 2023

RR Hasan, J Jasmine, AM Saleque, SH Eshan, RTH Tusher, S Zabin, …


Graphene based terahertz patch antenna for breast tumor detection
– TELKOMNIKA Telecommunication, Computing, Electronics and Control, 2024

L Moni, MSR Zishan, SH Eshan, RR Hasan

Dr. Yong Li | Materials Science | Research Excellence Award

Dr. Yong Li | Materials Science | Research Excellence Award

Shaanxi Normal University | China

Dr. Yong Li is an accomplished materials scientist whose rapidly growing research profile has positioned him as a leading contributor to next-generation photovoltaic technologies. With a strong academic foundation and a deep specialization in metal halide perovskite solar cells, his work spans defect passivation, interface engineering, crystallization control, and long-term device stability, enabling significant advancements in highly efficient and durable solar energy systems. Dr. Li has authored 52 scientific documents, demonstrating impressive productivity and a commitment to cutting-edge inquiry, and his research impact is reflected in 2,851 citations accumulated across 2,412 citing documents, supported further by a robust h-index of 29, highlighting both the depth and consistency of his scientific influence. His contributions focus on understanding the intricate interplay between precursor chemistry, molecular interactions, and interfacial processes, leading to innovative strategies for suppressing recombination, enhancing charge transport, and stabilizing perovskite layers under real-world conditions. Dr. Li’s work integrates experimental insight with advanced analytical techniques, offering design principles for scalable, low-cost solar modules and contributing to the global pursuit of sustainable and clean energy technologies. His portfolio includes impactful publications in SCI-indexed journals, collaborative initiatives with leading research groups, and involvement in strategically important research projects that address efficiency bottlenecks and operational reliability in modern solar cell architectures. Beyond fundamental research, he is committed to developing practical pathways for technology translation, bridging laboratory innovation with industrial relevance. Through his scholarly excellence, strong citation metrics, and growing international visibility, Dr. Li continues to shape the future of materials science and photovoltaic engineering, representing a new generation of researchers driving impactful solutions in renewable energy and contributing substantially to the advancement of high-performance solar materials.

Profiles: Scopus | Orcid

Featured Publications

Zheng, C., He, Y., Li, Y., Gao, A., Liu, Z., Chen, L., Wang, D., & Liu, S. (Frank). (2025). Oxidation stability of perovskite solar cells reinforced by punicalagin to resist UV damage. Advanced Functional Materials.

Li, Y., Dong, L., Cai, Y., Li, Y., Xu, D., Lei, H., Li, N., Fan, Z., Tan, J., Sun, R., Wang, B., Gong, J., Lin, Z., Guo, K., He, X., & Liu, Z.  (2025). Meticulous design of high-polarity interface material for FACsPbI₃ perovskite solar cells with efficiency of 26.47%. Angewandte Chemie International Edition, 64(26), e202504902.

Zhao, W., Lin, H., Li, Y., Wang, D., Wang, J., Liu, Z., Yuan, N., Ding, J., & Wang, Q. (2022). Symmetrical acceptor–donor–acceptor molecule as a versatile defect passivation agent toward efficient FA₀.₈₅MA₀.₁₅PbI₃ perovskite solar cells. Advanced Functional Materials, 32(19), 2112032.

Liu, B., Zhou, Q., Li, Y., Chen, Y., He, D., Ma, D., Han, X., Li, R., Yang, K., Yang, Y., Lu, S., Ren, X., Zhang, Z., Ding, L., Feng, J., Yi, J., & Che, J.  (2024). Polydentate ligand reinforced chelating to stabilize buried interface toward high-performance perovskite solar cells. Angewandte Chemie International Edition, 136(8), e202317185.

Wu, M., Wang, H., Li, Y., Chen, R., Zhou, H., Yang, S., Xu, D., Li, K., An, Z., Liu, S. (Frank)., & Liu, Z. (2023). Crystallization regulation by self-assembling liquid crystal template enables efficient and stable perovskite solar cells. Angewandte Chemie International Edition, 62(52), e202313472.

Ms. Houda Hassini | Materials Characterization Techniques | Interdisciplinary Research Award

Ms. Houda Hassini | Materials Characterization Techniques | Interdisciplinary Research Award

Telecom SudParis | France

Ms. Houda Hassini is an interdisciplinary data scientist whose research bridges deep learning, computer vision, biomedical imaging, and remote-sensing technologies, making her a powerful emerging voice at the intersection of artificial intelligence and advanced materials characterization. With a strong academic foundation spanning mathematics, computer science, and artificial-intelligence engineering, she has developed specialized expertise in multimodal imaging, physics-informed machine learning, optical flow modeling, generative adversarial networks, and high-resolution computational imaging. As a Postdoctoral Researcher at ONERA – The French Aerospace Lab, she focuses on designing advanced deep-learning pipelines for sea-ice drift estimation using multimodal satellite imagery, combining synthetic aperture radar, multispectral optical data, and physics-guided simulation strategies to achieve more accurate environmental monitoring under complex real-world conditions. Her doctoral research at Télécom SudParis introduced innovative physics-inspired generative models for biomedical imaging, particularly within Fourier Ptychographic Microscopy, where she developed end-to-end pipelines capable of significantly improving rare blood-cell classification and enhancing phase-amplitude coupled imaging for automated diagnostics. Ms. Hassini has contributed to several high-visibility scientific projects in collaboration with clinical partners and industry teams, and her work has been published in peer-reviewed journals and major conferences in optics, photonics, and computational imaging. She has expertise in statistical modeling, clustering, attention-based architectures, unsupervised learning, and large-scale data processing using Python, R, modern deep-learning frameworks, and GPU-accelerated computing environments. In addition to her research achievements, she has taught and supervised students in applied mathematics, signal processing, biomedical data science, and AI-based image analysis across leading French academic institutions. Multilingual and globally engaged, Ms. Hassini also maintains active involvement in community leadership and scientific outreach. Her innovative contributions, interdisciplinary impact, and commitment to advancing imaging intelligence technologies make her an exceptional candidate for the Interdisciplinary Research Award.

Profile: Orcid

Featured Publications

Hassini, H., Dorizzi, B., Leymarie, V., Klossa, J., & Gottesman, Y. (2025). Enhancing classification of rare white blood cells in FPM with a physics-inspired GAN. Scientific Reports, 15(1), 42310.

Hassini, H., Dorizzi, B., Thellier, M., Klossa, J., & Gottesman, Y. (2023). Investigating the joint amplitude and phase imaging of stained samples in automatic diagnosis. Sensors, 23(18), 7932.

Hassini, H., Dorizzi, B., Klossa, J., & Gottesman, Y. (2024). Optimization of FPM using phase images for malaria detection. In Proceedings of SPIE Photonics Europe (Paper 12996-10). SPIE.

Hassini, H., Bouchama, L., Sextius, M., Klossa, J., Fleury, C., Baran-Marszak, F., Delhommeau, F., Dorizzi, B., Gottesman, Y., & Leymarie, V. (2024). The TAMIS project: Hematology cytology and artificial intelligence: Revolution is in the light bulb. ISLH Proceedings. (Accepted).

Hassini, H., Bouchama, L., Sextius, M., Klossa, J., Fleury, C., Baran-Marszak, F., Delhommeau, F., Dorizzi, B., Gottesman, Y., Leymarie, V., & others. (2024). The TAMIS project: Hematology cytology and artificial intelligence: Revolution is in the light bulb. Presented at the SFH — 43rd Annual Congress, Paris, France.

Hassini, H., Niang, N., & Audigier, V. (2021). SOM-based clusterwise regression. In DSSV 2021: Data Science, Statistics & Visualization Conference, Rotterdam.