Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

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Dr. Adarsh Kumar Shukla | Computational Methods | Young Scientist Award

Dr. Bhimrao Ambedkar Government Medical College | India

Dr. Adarsh Kumar Shukla is a motivated and results-driven professional with expertise in Environmental Toxicology, Clinical Bioinformatics, NGS Data Analysis, Pathway Analysis, Computer-Aided Drug Design, Structural Biology, Metabolomics, Computational Biology, and Computational Chemistry. Currently serving as Scientist-B at the Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, he has prior experience as a Scientist and Research Associate in Paediatric Cardiac Research at Sri Sathya Sai Sanjeevani Research Foundation, as well as academic and project coordination roles in biotechnology and medicinal plant research. He has coordinated national-level academic events and completed FDPs focused on healthcare innovation. Dr. Shukla has contributed significantly to Health-, Plant-, and Food-Informatics research, presented papers at several conferences, and holds a granted Indian patent for the development of crab-apple-based jelly sheets. His research interests encompass structural bioinformatics, human genomics, and nutritional biotechnology, with strong proficiency in in-silico tools, laboratory instrumentation, and data analysis. Skilled in programming languages such as R, Biopython, and Bioperl, he combines computational and experimental approaches to address complex biomedical challenges.sics.

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Featured Publications

Shukla, A. K., & Kukshal, P. (2025). Computational simulations aided prioritization of genomic targets for congenital heart disease (CHD) against developmental toxicity. Reproductive Toxicology, 108, 108940.

Shukla, A. K., & Kumar, A. (2025). A chemoinformatics study to prioritization of anticancer orally active lead compounds of pearl millet against adhesion G protein-coupled receptor. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 334, 125960.

Jha, R. K., Shukla, A. K., Kumari, A., & Kumar, A. (2025). Virtual screening of potential orally active anti-bacterial compounds of finger millet. Vegetos, 38(3), 1237–1248.

Jain, S., Shukla, A. K., Deepika, Panwar, S., Kumari, A., Yadav, A. K., & Kumar, A. (2024). Revolutionizing disease treatment through bioengineered probiotics and glucagon‐like peptide 1 (GLP‐1) based strategies: A path towards effective cures. Food Bioengineering, 2024, 1.

Panwar, S., Pal, S., Shukla, A. K., Kumar, A., & Sharma, P. K. (2024). Identification of micronutrient deficiency related miRNA and their targets in Triticum aestivum using bioinformatics approach. Ecological Genetics and Genomics, 31, 100236.

Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

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Prof. Xiangchao Shi | Computational Methods | Best Researcher Award

Southwest Petroleum University  | China

Professor Shi Xiangchao, Assistant Dean at the School of Petroleum and Natural Gas Engineering, Southwest Petroleum University, specializes in drilling acceleration, intelligent drilling systems, and rock mechanics. His pioneering work integrates finite element analysis and rock mechanics to enhance the coupling performance of PDC bits and positive displacement motors (PDMs), improving drilling efficiency and stability in complex formations. He has contributed significantly to deep and ultra-deep shale gas drilling technologies through collaborations with CNPC, Sinopec, and international universities. His research establishes strong theoretical and computational foundations for intelligent, efficient, and safe petroleum drilling operations.

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Featured Publications

Liu, J., Xue, F., Dai, J., Yang, J., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Waveform features and automatic discrimination of deep and shallow microearthquakes in the Changning shale gas field, Southern Sichuan Basin, China. Journal of Applied Geophysics, 105850.

Dai, J., Liu, J., Yang, J., Xue, F., Wang, L., Shi, X., Dai, S., Hu, J., & Liu, C. (2025). Seismicity associated with hydraulic fracturing in Changning shale gas field, China: Constraints from source mechanisms, stress field and fluid overpressure thresholds. Journal of Rock Mechanics and Geotechnical Engineering.

Wang, Z., Shi, X., Jiao, Y., Chen, S., Wang, R., & Lv, Z. (2025). Integrated selection and design method for PDC bits and positive displacement motor. Petroleum.

Fan, C., Nie, S., Li, H., Pan, Q., Shi, X., Qin, S., Zhang, M., & Yang, Z. (2024). Geological characteristics and major factors controlling the high yield of tight oil in the Da’anzhai member of the western Gongshanmiao in the central Sichuan basin, China. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1), 67.

Wang, Z., Shi, X., Chen, S., Jiao, Y., Wang, R., & Lv, Z. (2024). Enhancement on PDC bit based on Archimedean spiral control method. Petroleum Science Bulletin.

Liang Hua | Computational Methods | Innovative Research Award

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Prof. Liang Hua | Computational Methods | Innovative Research Award

Prof. Liang Hua | Nantong University | China

Liang Hua is a Professor at Nantong University, holding a Ph.D. and serving as a doctoral supervisor and Vice President of the university. He achieved an accelerated promotion to full professor in 2016. With over 60 technical publications more than 30 indexed by SCI or EI. He is recognized for applying machine learning to industrial automation and control systems. As principal or co-investigator, he has led more than ten national and provincial-level projects, including a Key Project of the Joint Funds of the National Natural Science Foundation of China, contributions to the National Key R&D Program “Science and Technology Winter Olympics”, and the General Program of the National Natural Science Foundation. He holds over 50 granted Chinese invention patents (18 licensed or transferred) and 7 PCT patents (including 6 US patents). His leadership and scholarly excellence have earned him over 10 prestigious provincial and ministerial-level awards. He also holds leadership roles in national research committees related to transportation education and automation.

Author Profile

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Education

Liang Hua earned his Ph.D. presumably in control engineering, automation, or machine learning from a well-recognized institution in China. His doctoral research likely focused on advanced control systems for industrial applications, blending signal processing, servo systems, and machine learning methodologies. After completing his doctoral program, he rose through academic ranks at Nantong University, where he became a full professor in 2016 via an accelerated promotion track. Along the way, he deepened his expertise in intelligent control, robotics, and automation, augmented by exposure to national-level research funding and research collaboration. Participation in high-level training projects such as Jiangsu Province’s “333 High‑level Personnel Training Project” and Nantong city’s “226 High‑level Personnel Training Project” provided advanced professional development in both technical and leadership dimensions, positioning him as a recognized educator and researcher in intelligent systems and machine learning applications within industrial contexts.

Professional Experience

Professor Liang Hua has a robust academic and leadership career at Nantong University, where he serves as a doctoral supervisor and Vice President. He has led and participated in over ten national and provincial research initiatives including the National Natural Science Foundation key program and the Winter Olympics R&D program directing teams focused on industrial automation and control system innovation. Liang has supervised numerous postgraduate students, guiding them in research areas of servo control, robotics, and machine learning. In parallel, he has engaged with industry through patented technology transfer, overseeing more than 18 licensed inventions. He actively contributes to professional communities as Deputy Director of the Standardization Technical Committee of China Transportation Education Research Association and as Member of the Youth Working Committee of the Chinese Association of Automation. His dual roles in academic leadership and industry collaboration demonstrate deep experience in entrepreneurship, education management, and cross-sector research innovation.

Awards and Honors

Liang Hua’s leadership in both research and teaching has garnered over 10 provincial and ministerial awards. In 2021, he received the First Prize in the China Industry‑University‑Research Cooperation Innovation Achievement Award for the development and industrialization of industrial robot equipment based on high-performance servo control systems. The same year, he was awarded the Second Prize by the China Business Federation for precision intelligent servo control systems. Additional honors include the Special Prize of Jiangsu Education Department for innovation in electrical talent training and the First Prize in the Textile Higher Education Teaching Achievement Award. Earlier, in 2019, he earned the Technology Progress Award (Second Prize) from the China Electrical Technology Society and multiple First Prizes in textile–electrical innovation teaching. In 2018, he captured First Prize at the China International Industry Expo for a welding robot innovation, and another First Prize for energy-saving servo-driven motor systems at an industry‑university‑research collaboration award. Recognitions also include local titles such as ‘Outstanding Educator’, ‘Top Ten Outstanding Young Persons Skilled Positions’, and inclusion in Jiangsu’s “333” high‑level talent project.

Research Focus

Professor Liang Hua’s research centers on machine learning and its application to industrial automation, servo control systems, robotics, and smart machinery. He develops learning-based models to optimize performance, precision, and efficiency in high-performance servo-driven industrial robots and motion systems. His work integrates data-driven techniques, control theory, and hardware implementation resulting in over 50 Chinese invention patents and multiple PCT filings. Liang also explores interpretability and safety in AI-driven control contexts. Application domains include energy-saving industrial motors, stress‑aware robotic welding control, and servo actuation systems designed to improve reliability and productivity. His projects have practical impact: they have reached industrial deployment and technology transfer stages, typically in collaboration with enterprise partners. Through his dual focus on theoretical machine learning and practical robotics systems, Liang advances both algorithmic innovation and real-world engineering solutions.

Notable Publication

APG‑DPNet: A dual‑path network with anatomical priors for perigastric veins segmentation and varicosity quantification

  • Journal: Neurocomputing

  • Year: 2025

Fusion method of multi‑layer perceptron and multi‑innovation adaptive unscented Kalman filter for power battery state of charge estimation

  • Journal: Journal of Energy Storage

  • Year: 2025

Maneuver strategy recognition technology for enemy combat aircraft based on Bayesian deep learning

  • Journal: Journal of Shenzhen University Science and Engineering (Shenzhen Daxue Xuebao Ligong Ban)

  • Year: 2025

Stability analysis of inertial delayed neural network with delayed impulses via dynamic event‑triggered impulsive control

  • Journal: Neurocomputing

  • Year: 2025

Modal acoustic emission‑based circumferential crack feature extractions for pipeline welds with L‑shaped flexible sensor array

  • Journal: Nondestructive Testing and Evaluation

  • Year: 2025

Nonsingular Terminal Sliding Mode Control of the Yarn Winding Process Based on a Finite‑Time Extended State Observer

  • Journal: IEEE Access

  • Year: 2025

Conclusion

Liang Hua exemplifies a leader at the intersection of machine learning, automation, and engineering innovation. With robust experience managing national R&D projects and translating patented research into real-world industrial systems, he serves as both educator and executive at Nantong University. His honors span national awards in control technology development and educational innovation, underscoring his impact on talent development and technical excellence. Looking ahead, Liang’s work promises to advance machine learning–driven automation in sustainable manufacturing and smart infrastructures, further bridging academic research with industry advancement and enhancing the strategic competitiveness of Chinese engineering.

Rui Zu | Computational Methods | Best Researcher Award

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Dr Rui Zu | Computational Methods | Best Researcher Award

Research Assistant , Penn State University | United States

Dr. Rui Zu is an accomplished materials scientist and optical physicist whose research spans advanced optical simulations, nonlinear optics, ferroelectric materials, and quantum-enabled devices. With a strong academic foundation from Pennsylvania State University, Columbia University, and the University of Science and Technology Beijing, he has emerged as a prominent voice in the field of complex material systems and optoelectronic engineering.

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📚 Early Academic Pursuits

Dr. Zu began his academic journey at the University of Science and Technology, Beijing, earning his B.E. in Materials Physics in 2016. He then pursued a Master’s degree in Materials Science and Engineering at Columbia University, where he honed his skills in atomic-layer fabrication and microscopy. Building upon this, he earned his Ph.D. from Penn State University in 2023, where he developed novel methodologies and optical models to explore the physics of nonlinear optical responses in crystalline heterostructures.

🏢 Professional Endeavors

Following his doctoral studies, Dr. Zu joined 3M’s Display and Electronics Product Platform as a Research Engineer, where he leads efforts in optical design for display technologies, focusing on anti-glare and anti-sparkle solutions for self-emissive and near-eye displays. His work integrates advanced multi-scale simulation methods (FDTD, TMM, Fourier optics, ray tracing) with system-level optical prototyping, pushing the envelope in next-generation display performance.

🔬 Contributions and Research Focus

Dr. Zu’s work is distinguished by its depth and innovation in nonlinear optical simulation, ferroelectric materials engineering, and optical metrology. His flagship contribution is the development of the ♯SHAARP (Second Harmonic Analysis of Anisotropic Rotational Polarimetry) Mathematica-based package a pioneering simulation toolkit that addresses complex optical challenges including anisotropy, low symmetry, absorption, and dispersion in multilayer systems. He has also engineered sub-micrometer ferroelectric domain gratings and explored high-entropy materials, enabling ultraviolet harmonic generation, magneto-optical imaging, and strain-tunable photonic devices.

🌍 Impact and Influence

Dr. Zu’s research has led to publications in top-tier journals such as Science Advances, Nature Communications, PNAS, and Physical Review B, reflecting the high impact and interdisciplinary relevance of his work. His contributions have reshaped the understanding of optoelectronic behavior in correlated systems, and he continues to push forward the boundaries of materials design and characterization through collaborative research and open-source tools.

📊 Academic Citations

With a growing number of peer-reviewed publications many of which are co-authored with leaders in the field including L.-Q. Chen, V. Gopalan, and A. M. Lindenberg Dr. Zu’s work is frequently cited in domains ranging from computational photonics to solid-state physics, indicating his role as a rising authority in the study of nonlinear optical phenomena and ferroelectric materials.

🛠️ Research Skills

Dr. Zu possesses a formidable toolkit of research competencies, including:

  • Optical Simulation: FDTD, RCWA, TMM, ray tracing, Fourier-based wave propagation

  • Optical System Development: Nonlinear spectroscopy, ultrafast pump-probe, MOKE

  • Instrumentation: SEM, TEM, AFM, PFM, FTIR, Raman, Photoluminescence

  • Software and Programming: Mathematica (SHAARP), COMSOL, LabView

  • Advanced Materials Fabrication and Characterization: High-entropy materials, ferroelectrics

👨‍🏫 Teaching & Mentorship Experience

Dr. Zu has demonstrated a strong commitment to teaching and mentorship, having served as a Teaching Assistant for courses such as Crystal Anisotropy and Solid State Physics. He developed Mathematica-based modules that significantly enriched classroom engagement. Beyond formal coursework, he has mentored undergraduate researchers, including REU students, many of whom advanced to present at conferences or publish collaboratively. As a Lab Safety Officer, he also ensured the group’s operational continuity during the COVID-19 pandemic.

🏆 Awards and Honors

Dr. Zu’s excellence has been recognized with numerous awards, including:

  • 🎓 Alumni Association Dissertation Award, Penn State University (2023)

  • ✈️ Department Travel Award for Graduate Students, Penn State (2023)

  • 🏅 Renmin Principal Level Scholarship, USTB (2013)

  • 🌟 Merits Student Awards, USTB (2013, 2014)

🚀 Legacy and Future Contributions

As an innovator in optical and material physics, Dr. Rui Zu’s trajectory continues to rise. His work bridges fundamental science and industrial application, from quantum-inspired simulationsquantum-inspired simulations to real-world display technologies. With tools like SHAARP gaining traction in the research community and his growing influence in interdisciplinary materials science, Dr. Zu is poised to become a thought leader in photonics, materials design, and computational optics. His legacy will likely be defined by a continued push toward open scientific tools, educational outreach, and cross-sector impact.

Top Noted Publications

Thermodynamic theory of linear optical and electro-optical properties of ferroelectrics

  • Authors: Ross, A., Ali, M. S. M. M., Saha, A., Zu, R., Gopalan, V., Dabo, I., Chen, L.-Q.

  • Journal: Physical Review B

  • Year: 2025

Hidden domain boundary dynamics toward crystalline perfection

  • Authors: Mangu, A., Stoica, V. A., Zheng, H., Yang, T., Zhang, M., Wang, H. (Hugo), Zu, R., Nguyen, Q. L., Song, S., Das, S., Meisenheimer, P., Donoway, E., Chollet, M., Sun, Y., Turner, J. J., Freeland, J. W., Wen, H., Martin, L. W., Chen, L.-Q., Gopalan, V., Zhu, D., Cao, Y., Lindenberg, A. M.

  • Journal: Proceedings of the National Academy of Sciences (PNAS)

  • Year: 2025

Bulk photovoltaic effect and high mobility in the polar 2D semiconductor SnP₂Se₆

  • Authors: Sangwan, V. K., Chica, D. G., Chu, T.-C., Cheng, M., Quintero, M. A., Hao, S., Mead, C. E., Choi, H., Zu, R., Sheoran, J., He, J., Liu, Y., Qian, E., Laing, C. C., Kang, M.-A., Gopalan, V., Wolverton, C., Dravid, V. P., Lauhon, L. J., Hersam, M. C., Kanatzidis, M. G.

  • Journal: Science Advances

  • Year: 2024

Optical second harmonic generation in anisotropic multilayers with complete multireflection of linear and nonlinear waves using SHAARP.ml package

  • Authors: Zu, R., Wang, B., He, J., Weber, L., Saha, A., Chen, L.-Q., Gopalan, V.

  • Journal: NPJ Computational Materials

  • Year: 2024

Perspectives and progress on wurtzite ferroelectrics: Synthesis, characterization, theory, and device applications

  • Authors: Casamento, J., Baksa, S. M., Behrendt, D., Calderon, S., Goodling, D., Hayden, J., He, F., Jacques, L., Lee, S. H., Smith, W., Suceava, A., Tran, Q., Zheng, X., Zu, R., Beechem, T., Dabo, I., Dickey, E. C., Esteves, G., Gopalan, V., Henry, M. D., Ihlefeld, J. F., Jackson, T. N., Kalinin, S. V., Kelley, K. P., Liu, Y., Rappe, A. M., Redwing, J., Trolier-McKinstry, S., Maria, J.-P.

  • Journal: Applied Physics Letters

  • Year: 2024

Hongling Zhou | Computational Methods | Best Researcher Award

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Dr. Hongling Zhou | Computational Methods | Best Researcher Award

Chongqing University | China

Dr. Hongling Zhou is an Associate Professor at Chongqing University, specializing in Materials Processing Engineering. She earned his Ph.D. in Materials Processing Engineering from Sichuan University (SCU), China, where she excelled academically with a GPA of 3.9/4.00. Her international research exposure includes a Visiting Student position at Pennsylvania State University (PSU), USA. With her deep-rooted expertise in first-principles calculations, metal-based material design, and advanced material characterization, she continues to contribute significantly to the field of material science. Her work bridges theoretical research with practical applications, making him a prominent researcher in her field.

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Early Academic Pursuits 📚

Dr. Zhou’s academic journey began at Sichuan University, where she completed his Bachelor’s and Master’s degrees in Materials Processing Engineering, earning a solid foundation in material science with top-tier GPA scores. Her remarkable academic achievements include distinctions like National First-class Scholarships and Outstanding Graduate Student honors, further demonstrating her commitment and excellence in the field of material science. Her time as a Visiting Student at PSU allowed her to broaden her knowledge base, specifically in Materials Science and Engineering, gaining international exposure.

Professional Endeavors 🌐

Dr. Zhou’s professional career has been marked by her transition to an Associate Professor at Chongqing University in 2021. There, she leads research on first-principles calculations and the synthesis of metal-based materials using field-assisted sintering techniques. Her work focuses on designing high-performance materials for advanced technological applications. Over the years, she has worked extensively on topics related to thermodynamic properties, material preparation, and metallurgical processes, establishing herself as a key figure in materials research both in China and internationally.

Contributions and Research Focus 🔬

Dr. Zhou’s research spans several crucial areas, including:

  1. First-principles calculations for understanding the structural, thermodynamic, and elastic properties of materials. Her focus on suboxide Zr3O phases and γ-Al2O3 is fundamental in understanding material behaviors under extreme conditions.
  2. The design and preparation of metal-based materials, particularly using rapid sintering methods, addressing both processing parameters and material properties.
  3. The development of foamed glass-ceramics utilizing high-titanium blast furnace slag, demonstrating her innovative approach to material recycling and sustainability.

Her innovative work in first-principles calculations serves as a foundation for predicting and improving the mechanical performance and thermodynamic behavior of advanced materials.

Impact and Influence 🌍

Dr. Zhou’s work has had a significant impact on material science, particularly in nuclear materials, energy applications, and environmentally friendly materials. Her published research in leading journals such as Acta Materialia, Journal of Nuclear Materials, and Advanced Powder Technology has made notable contributions to the understanding of materials at both micro and macro scales. Her findings are highly cited and continue to shape the direction of materials design and characterization.

Academic Cites 📑

Dr. Zhou’s research has been widely cited across various fields of material science, making her an influential scholar in her area. Her work on the lattice dynamics of Al2O3 phases and the thermodynamic properties of Zircaloy-4 materials has been instrumental in providing insights for nuclear materials science. The diversity and range of her publications reflect the deep scientific rigor and innovative approaches she brings to her field.

Teaching Experience 👨‍🏫

In addition to her research achievements, Dr. Zhou has demonstrated a passion for teaching. As a part-time ideological and political education teacher and an outstanding teaching assistant during her early academic years, she exhibited a dedication to student success. Her work as an associate professor has allowed her to mentor and guide the next generation of material scientists, providing them with both theoretical and practical expertise in material synthesis, advanced characterization, and computational methods. Her efforts in student mentorship have resulted in tangible improvements, including a 100% student employment rate and the reduction in academic warnings.

Awards and Honors 🏆

Dr. Zhou has been recognized for her exceptional contributions through numerous prestigious awards:

  • Outstanding Graduate of Sichuan Province (2020)
  • National Scholarship for Doctoral Students (top 1‱)
  • Academic Star of Sichuan University (top 1‰)
  • China Aerospace Science and Technology Corporation (CASC) Scholarship
  • First-class Scholarship for Doctoral Candidates, SCU (2017-2018)
  • Outstanding Teaching Assistant, SCU (2016)

These accolades reflect her dedication to both academic excellence and research leadership.

Legacy and Future Contributions 🔮

Dr. Zhou’s academic and professional trajectory positions her as a leader in materials processing engineering. Her research on first-principles calculations and rapid sintering techniques is setting the stage for future advancements in metal-based materials and sustainable material solutions. Moving forward, Dr. Zhou plans to further enhance her contributions by exploring interdisciplinary research areas and international collaborations, aiming to tackle challenges in energy storage, nuclear materials, and environmental sustainability. Her legacy is one of innovation, excellence, and a commitment to advancing material science.

Publication Top Notes

The insight effect of texture components on the recrystallization behavior of Mo[sbnd]Re alloy

  • Authors: C. Liu, Congqing; J. Liao, Jingjing; J. Wu, Jun; C. Sun, Chao; B. Luan, Baifeng
    Journal: Materials Characterization, 2025

Study on damage defects of Cr coating on Zr alloy surface irradiated by high-dose Au2+: HRTEM observation and molecular dynamics simulation

  • Authors: A. Yan, An; B. Luan, Baifeng; H. Zhou, Hongling; H. Ruan, Haibo; W. Huang, Weijiu
    Journal: Journal of Alloys and Compounds, 2025

Spatial correlation behavior between hydride and low-energy twin boundaries in Zr-4

  • Authors: H. Sun, Huanzheng; B. Luan, Baifeng; C. Sun, Chao; X. Zhu, Xiaoyong; H. Zhou, Hongling
    Journal: Materials Today Communications, 2024

Microstructural characteristics of multilayers and interfaces of Cr-coated Zircaloy-4 cladding based on elemental diffusion under high-temperature steam oxidation

  • Authors: L. Chen, Lijun; H. Zhou, Hongling; B. Luan, Baifeng; X. Yang, Xiaoling; C. Liu, Congqing
    Journal: Journal of Nuclear Materials, 2024

 

 

Md. Rajib Munshi | Computational Methods | Computational Science Excellence Award

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Mr. Md. Rajib Munshi | Computational Methods | Computational Science Excellence Award

European University of Bangladesh | Bangladesh

Md. Rajib Munshi is an Assistant Professor and Acting Head of the Department of Physics at European University of Bangladesh (EUB). With a profound dedication to educational excellence and intellectual curiosity, he works towards cultivating creativity and higher-order thinking skills among students, promoting a deep understanding of physics and related fields. Through his strong academic background and impactful research, he continues to inspire and contribute to the advancement of scientific knowledge.

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Early Academic Pursuits 🎓

Md. Rajib Munshi began his academic journey at Jagannath University (JnU), Dhaka, where he earned his Bachelor of Science (B.Sc. Hon’s) and Master of Science (M.Sc.) in Physics with excellent grades. His academic foundation was further strengthened at the Bangladesh University of Engineering and Technology (BUET), where he is currently completing his M.Phil. in Physics, with a CGPA of 3.83. This demonstrates his commitment to excellence in learning and his passion for the field of computational science.

Professional Endeavors 💼

Md. Munshi’s career at European University of Bangladesh began in 2015, where he has held various positions in the Department of Physics, including Lecturer, Senior Lecturer, and currently as Assistant Professor. His teaching experience spans over 9 years, demonstrating his long-standing commitment to educating the next generation of physicists. He also serves as a Research Collaborator at the Nanotechnology Research Laboratory (NRL) at BUET, contributing his expertise to cutting-edge research in nanomaterials.

Contributions and Research Focus 🔬

Md. Munshi’s research focus lies in computational material science, with a particular emphasis on the use of Density Functional Theory (DFT) to predict the electronic, optical, mechanical, thermodynamic, and photocatalytic properties of various inorganic compounds. His research has led to significant advancements in the study of materials like In(X)O2, RaZrO3, and GaAgO2, with implications for applications in photocatalysis, optical devices, and energy storage.

Impact and Influence 🌍

Md. Munshi’s work is highly regarded in the scientific community, with numerous publications in high-impact journals such as Computational Condensed Matter, RSC Advances, and Heliyon. His research has garnered attention due to its innovative nature and potential real-world applications. Through his collaborative research, he has contributed to advancing material science, particularly in the areas of nanotechnology and photocatalysis.

Academic Citations 📚

His research contributions have made a significant impact, evidenced by the number of citations his work has received. With a consistent record of publishing in prestigious journals, Md. Munshi’s research is contributing to the global understanding of nanomaterials and their applications in various industries. His studies provide the foundation for future innovations in electronic and energy-efficient technologies.

Research Skills 🔍

Md. Munshi is well-versed in advanced computational methods such as DFT simulations, which he utilizes to explore and predict the properties of materials at the atomic and molecular level. His technical expertise in these computational techniques has made him an essential contributor to research that focuses on material design for photocatalysis and electronic applications. His ability to blend theoretical insights with practical research methods is one of his key strengths.

Teaching Experience 📖

With over 9 years of teaching experience, Md. Munshi has played an instrumental role in shaping the academic environment at European University of Bangladesh. His teaching philosophy is centered around nurturing critical thinking, problem-solving skills, and fostering intellectual curiosity in his students. He is known for creating an engaging learning environment that not only imparts knowledge but also encourages students to explore new concepts in physics and related fields.

Legacy and Future Contributions 🚀

Looking forward, Md. Rajib Munshi is determined to further expand his research into multidisciplinary areas, including the integration of machine learning with computational material science. His goal is to continue advancing the field of computational science and make lasting contributions to the development of sustainable materials for energy and environmental solutions. As a leader and mentor, he aspires to inspire future researchers to explore innovative solutions for the challenges of tomorrow.

Publications Top Notes

Structural, optical, magnetic, and enhanced antibacterial properties of hydrothermally synthesized Sm-incorporating α-MoO3 2D-layered nanoplates

  • Authors: SK Sen, MR Munshi, A Kumar, AA Mortuza, MS Manir, MA Islam, …
    Journal: RSC Advances
    Year: 2022

Structural, electronic, optical and thermodynamic properties of AlAuO2 and AlAu0.94Fe0.06O2 compounds scrutinized by density functional theory (DFT)

  • Authors: MZ Rana, MR Munshi, M Al Masud, MS Zahan
    Journal: Heliyon
    Year: 2023

Theoretical insights on geometrical, mechanical, electronic, thermodynamic and photocatalytic characteristics of RaTiO3 compound: a DFT investigation

  • Authors: MS Zahan, MR Munshi, MZ Rana, M Al Masud
    Journal: Computational Condensed Matter
    Year: 2023

Theoretical investigation of structural, electronic, optical and thermoelectric properties of GaAgO2 based on Density Functional Theory (DFT): Two approaches

  • Authors: MR Munshi, MZ Rana, SK Sen, MRA Foisal, MH Ali
    Journal: World Journal of Advanced Research and Reviews
    Year: 2022

Electronic, thermodynamic, optical and photocatalytic properties of GaAgO2 and AlAgO2 compounds scrutinized via a systemic hybrid DFT

  • Authors: MR Munshi, SK Sen, MZ Rana
    Journal: Computational Condensed Matter
    Year: 2023

First principles prediction of geometrical, electronic, mechanical, thermodynamic, optical and photocatalytic properties of RaZrO3 scrutinized by DFT investigation

  • Authors: MR Munshi, M Al Masud, M Rahman, MR Khatun, MF Mian
    Journal: Computational Condensed Matter
    Year: 2024

 

 

Hadji Chikh Ali | Computational Methods | Best Researcher Award

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Dr. Hadji Chikh Ali | Computational Methods | Best Researcher Award

University of Relizane | Algeria

Dr. Chikh Ali Hadji is a dedicated student and researcher specializing in Material Physics and Energy Physics. He is currently pursuing his doctoral studies at Ahmed Zabana Reizane, Algeria, following his strong academic foundation from Dr. Moulay Tahar Saida University. In addition to his scientific pursuits, Hadji is a sports enthusiast, an Algerian judo champion, and a certified first aider.

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Early Academic Pursuits 🎓

Hadji’s academic journey began with a Baccalaureate in Experimental Science in 2015, followed by a License in Radiation Physics (2015–2018) and a Master’s degree in Radiation Physics and Matter Science (2018–2020), both from Dr. Moulay Tahar Saida University. These studies laid the groundwork for his specialization in material science and his current focus on optoelectronic and thermoelectric properties of materials, particularly double perovskites.

Professional Endeavors 💼

Hadji is not only a researcher but also has a versatile professional background. He has served as a pharmacist salesman and is the founder of the Amal Awlad Yahyat Elbayed sports club. As a leading sports educator, Hadji specializes in swimming, and his experience as a judo coach further highlights his commitment to youth development and physical education. He also holds certification in first aid, contributing to his diverse skill set.

Contributions and Research Focus 🔬

Hadji’s research is centered around material physics and energy physics, particularly focusing on the optoelectronic and thermoelectric properties of double perovskites for use in renewable energy applications. His research aims to better understand materials like Cs2BaSrI6 and Cs2ZnPbX6, investigating their structural, electronic, and optical properties through ab-initio studies. He has contributed significantly to conferences such as the SNCV 2024 and ICMSE 2024, showcasing his work on perovskite solar cells and thermoelectrics.

Impact and Influence 🌍

Hadji’s contributions to material science and energy physics are steadily increasing his influence in these fields. His publications in reputable journals such as Materials Science and Engineering: B and Annals of West University of Timisoara-Physics have garnered attention for their exploration of novel materials like double perovskites. His ability to collaborate and present his findings at international seminars and conferences further amplifies his impact on the scientific community.

Research Skills 🧠

Hadji has a highly technical skill set, excelling in scientific computing tools such as Wien2k, Origin, Python, Matlab, and Labview. These tools enable him to conduct detailed simulations and ab-initio studies, providing insights into the electronic and optical properties of materials. His proficiency in these areas makes him a strong researcher capable of making valuable contributions to material design and renewable energy technologies.

Legacy and Future Contributions 🌟

Hadji’s scientific trajectory suggests that he will play a key role in advancing renewable energy technologies and material design in the future. His research into double perovskites and heterojunction solar cells is pushing the boundaries of optoelectronics and thermoelectrics, and his contributions will likely shape sustainable energy solutions. His ability to balance both academic and sports leadership also positions him to influence future generations in both the scientific and sporting communities.

Publications Top Notes

I-MASnBr3/CZTGS Heterojunction Solar Cell Layer Optimization Investigated Using Scaps-1D Software Exhibited Excellent Performance at 50%

    • Authors: M Ghaleb, A Arrar, AH Chikh, H Bendjilali, O Zerrouki
    • Journal: Annals of the West University of Timisoara. Physics Series
    • Year: 2024

Ab initio study of the optoelectronic and thermoelectric properties of the new double perovskite Cs2ZnPbX6 (X= Br, Cl)

    • Authors: CA Hadji, A Arrar, M Ghaleb, H Bendjilali, O Zerrouki
    • Journal: Materials Science and Engineering: B
    • Year: 2024

The structural, electronic, elastic, and optical properties of new double perovskite Cs2CdPbI6 were investigated using a DFT and SCAPS-1D simulation

    • Authors: M Ghaleb, A Arrar, HC Ali, H Bendjilali, O Zerrouki
    • Year: 2024

Hamid Shahivandi | Computational Methods | Editorial Board Member

Published on by High Energy Physics

Dr. Hamid Shahivandi | Computational Methods | Editorial Board Member

Shahed University | Iran

Hamid Shahivandi, Ph.D., is a passionate physicist specializing in computational materials science with a focus on perovskite solar cells. Based in Tehran, Iran, he has over a decade of academic experience as a researcher, lecturer, and laboratory supervisor. His innovative research combines precision and creativity, positioning him as a dedicated contributor to the fields of condensed matter physics and semiconductor technology.

Profile

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🎓 Early Academic Pursuits

Dr. Shahivandi embarked on his academic journey with a Bachelor’s in Physics from Lorestan University (2004–2008). He pursued further specialization in Solid-State Physics, completing his Master’s (2008–2011) and Ph.D. (2016–2020) at K. N. Toosi University of Technology, Tehran. His doctoral dissertation focused on the temperature-dependent performance of CH3NH3PbI3 perovskite solar cells, demonstrating his commitment to solving real-world challenges in renewable energy technologies.

💼 Professional Endeavors

Dr. Shahivandi has been an integral part of Shahed University since 2014, serving as both a Laboratory Supervisor and a Lecturer. His teaching portfolio spans foundational and advanced topics, including General Physics, Electricity and Magnetism, and Physical Properties of Materials. As a Teaching Assistant at K. N. Toosi University, he gained early exposure to educational excellence, fostering his skills in mentorship and pedagogy.

🔬 Contributions and Research Focus

Dr. Shahivandi’s research interests are deeply rooted in computational physics, with key contributions in:

  • Perovskite Solar Cells: Developing models to optimize performance and minimize degradation.
  • Carbon Nanotubes: Investigating catalytic growth mechanisms for double-walled carbon nanotubes.
  • Crystals: Studying the growth mechanisms of Calcium Fluoride and Germanium crystals.
    His theoretical and computational methodologies have led to several impactful publications in IEEE Journal of Photovoltaics and Solar Energy Materials & Solar Cells.

🌍 Impact and Influence

Dr. Shahivandi’s work on temperature effects and degradation mechanisms in perovskite solar cells has paved the way for more efficient renewable energy technologies. His insights into semiconductors and nanostructures have influenced peers and inspired collaborative research. His methodological rigor ensures that his findings resonate across academic and industrial communities.

🛠 Research Skills

Dr. Shahivandi excels in:

  • Computational Tools: Expertise in Molecular Dynamics Simulation and Density Functional Theory (DFT).
  • Analytical Techniques: Proficiency with Atomic Force Microscopy (AFM) and Vibrating-Sample Magnetometer (VSM).
  • Model Development: Skilled in mathematization and modeling of complex physical phenomena.
  • Project Management: Adept at leading and organizing multi-faceted research projects.

🏆 Awards and Honors

Dr. Shahivandi has been recognized for his scientific excellence and educational impact. His achievements include poster presentations at national nanoscience congresses and impactful research contributions published in leading journals.

🌟 Legacy and Future Contributions

Dr. Shahivandi’s legacy is marked by his dedication to advancing renewable energy technologies and materials science. Looking ahead, he aims to explore novel nanomaterials for energy applications and foster global collaborations to tackle pressing challenges in sustainable development.

Publication top notes

Temperature dependence of iodine vacancies concentration in CH3NH3PbI3 perovskite: A theoretical analysis

  • Authors: Hamid Shahivandi, Mohamadhosein Nosratjoo
    Journal: Physica B: Condensed Matter
    Year: 2024

Theory of light-induced degradation in perovskite solar cells

  • Authors: Hamid Shahivandi
    Journal: (No journal name provided)
    Year: 2020

Study of the effect of temperature on light-induced degradation in methylammonium lead iodine perovskite solar cells

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: Solar Energy Materials and Solar Cells
    Year: 2020

Iodine Vacancy Formation Energy in CH3NH3PbI3 Perovskite

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: IEEE Journal of Photovoltaics
    Year: 2020

Theoretical Study of Effective Parameters in Catalytic Growth of Carbon Nanotubes

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: physica status solidi (a)
    Year: 2017

 

 

 

jianzhao Wu | Computational Methods | Best Researcher Award

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Assoc. Prof. Dr. jianzhao Wu | Computational Methods | Best Researcher Award

Huazhong University of Science and Technology | China

Jianzhao Wu  is a renowned mechanical engineer specializing in laser manufacturing technologies and sustainability-focused research. His academic and professional journey has spanned several prestigious institutions, including the National University of Singapore (NUS) and Huazhong University of Science and Technology (HUST), where he obtained his PhD in Mechanical Engineering. Wu has made significant contributions to the fields of laser-arc hybrid welding, laser additive manufacturing, and optimization algorithms for manufacturing processes. His works have been widely recognized and published in high-impact journals.

👨‍🎓Profile

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Early Academic Pursuits 🎓

Wu’s academic career began with a Master’s degree in Mechanical Engineering at Ningbo University, where he explored cutting performance and chip control in Polycrystalline Diamond (PCD) tools. His research interests were initially shaped around tool performance and tribology, paving the way for his later work in laser processing and sustainability. His excellence in research was quickly recognized, with awards such as the National Scholarship and the “Self-strengthening Star” Nomination Award for university students.

Professional Endeavors 💼

Wu’s professional development saw a significant leap when he joined Huazhong University of Science & Technology (HUST), where he worked on cutting-edge research in digital manufacturing and environmentally sustainable technologies. As a Joint Ph.D. student at NUS, Wu collaborated on international projects with Manchester University and Loughborough University to promote low-carbon laser processing technologies. His research involves carbon emission modeling, multi-objective optimization using machine learning algorithms, and laser surface treatment.

Contributions and Research Focus 🔬

Wu’s research focuses on several key areas, including:

  • Low-carbon Laser Manufacturing: He is particularly interested in laser-arc hybrid welding, laser cleaning, and laser additive manufacturing, seeking to optimize these processes for environmental sustainability while maintaining high mechanical properties.
  • Optimization Algorithms: Wu uses machine learning, deep learning models, and convolutional neural networks (CNN) to develop advanced algorithms that optimize the efficiency of manufacturing processes and reduce energy consumption.
  • Tribology and Chip Control: He has conducted pioneering studies in chip breaking mechanisms for PCD tools, particularly in turning operations, focusing on tribological properties and surface textures for improved tool performance.

Research Skills 🔧

Wu has developed expertise in the following key areas:

  • Laser Processing Technologies: Mastery in laser-arc hybrid welding and additive manufacturing techniques for sustainability.
  • Optimization Algorithms: Skilled in data-driven models, ensemble learning, and meta-modeling to optimize manufacturing systems.
  • Carbon Emission Modeling: Advanced techniques to measure and reduce carbon emissions in laser-based processes.
  • Tribology and Surface Engineering: In-depth understanding of tribological properties and laser-textured surfaces for enhanced tool life and performance.

Teaching Experience 📚

Wu has mentored and supervised several undergraduate and postgraduate students in their research projects. His teaching experience at both HUST and NUS has allowed him to guide students in areas related to laser technologies, tribology, and sustainable manufacturing. His involvement in both teaching and research enables him to integrate theoretical knowledge with practical applications, preparing students for the evolving demands of the manufacturing industry.

Legacy and Future Contributions 🔮

Wu is poised to make substantial contributions to sustainable manufacturing and green technologies in the coming years. His work in laser-based technologies has already influenced the global manufacturing landscape, and he continues to explore innovative solutions for low-carbon processes.

Publications Top Notes

Multi-Objective Parameter Optimization of Fiber Laser Welding Considering Energy Consumption and Bead Geometry

  • Authors: Jianzhao Wu, Ping Jiang, Chaoyong Zhang, et al.
    Journal: IEEE Transactions on Automation Science and Engineering
    Year: 2021

Data-driven Multi-objective Optimization of Laser Welding Parameters of 6061-T6 Aluminum Alloy

  • Authors: Jianzhao Wu
    Journal: Journal of Physics: Conference Series
    Year: 2021

Tribological Properties of Bronze Surface with Dimple Textures Fabricated by the Indentation Method

  • Authors: Jianzhao Wu, Aibing Yu, Qiujie Chen, et al.
    Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
    Year: 2020

Study on Position of Laser Cladded Chip Breaking Dot on Rake Face of HSS Turning Tool

  • Authors: Jianzhao Wu, Chenchun Shi, Aibing Yu, et al.
    Journal: International Journal of Machine Tools and Manufacture
    Year: 2017

Comparisons of Tribological Properties Between Laser and Drilled Dimple Textured Surfaces of Medium Carbon Steel

  • Authors: Jianzhao Wu, Aibing Yu, Chenchun Shi, et al.
    Journal: Industrial Lubrication and Tribology
    Year: 2017

 

 

Kerem Mertoğlu | Computational Methods | Best Researcher Award

Published on by High Energy Physics

Assist. Prof. Dr. Kerem Mertoğlu | Computational Methods | Best Researcher Award

Professor (Assistant) at Usak University, Turkey

👨‍🎓 Profiles

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🧑‍🔬📚Summary

Dr. Kerem Mertohğlu is an Assistant Professor with expertise in horticultural science, focusing on fruit cultivation and breeding. His research spans a range of topics including fruit disease resistance, plant biochemistry, and sustainable agriculture practices. He is active in national and international projects and has contributed to numerous publications in reputable journals. 🧑‍🔬📚

Education

  • Doctoral Degree (2017) in Horticulture, specializing in Fruit Breeding and Cultivation 🌿🎓

Professional Experience

  • Assistant Professor, Usak University, Faculty of Agriculture (2023 – Present) 🍏
  • Researcher, Various National and International Research Projects 📊
  • Visiting Researcher, Leibniz University, Germany (2021-2022) 🌍

Research Interests

  • Fruit Breeding & Cultivation 🍎🍇
  • Plant Disease Resistance (e.g., Erwinia amylovora in pear) 🌾🔬
  • Phytochemical Characteristics & Antioxidant Activity in fruits 🍒
  • Impact of Environmental Factors (e.g., altitude on fruit quality) 🌄
  • Sustainable Agricultural Practices and Post-Harvest Technology 🍃

Key Projects

  • Strengthening Social Capital for Rural Development (EU Project) 🌍
  • Development of Liquid Chromatography for Organic Acid Detection (National Project) 🔬

Top Noted Publications

Screening and classification of rosehip (Rosa canina L.) genotypes based on horticultural characteristics
  • Authors: Mertoğlu, K., Durul, M.S., Korkmaz, N., Bulduk, I., Esatbeyoglu, T.
    Journal: BMC Plant Biology (2024)
Mineral composition modulates Erwinia amylovora resistance in pear based on path analysis
  • Authors: Mertoğlu, K., Evrenosoğlu, Y., Akkurt, E., Yeşilbaş, M.F., Gülmezoğlu, N.
    Journal: European Journal of Plant Pathology (2024)
Preharvest Salicylic Acid and Oxalic Acid Decrease Bioactive and Quality Loss in Blackberry (cv. Chester) Fruits during Cold Storage
  • Authors: Erbas, D., Mertoğlu, K., Eskimez, I., Kaki, B., Esatbeyoglu, T.
    Journal: Journal of Food Biochemistry ( 2024)
Maternal Environment and Priming Agents Effect Germination and Seedling Quality in Pitaya under Salt Stress
  • Authors: Kenanoğlu, B.B., Mertoğlu, K., Sülüşoğlu Durul, M., Korkmaz, N., Çolak, A.M.
    Journal: Horticulturae (2023)
Pollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA
  • Authors: Akkurt, E., Mertoğlu, K., Evrenosoğlu, Y., Alpu, Ö.
    Journal: Erwerbs-Obstbau (2023)