Hongling Zhou | Computational Methods | Best Researcher Award

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

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

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

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.

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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

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.

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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

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

Professor (Assistant) at Usak University, Turkey

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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)

 

 

 

Johannes Krotz | Computational Methods | Best Researcher Award

Dr. Johannes Krotz | Computational Methods | Best Researcher Award

Postdoctoral Fellow at Notre Dame, United States

👨‍🎓 Profiles

🌟Summary

👨‍🎓 PhD candidate in Mathematics with a minor in Computer Science, specializing in probabilistic and data-driven methods for numerical PDEs and hybrid Monte Carlo methods for complex systems simulations. Experienced in statistical modeling, computational physics, and advanced simulations with a strong background in teaching and academic leadership. Currently working as a Postdoctoral Researcher at the University of Notre Dame.

🎓 Education

🎓 PhD in Mathematics (Minor in CS)
University of Tennessee Knoxville, 2021–2024

  • Dissertation on Probabilistic & Data-Driven Methods in Numerical PDEs
  • GPA: 4.0

📊 M.Sc. in Statistics
University of Tennessee, 2022–2024

  • GPA: 3.9

📚 M.Sc. in Mathematics
Oregon State University, 2019–2021

  • GPA: 4.0

⚛️ M.Sc. in Physics
University of Konstanz, 2015–2019

  • GPA: 4.0 (Honors)

🔢 B.Sc. in Mathematics & Physics
University of Konstanz, 2012–2018

  • GPA: 3.5 (Mathematics), 3.3 (Physics)

💼 Professional Experience

🔬 Postdoctoral Researcher
University of Notre Dame, 2024–Present

  • Research on hybrid Monte Carlo & deterministic kinetic transport algorithms for exascale simulations in neutron transport.

🧑‍💻 Graduate Research Assistant (GRA)
University of Tennessee/ORNL, 2023–2024

  • Advancing dynamic likelihood filters for stochastic advection-diffusion equations in collaboration with ORNL and UTK.

💼 Research Intern
Oak Ridge National Lab (ORNL), 2021–2022

  • Developed hybrid algorithms for simulating complex particle systems in 2D & 3D.

🌍 Research Intern
Los Alamos National Lab (LANL), 2020

  • Focus on high-fidelity discrete fracture networks and Poisson-disk sampling algorithms for triangulations.

🔬 Research Interests

  • 🧠 Computational Mathematics: Hybrid Monte Carlo methods, kinetic transport equations, and numerical simulations for complex physical systems.
  • 🔍 Stochastic Processes: Advanced data-driven filtering techniques and applications in fluid dynamics, advection-diffusion, and PDEs.
  • 💻 Statistical Modeling: Development of methods for high-dimensional data and stochastic modeling.
  • 🌐 Interdisciplinary Work: Collaborating across fields of mathematics, physics, and engineering to tackle real-world computational challenges.

🏆 Awards

  • 1st & 3rd place at the UTK SIAM Research Showcase (2023, 2024)
  • Randall E. Cline Award (2022) for research excellence

🖥 Technical Skills

  • Python, C++, R, Matlab, LATEX, and more
  • Basic Fortran, AWK

🔗 Professional Memberships

  • SIAM, AWM, AAAS, UCW

 Publications

A Hybrid Monte Carlo, Discontinuous Galerkin Method for Linear Kinetic Transport Equations

  • Authors: Johannes Krotz, Cory D. Hauck, Ryan G. McClarren
  • Journal: Journal of Computational Physics, Vol. 514
  • Year: 2024
Variable Resolution Poisson-Disk Sampling for Meshing Discrete Fracture Networks
  • Authors: Johannes Krotz, Matthew R. Sweeney, Jeffrey D. Hyman, Juan M. Restrepo, Carl W. Gable
  • Journal: Journal of Computational and Applied Mathematics, Vol. 407
  • Year: 2022
Dynamic Likelihood Filters for Advection Diffusion Equations
  • Authors: Johannes Krotz, Jorge M. Ramires, Juan M. Restrepo
  • Journal: The Monthly Weather Review
  • Year: Under review
Minimizing Effects of the Kalman Gain on Posterior Covariance Eigenvalues, the Characteristic Polynomial and Symmetric Polynomials of Eigenvalues
  • Authors: Johannes Krotz
  • Journal: Arxiv (preprint)
  • Year: 2024

 

 

 

Fekadu Muleta | Computational Methods | Editorial Board Member

Assist. Prof. Dr. Fekadu Muleta | Computational Methods | Editorial Board Member

Assistant professor (PhD) at Wolaita Sodo university, Ethiopia

Dr. Fekadu Muleta is an Assistant Professor in the Department of Chemistry at Adama Science and Technology University (ASTU), Ethiopia. With a PhD in Bioinorganic Chemistry, his research spans across synthesis, characterization, and biological applications of metal complexes. His academic journey includes a Master’s in Inorganic Chemistry from Bahir Dar University (BDU), where he also completed his Bachelor’s degree in Chemistry. Dr. Muleta has been actively involved in both teaching and research, contributing significantly to the fields of coordination chemistry, biochemistry, and biological chemistry. His scientific approach integrates molecular docking, antimicrobial testing, and the development of novel complexes for anti-cancer applications. His work has been published in several prestigious journals, and he continues to make strides in his area of expertise with a focus on natural product-based ligands.

🎓Profile

📚 Early Academic Pursuits

Dr. Fekadu Muleta’s academic journey began with a strong foundation in Chemistry at Bahir Dar University (BDU), Ethiopia. His interest in chemistry was evident early on, earning him a Bachelor’s degree in Science Chemistry from BDU in 2007. Following his undergraduate studies, he pursued a Master’s degree in Inorganic Chemistry, specializing in coordination chemistry and biochemistry. Under the mentorship of Prof. Girma Kibatu, his thesis focused on public health issues, specifically analyzing iodine deficiency disorders and iodized salt consumption levels among school children in Amuma and Minjo Districts in Beneshangul Gumuz, Ethiopia. This research, conducted from 2010 to 2011, laid the groundwork for his later transition into research that integrates chemistry with biological applications.

🎓 Professional Endeavors

Dr. Muleta’s professional path took a decisive step forward with his appointment as an Assistant Professor at Adama Science and Technology University (ASTU). Here, he advanced his expertise in Bioinorganic Chemistry, Biochemistry, and Inorganic Chemistry. His Ph.D. dissertation, titled “Synthesis, Characterization, and Molecular Docking Studies of Homoleptic and Heteroleptic Zinc(II), Copper(II), Nickel(II) Complexes of Semicarbazone and Thiosemicarbazone Derivative Ligands for Biological Application”, was supervised by Prof. Tegene Desalegn. This work combined his deep interest in organic ligands, metal complexes, and their biological potential, an area where his academic and professional interests converge.

🔬 Contributions and Research Focus

Dr. Muleta’s research is a blend of synthetic chemistry, biological applications, and advanced analytical techniques. His primary research focuses on the synthesis and characterization of semicarbazone and thiosemicarbazone derivative organic ligands derived from natural products. He has extensively worked on metal complexes, such as zinc, copper, and nickel, exploring their potential as antimicrobial agents, free radical scavengers, and even anti-cancer compounds. In particular, his investigations into heteroleptic and homoleptic complexes have led to novel discoveries that contribute significantly to the understanding of bioinorganic chemistry. Furthermore, Dr. Muleta’s expertise in molecular docking studies offers a crucial link between theoretical chemistry and practical biological applications, a critical area for drug discovery.

🌍 Impact and Influence

Dr. Muleta has had a profound impact on both academic research and the scientific community, particularly in Ethiopia. Through his innovative studies on metal complexation and biological activity, he has contributed to the broader field of medicinal chemistry, with applications that may influence drug design, environmental monitoring, and health sciences. His publications in peer-reviewed journals, such as the Journal of Molecular Structure and the Journal of Chemistry, are a testament to his ability to push the boundaries of both synthetic chemistry and biochemistry.

📑 Academic Citations

Dr. Muleta’s research has already garnered significant recognition in the academic community. Some of his highly cited publications include:

  1. Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone published in the Journal of Molecular Structure, 2022.
  2. Synthesis, molecular docking, and biological studies of novel heteroleptic Cu(II) and Zn(II) complexes of natural product-based semicarbazone derivatives published in 2023, which highlights his interdisciplinary approach integrating chemistry and biology.

These publications have established Dr. Muleta as a valuable contributor to the growing body of knowledge on bioinorganic chemistry and its biological applications, with the potential to lead to therapeutic advancements.

🛠️ Technical Skills

Dr. Muleta’s technical expertise spans a range of sophisticated analytical techniques and platforms. His proficiency in advanced spectroscopy (e.g., Nuclear Magnetic Resonance (NMR), Infrared (IR), UV-Visible Spectroscopy), mass spectrometry, and X-ray Diffraction (XRD) allows him to accurately characterize chemical compounds at the molecular level. Additionally, he is skilled in Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA), tools essential for studying the thermal properties of materials. His use of computational tools for molecular docking further complements his empirical research, providing a holistic approach to complex biological questions.

🧑‍🏫 Teaching Experience

As an Assistant Professor at Adama Science and Technology University, Dr. Muleta has had the privilege of shaping the next generation of chemists. He teaches courses related to inorganic chemistry, bioinorganic chemistry, and biochemistry, instilling in his students not only a deep understanding of the subject matter but also a passion for scientific discovery. His ability to translate complex concepts into digestible lessons has made him a respected educator, and his mentorship has inspired many students to pursue careers in research and academia. Dr. Muleta’s work in research and teaching goes hand-in-hand, as he involves his students in cutting-edge research projects, fostering an environment of hands-on learning.

🔮 Legacy and Future Contributions

Looking ahead, Dr. Muleta’s research trajectory promises further innovations in bioinorganic chemistry. He is well-poised to make significant strides in the synthesis of novel metal-based complexes with potential biological applications, particularly in the development of new drugs and antimicrobial agents. His work on crystal growth and solid-state chemistry is expected to contribute to material science, while his continued collaboration with international research communities will expand his global influence.

Top Noted Publications📖

Synthesis, In Silico, and Biological Applications of Novel Heteroleptic Copper (II) Complex of Natural Product-Based Semicarbazone Ligands
  • Journal: Journal of Chemistry
    Authors: Fekadu Muleta, Tegene Desalegn, Marcelino Maneiro
    Year: 2022
Synthesis, characterization, in-silico, and in-vitro biological studies of Cu(II), Zn(II) complexes of semicarbazone, thiosemicarbazone derivatives of dehydrozingerone
  • Journal: Journal of Molecular Structure
    Authors: Fekadu Muleta
    Year: 2022
Synthesis, In vitro Biological Studies of novel Homoleptic Ni(II) and Zn(II) Complexes of Thiosemicarbazide Derivative ligand
  • Journal: Chemistry and Materials Research
    Authors: Fekadu Muleta
    Year: 2022

 

 

 

 

Himanshu Kumar | Computational Methods | Editorial Board Member

Dr. Himanshu Kumar | Computational Methods | Editorial Board Member

Adjunct Professor at School of Physics, Damghan University, Iran

Dr. Himanshu Kumar is an experienced physicist with over 15 years of teaching expertise. With a PhD in Physics from Jamia Millia Islamia University, and double master’s degrees in Physics and Information Technology, Dr. Kumar combines a deep understanding of both theoretical and applied sciences. He is currently affiliated with the School of Physics, Damghan University, Iran, and holds an adjunct professor role at Delhi Technology University, India. Throughout his career, Dr. Kumar has taught a wide range of courses across Physics, Mathematics, and Computer Science at various universities, consistently earning excellent student evaluations. His teaching style is highly interactive, ensuring that each student, regardless of their academic level, comprehends the subject matter thoroughly. Additionally, Dr. Kumar has contributed to research and academic mentorship, with multiple publications in international journals and participation in various conferences.

Profile🎓

Early Academic Pursuits 🎓

Dr. Himanshu Kumar’s academic journey began with his foundational studies in Physics, earning his BSc in Physics from Vinoba Bhave University in Jharkhand, India, in 1996. He further honed his expertise by completing his MSc in Physics (2004) and a PhD in Physics from Jamia Millia Islamia University, Delhi (2014). Dr. Kumar also pursued an interdisciplinary path by obtaining a PGDITM (Post Graduate Diploma in Information Technology and Management) and an Advanced Diploma in Information Systems from Oxford Software Institute, Delhi. This unique combination of Physics, Information Technology, and Management laid the groundwork for his later contributions to both academia and research.

Professional Endeavors 💼

Dr. Himanshu Kumar has a distinguished career spanning over 15 years in academia. After completing his PhD, he has served in various esteemed positions, currently as an Adjunct Professor at Delhi Technology University and affiliated with the School of Physics, Damghan University, Iran. He has also held key roles as an Assistant Professor at prominent institutions such as Delhi University, NSUT University, and Lingaya University. His teaching career spans a wide array of courses in Physics, Mathematics, and Computer Science, where he has received excellent evaluations from students, a testament to his dedication and interactive teaching style. Dr. Kumar’s ability to connect complex scientific concepts with students of varying academic levels has earned him great respect in the academic community.

Contributions and Research Focus 🔬

Dr. Himanshu Kumar’s primary research interests lie in the computational aspects of physics, especially focusing on quantum gravity, cosmology, and astrophysics. His research has involved modeling complex physical systems, both analytically and numerically. He has published extensively in high-impact journals, contributing to topics such as general relativity, black hole thermodynamics, and quantum corrections in charged BTZ black holes. His work in computational physics bridges theoretical understanding with practical applications, making significant strides in the modeling of astrophysical systems and quantum phenomena. Dr. Kumar has presented his findings at international conferences and has served as a mentor to young researchers through summer research programs, guiding them through cutting-edge topics in theoretical physics.

Impact and Influence 🌍

Dr. Himanshu Kumar has made substantial contributions to the fields of astrophysics, cosmology, and computational physics. His research on quantum gravity and general relativity has had significant implications for our understanding of the universe’s most fundamental processes. In addition to his research contributions, Dr. Kumar has greatly impacted the academic growth of his students, guiding them not only in traditional coursework but also in practical research mentorship. His Summer Research Mentorship Award from Delhi University stands as a recognition of his commitment to student development and the advancement of theoretical physics. His active participation in conferences and workshops further solidifies his role as a key contributor to the scientific community, bringing innovative ideas to the forefront of astrophysics and cosmology.

Academic Cites 📚

Dr. Himanshu Kumar’s work is widely recognized in the scientific community, with his papers being frequently cited in research related to general relativity, astrophysics, and quantum mechanics. Some of his most cited works include his contributions to Gen. Rel. Grav. and Grav. Cosmol., where his research on higher-order quantum corrections in charged BTZ black holes is poised to significantly influence future studies in black hole thermodynamics. Dr. Kumar’s work not only pushes the boundaries of theoretical physics but also bridges gaps between different fields, such as information technology and physics, creating an interdisciplinary research environment that is both innovative and impactful.

Technical Skills 💻

Dr. Himanshu Kumar possesses a rich technical skill set that spans both Physics and Information Technology. His expertise in computational physics has led him to master various programming languages and simulation tools, such as C++, Python, Fortran, and SciLab. Additionally, he is proficient in using Gnuplot and other computational software for data analysis and visualization. Dr. Kumar’s dual expertise in Physics and IT enables him to model complex physical systems, apply advanced numerical methods, and design simulations that aid in understanding theoretical phenomena. His ability to integrate computational methods into his research is a distinguishing feature of his academic profile.

Teaching Experience 🧑‍🏫

With over 15 years of experience, Dr. Himanshu Kumar has taught a diverse range of courses in Physics, Mathematics, and Computer Science at both the undergraduate and postgraduate levels. His teaching is characterized by an interactive style that focuses on ensuring each student fully understands foundational concepts before progressing to more advanced topics. He has taught Cosmology, Astrophysics, Wave Optics, Classical Mechanics, and Computational Physics, among other courses. Dr. Kumar’s commitment to his students is reflected in his consistently high student evaluations, earning him a reputation as a dedicated and effective educator. His innovative approach to teaching and his ability to simplify complex topics have inspired students to pursue careers in physics and computational science.

Legacy and Future Contributions 🔮

Dr. Himanshu Kumar’s legacy is built on his interdisciplinary approach to teaching and research. His contributions to astrophysics, cosmology, and computational physics have paved the way for further exploration of quantum gravity and black hole thermodynamics. As he continues his work at Damghan University and Delhi Technology University, Dr. Kumar aims to inspire future generations of physicists and researchers. His commitment to student mentorship, evidenced by his numerous summer research programs, and his ongoing publications, ensure that his influence on the field will continue to grow. His work not only advances theoretical physics but also bridges the gap between scientific disciplines, offering new perspectives on how physics and information technology can be integrated to solve complex, real-world problems.

Top Noted Publications📖

Method Facilitating Wired and Wirelessly Charging Batteries of Electric Vehicles (EVS) via Deployment of Smart Charging Plug and Socket for Autonomously Locating and Engaging Plug-Socket Connector in Context of Smart Charging System
  • Journal: Patent
    Author: Dr. Himanshu Kumar
    Year: 2021
The Ageing Problem of Twins in Reissner–Nordström Spacetime
  • Journal: Modern Physics Letters A
    Author: Saurabh, Himanshu Kumar
    Year: 2020
    DOI: 10.1142/s021773232050008x
Self-interacting Cold Dark Matter: A New Jeans Theory Based Model
  • Journal: Gravitation and Cosmology
    Author: Himanshu Kumar
    Year: 2015
    DOI: 10.1134/s0202289315040106
Feebly Self-Interacting Cold Dark Matter: New Theory for the Core-Halo Structure in GLSB Galaxies
  • Journal: ArXiv
    Author: Himanshu Kumar, Sharf Alam
    Year: 2013
    DOI: 10.48550/ARXIV.1307.7469
Surface Tension with Normal Curvature in Curved Space-Time
  • Journal: General Relativity and Gravitation
    Author: Himanshu Kumar, Sharf Alam, Suhail Ahmad
    Year: 2013
    DOI: 10.1007/s10714-012-1464-y

 

 

 

Jie Li | Computational Methods | Best Researcher Award

Assoc. Prof. Dr. Jie Li | Computational Methods | Best Researcher Award

Teacher at Chongqing University of Science and Technology, China

Li Jie is an accomplished doctor, associate professor, and master’s supervisor at Shanghai Jiaotong University, where he also serves as a postdoctoral fellow. As the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing, he leads initiatives in smart neurosurgery and participates actively in various professional committees related to artificial intelligence and smart transportation. An Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence, he has contributed significantly to international conferences.

Profile🎓

Early Academic Pursuits🌱

Li Jie began his academic journey with a strong focus on artificial intelligence and smart technologies, laying a solid foundation for his future endeavors. His time at Tsinghua University and later at the University of Rhode Island enriched his understanding and broadened his research perspectives, preparing him for a distinguished career in academia and industry.

Professional Endeavors 💼

As a postdoctoral fellow at Shanghai Jiaotong University, Li Jie has undertaken significant leadership roles, including serving as the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing. His involvement with the Smart Neurosurgery Group and various professional committees reflects his commitment to advancing healthcare through innovative technology and collaboration.

Contributions and Research Focus 🔍

Li Jie’s research primarily centers on smart security and neurosurgery, where he utilizes artificial intelligence to enhance medical practices. He has hosted 16 funded projects and has published over 40 academic papers in high-impact journals, showcasing his dedication to contributing valuable knowledge to the field.

Impact and Influence 🌍

With a reputation as a thought leader, Li Jie has made significant contributions that have influenced both academia and industry. His role as an Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence and participation in various international conferences underscore his influence in shaping research agendas and fostering collaborations.

Academic Citations 📚

Li Jie’s work is widely recognized, as evidenced by his 40 published papers and the acclaim received for his book, “Artificial Intelligence.” His research has garnered citations that highlight its relevance and impact, establishing him as a respected figure in his field.

Technical Skills ⚙️

Possessing a robust set of technical skills, Li Jie excels in areas such as computational intelligence, data analysis, and machine learning. His expertise in securing over 40 invention patents demonstrates his innovative approach and practical application of technology in research.

Teaching Experience 👨‍🏫

As a master’s supervisor and associate professor, Li Jie has mentored numerous students, instilling in them a passion for research and innovation. His teaching methods emphasize practical applications of theory, preparing students for successful careers in technology and science.

Legacy and Future Contributions 🔮

Li Jie’s legacy is marked by his commitment to advancing smart technologies in healthcare. Looking ahead, he aims to expand his research collaborations internationally and engage in interdisciplinary projects, furthering the impact of his work on society and technology. His vision for the future underscores a dedication to innovation that will shape the next generation of researchers and practitioners.

Publication Top Notes📖

Metric learning based multi-branch network for tongue manifestation recognition
  • Authors: Ren, S., Wu, R., Luo, Q., Wang, Y., Li, J.
    Publication Year: 2024
FASCNet: An Edge-Computational Defect Detection Model for Industrial Parts
  • Authors: Li, J., Wu, R., Zhang, S., Chen, Y., Dong, Z.
    Publication Year: 2024
Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
  • Authors: Li, F., Zhou, Y., Chen, Y., Dong, Z., Tan, M.
    Publication Year: 2024
A Mixed-Precision Transformer Accelerator With Vector Tiling Systolic Array for License Plate Recognition in Unconstrained Scenarios
  • Authors: Li, J., Yan, D., He, F., Dong, Z., Jiang, M.
    Publication Year: 2024
A novel medical text classification model with Kalman filter for clinical decision making
  • Authors: Li, J., Huang, Q., Ren, S., Deng, B., Qin, Y.

           Publication Year: 2023