Radmila Jancic Heinemann | Materials Science | Best Researcher Award

Posted on by Academic achievements

Prof. Dr. Radmila Jancic Heinemann | Materials Science | Best Researcher Award

Professor | Faculty of Technology and Metallurgy, University of Belgrade | Serbia

Radmila Jančić Heinemann is a distinguished professor in Material Engineering at the Faculty of Technology and Metallurgy, University of Belgrade. Her expertise lies in composite materials and the application of image analysis in materials science research. Professor Jančić Heinemann has been an integral part of academic and research development, focusing on the correlation between material structure, processing, and properties for various applications, particularly in functional composite materials for both structural and medical uses.

Profile

Scopus

Education
Professor Jančić Heinemann’s academic journey began at the Faculty of Technology and Metallurgy, University of Belgrade, where she completed her Bachelor’s degree in Chemical Engineering in 1987. She continued her studies, earning a Master’s degree in Materials Science in 1995, with a thesis on producing glass tubes using centrifugal deposition and sol-gel technology. Her academic path culminated in a Ph.D. in Materials Science in 1999, where her doctoral research focused on the production of alumina ceramic fibers using centrifugal deposition.

Experience
Since December 2015, Professor Jančić Heinemann has held the position of full professor at the Faculty of Technology and Metallurgy. In this role, she teaches several courses in materials science for both undergraduate and graduate students, including chemical engineering and materials science programs. Her research expertise in composite materials has led her to develop curricula that integrate theoretical knowledge with practical applications in functional composite materials, particularly for structural and medical purposes. She also supervises doctoral students, guiding them through advanced studies in materials science, functional materials, and image analysis applications. Her previous academic experience includes positions from teaching assistant to associate professor between 1989 and 2015, where she worked on advancing education in composite materials.

Research Interests
Professor Jančić Heinemann’s research is centered on the development of composite materials with predetermined properties tailored for specific applications. She has focused particularly on understanding the interplay between material processing, structure, and properties. Her research interests cover a broad range of composite materials, including those used for structural and medical purposes. Additionally, her work utilizes image analysis to predict material behavior under various conditions. She is dedicated to creating composites that are not only functional but also optimized for enhanced performance in diverse fields such as mechanical and biomedical engineering.

Awards
Professor Jančić Heinemann has received recognition for her significant contributions to the field of materials science. While specific awards have not been detailed in the provided information, her long and impactful career, particularly her leadership in the development of advanced composite materials, reflects her academic excellence. Her research and teaching have earned her the respect of peers and students alike. As a full professor and thesis advisor for students from Serbia and Libya, she continues to influence the field through both education and research.

Publications
Professor Jančić Heinemann has authored and co-authored numerous publications, contributing significantly to materials science research. Among her most recent publications, the following stand out:

  1. Alazreg A., Vuksanović M. M., Egelja A., Mladenović I. O., Radovanović Ž., Petrović M., Marinković A., Jančić Heinemann R. (2023). “Mechanical properties of acrylate matrix reinforced with manganese-aluminum layered double hydroxide (MnAl-LDH).” Polymer Composites, 44(8), 27597. DOI: 10.1002/pc.27597.
  2. Marinković A. D., Vuksanović M. M., Karić N., Đokić V., Popović M., Jančić Heinemann R. (2021). “The effect of natural modifiers for starch hydrophobization on performance of composite based on ethylene acrylic acid copolymer.” Polymer Composites, 42(3), 1325-1337. DOI: 10.1002/pc.25903.
  3. Vuksanović M. M., Mladenović I. O., Tomić N. Z., Petrović M., Radojević V. J., Marinković A. D., Jančić Heinemann R. (2022). “Mechanical properties of biomass-derived silica nanoparticles reinforced PMMA composite material.” Science of Sintering, 54(2), 211-221. DOI: 10.2298/SOS2202211V.
  4. Obradović V., Vuksanović M., Tomić N. Z., Petrović M., Marinković A., Stojanović D., Radojević V., Jančić Heinemann R. (2022). “Impact properties of Kolon/PVB fabrics reinforced with rice-husk silica particles.” Materials Letters, 324, 132668. DOI: 10.1016/j.matlet.2022.132668.
  5. Vuksanović M. M., Egelja A., Barudžija T., Tomić N. Z., Petrović M., Marinković A., Radojević V., Jančić Heinemann R. (2021). “Inorganically modified particles FeAl-LDH@SiO2 as reinforcement in poly(methyl) methacrylate matrix composite.” Royal Society Open Science, 8(9), 210835. DOI: 10.1098/rsos.210835.

Her research has been widely cited and continues to have a significant impact on the fields of materials science, composites, and image analysis.

Conclusion
Professor Radmila Jančić Heinemann is a highly respected academic and researcher in the field of materials engineering. Her career reflects a deep commitment to advancing materials science through both education and research. Her work in composite materials, particularly with a focus on functional materials for structural and medical applications, has made her a leading figure in her field. With numerous publications to her name, a wealth of academic experience, and a dedication to her students and the research community, she continues to shape the future of material engineering.

Sandeep Jain | Mechanical and Metallurgical Engineering | Best Researcher Award

Posted on by Academic achievements

Dr. Sandeep Jain | Mechanical and Metallurgical Engineering | Best Researcher Award 

Post Doctoral Researcher at Sungkyunkwan University, Republic of Korea, South Korea

Dr. Sandeep Jain is a Postdoctoral Researcher at the Department of Materials Science and Engineering, Sungkyunkwan University, South Korea. With a solid foundation in materials science, Dr. Jain has gained extensive experience in alloy development, mechanical behavior analysis, and the application of machine learning in materials research. His work spans critical areas such as high-entropy alloys, phase equilibria studies, and the development of lightweight materials, making significant contributions to the field. He has collaborated internationally, demonstrating his ability to work across interdisciplinary teams and cutting-edge projects, driving innovation in materials engineering.

Profile

ORCID

Education:

Dr. Sandeep Jain holds a Ph.D. in MEMS from the Indian Institute of Technology (IIT) Indore, which he completed in 2023 with a CGPA of 8.67/10. Prior to his doctoral studies, he earned his Master of Technology in Material Science and Engineering from IIT Indore in 2017, achieving a CGPA of 8.75/10. His academic journey began with a Bachelor of Engineering in Mechanical Engineering from Jai Narain Vyas University, Jodhpur, in 2013, where he secured a percentage of 68%. Dr. Jain’s academic excellence in these esteemed institutions reflects his dedication to research and innovation in materials science.

Experience:

Dr. Jain’s professional experience includes his current position as a Postdoctoral Researcher at Sungkyunkwan University, where he is involved in the design and development of lightweight multicomponent alloys using machine learning. Prior to this, he worked as a Research Associate at IIT Delhi, where he focused on the mechanical and creep behavior of Ni-based superalloys and XRD analysis of hot-rolled aluminum-containing stainless steel. Additionally, he has served as a Project Associate at IIT Indore, contributing to the design and development of lightweight Ni-based alloys. During his Ph.D., Dr. Jain conducted in-depth research on phase equilibria and mechanical properties of multicomponent alloys, further enhancing his expertise in the field.

Research Interest:

Dr. Jain’s research interests lie at the intersection of materials science and machine learning. He specializes in the development of high-entropy alloys for high-temperature and high-strength structural applications, phase equilibria studies, and mechanical behavior analysis. His work also extends to solidification simulation and materials characterization, where he applies machine learning techniques to optimize alloy performance and predict mechanical properties. His interdisciplinary approach bridges advanced materials research with emerging technologies, making his work highly relevant for the future of engineering materials.

Awards:

While Dr. Jain’s CV does not list specific awards, his accomplishments in cutting-edge research, prestigious academic affiliations, and numerous publications in high-impact journals demonstrate his growing recognition in the field of materials science. His contributions, particularly in the integration of machine learning with alloy development, reflect a forward-thinking approach, positioning him as an emerging leader in his field.

Publications:

Dr. Jain has an impressive list of publications in reputed journals, covering a wide range of topics from phase equilibria to machine learning in material science. Some of his notable works include:

Phase equilibria and mechanical properties in multicomponent Al-Ni-X (X= Fe, Cr) alloys (2018), Trans Indian Inst Met, cited by 40.

Phase evolution and mechanical behavior of Co-Fe-Mn-Ni-Ti eutectic high entropy alloy (2018), Trans Indian Inst Met, cited by 30.

Solidification simulation of single-phase Fe-Co-Cr-Ni-V high entropy alloy (2022), Philosophical Magazine, cited by 25.

Effect of Si on microstructure and mechanical properties of Al-Cu alloys (2022), Silicon, cited by 20.

Solidification simulation of 6-component single-phase high entropy alloy (2022), Trans Indian Inst Met, cited by 15.

Effect of Ni and Si alloying elements on phase evolution and mechanical properties of Al-Cu alloys (2023), Material Chemistry and Physics, cited by 18.

Effect of Friction Stir Processing of novel designed Aluminum-Based Alloys to Enhance Strength and Ductility (2023), Arabian Journal for Science & Engineering, cited by 14.

Prediction of hot deformation behavior in AlCoCrFeNi2.1 eutectic high entropy alloy by conventional and artificial neural network modeling (2023), The Transactions of Indian National Academy of Engineering, cited by 12.

Effect of Ta on the evolution of phases and mechanical properties of novel seven components Fe-Co-Ni-Cr-V-Al-Ta eutectic high entropy alloys: Experimental study and Numerical Simulation (2024), The Transactions of Indian National Academy of Engineering, cited by 10.

Prediction of the effect of Ta on the mechanical behavior and experimental validation of novel six components Fe-Co-Ni-Cr-V-Ta eutectic high entropy alloys (2024), Refractory Metals and Hard Materials, cited by 8.

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques (2024), Journal of Material Research and Technology, cited by 6.

A Machine Learning Perspective on Hardness Prediction in Advanced multicomponent Al-Mg based Lightweight Alloys (2024), Material Letters, cited by 4.

Genetic Algorithm Optimized Multiply Strategies Flow Behavior Modeling at Elevated Temperatures: A Case Study of AA6061-T6 Alloy (2024), Journal of Material Research and Technology, cited by 2.

Conclusion:

Sandeep Jain stands out as an innovative and productive researcher with expertise in materials science, machine learning integration, and alloy development. His accomplishments in publishing high-impact research, international collaborations, and the application of advanced techniques like machine learning in engineering materials make him a strong candidate for the Best Researcher Award. However, broadening his research impact and taking on more leadership roles could further elevate his candidacy in the future.