Nasruddin Nasruddin | Chemistry and Materials Science | Innovative Research Award

Published on by Research Hypothesis

Mr. Nasruddin Nasruddin | Chemistry and Materials Science | Innovative Research Award

Mr. Nasruddin Nasruddin | Chemistry and Materials Science | Innovative Research Award | Researchers | National Research and Innovation Agency | Indonesia

Mr. Nasruddin Nasruddin is a highly accomplished Principal Researcher at the National Research and Innovation Agency of the Republic of Indonesia, recognized for his extensive expertise in functional rubber, advanced polymer materials, and sustainable industrial applications. With a strong academic foundation built through his Master’s and Doctoral degrees in Agro-Industry from Sriwijaya University, he has dedicated his career to advancing natural rubber technology, composite materials, and environmentally responsible fillers that enhance product performance in tire manufacturing, asphalt modification, industrial components, and polymer-based engineering systems. His professional experience spans comprehensive research on natural rubber, synthetic rubber blends, graphene-reinforced composites, bio-based fillers such as sawdust-derived activated carbon, palm-oil-based zinc stearate, and innovative materials for solid tires, sponge applications, and waterproof fabrics. He has also contributed to material optimization studies involving sodium bicarbonate, kaolin, diene monomers, and natural latex grafting technologies, positioning him as a national leader in applied rubber science. His research interests include polymer formulation, composite characterization, rheological and mechanical property analysis, and the development of advanced fillers and softeners derived from renewable resources. His research skills cover experimental material design, industrial-scale process evaluation, performance testing, and collaboration with multidisciplinary teams across national laboratories, industrial partners, and academic institutions. Throughout his career, he has produced an extensive body of peer-reviewed work in reputable journals such as Applied Sciences, Polymers, Results in Engineering, Key Engineering Materials, the Indonesian Journal of Chemistry, and various IOP and AIP conference series, contributing significantly to national and global scientific progress. His contributions extend to community involvement through knowledge dissemination, participation in conferences, collaborative research programs, and support for Indonesia’s innovation agenda in sustainable materials. His work has received recognition in the form of professional impact, successful project outcomes, and contributions to industrial development, reflecting his commitment to excellence and innovation. With a research portfolio that supports environmentally conscious material engineering and provides practical solutions for industrial challenges, he continues to advance Indonesia’s leadership in rubber technology. In conclusion, Mr. Nasruddin Nasruddin stands out as an influential researcher whose expertise, productivity, and dedication to sustainable polymer development make him a vital contributor to scientific progress and industrial innovation, and his ongoing leadership continues to inspire future advancements in functional rubber materials.

Profile: ORCID 

Featured Publications

  1. Wulandari, E. P., Marlina, P., Nasruddin, N., et al. (2025). Application of sawdust-derived activated carbon as a bio-based filler in vulcanized rubber bushings. Polymers.

  2. Nasruddin, N., Setianto, W. B., Atmaji, P., et al. (2024). Utilization of spent bleaching earth as green filler and plasticizer in the manufacture of rubber compounds for solid tire production. Results in Engineering.

  3. Setianto, W. B., Nasruddin, N., Astuti, A., et al. (2024). The influence of palm-oil-based zinc stearate application on vulcanized rubber: Analyzing hardness, tensile strength, and elongation at break for hand grip formulation development. Key Engineering Materials.

  4. Nasruddin, N., Setianto, W. B., Atmaji, P., et al. (2024). Enhancing asphalt mix solubility with sodium bicarbonate leavening in vulcanized rubber: A regulatory-compliant approach. IOP Conference Series: Earth and Environmental Science.

  5. Ibrahim, B., Wiranata, A., Zahrina, I., Sentosa, L., Nasruddin, N., & Muharam, Y. (2024). Phase separation study on the storage of technically specified natural rubber modified bitumen. Applied Sciences.

  6. Nasruddin, N., Agustini, S., Bondan, A. T., et al. (2023). Study of selection of synthetic rubber as composite material with natural rubber for the outer coating of solid foam tires. AIP Conference Proceedings.

  7. Nasruddin, N., Setianto, W. B., Yohanes, H., et al. (2023). Characterization of natural rubber, styrene-butadiene rubber, and nitrile-butadiene rubber monomer blend composites loaded with zinc stearate to be used in the solid tire industry. Applied Sciences.

 

Pinar Karagul | Chemistry and Materials Science | Best Researcher Award

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Dr. Pinar Karagul | Chemistry and Materials Science | Best Researcher Award

Research Assistant | Faculty of Arts and Sciences Department of Chemistry in Duzce University | Turkey

Dr. Pinar Karagoz is a highly accomplished academic whose career is marked by robust education, rich professional experience, strong research interests, well-developed research skills, and multiple recognitions. She earned her Ph.D. in Computer Engineering from Middle East Technical University (METU), Turkey; she also completed her Master’s and Bachelor’s in Computer Engineering at METU. Throughout her career Dr. Pinar Karagoz has held various positions including faculty at METU, visiting scholar roles in international institutions, and leadership of her own lab (the Karagoz Lab) focusing on data mining, machine learning, recommender systems, semantic web, web usage mining, and social network analysis. Her research interests span machine learning algorithms, big data analytics, workflow and process mining, graph mining, recommendation systems, and information retrieval from web and social media. She has strong research skills in statistical learning, sequential data mining, graph and hyper-graph modeling, stream and event detection, Natural Language Processing (NLP) methods (e.g., irony detection, named entity recognition), trust-aware recommendation, optimization algorithms, and evaluation of algorithms under real world datasets. Dr. Pinar Karagoz has authored 2 documents, 4 Citations, 2 h‐index in some smaller contexts but in larger Scopus / WoS metrics she has many more (Scopus h-index ≈ 23; WoS h-index ≈ 20) and is widely cited (Scopus citations > 1600; WoS > 1100). Her labs and collaborations have produced over one hundred articles in international conferences and journals. She has received awards and honours such as Best Paper Awards, “Distinguished Reviewer” recognitions (e.g. for VLDB), national research funding successes (for instance TÜBİTAK, etc.), and she is often invited to give keynote or invited talks, mentor graduate students, and participate on editorial boards and program committees. In addition, she is professionally active through serving in projects (national and international), supervising theses, and contributing to open source and open research initiatives. In conclusion, Dr. Pinar Karagoz combines solid educational foundations with strong professional academic experience, broad and current research interests, excellent skills in modern data science and mining, and recognitions that reflect her high standing; she is well positioned to continue making high-impact contributions, to lead large international research collaborations, to increase outputs in top (Q1) journals, to play leading roles in her field in terms of service, mentorship, and innovation.

Profile:  Scopus | Google scholar

Featured Publications

  1. Large-Scale Renewable Energy Monitoring and Forecast Based on Intelligent Data Analysis — 2019 — (citation count: not precisely given in source)

  2. Learning to Rank by Using Multivariate Adaptive Regression Splines and Conic Multivariate Adaptive Regression Splines — 2020 — (citation count: data not available in source)

  3. Comparison of Integer Linear Programming and Dynamic Programming Approaches for ATM Cash Replenishment Optimization Problem — 2020 — (citation count: unknown)

  4. Trajectoy Prediction for Maritime Vessels Using AIS Data — 2020 — (citation count: likely tied to best paper type)

  5. Investigating the Neural Models for Irony Detection on Turkish Informal Texts — 2020 — (citation count: unspecified)

  6. Explicit and Implicit Trust Modeling for Recommendation — 2022 — (citation count: unspecified)