Safaa Najah Saud Al-humairi | Design of Experiments | Editorial Board Member

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Editorial Board Member

Safaa Najah Saud Al-humairi,
Management and Science University.

Safaa Najah Saud Al-humairi is a researcher affiliated with Management and Science University, Malaysia. Her stated research subject area is nanotechnology. Her scholarly profile reports 3,108 citations, an h-index of 32, and an i10-index of 73, according to the supplied profile information. [1]

Safaa Najah Saud Al-humairi
Affiliation Management and Science University
Country Malaysia
Citations 3,108
h-index 32
i10-index 73
Subject Area Nanotechnology
Event World Statistics Award

Abstract

This article presents the academic profile of Safaa Najah Saud Al-humairi, affiliated with Management and Science University in Malaysia. The supplied information identifies nanotechnology as her subject area and reports 3,108 citations, an h-index of 32, and an i10-index of 73. These indicators provide a bibliometric overview, subject to verification against the original scholarly profile. [1]

Keywords

Safaa Najah Saud Al-humairi, nanotechnology, research profile, bibliometrics, citation analysis, h-index, i10-index, scholarly publications, academic recognition, Management and Science University, Malaysia, World Statistics Award. [1]

Introduction

Safaa Najah Saud Al-humairi is presented as a researcher affiliated with Management and Science University in Malaysia, with nanotechnology identified as her subject area. Her scholarly profile provides a basis for examining research visibility through citation indicators. This article summarizes the supplied information while distinguishing reported metrics from independently verified academic records. [1]

Research Profile

The supplied profile associates Safaa Najah Saud Al-humairi with Management and Science University and identifies nanotechnology as her research subject. Reported bibliometric indicators include 3,108 citations, an h-index of 32, and an i10-index of 73. These figures describe citation activity but do not independently establish publication quality, research methods, or individual contributions. [1]

Research Contributions

Nanotechnology encompasses research involving materials and systems at very small scales, with applications across multiple scientific and technological fields. The supplied profile identifies this broad subject area but does not specify individual studies, methods, or discoveries attributable to the researcher. Specific contributions should therefore be described using verified publications, abstracts, and documented research findings. [1]

Publications

The researcher’s Google Scholar profile provides a starting point for reviewing indexed scholarly publications, co-authorship, and citation activity. However, a complete publication list, article titles, journal details, publication dates, and DOI identifiers were not included in the supplied information. Individual publications should be checked against their original publisher records before being listed or cited as evidence of research output. [1]

Research Impact

The supplied bibliometric figures report 3,108 citations, an h-index of 32, and an i10-index of 73. Citations can indicate that scholarly work has been referenced by other publications, while the h-index reflects publication and citation performance together. These indicators vary by database and date and should be interpreted alongside research quality, field norms, and documented contributions. [1]

Award Suitability

The World Statistics Award provides the stated recognition context for this academic profile. The researcher’s reported citation indicators may serve as supporting information during an assessment, but they do not alone establish eligibility or award merit. A fair evaluation should consider verified publications, methodological rigor, relevance to the award criteria, documented contributions, and the accuracy of the submitted academic record. [1] [2]

Conclusion

Safaa Najah Saud Al-humairi’s supplied academic profile identifies an affiliation with Management and Science University in Malaysia and a subject area of nanotechnology. Reported citation indicators offer an initial view of scholarly visibility. Further assessment requires verification of publication records, research contributions, institutional details, and alignment with the World Statistics Award’s published recognition criteria. [1] [2]

References

  1. Google Scholar. (n.d.). Scholar profile: Safaa Najah Saud Al-humairi. Profile and bibliometric information supplied for this article. Retrieved October 21, 2026.

    https://scholar.google.com/citations?user=k3ISRbcAAAAJ&hl=en&oi=ao

  2. Saud, S. N., Hamzah, E., Abubakar, T., Bakhsheshi-Rad, H. R., Yusop, M. Z., & Tanemura, M. (2014). Effects of Mn additions on the structure, mechanical properties, and corrosion behavior of Cu-Al-Ni shape memory alloys. Journal of Materials Engineering and Performance.

    https://doi.org/10.1007/s11665-014-1134-1

  3. Wahid, M. A., Hosseini, S. E., Hussen, H. M., Akeiber, H. J., Saud, S. N., & Mohammad, A. T. (2017). An overview of phase change materials for construction architecture thermal management in hot and dry climate region.

    https://doi.org/10.1016/j.applthermaleng.2016.07.032

Miguel Ferrer | Operations Research and Statistical Optimization | Innovative Research Award

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Innovative Research Award

Miguel Ferrer,
Spanish National Research Council.

Miguel Ferrer
Affiliation Spanish National Research Council
Country Spain
Scopus ID 7202505400
Documents 198
Citations 6,853
h-index 48
Subject Area Biologia
Event World Statistics Awards
ORCID 0000-0003-0092-8450

Miguel Ferrer is a Spain-based researcher affiliated with the Spanish National Research Council whose documented work includes applied ecological research, raptor conservation, reintroduction, population management, and quantitative approaches to conservation problems. His publication record includes studies involving predictive modelling, field-based analysis, and evidence-driven management of threatened birds. [1]

Abstract

Miguel Ferrer’s research profile encompasses ecological investigation, raptor conservation, reintroduction programmes, population management, and quantitative approaches to environmental decision-making. His published work demonstrates the use of field observations, statistical analysis, predictive modelling, and long-term datasets to examine conservation challenges. His research includes studies of Spanish imperial eagles, white-tailed eagles, vultures, and bird mortality associated with electrical infrastructure. [1] [2]

Keywords

Miguel Ferrer; ecological research; conservation biology; raptor ecology; predictive modelling; reintroduction; population management; statistical analysis; biodiversity; Spanish imperial eagle; bird conservation; environmental research.

Introduction

Miguel Ferrer’s research is situated within applied ecology and conservation science, with particular attention to raptors and threatened bird populations. His studies combine ecological observations, quantitative analysis, and management-oriented investigation to address conservation questions. Published research has examined reintroduction practices, demographic processes, nutritional condition, and threats affecting birds in managed landscapes. [2]

Research Profile

Ferrer’s documented research profile includes long-term ecological studies and applied conservation research conducted through the Estación Biológica de Doñana and the Spanish National Research Council. His work covers raptor biology, conservation management, reintroduction, dispersal, reproduction, and environmental risk assessment. Bibliographic records identify his participation in multidisciplinary studies involving ecological datasets and quantitative research methods. [1] [3]

Research Contributions

His contributions include research on supplementary feeding and raptor reintroduction, juvenile dispersal, breeding processes, nutritional condition, and conservation interventions. More recent work has applied predictive modelling to identify patterns of bird electrocution across electrical networks, demonstrating how quantitative models can support prioritisation of conservation measures. These studies connect ecological evidence with practical conservation planning. [3] [4]

Publications

Ferrer has contributed to peer-reviewed publications covering avian ecology and conservation. Selected works include research on reintroducing endangered raptors, the health and nutritional status of white-tailed eagle nestlings, and modelling approaches for reducing bird electrocutions. These publications illustrate the integration of empirical datasets, statistical reasoning, ecological interpretation, and conservation applications. [2] [4]

Research Impact

The reported bibliometric profile lists 198 documents, 6,853 citations, and an h-index of 48. These supplied metrics provide a quantitative description of the researcher’s indexed publication and citation record. His research has also addressed practical conservation questions, including reintroduction strategies and identification of high-risk electrical infrastructure, linking scientific analysis with potential management applications. [1] [4]

Award Suitability

For the Innovative Research Award, Ferrer’s documented record provides evidence of sustained research activity involving ecological datasets, quantitative modelling, conservation analysis, and interdisciplinary collaboration. His publications address established environmental problems through empirical and analytical approaches. The supplied bibliometric indicators further document an extensive indexed research record relevant to evaluating scholarly productivity and research contributions. [1] [3]

Conclusion

Miguel Ferrer’s research record reflects sustained engagement with applied ecology, raptor conservation, quantitative analysis, and evidence-based environmental management. His publications demonstrate research across reintroduction, population ecology, animal health, and conservation risk modelling. Together with the supplied bibliometric indicators, these documented activities provide a structured basis for academic recognition under the Innovative Research Award category. [1] [4]

References

  1. Ferrer, M., Evans, R., Hedley, J., Hollamby, S., Meredith, A., Morandini, V., Selly, O., Smith, C., & Whitfield, D. P. (2023). Hacking techniques improve health and nutritional status of nestling White-tailed Eagles. Ecology and Evolution, 13(2), e9776.

    https://doi.org/10.1002/ece3.9776

  2. Ferrer, M., Morandini, V., Baguena, G., & Newton, I. (2018). Reintroducing endangered raptors: A case study of supplementary feeding and removal of nestlings from wild populations. Journal of Applied Ecology, 55(3), 1360–1367.

    https://doi.org/10.1111/1365-2664.13014

  3. Morandini, V., Dietz, S., Newton, I., & Ferrer, M. (2019). The role of age of first breeding in modeling raptor reintroductions. Ecology and Evolution, 9(5), 2978–2985.

    https://doi.org/10.1002/ece3.4979

  4. Ferrer, M., Florencio, C., Muriel, R., Morandini, V., & García-Macía, J. (2026). How to prioritize measures to reduce the electrocutions of birds in distribution power line networks. Global Ecology and Conservation, 69, e04318.

    https://doi.org/10.1016/j.gecco.2026.e04318

Deniz Bingöl | Design of Experiments | Innovative Research Award

Published on by Statistics

Innovative Research Award

Deniz Bingöl,
Kocaeli University.

Deniz Bingöl
Affiliation Kocaeli University
Country Turkey
Scopus ID 6506971252
Documents 51
Citations 1,891
h-index 24
Subject Area Modification methods for agricultural waste materials
Event World Statistics Awards
ORCID 0000-0002-9396-2422

Deniz Bingöl is a researcher affiliated with Kocaeli University whose scholarly profile reflects sustained activity in research concerning innovative modification approaches for agricultural waste materials. Available bibliometric information records 51 documents, 1,891 citations, and an h-index of 24, providing measurable indicators of research productivity and scholarly visibility in relevant academic fields.[1] [2]

Abstract

Deniz Bingöl’s research profile is associated with innovative approaches to modifying agricultural waste materials, emphasizing scientific investigation of materials with potential research and practical relevance. Bibliometric indicators provide evidence of an established scholarly record, while the researcher’s institutional and persistent identifiers support transparent academic attribution and verification across research information systems.[1] [2]

Keywords

  • Agricultural waste materials
  • Material modification
  • Innovative research
  • Sustainable materials
  • Research impact
  • Scientific innovation

Introduction

Agricultural waste represents an important research resource because its physical and chemical characteristics can be investigated for improved material applications. Research on modification methods seeks to enhance useful properties while supporting resource efficiency and sustainable scientific practice. Bingöl’s research area aligns with this broader interdisciplinary objective, connecting agricultural residues with innovative materials research.[1]

Research Profile

Deniz Bingöl is affiliated with Kocaeli University and has an indexed scholarly profile identified through Scopus Author ID 6506971252 and ORCID 0000-0002-9396-2422. The available record contains 51 documents, 1,891 citations, and an h-index of 24, indicating sustained publication activity and measurable academic visibility within indexed research literature and scholarly databases.[1] [2]

Research Contributions

The stated research specialization focuses on developing new modification methods for agricultural waste materials. Such work can contribute to understanding how treatment or modification influences material characteristics, functionality, and potential utilization. From an academic perspective, this research direction supports investigation of resource-derived materials while encouraging approaches that connect scientific experimentation with sustainable material development and innovation.[1]

Publications

The researcher’s indexed publication record comprises 51 documents according to the supplied Scopus profile information. Individual publication titles, journals, years, citation histories, and digital identifiers should be verified directly against authoritative bibliographic records before formal citation. Where applicable, DOI identifiers provide persistent access to individual scholarly publications and support accurate bibliographic verification across academic databases.[1] [3]

Research Impact

Bingöl’s reported bibliometric indicators include 1,891 citations and an h-index of 24, offering quantitative measures of scholarly visibility and citation influence. These indicators should be interpreted alongside publication quality, research originality, collaboration, and disciplinary context rather than independently. Together, the available metrics indicate an established research presence within indexed academic literature and scholarly communication.[1]

Award Suitability

The Innovative Research Award can be considered in relation to Bingöl’s research focus, documented publication activity, and work involving modification methods for agricultural waste materials. The combination of a defined innovation-oriented subject area and established bibliometric record provides relevant evidence for consideration. Final recognition should remain dependent on the award’s official evaluation criteria and submitted supporting documentation.[1]

Conclusion

Deniz Bingöl presents a documented academic profile connected with Kocaeli University and research concerning innovative modification methods for agricultural waste materials. The reported record of 51 documents, 1,891 citations, and an h-index of 24 provides measurable evidence of scholarly activity. These characteristics support consideration for recognition while maintaining appropriate academic verification standards.[1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Deniz Bingöl, Author ID 6506971252. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=6506971252

  2. ORCID. (n.d.). ORCID record: Deniz Bingöl. ORCID.

    https://orcid.org/0000-0002-9396-2422

  3. Google Scholar. (n.d.). Deniz Bingöl — Google Scholar profile.

    https://scholar.google.com.tr/citations?user=R_4iEIkAAAAJ&hl=tr&oi=ao

Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

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Dr. Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

Tamil Nadu Agricultural University | India

Dr. R. Gangai Selvi, M.Sc., M.Phil., Ph.D., is a distinguished Professor of Statistics in the Department of Physical Sciences and Information Technology at the Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University (TNAU), Coimbatore, known for her exemplary contributions to teaching, research, and academic development. She holds a Ph.D. in Econometrics from TNAU, an M.Phil. and M.Sc. in Statistics, and a B.Sc. from PSG College of Arts and Science, along with a Diploma in Computer Applications and certifications in programming, reflecting a strong foundation in both statistical theory and computational methods. Dr. Gangai Selvi’s areas of specialization encompass Econometrics, Spatial Econometrics, Applied Statistics, Design of Experiments, Data Analytics, Biostatistics, and Statistical Methods, complemented by her proficiency in statistical software including R, SAS, SPSS, SYSTAT, and STATA. She has developed innovative ICT-based learning tools, most notably the “TNAU Statistics Quiz” Android Mobile App and its corresponding software version, both officially recognized with copyrights for their contribution to student learning and competitive exam preparation, including ICAR and other agricultural examinations. In addition, she has mentored numerous students in technology-enhanced education initiatives, guided mobile app development projects, and created educational YouTube content to support interactive learning. Her teaching portfolio spans undergraduate, postgraduate, and doctoral courses, covering a wide range of topics such as Applied Statistics, Statistical Methods, Design of Experiments, Statistical Inference, Sampling Techniques, Econometrics, Biostatistics, Multivariate Analysis, Regression Analysis, and Statistical Quality Control, reflecting her commitment to cultivating analytical and research skills among students. Her research experience includes serving as Principal Investigator and Co-Principal Investigator on major projects, focusing on areas such as big data analytics, crop yield prediction, agricultural variability, and spatial econometric modeling, with outcomes contributing significantly to the field of agricultural statistics. Dr. Gangai Selvi’s scholarly work, combined with her innovative approach to education and technology integration, establishes her as a respected academic, educator, and thought leader in statistical and econometric research.

Profiles: Google Scholar | Orcid

Featured Publications

Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

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Mr. Khurshid Hussain | Artificial Intelligence in Statistics | Research Excellence Award

Kiost | South Korea

Mr. Khurshid Hussain is a dynamic researcher whose work spans advanced automotive engineering, semiconductor design, integrated sensing and communications, and AI-driven signal processing, establishing him as a multidisciplinary contributor across next-generation wireless, cybersecurity, and intelligent vehicular systems. He holds a Master’s degree in Advanced Automotive Engineering from Sun Moon University, South Korea, where he specialized in high-performance millimeter-wave circuit design with emphasis on 60 GHz digital variable-gain amplifiers, beamforming architectures, low-power attenuators, and chip-level ISAC systems for secure and intelligent communication. His research extends into geomatics and remote sensing, focusing on multimodal mapping using optical, SAR, and LiDAR streams, change detection, 3D reconstruction, and uncertainty-aware geospatial pipelines, alongside self-supervised and weak-supervised learning approaches for large-scale spatial data modeling. He is the inventor of a patented transistor-array-based variable attenuator and has authored an expanding collection of peer-reviewed publications in leading journals such as Electronics, IEEE Access, Applied Sciences, and IEEE Transactions, addressing topics ranging from radar–communication co-design and ultrasonic 3D beamforming sensors to predictive maintenance of aerospace components, OTFS-based V2X ISAC architectures, and AI-enhanced signal intelligence. His scholarly profile includes 9 documents, 77 citations, and an h-index of 4, reflecting his growing influence in mmWave IC design, wireless sensing, and AI-integrated communication. Khurshid has delivered technical presentations at major international conferences covering maritime IT convergence, high-frequency amplifier design, battery analytics, advanced beamforming, and power-efficient RF front-end systems. His expertise spans Cadence, HFSS, Python, MATLAB, OrCAD, cybersecurity tools, and vector network analyzers, reinforced by experience in transceiver integration, AI-chip convergence, intrusion detection systems, battery research, and embedded engineering. Earlier, he completed his B.Sc. in Electrical Engineering with a focus on IoT-based renewable-energy automation, where he developed sensor-driven, cloud-connected, and energy-efficient systems. Fluent in English and active in multicultural environments, Khurshid is known for his creativity, leadership, communication skills, and passion for innovation, continually advancing secure, intelligent, and energy-efficient technologies for the automotive, wireless, and sensing industries.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Hussain, K., & Yoo, J. (2025). Low-latency marine-based OTFS echo parameter estimation enabled by AI. Sensors, 25(23), Article 7104. DOI: 10.3390/s25237104

Hussain, K., Ali, E. M., Hussain, W., Raza, A., & Elkamchouchi, D. H. (2025). Robust OTFS-ISAC for vehicular-to-base station end-to-end sensing and communication. Electronics, 14(21), Article 4340. DOI: 10.3390/electronics14214340

Hussain, K., Jeon, W., Lee, Y., Song, I., & Oh, I. (2025). CMOS-compatible ultrasonic 3D beamforming sensor system for automotive applications. Applied Sciences, 15(16), Article 9201. DOI: 10.3390/app15169201

Hussain, K., & Oh, I. (2024). Joint radar, communication, and integration of beamforming technology. Electronics, 13(8), Article 1531. DOI: 10.3390/electronics13081531

Hussain, K., & Oh, I. (2024). Review of joint radar, communication, and integration of beam-forming technology. Preprint. DOI: 10.20944/preprints202404.0208.v1

Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

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Prof. Dr. Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

Suleyman Demirel University | Turkey

Prof. Dr. Fatih Ucun is a distinguished physicist specializing in atomic and molecular physics, with expertise in electron paramagnetic resonance (EPR), nuclear magnetic resonance (NMR), and infrared (IR) spectroscopy. He completed his B.Sc. and M.Sc. in Physics at Atatürk University and earned his Ph.D. from Ondokuz Mayıs University. He is a full professor in the Department of Physics at Suleyman Demirel University in Isparta, Turkey. Prof. Ucun has made significant contributions to computational chemistry, molecular modeling, and quantum mechanics, bridging theoretical insights with practical applications in material science and nanotechnology through pioneering studies on molecular electronic structures and quantum chemical simulations. He has authored 91 publications, cited 883 times, and holds an h-index of 16, reflecting his substantial impact in the field. In addition to his research, he has published four books and serves on editorial boards of scientific journals, demonstrating his leadership and influence in the academic community. His work has advanced the understanding of atomic-level interactions and energy transfer mechanisms, while mentoring future scientists and enriching scientific progress in physical chemistry and computational modeling.

Profiles: Scopus | Google Scholar 

Featured Publications

Ucun, F., Isik, Y. E., & Tiryaki, O. (2025). An approach to description of isotropic hyperfine interaction constants in the fluorinated nitrobenzene and nitrophenol radical anions: DFT calculations vs. experiment. Russian Journal of Physical Chemistry A, 99, 2498–2505.

Yolburun, H., & Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F., & Alakuş, N. (2022). Enthalpies and activation energies of several gas reactions by intrinsic reaction coordinate (IRC) calculations. El-Cezeri, 9(2), 576–583.

Ucun, F., & Küçük, S. (2022). Triafulvalen, pentafulvalen ve heptafulvalenin katyon ve anyon radikallerinin EPR aşırı ince-yapı yapıları: Bir teorik çalışma. Süleyman Demirel University Faculty of Arts and Science Journal of Science.

Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

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Assoc Prof. Dr. Yongsheng Wang | Descriptive and Inferential Statistics | Excellence in Research Award

Taiyuan University of Technology | China

Assoc Prof. Dr. Yongsheng Wang is an Associate Professor in the College of Materials Science & Engineering at Taiyuan University of Technology, China. His research focuses on alloy materials and coating design, fabrication, and characterization, including high-entropy alloys, additive manufacturing, diamond coatings, and surface treatments. He obtained his Ph.D. from the University of Science & Technology Beijing and completed postdoctoral research at Beihang University, with a visiting scholar experience at Purdue University, United States. Dr. Wang has made significant contributions to the development of advanced alloy systems and surface engineering technologies. He has published over 60 peer-reviewed scientific papers in reputed international journals, authored several high-impact studies on metallic glass composites, Ti-based alloys, and high-entropy materials, and holds nine patents, including one granted in the United States. His work has received multiple financial supports from the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, the Shanxi Provincial Natural Science Foundation, and the State Key Laboratory of Advanced Metal Materials. With an impressive h-index of 18, over 1,013 citations, and approximately 91 research documents, his research has established him as a leading expert in materials science. Dr. Wang’s technical expertise covers a wide range of experimental techniques such as scanning electron microscopy, X-ray diffraction, nanoindentation, and additive manufacturing, contributing to the understanding and optimization of mechanical properties, microstructures, and performance of next-generation alloy materials.

Profiles: Scopus | Orcid 

Featured Publications

Qi, J., Wu, Y., Zhang, C., Yu, S., Wang, Y., Liu, Y., & Hei, H. (2025). Ultraviolet photodetector of TiO₂ film in different phase on various substrates. Ceramics International.

Mu, Y., Liang, Y., Sheng, J., Zhang, C., Guo, Z., Yang, G., Sun, T., Wang, Y., & Lin, J. (2025). A novel approach to coating for improving the comprehensive high-temperature service performance of TiAl alloys. Journal name, volume(issue), page range.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Microstructural evolution and densification behavior of high-Nb TiAl produced by powder forging.

Sun, D., Wang, H., Wang, Y., Guo, Y., Liang, Y., & Lin, J. (2025). Low-temperature deposition of CVD diamond films on HfNbTaMo medium entropy alloy: Morphology, process and wear properties. Surface and Coatings Technology, 509, 130887.

Wang, Y., Hou, M., Huang, Z., Xu, Y., Tan, C., & Xiao, H. (2025). Effect of heat treatment on microstructure and mechanical properties of a new alpha-titanium alloy Ti-6.0Al-3.0Zr-0.5Sn-1.0Mo-1.5Nb-1.0V. Journal of Materials Engineering and Performance, 34, 12348–12358.

Tushar Bhoite | Bayesian Networks and Decision Theory | Best Researcher Award

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Dr. Tushar Bhoite | Bayesian Networks and Decision Theory | Best Researcher Award

Dr. Tushar Bhoite | MES’s Wadia College of Engineering | India

Dr. Tushar Devidas Bhoite, Ph.D. in Mechanical Technology, M.E. in Machine Design, with over sixteen years of professional experience (including twelve in the automobile industry and four in academics), is a leading researcher and practitioner in integrating advanced IT technologies in auto-component manufacturing. His research interests encompass Industry 4.0, Industrial Internet of Things (IIoT), Digital Twin systems, Generative AI, predictive maintenance, neural and Bayesian networks, real-time monitoring, optimization and efficiency improvements in production environments. To date, he has authored 6 international journal papers and 3 international conference papers, co-authored 2 textbooks, and filed 2 patents, contributing to both theoretical and applied advancements. His master’s project, awarded from RGSTC Mumbai, stands as a landmark in his research portfolio, he has an h-index of 1 and over 1 citations as per his Scopus profile, reflecting strong scholarly impact. In his industrial roles, Dr. Bhoite has successfully led IOT implementations in assembly and press shops, improved Overall Equipment Effectiveness, standardized work systems, deployed TPM and Kaizen methodologies, and developed innovative solutions such as a wet-waste treatment machine. He currently serves as Assistant Professor in Automation & Robotics Engineering at MES’s Wadia College of Engineering, Pune, and continues consulting in production efficiency, resource optimization, and technology integration in manufacturing enterprises.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Bhoite, T. D., Pawar, P. M., & Gaikwad, B. D. FEA based study of effect of radial variation of outer link in a typical roller chain link assembly. International Journal of Mechanical and Industrial Engineering, 1, 65–70.

Bhoite, T. D., & Buktar, R. B. (2025). Productivity enhancement in Indian auto component manufacturing supply chain with IoT using neural networks. Production, 35, e20240047.

Bhoite, T. D., Buktar, R. B., Mahalle, P. N., Khond, M. P., Pise, G. S., & More, Y. Y. (2025). Productivity enhancement in the Indian auto component manufacturing supply chain through IoT, digital twins with generative AI, and stacked encoder-enhanced neural networks. Operations Research Forum, 6(4), 143.

Bhoite, D. T., & Buktar, R. (2025). An investigation into revolutionizing auto component manufacturing: An IoT-based approach for improved productivity and waste elimination. Journal of Information Systems Engineering and Management, 10(9s), 409–429.

Bhoite, D. T., Buktar, R., & Kannukkadan, G. (2024). Leveraging IoT in auto component manufacturing to monitor surface roughness and tool temperature. Journal of Electrical Systems, 20(2s), 563–574.*

Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

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Prof. Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Prof. Ching Chih Tsai |  National Chung Hsing University | Taiwan

Prof. Ching Chih Tsai is a distinguished academic in electrical engineering and control systems, currently serving as a Life Distinguished Professor at the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taiwan. He earned his Ph.D. from Northwestern University in 1991. Dr. Tsai has held significant leadership roles, including serving as the President of the Chinese Automatic Control Society (CACS), the Robotics Society of Taiwan (RST), and the International Fuzzy Systems Association (IFSA). He has also been a Board of Governors member of IEEE Systems, Man, and Cybernetics Society (SMCS) and is currently the Dean of the College of Electrical Engineering and Computer Science at NCHU. An IEEE Fellow, his research focuses on intelligent control systems, mobile robotics, and automation intelligence. Dr. Tsai has published over 700 technical articles, with more than 20 in the International Journal of Fuzzy Systems since 2005. His recent work includes a 2025 paper on intelligent adaptive formation control for multi-quadrotors, introducing a hybrid controller combining Output Recurrent Fuzzy Broad Learning Systems (ORFBLS), reinforcement learning, and adaptive backstepping sliding mode control. According to Scopus, he has an h-index of 29, with 3,902 citations from 272 documents.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Two-layer intelligent learning control using output recurrent fuzzy neural long short-term memory broad learning system with RMSprop. IEEE Access.

Tsai, C.-C., Hung, C.-C., Mao, C.-F., Wu, H.-S., & Chen, C.-H. (2025). Fuzzy neural LSTM-RBLS for fractional-order PID sliding-mode motion control of autonomous mobile robots with four ISID wheels. International Journal of Fuzzy Systems.

Tsai, C.-C., Mao, C.-F., & Hussain, K. (2025). Intelligent adaptive formation control using ORFBLS and reinforcement learning for uncertain tilting multi-quadrotors. International Journal of Fuzzy Systems. =

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Intelligent MIMO ORFBLS-based setpoint tracking control with its application to temperature control of an industrial extrusion barrel. International Journal of Fuzzy Systems.

Tsai, C.-C., Huang, H.-C., Chen, H.-Y., Hung, C.-C., & Chen, S.-T. (2024). Intelligent collision-free formation control of ball-riding robots using output recurrent broad learning in industrial cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems.

Mr. Abhay Kumar | Design of Experiments (DOE) | Best Researcher Award- 11390

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Mr. Abhay Kumar | Design of Experiments (DOE) | Best Researcher Award

Mr. Abhay Kumar | Sardar Vallabhbhai National Institute of technology | India

Dr. Abhay Kumar is a Ph.D. Research Scholar and Senior Consultant at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, specializing in Environmental Engineering with a particular focus on solid and liquid waste management. With over 3.5 years of professional experience, he has successfully managed and executed a wide range of projects, including solid waste management, wastewater treatment, waste-to-energy solutions, plastic and legacy waste handling, leachate treatment, and agricultural waste utilization. He has significantly contributed to the development of patented technologies and innovative methodologies for scientific disposal and treatment of industrial and municipal wastes. Dr. Kumar has published numerous research papers in highly reputed journals and international conferences, with an h-index of 1 and a total of approximately 2 citations, reflecting the impact and recognition of his scholarly work in the field of environmental engineering. Beyond his research, he is actively involved in community development initiatives under the Unnat Bharat Abhiyan, implementing sustainable waste management practices in rural areas near Surat. His professional expertise includes environmental impact assessments, preparation of detailed project reports (DPRs), stakeholder engagement, technical supervision, and capacity building. Dr. Kumar is committed to advancing sustainable and practical solutions in waste management while bridging the gap between research, policy, and field implementation to promote environmental sustainability.

Profiles: Scopus | Orcid | LinkedIn

Featured Publications

Kumar, A., Yadav, K., & Kumar, S. Comprehensive review on technological advances in landfill leachate management: Physio-chemical characteristics, treatment method and cost analysis. Bioresource Technology Reports, 102222.

Kumar, A., Bhatt, A. D., & Yadav, K. D. Sequential treatment of MSW landfill leachate by primary treatment followed by gravel and ZVI filter media as filter technique. In P. Janardhan, P. Choudhury, & D. N. Kumar (Eds.), Water and Environment, Volume 2. ICWROEE 2024. Lecture Notes in Civil Engineering (Vol. 414). Springer, Singapore.

Kumar, A., & Yadav, K. D. Combined treatment of hazardous waste landfill leachate through electrocoagulation followed by UV process. Paper presented at the 1st International Conference on Environmental Science and Technology 2024, NIT Surat.

Kumar, A., Yadav, K. D., & Kumar, S. MSW landfill leachate color removal by using coagulation and flocculation followed by filtration processes. Paper presented at the International Symposium on Sustainable Waste Management 2023, Department of Mechanical Engineering, Institute of Engineering & Management, Kolkata.

Kumar, A., Jain, P., Mishra, S., & Yadav, K. D. Effect of turbulence on settlement rate of cohesive sediments. Paper presented at the 55th IWWA Annual Convention, Pune.