Antonio Pucciarelli | Engineering | Best Researcher Award

Published on by Top Teachers

Best Researcher Award

Antonio Pucciarelli
SoftInWay Inc, Italy

Antonio Pucciarelli
Affiliation SoftInWay Inc.
Country Italy
Scopus ID 36874499500
Documents 2
Citations 18
h-index 2
Subject Area Engineering
Event Top Teachers Awards

Antonio Pucciarelli is a researcher whose scholarly work has contributed to the understanding of cardiovascular pharmacology and the metabolic consequences of antihypertensive therapies. His documented scientific output reflects engagement with multidisciplinary investigations involving cardiovascular medicine, metabolic regulation, and clinical research. Through collaborative publications and participation in peer-reviewed scientific studies, Pucciarelli has contributed to evidence-based discussions concerning patient outcomes and therapeutic interventions in essential hypertension.[1]

Abstract

This article evaluates Antonio Pucciarelli’s academic contributions in relation to the Best Researcher Award. His publication record demonstrates participation in clinically relevant investigations focusing on cardiovascular pharmacology and metabolic outcomes associated with antihypertensive treatment. The assessment considers publication activity, scholarly influence, collaborative research efforts, and relevance to contemporary healthcare challenges.[2]

Keywords

Cardiovascular Pharmacology, Essential Hypertension, Metabolic Effects, Clinical Research, Engineering, Scientific Contributions, Research Excellence, Best Researcher Award.

Introduction

Research addressing cardiovascular disorders remains a significant component of modern healthcare innovation. Antonio Pucciarelli’s work is associated with investigations examining how combined antihypertensive therapies influence metabolic responses in patients diagnosed with essential hypertension. Such studies contribute to a broader understanding of treatment optimization and patient-centered clinical decision-making.[3]

Research Profile

According to available scholarly metrics, Antonio Pucciarelli has an indexed publication profile with documented citations and measurable academic influence. His work appears within peer-reviewed scientific literature and demonstrates engagement with interdisciplinary collaborations involving clinicians, pharmacologists, and biomedical researchers.[1]

Research Contributions

  • Contributed to studies evaluating metabolic effects of antihypertensive treatment strategies.
  • Participated in collaborative cardiovascular pharmacology research.
  • Supported evidence-based assessment of therapeutic outcomes in hypertension management.
  • Contributed to scientific literature relevant to patient care and treatment optimization.

Publications

  • Galvan AQ, Pucciarelli A, Ciociaro D, Natali A, Ferrannini E. Metabolic effects of combined antihypertensive treatment in patients with essential hypertension. Journal of Cardiovascular Pharmacology, 2002.[4]
  • Additional indexed scholarly contributions reflected within the Scopus author profile.[1]

Research Impact

The measurable citation record associated with Pucciarelli’s publications indicates continued scholarly engagement with his work. Research concerning hypertension and metabolic health remains relevant to healthcare systems worldwide, enhancing the practical significance of studies addressing therapeutic effectiveness and patient outcomes.[5]

Award Suitability

Antonio Pucciarelli demonstrates characteristics commonly considered in academic recognition programs, including participation in peer-reviewed research, documented citation activity, interdisciplinary collaboration, and contributions to clinically relevant scientific knowledge. These attributes align with evaluation criteria frequently applied to research excellence awards and scholarly achievement recognitions.[6]

Conclusion

Antonio Pucciarelli’s scholarly contributions, particularly within cardiovascular pharmacology and hypertension-related research, provide a foundation for consideration in the Best Researcher Award category. His participation in peer-reviewed investigations and documented academic impact support recognition of his role in advancing scientific understanding within his field.

References

  1. Elsevier. (n.d.). Scopus author details: Antonio Pucciarelli, Author ID 36874499500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36874499500
  2. Research assessment methodologies and scholarly impact indicators used in academic evaluation.
  3. Journal of Cardiovascular Pharmacology. (2002). Metabolic effects of combined antihypertensive treatment in patients with essential hypertension.
  4. Galvan AQ, Pucciarelli A, Ciociaro D, Natali A, Ferrannini E. (2002). Journal of Cardiovascular Pharmacology.
  5. Literature concerning hypertension management, cardiovascular outcomes, and metabolic health.
  6. Top Teachers Awards. (n.d.). Award evaluation and recognition framework.
    topteachers.net

Seyyedmorteza Ghamari | Engineering | Best Researcher Award

Published on by Top Teachers

Best Researcher Award

Seyyedmorteza Ghamari
Edith Cowan University, Australia

Seyyedmorteza Ghamari
Affiliation Edith Cowan University
Country Australia
Scopus ID 57220131139
Documents 32
Citations 645
h-index 15
Subject Area Engineering
Event Top Teachers Awards
Google Scholar ID IUT6xloAAAAJ

Seyyedmorteza Ghamari is an engineering researcher affiliated with Edith Cowan University, Australia, whose scholarly work focuses on advanced control systems, power electronics, intelligent optimization algorithms, and electric vehicle energy technologies. Through a portfolio of peer-reviewed publications and engineering innovations, he has contributed to the development of adaptive control methodologies that integrate transfer learning, reinforcement learning, fractional-order control, and metaheuristic optimization techniques. His research activity has generated measurable academic influence, reflected by a substantial citation record and an established h-index, demonstrating sustained engagement within the international engineering research community.[1]

Abstract

This article presents an overview of the academic achievements and engineering contributions of Seyyedmorteza Ghamari. His research emphasizes intelligent control strategies for power electronic converters, electric drives, and energy-efficient systems. By combining deep learning, transfer learning, reinforcement learning, and advanced optimization methods, he has developed innovative control frameworks that enhance system stability, efficiency, and robustness under varying operating conditions. His scholarly output contributes to emerging developments in smart energy systems and next-generation electrical engineering technologies.[2]

Keywords

Power Electronics, Transfer Learning, Reinforcement Learning, Brushless DC Motors, Fractional-Order Control, Electric Vehicles, Intelligent Optimization, Engineering Research.

Introduction

The increasing demand for efficient energy conversion and intelligent automation has encouraged the integration of artificial intelligence into control engineering. Seyyedmorteza Ghamari has contributed to this interdisciplinary field through investigations into adaptive controllers, machine learning-assisted optimization, and robust power electronic systems. His work addresses practical engineering challenges while maintaining a strong theoretical foundation, thereby supporting both industrial applications and academic advancement.[3]

Research Profile

Seyyedmorteza Ghamari’s research profile is characterized by expertise in control systems, electric drives, renewable energy technologies, and computational intelligence. His publications demonstrate a consistent focus on improving system performance through advanced learning algorithms and adaptive control methodologies. The combination of engineering theory and practical validation techniques, including hardware-in-the-loop experimentation, highlights the applied significance of his research activities.[1]

Research Contributions

  • Development of hybrid deep transfer learning controllers for DC–DC boost converters.
  • Research on adaptive fractional-order super-twisting sliding mode control for motor speed regulation.
  • Integration of reinforcement learning and optimization algorithms into intelligent control architectures.
  • Design and validation of power factor correction systems for electric vehicle applications.
  • Advancement of hardware-in-the-loop validation methodologies for engineering systems.

Publications

  • A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced by Grey Wolf Optimization for DC–DC Boost Converters With Hardware-in-Loop Validation (2026).
  • A Novel Hybrid Robust Transfer Learning-Based Adaptive Fractional-Order Super-Twisting Sliding Mode Controller for Brushless DC Motors (2026).
  • Deep Transfer Learning-Based Adaptive Cascade PI Controller Enhanced by Reinforcement Learning and Snake Optimization (2026).
  • Robust Cascade Fractional-Order PI-Sliding Mode Controller for Boost Rectifier Power Factor Correction (2025).
  • Adaptive Cascade Fractional-Order PID Controller Enhanced by Reinforcement Learning for Speed Regulation Applications (2025).

Research Impact

With 32 indexed publications, 645 citations, and an h-index of 15, Seyyedmorteza Ghamari has established a notable academic footprint within engineering research. His publications contribute to ongoing discussions concerning intelligent energy systems, advanced motor control, and optimization-driven automation. The citation performance of his work indicates recognition by researchers working in related fields of power electronics and control engineering.[1]

Award Suitability

The Best Researcher Award recognizes individuals who demonstrate scholarly productivity, research quality, innovation, and measurable academic impact. Seyyedmorteza Ghamari’s publication record, interdisciplinary research scope, and contributions to intelligent control technologies align with these criteria. His work reflects sustained efforts toward advancing engineering knowledge and practical technological development through rigorous scientific investigation.[4]

Conclusion

Seyyedmorteza Ghamari has contributed to contemporary engineering research through studies that integrate artificial intelligence, optimization methods, and advanced control theory. His work supports the development of efficient and reliable energy systems while addressing emerging technological challenges. The combination of scholarly productivity, citation impact, and practical engineering relevance supports his recognition within the framework of the Best Researcher Award.

References

  1. Elsevier. (n.d.). Scopus author details: Seyyedmorteza Ghamari, Author ID 57220131139. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57220131139
  2. Ghamari, S.M., Aziz, A. (2026). A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced by Grey Wolf Optimization for DC–DC Boost Converters.
    https://doi.org/10.1002/2051-3305.70263
  3. Ghamari, S.M., Aziz, A., Habibi, D. (2026). Adaptive Fractional-Order Super-Twisting Sliding Mode Controller Research.
    https://doi.org/10.1002/cta.70129
  4. Top Teachers Awards. (n.d.). Best Researcher Award Evaluation Framework.
    https://topteachers.net/
  5. Ghamari, S.M., Ghahramani, M., Habibi, D., Aziz, A. (2025). Adaptive Cascade Fractional-Order PID Controller Enhanced by Reinforcement Learning.
    https://doi.org/10.3390/en18195056

Amy Cerato | Engineering | Best Researcher Award

Published on by Top Teachers

Best Researcher Award

Amy Cerato
University of Oklahoma

Amy Cerato
Affiliation University of Oklahoma
Country United States
Scopus ID 6508388588
Documents 74
Citations 2438
h-index 26
Subject Area Engineering
Event Top Teachers Awards
ORCID 0000-0002-5377-7767

Amy Cerato is an engineering researcher affiliated with the University of Oklahoma whose scholarly work has contributed significantly to the fields of geotechnical engineering, soil stabilization, expansive soil behavior, and infrastructure materials characterization. Through a substantial publication record, strong citation impact, and sustained research productivity, Amy Cerato has established a recognized profile in engineering research. Her investigations integrate laboratory experimentation, field applications, microstructural analysis, and advanced characterization techniques to improve understanding of soil performance and infrastructure resilience. The academic contributions of Amy Cerato demonstrate a commitment to advancing practical engineering solutions while expanding scientific knowledge in transportation and geotechnical engineering disciplines.[1]

Abstract

Amy Cerato has developed a research portfolio focused on geotechnical materials, expansive soils, stabilization technologies, and engineering applications for transportation infrastructure. The research integrates laboratory-based investigations with field-oriented methodologies, enabling the development of practical solutions for soil improvement and performance assessment. Recent studies have explored soil microstructure evolution, portable X-ray fluorescence applications, and characterization techniques for chemically treated soils, contributing to both theoretical understanding and engineering practice.[2]

Keywords

Geotechnical Engineering, Expansive Soils, Soil Stabilization, Infrastructure Engineering, X-ray Fluorescence, Environmental Scanning Electron Microscopy, Transportation Geotechnics, Materials Characterization.

Introduction

Engineering infrastructure depends heavily on the behavior and long-term performance of soils. Amy Cerato has contributed to this field through investigations that address challenges associated with expansive soils, stabilization treatments, and material characterization. By combining advanced laboratory techniques with engineering analysis, Amy Cerato has helped improve understanding of soil mechanics and infrastructure sustainability. The resulting body of work supports improved engineering decision-making and contributes to safer and more resilient civil engineering systems.[3]

Research Profile

According to available scholarly metrics, Amy Cerato has authored more than seventy indexed publications and accumulated over two thousand citations, reflecting substantial visibility within the engineering research community. With an h-index of 26, the research profile demonstrates sustained influence across multiple areas of geotechnical engineering. The work spans soil stabilization, environmental geotechnics, transportation infrastructure, and advanced analytical methods for material characterization.[1]

Research Contributions

Amy Cerato has contributed to the understanding of expansive soil behavior under varying environmental conditions and has advanced the use of modern analytical tools for soil assessment. Research examining suction hysteresis through Environmental Scanning Electron Microscopy has provided insights into microstructural evolution in expansive soils. Additional studies have focused on rapid field detection of calcium-based stabilizers using portable X-ray fluorescence technologies and quantification methods for gypsum content in soils. These investigations support more efficient and accurate approaches to geotechnical evaluation and infrastructure management.[2][4]

Publications

  • Microstructural Evolution of Expansive Soils Under Suction Hysteresis Using Environmental Scanning Electron Microscopy (ESEM), Geotechnics (2026).
  • Rapid Field Detection of Calcium-Based Stabilizers in Soils via Portable X-ray Fluorescence Spectrometry, Transportation Geotechnics (2024).
  • Comparison of Whole Rock XRF and Portable XRF for Quantifying Calcium-Based Stabilizers in Chemically Treated Soil, Transportation Infrastructure Geotechnology (2024).
  • Using Fractal Geometry Theory to Quantify Pore Structure Evolution and Particle Morphology of Stabilized Kaolinite, Journal of Materials in Civil Engineering (2024).

Research Impact

The research impact of Amy Cerato is reflected through extensive citation activity and the continued relevance of published studies within geotechnical engineering. The adoption of analytical methodologies involving portable XRF technologies and microstructural characterization techniques has enhanced engineering assessment capabilities. These contributions support infrastructure planning, construction quality assurance, and sustainable management of soil resources across diverse engineering applications.[5]

Award Suitability

Amy Cerato demonstrates several characteristics associated with recognition through the Best Researcher Award. These include a strong publication record, measurable citation impact, interdisciplinary engineering contributions, and continued advancement of practical research applications. The combination of scientific rigor and engineering relevance illustrates a sustained commitment to research excellence and knowledge dissemination within the global academic community.[1]

Conclusion

Amy Cerato has established a distinguished academic profile through contributions to geotechnical engineering, soil stabilization research, and infrastructure-related investigations. The combination of influential publications, substantial citation performance, and innovative methodologies highlights the significance of the research portfolio. Through continued scholarly activity and practical engineering applications, Amy Cerato remains an important contributor to the advancement of engineering science and professional practice.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Amy Cerato, Author ID 6508388588. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6508388588
  2. Cerato, A. et al. (2026). Microstructural Evolution of Expansive Soils Under Suction Hysteresis Using Environmental Scanning Electron Microscopy (ESEM). Geotechnics.
    DOI: https://doi.org/10.3390/geotechnics6020056
  3. Cerato, A. et al. (2024). Rapid Field Detection of Calcium-Based Stabilizers in Soils via Portable X-ray Fluorescence Spectrometry. Transportation Geotechnics.
    DOI: https://doi.org/10.1016/j.trgeo.2024.101446
  4. Cerato, A. et al. (2024). Comparison of Whole Rock XRF and Portable XRF for Quantifying Calcium-Based Stabilizers in Chemically Treated Soil. Transportation Infrastructure Geotechnology.
    DOI: https://doi.org/10.1007/s40515-024-00409-3
  5. Cerato, A. et al. (2024). Using Fractal Geometry Theory to Quantify Pore Structure Evolution and Particle Morphology of Stabilized Kaolinite. Journal of Materials in Civil Engineering.
    DOI: https://doi.org/10.1061/JMCEE7.MTENG-17391
  6. Cerato, A. et al. (2024). Quantification of Gypsum in Soils via Portable X-ray Fluorescence Spectrometry. Geotechnical Testing Journal.
    DOI: https://doi.org/10.1520/GTJ20230480

Ui Wook Hwang | Biology and Life Sciences | Research Excellence Award

Published on by Top Teachers

Research Excellence Award

Ui Wook Hwang
Kyungpook National University, South Korea
Ui Wook Hwang
Affiliation Kyungpook National University
Country South Korea
Scopus ID 35074015800
Documents 134
Citations 2117
h-index 26
Subject Area Biology and Life Sciences
Event Top Teachers Awards
ORCID 0000-0002-9735-8716
Google Scholar 5YycGS0AAAAJ

Ui Wook Hwang is a senior academic researcher and professor affiliated with the Department of Biology and the Department of Advanced Bioconvergence at Kyungpook National University, South Korea. His scholarly work primarily focuses on molecular phylogenetics, evolutionary biology, zoology, mitochondrial genomics, and biodiversity research. His academic profile demonstrates sustained contributions to biological sciences through publication activity, institutional leadership, international collaboration, and scientific service within Korea and the broader international research community.[1]

Abstract

This article presents an academic overview of the professional achievements, research contributions, and scholarly activities of Ui Wook Hwang of Kyungpook National University. His research portfolio encompasses molecular evolution, mitochondrial genomics, phylogenetics, marine biology, zoology, and biodiversity science. The profile also highlights his institutional leadership roles, publication record, international collaborations, and participation in scientific organizations relevant to the biological sciences community.[1]

Keywords

Molecular phylogenetics, evolutionary biology, mitochondrial genomics, zoology, biodiversity science, marine biology, taxonomy, genomic epidemiology, biological systematics, phylogeography.

Introduction

Ui Wook Hwang has maintained a multidisciplinary academic career centered on evolutionary biology and molecular systematics. His research activities integrate genomic analysis, biodiversity investigation, and evolutionary interpretation within zoological and biological sciences. In addition to scientific publication activities, he has held numerous academic leadership positions at Kyungpook National University and within national scientific organizations in the Republic of Korea.[2]

His academic development includes international scholarly experience as a visiting scholar at Harvard University and research training in Germany. These experiences contributed to the development of an internationally engaged research profile emphasizing molecular evolution and comparative genomics.[3]

Research Profile

The academic profile of Ui Wook Hwang demonstrates sustained engagement in higher education, research administration, and scientific leadership. His professional positions include Full Professor and Chair of the Department of Biology at Kyungpook National University, Chair of the Department of Advanced Bioconvergence, Director of the Institute for Phylogenomics and Evolution, and Director of the Korea Herb-Bio Convergence Promotion Institute.[2]

  • Full Professor and Chair, Department of Biology, Kyungpook National University.
  • Chair, Department of Advanced Bioconvergence, Graduate School, Kyungpook National University.
  • Director, BK21 Four KNU Center for Innovative One-Health Leaders.
  • President, The Malacological Society of Korea.
  • Former President, Korean Society of Systematic Zoology.

Research Contributions

The research contributions of Ui Wook Hwang are associated with molecular phylogenetics, mitochondrial genome evolution, marine biodiversity, and evolutionary genomics. His work has contributed to the understanding of species evolution, phylogeographic patterns, and genomic diversity across marine and terrestrial organisms.[4]

His publications include studies on mitochondrial genome evolution in parasitic barnacles, molecular population genetics in East Asian marine species, and genomic analysis of mosquito vectors. Several studies have appeared in internationally indexed journals including Nature, Molecular Biology and Evolution, and Frontiers in Marine Science.[5]

  • Research on mitochondrial genome-based systematics and evolution.
  • Studies concerning marine biodiversity and zoological taxonomy.
  • Comparative genomic investigations in parasitic and marine organisms.
  • Scientific communication related to global bioinformatics and genomic epidemiology.

Publications

Ui Wook Hwang has contributed extensively to molecular phylogenetics, mitochondrial genomics, marine biodiversity, and evolutionary biology through publications in internationally recognized scientific journals. His research explores genomic evolution, phylogeographic diversity, and biological systematics, supporting ongoing advancements in zoological and evolutionary science while strengthening interdisciplinary understanding within contemporary biological research.[4]

  1. Morphology and mitochondrial genome-based analysis of the systematics and evolution of Acanthochitona species. Marine Life Science & Technology, 2026. DOI: https://link.springer.com/article/10.1007/s42995-026-00362-9
  2. Evolutionary insights from complete mitochondrial genomes of Aedes albopictus and Culex pipiens molestus. Animal Cells and Systems, 2026. DOI: https://doi.org/10.1080/19768354.2026.2620255
  3. Accelerated mitochondrial genome evolution in parasitic barnacles driven by adaptive and non-adaptive responses. Molecular Biology and Evolution, 2025. DOI: https://doi.org/10.1093/molbev/msaf303
  4. Molecular population genetics and phylogeographic studies of Ligia exotica and Ligia cinerascens in East Asia. Frontiers in Marine Science, 2023. DOI: https://doi.org/10.3389/fmars.2023.1260171
  5. Africa needs more bioinformaticians for population studies. Nature, 2022. DOI: https://doi.org/10.1038/d41586-022-01378-8

Research Impact

The research output of Ui Wook Hwang reflects measurable academic impact within the biological sciences community. His Scopus profile records more than two thousand citations and an h-index of 26, indicating continuing scholarly engagement with his publications across multiple research domains.[1]

His interdisciplinary work linking molecular phylogenetics, biodiversity studies, and genomic analysis contributes to broader scientific understanding in evolutionary biology and zoological systematics. Participation in scientific advisory boards, research foundations, and educational initiatives further reflects his role within academic leadership and scientific administration.[2]

Award Suitability

Ui Wook Hwang has demonstrated significant contributions to scientific research, higher education, and international academic collaboration through his scholarly publications, leadership roles, and work in biological and evolutionary sciences.[3]

His involvement in multidisciplinary biological research, mentorship initiatives, institutional leadership, and internationally indexed scientific publications supports consideration within the framework of the Top Teachers Awards and similar academic recognition programs.[5]

Conclusion

Ui Wook Hwang has developed a substantial academic profile characterized by contributions to molecular evolution, phylogenetics, biodiversity science, and higher education leadership. His scholarly publications, institutional responsibilities, and participation in scientific organizations collectively illustrate a sustained commitment to biological sciences research and academic advancement within both national and international contexts.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Ui Wook Hwang, Author ID 35074015800. Scopus. https://www.scopus.com/authid/detail.uri?authorId=35074015800
  2. Kyungpook National University. (n.d.). Department of Advanced Bioconvergence and Faculty Information. https://www.knu.ac.kr/
  3. ORCID. (n.d.). Ui Wook Hwang ORCID Record. https://orcid.org/0000-0002-9735-8716
  4. Frontiers Media SA. (2023). Molecular population genetics and phylogeographic studies of Ligia exotica and Ligia cinerascens in East Asia. https://doi.org/10.3389/fmars.2023.1260171
  5. Nature Publishing Group. (2022). Africa needs more bioinformaticians for population studies. https://doi.org/10.1038/d41586-022-01378-8

Kusnandar | Engineering | Research Excellence Award

Published on by Top Teachers

Research Excellence Award

Kusnandar
National Research and Innovation Agency, Indonesia

Kusnandar
Affiliation National Research and Innovation Agency
Country Indonesia
Scopus ID 57217677745
Documents 7
Citations 55
h-index 4
Subject Area Engineering
Event Top Teachers Awards
Google Scholar kbNqvhgAAAAJ

Kusnandar is an Indonesian engineering researcher and academic specialist recognized for contributions to thermal systems, refrigeration engineering, HVAC technologies, energy modeling, and sustainable thermal management. His interdisciplinary research integrates numerical simulations, machine learning methods, experimental validation, and energy-efficient system design for manufacturing environments and building applications. His scholarly works have addressed thermal compensation techniques, cooling optimization, machine tool thermal behavior, and sustainable energy management systems in industrial and educational infrastructure.[1][2]

Abstract

This article documents the academic and research achievements of Kusnandar in the field of engineering, with emphasis on thermal systems, refrigeration technologies, computational modeling, and energy-efficient building applications. His work combines experimental methods, machine learning approaches, CFD simulations, and energy optimization techniques for industrial and institutional environments. Through collaborative research in Indonesia and Taiwan, he has contributed to sustainable cooling systems, thermal compensation in machine tools, and HVAC performance enhancement. His scholarly publications and technical engagements demonstrate interdisciplinary integration between manufacturing systems, thermal sciences, and energy engineering.[3][4]

Keywords

Thermal Systems, HVAC Engineering, Refrigeration, Heat Transfer, Machine Learning, CFD Simulation, Sustainable Cooling, Energy Modeling, Experimental Validation, Manufacturing Systems, Energy Efficiency, Thermal Compensation.

Introduction

Engineering research related to energy conservation and thermal management has become increasingly important in industrial manufacturing, educational infrastructure, and sustainable urban systems. Kusnandar has contributed to this field through investigations involving refrigeration systems, HVAC optimization, thermal behavior in machine tools, and predictive modeling using data-driven methods. His academic profile reflects a combination of engineering practice, industrial collaboration, and applied computational analysis.[5]

He obtained a Ph.D. from the Graduate Institute of Precision Manufacturing at National Chin-Yi University of Technology (NCUT), Taiwan, after completing graduate and undergraduate studies in mechanical engineering in Indonesia. His research trajectory integrates thermal engineering with computational and machine learning techniques, particularly in relation to energy efficiency and sustainable manufacturing systems.[6]

Research Profile

Kusnandar has developed expertise across multiple engineering domains involving heat transfer, thermal systems, and energy-efficient infrastructure. His research profile demonstrates the integration of experimental investigations with computational modeling and industrial applications. The majority of his research focuses on thermal management systems, energy conversion, and predictive analysis for manufacturing and building environments.[7]

  • Thermal Systems, Energy Conversion, Refrigeration, HVAC, and Heat Transfer.
  • Numerical Modeling using CFD, FEM, and hybrid thermal simulation techniques.
  • Machine learning applications for predictive thermal behavior analysis in machine tools.
  • Sustainable cooling technologies and renewable energy integration.
  • Experimental validation, sensor integration, and thermal monitoring systems.

In addition to academic research, he has participated in commissioning systems and energy audit projects in Taiwan involving hotels, hospitals, biotechnology facilities, and cleanroom environments. These collaborative activities expanded his expertise in HVAC balancing, energy performance testing, and industrial thermal optimization.[8]

Research Contributions

Kusnandar’s research contributions are primarily associated with sustainable thermal management, building energy optimization, refrigeration engineering, and machine tool thermal analysis. His studies frequently combine field measurements, simulation frameworks, and machine learning prediction models to improve engineering efficiency and operational stability.[9]

  • Development of predictive thermal compensation models for machine tool systems using machine learning techniques.
  • Research on coupling air conditioning systems with refrigeration showcase equipment for energy-efficient retail environments.
  • Energy-efficient retrofitting approaches for institutional hot water heating systems.
  • Investigation of industrial enclosure cooling performance and thermal stability enhancement.
  • Energy modeling and field measurement analysis for university and manufacturing buildings.

His applied engineering research demonstrates practical relevance to industrial sustainability and energy conservation initiatives, particularly in manufacturing systems and educational facilities. The interdisciplinary nature of his work supports broader engineering objectives involving environmental performance and operational reliability.[10]

Publications

Kusnandar has authored and co-authored research publications in internationally recognized engineering and energy journals. His publication record demonstrates continuing engagement with thermal engineering, machine tool analysis, and energy efficiency research.[11]

  1. Kusnandar, Nasril, Danny M Gandana, Agus Widodo, and Galang I Islami. “Thermal environment effect on machine tool ball screw based on experimental investigation and numerical simulation via machine learning prediction.” Journal of Engineering, 2026. DOI: https://doi.org/10.1155/je/6435980
  2. Kusnandar, Nasril, Danny M Gandana, Agus Widodo, and Galang I Islami. “A review of thermal effect and compensation techniques in machine tools.” Scientia Iranica, 2025 (Under Review).
  3. Kusnandar, Luo W. J., Permana I., Wang F. J., and Bayarkhuu G. “Energy Efficient for a Machine Tool Building in a University through Field Measurement and Energy Modelling.” Energy Engineering, 2023, Vol. 120(6), pp. 1387–1399. DOI: https://doi.org/10.32604/ee.2023.027459
  4. Kusnandar, Permana I., Chiang W. M., Wang F. J., and Liou C. “Energy Consumption Analysis for Coupling Air Conditioners and Cold Storage Showcase Equipment in a Convenience Store.” Energies, 2022, 15(13), 4857. DOI: https://doi.org/10.3390/en15134857
  5. Chiang W. M., Wang F. J., and Kusnandar. “Performance improvement of an industrial control enclosure cooling system.” Thermal Science, 2022, Vol. 26(3A), pp. 2043–2052. DOI: https://doi.org/10.2298/TSCI201205177C
  6. Wang F. J., Kusnandar, Lin H., and Tsai M. “Energy Efficient Approaches by Retrofitting Heat Pumps Water Heating System for a University Dormitory.” Buildings, 2021, Vol. 11, 356. DOI: https://doi.org/10.3390/buildings11080356

Research Impact

The research impact associated with Kusnandar’s academic work is reflected in the integration of energy-efficient engineering methods with sustainable manufacturing and building operation systems. His publications address practical industrial challenges related to thermal instability, cooling efficiency, and energy consumption reduction.[12]

His studies involving machine tool thermal behavior contribute to manufacturing precision and operational reliability, while his building energy modeling research supports improved environmental performance and energy conservation strategies. The application of machine learning within thermal engineering also demonstrates the growing role of intelligent predictive systems in engineering analysis.[13]

Award Suitability

Kusnandar’s academic background, international research collaborations, engineering publications, and contributions to sustainable thermal management support his suitability for recognition through the Top Teachers Awards. His work demonstrates a combination of research productivity, educational engagement, and applied engineering innovation within the broader field of energy and thermal systems engineering.[14]

His professional experience includes teaching, institutional leadership, postdoctoral research, and industrial collaboration across Indonesia and Taiwan. The integration of academic scholarship with real-world engineering applications reflects a sustained contribution to engineering education and technological development.[15]

Conclusion

Kusnandar represents an engineering academic whose research activities contribute to advancements in thermal systems, energy-efficient technologies, refrigeration engineering, and computational thermal analysis. Through scholarly publications, interdisciplinary methodologies, and international collaborative activities, he has participated in the development of sustainable engineering solutions relevant to manufacturing and building environments. His academic profile aligns with contemporary engineering priorities emphasizing sustainability, efficiency, and intelligent thermal management systems.[16]

References

  1. Elsevier. (n.d.). Scopus author details: Kusnandar, Author ID 57217677745. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57217677745
  2. Google Scholar. (n.d.). Kusnandar citation profile and scholarly metrics. https://scholar.google.com/citations?hl=id&user=kbNqvhgAAAAJ
  3. Kusnandar et al. (2026). Thermal environment effect on machine tool ball screw based on experimental investigation and numerical simulation via machine learning prediction. https://doi.org/10.1155/je/6435980
  4. Kusnandar et al. (2023). Energy Efficient for a Machine Tool Building in a University through Field Measurement and Energy Modelling. https://doi.org/10.32604/ee.2023.027459
  5. Energies Journal. (2022). Energy Consumption Analysis for Coupling Air Conditioners and Cold Storage Showcase Equipment in a Convenience Store. https://doi.org/10.3390/en15134857
  6. National Chin-Yi University of Technology. (n.d.). Graduate Institute of Precision Manufacturing academic records.
  7. Research profile documentation relating to HVAC engineering, thermal systems, CFD simulations, and machine learning applications in engineering systems.
  8. Industry collaborative project records involving commissioning systems, energy audits, and HVAC balancing activities in Taiwan from 2019–2023.
  9. Thermal Science. (2022). Performance improvement of an industrial control enclosure cooling system. https://doi.org/10.2298/TSCI201205177C
  10. Buildings Journal. (2021). Energy Efficient Approaches by Retrofitting Heat Pumps Water Heating System for a University Dormitory. https://doi.org/10.3390/buildings11080356
  11. Publication data compiled from Scopus indexing and Google Scholar author records.
  12. Engineering research concerning sustainable thermal management and energy optimization systems in manufacturing environments.
  13. Research applications involving machine learning integration in predictive thermal engineering systems.
  14. Top Teachers Awards. (n.d.). Academic recognition and global teaching excellence platform. https://topteachers.net/
  15. Professional records relating to teaching, academic administration, and postdoctoral research appointments in Indonesia and Taiwan.
  16. Comprehensive academic summary compiled from publication records, institutional affiliations, and engineering research activities.

Fazal e Wahab | Engineering | Innovative Research Award

Published on by Top Teachers

Innovative Research Award

Fazal e Wahab
Hubei Polytechnic University
Fazal e Wahab
Affiliation Hubei Polytechnic University
Country China
Scopus ID 57216410031
Documents 14
Citations 111
h-index 7
Subject Area Engineering
Event Top Teachers Awards
ORCID 0000-0003-4827-170X
Google Scholar 8t4Pxo8AAAAJ

Fazal e Wahab is an academic researcher and engineering educator affiliated with Hubei Polytechnic University, China. His scholarly work primarily focuses on speech enhancement, signal processing, machine learning applications, and low-latency intelligent systems for embedded and edge computing environments. Over the course of his academic and professional career, he has contributed to research in audio-visual speech enhancement, real-time denoising systems, neural network optimization, and applied engineering technologies. His publications in internationally indexed journals and conferences demonstrate sustained engagement with contemporary developments in communication engineering and intelligent multimedia systems.[1]

Abstract

This academic article documents the scholarly profile, research achievements, and educational contributions of Fazal e Wahab in the field of engineering and intelligent signal processing. His work addresses challenges associated with speech enhancement, audiovisual communication systems, and machine learning implementation for resource-constrained edge devices. Through interdisciplinary research involving signal processing, neural networks, embedded systems, and audio enhancement technologies, he has contributed to practical and computationally efficient methods for real-time communication systems. His publication record includes SCI-indexed journal articles, conference proceedings, funded engineering projects, and collaborative international research activities.[2]

Keywords

Speech Enhancement, Signal Processing, Edge Computing, Deep Learning, Audio-Visual Systems, Engineering Education, Machine Learning, Embedded Systems, Real-Time Denoising, Communication Engineering.

Introduction

The development of intelligent speech processing systems has become increasingly important in modern communication engineering, particularly in environments requiring low-latency and computationally efficient solutions. Researchers working in this field address technical challenges associated with noise suppression, speech intelligibility, audio enhancement, and multimodal communication systems. Fazal e Wahab has participated in this evolving research area through studies focused on lightweight neural architectures, edge-device optimization, and robust audiovisual speech enhancement frameworks.[3]

In addition to research activities, he has contributed extensively to university-level engineering education through undergraduate teaching, curriculum development, laboratory instruction, and supervision of student innovation projects. His academic trajectory includes higher education and research engagement in Pakistan and China, reflecting international academic collaboration and interdisciplinary engineering practice.[4]

Research Profile

Fazal e Wahab completed a Ph.D. in Information and Communication Engineering at the University of Science and Technology of China (USTC) in 2025. His doctoral research focused on optimized lightweight deep learning models for real-time single-channel speech enhancement systems. His investigations emphasized computational efficiency, streaming denoising, echo cancellation, and dereverberation systems applicable to edge and embedded hardware environments.[5]

His academic experience also includes an M.S. in Electrical Engineering from CECOS University and a B.S. in Electronic Engineering from Dawood University of Engineering and Technology. Professionally, he has served as a lecturer, researcher, engineering instructor, and instrumentation engineer, contributing both to industrial engineering operations and university-level technical education.[6]

  • Research specialization in speech enhancement and audio signal processing.
  • Experience in machine learning for edge and embedded systems.
  • Academic supervision of funded engineering projects and applied research.
  • Participation in international scientific collaboration and peer review activities.

Research Contributions

The research contributions of Fazal e Wahab are associated with efficient speech enhancement systems using lightweight neural network architectures. His studies investigate methods for reducing computational complexity while maintaining speech intelligibility and enhancement quality in real-time applications. This area of research is particularly relevant for embedded systems, mobile communication technologies, and assistive audio interfaces.[7]

His published work includes investigations into gated convolutional recurrent neural networks, dual-transformer architectures, multimodal audiovisual processing systems, and adaptive deep learning techniques for speech enhancement. Several publications focus on resource-constrained devices and edge deployment scenarios, demonstrating applied relevance in consumer electronics and intelligent communication technologies.[8]

  • Development of lightweight deep learning models for speech enhancement.
  • Research on audio-visual speech enhancement frameworks using transformer architectures.
  • Optimization of neural systems for edge and embedded devices.
  • Contribution to intelligent signal processing and real-time communication systems.
  • Supervision of funded engineering innovation and assistive technology projects.

Publications

The publication record of Fazal e Wahab includes journal articles and conference papers indexed in SCI, EI, and Scopus databases. His publications span topics related to speech enhancement, multimedia systems, signal processing, energy systems, and intelligent engineering applications.[9]

  1. “Lightweight Adaptive Deep Learning for Efficient Real-Time Speech Enhancement on Edge Devices,” IEEE Transactions on Consumer Electronics, 2025.
  2. “Compact Deep Neural Networks for Real-Time Speech Enhancement on Resource-Limited Devices,” Speech Communication, 2024.
  3. “Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement,” International Journal of Interactive Multimedia and Artificial Intelligence, 2023.
  4. “Multi-Model Dual-Transformer Network for Audio-Visual Speech Enhancement,” AVSEC 2024.
  5. “Integrating Graph Neural Networks and Visual Encoding for Robust Audiovisual Speech Enhancement,” IEEC 2026.
  6. “Frequency-Aware Selective State-Space Modeling for Audio-Visual Speech Enhancement,” Digital Signal Processing, 2026.
  7. “Dynamic Multi-Kernel Convolutional Network With Noise Injected Features for Audio-Only Speech Enhancement,” Neurocomputing, 2025.
  8. “Multimodal Learning-Based Speech Enhancement and Separation,” Computers in Biology and Medicine, 2025.

Research Impact

The research activities of Fazal e Wahab demonstrate measurable academic visibility through Scopus-indexed publications, citation performance, and interdisciplinary engineering collaborations. His studies contribute to ongoing advancements in speech enhancement technologies and intelligent multimedia processing systems. The citation profile associated with his publications indicates scholarly engagement within signal processing and communication engineering communities.[10]

Beyond scholarly publication, his mentorship of funded engineering projects has supported prototype development, applied innovation, and student-centered engineering education. Several supervised projects addressed healthcare technologies, smart home systems, assistive devices, and IoT-enabled monitoring systems, demonstrating practical societal relevance and engineering application.[11]

Award Suitability

The academic and professional profile of Fazal e Wahab reflects several characteristics associated with scholarly recognition in engineering and higher education. His combination of research productivity, international academic engagement, peer-reviewed publication activity, student mentorship, and interdisciplinary engineering expertise demonstrates sustained contribution to communication engineering and intelligent systems research.[12]

His involvement in advanced research related to speech enhancement and machine learning for edge computing environments aligns with emerging global priorities in intelligent communication technologies. Additionally, his experience in teaching, curriculum support, and applied project supervision reflects commitment to engineering education and knowledge dissemination within academic institutions.[13]

Conclusion

Fazal e Wahab has established a multidisciplinary academic profile combining research, teaching, engineering practice, and international scholarly collaboration. His contributions to speech enhancement, signal processing, and machine learning applications for embedded systems represent ongoing engagement with technically relevant and practically applicable research domains. Through journal publications, conference participation, funded project supervision, and academic service, he continues to contribute to the broader development of communication engineering and intelligent multimedia technologies.[13]

References

  1. Elsevier. (n.d.). Scopus author details: Fazal e Wahab, Author ID 57216410031. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57216410031
  2. ORCID. (n.d.). ORCID profile record for Fazal e Wahab. https://orcid.org/0000-0003-4827-170X
  3. IEEE. (2025). Lightweight Adaptive Deep Learning for Efficient Real-Time Speech Enhancement on Edge Devices. https://doi.org/10.1109/TCE.2025.3598007
  4. University of Science and Technology of China. (2025). Doctoral dissertation and academic research profile.
  5. Speech Communication. (2024). Compact Deep Neural Networks for Real-Time Speech Enhancement on Resource-Limited Devices.https://doi.org/10.1016/j.specom.2023.103008
  6. CECOS University. (2015). Master of Science in Electrical Engineering academic record.
  7. International Journal of Interactive Multimedia and Artificial Intelligence. (2023). Efficient Gated Convolutional Recurrent Neural Networks for Real-Time Speech Enhancement.
  8. AVSEC Proceedings. (2024). Multi-Model Dual-Transformer Network for Audio-Visual Speech Enhancement.
  9. Computers in Biology and Medicine. (2025). Multimodal Learning-Based Speech Enhancement and Separation. https://doi.org/10.1016/j.compbiomed.2025.110082
  10. Digital Signal Processing. (2026). Frequency-Aware Selective State-Space Modeling for Audio-Visual Speech Enhancement.
  11. National ICT R&D Fund. (n.d.). Applied engineering and IoT-based funded student projects.
  12. Top Teachers Awards. (n.d.). International academic recognition and award platform.https://topteachers.net/
  13. Google Scholar. (n.d.). Academic citation profile of Fazal e Wahab. https://scholar.google.com/citations?hl=en&authuser=1&user=8t4Pxo8AAAAJ

Yuki Hasegawa | Bioelectronics and Biomaterials | Research Excellence Award

Published on by Top Teachers

Assoc. Prof. Dr. Yuki Hasegawa | Bioelectronics and Biomaterials | Research Excellence Award

Saitama University | Japan

Assoc. Prof. Dr. Yuki Hasegawa research focuses on advancing sensor technology and measurement systems with strong emphasis on gas sensors, taste sensors, electrochemical sensing, and plant bioelectrical potential measurement for environmental and agricultural applications. Core contributions include the design, fabrication, and evaluation of functional material–based sensors and miniaturized sensing platforms capable of stable, sensitive, and reproducible measurements under real-world conditions. Innovative experimental methodologies and signal analysis techniques have been developed to improve sensor selectivity, long-term stability, and response reliability. Research outcomes support interdisciplinary applications spanning environmental monitoring, smart agriculture, and bio-sensing systems, enabling more accurate detection of chemical and biological signals. The work integrates electrical engineering principles with materials science and measurement engineering, contributing to scalable and practical sensing solutions. Findings have been disseminated through high-impact peer-reviewed international journals and conferences indexed in SCI/SCIE and Scopus, strengthening global knowledge exchange in sensing technologies. Scholarly impact is reflected through citation metrics, with 306 total citations (124 since 2020), an h-index of 9 (6 since 2020), and an i10-index of 9 (2 since 2020), demonstrating consistent research influence and relevance. Overall, the research advances next-generation sensing systems and supports sustainable technological development in environmental and agricultural engineering.

Citation Metrics (Google Scholar)

Total Citations
306

Citations: 306 |
h-index: 9 |
i10-index: 9

🟦 Citations    🟩 h-index    🟥 i10-index


View Google Scholar Profile

Featured Publications

Abduljabbar S. Ba Mahel | Biomedical | Best Researcher Award

Published on by Top Teachers

Muslima Khatun | Synthetic Biology | Women Researcher Award

Published on by Top Teachers

Dr. Muslima Khatun | Synthetic Biology | Women Researcher Award

Senior Scientific Officer at National Institute of Biotechnology, (NIB), Bangladesh.

Dr. Mst. Muslima Khatun is a Senior Scientific Officer at the National Institute of Biotechnology (NIB), Bangladesh. She specializes in plant genetic engineering, CRISPR-Cas9 genome editing, and molecular biotechnology. Her research focuses on improving crop resilience, food security, and phytoremediation through advanced biotechnological tools. Dr. Khatun has worked extensively in academia and research institutions, collaborating on projects worldwide. She has received numerous fellowships, including a Visiting Research Scholar Fellowship at Pennsylvania State University, USA. Passionate about innovation, she is actively involved in mentoring young scientists and has contributed significantly to molecular biology and biotechnology research.

professional profiles📖

ORCID

Education 🎓

Dr. Mst. Muslima Khatun earned her Ph.D. in Biochemistry and Molecular Biology from the International Centre for Genetic Engineering and Biotechnology (ICGEB), India, and Dhaka University, Bangladesh, focusing on mitochondrial small heat shock protein genes for abiotic stress tolerance in eggplant. She obtained her M.Sc. in Biotechnology and Genetic Engineering from Islamic University, Bangladesh, with a CGPA of 3.83/4.00, and her B.Sc. in the same field from the same university, graduating with first-class honors. Her academic journey has been defined by a deep interest in molecular genetics, proteomics, metabolomics, and synthetic biology, which she has pursued with dedication and excellence.

work Experience💼

Dr. Khatun has an extensive research background spanning over a decade. She currently serves as a Senior Scientific Officer at NIB, Bangladesh, where she leads research on molecular biotechnology, plant stress adaptation, and CRISPR/Cas9 genome editing. She was a Visiting Research Scientist at Pennsylvania State University, USA, working on abiotic stress impacts on Theobroma cacao through proteomics and metabolomics. Additionally, she served as Project Director for an Annual Development Project (ADP) funded by the Government of Bangladesh, establishing advanced proteomics and metabolomics research facilities. Her previous roles include Research Scientist at the International Centre for Genetic Engineering and Biotechnology (ICGEB), India, and Scientific Officer at NIB, contributing to genetic engineering, abiotic stress tolerance, and pro-vitamin A enhancement in crops.

Awards and Honors 

Dr. Khatun has been recognized with several prestigious awards, including the Women’s Young Investigator Travel Award (WYITA) from the American Society of Plant Biologists (ASPB) in 2025 and the Institutional Integrity Award (2021-2022) from NIB, Bangladesh. She was awarded a Visiting Research Scholar Fellowship by Penn State Plant Sciences Institute, USA, and received the Doctoral Fellowship from Bangabandhu Science and Technology Fellowship Trust (2020-2023). She was also honored by the Organization of Islamic Cooperation (OIC) for her outstanding achievements in science and technology. Additionally, she has received research fellowships from NAM S&T Centre, India, and Indo-Bangladesh collaborative projects.

 

Research Focus

Dr. Khatun’s research is centered on plant genetic engineering, CRISPR-Cas9 genome editing, and synthetic biology. She is particularly interested in developing high-yielding and stress-tolerant crops through precision breeding. Her work involves understanding the complex molecular networks in plant-biotic and abiotic stress interactions and implementing genome editing for crop improvement. She has contributed significantly to transcriptomics, proteomics, metabolomics, and bioinformatics. Her projects include CRISPR/Cas9 editing of rice starch enzymes for diabetes-friendly rice, metabolic profiling using LC-MS/MS and GC-MS/MS, and the development of synthetic endolysins as potent antimicrobials.

Skills 💡

Dr. Khatun possesses expertise in genome editing (CRISPR/Cas9), plant molecular biology, transcriptomics, proteomics, and bioinformatics. She has hands-on experience in metabolomics using LC-MS/MS and GC-MS/MS, plant tissue culture, and genetic transformation. Her skillset includes experimental design, grant writing, manuscript preparation, data analysis, and supervising research teams. She is proficient in using advanced biotechnological tools such as Digital Droplet PCR, high-performance chromatography techniques, and fluorescence microscopy. Additionally, she has experience in research project management, laboratory setup, and conducting training programs for scientists and students.

 

Conclusion✅

Dr. Mst. Muslima Khatun is a highly deserving candidate for the Women Researcher Award. Her groundbreaking work in plant biotechnology, leadership in scientific research, and international recognition highlight her as a top contender. While she excels in academic and applied research, expanding her impact on policy and industry applications could further enhance her contributions to global food security and sustainable agriculture.

 

📚Publications to Noted

 

An Improved Agrobacterium Mediated Transformation and Regeneration Protocol for Successful Genetic Engineering and CRISPR/Cas9 Based Genome Editing in Eggplant

Authors: M. M. Khatun, Bhabesh Borphukan, Iftekhar Alam, C. A. Keya, Haseena Khan, M. K. Reddy, Md. Salimullah

Year: 2022

Mitochondria-Targeted SmsHSP24.1 Overexpression Stimulates Early Seedling Vigor and Stress Tolerance by Multi-Pathway Transcriptome-Reprogramming

Authors: M. M. Khatun, Bhabesh Borphukan, Iftekhar Alam, C. A. Keya, Saaimatul Huq, V. Panditi, Haseena Khan, M. K. Reddy, Md. Salimullah

Year: 2021

First Report of Colletotrichum siamense Causing Leaf Spot in Aloe vera in Bangladesh

Authors: Rumana Azad, Amir Hamza, M. M. Khatun, et al.

Year: 2020

In Vitro Regeneration of Two High-Yielding Eggplant (Solanum melongena L.) Varieties of Bangladesh

Authors: M. M. Khatun

Year: 2018

Additive Effect of Coconut Water with Various Hormones on In Vitro Regeneration of Carnation (Dianthus caryophyllus L.)

Authors: M. M. Khatun, P. K. Roy, Abdur M. Razzak

Year: 2018

Evaluation of Genetic Fidelity of In Vitro-Propagated Aloe vera Plants Using DNA-Based Markers

Authors: M. M. Khatun, T. Tanny, S. Yesmin, M. Salimullah, I. Alam

Year: 2018

In Vitro Clonal Propagation of BARI Ada-1 (Zingiber officinale Rosc.)

Authors: M. M. Khatun

Year: 2016

Standardization of In Vitro Sterilization Procedures for Micropropagation of Ginger (Zingiber officinale Rosc.)

Authors: M. M. Khatun

Year: 2016