Herliati Rahman | Chemical Engineering | Best Researcher Award

Prof Dr. Herliati Rahman | Chemical Engineering | Best Researcher Award

Universitas Jayabaya, Jakarta | Indonesia

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Early Academic Pursuits

Dr. Herliati Rahman embarked on her academic journey with a Bachelor's degree in Chemical Engineering from Universitas Sriwijaya in July 1993. This foundational education laid the groundwork for her subsequent achievements in the field.

Professional Endeavors

Following her Bachelor's degree, Dr. Rahman pursued a Master's degree in Chemical Engineering at Universitas Indonesia in February 2003. This advanced academic pursuit equipped her with deeper insights and expertise in her field of study. Subsequently, she continued her academic journey by obtaining a doctoral degree in Chemical Engineering from Universiti Putra Malaysia in May 2013, marking a significant milestone in her academic and professional career.

Contributions and Research Focus

Dr. Rahman's research primarily focuses on the utilization of biodiesel waste, particularly glycerol-based, for sustainable energy solutions and chemical production. Her notable contributions include innovative studies on bioethanol synthesis, epoxy resin production, and the purification of crude glycerol. Her research has been pivotal in exploring new applications and enhancing the efficiency of industrial processes.

Accolades and Recognition

Throughout her career, Dr. Rahman has received recognition for her pioneering research efforts and contributions to sustainable technology. She has been awarded multiple research grants from prestigious institutions, including the National Research and Innovation Agency (RISTEK-BRIN) and the Ministry of Research and Higher Education Technology of Indonesia.

Impact and Influence

Dr. Rahman's research has had a significant impact on the field of chemical engineering, particularly in promoting sustainable practices and optimizing industrial processes. Her publications in reputable journals and patents underscore her influence and contribution to advancing knowledge in her field.

Legacy and Future Contributions

Looking ahead, Dr. Rahman continues to aspire towards expanding the boundaries of sustainable technology and chemical engineering. Her legacy includes a commitment to fostering innovation, promoting environmental sustainability, and inspiring future generations of researchers in the field.

 

Notable Publications

Exploring microbial lipases: Screening and identification for biocatalyst potential in bioethanol synthesis from glycerol-based biodiesel waste 2024

Ultraviolet Shielding Performance of Coconut Coir as a Filler in Low-Density Polyethylene (LDPE) Plastic Mulch 2024

Purifying Crude Glycerol from Biodiesel Production for Sustainable Energy Solutions 2023

IMPROVE THE COMPRESSIVE STRENGTH USING A STRENGTH IMPROVER AGENT (SIA) IN THE CEMENT INDUSTRY IN INDONESIA 2023

Analysis of electrostatic precipitators plate-wire type in reducing dust emissions for sustainable environment 2023

 

 

 

 

Mr. Pouya Farshbaf Aghajani | Food Engineering |Best Researcher Award

Mr. Pouya Farshbaf Aghajani | Food Engineering |Best Researcher Award

University of Tehran | Iran

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Early Academic Pursuits

Pouya Farshbaf Aghajani began his academic journey at the University of Tabriz, excelling in Biosystem Mechanical Engineering, where he ranked fourth among his peers. His undergraduate thesis on the development and optimization of a Combined Ultrasound-Assisted Cultivation and Growing System of Chlorella vulgaris microalgae hinted at his early interest in sustainable resource development and innovative extraction technologies.

Professional Endeavors

Transitioning to the University of Tehran for his Master's in Mechanics of Biosystem Engineering, Pouya swiftly rose to the top, ranking first among his peers with a thesis that revolutionized the use of ultrasound in cultivating microalgae. His research experiences as a Research Assistant, particularly in designing advanced ultrasonic devices for frying, freezing, and cultivation, showcased his prowess in implementing cutting-edge technology in food processing.

Contributions and Research Focus

Pouya's contributions are evident in his publications exploring ultrasound's applications in enhancing frozen mushroom quality, improving oil extraction from microalgae for biofuel production, and even leveraging deep learning techniques for mushroom identification. His focus on sustainable resource development, food safety, and ultrasound technology within food processing reflects his commitment to advancing these domains.

Accolades and Recognition

His academic excellence has been repeatedly acknowledged, from securing scholarships for both undergraduate and graduate studies to ranking within the top percentiles in Iranian University Entrance Exams. Awards such as being ranked first in GPA among master's students and his research contributions that led to publications in prestigious journals underscore his recognition in the academic sphere.

Impact and Influence

Pouya's work in ultrasound-assisted technologies for food processing has already made a substantial impact. His research not only enhances food quality but also promotes more sustainable and efficient methods of resource utilization. By sharing his expertise and collaborating with esteemed professors, he's contributing to the advancement of biosystem engineering and food technology.

Legacy and Future Contributions

Pouya Farshbaf Aghajani's legacy lies in his pioneering work at the intersection of ultrasound technology and food processing. His dedication to sustainable practices and innovative techniques will likely inspire future researchers in the field. His ongoing research and collaborations are poised to further elevate the efficiency and sustainability of food production methods, leaving a lasting impact on the industry.

Notable Publications

The improvement of freezing time and functional quality of frozen mushrooms by application of probe-type power ultrasound 2023 (1)

Revolutionizing Mushroom Identification: Improving efficiency with ultrasound-assisted frozen sample analysis and deep learning techniques 2024