Berat Cinar Acar | Biopharmaceutics | Best Researcher Award

Berat Cinar Acar | Biopharmaceutics | Best Researcher AwardΒ 

Dr Berat Cinar Acar,Department of Biology,Turkey

πŸ”¬ Dr. Berat Γ‡Δ±nar Acar is a dedicated biologist specializing in microbiology and environmental biotechnology. He earned his Ph.D. in Biology from Gazi University (2018), focusing on bioremediation of chromium in industrial wastewater. His M.Sc. (2012) explored Ξ²-glucosidase enzyme activity in Lactobacillus and Bifidobacterium species. Currently a lecturer at Gazi University, he has led and contributed to multiple scientific research projects on microbial biotechnology and environmental detoxification. His research advances sustainable solutions for pollution control and microbial enzyme applications. 🌍πŸ§ͺ

Publication Profile

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Education Information

Dr. Berat Cinar Acar πŸŽ“ earned his Ph.D. in Biology from Gazi University’s Institute of Science on May 30, 2018. His doctoral research focused on beta-glucosidase enzyme activity and isoflavone hydrolysis in Lactobacillus and Bifidobacterium under the supervision of Assoc. Prof. Zehra Nur YΓΌksekdağ. He completed his M.Sc. in Biology at Gazi University in 2012 and obtained his B.Sc. in Biology from Niğde University in 2008. With a strong academic background, he currently serves as a Lecturer in the Department of Biology at Gazi University, contributing to research and education in the field of microbiology πŸ”¬.

Academic Duties

Dr. Berat Γ‡Δ±nar Acar is a dedicated faculty member 🏫 at Gazi University, Faculty of Science, Department of Biology, specializing in the field of biology πŸ”¬. As a lecturer, he plays a vital role in academic research and education, guiding students in various biological disciplines πŸ“š. His expertise spans microbiology, biotechnology, and environmental sciences, contributing to innovative studies on probiotics, enzyme activities, and bioremediation 🌱🦠. Dr. Acar’s commitment to scientific advancement and education continues to inspire future researchers and professionals, fostering a deeper understanding of biological sciences for sustainable solutions to global challenges. 🌍

Awards

Dr. Berat Cinar Acar πŸ† was honored with the Gazi University Rectorate Incentive Award in 2024 for his outstanding contributions to scientific research and academic excellence. This prestigious recognition highlights his dedication to advancing biological sciences and his impactful work in microbiology πŸ”¬. As a distinguished academic at Gazi University, Dr. Acar continues to inspire students and researchers through his innovative studies and commitment to education πŸ“š. His achievements reflect his passion for scientific discovery and his ongoing efforts to push the boundaries of knowledge in his field.

Certificate

Dr. Berat Cinar Acar πŸ“œ has earned multiple prestigious certifications, showcasing his expertise in advanced scientific techniques. In 2023, he received Mikrobiyota Education and Real-Time PCR Training Certificates 🧬 from Krosgen. His international certification in ICP-OES OPTIMA (2017) reflects his proficiency in analytical instrumentation πŸ”¬. Additionally, he completed the Oba Chemometrics Training in Antalya (2015) and gained expertise in GC-MS instrumentation and ChemStation software from Agilent Technologies in Ankara (2012). These certifications highlight his dedication to continuous learning and innovation in microbiology, biotechnology, and analytical sciences πŸ…

Works

Dr. Berat Γ‡Δ±nar Acar is an esteemed researcher with significant contributions to microbiology, nanotechnology, and environmental science πŸ§ͺ🌍. His work spans antimicrobial activity, bioremediation, and probiotic research, with publications in top-tier journals like Microscopy Research and Technique and Water, Air, and Soil Pollution πŸ“–πŸ”¬. He has explored green synthesis of silver nanoparticles, cold plasma applications for food safety, and bioreduction of heavy metals. His international conference presentations showcase innovations in probiotic enzyme activity and biosurfactants πŸ¦ πŸ›‘οΈ. Dr. Acar’s research advances biotechnology and public health, addressing critical environmental and food safety challenges. πŸš€

Duties Performed in Projects

Dr. Berat Γ‡Δ±nar Acar has contributed significantly to various scientific research projects, focusing on microbiology, biotechnology, and environmental sciences πŸ§ͺ🌱. His work includes chromium detoxification via bioremediation, probiotic bacterial studies, and beta-galactosidase enzyme activity analysis. He has led projects on cold atmospheric plasma applications for pathogen inactivation, biosorption techniques, and the antibacterial properties of hydrogels infused with silver nanoparticles. Additionally, Dr. Acar investigates extracellular polysaccharide production in probiotic strains and the bactericidal effects of ozone and plasma treatments against clinical pathogens πŸ¦ πŸ”¬. His research continues to advance sustainable and innovative scientific solutions for health and the environment. 🌍✨

Research Focus

Dr. Berat Γ‡Δ±nar Acar specializes in microbiology 🦠, probiotics πŸ₯›, enzyme activity πŸ§ͺ, and environmental biotechnology 🌱. His research focuses on probiotic bacteria, particularly Lactobacillus and Bifidobacterium species, exploring their Ξ²-glucosidase and Ξ²-galactosidase enzyme activities. He also investigates bioremediation for heavy metal removal and the biological cementation of soils. Additionally, his work extends to antimicrobial activities πŸ”¬, folate production, and nanotechnology-based green synthesis πŸŒΏβš—οΈ. His studies contribute to food biotechnology, environmental sustainability, and innovative biomedical applications, making his research crucial for human health, nutrition, and ecological balance.

Publication Top Notes

Probiotic properties of lactobacilli species isolated from children’s feces

Ξ²-Glucosidase activity and bioconversion of isoflavone glycosides to aglycones by potential probiotic bacteria

Cementation in a matrix of loose sandy soil using biological treatment method

Beta-Glycosidase Activities of Lactobacillus spp. and Bifidobacterium spp. and The Effect of Different Physiological Conditions on Enzyme Activity

Kimyasal yântemlerle atık sulardan ağır metal giderimi

Investigation of Chromium (III) Adsorption on Acid-Treated Bentonite Evaluation of Kinetic/Thermodynamic Data

Bioreduction of Cr(VI) byΒ Raoultella ornithinolyticaΒ BCA13 Obtained from Tannery Effluent

Lactobacillus cinsi bakteriler tarafΔ±ndan ΓΌretilen biyosΓΌrfektanlarΔ±n anti-biyofilm ve anti-mikrobiyal aktivitelerinin belirlenmesi

Analyzing antimicrobial activity of ZnO/FTO, Sn–Cu‐doped ZnO/FTO thin films: Production and characterizations

Lactobacillus ve bifidobacterium cinsi bakterilerin beta-glukozidaz enzim aktivitesi ve izoflavon hidrolizi

Joonsik Jo | Formulation Science | Best Researcher Award

Joonsik Jo | Formulation Science | Best Researcher Award

Mr Joonsik Jo, The Seoul Institute, South Korea

Mr. Joonsik Jo is a distinguished researcher in Transportation Planning & Engineering with expertise in using Explainable Artificial Intelligence (XAI) to analyze the relationship between pedestrian volume and air quality 🌍🚢. He holds a Master’s and Bachelor’s degree in Transportation Engineering from the University of Seoul πŸŽ“. His impactful projects include public transportation feasibility studies and AI-driven vehicle management systems πŸš†πŸ€–. Mr. Jo’s publication in Clean Technologies and Environmental Policy and his Best Paper Presentation Award at the Korean Society of Transportation highlight his significant contributions to sustainable urban mobility 🌱.

Publication Profile

scopus

Educational Background

Mr. JoonsikΒ  holds a Master’s degree in Transportation Engineering from the University of Seoul, where his research focused on the intersection of artificial intelligence and transportation systems πŸ€–πŸš—. This solid academic foundation is supported by his Bachelor’s degree in Transportation Engineering from the same institution, showcasing his long-standing commitment to the field πŸ“šπŸŽ“. His innovative approach to research and dedication to advancing transportation technologies makes him a standout figure in his area of expertise 🌟. Mr. Jo’s work combines the principles of engineering with cutting-edge AI, contributing to the evolution of smart transportation systems and sustainable urban mobility πŸš€.

Awards and Recognition

Mr. Joonsik Jo has been honored with the Best Paper Presentation Award at the 87th Conference of the Korean Society of Transportation πŸš—πŸ“š. This prestigious recognition further underscores the exceptional quality and impact of his research in the field of transportation studies. By effectively communicating complex ideas, Mr. Jo has demonstrated his ability to present innovative insights that contribute significantly to the academic community. His achievement highlights both his dedication to advancing knowledge and his skill in conveying intricate concepts with clarity πŸŽ€πŸ†. This award serves as a testament to his hard work and valuable contributions to the transportation sector.

Employment History

Mr. Joonsik Jo is currently pursuing his Master’s degree in Transportation Engineering at the University of Seoul πŸŽ“πŸš—. As a dedicated student, he is gaining advanced knowledge and expertise in the field of transportation, focusing on developing innovative solutions to improve infrastructure and systems. His academic journey at a prestigious institution like the University of Seoul reflects his commitment to excellence in transportation engineering. By immersing himself in research and coursework, Mr. Jo is building a strong foundation to contribute to the future of sustainable and efficient transportation solutions πŸŒπŸ”§. His passion for the field drives his continuous growth and success.

Research Projects

Mr. Joonsik Jo has made significant contributions to several high-impact research projects, focusing on urban transportation systems, sustainability, and efficiency πŸŒπŸš‡. His work on the Feasibility Study and Commercialization Plan for Public Transportation in the Uiwang-Gunpo-Ansan Area, as well as the Traffic Demand & Pedestrian Flow Estimation for the GTX Uijeongbu Station Transfer Center Construction Project, showcases his dedication to improving public transportation planning and infrastructure πŸ™οΈπŸšΆβ€β™‚οΈ. Additionally, Mr. Jo’s research on detecting MERS virus spread in public transport and developing an Autonomous Shared Vehicle Management System using AI deep learning techniques highlights his innovative, multidisciplinary approach to solving real-world challenges πŸ€–πŸ’‘.

Published Work

Mr. Joonsik Jo has made a remarkable contribution to the field through his publication in Clean Technologies and Environmental Policy (SCIE journal) πŸŒΏπŸ“–. His research explores the relationship between air quality and walkability using cutting-edge Explainable AI (XAI) techniques πŸŒ¬οΈπŸ€–. This innovative approach allows for a deeper understanding of environmental and transportation issues, which is vital for creating sustainable and livable cities πŸ™οΈπŸ’š. By applying XAI to these complex challenges, Mr. Jo is helping to pave the way for smarter urban planning and more effective solutions to improve both air quality and pedestrian infrastructure.

Research Focus

Mr. Joonsik Jo’s research primarily focuses on urban transportation systems, environmental impact, and the use of artificial intelligence (AI) for data analysis in transportation planning. His work includes topics such as predicting passenger congestion in subways πŸš‡, travel demand management to mitigate climate change 🌍, and the impact of transportation on air quality 🌫️. Additionally, he explores the relationship between air quality and walkability πŸ™οΈ using explainable AI techniques. His contributions also include environmental comparisons between different public transport systems, such as super bus rapid transit and trams πŸšπŸš‹. His research aims to enhance sustainable urban development and improve environmental quality.

Publication Top Notes

A hybrid clustering–regression approach for predicting passenger congestion in a carriage at a subway platform