FİLİZ YANGILAR | Engineering | Best Researcher Award

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Assoc Prof Dr. FİLİZ YANGILAR | Engineering | Best Researcher Award

Assoc Prof Dr, Erzincan Binali Yıldırım University , Turkey

Dr. Filiz Yangılar is an Associate Professor at Erzincan Binali Yıldırım University, specializing in Nutrition and Dietetics. She completed her Bachelor’s in Food Engineering in 2000 and earned her Master’s and Ph.D. in Food Engineering from Atatürk University in 2004 and 2010, respectively. Her research focuses on dairy products, probiotics, and food quality assessment, with a notable thesis on the maturation period of white cheese using different probiotic cultures. Dr. Yangılar has supervised numerous graduate theses and has been involved in various national scientific research projects, contributing significantly to her field. She has held several administrative roles, including Department Head and Institute Director. Recognized for her contributions, she has received multiple awards, including those from Erzincan Binali Yıldırım University. Dr. Yangılar’s dedication to research and education highlights her impact on the advancement of nutrition science in Turkey. 🥗📚✨

Profile:

Education

Dr. Filiz Yangılar completed her Bachelor’s degree in Food Engineering at Atatürk University in 2000. She pursued her Master’s degree in Food Engineering, also at Atatürk University, where she graduated in 2004 with a thesis on the production of local cheeses and their microbiological, physical, and chemical properties. She continued her academic journey at Atatürk University, earning her Ph.D. in Food Engineering in 2010, focusing on the quality criteria of white cheese produced with different probiotic cultures. Dr. Yangılar has since become a notable academic in the field of nutrition and dietetics, currently serving as an Associate Professor at Erzincan Binali Yıldırım University. Her extensive educational background is complemented by various leadership roles within her department, showcasing her commitment to advancing research and education in food sciences.

Professional Experience

Dr. Filiz Yangılar is an accomplished Associate Professor at Erzincan Binali Yıldırım University, specializing in Nutrition and Dietetics. With a solid educational background, she earned her Ph.D. in Food Engineering from Atatürk University in 2010, focusing on the maturation period of probiotic cheese. Dr. Yangılar has held various academic positions, including Doctor Lecturer at both Erzincan and Ardahan Universities, where she has significantly contributed to the development of nutrition programs. She has supervised numerous master’s theses, addressing topics such as plant-based formulations and nutritional needs post-disasters. Dr. Yangılar is actively involved in national research projects, examining the quality characteristics of traditional and innovative food products. Additionally, she has served in various administrative roles, including as the Director of the Health Sciences Institute and the Head of the Nutrition and Dietetics Department. Her commitment to advancing food science and nutrition has earned her several awards for research and academic excellence.

Research Skills

Dr. Filiz Yangılar, an accomplished associate professor in the Department of Nutrition and Dietetics at Erzincan Binali Yıldırım University, possesses extensive research skills in food engineering and nutrition. Her expertise includes investigating the quality criteria of various dairy products, particularly focusing on the microbiological, physical, chemical, and sensory properties of traditional cheeses. Dr. Yangılar has successfully led multiple research projects on probiotic bacteria and their application in dairy production, contributing valuable insights to the field. Additionally, she has supervised numerous master’s theses, fostering new research in areas such as plant-based nutrition and functional foods. Her involvement in national scientific research projects further demonstrates her ability to collaborate and innovate within her discipline. With a strong publication record and recognition through various awards, Dr. Yangılar continues to advance research in nutritional science and food quality, emphasizing the importance of healthful dietary practices.

Award and Recognition

Dr. Filiz Yangılar, a prominent associate professor at Erzincan Binali Yıldırım University, has made significant contributions to the field of nutrition and dietetics, particularly in food engineering. She earned her PhD from Atatürk University, focusing on the quality characteristics of various dairy products, showcasing her expertise in food technology. Dr. Yangılar has been recognized for her innovative research through multiple awards, including the 2024 AR-GE Project Market award and the Academic Science, Art, and Sports Award from her university. Her projects on probiotics and functional food formulations have garnered national attention, reflecting her commitment to advancing food science. Additionally, she serves in various academic leadership roles, including as the director of the Health Sciences Institute. Dr. Yangılar’s dedication to teaching and research continues to inspire students and colleagues alike, establishing her as a respected figure in the academic community. 🏆👩‍🔬🥇

Conclusion

Dr. Filiz Yangılar is a highly qualified candidate for the Research for Best Researcher Award. Her extensive experience, strong research contributions, and leadership roles position her as a significant figure in the field of nutrition and food engineering. By focusing on international collaboration and diversifying her research topics, she could further enhance her impact and recognition in the global research community. Overall, Dr. Yangılar embodies the qualities of a leading researcher and would be a deserving recipient of this award. 🌟📚🏆

Publication Top Notes

  • Title: As a potentially functional food: Goats’ milk and products
    Authors: F Yangilar
    Journal: Journal of Food and Nutrition Research
    Year: 2013
    Volume: 1(4), pp. 68-81
    Citations: 197
  • Title: The application of dietary fibre in food industry: structural features, effects on health and definition, obtaining and analysis of dietary fibre: a review
    Authors: F Yangilar
    Journal: Journal of Food and Nutrition Research
    Year: 2013
    Volume: 1(3), pp. 13-23
    Citations: 191
  • Title: Pullulan: Production and usage in food industry
    Authors: P Oğuzhan, F Yangilar
    Journal: African Journal of Food Science and Technology
    Year: 2013
    Volume: 4(3), pp. 2141-5455
    Citations: 98*
  • Title: Effects of green banana flour on the physical, chemical and sensory properties of ice cream
    Authors: F Yangilar
    Journal: Food Technology and Biotechnology
    Year: 2015
    Volume: 53(3), pp. 315
    Citations: 77
  • Title: Casein/natamycin edible films efficiency for controlling mould growth and on microbiological, chemical and sensory properties during the ripening of Kashar cheese
    Authors: F Yangilar, P Oğuzhan Yıldız
    Journal: Journal of the Science of Food and Agriculture
    Year: 2016
    Volume: 96(7), pp. 2328-2336
    Citations: 57
  • Title: Effects of using combined essential oils on quality parameters of bio-yogurt
    Authors: F Yangilar, P O Yıldız
    Journal: Journal of Food Processing and Preservation
    Year: 2018
    Volume: 42(1), e13332
    Citations: 56
  • Title: Chitosan/whey protein (CWP) edible films efficiency for controlling mould growth and on microbiological, chemical and sensory properties during storage of Göbek Kashar cheese
    Authors: F Yangilar
    Journal: Korean Journal for Food Science of Animal Resources
    Year: 2015
    Volume: 35(2), pp. 216
    Citations: 33
  • Title: Effects of Different Whey Protein Concentrate Coating on Selected Properties of Rainbow Trout (Oncorhynchus mykiss) During Cold Storage (4°C)
    Authors: P O Yıldız, F Yangilar
    Journal: International Journal of Food Properties
    Year: 2016
    Volume: 19(9), pp. 2007-2015
    Citations: 31
  • Title: Yenilebilir film ve kaplamaların gıda endüstrisinde kullanımı
    Authors: P Oğuzhan, F Yangilar
    Journal: Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
    Year: 2016
    Volume: 5(1)
    Citations: 30
  • Title: Production and evaluation of mineral and nutrient contents, chemical composition, and sensory properties of ice creams fortified with laboratory-prepared peach fibre
    Authors: F Yangilar
    Journal: Food & Nutrition Research
    Year: 2016
    Volume: 60(1), 31882
    Citations: 27

 

Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

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Mr. Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

Assoc. Prof. Dr at Dicle University Department of Civil Engineering, Turkey.

Gultekin Aktas is a distinguished researcher in civil engineering, specializing in structural dynamics and concrete behavior. He holds a PhD in Civil Engineering from Dicle University and has made significant contributions through innovative research on topics such as fresh concrete behavior under vibration, prediction models using artificial neural networks, and mold design for precast concrete elements. Aktas’s work is published in reputable journals like Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, showcasing his technical expertise and diverse methodologies. His research employs advanced computational techniques and experimental validations, reflecting a high level of proficiency. Despite his robust contributions, expanding his focus to include interdisciplinary approaches and increasing collaborative efforts could further enhance his impact. Overall, Aktas’s innovative research and technical skills make him a notable candidate for the Research for Best Researcher Award.

Profile

Education

Gultekin Aktas is a distinguished academic with extensive expertise in civil engineering. He completed his PhD at Dicle University, Diyarbakir, Turkey, where he has been associated with the Engineering Faculty since 1995. His educational background in civil engineering has provided him with a solid foundation in structural analysis, computational methods, and practical applications. During his doctoral studies, Aktas focused on advanced topics in structural dynamics and computational modeling, which have significantly influenced his subsequent research. His work integrates theoretical insights with practical challenges, reflecting his deep understanding of both fundamental concepts and real-world engineering issues. Aktas’s ongoing affiliation with Dicle University highlights his commitment to academic excellence and his role in advancing civil engineering knowledge through both teaching and research.

Professional Experience

Dr. Gultekin Aktas is a distinguished academic in civil engineering, holding a position at the Engineering Faculty of Dicle University in Diyarbakir, Turkey, since 1995. His extensive professional experience encompasses a broad range of research and teaching roles. Aktas has focused on innovative areas such as the behavior of fresh concrete under vibration, finite grid solutions for circular plates, and computer-aided design algorithms for precast concrete elements. His research has been published in leading journals, including Structural Engineering and Mechanics and KSCE Journal of Civil Engineering. Aktas’s expertise lies in employing advanced computational methods and theoretical models to address complex engineering problems, reflecting his commitment to both practical and theoretical advancements in structural engineering. His contributions to the field are marked by a strong emphasis on experimental validation and computational analysis, highlighting his significant role in advancing civil engineering research and education.

Research Skills

Gultekin Aktas possesses a diverse set of research skills that underline his expertise in civil engineering. His proficiency in utilizing advanced computational techniques is evident from his work with mass-spring models, artificial neural networks, and finite grid solutions, which he employs to analyze and predict the behavior of structural elements under various conditions. Aktas demonstrates strong technical abilities in developing and validating algorithms for concrete element design and structural dynamic analysis. His research often involves a blend of theoretical modeling and experimental validation, showcasing his capacity to integrate different methodologies to address complex engineering problems. Additionally, his capability to produce high-quality, peer-reviewed publications reflects his thorough understanding of structural engineering principles and computational methods. Aktas’s adeptness at applying both theoretical and practical approaches underscores his comprehensive skill set and contributes significantly to advancements in civil engineering research.

Award and Recognition

Gultekin Aktas has earned notable recognition for his contributions to civil engineering, particularly in the fields of structural dynamics and concrete behavior. His innovative research has been published in leading journals such as Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, underscoring his impact on the field. Aktas’s work, including his studies on the behavior of fresh concrete under vibration and finite grid solutions for circular plates, has significantly advanced understanding and practical applications in structural engineering. Although specific awards or formal recognitions are not listed, his high-quality publications and influential research demonstrate a strong reputation among peers. Aktas’s contributions reflect his dedication to advancing engineering knowledge and solving complex problems, solidifying his standing as a respected researcher in his domain.

Conclusion

Gultekin Aktas is a strong candidate for the Research for Best Researcher Award. His diverse and innovative research contributions to civil engineering, coupled with his technical proficiency and publication record, demonstrate his significant impact in his field. While there are opportunities to broaden his research focus and enhance his collaborative efforts, Aktas’s accomplishments highlight his potential as a leading researcher. His continuous engagement in cutting-edge research and publication makes him a deserving candidate for this prestigious award.

Publications Top Notes

  1. Examination of Precast Concrete Movement Subjected to Vibration Employing Mass-Spring Model with Two Convective Masses
    • Authors: Aktas, G.
    • Journal: Shock and Vibration
    • Year: 2024
    • Citations: 0
  2. Displacement prediction of precast concrete under vibration using artificial neural networks
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2020
    • Volume: 74(4), pp. 559–565
    • Citations: 3
  3. Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 60(4), pp. 655–665
    • Citations: 11
  4. Investigation of fresh concrete behavior under vibration using mass-spring model
    • Authors: Aktas, G.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 57(3), pp. 425–439
    • Citations: 4
  5. A finite grid solution for circular plates on elastic foundations
    • Authors: Karaşin, H., Gülkan, P., Aktas, G.
    • Journal: KSCE Journal of Civil Engineering
    • Year: 2015
    • Volume: 19(4), pp. 1157–1163
    • Citations: 9
  6. Experimental confirmation for the validity of Ritz method in structural dynamic analysis
    • Authors: Aktas, G., Karasin, A.
    • Journal: Journal of Theoretical and Applied Mechanics (Poland)
    • Year: 2014
    • Volume: 52(4), pp. 981–993
    • Citations: 4
  7. Computer-aided mold design algorithm for precast concrete elements
    • Authors: Aktas, G., Tanrikulu, A.K., Baran, T.
    • Journal: ACI Materials Journal
    • Year: 2014
    • Volume: 111(1), pp. 77–87
    • Citations: 7

 

Ramesh Chandra Aditya Komperla | Prompt Engineering | Best Researcher Award

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Mr. Ramesh Chandra Aditya Komperla | Prompt Engineering | Best Researcher Award

Senior Engineer and Geico, United States

Ramesh Chandra Aditya Komperla is a seasoned researcher and Senior Software Engineer with extensive experience in Artificial Intelligence, Machine Learning, and Deep Learning. Currently working at Geico in Chevy Chase, MD, Ramesh has a notable record of innovation, including a patent for ML-based software components in medical diagnostics and multiple influential publications in healthcare and insurance technology. His work spans across major organizations in both the United States and India, reflecting his broad geographic impact. Ramesh’s research focuses on practical applications that enhance operational efficiencies and improve patient care, demonstrating his commitment to solving real-world problems. His collaborative efforts with various high-profile clients and his contributions to advancing technology in healthcare make him a strong candidate for the Best Researcher Award. His work not only advances scientific knowledge but also addresses critical challenges in healthcare and insurance sectors.

Profile

Education

Ramesh Chandra Aditya Komperla holds a Master of Technology (M.Tech) degree in Computer Science from Andhra University, Visakhapatnam, India, which he completed in May 2007. His education at this esteemed institution provided him with a strong foundation in computer science, encompassing critical areas such as algorithms, data structures, and software engineering. This rigorous academic training equipped him with the analytical and technical skills necessary to excel in his field. Andhra University, known for its comprehensive curriculum and emphasis on research and development, played a crucial role in shaping Ramesh’s career path. His advanced studies laid the groundwork for his later research and professional achievements, particularly in the domains of Artificial Intelligence, Machine Learning, and IT Infrastructure. The combination of theoretical knowledge and practical experience gained during his M.Tech program has been instrumental in his contributions to both academic research and industry applications.

Professional Experience

Ramesh Chandra Aditya Komperla has amassed a wealth of experience in the software engineering field, working with several high-profile clients and organizations. Since June 2020, he has been a Senior Software Engineer at Geico in Chevy Chase, MD, where he applies his expertise in AI, machine learning, and IT infrastructure to develop innovative solutions. Prior to this, he worked with the New York Office of Mental Health, enhancing mental health services through advanced technological solutions. From May 2018 to August 2019, he contributed to CareSource in Dayton, Ohio, improving healthcare delivery systems. Ramesh also held multiple roles at Geico from 2016 to 2018, and prior to that, he gained valuable experience at Cigna, United Health Care, Zurich Insurance, and Microsoft in India. His diverse background includes developing and implementing cutting-edge technologies to optimize operations and improve service delivery across various sectors, showcasing his ability to drive innovation and efficiency.

Research Interests

Ramesh Chandra Aditya Komperla’s research interests lie at the intersection of advanced technologies and their practical applications. His primary focus is on Artificial Intelligence, Machine Learning, and Deep Learning, where he explores innovative methods to enhance system efficiency and intelligence. He delves into Computer Architecture to optimize the underlying hardware supporting AI algorithms, ensuring robust and scalable solutions. Additionally, Ramesh is passionate about IT Infrastructure, striving to create resilient and efficient frameworks that support large-scale data processing and analysis. His research extends to the healthcare and insurance sectors, where he applies AI to streamline operations, improve diagnostics, and enhance patient care. Ramesh’s work on AI-enhanced claims processing and fraud detection demonstrates his commitment to leveraging technology for real-world problem-solving. His interdisciplinary approach and focus on practical applications make his research highly relevant and impactful across multiple domains.

Research Skills

Ramesh Chandra Aditya Komperla possesses a robust set of research skills that span various advanced technological domains. His expertise in Artificial Intelligence, Machine Learning, and Deep Learning demonstrates his capability to handle complex algorithms and data-driven methodologies. Ramesh’s proficiency in Computer Architecture and IT Infrastructure further underscores his ability to design and manage sophisticated computing systems. His practical experience is evidenced by his published works, including a patent on ML-based supervising and recovering software components for medical diagnostics instruments, showcasing his innovative approach to solving real-world problems. Additionally, Ramesh excels in applied research, particularly in healthcare and insurance sectors, where his AI-enhanced solutions have streamlined operations and improved diagnostics. His collaborative work with prominent organizations like Geico, United Health Care, and Microsoft highlights his ability to lead and contribute to multi-disciplinary research projects. Overall, Ramesh’s diverse skill set and practical research applications make him a distinguished researcher in his field.

Awards and Recognition

Although specific awards are not mentioned in the provided information, Ramesh’s extensive list of publications in reputable journals and his patent indicate a high level of recognition in his field. His work is innovative and impactful, meeting the criteria for the Best Researcher Award.

Conclusion

Ramesh Chandra Aditya Komperla’s extensive research portfolio, his contributions to AI and healthcare, his collaborative efforts with various organizations, and the practical applications of his work make him a strong candidate for the Best Researcher Award. His research not only advances scientific knowledge but also addresses real-world problems, providing significant benefits to the community and industry.

Publications Top Notes

  1. Advancing Healthcare Outcomes Through Machine Learning Innovations
  2. A Novel Approach to Diabetic Foot Ulcer Prediction: Pedographic Classification Using ELM-PSO
    • Authors: Not specified
    • Type: Conference Paper
    • Conference: 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)
    • Publication Date: May 2, 2024
    • DOI: 10.1109/iceccc61767.2024.10593926
  3. Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis
  4. Assessing Real-Time Health Impacts of Outdoor Air Pollution through IoT Integration
    • Authors: Not specified
    • Journal: Engineering, Technology & Applied Science Research
    • Publication Date: April 2, 2024
    • DOI: 10.48084/etasr.6981
  5. The Auto Health Revolution: AI Strategies For Insurance And Healthcare
    • Authors: Not specified
    • Journal: International Neurourology Journal
    • Publication Date: December 30, 2023
    • Citations: 0
  6. Role of Technology in Shaping the Future of Healthcare Professions
    • Authors: Not specified
    • Journal: FMDB Transactions on Sustainable Technoprise Letters
    • Publication Date: December 18, 2023
  7. How Can AI Help in Fraudulent Claim Identification
    • Authors: Not specified
    • Journal: Journal of Research Administration
    • Publication Date: December 11, 2023
  8. Revolutionizing Patient Care with Connected Healthcare Solutions
    • Authors: Not specified
    • Journal: FMDB Transactions on Sustainable Health Science Letters
    • Publication Date: March 12, 2023
  9. Deep Learning Diagnostics: A Revolutionary Approach to Healthcare Insurance
    • Authors: Not specified
    • Journal: International Neurourology Journal
    • Publication Date: December 30, 2022
  10. Artificial Intelligence and the Future of Auto Health Coverage
    • Authors: Not specified
    • Journal: Journal of Research Administration
    • Publication Date: December 28, 2022