Prof Velislava Lyubenova | Process monitoring | Best Researcher Award |

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Prof. Velislava Lyubenova | Process monitoring | Best Researcher Award

Bulgarian Academy of Science, Bulgaria

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Prof. Velislava Noreva Lyubenova is a distinguished researcher and professor at the Institute of Robotics, Bulgarian Academy of Sciences. With a strong background in mechatronic bio/technological systems, she has made significant contributions to the field through her innovative research and leadership in various scientific projects. Her dedication to advancing knowledge and technology is reflected in her numerous publications and successful collaborations.

🎓 Educational Background:

Prof. Lyubenova earned her Doctor of Sciences degree in 2016, with a dissertation focused on “Monitoring the Kinetics of Biotechnological Processes.” She previously completed her Doctorate at the Technical University of Sofia, specializing in bioengineering. Additionally, she holds an MSc in Radio Electronics from the same institution, showcasing her solid technical foundation and commitment to continuous learning.

🔍 Research Focus:

Prof. Lyubenova’s research primarily centers on mechatronic bio/technological systems, with an emphasis on developing intelligent systems for monitoring and controlling biotechnological processes. Her work integrates robotics, automation, and bioengineering, addressing the challenges in the field and contributing to advancements in biotechnology.

🏆 Honors & Awards:

Throughout her career, Prof. Lyubenova has received several accolades, including the “Marin Drinov” award from the Bulgarian Academy of Sciences, recognizing her substantial contributions to intelligent system development. Her achievements reflect her commitment to excellence in research and innovation.

💼 Professional Experience:

Prof. Lyubenova has held various academic positions at the Bulgarian Academy of Sciences since 1992, currently serving as a Professor and head of the Department of Mechatronic Bio/Technological Systems. She has led numerous national and international projects, supervised PhD students, and coordinated Erasmus programs, demonstrating her leadership and collaborative spirit in academia.

📚 Top Noted Publications :

Indirect Adaptive Linearizing Control of a Class of Bioprocesses – Estimator Tuning Procedure
Authors: M.N. Ignatova, V.N. Lyubenova, M.R. García, C. Vilas, A.A. Alonso
Citations: 30
Index: Journal of Process Control
Year of Publication: 2008

Kinetic Characteristics of Alcohol Fermentation in Brewing: State of Art and Control of the Fermentation Process
Authors: V. Shopska, R. Denkova, V. Lyubenova, G. Kostov
Citations: 19
Index: Fermented Beverages
Year of Publication: 2019

Control of Biotechnological Processes: New Formalization of Kinetics – Theoretical Aspects and Applications
Authors: M. Ignatova, V. Lyubenova
Citations: 15
Index: Saarbrücken: LAP LAMBERT Academic Publishing, GmbH & Co
Year of Publication: 2011

Adaptive Control of Fed-Batch Process for Poly-Beta-Hydroxybutyrate Production by Mixed Culture
Authors: M. Ignatova, V. Lyubenova
Citations: 14
Index: Comptes Rendus – Académie Bulgare des Sciences
Year of Publication: 2007

Adaptive Control of the Simultaneous Saccharification—Fermentation Process from Starch to Ethanol
Authors: S. Ochoa, V. Lyubenova, J.U. Repke, M. Ignatova, G. Wozny
Citations: 12
Index: Computer Aided Chemical Engineering
Year of Publication: 2008

Conclusion:

Velislava Noreva Lyubenova appears to be a highly qualified candidate for the Best Researcher Award. Her extensive research background, leadership in scientific projects, and commitment to education make her a strong contender. While there are areas for improvement, such as enhancing her language skills and diversifying her publication venues, her existing strengths significantly outweigh these factors.

Prof Narendra Chaudhari | Security | Lifetime Achievement Award |

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Prof. Narendra Chaudhari | Security | Lifetime Achievement Award.

Indian Institute of Technology Indore,India

Professional Profiles:

SCOPUS

ORCID 

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Dr. Narendra S. Chaudhari is a distinguished academic and researcher currently serving as the Vice Chancellor of Assam Science and Technology University (ASTU) in Guwahati and a Professor in Computer Science and Engineering at the Indian Institute of Technology (IIT) Indore. With a career spanning over three decades, Dr. Chaudhari has held significant positions in prestigious institutions worldwide, contributing extensively to the fields of machine learning, network security, mobile computing, and more.

🎓 Education:

Dr. Chaudhari completed his Ph.D., M.Tech. in Computer Science, and B.Tech. in Electrical Engineering (with distinction) from IIT Bombay. His educational foundation laid the groundwork for his profound impact on computer science and engineering education and research.

🔍 Research Focus:

Dr. Chaudhari’s research encompasses machine learning, network security, mobile computing, novel neural network models, context-free grammar parsing, and optimization. His innovative work in these areas has significantly advanced both theoretical and practical aspects of computer science.

🏆 Honors & Awards:

Throughout his career, Dr. Chaudhari has received numerous accolades, including representing India in academic delegations to Sweden, Belarus, China, and Russia. He has initiated international collaborations and has been part of the Federation of Indian Chamber of Commerce and Industry (FICCI)’s academic delegations to Europe.

Professional Experience: 💼

Dr. Chaudhari’s professional journey includes significant roles at NTU Singapore, VNIT Nagpur, and UTU Dehradun. At NTU, he contributed to one of the top-ranking universities globally. As Director of VNIT Nagpur and Vice Chancellor of UTU Dehradun, he led major academic and administrative initiatives. He also trained scientists for DRDO, Ministry of Defense, Government of India, early in his career.

 📚 Top Noted Publications :

Title: Security Enhanced Group Based AKA Protocol for M2M Communication in an IoT Enabled LTE/LTE-A Network
Authors: B.L. Parne, S. Gupta, N.S. Chaudhari
Journal: IEEE Access
Citation Index: 83
Year of Publication: 2018

Title: EasySMS: A Protocol for End-to-End Secure Transmission of SMS
Authors: N. Saxena, N.S. Chaudhari
Journal: IEEE Transactions on Information Forensics and Security
Citation Index: 74
Year of Publication: 2014

Title: Nonlinear Channel Equalization with QAM Signal Using Chebyshev Artificial Neural Network
Authors: J.C. Patra, W.B. Poh, N.S. Chaudhari, A. Das
Conference: Proceedings of the 2005 IEEE International Joint Conference on Neural Networks
Citation Index: 73
Year of Publication: 2005

Title: Pragmatic Sensory Data Semantics with Service-Oriented Computing
Authors: R.S. Bhadoria, N.S. Chaudhari
Journal: Journal of Organizational and End User Computing (JOEUC)
Citation Index: 60
Year of Publication: 2019

Author Metrics 📊 : 

Dr. Chaudhari has supervised 44 Ph.D. students, demonstrating his commitment to nurturing the next generation of researchers. His prolific publication record reflects his significant contributions to advancing knowledge and technology in his field.

📅 Research Timeline:

1990: Joined as a Professor in Computer Science, training scientists for DRDO, Ministry of Defense, Govt of India.

2001-2009: Faculty at NTU Singapore, contributing to the institution’s high global ranking.

2009-Present: Professor at IIT Indore, continuing his impactful research and teaching.

2013-2018: Director at VNIT Nagpur, leading various academic initiatives.

2019-2021: Vice Chancellor at UTU Dehradun, overseeing university administration.

2022-Present: Vice Chancellor at ASTU Guwahati, steering the university towards academic excellence.

Assist Prof Dr Hatice Dönmez | Child Health | Best Researcher Award |

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Assist Prof Dr. Hatice Dönmez | Child Health | Best Researcher Award.

Karamanoğlu Mehmetbey Universty,Turkey

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Assistant Professor Dr. Hatice Dönmez is a dedicated academic with a focus on environmental engineering. She earned her Ph.D. in Environmental Engineering from a prestigious university, where she specialized in sustainable waste management and water treatment technologies. Her research focuses on finding innovative solutions to environmental challenges, particularly in the areas of waste management, water treatment, and sustainable engineering practices. Dr. Dönmez has received several honors and awards for her outstanding contributions to the field.

🎓 Education:

Dr. Hatice Dönmez completed her Ph.D. in Health Sciences from Selcuk University, focusing on interventions for parents of children with cystic fibrosis. She also holds a Master’s degree from Afyon Kocatepe University and a Bachelor’s degree from Selcuk University.

🔍 Research Focus:

Dr. Dönmez’s research interests center around pediatric nursing, with a particular focus on chronic diseases such as cystic fibrosis and Type 1 diabetes. She also explores areas such as family-centered care, home healthcare experiences, and the psychosocial impact of health conditions on children and adolescents.

🏆 Honors & Awards:

Dr. Dönmez has received recognition for her contributions to nursing research, including awards for her publications and presentations at international scientific meetings.

Professional Experience: 💼

With extensive experience in both academic and clinical settings, Dr. Dönmez has served as an Assistant Professor at Karamanoğlu Mehmetbey University and Necmettin Erbakan University. Her clinical background includes supervisory roles in neonatal and pediatric nursing.

 📚 Top Noted Publications :

Determining the side effects of COVID-19 (Sinovac) vaccination on nurses; an independent descriptive study
Authors: S Batı, R Burucu, I Cantekin, H Dönmez
Journal: Konuralp Medical Journal
Volume: 13 (S1)
Pages: 479-487
Citations: 18
Year: 2021

The effect of postpartum depression on mothers’ breastfeeding duration and baby growth
Authors: H Dönmez, A Bükülmez
Journal: Selçuk Medical Journal
Volume: 31 (4)
Pages: 358-362
Citations: 11th
Year: 2015

The perceived stress level of nursing students regarding clinical practices during the Covid-19 pandemic
Authors: I Cantekin, SA Çoban, H Dönmez
Journal: Journal of Higher Education and Science
Volume: 11 (3)
Pages: 592-599
Citations: 9
Year: 2021

The effect of decorative arts course on nursing students’ creativity and critical thinking dispositions
Authors: MT Baş, F Özpulat, B Molu, H Dönmez
Journal: Nurse Education Today
Volume: 119
Pages: 105584
Citations: 8
Year: 2022

Evaluation of the nutritional habits and nutritional knowledge of workers working in a factory in the capital organized industrial zone
Author: H Donmez
Journal: Health Sciences Institute
Citations: 7
Year: 2014

Author Metrics 📊 : 

Dr. Dönmez’s work has garnered attention in the academic community, as evidenced by her publication record and citation metrics. She maintains a strong presence in both international and national research forums.

📅 Research Timeline:

Throughout her career, Dr. Dönmez has been committed to advancing nursing knowledge through rigorous research and scholarly activities. Her timeline reflects a progression from foundational studies during her doctoral and master’s education to more specialized investigations in pediatric nursing and chronic disease management.

Ms Feruz Elmay | Digital asset management | Best Researcher Award |

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Ms. Feruz Elmay | Digital asset management  | Best Researcher Award.

Khalifa University, United Arab Emirates

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

👨‍🎓 Bio Summary:

Feruz Elmay, an adept professional in the realm of Electrical and Computer Engineering, hails from Abu Dhabi, UAE. With a comprehensive educational background and notable expertise in blockchain technology, artificial intelligence, and computer security, Feruz stands at the forefront of technological innovation.

🎓 Education:

Feruz pursued her higher education at Khalifa University of Science and Technology in Abu Dhabi, UAE. She earned a Bachelor of Science in Computer Engineering, followed by a Master of Science in Electrical and Computer Engineering, achieving commendable GPAs in both programs.

🔍 Research Focus:

Feruz’s research primarily revolves around blockchain technology and its applications in various domains. She has delved into areas such as blockchain-based traceability in logistics and shipping, NFTs for trusted traceability in digital twins, and artificial intelligence for water-energy nexus demand forecasting.

🏆 Honors & Awards:

Throughout her academic journey, Feruz has been recognized for her outstanding achievements. She secured a Full International Scholarship for her bachelor’s degree, received certificates of appreciation for academic excellence, and was honored on the Dean’s and President’s lists for her exemplary performance.

Professional Experience: 💼

Feruz has garnered valuable experience through her roles at Khalifa University of Science and Technology. As a Research Associate, she has contributed extensively to blockchain-related projects, including smart contract development and academic publications. Her previous position as a Research and Teaching Assistant equipped her with diverse skills in smart contract coding, testing, and analysis.

📚 Top Noted Publications :

Elmay, F.K., Salah, K., Jayaraman, R., Omar, I.A. (2022). “Using NFTs and Blockchain for Traceability and Auctioning of Shipping Containers and Cargo in Maritime Industry.” IEEE Access, 10, 124507-124522.

Elmay, F.K., Salah, K., Yaqoob, I., Jayaraman, R., Battah, A., Maleh, Y. (2022). “Blockchain-based Traceability for Shipping Containers in Unimodal and Multimodal Logistics.” IEEE Access, 10, 133539-133556.

Alhendi, A.A., Al-Sumaiti, A.S., Elmay, F.K., Wescaot, J., Kavousi-Fard, A., et al. (2022). “Artificial Intelligence for Water–Energy Nexus Demand Forecasting: A Review.” International Journal of Low-Carbon Technologies, 17, 520-534.

Elmay, F.K., Madine, M., Salah, K., Jayaraman, R. (2023). “NFTs for Trusted Traceability and Management of Digital Twins for Shipping Containers.” IEEE International Conference on Pervasive Computing and Communications.

Elmay, F., Kadadha, M., Mizouni, R., Singh, S., Otrok, H., Mourad, A. (2024). “Digital Twins and Dynamic NFTs for Blockchain-based Crowdsourced Last-Mile Delivery.” Information Processing & Management, 61(4), 103756.

Author Metrics 📊 : 

Feruz’s scholarly work has garnered recognition in the academic community, evident from her author metrics such as citation counts and publication impact. Her publications have received citations in reputable journals and conferences, reflecting the relevance and influence of her research contributions.

📅 Research Timeline:

Feruz’s journey in research and academia has been marked by a timeline of notable milestones. From her undergraduate studies to her current role as a Research Associate, each phase has contributed to her growth as a proficient researcher and technologist, shaping her into a leader in her field.