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.

Mr Yupeng Niu | Bioinformatics | Best Researcher Award |

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Mr Yupeng Niu | Bioinformatics | Best Researcher Award.

Sichuan Agricultural University,China

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Mr. Yupeng Niu is a dedicated student at Sichuan Agricultural University pursuing a Bachelor’s degree in Computer Science and Technology. With a remarkable Cumulative GPA of 91.70/100, he stands out as the 15th among 202 students in his class. His academic journey has been adorned with numerous accolades, including national and provincial awards for his outstanding performance in competitions such as the “Innovation Cup” National College Students’ Employment Competence Competition and the IEEE UV Innovation Solution Competition.

🎓 Education:

From September 2021 to June 2025, Mr. Niu is pursuing his Bachelor’s degree in Computer Science and Technology at Sichuan Agricultural University, as part of the prestigious 211 Project and Double First-Class Initiative. He has demonstrated academic excellence with a cumulative GPA of 91.70/100, securing the 15th position out of 202 students. His coursework includes fundamental subjects such as Python Programming, Linear Algebra, and Circuit Theory, among others.

🔍 Research Focus:

Mr. Niu’s research interests encompass a diverse array of topics within the realm of computer science and technology. He has demonstrated proficiency in AI applications, particularly in the fields of image recognition, predictive modeling, and natural language processing. His recent projects have focused on areas such as detection algorithms for agricultural applications, predictive modeling for vaccine distribution, and peptide screening for biomedical purposes.

🏆 Honors & Awards:

Throughout his academic journey, Mr. Niu has been consistently recognized for his outstanding achievements. He has received prestigious honors including a National Special Prize in the “Innovation Cup” National College Students’ Employment Competence Competition, First Prize in the IEEE UV Innovation Solution Competition, and Second Prize in the China Robot Competition and TechChallenge. His contributions have also been acknowledged with provincial awards and recognition in various extracurricular competitions.

Professional Experience: 💼

Mr. Niu’s professional experience encompasses diverse roles, including his tenure as an Algorithm Intern at Baidu, where he was entrusted with responsibilities such as preprocessing datasets and training models using Baidu PaddlePaddle Easy DL. He was later appointed as a Baidu PaddlePaddle Developer Technical Expert, contributing significantly to the development of online courses and serving as a leader within the Baidu PaddlePaddle Pioneer Group

📚 Top Noted Publications :

Title: Efficient screening of pharmacological broad-spectrum anti-cancer peptides utilizing advanced bidirectional Encoder representation from Transformers strategy

Authors: Niu, Y., Li, Z., Chen, Z., … Wei, J., Mu, J.

Journal: Heliyon

Volume and Issue: 10(9)

Pages: e30373

Year: 2024

 

Title: YOLO-plum: A high precision and real-time improved algorithm for plum recognition

Authors: Niu, Y., Lu, M., Liang, X., Wu, Q., Mu, J.

Journal: PLoS ONE

Volume and Issue: 18(7 July)

Pages: e0287778

Year: 2023

Citations: 3

 

Title: Application of Deep Learning in Image Recognition of Citrus Pests

Authors: Jia, X., Jiang, X., Li, Z., … Wang, Y., Niu, Y.

Journal: Agriculture (Switzerland)

Volume and Issue: 13(5)

Pages: 1023

Year: 2023

Citations: 4

 

Title: Vaccine Prediction and Distribution Model under the New Situation in China Based on Informer

Authors: Niu, Y., Xu, J., Tan, J.

Conference: 6th IEEE International Conference on Universal Village, UV 2022

Year: 2022

 

Author Metrics 📊 : 

As a prolific researcher, Mr. Niu has demonstrated impressive author metrics, with publications in reputable journals and conferences. His works have garnered attention within the academic community, as reflected in citation counts and impact factors. His contributions have contributed to advancing knowledge and fostering innovation in his areas of expertise.

📅 Research Timeline:

Mr. Niu’s research journey spans multiple projects and initiatives, each marked by significant achievements and milestones. From his early endeavors in agricultural detection algorithms to his recent focus on biomedical applications of AI, he has continuously pushed the boundaries of knowledge and innovation. His timeline reflects a trajectory of growth and impact, with each project contributing to his development as a researcher and a leader in his field.