Prof Jumin Zhao | Internet of things | Best Researcher Award |

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Prof. Jumin Zhao | Internet of things | Best Researcher Award.

Taiyuan university of technology,China

Professional Profiles:

SCOPUS

👨‍🎓 Bio Summary:

Prof. Jumin Zhao is a distinguished academic at Taiyuan University of Technology, serving as a professor at the College of Electronic Information and Optical Engineering and as the director of the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. Her extensive research interests encompass intelligent perception and Internet of Things (IoT) technology. A senior member of the China Computer Federation (CCF) and deputy secretary general of the Taiyuan Branch of the Association for Computing Machinery (ACM), she has made significant contributions to her field through numerous projects, patents, and publications.

🎓 Education:

Prof. Zhao earned her Ph.D. from Taiyuan University of Technology in 2008, marking the beginning of her illustrious career in electronic information and optical engineering.

🔍 Research Focus:

Her primary research areas include intelligent perception and IoT technology, where she has driven forward innovative solutions and applications that bridge the gap between theoretical research and practical implementations.

🏆 Honors & Awards:

Prof. Zhao has been recognized for her contributions with numerous awards and honors at both national and provincial levels, celebrating her impact on technological advancements and academic excellence.

Professional Experience: 💼

In addition to her teaching and research roles, Prof. Zhao leads the Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province. She has presided over 25 national and provincial projects, demonstrating her leadership and expertise in her field.

 📚 Top Noted Publications :

Title: Investigation and Experimental Study on Gearbox Vibration Fault Diagnosis Method Based on Fusion Feature Convolutional Learning Network
Authors: Zhu, X., Ye, X., Wang, R., Han, Z., Gao, X.
Journal: Experimental Techniques
Citation Index: 2
Year of Publication: 2023

Title: GNSS Multipath Mitigation Method Based on K-means Classification in Urban Environment
Authors: Gong, J., Ma, R., Li, D., Zhao, J.
Journal: Journal of the Indian Society of Remote Sensing
Citation Index: 4
Year of Publication: 2022

Title: Graph Neural Networks: Taxonomy, Advances, and Trends
Authors: Zhou, Y., Zheng, H., Huang, X., Li, D., Zhao, J.
Journal: ACM Transactions on Intelligent Systems and Technology
Citation Index: 53
Year of Publication: 2022

Title: Improved U-Net Based on Contour Prediction for Efficient Segmentation of Rectal Cancer
Authors: Li, D., Chu, X., Cui, Y., Zhang, K., Yang, X.
Journal: Computer Methods and Programs in Biomedicine
Citation Index: 19
Year of Publication: 2022

Title: Recognition of Honeycomb Lung in CT Images Based on Improved MobileNet Model
Authors: Gang, L., Haixuan, Z., Linning, E., Yu, L., Juming, Z.
Journal: Medical Physics
Citation Index: 15
Year of Publication: 2021

Author Metrics 📊 : 

Her extensive research output and impact are reflected in her author metrics, which highlight her influence and standing in the academic community.

📅 Research Timeline:

From earning her Ph.D. in 2008 to her current roles and achievements, Prof. Zhao’s career trajectory has been marked by continuous growth and significant contributions to electronic information and optical engineering, particularly in intelligent perception and IoT technology.

Mrs sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award |

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Mrs. sasirekha R | MOBILE SUSTAINABLE NETWORKS | Best Researcher Award.

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Mrs. Sasirekha R is an accomplished Computer Science and Engineering professor with over five years of experience in teaching. She is recognized for her disciplined approach and expertise in programming, with a significant following among students. Currently pursuing her Ph.D. at SRM Institute of Science and Technology, Chennai, she excels in managing multiple assignments under tight deadlines and is adept at envisioning and implementing new concepts in her field.

🎓 Education:

Mrs. Sasirekha is currently pursuing her Ph.D. in Computer Science and Engineering at SRM Institute of Science and Technology, Chennai. She holds a Master’s degree in Engineering (2012-2014) from Magna College of Engineering, Anna University, Chennai, and a Bachelor’s degree in Information Technology (2006-2010) from Thangavelu Engineering College, Anna University, Chennai.

🔍 Research Focus:

Her research interests encompass Machine Learning, Data Mining, Artificial Intelligence, Data Analytics, Deep Learning, and Natural Language Processing. She has a strong technical background, including proficiency in various programming languages such as Java, Python, C++, R, and ASP.NET.

🏆 Honors & Awards:

Mrs. Sasirekha has received a recommendation for her article titled “Suspension Control Sensors Embedded with Smart Grid- Smart Car System,” published in Procedia Computer Science, Volume 230, 2023. The article highlights her innovative work on integrating sensors into vehicular systems to enhance safety and prevent accidents.

Professional Experience: 💼

Mrs. Sasirekha currently serves as an Assistant Professor in the Computer Science & Engineering department at Sathyabama Institute of Science and Technology, Chennai, since January 2023. She was a Research Scholar in Computing Technologies at SRM Institute of Science and Technology from February 2021 to January 2023. Prior to that, she held the position of Assistant Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College and PMR Engineering College. She began her teaching career at Thangavelu Engineering College in 2015.

 📚 Top Noted Publications :

Title: Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic
Authors: V Mahalakshmi, A Balobaid, B Kanisha, R Sasirekha, M Ramkumar Raja
Citation: Healthcare 11 (6), 854
Index: 6
Year of Publication: 2023

Title: Study on Class Imbalance Problem with Modified KNN for Classification
Authors: R Sasirekha, B Kanisha, S Kaliraj
Citation: Intelligent Data Communication Technologies and Internet of Things
Index: 3
Year of Publication: 2022

Title: KNN Based Peak-LOF for Outlier Detection
Authors: R Sasirekha, B Kanisha
Citation: 2022 International Conference on Innovative Computing, Intelligent
Index: 2
Year of Publication: 2022

Title: RESMOTE: A New Approach for Class Imbalance Problem
Authors: S Ra, K Bb
Citation: Recent Developments in Electronics and Communication Systems: Proceedings of
Index: 1
Year of Publication: 2023

Title: Randomized Ensemble Approach with ID3 Algorithm For the Prediction datasets with Imbalance Problem
Authors: BK, R Sasirekha
Citation: International Journal on Recent and Innovation Trends in Computing and
Index:
Year of Publication: 2023

Author Metrics 📊 : 

Mrs. Sasirekha’s research work has been published in reputable journals and has garnered attention in the academic community for its innovative approaches and real-world applications.

📅 Research Timeline:

Mrs. Sasirekha’s research journey includes her tenure as a Research Scholar at SRM Institute of Science and Technology, where she delved into advanced computing technologies. Her academic career has been marked by continuous learning and contributions to the field of Computer Science and Engineering.

Dr Maziar Naderi | Water Treatment | Young Scientist Award |

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Dr. Maziar Naderi |  Water Treatment | Young Scientist Award.

Tehran University of Medical Sciences,Iran

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

Dr. Maziar Naderi, a distinguished Environmental Health Engineer, specializes in advanced water treatment methods, including electrochemical processes and magnetic water treatment. A prominent member of the National Elite Foundation, he has made significant contributions to water disinfection research. Dr. Naderi, aged 35, resides in Tehran, Iran, and holds a Ph.D. from Tehran University of Medical Sciences. He has published extensively in reputable journals, demonstrating his commitment to advancing environmental health engineering.

🎓 Education:

Dr. Maziar Naderi completed his Ph.D. in Environmental Health Engineering at Tehran University of Medical Sciences, ranking 5th in his entrance exam. His academic journey has been marked by a focus on innovative water treatment techniques, particularly electrochemical and magnetic processes.

🔍 Research Focus:

Dr. Naderi’s research primarily revolves around water treatment technologies. His work includes developing electrochemical processes for water purification, optimizing magnetic water treatment methods, and enhancing water disinfection techniques. His studies aim to improve water quality and address environmental health challenges.

🏆 Honors & Awards:

Dr. Naderi is a recognized member of the National Elite Foundation, reflecting his outstanding contributions to the field of environmental health engineering. His innovative research has earned him accolades and recognition within the scientific community.

Professional Experience: 💼

Dr. Naderi has a robust professional background, encompassing both academic and research roles. His experience includes conducting advanced research in water treatment technologies and collaborating with various institutions to address environmental health issues. He has played a pivotal role in numerous research projects and has been instrumental in advancing water treatment methodologies.

 📚 Top Noted Publications :

Evaluating the Effect of Mindfulness-Based Cognitive Therapy (MBCT) on Sexual Function and Sexual Self-Efficacy of Postpartum Women: A Systematic Review

Authors: Erfanifar, E., Abbaspoor, Z., Khaksar Boldaji, S., Moghimi, S., Javadzadeh, M.

Citation: Sexuality and Disability, 2024, 42(2), pp. 317–348

Index: This link is disabled.

Year: 2024

 

Magnetic Treatment as a Suppressive Method for CaCO3 Scale Deposition in Hard Waters in the Presence of Air Bubbles

Authors: Naderi, M., Past, V., Mahvi, A.H.

Citation: Desalination and Water Treatment, 2024, 318, 100249

Index: This link is disabled.

Year: 2024

 

The Correlation Between Echinoderms Diversity and Physicochemical Parameters in Marine Pollution: A Case Study of the Persian Gulf Coastline

Authors: Soltani, S., Ghatrami, E.R., Nabavi, S.M.B., Khorasani, N., Naderi, M.

Citation: Marine Pollution Bulletin, 2024, 199, 115989

Index: This link is disabled.

Year: 2024

 

Therapeutic Effects of Garlic (Allium sativum) on Female Reproductive System: A Systematic Review

Authors: Jafari, F., Khalilzadeh, S., Nejatbakhsh, F., Naderi, M.

Citation: Heliyon, 2023, 9(12), e22555

Index: This link is disabled.

Year: 2023

 

Investigation of Melamine and Cyanuric Acid Concentration in Several Brands of Liquid Milk and its Non-Carcinogenic Risk Assessment in Adults and Infants

Authors: Abedini, R., Khaniki, G.J., Naderi, M., Aghaee, E.M., Sadighara, P.

Citation: Journal of Food Science and Technology, 2023, 60(12), pp. 3054–3066

Index: This link is disabled.

Year: 2023

 

Management of the Construction and Demolition Waste (CDW) and Determination of the Best Disposal Alternative by FAHP (Fuzzy Analytic Hierarchy Process): A Case Study of Tehran, Iran

Authors: Past, V., Yaghmaeian, K., Naderi, M., Naderi, N.

Citation: Journal of the Air and Waste Management Association, 2023, 73(4), pp. 271–284

Index: This link is disabled.

Year: 2023

Author Metrics 📊 : 

Dr. Naderi’s research has been widely recognized and cited within the scientific community. His work is noted for its innovation and practical applications in environmental health engineering. He has established a strong reputation through his extensive publications and contributions to the field.

📅 Research Timeline:

2015: Measurement of Total Amount of Volatile Organic Compounds in Fresh and Indoor Air (Iran South Med Journal)

2016: Determination of Toxic Metals Pollution in Vermicompost (Iranian Journal of Health and Environment)

2017: Selection of Best Management Method for Construction Waste Disposal (Iranian Journal of Health and Environment)

2018: The Electrochemical Removal of Bacteria from Drinking Water (Desalination and Water Treatment Journal)

2019: Survey of Magnetic Field Effect on Arsenic Removal (Journal of Environmental Studies)

2020: Optimization of Free Chlorine in Electrochemical Reactors (Desalination and Water Treatment Journal)

2021: Mechanical Trajectory Control in Electrochemical-Magnetic Reactors (Desalination and Water Treatment Journal)

2022: Effect of Ozone on Inactivation of Airborne Viruses (Tehran University Medical Journal)

2023: Electrochemical-Magnetic Method for Recovery of Concentrated Effluent (Desalination and Water Treatment Journal)

Mr Mohamed OUHSSINI | Cloud security | Best Research Article Award |

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Mr. Mohamed OUHSSINI | Cloud security | Best Research Article Award.

University IBN Zohr,Morocco

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Mohamed OUHSSINI is a Professor in the Computer Science Department at University IBN ZHOR in Agadir, Morocco. His expertise spans cloud security, DDoS attack detection and mitigation, and the applications of machine learning and deep learning in IoT security. He has significantly contributed to advancing research and education in computer science, particularly in cybersecurity.

🎓 Education:

Mohamed OUHSSINI earned a Master’s degree in Computer Science in 2017. This academic background laid the foundation for his expertise in cloud security and related technologies, enabling him to address complex challenges in the field.

🔍 Research Focus:

Mohamed’s research interests include cloud security, DDoS attacks detection and mitigation, deep learning, machine learning, and IoT security. He focuses on developing comprehensive frameworks and proactive systems for detecting and preventing cyber threats in cloud environments.

🏆 Honors & Awards:

Throughout his career, Mohamed has received recognition for his contributions to computer science. His innovative approaches to cloud security and DDoS attack mitigation have garnered accolades in both academic and professional circles.

Professional Experience: 💼

Mohamed has been a Professor in high school for seven years, where he has dedicated himself to teaching and mentoring students in computer science. His practical experience in the field complements his academic endeavors, providing a well-rounded perspective on cybersecurity challenges and solutions.

📚 Top Noted Publications :

DeepDefend: A comprehensive framework for DDoS attack detection and prevention in cloud computing”
Ouhssini, M., Afdel, K., Agherrabi, E., Akouhar, M., Abarda, A.
Journal of King Saud University – Computer and Information Sciences, 2024, 36(2), 101938
This paper presents a comprehensive framework for detecting and preventing DDoS attacks in cloud computing environments.

“Distributed intrusion detection system in the cloud environment based on Apache Kafka and Apache Spark”
Ouhssini, M., Afdel, K., Idhammad, M., Agherrabi, E.
5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021, 2021
This conference paper discusses a distributed intrusion detection system leveraging Apache Kafka and Apache Spark, cited 4 times.

“Towards a Proactive System of DDoS Attacks Detection in the Cloud”
Ouhssini, M., Afdel, K., Agherrabi, E.
Advances in Intelligent Systems and Computing, 2021, 1383 AISC, pp. 921–933
This conference paper explores a proactive system for detecting DDoS attacks in the cloud, aimed at enhancing security measures.

Author Metrics 📊 : 

Mohamed’s research contributions are reflected in his author metrics, with notable presence on platforms such as ORCID, ResearchGate, and Google Scholar. His Google Scholar profile, for example, showcases numerous citations and a strong h-index, highlighting the influence of his work in the academic community.

📅 Research Timeline:

Since obtaining his Master’s degree in 2017, Mohamed has consistently advanced his research in computer science. Over the past seven years, he has developed and refined methodologies for enhancing cloud security and mitigating DDoS attacks. His research timeline illustrates a dedicated effort to address pressing issues in cybersecurity through innovative solutions and collaborative projects.

Assoc Prof Dr Sultan Khan | Computer vision | Best Researcher Award |

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Assoc Prof Dr. Sultan Khan | Computer vision | Best Researcher Award.

National University of Technology,Pakistan

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Sultan Daud Khan is an accomplished researcher and academic, currently serving as the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024. He is also an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad, Pakistan, a position he has held since October 2019.

🎓 Education:

Dr. Khan’s academic journey includes a Ph.D. in Computer Science from the University of Milano-Bicocca in Italy (2013–2016). He earned his MSc in Electronics and Communication Engineering from Hanyang University in South Korea (2008–2008) and completed his BSc in Computer System Engineering from the University of Engineering and Technology in Peshawar, Pakistan (2001–2005).

🔍 Research Focus:

Dr. Khan’s research interests are diverse and include artificial intelligence, image processing, video watermarking, EEG/brain signal analysis, human action recognition, computer vision algorithms on FPGAs, and embedded systems design. His work aims to advance knowledge and practical applications in these areas, contributing significantly to the field.

🏆 Honors & Awards:

In 2023, Dr. Khan was recognized as one of the world’s top 2% of scientists in the field of Artificial Intelligence according to Stanford University’s ranking index. This prestigious recognition underscores his significant contributions and impact in his field of expertise.

Professional Experience: 💼

Dr. Khan has held several key positions throughout his career. He is the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024 and has been an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad since October 2019. His roles have involved significant academic leadership and research responsibilities.

📚 Top Noted Publications :

Detecting Drones Using Deep Convolutional Neural Networks

Authors: M. Saqib, S.D. Khan, N. Sharma, M. Blumenstein
Conference: 2017 14th IEEE International Conference on Advanced Video and Signal Based
Year: 2017
Citations: 206

A Survey of Advances in Vision-Based Vehicle Re-Identification

Authors: S.D. Khan, H. Ullah
Journal: Computer Vision and Image Understanding
Year: 2019
Citations: 161

Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble

Authors: H. Ullah, M. Uzair, A. Mahmood, M. Ullah, S.D. Khan, F.A. Cheikh
Journal: IEEE Access
Year: 2019
Citations: 125

Stacked LSTM Network for Human Activity Recognition Using Smartphone Data

Authors: M. Ullah, H. Ullah, S.D. Khan, F.A. Cheikh
Conference: 2019 8th European Workshop on Visual Information Processing (EUVIP)
Year: 2019
Citations: 117

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Authors: S. Basalamah, S.D. Khan, H. Ullah
Journal: IEEE Access
Year: 2019
Citations: 69

Analyzing Crowd Behavior in Naturalistic Conditions: Identifying Sources and Sinks and Characterizing Main Flows

Authors: S.D. Khan, S. Bandini, S. Basalamah, G. Vizzari
Journal: Neurocomputing
Year: 2016
Citations: 67

Author Metrics 📊 : 

Dr. Khan’s author metrics highlight his research impact, with numerous citations and high h-index scores that demonstrate his influence and recognition in the scientific community. His contributions have been acknowledged globally, enhancing his reputation as a leading researcher in his fields of interest.

📅 Research Timeline:

Dr. Khan’s research timeline showcases his continuous and progressive contributions to various domains of computer science and engineering. From his early work in embedded systems to his current focus on artificial intelligence and brain signal analysis, his research has evolved and expanded, reflecting his dedication to advancing technology and knowledge.

Dr Nikolaos Papadopoulos | Nanocoatings | Industry Impact Award |

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Dr. Nikolaos Papadopoulos, Nanocoatings, Industry Impact Award.

BFP Advanced Technologies, Greece

Professional Profiles:

SCOPUS 

ORCID

👨‍🎓 Bio Summary:

Dr. Nikolaos Papadopoulos is the founder and CEO of BFP Advanced Technologies, specializing in functional coatings and advanced materials. Born in Athens, Greece, in 1977, he has a strong background in materials science and engineering, with a focus on nanoparticle synthesis and nanocoatings. Dr. Papadopoulos is known for his innovative work in developing magnetic thin films with tunable magnetic anisotropy and his invention of chemical processes for producing nanomaterials from red mud waste.

🎓 Education:

Dr. Papadopoulos completed his PhD fellowship in engineering from the National Technical University of Athens (NTUA) in 2010, with a thesis on magnetic thin films. He also holds a Master’s degree in Materials Science and Technology from NTUA, earned in 2004, after graduating from the same university’s School of Mining and Metallurgical Engineering in 2003.

🔍 Research Focus:

Dr. Papadopoulos’ research focuses on the synthesis of a diversified portfolio of coatings, including anti-corrosion, anti-fingerprint, and anti-soiling coatings. He is also involved in EU-funded research projects and is a member of various professional associations.

🏆 Honors & Awards:

Dr. Papadopoulos has received multiple awards for his innovative work, including recognition for his patents related to nanomaterials production and sol-gel routes for coatings. He is highly regarded in the field for his contributions to high-impact factor journals.

Professional Experience: 💼

Since 2013, Dr. Papadopoulos has been the CEO of BFP Advanced Technologies, where he oversees R&D activities and focuses on the synthesis of coatings such as easy-to-clean/self-cleaning, anti-fog, and antimicrobial coatings. He is an expert in the fabrication and characterization of functional coatings and specialized materials in bulk, film, and powder form.

📚 Top Noted Publications :

Title: Magnetic evaluation of Bauschinger effect in marine engineering steels Authors: Vourna, P., Papadopoulos, N.D., Argiris, K., Falara, P.P., Hristoforou, E. Journal: NDT and E International, 2023, 139, 102933

Title: Dual-function coatings to protect absorbent surfaces from fouling Authors: Papadopoulos, N.D., Vourna, P., Falara, P.P., Koutsaftiki, P., Xafakis, S. Journal: AIMS Materials Science, 2023, 10(6), pp. 981–1003

Title: A versatile approach towards development of easy-to-clean transparent nanocoating systems with pronounced anti-static properties for various substrates Authors: Papadopoulos, N.D., Falara, P.P., Vourna, P. Journal: AIMS Materials Science, 2023, 10(1), pp. 139–163

Title: Morphology and magnetic properties of rapidly quenched Fe-B alloys Authors: Konstantinidis, N., Fos, A., Svec, P., Vourna, P., Hristoforou, E. Journal: Journal of Magnetism and Magnetic Materials, 2022, 564, 170054

Title: Synthesis, structural and nanomechanical properties of cobalt based thin films Authors: Koumoulos, E.P., Tsikourkitoudi, V.P., Kartsonakis, I.A., Hristoforou, E., Charitidis, C.A. Journal: International Journal of Structural Integrity, 2015, 6(2), pp. 225–242

Author Metrics 📊 : 

Dr. Papadopoulos’ research has garnered significant attention, as evidenced by his high number of citations. His work has contributed to advancements in functional coatings and nanomaterials, making him a respected figure in the field.

📅 Research Timeline:

Dr. Papadopoulos’ research career began with his Master’s degree in Materials Science and Technology from NTUA in 2004. He completed his PhD fellowship in engineering from NTUA in 2010, focusing on magnetic thin films. Since 2013, he has been the CEO of BFP Advanced Technologies, where he continues to lead R&D activities and contribute to the field of functional coatings and advanced materials.