Mr Azamat Kakhorov | computing engineering | Best Research Article Award |

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Mr. Azamat Kakhorov | computing engineering | Best Research Article Award |

Tashkent State University of Economics, Uzbekistan

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Azamat Kakhorov is a Senior Lecturer at Tashkent University of Information Technologies, specializing in fields such as Project Management, Software Engineering, Full-Stack Development, Computer Science, and Artificial Intelligence. With extensive experience in teaching and research, he is also a Doctoral Student at the same institution. His research interests encompass Artificial Intelligence, Natural Language Processing (NLP), and the development of automated systems. Azamat has contributed to the academic and technological fields through his research and collaboration with prestigious organizations like UNESCO.

🎓 Educational Background:

Azamat Kakhorov holds a Master’s Degree in Information Management and Processing from Tashkent University of Information Technologies, awarded in 2012. He also completed his Bachelor’s Degree in Information Technologies from the same institution in 2010. Currently, he is pursuing his Doctorate at Tashkent University of Information Technologies, focusing on advancing his expertise in the areas of AI and NLP.

🔍 Research Focus:

Azamat’s research primarily focuses on the development of intelligent systems, particularly in Natural Language Processing (NLP), which includes syntactic and semantic analysis, as well as the development of software tools for language applications. His work also includes the design and protection of data, AI-based evolutionary classifiers, and the development of verbal communication systems. His research contributes to the advancement of AI applications in various fields, with an emphasis on linguistic processing and automated systems.

🏆 Honors & Awards:

Azamat Kakhorov has received several notable accolades throughout his academic and professional career. Among them is his contribution to the development of software tools for linguistic applications, including NLP-based systems that support the Uzbek language. His work in AI and data protection has gained recognition in various international forums. Additionally, he holds multiple patents for his innovations, including optoelectronic switches, optical signal modulators, and software tools for Uzbek language pronunciation.

đź’Ľ Professional Experience:

With over a decade of experience in academia, Azamat Kakhorov has held key roles at Tashkent University of Information Technologies. He served as the Head of the Research Department from 2020 to 2021, leading numerous projects on AI, NLP, and software development. He also worked as the Main Specialist of the Scientific Research Department from 2015 to 2020. Throughout his career, Azamat has collaborated with international organizations like UNESCO and actively contributed to advancing technological research in Central Asia.

đź“š Top Noted Publications :

Title: Functional characteristics of a field-effect transistor with a control p-n junction under various switching modes
Authors: OA Abdulkhaev, FA Giyasova, DM Yodgorova, BM Kamanov, AV Karimov
Citations: 8
Index: Physical Surface Engineering
Year: 2012

Title: ‘ZAKI MULOQOT TIZIMLARINI ISHLAB CHIQISH UCHUN NORAVSHAN QOIDALARGA ASOSLANGAN EVOLYUTSION KLASSIFIKATORLARNING QO ‘LLANILISHI
Author: A Kakhorov
Citations: 3
Index: DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, Vol. 1, Issue 2, pp. 108-115
Year: 2023

Title: Determination of the efficiency of voltage limiting of diode structures
Authors: A Rakhmatov, O Abdulkhaev, A Karimov, A Kakhorov, Zh Kalandarov, …
Citations: 3
Index: Components and Technologies, pp. 46-48
Year: 2011

Title: AI-driven environmental communication: translating sustainability reports into Uzbek for global awareness
Authors: A Kakhorov, D Yodgorova, M Khayrullayev
Citations: 1
Index: Economy and Society, pp. 292-301
Year: 2024

Title: NATURAL LANGUAGE PROCESSING (NLP) BASED ON SYNTACTIC AND SEMANTIC ANALYSIS ALSO PART OF SPEECH MARKUP
Author: A Kakhorov
Citations: 1
Index: International Scientific and Practical Conference on Algorithms and Current Problems of Programming, KarGU, Karshi
Year: 2023

Conclusion:

Dr. Kakhorov Azamat Abdulloyevich has an impressive profile characterized by significant academic achievements, innovative patents, and a strong research output. His work in AI and NLP, particularly focusing on linguistic applications for the Uzbek language, is both technically robust and culturally impactful. With strategic efforts to enhance international collaborations and focus on publishing in top-tier journals, he is a strong contender for the Research for Best Research Article Award., innovative therapeutic approaches, and clinical leadership positions her as a trailblazer in her field.

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: đź’Ľ

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.

đź“š 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.

đź“… 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.

Prof Ying Huang | Machina Learning | Best Researcher Award |

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Prof. Ying Huang | Machina Learning | Best Researcher Award.

Guangxi Eco-engineering Vocational And Technical College,China

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

 Prof. Ying Huang is a distinguished academic with a diverse background in electronic information engineering and agricultural electrification and automation. He earned his B.S. degree from South China Agricultural University in 2004, followed by an M. Eng. in 2007. Currently serving as a Professor at Guangxi Eco-engineering Vocational and Technical College, his career spans a wide range of research interests and achievements.

🎓 Education:

Ying Huang completed his B.S. degree in electronic information engineering and pursued further studies, obtaining an M. Eng. in agricultural electrification and automation, both from South China Agricultural University, China.

🔍 Research Focus:

Prof. Huang’s research focuses on the intersection of technology and agriculture, particularly in the realms of big data, machine learning, intelligent control, and detection technology. His work explores innovative applications of electronic information to enhance agricultural practices.

🏆 Honors & Awards:

Prof. Huang has been recognized for his contributions to academia and research, though specific honors and awards may be detailed in his professional portfolio.

Professional Experience: đź’Ľ

With a wealth of experience in academia, Prof. Huang currently holds the position of Professor at Guangxi Eco-engineering Vocational and Technical College, where he contributes to both teaching and research endeavors.

đź“š Top Noted Publications :

Title: Firm social management system for supporting IoT users in application environment

Authors: Huang, Y.

Journal: Journal of Network and Computer Applications, 2024, 224, 103840

Abstract: This article discusses a firm social management system designed to support IoT users in application environments. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: BAS-ALSTM: analyzing the efficiency of artificial intelligence-based English translation system

Authors: Li, S., Huang, Y.

Journal: Journal of Ambient Intelligence and Humanized Computing, 2024, 15(1), pp. 765–777

Abstract: This study evaluates the efficiency of an artificial intelligence-based English translation system. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: Design of Fruit-Carrying Monitoring System for Monorail Transporter in Mountain Orchard

Authors: Li, Z., Zhou, Y., Lyu, S., Yi, Y., Zhao, C.

Journal: Journal of Circuits, Systems and Computers, 2023, 32(15), 2350264

Abstract: This paper presents the design of a monitoring system for monitoring fruit-carrying monorail transporters in mountain orchards. The article is open access and has not yet received any citations.

 

Title: Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation

Authors: Huang, Y.

Journal: Plants, 2023, 12(12), 2309

Abstract: This article presents an improved SVM-based prediction model for soil-moisture content in tea plantations. The article is open access and has received 1 citation.

 

Title: Design of a Cargo-Carrying Analysis System for Mountain Orchard Transporters Based on RGB-D Data

Authors: Li, Z., Zhou, Y., Zhao, C., Wen, W., Huang, Y.

Journal: Applied Sciences (Switzerland), 2023, 13(10), 6059

Abstract: This paper discusses the design of an analysis system for analyzing cargo-carrying mountain orchard transporters using RGB-D data. The article is open access and has not yet received any citations.

Author Metrics 📊 : 

Prof. Huang’s impact within his field can be measured through various author metrics, reflecting the influence and significance of his scholarly work.

đź“… Research Timeline:

Over the years, Prof. Huang’s research trajectory has evolved, marked by milestones in academia and significant contributions to the advancement of knowledge in his areas of expertise.