Ushas AK | Artificial Intelligence | Best Researcher Award

Published on by Global Academic Awards

Best Researcher Award

Ushas AK

Vikram sarabhai Space Centre, India

Ushas AK is a researcher affiliated with the Vikram Sarabhai Space Centre, India, whose indexed research profile is associated with the subject area of Artificial Intelligence. The researcher is identified in Scopus by Author ID 58765503900 and has two documents recorded in the supplied profile information. This page presents a neutral academic overview of the research profile and its suitability for consideration under the Best Researcher Award.

Ushas AK
Affiliation Vikram Sarabhai Space Centre
Country India
Scopus ID 58765503900
Documents 2
Subject Area Artificial Intelligence
Event Global Academic Awards

The available information indicates an academic research profile connected with Artificial Intelligence and an institutional setting associated with space research and technology. The supplied Scopus identifier provides a basis for bibliographic verification, while the available document count provides a limited quantitative indicator of indexed research output. Additional bibliometric information, including citations and h-index, was not supplied and is therefore not inferred in this article. [1]

Abstract

This article provides an academic recognition profile for Ushas AK, affiliated with the Vikram Sarabhai Space Centre in India and associated with the research area of Artificial Intelligence. The supplied bibliographic information identifies two Scopus-indexed documents under Scopus Author ID 58765503900. The profile is considered in relation to the Best Researcher Award under the Global Academic Awards. The assessment emphasizes documented research affiliation, indexed scholarly output, subject-area relevance, and the availability of verifiable bibliographic information. [1]

Keywords

Best Researcher Award; Ushas AK; Artificial Intelligence; Vikram Sarabhai Space Centre; Scopus; research profile; scholarly publications; bibliometric assessment; Global Academic Awards; academic research.

Introduction

Academic recognition generally considers a combination of scholarly productivity, research relevance, documented contributions, and evidence of research impact. Bibliographic databases such as Scopus provide structured records that can assist in evaluating an author’s indexed research output and identifying publications associated with a researcher identifier. [1]

In the supplied profile, Ushas AK is associated with the Vikram Sarabhai Space Centre and the subject area of Artificial Intelligence. These details establish a clear research context for evaluating the profile, although a complete award assessment would ordinarily require additional evidence such as publication details, citation counts, h-index, research contributions, and other supporting documentation.

Research Profile

The supplied research profile identifies Ushas AK as a researcher at the Vikram Sarabhai Space Centre in India, with Artificial Intelligence specified as the subject area. The Scopus Author ID 58765503900 provides a persistent identifier for locating the researcher’s indexed author record. [1]

Two documents are reported in the supplied information. This document count should be interpreted as a bibliographic indicator rather than a complete measure of research quality or influence. A broader evaluation may consider the nature of the publications, authorship contributions, venues, citations, methodological significance, and relevance to the researcher’s field.

Research Contributions

Based on the supplied information, the research profile is situated within Artificial Intelligence and is institutionally connected with the Vikram Sarabhai Space Centre. This combination places the profile within a research environment where computational and intelligent technologies may be relevant to advanced scientific and technological applications. However, specific research contributions cannot be attributed without publication titles, abstracts, project information, or other primary evidence.

  • Documented affiliation with the Vikram Sarabhai Space Centre.
  • Research subject area identified as Artificial Intelligence.
  • Two documents reported in the supplied Scopus profile information.
  • A persistent Scopus Author ID enabling bibliographic profile verification.

Publications

The supplied data records two documents associated with the researcher in Scopus. Individual publication titles, journal or conference information, publication dates, DOI identifiers, and citation counts were not provided in the input data. Accordingly, specific publications and DOI records are not reproduced here to avoid attributing bibliographic information that has not been verified.

The Scopus author profile is the appropriate source for reviewing the indexed document list and confirming publication-level metadata. [1]

Research Impact

Research impact can be examined through multiple indicators, including citations, h-index, publication quality, collaboration, adoption of research findings, and broader scholarly or technological influence. For this profile, the supplied input does not include a citation total or h-index. Therefore, no numerical impact score is assigned.

The presence of two indexed documents establishes a documented publication record in the supplied information, but the available data alone are insufficient to quantify citation-based impact. A fuller assessment should incorporate current bibliometric information from the researcher’s verified author record. [1]

Award Suitability

Based on the supplied information, Ushas AK appears to have a relevant academic profile for consideration for the Best Researcher Award associated with the Global Academic Awards. The principal supporting factors are the documented institutional affiliation, identification of Artificial Intelligence as the research subject area, and the presence of two documents in the supplied Scopus information. [1]

Award suitability should nevertheless be treated as a recognition assessment rather than a definitive ranking. A comprehensive review would benefit from verified information concerning citation performance, h-index, publication quality, research originality, collaboration, specific research outcomes, and broader scholarly contributions. Since these indicators were not supplied, the present assessment remains limited to the available profile evidence.

  • Relevant research specialization in Artificial Intelligence.
  • Institutional affiliation with the Vikram Sarabhai Space Centre.
  • Documented Scopus author identification.
  • Two indexed documents reported in the supplied profile information.
  • Additional bibliometric and qualitative evidence recommended for a complete award evaluation.

Conclusion

Ushas AK has a documented research profile associated with the Vikram Sarabhai Space Centre and Artificial Intelligence, with two documents reported under Scopus Author ID 58765503900. The available information provides a reasonable basis for academic recognition consideration under the Best Researcher Award, while a complete evaluation would require further evidence concerning research impact, publication quality, citations, h-index, and substantive research contributions.

Sangchun Choi | Artificial Intelligence | Best Researcher Award

Published on by Global Academic Awards

Best Researcher Award

Sangchun Choi
Soonchunhyang University
Sangchun Choi
Affiliation Soonchunhyang University
Country South Korea
Scopus ID 57213151463
Documents 35
Citations 464
h-index 11
Subject Area Artificial Intelligence
Event Global Academic Awards
ORCID Research Profile Available

Sangchun Choi of Soonchunhyang University, South Korea, whose research contributions in artificial intelligence have been reflected through peer-reviewed publications, scholarly citations, and recognized academic engagement.[1]

Abstract

Sangchun Choi has established a documented research presence within the field of artificial intelligence through scholarly publications, citation performance, and participation in internationally recognized research activities. Academic metrics indexed through Scopus indicate a consistent contribution to scientific literature, supporting recognition within the context of research excellence and academic achievement.[1]

Keywords

Artificial Intelligence, Machine Learning, Research Excellence, Scholarly Publications, Citation Impact, Academic Recognition, Best Researcher Award, Scientific Contribution.

Introduction

Research awards serve as mechanisms for acknowledging scholarly productivity, innovation, and influence across academic disciplines. Evaluation criteria commonly include publication quality, citation performance, research originality, and broader contributions to scientific advancement. Within this framework, Sangchun Choi’s documented record in artificial intelligence demonstrates characteristics frequently associated with research distinction and academic recognition.[1]

Research Profile

Sangchun Choi is affiliated with Soonchunhyang University in South Korea and maintains a research portfolio indexed in Scopus under Author ID 57213151463. The available bibliometric profile reports 35 indexed documents, 464 citations, and an h-index of 11, indicating measurable scholarly engagement and influence within the research community.[1]

  • Affiliation: Soonchunhyang University
  • Country: South Korea
  • Primary Subject Area: Artificial Intelligence
  • Indexed Documents: 35
  • Total Citations: 464
  • h-index: 11

Research Contributions

The research activities associated with Sangchun Choi contribute to ongoing developments in artificial intelligence and related computational methodologies. Published work in this area supports advancements in intelligent systems, data-driven decision-making, and emerging digital technologies. Such contributions enhance scholarly dialogue and provide foundations for future investigations.[2]

  • Development of artificial intelligence methodologies.
  • Contribution to peer-reviewed scientific literature.
  • Support for interdisciplinary computational research.
  • Participation in knowledge dissemination through scholarly publication.

Publications

The research record includes publications indexed within internationally recognized databases. Publication activity demonstrates engagement with contemporary scientific challenges and contributes to cumulative knowledge development within artificial intelligence and associated domains.[1]

  1. Peer-reviewed journal articles.
  2. Conference proceedings.
  3. Collaborative research publications.
  4. Works indexed through Scopus and related scholarly databases.

Representative scholarly outputs may include publications associated with digital intelligence, machine learning applications, and advanced computational frameworks. DOI-linked research dissemination supports transparency, discoverability, and long-term accessibility within the scientific record.[3]

Research Impact

Research impact can be evaluated through citation indicators, publication visibility, and influence on subsequent investigations. With 464 citations and an h-index of 11, Sangchun Choi’s scholarly record demonstrates measurable engagement from the academic community. Such indicators suggest that published research has contributed to ongoing scientific discussions and knowledge advancement.[1]

Award Suitability

Eligibility for the Best Researcher Award may be assessed through objective academic indicators including publication volume, citation performance, research quality, innovation, and disciplinary impact. The documented scholarly achievements of Sangchun Choi align with several commonly recognized evaluation criteria utilized by academic award committees. Bibliometric performance, research continuity, and subject-area relevance collectively support consideration for research excellence recognition.[1]

Conclusion

Sangchun Choi’s academic profile reflects sustained engagement in artificial intelligence research through peer-reviewed publications, scholarly citations, and measurable research impact. The combination of documented productivity, citation performance, and contribution to scientific advancement provides a scholarly basis for recognition within the framework of the Best Researcher Award presented by the Global Academic Awards program.[1]

References

  1. Scopus author details: Sangchun Choi, Author ID 57213151463. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57213151463
  2. Artificial Intelligence-Derived Electrocardiogram Analysis for Identification of Carbon Monoxide-Induced Cardiomyopathy: A Retrospective Studyhttps://www.mdpi.com/1648-9144/62/6/1081
  3. Role of Aspartate in Immune Response and Mortality in a Polymicrobial Sepsis Model: Insights from Metabolomics and Transcriptomicshttps://www.mdpi.com/2073-4409/15/6/513

Wang Hongyuan | Artificial Intelligence | Best Researcher Award

Published on by Global Academic Awards

Mr. Wang Hongyuan | Artificial Intelligence | Best Researcher Award

Guangdong University of Science and Technology | China

Mr. Wang Hongyuan is an accomplished researcher at the Guangdong University of Science and Technology, Dongguan, China, whose work bridges the fields of artificial intelligence, Internet of Things (IoT), and intelligent computing systems. His research primarily emphasizes explainable AI, machine learning applications, edge computing, and data-driven fault detection systems for industrial and healthcare environments. Mr. Wang Hongyuan has authored 11 research publications indexed in Scopus with 10 citations and an h-index of 2, reflecting his growing influence in computational intelligence research. His recent contributions include studies on reinforcement learning-based computation offloading for wireless IoT, AI-based analysis of neurodegenerative disorders, and machine learning approaches for network security and IoT healthcare systems. He also led the Dongguan Songshan Lake Sci-Tech Commissioner Project, focusing on big data-based monitoring and early fault warning systems for electrical equipment. Through his innovative and interdisciplinary approach, Mr. Wang Hongyuan demonstrates a strong commitment to advancing AI-driven automation, smart industrial systems, and intelligent healthcare technologies—establishing himself as a promising and forward-thinking researcher in modern computational sciences.

Profile: Scopus

Featured Publications

  • Wang, H. (2025). An adaptive computation offloading strategy for wireless IoT: A reinforcement learning-based solution. Journal of the Institution of Engineers (India) Series

  • Wang, H. (2024). Dongguan Songshan Lake Sci-Tech Commissioner Project: Research and industrialization of a monitoring and fault early-warning system for high and low voltage electrical equipment based on big data mining (Project ID: 20234415-01KCJ-G). [Completed Project].

  • Wang, H. (2025). Neurodegenerative disorders: A holistic study of the explainable artificial intelligence applications. Engineering Applications of Artificial Intelligence.

  • Wang, H. (2023). Machine learning-based centralized link coding attack detection in software-defined network. Wireless Networks.

  • Wang, H. (2023). MEC-IoT-Healthcare: Analysis and prospects. Computers, Materials & Continua, 75(1), 193–206.

ShengHsun Hsu | AI | Best Researcher Award

Published on by Global Academic Awards

Prof. ShengHsun Hsu | AI | Best Researcher Award

Prof. ShengHsun, Chung Hua University, Taiwan

📚 Prof. Sheng-Hsun Hsu is a full-time professor in the Department of Management at Chu Hua University, Taiwan. He holds a Ph.D. in Business Administration from Taiwan University (2004), a Master’s in Computer Science, and a Bachelor’s in Mathematics from Hsing Hua University.💼 With extensive experience, Prof. Hsu has served as an Assistant Professor, Associate Professor, and Chairman at Chu Hua University. His research focuses on organizational behavior, customer satisfaction indices, brand equity, and psychological capital. His work has been published in top journals like Total Quality Management & Business Excellence and Service Industries Journal (SSCI).🌟 In addition to his academic contributions, Prof. Hsu actively supports curriculum planning, faculty evaluations, and student recruitment efforts. His expertise bridges business management and research, with a commitment to fostering excellence.

Publication Profile

Scopus

📘 Academic Journey

Prof. Sheng-Hsun Hsu boasts an impressive academic background spanning business administration, computer science, and mathematics. He earned his Ph.D. in Business Administration from Taiwan University (1999–2004) 🎓. Before that, he completed his Master’s degree in Computer Science at Hsing Hua University (1993–1995) 💻. His academic journey began with a Bachelor’s degree in Mathematics from the same institution (1990–1993) ➗. This diverse educational foundation reflects his interdisciplinary expertise and commitment to excellence in both theoretical and practical domains of knowledge. 🌟

 

💼 Professional Experience

Prof. Sheng-Hsun Hsu has had an illustrious career at Chu Hua University, contributing as a scholar and leader. He began as an Assistant Professor (1993–1996) 🧑‍🏫, advancing to Associate Professor (1996–1999) 📚. His dedication and expertise led to his promotion as a Professor, a position he has held since May 2014 🌟. Beyond teaching and research, he served as Chairman of the university from August 2013 to August 2014 🏢. Prof. Hsu’s professional journey reflects his commitment to academia and leadership in higher education. 🎓

 

📊 Research Focus

Prof. Sheng-Hsun Hsu’s research primarily revolves around Total Quality Management (TQM) and Business Excellence, particularly focusing on improving organizational performance and strategic alignment in various industries. His studies explore the integration of information technology (IT) and business strategies, emphasizing IT competence and the roles of CIOs in business success. Additionally, Prof. Hsu has contributed to the development of models for customer satisfaction, alumni satisfaction, and psychological capital in organizational contexts. His work bridges behavioral economics, higher education, and business management, aiming to enhance both quality management and consumer experience. 🔍📈

 

Publication Top Notes  

  • A GPT-Aided literature review process for total quality management and business excellence (2024) – Cited by 1
  • The effects of IT chargeback on strategic alignment and performance: the contingent roles of business executives’ IT competence and CIOs’ business competence (2023) – Cited by 3
  • Topic analysis of studies on total quality management and business excellence: an update on research from 2010 to 2019 (2022) – Cited by 11
  • Constructing a consumption model of fine dining from the perspective of behavioral economics (2018) – Cited by 8
  • Developing a decomposed alumni satisfaction model for higher education institutions (2016) – Cited by 23
  • Building business excellence through psychological capital (2014) – Cited by 15
  • Developing a decomposed customer satisfaction index: An example of the boutique motel industry (2013) – Cited by 4
  • Constructing an index for brand equity: A hospital example (2011) – Cited by 31
  • A dyadic perspective on knowledge exchange (2010) – Cited by 6
  • A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression (2009) – Cited by 108

Deepali Bhamare | Deep Learning | Best Researcher Award

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Ms. Deepali Bhamare | Deep Learning | Best Researcher Award

Ms. Deepali Bhamare, S.S.V.P.S.B.D’s COE Dhule, India

Deepali Bhamare is an accomplished educator and engineer with over two decades of experience in electronics and telecommunication. She holds a B.E. in Electronics and Telecommunication from NMU Jalgaon (2002), an M.E. in Digital Communication from R.G.P.V. Bhopal (2012), and is pursuing a PhD in Electronics Engineering. Deepali has worked in industry as a QC and Testing Engineer before transitioning into academia, where she currently serves as Assistant Professor at S.S.V.P.S. College of Engineering Dhule. She has actively contributed to various institutional committees and has attended numerous FDPs and workshops related to AI, machine learning, and research methodologies. 🎓📊📡

 

Publication Profile

Scopus

Educational Qualification

Ms. Deepali Bhamare has a robust educational background in Electronics and Telecommunications. She completed her H.S.C. in Science with 74.08%, followed by a B.E. in Electronics and Telecommunication Engineering from N.M.U. Jalgaon (64%) in 2002. She also holds a master’s degree in Digital Communication from R.G.P.V. Bhopal (75.03%), and is currently pursuing her PhD in Electronics Engineering from N.M.U., which showcases her commitment to advancing her expertise in the field.

Professional Experience

Her extensive work experience spans across both industry and academia. She worked as a Quality Control Engineer at renowned firms like Satronix India Pvt Ltd and Penguin Audio Products Ltd. Since 2008, she has transitioned into academia, holding roles such as Lecturer and Assistant Professor at S.S.V.P.S. College of Engineering, Dhule. Her academic career, coupled with her technical experience, demonstrates her comprehensive understanding of engineering principles and practical applications.

Training and Development

Ms. Bhamare has actively participated in various Faculty Development Programs (FDPs), Short-Term Training Programs (STTPs), and workshops. Notable topics include “Next Generation Artificial Intelligence,” “Python Programming with Django,” “Machine Learning and Deep Learning,” “Neural Networks and Fuzzy Logic,” and “Artificial Intelligence in Healthcare.” These programs indicate her continuous efforts to stay updated with emerging technologies, particularly in AI, machine learning, and data science.

Academic Involvement

In addition to teaching, she has held several key positions in her college, such as Member of the Anti-Ragging Committee, BC Cell, and Extra Curricular Cell, as well as Lab In-Charge. These roles highlight her dedication to both student welfare and the efficient management of college resources.

Conclusion

Ms. Deepali Bhamare’s well-rounded qualifications, research pursuits in electronics, and ongoing professional development through numerous FDPs and workshops position her as a strong candidate for the Best Researcher Award. Her blend of academic knowledge, research focus, and involvement in emerging technologies such as AI and machine learning, make her a notable contributor to the field of electronics engineering.

 

Publication Top Notes  

A Review on Person Identification Using Periocular Biometrics

Person Identification System Using Periocular Biometrics Based on Hybrid Optimal Dense Capsule Network

Federico D’ Asaro | Artificial intelligence | Best Researcher Award

Published on by Global Academic Awards

Mr. Federico D’ Asaro | Artificial intelligence | Best Researcher Award

Mr. Federico D’ Asaro, Politecnico di Torino, Italy

Based on Mr. Federico D’Asaro’s background and achievements, he appears to be a strong candidate for the Research for Best Researcher Award. Here’s an evaluation of his suitability:

Publication profile

Education 🎓

  • Polytechnic University of Turin: M.Sc. in Data Science and Engineering with a thesis on algorithm discrimination. Achieved a final grade of 110/110.
  • University of Palermo: B.Sc. in Engineering and Management, graduating cum laude with a final grade of 110/110.
  • Scientific Lyceum “Galileo Galilei”: High School Diploma with a grade of 83/100.

Work Experience 💼

  • Ph.D. Student at Polytechnic University of Turin: Conducting research on Modality-Gap in multimodal feature space and submitting articles to prominent conferences.
  • AI Applied Researcher at LINKS Foundation: Developed advanced applications in business analytics, sentiment analysis, retrieval systems, and speech emotion recognition. Engaged in proposal writing and reviewing conference papers.
  • Intern at Technology Reply: Gained experience in NLP, sentiment analysis, and textual data modelization.

Skills and Competencies 🛠️

  • Proficient in multiple programming languages and tools including Python, Java, TensorFlow, PyTorch, and SQL.
  • Experienced in data visualization, machine learning, and deep learning.
  • Competent in using various IT tools and frameworks like Apache Spark and Hadoop.

Other Information 🌍

  • Languages: Fluent in Italian and proficient in English (B2 level).
  • Interests: Diverse interests including sports, literature, and technology.
  • Certifications: B2 First (FCE) and driving license.

Publication Top Notes

Zero-Shot Content-Based Crossmodal Recommendation System

Sensitive attributes disproportion as a risk indicator of algorithmic unfairness

Conclusion🏆

Mr. Federico D’Asaro demonstrates a solid academic background, relevant work experience, and a diverse skill set, aligning well with the criteria for the Research for Best Researcher Award. His ongoing research and contributions to AI applications show a strong potential for impactful research and innovation.

ZhikangZhao | Deep Learning | Best Researcher Award

Published on by Global Academic Awards

ZhikangZhao | Computers in Earth Sciences | Best Researcher Award

Dr. ZhikangZhao, Changchun Institute of Optics,Fine Mechanicsand Physics,Chinese Academy of Sciences,  China.

Dr.Zhikang Zhao, a Ph.D. candidate at the Chinese Academy of Sciences, pioneers research in remote sensing image processing. His expertise lies in developing advanced algorithms employing deep learning for super-resolution reconstruction, vital for enhancing low-resolution remote sensing images. His method, featured in Image and Vision Computing, revolutionizes unsupervised super-resolution by simulating degradation mechanisms, leading to superior image quality. With ongoing projects focused on innovative reconstruction networks, Zhao’s contributions significantly advance remote sensing technology, promising accurate data for diverse scientific applications. 🛰️

Publication Top Notes

Scopus

Education

Dr.Zhikang Zhao pursued his Ph.D. degree at the prestigious Changchun Institute of Optics, Fine Mechanics and Physics, affiliated with the Chinese Academy of Sciences. Immersed in advanced research in remote sensing image processing, Zhao honed his expertise in developing groundbreaking super-resolution algorithms leveraging deep learning techniques. His academic journey reflects a commitment to pushing the boundaries of knowledge in his field, evident in his innovative contributions to the realm of remote sensing technology. With a solid educational foundation and a passion for research, Zhao is poised to continue making significant strides in advancing the capabilities of remote sensing technology. 📚

Research Focus

Dr.Zhikang Zhao’s research primarily centers on remote sensing image processing, with a specific emphasis on developing advanced super-resolution reconstruction algorithms. Through his work, he aims to address the challenges associated with low-resolution and low-quality remote sensing images by leveraging cutting-edge deep learning techniques. By focusing on innovative algorithmic developments, Zhao endeavors to enhance the resolution and quality of remote sensing data, thereby unlocking its full potential for various applications. His dedication to pushing the boundaries of remote sensing technology reflects a commitment to advancing scientific knowledge and contributing to the broader scientific community. 🛰️

Publication Top Notes

  • Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances by Zhao, T. et al. (2024) 🚢
    • Published in Remote Sensing, cited by 0.
  • Hyperspectral Image Classification Framework Based on Multichannel Graph Convolutional Networks and Class-Guided Attention Mechanism by Feng, H. et al. (2024) 📸
    • Published in IEEE Transactions on Geoscience and Remote Sensing, cited by 0.
  • Remote Sensing Hyperspectral Image Super-Resolution via Multidomain Spatial Information and Multiscale Spectral Information Fusion by Chen, C. et al. (2024) 🌐
    • Published in IEEE Transactions on Geoscience and Remote Sensing, cited by 0.
  • Context Feature Integration and Balanced Sampling Strategy for Small Weak Object Detection in Remote Sensing Imagery by Li, Z. et al. (2024) 🔍
    • Published in IEEE Geoscience and Remote Sensing Letters, cited by 2.
  • A Review of Hyperspectral Image Super-Resolution Based on Deep Learning by Chen, C. et al. (2023) 📊
    • Published in Remote Sensing, cited by 9.
  • RoI Fusion Strategy With Self-Attention Mechanism for Object Detection in Remote Sensing Images by Zhang, Y. et al. (2023) 👁️
    • Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, cited by 4.
  • Multi-scale unsupervised network for infrared and visible image fusion based on joint attention mechanism by Xu, D. et al. (2022) 🎨
    • Published in Infrared Physics and Technology, cited by 10.
  • Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey by Li, Z. et al. (2022) 🕵️‍♂️