Zobeir Raisi | Vision Sensing | Best Researcher Award

Best Researcher Award

Zobeir Raisi
Affiliation Chabahar Maritime University
Country Canada
Scopus ID 54897975500
Documents 11
Citations 115
h-index 4
Subject Area Vision Sensing
Event Global Sensor Awards
ORCID 0000-0002-1591-4492

Zobeir Raisi
Chabahar Maritime University

The Best Researcher Award recognizes researchers whose scholarly activities demonstrate sustained contributions to their academic disciplines through publications, scientific collaboration, innovation, and research impact. Zobeir Raisi, affiliated with Chabahar Maritime University, is associated with research activities in the field of Vision Sensing. His scholarly profile, indexed in Scopus and identified through ORCID, reflects participation in internationally recognized research dissemination and academic communication.[1][2]

Abstract

This article presents a concise academic overview of Zobeir Raisi and highlights the research profile associated with the field of Vision Sensing. The profile emphasizes scholarly visibility through internationally recognized researcher identifiers, publication indexing, and participation in scientific research. The article adopts a neutral encyclopedic style suitable for academic recognition while encouraging readers to consult the original researcher profiles for continuously updated bibliometric information.[1]

Keywords

  • Vision Sensing
  • Sensor Research
  • Image Processing
  • Computer Vision
  • Research Evaluation
  • Academic Publications
  • Scopus Author Profile
  • ORCID

Introduction

Vision sensing represents an interdisciplinary research area integrating sensing technologies, imaging systems, artificial intelligence, and computer vision for observation, monitoring, automation, and decision support. Researchers working within this field contribute to developments across industrial automation, transportation, robotics, healthcare, and environmental monitoring. Academic recognition programs acknowledge contributions that support scientific advancement while maintaining research integrity and scholarly dissemination.[3]

Research Profile

Zobeir Raisi is affiliated with Chabahar Maritime University and maintains internationally recognized researcher identifiers through Scopus and ORCID. These scholarly platforms improve research discoverability, facilitate author identification, and support accurate attribution of publications, citations, and academic collaborations. Such persistent identifiers are increasingly important within the global research ecosystem.[1][2]

Research Contributions

Research associated with Vision Sensing commonly includes imaging technologies, machine vision algorithms, intelligent sensing systems, feature extraction, pattern recognition, sensor integration, and automated decision-making. Such investigations contribute to technological innovation by improving accuracy, efficiency, and reliability across diverse engineering and scientific applications. Published studies in this domain frequently encourage interdisciplinary collaboration between engineering, computer science, and applied sciences.[3][4]

Publications

The researcher’s indexed publication record is maintained through the Scopus Author Profile, where bibliographic information is periodically updated as additional scholarly works are indexed. Readers are encouraged to consult the official profile for the latest publication list, citation metrics, collaboration networks, and subject classifications. Digital Object Identifiers (DOIs) associated with individual publications provide permanent access to published research.[1][4]

Research Impact

Research impact is commonly evaluated using publication quality, citation performance, collaboration, innovation, and contributions to scientific knowledge. Bibliographic databases such as Scopus provide standardized metrics that assist institutions, funding agencies, and award committees in assessing scholarly productivity while recognizing that quantitative indicators should be interpreted together with qualitative research achievements.[1]

Award Suitability

The Best Researcher Award recognizes sustained scholarly engagement, responsible research practices, publication quality, and contributions to advancing scientific knowledge. Based on publicly available academic identifiers and institutional affiliation, Zobeir Raisi demonstrates participation within an internationally indexed research environment relevant to Vision Sensing and sensor technologies. Final award decisions are typically determined according to the official evaluation criteria established by the organizing committee.[5]

Conclusion

The academic profile presented here summarizes publicly identifiable scholarly information relating to Zobeir Raisi, his institutional affiliation, and research interests in Vision Sensing. Continued publication, collaboration, and participation in international research activities contribute to scientific progress and strengthen the global research community. Official researcher profiles remain the primary source for updated bibliographic records and citation information.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Zobeir Raisi, Author ID 54897975500. Scopus.https://www.scopus.com/authid/detail.uri?authorId=54897975500
  2. ORCID. (n.d.). ORCID record for Zobeir Raisi.https://orcid.org/0000-0002-1591-4492
  3. International literature on computer vision and intelligent sensing systems.https://doi.org/10.1109/5.726791
  4. Crossref. (n.d.). Digital Object Identifier (DOI) System.https://doi.org/10.1038/s41586-019-1666-5
  5. Global Sensor Awards. (n.d.). Award information and evaluation framework.

Pedro-Antonio Regidor | Vision Sensing | Excellence in Research Award

Excellence in Research Award

Pedro-Antonio Regidor
Affiliation Exeltis Europe & Global Projects; Women’s Health Specialist
Country Germany
Scopus ID 57212377610
Documents 70
Citations 1,126
h-index 21
Subject Area Gynecology, Obstetrics, Reproductive Medicine, Women’s Health, Vision Sensing
Event Global Sensor Awards
ORCID 0000-0002-9551-2847

Pedro-Antonio Regidor is a physician-scientist and specialist in gynecology, obstetrics, gynecological endocrinology, reproductive medicine, and gynecological oncology. His professional career spans clinical practice, academic research, surgical innovation, and pharmaceutical medical leadership. Through extensive contributions to women’s health research, reproductive endocrinology, endometriosis management, contraceptive technologies, and obstetric medicine, he has established a notable scholarly profile within international medical communities.[1]

Abstract

This article summarizes the academic and professional achievements of Pedro-Antonio Regidor, a specialist in women’s health sciences. His work integrates clinical gynecology, reproductive medicine, gynecological oncology, endocrine disorders, contraceptive technologies, and translational research. His scholarly output includes peer-reviewed publications addressing endometriosis, uterine fibroids, hormonal therapies, pregnancy outcomes, inflammatory pathways, and reproductive endocrinology.[2]

Keywords

Gynecology, Obstetrics, Reproductive Medicine, Endometriosis, Women’s Health, Hormonal Therapy, Gynecological Oncology, Contraception, Pregnancy Outcomes, Endocrinology, Clinical Research.

Introduction

The advancement of women’s healthcare requires interdisciplinary expertise combining clinical practice, surgery, endocrinology, and evidence-based medicine. Pedro-Antonio Regidor has contributed to these domains through decades of clinical leadership, academic engagement, and scientific publication. His research interests focus on improving reproductive health outcomes and expanding understanding of gynecological diseases through translational and clinical investigation.[1]

Research Profile

Dr. Regidor earned his medical degree and later completed a doctoral specialization in gynecology and obstetrics. Throughout his career, he has held appointments including assistant medical director, department chief, consultant physician, and medical director within academic hospitals and international healthcare organizations. His expertise spans gynecological oncology, reproductive endocrinology, obstetrics, perinatal medicine, breast health, and women’s hormonal therapies.[1]

Research Contributions

  • Investigation of endometriosis pathophysiology and treatment strategies.
  • Research on hormonal contraception and reproductive endocrinology.
  • Clinical studies involving dienogest-based therapeutic interventions.
  • Analysis of inflammatory mechanisms in uterine fibroids and reproductive disorders.
  • Evaluation of maternal health outcomes and pregnancy-related inflammatory conditions.
  • Contributions to gynecological oncology and surgical women’s healthcare.

Publications

Recent scholarly publications include investigations into probiotic supplementation in endometriosis, contraceptive safety evaluation, polycystic ovary syndrome-associated hirsutism, chronic inflammation in uterine myoma, omega-3 fatty acids in pregnancy outcomes, and coagulation parameters associated with hormonal contraceptive therapies. These works have appeared in internationally recognized journals such as European Journal of Contraception & Reproductive Health Care, BMC Women’s Health, EClinicalMedicine, Biomedicines, and Gynecological Endocrinology.[2]

Research Impact

The impact of Dr. Regidor’s work is reflected through sustained publication activity, international collaborations, translational clinical studies, and continuing engagement in women’s health innovation. His research supports evidence-based approaches for reproductive medicine and contributes to discussions regarding contraceptive safety, endocrine management, inflammatory gynecological disorders, and maternal health outcomes.[2]

Award Suitability

Based on his extensive clinical experience, leadership positions, multidisciplinary specialization, academic qualifications, surgical expertise, and scientific publications, Pedro-Antonio Regidor demonstrates strong alignment with international academic recognition programs focused on excellence in gynecology, reproductive medicine, women’s health research, and translational clinical science. His professional contributions illustrate sustained commitment to advancing healthcare knowledge and practice.[1]

Conclusion

Pedro-Antonio Regidor represents a distinguished profile within women’s health sciences through a combination of clinical excellence, academic scholarship, surgical expertise, and international research engagement. His body of work contributes to ongoing advances in reproductive medicine, gynecology, endocrinology, and maternal healthcare while supporting evidence-based medical practice across diverse healthcare settings.

References

  1. Professional curriculum vitae and academic profile of Pedro-Antonio Regidor, including medical qualifications, appointments, memberships, and clinical expertise.
  2. Regidor, P.A., et al. Recent publications in gynecology, reproductive medicine, endometriosis, contraception, and women’s health.
    https://doi.org/10.1080/13625187.2026.2644896
  3. Elsevier. (n.d.). Scopus author details: Pedro-Antonio Regidor, Author ID 57212377610.
    https://www.scopus.com/authid/detail.uri?authorId=57212377610

Mr. Suresha R | Computer Vision Awards | Excellence in Research Award

Mr. Suresha R | Computer Vision Awards | Excellence in Research AwardΒ 

Mr. Suresha R | Computer Vision Awards | Amrita Vishwa Vidyapeetham | India

Mr. Suresha R. is a results-driven educator and technologist with over six years of combined experience in teaching computer science and academic leadership. He holds an M.Sc. in Computer Science and has qualified in UGC-NET and K-SET, while currently pursuing a Ph.D. Mr. Suresha R. has demonstrated expertise in curriculum design and research, particularly focusing on AI in autonomous solutions and computer vision applications. In his professional career, Mr. Suresha R. has served as an Assistant Professor at Amrita Vishwa Vidyapeetham, School of Computing, Mysuru Campus, and at SBRR Mahajana First Grade College, Mysuru, where he delivered advanced courses in Computer Vision, Digital Image Processing, Pattern Recognition, Computational Intelligence, Computer Graphics, Machine Learning, Exploratory Data Analysis, R Programming, Information Retrieval, Data Mining, Numerical Analysis, and Operations Research, consistently achieving high student satisfaction. His research interests encompass small traffic sign detection and recognition in challenging scenarios using computer vision and LiDAR-based techniques with ROS2 framework, deep learning-based vehicle detection and distance estimation for autonomous systems, motion blur image restoration, wild animal recognition through vocal analysis, and SVM-based medical image classification. Mr. Suresha . possesses strong research skills in Python, MATLAB, ROS2, machine learning, deep learning, image processing, and data analysis. He has successfully guided Bachelor’s and Master’s students in research projects, fostering innovation and academic growth. His academic contributions are recognized through multiple publications in prestigious journals and conferences, including IEEE Access, Procedia Computer Science, ICCCNT, CCEM, ICECAA, and INDIACom. Mr. Suresha . has a proven record of collaborating in interdisciplinary teams, effectively communicating complex technical concepts, and mentoring students to achieve excellence in research and practical applications. His dedication to lifelong learning and active engagement in both teaching and research demonstrates his commitment to advancing knowledge in computer science and autonomous systems. Throughout his career, Suresha Β has received awards and recognitions for research excellence, contributing to the development of sustainable and intelligent solutions in the field of computer vision and AI. Overall, Mr. Suresha exemplifies a passionate and innovative professional, bridging theoretical foundations with applied research, and continues to make significant contributions to academia and technology

Professional Profiles:Β ORCID

Selected PublicationsΒ 

  1. Suresha, R., Manohar, N., Ajay Kumar, G., & Singh, R. (2024). Recent advancement in small traffic sign detection: Approaches and dataset.

  2. Suresha, R., Manohar, N., & Jipeng, T. (2024). Two-stage traffic sign classification system.

  3. Sudharshan Duth, P., Manohar, N., Suresha, R., Priyanka, M., & Jipeng, T. (2024). Wild animal recognition: A vocal analysis.

  4. Suresha, R., Jayanth, R., & Shriharikoushik, M. A. (2023). Computer vision approach for motion blur image restoration system.

  5. Srinivasa, C., Suresha, R., Manohar, N., Dharun, G. K., Sheela, T., & Jipeng, T. (2023). Deep learning-based techniques for precise vehicle detection and distance estimation in autonomous systems.

  6. Suresha, R., Devika, K. M., & Prabhu, A. (2022). Support vector machine classifier based lung cancer recognition: A fusion approach.

Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award

Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research AwardΒ 

Prof. Fengyun Cao, Hefei Normal University, China

Dr. Cao Fengyun is an Associate Professor and Master’s Supervisor at the School of Computer and Artificial Intelligence, Hefei Normal University, where she also serves as Director of the Department of Computer Science and Technology. Her primary research interests include digital image processing, computer vision, and artificial intelligence. Dr. Cao is a member of the Image Application and System Integration Committee of the Chinese Image and Graphics Society and serves on the young editorial board of the international journal INSTRUMENTATION. She is also a reviewer for numerous prestigious journals such as IEEE/CAA Journal of Automatica Sinica, Scientific Reports, and The Journal of Supercomputing. She currently holds the position of Vice President of Science and Technology at the Medical Artificial Intelligence Technology R&D Center, Hefei Innovation Institute. Over the years, she has led various funded research projects, including those focused on depth estimation, remote sensing, and smart control systems. Dr. Cao has authored several high-impact papers and holds 10 authorized invention patents, along with multiple software copyrights and integrated circuit layout designs. Her work has earned her accolades including the β€œResearch Star” award and third prize in the Anhui Province Science and Technology Awards. She has also contributed to the development of local standards in smart systems and information monitoring.

Professional Profile:

SCOPUS

Summary of Suitability:

Dr. Cao Fengyun, an Associate Professor and Director of the Department of Computer Science and Technology at the School of Computer and Artificial Intelligence, Hefei Normal University, is a highly accomplished researcher with a proven track record in digital image processing, computer vision, and artificial intelligence. His outstanding contributions to both theoretical advancements and practical innovations make him an excellent candidate for the Excellence in Research Award.

πŸŽ“ Education & Work Experience

  • πŸ‘¨β€πŸ« Teaching Assistant
    School of Computer Science, Hefei Normal University
    πŸ“… June 2013 – November 2017

  • πŸ‘¨β€πŸ« Lecturer
    School of Computer Science, Hefei Normal University
    πŸ“… December 2017 – December 2022

  • πŸ‘©β€πŸ« Associate Professor
    School of Computer and Artificial Intelligence, Hefei Normal University
    πŸ“… January 2023 – Present

  • 🧠 Vice President of Science and Technology
    Medical AI Technology R&D Center, Hefei Innovation Institute
    πŸ“… November 2024 – Present

πŸ† Achievements

  • πŸ“š Research Areas:
    Digital Image Processing, Computer Vision, Artificial Intelligence

  • πŸ§ͺ Research Projects (Host):

    • πŸ” Magnetic Tile Surface Defect Detection (2024–2025)

    • πŸ€– Monocular Image Depth Estimation using Deep CNN (2019–2020)

    • πŸ–Ό Single Image Depth Restoration via Low-level Features

    • 🌩 Cloud Tech for Remote Sensing Image Thinning (2018–2019)

    • πŸ”§ Smart Fire Protection Water Supply System (2025)

    • πŸ“‘ High Performance Frequency Hopping Filter Development

    • ⚑ Intelligent Control System for Power Distribution Cabinet (2021)

    • πŸ”‹ Smart-LW Charging Operation and Maintenance System

    • 🧠 Graph Neural Network Intelligent Computing System (Ranked 3rd)

    • 🌐 IoT Equipment Remote Upgrade System (2021)

  • πŸ“„ Representative Papers:

    • βš™ Electric Bike Testing Dataset – Alexandria Engineering Journal (2024, SCI Zone II TOP)

    • 🎯 YOLOv7-based Anti-target Detection – Traitement du Signal (2023, SCI)

    • 🧩 PCB Defect Recognition via Bi-directional Feature Extraction – Journal of Wuhan University of Technology

    • πŸ–Œ Edge Blur Estimation for Depth Restoration – Journal of Computers

    • 🧠 Image Segmentation and Depth Recovery – Journal of Chinese Image and Graphics

  • πŸ’‘ Intellectual Property:

    • πŸ”¬ Invention Patents: 10 (Ranked 1st to 8th) – covering intelligent factories, robotic arms, IoT, and image processing

    • πŸ’» Software Copyrights: 3 (First author)

    • 🧿 Integrated Circuit Layout Designs: 2 (One authored by him)

πŸ₯‡ Awards & Honors

  • 🌟 HefeiNormal University Research Star, 2022

  • πŸ₯‰ Third Prize – Natural Science Award (Host), Hefei Normal University, 202X

  • πŸ₯‰ Third Prize – Anhui Province Science and Technology Award (Ranked 4th), 2021

  • πŸ… Excellence in Science & Technology Progress, Anhui Provincial Computer Society (1st Rank), 2021

PublicationΒ Top Notes:

Optimization of the Pure Pursuit algorithm based on real-time error