Liao Jun Guo | Object Detection | Best Researcher Award

Prof . Dr . Liao Jun Guo | Object Detection | Best Researcher Award

Teacher at Hunan University of Science and Technology, China

Prof. Dr. Jun Guo Liao is a distinguished academic and researcher serving as a Full Professor at the School of Computer Science and Engineering, Hunan University of Science and Technology, China. With a Ph.D. in Information Security earned from Huazhong University of Science and Technology in 2007, he brings over 15 years of scholarly excellence and pedagogical contribution to his field. His professional journey has been defined by a steadfast commitment to information security and the broader discipline of computer applications. Throughout his academic career, Prof. Liao has mentored numerous students, contributed to curriculum development, and engaged in research that addresses pressing issues in digital safety and technological advancement. His experience and leadership have made significant contributions to institutional growth, while his ongoing research aims to support the secure evolution of computing systems in a connected world. He continues to pursue innovative solutions to challenges in cybersecurity and digital system integration.

Professional Profile 

Education🎓

Prof. Dr. Jun Guo Liao has a strong educational background rooted in information technology and computer science. He earned his Ph.D. in Information Security from the prestigious Huazhong University of Science and Technology in 2007, one of China’s leading institutions in science and engineering. During his doctoral studies, he specialized in areas related to data protection, system vulnerabilities, cryptographic protocols, and secure computing systems. His academic training equipped him with a deep understanding of cybersecurity frameworks, cryptography, and network defense mechanisms. Prior to his doctoral studies, Prof. Liao likely completed a rigorous undergraduate and master’s education in computer science or related fields, building a solid foundation for his future research endeavors. His educational journey has not only shaped his technical expertise but also reinforced his ability to approach complex research problems with academic rigor and analytical depth. This strong academic foundation continues to underpin his success as a researcher and educator.

Professional Experience📝

Prof. Dr. Jun Guo Liao has accumulated extensive professional experience as a dedicated educator, researcher, and academic leader. He currently serves as a Full Professor at the School of Computer Science and Engineering at Hunan University of Science and Technology, where he has played a pivotal role in both teaching and research. His responsibilities span delivering advanced-level courses, supervising graduate students, and contributing to academic policy-making within the university. Since completing his Ph.D. in 2007, he has focused his career on advancing the field of information security and computer applications. Over the years, Prof. Liao has likely led funded research projects, participated in national-level research programs, and collaborated with industrial partners to translate theoretical work into practical solutions. His professional achievements reflect a sustained commitment to academic excellence, institutional development, and scientific contribution. His role as a faculty leader highlights his ability to foster research innovation and academic integrity.

Research Interest🔎

Prof. Dr. Jun Guo Liao’s research interests center on information security and computer applications, two domains of critical importance in the digital age. His work explores the development of secure computing environments, the design of cryptographic algorithms, and the protection of data across networks and systems. He is particularly interested in safeguarding sensitive information against cyber threats, improving authentication systems, and fortifying infrastructure against unauthorized access. Additionally, Prof. Liao’s interests likely extend into applied computer science areas such as secure software development, cloud computing security, and artificial intelligence in cybersecurity. His research strives to bridge theoretical computer science with practical applications, offering real-world solutions to modern digital challenges. Through his work, Prof. Liao contributes to building resilient and trustworthy computing environments. His interest in interdisciplinary collaboration enables him to address complex problems that intersect with data privacy, digital ethics, and secure communications, making his research highly impactful and timely.

Award and Honor🏆

While specific awards and honors were not listed in the available curriculum vitae, it is likely that Prof. Dr. Jun Guo Liao has received recognition at various institutional, regional, or national levels for his academic and research achievements. As a Full Professor with a Ph.D. in Information Security and a sustained academic career, he may have been honored with outstanding teaching awards, research excellence awards, or government-funded research grants. His contributions to the advancement of cybersecurity and academic mentorship position him as a valuable figure in the academic community, potentially earning him roles in review panels, conference committees, or research consortiums. Furthermore, his long-standing affiliation with Hunan University of Science and Technology suggests consistent internal recognition for academic leadership and service. Additional details on his recognitions would further affirm his suitability for prestigious awards such as the Best Researcher Award, reflecting his excellence and dedication in his field.

Research Skill🔬

Prof. Dr. Jun Guo Liao possesses advanced research skills in the domains of information security and computer applications, which encompass both theoretical and applied methodologies. His expertise includes cryptographic system design, vulnerability assessment, secure communication protocols, and data protection strategies. He demonstrates strong analytical thinking, problem-solving abilities, and a keen understanding of algorithmic implementation for secure systems. Over the years, he has likely developed skills in research project management, academic writing, peer reviewing, and mentoring graduate students. Additionally, his technical skill set may include programming, network analysis, penetration testing, and proficiency in tools related to cybersecurity. Prof. Liao is also adept at conducting literature reviews, designing experimental models, and evaluating system security in real-world applications. These research competencies enable him to contribute meaningfully to the academic discourse on digital safety while promoting innovation in technology. His continuous development of research skills supports his contributions to scholarly excellence and institutional impact.

Conclusion💡

Based on the limited available information, Prof. Dr. Jun Guo Liao appears to be a strong academic with expertise in information security, making him potentially eligible for the Best Researcher Award. However, to confidently support his nomination, it is highly recommended to provide:

  • A complete list of publications and citation metrics

  • Details of research projects, funding, and impactful contributions

  • Any national/international recognitions or awards

  • Evidence of research leadership and community involvement

Publications Top Noted✍

  • Title: MBB-YOLO: A comprehensively improved lightweight algorithm for crowded object detection
    Year: 2024
  • Title: A multikey fully homomorphic encryption privacy protection protocol based on blockchain for edge computing system
    Year: 2023
    Citations: 5
  • Title: DTSAC: Smart Contract-based Access Control with Delegation and Trust Management
  • Title: An adaptive traffic sign recognition scheme based on deep learning in complex environment




Ms. Xiaotian Zhou | Large-Scale Vision | Best Researcher Award

Ms. Xiaotian Zhou | Large-Scale Vision | Best Researcher Award

Zhejiang University of Science and Technology, China

👨‍🎓 Profiles

Orcid

Publications

Research on the Upgrading of University Library Platform Service from the Perspective of Digitalization

  • Author: Xiaotian Zhou
    Journal: International Journal of Educational Development
    Year: 2025

Research on the Construction of Cultural Landscape in University Libraries from the Perspective of Communication Studies

  • Author: Xiaotian Zhou
    Journal: Designs
    Year: 2022

Research on the Application of Agenda Setting Theory in University Libraries: A Case Study of Zhejiang University of Science and Technology Library

  • Author: Xiaotian Zhou
    Journal: Journal of Wuzhou University
    Year: 2022

Prof. Aasma Shaukat | Applications of Computer Vision | Best Paper Award

Prof. Aasma Shaukat | Applications of Computer Vision | Best Paper Award

Professor at New York University, United States

Profiles

Scopus

Google Scholar

Education

Dr. Shaukat completed her F.Sc Pre-Medical at Kinnaird College for Women, Lahore in 1993. She earned her M.B., B.S. in Medicine from The Aga Khan University Medical College, Karachi in 1998. Her postgraduate studies include an MPH in International Health and Epidemiology from Johns Hopkins School of Public Health (2000), an Internship in Internal Medicine at State University of New York School of Medicine and Biomedical Sciences (2001), a Residency in Internal Medicine at the same institution (2003), and a Fellowship in Gastroenterology from Emory University School of Medicine (2007).

Current Appointments and Leadership Positions

Dr. Aasma Shaukat is the Program Director of KL2 at CTSI NYU (since January 2024). She has been serving as the Director of GI Outcomes Research and the Robert M. and Mary H. Glickman Endowed Professor of Medicine at NYU School of Medicine since July 2021. Additionally, she is a Professor of Population Health and Co-Director of the TREC Program at CTSI. She also holds a position as a Staff Physician at NY Harbor VA, New York and is an Adjunct Professor at the University of Minnesota School of Public Health (since May 2018).

Awards and Honors

Among her numerous accolades, Dr. Shaukat was selected for the AGA Executive Women Leadership workshop in Denver (2023) and received the ACG Colon Cancer Prevention Abstract Award in Vancouver (2023). She has been honored with the American College of Gastroenterology Governor’s Award for Excellence in Clinical Research (2020) and the AGA Young Investigator Award (2016). Other notable awards include the Champion of Colorectal Cancer Prevention Award (2014) and multiple Teacher of the Year Awards from the University of Minnesota Medical School.

Memberships and Professional Organizations

Dr. Shaukat is a Member of the Board of Trustees at the American College of Gastroenterology and the Chair Elect of the Clinical Practice Section at the American Gastroenterology Association Institute. She is also a Board Member of GIQUIC and serves on the Advisory Panel of PCORI. Her involvement includes being a Member of the DEI Committee at ASCI, Chair of the GI Field Advisory Board at VHA, and a Member of the US Multi-Society Task Force on Colon Cancer.

Research Activity

Dr. Shaukat’s research is centered around clinical, epidemiological, and translational studies focusing on colorectal cancer screening, quality indicators for colonoscopy, molecular markers of post-colonoscopy colon cancer, and chemoprevention. She is currently leading comparative effectiveness trials, including studies on fecal microbiota transplants for recurrent C. difficile infection and evaluating screening modalities to enhance colorectal cancer screening programs, especially in reducing disparities. Her expertise extends to systematic review and evidence synthesis.

Clinical Activity

Dr. Shaukat dedicates 35% of her time to endoscopy and outpatient GI clinic work, focusing on gastrointestinal (GI) cancers, both hereditary and sporadic. She has a special interest in quality indicators and the development of tools and techniques to enhance colonoscopy outcomes.

Mentoring Activity

As a dedicated mentor, Dr. Shaukat serves as Co-Director of NYU CTSI’s Training Education Research and Careers Core, overseeing educational and training initiatives across NYU. She also directs the KL2 program, mentoring KL2 scholars and K awardees to achieve independent funding. Dr. Shaukat’s mentorship extends across various roles, including primary mentoring responsibilities for junior faculty, colorectal surgery, and gastroenterology fellows. Her commitment to mentorship is reflected in her publications, where she has co-authored numerous papers with her mentees, many of whom have progressed to prominent positions in the medical field.

Teaching Activities

Dr. Shaukat plays a significant role in teaching and curriculum development. She co-directs the K to R Scholars Program at NYU and has been involved in teaching colon cancer topics to second-year medical students. Her past roles include serving as Site Director for trainee rotations at the VA Medical Center in Minneapolis, MN, and developing curriculum and journal club lectures for GI fellows.

Continuing Medical Education

Dr. Shaukat has been actively involved in continuing medical education, serving as Course Director for various ASGE and American College of Gastroenterology postgraduate courses. Her contributions to medical education extend to her role as faculty for regional conferences and her involvement in educational affairs and peer review committees.

 

Publications

Effect of ginger supplementation on the fecal microbiome in subjects with prior colorectal adenoma

  • Authors: Prakash, A., Rubin, N., Staley, C., Church, T.R., Prizment, A.
  • Journal: Scientific Reports
  • Year: 2024

Adenomas and Sessile Serrated Lesions in 45- to 49-Year-Old Individuals Undergoing Colonoscopy: A Systematic Review and Meta-Analysis

  • Authors: Abdallah, M., Mohamed, M.F.H., Abdalla, A.O., Bilal, M., Shaukat, A.
  • Journal: American Journal of Gastroenterology
  • Year: 2024
  • Authors: Weaver, L., Mott, S.L., Thatipelli, S., Shaukat, A., Goffredo, P.
  • Journal: Journal of Gastrointestinal Surgery
  • Year: 2024

Multilevel Interventions to Improve Colorectal Cancer Screening in an Urban Native American Community: A Pilot Randomized Clinical Trial

  • Authors: Shaukat, A., Wolf, J., Rudser, K., Wisdom, J.P., Church, T.R.
  • Journal: Clinical Gastroenterology and Hepatology
  • Year: 2024

Prevalence of Sessile Serrated Lesions in Individuals With Positive Fecal Immunochemical Test Undergoing Colonoscopy: Results From a Large Nationwide Veterans Affairs Database

  • Authors: Wilson, N., Bilal, M., Westanmo, A., Gravely, A., Shaukat, A.
  • Journal: Gastroenterology
  • Year: 2024

Prof. Hoonsoo Lee | Applications of Computer Vision | Best Researcher Award

Hoonsoo Lee | Applications of Computer Vision | Best Researcher Award

Hoonsoo Lee at Chungbuk National University, South Korea

Profiles

Scopus

Orcid

 Academic Background:

He is an Associate Professor in the Dept. of Biosystems Engineering at Chungbuk National University, located in Cheongju, Korea. The university is situated at 1 Chungdae-ro, BLDG# S21-24, RM# 202, Seowon-gu, Cheongju-si, Chungcheongbuk-do, 28644, Republic of Korea.

Education:

Prof. Lee earned his Ph.D. in Agricultural Machinery Engineering from Chungnam National University in August 2015, with a dissertation on the rapid detection of pathogenic infections in watermelon seeds using spectral image analysis. He completed his M.S. in the same field in August 2009, focusing on the development of an electronic nose system for evaluating meat freshness. He holds a B.S. in Bioindustrial Machinery Engineering, which he completed in August 2007.

 Employment History:

Prof. Lee has been an Associate Professor at Chungbuk National University since September 2018. Prior to this, he worked as a PostDoc Researcher at the United States Department of Agriculture (USDA) Agricultural Research Service (ARS) in Beltsville, MD, USA, from August 2015 to August 2018. His experience also includes serving as a Research Assistant at Chungnam National University from June 2008 to August 2015 and an internship at USDA, ARS from July 2010 to June 2011.

 Research Interests:

Prof. Lee’s research focuses on developing nondestructive sensing technology for agricultural and food products. He is also interested in data analysis using hyperspectral imaging in conjunction with machine learning and artificial intelligence techniques.

 Research Experience:

Prof. Lee specializes in non-destructive quality measurement of food and agricultural products using vibrational spectroscopic techniques. His work includes developing and commercializing a high-throughput online detection system utilizing optical techniques. He has created hyperspectral and multispectral imaging systems for pathogen-infected seeds and fecal contamination on leafy greens. Additionally, he has developed hyperspectral imaging systems to evaluate food quality, focusing on applications such as detecting physical damages in pears, identifying cracks in tomatoes, assessing color levels in pepper powder, and measuring moisture distribution in cooked meats, rice, and soybeans. Furthermore, he has created a multipurpose floating platform for hyperspectral imaging and monitoring E. coli concentrations in irrigation ponds in Maryland. His research also includes developing Vis/NIR hyperspectral models for assessing the effects of water and fertilizer on crops like cabbage, garlic, and soybeans, as well as laser speckle technology for diagnosing crop stress to enhance precision agriculture practices.

 Publications:

Current trends in the use of thermal imagery in assessing plant stresses: A review
  • Authors: Adhitama Putra Hernanda, R., Lee, H., Cho, J.-I., Cho, B.-K., Kim, M.S.
  • Journal: Computers and Electronics in Agriculture
  • Year: 2024
Chlorophyll Fluorescence Imaging for Environmental Stress Diagnosis in Crops
  • Authors: Park, B., Wi, S., Chung, H., Lee, H.
  • Journal: Sensors
  • Year: 2024
Construction of a sustainable model to predict the moisture content of porang powder (Amorphophallus oncophyllus) based on pointed-scan visible near-infrared spectroscopy
  • Authors: Amanah, H.Z., Rahayoe, S., Harmayani, E., Lee, H.
  • Journal: Open Agriculture
  • Year: 2024
Spectroscopy Imaging Techniques as In Vivo Analytical Tools to Detect Plant Traits
  • Authors: Hernanda, R.A.P., Lee, J., Lee, H.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2023
Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic
  • Authors: Ryu, J., Wi, S., Lee, H.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2023