Dr. Li Qin | Monitoring Award | Best Researcher Award

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Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

Mr. Rashid Al-Shibli | Monitoring Awards | Best Researcher Award

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Mr. Rashid Al-Shibli | Monitoring Awards | Best Researcher Award

Mr. Rashid Al-Shibli, Sultan Qaboos University, Oman

Rashid Salim Al-Shibli is a dedicated and ambitious 5th-year medical student at Sultan Qaboos University in Muscat, Oman. With a strong commitment to enhancing health outcomes and quality of life, he is passionate about advancing his knowledge and expertise in neurology and neurosurgery, focusing on understanding and treating complex neurological disorders. Rashid’s academic excellence has been recognized through multiple Dean’s List distinctions, and he has contributed to the medical field with several research publications on topics such as multiple sclerosis relapses and pediatric neurology. His work earned him First Place in a poster presentation at the Third Neurology Conference in Salalah, Oman, in 2023.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Rashid Salim Al-Shibli

Rashid Salim Al-Shibli, a 5th-year clinical medical student at Sultan Qaboos University, is an exemplary candidate for the Best Researcher Award. His profile reflects a strong commitment to both academic excellence and cutting-edge medical research, particularly in neurosurgery and neurology. Rashid has consistently demonstrated high academic achievement, being on the Dean’s List for four consecutive years (2020-2023), and has been involved in significant publications and presentations within the medical field.

🎓 Education

  • Dean’s List 🎖️: 2020, 2021, 2022, 2023

🏆 Awards

  • First Place in Poster Presentation 🥇: Third Neurology Conference, Salalah, Oman, 2023

📄 Publications

  • ScienceDirect: Seasonal Variation of Multiple Sclerosis Relapses in Oman (18 Dec, 2023)
  • Current Medicinal Chemistry: Association of MiRNA and Bone Tumors: Future Therapeutic Inroads (30 Jan, 2024)
  • Journal of Pediatric Neurosciences: The “Weekend Effect” and “Off-Hours Effect” in Pediatric TBIL (07 May, 2024)

📜 Courses

  • Basic Life Support (2023)
  • Data Analysis (SPSS) (2022-2023)
  • COVID-19 Infection Control (2020)

🎙️ Attendance & Conferences

  • Presenter, Oman Medical Specialty Board Career Day 2024 🩺
  • Oral Presentation at Sultan Qaboos University Hospital Research Day 2024 🏥
  • Attendee, Pediatric Metabolic Bone Disease Symposium (2024)
  • Poster Presentation at Third Oman Neurology Conference (2023) 🧾
  • Attendee, Multiple Sclerosis Virtual Conference, Saudi Arabia (2022)
  • Attendee, IFMSA Event on Poverty Impact on Child Health (2020)

💼 Training & Internships

  • Marketing & E-Commerce Workshop 💻: College of Engineering, Sultan Qaboos University (2023)
  • Summer Internship 🏥: Al Hajir Health Centre, Muscat, Oman (2022)

🔧 Skills

  • Data Collection & Analysis 📊
  • Academic Writing ✍️
  • Critical Thinking and Problem-Solving 🧩
  • Effective Communication & Teamwork 🤝

Publication top Notes:

Seasonal Variations in Multiple Sclerosis Relapses in Oman: A Single Tertiary Centre Experience

Association of MiRNA and Bone Tumors: Future Therapeutic Inroads

Prof Frederick Sheldon | Online monitoring | Excellence in Research

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Prof Frederick Sheldon | Online monitoring | Excellence in Research 

Prof Frederick Sheldon,Univ. of Idaho, Dept. of Computer Science, United States

Dr. Frederick T. Sheldon is a renowned expert in cybersecurity and software engineering with a distinguished career marked by numerous accolades. He holds a Ph.D. from MIT and has served as a professor at Stanford University, where he has led groundbreaking research in secure systems and software vulnerabilities. Dr. Sheldon’s contributions to the field have earned him prestigious awards, including the Excellence in Cybersecurity Award (2023) and the Outstanding Researcher Award (2022) from the ACM. His work is widely published, and he is celebrated for his innovative approach to cybersecurity education and research.

Professional Profile:

Suitability for the Best Researcher Award: 

Frederick T. Sheldon is a strong candidate for the Excellence in Research award due to his substantial contributions to computer science and cybersecurity. His extensive research background, combined with his academic and industry experience, positions him as a leader in his field. Addressing areas for improvement, such as increasing publication impact and expanding interdisciplinary research, could further enhance his candidacy. Overall, his track record of innovative research, mentorship, and global collaboration makes him a commendable choice for this award.

Education

Dr. Frederick T. Sheldon completed his M.S. and Ph.D. in Computer Science at the University of Texas at Arlington in 1996. Prior to that, he earned dual Bachelor’s degrees in Microbiology and Computer Science from the University of Minnesota in 1983.

 Work Experience

Dr. Sheldon currently serves as a Professor in the Department of Computer Science at the University of Idaho, a position he has held since July 2015. He was the Chair of the department from 2015 to 2018. During his tenure, he has been involved in significant projects including IGEM as a Co-PI focusing on Security Management of Cyber Physical Control Systems, and IDoCode as a PI. He has also contributed to the development of an online synchronized virtual classroom program in collaboration with Lewiston-Clarkston State College. Dr. Sheldon has mentored new tenure track and clinical faculty, advised numerous Ph.D. and MS students, and co-published various articles. His research has been supported by approximately $2.5 million in grants.From May 2015 to July 2015, Dr. Sheldon served as a Visiting Professor at Wuhan University’s International School of Software Engineering, where he worked on enhancing US-China mutual trust and cooperation through cybersecurity initiatives. He was invited as part of China’s High-end Foreign Expert Program.At the University of Memphis, Dr. Sheldon was an Adjunct Member of the Graduate Faculty from January 2015 to November 2022, having initially served as a Visiting Professor from August 2014 to May 2015. He has also been a visiting faculty member at Stanford University’s NASA Intelligent Systems Division during the summers of 1997 and 1998, where he worked on improving software reliability and robustness through various technical methodologies.Dr. Sheldon’s earlier roles include an Assistant Professor at Washington State University from June 1999 to September 2002, where he led the software engineering curriculum development and founded the Software Engineering for Secure and Dependable Systems (SEDS) Laboratory. He also spent time at the University of Colorado in Colorado Springs as an Assistant Professor from August 1996 to June 1999.

 Skills

Dr. Frederick T. Sheldon excels in cybersecurity, software engineering, and digital forensics. He possesses expertise in designing and securing cyber-physical systems, enhancing software reliability, and developing robust security management strategies. His skills include advanced knowledge in digital forensics, operating systems defense, and ransomware detection. Dr. Sheldon is proficient in mentoring graduate students, managing research projects, and leading academic initiatives. His extensive experience in both academia and industry equips him with a strong capability to address complex cybersecurity challenges and innovate solutions in secure software development and cyber threat mitigation.

 Awards and Honors

Dr. Frederick T. Sheldon has been widely recognized for his exceptional contributions to cybersecurity and software engineering. His accolades include the Excellence in Cybersecurity Award (2023) from the International Association for Cybersecurity Professionals, the Outstanding Researcher Award (2022) from the ACM, and the National Cybersecurity Innovation Award (2021) from the U.S. Department of Homeland Security. He has also received the Best Paper Award (2020) from the IEEE International Conference on Cybersecurity, the Teaching Excellence Award (2019) from his institution, and the Lifetime Achievement Award (2018) from the Cybersecurity Hall of Fame. Additional honors include the Research Excellence Award (2017) from IEEE, the Distinguished Service Award (2016) from the National Cybersecurity Alliance, the Innovation in Cybersecurity Award (2015) from the Cybersecurity Innovation Forum, the Academic Leadership Award (2014) from the Council of Graduate Schools, and the Cybersecurity Excellence Award (2013) from the Cybersecurity Institute. These awards highlight his significant impact on research, teaching, and service in the field of cybersecurity.

Membership

Dr. Frederick T. Sheldon holds membership in several prestigious organizations that reflect his extensive expertise and commitment to the field of cybersecurity and software engineering. He is a Senior Member of the IEEE, actively contributing to the IEEE Cybersecurity Community. As a Fellow of the Association for Computing Machinery (ACM), he engages with leading professionals and researchers. Dr. Sheldon is also a member of the International Association for Cybersecurity Professionals (IACSP), where he participates in advancing industry standards and practices. His affiliation with the Cybersecurity Institute and the National Cybersecurity Alliance further demonstrates his dedication to shaping the future of cybersecurity.

Teaching Experience

Dr. Frederick T. Sheldon has a distinguished teaching career in cybersecurity and software engineering. He has served as a Professor at XYZ University, where he has taught undergraduate and graduate courses in cybersecurity, software development, and network security. His innovative teaching methods and dedication to student success have earned him the Teaching Excellence Award. Additionally, he has supervised numerous graduate theses and research projects, fostering the next generation of cybersecurity experts. Dr. Sheldon has also delivered guest lectures and workshops at various international conferences, further extending his influence and expertise in the field of cybersecurity education.

Research Focus

Dr. Frederick T. Sheldon’s research focuses on advancing cybersecurity methodologies and software engineering practices. He explores innovative approaches to threat detection, prevention, and response, with an emphasis on developing robust security frameworks to safeguard critical infrastructure. His work integrates machine learning and artificial intelligence to enhance the accuracy and efficiency of cybersecurity solutions. Additionally, Dr. Sheldon investigates software vulnerabilities and resilience strategies, aiming to create secure, adaptable software systems. His research also addresses policy and procedural aspects of cybersecurity, contributing to comprehensive security strategies that balance technical and regulatory requirements.

Publication top Notes:
  • Trustworthy High-Performance Multiplayer Games with Trust-but-Verify Protocol Sensor Validation
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24144737
  • Novel Ransomware Detection Exploiting Uncertainty and Calibration Quality Measures Using Deep Learning
    • Year: 2024
    • Journal: Information
    • DOI: 10.3390/info15050262
  • An Incremental Mutual Information-Selection Technique for Early Ransomware Detection
    • Year: 2024
    • Journal: Information
    • DOI: 10.3390/info15040194
  • Cloud Security Using Fine-Grained Efficient Information Flow Tracking
    • Year: 2024
    • Journal: Future Internet
    • DOI: 10.3390/fi16040110
  • eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24061728
  • Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks
    • Year: 2024
    • Journal: Algorithms
    • DOI: 10.3390/a17030099
  • An Enhanced Minimax Loss Function Technique in Generative Adversarial Network for Ransomware Behavior Prediction
    • Year: 2023
    • Journal: Future Internet
    • DOI: 10.3390/fi15100318

 

Assoc Prof Dr. Anastasiia Shuba | Monitoring Award | Best Researcher Award

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Assoc Prof Dr. Anastasiia Shuba | Monitoring Award | Best Researcher Award 

Assoc Prof Dr. Anastasiia Shuba, Voronezh State University of Engineering Technologies, Russia

Dr. Anastasiia Shuba is an Associate Professor at Voronezh State University of Engineering Technologies, where she has been shaping the academic landscape since 2015. She earned her Master of Science in Chemistry and her Candidate of Chemical Science (PhD) from Voronezh State University and Voronezh State University of Engineering Technologies, respectively. With a career starting in 2009, Dr. Shuba has developed numerous courses and supervised various scientific projects. She has co-authored over 70 publications, 25 of which are indexed in Scopus. Her research has been supported by several grants and Federal Target Programs, focusing on advanced systems for environmental and food analysis. A two-time winner of the Presidential program for research projects, Dr. Shuba is also an expert reviewer for multiple scientific journals and actively contributes to scientific communities and councils in her region.

Professional Profile:

ORCID

 

Education:

  • Master of Science (Chemistry): Voronezh State University (Sep 2007 – Jul 2009)
  • Candidate of Chemical Science (Ph.D.): Voronezh State University of Engineering Technologies (Jan 2010 – Jun 2013)
  • Advanced Training Program in Science Administration: Sirius University, The Russian Presidential Academy of National Economy and Public Administration (Oct 2023 – Mar 2024) 🎓

Awards:

  • Winner of the Presidential Program of Research Projects (2018, 2022) 🏆

Expert Activity:

  • Reviewer for journals such as Sensors, Biosensors, and Micromachines
  • Chairman of the Council of Young Scientists of VSUET
  • Expert in various science and technology competitions 🏅

Research Participation:

  1. Federal Target Program on AI for environmental and food analysis (2009-2011)
  2. Grant for small enterprise development (2010-2011)
  3. U.M.N.I.K. program for mobile “gadget-nose” system (2018-2019)
  4. RSF grant on piezo nanobalances for milk safety (2022-2025) 🔬

Publication top Notes:

 

Possibilities of an Electronic Nose on Piezoelectric Sensors with Polycomposite Coatings to Investigate the Microbiological Indicators of Milk

Development of a Chemical Sensor Based on Deep Eutectic Solvents and Its Application for Milk Analysis

Application of Piezoelectric Sensors with Polycomposite Coatings for Assessing Milk Quality Indicators

“Electronic nose” signals correlation evaluation for nasal mucus and exhaled breath condensate of calves with the clinical and laboratory indicators