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

 

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award

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Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award 

Prof. Yankun Peng, China Agricultural University, China

Dr. Peng is a distinguished researcher and professor in the field of Agricultural Engineering with a focus on intelligent detection systems and automated devices for evaluating agricultural product quality and safety. He holds a Ph.D. in Biological and Agricultural Engineering from Tokyo University of Agriculture and Technology, Japan, and has extensive academic and professional experience in both China and the United States. Since 2007, Dr. Peng has served as a Professor and PhD supervisor at the College of Engineering, China Agricultural University (CAU), where he also holds key leadership roles including Director of the National R&D Center for Agro-Processing Technology and Equipment and the National Technical Center for Nondestructive Evaluation, Identification, Instrument, and Equipment of Famous Agro-foods.

Professional Profile:

 

Summary of Suitability for Best Researcher Award 

Dr. Peng has authored 293 peer-reviewed journal articles and 257 conference proceedings, showcasing his prolific research output.He holds 107 patents (including a US patent), with 22 patents industrialized, reflecting his significant contributions to applied science and technology. Additionally, he has developed 18 series of equipment for agro-food quality inspection and grading. Dr. Peng has established 14 standards and authored 4 books and 17 book chapters, demonstrating his leadership in setting benchmarks and contributing to scientific literature.

Education

  • Ph.D. in Biological and Agricultural Engineering
    Tokyo University of Agriculture and Technology, Tokyo, Japan
    Apr. 1993 – Mar. 1996
    Major: Agricultural Engineering, Specialty in Biological Production Science
    Dissertation Title: Active Noise Control on Agricultural/Biological Production Machinery

    • Developed and designed a new type of Active Noise Control (ANC) system/equipment.
    • Proposed a Recurrent Least Squares (RLS) algorithm for noise reduction.
    • Conducted computer simulations of noise reduction effects using C/C++ programming language.
    • Constructed an Adaptive Digital Filter (ADF) system with digital signal processors (DSP) and C/C++ programming.
    • Evaluated the control system on actual machinery and simplified the control algorithm using matrix theory.
  • M.S. in Engineering in Agricultural Electrification & Automation
    Graduate School of Northeast Agricultural University, Harbin, China
    Sep. 1985 – Dec. 1988
    Major: Agricultural Electrification & Automation
    Thesis Title: A Microcomputer Control System for Livestock Granulated Feed Processing

    • Developed a PID feedback control system using a microcomputer.
    • Proposed a new control method for the rotation speed of a servomechanism.
    • Designed a controller using a microcomputer and assembly programming language.
    • Invented a grain flow sensor and applied the control system to livestock feed production.
    • Proposed a method for judging the stability of linear time-invariant systems.

Professional Experience

  • Professor and Ph.D. Supervisor
    Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU)
    Beijing, China
    Mar. 2007 – Present

    • Research in nondestructive measurement and instrumentation for agricultural product quality and safety.
    • Development of hyperspectral/multispectral and Raman spectral imaging methods for meat microbial contamination detection.
    • Development of rapid real-time inspection/detection systems and NIR optical instruments for agricultural product contaminants.
    • Teaching courses on nondestructive measurement technology and hyperspectral imaging techniques for agro-food quality attributes.
    • Supervised over 60 graduate students in agricultural engineering research.
  • Director, National R&D Center for Agro-Processing Technology and Equipment
    Ministry of Agriculture and Rural Affairs, China
    Nov. 2009 – Present

    • Oversight of national research and development projects related to agro-processing technology and equipment.
  • Director, National Technical Center for Nondestructive Evaluation, Identification, Instrument and Equipment of Famous, Special, Excellent and New Agro-foods
    Ministry of Agriculture and Rural Affairs, China
    Dec. 2019 – Present

    • Leadership in the development and evaluation of nondestructive techniques and equipment for agro-food quality assessment.

Publication top Notes:

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

Tailored Au@Ag NPs for rapid ractopamine detection in pork: Optimizing size for enhanced SERS signals

Optimization of Online Soluble Solids Content Detection Models for Apple Whole Fruit with Different Mode Spectra Combined with Spectral Correction and Model Fusion

SERS characterization and concentration prediction of Salmonella in pork

Rapid Quantitative detection of Ractopamine using Raman scattering features combining with Deep Learning

Non-destructive detection of TVC in pork by machine learning techniques based on spectral information

 

Assoc Prof Dr. Ahmet Aksöz | Monitoring Devices | Best Researcher Award

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Assoc Prof Dr. Ahmet Aksöz | Monitoring Devices | Best Researcher Award

Assoc Prof Dr. Ahmet Aksöz, Sivas Cumhuriyet University, Turkey

Ahmet Aksöz is an accomplished academic and researcher specializing in electrical machines, power electronics, and smart grid technologies. He holds dual B.Sc. degrees in Mechatronics and Mechanical Engineering from Erciyes University, Turkey, and completed his Integrated Ph.D. in Electrical and Electronics Engineering at Gazi University with a focus on minimizing cogging torque in permanent magnet synchronous motor drivers. His postdoctoral work included research positions at Aalborg University and Vrije Universiteit Brussel, where he contributed to advancements in modular multilevel converters, V2G technologies, and embedded programming. Currently, Dr. Aksöz serves as an Assistant Professor at Sivas Cumhuriyet University, leading research on electric vehicles, renewable energy, and smart grids. He has received numerous awards for his research contributions, including the 2024 Second Best Paper Award at the 12th International Conference on Smart Grid and multiple YÖK Academic Encouragement Awards. Dr. Aksöz is actively involved in several EU COST and Horizon Europe projects, focusing on innovative energy solutions and modular power systems.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Ahmet Aksöz has extensive research experience in diverse areas including electrical machines, power electronics, control systems, smart grids, and renewable energy. His work spans multiple prestigious institutions, such as Gazi University, Aalborg University, Vrije Universiteit Brussel, and Sivas Cumhuriyet University, demonstrating a solid track record in both foundational and cutting-edge research.

Education

  • 2009-2013: B.Sc. in Mechatronics Engineering, Erciyes University, Turkey (First Degree)
  • 2009-2013: B.Sc. in Mechanical Engineering (Double Major), Erciyes University, Turkey
  • 2013-2018: Integrated PhD in Electrical and Electronics Engineering, Gazi University, Turkey
    • Dissertation: Design and Control of Decreased Cogging Torque of Grid-Connected Three Phase Permanent Magnet Synchronous Motor Driver
  • 2015: Researcher, Electrical and Electronic Engineering Department, Oviedo University
  • 2018: Researcher, Energy Department, Aalborg University
  • 2019-2021: Postdoctoral Researcher, MOBI Team, Vrije Universiteit Brussel

Work Experience

  • 2021-Present: Assistant Professor, Sivas Cumhuriyet University (SCU)
  • 2019-2021: Postdoctoral Researcher, MOBI Team, Vrije Universiteit Brussel (VUB)
  • 2018-2019: Researcher, Energy Department, Aalborg University
  • 2013-2018: Research Assistant, Gazi University

 

Publication top Notes:

Advancing Electric Vehicle Infrastructure: A Review and Exploration of Battery-Assisted DC Fast Charging Stations

Optimizing Lithium-Ion Battery Performance: Integrating Machine Learning and Explainable AI for Enhanced Energy Management

Integrating Machine Learning and MLOps for Wind Energy Forecasting: A Comparative Analysis and Optimization Study on Türkiye’s Wind Data

Revolutionizing Electric Vehicle Adoption: A Holistic Integration of Marketing Strategies and Analytical Insights

Discharge Capacity Estimation for Li-Ion Batteries: A Comparative Study

Empowering Sustainability: A Consumer-Centric Analysis Based on Advanced Electricity Consumption Predictions

A Comparative Study of AI Methods on Renewable Energy Prediction for Smart Grids: Case of Turkey

 

 

Dr. Amila Jayasinghe | Monitoring | Best Researcher Award

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Dr. Amila Jayasinghe | Monitoring | Best Researcher Award

Dr. Amila Jayasinghe, University of Moratuwa, Sri Lanka

Dr. Amila Jayasinghe is a distinguished Senior Lecturer Grade II at the Department of Town & Country Planning at the University of Moratuwa, Sri Lanka. A Chartered Town Planner affiliated with the Institute of Town Planners, Sri Lanka (ITPSL), he has an extensive academic and professional background in urban planning and infrastructure development. He earned his Doctor of Engineering in Energy & Environment from Nagaoka University of Technology, Japan, and his Master of Planning in Infrastructure Planning from CEPT University, India, where he topped his class. Dr. Jayasinghe’s career at the University of Moratuwa began in 2008 as a Temporary Instructor and progressed through various academic roles, culminating in his current position. He has been recognized for his contributions through numerous memberships and leadership roles in professional organizations such as the Sri Lanka Society of Transport and Logistics (SLSTL) and the Japanese Graduates’ Alumni Association of Sri Lanka (JAGAAS). Dr. Jayasinghe continues to impact the field of town and country planning through his dedication to teaching, research, and active engagement in professional communities.

Professional Profile

Employment Records:

👨‍🏫 Senior Lecturer (GI), Department of Town and Country Planning, University of Moratuwa, Sri Lanka (Since 02nd October 2023)

👨‍🏫 Senior Lecturer (GII), Department of Town and Country Planning, University of Moratuwa, Sri Lanka (2nd October 2017 – 1st October 2023)

👨‍🏫 Lecturer (Transitional), Department of Town and Country Planning, University of Moratuwa, Sri Lanka (31st August 2017 – 1st October 2017)

👨‍🏫 Lecturer (Probationary), Department of Town and Country Planning, University of Moratuwa, Sri Lanka (2nd October 2012 – 30th August 2017)

👨‍🏫 Lecturer (On Contract), Department of Town and Country Planning, University of Moratuwa, Sri Lanka (August 2011 – October 2012)

👨‍🏫 Temporary Instructor, Department of Town and Country Planning, University of Moratuwa, Sri Lanka (June 2008 – June 2009)

Higher Education:

🎓 Doctor of Engineering (Energy & Environment), Nagaoka University of Technology, Japan (2017)

🎓 Master of Planning in Infrastructure Planning, CEPT University, India (2011)
Batch Top, Highest GPA in the Faculty of Planning, Class Size 200+

🎓 Honours Degree of Bachelor of Science in Town & Country Planning, University of Moratuwa, Sri Lanka (2008)
Batch Top, First Class

Professional Qualifications and Memberships:

🏅 Corporate Member, Institute of Town Planners, Sri Lanka (ITPSL)
🏅 Executive Committee Member (2020-2021), ITPSL
🏅 Committee Member, Board of Education (2019-2023), ITPSL
🏅 Regular Member, Sri Lanka Society of Transport and Logistics (SLSTL)
🏅 Vice President (2021-2023), SLSTL
🏅 Member, OSGeo Sri Lanka
🏅 Treasurer (2018-2022), OSGeo Sri Lanka
🏅 Member, Japanese Graduates’ Alumni Association of Sri Lanka (JAGAAS), Sri Lanka
🏅 Vice President (2022-2023), JAGAAS, Sri Lanka
🏅 Associate Member, Sri Lanka Association for Improving Higher Education Effectiveness (SLAIHEE), Sri Lanka
🏅 Regular Member, Eastern Asia Society for Transport Studies (EAST), Japan
🏅 Member, Transport Research Board (TRB), USA

Publications Notes:📄