Prof. Dr. Len Gelman | Monitoring | Best Researcher Award

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Prof. Dr. Len Gelman | Monitoring | Best Researcher Award 

Prof. Dr. Len Gelman, The University of Huddersfield, United Kingdom

Professor Len Gelman is a distinguished academic and researcher in the fields of Signal Processing, Condition Monitoring, and Maintenance. He holds a PhD and Doctor of Science (Habilitation) degrees and is a Fellow of several prestigious institutions, including the British Institute of Non-Destructive Testing (BINDT), IAENG, IDE, and HEA. Since 2017, Professor Gelman has served as the Professor and Chair in Signal Processing and Condition Monitoring/Maintenance at the University of Huddersfield, where he is also the Director of the Maintenance Centre for Efficiency and Performance Engineering. Prior to this, he was a Professor at Cranfield University (2002-2017), where he established a leading research programme in vibro-acoustical condition monitoring. Professor Gelman has received numerous accolades, including the UK Rolls-Royce Innovation Award (2019), the COMADIT Prize (2017), and the Best Paper Award at the International Condition Monitoring/Maintenance Conference (2016 and 2013). With extensive experience in both academia and industry, he has developed pioneering technologies for damage detection in turbines and aircraft engines, with significant contributions to Rolls-Royce, Dresser-Rand, and Scottish Southern Energy. Professor Gelman has built strategic international partnerships with top universities and research centres across the globe, including institutions in China, Korea, the USA, and Europe. He has supervised numerous postdoctoral fellows and researchers and is renowned for his leadership in vibro-acoustical condition monitoring, a field in which he has secured over £7.3M in research grants.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Professor Len Gelman is an outstanding researcher whose extensive contributions to signal processing, condition monitoring, and maintenance engineering position him as a leading figure in his field, making him an ideal candidate for the Best Researcher Award. His innovative work has consistently benefited both industry and society, earning him significant recognition and awards.

Education 🎓

  • BSc (Hons), MSc (Hons) in Signal Processing and Condition Monitoring/Maintenance

  • PhD, Doctor of Science (Habilitation) in Vibro-Acoustical Monitoring/Maintenance

Work Experience 💼

  • 2017-present
    Professor and Chair in Signal Processing and Condition Monitoring/Maintenance
    Director of the Maintenance Centre for Efficiency and Performance Engineering
    University of Huddersfield, UK

  • 2002-2017
    Professor and Chair in Vibro-Acoustical Monitoring/Maintenance
    Cranfield University, UK

Achievements 🏆

  • Led research in condition monitoring and maintenance for complex systems.

  • Built the novel “Vibro-acoustical condition monitoring of complex mechanical systems” research program at Cranfield University.

  • Recruited over 90 MSc students from various international universities for MSc studies at Cranfield.

  • Successfully gained £7.3M in research grants for research projects involving leading companies like Rolls-Royce, Caterpillar, and Shell.

  • Established strategic international partnerships with world-class universities and research centres around the globe. Monitoring

Awards and Honors 🥇

  • UK Rolls-Royce Innovation Award (2019)

  • COMADIT Prize for significant contributions to condition monitoring/maintenance (2017)

  • Rolls-Royce Engineering Award for Innovation (2012)

  • EC Fellowship Award (2015) – European Social Fund-Human Capital Operational Programme

  • Oxford Academic Health Science Network Award (2014)

  • Best Paper Award at CM/MFPT 2016 and CM/MFPT 2013

  • William Sweet Smith Prize from the UK Institution of Mechanical Engineers (2010)

  • USA Navy Award for helicopter fault diagnosis methodologies (1998)

  • Acoustical Society of America Award (1998)

Professional Recognition 🌟

  • Chairman of several international committees, including:

    • International Institute of Acoustics and Vibration (USA) (2014-2016)

    • International Society for Condition Monitoring/Maintenance (2011-2017)

    • European Federation of NDT (2014-present)

  • Editorial Board Member for renowned journals:

    • “Insight” NDT and Condition Monitoring

    • “Electronics” (MDPI)

    • “Energies” (MDPI)

    • “Prognostics and Health Management”

    • IEEE Fellow (Recognized as a leading professional in the field)

Publication Top Notes:

Novel Investigation of Influence of Torsional Load on Unbalance Fault Indicators for Induction Motors

Vibration analysis of rotating porous functionally graded material beams using exact formulation

Novel instantaneous wavelet bicoherence for vibration fault detection in gear systems

Novel prediction of diagnosis effectiveness for adaptation of the spectral kurtosis technology to varying operating conditions

Vibration health monitoring of rolling bearings under variable speed conditions by novel demodulation technique

Novel fault identification for electromechanical systems via spectral technique and electrical data processing

Novel method for vibration sensor-based instantaneous defect frequency estimation for rolling bearings under non-stationary conditions

Novel higher-order spectral cross-correlation technologies for vibration sensor-based diagnosis of gearboxes

Novel vibration structural health monitoring technology for deep foundation piles by non-stationary higher order frequency response function

 

Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

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Prof. Syafruddin Side | Transmission Prediction | Best Researcher Award

Prof. Syafruddin Side, Makassar State University, Indonesia.

Prof. Dr. Syafruddin Side is a distinguished mathematician specializing in mathematical modeling, dynamical systems, and differential equations. He is a faculty member in the Department of Mathematics at the Faculty of Mathematics and Science, Universitas Negeri Makassar, Indonesia. He earned his Bachelor’s degree in Applied Mathematics from Hasanuddin University (1991-1996), followed by a Master’s degree in Analysis and Applied Mathematics from Bandung Institute of Technology (2000-2003), and a Ph.D. in Applied Mathematics from the National University of Malaysia (2009-2013). His doctoral research focused on mathematical modeling of the spread of dengue viruses in Indonesia and Malaysia. With an h-index of 18 on Google Scholar and 13 on Scopus, he has made significant contributions to his field through numerous publications. His research interests lie in solving complex mathematical problems using analytical and computational techniques.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Based on Prof. Dr. Syafruddin Side’s research profile, he appears to be a strong candidate for the Best Researcher Award, given his expertise and contributions in applied mathematics, particularly in mathematical modelling, dynamical systems, and differential equations. Below is a detailed evaluation of his suitability for the award.

🎓 Education Background

  • S-1 (Bachelor’s Degree) – 📍 Hasanuddin University (1991-1996)

    • Field: Applied Mathematics
    • Thesis: Solution of Poisson Equation with Boundary Element Method
    • Supervisor: Dr. Jeffry Kusuma

  • S-2 (Master’s Degree) – 📍 Bandung Institute of Technology (2000-2003)

    • Field: Analysis and Applied Mathematics
    • Thesis: Analytical Perturbation for General Characteristics Value Semi-Simple
    • Supervisor: Prof. Dr. Wono Setya Budi

  • S-3 (Doctoral Degree, Ph.D.) – 📍 National University Malaysia (2009-2013)

    • Field: Applied Mathematics
    • Thesis: SIR and SEIR Mathematical Models for the Spread of Dengue Viruses in South Sulawesi, Indonesia, and Selangor, Malaysia
    • Supervisor: Prof. Dr. Mohd. Salmi Md. Noorani

👨‍🏫 Work Experience

  • Professor at the Department of Mathematics, Faculty of Mathematics and Science, Universitas Negeri Makassar (UNM) 📍🇮🇩
  • Researcher in Mathematical Modeling, Dynamical Systems, and Differential Equations
  • Mentor & Supervisor for Master’s and Ph.D. Students 🎓✍️

🏆 Achievements, Awards & Honors

  • H-index: 📊
    • Google Scholar: 18
    • Scopus: 13
  • Published in Renowned Journals 📚
  • Invited Speaker at International Conferences 🎤🌍
  • Recognized for Contributions to Mathematical Modeling in Epidemiology 🦠📈
  • Contributor to National and International Research Projects 🔬💡

Publication Top Notes:

Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia

CITED:490

A SIR model for spread of dengue fever disease (simulation for South Sulawesi, Indonesia and Selangor, Malaysia)

CITED:172

SEIR model for transmission of dengue fever in Selangor Malaysia

CITED:102
CITED:98
CITED:69

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

Dr. Thierry Boileau | System Surveillance Awards | Best Scholar Award

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Dr. Thierry Boileau | System Surveillance Awards | Best Scholar Award

Dr. Thierry Boileau, University of Lorraine, France

Thierry Boileau is an Assistant Professor at the University of Lorraine in France, specifically within the École Nationale Supérieure d’Électricité et de Mécanique (ENSEM) and the Laboratoire d’Énergétique et de Mécanique Théorique et Appliquée (LEMTA). He earned his Ph.D. in Electrical Engineering from INPL Nancy in 2010, with a dissertation focused on the continuity of service for synchronous actuators with permanent magnets, addressing mechanical sensor faults and electrical defect detection. He also holds a Master’s degree in Electrical Engineering from Nancy University and a prestigious French teaching degree, Agrégation de Sciences Physiques.

Professional Profile:

ORCID

Summary of Suitability for Best Scholar Award: Thierry Boileau

Thierry Boileau demonstrates outstanding qualifications for the Best Scholar Award based on his exceptional academic and research achievements in electrical engineering. Below is a detailed evaluation of his suitability

🎓 Academic Education:

  • Ph.D. in Electrical Engineering (2010, INPL Nancy, France)
    • Thesis Title: “Contribution to the Service Continuity of Synchronous Actuators with Permanent Magnets: Tolerance to Mechanical Sensor Failure and Electrical Fault Detection”
  • Master’s Degree in Electrical Engineering (2004, Nancy University, France)
  • French Teaching Degree (Agrégation de Sciences Physiques, 1999)

📚 Background and Achievements:

  • Publications:
    • 19 journal papers (mainly in IEEE Transactions)
    • 20 international conference papers
  • Research Impact:
    • H-index: 15 (as of November 2023, source: Scopus)
    • Citations: 1,337 (as of November 2024, source: Google Scholar)

👨‍🎓 Research Supervision:

  • Master’s Degree Students: 2
  • Ph.D. Students: 7 (3 defended theses and 4 ongoing)

🤝 Industrial Partnerships:

  • Collaborations with 5 industrial partners (including SAFRAN, EADS, SEW, CNC-SNR, etc.)
  • 4 industrial contract reports

🔬 Research Activities:

Thierry’s primary research interests include:

  • Diagnostics and Control of Electrical Machines supplied by static converters.
  • Energy Carrier Management and microgrid technologies.

Publication Top Notes:

Online High Frequency Impedance Identification Method of Inverter-Fed Electrical Machines for Stator Health Monitoring

Comparison of high frequency winding modeling for stator health monitoring

Optimal performance identification of a combined free piston Stirling engine with a permanent magnet linear synchronous machine using dedicated controls

PMASynRM Local Demagnetization Fault Behavior Study Under Targeted Harmonic Excitation

A New Coupled Approach for Enthalpy Pumping Consideration in a Free Piston Stirling Engine (FPSE)

Introducing a New System for Energy Recovery of High and Mid-Temperature Renewable Energy Sources: Free Piston Stirling Engine Combined with a Permanent Magnet Linear Synchronous Machine

 

 

 

 

Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award

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Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award 

Dr. Sergei Badulin, P.P.Shirshov Institute of Oceanology, Russia

Sergei I. Badulin, born on May 7, 1959, in Murmansk, USSR, is a prominent Russian scientist specializing in the theoretical and experimental study of oceanic wave dynamics. He earned his M.Sc. in Aerophysics and Space Research from the Moscow Institute of Physics and Technology in 1982 and later completed his Ph.D. in Physics and Mathematics in 1985. Dr. Badulin’s doctoral research focused on the transformation of internal waves in the hydrological fields of the ocean. In 2009, he earned his D.Sc. with a thesis on the dynamics of surface and internal gravity waves, aiming at sea wave monitoring and forecasting.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Paper Award

Sergei I. Badulin appears highly suitable for the Best Paper Award, based on his extensive academic background, research contributions, and high-impact publications in the field of ocean wave dynamics and remote sensing. His long-standing career at prestigious institutes, such as the P.P. Shirshov Institute of Oceanology and Skolkovo Institute of Science and Technology, further emphasizes his influence in the scientific community.

Education:

  • 1976–1982: Moscow Institute of Physics and Technology (MIPT), Moscow, USSR
    • Degree: MSc in Aerophysics and Space Research, with honors (specialization: aero- and thermodynamics).
  • 1983–1985: Moscow Institute of Physics and Technology, Moscow, USSR
    • Degree: PhD in Physics and Mathematics.
    • PhD Thesis: Transformation of internal waves in inhomogeneities of hydrological fields of the ocean.
  • 2009: D.Sc. Thesis
    • Thesis: Dynamics of surface and internal gravity waves for the problem of monitoring and forecasting sea waves.
  • 1983–1985: Supplementary studies in French at the State Linguistic Extramural Courses.

Work Experience:

  • 2019–Present: Senior Research Scientist, Center for Advanced Studies, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • 2013–Present: Head of the Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 2009–2014: Leading Researcher, P.N. Lebedev Physical Institute, Russian Academy of Sciences.
  • 2012–2013: Leading Researcher, Russian State Hydrometeorological University, St. Petersburg, Russia.
  • 2010–2018: Leading Researcher, Novosibirsk State University, Novosibirsk, Russia.
  • 2000–2012: Leading Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1989–2000: Researcher and Senior Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1985–1989: Junior Researcher and Researcher, Atlantic Branch of P.P. Shirshov Institute of Oceanology, USSR, Kaliningrad, USSR.

International Experience:

  • 1998 (Sep–Nov): Visiting Scientist, Ship Research Institute, Ministry of Transport of Japan.
  • 1996 (Apr–Nov): Visiting Scientist, Laboratoire IOA, CNRS, Marseille, France.
  • 1993 (Jun–Feb): Postdoctoral Fellow, Centre International des Etudiants et Stagiaires, Laboratoire de Luminy, Marseille, France.

Publication top Notes:

CITED: 153
CITED: 139
CITED: 136
CITED: 68
CITED: 61
CITED: 61

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

 

Mr. Q Young Lee | Motorcycle Surveillance | Best Researcher Award

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Mr. Q Young Lee | Motorcycle Surveillance | Best Researcher Award

Mr. Q Young Lee, CITUS Co., Ltd, South Korea

Lee Q Young, born on July 26, 1969, is a distinguished professional in the field of Computer Science and Engineering. He completed his B.A. at Inha University in Inchon, South Korea, in 1991, where he authored an article on the “&GOTO” command for the 6502 Apple ][ computer in Computer Study magazine, a prominent Korean programming publication. He continued his education at Inha Graduate School, earning an M.Eng. in 1993 with a focus on Computer Networks. His thesis, titled “Design and Implementation of Terminal Server Using Single TCP Connection,” demonstrated his expertise in network systems and programming.

Professional Profile:

ORCID

 

Education

🎓 Inha University, Inchon, South Korea

  • B.A. in Computer Science and Engineering (1988-1991)
    • 📚 Wrote an article for Computer Study magazine on “&GOTO” for the 6502 Apple ][ computer in 1988.

🎓 Inha Graduate School, Inchon, South Korea

  • M.Eng. in Computer Science and Engineering (1992-1993)
    • 📑 Thesis: “Design and Implementation of Terminal Server Using Single TCP Connection”
    • 🛠️ Developed a virtual stack machine, an assembler, and a Pascal subset compiler.

Interests and Activities

💻 Java Environment in Embedded Systems
🔍 LDAP Environment
🛠️ SW Architecture
👁️ Researching Vision AI and Vehicle Navigation Software

Languages
🗣️ Fluent in Korean
🗨️ Not fluent in English

Work Experience

  • 1992 – 1993: Brain Family Corp., Seoul, South Korea
    • Part-time Engineer
      • 📝 Implemented a lexer, parser, and script processing routine for Video Effector.
  • 1993 – 1997: Hanmesoft Corp., Seoul, South Korea
    • Junior Engineer
      • ✏️ Developed Equation Editor and CLNP protocol driver.
      • 🛠️ Created Groupcasting Protocol Driver.
  • 1997 – 1998: Hanmesoft Corp., Seoul, South Korea
    • Senior Engineer
      • 🌐 Consulted on Korea Herald Daily News Service website and developed ISAPI applications.
      • 🏆 Led the Milestone project for Intranet solution with LDAP, IMAP4, and Java.
      • 📧 Managed Java Internet Mail Server project.

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