Mr. Matyas Lukacs | Traceability Award | Young Scientist Award

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Mr. Matyas Lukacs | Traceability Award | Young Scientist Award

Mr. Matyas Lukacs, Hungarian University of Agriculture and Life Sciences, Hungary

Mátyás Krisztián Lukács, in Hungary, is a food scientist and research engineer specializing in food quality assessment, tracking solutions, and digitalization of the food industry. He is currently pursuing a Ph.D. in Food Science at the Hungarian University of Agriculture and Life Sciences while working as a Professional Coordinator at Neumann Nonprofit Kft. and a Research Engineer at Cibus Hungaricus. With extensive experience in analytical method development, product development, and laboratory accreditation, he has contributed to food industry advancements in Hungary. He has also served as a visiting researcher at the University of Innsbruck and the University of Novi Sad. In addition to his research and industry roles, he is an active lecturer and mentor, teaching courses on cloud-based AI computing and measurement techniques.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability Young Scientist Award

Mátyás Krisztián Lukács is a strong candidate for the Young Scientist Award, given his extensive experience in food science, traceability, and digital solutions. His PhD research, international collaborations, and impactful publications in sensor technology, spectroscopy, and blockchain applications for food quality assessment highlight his innovative contributions. Additionally, his teaching experience and mentorship further demonstrate his dedication to knowledge dissemination. With a robust publication record and a multidisciplinary approach, his work significantly advances food science and technology, making him highly suitable for this award.

🎓 Education

📌 BSc in Food Engineering (2011 – 2014)
Corvinus University of Budapest, Hungary

  • Specialization: Food Preservation and Quality Management

📌 MSc in Food Engineering (2015 – 2017)
Szent István University, Hungary

  • Specialization: Food Technology and Product Development

📌 PhD in Food Science (2022 – Present)
Hungarian University of Agriculture and Life Sciences, Hungary

📌 Visiting Researcher
🔹 University of Innsbruck, Austria (June 2023 – August 2023)
🔹 University of Novi Sad, Serbia (September 2024 – October 2024)

💼 Work Experience

📍 Professional Coordinator (May 2024 – Present)
Neumann Nonprofit Kft., Budapest, Hungary

  • 🚀 Developing a track and tracing application based on European Blockchain Services Infrastructure (EBSI)
  • 🤝 Managing consortium-related communications

📍 Research Engineer (February 2024 – Present)
Cibus Hungaricus, Budapest, Hungary

  • 🏭 Developing tracking solutions for food quality assessment
  • 📊 Analyzing and presenting data from the Hungarian food industry
  • 🌍 Contributing to the digitalization of the Hungarian food sector

📍 Analytical Method Developer (January 2019 – August 2020)
Biotech USA, Szada, Hungary

  • 🧪 Established an analytical laboratory for internal quality assurance
  • 🏆 Developed methods for macronutrient analysis and allergen detection
  • 🔬 Managed laboratory equipment acquisition and accreditation process

📍 Product Developer (July 2017 – December 2018)
Biotech USA, Budapest, Hungary

  • 🏗️ Developed new food products and variations
  • 🔍 Evaluated suppliers and raw materials
  • 👅 Conducted sensory analysis

📍 Internships
🔬 Process & Method Development Intern (July 2016 – August 2016) – Scitec Nutrition, Dunakeszi
📊 Quality Management Intern (July 2014 – October 2014) – Scitec Nutrition, Dunakeszi

🎖️ Achievements, Awards & Honors

🏅 Lecturer & Mentor

  • 📡 Lecturer: Introduction to Cloud-Based AI Computing for Engineers
  • 🛠️ Practical Lecturer: Measurement Techniques, Post-Harvest Technology
  • 🎓 MSc Student Thesis Co-Supervisor
  • 🤝 Internship & Living Lab Mentorship (EUDRES)

🌱 Volunteering

  • 🙏 Served at a Vipassana Meditation Course in Switzerland (July 2023)

🎯 Technical Skills

  • 🎨 Adobe Creative Suite (Photoshop, Animate, Audition, Premiere Pro)
  • 📊 R Studio
  • ☁️ Microsoft Azure Fundamentals & AI Fundamentals
  • 🏢 Microsoft Office (Excel, Word, PowerPoint, Outlook)

Publication Top Notes:

Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT

 

Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy

 

Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities

Development of state-of-the-art correlative rapid methods for the non-destructive control of fruit products

 

 

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

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Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award 

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun Yılmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education 🎓

  • Bachelor of Science in Mechanical Engineering (English)
    University of Gaziantep, 2009
  • Master of Science in Mechanical Engineering (English)
    University of Gaziantep, 2011
  • Ph.D. in Mechanical Engineering (English)
    University of Gaziantep, 2016
    (Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Work Experience 💼

  • Research Assistant
    Department of Mechanical Engineering, University of Gaziantep, 2010-2016
  • Assistant Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2017-2020
  • Associate Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2020–present

Achievements 🏆

  • Supervised several Ph.D. and M.Sc. theses, including:
    • Ömer Faruk Güler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
    • Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
    • Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
    • Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)
  • Involved in multiple TÜBİTAK projects (Turkey’s scientific and technological research body), including:
    • Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
    • Concentrated Solar Collector for Afyon Province solar data (2022-2023)
    • Vanadium Redox Flow Battery Performance Evaluation (2023-2025)

Awards & Honors 🏅

  • Received TÜBİTAK project scholarships and executed high-impact research projects related to geothermal energy, hydrogen production, and renewable energy optimization.

Publication Top Notes:

Drought-induced oxidative damage and antioxidant responses in peanut (Arachis hypogaea L.) seedlings

CITED:162

Thermodynamic evaluation of geothermal energy powered hydrogen production by PEM water electrolysisEconomics of hydrogen production and liquefaction by geothermal energy

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

CITED:124
CITED:111

Mr. Foad Zahedi | Digital Twin Awards | Best Researcher Award

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Mr. Foad Zahedi | Digital Twin Awards | Best Researcher Award 

Mr. Foad Zahedi, Washington State University, Iran

Foad Zahedi is a seasoned Procurement Director with over 18 years of comprehensive experience in procurement management, technical management, and contract management across a diverse range of projects, including multipurpose complexes, dams, roads, tunnels, and industrial structures. Based in Tehran, Iran, he has successfully led procurement and purchase engineering efforts to ensure optimal logistics, quality, and cost-effectiveness. Foad’s expertise encompasses tender management, contract oversight, and project management, where he skillfully navigates the complexities of EPC, PC, and E projects from both the employer and contractor perspectives. He holds a Master’s degree in Civil Engineering (Construction Management) and another Master’s in Civil Engineering (Marine Structures Engineering) from Islamic Azad University, along with a Bachelor’s degree in Civil Engineering. A certified Project Management Professional (PMP) and a Professional Engineer, Foad is proficient in areas such as cost estimation, value engineering, and building information modeling. His strategic insights and consultancy roles for boards and CEOs have been pivotal in aligning project goals with organizational objectives.

Professional Profile:

GOOGLE SCHOLAR

Research for Best Researcher Award – Foad Zahedi

Profile Overview: Foad Zahedi has over 18 years of extensive experience in procurement and project management across a variety of large-scale civil engineering projects, including multipurpose complexes, dams, and tunnels. His diverse skill set encompasses technical management, contract management, and procurement engineering, showcasing his ability to lead complex projects effectively.

Education 🎓

  • M.S. Civil Engineering (Construction Management)
    Islamic Azad University of Central Tehran Branch, Tehran, IR
    GPA: 3.53 | Year: 2020
  • M.S. Civil Engineering (Marine Structures Engineering)
    Islamic Azad University of Science and Research Branch, Tehran, IR
    GPA: 3.72 | Year: 2016
  • B.S. Civil Engineering
    Islamic Azad University of Shahr-e-kord Branch, Shahrekord, IR
    Year: 2004

Work Experience 💼

  • Procurement Director
    Iran Mall, Tehran, Iran
    Years: 20XX – Present

    • Led procurement and purchase engineering management for various complex projects, ensuring high quality and timely logistics support.
    • Managed the technical office, handling invoices, quantity surveying, and as-built drawings in EPC, PC, and E projects.
    • Conducted national and international tenders, preparing comprehensive technical and financial submissions.
    • Oversaw contract management in diverse roles (Employer, Contractor, Consultant) for EPC, PC, and E projects.
    • Provided consultancy to boards and CEOs, developing strategic plans to achieve project goals.

Achievements 🌟

  • Successfully managed procurement for multiple large-scale projects, including multipurpose complexes, dams, and industrial structures.
  • Developed effective strategies for cost estimation and value engineering, resulting in significant savings for projects.
  • Implemented advanced Building Information Modelling (BIM) and soil-structure interaction modelling techniques to enhance project outcomes.

Awards and Honors 🏆

  • Project Management Professional (PMP)
    Licensure #: 3203610 | Year: 2022
  • Professional Engineer (Grade 2: Supervision)
    Licensure #: 17-31-12174 | Year: 2014
  • Professional Engineer (Grade 1: Construction)

Publication Top Notes:

Global BIM Adoption Movements and Challenges: An Extensive Literature Review
Development of a BIM Implementation Roadmap: The Case of Iran
Robot-BIM integration for underground canals life-cycle management
Digital Twins in the Sustainable Construction Industry
BIM Implementation for PMBOK Enhancement in the Construction Industry

Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

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Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

Mr. Xi Zhou, Jiyang College, Zhejiang A&F University, China

Xi Zhou is an accomplished Associate Professor at Jiyang College of Zhejiang A&F University in Zhejiang, China, where he has been a faculty member since 2013. He earned his Ph.D. from Beijing University of Posts and Telecommunications in 2021, specializing in financial risk management. With a strong commitment to research and scholarship, Zhou has published over 60 articles and two books, contributing significantly to his field. His work has garnered recognition, earning him several prestigious awards, including the third prize for excellent achievements from the Chinese Society of Technology and Economics and the Shaoxing Philosophy and Social Sciences Outstanding Achievement Award. Additionally, he has received first and second prizes for excellent academic papers in natural sciences in Zhuji City. Zhou also serves as the director of the Zhejiang Society of Business Economics, further exemplifying his leadership and dedication to advancing knowledge in his discipline.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Xi Zhou

Xi Zhou is a distinguished Associate Professor at Jiyang College of Zhejiang A&F University, with a robust academic background and significant contributions to the field of financial risk management. His research is particularly relevant to the Best Researcher Award, as he has explored critical issues, such as the impact of natural resource depletion on energy security risks, as highlighted in the article “How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries,” co-authored with renowned researchers including Pang, L., Liu, L., and Ullah, S.

Education 🎓:

  • Ph.D. in Communications Engineering
    • Institution: Beijing University of Posts and Telecommunications, Beijing, China
    • Year: 2021

Work Experience 💼:

  • Associate Professor
    • Institution: Jiyang College of Zhejiang A&F University, Zhejiang, China
    • Duration: Since 2013

Research Interests 🔍:

  • Financial Risk Management

Achievements 📚:

  • Publications:
    • More than 60 articles
    • 2 books

Professional Leadership 👔:

  • Director of the Zhejiang Society of Business Economics

Awards and Honors 🏆:

  • Third Prize for Excellent Achievements
    • Awarded by the Chinese Society of Technology and Economics
  • Shaoxing Philosophy and Social Sciences Outstanding Achievement Award
  • First and Second Prizes for Excellent Academic Papers
    • Awarded in Natural Sciences in Zhuji City

Publication Top Notes:

How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries

Semantic Progressive Guidance Network for RGB-D Mirror Segmentation

Ripple-Spreading Network of China’s Systemic Financial Risk Contagion: New Evidence from the Regime-Switching Model

Credit Risk Evaluation of Forest Farmers under Internet Crowdfunding Mode: The Case of China’s Collective Forest Regions

Boundary-aware pyramid attention network for detecting salient objects in RGB-D images

Multi-layer fusion network for blind stereoscopic 3D visual quality prediction

 

Gabriel Danciu | Intelligent sensing | Excellence in Research

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Mr. Gabriel Danciu | Intelligent sensing | Excellence in Research

Lecturer at Transilvania University, Romania

Danciu Gabriel is a prominent researcher and educator from Romania, specializing in electrical engineering and computer science. Currently serving as a Şef lucrări at the University of Transilvania in Brașov, he combines his academic role with practical experience as an engineer and manager at Siemens. With a robust publication record exceeding 50 papers, Gabriel is recognized for his contributions to artificial intelligence, image processing, and software architecture. He is an active member of the IEEE and has presented at numerous international conferences. His commitment to education is reflected in his mentoring roles and project coordination, making him a vital part of the academic community. Gabriel’s expertise in developing algorithms for RGB-D cameras and his innovative research approaches have earned him respect in the field. He aims to bridge theoretical knowledge with practical applications, enhancing technological advancements and shaping the next generation of engineers.

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Extensive Experience: Gabriel has over 15 years of experience in academia and industry, demonstrating a strong commitment to both education and research.
  2. Publication Record: With over 50 published works, he shows a robust contribution to fields such as AI, image processing, and software architectures, indicating high productivity and impact in his research area.
  3. Diverse Skill Set: His competencies in various programming languages (C++, C#, Python) and expertise in software architecture showcase his technical proficiency, which is critical for modern research.
  4. Leadership Roles: As a Şef lucrări (Head of Department) and an engineer at Siemens, he has proven leadership capabilities, indicating his ability to manage projects and mentor others effectively.
  5. International Engagement: Participation in over 5 European projects and presentations at numerous conferences reflects his active engagement with the global research community.
  6. Research Innovation: His focus on cutting-edge topics like AI and image processing highlights his relevance and adaptability to current technological trends.

Areas for Improvement:

  1. Language Proficiency: While he is proficient in English, improving his German skills could enhance his collaboration opportunities in Europe, particularly in multilingual environments.
  2. Broader Collaboration: Expanding his research network beyond existing affiliations could lead to more interdisciplinary projects and greater innovation.
  3. Public Engagement: Increasing visibility through popular science publications or community outreach could enhance his impact beyond the academic sphere.
  4. Mentoring: Actively seeking to mentor younger researchers or students could foster new talent in the field and enhance his leadership profile.

Education:

Danciu Gabriel pursued his academic journey at the University of Transilvania in Brașov, where he obtained his Bachelor’s degree in Automatică și Informatică Industrială in 2004. He continued his studies at the same institution, completing a Master’s degree in Electrical Engineering and Telecommunications in 2006. Gabriel then earned his Ph.D. in 2014, focusing on developing algorithms for image processing using RGB-D cameras. His educational background laid a solid foundation for his future roles in academia and industry. As an Asistent universitar from 2007 to 2022, he dedicated himself to teaching and research, culminating in his current position as Șef lucrări, where he engages in educational leadership, research activities, and administrative duties. Gabriel’s academic achievements are complemented by ongoing professional development, ensuring that he stays at the forefront of technological advancements and educational methodologies in his field.

Experience:

Danciu Gabriel boasts extensive professional experience spanning over 15 years in both academia and industry. He began his career as a Software Engineer at Dynamic Ventures from 2005 to 2017, where he focused on research, mentorship, and software development. In 2018, he transitioned to Siemens as an Engineer, Researcher, and Manager, where he continues to work on innovative research projects while mentoring emerging talent. Concurrently, he has held various academic positions at the University of Transilvania, serving as an Asistent universitar for 15 years before advancing to Şef lucrări in 2022. His dual role allows him to integrate theoretical knowledge with practical applications, contributing to the growth of his students and the advancement of technology. Gabriel’s experience is characterized by a commitment to education, research innovation, and leadership, positioning him as a key figure in the fields of electrical engineering and computer science.

Research Focus:

Danciu Gabriel’s research primarily revolves around artificial intelligence, image processing, and software architecture, with a specific emphasis on RGB-D cameras. His work in developing innovative algorithms for depth image analysis has significantly contributed to advancements in computer vision and signal processing. Gabriel has published over 50 papers in renowned journals and conferences, exploring various topics, including noise pollution monitoring, functional verification in digital designs, and object tracking methods. He actively participates in European projects, collaborating with interdisciplinary teams to address real-world challenges through technology. Gabriel is passionate about integrating theoretical concepts with practical applications, aiming to improve the efficiency and accuracy of image processing techniques. His ongoing research endeavors focus on enhancing machine learning models and exploring new avenues in automated systems, positioning him at the cutting edge of technological innovation in the fields of engineering and computer science.

Publication Top Notes:

  • Shadow removal in depth images morphology-based for Kinect cameras 🌌
  • Objective erythema assessment of Psoriasis lesions for PASI evaluation 🌿
  • A novel approach for face expressions recognition 😊
  • Improved contours for ToF cameras based on vicinity logic operations 🖼️
  • Cost-efficient approaches for fulfillment of functional coverage during verification of digital designs 💻
  • Coverage fulfillment automation in hardware functional verification using genetic algorithms 🔍
  • Extended control-value emotional agent based on fuzzy logic approach 🤖
  • Scale and rotation-invariant feature extraction for color images of iris melanoma 🌈
  • Level up in verification: Learning from functional snapshots 📊
  • Noise pollution monitoring using mobile crowd sensing and SAP analytics 📱
  • Debugging FPGA projects using artificial intelligence 🧩
  • Debug FPGA projects using machine learning 📈
  • Efficient analysis of digital systems’ supplied data ⚙️
  • Method proposal for blob separation in segmented images 🔍
  • Solutions for Roaming and Interoperability Problems Between LTE and 2G or 3G Networks 📶
  • Methods of Object Tracking 🕵️‍♂️
  • Adaptive Scaling for Image Sensors in Embedded Security Applications 🔒
  • A method proposal of scene recognition for RGB-D cameras 🌍
  • Genetic algorithm for depth images in RGB-D cameras 🔧
  • Hierarchical contours based on depth images 🗺️

Conclusion:

Gabriel Danciu demonstrates a strong profile as a candidate for the Best Researcher Award, with a solid foundation in research, a wealth of experience, and a proven track record of publications and collaborations. By addressing the suggested areas for improvement, particularly in broader engagement and mentorship, he could further strengthen his candidacy and impact in the research community.

Mr Anandarup Roy | Internet of Things | Best Researcher Award

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Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

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
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