Design Excellence Award

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Design Excellence Award

Introduction: Welcome to the prestigious Design Excellence Award, celebrating innovation, creativity, and outstanding achievements in the field of design. This award recognizes individuals and teams who push boundaries, redefine norms, and inspire the future of design.

About the Award: The Design Excellence Award honors exceptional work across various design disciplines, including but not limited to graphic design, industrial design, fashion design, interior design, and architecture. It seeks to highlight projects that demonstrate innovation, originality, functionality, sustainability, and aesthetic appeal.

Eligibility:

  • Open to designers of all ages and nationalities.
  • No specific qualification requirements; both amateurs and professionals are encouraged to participate.
  • Submissions must showcase original work and must not have been previously published or recognized by other major awards.

Evaluation Criteria: Submissions will be evaluated based on:

  1. Creativity and originality
  2. Innovation and uniqueness
  3. Functionality and practicality
  4. Aesthetic appeal and craftsmanship
  5. Sustainability and environmental impact

Submission Guidelines:

  • Entries must be submitted online through the official award website.
  • Each submission should include a detailed description, high-resolution images, and any supporting documentation.
  • Deadline for submissions is [date].
  • There is no entry fee.

Recognition: Winners will receive a prestigious Design Excellence Award trophy, global recognition through various media channels, and opportunities for networking and collaboration within the design community.

Community Impact: The Design Excellence Award aims to foster a community of creative thinkers and change-makers, driving positive social, cultural, and economic impact through design innovation.

Biography: Include a brief biography highlighting your achievements, experiences, and contributions to the field of design.

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Assist.Prof.Dr. ANKIT SACHAN | Control system Award | Best Researcher Award

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Assist.Prof.Dr. ANKIT SACHAN | Control system Award | Best Researcher Award

Assist.Prof.Dr. ANKIT SACHAN, hiroshima university, Japan

Dr. Ankit Sachan is an Assistant Professor at the Graduate School of Advanced Science and Engineering, Hiroshima University, Japan, where he has been serving since April 2021. He holds a Ph.D. in Electrical Engineering from the Indian Institute of Technology (BHU) Varanasi, with a research focus on Control System Engineering. Dr. Sachan’s work spans various areas, including sliding mode control, networked control systems, sector design, and implicit-Euler discretization. He has published extensively in reputed international journals and conferences, showcasing his expertise in nonlinear system stabilization and model reduction techniques. With a rich academic background and significant contributions to his field, Dr. Sachan continues to advance research in control systems and contribute to national and international progress through his research-oriented endeavors.

Professional Profile:

Scopus

Orcid

Google Scholar

πŸŽ“ Education:

  • Ph.D. Electrical Engineering, Indian Institute of Technology (BHU) Varanasi, India
  • M.Tech, Control & Instrumentation, Motilal Nehru National Institute of Technology Allahabad, India
  • B.Tech, Electrical & Electronics Engineering, Inderprastha Engineering College, Ghaziabad, India

πŸ“š Research Interests:

  • Sliding mode control and observation
  • Networked control systems
  • Sector design
  • Implicit-Euler discretization
  • Model reduction of frequency domain interval systems

πŸ… Scholarships/Awards:

  • Senior Research Fellowship, Ministry of Human Resource and Development (M.H.R.D.), Government of India
  • GATE Fellowship, Ministry of Human Resource and Development (M.H.R.D.) and University Grants Commission (U.G.C.), Government of India
  • Qualified Graduate Aptitude Test in Electrical Engineering (GATE-2013

Publication Top Notes:

  1. A [K, KL] sector based control design for nonlinear system
    Published in ISA Transactions, 2019
    Cited by 11 articles.
  2. A [K, KL] Sector-Based Hands-Off Control With Quantization Parameter Mismatch
    Published in IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
    Cited by 3 articles.
  3. A conglomerating approach for model order reduction of continuous large scale systems
    Published in Int. J. Innov. Res. Sci. Eng. Technol, 2016
    Cited by 2 articles.
  4. A multiple Lyapunov functions approach for formation tracking control
    Published in IFAC-PapersOnLine, 2022
    Cited by 3 articles.
  5. A robust [K, KL] sector for nonlinear system
    Published in IEEE Transactions on Circuits and Systems II: Express Briefs, 2019

 

 

 

 

 

Prof. Guoping Tan | Sonogram AI Award | Best Researcher Award

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Prof. Guoping Tan | Sonogram AI Award | Best Researcher Award

Prof. Guoping Tan, Hohai University,Β  China

Tan Guoping is a seasoned Professor at Hohai University’s College of Computer and Information, with a rich academic background spanning from Saarland University in Germany to Southeast University in China. With a Ph.D. in Information Science, Tan’s expertise lies in various areas including mechanical manufacturing, automation, and electronic information. Throughout his career, he has held significant positions such as Senior Engineer at ZTE Corporation and later transitioned into academia, where he has been serving as a Professor since 2016. Tan’s research contributions are extensive, focusing notably on ultrasound image processing and deep learning applications in medical diagnosis. He has led and participated in multiple projects funded by the National Natural Science Foundation of China, showcasing his dedication to advancing scientific knowledge. Tan’s work has earned him recognition, including patents for innovative methods in wireless communication systems.

Professional Profile:

Scopus

πŸ“š Education:

  • Ph.D. in Information Science, Saarland University, Germany (2005-2009)
  • Master’s in Mechanical Manufacturing and Automation, Southeast University (1997-2000)
  • Bachelor’s in Mechanical Design and Manufacturing, China University of Geosciences (Wu Han) (1993-1997)

πŸ’Ό Work Experience:

  • Professor, Hohai University, College of Computer and Information (2016-present)
  • Associate Professor, Hohai University, College of Computer and Information (2009-2016)
  • Senior Engineer, CDMA Division, ZTE Corporation (Shenzhen) (2000-2003)

πŸ”¬ Research and Academic Contributions:

  • Hosted and participated in projects funded by the National Natural Science Foundation of China.
  • Representative treatises include articles on ultrasound-guided interventions and deep-learning-aided ultrasound diagnosis.

πŸ† Awards and Patents:

  • Holds multiple patents in the field of wireless communications and networks.
  • Recognized for contributions to reducing interference in wireless systems

Publication Top Notes:

  1. Age of Information in V2V-Enabled Platooning Systems
    • Author: Zhou, S., Li, S., Tan, G.
    • Published Year: 2024
    • Journal: IEEE Internet of Things Journal
  2. A Multi-Layer Model Based on Transformer and Deep Learning for Traffic Flow Prediction
    • Author: Hu, H.-X., Hu, Q., Tan, G., Zhang, Y., Lin, Z.-Z.
    • Published Year: 2024
    • Journal: IEEE Transactions on Intelligent Transportation Systems
  3. Robust tip localization under continuous spatial and temporal constraints during 2D ultrasound-guided needle puncture
    • Author: Wang, R., Tan, G., Liu, X.
    • Published Year: 2023
    • Journal: International Journal of Computer Assisted Radiology and Surgery
  4. Performance Analysis of a Reconfigurable-Intelligent-Surfaces-Assisted V2V Communication System
    • Author: Li, K., Zhou, S., Tan, G.
    • Published Year: 2023
    • Journal: Electronics (Switzerland)
  5. On the Deployment of Clustered Power Beacons in Random Wireless Powered Communication
    • Author: Zhou, S., Dai, H., Sun, H., Tan, G., Ye, B.
    • Published Year: 2023
    • Journal: IEEE Transactions on Vehicular Technology
    • Cited By: 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Dr. Francisco Sanchez-Ruiz | Chemical Enginneering Award | Best Researcher Award

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Dr. Francisco Sanchez-Ruiz | Chemical EnginneeringΒ  Award| Best Researcher Award

Dr. Francisco Sanchez-Ruiz, UPAEP, Mexico

Francisco Javier SΓ‘nchez Ruiz is an accomplished academic and researcher with a diverse background in chemical engineering and human development. Holding degrees in Chemical Engineering and Human Development, including a Ph.D. in Chemical Engineering from Universidad Michoacana de San NicolΓ‘s de Hidalgo, he has demonstrated excellence in both academia and industry. Francisco’s professional journey encompasses roles as a professor, researcher, and reviewer across various prestigious institutions and organizations, including Instituto Michoacano de Ciencias de la EducaciΓ³n, TecnolΓ³gico Nacional de MΓ©xico, and PepsiCo Mexico. His expertise extends to areas such as mathematical modeling of bioelectrochemical reactors and the implementation of innovative educational approaches. With a commitment to excellence in education and research, Francisco continues to make significant contributions to the field of chemical engineering and beyond.

Professional Profile:

Scopus

Orcid

Google Scholar

πŸŽ“ Education:

  • Ingeniero QuΓ­mico: Universidad Michoacana de San NicolΓ‘s de Hidalgo
  • Maestro en Ciencias en IngenierΓ­a QuΓ­mica: Universidad Michoacana de San NicolΓ‘s de Hidalgo
  • Doctor en Ciencias en IngenierΓ­a QuΓ­mica: Universidad Michoacana de San NicolΓ‘s de Hidalgo
  • Maestro en Desarrollo Humano: Universidad del Valle de Atemajac

🌟 Achievements:

  • SNI Level 1 (2023)
  • Recognized Professor Inspiring Excellence

πŸ“š Academic Journey:

  • Revisor of Scientific Articles at the Mexican Academy of Research and Teaching in Chemical Engineering.
  • Member of the Mexican Society of Electrochemistry and the Mexican Society of Artificial Intelligence.
  • Reviewer of Research Projects and Postdoctoral Stays at CONACYT.

πŸ’Ό Professional Experience:

  • Professor of Chemistry at the Michoacan Institute of Science Education “Jose Maria Morelos.”
  • Lecturer at the Monterrey Institute of Technology and Higher Studies.
  • Postdoctoral Researcher at the National Technological Institute of Mexico and UCLA.
  • Assistant Manager at PepsiCo Mexico.
  • Research Professor at the Popular Autonomous University of the State of Puebla.

πŸ‘¨β€πŸ”¬ Research Focus:

  • Expertise in Bioelectrochemical Reactors and Mathematical Modeling.
  • Two patents in the last two years.
  • Ongoing research in the field of Chemical Engineering.

πŸ† Recognition and Memberships:

  • Recognized as an Outstanding Professor for exceptional performance.
  • Member of various prestigious academic societies, including the Mexican Academy of Research and Teaching in Chemical Engineering.

Publication Top Notes:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Assoc. Prof. Dr. Chunxu Li | Human-robot interaction Award | Young Scientist Award

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Assoc. Prof. Dr. Chunxu Li | Human-robot interaction Award | Young Scientist Award

Assoc. Prof. Dr. Chunxu Li, Swansea University, United Kingdom

Dr. Chunxu Li is a Senior Lecturer in Mechanical Engineering at Swansea University, with a robust academic background and extensive teaching experience both in Chinese and British universities. With a Ph.D. in Electronic and Electrical Engineering from Swansea University and a postgraduate degree from the same institution, Dr. Li has showcased his expertise by leading modules such as CAD/CAM, Computer Vision, and Artificial Intelligence. His research interests span across Human-robot Interaction, Cybernetics, Machine Learning, Computer Vision, and Smart Materials for Soft Robots. With over 40 academic papers published and numerous accolades, including Best Student Paper Awards, Dr. Li is a recognized authority in his field. He actively supervises PhD and research master students, focusing on intuitive human-robot interaction systems and deep reinforcement learning applications. Dr. Li is also an Associate Fellow of the Higher Education Academy and a member of IEEE, demonstrating his commitment to academic excellence and innovation.

Professional Profile:

Scopus

Orcid

Google Scholar

πŸŽ“ Education:

  • PhD in Electronic and Electrical Engineering, Swansea University, 2016-2019
  • MSc in School of Engineering, Swansea University, 2014-2016
  • Bachelor’s degree in School of Engineering, Qingdao University of Science and Technology, 2010-2014

πŸ” Research Topic:

Dr. Chunxu Li completed his PhD at Swansea University, focusing on areas such as human-robot interaction, cybernetics, machine learning, computer vision, and smart materials for soft robots. He has over 10 years of programming experience in languages such as Cpp, MATLAB, Python, Java, and ROS. His research has been recognized with awards and nominations, including the Best Student Paper Award at IEEE international conferences.

πŸ‘¨β€πŸ« Teaching & Supervision:

Dr. Li has extensive teaching experience in both Chinese and British universities, covering modules such as CAD/CAM, computer vision, artificial vision systems, deep learning, and software engineering. He supervises PhD and research master students, focusing on topics related to AI and robotics.

Publication Top Notes:

  1. A Fault-Tolerant Method for Motion Planning of Industrial Redundant Manipulator
    • Authors: Z Li, C Li, S Li, X Cao
    • Published in: IEEE Transactions on Industrial Informatics
    • Year: 2019
    • Cited by: 97
  2. Novel joint-drift-free scheme at acceleration level for robotic redundancy resolution with tracking error theoretically eliminated
    • Authors: L Jin, Z Xie, M Liu, K Chen, C Li, C Yang
    • Published in: IEEE/ASME Transactions on Mechatronics
    • Year: 2020
    • Cited by: 53
  3. An augmented reality based human-robot interaction interface using Kalman filter sensor fusion
    • Authors: C Li, A Fahmy, J Sienz
    • Published in: Sensors
    • Year: 2019
    • Cited by: 39
  4. Motion planning of redundant manipulator with variable joint velocity limit based on beetle antennae search algorithm
    • Authors: Y Cheng, C Li, S Li, Z Li
    • Published in: IEEE Access
    • Year: 2020
    • Cited by: 33
  5. Teleoperation control of Baxter robot using Kalman filter-based sensor fusion
    • Authors: C Li, C Yang, J Wan, ASK Annamalai, A Cangelosi
    • Published in: Systems Science & Control Engineering
    • Year: 2017
    • Cited by: 33

 

 

 

 

 

 

 

 

 

 

Mr. Xuanming Zhang | Human-robot Coexisting Award | Excellence in Research

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Mr. Xuanming Zhang | Human-robot Coexisting Award | Excellence in Research

Mr. Xuanming Zhang, Hohai University, China

Mr. Xuanming Zhang is currently pursuing a Master’s degree in Mechanical Engineering at Hohai University, specializing in human-robot skill transfer and collaborative robot compliance control. He obtained his Bachelor’s degree in Material Forming and Control Engineering from Changzhou University. Throughout his academic journey, Xuanming has received numerous accolades, including awards for innovation, academic excellence, and volunteer service. His research projects focus on developing surgical robot arm systems, underwater defect detection robots, and large-scale tunneling machine tool-changing robots. Xuanming has also gained practical experience through internships at China Mobile and production companies. He has contributed to academic publications, notably in the area of innovative multi-dimensional learning algorithms for human-robot cooperation.

Professional Profile:

ScopusΒ 

Orcid

🏫 Education:

  • Bachelor’s degree in Material Forming and Control Engineering from Changzhou University (2018-2022).
  • Currently pursuing a Master’s degree in Mechanical Engineering at Hohai University.

πŸ† Honors:

  • Third prize in the 8th National College Students Metallurgical Skills Competition (2019).
  • Excellent Award for Jiangsu Province College Students Innovation and Entrepreneurship (2019).
  • National Inspirational Scholarship and Third-Class Scholarship from the Academy (2021).
  • Excellent Undergraduate Thesis at the school level (2022).
  • Second prize of academic scholarship (Master’s) in 2022 and 2023.

🌐 Projects:

  • Contributed to the development of a surgical robot arm system for on-stage surgery (2022/9-2023/9).
  • Currently involved in the development of an Underwater Intelligent Defect Detection Robot System for Dam Bodies (2022/12-present).
  • Actively participating in the research of a Large Scale Shield Tunneling Machine Tool Changing Robot (2023/3-present).

πŸ“š Academic Contributions:

  • Co-authored a paper titled “Innovative Multi-Dimensional Learning Algorithm and Experiment Design for Human-robot Cooperation,” published in Applied Mathematical Modelling (2024).
  • Contributed to the invention of a complex multi-dimensional mechanical loading device (Patent: CN201910688059.7).

Publication Top Notes:

1. Innovative Multi-Dimensional Learning Algorithm and Experiment Design for Human-robot Cooperation

  • Journal: Applied Mathematical Modelling
  • Published Year: 2024-03
  • Contributors: Xuanming Zhang; Ye Wang; Chunxu Li; Ashraf Fahmy; Johann Sienz

 

 

 

 

 

 

Mr. Quoc Bao Phan | Cyber Security Award | Young Scientist Award

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Mr. Quoc Bao Phan | Cyber Security Award | Young Scientist Award

Mr. Quoc Bao Phan, Northern Arizona University, United States

John Doe is currently pursuing a Ph.D. in Informatics and Computing at Northern Arizona University, focusing on post-quantum cryptography, homomorphic encryption, and artificial intelligence to propel advancements in these domains. As a Graduate Research Assistant at NAU, John conducts in-depth research on post-quantum computing, cybersecurity, and AI, alongside simulations to address research challenges. With previous experience as a Teaching Assistant at Vietnam Electricity and an Intern at Toshiba Transmission & Distribution Systems, John has honed skills in teaching and practical application. Their academic journey includes a Bachelor’s degree from Hanoi University of Science and Technology, with notable achievements such as receiving the NSF-CISE MWSCAS Participation Award and IEEE CASS Student Travel Grant. John’s commitment to academic excellence and research prowess is evident through various certificates and awards, including recognition for outstanding contributions to conferences and research competitions.

Professional Profile:

Orcid

πŸ“š Education:

  • Pursuing a Ph.D. in Informatics, Computing, and Cyber Security at Northern Arizona University (Current GPA: 4.0/4.0).
  • Bachelor’s Degree in Informatics and Computing from Hanoi University of Science and Technology (GPA: 3.03/4.0).

πŸŽ“ Position:

Graduate Research Assistant at Northern Arizona University (NAU) since January 2023. Responsibilities include researching articles related to post-quantum computing, cybersecurity, and artificial intelligence, as well as conducting simulations to investigate research problems.

🏫 Previous Work Experience:

  • Teaching Assistant at Vietnam Electricity (EVN) from March 2022 to April 2022, where duties involved assisting with an artificial neural networks expert class and performing simulations of data processing programs for solar and wind forecasts based on AI.
  • Internship at Toshiba Transmission & Distribution Systems (Vietnam) from August 2021 to October 2021, focusing on equipment inspection and acceptance of imported equipment.

πŸ† Awards and Certificates:

  • Received the NSF-CISE MWSCAS Participation Award at MWSCAS-2023 in Phoenix, USA.
  • Granted the IEEE CASS Student Travel Grant at IEEE CASS-2023 in the USA.
  • Holds certificates of participation and attendance from conferences such as CEES-2022 in Tokyo, Japan, and ICFNDS-2021 in Dubai, UAE.
  • Recognized with the 1st prize in student research at Hanoi University of Science & Technology in 2022 and the 3rd prize in student scientific research in Vietnam in 2022.

Publication Top Notes:

  1. Enhancing Wind Speed Forecasting Accuracy using a GWO-nested CEEMDAN-CNN-BiLSTM Model
    • Published in ICT Express, November 2023.
  2. Multi-step Ahead Wind Speed Forecasting Based on a Bi-LSTM Network Combined with Decomposition Technique
    • Published in Computational Intelligence Methods for Green Technology and Sustainable Development, 2023.
  3. Hourly Day Ahead Wind Speed Forecasting based on a Hybrid Model of EEMD, CNN-Bi-LSTM Embedded with GA Optimization
    • Published in Energy Reports, November 2022.
  4. Multiple Step Ahead Forecasting of Rooftop Solar Power Based on a Novel Hybrid Model of CEEMDAN – Bidirectional LSTM Network with Structure Optimized by PSO Method
    • Published in the 2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS), November 2022
  5. Forecasting Wind Speed Using A Hybrid Model Of Convolutional Neural Network And Long-Short Term Memory With Boruta Algorithm-Based Feature Selection
    • Published in the Journal of Applied Science and Engineering, October 2022.

 

 

 

 

 

Assoc.Prof.Dr. İsmail KOÇAK | Earth Science Award | Best Researcher Award

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Assoc.Prof.Dr. İsmail KOÇAK | Earth Science Award | Best Researcher Award

Assoc.Prof.Dr. İsmail KOÇAK, Bandırma Onyedi Eylül University, Turkey

Dr. Δ°smail KoΓ§ak is an esteemed Geochemist and Environmental Geochemist with a focus on mineral deposits and geochronology. He holds a Bachelor’s, Master’s, and Ph.D. in Geology Engineering from Ankara University, Turkey. Throughout his academic and professional career, Dr. KoΓ§ak has conducted extensive research, resulting in numerous peer-reviewed publications and presentations in international conferences. He has served in various academic and administrative roles, including Vice President at Bozok University and Director at BandΔ±rma Onyedi EylΓΌl University. Dr. KoΓ§ak’s expertise extends to artificial intelligence and data-driven design, enhancing his multidisciplinary approach to geological sciences. He is an active member of the TMMOB Chamber of Geological Engineers, contributing significantly to the field through his research, teaching, and professional activities.

Professional Profile:
Scopus

πŸ“šΒ Education:

  • Bachelor’s Degree (2000-2004): Ankara University, Geology Engineering, Ankara, Turkey.
  • Master’s Degree (2005-2009): Ankara University Graduate School of Natural and Applied Sciences, Geology Engineering, Ankara, Turkey. Thesis: Mineralogical and geochemical investigations of borate deposits around BigadiΓ§ (Balikesir)
  • Philosophy of Doctorate (2009-2014): Ankara University Graduate School of Natural and Applied Sciences, Geology Engineering, Ankara, Turkey. Thesis: Geochemical investigation of Western Anatolian borate deposits.

πŸ’ΌProfessional Employment:

  • Assoc. Prof. (2021-Present): BandΔ±rma OnyediEylΓΌl University, Faculty of Engineering and Natural Sciences, Department of Engineering Science.
  • Asst. Prof. (2019-2021): BandΔ±rma OnyediEylΓΌl University, Faculty of Engineering and Natural Sciences, Department of Engineering Science.
  • Asst. Prof. (2014-2019): Bozok University, Faculty of Engineering and Architecture, Department of Geological Engineering.
  • Research Assistant (2009-2014): Bozok University, Faculty of Engineering and Architecture, Department of Geological Engineering.

πŸ”¬Academic and Professional Activities:

  1. Vice President (2015-2019): Bozok University, Faculty of Engineering-Architecture, Department of Geological Engineering.
  2. Director (21.06.2020-29.06.2022): BandΔ±rma OnyediEylΓΌl University, Science and Technology Application and Research Center.
  3. Vice Director (27.09.2019-Continued): BandΔ±rma OnyediEylΓΌl University, Boron Technologies Application and Research Center.
  4. Director (09.12.2020-Continued): BandΔ±rma OnyediEylΓΌl University, GΓΆnen Geothermal Institute.
  5. (Date not specified): BandΔ±rma OnyediEylΓΌl University, Scientific Research…

Publication Top Notes:

  1. Major and trace element geochemistry of the Bigadiç Borate deposit, Balikesir, Turkiye
    • Published: 2012
    • Journal: Geochemistry International
    • Cited by: 17
  2. Geochemical characteristics of KΔ±rka (SarΔ±kaya) borate deposit, northwestern Anatolia, Turkey
    • Published: 2016
    • Journal: Journal of Earth System Science
    • Cited by: 12
  3. Geochemical characteristics of The Emet (Espey-Hisarcik) borate deposits, KΓΌtahya, Turkey
    • Published: 2018
    • Journal: Journal of African Earth Sciences
    • Cited by: 11
  4. Geochemistry of Kestelek colemanite deposit, Bursa, Turkey
    • Published: 2017
    • Journal: Journal of Earth Science
    • Cited by: 11
  5. Species-level microfossil identification for globotruncana genus using hybrid deep learning algorithms from the scratch via a low-cost light microscope imaging
    • Published: 2023
    • Journal: Multimedia Tools and Applications
    • Cited by: 9

 

 

 

 

Mr. Catalin Rus | Cybersecurity Award | Best Researcher Award

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Mr. Catalin Rus | Cybersecurity Award | Best Researcher Award

Mr. Catalin Rus, Thales Nederland, Netherlands

Catalin Rus is a versatile and proactive cybersecurity specialist with a strong foundation in software development and computer science. With a Master’s and Bachelor’s degree from the University of Twente, he has honed his expertise in areas ranging from cryptography to modern technologies like cloud computing and blockchain. Catalin’s passion for cybersecurity is evident in his academic achievements, including a published thesis in Computers & Security journal. He has practical experience in IT leadership roles, having served as IT Director and Core shareholder at ClearSky, where he played a pivotal role in developing real-time data collection systems for drone missions. Currently, as a Junior Cybersecurity Architect at Thales Nederland, Catalin is focused on enhancing product security and architecture, contributing to the advancement of security measures in combat management systems. With a proactive approach and a diverse set of interests including gaming, swimming, and anthropology, Catalin is dedicated to making meaningful contributions to the field of cybersecurity.

Professional Profile:

Orcid

πŸ“š Education:

  • Master of Computer Science (2021 – present)
    • University of Twente
    • Studied software programming, design, networking, web services, OS, AI, serious gaming, and efficient algorithms.
    • Graduation paper focused on the mathematical modeling of treatment protocols for Obstructive Sleep Apnea.
  • Bachelor of Computer Science (2017 – 2020)
    • University of Twente
    • Explored software development, automating design, and researching with an average grade of 7.4.

πŸ” Experience:

  • IT Director & Core Shareholder (2021 – 2022)
    • ClearSky
    • Developed a real-time, cloud-based data collection system for drone missions.
    • Organized and managed IT endeavors of the startup, participated in meetings with partners and clients.
  • Security Specialist (Nov. 2022 – 2023)
    • El NiΓ±o
    • Improved security posture by developing and implementing comprehensive security policies and cost-free technological measures.
  • Junior Cybersecurity Architect (2023 – present)
    • Thales Nederland
    • Enhancing security in overall product design and Combat Management System architecture.

πŸ› οΈ Expertise:

  • Cybersecurity (Cryptography, IoT, Internet Security)
  • Software Development
  • IT Management
  • Cloud and Blockchain Technologies

Publication Top Notes:

  1. Title: NAISS: A Reverse Proxy Approach to Mitigate MageCart’s E-Skimmers in E-Commerce
    • Journal: Computers & Security
    • Year: 2024-03
    • Contributors: Adrian-CΔƒtΔƒlin Rus; Mohammed El-Hajj; Dipti Kapoor Sarmah
  2. Title: Modelling and evaluating Obstructive Sleep Apnea management protocols with UPPAAL
    • Year: 2020
    • Type: Supervised student publication
    • Contributors: Rus, Adrian-Catalin

 

 

 

 

 

 

 

Prof. Jacqueline Cole | Transformers for Scientific Application Award | Best Researcher Award

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Prof. Jacqueline Cole | Transformers for Scientific Application Award | Best Researcher Award

Prof. Jacqueline Cole, University of Cambridge, United Kingdom

Professor Jacqueline M. Cole is a distinguished academic and researcher based at the Cavendish Laboratory, University of Cambridge, UK. She holds a Ph.D. in Chemistry from the University of Durham and has made significant contributions to various fields, including molecular engineering and materials physics. Currently serving as the BASF/Royal Academy of Engineering Research Chair in Data-driven Molecular Engineering of Functional Materials, she has received numerous awards, such as the Royal Society Clifford Paterson Medal and Lecture in 2020 and the American Crystallographic Association Bertram Eugene Warren Diffraction Physics Award in 2021. Professor Cole’s extensive career includes leadership roles, research fellowships, and advisory positions at both national and international levels. She has been recognized for her outstanding work in AI-driven materials science, exemplified by the Google Gift 2023 for “Automated data extraction for materials science.” With a broad range of expertise, Professor Cole continues to shape the landscape of materials research and contribute significantly to the scientific community.

Professional Profile:

Scopus

Google Scholar

πŸŽ“ Academic Preparation:

  • Chemistry PhD, Institut Laue Langevin, France & University of Durham, UK
  • Physics PhD, University of Cambridge, UK
  • Executive MBA (Distinction), London Business School, UK

πŸ† Prizes and Awards:

  • Google Gift 2023 for “Automated data extraction for materials science”
  • London Business School Social Good Award 2023
  • London Business School Diversity in Leadership Award 2021
  • American Crystallographic Association Bertram Eugene Warren Diffraction Physics Award 2021

🌐 Current Job Duties:

  • Leading scientific advisory boards and grant panels
  • Liaising with industrial and academic partners for collaborations
  • Developing software tools and data science platforms
  • Mentoring and coaching staff and students

🌍 External Advisory Roles:

  • Chair of STFC Science Board, Facilities and Laboratories
  • Member of various advisory panels and committees worldwide
  • International reviewer for funding agencies and research institutes

πŸ”¬ Extended Research Visits / Guest Appointments:

  • Collaborations with institutions across Europe, North America, Asia, and Australia

Overall, Professor Cole’s expertise lies in the intersection of data science and molecular engineering, with a focus on advancing materials for energy, magnetism, and catalysis applications. Her leadership and contributions have made a significant impact on the field of materials science.

Publication Top Notes:

  1. Anchoring groups for dye-sensitized solar cells
    • Published Year: 2015
    • Journal: ACS applied materials & interfaces
    • Cited By: 774
  2. Superconductivity up to 29 K in SrFe2As2 and BaFe2As2 at high pressures
    • Published Year: 2008
    • Journal: Journal of Physics: Condensed Matter
    • Cited By: 675
  3. Black silicon: fabrication methods, properties and solar energy applications
    • Published Year: 2014
    • Journal: Energy & Environmental Science
    • Cited By: 559
  4. ChemDataExtractor: a toolkit for automated extraction of chemical information from the scientific literature
    • Published Year: 2016
    • Journal: Journal of chemical information and modeling
    • Cited By: 405
  5. The structure of graphite oxide: investigation of its surface chemical groups
    • Published Year: 2010
    • Journal: The Journal of Physical Chemistry B
    • Cited By: 383