Seyed Ahmad Kebriyaee – Environmental Engineering – Best Researcher Award

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Seyed Ahmad Kebriyaee - Environmental Engineering - Best Researcher Award

Department of Mechanical Engineering, Faculty of Engineering - Iran

AUTHOR PROFILE

GOOGLE SCHOLAR

ACADEMIC AND TEACHING EXPERIENCE

Dr. Seyed Ahmad Kebriyaee has a rich academic and professional background. He served as a Teacher Assistant at Azad University of Mashhad from 2007 to 2015, specializing in Fluid Dynamics, Thermodynamics, and Fire Dynamic Simulation. His teaching experience reflects a deep commitment to advancing knowledge in critical areas of engineering and fire safety.

PROFESSIONAL EXPERIENCE IN FIRE SAFETY

Dr. Kebriyaee’s extensive professional experience includes working as a Research and Development Specialist at the Fire Department of Mashhad Municipal Administration. His role involved being a member of various committees, including those focused on technical machinery, energy consumption optimization, and maintenance systems. His expertise in these areas has significantly contributed to the enhancement of fire safety practices and systems.

RESEARCH PROJECTS AND PROPOSALS

Dr. Kebriyaee has spearheaded numerous research proposals aimed at improving fire safety and efficiency. His projects include energy audits of fire stations, feasibility studies for solar panel use, and the design and implementation of fire apparatus. He has also worked on innovative solutions such as smoke generators and training systems for firefighters, showcasing his dedication to advancing fire safety technology.

PUBLICATIONS AND CONFERENCES

Dr. Kebriyaee has published several influential papers in renowned journals and conferences. Notable works include studies on solar chimneys and biodiesel emissions, presented at prestigious conferences such as the 17th International Conference on Mechanical, Aeronautical and Manufacturing Engineering and the 8th Safe Community Asian Conference. His publications reflect his active engagement in advancing fire safety and energy optimization.

HONORS AND RECOGNITION

Throughout his career, Dr. Kebriyaee has received several honors, including being elected as a premier specialist by the Municipal Administration of Mashhad in 2013. His achievements in math competitions and academic exams further highlight his exceptional skills and dedication to his field.

SKILLS AND EXPERTISE

Dr. Kebriyaee possesses a diverse set of technical skills, including proficiency in software like Word, Visio, and FLUENT, and expertise in maintenance planning and energy optimization. His capabilities extend to various programming and modeling tools, underscoring his comprehensive knowledge in engineering and fire safety.

FIELDS OF INTEREST AND PERSONAL TENDENCIES

Dr. Kebriyaee’s research interests span combustion modeling, fire simulation, smoke control, and sustainable energy. He is passionate about team work, leadership, and staying at the forefront of the latest technological advancements. His personal interests in chess, Kung Fu, and basketball reflect his well-rounded personality and dedication to continuous learning and improvement.

NOTABLE PUBLICATION

Yuxuan Zhao – Deep Learning – Best Researcher Award

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Yuxuan Zhao - Deep Learning - Best Researcher Award

Xi’an Jiaotong-Liverpool University - China

AUTHOR PROFILE

SCOPUS

ACADEMIC BACKGROUND

Dr. Yuxuan Zhao is an accomplished Assistant Professor at the School of AI and Advanced Computing (AIAC) at Xi’an Jiaotong-Liverpool University (XJTLU), Taicang Campus. He completed his PhD in Computer Science from the University of Liverpool in 2022 and holds an MSc in Computer Graphics, Vision and Imaging from University College London, earned in 2017. His academic journey reflects a robust foundation in advanced computing and artificial intelligence.

RESEARCH INTERESTS

Dr. Zhao’s research encompasses a broad spectrum of advanced technological fields. His primary interests include deep learning, image and video processing, computer vision, and the application of machine learning techniques. His work aims to push the boundaries of how these technologies can be utilized to solve complex real-world problems.

RESEARCH PROJECTS

Dr. Zhao is engaged in several cutting-edge research projects. His work on "Deep Learning in Video Anomaly Detection" and "Radar Signal Processing Based on Neural Network Sequence Mode" highlights his focus on innovative applications of machine learning. He is also involved in "Computer Vision-Based Traffic Accident Detection" and the governmental project "Intelligent Multimodal Data Analysis for Digital Twin Cities," reflecting his commitment to advancing technology in practical and impactful ways.

PROCEEDINGS AND PUBLICATIONS

Dr. Zhao has contributed to numerous high-profile conferences and journals. His recent papers include "Appearance-Motion United Memory Autoencoder for Video Anomaly Detection," presented at the 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, and "YOLOv5s-Transformer: Improved YOLOv5 Network for Real-Time Detection of Cigarette Smoking," showcased at the 2023 4th International Seminar on Artificial Intelligence, Networking, and Information Technology. His research demonstrates a deep engagement with current trends and challenges in computer vision and AI.

CONFERENCE PARTICIPATION

Dr. Zhao has actively participated in the academic community by presenting at leading conferences and contributing to the advancement of knowledge in his field. His presentations at various international seminars and conferences underscore his role in shaping the future of AI and computer vision.

INNOVATIVE RESEARCH CONTRIBUTIONS

Dr. Zhao’s innovative contributions include the development of intelligent algorithms for multi-mobile robot systems and autonomous alert generation for disaster management. His early work, such as the design of algorithms for Wi-Fi access point roaming, highlights his long-standing dedication to addressing diverse technological challenges.

GOVERNMENTAL RESEARCH PROJECTS

Currently, Dr. Zhao is involved in several governmental research initiatives, including the "Suzhou Multimodal Big Data Innovation Application Lab," which aims to enhance the application of big data and AI technologies. These projects reflect his ongoing commitment to leveraging advanced technologies for societal benefit.

NOTABLE PUBLICATION

A Novel Two-Stream Structure for Video Anomaly Detection in Smart City Management

Authors: Zhao, Y., Man, K.L., Smith, J., Guan, S.-U.
Year: 2022
Journal: Journal of Supercomputing
Pages: 3940–3954

Improved Two-Stream Model for Human Action Recognition

Authors: Zhao, Y., Man, K.L., Smith, J., Siddique, K., Guan, S.-U.
Year: 2020
Journal: Eurasip Journal on Image and Video Processing
Article: 24

Erratum: RingText: Dwell-free and Hands-free Text Entry for Mobile Head-Mounted Displays Using Head Motions

Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Journal: IEEE Transactions on Visualization and Computer Graphics
Volume: 25
DOI: 10.1109/TVCG.2019.2898736

DMove: Directional Motion-based Interaction for Augmented Reality Head-Mounted Displays

Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Conference: Conference on Human Factors in Computing Systems - Proceedings

RingText: Dwell-free and Hands-free Text Entry for Mobile Head-Mounted Displays Using Head Motions

Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Journal: IEEE Transactions on Visualization and Computer Graphics

Fangyu Wu – Artificial Intelligence – Best Researcher Award

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Fangyu Wu - Artificial Intelligence - Best Researcher Award

AUTHOR PROFILE

SCOPUS

ACADEMIC AND PROFESSIONAL BACKGROUND

Fangyu Wu is a distinguished researcher and academic in the field of computer science, specializing in deep learning, multi-modal learning, and intelligent data analysis. He is currently an Associate Professor at Xi’an Jiaotong-Liverpool University (XJTLU) in China, where he supervises PhD and Master's students focusing on innovative research topics such as multi-modal learning and deep learning for computer vision. His previous role included co-supervising PhD students at Zhejiang University, contributing to advancements in facial recognition and image-text retrieval.

HONORS AND AWARDS

Dr. Wu's achievements have been recognized through several prestigious awards. He was named a Suzhou Youth Innovation Leading Talent in 2023 and won first prize at the 7th China Innovation Challenge for his project on intelligent tracking systems using infrared thermal imaging. Additionally, he received the Lotfi Zadeh Best Paper Award at ICMLC&ICWAPR 2017 and has been honored with the Outstanding Graduates award from Xi’an Jiaotong-Liverpool University and National Encouragement Scholarships from China.

RESEARCH PROJECTS

Fangyu Wu leads several high-impact research projects. These include “Intelligent Multimodal Data Analysis for Digital Twin Cities” under the Gusu Innovation and Entrepreneurship Leading Talents Programme, and “Relational Modeling and Reasoning for Reliable Cross-Modal Retrieval” funded by the Zhejiang Natural Science Foundation. His projects also cover advanced topics such as distributed AI platforms for Metaverse scenarios and optimization software for injection molding processes.

PUBLICATIONS

Dr. Wu has an extensive list of publications in top-tier conferences and journals. Notable works include papers on fine-grained image-text matching, relation-aware prototype networks, and pose-robust face recognition. His research has been featured at prestigious conferences such as CVPR, ECCV, and ICPR, showcasing his contributions to advancements in deep learning and computer vision.

CONFERENCE ORGANIZATION

In addition to his research, Fangyu Wu plays a vital role in organizing academic conferences. He served as the Publication Chair for the IEEE 17th International Conference on Computer Science & Education (ICCSE 2022) and as General Co-Chair for the 5th International Symposium on Emerging Technologies for Education (SETE 2020). His involvement ensures the smooth execution of these events and contributes to the dissemination of cutting-edge research.

STUDENT SUPERVISION

Fangyu Wu is actively engaged in supervising students at both the PhD and Master’s levels. He currently supervises a PhD student at XJTLU focusing on multi-modal learning and has previously co-supervised a PhD student at Zhejiang University on deep learning for computer vision. His mentorship extends to six Master’s students at XJTLU and three at Zhejiang University, covering areas such as facial recognition and image-text retrieval.

COMPETITIONS AND RECOGNITION

Dr. Wu has achieved notable success in various competitions. His project on human motion recognition based on deep neural networks won third prize at the China First Smart Manufacturing and Big Data Innovation Competition. Additionally, his participation in competitions has been marked by significant awards, including the first prize in the China Innovation Challenge for his intelligent tracking system.

NOTABLE PUBLICATION

  • Fine-grained Image-text Matching by Cross-modal Hard Aligning Network
    • Authors: Pan, Z., Wu, F., Zhang, B.
    • Year: 2023
    • Conference: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
    • Pages: 19275–19284
  • Knowledge-embedded Prompt Learning for Zero-shot Social Media Text Classification
    • Authors: Li, J., Chen, Q., Wang, W., Wu, F.
    • Year: 2023
    • Conference: IEEE International Conference on Smart Computing (SMARTCOMP)
    • Pages: 222–224
  • Kernel Triplet Loss for Image-Text Retrieval
    • Authors: Pan, Z., Wu, F., Zhang, B.
    • Year: 2022
    • Conference: Computer Animation and Virtual Worlds
    • Article: e2093
  • FaceCaps for Facial Expression Recognition
    • Authors: Wu, F., Pang, C., Zhang, B.
    • Year: 2021
    • Conference: Computer Animation and Virtual Worlds
    • Article: e2021

Isra Al-Shbeil – Mathematics and application – Best Researcher Award

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Isra Al-Shbeil - Mathematics and application - Best Researcher Award

The university of Jordan - Jordan

AUTHOR PROFILE

SCOPUS
GOOGLE SCHOLAR

EDUCATIONAL BACKGROUND

Isra Al-Shbeil has an extensive educational background, highlighted by her Ph.D. in Mathematics from the University of Ottawa, Canada, where she received a Ph.D. grant and held Teaching and Research Assistant positions. She also holds an MSc in Economic Geology from Addis Ababa Science and Technology University, supported by an Academic Excellence Grant, and a BSc in Geology from the same institution, also under an Academic Excellence Grant.

RESEARCH EXPERTISE

Specializing in geometric function theory and elliptic zeta functions within Complex Analysis, Isra has made significant contributions through her research. Her notable publications include "Elliptic Zeta Functions and Equivariant Functions" in the Canadian Mathematical Bulletin and various papers on bi-univalent functions and q-symmetric starlike functions in respected mathematical journals.

TEACHING EXPERIENCE

Isra has excelled as an Assistant and Associate Professor of Mathematics at the University of Jordan. She is adept at delivering advanced math classes, using a student-focused approach to enhance comprehension. She mentors students, guides their academic and career development, and fosters a cooperative learning environment, emphasizing supportive mentoring and teamwork.

PROFESSIONAL EXPERIENCE

As a mathematics professor at the University of Jordan, Isra has served on various departmental committees, providing insights and expertise to improve departmental and institutional efforts. She is committed to upholding high standards in mathematical investigation and scholarship, ensuring the integrity of research projects and academic responsibilities.

PUBLICATIONS

Isra's scholarly work includes research on elliptic zeta functions and bi-univalent functions. She has co-authored publications in journals such as "Fractals and Fractional" and "Symmetry," showcasing innovative enhancement techniques in Complex Analysis. Her research has significantly advanced the understanding of geometric function theory.

SCHOLARSHIPS AND AWARDS

Isra's academic journey has been supported by numerous scholarships and grants. Notable among these are the Ph.D. Grant from the University of Ottawa, the Academic Excellence Grant from the Ministry of Higher Education and Scientific Research in Jordan, and the Academic Excellence Grant from the Deanship of Scientific Research at Al Al-bayt University, covering her bachelor's and master's studies.

RESEARCH PUBLICATIONS

Isra has published several influential research papers, including "Elliptic Zeta Functions" and "Second Hankel Determinant for the Subclass of Bi-Univalent Functions Using q-Chebyshev Polynomial and Hohlov Operator." Her works are widely recognized in the mathematical community, contributing to advancements in the field of Complex Analysis.

NOTABLE PUBLICATION

  • Elliptic Zeta Functions and Equivariant Functions
    • Authors: Al-shbeil, I., Sebbar, A.
    • Year: 2018
    • Journal: Canadian Mathematical Bulletin
  • Elliptic Zeta Functions
    • Author: Al-shbeil, I.
    • Year: 2020
    • Institution: Université d'Ottawa/University of Ottawa
  • Second Hankel Determinant for the Subclass of Bi-Univalent Functions Using q-Chebyshev Polynomial and Hohlov Operator
    • Authors: Al-Shbeil, I., Shaba, T.G., Catas, A.
    • Year: 2022
    • Journal: Fractals and Fractional
  • Properties of q-Symmetric Starlike Functions of Janowski Type
    • Authors: Saliu, A., Al-Shbeil, I., Gong, J., Malik, S.N., Aloraini, N.
    • Year: 2022
    • Journal: Symmetry
  • Radius and Differential Subordination Results for Starlikeness Associated with Limaçon Class
    • Authors: Afis Saliu, K. Jabeen, Al-shbeil, I., Oladejo, S.O.
    • Year: 2022
    • Journal: Journal of Function Spaces

Ngiamte George Lemewihbwen – Mineral Exploration Geoscience – Best Researcher Award

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Ngiamte George Lemewihbwen - Mineral Exploration Geoscience - Best Researcher Award

Pan African University Life and Earth Sciences Institute - Nigeria

AUTHOR PROFILE

ORCID

FIELD COURSES

Ngiamte George Lemewihbwen has actively participated in notable field courses, including the Society of Economic Geology (SEG) Ronald E. Seavoy Field Course in Las Vegas, Nevada, USA. Here, he explored Tertiary-age volcanic-hosted epithermal precious metal deposits of the Walker Lane Trend. His studies involved examining various mineralization styles and ore types, including low-sulfidation gold deposits at Paradise Peak and high-sulfidation precious metal deposits in the Goldfield District. Additionally, he assessed detachment faults and hypogene mineralization at renowned gold districts. In October 2023, he attended the 8th SGA-IUGS-SEG-UNESCO Short Course in Johannesburg, South Africa, focusing on the role of mineral wealth in Africa's energy transition.

TEACHING EXPERIENCE

Currently serving as a Graduate Teaching Assistant in Geology at the University of Bamenda, Cameroon, Ngiamte is responsible for delivering lectures, grading assignments, and conducting tutorials in petrography and optical mineralogy. His role involves mentoring undergraduate students, maintaining course materials, and enhancing his teaching skills through continuous training.

INDUSTRY EXPERIENCE

Ngiamte has contributed significantly to CAMALCO SA/Canyon Resources as an Exploration Geologist, where he has been involved in developing the Minim Martap bauxite resource. His responsibilities include fieldwork, sampling, drilling program execution, and technical report preparation. His expertise extends to using GIS software for spatial data interpretation and the Olympus VANTA portable XRF analyzer for sample analysis.

PUBLICATIONS

His research has been published in esteemed journals, including "Geology of Ore Deposits," "Acta Geochimica," and the "Journal of African Earth Sciences." Notable works include studies on oxygen isotope geochemistry in Southern Cameroon and bulk geochemistry of the Metzimevin high-grade iron ore deposit. These contributions highlight his expertise in exploring mineral deposits and analyzing geochemical data.

SOCIETIES

Ngiamte is an active member of several professional societies, including the Society of Economic Geologists (SEG), the Society for Geology Applied to Mineral Deposits (SGA), the Geoscience and Remote Sensing Society (GRSS), and the Cameroon Association of Geoscience (CAG). His involvement in these organizations underscores his commitment to advancing the field of geoscience.

ACTIVITIES

In addition to his professional work, Ngiamte serves as the IEEEXtreme 16.0 Section/Subsection Lead for Cameroon, where he engages in micro-volunteering challenges and organizes training programs. He is also the IEEE GRSS Local Chapter Coordinator for Cameroon, responsible for coordinating activities, promoting membership, and contributing to local chapter communications.

SKILLS AND INTERESTS

Ngiamte possesses a strong command of geoscience software, including ArcGIS, AutoCAD, CorelDRAW, and Python. His proficiency in these tools complements his technical abilities and supports his diverse interests in fieldwork, research, and community engagement.

NOTABLE PUBLICATION

Ajebush Wuletaw Beze – specialized in Economic Geology – Best Researcher Award

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Ajebush Wuletaw Beze - specialized in Economic Geology - Best Researcher Award

AUTHOR PROFILE

ORCID

EDUCATIONAL BACKGROUND

AJEBUSH WULETAW BEZE is a highly motivated individual with a solid academic foundation in geosciences. He completed his MSc in Economic Geology at Addis Ababa Science and Technology University, focusing on the geological and physicochemical characterization of silica sand occurrences in Northern Shewa, Central Ethiopia. Prior to this, he earned his BSc in Geology from the same institution, laying a strong groundwork for his expertise in the field.

EXPERTISE IN GEOSCIENCES

With extensive knowledge in basic geosciences, Ajebush Wuletaw Beze excels in field geology, mapping, petrology, and geochemistry. His skills include mineral exploration, evaluation, and resource estimation, making him proficient in various aspects of economic geology.

PROFICIENCY IN GEOSOFTWARE

Ajebush possesses expert-level skills in a range of geosoftware, including Global Mapper, Surfer, ArcGIS, GCDkit, Strater, Corel Draw, J Micro Vision, and Sedlog. His ability to utilize these tools effectively enhances his capacity to analyze and interpret geological data.

EXPERIENCE IN GEOLOGICAL LABORATORIES

Ajebush has substantial experience with geological laboratory techniques, including mineralogical, petrological, and geochemical analyses. His expertise in these areas supports his thorough understanding of geological materials and processes.

PROFESSIONAL ATTITUDE AND MOTIVATION

Known for his determination and potential, Ajebush is confident that his well-rounded skills and sociable nature make him a valuable asset to any organization. His commitment to contributing toward organizational goals reflects his dedication to his professional growth and success.

NOTABLE PUBLICATION

  • Lithostratigraphy and Petrography of Mesozoic Sedimentary Rocks of Lemi Area, North Shewa, Central Ethiopia
    • Authors: Not specified
    • Year: 2024
    • Journal: Earth Sciences
  • Physicochemical and mineralogical characterization of silica sand from the Lemi region, Blue Nile Basin, central Ethiopia: Evaluating industrial applications and resource potential
    • Authors: Not specified
    • Year: 2024
    • Journal: Heliyon

Seung youn Bang – Safety Engineering – Best Researcher Award

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Seung youn Bang - Safety Engineering - Best Researcher Award

Korea Industrial Safety Association - South Korea

AUTHOR PROFILE

SCOPUS

RESEARCH ANALYST AT KOREA INDUSTRIAL SAFETY ASSOCIATION

SEUNG YOUN BANG is a distinguished research analyst at the Korea Industrial Safety Association, specializing in the field of industrial safety. His expertise lies in evaluating and mitigating electrical hazards to ensure safer work environments. His work focuses on the analysis and improvement of safety protocols within industrial settings.

STUDY ON TOUCH VOLTAGE AND ELECTRIC SHOCK RISK

Seung Youn Bang has conducted a comprehensive study on touch voltage and electric shock risks in sewage treatment plants. This research examines the safety implications of electrical installations and aims to identify potential hazards associated with electrical equipment. His findings contribute to enhancing safety measures and reducing risks in these critical facilities.

EQUIPOTENTIAL BONDING INSTALLATION ANALYSIS

In his research, Seung Youn Bang has analyzed the impact of equipotential bonding installation on safety in sewage treatment plants. By assessing the risks before and after the implementation of these bonding systems, he provides valuable insights into their effectiveness in mitigating electrical hazards and improving overall safety.

IMPACT ASSESSMENT OF SAFETY MEASURES

Bang's work involves a detailed impact assessment of safety measures, particularly focusing on the installation of equipotential bonding systems. His research evaluates how these safety interventions affect the risk of electric shock and touch voltage, contributing to better safety standards and practices in industrial environments.

EXPERT IN ELECTRICAL SAFETY

With a strong background in electrical safety, Seung Youn Bang is recognized for his expertise in analyzing and addressing electrical hazards. His research plays a crucial role in advancing safety protocols and ensuring that industrial facilities adhere to the highest standards of electrical safety.

CONTRIBUTIONS TO INDUSTRIAL SAFETY RESEARCH

Seung Youn Bang's research contributions have significantly impacted the field of industrial safety. His studies provide critical data and recommendations that help shape safety regulations and practices, improving safety outcomes in industrial and sewage treatment facilities.

COLLABORATION AND KNOWLEDGE SHARING

Bang actively collaborates with industry professionals and researchers to share knowledge and advance safety practices. His engagement in the field of electrical safety and his commitment to improving safety standards reflect his dedication to enhancing industrial safety on a broader scale.

NOTABLE PUBLICATION

Analysis of touch voltage and electric shock risk before and after installation of equipotential bonding in the sewage treatment plants

  • Authors: Bang, S.Y., Kim, D.H., Kim, S.C.
  • Year: 2024
  • Journal: Journal of Loss Prevention in the Process Industries, 91, 105371

Miray Altinkaynak – Biomedical Engineering – Best Researcher Award

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Miray Altinkaynak - Biomedical Engineering - Best Researcher Award

Boston University - United States

AUTHOR PROFILE

SCOPUS

PROFESSIONAL APPOINTMENTS

MIRAY ALTINKAYNAK is a highly accomplished researcher in the field of biomedical engineering. Since 2024, she has been a Postdoctoral Fellow at Boston University, Massachusetts, USA. Previously, from 2022 to 2024, she served as a Postdoctoral Fellow at Erciyes University in Kayseri, Turkey. Her academic journey began as a Research Assistant at Erciyes University from 2010 to 2021. During her early career, she also worked as a Research Assistant at Eindhoven University of Technology in Holland and Bozok University in Turkey.

AWARDS AND HONORS

Miray's outstanding contributions to biomedical engineering have been recognized with several prestigious awards, including the Turkish Scientific and Technological Research Council Scholarship-2250 in 2024 and the Scholarship-2219 in 2023. She also received the Prof. Dr. Suphi Artunkal Award at the 26th National Nuclear Medicine Congress in 2014. Her academic excellence is further demonstrated by her receipt of the Turkcell Academy Merit Scholarship in 2009 and the IAESTE Trainee Scholarship in 2008.

RESEARCH INTERESTS

Miray's research focuses on signal processing, optical brain imaging, cognitive neuroscience, eye tracking, machine learning, and image processing. Her work is dedicated to advancing our understanding of brain functions through innovative techniques and technologies.

PROJECTS

Miray is currently leading a groundbreaking study on using concurrent fNIRS and eye-tracking to investigate brain functions during walking and social interaction, supported by TÜBİTAK 2219. She is also involved in evaluating the effects of internet usage duration on brain activity through various cognitive tasks. Her completed projects include an analysis of brain functions in young adults with internet game addiction and cognitive functions in patients with attention deficit and hyperactivity disorders.

PUBLICATIONS

Miray has an extensive publication record, contributing to numerous high-impact journals. Her notable works include studies on multimodal analysis of cortical activation in young adults with internet gaming disorder, diagnosis of attention deficit hyperactivity disorder using combined time and frequency features, and the effects of methylphenidate treatment in children with ADHD. Her research has been published in renowned journals such as Biocybernetics and Biomedical Engineering, Neural Computing and Applications, and the Journal of Medical Systems.

SIGNIFICANT ACHIEVEMENTS

Miray's research has significantly impacted the field of biomedical engineering, earning her a reputable H-index and a growing number of citations. Her innovative approaches in combining different measurement tools and analyzing cognitive functions have paved the way for new methodologies and insights in the study of brain activities and disorders.

INTERNATIONAL COLLABORATIONS

Miray actively engages in international collaborations, working with esteemed researchers and institutions worldwide. Her collaborations have enriched her research, bringing diverse perspectives and expertise to her projects, further enhancing the quality and impact of her work.

NOTABLE PUBLICATION

Denis Silva da Silveira – Sustainable Energy Consumption – Best Researcher Award

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Denis Silva da Silveira - Sustainable Energy Consumption - Best Researcher Award

Federal University of Pernambuco - Brazil

AUTHOR PROFILE

SCOPUS

CURRENT ROLE AND EXPERIENCE

Denis Silva da Silveira is an associate professor in the Department of Management at the Federal University of Pernambuco (UFPE) in northeastern Brazil. With over a decade of experience in the software industry as a developer and consultant, Denis transitioned into academia, where he now focuses on business process management and information systems.

EDUCATION AND POSTDOCTORATE

Denis earned his Ph.D. in Production Engineering from the Federal University of Rio de Janeiro (UFRJ) in 2009, with a dissertation titled "Animare: An Animation Method for Validating the Business Process." He completed a postdoctoral fellowship at the New University of Lisbon in 2015/2016, where he developed a reusable business process modeling approach.

RESEARCH INTERESTS

Denis’s research interests are diverse and encompass information systems architecture, conceptual modeling, semantic models, user models, and business process management. He is particularly interested in how these areas intersect and enhance organizational efficiency.

INTERNATIONAL RESEARCH AND PUBLICATIONS

Denis is actively involved in international research collaborations and has an extensive publication record. He has authored over 180 papers across journals, conferences, workshops, and book chapters, making significant contributions to the field of information systems and business process management.

EDITORIAL AND PROGRAM COMMITTEES

Denis serves on the editorial boards of several esteemed international journals, including the International Journal of Simulation and Process Modelling, the Journal of Advances in Management Sciences & Information Systems, and the Journal of Comprehensive Business Administration Research. He is also a member of program committees for prominent scientific conferences, such as the International Symposium on Business Modelling and Software Design (BMSD).

AWARDS AND HONORS

Throughout his career, Denis has received numerous accolades. Notably, he secured the Best Paper Award at the 14th International Conference on Computational Science and its Applications (ICCSA 2014) and an Honorable Mention at the 23rd Brazilian Congress of Informatics in Education in 2012. His achievements highlight his impact and recognition within the academic community.

SUPERVISION AND MENTORSHIP

Denis has supervised four doctoral theses and thirty master's dissertations, demonstrating his commitment to mentoring the next generation of scholars. His students have also achieved recognition, with one winning second place in the Master's Dissertation Contest at the 3rd Brazilian Congress of Informatics in Education in 2014.

NOTABLE PUBLICATION

Ali Nazari – Sustainable Engineering – Best Scholar Award

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Ali Nazari - Sustainable Engineering - Best Scholar Award

Sharif University of Technology - Iran

AUTHOR PROFILE

SCOPUS

CURRENT ROLE AND EXPERIENCE

Ali Nazari is an experienced Teaching Assistant with a strong background in construction materials and structural analysis. He has served at prestigious institutions such as Sharif University of Technology in Tehran, Iran, where he assisted in teaching courses on Construction Materials and Concrete Technology under the supervision of Dr. Mohammadhasan Ramesht and Dr. Vahab Toufigh. He also held a Teaching Assistant position at the University of Mazandaran in Babolsar, Iran, focusing on Structural Analysis under the guidance of Dr. Mahdi Nematzadeh.

RESEARCH INTERESTS

Ali’s research interests are diverse and impactful, encompassing Rehabilitation and Strengthening Techniques for Existing Structures, Application of Fiber Reinforced Polymer (FRP), and Polymer Concrete. He is also dedicated to Nondestructive Testing and Structural Health Monitoring using Ultrasonic Techniques, Laboratory Testing of Structural Components, and the Application of Green Construction Materials. Additionally, Ali explores Structural Fire Engineering and the integration of Machine Learning into structural analysis.

HONORS AND ACHIEVEMENTS

Ali has been recognized for his academic excellence, ranking in the top 1% out of approximately 148,429 participants in the National Post-Secondary University Entrance Exam in Iran in September 2017. He also ranked 27th in the nationwide M.Sc. Civil Engineering program entrance exam among over 30,000 candidates in October 2021. His leadership skills were evident when he served as the Secretary of the University of Mazandaran Students' Scientific Association in the Department of Civil Engineering from December 2020 to August 2021.

RESEARCH CONTRIBUTIONS

Ali has made significant contributions to the field of civil engineering through his research. He co-authored a paper with Nematzadeh and Tayebi in 2022, titled “Post-fire impact behavior and durability of steel fiber-reinforced concrete containing blended cement–zeolite and recycled nylon granules as partial aggregate replacement,” published in the Archives of Civil and Mechanical Engineering. In 2024, he collaborated with Toufigh on a paper examining the effects of elevated temperatures and re-curing on concrete containing rice husk ash, which appeared in Construction and Building Materials. Ali also presented a conference paper on the compressive strength analysis of fly ash-based geopolymer concrete using a machine learning approach at the Second International Congress of Civil Engineering, Architecture, Building Materials, and Environment.

APPLICATION OF GREEN CONSTRUCTION MATERIALS

Ali is passionate about sustainable construction practices, particularly the application of green construction materials. His research focuses on developing eco-friendly solutions and incorporating materials like blended cement-zeolite and recycled nylon granules to enhance the durability and environmental impact of construction projects.

NONDSTRUCTIVE TESTING AND STRUCTURAL HEALTH MONITORING

Ali’s expertise extends to nondestructive testing and structural health monitoring, utilizing advanced ultrasonic techniques. His work in this area aims to improve the safety and longevity of structures by identifying and addressing potential issues without causing damage.

PERSONAL INTERESTS AND ACTIVITIES

Outside of his professional and academic pursuits, Ali enjoys a variety of activities that enrich his life. He is an avid reader and translator, enjoys computing, and has a keen interest in research. His hobbies also include swimming, bicycle riding, art, photography, and traveling, all of which contribute to his well-rounded personality and diverse skill set.

NOTABLE PUBLICATION

Effects of elevated temperatures and re-curing on concrete containing rice husk ash

Authors: Nazari, A., Toufigh, V.
Year: 2024
Journal: Construction and Building Materials, 439, 137277

Spatiotemporal deep learning approach for estimating water content profiles in soil layers

Authors: Fazel Mojtahedi, F., Ghaffari, M.A., Rahmati, S., Sadeghi, H., Vanapalli, S.K.
Year: 2023
Conference: E3S Web of Conferences, 382, 22003

Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran

Authors: Ghorbani, Z., Khosravi, A., Maghsoudi, Y., Javadnia, E., Nazari, A.
Year: 2022
Journal: Scientific Reports, 12(1), 13998

Correction to: Comparison of Soil Strength Parameters in a Small and Large Scale Direct Shear Test (Advances in Science, Technology & Innovation, 10.1007/978-3-030-01665-4_41)

Authors: Mojtahedi, S.F.F., Rezvani, S., Nazari, A.
Year: 2019
Journal: Advances in Science, Technology and Innovation, pp. C1–C3

Correction to: Comparison of Soil Strength Parameters in a Small and Large Scale Direct Shear Test (Recent Advances in Geo-Environmental Engineering, Geomechanics and Geotechnics, and Geohazards, Advances in Science, Technology & Innovation, 10.1007/978-3-030-01665-4_41)

Authors: Mojtahedi, S.F.F., Rezvani, S., Nazari, A.
Year: 2018
Journal: Advances in Science, Technology and Innovation, pp. C1–C3