Luis Cavique | Computer Science | Best Research Award

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Prof. Luis Cavique | Computer Science | Best Research Award

Universidade Aberta | Portugal

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Prof. Luís Cavique began his academic journey with a strong foundation in Computer Science, earning a degree in Computer Science Engineering in 1988 from the Faculty of Science and Technology at the New University of Lisbon. His pursuit of advanced knowledge continued with a Master’s in Operational Research and Systems Engineering in 1994 from the Instituto Superior Técnico, Technical University of Lisbon, where he focused on complex problems like crew scheduling. His academic commitment culminated in 2002 with a PhD in Engineering Systems, where he explored meta-heuristics for the Maximum Clique Problem, emphasizing applications in market basket analysis. This robust educational background set the stage for a career marked by analytical depth and academic rigor.

Professional Endeavors 👨‍🏫

Prof. Cavique’s teaching career spans several decades, beginning in 1991 in the Polytechnic Education System in Portugal, where he held adjunct positions at Setúbal and Lisbon Polytechnic Institutes until 2008. Since then, he has served as an Assistant Professor with tenure at the Universidade Aberta, focusing on computer science within the Department of Sciences and Technology. His dedication to fostering knowledge extends to graduate and doctoral levels, where he teaches courses such as Data Mining, Social Network Analysis, and Optimization. Beyond academia, Prof. Cavique also gained hands-on experience in the banking sector as a Systems Engineer at Banco Pinto & Sotto Mayor and through internships at prominent institutions like Banco Espírito Santo and the National Laboratory of Civil Engineering.

Contributions and Research Focus 🔍

With a strong interdisciplinary approach, Prof. Cavique’s research bridges Computer Science and Engineering Systems, focusing primarily on heuristic optimization and data mining. His work has addressed three core data mining challenges: classification, association, and segmentation. Notable publications include groundbreaking algorithms and tools, such as the LAID algorithm for classification, Ramex for association in financial product analysis, and ComDetection for community detection in social networks. These contributions have positioned Prof. Cavique at the forefront of data-driven research, and his methods are applied widely in sectors requiring complex data analysis.

Accolades and Recognition 🏆

Prof. Cavique's scholarly work has been recognized internationally, with several of his papers published in prestigious journals. His 1999 paper on crew scheduling received the IFORS-Lisbon Prize in 2000 from the Association of Operational Research in Portugal (APDIO). Many of his publications are highly cited, with articles featured in Q1-ranked journals, illustrating the high impact and quality of his research. His dedication to advancing data mining and optimization has earned him both peer recognition and a strong citation record, showcasing his influence in these fields.

Impact and Influence 🌍

Throughout his career, Prof. Cavique has made a lasting impact on the fields of data mining and heuristic optimization. His research has influenced approaches in financial analytics, community detection in social networks, and data reduction techniques, providing foundational tools and algorithms that are utilized in academia and industry alike. His methodologies have empowered researchers and practitioners in various domains to make informed, data-driven decisions, underscoring his role as a pioneer in computational research.

Legacy and Future Contributions 🌟

As a leading academic and researcher, Prof. Cavique’s legacy is defined by his contributions to both knowledge and education in computer science. His focus on heuristic optimization and data mining continues to inspire new research, particularly in emerging fields such as bioinformatics and social network analysis. His commitment to teaching and mentoring the next generation of scientists ensures that his impact will extend well into the future, enriching the scientific community and driving innovation in computational methods.

 

Publications

  • 📝 Mitigating false negatives in imbalanced datasets: An ensemble approach
    Authors: Marcelo Vasconcelos; Luís Cavique
    Journal: Expert Systems with Applications
    Year: 2024
  • 📝 Assessment in Collaborative Learning
    Authors: Luis Cavique; M. Rosário Ramos
    Journal: Revista de Educación a Distancia (RED)
    Year: 2024

 

Elif Keskin Bilgiç | Engineering | Best Researcher Award

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Mrs. Elif Keskin Bilgiç | Engineering | Best Researcher Award

Istanbul University -Cerrahpaşa | Turkey

Author Profile

Orcid

Early Academic Pursuits 🎓

Mrs. Elif Keskin Bilgiç's academic journey began with a strong foundation in biology, earning her B.Sc. in Biology from Abant İzzet Baysal University in 2010. She further pursued her passion for biomedical engineering, completing an M.Sc. at Istanbul University in 2016. Her master's thesis focused on investigating the therapeutic effects of innovative biomaterials, such as L-Dopa and Lawsone, in wound healing. This early academic focus laid the groundwork for her expertise in biomedical engineering and clinical applications. In 2024, she completed her Ph.D. in Biomedical Engineering from Istanbul University-Cerrahpaşa, specializing in non-invasive clinical decision support systems for diagnosing gastrointestinal diseases using advanced machine learning methods. 📚

Professional Endeavors 💻

With over a decade of professional experience, Mrs. Bilgiç has made significant contributions as both a researcher and educator. She has taught Cambridge Biology at the A-Level from 2016 to 2024 at the International Gokkusagi School in Istanbul, equipping students with critical knowledge to excel in international examinations. As a researcher at Istanbul University-Cerrahpaşa since 2016, she has pioneered research using transfer learning techniques to detect celiac disease, developing predictive machine learning models to aid in diagnostics. Her work in wound healing and biomaterials during her early career helped shape her innovative approaches in biomedical engineering.

Contributions and Research Focus 🔬

Mrs. Bilgiç's research centers on developing non-invasive clinical decision support systems for diagnosing autoimmune diseases, with a particular focus on celiac disease. Her groundbreaking research involves the use of machine learning models, including transfer learning and deep learning, to diagnose the disease by analyzing facial images and predicting Marsh levels from patient data. This innovative approach merges cutting-edge AI technology with clinical diagnostics, advancing the field of medical science. In addition, her research on the therapeutic effects of biomaterials in wound healing has expanded the knowledge base in biomedical engineering.

Accolades and Recognition 🏆

Mrs. Bilgiç has published multiple scientific papers, including an original article on using transfer learning for celiac disease identification, which has garnered attention within the scientific community. Her work has been presented at numerous conferences and symposia, including international venues such as the Bilge Kagan 2nd International Science Congress in Barcelona, Spain, and the 11th Nanoscience and Nanotechnology Conference in Ankara, Turkey. Her innovative approaches to clinical diagnostics and contributions to autoimmune disease research have earned her recognition as a thought leader in the field.

Impact and Influence 🌍

Through her research, Mrs. Bilgiç is reshaping how clinical diagnostics are performed, particularly for gastrointestinal and autoimmune diseases. Her development of non-invasive diagnostic systems could revolutionize patient care, offering faster and more accurate diagnosis options. Her educational impact extends beyond the research lab, as she has inspired countless students through her teaching, blending her academic and professional expertise into practical applications that shape future scientists and researchers.

Legacy and Future Contributions ✨

Mrs. Bilgiç's work in machine learning, biomedical engineering, and education has laid a strong foundation for future advancements in healthcare technology. Her legacy will likely be marked by her innovations in non-invasive diagnostic tools and her contribution to the understanding of biomaterials in medical treatment. As her research evolves, she is poised to continue making significant contributions that will benefit patients and healthcare providers alike, influencing the future of clinical decision support systems and biomedical engineering for years to come.

 

Publications

📖 Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification 
Author: Elif Keskin Bilgiç, Inci Zaim Gokbay, Yusuf Kayar
Journal: Applied Sciences
Year: 2024

 

Furkan Aydin | Engineering | Best Researcher Award

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Mr. Furkan Aydin | Engineering | Best Researcher Award

Polytechnic of Milan | Italy

Author profile

Orcid

🎓 Early Academic Pursuits

Furkan Aydin’s academic journey began with a strong foundation in civil engineering. He completed his BSc in Civil Engineering from Anadolu University, Eskişehir, Turkey, where he was part of an English education program. His academic excellence was further enriched by an Erasmus+ exchange program at Halmstad University, Sweden. Furkan later pursued an MSc in Civil Engineering for Risk Mitigation at Politecnico di Milano, Italy. His master's thesis focused on a method to process eye-tracker data with image processing algorithms for driver behavior analysis, showcasing his ability to merge traditional engineering with modern technological approaches.

🛠️ Professional Endeavors

Furkan Aydin’s professional career is marked by diverse roles in civil engineering and risk management. His journey started with internships at Yörük Yapı in Istanbul and Gülermak Heavy Industries Construction & Contracting Co. in Warsaw, where he gained hands-on experience in civil engineering. He later transitioned to a Site Civil Engineer role at Yörük Yapı and subsequently worked as a Technical Office Engineer, responsible for tendering and procurement for significant projects like the Annapol Tramline Depot in Warsaw. Currently, Furkan is a Reinsurance Associate Specialist at Anadolu Sigorta in Istanbul, reflecting his versatility in both engineering and financial risk management.

📚 Contributions and Research Focus

Furkan has made notable contributions in the field of civil engineering, particularly in risk management and driver behavior analysis. His research interests are broad, encompassing geospatial data processing, structural assessment, fire and blast safety, and transport management in emergency planning. His work has been recognized in academic publications, including a paper on analyzing driver visual behavior using eye-tracker data, published in Applied Sciences.

🏆 Accolades and Recognition

Furkan’s academic and professional excellence has been recognized through various certifications and accolades. He has earned certifications in Python programming, data science, and MATLAB, among others. His proficiency in civil engineering tools like AutoCAD, STA4CAD, and SAP2000, coupled with his language skills in English, Italian, and Turkish, positions him as a well-rounded professional in his field.

🌍 Impact and Influence

Furkan Aydin’s work in risk management and civil engineering has had a significant impact on the projects he has been involved in, particularly in the context of infrastructure development and emergency planning. His research on driver behavior analysis using cutting-edge technology contributes to the broader understanding of traffic safety and urban planning.

🌟 Legacy and Future Contributions

As Furkan continues his career, his legacy is likely to be defined by his innovative approach to integrating technology with traditional civil engineering practices. His future contributions will likely focus on advancing the fields of risk management, infrastructure development, and urban planning, making him a pivotal figure in shaping the future of civil engineering.

 

Publications 📚

📄 An Image Processing-Based Method to Analyze Driver Visual Behavior Using Eye-Tracker Data
Authors: Furkan Aydin, Giandomenico Caruso, Lorenzo Mussone
Journal: Applied Sciences
Year: 2024

 

Mahmoud Karaz | Engineering | Best Researcher Award

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Mr. Mahmoud Karaz | Engineering | Best Researcher Award

University of Minho | Portugal

Author Profile

Scopus

Google Scholar

Early Academic Pursuits 🎓

Mahmoud Karaz's academic journey began with a Bachelor's degree in Geomatics and Surveying Engineering from Al Balqa Applied University in Jordan. Building a solid foundation in civil engineering principles, he further advanced his expertise by earning a Master's Degree in Civil Engineering with a focus on Construction Technology Management from Politécnica Poznanska in Poland. His pursuit of academic excellence continued as he embarked on a PhD in Lean Construction and Building Information Modeling (BIM) at Universidade Do Minho in Portugal, where he currently contributes to cutting-edge research in the field.

Professional Endeavors 🏗️

Throughout his career, Mahmoud has garnered extensive experience in construction management and BIM across various countries, including Jordan, Saudi Arabia, Portugal, and Poland. His roles have ranged from a Site Manager at Marwan al kurdi, where he ensured the precision of surveying activities for highways and concrete works, to a Construction Project Manager at Nahdet Al Emaar in Saudi Arabia. Here, he successfully managed project costs and schedules for high-budget projects. In his role as a BIM Coordinator at VN2R in Portugal, Mahmoud advanced BIM-based project delivery methodologies, enhancing the competitiveness and success of construction projects.

Contributions and Research Focus 🧩

Mahmoud's research interests lie in Lean Construction and BIM integration. He conducts comprehensive literature reviews to identify gaps in these areas, formulates proposals, and evaluates their efficacy through data analysis. Engaging with industry partners, he gains insights on practical adoption and presents findings at academic forums. His contributions to the field also include mentoring students and advancing professional skills. His work emphasizes optimizing project efficiency, quality assurance, and stakeholder management, aligning with his commitment to enhancing construction methodologies.

Accolades and Recognition 🏅

Mahmoud's dedication to his field has been recognized through various roles and responsibilities he has undertaken. His ability to manage complex projects, develop customized workflows using Dynamo and Grasshopper, and provide training and mentorship in BIM technology showcases his multifaceted skill set. His efforts have resulted in significant cost savings, timely project delivery, and enhanced project outcomes, earning him respect and recognition in the construction management and BIM communities.

Impact and Influence 🌍

Mahmoud's work in Lean Construction and BIM has had a substantial impact on the construction industry. His methodologies and research have contributed to improving project efficiency, reducing costs, and enhancing overall project quality. By integrating advanced BIM techniques and Lean Construction principles, he has influenced the way construction projects are managed and executed, leading to more effective and sustainable practices.

Legacy and Future Contributions 🌟

Mahmoud Karaz's legacy in the field of construction management and BIM is marked by his commitment to advancing academic and professional development. His collaborative approach and passion for research position him to make meaningful contributions to the industry. As he continues his PhD and professional endeavors, Mahmoud aims to further refine and innovate construction methodologies, leaving a lasting impact on the field and contributing to the growth and success of organizations worldwide.

 

Publications 📚

Mitigating Making-Do Practices Using the Last Planner System and BIM: A System Dynamic Analysis 📄

Authors: M Karaz, JMC Teixeira, TG do Amaral
Journal: Preprints
Year: 2024

Digital Asset Production Using Lean Design Management: A Conceptual Framework 📄

Authors: M Karaz, JC Teixeira
Journal: New Advances in Building Information Modeling and Engineering Management
Year: 2023

Waste Elimination based on Lean Construction and Building Information Modelling: A Systematic Literature Review 📄

Authors: M Karaz, JC Teixeira
Journal: U. Porto Journal of Engineering
Year: 2023

A System Dynamic Modelling Approach for Integrated Lean-BIM Planning and Control Methods 📄

Authors: M Karaz, JMC Teixeira
Journal: International Group for Lean Construction (IGLC)
Year: 2023

Waste Elimination and Value Management Framework Based on Lean Design Methods 📄

Authors: M Karaz, JC Teixeira
Journal: International Conference on Trends on Construction in the Post-Digital Era
Year: 2022

 

Merve Asiler | Computer Science | Best Researcher Award

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Ms. Merve Asiler | Computer Science | Best Researcher Award

Middle East Technical University | Turkey

Author Profile

Orcid

Googler Scholar

Early Academic Pursuits

Ms. Merve Asiler's academic journey began with an impressive performance at Yıldırım Beyazıt Science High School in Ankara, Turkey, where she graduated at the top of her class. She continued her education at the Middle East Technical University (METU) in Ankara, Turkey, earning dual bachelor's degrees in Computer Engineering and Mathematics. During her undergraduate studies, she developed a strong interest in algorithms, computer organization, operating systems, and computer graphics. She pursued her Master’s degree in Computer Engineering at METU, specializing in Big Data and Graph Databases, and is currently working towards her Ph.D. in Computer Engineering with a focus on Computer Graphics, Computational Geometry, and Digital Geometry Processing.

Professional Endeavors

Merve Asiler has accumulated extensive professional experience in both academia and industry. She has worked as a Research and Teaching Assistant at METU, where she has contributed to various courses, including Introduction to Computer Engineering Concepts, C Programming, Algorithms, and Computer Engineering Design. Her industry experience includes roles as a Software Developer at Accelerate Simulation Technologies, Turkish Aerospace, and Kale Yazilim. These roles involved developing software for unmeshed CAD geometries, engaging in modeling and simulation activities, and handling complex queries in large graph databases using Neo4j.

Contributions and Research Focus

Ms. Asiler's research primarily revolves around computer graphics, computational geometry, and digital geometry processing. Her Ph.D. research focuses on geometric kernel computation in 3D space, developing algorithms that outperform current methods for kernel computation. Her Master's research involved developing BB-Graph, a new subgraph isomorphism algorithm for querying big graph databases. This work was done in collaboration with Kale Yazilim and demonstrated significant performance improvements over existing algorithms.

Accolades and Recognition

Ms. Asiler has been recognized for her academic excellence with a GPA of 3.93/4.00 in her Ph.D. studies and 3.71/4.00 in her Master's program. She has published significant research papers, including a study on 3D geometric kernel computation in polygon mesh structures and a subgraph isomorphism algorithm for querying big graph databases. Her work has been published in reputable journals like Computers & Graphics and the Journal of Big Data.

Impact and Influence

Ms. Asiler's contributions to computer science, particularly in the areas of computer graphics and big data, have had a significant impact on both academia and industry. Her research on geometric kernels and graph databases has advanced the understanding and application of these complex areas. As a teaching assistant, she has influenced and mentored numerous students, preparing original programming assignments and supervising student projects.

Legacy and Future Contributions

Looking ahead, Ms. Asiler plans to leverage her expertise in mesh kernels to explore novel solutions for non-self-intersecting shape interpolation and star-shape decomposition problems. Her future contributions are likely to continue pushing the boundaries of computational geometry and computer graphics, benefiting both academic research and practical applications in various industries. With her strong foundation and ongoing commitment to research, Ms. Asiler is poised to make lasting contributions to the field of computer science.

 

Notable Publications

3D geometric kernel computation in polygon mesh structures 2024

HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases 2022 (3)

 

 

 

Abidemi Adeniyi | Computer Science | Best Researcher Award

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Mr. Abidemi Adeniyi | Computer Science | Best Researcher Award

Bowen University, Iwo | Nigeria

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Mr. Abidemi Adeniyi's early academic journey began at New Oko Oba Primary School in Lagos State, Nigeria, where he completed his primary education in 2001. He then attended Obaji Comprehensive High School in Ekan-Nla, Kwara State, graduating in 2007 with a Secondary School Leaving Certificate. His post-secondary education started at Kwara State Polytechnic, Ilorin, where he earned a Higher National Diploma in Computer Science with Upper Credit in 2014. He furthered his studies at the University of Ilorin and Ladoke Akintola University of Technology, culminating in a B.Sc. in Computer Science with Second Class Upper Division in 2019 and an M.Sc. in Computer Science with Distinction in 2021. Currently, he is pursuing a Ph.D. in Computer Science at the University of Ilorin.

Professional Endeavors

Mr. Adeniyi has amassed substantial professional experience across various academic and industry roles. He currently serves as a Lecturer II at Bowen University in Osun State, Nigeria, since October 2023, where he is involved in teaching, research, and curriculum development. Prior to this, he was an Assistant Lecturer at Precious Cornerstone University, Ibadan, from March 2022 to September 2023, and a Technologist at Landmark University, where he handled practical courses and organized programming languages and computer hardware practical classes from November 2016 to March 2022. His industry experience includes roles as a Software/Web Developer at Tetrad Solution Limited and an ICT Desk Officer at the NYSC State Secretariat in Umuahia.

Contributions and Research Focus

Mr. Adeniyi's research interests are focused on Information Security using Cryptographic Algorithms, Internet of Things Security, Cloud Security, Network Security, Computational Complexity of Cryptographic Algorithms, Machine Learning, and Information Systems. He has developed proficiency in various programming languages and frameworks, including C/C++, Java, Python, Assembly Language, Spring framework, Node.JS, and Flutter. His academic contributions include several publications and presentations at international conferences, showcasing his research on cryptographic algorithms and security.

Accolades and Recognition

Mr. Adeniyi's excellence in research and teaching has been recognized through several awards and honors. He was listed as one of the top 500 researchers/authors in Nigeria by SCOPUS/SCIVAL in 2021 and 2022. He has received travel and registration grants for attending prestigious conferences, including the 2024 IEEE Conference on Secure and Trustworthy ML (SaTML) in Toronto and the ICCV 2023 DEI travel and registration grant. His distinctions also include the Certificate of Reviewer from MDPI Journal and Egyptian Informatics Journal, and an Award of Excellence in Technical Skill from Landmark University.

Impact and Influence

Throughout his career, Mr. Adeniyi has had a substantial impact on both the academic and professional communities. He has mentored numerous students, guiding them in their academic and research pursuits. His role in curriculum development and community service at various institutions has contributed to the academic quality and standards. His collaboration with industry partners to develop practical applications and solutions has further enhanced his influence in the field of computer science and information technology.

Legacy and Future Contributions

Mr. Adeniyi's dedication to excellence in teaching, learning, and research is evident in his continuous pursuit of knowledge and problem-oriented research aimed at solving immediate societal problems. His legacy is marked by his contributions to academia and industry, and his future endeavors are expected to further advance the fields of information security, cryptography, and machine learning. He remains committed to mentoring the next generation of computer scientists and contributing to the development of innovative solutions to contemporary challenges.

 

Notable Publications

A systematic review on elliptic curve cryptography algorithm for internet of things: Categorization, application areas, and security 2024

EASESUM: an online abstractive and extractive text summarizer using deep learning technique 2024

A biometrics-generated private/public key cryptography for a blockchain-based e-voting system 2024

Dark and Light Triad: A cross-cultural comparison of network analysis in 5 countries 2023 (4)

Implementation of a block cipher algorithm for medical information security on cloud environment: using modified advanced encryption standard approach 2023 (8)

 

Moparthi Nageswara Rao | Engineering | Best Researcher Award

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Dr. Moparthi Nageswara Rao | Engineering | Best Researcher Award

KL University | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Moparthi Nageswara Rao embarked on his academic journey with a strong foundation in computer science. He holds a B.Sc. in Computer Science from Acharya Nagarjuna University, India, followed by an M.Sc. in Computer Science from Bharatidasan University, India. Further enhancing his expertise, he pursued an M.Tech. in Computer Science & Engineering from Acharya Nagarjuna University, India. Dr. Rao culminated his formal education with a Ph.D. in Computer Science & Technology from Sri Krishnadevaraya University, India, specializing in Machine Learning, Software Engineering, and Data Mining.

Professional Endeavors

Currently serving as a Professor and Deputy Head of the Department in Computer Science and Engineering at KL University, India, Dr. Moparthi Nageswara Rao boasts over 22 years of experience in both the IT industry and academia. His professional journey includes significant roles such as Project Lead in the IT industry, where he developed innovative applications and software solutions for prominent companies including Birlasoft India (P) Ltd, IBM India Pvt. Ltd, Mphasis An HP Company, and Info Plus Technologies, USA. In academia, he has held positions at Velagapudi Ramakrishna Siddhartha Engineering College and KL University, where he has been instrumental in research, teaching, and mentoring students in various computer science disciplines.

Contributions and Research Focus

Dr. Rao's research and contributions span across several key areas in computer science, including data mining and machine learning, where he has developed models and techniques for efficient data processing and analysis; software engineering, advancing methodologies and practices in software development; and the Internet of Things (IoT), exploring the integration of IoT technologies in various applications. Additionally, he has played a pivotal role in curriculum development, designing and implementing innovative educational techniques and strategies. His research has been widely recognized, with numerous articles published in top-tier academic journals, including those indexed in SCI and Scopus.

Accolades and Recognition

Dr. Rao's excellence in research and teaching has been recognized through numerous awards and honors, including the Best Teacher Award (2018), Award of Excellence in Research (2020) by Novel Research Academy, and Outstanding Reviewer Awards from Inderscience, Springer, and Elsevier. Additionally, he received the One Team One Dream Award from IBM India, Spot Award from Mphasis, and Best Performer of the Month Award from Sony India. Dr. Rao has authored 43 publications, including 14 SCI-indexed and 20 Scopus-indexed articles, published two books, and holds three patents, one of which has been granted. His contributions to industrial projects include leading funded initiatives such as augmented reality applications for real estate and systems for diagnosing diabetic retinopathy.

Impact and Influence

Dr. Rao has made a substantial impact in both the academic and industrial sectors through his dedicated efforts in student mentoring and development, guiding numerous Ph.D., M.Tech., and B.Tech. students in their academic and research pursuits. He has fostered industry collaboration, developing practical applications and solutions, such as augmented reality applications and medical diagnostic systems. Additionally, Dr. Rao has significantly contributed to academic quality and standards by actively participating in accreditation and certification duties, ensuring the institutions he is affiliated with maintain high standards of education and research.

Legacy and Future Contributions

Dr. Rao's legacy in the field of computer science is marked by his commitment to education, research, and innovation. His future contributions are anticipated to further advance the integration of technology in education and industry. With a focus on cutting-edge technologies such as AI, ML, and IoT, he is poised to continue influencing the next generation of computer scientists and engineers.

 

Notable Publications

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems 2024 (3)

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data 2024 (3)

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture 2024

An Efficient Aspect-based Sentiment Classification with Hybrid Word Embeddings and CNN Framework 2024

Dual Interactive Wasserstein Generative Adversarial Network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT 2023 (1)

 

Chao Huang | Engineering | Best Research Award

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Chao Huang | Best Research Award - Award Winner 2023

Chao Huang | Engineering

Congratulations, Chao Huang! Your exceptional dedication to research and relentless pursuit of knowledge have rightfully earned you the esteemed Best Researcher Award. Your work at The Hong Kong Polytechnic University stands as a testament to your unwavering commitment to excellence in academia. Through your groundbreaking contributions and innovative thinking, you've not only pushed the boundaries of knowledge but also inspired your peers and mentees to reach greater heights. This recognition is a testament to your brilliance and the impact your work has made in your field.

Your relentless pursuit of excellence in research has set a remarkable standard, establishing you as a trailblazer in your field. Your innovative approaches and unwavering dedication have not only advanced the frontiers of knowledge at your institution but have also contributed significantly to the broader academic community. This award not only celebrates your remarkable achievements but also serves as a testament to the profound impact you've made in your field and beyond. Keep shining brightly as a beacon of inspiration and knowledge!

Early Academic Pursuits

Chao Huang commenced her academic journey with a Bachelor's degree in Control Engineering from China University of Petroleum (Beijing) in 2012. She then pursued her Master's in Control Engineering at the same institution, graduating in July 2014. Her academic foundation laid the groundwork for her subsequent research and professional endeavors.

Professional Endeavors

Transitioning from academia to impactful research roles, Chao Huang served as a PhD candidate at the University of Wollongong, Australia, from July 2014 to August 2018. Following her doctoral studies, she took on roles in Japan as a technical support professional and a project researcher at the National Institute of Informatics.

Contributions and Research Focus

Throughout her career, Chao Huang has made significant contributions to the field of engineering, particularly in control theory, human-machine collaboration, system modeling, and simulation. Her research spans diverse domains, including robots, decision-making, unmanned aerial vehicles (UAVs), trajectory prediction, risk assessment, and fault-tolerant control systems. Her doctoral thesis on "Fault tolerant Steer-by-Wire systems: Impact on vehicle safety" showcases her commitment to ensuring safety in vehicle technologies.

Short Courses Attended

Details about specific short courses attended by Chao Huang aren't provided in the information available.

Impact and Influence

Chao Huang's work has left a substantial impact on various academic domains, evident from her multiple publications, editorial roles in prestigious journals, and contributions to numerous special issues. Her active participation in conferences and symposiums also underscores her influence in shaping discussions around cutting-edge engineering advancements.

Academic Citations

Her research contributions have garnered significant attention and citations within the academic community, reflected in her profile on Google Scholar, demonstrating the impact of her scholarly work.

Experience

Her diverse experience, ranging from technical support to project research roles across different countries, has enriched her understanding and expertise in engineering and control systems.

Legacy and Future Contributions

Chao Huang's legacy lies in her comprehensive involvement in research, teaching, publication, conference organization, and mentorship. Her future contributions are poised to further revolutionize engineering, especially in the realms of human-machine collaboration, control systems, and the integration of emerging technologies like UAVs and robotics.

This summary provides an overview of Chao Huang's academic and professional journey, highlighting her significant contributions, areas of expertise, and the potential impact of her future endeavors.

Notable Publication

Mobile robots in wireless sensor networks: A survey on tasks  15 January 2019

An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors  25 November 2020

Fault Tolerant Sliding Mode Predictive Control for Uncertain Steer-by-Wire System 17 November 2017

 

 

 

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Tek Gyawali | Engineering | Best Researcher Award

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Tek Gyawali | Best Researcher Award - Award Winner 2023

Tek Gyawali | Engineering

Congratulations, Tek Gyawali, on receiving the prestigious Best Researcher Award! Your unwavering commitment to advancing knowledge and pushing the boundaries of research has rightfully earned you this esteemed recognition. Your dedication to exploring innovative solutions and your relentless pursuit of excellence in academia are truly commendable.

Your contributions to the field of research stand as a testament to your passion and expertise. Your profound insights and impactful discoveries have not only enriched academia but also have the potential to make a lasting difference in the world. Your relentless efforts in unraveling new frontiers in your field have not gone unnoticed, and this award is a testament to your hard work, perseverance, and outstanding achievements. Here's to celebrating your remarkable accomplishments and the groundbreaking contributions you continue to make in the realm of research. Cheers to your success and the inspiration you provide to aspiring researchers worldwide!

Early Academic Pursuits:

Prof. Dr. Tek Raj Gyawali pursued his education across various institutions, demonstrating a strong foundation in Mathematics, Science, and Engineering disciplines. His educational journey began at Gandaki Boarding School in Nepal and continued with proficiency certificate studies at Amrit Science Campus in Kathmandu. Subsequently, he obtained specialized training in Chinese language from the Beijing Language Institute before pursuing Bachelor's, Master's, and Doctoral degrees in Engineering from Tongji University in Shanghai and the University of Tokyo in Japan, respectively.

Professional Endeavors:

Prof. Dr. Gyawali's professional trajectory exhibits a rich blend of research, teaching, and managerial roles. His career commenced as a Research Engineer at Developing and Consulting Services (DCS) in Nepal. This journey expanded to managerial positions at Meada Corporation in Japan, where he served as a Manager and later as the Country Representative for Nepal. He further contributed to academia as a Professor and Faculty Member at various engineering colleges and universities in Nepal, specializing in Civil Engineering.

Contributions and Research Focus:

Throughout his career, Prof. Dr. Gyawali has been actively involved in a diverse array of research initiatives and projects. His research interests encompass multiple facets of concrete technology, continuous mixer development, material engineering, and seismic-resistant construction methodologies. He has contributed significantly to the development of innovative concrete mixing systems, lightweight concrete formulations, mortar technologies, and eco-friendly construction materials.

Short Courses Attended:

Prof. Dr. Gyawali participated in numerous short courses and seminars worldwide, focusing on concrete technology, structural engineering, construction management, and disaster management. These engagements across various countries like Japan, China, the UK, Spain, Poland, and more reflect his dedication to continuous learning and professional development.

Impact and Influence:

His contributions to academia, research, and the engineering field are exemplified through a prolific publication record comprising theses, research papers, seminar proceedings, journal articles, and research reports. Prof. Dr. Gyawali's work has notably focused on improving concrete mixing techniques, developing innovative construction materials, and advancing seismic-resistant technologies.

Academic Cites:

His academic endeavors include guiding students' research projects, teaching various engineering subjects, supervising master's theses, and contributing to curriculum development. Additionally, he has served as a committee member for academic program planning, curriculum design, and research proposal evaluations.

Experience:

Prof. Dr. Gyawali's extensive experience spans structural analysis, material science, concrete technology, and disaster management. He's been involved in consulting, technical advisory roles, project management, and research collaborations in notable projects such as the Three Gorges Project in China and various academic collaborations in Japan, the UK, and other countries.

Legacy and Future Contributions:

Prof. Dr. Gyawali's legacy lies in his multifaceted contributions to academia, innovative research in concrete technology, seismic-resistant construction methodologies, and his commitment to educating future engineers. His work continues to inspire advancements in the field of civil engineering, and he remains dedicated to fostering sustainable, eco-friendly construction practices for the future.

Notable Publication

Use of high ductile mortar mixing method for the enhancement of flexural fracture behaviour of steel filler mortar  2 June 2023

Effect of the mixing procedure on the properties of lightweight EPS mortar  1 June 2023,

Effect of sand types and mixing procedures on the flexural behaviour of the high ductile mortar in monotonic and cyclic loadings   3 March 2023

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