Diogo Santiago | Computer Science | Best Researcher Award

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Mr. Diogo Santiago | Computer Science | Best Researcher Award

Oracle | Brazil

Mr. Diogo Santiago is a highly accomplished technology professional with extensive experience spanning software engineering, big data, and artificial intelligence. Beginning his career in 2009 as a software engineer developing major e-commerce platforms in Brazil, he transitioned into data engineering and science, mastering technologies like Hadoop, Spark, Hive, and Sqoop for large-scale data processing and migration. Since 2018, he has specialized in data science and AI, contributing to diverse projects in computer vision, anomaly detection, logistics optimization, and generative AI, including GAN and diffusion model applications for virtual try-on systems. As an AI Architect at Oracle for LATAM, he designs advanced AI architectures, supports clients with resource planning, and enhances model deployment efficiency through GPU optimization and large language model serving using vLLM and SGLang. His prior roles at Lambda3, Tivit, and Qintess involved developing ML models, data pipelines, and automation systems using cloud technologies such as GCP, AWS, and OCI. With multiple postgraduate qualifications in Big Data and Machine Learning for Finance, along with a Master’s in Medical Texture Imaging, he exemplifies innovation and leadership in merging AI research with scalable enterprise solutions.

Profile : Orcid

Featured Publication

Adorno, P. L. V., Jasenovski, I. M., Santiago, D. F. D. M., & Bergamasco, L. (2023, May 29). Automatic detection of people with reduced mobility using YOLOv5 and data reduction strategy. Conference paper.

 

Ziang Liu | Engineering | Best Researcher Award

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Mr. Ziang Liu | Engineering | Best Researcher Award

Nanjing University | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Mr. Ziang Liu began his academic journey with distinction at Tianjin University, where he earned his Bachelor of Science in Electronic Engineering. His strong foundation in engineering and mathematics laid the groundwork for advanced research and innovation. Continuing his academic trajectory, he pursued a Master of Science in Electronic Engineering at the prestigious Nanjing University, where he was recognized as an Outstanding Student and awarded the First-class Academic Scholarship.

Professional Endeavors

Ziang has accumulated valuable industry experience through impactful internships. At Meituan Shanghai, he served as an LLMs Evaluation Algorithm Intern, where he designed evaluation schemes and analyzed instruction-following capabilities across large language models such as Qwen, Doubao, ChatGPT 3.5/4, and Llama2-70B.  In another significant role at Alibaba DingTalk in Hangzhou, he worked on the back-end development of Chatmemo, an enterprise AI assistant. There, he implemented knowledge graph subgraph displays and integrated Retrieval-Augmented Generation (RAG), significantly boosting response speed and system performance.

Contributions and Research Focus

Mr. Liu’s core interests revolve around LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and knowledge graph technologies. He has contributed to the design and optimization of backend systems for intelligent applications in healthcare and enterprise settings. His work on deploying frameworks like Graph RAG and utilizing tools like Redis, MySQL, and Spring Boot has shown practical outcomes in real-world systems, particularly in performance optimization, load balancing, and cache management. His participation in the Nanjing University Intelligent Hospital Project resulted in a custom online medication purchasing system, complete with AI-powered Q&A capabilities and scalable backend infrastructure.

Accolades and Recognition

Ziang Liu’s academic excellence is evident through a remarkable series of accolades earned during both his undergraduate and postgraduate studies. He was honored as the Outstanding Student of Nanjing University in 2023 and received the First-class Academic Scholarship in 2022, recognizing his superior academic performance. His analytical and technical skills were demonstrated through competition achievements, including the Third Prize in the 19th Chinese Graduate Mathematical Modeling Competition (2022) and the Second Prize in the 18th Chinese Electronic Design Competition (2023). Earlier in his academic journey, he was named a Meritorious Winner in the Mathematical Contest in Modeling (MCM) in 2021 and was recognized as an Outstanding Graduate of Tianjin University in 2022. These accomplishments reflect his consistent dedication, innovation, and leadership in engineering and applied mathematics.

Impact and Influence

Ziang Liu’s work has made a tangible impact in both academia and industry. His efforts in improving instruction-following performance in LLMs and optimizing backend systems for enterprise AI applications have proven valuable for real-world implementation. His innovations in intelligent hospital systems demonstrate a commitment to applying advanced AI technologies to enhance societal well-being and operational efficiency.

Legacy and Future Contributions

Poised at the intersection of AI, backend engineering, and applied innovation, Mr. Ziang Liu is emerging as a key contributor to the next generation of AI infrastructure. His hands-on experience with cutting-edge technologies like gRPC, GraphRAG, JWT, and multi-threaded optimization positions him to drive future advancements in AI systems, enterprise platforms, and digital healthcare. With a strong academic record and robust technical expertise, he is well on his way to becoming a leading voice in intelligent systems development.

 

 

Publications

Channel-Dependent Multilayer EEG Time-Frequency Representations Combined with Transfer Learning-Based Deep CNN Framework for Few-Channel MI EEG Classification

Authors: Ziang Liu, Kang Fan, Qin Gu, Yaduan Ruan
Journal: Bioengineering
Year: 2025

Studying Multi-Frequency Multilayer Brain Network via Deep Learning for EEG-Based Epilepsy Detection

Authors: Weidong Dang, Dongmei Lv, Linge Rui, Ziang Liu, Guanrong Chen, Zhongke Gao
Journal: IEEE Sensors Journal
Year: 2021

Tazebew Dires Kassie | Engineering | Editorial Board Member

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Mr. Tazebew Dires Kassie | Engineering | Editorial Board Member

Debre Markos University | Ethiopia

Author profile

Scopus

Orcid

🌱 Early Academic Pursuits

Mr. Tazebew Dires Kassie's journey into the realm of mechanical engineering began at Debre Markos University, where he earned his Bachelor’s degree in Mechanical Engineering in 2016 with an impressive GPA of 3.8/4.0. Fueling his passion for sustainability and innovation, he pursued a Master’s in Sustainable Energy Engineering from Bahir Dar University, graduating in 2021 with a perfect CGPA of 4.0/4.0. His thirst for continuous learning has since led him to expand his expertise through multiple Nano Degrees in Artificial Intelligence, Data Science, Android Development, and Programming Fundamentals from Udacity Online, and a Master Class in Online Teaching from Arizona State University.

🧑‍🏫 Professional Endeavors

Mr. Tazebew has been a dedicated academic and engineering professional since 2016, serving as a Lecturer at Debre Markos University. His leadership skills were further recognized when he was appointed Head of the Mechanical Engineering Department in 2024, where he now oversees academic programs, faculty development, research innovation, and strategic planning. Beyond academia, his early industry experience as a Maintenance Technician at Dashen Brewery S.C. in 2015 provided a strong foundation in preventive maintenance, machinery troubleshooting, and operational efficiency.

🔬 Contributions and Research Focus

Mr. Tazebew’s research contributions lie at the intersection of renewable energy systems, thermoelectric modules, and sustainable mechanical solutions. His notable studies include optimizing stove waste heat recovery using evaporative cooling, investigating CuO-water nanofluids in thermal systems, and analyzing performance parameters of direct evaporative coolers. His publications are featured in top-tier journals such as Springer – Energy Systems, Elsevier – Journal of Thermofluids, and Case Studies in Thermal Engineering. He has published five research papers, many of which are in press, and led two funded projects as a Principal Investigator.

🏅 Accolades and Recognition

Throughout his academic and professional career, Mr. Tazebew has received multiple awards that reflect his innovation and community dedication. He earned the Best BSc Thesis Award from Debre Markos University and received formal recognition for designing and manufacturing 6 wheelchairs with integrated toilet and shower services, and a shoeshine boy’s working shade, improving both accessibility and dignity. His outreach and project work have also earned him six certificates for community engagement, especially in aiding people with disabilities.

🌍 Impact and Influence

Mr. Tazebew’s work goes beyond the confines of classrooms and labs. His community-oriented engineering solutions highlight the practical application of sustainable technologies to address local needs. As a speaker and presenter at forums such as the Ethiopian Society of Mechanical Engineering and national research conferences, he continues to inspire peers and students alike with innovations in energy-efficient systems and design thinking. His teaching integrates real-world challenges with engineering fundamentals, empowering future professionals with critical problem-solving skills.

🔮 Legacy and Future Contributions

Mr. Tazebew Dires Kassie stands as a beacon of innovation and community-driven engineering in Ethiopia. With his growing expertise in AI, data science, and digital technologies, he is poised to bridge traditional mechanical engineering with cutting-edge interdisciplinary approaches. As he continues to lead his department and expand his research portfolio, his legacy is one of sustainable impact, academic excellence, and inclusive design. The future holds promise for more transformative projects and leadership in green energy solutions, smart technologies, and engineering education reform.

Publications

📄  Design and Fabrication of a Multi-Terrain Triphibian Quadcopter for Airborne, Terrestrial, and Aquatic Mobility
Author: Tazebew Dires Kassie
Journal: Journal of Intelligent & Robotic Systems
Year: 2025

📄  Experimental Investigation of Air Velocity, Water Flow Rate and Staging of Cooling Pad on the Performance of Direct Evaporative Coolers
Authors: Tazebew Dires Kassie, Yaregal Eneyew Bizuneh
Journal: International Journal of Air Conditioning and Refrigeration
Year: 2025

📄  Numerical Studies on Thermo-Hydraulic Performance of Solar Air Heater with Quarter-Circle Roughness Ribs
Authors: Tazebew Dires Kassie, Yaregal Eneyew, Amare Merfo
Journal: Results in Engineering
Year: 2025

📄  Numerical Investigation on Heat Transfer of CuO-Water Nano-Fluid in a Circular Pipe with Twisted Tape Inserts
Authors: Tazebew Dires Kassie, Yaregal Eneyew Bizuneh, Endalkew Berhie Gebresilassie, Atalay Enyew Bizuneh
Journal: International Journal of Thermofluids
Year: 2025

📄 Enhancing a Thermoelectric Power Generation System’s Efficiency from a Stove’s Waste Heat by Optimizing the Heat Sink Temperature Junction Using a Direct Evaporative Cooler
Authors: Bimrew Admasu, Tazebew Dires Kassie, Getu Alemayehu Melas, Hailemariam Mulugeta, S. Nagarajan
Journal: Energy Systems
Year: 2025

Seunghyun Oh | Computer Science | Best Researcher Award

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Mr. Seunghyun Oh | Computer Science | Best Researcher Award

Yonsei University | South Korea

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Mr. Seunghyun Oh began his academic journey at the Global School of Media, Soongsil University, where he earned his Bachelor of Science degree in February 2025. Throughout his undergraduate studies, he demonstrated a strong aptitude for advanced technical subjects, securing A+ grades in key courses such as Image Processing, Computer Vision, and Machine Learning. His early academic record reflects a solid foundation in both theoretical concepts and applied computing.

💼 Professional Endeavors

Mr. Oh’s professional growth was marked by a series of impactful roles and experiences. In 2023, he joined the Reality Lab at Soongsil University, where he later served as Lab Leader and contributed as an undergraduate researcher until April 2025. His commitment extended beyond academia—he spearheaded a web development training initiative for a Cambodian team to build a school website, showcasing leadership and global engagement. Currently, he is working as a research intern at MAI-LAB, Yonsei University, where he continues to push the boundaries of machine intelligence.

🧠 Contributions and Research Focus

Mr. Oh’s research is centered on computer vision and medical artificial intelligence, with a particular focus on optimization and domain generalization. His notable project, Baseball Player Pose Corrector (BPPC), introduces a refined framework for enhancing 2D pose estimation using 3D motion priors. This work, accepted by ICT-Express (SCIE, IF: 4.1), highlights his innovative approach to human pose estimation in dynamic environments. Additionally, he is actively exploring feature-level domain generalization and disentanglement techniques to improve performance in ultrasound image segmentation, addressing efficiency concerns in medical imaging.

🏅 Accolades and Recognition

Mr. Oh’s dedication to research has already gained peer recognition. In 2024, he delivered an oral presentation at the Annual Symposium of KIPS (ASK 2024), showcasing his work on motion-guided pose correction. His accepted publication in a reputed journal further cements his status as a promising researcher in the field of AI-driven vision systems.

🌍 Impact and Influence

Beyond his technical contributions, Mr. Oh has had a tangible social and educational impact. His web training leadership for Cambodian school developers reflects a blend of technological expertise and social responsibility. Within research communities, he is known for his collaborative spirit and his ability to translate complex models into practical, optimized solutions—particularly in environments where precision and efficiency are critical, such as medical AI.

🔭 Legacy and Future Contributions

As he continues his journey in AI research, Mr. Seunghyun Oh is poised to make significant contributions to medical imaging, optimization algorithms, and domain generalization. His forward-thinking mindset, coupled with technical depth and leadership experience, positions him to be a transformative force in both academic and applied artificial intelligence research. With a strong publication record already underway and promising collaborations in progress, the future holds immense potential for this rising star in computer vision and medical AI.

Publications

📝 Accurate Baseball Player Pose Refinement Using Motion Prior Guidance

Authors: Seunghyun Oh, Heewon Kim
Journal: ICT Express
Year: 2025

📝 Motion Prior-Guided Refinement for Accurate Baseball Player Pose Estimation

Authors: Seunghyun Oh, Heewon Kim
Conference: Annual Conference of KIPS
Year: 2024

Fabio Matiussi | Radiology | Innovative Research Award

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Dr. Fabio Matiussi | Radiology | Innovative Research Award

Imaging Institute of Southern Switzerland | Switzerland

Author Profile

Orcid

🎓 Early Academic Pursuits

Dr. Fabio Mattiussi’s journey began with a firm commitment to healthcare and imaging sciences. He earned his degree in Medical Radiologic Technology from the University of Insubria in 2016, which laid the foundation for his clinical expertise. Eager to expand his horizons, he pursued advanced studies in healthcare system administration and health management, followed by a strategic academic leap into the realm of computer engineering. These steps reflect his unique vision to combine traditional radiology with emerging digital technologies.

🏥 Professional Endeavors

Dr. Mattiussi has served across a range of reputable healthcare institutions throughout Italy and Switzerland, building a versatile portfolio in diagnostic imaging. From private clinics in the Varese province to key positions at ASST Sette Laghi and now at the Ente Ospedaliero Cantonale in Lugano, he has mastered the art and science of radiology. His proficiency spans traditional radiography, computed tomography (CT), and magnetic resonance imaging (MRI), making him a trusted expert in patient diagnostics.

🤖 Contributions and Research Focus

Blending clinical know-how with advanced data science, Dr. Mattiussi has ventured into uncharted territory—merging machine learning with diagnostic radiology. With certifications from top institutions like Meta, IBM, Google, and DataMasters, he has cultivated deep expertise in neural networks, Python programming, and AI applications in medical imaging. His current focus lies in developing intelligent systems that can revolutionize image interpretation, automate detection, and significantly enhance diagnostic accuracy.

🏅 Accolades and Recognition

While his formal recognitions are still on the rise, Dr. Mattiussi’s consistent pursuit of innovation has earned him recognition within both the medical and tech education spheres. His completion of numerous elite certifications and active engagement in online scientific communities marks him as a forward-thinking professional committed to lifelong learning and impactful research.

🌍 Impact and Influence

Dr. Mattiussi’s influence spans both clinical and technological domains. His ability to work seamlessly across languages and disciplines empowers him to contribute to international healthcare dialogues. By staying at the cutting edge of both patient care and digital innovation, he serves as a bridge between traditional radiology departments and the fast-evolving world of AI-driven diagnostics.

🔮 Legacy and Future Contributions

Dr. Fabio Mattiussi is poised to leave a legacy as a pioneer in the integration of artificial intelligence into medical imaging. His academic rigor, technical acumen, and compassionate healthcare experience equip him to lead future innovations in radiology. As machine learning continues to redefine medical practices, Dr. Mattiussi is set to be at the forefront—developing tools, systems, and protocols that will shape the future of global healthcare.

Publications

📄  Use of Open-Source Large Language Models for Automatic Synthesis of the Entire Imaging Medical Records of Patients: A Feasibility Study

Authors: Fabio Mattiussi, Francesco Magoga, Simone Schiaffino, Vittorio Ferrari, Ermidio Rezzonico, Filippo Del Grande, Stefania Rizzo

Journal: Tomography

Year: 2025

Resul Tuna | Computer Science | Best Researcher Award

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Mr. Resul Tuna | Computer Science | Best Researcher Award

Sinop University | Turkey

Author Profile

Orcid

Google Scholar

🎓 Early Academic Pursuits

Resul Tuna embarked on his academic journey with a Bachelor’s degree in Computer Education from Kocaeli University (1996–2000). Building on this foundation, he pursued a Master’s degree in Electronic and Computer Education at Gazi University (2004–2006). He continued his quest for knowledge by undertaking a second Bachelor’s degree in Computer Engineering at Karabük University (2020–2023). Currently, he is advancing his expertise with a Ph.D. in Computer Engineering at Karabük University, demonstrating an enduring commitment to lifelong learning.

💻 Professional Endeavors

Resul Tuna has amassed a rich professional career spanning over two decades. His early roles as a Computer Teacher and Workshop Chief at Etimesgut Anadolu Kız Meslek Lisesi (2000–2007) laid the groundwork for his instructional expertise. In 2009, he joined Sinop University’s Vocational School as a Lecturer, where he continues to shape the next generation of technology professionals. His teaching portfolio includes programming fundamentals, object-oriented programming, and microprocessor systems, underscoring his diverse technical expertise.

📚 Contributions and Research Focus

Resul Tuna’s scholarly contributions reflect his dedication to advancing technology and education. His research includes innovative studies in artificial neural networks, optimization algorithms, and embedded systems. Notable works such as “Boosted Equilibrium Optimizer” and “Prediction of Performance and Emission in an SI Engine Using Artificial Neural Networks” have earned recognition in international journals. Tuna’s papers presented at scientific symposiums explore cutting-edge topics like mobile programming, robotics, and vocational education techniques.

🏆 Accolades and Recognition

Resul Tuna’s extensive publication record underscores his influence in academia and industry. His works have been featured in high-impact international journals and national conferences, establishing him as a thought leader in computational optimization and programming education. Tuna’s ability to merge theoretical insights with practical applications highlights his pivotal role in advancing engineering education and computational methodologies.

🌍 Impact and Influence

Through his teaching, research, and publications, Resul Tuna has made significant contributions to the fields of computer engineering and education. His innovative curriculum design and hands-on approaches in programming and electronics have empowered students to excel in a competitive technological landscape. His collaboration on international projects and interdisciplinary studies reflects a broader impact beyond academia, influencing industry standards and practices.

🔮 Legacy and Future Contributions

Resul Tuna’s legacy lies in his unwavering commitment to education, innovation, and research. As he continues his Ph.D. studies, he is poised to make groundbreaking advancements in optimization and embedded systems. His future endeavors promise to further enhance vocational education, bridge gaps between academic theory and industrial practice, and inspire a new generation of engineers and researchers.

 

Publications

  • 📜Boosted Equilibrium Optimizer Using New Adaptive Search and Update Strategies for Solving Global Optimization Problems
    Journal: Electronics
    Year: 2024
    Contributors: Resul Tuna, Yüksel Çelik, Oğuz Fındık
  • 📜Experimental Study and Prediction of Performance and Emission in an SI Engine Using Alternative Fuel with Artificial Neural Network
    Journal: International Journal of Automotive Engineering and Technologies
    Year: 2018
    Contributors: Mustafa Kemal Balki, Volkan Çavuş, İsmail Umut Duran, Resul Tuna, Cenk Sayin
  • 📜IMU ile Tarım Araçlarında Oturma Pozisyonunun Düzeltilmesi
    Journal: Düzce Üniversitesi Bilim ve Teknoloji Dergisi
    Year: 2018
    Contributors: İsmail Umut Duran, Volkan Çavuş, Resul Tuna
  • 📜Arduino Devreleri için Kod Üretme ve Veri İşleme Uygulaması Tasarımı
    Journal: Muş Alparslan Üniversitesi Fen Bilimleri Dergisi
    Year: 2017
    Contributors: Volkan Çavuş, Resul Tuna, İsmail Umut Duran
  • 📜Bilgisayar Kontrollü Termoelektrik Modüllü Soğuk ve Sıcak Terapi Cihazında Örnek Bir Deneye Ait Sonuçların NeuNet Programı ile Analizi
    Journal:  Analysis of the Results from a Sample Experiment on Computer-Controlled Thermoelectric Module Cold and Hot Therapy Device Through NeuNet Program
    Year: 2014
    Contributors: Resul Tuna, Volkan Çavuş, Celil Yavuz, Sezayi Yılmaz

 

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