Viorel Ordeanu | Medicine | Research Excellence Distinction Award

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Prof. Dr. Viorel Ordeanu | Medicine | Research Excellence Distinction Award

Professor at Titu Maiorescu University, Bucharest, Romania

With a career spanning over five decades, this researcher has made extraordinary contributions to medical, military, and pharmaceutical sciences. Currently a full professor and senior scientific researcher, he has held leadership positions in both academic and military research institutions. His expertise spans microbiology, infectious diseases, public health, and biodefense, marking him as a distinguished scholar in Romania and beyond.

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ORCID

Research Excellence Distinction Award

This candidate demonstrates exemplary achievement in research innovation, academic leadership, and multidisciplinary integration. His sustained contributions to microbiological sciences, particularly in the fields of pharmaceutical microbiology and medical protection against biological threats, are remarkable. He has authored over 230 scientific papers and 38 books or book chapters, led 23 major research projects (including 13 as director), and developed practical biodefense strategies adopted in institutional protocols. These accomplishments clearly position him as a strong and deserving nominee for the “Research Excellence Distinction Award”.

Education

The researcher holds a Doctor of Medicine (1971), and a Ph.D. in Medical Sciences (1983), from reputable Romanian institutions. Over time, he has accumulated academic qualifications including professorships, multiple certifications in clinical microbiology, and scientific ranks up to Researcher I. His training encompasses medical microbiology, epidemiology, internal medicine, hyperbaric medicine, and biochemistry, among others, showing an enduring commitment to continuous professional development.

Experience

His professional trajectory includes serving as a medical officer and laboratory head within military health services, eventually becoming Chief of Microbiology and later heading the Anti-Infectious Medical Protection Laboratory. He has been a professor at leading Romanian medical universities and a long-standing scientific researcher at the Cantacuzino Institute and other national research centers. His roles involved teaching, directing doctoral studies, supervising research grants, and authoring institutional manuals on biological protection and microbiology.

Research Interest

His primary research interests include pharmaceutical microbiology, antimicrobial resistance, infectious disease control, biodefense mechanisms, and the development of innovative decontamination solutions. He has focused particularly on protection against biological weapons, integrating clinical microbiology with national defense. His academic work bridges medicine and military applications, fostering advancements in public health resilience and emergency medical strategies.

Publications

He has published 57 ISI-indexed journal articles (41 as lead author) between 1999 and 2024, with notable journals such as Antibiotics-Basel (2024, 2023), Pharmaceuticals Basel (2023), Romanian Journal of Military Medicine (multiple entries from 2013–2022), and Revista Farmacia.

  • “Phyocgemical Screening and Antibacterial Activity…” in Antibiotics-Basel, 2024

  • “Antibacterial and Antibiofilm Effects of Essential Oils” in Antibiotics-Basel, 2023

  • “Medical Intervention in the Biological Attack with Bacillus anthracis” in Rom. J. Mil. Med., 2022

  • “COVID-19 Pandemic: A Global Statistical Interpretation” in Rom. J. Mil. Med., 2022

  • “Synthesis and Testing of Decontaminants Based on Quaternary Ammonium Compounds” in Revista de Chimie, 2015

Saba Inam | Mathematics | Best Researcher Award

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Dr. Saba Inam | Mathematics | Best Researcher Award

Lecturer at Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan

Dr. Saba Inam is a dedicated academician and researcher in the field of mathematics, with a strong emphasis on cryptography, image encryption, and machine learning. Currently serving as a lecturer, she has contributed extensively to the research ecosystem through her innovative projects, scholarly publications, and supervision of numerous theses at various levels. Her work bridges theoretical mathematics with modern digital security challenges.

Profile

Google Scholar | ORCID | Scopus

Best Researcher Award

Dr. Saba Inam is a highly suitable candidate for the “Best Researcher Award” owing to her consistent research excellence in cryptography, blockchain, and image encryption. Her work reflects a strong interdisciplinary approach, integrating mathematics with advanced technologies such as quantum encryption and AI. The volume, quality, and international impact of her publications, alongside her active engagement in funded projects and academic leadership, make her an exemplary choice for this recognition.

Education

Dr. Inam holds a Ph.D. in Mathematics from Capital University of Science and Technology (2019), an MS in Mathematics from COMSATS Institute of Information Technology (2007), and an M.Sc. in Mathematics from Quaid-i-Azam University (2005). Her educational background is marked by academic distinction and scholarships at each stage, underlining her early and continued dedication to the mathematical sciences.

Experience

Dr. Inam has been a Lecturer in Mathematics at Fatima Jinnah Women University since 2007, with leadership experience as the department Incharge from 2016 to 2018. Additionally, she served as a Research Associate at COMSATS Institute of Information Technology. She has taught courses at Ph.D., MPhil, and undergraduate levels and has supervised over 60 theses collectively across academic levels.

Research Interest

Her research interests include algebraic cryptography, cryptology, quantum encryption, image encryption, blockchain, IoT, deep learning, and fluid mechanics. She is particularly focused on developing secure and innovative encryption schemes for sensitive digital environments such as healthcare and satellite data transmission.

Publication

Dr. Saba Inam has published extensively in high-impact journals.

  • 2025: “Securing face images in UAV networks using chaos and DNA cryptography” – Scientific Reports.

  • 2025: “A novel image encryption scheme based on elliptic curves” – The European Physical Journal Plus.

  • 2025: “A Blockchain-Integrated Chaotic Fractal Encryption Scheme” – Scientific Reports.

  • 2025: “Blockchain-driven medical image encryption using chaotic tent map” – Scientific Reports.

Mohammad Reza Samani | Patient Bed Assignment | Best Researcher Award

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Assist. Prof. Dr. Mohammad Reza Samani | Patient Bed Assignment | Best Researcher Award

Professor at Tarbiat Modares University, Iran

Dr. Mohammad Reza Ghatreh Samani is a distinguished academic and researcher in the field of industrial engineering, currently serving as an Assistant Professor at Tarbiat Modares University, Iran. His research blends healthcare systems optimization, uncertainty modeling, and sustainable logistics, particularly in designing robust decision-support systems under crisis conditions. He has garnered national recognition and awards for his academic excellence and innovative contributions.

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Google Scholar

Best Researcher Award

Dr. Samani is a highly deserving candidate for the Best Researcher Award due to his groundbreaking work in resilient healthcare networks, blood supply chain optimization, and pandemic-response strategies. His research impact is evidenced by a strong portfolio of Q1 journal publications, interdisciplinary collaboration, and continuous recognition as the best researcher at his institution over multiple years. His work not only addresses complex operational problems but also contributes to societal resilience and public health improvement.

Education

Dr. Samani earned his Ph.D. and M.Sc. in Industrial Engineering from Iran University of Science and Technology, with both theses focusing on supply chain modeling under uncertainty. He completed his undergraduate studies at Sharif University of Technology. His academic path has consistently focused on mathematical modeling, network optimization, and real-world applicability in industrial and healthcare systems.

Experience

He brings over a decade of experience in teaching and research, having served as a lecturer and teaching assistant in various optimization and operations research courses. His academic journey includes extensive involvement in advanced operations research, transportation modeling, and healthcare logistics, reflecting both breadth and depth in his domain.

Research Interest

Dr. Samani’s primary research interests lie in healthcare systems engineering, robust and stochastic optimization, supply chain resiliency, and sustainable logistics. He specializes in uncertainty modeling and has developed innovative mathematical approaches to improve decision-making in blood transfusion networks, vaccine distribution, and emergency logistics planning.

Publication

Dr. Samani has published more than 30 peer-reviewed articles, primarily in Q1 journals.

  • 2021 – Transportation Research Part E: “A reactive phase against disruptions for designing a proactive platelet supply network”

  • 2023 – European Journal of Operational Research: “Design of control strategies to help prevent the spread of COVID-19 pandemic”

  • 2023 – Expert Systems With Applications: “Collaborative activities for matching supply and demand in platelet network”

  • 2024 – Computers and Industrial Engineering: “Dynamic optimization of blood collection strategies under uncertainty”

  • 2023 – International Journal of Production Research: “Novel control strategies to prevent vaccine shortages”

  • 2021 – Applied Soft Computing: “Capacity sharing mechanism in blood collection during COVID-19”

  • 2023 – Environment, Development and Sustainability: “Optimizing bioethanol supply chain under risks”
    These publications reflect his expertise in health logistics, disaster response, and sustainable supply chain design.

Shaohua Wu | AI for Science | Best Researcher Award

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Assoc. Prof. Dr. Shaohua Wu | AI for Science | Best Researcher Award

Associate Professor at Dalian University of Technology, China

Dr. Shaohua Wu is a leading expert in reactive flow simulations and multiphase thermofluid systems, serving as an Associate Professor at the Dalian University of Technology. His academic journey spans globally, with research and teaching stints in China, Singapore, and the UK. With over a decade of experience in high-fidelity computational modeling and AI-driven simulations, he has established a significant footprint in both fundamental research and industrial applications in energy and combustion systems.

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Scopus | ORCID | Google Scholar

Best Researcher Award

Dr. Wu is a highly deserving candidate for the “Best Researcher Award” due to his significant contributions to population balance modeling, soot dynamics, and AI-integrated combustion simulations. His innovative methodologies and high-impact publications have enhanced the understanding and design of clean energy systems. Moreover, his leadership in high-profile national and international projects demonstrates his continued influence and excellence in advancing research for energy sustainability and environmental impact reduction.

Education

Dr. Wu completed his Ph.D. in Thermodynamics from the National University of Singapore in 2018 with joint training at the University of Cambridge. He earned his M.A. and B.S. from Tianjin University in Power Machinery and Thermal Energy Engineering, respectively. His cross-institutional and interdisciplinary education has laid a robust foundation for his advanced simulation and modeling expertise in energy systems.

Experience

Currently an Associate Professor and Ph.D. supervisor, Dr. Wu leads a research group on multiphase reactive flows at Dalian University of Technology. He has served as a Research Fellow at the National University of Singapore and as a Research Associate at the University of Cambridge. His work spans industrial collaborations, governmental funded research, and innovative AI applications in energy systems.

Research Interest

Dr. Wu’s research centers around computational fluid dynamics for multiphase and reactive flow systems, particularly in propulsion and power generation. He integrates population balance modeling, chemical kinetics, and AI-enhanced simulation tools to investigate complex particulate and soot dynamics. His current focus includes machine learning-driven flow simulations, chemical mechanism reduction, and thermal system optimization.

Publications

Dr. Wu has authored numerous high-impact journal articles. Key recent publications include:

  • “A tri-variate moment projection method for multi-dimensional particle population balance dynamics,” Journal of Aerosol Science, 2024.

  • “An efficient data-driven approach for reactivity-controlled compression ignition engine,” International Journal of Hydrogen Energy, 2024.

  • “Analysis of soot formation in diesel engines fueled by biofuel blends,” Fuel, 2024.

  • “Efficient simulation of soot particle processes in diesel engines,” Applied Energy, 2020.

  • “Development of a compact kinetic mechanism for furan biofuels combustion,” Fuel, 2021.
    These works reflect his blend of deep theoretical insight and practical application, especially in clean combustion and particle modeling.

Soocheol Kim | Optical Sensor | Best Researcher Award

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Mr. Soocheol Kim | Optical Sensor | Best Researcher Award

Senior Researcher at Electronics and Telecommunications Research Institute, South Korea

Soocheol Kim is a dedicated senior researcher at the Electronics and Telecommunications Research Institute (ETRI), actively contributing to the fields of optical imaging and sensor technologies. His academic background in mechanical engineering and professional experience reflect a solid commitment to advancing next-generation imaging systems. His work is distinguished by innovative contributions to practical applications across sectors such as safety, healthcare, and industrial monitoring.

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Scopus

Best Researcher Award

Soocheol Kim’s innovative contributions and consistent research output make him a compelling candidate for the “Best Researcher Award.” His role in developing imaging surveillance equipment capable of functioning under adverse weather conditions and his strong publication, patent, and industry project record demonstrate his excellence in translating research into impactful solutions. His achievements align with the award’s intent to recognize outstanding researchers transforming scientific knowledge into societal benefit.

Education

He earned his Bachelor of Science in Mechanical Engineering from Korea Aerospace University in 2013. He pursued his postgraduate education at Yonsei University, receiving his M.S. in 2015 and Ph.D. in 2020, both in Mechanical Engineering. His academic foundation supports his advanced research in optical technologies and systems.

Experience

Since 2020, Soocheol Kim has served as a Senior Researcher at ETRI. He has completed nine major research projects and is currently engaged in one. He has also led five industry-sponsored consultancy projects. His strong portfolio includes contributions to imaging technologies for security and surveillance applications, particularly in detecting aerial threats under difficult environmental conditions.

Research Interest

His primary research focus lies in optical imaging technologies and sensor development. This includes bio-microscopy imaging, biosensors, and fire detection systems, with special attention to innovations that improve performance in real-world, critical applications such as public safety, health diagnostics, and environmental monitoring.

Publication

  • “LED Array-Based Multi-Angle Light Scattering for Aspirating Smoke Detection and Classification” July 2025

  • “Design and Implementation of Multi-Dimensional Convergence Information Platform Based on Spatial and Disaster Safety Information” March 2024

  • “Multiple-Scattering-Based Optical Simulation for Analyzing Response Characteristics of Photoelectric Smoke Detectors” December 2023

  • “Time Series Classification with Multiple Wavelength Scattering Signals for Nuisance Alarm Mitigation” December 2023

  • “Smoke Particle-Source Prediction Model Based on Multiple Optical Wavelengths Using Deep Learning” June 2023

  • “Spectrometer-Based Wavelength Interrogation SPR Imaging via Hadamard Transform” February 2023

Esra Amoura | Craniofacial Reconstructive Surgery | Best Researcher Award

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Dr. Esra Amoura | Craniofacial Reconstructive Surgery | Best Researcher Award

Dental Core Trainee OMFS/ Clinical Lecturer in Oral Medicine at Sheffield Teaching Hospital, United Kingdom

Dr. Esra B. Amoura is an accomplished academic and clinical professional in the field of oral and maxillofacial medicine, combining her expertise in dentistry, diagnostic pathology, and oncology research. Currently serving as a Clinical Lecturer in Oral Medicine at the University of Manchester, she has made significant contributions to the understanding of head and neck cancers, specifically mucoepidermoid carcinoma. Her career reflects a unique integration of clinical care, research excellence, and academic mentorship.

Profile

ORCID

Education

Dr. Amoura holds a Ph.D. in Oral Pathology from the University of Sheffield (2021), where her research explored the expression and function of the CRTC1-MAML2 fusion protein in mucoepidermoid carcinoma. She completed a Master of Medical Science in Diagnostic Oral Pathology in 2014 and earned her Bachelor of Dental Surgery with distinction from the University of Tripoli in 2006. Her academic journey is marked by excellence and dedication to advancing oral cancer research.

Experience

With a progressive trajectory from a demonstrator in Libya to her current lecturer position in the UK, Dr. Amoura has accumulated extensive clinical and academic experience. She served as a Research Associate at the University of Sheffield and held several Dental Core Training roles across Oral Medicine and Maxillofacial Surgery units in Sheffield. Her teaching portfolio spans both undergraduate and postgraduate levels, covering clinical teaching, practical demonstrations, and module lectures across various dental disciplines.

Research Interest

Dr. Amoura’s research focuses on molecular oncology in head and neck cancers, particularly mucoepidermoid carcinoma. Her investigations emphasize the molecular mechanisms involving the CRTC1-MAML2 translocation and its role in tumor biology. She is also interested in clinical case presentations related to oral pathology, oral medicine, and reconstructive oral surgery, often linking translational research with patient care.

Publication

Dr. Amoura’s research output includes impactful publications that reflect her commitment to advancing scientific knowledge:

  1. 2021 – “In Situ Detection of the CRTC1-MAML2 Translocation Expression in Mucoepidermoid Carcinoma”, published abstract (Amoura et al.).

  2. 2021 – “An Investigation into the Expression and the Role of the CRTC1-MAML2 Fusion Protein in MEC”, Ph.D. thesis, University of Sheffield.

  3. 2020 – “TrkB-targeted therapy for Mucoepidermoid Carcinoma”, co-authored in collaboration with international researchers (Wagner et al.).

  4. 2023 – “Submandibular Foregut Duplication Cyst: A case report”, BAOMS Annual Scientific Meeting, London.

  5. 2023 – “Fibula Free Flap Vascular Pedicle Calcification”, presented at BAOMS Annual Scientific Meeting, London.

These publications underscore her international collaborative efforts and contributions to oral cancer biology and clinical pathology.

Kamal Sharma | Civil Engineering | Best Researcher Award

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Dr. Kamal Sharma | Civil Engineering | Best Researcher Award

Director at Lord-Tech Datus Solutions Pvt. Ltd., India

Dr. Kamal Sharma is an accomplished researcher in the field of civil engineering with a focus on construction project optimization. With a strong academic foundation and four years of research experience, his contributions blend advanced optimization algorithms with sustainable construction management strategies. He is recognized for integrating AI/ML methods into civil engineering solutions and publishing high-impact research in reputed journals.

🎓 Profile

Scopus

ORCID

🏆 Best Researcher Award

Dr. Kamal Sharma is highly suitable for the “Best Researcher Award” due to his consistent academic excellence, deep focus on applied research in civil and construction engineering, and his contributions to global sustainable development goals through advanced optimization models. His dedication, innovation, and impactful research make him a deserving candidate.

📚 Education

Dr. Sharma earned his Ph.D. in Construction Technology and Management from MITS, Gwalior (2024), where he developed a robust scheduling model using metaheuristic approaches. He previously completed his M.Tech (2019) in the same field and a B.Tech (2017) in Civil Engineering, building a solid academic and technical base for his research career.

🧑‍🔬 Experience

He has accumulated four years of dedicated research experience at MITS, Gwalior, where he served as a research scholar and teaching assistant. His teaching portfolio includes subjects like Project Management, Optimization Algorithms, and Multi-Criteria Decision Methods, reflecting his commitment to academic excellence.

🔬 Research Interest

Dr. Sharma’s research interests lie in construction project optimization, time-cost-quality trade-off models, and sustainable infrastructure planning. His work integrates AI-based models such as NSGA-III, AHP, and MOPSO for decision-making in construction management, aligning with sustainable development goals.

📄 Publication

He has authored over 15 journal articles, including three SCI and ten SCOPUS-indexed papers. His research spans multi-objective optimization in construction projects, environmental sustainability, and smart healthcare systems. His h-index is 11 with over 500 citations, demonstrating his impactful contributions.

  • 2025 – “Investigating the impact of smart healthcare technologies on patient care using SEM-ANN,” Discov Public Health.

  • 2024 – “Optimizing construction time, cost, and quality using AHP-NSGA-III,” Asian J Civil Eng.

  • 2023 – “Statistical Analysis of Delay-Causing Factors in Highway Projects,” Transportation Research Record.

  • 2021 – “Multi-Objective Scheduling Model using NSGA III,” Journal of The Institution of Engineers (India): Series A.

  • 2020 – “NSGA-III model for time-cost-quality-safety trade-off,” International Journal of Construction Management.

Haiqiang Ma | Quantum Information | Best Researcher Award

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Prof. Dr. Haiqiang Ma | Quantum Information | Best Researcher Award

Beijing University of Posts and Telecommunications, China

Professor Haiqiang Ma is a distinguished academic and researcher, serving as a professor and doctoral supervisor in the field of quantum science. He is a prominent member of the “Quantum Information and Quantum Optics” research group and has been contributing to scientific innovation and teaching at the School of Physical Science and Technology, Beijing University of Posts and Telecommunications since 2007.

🧑‍🔬  Profile

Scopus

🏆 Best Researcher Award

With an outstanding record in quantum research, significant international publications, and contributions to technological innovation including 10 invention patents (8 granted), Professor Haiqiang Ma is highly suitable for the Best Researcher Award. His sustained academic excellence and scientific leadership make him a deserving candidate.

🎓 Education

Professor Ma earned his doctorate in March 2007 from the prestigious Institute of Physics, Chinese Academy of Sciences. His academic foundation is rooted in rigorous research training and theoretical depth in physics and quantum optics.

💼 Experience

With over 17 years of academic experience, Professor Ma has held a long-term faculty position and briefly visited the University of Waterloo in Canada (Dec 2019–Mar 2020). His teaching, mentoring, and research supervision reflect his commitment to the development of future scientists and the global academic community.

🔬 Research Interest

His research primarily revolves around quantum information science, quantum optics, and photonic systems. His work contributes to the foundational and applied aspects of quantum communication and computation.

📚 Publication

Professor Ma has authored more than 100 peer-reviewed SCI papers in top-tier international journals, including Optica, Physical Review A, Optics Express, Optics Letters, Journal of the Optical Society of America B, and Applied Optics.
📝 publication:

“Bright Heralded Single-Photon Source Saturating Theoretical Single-photon Purity”

“Reference-Frame-Independent Asynchronous Measurement-Device-Independent Quantum Key Distribution”

“Finite-key interfering-or-not-interfering quantum key distribution without intensity modulation”

Milad Shemshaki | Google Ads | Best Academic Researcher Award

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Mr. Milad Shemshaki | Google Ads | Best Academic Researcher Award

Graduate at University of East London, United Kingdom

Milad Shemshaki is a senior business administration professional with more than 9 years of leadership experience across diverse sectors, including marketing, project management, and strategic planning. He has a particular passion for integrating artificial intelligence with business innovation, offering transformative solutions in digital marketing and market behavior analytics. His profile balances academic rigor and practical insight, making him a standout figure in applied business research.

👤 Profile

Google Scholar

🎯 Best Academic Researcher Award

Milad Shemshaki demonstrates a strong academic foundation in Business Administration with a clear research trajectory that aligns with the evolving demands of academia and industry. His interdisciplinary expertise in marketing, artificial intelligence, consumer behavior, and business strategy uniquely positions him as a top contender for the “Best Academic Researcher Award.” His innovative mindset, academic publication record, and commitment to applying data-driven insights reflect outstanding merit in the academic domain.

🎓 Education

Milad holds a Master’s in Business Administration from the University of East London (2024), demonstrating advanced training in business analytics and strategic marketing. He also earned a Bachelor’s degree in Airport Rescue and Fire Fighting from the University of Science and Technology of Tehran (2019), and a Bachelor’s in Business Administration from Islamic Azad University Tehran Central Branch (2013). This diverse educational journey underpins his holistic approach to business problem-solving.

💼 Experience

Milad has held multiple high-impact roles at Fargol Company, including Campaign Manager, Strategy & Marketing Manager, Financial Manager, and Head of Market Research. In each role, he applied data analytics and strategic planning to optimize operations, enhance engagement, and drive measurable growth. His tenure as Human Resources Manager at the Iran Red Crescent further highlights his interpersonal and organizational leadership capabilities.

🔬 Research Interest

Milad’s core research interests include AI applications in marketing, data mining in consumer behavior, ethical implications of AI in personalization, and business process re-engineering. His work often focuses on the intersection of digital transformation and consumer-centric marketing, exploring how data-driven strategies can reshape business models and enhance customer experience.

📚 Publication

Milad Shemshaki has contributed multiple peer-reviewed journal articles across domains such as digital marketing, AI ethics, and data intelligence. Below are his key publications:

  • 2024 – The Relationship Between Campaign Quality and Performance in Google Ads: A Systematic Review – Journal of Marketing Analytic

  • 2024 – Exploring the Ethical Implications of AI-Powered Personalization in Digital Marketing – Journal of Data Intelligence

  • 2024 – Investigating the Effect of the Mediating Role of Process Re-engineering and Total Quality Management on the Business Value of Information Technology – Journal of Power System and Technology

  • 2024 – Examining Factors Affecting Consumer Behaviour by Considering the Role of Personality and Behavioural Characteristics – Journal of Power System and Technology

  • 2024 – Application of Data Mining Technique for Customer Purchase Behavior via Extended RFM Model with Focus on BCG Matrix from a Data Set of Online Retailing – Journal of Infrastructure, Policy and Development

He has also authored two books:
📘 Data-Driven Digital Marketing: The Art and Science of Intelligent Decision-Making (ISBN: 978-622-380-700-8)
📗 The Benefits of Using Artificial Intelligence for Business Success (ISBN: 978-622-380-663-6)

Dimitrios Spanos | Trustworthy AI | Best Researcher Award

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Mr. Dimitrios Spanos | Trustworthy AI | Best Researcher Award

PhD Student at Aristotle University of Thessaloniki, Greece

A passionate and forward-thinking AI researcher, he has steadily built a solid foundation in trustworthy intelligent systems through rigorous academic training and dynamic research involvement. With hands-on project experience across several EU-funded research initiatives, his focus remains on socially responsible and high-impact technological advancement. 🌍🤖

👤 Profile

ORCID

✅ Best Researcher Award

Dimitrios Spanos stands out as a highly promising academic researcher whose contributions to deep learning, trustworthy AI systems, and uncertainty estimation demonstrate a remarkable depth of understanding and originality. His consistent engagement with advanced AI methodologies and commitment to scientific impact make him a deserving nominee for the Best Researcher Award. 🏆

🎓 Education

He is currently pursuing a Ph.D. in Computer Science at the Aristotle University of Thessaloniki, specializing in Deep Learning Methodologies for Trustworthy Intelligent Systems. He previously earned a Master of Engineering in Electrical & Computer Engineering from the same institution with a strong academic record and a thesis in multi-view semi-supervised learning for image classification. 🎓📘

💼 Experience

He has held multiple research roles at the Artificial Intelligence & Information Analysis Lab, engaging in significant projects such as DeepLET, OpenDR, DeepFinance, and AMBROSIA, which deal with lightweight AI, autonomous perception, multimodal portfolio management, and biomedical fairness, respectively. Additionally, he gained early R&D experience through an internship at CERTH–ITI working on biometric detection systems. 🔬📊

🔬 Research Interest

His core research interests revolve around deep learning, uncertainty estimation, multimodal fusion, photonic neural networks, and trustworthy AI. He focuses on bridging the gap between advanced computational intelligence and real-world societal challenges, such as biomedical fairness and financial decision systems. ⚙️🧠💡

📝 Publication

Journal Article (2025):
D. Spanos, N. Passalis, A. Tefas — “Leveraging Subclass Learning for Improving Uncertainty Estimation in Deep Learning” — Neurocomputing, 2025

Conference Papers (2025):

  1. D. Spanos, N. Passalis, A. Tefas — “Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation” — 8th IEEE ICPS, 2025

  2. D. Spanos et al. — “Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks” — 8th IEEE ICPS, 2025

📚 His publications reflect an emphasis on reliable and responsible AI, combining theoretical innovation with domain application.

🏅 Honors & Awards

He was awarded a prestigious scholarship from the Hellenic Foundation for Research & Innovation (H.F.R.I.) in 2023, recognizing the value and future potential of his research in artificial intelligence and computational science. 🥇🎖️

📌 Conclusion

In light of his focused research trajectory, impactful publications, dedication to academic mentoring, and contributions to cutting-edge AI applications, Dimitrios Spanos exemplifies the qualities of an outstanding academic researcher. His record speaks of innovation, commitment, and the capability to lead transformative changes in science and society. 🌟📈