Dugki Min | Machine Learning and AI Applications | Best Researcher Award

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Prof Dr. Dugki Min | Machine Learning and AI Applications | Best Researcher Award

Konkuk University | South Korea

Prof. Dr. Dugki Min is a distinguished academic and thought leader in the field of computer science and artificial intelligence. Currently serving as a Full Professor at the Department of Computer Science and Engineering, College of Engineering, and Department Head of Artificial Intelligence at the General Graduate School of Konkuk University, Seoul, South Korea, he has dedicated nearly three decades to education, research, and innovation. His multidisciplinary expertise, encompassing software engineering, intelligent systems, distributed computing, and AI-based smart city applications, positions him as a pioneer in shaping Korea’s digital transformation and global technology collaborations.

Professional Profiles

SCOPUS

ORCID

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Education

Prof. Min holds a Ph.D. and M.S. in Computer Science from Michigan State University, USA, where he developed a strong foundation in systems architecture and distributed computing. He completed his undergraduate studies in Industrial Engineering at Korea University. His education spans both technical and applied domains, enabling a balanced approach to both theoretical advancements and practical innovations.

Experience

Since joining Konkuk University in 1995, Prof. Min has held several leadership roles, including Research Director of the Distributed Multimedia Lab and Department Head for multiple programs in both the College of Engineering and the General Graduate School. His international academic footprint includes appointments as Visiting Professor at Pacific State University, USA, and Vanderbilt University. Beyond academia, he has significantly influenced industry practices through advisory roles at Samsung Electronics, national IT committees, and standardization bodies such as OASIS and the National Information Society Agency. His longstanding contributions to Korea’s software and simulation societies have solidified his reputation as a key figure in technological policymaking and industry collaboration.

Research Interest

Prof. Min’s research focuses on secure, intelligent, and scalable computing systems. His work spans artificial intelligence, distributed multimedia systems, digital twin technologies, edge-cloud computing, disaster-resilient smart cities, and cyber-physical systems. He leads major government-funded projects including AI-based public safety frameworks and digital twin applications for smart urban air mobility (UAM). His current projects emphasize the convergence of AI, bio-inspired frameworks, and real-time urban analytics to develop resilient, adaptive systems for modern cities. He has also delved into IPFS, blockchain, and biometric authentication, driving forward novel approaches in cybersecurity and information infrastructure.

Awards and Recognition

Prof. Min’s contributions have been recognized through numerous research grants and leadership roles in prestigious international conferences, including the International Conference on IT Promotion in Asia and the International Semantic Web Conference. His role as Program Chair and Steering Committee Member across multiple academic and government platforms highlights his global impact. Additionally, his collaborations with government ministries such as the Ministry of Science and ICT have resulted in pivotal national R&D programs, affirming his status as a trusted thought leader in AI and future mobility solutions.

Publications

Enhancing data harvesting systems: Performance quantification of Cloud–Edge-sensor networks using queueing theory

Authors: Jose Wanderlei Rocha, Eder Gomes, Vandirleya Barbosa, Arthur Sabino, Luiz Nelson Lima, Gustavo Callou, Francisco Airton Silva, Eunmi Choi, Tuan Anh Nguyen, Dugki Min et al.
Journal: ICT Express
Year: 2025

DDS-P: Stochastic models based performance of IoT disaster detection systems across multiple geographic areas

Authors: Israel Araújo, Luis Guilherme Silva, Carlos Brito, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen, Erico Leão, Francisco A. Silva
Journal: ICT Express
Year: 2025

Transactional dynamics in hyperledger fabric: A stochastic modeling and performance evaluation of permissioned blockchains

Authors: Carlos Melo, Glauber Gonçalves, Francisco Airton Silva, Iure Fé, Ericksulino Moura, André Soares, Eunmi Choi, Dugki Min, Jae-Woo Lee, Tuan Anh Nguyen
Journal: ICT Express
Year: 2025

Multi-head Fusion-based Actor-Critic Deep Reinforcement Learning with Memory Contextualisation for End-to-End Autonomous Navigation

Authors: Seunghyeop Nam, Tuan Anh Nguyen, Eunmi Choi, Dugki Min
Journal: TechRxiv (Preprint)
Year: 2025

Aerial computing: Enhancing mobile cloud computing with unmanned aerial vehicles as data bridges—A Markov chain based dependability quantification

Authors: Francisco A. Silva, Iure Fé, Carlos Brito, G. Araujo, L. Feitosa, Tuan Anh Nguyen, K. Jeon, J.-W. Lee, Dugki Min, Eunmi Choi
Journal: ICT Express
Year: 2024

Deep learning methods for high-level control using object tracking

Authors: Kanmani P., Yuvaraj N., Karthic S., Sri Preethaa K.R., Dugki Min
Journal: Book Chapter in Urban Air Mobility: Intelligent, Safe and Sustainable Systems for Future Transportation
Year: 2024

Efficient Strategies for Unmanned Aerial Vehicle Flights: Analyzing Battery Life and Operational Performance in Delivery Services using Stochastic Models

Authors: Francisco A. Silva, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Paulo Rego, Luciano F. Bittencourt, J. Lee, Dugki Min, Tuan Anh Nguyen
Journal: IEEE Access
Year: 2024

Energy Consumption in Microservices Architectures: A Systematic Literature Review

Authors: Gabriel Araújo, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Carlos Brito, Iure Fé, Paulo Rego, Eunmi Choi, Dugki Min, Tuan Anh Nguyen et al.
Journal: IEEE Access
Year: 2024

Conclusion

Prof. Dr. Dugki Min exemplifies academic excellence, innovative research, and impactful leadership in computer science and artificial intelligence. His ability to merge theory with application has led to the creation of intelligent systems that address real-world challenges—from traffic prediction and public safety to accessibility and secure computing. With a prolific record of publications, patents, and technology transfer initiatives, he continues to push the boundaries of smart system design and AI integration in urban and industrial ecosystems. His forward-thinking vision, combined with strong collaboration across academia, government, and industry, ensures his enduring influence in Korea and beyond.

Jin Liu | Algorithm Development | Best Researcher Award

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Dr. Jin Liu | Algorithm Development | Best Researcher Award

Dr. Jin Liu | Algorithm Development – University of Leeds | United Kingdom

Dr. Jin Liu is a dedicated and forward-thinking researcher in the field of railway traffic management and intelligent transportation systems. Currently serving as a Research Fellow at the Institute for Transport Studies, University of Leeds, Dr. Liu has established himself as a key contributor to the development of next-generation transport technologies. His work bridges theory and practice, especially in areas of train rescheduling, real-time traffic control, and AI-driven optimisation methods for complex railway systems. With a solid foundation in electrical engineering and deep expertise in rail operation control systems, Dr. Liu continues to push boundaries in transport innovation through multi-agent systems, digital twins, and AI applications.

Professional Profile

SCOPUS

Education

Dr. Liu began his academic journey with a Bachelor of Engineering in Electrical Engineering and Automation from the Harbin Institute of Technology, China. He then pursued his Master’s degree in Electronic and Electrical Engineering at the University of Birmingham, UK, where he completed a significant final-year project on onboard wheel slip protection systems for high-speed rail. Building on his growing interest in rail systems, Dr. Liu remained at Birmingham to complete his Ph.D., focusing on a multi-agent-based approach for resolving real-time train rescheduling problems in large-scale railway networks. His doctoral work laid the groundwork for much of his subsequent research on optimising railway traffic management using intelligent algorithms.

Professional Experience

Dr. Liu’s academic career commenced at Newcastle University as a Research Assistant and later as a Research Associate in the School of Engineering. He transitioned to the University of Leeds in March 2022, where he now contributes to multiple EU and UK-funded transportation projects. His role in these initiatives often involves the development of advanced algorithms, decision-support tools, and data models for improving operational efficiency in rail and road transport. Dr. Liu also provides leadership in technical project deliverables, industrial collaboration, and conference participation. He has built a reputation for integrating academic research with real-world applications, especially in projects related to electric vehicles, nano-emission tracking, and rail timetable optimisation.

Research Interests

Dr. Liu’s research revolves around modelling, analysis, and optimisation of rail traffic operations, including both passenger and freight services. He is particularly interested in developing energy-efficient train operations, train speed profile optimisation, and multi-agent-based modelling for traffic management. His algorithmic expertise covers both exact methods and meta-heuristic approaches, and he is deeply engaged in applying artificial intelligence—especially reinforcement learning—to real-world transportation challenges. Furthermore, his research encompasses railway system requirements analysis, focusing on RAM (Reliability, Availability, Maintainability), safety and security standards, and the verification and validation of novel railway traffic management applications.

Awards and Professional Engagements

Dr. Liu’s contributions to transport research have been recognised with several prestigious awards and professional memberships. Notably, he is the recipient of the Michael Beverley Innovation Fellowship, the International Researcher Mobility Fund, and has served as a guest speaker at the Birmingham Decarbonisation Summer School. His academic impact is evidenced by his selection as a Program Committee Member for the AI4RAILS 2023 conference and as a session chair at the IEEE ITSC 2023. He also plays a significant role in collaborative transportation initiatives, serving as the Early Career Researcher representative for the Network for Innovative Sustainable Transportation Co-Simulation. Furthermore, his work has been acknowledged among the top ten most downloaded papers of 2023 in his field.

Dr. Liu is an Associate Fellow of the UK’s Higher Education Academy and maintains an active publishing profile, with his research appearing in prestigious journals such as Applied Sciences, IET Intelligent Transport Systems, and Journal of Rail Transport Planning & Management. His research output includes notable work on reinforcement learning applications in train scheduling, system validation in virtual environments, and the assessment of railway operation impacts under hazardous conditions. Through his ongoing projects with European and UK stakeholders—such as Shift2Rail, Network Rail, and the EPSRC—Dr. Liu continues to contribute meaningfully to shaping the future of sustainable, intelligent, and resilient transportation systems.

Publications

A Multi-agent Based Approach for Railway Traffic Management Problems

Authors: J. Liu, L. Chen, C. Roberts, Z. Li, T. Wen
Journal/Conference: 2018 International Conference on Intelligent Rail Transportation (ICIRT)
Year: 2019

Algorithm and peer-to-peer negotiation strategies for train dispatching problems in railway bottleneck sections

Authors: J. Liu, L. Chen, C. Roberts, G. Nicholson, B. Ai
Journal: IET Intelligent Transport Systems
Year: 2019

Use cases for obstacle detection and track intrusion detection systems in the context of new generation of railway traffic management systems

Authors: P. Hyde, C. Ulianov, J. Liu, M. Banic, M. Simonovic, D. Ristic-Durrant
Journal: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Year: 2021

Novel approach for validation of innovative modules for railway traffic management systems in a virtual environment

Authors: J. Liu, C. Ulianov, P. Hyde, A. L. Ruscelli, G. Cecchetti
Journal: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Year: 2022

Formalization and Processing of Data Requirements for the Development of Next Generation Railway Traffic Management Systems

Authors: A. Magnien, G. Cecchetti, A. L. Ruscelli, P. Hyde, J. Liu, S. Wegele
Journal: Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification (Book/Conference Proceedings)
Year: 2022

Shujian Gao | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Shujian Gao | Data Analysis | Best Researcher Award

Ocean University of China | China

PUBLICATION PROFILE

Scopus

🔰INTRODUCTION

ASSOCIATE PROFESSOR DR. SHUJIAN GAO is a dedicated academic and researcher in the field of Ocean Engineering, currently serving as an Associate Professor at the College of Engineering, Ocean University of China. With a passion for advancing offshore engineering through data-driven methods and cutting-edge technologies, Dr. Gao has contributed significantly to both research and education in the marine and oceanic domain.

🎓 EARLY ACADEMIC PURSUITS

DR. GAO BEGAN HIS JOURNEY in academia with an intensive doctoral program at Ocean University of China, where he pursued a Ph.D. in Ocean Engineering from 2018 to 2022. During this time, he honed his expertise in the dynamic behavior of floating structures and laid the foundation for his future contributions in offshore engineering systems and machine learning applications.

💼 PROFESSIONAL ENDEAVORS

FOLLOWING THE COMPLETION of his Ph.D., Dr. Gao continued his career at the Ocean University of China, taking on the role of Lecturer from 2022 to 2024. His dedication and innovative research earned him a promotion in 2024 to Associate Professor, marking a new phase in his academic leadership and mentorship within the university’s engineering faculty.

🧠 CONTRIBUTIONS AND RESEARCH FOCUS

DR. GAO’S RESEARCH INTERESTS span a rich blend of engineering and modern computational techniques. His key focus areas include:

  • Machine learning applications for offshore wind turbines,

  • Motion response monitoring and analysis for deep-sea floating structures, and

  • Dynamic coupling analysis methods and the development of digital twins for offshore structures.
    These interests reflect a strong commitment to enhancing the sustainability, reliability, and intelligence of marine systems using modern data and AI-driven methods.

🌍 IMPACT AND INFLUENCE

DR. GAO’S INFLUENCE extends beyond research publications into the broader academic community. Since 2022, he has served on the Editorial Board of Frontiers in Sustainable Resource Management and joined the Early Career Editorial Board of Marine Engineering Equipment and Technology in 2023. His reviewer role for prestigious journals—including Marine Structures, Ocean Engineering, IEEE Access, and Nonlinear Dynamics—reflects his respected standing among peers in the global research arena.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

DR. GAO HAS AUTHORED impactful research papers in top-tier journals. Selected recent publications include:

  1. A method for reconstructing dynamic displacement of floating structures (Communications Engineering, 2025).

  2. Nonlinear effects in floating structure motion responses (Ocean Engineering, 2024).

  3. Dynamic response decomposition for floating structures (Ocean Engineering, 2024).

  4. Field data analysis of nonlinearity in offshore wind turbines (Applied Ocean Research, 2024).
    These works emphasize practical innovations and theoretical advancements in ocean structure behavior analysis, positioning him as a key thought leader in the field.

🏅 HONORS & AWARDS

WHILE SPECIFIC AWARDS were not listed, Dr. Gao’s rapid rise from Ph.D. graduate to Associate Professor and his selection for editorial boards and peer-review roles speak volumes about his reputation and recognition in the academic and engineering communities.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

DR. GAO’S WORK is poised to shape the future of offshore engineering. His interdisciplinary approach—merging AI, sensor data, and marine engineering mechanics—lays the groundwork for next-generation sustainable and resilient offshore structures. As a mentor, editor, and researcher, his continued influence will extend across academia, industry, and policy sectors tackling the challenges of ocean sustainability and renewable energy.

📝 FINAL NOTE

DR. SHUJIAN GAO EMBODIES the spirit of innovation and academic excellence in ocean engineering. From machine learning applications to structural health monitoring of offshore platforms, his dedication continues to inspire students, collaborators, and global researchers. His journey illustrates the evolving nature of marine technology and the critical role of young scholars in navigating the oceans of tomorrow.

📚 TOP NOTES PUBLICATIONS 

Separation and Quantitative Evaluation for the Nonlinear Effects in the Motion Response of Floating Structures

  • Authors: Shujian Gao, Guoning Feng, Dianzi Liu, Fushun Liu

  • Journal: Ocean Engineering

  • Year: 2024

Investigation to the Nonlinearity Evolution of Offshore Wind Turbines Using Field Data: Application to a 4 MW Monopile Offshore Wind Turbine

  • Authors: Shujian Gao, Guoning Feng, Fushun Liu

  • Journal: Applied Ocean Research

  • Year: 2024

Research on Non-Stationary Characteristic Test and Decomposition for Dynamic Response of Floating Structures

  • Authors: Shujian Gao, Fushun Liu

  • Journal: Ocean Engineering

  • Year: 2024

A Motion Tracking Approach to Position Marine Floating Structures Based on Measured Acceleration and Angular Velocity

  • Authors: Fushun Liu, Shujian Gao, Yong Liu, Dianzi Liu

  • Journal: Ocean Engineering

  • Year: 2022

Rosendo Monroy-Loperena – Process Modeling and Simulation – Excellence in Innovation 

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Dr. Rosendo Monroy-Loperena - Process Modeling and Simulation - Excellence in Innovation 

ROMON - Mexico

Author Profile

Early Academic Pursuits

Dr. Rosendo Monroy Loperena, born on November 6, 1957, in Tenancingo, State of Mexico, embarked on his academic journey at the Universidad Iberoamericana, where he earned his Bachelor’s Degree in Chemical Engineering (1976-1980). His dedication to education and academic excellence was evident early on, as he graduated with honors. Continuing his studies at the same institution, he pursued a Master’s Degree in Systems Planning and Informatics from 1982 to 1984, further solidifying his foundation in chemical and systems engineering.

In 1997, Monroy Loperena began his Ph.D. at the Metropolitan Autonomous University (UAM), Iztapalapa Unit, completing it in 1999. His doctoral studies were marked by an impressive performance, culminating in the receipt of the University Merit Medal, an acknowledgment of his exceptional academic contributions. Monroy Loperena’s thirst for knowledge and innovation led him to a postdoctoral fellowship at the prestigious Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN) from 2012 to 2014, where he specialized in biotechnology.

Professional Endeavors

Dr. Monroy Loperena’s professional career is characterized by a blend of academic and industrial experiences. Starting as a Development Engineer at the Mexican Petroleum Institute (1980-1982), he quickly transitioned to academia as a Full-time Professor at the Universidad Iberoamericana (1983-1988). Here, he also served as the Research Coordinator in the Department of Systems, demonstrating his ability to bridge theoretical research and practical applications.

In 1989, he founded Systemic Approach, S.A. de C.V., a consulting firm that he led until 1997. This entrepreneurial endeavor highlighted his knack for applying academic knowledge to real-world challenges. Later, he served as a Research Scientist “A” in the Molecular Engineering Program at the Mexican Petroleum Institute (2000-2004), where his research significantly contributed to the field of chemical engineering.

Monroy Loperena’s expertise was also sought in various administrative roles. Notably, he coordinated financial and administrative monitoring for the Executive Secretariat for Construction, Material Resources, and General Services at the Federal Judiciary Council (2011). He also held the position of Administrative Coordinator at the National Human Rights Commission (2009-2011).

In 2012, he founded ROMON – Engineering, Planning and Systems Consulting, where he continues to serve as CEO. This role allows him to leverage his extensive experience to provide strategic consulting services, further extending his impact on the engineering and scientific community.

Contributions and Research Focus

Dr. Monroy Loperena’s research contributions span various aspects of chemical engineering, with a particular focus on fluid phase equilibria, distillation processes, and the development of robust computational methods for chemical engineering applications. His extensive publication record includes influential papers on vapor-liquid flash calculations, the Rachford-Rice equation, and multicomponent distillation column simulations.

His research is characterized by the development of efficient algorithms and innovative solutions to complex engineering problems. For instance, his work on enhancing cubic polynomial solutions and providing new perspectives on the Rachford-Rice equation has garnered significant attention in the scientific community. Monroy Loperena’s publications, such as “An Efficient Method to Calculate Multisolid-(Wax) Precipitation” and “A Simple, Reliable and Fast Algorithm for the Simulation of Multicomponent Distillation Columns,” highlight his contributions to advancing chemical engineering methodologies.

Accolades and Recognition

Dr. Monroy Loperena’s academic and professional excellence has been recognized through numerous awards and distinctions. He was a National Researcher Level 2 in the National System of Researchers from 2001 to 2016, reflecting his sustained contributions to scientific research. Additionally, he received the Best Reviewer Award from Computers & Chemical Engineering (2012-2013) and the Second Place award for his doctoral thesis in the petroleum industry from the Mexican Petroleum Institute (2000).

His commitment to academic excellence was further acknowledged with the University Merit Medal from UAM and the IMIQ Mention for his work presented at the Annual Convention of the Mexican Institute of Chemical Engineers in 1983. These accolades underscore his influence and leadership in the field of chemical engineering.

Impact and Influence

Dr. Monroy Loperena’s impact extends beyond his research contributions. As an educator, he has influenced countless students through his teaching roles at various institutions, including the Metropolitan Autonomous University, the Technological Institute of Higher Studies of Ecatepec, and the Rosario Castellanos Institute of Higher Studies. His dedication to teaching and mentorship has inspired a new generation of engineers and researchers.

His role as a member of the CONACYT Register of Accredited Evaluators and as a jury member for the Best Doctoral Thesis in Thermodynamics Contest demonstrates his commitment to advancing scientific standards and supporting emerging researchers. His participation in various coordination committees, such as the FIRST COLLOQUIUM ON SIMULATION, reflects his leadership in fostering academic and research collaborations.

Legacy and Future Contributions

Dr. Rosendo Monroy Loperena’s legacy is marked by his profound contributions to chemical engineering, both as a researcher and educator. His innovative research, impactful publications, and dedication to academic excellence have left an indelible mark on the field. Moving forward, his continued involvement in research and consultancy through ROMON promises to yield further advancements and applications of chemical engineering principles.

As he continues to publish groundbreaking research and mentor the next generation of engineers, Monroy Loperena’s influence will undoubtedly persist, shaping the future of chemical engineering and contributing to its evolution in addressing complex industrial and environmental challenges.

Notable Publication

 

Marianna Rotilio – Machine learning for Buildings – Best Researcher Award 

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Prof. Marianna Rotilio - Machine learning for Buildings - Best Researcher Award 

University of L'Aquila - Italy

Author Profile

Early Academic Pursuits

Prof. Marianna Rotilio's academic journey began with her Scientific High School Diploma from the Andrea Bafile Scientific High School in L'Aquila, Italy, where she achieved a perfect score of 100/100. This strong foundation laid the groundwork for her future endeavors in academia. She went on to pursue a five-year degree in Building-Architectural Engineering at the University of L'Aquila, graduating with top honors and a score of 110/110 in 2005. Her thesis titled "Recupero e Sostenibilità. Caso di studio: Civitaretenga" exemplified her early interest in sustainable architecture and restoration.

In 2006, Marianna embarked on a collaborative journey with various prestigious institutions, including the University of Pavia and the University of Rome "La Sapienza", as part of her research doctorate in EU Building-Architecture. This collaborative approach marked the beginning of her interdisciplinary approach to research, a characteristic that would define her future academic pursuits.

Professional Endeavors

Prof. Marianna's professional journey is marked by a series of research grants and appointments that underscore her expertise in sustainable building practices and architectural heritage preservation. Her involvement in projects such as the PRIN 2009 project on "Dry technologies for energy recovery and requalification" and the development of strategic plans for student housing demonstrates her commitment to addressing real-world challenges through research.

Her engagement as a contract lecturer and participation in international research groups further enriched her professional repertoire, allowing her to contribute to the academic community while also staying connected to practical applications of her research.

Contributions and Research Focus

Throughout her career, Marianna's research has focused on several key areas, including spatial planning and post-earthquake reconstruction, the study of building components, public lighting efficiency, and the redevelopment of historical buildings. Her interdisciplinary approach, combining elements of architecture, engineering, and sustainability, has led to impactful contributions in each of these domains.

Her work on developing guidelines for energy-efficient renovation of historical buildings and her research on the hygrothermal behavior of ancient walls have been particularly noteworthy. These contributions have not only advanced the field of sustainable architecture but also provided practical insights for policymakers and practitioners involved in heritage conservation and urban planning.

Accolades and Recognition

Prof. Marianna's dedication to research and academic excellence has been recognized through various accolades and appointments, including her qualifications as both a first-level and second-level university professor in the Design and Technological Planning of Architecture sector. Her involvement in prestigious research projects funded by entities such as Horizon Europe and the European CBHE Program speaks to the high regard in which her expertise is held within the academic community.

Impact and Influence

Prof. Marianna's research has had a significant impact on both academia and practice. By addressing pressing challenges such as energy efficiency in historical buildings and sustainable urban development, she has contributed to advancing knowledge in these areas while also informing real-world decision-making processes. Her collaborations with international research groups and her role as a founding partner of a university spin-off further underscore her influence within the academic and professional spheres.

Legacy and Future Contributions

As Marianna continues her academic journey, her legacy is one of interdisciplinary collaboration, innovative research, and a commitment to sustainability in the built environment. Her future contributions are likely to further shape the field of architectural engineering, with a focus on addressing emerging challenges such as climate change and urbanization. By inspiring future generations of researchers and practitioners, Marianna is poised to leave a lasting impact on the field for years to come.

Notable Publication