Zina Boussada | Engineering | Research Excellence Award

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Dr. Zina Boussada | Engineering | Research Excellence Award

Company for Petroleum Research and Operations | Tunisia

Dr. Zina Boussada is an emerging researcher in electrical engineering whose work bridges advanced control systems, intelligent automation, renewable energy technologies, and high-performance power electronics. Her scientific contribution focuses on the modeling, optimization, and control of induction motors, photovoltaic systems, and microgrid energy management using intelligent and hybrid computational approaches. She has contributed extensively to sensorless motor control through ANFIS-based strategies, multilevel NPC inverter topologies, stator-flux orientation techniques, and advanced inverter modulation methods, enhancing system efficiency, stability, and predictive performance in industrial and renewable energy applications. Her research extends to photovoltaic cell modeling, hybrid optimization frameworks, exponential smoothing forecasting, diode-clamped inverter strategies, and comparative inverter control techniques, addressing key challenges in modern smart-grid and clean-energy systems. She has collaborated with several research groups and contributed to journals and international conferences in the areas of energy systems, green technologies, and intelligent electrical drives. Her publication record reflects steady scholarly growth, supported by contributions in peer-reviewed journals such as Symmetry, WSEAS Transactions on Systems and Control, the International Journal of Environmental Sciences, and various high-impact conference proceedings. She has also published multiple studies on photovoltaic modeling and multilevel inverter technologies, reinforcing her position within the renewable-energy research community. Her citation metrics indicate increasing academic visibility, with Scopus reporting approximately 490 citations from 482 citing documents, 23 indexed documents, and an h-index of 9. Google Scholar metrics show comparable academic impact, reflecting a growing global readership and recognition for her work in intelligent control and energy-system optimization. Overall, her research trajectory demonstrates strong potential for continued advancement in sustainable energy technologies, intelligent control methodologies, and high-performance electrical systems, positioning her as a promising candidate for the Research Excellence Award.

Publication Profile

Scopus | Orcid 

Featured Publications

Boussada, Z., Omri, B., & Ben Hamed, M. (2025). High-performance sensorless control of induction motor via ANFIS and NPC inverter topology. Symmetry.

Boussada, Z., Omri, B., & Ben Hamed, M. (2025). Data-driven optimization for efficient integration of photovoltaic agents in residential microgrid systems. Euro-Mediterranean Journal for Environmental Integration.

Xingjian Huang | Engineering | Best Research Article Award

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Dr. Xingjian Huang | Engineering | Best Research Article Award

Huaihua University | China

Xingjian Huang is a distinguished food‑science researcher whose work integrates protein chemistry, food structure and functionality, biopolymer‑based materials, and the nutritional evaluation of plant proteins. His research has significantly advanced understanding of how soy proteins and other plant‑derived proteins behave under various processing conditions, including proteolysis, gelation, hydrolysis, and complex formation, and how these behaviors influence texture, gel strength, nutritional quality, and functional properties. Among his notable contributions is the study of amyloid‑fibril formation from selectively hydrolyzed soy protein hydrolysates, which provided key insights into protein aggregation, fibrillation mechanisms, and structural modification. He has also conducted extensive research on exopolysaccharide production by lactic acid bacteria, improving yields through strain screening and optimization of fermentation and extraction conditions, linking microbial fermentation to food‑biopolymer applications. In addition, Huang has investigated the nutritional value and amino acid composition of various plant proteins, such as the protein subunits of the Chinese chestnut (Castanea mollissima), enhancing understanding of plant protein quality and potential functional applications. His work further explores the practical implications of protein interactions in food systems, including mixed‑protein gels, soy‑protein/corn‑starch composites, and the interplay of lipids and proteins in gel networks, bridging fundamental biochemical insights with industrial food processing relevance. Huang’s research has contributed valuable knowledge for improving food texture, nutrition, and the scalable processing of plant‑based proteins, supporting both academic research and applied food technology. According to his ResearchGate profile, he has published over 20 peer‑reviewed papers with more than 1,800 reads, demonstrating significant influence in the field and a substantial citation record that reflects his impact on food science research worldwide. For his outstanding contributions, Xingjian Huang has been recognized with the Best Research Article Award, highlighting his innovative work and high impact in the field of food science and technology.

Publication Profile

Orcid

Featured Publications

Yang, F., Huang, X., Zhang, C., … Hao, Y. (2018). Amino acid composition and nutritional value evaluation of Chinese chestnut (Castanea mollissima Blume) and its protein subunit. RSC Advances.

Xie, D., Liu, X., Zhang, H., … Pan, S., Huang, X. (2017). Textural properties and morphology of soy 7S globulin–corn starch (amylose, amylopectin). International Journal of Food Properties.

Xia, W., … Pan, S., Huang, X. (2017). Formation of amyloid fibrils from soy protein hydrolysate: Effects of selective proteolysis on β‑conglycinin. Food Research International.

Qi, L., … Pan, S., Huang, X. (2016). Yield improvement of exopolysaccharides by screening of the Lactobacillus acidophilus ATCC and optimization of the fermentation and extraction conditions. EXCLI Journal.

Pan, Y., Huang, X., Shi, X., … Du, Y. (2015). Antimicrobial application of nanofibrous mats self-assembled with quaternized chitosan and soy protein isolate. Carbohydrate Polymers.

 

Vasso Papadimitriou | Engineering | Best Researcher Award

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Ms. Vasso Papadimitriou | Engineering | Best Researcher Award

Aristotle University of Thessaloniki | Greece

Ms. Vasso Papadimitriou is an accomplished researcher and academic affiliated with the Aristotle University of Thessaloniki and the Region of Central Macedonia, Greece. Her research primarily focuses on construction project management, cost estimation models, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques, particularly Artificial Neural Networks (ANNs), in the field of building renovation and project planning. She has contributed significantly to the development of predictive and hybrid models that enhance accuracy in early-stage and final cost estimation for construction and renovation projects. Dr. Papadimitriou’s innovative work combines ANN methodologies, including Radial Basis Function (RBF) and Multilayer Perceptron (MLP) networks, with Multi-Criteria Decision-Making (MCDM) approaches such as the TOPSIS Methodology to create efficient, data-driven tools for project assessment and optimization. Her research also aligns with Sustainable Development Goals (SDG 9 and SDG 17), focusing on promoting innovation, infrastructure, and partnerships for sustainable growth. She has published in international peer-reviewed journals indexed in Scopus, Web of Science (SCI-Expanded, ESCI), and other scientific databases. According to Scopus, she has 6 publications, 3 citations, and an h-index of 1. On Google Scholar, she holds 14 total citations, an h-index of 3, and an i10-index of 1, while ResearchGate records 6 publications, 11 citations, and an h-index of 2. Her interdisciplinary approach bridges civil engineering, computer science, and digital construction, contributing to advancements in cost modeling and sustainable infrastructure management. Through her publications and research collaborations, Dr. Papadimitriou continues to make impactful contributions to the field of engineering innovation and AI-driven construction technology. Her outstanding achievements and innovative contributions to predictive modeling and sustainable construction management make her a deserving nominee for the Best Researcher Award.

Publication Profile

Scopus | Google Scholar

Featured Publications

Papadimitriou, V. E., & Aretoulis, G. N. (2024). A final cost estimating model for building renovation projects. Buildings, 14(4), 1072.

Papadimitriou, V. E., Aretoulis, G. N., & Papathanasiou, J. (2024). Radial Basis Function (RBF) and Multilayer Perceptron (MLP) comparative analysis on building renovation cost estimation: The case of Greece. Algorithms, 17(9), 390.

Papadimitriou, V., & Aretoulis, G. (2023). Neural network models as a cost prediction tool to prevent building construction projects from a failure—A literature review. Proceedings of the Erasmus+ PROSPER Project International Scientific Conference, 1–10.

Papadimitriou, V. E., & Aretoulis, G. N. (2025). An innovative approach regarding efficient and expedited early building renovation cost estimation utilizing ANNs and the TOPSIS methodology. Algorithms, 18(11), 696.

Kritikos, P., Papadimitriou, V., & Aretoulis, G. N. (2021). Required project designers’ attributes as perceived by male and female engineers. International Journal of Decision Support System Technology (IJDSST), 13(4), 1–15.

 

 

Qiusong Liang | Engineering | Best Researcher Award

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Ms. Qiusong Liang | Engineering | Best Researcher Award

Northeast Forestry University | China

Ms. Qiusong Liang is a promising mechanical engineering researcher whose work focuses on advanced simulation, optimization, and design of electro-hydraulic and electromechanical systems. Her research emphasizes multi-objective optimization, structural dynamics, and fluid–structure interaction analysis to enhance the performance and reliability of servo and direct-drive valve mechanisms. She skillfully integrates computational tools such as ANSYS, SolidWorks, Maxwell, and AMESim for high-precision modeling and simulation, contributing significantly to innovations in flow control mechanisms, torque motor optimization, and cavitation noise reduction in hydraulic systems. Her recent studies explore the dynamic characteristics of torque motors and the coupling effects between electromagnetic and fluid systems, leading to improved high-response servo valve technologies for industrial and military applications. Ms. Liang’s research excellence and innovative approach have been recognized through publications in internationally indexed journals and notable contributions to engineering design projects. She maintains an active research profile with Scopus- and Google Scholar–indexed publications, accumulating documented citations and a growing h-index that reflect her rising academic influence in the field of mechanical system optimization and applied simulation engineering. Her commitment to applied research, precision design, and interdisciplinary collaboration has earned her recognition as a recipient of the Best Researcher Award, highlighting her as one of the emerging leaders in smart mechanical systems and sustainable automation technologies.

Publication Profile

Orcid

Featured Publications

  • Zhang, J., Liang, Q., Sun, J., Yan, B., Hu, Z., & Sun, W. (2025, October 29). Multi-objective optimization of torque motor structural parameters in direct-drive valves based on genetic algorithm. Actuators, 14(11), 527.

Mehran Pourgholi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Mehran Pourgholi | Engineering | Best Researcher Award

Islamic Azad University | Iran

Assist. Prof. Dr. Mehran Pourgholi, an accomplished researcher in Civil and Structural Engineering, has made notable contributions to the fields of system identification, structural health monitoring, inverse problems, and stochastic subspace methods. His research focuses on enhancing the reliability of modal analysis and vibration-based damage detection in large-scale structures such as dams and steel buildings. Dr. Pourgholi integrates advanced computational approaches including entropy-based model selection, optimization algorithms, and error analysis frameworks to improve accuracy in structural system modeling. His collaborative work with experts from the University of Tabriz and Islamic Azad University has produced high-impact studies published in leading international journals such as the Journal of Vibration and Control, Mechanical Systems and Signal Processing, and Engineering Reports. According to Google Scholar, Dr. Pourgholi has 77 citations (68 since 2020), an h-index of 4, and an i10-index of 2, while Scopus records 51 citations across 46 documents with an h-index of 3. His influential publications on stochastic subspace identification and modal analysis have advanced understanding of dynamic behavior in civil structures. Recognized for his scholarly excellence, he has been honored with the Best Researcher Award for his significant impact in the field of structural system identification and vibration analysis.

Publication Profile

Scopus | Orcid | Google Scholar 

Featured Publications

Tarinejad, R., & Pourgholi, M. (2018). Modal identification of arch dams using balanced stochastic subspace identification. Journal of Vibration and Control, 24(10), 2030–2044.

Pourgholi, M., Mohammadzadeh Gilarlue, M. M., Vahdaini, T., & Azarbonyad, M. (2023). Influence of Hankel matrix dimension on system identification of structures using stochastic subspace algorithms. Mechanical Systems and Signal Processing, 186, 109893.

Pourgholi, M., Tarinejad, R., Khabir, M. E., & Mohammadzadeh Gilarlue, M. M. (2023). System identification of Karun IV Dam using balanced stochastic subspace algorithm considering the uncertainty of results. Journal of Vibration and Control, 29(23–24), 5342–5356.

Tarinejad, R., Pourgholi, M., & Yaghmaei-Sabegh, S. (2016). Signal processing of dynamic tests results using subspace identification based on orthogonal decomposition technique (SI-ORT). Modares Mechanical Engineering, 15(10), 104–116.

Pourgholi, M., Ghannadi, M., & Gavgani, S. S. (2024). Modal analysis of earthquake records for dams using stochastic subspace based on error analysis. Engineering Reports, 6(8), e12822

 

Hadjsadok Abdelkader | Sustainable Materials | Innovative Research Award

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Afshin Khodaparast | Low-carbon | Excellence in Research

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Dr. Afshin Khodaparast | Low-carbon | Excellence in Research

Researcher at Shahid beheshti university, Iran

Afshin Khodaparast is a distinguished civil engineer and researcher based in Tehran, Iran. He specializes in sustainable concrete materials and earthquake engineering, focusing on developing innovative green concrete solutions. With extensive academic training and industry experience, he has contributed to multiple high-impact research projects, particularly in earthquake-resistant structures and self-compacting earth concrete. As the CEO of ARPACIVIL, Afshin is dedicated to advancing eco-friendly construction technologies and implementing cutting-edge methodologies in the civil engineering sector. He has published extensively in renowned journals and conferences, showcasing his expertise in structural performance and materials science. Passionate about continuous learning and professional collaboration, Afshin actively participates in prestigious engineering societies such as ASCE and ACI. His work aims to bridge the gap between sustainable materials and resilient infrastructure, making significant strides in environmental conservation and structural safety.

professional profiles📖

 

Scopus Profile

Education 🎓

Afshin holds a Ph.D. in Earthquake Engineering from Shahid Beheshti University (2019-2024), where he researched the feasibility of self-compacted earth concrete in construction under the supervision of Dr. Kianoosh Samimi. He completed his Master of Science in Earthquake Engineering at Noshirvani University of Technology (2013-2016), focusing on the behavior of tall buildings under rotational earthquake components. His Bachelor of Science in Civil Engineering from Islamic Azad University (2009-2013) laid the foundation for his expertise in structural analysis and design. His strong academic background, coupled with a passion for sustainable materials, has positioned him at the forefront of civil engineering research.

work Experience💼

As the CEO of ARPACIVIL, Afshin leads innovative construction and research projects, particularly in green materials and earthquake-resistant structures. His experience includes working on high-rise buildings with outrigger systems, investigating self-compacting earth concrete, and evaluating seismic responses in structures. He has been an integral part of earthquake damage assessment teams, including the 2017 Kermanshah Earthquake Response Team. With hands-on experience in advanced structural analysis software such as ETABS, SAP2000, OpenSees, and ABAQUS, he has conducted numerous simulations to optimize building safety. His leadership roles in civil engineering organizations reflect his dedication to advancing structural engineering practices globally.

Research Focus

Afshin’s research revolves around earthquake engineering, green concrete technology, and sustainable construction materials. His Ph.D. dissertation explores the application of self-compacted earth concrete to enhance sustainability and reduce carbon emissions in the construction industry. His work also investigates seismic responses in high-rise structures, focusing on outrigger and belt-truss systems to improve structural resilience. He has published extensively on the impact of recycled fine aggregates, nano-silica, and rotational earthquake components on building performance. His interdisciplinary research aims to create environmentally friendly and disaster-resilient infrastructures.

Awards & Honors🏆 

Afshin has been recognized for his contributions to civil engineering research, particularly in sustainable materials and earthquake engineering. He has received accolades for his publications on self-compacting earth concrete, high-rise structural behavior, and recycled materials in construction. As an executive board member of the Qaemshahr Engineers Association, he has played a key role in engineering education and innovation. His active membership in ASCE, ACI, and the Iranian Earthquake Engineering Association further underscores his commitment to professional excellence.

Conclusion✅

Afshin Khodaparast is a strong candidate for the Excellence in Research Award. His contributions to earthquake engineering, sustainable materials, and innovative concrete solutions align well with the award’s criteria. His extensive research output, leadership, and professional engagement make him a deserving nominee. Strengthening global collaborations and focusing on high-impact research funding will further solidify his standing in the field.

📚Publications to Noted

Title: Effect of Pumice on Self-Compacting Earth Concrete: Mechanical and Microstructural Characteristics, and Life Cycle Assessments

👨‍🔬 Authors:

Afshin Khodaparast (A. Khodaparast)

Kianoosh Samimi (K. Samimi)

Javad Eslami (J. Eslami)

Mahyar Pakan (M. Pakan)

📅 Year: 2025

 

 

Fernando Marins | Production Engineering | Best Researcher Award

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Prof. Dr.Fernando Marins | Production Engineering | Best Researcher Award

Professor at Universidade Estadual Paulista-UNESP,Brazil

Fernando Augusto Silva Marins is a Full Professor at UNESP – São Paulo State University, specializing in logistics, supply chain management, and operational research. With over four decades of academic and research experience, he has made significant contributions to the field through publications, patents, and industrial collaborations. His academic journey began with a Mechanical Engineering degree in 1976, followed by an MSc (1981) and PhD (1987), culminating in a postdoctoral internship at Brunel University in 1994. He has supervised numerous postgraduate students and participated in various international collaborations. A prolific researcher, he has published over 140 journal articles, authored two books, and contributed to 29 book chapters. He has also served as an editor and reviewer for multiple scientific journals. Recognized for his contributions, he has received 40 awards and honors, highlighting his impact on academia and industry. His research spans logistics, SCM, DEA, AHP, and simulation.

professional profiles📖

Scopus Profile

ORCID

Goolge scholar

Education 🎓

Fernando Augusto Silva Marins pursued his undergraduate degree in Mechanical Engineering in 1976. He later obtained a Master of Science (MSc) in 1981, where he deepened his understanding of engineering principles and logistics. In 1987, he earned his PhD, further refining his expertise in operational research and supply chain management. To expand his international academic exposure, he completed a postdoctoral internship at Brunel University, UK, in 1994. His educational background laid a strong foundation for his career in academia and research. With a focus on logistics, supply chain management, and decision-making methodologies, he has continuously integrated emerging technologies into his research. His extensive academic journey has enabled him to guide students at various levels, fostering new innovations and practical applications in his field. Through his diverse educational experiences, he has contributed significantly to research and academia, making a lasting impact on logistics and operational research disciplines.

work Experience💼

Fernando Augusto Silva Marins has been a Full Professor at UNESP – São Paulo State University, where he has dedicated his career to research, teaching, and industry collaborations. Over the years, he has mentored 26 PhD candidates, 37 MSc students, and 80 MBA researchers. His professional experience includes working as a researcher for CNPq, contributing extensively to operational research, logistics, and supply chain management. He has successfully led 34 research projects and actively participated in consultancy work, bridging the gap between academia and industry. His editorial contributions include serving as an editor and reviewer for numerous journals and scientific events. He has also held leadership roles within the Brazilian Operational Research Society (SOBRAPO), influencing policy and research directions. As a recognized academician, he continues to push the boundaries of research through advanced methodologies like DEA, AHP, and simulation, fostering innovations in logistics and supply chain management.

Research Focus

Fernando Augusto Silva Marins specializes in logistics, supply chain management (SCM), and operational research (OR), focusing on optimizing processes for efficiency and cost-effectiveness. His research integrates advanced methodologies such as Data Envelopment Analysis (DEA), Analytic Hierarchy Process (AHP), and simulation to solve complex decision-making problems. His work addresses critical challenges in transportation, inventory control, and production planning. By leveraging mathematical modeling and computational tools, he enhances decision-support systems for businesses and industries. His contributions have been widely published, with 140 journal papers and numerous conference presentations. His research extends to sustainability in logistics, emphasizing eco-friendly supply chain strategies. He collaborates with industries and academia to develop practical solutions, bridging theoretical research with real-world applications. With extensive experience in multi-criteria decision-making, his work influences operational strategies in various sectors. His ongoing projects focus on digital transformation in logistics, smart supply chains, and artificial intelligence applications in decision-making.

Awards & Honors🏆 

Fernando Augusto Silva Marins has received over 40 awards and honors for his outstanding contributions to logistics, supply chain management, and operational research. His recognition spans academia, industry, and scientific organizations. He has been honored by the Brazilian Operational Research Society for his impactful research and leadership roles. His innovative work has earned him accolades in international conferences and scientific journals. He has received best paper awards, distinguished researcher titles, and excellence in teaching honors. His contributions to decision-making methodologies like DEA, AHP, and simulation have been widely recognized by peers and institutions. His research impact is reflected in his h-index of 18 in Scopus, showcasing the high citation count of his work. Additionally, he has been acknowledged for his role in mentoring and supervising students, further cementing his legacy in academia. His dedication to advancing research and education has earned him a reputation as a leading expert.

Skills 🛠️ 

Fernando Augusto Silva Marins possesses a diverse skill set, combining academic excellence, research innovation, and industry expertise. His technical skills include operational research methodologies, logistics optimization, supply chain management, and simulation modeling. He is proficient in decision-support tools like DEA and AHP, which enhance efficiency in complex systems. His expertise extends to programming and mathematical modeling, aiding in research and industrial applications. He has strong leadership and mentoring skills, having guided over 100 students across various academic levels. His editorial experience as a journal reviewer and editor showcases his ability to assess and refine high-quality research. With excellent project management skills, he has led multiple research initiatives, ensuring impactful results. His consultancy work demonstrates his ability to apply theoretical models to real-world business challenges. His communication and collaboration skills have facilitated global partnerships, fostering innovation in logistics and operational research. His ability to bridge theory with practice sets him apart.

Conclusion✅

Fernando Augusto Silva Marins is an exceptional candidate for the Best Researcher Award. His prolific research output, academic mentorship, and contributions to logistics and operations research make him a strong contender. With enhanced industry collaborations and a focus on increasing citation impact, his research influence can be further solidified. Overall, he meets and exceeds many of the criteria for this prestigious recognition

📚Publications to Noted

The ISO 31000 standard in supply chain risk management

Authors: U.R. De Oliveira, F.A.S. Marins, H.M. Rocha, V.A.P. Salomon

Journal: Journal of Cleaner Production

Citations: 298

Year: 2017

ERP systems: features, costs and trends

Authors: T.C.C. Padilha, F.A.S. Marins

Journal: Production

Citations: 179

Year: 2005

Introduction to Operational Research

Author: F.A.S. Marins

Publisher: São Paulo: Academic Culture, Paulista State University

Citations: 140

Year: 2011

Application of design of experiments on the simulation of a process in automotive industry

Authors: J.A.B. Montevechi, A.F. de Pinho, F. Leal, F.A.S. Marins

Conference: 2007 Winter Simulation Conference

Citations: 132

Year: 2007

Analytic hierarchy process and supply chain management: A bibliometric study

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Procedia Computer Science

Citations: 105

Year: 2015

Mitigation of the bullwhip effect considering trust and collaboration in supply chain management: a literature review

Authors: M.M.K. Almeida, F.A.S. Marins, A.M.P. Salgado, F.C.A. Santos, S.L. Silva

Journal: The International Journal of Advanced Manufacturing Technology

Citations: 104

Year: 2015

Reverse logistics management model

Authors: C.T. Hernández, F.A.S. Marins, R.C. Castro

Journal: Management & Production

Citations: 94

Year: 2012

A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill

Authors: A.F. da Silva, F.A.S. Marins

Journal: Energy Economics

Citations: 86

Year: 2014

Reverse logistics in a glass lamination company: a case study

Authors: M.E. Goncalves, F.A.S. Marins

Journal: Management & Production

Citations: 80

Year: 2006

Multi-criteria assessment of the benefits of a supply chain management training considering green issues

Authors: C.L. Tramarico, V.A.P. Salomon, F.A.S. Marins

Journal: Journal of Cleaner Production

Citations: 79

Year: 2017

 

Oluwatayo Timothy Jesudaju | Heavy Engineering | Best Researcher Award

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Mr. Oluwatayo Timothy Jesudaju | Heavy Engineering | Best Researcher Award

Site Supervisor at Federal University of Technology Akure, Nigeria

Oluwatayo Timothy Jesudaju is an aspiring quantity surveyor and construction professional with a strong passion for digital technology adoption in heavy engineering projects. He holds a Bachelor of Technology degree in Quantity Surveying from The Federal University of Technology, Akure, Nigeria. With hands-on experience in construction supervision, cost estimation, and project management, he has contributed to large-scale projects such as the Dangote Refinery drainage system and the Lekki-Epe Expressway rehabilitation. His research focuses on integrating digital technology tools into construction management for improved efficiency. Recognized for his leadership skills, he has served as a student liaison and actively contributed to student welfare initiatives. Beyond his technical expertise, he is passionate about green building practices and sustainable construction. A creative individual, he enjoys mural painting and canvas art. His technical proficiency, problem-solving skills, and adaptability position him as a promising professional in the construction and engineering industry.

professional profiles📖

ORCID

Education 🎓

Oluwatayo Timothy Jesudaju earned his Bachelor of Technology in Quantity Surveying from The Federal University of Technology, Akure, Ondo, Nigeria, with a Second Class Upper Division (3.57/5.00 GPA). His academic journey focused on key areas such as cost estimation, risk management, construction measurement, valuation, and digital technology adoption in engineering projects. His thesis, titled “Adoption of Digital Technology Tools in Heavy Engineering Projects in Lagos State, Nigeria,” examined how modern construction technologies can optimize efficiency and reduce costs. Under the supervision of Dr. Oke A.E., he employed advanced data analysis techniques such as Factor Analysis, Frequency Distribution, and Standard Deviation to assess the challenges and benefits of digital technology in construction. His research contributes to the growing field of digital transformation in the engineering sector. Throughout his academic career, he demonstrated leadership, analytical thinking, and a commitment to sustainable building practices.

work Experience💼

Oluwatayo Timothy Jesudaju has gained valuable experience in the construction industry through various roles. As a Site Supervisor at Nimasa Nig Ventures, he oversaw the construction of a 50m drainage system at the Dangote Refinery, ensuring successful project execution from excavation to completion. During his tenure as an Intern Quantity Surveyor at Craneburge Construction Company, he measured work progress, collected data, and assisted in the preparation of interim valuations for the Lekki-Epe Expressway rehabilitation project. He also worked with the Edo State Public Building and Maintenance Agency, preparing bill of quantities for construction projects, aiding in procurement and budgeting. His expertise in cost estimation, contract administration, and risk management has been instrumental in ensuring project efficiency. With a strong foundation in Microsoft Project, SPSS, and Microsoft Excel, he continues to contribute to the industry by integrating digital tools for enhanced project management.

Awards and Honors 

Oluwatayo Timothy Jesudaju has been recognized for his leadership and impact in the academic and professional spheres. He received the Most Respected Occupant Award (2021 & 2022) at Akindeko Hall of Residence, The Federal University of Technology, Akure, for his outstanding contributions to student welfare and leadership. As a student leader, he played a crucial role in creating a dedicatory mural for a late coursemate, a gesture that fostered unity and remembrance within the student community. His ability to bridge communication between students and hostel management ensured the prompt resolution of student concerns. His research contributions in digital construction technologies have positioned him as a forward-thinking professional committed to advancing sustainable construction practices. His achievements highlight his dedication to academic excellence, leadership, and innovation in the construction industry, making him a promising candidate for future industry awards.

 

Research Focus

Oluwatayo Timothy Jesudaju’s research focuses on the adoption of digital technology tools in heavy engineering projects to enhance efficiency, accuracy, and cost-effectiveness in the construction industry. His thesis investigated how digital tools such as Building Information Modeling (BIM), Geographic Information Systems (GIS), and drone surveying can revolutionize project management in Lagos State, Nigeria. His study utilized Factor Analysis, Mean Item Score, and Standard Deviation to evaluate the key drivers and barriers to digital adoption in construction. He is particularly interested in green building practices, sustainable construction, and risk management. His research aims to bridge the gap between traditional construction methods and emerging digital solutions to improve project execution. His passion for data-driven decision-making and technology integration positions him as an innovator in the field of construction technology and engineering.

 

Conclusion✅

Oluwatayo Timothy Jesudaju is a strong candidate for the Best Researcher Award, given his research contributions, industry experience, and leadership roles. By increasing his research publications and seeking international collaborations, he can further establish himself as a leading expert in construction technology and management.

 

📚Publications to Noted

 

Digital Evolution in Nigerian Heavy-Engineering Projects: A Comprehensive Analysis of Technology Adoption for Competitive Edge

*Published on January 26, 2025, in the journal Buildings, this article explores how the fourth industrial revolution’s digital technologies can enhance the operations and competitiveness of Nigerian heavy-construction firms.

Authors:

  • A.E. Oke
  • J. Aliu
  • M.Z. Farhana
  • O.T. Jesudaju
  • H.-P. Lee

Citations: As of now, the article has been cited 0 times.

A Capability Assessment Model for Implementing Digital Technologies in Nigerian Heavy Construction Firms

*Published on July 30, 2024, in the journal Smart and Sustainable Built Environment, this study introduces a tailored capability assessment model and self-appraisal tool to aid Nigerian heavy construction firms in their digital transformation efforts.

Authors:

  • A.E. Oke
  • J. Aliu
  • M.Z. Farhana
  • O.T. Jesudaju
  • H.-P. Lee

Citations: As of now, the article has been cited 0 times.

 

 

Samuel Ogundahunsi | Energy Systems Engineering | Best Researcher Award

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