Truptimala Pattanik | Civil Engineering | Young Scientist Award

Prof. Truptimala Pattanik | Civil Engineering
| Young Scientist Award

Prof. Truptimala Pattanik | Gandhi Institute of Engineering and Technology | India

Prof. Truptimala Pattnaik is a highly accomplished Structural Engineer with over a decade of expertise in academia and industry, specializing in STAAD.Pro-based RCC building design, seismic analysis, and BIM-integrated workflows. Currently serving as Structural Engineer at BIMedge Pvt. Ltd., Bhubaneswar, she leads the design of residential and commercial RCC structures (G+3 to G+10), delivering client-ready reports, BOQs, . She has demonstrated proficiency in advanced concrete design under seismic loads, BIM modeling in OpenBuildings Designer, Revit, and iTwin, and coordination with multidisciplinary teams, while also mentoring junior engineers and conducting certified STAAD.Pro training workshops. Previously, as HOD and Assistant Professor at Gandhi Engineering College, she introduced practical design modules, collaborated with consultancy firms for live project exposure, and guided final-year student teams in BIM and structural workflows. Earlier at GIET University, she supervised 25+ RCC projects and conducted research on sustainable materials and reinforced concrete behavior under dynamic loading. Holding an M.Tech in Structural Engineering from GIET and a B.Tech in Civil Engineering from BPUT, she is certified across multiple platforms including STAAD, Tekla, ETABS, and Bentley OpenBuildings, and has received recognition such as the UltraTech Cement Dronacharya Award (2023).

 Profile: Google Scholar

Featured Publications

  • Pattnaik, T., Mohanta, N. R., Patel, N., Biswal, P., & Moharana, R. K. (2018). Manufacture of interlocking concrete paving blocks with fly ash and glass powder. International Journal of Engineering Science Research and Technology, 7(1), 604–612.

    Rout, S., Rout, R. K., Sahoo, S. K., Mandal, B. K., Das, L. K., Gantayat, B. P., Das, S., & Pattnaik, T. (2024). Constraints faced by the farmers in the production and marketing of onions in the western undulating zone of Odisha, India. Archives of Current Research International, 24(11), 202–209.

    Pattnaik, T. M., Samanta, R., & Padhy, S. (2021). Partial replacement of fine aggregates in cement mortar by using pond ash and development of low-cost tiles. Journal of Civil & Environmental Engineering, 11(1).

    Behera, S., Pattnaik, T. M., & Baishakhi, N. (2020). Flyash based papercrete building brick as a new building material. International Journal of Engineering Science and Computing, 10(24663–24666).

 

Jun Dai | Structural Engineering | Best Researcher Award

Dr. Jun Dai | Structural Engineering
| Best Researcher Award

Dr. Jun Dai | Northeastern University | China

Dr. Jun Dai is a Professor and Doctoral Supervisor at Northeastern University, recognized as a rising leader in civil engineering research. A candidate of the Jiangsu Provincial Young Science and Technology Talent Support Program, he is a core member of the Vibration Dynamics and Intelligent Disaster Prevention Research Institute. His expertise lies in developing advanced vibration control strategies, multi-hazard defense systems, and broadband isolation technologies that have been widely applied in major infrastructure projects. With a strong record of scientific contributions, including numerous SCI-indexed publications, patents, and leadership roles in professional organizations, he has earned a reputation for excellence in both theoretical innovation and engineering practice. Dr. Dai actively contributes to advancing intelligent construction and disaster prevention engineering.

Professional Profile 

Scopus

Suitability for the Best Researcher Award

Dr. Jun Dai exceptional research achievements and leadership in civil engineering make him a strong candidate for the Best Researcher Award. His innovative work has advanced vibration control systems, intelligent disaster prevention solutions, and multi-dimensional vibration isolation, directly benefiting infrastructure resilience and safety. He has successfully led high-impact projects funded by national programs and foundations, translating research into real-world applications such as bridges, towers, and wind tunnels. His scientific contributions include widely cited publications, patents, and the development of industry standards, showcasing his ability to bridge theory and practice. Dr. Dai’s influence extends internationally through editorial board roles, conference leadership, and peer review contributions, demonstrating his dedication to global engineering innovation and knowledge dissemination.

Education 

Dr. Jun Dai holds dual doctoral degrees in Civil Engineering, having completed joint training at Purdue University and earning his Ph.D. from Southeast University, China. His academic training combined advanced structural engineering knowledge with extensive research in vibration dynamics and disaster prevention. This diverse educational background provided him with an international perspective and strong interdisciplinary expertise. Through rigorous coursework, collaborative research, and hands-on experimentation, Dr. Dai gained mastery of structural mechanics, intelligent control systems, and advanced engineering design. His studies laid a solid foundation for his innovative contributions to infrastructure resilience and multi-hazard defense. The integration of global research experience and deep theoretical knowledge has shaped him into a forward-thinking researcher and educator with a passion for engineering innovation.

Work Experience 

Dr. Jun Dai is a leading researcher and educator with extensive experience in structural vibration control and intelligent disaster prevention. At Northeastern University, he serves as Professor, Doctoral Supervisor, and a key member of the Vibration Dynamics and Intelligent Disaster Prevention Research Institute. He has led multiple national research initiatives, collaborated with prominent engineering institutions, and contributed to the design and safety enhancement of large-scale infrastructure. Dr. Dai’s expertise extends to applied engineering, with significant contributions to bridge vibration control, wind tunnel testing systems, and transmission tower safety. His leadership in organizing academic conferences, serving on technical committees, and participating in professional societies highlights his dedication to advancing civil engineering research, mentoring future scholars, and driving technological innovation.

Awards and Honors

Dr. Jun Dai has earned numerous prestigious awards and recognitions for his groundbreaking contributions to vibration control and disaster prevention engineering. His work has been honored with national-level invention and innovation awards, reflecting its scientific and practical value. He has received top academic prizes for outstanding research achievements, including recognition for his doctoral dissertation. His innovations have also gained international acclaim, earning distinction at global exhibitions of inventions. Dr. Dai’s accomplishments demonstrate a rare combination of academic excellence, engineering innovation, and real-world impact. Beyond awards, he holds editorial board positions and contributes as a reviewer for leading journals, further underscoring his influence on the global engineering research community. These achievements showcase his leadership and commitment to advancing science.

Research Focus 

Dr. Jun Dai research centers on advancing intelligent solutions for vibration control and disaster prevention in large-scale infrastructure. His work explores ultra-low-frequency tuned damping systems, multi-dimensional vibration isolation, and active control strategies to enhance the resilience and safety of engineering structures. He integrates theoretical modeling, experimental validation, and engineering applications to address complex challenges in multi-hazard environments. His research has been successfully applied to critical projects involving bridges, towers, and wind tunnel testing systems, showcasing its practicality and societal impact. By combining intelligent design principles and cutting-edge technologies, Dr. Dai contributes to safer urban infrastructure and innovative construction practices. His vision is to create adaptive, sustainable engineering solutions that mitigate risks, improve structural performance, and protect communities worldwide.

Publication Top Notes

  • Development and performance evaluation of a novel cost-effective multifunctional fluid tunnel: from coastal atmospheric boundary layer simulation to coupled wind-wave experiments
    Year: 2025

  • Full-Scale Shaking Table Tests on a Four-Story Frame Structure With Multi-Dimensional Earthquake Isolation and Mitigation Devices
    Year: 2025 | Cited by: 1

  • Flutter behavior of functionally graded graphene origami-reinforced auxetic metamaterial composite laminated plates in supersonic flow
    Year: 2025 | Cited by: 12

  • Hybrid simulation testing and energy framework for performance-based assessment of structures under earthquake-fire sequential hazards
    Year: 2025 | Cited by: 7

Conclusion

Dr. Jun Dai embodies the qualities of a Best Researcher Award recipient through his exceptional academic contributions, leadership, and engineering innovations. His pioneering research in vibration control and disaster prevention has made a significant impact on both theory and practice, influencing large-scale infrastructure design and safety standards. His commitment to mentoring students, participating in global scientific discourse, and developing practical solutions demonstrates a rare blend of scholarship and applied expertise. By continuing to expand his international collaborations and interdisciplinary initiatives, Dr. Dai is poised to further advance his field and inspire the next generation of researchers.

Zhenyun Tang |Structural engineering |Best Research Article Award

Prof. Dr. Zhenyun Tang | Structuralengineering
|Best Research Article Award

 

Professor at BEIJING UNIVERSITY OF TECHNOLOGY ,China.

 

Professor Tang Zhenyun is a distinguished expert in earthquake engineering and disaster mitigation at Beijing University of Technology. As a doctoral supervisor, he contributes significantly to experimental seismic technology and structural vibration control. He serves on multiple national youth editorial and technical committees focused on disaster resilience. His innovative research spans real-time hybrid simulation, base isolation systems, and tuned liquid dampers. Tang has authored high-impact papers in top journals like International Journal of Structural Stability and Dynamics and Soil Dynamics and Earthquake Engineering. He has earned prestigious awards, including the Silver Medal at the Geneva International Exhibition of Inventions and the First Prize from the China Highway and Transportation Society. His scholarly excellence makes him a prime candidate for the Best Research Article Award.


🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Research Article Award

 

Professor Tang Zhenyun is an internationally recognized scholar in earthquake engineering, whose research integrates experimental innovation and practical seismic mitigation strategies. His recent articles in high-impact journals such as Soil Dynamics and Earthquake Engineering and International Journal of Structural Stability and Dynamics reflect cutting-edge advancements in vibration control, base isolation, and real-time hybrid simulation. His award-winning work—recognized by the China Inspection and Testing Society, Geneva International Exhibition of Inventions, and others—demonstrates both theoretical depth and practical impact. As a doctoral supervisor and active member of key professional societies, Professor Tang’s research not only advances academic knowledge but also contributes to safer infrastructure. His scientific rigor and innovation make him highly suitable for the Best Research Article Award.

🎓 Education 

Professor Tang Zhenyun holds a Ph.D. in Engineering, specializing in structural dynamics and earthquake resilience. His doctoral research laid a solid foundation in advanced experimental methods, real-time hybrid simulation, and vibration control technologies for civil infrastructure. He has received comprehensive academic training from leading Chinese institutions, culminating in his doctoral degree, which has empowered him to contribute meaningfully to seismic safety and geotechnical innovation. Throughout his education, Professor Tang demonstrated exceptional academic merit and research capability, which propelled him into a prominent academic and professional trajectory. His educational background enables him to mentor graduate and doctoral students while advancing theoretical and applied research in structural and earthquake engineering.

🏢 Work Experience 

With extensive academic and research experience, Professor Tang Zhenyun serves as a full professor and doctoral supervisor at Beijing University of Technology. He has led and collaborated on national research projects involving seismic mitigation, vibration control, and soil-structure interaction. Tang has developed innovative real-time hybrid simulation techniques and applied them to civil engineering challenges, producing highly cited publications. His engineering expertise is recognized nationally and internationally, and he has played key roles on editorial boards and professional committees in earthquake prevention and disaster resilience. He also bridges academia and industry through applied research, contributing to testing standards and resilient infrastructure development. His multifaceted experience underscores his suitability for awards recognizing impactful and applied research in structural safety.

🏅 Awards and Honors 

Professor Tang Zhenyun has received numerous national and international honors recognizing his contributions to seismic engineering. These include the First Prize from the China Inspection and Testing Society (1/15) and the Second Prize from the Fujian Science and Technology Awards (2/7). He won the Silver Medal at the Geneva International Exhibition of Inventions (1/5) for his innovative engineering solutions. As the sole recipient (1/1) of the Personal Prize from the China Industry-University-Research Institute Collaboration Association, Tang demonstrated exceptional leadership in applied research. He also contributed to the First Prize from the China Highway and Transportation Society (11/15). These accolades collectively reflect his groundbreaking research, interdisciplinary collaborations, and impactful innovations in earthquake resilience and structural safety.

🔬 Research Focus 

Professor Tang Zhenyun’s research is centered on earthquake engineering, with specific expertise in experimental technology, base isolation, seismic mitigation, and vibration control. He specializes in real-time hybrid simulation, where he develops and applies novel methods to model complex soil-structure systems under seismic loads. His studies have advanced the use of GPU computing for structural simulations and proposed new frequency-domain analysis techniques for systems employing tuned liquid dampers. Tang’s work on the stability of hybrid testing systems and parameter identification in dynamic models has influenced the development of resilient infrastructure. His research addresses both theoretical modeling and practical application, making significant contributions to safety-critical structures in earthquake-prone regions and aligning with national resilience strategies.

📊 Publication Top Notes:

  1. Yang, B., Li, Z., Lv, J., Tang, Z., & Wang, L. (2025). Experimental study on load-bearing capacity of T-shaped semi-rigid connected double skin composite shear walls. KSCE Journal of Civil Engineering.
    Citations: 1

  2. Shang, Q., Tang, Z., & Wang, T. (2024). Component-level seismic fragility database of suspended piping systems in buildings. Earthquake Engineering and Resilience.
    Citations: 0

  3. Li, X., Tang, Z., & Du, X.L. (2024). Identification of stable parameters for discrete-time rational approximation of MDOF frequency response functions in semi-infinite media. Gongcheng Lixue/Engineering Mechanics.
    Citations: 1

  4. Liu, H., Tang, Z., & Enokida, R. (2024). Stability prediction method of time-varying real-time hybrid testing system on vehicle-bridge coupled system. Mechanical Systems and Signal Processing.
    Citations: 1

  5. Tang, Z., Li, J., Wang, M., Yu, C., & Li, Z. (2024). Investigation on bearing resistance of thin-walled circular steel tube subjected to eccentric loading. Advances in Structural Engineering.
    Citations: 0

  6. Yi, S., Su, T., & Tang, Z. (2024). Robust adaptive Kalman filter for structural performance assessment. International Journal of Robust and Nonlinear Control.
    Citations: 4

  7. Wu, Y., Dong, X., Liao, W., Zheng, G., & Shang, H. (2024). Field dynamic characteristics testing of foundation isolation structures under horizontal initial displacement. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering.
    Citations: 1

  8. Liu, H., & Tang, Z. (2024). Stability prediction method for real-time hybrid test system based on the measured dynamics of physical test system. Soil Dynamics and Earthquake Engineering.
    Citations: 0

  9. Tang, Z., & Li, X. (2023). Stable parameters identification for rational approximation of single degree of freedom frequency response function of semi-infinite medium. International Journal for Numerical Methods in Engineering.
    Citations: 0

Xin Bai | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Xin Bai | Mechanical Engineering
|Best Researcher Award

Assist. Prof. Institute of Metal Research, Chinese Academy of Sciences, China.

 

Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.

🌍 Professional Profile:

Orcid

🏆 Suitability for the Best Researcher Award

 

Assoc. Prof. Dr. Xin Bai is a distinguished researcher at the Institute of Metal Research, Chinese Academy of Sciences, and a member of the Youth Innovation Promotion Association. Renowned for his pioneering work in fatigue fracture and structural reliability, Dr. Bai has significantly advanced methods for predicting fatigue performance from minimal experimental data. His research is both innovative and impactful, addressing critical needs in materials engineering and structural integrity. His commitment to developing cost-effective and efficient reliability assessment tools and software has garnered recognition across academia and industry. Dr. Bai’s sustained research excellence, leadership, and contributions to cutting-edge reliability science make him a compelling candidate for the Best Researcher Award.

🎓 Education 

Dr. Xin Bai received comprehensive training in materials science and engineering, culminating in his doctoral studies at the prestigious Institute of Metal Research, Chinese Academy of Sciences (CAS). His academic path reflects a strong foundation in mechanical behavior, fracture mechanics, and fatigue analysis. He has also engaged in postdoctoral research and advanced studies in failure physics, enhancing his expertise in structural reliability. His educational journey combined rigorous scientific coursework with hands-on research in laboratory environments, allowing him to acquire the necessary skills for leading complex experimental and theoretical investigations. His continued affiliation with CAS exemplifies the high caliber of his education and research orientation.

🏢 Work Experience 

Dr. Xin Bai serves as an Associate Professor at the Institute of Metal Research, Chinese Academy of Sciences, and is actively involved in advanced fatigue and reliability studies. His professional journey includes extensive experience in developing fatigue reliability methods based on physical failure mechanisms, small-scale testing, and predictive modeling. He has led multiple research projects focusing on translating laboratory-scale data into accurate, full-scale structural performance assessments. His work integrates mechanical engineering, software development, and statistical modeling to address real-world engineering problems. As a member of the Youth Innovation Promotion Association of CAS, he collaborates with leading scientists nationwide, contributing to China’s strategic goals in materials reliability and engineering safety.

🏅 Awards and Honors 

Dr. Xin Bai has been honored as a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences—an elite recognition awarded to promising young scientists. This distinction underscores his contributions to material reliability and fatigue research. He has received accolades for his innovative research methods and impactful findings, with invitations to present at top conferences and collaborations with national-level research teams. His software development efforts for fatigue prediction have been adopted in academic and industrial settings, further establishing his influence in the field. His work continues to earn national and institutional praise, positioning him among China’s rising stars in materials science and engineering.

🔬 Research Focus 

Dr. Xin Bai’s research centers on developing low-cost, high-efficiency methods for assessing fatigue reliability based on failure physics. His focus areas include: (1) structural fatigue reliability assessment using minimal testing data, enabling accurate predictions without extensive experimentation; (2) techniques for extrapolating full-scale component fatigue performance from small specimen data, significantly reducing testing time and cost; and (3) software development to support fatigue fracture analysis and reliability modeling. His interdisciplinary approach combines materials science, mechanical engineering, and data-driven modeling to advance the understanding and prediction of structural behavior under cyclic loads. His innovations have broad applications in aerospace, automotive, and infrastructure industries, helping ensure long-term structural safety and performance.

📊 Publication Top Notes:

  • Song Zhou; Zhaoxing Qian; Xin Bai (2024). Static properties evaluation for laser deposition repaired TA15 components based on a constitutive model considering annealing heat treatment. Engineering Failure Analysis.

  • Xin Bai; Peng Zhang; Shuo Liu; Rui Liu; Bingfeng Zhao; Zhefeng Zhang (2023). Fatigue strength prediction of large-size component through size effect measurement and determination. International Journal of Fatigue.

  • X. Bai; P. Zhang; Q. Wang; R. Liu; Z. J. Zhang; Q. Q. Duan; E. N. Yang; H. Bo; Z. F. Zhang (2022). A New Dominance Distribution Method to Select Materials with Higher Fatigue Resistance under Property Scatter and Load Uncertainty. Journal of Materials Engineering and Performance.

  • Zhiming Xie; Peng Wang; Bin Wang; P. Zhang; Xin Bai; Zhefeng Zhang (2022). Effects of Heat Treatment on Fatigue Properties of Double Vacuum Smelting High‐Carbon Chromium‐Bearing Steel. Advanced Engineering Materials.

  • Shuo LIU; Bin Wang; P. Zhang; Xin Bai; Qiqiang Duan; Xuegang Wang; Zhefeng Zhang (2022). The Effect of Microstructure Inhomogeneity on Fatigue Property of EA4T Axle Steel. steel research international.

  • Bingfeng Zhao; Liyang Xie; Yu Zhang; Jungang Ren; Xin Bai; Bo Qin (2021). An improved dynamic load-strength interference model for the reliability analysis of aero-engine rotor blade system. Journal of Aerospace Engineering.

  • Lei Wang; Bingfeng Zhao; Lei Wang; Zhiyong Hu; Song Zhou; Xin Bai (2021). A new multiaxial fatigue life prediction model for aircraft aluminum alloy. International Journal of Fatigue.

  • Xin Bai; Peng Zhang; Enna Yang; Qiqiang Duan; Hao Bo; Zhefeng Zhang (2020). Dominance distributions for fatigue performance of materials and its application in material selection. Preprint on Authorea.

  • Xin Bai; Peng Zhang; Zhen‐jun Zhang; Rui Liu; Zhe‐feng Zhang (2019). New method for determining P‐S‐N curves in terms of equivalent fatigue lives. Fatigue & Fracture of Engineering Materials & Structures.

  • Xin Bai; Liyang Xie; Ruijin Zhang; Ruoyi Guan; Anshi Tong; Enjun Bai (2017). Measurement and estimation of probabilistic fatigue limits using Monte-Carlo simulations. International Journal of Fatigue.

Mehmet Senturk |Structural Engineering | Best Researcher Award

Dr. Mehmet Senturk | Structural Engineering
| Best Researcher Award

 

Tutor in Engineering at Coventry University, United Kingdom .

Dr. Mehmet Senturk is a distinguished engineering tutor at Coventry University, with a PhD in Structural Engineering. His work integrates seismic design, finite element analysis, and sustainable construction, bridging academic innovation with industrial application. With over ten years of global academic and consultancy experience, Dr. Senturk has led and collaborated on funded research projects, produced high-impact publications, and holds several national patents. His expertise spans structural health monitoring, sensor technologies, image processing, and additive manufacturing. His interdisciplinary approach enhances structural resilience and digital engineering. With 140 citations and an h-index of 6, Dr. Senturk’s commitment to cutting-edge innovation and international collaboration makes him an ideal candidate for the Best Researcher Award.

🌍 Professional Profile:

Orcid 

Scopus

Google scholar

🏆 Suitability for the Best Researcher Award

Dr. Mehmet Senturk exemplifies research excellence through his impactful contributions to structural and earthquake engineering. With a PhD in Structural Engineering and over a decade of academic and industry experience, he has led pioneering work in seismic design, sustainable structures, and smart monitoring technologies. His three national patents, 140+ Google Scholar citations, and extensive publication record in top-tier journals showcase his innovative approach and commitment to advancing engineering science. Dr. Senturk’s interdisciplinary skills—spanning robotics, image processing, and additive manufacturing—have fueled international collaborations and transformative research projects. His ability to bridge theory with real-world applications makes him a leader in engineering innovation and a highly deserving candidate for the Best Researcher Award.

🎓 Education 

Dr. Mehmet Senturk’s academic journey reflects a strong foundation in civil and structural engineering. He holds a PhD in Structural Engineering, where his research focused on advanced modeling and resilience of structural systems under seismic and thermal loads. His MSc in Earthquake Engineering provided expertise in seismic risk mitigation, retrofitting, and dynamic analysis. He began his academic pursuit with a BSc in Civil Engineering, establishing core competencies in materials science, construction practices, and geotechnical fundamentals. This progression has allowed Dr. Senturk to integrate theory with real-world applications, culminating in a comprehensive educational background ideal for interdisciplinary research and innovation in structural and sustainable engineering.

🏢 Work Experience 

Dr. Mehmet Senturk has over a decade of combined academic and industrial experience. He currently serves as a Tutor in Engineering at Coventry University, where he mentors future engineers and contributes to pioneering research. His career includes contributions to over 20 industry projects, with a focus on structural diagnostics, seismic assessment, and smart infrastructure systems. Dr. Senturk has collaborated with institutions such as the University of Sheffield, Istanbul Technical University, and Istanbul Rumeli University. His cross-functional work includes the design and testing of cold-formed steel, bolted precast systems, and high-temperature-resistant components. His experience spans robotics, sensor integration, and image processing, positioning him at the intersection of civil, digital, and structural engineering.

🏅 Awards and Honors 

Dr. Mehmet Senturk’s research achievements have earned national recognition through multiple Turkish patents, reflecting his contributions to innovative structural systems and testing technologies. His patented inventions include a two-piece high-temperature test furnace and advanced connection systems for reinforced concrete. He has been a prolific reviewer for leading journals such as Engineering Structures and Structures (Elsevier), completing over 30 peer-reviews. His role in collaborative projects with renowned academics from institutions like the University of Sheffield and Istanbul Technical University highlights his influence in global research. With 140 Google Scholar citations and an h-index of 6, Dr. Senturk’s consistent excellence in research, collaboration, and innovation underlines his strong suitability for awards recognizing outstanding research contributions.

🔬 Research Focus 

Dr. Mehmet Senturk’s research focuses on enhancing structural resilience through the integration of traditional civil engineering with advanced digital tools. His core areas include seismic performance of structures, finite element modeling, and sustainable construction. He investigates structural systems under complex load conditions—thermal, seismic, and axial—using both experimental and numerical methods. His research incorporates sensor technologies, structural health monitoring, and robotics platforms like Arduino and Raspberry Pi for real-time diagnostics. He is also active in additive manufacturing and digital prototyping of test systems. Dr. Senturk’s work supports the development of smarter, safer infrastructure through interdisciplinary innovation, evidenced by his patents, publications in top-tier journals, and ongoing collaborations across Europe and Turkey.

📊 Publication Top Notes:

  1. Senturk, M., Ilki, A., & Hajirasouliha, I. (2025).
    Replaceable monolithic-like beam-to-beam precast connection for RC frames: Concept development and design procedure.
    Structures.
    https://doi.org/10.1016/j.istruc.2025.108875

  2. Öztürk, F., Mojtabaei, S. M., Senturk, M., Pul, S., & Hajirasouliha, I. (2022).
    Buckling behaviour of cold-formed steel sigma and lipped channel beam–column members.
    Thin-Walled Structures, 173, 108963.
    https://doi.org/10.1016/j.tws.2022.108963

  3. Pul, S., Senturk, M., Ilki, A., & Hajirasouliha, I. (2021).
    Experimental and numerical investigation of a proposed monolithic-like precast concrete column-foundation connection.
    Engineering Structures, 239, 113090.
    https://doi.org/10.1016/j.engstruct.2021.113090

  4. Pul, S., Atasoy, A., Senturk, M., & Hajirasouliha, I. (2021).
    Structural performance of reinforced concrete columns subjected to high-temperature and axial loading under different heating-cooling scenarios.
    Journal of Building Engineering, 43, 102477.
    https://doi.org/10.1016/j.jobe.2021.102477

  5. Senturk, M., Pul, S., Ilki, A., & Hajirasouliha, I. (2020).
    Development of a monolithic-like precast beam-column moment connection: Experimental and analytical investigation.
    Engineering Structures, 206, 110057.
    https://doi.org/10.1016/j.engstruct.2019.110057

  6. Pul, S., & Senturk, M. (2017).
    A bolted moment connection model for precast column-beam joint.
    World Congress on Civil, Structural, and Environmental Engineering.
    https://doi.org/10.11159/icsenm17.129