Ezekiel Olatunji | Built Environment | Best Researcher Award

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Mr. Ezekiel Olatunji | Built Environment
| Best Researcher Award

University of Wolverhampton | United Kingdom

Mr. Ezekiel Olatunji Doctoral Researcher at the University of Wolverhampton, Mr. Ezekiel Olatunji focuses on developing innovative frameworks for assessing and enhancing flood resilience within socially diverse communities. His research explores the intersection of community engagement, infrastructure planning, and risk management, with the goal of improving adaptive capacity and awareness in flood-prone regions. By integrating qualitative and quantitative research methodologies, including structured interviews, surveys, and participatory workshops, he investigates how social, economic, and cultural factors influence community preparedness and recovery. His work also incorporates the use of analytical tools such as SPSS and NVIVO to interpret complex data and extract meaningful insights that inform policy and practice. The outcomes of his research aim to guide local authorities, urban planners, and policymakers in designing more inclusive and resilient flood management strategies. Through his doctoral work, Mr. Olatunji contributes to the growing body of knowledge on disaster risk reduction and environmental resilience, aligning his efforts with the United Nations Sustainable Development Goals (SDGs), particularly those related to sustainable cities and climate action. His research underscores the importance of a community-centered approach to resilience, combining academic rigor with practical solutions for sustainable development.

Profile: Google Scholar | Orcid

Featured Publications

Olatunji, E. O., Adebimpe, O. A., & Oladokun, V. O. (2023). A fuzzy logic approach for measuring flood resilience at community level in Nigeria. International Journal of Disaster Resilience in the Built Environment, 14(4), [Article details pending].

Olatunji, E., Proverbs, D., Pathirage, C., Suresh, S., Cooper, J., & Capewell, L. (2024). A community-scale framework for evaluating flood resilience across socially diverse communities. Leeds Beckett University.

Olatunji, E., Proverbs, D., Pathirage, C., Suresh, S., & Ekundayo, O. (2025). Towards a participatory assessment of community flood resilience. Purdue University.

Olatunji, E., Ekundayo, O., Proverbs, D., Pathirage, C., Suresh, S., Emonson, P., & others. (2025). The role of stakeholder partnerships in building flood resilient communities: Case study of the FAIR project in the UK. Taylor & Francis.

Tongxing Wang | Civil Engineering | Young Scientist Award

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Dr. Tongxing Wang | Civil Engineering | Young Scientist Award

Beijing Engineering Consultation Co., Ltd of CARS| China

Dr. Tongxing Wang is a dedicated and accomplished researcher and engineer specializing in civil and structural engineering, with a focus on structural reliability, durability of prefabricated structures, and bridge wind resistance. He currently works at Beijing Engineering Consultation Co., Ltd of CARS, Beijing, where he applies his expertise in designing and optimizing resilient and high-performance bridge structures. Tongxing has extensive experience in both theoretical and practical aspects of civil engineering, demonstrating strong skills in software tools including Microsoft Office, Origin, AutoCAD, Abaqus, MATLAB, and OpenSEES, and possesses high proficiency in English. His academic background includes advanced studies in civil and bridge engineering, equipping him with a solid foundation for tackling complex challenges in infrastructure design and safety. Tongxing has contributed to several significant research projects, including the development of new systems and design methods for functionally restorable bridge structures under seismic events, and the design of bridge structures emphasizing seismic toughness. These projects highlight his ability to integrate innovative concepts into practical solutions for improving structural performance under extreme conditions. Tongxing has authored multiple influential publications in peer-reviewed journals such as Journal of Building Engineering, Construction and Building Materials, Engineering Structures, and Structures, addressing topics such as mechanical behavior of half-grouted sleeve connections, time-varying seismic fragility of precast bridges, and wind-resistance performance of large-span steel truss suspension bridges. He has also contributed to several patents in seismic-resistant and vibration-isolating bridge devices, reflecting his focus on practical engineering innovation. To date, Tongxing’s work has been cited by 15 documents across 5 published research articles, with an h-index of 3. Known for his analytical approach, problem-solving skills, and commitment to advancing civil engineering research, Tongxing continues to pursue innovative solutions for safe, durable, and resilient infrastructure, contributing significantly to the fields of structural reliability, seismic engineering, and bridge design.

Profile: Scopus

Featured Publications

  • Wang, T., Song, Y., Wang, L., & Han, Q. (2024). Experimental investigation of uncertain factors on the mechanical properties of half-grouted sleeve connected with large-diameter high-strength reinforcement. Journal of Building Engineering, 109087.

  • Wang, T., Wen, J., Hu, M., & Han, Q. (2024). Mechanical behavior of half-grouted sleeve connection under the coupling of sulfate erosion and dry-wet cycles. Construction and Building Materials, 456, 139281.

  • Wang, T., Hu, M., Jia, X., Bi, K., Han, Q., & Du, X. (2025). Time-varying seismic fragility and risk analysis of precast concrete bridges under the coupling of chloride corrosion and freeze-thaw cycles. Engineering Structures, 335, 120413.

  • Zhao, W., He, B., Zhang, Z., Wang, T.*, & Yang, H. (2025). Experimental and numerical study on wind-resistance performance of large-span steel truss suspension bridge across deep-cut canyon. Structures, 110124.

Ishini Nimasha Saparamadu| Civil Engineering | YouthInnovate Award

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Ms. Ishini Nimasha Saparamadu| Civil Engineering | YouthInnovate Award

Research Assistant, University of Moratuwa Sri Lanka

P. V. Ishini Nimasha Saparamadu is an innovative Research Assistant and Enterprise AI Solutions Engineer affiliated with the University of Moratuwa, Sri Lanka, and Intelligent Label Solutions. A high-achieving Quantity Surveying graduate with a GPA of 4.02/4.2, she has swiftly made a name for herself in the intersection of construction and artificial intelligence. Ishini is the founder of Concolabs (Pvt) Ltd, where she pioneered groundbreaking digital solutions like MeasureonAIR and Roboclause, which optimize construction cost tracking and automate legal interpretations, respectively. Her work is backed by academic rigor and practical application, evidenced by publications in peer-reviewed journals, awards at international symposiums, and AI-driven industry tools. She has collaborated on numerous research projects aimed at modernizing construction compliance through NLP and vector database-powered chatbots. Ishini is driven by a passion to revolutionize the construction sector with digital innovation and is committed to pushing the boundaries of what AI can achieve in engineering.

Profile

Orcid

Scholar

🎓 Education 

Ishini Saparamadu earned her Bachelor’s degree in Quantity Surveying from the University of Moratuwa, Sri Lanka, graduating with an impressive GPA of 4.02/4.2. Her academic journey has been marked by excellence and innovation, laying a strong foundation in construction economics, digital project management, and artificial intelligence applications in engineering. During her undergraduate studies, she actively engaged in interdisciplinary research, culminating in award-winning papers and recognition such as the Vidyajyothi Award for Most Outstanding Graduate. Her education was not only centered on traditional construction theories but also integrated modern computational tools like Building Information Modeling (BIM), Natural Language Processing (NLP), and ERP systems. She further enriched her learning through continuous professional development programs under globally recognized institutions such as RICS, CIOB, and CICES. Her commitment to bridging academic knowledge and industry needs reflects in her student memberships in several professional bodies and her contribution to forward-thinking academic publications and tech products.

💼 Experience 

With a dual role as a Research Assistant at the University of Moratuwa and Enterprise AI Solutions Engineer at Intelligent Label Solutions, Ishini brings a dynamic blend of academic rigor and industry impact. She founded Concolabs (Pvt) Ltd, where she led the development of MeasureonAIR, a mobile app automating construction measurements, and Roboclause, an AI chatbot that simplifies contract law queries. Her professional experience spans cost estimation, BIM integration, ERP development, and AI application in construction workflows. She has undertaken consultancy projects like BuildMarketLK, which leverages AI for market price forecasting, and Bimverse, a BIM-manipulation chatbot. Her involvement in both practical development and scholarly research positions her at the forefront of digital transformation in construction. Ishini has also served as a team lead in multiple collaborations, mentoring junior developers and researchers. Her contributions continuously demonstrate a commitment to integrating cutting-edge technology into conventional project management frameworks.

🏅 Awards and Honors 

Ishini Saparamadu has received multiple prestigious awards recognizing her academic brilliance and innovative spirit. Among her accolades is the Robin Jones Award, the Vidyajyothi Award for Most Outstanding Graduate, and Best Undergraduate Research Award. Her contributions were celebrated at the World Construction Symposium, where she received the Best Paper Award for her research in AI-driven construction contract analysis. She was also a CIOB Scholarship semi-finalist, showcasing her prominence among emerging global talents in construction. These honors underscore her dual excellence in both academia and practical innovation. Beyond these, Ishini has gained visibility through memberships in leading institutions such as the Royal Institution of Chartered Surveyors (RICS), Chartered Institute of Building (CIOB), and Chartered Institution of Civil Engineering Surveyors (CICES). Her accomplishments reflect not just academic superiority but also a commitment to industry evolution through applied research. These recognitions serve as a testament to her impact in the field at an early stage in her career.

🔬 Research Focus 

Ishini’s research centers on leveraging Artificial Intelligence to enhance construction law interpretation, project management, and compliance. Her core focus lies in Natural Language Processing (NLP) applications for automating legal documentation, as evidenced by her work on Roboclause, a contract law chatbot. She explores the use of vector database-powered chatbots for improving contract interpretation accuracy and reducing administrative delays. Another research stream involves affordance-led models for NLP adoption in construction project ecosystems. Ishini is also investigating bi-directional document management systems that ensure construction compliance using NLP. Her recent publications in Built Environment Project and Asset Management and Buildings reflect her commitment to translating theory into practical tools. She is also actively involved in projects integrating BIM with AI to enable intuitive interactions via natural language commands. Her interdisciplinary approach combines construction expertise with digital technologies to foster smarter, more compliant, and efficient project environments. She aspires to reshape the construction industry through innovation-led AI solutions.

📝 Conclusion

P. V. Ishini Nimasha Saparamadu is a highly suitable candidate for the YouthInnovate Award. Her profile reflects a rare combination of academic brilliance, real-world innovation, and a deep commitment to integrating AI into construction and legal processes. While she could strengthen her profile with more patents, books, and international collaborations, her current achievements—especially at such an early stage in her career—position her as a top contender for this recognition.

Publication

  • Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT
    Year: 2025
    Authors: P. Saparamadu, S. Sepasgozar, R.N.D. Guruge, H.S. Jayasena, A. Darejeh, …

 

  • BLUEPRINT FOR A NATURAL LANGUAGE PROCESSING POWERED NEXUS FOR REGULATORY AND LEGAL LANDSCAPE IN CONSTRUCTION
    Year: 2024
    Authors: P. Saparamadu, H.S. Jayasena, B.A.I. Eranga

 

 

Yogesh Thakare | Engineering | Best Researcher Award

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Yogesh Thakare | Engineering | Best Researcher Award

Dr Yogesh Thakare, Ramdeobaba University, Nagpur, India

Dr. Yogesh Thakare 🎓 is an accomplished researcher and educator in Electronics and Communication Engineering. He earned his Ph.D. (2020) from SGB Amravati University, specializing in DRAM design using submicron technology 💾. Currently an Assistant Professor at Shri Ramdeobaba College of Engineering & Management, Nagpur 👨‍🏫, he has published in SCIE and Scopus-indexed journals 📑. His research spans FPGA architectures, AI, IoT, and biomedical systems 🤖. A GATE qualifier (94.92%), he has led government-funded projects 💰 and organized AI & IoT workshops 🏗️. Passionate about innovation, he contributes to cutting-edge electronics and computing technologies ⚡.

Publication Profile

Google Scholar

Academic Excellence

Dr. Yogesh Thakare earned his Ph.D. in Electronics Engineering from SGB Amravati University in 2020, focusing on Dynamic Random Access Memory (DRAM) design using submicron technology ⚡🔬. His academic journey reflects excellence, having completed his M.Tech with Distinction (85.10%) 🎓🏆 and his B.E. with First-Class (72.62%) 📚✨. With a strong foundation in electronics and a passion for advanced semiconductor technologies, Dr. Thakare has made significant contributions to memory design and innovation. His expertise in microelectronics and circuit design continues to drive advancements in the field, shaping the future of high-performance computing and digital storage solutions 💡🔍.

Funded Research & Grants

Dr. Yogesh Thakare has demonstrated exceptional research leadership by securing ₹24.6 Lakhs from CSIR for developing an automated water distribution system 💧🔬. His innovative approach aims to enhance water management efficiency through automation, contributing to sustainable resource utilization 🌱💡. This significant funding underscores his expertise in engineering solutions that address real-world challenges 🏗️⚙️. With a strong commitment to technological advancement, Dr. Thakare continues to drive impactful research that promotes water conservation and smart distribution systems 🌍📊. His work not only fosters scientific progress but also supports community welfare by ensuring efficient and equitable water access 🚰✅.

Experience

Dr. Yogesh Thakare is an experienced educator with over 14 years of teaching in top engineering institutes 🏫, including Shri Ramdeobaba College of Engineering and Management, Nagpur. As an Assistant Professor, he has played a key role in shaping technical education 📚. His passion for emerging technologies has led him to organize numerous workshops on Artificial Intelligence 🤖, the Internet of Things 🌐, and Machine Learning 📊, empowering students with cutting-edge knowledge. Through his dedication to academic excellence and innovation, Dr. Thakare continues to inspire the next generation of engineers and researchers 🚀.

Research Focus

Dr. Yogesh Thakare’s research spans electronics, artificial intelligence, IoT, and machine learning 🤖📡. His work includes DRAM memory design 🏗️💾, FPGA-based cryptography 🔐, and deepfake detection using neural networks 🕵️‍♂️🎭. He has contributed to environmental intelligence systems 🌱📊, weather prediction for agriculture 🌦️🚜, and smart monitoring technologies 📡🏠. Additionally, he has explored cortisol detection for stress monitoring 🧪⚕️ and crime reporting frameworks 🚔📜. His interdisciplinary research integrates hardware and AI-driven solutions, making impactful advancements in computing, security, and human well-being 🔬💡. His innovative approach bridges technology and real-world applications, enhancing automation, safety, and intelligence. 🚀

Publication Top Notes

Intelligent Life Saver System for People Living in Earthquake Zone.

An Effect of Process Variation on 3T-1D DRAM

Analysis of power dissipation in design of capacitorless embedded DRAM

IoT-Enabled Environmental Intelligence: A Smart Monitoring System

Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory.

A Read-out Scheme of 1T-1D DRAM Design with Transistor Assisted Decoupled Sensing Amplifier in 7 nm Technology

Enhancing weather prediction and forecasting for agricultural applications using machine learning

FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices

Crafting visual art from text: A generative approach

Cortisol Detection Methods for Stress Monitoring: Current Insight and Future Prospect: A Review

An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in Advanced Driving Assistance Systems

Development and design approach of an sEMG-based Eye movement control system for paralyzed individuals

 

Hakim Azizi | Engineering | Best Researcher Award

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Dr.Hakim Azizi | Engineering | Best Researcher Award

Ziane Achour Djelfa university,  Algeria

Azizi Hakim is an experienced academic and researcher currently serving as a Maitre de Conférences Classe A at Ziane Achour University of Djelfa, Algeria. Born on August 8, 1985, in Taher, Algeria, he has devoted his career to teaching and research in the field of electrotechnics. His work primarily focuses on the impact of electromagnetic disturbances on high-power equipment and the development of intelligent diagnostic systems for industrial applications.

Profile

Scopus

Education 🎓

PhD in Electrotechnics from the University of Science and Technology Houari Boumediene, Algiers (2020). His doctoral thesis focused on the influence of external electromagnetic disturbances on high-field equipment. Magister in Electrical Engineering from the Ecole Militaire Polytechnique, Algiers (2011). His thesis explored the design of a measurement cell for evaluating radiated electromagnetic disturbances. Engineering Degree in Electrotechnics from Jijel University (2009), where he specialized in electrical networks and graduated with honors.

Experience 💼

Teaching practical and theoretical courses in electrotechnics, electromagnetic wave propagation, and algorithmic systems at institutions such as the Military Polytechnic School of Algiers and the University of Médéa. He has held academic positions at Ziane Achour University since 2013 and has conducted scientific research stays at the prestigious Ecole Centrale de Lyon in France (2016-2017, 2018-2019).

Research Interests 🔍

Electromagnetic systems, with a particular focus on how disturbances affect industrial equipment. Electrical power networks and the design of diagnostic tools for fault detection in high-power installations. Machine learning applied to industrial diagnostic systems, with a strong focus on intelligent monitoring and control systems.

Awards 🏆

A highly honorable mention for his doctoral thesis on electromagnetic disturbances. Acknowledgments for his contributions to the advancement of electrotechnic diagnostics and innovative approaches to electrical systems engineering.

Publications Top Notes📚

  1. Arc plasma energy evolvement in 60 kV network circuit breakers | Ocena energii łuku plazmowego w wyłącznikach sieciowych 60 kV
    • Authors: Belkhir, S., Ziani, A., Azizi, H., Moulai, H.
    • Year: 2022

 

  1. Sequential adaptive sampling based on cubic spline interpolation to accelerate the near field scanning
    • Authors: Kihal, M.C., Moulai, H., Azizi, H., Smartt, C., Thomas, D.W.P.
    • Year: 2022

 

  1. Analytical and numerical models compared with measurements for analysis of electromagnetic radiation through apertures of a metallic enclosure
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. A model assisted probability of detection approach for ECNDT of hidden defect in aircraft structures
    • Authors: Chebout, M., Azizi, H., Mekideche, M.R.
    • Year: 2020

 

  1. Electromagnetic shielding performance of a metallic enclosure with apertures
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. Electromagnetic interference from shielding effectiveness of a rectangular enclosure with apertures – Circuital approach, FDTD and FIT modelling
    • Authors: Azizi, H., Tahar Belkacem, F., Moussaoui, D., Bendaoud, A., Bensetti, M.
    • Year: 2014

 

Seyyed Ali Mousavi Gavgani | Civil Engineering | Best Scholar Award

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 Dr. Seyyed Ali Mousavi Gavgani | Civil Engineering | Best Scholar Award

 

👨‍🏫Professional Summary 🌟

Seyyed Ali Mousavi Gavgani is a dedicated Ph.D. candidate in Structural Engineering at Kharazmi University, Tehran, Iran, with a focus on Semi-Active Control of Offshore Platforms using Inertial-Based Dampers. His academic journey includes an outstanding Master’s degree in Structural Engineering from the University of Maragheh, where he explored Optimum Control of High Rise Buildings with Magneto-Rheological Dampers. Seyyed Ali has earned numerous honors and awards, showcasing his exceptional talents and commitment to academic excellence. His extensive list of publications, both in journals and conference proceedings, reflects his contributions to the field of structural engineering. As an active member of the academic community, he has served as a teaching and research assistant, displaying his dedication to advancing knowledge in structural control and engineering.

I currently work on the structural control due to seismic and wave excitations, using active (mainly tuned mass damper) and semi-active (mainly Magneto-rheological dampers) control devices. Also, i work on health monitoring of bridges with new methods (mainly signal processing methods). For the future i hope to generalize the works on real structures with considering all uncertainties.

🌐 Professional Profiles

🎓 Education

Ph.D. Structural Engineering, Kharazmi University, Iran (09/2021-Present) Thesis: Semi-Active Control of Offshore Platforms Using Inertial-Based Dampers Supervisor: Prof. Seyed Hossein Hosseini Lavassani (Iran) Advisor: Prof. Gebrail Bekdaş (Turkey) Cumulative GPA: 18.79 / 20.00 | Cumulative GPA on a 4.00 scale: 4.00. M.S. Structural Engineering, University of Maragheh, Iran (10/2017-02/2020) Thesis: Optimum Control of High Rise Buildings with Magneto-Rheological Damper under Near-Fault and Far-Fault Earthquake Motions Using Particle Swarm Optimization Algorithm Supervisors: Prof. Maziar Fahimi Farzam (Iran), Prof. Babak Alinejad (Iran) Advisor: Prof. Gebrail Bekdaş (Turkey) Cumulative GPA: 18.56 / 20.00 | Cumulative GPA on a 4.00 scale: 4.00. B.E. Civil Engineering, University of Maragheh, Iran (10/2013-09/2017) Cumulative GPA: 15.52 / 20.00.

🔍 Research Interests

Structural Control (with Passive, Active, and Semi-Active methods) Structural Health Monitoring Offshore Structures Vibrations Inertial-Based Dampers Soil-Structure Interaction (SSI)

🏆 Honors and Awards

Achieving elite by Iran’s National Elites Foundation (INEF), 2023. Achieving elite by Iran’s National Elites Foundation (INEF), 2022. Study for Ph.D. degree with exceptional talents program, 2021. Achieving elite by Iran’s National Elites Foundation (INEF), 2020. Graduation by obtaining the “First” rank of incoming students with a grade point average of “A” and defending the thesis with an “Excellent” grade, 2020. Winner of the grand scientific prize “Poulad” and being among the top researchers in the universities of East Azerbaijan province, 2020. Top researcher in master’s degree, 2019. Top researcher of the engineering faculty, 2019. Top paper of the conference “The first National Conference on Civil Engineering Role Reduction” in the field of structural and earthquake engineering, 2019. Study for master’s degree with exceptional talents program, 2017.

👨‍🏫 Assistant Experiences

Teaching Assistant:

University of Maragheh (09/2018-02/2020) Dynamics of Structures. Control of Structures. Kharazmi University (01/2023-06/2023) Control of Structures.

Research Assistant:

Assistant to Professor Maziar Fahimi Farzam (03/2018-02/2020), Assistant to Professor Seyed Hossein Hosseini Lavassani (09/2022-Present)

Technical Assistant:

  • Assistant to Professor Seyed Hossein Hosseini Lavassani.

📚Top Noted Publication

Current trends in the optimization approaches for optimal structural control Paper Published in 2020 Cited by 20

Semi-active control of buildings using different control algorithms considering SSI Paper Published in 2023 Cited by 10

Semi-active control of jacket platforms under wave loads considering fluid-structure interaction Paper Published in 2021 Cited by 9

Optimal control of jacket platforms vibrations under the simultaneous effect of waves and earthquakes considering fluid-structure interaction) Paper Published in 2023 Cited by 5

Control of a jacket platform under wave load using ATMD and optimization by HSA Paper Published in 2021 Cited by 4

statistical performance of semi-active controlled 10-storey linear building using mr damper under earthquake motions Paper Published in 2021 Cited by 3

Seismic Control of a 10-Storey Shear Frame Using Active Tuned Mass Dampers and Particle Swarm Optimization Algorithm Paper Published in 2020 Cited by 3

An analysis on new Cobiax roof Paper Published in 2015 Cited by 3

Optimal control of jacket platform under wave vibration with Active Tuned Mass Damper Paper Published in 2021 Cited by 2

Structural damage detection from dynamic responses of the bridge deck under a moving load using discrete wavelet transform Paper Published in 2022 Cited by 1

 

 

Ritha Nyirandayisabye| civil engineering | Young Scientist Award

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Ms. Ritha Nyirandayisabye | civil engineering | Young Scientist Award 

 

👨‍🏫 👨‍🏫Ms Ritha Nyirandayisabye at University ofUniversity of chinese academy of sciences Rwanda of Development civil engineering , stands as a distinguished Student/Member in the domain of Engineering. Holding a PhD candidate at University of Chinese Academy of Sciences at Institute of Mountain Hazards and Environment,China. Present, their professional journey exemplifies dedication and expertise. 📚

🌐 Professional Profiles

🎓 Education Background

PhD Candidate University of Chinese Academy of Sciences Institute of Mountain Hazards and Environment, China (Present), Master’s in Civil Engineering Fujian University of Technology, China (2019-2023), Bachelor of Science (Hons) in Civil Engineering University of Rwanda (2014-2018), Rwanda Advanced Certificate of Education, FAWE GIRLS’ SCHOOL, Rwanda (2011-2013)

 

🔍 Point of Researcher Interest

  • Road Construction Material
  • Water and Wastewater Treatment
  • Artificial Intelligence
  • Automatic Pavement Damage Predictions
  • Road Pavement Damage Prediction Based on Tire Noise Propagation using SVM Algorithm

👩‍🏫  Employment History

Reviewer International Journal of Pavement Research and Technology (August 2023 – Present). Secondary School Teacher KARENGERA TVET SCHOOL (May 2019 – August 2019) Subjects: Concrete Technology, Tile Construction, Autocad, Structure Design. Professional Internship AFRIPRECAST LTD (July 2018 – September 2018) Tasks: Casting of Precast Elements, Construction and Erection of Beams, Columns, Wall Panels. Academic Internship Landmark Studio (June – August 2017) Project: Construction of a Building for Storing Archives of MINECOFIN and BPR. Self-Employment Started own business of purchasing crops and selling to other businessmen (June – August 2016)

🏆 Training With Certificate

Digital Image Processing (May 2022), Accelerate Python for Data Science and Machine Learning with oneAPI AI Analytics Toolkit (April 2022), Rwanda Red Cross Training on Emergency First Aid (March 2018), Women in Innovation Program (June 2017), Africa Youth Leadership Forum (2015), Certificate of Chinese Proficiency, Certificate of English Proficiency, Elsevier Recognition Certificate

💻 Computer Skills

Data Processing Software (SPSS), MapGIS, PYTHON, Microsoft Word, Excel, and PowerPoint, Origin Software, XPS Software, Arch CAD, AutoCAD-3D, PROKON, PROTA, Scientific Report Writing, ArcGIS, ENVI

🤝  Social Skills

  • Hardworking and Eager to Learn
  • Knowledge in First Aid
  • Adaptation to the Particularities of a Multicultural Environment

🎭  Hobbies

  • Church Outreach
  • Teaching, Tutoring, and Mentoring
  • Sports: Basketball, Volleyball, Tennis

📚Top Noted Publication

    1. “Crack Damage Prediction of Asphalt Pavement Based on Tire Noise: A Comparison of Machine Learning Algorithms”
      • Published in Construction and Building Materials, January 2024
      • DOI Link
    2. “Automatic Pavement Damage Predictions Using Various Machine Learning Algorithms: Evaluation and Comparison”
      • Published in Results in Engineering, December 2022
      • DOI Link
    3. “Valuable and Sustainable Option for Reusing Carwash Wastewater in Nyarugenge District, Rwanda”
      • Published in Pol. J. Environ. Stud., April 2022
      • DOI Link
    4. “Intelligent Damage Diagnosis in Bridges Using Vibration-Based Monitoring Approaches and Machine Learning: A Systematic Review”
      • Published in Results in Engineering, December 2022
      • DOI Link
    5. “Behavior of Concrete-Encased Concrete-Filled Steel Tube Columns Under Diverse Loading Conditions: A Review of Current Trends and Future Prospects”