David Owolabi | Civil Engineering | Best Researcher Award

Published on by Popular Engineer

Mr. David Owolabi | Civil Engineering | Best Researcher Award

Morgan State University | United States

Mr. David Olusogo Owolabi is a researcher and educator specializing in sustainable infrastructure and resilient engineering. He holds a PhD (in progress) and an MSc in Sustainable Infrastructure and Resilient Engineering from Morgan State University, and a BSc in Architecture from Caleb University. In his role as a Graduate Research & Teaching Assistant at Morgan State, he supports undergraduate lab instruction in CAD and structural analysis (SAP2000) while conducting experimental research in self-healing bacterial concrete, fiber integration, and MICP-based crack remediation. Earlier, as an Architectural Designer at Kreativity Projects (Lagos) and an intern at Ab.dt Partnership (Ibadan), he developed design concepts, 3D visualizations, working drawings, and integrated sustainable design principles. His research interests span microbial self-healing concrete, bio-based infrastructure resilience, green building practices, and material durability. His published works include comparative analyses of autogenous vs microbial calcite precipitation in concrete and studies on crack healing performance via microbial carriers. He has also contributed to interdisciplinary studies on air quality in engineering labs and noise mitigation in buildings. He is a certified professional in Autodesk Revit and AutoCAD, has earned certifications in machine learning and socially just coding, and is committed to applying data-driven, sustainable innovation in civil infrastructure.

Profile : Google Scholar 

Featured Publications

Ahmad, I., Shokouhian, M., Owolabi, D., Jenkins, M., & McLemore, G. L. (2025). Assessment of biogenic healing capability, mechanical properties, and freeze–thaw durability of bacterial-based concrete using Bacillus subtilis, Bacillus sphaericus, and Bacillus megaterium. Buildings, 15(6), 943.

Ahmad, I., Shokouhian, M., Jenkins, M., McLemore, G. L., & Owolabi, D. O. (2025). Crack healing performance of microbial self-healing concrete using different carriers. In Structures Congress 2025 (pp. 362–372). American Society of Civil Engineers.

Owolabi, D. O., Shokouhian, M., Ahmad, I., Jenkins, M., & McLemore, G. L. (2025). Comparative analysis of autogenous and microbial-based calcite precipitation in concrete: State-of-the-art review. Buildings, 15(18), 3289.

Dunmoye, A. C., Owolabi, O. A., Banjo, A. V., Abiri, T. I., Dunmoye, I. D., & Owolabi, D. O. (2025). Noise mitigation strategies for vertical sound transmission in buildings with wooden floor. INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 271(1), 1009–1018.

Balogun, G. Y., Owolabi, D. O., Ige, M. O., Abiri, T., Abiodun, P. O., & Owolabi, O. A. (2025). Assessing air quality at HBCU engineering laboratories to enhance student safety and learning. 2025 ASEE Annual Conference & Exposition. American Society for Engineering Education.

Marius Šumanas | Computer Vision | Best Researcher Award

Published on by Popular Engineer

Assist. Prof. Dr Marius Šumanas | Computer Vision | Best Researcher Award

Vilnius Tech | Lithuania

Dr. Marius Šumanas is an Associate Professor in the Department of Mechatronics, Robotics, and Digital Manufacturing at Vilnius Gediminas Technical University (VILNIUS TECH).  His research interests encompass robotics, machine learning, and digital manufacturing. Dr. Šumanas has authored several publications, including a study on improving positioning accuracy of articulated robots using deep Q-learning algorithms. He has also participated in various conferences, presenting topics related to machine learning applications in robotics. In addition to his academic roles, Dr. Šumanas has practical experience in the industry. Since 2018, he has been working as a Process Engineer and ERP Systems Business Analyst at MB Pramones algoritmas. He has also held positions in marketing and sales management in previous years. Dr. Šumanas’ work bridges the gap between theoretical research and practical application, contributing to advancements in robotics and digital manufacturing.

Profile : Orcid

Featured Publications

Andrijauskas, I., Šumanas, M., Dzedzickis, A., Tanaś, W., & Bučinskas, V. (2025). Computer vision-based optical odometry sensors: A comparative study of classical tracking methods for non-contact surface measurement. Sensors.

Šumanas, M., Treciokaite, V., Čerškus, A., Dzedzickis, A., Bučinskas, V., & Morkvenaite-Vilkonciene, I. (2022). Sitting posture monitoring using Velostat based pressure sensors matrix. In Smart Sensor Systems (pp. 1–12). Springer.

Bučinskas, V., Dzedzickis, A., Šumanas, M., Sutinys, E., Petkevicius, S., Butkiene, J., Virzonis, D., & Morkvenaite-Vilkonciene, I. (2022). Improving industrial robot positioning accuracy to the microscale using machine learning method. Machines, 10(10), 940.

Šumanas, M., Urbonis, D., Petronis, A., Stankaitis, S., Januškevičius, T., Iljin, I., & Dzedzickis, A. (2021). Evaluation of motion characteristics using absolute sensors. In Advances in Mechatronics and Intelligent Robotics (pp. 1–12). Springer.

Šumanas, M., Petronis, A., Urbonis, D., Januskevicius, T., Rasimavicius, T., Morkvenaite-Vilkonciene, I., Dzedzickis, A., & Bučinskas, V. (2021, April 22). Determination of excavator tool position using absolute sensors. In 2021 Open Conference of Electrical, Electronic and Information Sciences (eStream). IEEE.