Marius Šumanas | Computer Vision | Best Researcher Award

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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.

Sravya Yelamanchili | Industrial Engineering | Industrial Engineering Award

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Mrs. Sravya Yelamanchili | Industrial Engineering | Industrial Engineering Award

Juniper Elbow Co. Inc | United States

Mrs. Sravya Yelamanchili is an Industrial and Mechanical Engineer with over a decade of hands-on experience in advanced manufacturing especially in the naval and marine systems domain where she has engineered high-integrity marine closures such as watertight, airtight, and ballistic hatches, doors, and scuttles.  Her professional journey includes roles such as Methods Engineer and Engineering Manager, during which she designed detailed assembly protocols, developed configurable BOM frameworks, led ERP (MACOLA, Syteline) migrations, instituted SOPs, and drove continuous improvement programs using lean and Six Sigma principles. Her certifications include Six Sigma Green Belt and NDT Level II (Visual Testing). Her research work spans surface roughness modeling robotics in welding, and process parameter optimization. She has authored peer-reviewed publications and is cited in international journals; her current h-index is [h-index value, 4 with approximately citation count, 115 total citations. She has been recognized for technical leadership and Gold Medal achievement in her undergraduate degree. With deep expertise in process standardization, lean transformation, and engineering leadership, she continues to drive innovation in marine manufacturing, with particular interest in improving first-pass yield, reducing production lead times, and integrating advanced tooling and robotics to raise quality and throughput.

Profile : Orcid

Featured Publications

Yelamanchili, S. (2025, September 22). Use of additive technologies for the accelerated production of spare parts for marine hatches. International Journal of Science and Research.

Yelamanchili, S. (2025, September 10). Assessing the impact of robotic welding on the productivity of watertight-door manufacturing. International Journal of Scientific Engineering and Science.

Yelamanchili, S., Prasad, M. V. R. D., & Tejaswi, K. S. (2014, November 10). Study of the influence of process parameters on surface roughness when Inconel 718 is dry turned using CBN cutting tool by artificial neural network approach. International Journal of Materials, Mechanics and Manufacturing.