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.

Elena Strelnikova | Engineering and Technology | Best Paper Award

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Prof. Elena Strelnikova | Engineering and Technology | Best Paper Award

Anatolii Pidgorny Institute of Power Machines and Systems, NAS of Ukraine | Ukraine

Dr. E.A. Strelnikova is a distinguished Ukrainian researcher specializing in structural mechanics, numerical methods, and fluid-structure interaction. She completed her MSc in Mathematics at V. N. Karazin Kharkiv National University in 1974, followed by a PhD in 1983 on 2D contact problems for anisotropic cracked plates, and a DSc in 2003 focusing on the strength and vibrations of turbo-machine units using the boundary element method. Dr. Strelnikova has held full professorships at Kharkiv Polytechnic Institute, Karazin National University, and Kharkiv National University of Radio Electronics. Since 2007, she has been a leading researcher at the A. Pidhorny Institute of Power Machines and Systems of the National Academy of Sciences of Ukraine. Her research interests include singular and hypersingular integral equations, fracture dynamics, and fluid-structure interaction. She has published over 261 papers, with more than 1986 citations and an h-index of 29 . Dr. Strelnikova’s work has significantly contributed to the development of computational techniques combining boundary and finite element methods to analyze fluid-structure interaction problems. Her contributions have been recognized through various awards in engineering and applied mathematics. Dr. Strelnikova’s extensive experience and research have made her a leading figure in her field, with her work continuing to influence studies in structural mechanics and computational methods.

Profile : Google Scholar

Featured Publications

Ventsel, E. S., Naumenko, V., Strelnikova, E., & Yeseleva, E. (2010). Free vibrations of shells of revolution filled with a fluid. Engineering Analysis with Boundary Elements, 34(10), 856–862.

Sierikova, O., Koloskov, V., Degtyarev, K., & Strelnikova, O. (2021). The deformable and strength characteristics of nanocomposites improving. Materials Science Forum, 1038, 144–153.

Strelnikova, E., Kriutchenko, D., Gnitko, V., & Degtyarev, K. (2020). Boundary element method in nonlinear sloshing analysis for shells of revolution under longitudinal excitations. Engineering Analysis with Boundary Elements, 111, 78–87.

Strelnikova, E. A., Choudhary, N., Kriutchenko, D. V., Gnitko, V. I., et al. (2020). Liquid vibrations in circular cylindrical tanks with and without baffles under horizontal and vertical excitations. Engineering Analysis with Boundary Elements, 120, 13–27.

Karaiev, A., & Strelnikova, E. (2011). Singular integrals in axisymmetric problems of elastostatics. International Journal of Modeling, Simulation, and Scientific Computing, 11(1), 115–130.

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.

Rajeev Kumar | Engineering and Technology | Engineering Award of Excellence

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Dr. Rajeev Kumar | Engineering and Technology  | Engineering Award of Excellence

Lovely professional University | India

Dr. Rajeev Kumar is an accomplished researcher and academician in Mechanical Engineering with over 15 years of teaching, research, and mentoring experience. He earned his Ph.D. in Mechanical Engineering from IKGPTU, Kapurthala (2023), preceded by an M.Tech in Design Engineering from NIT Kurukshetra (2010) and a B.Tech in Mechanical Engineering from Kurukshetra University (2007). Currently serving as Associate Professor and Assistant Dean at Lovely Professional University, he has contributed extensively to the fields of crack propagation and prognosis, metal matrix composites, polymer composites, and mechanical composites. His prolific academic output includes 74 publications with 874 citations, an h-index of 18, and 64 Scopus-indexed documents, reflecting strong global research visibility. Dr. Kumar has been actively engaged in guiding Ph.D. and postgraduate students while also participating in grant proposals such as the ISRO-funded project on fiber optic acoustic emission sensing. His dedication has earned him recognition, including the Research Excellence Award on Teacher’s Day Celebration 2024 at LPU. Beyond teaching, he has contributed as an editorial board member and reviewer for reputed international journals. Passionate about innovation, he also holds patents in renewable energy and mechanical system design. Dr. Kumar continues to inspire through impactful research, academic leadership, and scientific service.

Profile : Orcid

Featured Publications

“Design and analysis of a stairs-climbing military bot for efficient and stable movement on various terrains”

“Unveiling of mechanical, morphological, and thermal characteristics of alkali-treated flax and pine cone fiber   reinforced polylactic acid (PLA) composites: fabrication and characterizations”

“Exploring the implications of CoCrFeNiCu high entropy alloy coatings on tribomechanical, wetting behavior, and   interfacial microstructural characterizations in microwave-clad AISI 304 stainless steels”

“Synergistic Enhancement of Super Capacitive Performance Through Sol-Gel Auto-Combustion Synthesis of Nickel Ferrite Nano-Particles and Reduced Graphene Oxide Hybrid Nano-Composite Electrode”

“Corrosion analysis of stainless steel exposed to Karanja oil biodiesel: a comparative study with commercial           diesel fuel, surface morphology analysis, and long-term immersion effects in alternative fuels”