Saulius Baskutis | Manufacturing Applications | Excellence in Computer Vision Award

Published on by Computer Vision Awards

Prof. Dr. Saulius Baskutis | Manufacturing Applications | Excellence in Computer Vision Award

Professor at Kaunas University of Technology | Lithuania

Prof. Dr. Saulius Baskutis is a distinguished academic and researcher whose career spans decades of teaching, research, and industrial engagement in the field of engineering sciences. He has contributed significantly to the advancement of materials testing, welding processes, coatings, renewable energy, logistics, and device diagnostics, while also actively participating in collaborative international projects. His professional journey reflects a balance between academic excellence and industrial practice, providing him with the ability to develop innovative, practical solutions for technological challenges. With numerous publications in reputable, indexed journals and presentations at international conferences, he has built a strong scholarly reputation. His leadership in EU-funded projects and membership in professional associations highlights his influence in both academic and professional communities. Recognized for his commitment to advancing science and technology, he continues to inspire students, researchers, and industry experts, while shaping the future of sustainable engineering practices through impactful research and collaborations.

Professional Profiles 

Scopus Profile | ORCID Profile 

Education

Prof. Dr. Saulius Baskutis began his academic journey at Kaunas Polytechnical Institute, where he earned an engineering qualification and later pursued doctoral studies in technical sciences, which shaped the foundation of his research career. His academic training combined deep theoretical knowledge with applied aspects of mechanical and material sciences, enabling him to explore innovative solutions in manufacturing and energy systems. During his postgraduate years, he developed expertise in welding, coatings, and materials testing, areas that would remain central to his research. He later expanded his knowledge through continuous professional development and specialized training programs across Europe, focusing on Industry 4.0, renewable energy, mechatronics, and advanced manufacturing technologies. This commitment to lifelong learning has strengthened his academic portfolio and ensured that his teaching and research remain aligned with evolving industrial needs. His education reflects a continuous pursuit of excellence, integrating traditional engineering knowledge with modern approaches to meet current and future challenges.

Professional Experience

Prof. Dr. Saulius Baskutis has built an impressive professional career combining academia and industry, demonstrating strong leadership and applied expertise in engineering. He has served at Kaunas University of Technology in various roles, progressing from assistant and lecturer to associate professor and professor, contributing extensively to teaching and curriculum development in manufacturing and mechanical engineering. His professional journey is enriched by industrial experience with organizations in Lithuania, Denmark, and Finland, where he worked as an engineer, manager, and project leader. These positions enabled him to apply academic insights to solve real-world engineering problems while fostering stronger connections between research and practice. He has also held leadership roles in European and national research projects, demonstrating the ability to guide interdisciplinary teams and achieve impactful outcomes. His active participation in Erasmus programs and scientific exchanges further broadened his expertise, while his engagement in professional associations has extended his influence within the engineering community.

Research Interest

Prof. Dr. Saulius Baskutis has a diverse range of research interests that reflect his commitment to addressing technological and societal challenges through engineering innovations. His primary focus lies in materials testing, welding processes, and coatings, where he investigates methods to improve durability, performance, and cost-effectiveness in industrial applications. He is also actively engaged in exploring renewable energy sources, with particular attention to sustainable energy production, district heating systems, and the integration of green technologies into industrial processes. His work in logistics and device diagnostics complements these efforts by improving efficiency, safety, and reliability in manufacturing and energy systems. He is keenly interested in the intersection of Industry 4.0 and smart manufacturing, contributing to projects that integrate robotics, automation, and advanced digital technologies. These research interests demonstrate his vision of combining scientific discovery with practical applications to promote sustainable development and enhance global competitiveness in engineering and technological industries.

Research Skill

Prof. Dr. Saulius Baskutis possesses a comprehensive set of research skills that reflect his long-standing academic and industrial experience in engineering. He is highly skilled in experimental methods, particularly in the testing of materials, welding techniques, and coating technologies, where precision and innovation are essential. His ability to design, conduct, and analyze experiments has led to impactful findings published in internationally recognized journals. He demonstrates strong competencies in project management, having successfully led and contributed to national and international research initiatives, including EU-funded programs. His skills extend to collaborative research, working with multidisciplinary teams across Europe to address complex technological challenges. Additionally, he is adept in applying digital tools such as CAD, CAM, and CNC systems to align with Industry 4.0 practices. His ability to bridge theoretical knowledge with applied solutions highlights his strength as both a researcher and innovator, ensuring his contributions remain relevant and forward-looking.

Publications Top Notes

Title: Numerical Method for Internal Structure and Surface Evaluation in Coatings
Authors: Tomas Kačinskas, Saulius Baskutis
Year: 2025

Title: Modeling of Vibrational-Centrifugal Strengthening for Functional Surfaces of Machine Parts
Authors: Vadym Stupnytskyy, Yaroslav Kusyi, Egidijus Dragašius, Saulius Baskutis, Rafal Chatys
Year: 2024

Title: Investigation of the Properties of Anti-Friction Coatings Deposited with Different Casting Methods
Authors: Tomas Kačinskas, Saulius Baskutis, Jolanta Baskutienė, Lina Kavaliauskienė
Year: 2024

Title: Analytical Model of Tapered Thread Made by Turning from Different Machinability Workpieces
Authors: Oleh Onysko, Volodymyr Kopei, Cristian Barz, Yaroslav Kusyi, Saulius Baskutis, Michal Bembenek, Predrag Dašić, Vitalii Panchuk
Year: 2024

Title: Control of the Parameters of the Surface Layer of Steel Parts During Their Processing Applying the Material Homogeneity Criterion
Authors: Kusyi Yaroslav, Stupnytskyy Vadym, Kostiuk Olha, Oleh Onysko, Egidijus Dragašius, Saulius Baskutis, Rafał Chatys
Year: 2024

Title: Simulation and Analytical Studies of Chip Formation Processes in the Cutting Zone of Titanium Alloys
Authors: Vadym Stupnytskyy, Xianning She, Egidijus Dragašius, Saulius Baskutis, Oleh Prodanchuk
Year: 2023

Title: Pool Boiling of Ethanol on Copper Surfaces with Rectangular Microchannels
Authors: Robert Kaniowski, Robert Pastuszko, Egidijus Dragašius, Saulius Baskutis
Year: 2023

Title: Influence of Additives on the Mechanical Characteristics of Hardox 450 Steel Welds
Authors: Saulius Baskutis, Jolanta Baskutiene, Egidijus Dragašius, Lina Kavaliauskiene, Neringa Keršiene, Yaroslav Kusyi, Vadym Stupnytskyy
Year: 2023

Title: Modeling and Simulation of Machined Surface Layer Microgeometry Parameters
Authors: Vadym Stupnytskyy, Egidijus Dragašius, Saulius Baskutis, She Xianning
Year: 2022

Title: Agent-Based Modelling Approach for Autonomous Vehicle Influence on Countries’ Welfare
Authors: Saulius Baskutis, Valentas Gružauskas, Peter Leibl, Linas Obcarskas
Year: 2022

Title: Effect of Chemical Composition of Clay on Physical-Mechanical Properties of Clay Paving Blocks
Authors: Rolandas Avizovas, Saulius Baskutis, Valentinas Navickas, László Tamándl
Year: 2022

Title: Perspectives and Problems of Using Renewable Energy Sources and Implementation of Local “Green” Initiatives: A Regional Assessment
Authors: Saulius Baskutis, Jolanta Baskutiene, Valentinas Navickas, Yuriy Bilan, Wojciech Cieśliński
Year: 2021

Title: Mechanical Properties and Microstructure of Aluminium Alloy AW6082-T6 Joints Welded by Double-Sided MIG Process Before and After Aging
Authors: Saulius Baskutis
Year: 2019

Title: Monitoring of Welding Process Parameters in Gas Tungsten Arc Welding of Carbon Steel Weldments
Authors: Saulius Baskutis
Year: 2019

Title: Effect of Weld Parameters on Mechanical Properties and Tensile Behavior of Tungsten Inert Gas Welded AW6082-T6 Aluminium Alloy
Authors: Saulius Baskutis
Year: 2019

Title: Research on Mechanical Properties of TIG Welded Aluminum Alloy
Authors: Bendikiene R., Baskutis S., Baskutiene J., Ciuplys A.
Year: 2018

Title: Comparative Study of TIG Welded Commercially Pure Titanium
Authors: Saulius Baskutis
Year: 2018

Title: Minimizing the Trade-Off Between Sustainability and Cost Effective Performance by Using Autonomous Vehicles
Authors: Saulius Baskutis
Year: 2018

Title: The Analysis of Dissimilar Metal Weld Joints
Authors: Saulius Baskutis
Year: 2018

Title: Experimental Study of Welded Joints of Aluminium Alloy AW6082
Authors: Baskutis S., Baskutiene J., Bernotaitis E.
Year: 2017

Title: The Vibratory Alignment of the Parts in Robotic Assembly
Authors: Saulius Baskutis
Year: 2017

Title: Influence of Welding Modes on Weldability of Structural Steel Lap Joints in Laser Welding
Authors: Saulius Baskutis
Year: 2017

Title: Warehouses Consolidation in the Logistic Clusters: Food Industry’s Case
Authors: Saulius Baskutis
Year: 2016

Title: Nano and Microhardness Testing of Heterogeneous Structures
Authors: Saulius Baskutis
Year: 2016

Title: The Temperature Control Impact to the Food Supply Chain
Authors: Baskutis S., Navickas V., Gružauskas V., Olencevičiute D.
Year: 2015

Conclusion

Prof. Dr. Saulius Baskutis is highly deserving of the Best Researcher Award for his longstanding dedication to advancing engineering science, particularly in the fields of coatings, welding technologies, renewable energy, and sustainable manufacturing. His significant contributions through impactful publications, leadership in international research projects, and strong collaboration between academia and industry highlight his role in driving innovation and practical solutions for society. With his expertise, professional recognition, and commitment to mentoring future generations, he demonstrates both past excellence and strong potential for continued research leadership and global impact in the years ahead.

Gehendra Sharma | Manufacturing Science | Best Researcher Award

Published on by Computer Vision Awards

Mr. Gehendra Sharma | Manufacturing Science | Best Researcher Award

Research Engineer at Mississippi State University, United States

Mr. Gehendra Sharma is a mechanical engineer and research professional with extensive experience in designing, optimizing, and analyzing complex mechanical systems. He has a strong background in coupled system design, robust design, surrogate modeling, finite element modeling, data analysis, and machine learning approaches applied to engineering design. Over his career, he has contributed to national defense projects, biomedical device development, and advanced manufacturing research, demonstrating his ability to translate theoretical methods into practical solutions. He has an impressive publication record, including research in high-quality journals and conferences, reflecting his commitment to advancing engineering knowledge. Alongside his technical expertise, he has been actively involved in mentoring students, leading academic initiatives, and volunteering in social and educational programs. His professional achievements are complemented by his dedication to teaching and knowledge sharing, making him a well-rounded researcher with strong leadership, innovation, and societal impact potential.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile

Education

Mr. Gehendra Sharma earned his Master of Science in Mechanical Engineering from the University of Oklahoma, where he focused on designing coupled engineered systems under uncertainty and studied multi-criteria optimization, design theory, data-driven decision making, and applied statistical methods. His research involved integrating robust design methodologies into cloud-based systems to archive design knowledge and support design exploration. Prior to his master’s, he completed his Bachelor of Technology in Mechanical Engineering from Motilal Nehru National Institute of Technology, where he worked on mechanization and prototyping of a domestic roti roller and studied a wide range of mechanical engineering topics including machine design, thermodynamics, fluid mechanics, material science, and computer-aided design. His academic journey has been marked by consistently high performance, merit scholarships, and practical projects that combined theoretical knowledge with hands-on design and experimentation, providing him with a strong foundation in engineering principles, modeling, and system-level problem solving.

Professional Experience

Mr. Gehendra Sharma has worked as a research engineer at the Center for Advanced Vehicular Systems, contributing to projects that enhance defense capabilities, optimize additive manufacturing processes, and develop protective barriers and biomedical devices. He has implemented design optimization, robust design, finite element modeling, surrogate modeling, and machine learning approaches across diverse projects. His earlier experience as a graduate research assistant involved exploring robust solutions for coupled engineered systems, developing decision frameworks, and advancing composite structure design under uncertainty. He has also interned at Tata Research Development & Design Centre, applying robust design methods to composite structures, thermal power plant modeling, and gearbox analysis. Before his research career, he worked as a design engineer at Esco Couplings & Transmissions, leading product development, experimental testing, and manufacturing improvements. Throughout his career, he has consistently bridged academic research and industrial applications, demonstrating expertise in engineering design, analysis, prototyping, and innovation.

Research Interest

Mr. Gehendra Sharma’s research interests focus on design and optimization of mechanical and coupled systems under uncertainty, robust design exploration, surrogate modeling, finite element analysis, data-driven decision making, and machine learning applications in engineering. He has applied these methods in defense-related projects, additive manufacturing optimization, biomedical device design, and lightweight protective structures. He is particularly interested in integrating robust design methodologies with simulation, experimental testing, and predictive modeling to create efficient and reliable solutions for complex engineering problems. His work spans multi-objective optimization, system-level modeling, and development of decision support frameworks to guide engineers in exploring high-dimensional design spaces. He also explores the translation of theoretical methods into practical applications, including real-time monitoring, predictive modeling, and design automation, reflecting a commitment to advancing both the scientific understanding and industrial implementation of innovative engineering solutions.

Award and Honor

Mr. Gehendra Sharma has received multiple recognitions for his contributions to engineering research and innovation. He has been awarded cash prizes for competitions such as hydropower optimization challenges and received distinctions for his papers at international conferences. He has consistently earned merit scholarships and awards during his academic career for outstanding performance and innovation. His research projects have been recognized for excellence in design, robust optimization, and multi-objective engineering solutions. Additionally, he has been acknowledged for leadership in student committees, teaching, and mentoring roles, demonstrating a combination of technical skill and commitment to academic and community development. These awards and honors reflect both his technical expertise and his dedication to advancing engineering knowledge while contributing positively to professional and educational communities.

Research Skill

Mr. Gehendra Sharma possesses a diverse set of research skills, including design of coupled systems, robust and multi-objective design optimization, surrogate modeling, finite element analysis, data analysis, and predictive modeling using machine learning. He is proficient in programming languages such as Python, MATLAB, C, R, and VBA and is skilled in CAD and simulation tools including SolidWorks, Creo, ANSYS, Abaqus, and AutoCAD. He has experience in prototyping, experimental testing, and both destructive and non-destructive testing of components and materials. His research skills also include data-driven decision-making, algorithm development, and integrating theoretical methods into practical engineering solutions. In addition, he has mentoring and teaching skills that support knowledge transfer, enabling others to explore design problems, conduct simulations, and apply advanced methodologies, reflecting his comprehensive capability as a researcher and educator.

Publications Top Notes

Title: An ontology for representing knowledge of decision interactions in decision-based design
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2020
Citation: 32

Title: A method for robust design in a coupled decision environment
Authors: G Sharma, JK Allen, F Mistree
Year: 2021
Citation: 17

Title: Template-based configuration and execution of decision workflows in design of complex engineered systems
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 16

Title: Data driven integrated design space exploration using iSOM
Authors: RR Sushil, M Baby, G Sharma, AB Nellippallil, P Ramu
Year: 2022
Citation: 11

Title: Design of composite structures through decision support problem and multiscale design approach
Authors: RK Pathan, SB Beemaraj, A Salvi, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 11

Title: Inverse multi-scale robust design of composite structures using design capability indices
Authors: SB Beemaraj, RK Pathan, AG Salvi, G Sharma, F Mistree, JK Allen
Year: 2020
Citation: 8

Title: Classification and execution of coupled decision problems in engineering design for exploration of robust design solutions
Authors: G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 8

Title: Designing concurrently and hierarchically coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 7

Title: Exploring robust decisions in the design of coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 6

Title: Designing coupled engineered systems under uncertainty
Authors: G Sharma
Year: 2020
Citation: 5

Title: Multi-objective robust design exploration of a canine ventricular shunt for managing hydrocephalus
Authors: G Sharma, AB Nellippallil, R Yingling, NY Lee, A Shores, R Miralami
Year: 2021
Citation: 3

Title: Thermal Calibration of Finite Element Models in Wire Arc Directed Energy Deposition of ER-120S-G Using Thermocouples and Infrared Cameras
Authors: J Bassett, G Sharma, J Xie, J Storey, HG Kim, T Stone, H Dozier, S Mun
Year: 2025
Citation: 2

Conclusion

Mr. Gehendra Sharma stands out as a deserving candidate for the Best Researcher Award due to his impactful contributions to engineering research, defense applications, and innovative design methods that address real-world challenges. His work demonstrates a balance of academic excellence, industrial relevance, and societal benefit, particularly through projects in national defense, biomedical engineering, and advanced manufacturing. With his strong foundation in research and leadership, he has the potential to become a leading figure in multidisciplinary innovation and global collaborations, making him a valuable contributor to the advancement of science and technology.

Mr. Shanmukha Rao Mutcha | Industrial | Best Researcher Award

Published on by Computer Vision Awards

Mr. Shanmukha Rao Mutcha | Industrial | Best Researcher Award

Shanmukha Rao Mutcha at Council of Scientific and Industrial Research Institute of Minerals and Materials Technology, India

Profile

Orcid

Education

Mr. Mutch Shanmukha Rao is currently pursuing a Ph.D. in Physical Sciences from the Academy of Scientific and Innovative Research at the CSIR-Institute of Minerals and Materials Technology (IMMT) in Bhubaneswar, India. He began his doctoral journey in January 2021 and is presently serving as a Senior Research Fellow (SRF). His academic foundation includes an M.Sc. in Physics from Dr. B. R. Ambedkar University, Srikakulam, where he secured a CGPA of 7.94/10, and a B.Sc. in Mathematics, Physics, and Chemistry with a CGPA of 7.52/10 from the same university.

🏆 Awards and Achievements

Mr. Rao has garnered notable recognition for his contributions in the field of physical sciences. He was awarded the Junior Research Fellow (JRF) position in May 2020 and has since been awarded the Senior Research Fellow (SRF) role. He qualified the prestigious CSIR-UGC National Eligibility Test for Assistant Professor in December 2019. His accolades also include prizes in debate competitions on National Science Day, participation in various science and technology conferences, and successful completion of multiple training programs.

🔬 Research Interests

  • Synthesis of Metal Oxide Films and Nanoparticles using Physical and Chemical Vapor Deposition techniques.
  • Characterization and Surface Morphology of Nanostructures.
  • Photocatalytic Dye Degradation of Oxide Materials for Environmental Remediation.
  • Hazardous Gas Sensing Applications.
  • Hall Sensing and Electrical Properties of Nanostructures.

💼 Professional Experience

  • Senior Research Fellow (SRF) at CSIR-IMMT (2023-Present), focusing on the growth of metal oxide thin films for gas sensing and photocatalysis.
  • Junior Research Fellow (JRF) at CSIR-IMMT (2021-2023), working on similar projects.
  • Teaching and Research Supervisor for M.Sc. Physics summer interns.

Publications

Hydrothermally Grown Globosa-like TiO2 Nanostructures for Effective Photocatalytic Dye Degradation and LPG Sensing

  • Authors: Mutcha Shanmukha Rao, Benadict Rakesh, Gunendra Prasad Ojha, Ramasamy Sakthivel, Bishweshwar Pant, Kamatchi Jothiramalingam Sankaran
  • Journal: Molecules
  • Year: 2024