Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Germany

Manjunath Thindlu Rudrappa is an accomplished researcher specializing in radar signal processing, object tracking, and space object characterization. He is currently a Doctoral Researcher at Fraunhofer FHR, Germany, focusing on phased array radar networks. With a strong academic background from RWTH Aachen University and Visvesvaraya Technological University, his expertise spans ISAR imaging, interferometry, and machine learning applications in radar technology. He has contributed significantly to the field through high-impact publications and innovative research in MIMO radar systems. Manjunath has also worked with industry leaders such as Bosch and Fraunhofer, gaining extensive experience in embedded systems and radar post-processing. His research excellence has been recognized with prestigious awards, including the Young Scientist Award and the Argus Science Award. Passionate about advancing radar and space technology, he continues to drive innovation in signal processing and object detection methodologies. πŸš€πŸ“‘

Publication Profile

Google Scholar

πŸ“š Education

Manjunath earned his Bachelor of Engineering (B.E.) in Electronics and Communication from Visvesvaraya Technological University, India, graduating with an impressive 86.41% aggregate. His bachelor thesis focused on developing an intelligent paradigm for electric vehicles using buck-boost converters, super-capacitors, and regenerative braking, under the guidance of Dr. Bhakthavatsalam and Mr. Gowranga K.H from IISc Bangalore. He pursued his Master of Science (M.Sc.) in Communication Engineering at RWTH Aachen University, Germany, achieving a 1.5 aggregate. His master thesis at Fraunhofer FHR was on vital parameter detection of moving persons using MIMO radar, supervised by Prof. Dr.-Ing Peter Knott and Dr.-Ing Reinhold Herschel. Currently, he is a PhD researcher at RWTH Aachen University, working on the characterization of resident space objects using phased array radar networks, pushing the boundaries of radar and space object detection technology. πŸŽ“πŸ“‘

πŸ’Ό Experience

Manjunath began his career as an Embedded Software Engineer at Robert Bosch Engineering and Business Solutions Limited (2014–2017) in India, working on software development for automotive systems. Moving to Bosch Engineering GmbH, Germany, he served as an Embedded Application Software Developer (2018–2019), specializing in software solutions for automotive applications. His transition to Fraunhofer FHR in Germany marked his entry into radar research, where he worked as a Work Student (2019–2020) on vital parameter estimation, detection, tracking, and clustering. Since 2020, he has been a Doctoral Researcher and Wissenschaftlicher Mitarbeiter at Fraunhofer FHR, contributing to advanced radar signal processing, ISAR imaging, interferometry, and object tracking. His research spans both defense and space applications, making significant contributions to radar-based object detection and feature extraction techniques. πŸ”¬πŸš€

πŸ† Awards & Honors

Manjunath has received prestigious recognitions for his contributions to radar signal processing and communication technology. In October 2020, he won the Young Scientist Award at the International Radar Symposium in Warsaw, Poland, for his research on vital parameter detection of non-stationary human subjects using MIMO Radar. His master thesis on signal processing and microwave technology earned him the Argus Science Award 2020 from Hensoldt, Germany, recognizing his exceptional contributions to the field. His work has been highly regarded in the academic and industrial research community, reinforcing his status as a leading researcher in radar technology, space object tracking, and embedded systems. πŸ…πŸ“‘

πŸ”¬ Research Focus

Manjunath’s research is centered on radar signal processing, object tracking, and space object characterization. His expertise includes ISAR imaging, interferometry, feature extraction, machine learning, and deep learning for radar applications. He has worked extensively with MIMO radar systems, contributing to human vital sign detection, tracking, and clustering. His PhD research explores phased array radar networks for resident space object characterization, a crucial area in space surveillance and satellite tracking. Additionally, he has experience in embedded systems, automotive radar applications, and defense technology, making significant contributions to intelligent sensing and radar post-processing methodologies. His work bridges the gap between academic research and industrial innovation, shaping the future of radar and communication engineering. πŸŒπŸ“‘πŸš€

Publication Top Notes

1️⃣ Moving human respiration sign detection using mm-wave radar via motion path reconstruction – Cited by: 17 | Year: 2021 πŸ“‘πŸ‘€πŸ’¨
2️⃣ Vital parameters detection of non-stationary human subject using MIMO radar – Cited by: 11 | Year: 2020 πŸ“‘πŸ”¬πŸ§
3️⃣ Distinguishing living and non-living subjects in a scene based on vital parameter estimation – Cited by: 8 | Year: 2021 πŸ”πŸ‘€πŸ 
4️⃣ Characterisation of resident space objects using multistatic interferometric inverse synthetic aperture radar imaging – Cited by: 4 | Year: 2024 πŸ›°οΈπŸ“‘πŸ“Š
5️⃣ 3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse data – Cited by: 4 | Year: 2022 πŸŒπŸ“‘πŸ“‰
6️⃣ Improvements of GESTRAβ€”A phased-array radar network for the surveillance of resident space objects in low-Earth orbit – Cited by: 2 | Year: 2023 πŸš€πŸ›°οΈπŸ“Ά
7️⃣ RSO feature extraction using Super Resolution Wavelets and Inverse Radon Transform – Cited by: 1 | Year: 2022 πŸ“‘πŸ“ŠπŸ“‰
8️⃣ High-resolution human clustering based on complex signal correlation coefficients – Cited by: 1 | Year: 2022 πŸ πŸ“‘πŸ“Š
9️⃣ Characterisation of Resident Space Objects and Synchronisation Error Compensation in Multistatic Interferometric Inverse Synthetic Aperture Radar Imaging – Year: 2025 πŸ›°οΈπŸ“‘πŸ“Š
πŸ”Ÿ Clusterung von Detektionen – Year: 2022 πŸ“‘πŸ“πŸ”

Conclusion

Mr. Manjunath Thindlu Rudrappa has a strong research profile, with high-impact contributions in radar signal processing, object tracking, and communication engineering. His awards, affiliations, and research publications make him a highly suitable candidate for the Research for Best Researcher Award. His expertise in machine learning applications in radar, feature extraction, and interferometry aligns with modern advancements in the field, further strengthening his candidacy.

Bilal Elhajjar | Engineering | Industry Impact Academic Award

Dr. Bilal Elhajjar | Engineering | Industry Impact Academic Award

Process Engineering & Development Manager at United Steel Industrial Co, Kuwait

Dr. Bilal Elhajjar is a seasoned engineering professional and academic with over 18 years of experience in the steel and energy industries. He specializes in process engineering, logistics optimization, hydrogen management, and supply chain strategies. As the Process Engineering, Development, and Logistics Manager at KWTSTEEL, he has led over 1000 projects, including steel plant revamps, cost reduction initiatives, and feasibility studies. His expertise spans project management, industrial research, and technical leadership, saving his company approximately $1 million annually through optimized logistics. Academically, he holds a PhD in Fluid Mechanics and has contributed to cutting-edge research in nanofluidics, heat transfer, and industrial process modeling, with multiple high-impact publications. Previously, he served as an Assistant Professor and postdoctoral researcher, bridging academia and industry. His multidisciplinary knowledge and leadership in both industrial and academic settings make him a distinguished figure in engineering and applied research.

Professional Profile

Education πŸŽ“

Dr. Bilal Elhajjar holds a PhD in Fluid Mechanics and Heat and Mass Transfer from the University of Toulouse, where he graduated with the highest honors. He also earned a MicroMaster in Supply Chain Management from the Massachusetts Institute of Technology (MIT) in 2022. His academic journey includes a Master’s degree in Fluid Dynamics and Heat Transfer from the University of Toulouse, where he was the valedictorian, and a Bachelor’s degree in Engineering from the Lebanese University, also graduating as valedictorian. He has further specialized in renewable energy, earning Galileo Master Certificates in Hydrogen Energy and Renewable Energy Management & Finance from the Renewable Energy Institute. Additionally, he is a certified Hydrogen Energy Consultant Expert. Dr. Elhajjar has continuously enhanced his expertise through certifications in contract law (Harvard University), project management, and advanced quality techniques, equipping him with a strong foundation in both engineering and business management.

Experience 🌟

Dr. Bilal Elhajjar has over 18 years of professional experience spanning the steel, energy, and academic sectors. Since 2012, he has served as the Process Engineering, Development, and Logistics Manager at KWTSTEEL, where he has led over 1000 projects, optimizing supply chain operations, reducing costs, and enhancing plant efficiency. His expertise includes feasibility studies, process control, and commissioning steel plants and equipment. Prior to this, he was an Assistant Professor at the University of Evry Val d’Essonne, where he developed engineering courses and collaborated with industries on applied research projects. He also worked as a postdoctoral researcher at the University of Toulouse, contributing to nanofluidics and heat transfer studies. His career includes research stints at the University of Calgary and collaborations with Airbus and Gaztransport. With a strong blend of industrial leadership and academic research, Dr. Elhajjar has significantly contributed to engineering advancements and operational excellence.

Research Interests πŸ”¬

Dr. Bilal Elhajjar’s research interests span fluid mechanics, heat and mass transfer, nanofluidics, hydrogen energy, and industrial process optimization. His work focuses on enhancing efficiency in energy-intensive industries, particularly in steel manufacturing and hydrogen management. He has conducted extensive research on heat transfer modeling, separation of fluid mixtures, and the application of nanotechnology to improve thermal properties of fluids. His studies on Soret-driven convection and thermo-gravitational separation have contributed to advancements in porous media research. Additionally, he has explored hydrogen energy applications, sustainable industrial practices, and supply chain optimization. His research bridges academia and industry, applying scientific principles to real-world engineering challenges, including logistics efficiency and cost reduction in manufacturing. With numerous high-impact publications, Dr. Elhajjar continues to advance knowledge in energy systems, process engineering, and sustainable industrial solutions, making significant contributions to both theoretical research and practical industry applications.

Awards πŸ†

Dr. Bilal Elhajjar has been recognized for his outstanding contributions to engineering, research, and industrial process optimization. He graduated as the valedictorian in both his Bachelor’s and Master’s degrees, reflecting his academic excellence. His PhD in Fluid Mechanics from the University of Toulouse was awarded with the highest honors, acknowledging his pioneering research in heat transfer and fluid dynamics. Throughout his career, he has received various professional certifications and recognitions, including Galileo Master Certificates in Hydrogen Energy and Renewable Energy Management & Finance from the Renewable Energy Institute. His innovations in steel manufacturing and logistics optimization, which saved approximately $1 million annually, have positioned him as a leader in industrial process improvement. Additionally, he has been a visiting researcher at the University of Calgary and has collaborated with global organizations like Airbus and Gaztransport. His contributions continue to earn him recognition in both academic and industrial circles.

Research SkillΒ  πŸ”Β 

Dr. Bilal Elhajjar possesses exceptional research skills in fluid mechanics, heat and mass transfer, nanofluidics, hydrogen energy, and industrial process optimization. He excels in numerical modeling, computational simulations, and experimental analysis, applying advanced methodologies to solve complex engineering challenges. His expertise includes finite element analysis, thermal modeling, and process simulation, which he has utilized in industrial research and academic studies. He has conducted groundbreaking research on Soret-driven convection, thermo-gravitational separation, and nanotechnology applications in heat transfer, leading to multiple high-impact publications. Dr. Elhajjar is adept at conducting feasibility studies, analyzing industrial processes, and optimizing supply chains, integrating research-driven strategies to enhance operational efficiency. His ability to bridge theoretical research with practical industry applications makes him a valuable contributor to both academia and engineering fields. With strong analytical, problem-solving, and technical writing skills, he continues to innovate in energy management, sustainable manufacturing, and process improvement.

ConclusionΒ 

Dr. Bilal Elhajjar is a strong candidate for the Industry Impact Academic Award due to his extensive industrial expertise, leadership in engineering projects, and research contributions. His ability to bridge academia and industry is commendable, especially in process optimization, logistics, and hydrogen management. Strengthening the direct link between research and industry-wide impact could further enhance his application. Overall, his credentials align well with the award’s objectives.

Top Noted Publications πŸ“š

  • Author(s): Bilal Elhajjar, Mohamed Samir Larhrib, Davide Mombelli

  • Year: 2025

  • Title: Consequences of Switching From Lime to Dololime Fines Injection in Electric Arc Furnace

  • Journal: Engineering Reports

  • DOI: 10.1002/eng2.70095

  • Type: Journal Article

  • Publication Date: March 2025

Marina Guindi | Electrical Engineering | Best Researcher Award

Ms. Marina Guindi | Electrical Engineering | Best Researcher Award

Ms. Marina Guindi, American University of Kuwait, Kuwait

Based on the information provided, Ms. Marina Guindi appears to be a strong candidate for the Best Researcher Award due to her academic excellence, teaching experience, and involvement in research projects in electrical engineering. Below is an evaluation of her qualifications organized under relevant titles:

Publication profile

Academic Excellence πŸŽ“

Marina Guindi has a solid educational background in electrical engineering, having completed her Bachelor of Engineering at the American University of Kuwait with high honors (Magna Cum Laude) and consistently placed on the Dean’s and President’s honor lists. Her academic journey continued with a Master of Science in Electrical Engineering from Kuwait University, graduating with distinction. These achievements demonstrate her commitment to academic excellence and intellectual growth.

Teaching Experience 🏫

Marina has accumulated significant teaching experience as a Teaching Assistant at Kuwait University and the American University of Kuwait. This experience, spanning multiple years and institutions, highlights her ability to convey complex concepts, engage students in the learning process, and contribute to academic environments. Her role as a teaching assistant also suggests strong communication and leadership skills, which are vital for a researcher.

Research Projects πŸ”

Marina has demonstrated her research capabilities through her senior capstone project on “Motor Current Signature Analysis for Fault Detection in Induction Motors” and her master’s thesis focused on the “Optimal Location and Sizing of Renewable Distributed Generations and Electric Vehicle Charging Stations.” Both projects are highly relevant to contemporary challenges in electrical engineering, showcasing her ability to address complex technical problems and contribute innovative solutions.

Technical Skills πŸ’»

Marina is proficient in various technical tools and programming languages, including MATLAB, Simulink, LabVIEW, PSpice, and Java. Her skills in using specialized software like Multisim, Ultiboard, and Quartus indicate her readiness to engage in advanced research and development projects. These competencies enhance her ability to carry out sophisticated analyses and simulations, which are essential for cutting-edge research.

Publication Top NotesΒ Β 

Optimal Location and Sizing of Renewable Distributed Generations and Electric Vehicle Charging Stations

Signature Analysis as a Medium for Faults Detection in Induction Motors

Conclusion πŸ†

Marina Guindi’s academic achievements, teaching experience, research projects, and technical skills make her a compelling candidate for the Best Researcher Award. Her background suggests a strong potential for future contributions to electrical engineering research, particularly in the areas of renewable energy integration and fault detection systems. Her commitment to education and research excellence aligns with the criteria typically sought for such prestigious recognition.

 

Xiaozhou Lei | Computer Science | Best Researcher Award

Xiaozhou Lei | Computer Science | Best Researcher Award

Dr Xiaozhou Lei, shanghai university, China

Evaluation for the Best Researcher Award: Dr. Xiaozhou Lei.

Publication profile

Orcid

Research Contributions and Innovations

Dr. Xiaozhou Lei has made notable contributions to the field of image enhancement through his pioneering work on the cell vibration energy model. This model, which he first proposed, quantitatively describes the relationship between stimulus intensity and energy during cell photothermal conversion. His work has successfully applied this model to address significant challenges in low-light enhancement and image dehazing, offering a novel approach to these problems. This research represents a unique intersection of biological modeling and image processing, with potential applications across various scientific and technological domains.

Academic Achievements

Dr. Lei has demonstrated a solid academic foundation, having earned his B.S. and M.S. degrees in mechanical design and mechatronic engineering, respectively, from the Wuhan Institute of Technology. He is currently pursuing his Ph.D. in control science and engineering at Shanghai University, which underscores his commitment to advancing his expertise. Despite being early in his academic career, Dr. Lei has completed or is involved in 9 research projects, published 5 papers in SCI-indexed journals, and contributed to the field by serving as a reviewer for the Pattern Recognition Journal.

Industry and Professional Involvement

Dr. Lei’s involvement in 11 consultancy and industry projects highlights his ability to bridge the gap between academic research and practical applications. Although he has not yet published books or patents, his work has significant implications for the fields of image processing and photothermal conversion. His professional network is also expanding, as seen in his reviewer role, although he does not currently hold any editorial appointments or professional memberships.

Conclusion

Dr. Xiaozhou Lei’s innovative research on the cell vibration energy model and its application to image enhancement positions him as a strong candidate for the Best Researcher Award. His work is both original and impactful, demonstrating a deep understanding of both the theoretical and practical aspects of his field. While his academic and professional profile is still developing, his contributions thus far are promising and reflect significant potential for future advancements. Thus, he is a suitable candidate for recognition in this award category.

Publication top notes

Low-light image enhancement based on cell vibration energy model and lightness difference

Low-Light Image Enhancement Using the Cell Vibration Model

 

Daniso Beswa | Technology | Best Researcher Award

Dr. Daniso Beswa | Technology | Best Researcher Award

Senior lecturer, UNIVERSITY OF JOHANNESBURG, South Africa

Daniso Beswa is a distinguished senior lecturer and researcher at the University of Johannesburg, South Africa. With a deep commitment to advancing food security and nutrition, Dr. Beswa brings a wealth of expertise in food technology and security to his role. 🌟

Publication Profile

Strengths for the Award:

  1. Extensive Research Contributions: Daniso Beswa has a robust portfolio of research in food science, particularly focusing on food security, indigenous food sources, and functional ingredients. His work on provitamin A-biofortified maize and the use of lesser-known local food sources highlights his commitment to addressing critical nutritional issues and advancing food science.
  2. High-Quality Publications: Beswa has a substantial number of peer-reviewed journal articles and book chapters, showcasing his research impact. His publications in respected journals such as Foods (Basel), Molecules, and the International Journal of Food Science reflect the quality and relevance of his work.
  3. Supervision and Mentoring: He has successfully supervised numerous postgraduate students, including PhD and MSc candidates. This demonstrates his role in fostering the next generation of researchers and his ability to guide and mentor emerging scientists.
  4. Community Engagement: Beswa’s involvement in community projects, such as the Gwakwani Extended Projects and teaching at local schools, indicates his commitment to applying his research in practical, community-centered contexts.
  5. Professional Development and Teaching: His ongoing professional development and extensive teaching experience in food science and technology further support his expertise and contribution to the field.

Areas for Improvement:

  1. Broader Impact and Outreach: While Beswa’s research is focused and impactful, increasing outreach efforts and translating his findings into policy recommendations or broader public awareness could enhance the societal impact of his work.
  2. Grant Funding and Collaborations: Securing more substantial research grants and fostering international collaborations could elevate the scope and scale of his research projects, leading to potentially groundbreaking advancements in food technology and security.
  3. Diversification of Research Topics: Expanding research into new and emerging areas of food science, such as sustainable food systems or innovative food processing technologies, could further enhance his research profile.

Conclusion:

Daniso Beswa is a highly deserving candidate for the Best Researcher Award. His extensive contributions to food science and technology, significant research output, successful supervision of postgraduate students, and community engagement underscore his exceptional qualifications. Addressing areas for improvement, such as expanding outreach and securing more research funding, could further enhance his already impressive impact in the field.

 

Education:

Dr. Beswa earned his PhD in Food Security from the University of KwaZulu-Natal, where his research centered on provitamin A-biofortified maize and its role in combating vitamin A deficiency. He also holds a Master’s in Food Technology from the University of Johannesburg, focusing on innovative uses of composite flours in breadmaking. πŸŽ“

Experience:

As a senior lecturer at the University of Johannesburg, Dr. Beswa has conducted significant research into indigenous and lesser-known food sources as functional food ingredients. His work aims to enhance food security and nutritional quality through practical applications and innovative solutions. πŸ“š

Research Focus:

Dr. Beswa’s current research explores the potential of indigenous and less commonly used local food sources as functional ingredients, investigating their health benefits and applications in food technology. His past research has also delved into the use of biofortified maize and composite flours. πŸ”¬

Awards:

Dr. Beswa has been recognized for his contributions to food security and technology, although specific awards are not listed, his work is highly regarded in the field for its impact on addressing global nutritional challenges. πŸ†

Publications

  1. Effect of Cowpea and Pumpkin Powders on the Physicofunctional Properties, Total Phenolic Content, Antioxidant Activity, and Consumer Acceptability of Soup
    International Journal of Food Science
    2024-01
  2. Effect of Common Cooking and Drying Methods on Phytochemical and Antioxidant Properties of Corchorus olitorius Identified Using Liquid Chromatography-Mass Spectrometry (LC-MS)
    Molecules
    2022-12-19
  3. Cannabis sativa Cannabinoids as Functional Ingredients in Snack Foodsβ€”Historical and Developmental Aspects
    Plants
    2022-12-01
  4. Prospective Role of Indigenous Leafy Vegetables as Functional Food Ingredients
    Molecules
    2022-11-18
  5. Quantification of Oil Fractions of Deep-Fried Wheat Dough and Batter Enriched with Oat and Wheat Bran
    Journal of Food Quality

 

Wilberforce Murikah | Computer Science | Best Researcher Award

Mr. Wilberforce Murikah | Computer Science | Best Researcher Award

Mr. Wilberforce Murikah,United States International University- Africa, Kenya

πŸ‘¨β€πŸ’Ό Mr. Wilberforce Murikah, based in Nairobi, Kenya, is an accomplished Information Systems Auditor and emerging scholar. With a background in Computer Information Systems and ongoing studies in Information Systems & Technology at USIU-Africa, he brings over 8 years of expertise in data strategy development and governance. His research focuses on transparency gaps and gender biases in AI, using mixed methods approaches. Wilberforce has led impactful projects in AI ethics, including finalist recognition at the Oxford African Society Seed Fund and significant contributions to automated audit reporting solutions in the energy sector. πŸ“Š

Publication profile

Scopus

Orcid

Education

Master of Science, Information Systems & Technology, United States International University – Africa (Ongoing)

Bachelor of Science, Computer Information Systems, Kenya Methodist University

Professional Experience

Wilberforce has contributed significantly in roles such as Internal Auditor at Hass Petroleum Group and Information Systems Auditor at Jubilee Insurance Company, where he implemented automated audit reporting solutions and enhanced data governance frameworks. He also served as an IT Projects Manager at Solarkiosk Solutions, overseeing ERP system implementations across multiple countries.

 

Research Focus

Wilberforce Murikah’s research primarily focuses on the bias and ethics of AI systems applied in auditing. His systematic review, published in Scientific African, critically examines the implications of AI on auditing practices, emphasizing ethical considerations and bias mitigation strategies. By analyzing 83 high-quality publications spanning from 2018 to 2023, Murikah contributes valuable insights into how AI technologies influence transparency and fairness in financial auditing processes. His work underscores the importance of developing governance frameworks that address ethical challenges posed by AI, aiming to ensure equitable outcomes in financial decision-making.

Publication Top Notes

Peng Jiap | Mechanical Engineering | Best Researcher Award

Dr. Peng Jiap | Mechanical Engineering | Best Researcher Award

Dr. Peng Jiap, Zhejiang University, China

Dr. Jiao Peng πŸŽ“, male, is an assistant researcher with a Ph.D. in engineering from Zhejiang University (2021), mentored by Professor Chen Zhiping. He holds a bachelor’s degree from East China University of Science and Technology (2015). Specializing in the strength and stability of thin-walled structures and pressure-bearing equipment πŸ’‘, Dr. Peng has been involved in multiple high-profile research projects, including those funded by the National Natural Science Foundation of China. With over 20 publications, including 8 SCI papers as the first or corresponding author πŸ“, he has also applied for 3 national invention patents πŸ“œ.

 

Publication profile

Google Scholar

Education and Background

Jiao Peng, a male assistant researcher, achieved a postgraduate degree and holds a Ph.D. in engineering. He graduated from East China University of Science and Technology in June 2015 with a bachelor’s degree in engineering. Subsequently, he earned his doctorate from Zhejiang University in September 2021, under the supervision of Professor Chen Zhiping.

 

Research Focus

Jiao Peng’s research primarily revolves around the buckling behavior and structural stability of thin-walled cylindrical shells and plates πŸ› οΈ. His work delves into various aspects such as localized axial compression loads, initial imperfection sensitivity, and the effects of geometric defects under non-uniform in-plane compression. Peng’s studies not only contribute significantly to understanding the mechanics of these structures but also advance methodologies in experimental and numerical analyses. His expertise extends to incorporating functionally graded materials and composite structures in enhancing structural performance, crucial for applications in pressure vessels, cylindrical shells, and related engineering domains πŸ“Š.

 

Publication Top Notes