Mr. Jonas Schwemmer | Additive Manufacturing | Young Scientist Award

Mr. Jonas Schwemmer | Additive Manufacturing | Young Scientist Award

Mr. Jonas Schwemmer, FH Campus Wien, Germany

Mr. Jonas Schwemmer is an emerging talent in the field of mechanical engineering and manufacturing technologies. With a strong academic foundation, he is pursuing a Master’s degree in High Tech Manufacturing at FH Campus Wien, focusing on cutting-edge advancements like additive manufacturing and lattice structures. Jonas has gained hands-on experience through diverse roles, including Product Application Engineer at Angst+Pfister, Change Manager at Alstom, and Functional Development Intern at CLAAS. His Bachelor’s thesis explored the use of metallic and ceramic materials in additive manufacturing, and his Master’s thesis involves the creation of personalized bicycle saddles using lattice structures. Jonas is passionate about integrating innovative technologies into manufacturing processes to improve efficiency and personalization. His dedication to research and practical applications positions him as a promising young scientist contributing to the future of high-tech manufacturing. 🏗️🔬🚴‍♂️

Professional Profile

Google Scholar

Suitability for Award 

Jonas Schwemmer exemplifies the qualities of a Young Scientist Award recipient through his innovative contributions to the field of high-tech manufacturing. His academic and professional journey reflects a strong commitment to advancing emerging technologies like additive manufacturing, lattice structures, and product personalization. Jonas’s Master’s thesis on creating personalized bicycle saddles demonstrates his ability to integrate research and practical applications, addressing real-world challenges. His professional experience, including roles at Angst+Pfister and Alstom, showcases his expertise in project management, technical sales, and change management. Jonas’s focus on cutting-edge manufacturing processes and his dedication to innovation highlight his potential to shape the future of mechanical engineering. His ability to combine research with practical problem-solving makes him a deserving candidate for the Research for Young Scientist Award. 🏆🔧🌟

Education 

Jonas Schwemmer is currently pursuing a Master’s degree in High Tech Manufacturing at FH Campus Wien, Austria (2022–2024), where he is achieving academic excellence with a grade average of 1.7. His Master’s thesis focuses on designing lattice structures to develop a personalized bicycle saddle, reflecting his interest in advanced manufacturing and product customization. Jonas earned his Bachelor’s degree in Mechanical Engineering with a specialization in Production Technology from OTH Amberg-Weiden, Germany (2018–2022), graduating with a thesis on the application of metallic and ceramic materials in additive manufacturing. His academic background combines theoretical knowledge with hands-on research, preparing him to address challenges in modern manufacturing. Jonas’s dedication to integrating innovative solutions into engineering processes underscores his commitment to advancing the field. 🎓🛠️📐

Experience

Jonas Schwemmer has cultivated a diverse range of professional experiences in mechanical engineering and manufacturing. Currently, he works as a Product Application Engineer at Angst+Pfister in Vienna, Austria, focusing on technical sales, project management, and customer support in vibration technology. Previously, Jonas served as a Change Manager at Alstom, where he organized and conducted change boards, developed KPIs, and maintained management tools. During his internship at CLAAS in Harsewinkel, Germany, he contributed to the functional development of threshing mechanisms for combines, utilizing CATIA V6 for mechanical design. These roles have equipped Jonas with expertise in project management, technical development, and innovative problem-solving. His ability to bridge theoretical knowledge with practical applications has made him a valuable contributor to high-tech manufacturing projects. 🌍🔧📊

Awards and Honors 

While Jonas Schwemmer’s career is still emerging, his achievements in academics and professional endeavors highlight his potential. His exceptional academic performance during his Master’s studies at FH Campus Wien, with a grade average of 1.7, demonstrates his dedication to excellence. Jonas’s innovative Master’s thesis on lattice structures for personalized bicycle saddles reflects his ability to apply advanced concepts to practical challenges. His Bachelor’s thesis on metallic and ceramic materials in additive manufacturing further underscores his research capabilities. Jonas’s recognition in professional roles, such as at Angst+Pfister and Alstom, showcases his ability to excel in diverse engineering environments. These accomplishments position Jonas as a rising star in the field of high-tech manufacturing. 🏅🔬🚴‍♂️

Research Focus 

Jonas Schwemmer’s research focuses on emerging trends in additive manufacturing, with a particular emphasis on personalization and advanced materials. His Master’s thesis explores the development of lattice structures for creating personalized bicycle saddles, combining engineering precision with user-specific customization. Jonas’s Bachelor’s research delved into the use of metallic and ceramic materials in additive manufacturing, highlighting their potential for diverse applications in production technology. His work emphasizes the integration of innovative materials and processes to improve manufacturing efficiency and adaptability. Jonas is passionate about bridging the gap between research and real-world applications, contributing to advancements in high-tech manufacturing. His focus on personalization and sustainability aligns with the evolving demands of modern engineering. 🛠️🧪🌍

Publication Top Notes

Title: Development and Evaluation of Customized Bike Saddle Pads Using Innovative Design for AM Approaches and Suitable Additive Manufacturing Processes
  • Year: 2025

 

Mr. Muhamamd Arslan Rauf | Recommendation system | Best Researcher Award

Mr. Muhamamd Arslan Rauf | Recommendation system | Best Researcher Award

Mr. Muhamamd Arslan Rauf, University of Electronic Science and Technology of China, China  

👨‍💼 Mr. Muhammad Arslan Rauf is a Ph.D. scholar specializing in Recommendation Systems, Zero-Shot Learning, and Deep Learning. With an extensive educational background including a Master’s degree in Computer Science, he brings deep analytical skills and research expertise to the table. Arslan has experience in both research and teaching, having served as a lecturer at Riphah International University. He is passionate about driving technological innovation in computer science and fostering a culture of continuous learning and innovation. Arslan’s certifications include courses in AWS Machine Learning and advanced statistical methods in Python.

🏫 Education and Training:

  • Doctorate in Software Engineering (PhD)
    • University of Electronic Science and Technology of China
    • Thesis: Zero-shot learning for Cold-strat Recommendation
  • Master of Science in Computer Science
    • National Textile University, Faisalabad, Pakistan
    • Final grade: CGPA 3.03/4.0, 71%
    • Thesis: Extraction of Strong and Weak regions of Cricket Batsmen through Text-commentary Analysis
    • Major: Machine Learning, NLP, Computer Vision

🏢 Work Experience:

  • Lecturer (Computer Science)
    • Riphah International University, Faisalabad, Pakistan
    • [24/09/2019 – 31/03/2021]

📜 Certification:

  • Getting Started with AWS Machine Learning – Coursera
  • Intro to Data and Data Science – 365 Data Science
  • Advanced Statistical methods in python – 365 Data Science

🔍 Research Interests:

Mr. Muhammad Arslan Rauf is a passionate Ph.D. scholar with a focus on cutting-edge research in Deep Learning and Recommendation Systems. His expertise also extends to Machine Learning and Zero-shot Learning. With a robust educational background and experience in both research and teaching, Arslan is committed to driving technological innovation and fostering a culture of continuous learning and innovation in computer science.

Publications Top Notes  :

  1. Fabric weave pattern recognition and classification by machine learning
    • Published in 2022 in the 2nd International Conference of Smart Systems and Emerging Technologies.
    • Cited by 2 articles.
  2. An Efficient Ensemble approach for Fake Reviews Detection
    • Published in 2023 in the 3rd International Conference on Artificial Intelligence (ICAI).
    • Cited by 1 article.
  3. Content-Based Venue Recommender Approach for Publication
    • Published in 2021 in the International Conference on Engineering Software for Modern Challenges.
    • Cited by 1 article.
  4. Extraction of Strong and Weak Regions of Cricket Batsman through Text-Commentary Analysis
    • Published in 2020 in the IEEE 23rd International Multitopic Conference (INMIC).
    • Cited by 1 article.