Simon Yishak | Manufacturing Engineering | Academic Excellence in Mechanics Award

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Mr. Simon Yishak | Manufacturing Engineering | Academic Excellence in Mechanics Award

Lecturer at Arba Minch University, Ethiopia

🌟 Simon Yishak Kolebaye is a passionate academic leader serving as a lecturer and Head of the Automotive Engineering Department at Arba Minch University, Ethiopia, since 2016. 🎓 He earned his BSc in Mechanical Engineering from Mizan Tepi University and an MSc in Manufacturing Engineering and Automation from Arba Minch University. 🛠️ With nine years of professional experience, Simon focuses on bridging academia and industry through innovative research, community engagement, and industry-technology transfer. 🚀 His expertise in advanced manufacturing and process optimization reflects his commitment to Ethiopia’s technological growth. 🌍

Publication Profile

scopus

Education🎓

MSc in Manufacturing Engineering and Automation (2021) – Arba Minch University BSc in Mechanical Engineering, Manufacturing Stream (2015) – Mizan Tepi University Specialized in advanced manufacturing, CNC technology, additive manufacturing, process planning, welding machines, and automation. 🤖 His academic training integrates engineering principles with cutting-edge technologies to enhance manufacturing systems. 🚀

Experience 📌

Head of Automotive Engineering Department at Arba Minch University (2016–present)  Led department operations, curriculum development, and student mentorship. Coordinated research projects bridging academic solutions with industry needs. Actively engaged in teaching advanced manufacturing technologies, workshop technology, and process optimization. Contributed to community-focused projects, enhancing education and safety in Ethiopia.

Awards and Honors 🏆

Recognized for exceptional leadership in academic program management. Received grants for innovative research projects funded by Arba Minch University.  Honored for community service initiatives improving local education and infrastructure.  Acknowledged for excellence in publishing impactful research in advanced manufacturing.

Research Focus 🔬

Focused on additive manufacturing and process optimization for energy storage, graphene composites, and pipeline applications. Specialized in thermoplastic infill patterns, laser scanning for nickel alloys, and biocomposites. Worked on sustainability, utilizing waste-derived materials for manufacturing innovations.  Published studies on CNC automation, rapid prototyping, and advanced manufacturing systems. Dedicated to developing scalable, eco-friendly, and cost-effective manufacturing solutions.

Publications 📖

1. Additive Manufacturing (3D Printing)

Graphene Enhanced PETG Optimization:

Title: Fused deposition modeling process parameter optimization on the development of graphene enhanced polyethylene terephthalate glycol

Journal: Scientific Reports (2024, 14(1), 30744)

Focus: Optimizing parameters for FDM using graphene-reinforced PETG.

Citations: 0

Graphene-Reinforced PETG Impeller Production:

Title: Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach

Journal: Results in Engineering (2024, 24, 103018)

Focus: Application of multi-criteria decision-making tools for PETG optimization.

Citations: 4

Thermoplastic Polyurethane for Pipeline Applications:

Title: Analysis and Optimization of Thermoplastic Polyurethane Infill Patterns for Additive Manufacturing in Pipeline Applications

Journal: Advances in Polymer Technology (2024)

Focus: Infill pattern optimization in AM applications.

Citations: 0

2. Laser Manufacturing

Nickel-Based Superalloys:

Title: Role of laser power and scan speed combination on the surface quality of additive manufactured nickel-based superalloy

Journal: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications (2024, 238(6), pp. 1142–1154)

Focus: Investigates laser parameters on the surface quality of nickel alloys.

Citations: 13

3. Composites and Biocomposites

Biocomposites of Jute/Bagasse/Coir/Nano TiO2:

Title: An Investigation on the Activation Energy and Thermal Degradation of Biocomposites of Jute/Bagasse/Coir/Nano TiO2/Epoxy-Reinforced Polyaramid Fibers

Journal: Journal of Nanomaterials (2022)

Focus: Studied thermal degradation of sustainable biocomposites.

Citations: 33

Conclusion

Mr. Simon Yishak demonstrates exceptional qualifications and expertise that align closely with the goals of the Research for Academic Excellence in Mechanics Award. His academic rigor, innovative research, and practical contributions to manufacturing engineering position him as a strong candidate for this prestigious recognition. By focusing on international collaborations, patent development, and expanding his research into emerging fields, Simon could further solidify his candidacy and amplify his contributions to the discipline.

Hugo Bildstein | Sensor-based Control | Best Researcher Award

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Dr. Hugo Bildstein | Sensor-based Control | Best Researcher Award

Dr. LAAS-CNRS, France

Hugo Bildstein is a PhD candidate and Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, affiliated with the RAP team at LAAS-CNRS. His academic background includes a Master’s degree in Robotics from Toulouse and a previous engineering degree in Mechatronics from ENS Rennes. Hugo’s research focuses on visual predictive control for mobile manipulators, with notable publications in leading journals and conferences, including Robotics and Autonomous Systems (RAS) and IEEE/ASME AIM. His work explores strategies for improving visibility, manipulability, and stability in robotic systems.

Professional Profiles:

scopus

Academic Background 🎓:

Hugo Bildstein is currently a Temporary Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, working within the RAP team at LAAS-CNRS, Toulouse. His academic journey includes a PhD at the same university from 2020-2024, following a Master’s degree in Robotics: Decision and Control (RODECO) at the University of Toulouse 3 – Paul Sabatier. Hugo also holds a Master’s degree in Mechatronics from ENS Rennes and ranked 11th in the Agrégation in Industrial Engineering Sciences, Electrical Engineering option in 2019.

Research Activities and  📚:

Hugo’s research focuses on enhancing visual predictive control for mobile manipulators. His work includes:“Visual Predictive Control for Mobile Manipulators: Visibility, Manipulability, and Stability” – to be published in Robotics and Autonomous Systems (RAS) in 2024.“Enhanced Visual Predictive Control Scheme for Mobile Manipulators” – presented at the 2023 European Conference on Mobile Robots (ECMR) in Coimbra, Portugal.“Multi-camera Visual Predictive Control Strategy for Mobile Manipulators” – showcased at the 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) in Seattle, USA.“Visual Predictive Control Strategy for Mobile Manipulators” – discussed at the 2022 European Control Conference (ECC) in London, United Kingdom.

Research Analysis for Hugo Bildstein

Strengths for the Award:

  1. Innovative Contributions: Hugo Bildstein’s research focuses on cutting-edge topics in robotics, particularly visual predictive control for mobile manipulators. His work on enhancing control schemes through multi-camera strategies and visual feedback systems is highly relevant and forward-thinking in the field of robotics and autonomous systems.
  2. Diverse Research Outputs: Bildstein has published several papers in prestigious journals and conferences, demonstrating a consistent and impactful research output. His papers, such as those presented at the European Conference on Mobile Robots (ECMR) and the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), highlight significant contributions to the field.
  3. Academic Excellence: His strong academic background, including a PhD in Robotics and a Master’s degree in Robotics and Control, coupled with high rankings in competitive exams like the Agrégation in Industrial Engineering Sciences, underscores his deep expertise and commitment to the field.
  4. Teaching and Research Experience: As a Teaching and Research Assistant at the University of Toulouse 3 – Paul Sabatier, Bildstein not only engages in advanced research but also contributes to academic teaching, showcasing his ability to bridge research and education effectively.

Areas for Improvement:

  1. Citation Impact: While Bildstein has several publications, some of his recent papers have yet to accumulate significant citations. Increasing the visibility and impact of his work through broader dissemination and collaboration could enhance his academic profile.
  2. Interdisciplinary Applications: Expanding research to explore interdisciplinary applications of his work could provide broader impact and open new avenues for practical implementation of his findings.
  3. Research Collaboration: Engaging in collaborative research with industry partners or other academic institutions could provide additional resources and perspectives, potentially leading to more comprehensive studies and real-world applications.

Conclusion:

Hugo Bildstein is a promising candidate for the Best Researcher Award due to his innovative contributions to the field of robotics, particularly in visual predictive control for mobile manipulators. His strong academic background, diverse research outputs, and active role in teaching and research highlight his potential and dedication. Addressing areas such as citation impact and interdisciplinary applications could further enhance his standing in the research community.

✍️Publications Top Note :

1. Enhanced Visual Predictive Control Scheme for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

Citations: 0

2. Multi-camera Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville, V. Cadenat

3. Visual Predictive Control Strategy for Mobile Manipulators

Authors: Hugo Bildstein, A. Durand-Petiteville
Citations: 2
Access: Open access

Assist Prof Dr. Onur Denizhan | Robotics | Best Researcher Award

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Assist Prof Dr. Onur Denizhan | Robotics | Best Researcher Award

Assist Prof Dr. Onur Denizhan, Universidad ECCI, Colombia

Assist Prof Dr. Onur Denizhan is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Scopus

ORCID

Google scholar

🔍 Research Interests:

Kinematics analysis and synthesis of mechanisms, mechanism design, design optimization, origami-based mechanism design, automotive systems, robotics, haptics, bio-inspired compliant mechanisms, control, mechatronics, applications of artificial intelligence in engineering design.

👨‍🏫 Employment:

Feb. 2024 – Present: Assistant Professor, Department of Mechanical Engineering, Batman University, Batman, TRDec. 2021 – Jan. 2024: Lecturer, Department of Electronics and Automation, Batman University, Batman, TR

🎓 Education:

Aug 2017 – Aug 2021: Ph.D. in Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA, USSep 2015 – Aug 2017: Ph.D. Student in Mechanical Engineering, Columbia University (Transferred to Lehigh)Jan 2014 – Aug 2015: M.Sc. in Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA, USSep 2007 – Jun 2011: B.Sc. in Mechanical Engineering, Inonu University, Malatya, TRSep 2023 – Present: B.A. in Economics, Anadolu University, Eskisehir, TR

🏆 Awards and Honors:

2020: Rossin College Graduate Leadership and Service Award, Lehigh University2019 – 2021: Teacher Assistant of the Year Honorable Mentions, Lehigh University2020: Graduate Student Senate Champion, Lehigh University2019 – 2021: Lehigh University Department of Mechanical Engineering and Mechanics Tuition Award

🎓 Scholarships and Grants:

2020: Graduate Student Senate Travel Grant, Lehigh University (ASME IDETC/CIE 2020)2020: Graduate Student Senate Travel Grant, Lehigh University (ASME IMECE 2020)Jan 2012 – Aug 2020: Study Abroad Full Scholarship (for M.Sc. and Ph.D.), Turkish Ministry of EducationJuly 2011: M.Sc. and Ph.D. Full Scholarship (Declined for studying abroad), Turkish Council of Higher EducationJun 2011: Finalist Design Team Award, Systemair-HSK AS Company Project Competition🎙️ Invited Talks:Jan. 2024: Batman University Sustainability Talk Series: “Making AI Work for Us”Dec. 2022: Batman University: “Scholarship Opportunities Abroad”May 2020: Lehigh University Rossin Connection Podcast, Episode 6: “The Journey of Onur Denizhan”

🔬 Research Experience:

Aug 2017 – Aug 2021: Research Assistant, Lehigh University (Mechanism design and optimization projects)Aug 2015 – Aug 2017: Research Assistant, Columbia University (Design and experiment of Spine Brace Project)Jan 2014 – Aug 2015: Research Assistant, Lehigh University (Optimum design of linkage mechanisms project)Nov 2010 – Jun 2011: Undergraduate Research Assistant, Inonu University (Design and implementation of energy-efficient central air conditioning systems)

👨‍🏫 Teaching Experience:

Spring ‘22 – Present: Instructor, Batman University (Various courses including Computer Supported Design, Artificial Neural Networks, Robot Analysis)Fall ’18 – Spring ’21: Department Graduate Assistant, Lehigh University (Courses including Graphics for Engineering Design, Mechanical Engineering Laboratory, Thermodynamics, Computer-Aided Design)Fall ‘16: Grader and Course Assistant, Columbia University (Graduate courses homework and exams grader)

📊 Citation Metrics (Google Scholar):

Citations by: All – 18, Since 2018 – 18
h-index: All – 3, Since 2018 – 3
i10 index: All – 0, Since 2018 –0

📖 Publications  Top Note :

Three-position four-bar linkage mechanism synthesis, static balancing and optimization of automotive engine hood

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Prof Dr. Claudio Urrea | automation and control | Best Researcher Award

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Prof Dr. Claudio Urrea| autndomation a control | Best Researcher Award

Prof Dr. Claudio, University of Santiago of Chile, Chile

Prof Dr. Claudio Urrea is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Scopus

ORCID

🎓 Educational and Professional Background:

🔍 Post-Doctoral Degree
Research Topic: Diagnostique de Systèmes Tolérants aux Défauts (Diagnosis of Fault-Tolerant Systems). Université d’Aix-Marseille III, Marseilles, France.🎓 Docteur in Automatique et Productique  Laboratoire d’Automatique de Grenoble (LAG), Institut National Polytechnique de Grenoble (INPG), France. Specialization: Automatique et Productique (Automation and Production). Distinction: Très Honorable. PhD in Engineering Sciences  Electrical Engineering Department (DIE), University of Santiago of Chile (USACh). Specialization: Automation. Distinction: Approved with highest honors.  Master in Engineering Sciences DIE, USACh, Chile. Specialization: Electrical Engineering.

👨‍🏫 Working Experience:

Academic Advisor
University of Santiago of Chile, representative of the Full Professors. Postgraduate Vice-Chancellor Vice-Rectory of Postgraduate, University of Santiago of Chile. President of the Postgraduation Superior Council University of Santiago of Chile. President of the Assessment Commission for Postgraduate Programs University of Santiago of Chile. President of the Academic Performance Evaluation and Qualification Committee Electrical Engineering Department, University of Santiago of Chile.

📖 Publications  Top Note :

Modeling, design and control of a 4-arm delta parallel manipulator employing type-1 and interval type-2 fuzzy logic-based techniques for precision applications

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A Multimodal Fusion System for Object Identification in Point Clouds with Density and Coverage Differences

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Fast Rock Detection in Visually Contaminated Mining Environments Using Machine Learning and Deep Learning Techniques

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A Novel Robotic Controller Using Neural Engineering Framework-Based Spiking Neural Networks

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Bioinspired Photoreceptors with Neural Network for Recognition and Classification of Sign Language Gesture

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Improving Exoskeleton Functionality: Design and Comparative Evaluation of Control Techniques for Pneumatic Artificial Muscle Actuators in Lower Limb Rehabilitation and Work Tasks

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Fuzzy Control Strategies Development for a 3-DoF Robotic Manipulator in Trajectory Tracking

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Model of the response time of the variable-frequency drive with Padé approximant to test the control velocity of a conveyor belt

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Model of the response time of the variable-frequency drive with Padé approximant to test the control velocity of a conveyor belt

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Design, Simulation, Implementation, and Comparison of Advanced Control Strategies Applied to a 6-DoF Planar Robot

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