Mr. Naseer Ahmed | Accelerator Award | Excellence in Innovation

Posted on by ScienceFather

Mr. Naseer Ahmed | Accelerator Award | Excellence in Innovation 

Mr. Naseer Ahmed, Pakistan Atomic Energy Commission, Pakistan

Naseer Ahmed is an Electrical Power and Control System Engineer specializing in FPGA-based control systems for switch-mode power supplies. He holds a B.Sc. in Electrical Engineering from The Islamia University Bahawalpur (IUB) and an M.S. in Systems Engineering from the Pakistan Institute of Engineering and Applied Sciences (PIEAS). Since 2012, he has been serving as a Senior Engineer at the Pakistan Tokamak Plasma Research Institute, where he works on Verilog and VHDL programming for FPGA-based control systems, logic simulation, and PCB design using Altium. His expertise includes FPGA reconfigurable design, offering flexibility and precision in system development.

Professional Profile:

ORCID

Summary of Suitability for Excellence in Innovation

Naseer Ahmed demonstrates strong expertise in electrical power and control systems, with a particular focus on FPGA-based control systems for switch-mode power supplies. His experience at the Pakistan Tokamak Plasma Research Institute and his contributions to fusion engineering, high-voltage DC sources, and spherical tokamak studies highlight his research excellence.

🎓 Education:

📍 BSc. Electrical Engineering – The Islamia University Bahawalpur (IUB) (2007–2011)

  • 📍 Location: Islamabad, Pakistan

  • 🏆 Grade: A

📍 MS Systems Engineering – Pakistan Institute of Engineering and Applied Sciences (PIEAS) (2020–2022)

  • 📍 Location: Islamabad, Pakistan

  • 📊 CGPA: 3.18

💼 Work Experience:

👨‍💻 Senior Engineer – Pakistan Tokamak Plasma Research Institute (Aug 2012 – Present)

  • 🔹 Verilog HDL programming and logic simulation for Altera FPGAs using Quartus II software.

  • 🔹 VHDL programming on ISE and Vivado Design Suites for Xilinx FPGAs.

  • 🔹 PCB Design & Development on Altium for FPGA-based control cards.

🏅 Achievements, Awards & Honors:

🌟 Expertise in FPGA-based control systems for switch-mode power supplies.
🌟 Successfully developed custom FPGA control solutions for advanced electrical systems.
🌟 Contributed to high-impact research in Tokamak Plasma Research using FPGAs.
🌟 Strong background in C programming, VHDL, and PCB design for embedded applications.

Publication Top Notes:

Design and development of FPGA based trigger system for automation of metallic tokamak (MT-I)

An Inverter-Fed Cockcroft-Walton Multiplier Based High Voltage DC Source for Tokamak

Start-Up Studies of GLAST-III Spherical Tokamak in the Presence of Poloidal Field

Gabriel Danciu | Intelligent sensing | Excellence in Research

Posted on by ScienceFather

Mr. Gabriel Danciu | Intelligent sensing | Excellence in Research

Lecturer at Transilvania University, Romania

Danciu Gabriel is a prominent researcher and educator from Romania, specializing in electrical engineering and computer science. Currently serving as a Şef lucrări at the University of Transilvania in Brașov, he combines his academic role with practical experience as an engineer and manager at Siemens. With a robust publication record exceeding 50 papers, Gabriel is recognized for his contributions to artificial intelligence, image processing, and software architecture. He is an active member of the IEEE and has presented at numerous international conferences. His commitment to education is reflected in his mentoring roles and project coordination, making him a vital part of the academic community. Gabriel’s expertise in developing algorithms for RGB-D cameras and his innovative research approaches have earned him respect in the field. He aims to bridge theoretical knowledge with practical applications, enhancing technological advancements and shaping the next generation of engineers.

Profile:

Google Scholar Profile

Strengths for the Award:

  1. Extensive Experience: Gabriel has over 15 years of experience in academia and industry, demonstrating a strong commitment to both education and research.
  2. Publication Record: With over 50 published works, he shows a robust contribution to fields such as AI, image processing, and software architectures, indicating high productivity and impact in his research area.
  3. Diverse Skill Set: His competencies in various programming languages (C++, C#, Python) and expertise in software architecture showcase his technical proficiency, which is critical for modern research.
  4. Leadership Roles: As a Şef lucrări (Head of Department) and an engineer at Siemens, he has proven leadership capabilities, indicating his ability to manage projects and mentor others effectively.
  5. International Engagement: Participation in over 5 European projects and presentations at numerous conferences reflects his active engagement with the global research community.
  6. Research Innovation: His focus on cutting-edge topics like AI and image processing highlights his relevance and adaptability to current technological trends.

Areas for Improvement:

  1. Language Proficiency: While he is proficient in English, improving his German skills could enhance his collaboration opportunities in Europe, particularly in multilingual environments.
  2. Broader Collaboration: Expanding his research network beyond existing affiliations could lead to more interdisciplinary projects and greater innovation.
  3. Public Engagement: Increasing visibility through popular science publications or community outreach could enhance his impact beyond the academic sphere.
  4. Mentoring: Actively seeking to mentor younger researchers or students could foster new talent in the field and enhance his leadership profile.

Education:

Danciu Gabriel pursued his academic journey at the University of Transilvania in Brașov, where he obtained his Bachelor’s degree in Automatică și Informatică Industrială in 2004. He continued his studies at the same institution, completing a Master’s degree in Electrical Engineering and Telecommunications in 2006. Gabriel then earned his Ph.D. in 2014, focusing on developing algorithms for image processing using RGB-D cameras. His educational background laid a solid foundation for his future roles in academia and industry. As an Asistent universitar from 2007 to 2022, he dedicated himself to teaching and research, culminating in his current position as Șef lucrări, where he engages in educational leadership, research activities, and administrative duties. Gabriel’s academic achievements are complemented by ongoing professional development, ensuring that he stays at the forefront of technological advancements and educational methodologies in his field.

Experience:

Danciu Gabriel boasts extensive professional experience spanning over 15 years in both academia and industry. He began his career as a Software Engineer at Dynamic Ventures from 2005 to 2017, where he focused on research, mentorship, and software development. In 2018, he transitioned to Siemens as an Engineer, Researcher, and Manager, where he continues to work on innovative research projects while mentoring emerging talent. Concurrently, he has held various academic positions at the University of Transilvania, serving as an Asistent universitar for 15 years before advancing to Şef lucrări in 2022. His dual role allows him to integrate theoretical knowledge with practical applications, contributing to the growth of his students and the advancement of technology. Gabriel’s experience is characterized by a commitment to education, research innovation, and leadership, positioning him as a key figure in the fields of electrical engineering and computer science.

Research Focus:

Danciu Gabriel’s research primarily revolves around artificial intelligence, image processing, and software architecture, with a specific emphasis on RGB-D cameras. His work in developing innovative algorithms for depth image analysis has significantly contributed to advancements in computer vision and signal processing. Gabriel has published over 50 papers in renowned journals and conferences, exploring various topics, including noise pollution monitoring, functional verification in digital designs, and object tracking methods. He actively participates in European projects, collaborating with interdisciplinary teams to address real-world challenges through technology. Gabriel is passionate about integrating theoretical concepts with practical applications, aiming to improve the efficiency and accuracy of image processing techniques. His ongoing research endeavors focus on enhancing machine learning models and exploring new avenues in automated systems, positioning him at the cutting edge of technological innovation in the fields of engineering and computer science.

Publication Top Notes:

  • Shadow removal in depth images morphology-based for Kinect cameras 🌌
  • Objective erythema assessment of Psoriasis lesions for PASI evaluation 🌿
  • A novel approach for face expressions recognition 😊
  • Improved contours for ToF cameras based on vicinity logic operations 🖼️
  • Cost-efficient approaches for fulfillment of functional coverage during verification of digital designs 💻
  • Coverage fulfillment automation in hardware functional verification using genetic algorithms 🔍
  • Extended control-value emotional agent based on fuzzy logic approach 🤖
  • Scale and rotation-invariant feature extraction for color images of iris melanoma 🌈
  • Level up in verification: Learning from functional snapshots 📊
  • Noise pollution monitoring using mobile crowd sensing and SAP analytics 📱
  • Debugging FPGA projects using artificial intelligence 🧩
  • Debug FPGA projects using machine learning 📈
  • Efficient analysis of digital systems’ supplied data ⚙️
  • Method proposal for blob separation in segmented images 🔍
  • Solutions for Roaming and Interoperability Problems Between LTE and 2G or 3G Networks 📶
  • Methods of Object Tracking 🕵️‍♂️
  • Adaptive Scaling for Image Sensors in Embedded Security Applications 🔒
  • A method proposal of scene recognition for RGB-D cameras 🌍
  • Genetic algorithm for depth images in RGB-D cameras 🔧
  • Hierarchical contours based on depth images 🗺️

Conclusion:

Gabriel Danciu demonstrates a strong profile as a candidate for the Best Researcher Award, with a solid foundation in research, a wealth of experience, and a proven track record of publications and collaborations. By addressing the suggested areas for improvement, particularly in broader engagement and mentorship, he could further strengthen his candidacy and impact in the research community.

Yoshinori Otsuki | Gas Analysers | Best Researcher Award

Posted on by ScienceFather

Mr. Yoshinori Otsuki | Gas Analysers | Best Researcher Award

Department Manager at HORIBA, Ltd., Japan 

Yoshinori Otsuki, born on April 25, 1979, in Japan, is a seasoned engineer specializing in automotive emissions measurement systems. With over 20 years of experience at HORIBA, LTD., he has played pivotal roles ranging from electrical designer to department manager. Otsuki’s extensive expertise encompasses particulate measurement and sampling systems, where he has led numerous successful projects, collaborating with global automotive OEMs and research institutes. His contributions to the field have earned him recognition as a thought leader in emissions regulations and measurement technology. As a dedicated member of various engineering societies, he actively shares knowledge through presentations at international conferences.

Profile:

Strengths for the Award:

  1. Extensive Experience: Yoshinori Otsuki has over 19 years of experience in research and development, particularly in particulate measurement and sampling systems within the automotive sector. His roles have evolved from an Electrical Designer to a Department Manager, showcasing his growth and leadership capabilities.
  2. Innovative Contributions: He has been involved in the development of multiple products, leading projects and coordinating with automotive OEMs and research institutions. His work on emissions measurement systems reflects a commitment to innovation and industry advancement.
  3. Patents and Publications: Otsuki holds several patents related to emissions measurement and particle counting systems, demonstrating his ability to contribute original ideas to the field. His numerous publications, particularly in prestigious journals, underline his active engagement in research and his contributions to academic discourse.
  4. Global Collaboration: His experience managing global R&D teams, particularly in Europe and Japan, indicates strong collaborative skills and the ability to work in diverse environments. His participation in international working groups and conferences further illustrates his commitment to cross-border research initiatives.
  5. Technical Expertise: With a strong academic background (Bachelor’s and Master’s in Engineering) and proficiency in both Japanese and English, Otsuki combines technical knowledge with effective communication skills, making him a valuable asset in both research and practical applications.

Areas for Improvement:

  1. Broader Engagement with Emerging Technologies: While Otsuki has made significant contributions in his current domain, exploring emerging technologies related to environmental sustainability and alternative energy sources could enhance his research portfolio and relevance in evolving markets.
  2. Networking Beyond Automotive Sector: Expanding his professional network to include researchers and industry experts from fields such as renewable energy, battery technology, or environmental policy could provide new perspectives and collaborative opportunities that may enrich his research endeavors.
  3. Enhanced Visibility in Public Forums: Increasing his participation in public forums or media discussions related to emissions and environmental impact could elevate his profile and influence in the industry, promoting awareness of his research contributions and fostering public understanding of automotive emissions issues.

Education:

Yoshinori Otsuki holds a Bachelor of Engineering from Doshisha University, obtained in March 2002, followed by a Master of Engineering from Kyoto University, completed in March 2004. His educational background in electronic engineering has equipped him with a strong foundation in circuit design and analytical systems. These qualifications have been instrumental in his career, enabling him to develop innovative solutions in automotive emissions measurement and research. Otsuki’s commitment to continuous learning and professional development is evident in his active participation in workshops and conferences related to automotive engineering and environmental science.

Experience:

Yoshinori Otsuki’s professional journey began at HORIBA, LTD. in 2004, where he progressed through various roles. Starting as an Electrical Designer, he quickly transitioned to Automotive Analytical Engineer, leading the development of particulate measurement systems. His leadership roles include R&D Team Leader and Manager of European Product Managers, where he oversaw teams focused on emissions measurement systems. Currently, as Department Manager, he manages R&D teams working on gas and particle analyzers. Otsuki’s experience includes collaboration with automotive OEMs, coordination of research projects, and participation in international working groups, highlighting his expertise and commitment to advancing automotive technologies.

Research Focus:

Yoshinori Otsuki’s research focuses on the measurement of particulate matter and emissions in automotive systems. He is particularly interested in developing innovative methodologies for solid particle number measurement and the analysis of gas emissions. His work addresses emerging regulations such as Euro 7, ensuring compliance and environmental sustainability. Otsuki actively participates in international research collaborations, contributing to projects like HORIZON2020’s PEMs4Nano. Through his publications and presentations, he aims to advance understanding and technologies related to emissions measurement, influencing industry standards and practices in automotive engineering.

Publications Top Notes:

  1. Instability of emery oil particle for 10 nm engine exhaust CPC calibration
  2. Technical Improvements of Portable Emissions Measurement System for Solid Particle Number Larger than 10 nm
  3. Development of On-board Multi-component Gas Analyzer Toward Euro 7
  4. Investigation of Equivalency between Laboratory-Grade and Portable Emissions Measurement Systems in Solid Particle Number Measurement Larger than 10 nm
  5. Measurement of Gaseous Exhaust Emissions of Light-Duty Vehicles in Preparation for Euro 7: A Comparison of Portable and Laboratory Instrumentation
  6. Towards tailpipe sub-23 nm solid particle number measurements for heavy-duty vehicles regulations
  7. Reproducibility of the 10-nm Solid Particle Number Methodology for Light-Duty Vehicles Exhaust Measurements
  8. Assessment of On-Board and Laboratory Gas Measurement Systems for Future Heavy-Duty Emissions Regulations
  9. Single vs Double Stage Partial Flow Dilution System: Automobile PM Emission Measurement

Conclusion:

Yoshinori Otsuki is a highly qualified candidate for the Research for Best Researcher Award. His extensive experience, innovative contributions, and global collaboration make him a standout researcher in the field of automotive emissions measurement. While there are areas for improvement, particularly in expanding his engagement with emerging technologies and enhancing his public profile, his strengths overwhelmingly position him as a deserving recipient of this award. His continued contributions will undoubtedly have a significant impact on both the automotive industry and environmental research.

Prof. Paulo Ferreira | Distributed Systems Award | Best Researcher Award

Posted on by ScienceFather

Prof. Paulo Ferreira | Distributed Systems Award | Best Researcher Award

Prof. Paulo Ferreira, University of Oslo, Norway 

Dr. Paulo Ferreira is a Full Professor at the University of Oslo’s Department of Informatics, where he specializes in operating systems and distributed systems. He obtained his Ph.D. from Université Pierre et Marie Curie in 1996 and holds degrees in Electrotechnical Engineering from Instituto Superior Técnico, Lisbon. With a strong commitment to education, Dr. Ferreira supervises multiple PhD and MSc students and has previously taught various advanced courses at the University of Lisbon. He has led significant research initiatives, including the Distributed Systems Group at INESC ID and the H2020 TRACE project, and has contributed to numerous national and international projects in middleware and mobile computing. An accomplished author with over 130 peer-reviewed publications and multiple awards for his research, he actively participates in academic committees and editorial boards, including serving as a senior member of ACM and IEEE. Dr. Ferreira’s expertise is recognized globally, and he has been honored for his exceptional teaching throughout his career.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Paulo Ferreira is a highly accomplished researcher in the field of computer science, particularly focusing on operating systems and distributed systems. He holds a PhD from Université Pierre et Marie Curie and has extensive academic credentials, including an MSc and BSc from the Technical University of Lisbon. As a Full Professor at the University of Oslo, he supervises multiple PhD and MSc students, demonstrating his commitment to education and mentorship.

👨‍🎓 Education:

Paulo Ferreira earned his PhD in Computer Systems from Université Pierre et Marie Curie in 1996, with equivalence from the Technical University of Lisbon in 1997. He holds an MSc (1992) and BSc (1988) in Electrotechnical Engineering from Instituto Superior Técnico.

🏫 Current Position:

He is a Full Professor at the University of Oslo in the Department of Informatics, supervising four PhD students and several MSc students.

📚 Teaching Experience:

Previously, he taught at the University of Lisbon, covering subjects like Operating Systems, Mobile Computing, and Distributed Systems.

🔬 Research Interests:

His research focuses on operating systems, distributed systems, middleware, and mobile computing, having supervised 14 PhD and over 70 MSc students.

🌍 Project Involvement:

Paulo has coordinated and participated in numerous national and international projects, including the EU-funded H2020 TRACE project and many others such as Comandos, Harness, and MoTiV.

💼 Professional Contributions:

He has served as Pro-Rector at the Technical University of Lisbon and consulted for various institutions on distributed systems, including security and Java virtual machines.

Publication top Notes:

flyDetect: An Android Application for Flight Detection

Emulation Tool For Android Edge Devices

EdgeEmu – Emulator for Android Edge Devices

GFogTMD: Generalizable and Real-Time Transport Mode Detection on Smartphones

GFogTMD: Generalizable and Real-Time Transport Mode Detection on Smartphones

Prof Dr. Camelia Cerbu | Computational Analysis Award | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Camelia Cerbu | Computational Analysis Award | Best Researcher Award 

Prof Dr. Camelia Cerbu, Transilvania University of Brasov, Romania

Camelia Cerbu is a distinguished professor at Transilvania University of Brașov, Romania, specializing in Mechanical Engineering. With a robust academic background, she earned her Ph.D. in Engineering Sciences in 2005, focusing on the structural optimization of composite materials under challenging environmental conditions. Over her career, she has advanced through various academic ranks, from University Assistant to Professor, while also serving as a PhD supervisor in Mechanical Engineering. Her research expertise encompasses the strength of materials, mechanics of composite materials, and the analysis of stress and strain fields in mechanical structures. In addition to her academic pursuits, Dr. Cerbu has contributed to industry through her engineering roles in research and design for manufacturing technologies. Her commitment to education is reflected in her involvement in developing modern educational technologies and mentoring numerous graduate and doctoral students.

Professional Profile:

Summary of Suitability for the Best Researcher Award: Camelia Cerbu

Overview: Camelia Cerbu is a highly qualified candidate for the Best Researcher Award, demonstrating extensive experience and significant contributions in the field of Mechanical Engineering, particularly in materials science and composite materials. Her academic credentials, professional experience, and impactful research align with the criteria for this prestigious award.

🏫 Education:

  • PhD in Engineering Sciences (Mechanical Engineering)
    Transilvania University of Brașov, 2005
    Thesis: Research on structural optimization of composite materials under aggressive environmental conditions.
  • Master’s in Computer Assisted Technological Engineering
    Transilvania University of Brașov, 1997
  • Engineer in Mechanics (Machine Building Technology, CAD)
    Transilvania University of Brașov, 1996

💼 Work Experience:

  • Professor (2016 – Present)
    Transilvania University of Brașov

    • Teaching courses in Strength of Materials, Mechanics of Composite Materials, and Dynamics of Mechanical Structures.
    • Supervising PhD theses and research activities.
  • Associate Professor (2007 – 2016)
    Transilvania University of Brașov
  • University Lecturer (2002 – 2007)
    Transilvania University of Brașov
  • University Assistant (2000 – 2002)
    Transilvania University of Brașov
  • Engineer (1997 – 2000)
    S.C. I.U.S. S.A. Brașov

    • Designed manufacturing technology for hand tools.
  • Engineer (1996 – 1997)
    Automotive Institute of Brașov

    • Worked on Computer Aided Design for inspection tools.

🔍 Research Expertise:

Camelia’s research interests include:

  • Strength of materials and mechanics of isotropic and anisotropic materials.
  • Finite element analysis and stress-strain field analysis in mechanical structures.
  • Experimental determination of mechanical properties of materials.
  • Investigating environmental impacts on composite materials.

🏆 Professional Development:

  • PhD Supervisor at the Doctoral School of Transilvania University of Brașov (2015 – Present)
  • Habilitation in Mechanical Engineering (2015)

💡 Skills and Competencies:

Camelia is adept in:

  • Strength and mechanics of materials
  • Finite Element Method (FEM)
  • Computer Aided Design (CAD)
  • Research supervision and scientific coordination

Publication top Notes:

Effects of Rubber Core on the Mechanical Behaviour of the Carbon–Aramid Composite Materials Subjected to Low-Velocity Impact Loading Considering Water Absorption

Characteristics of Carbon and Kevlar Fibres, Their Composites and Structural Applications in Civil Engineering—A Review

Investigation on Phoenix dactylifera/Calotropis procera Fibre-Reinforced Epoxy Hybrid Composites

Evaluation of Wave Velocity in Orthotropic Media Based on Intrinsic Transfer Matrix

Design Solutions for Slender Bars with Variable Cross-Sections to Increase the Critical Buckling Force

Effect of the Looseness of the Beam End Connection Used for the Pallet Racking Storage Systems, on the Mechanical Behavior of the Bearing Beams