Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

Kunpeng Zhang – Evolutionary Computing – Best Researcher Award

Dr. Kunpeng zhang distinguished academic and researcher in the field Evolutionary computing. Dr. Kunpeng Zhang is a highly accomplished researcher with significant contributions to the field of multimedia
tools, applications, and intelligent vehicle technologies. He has co-authored numerous influential papers,
particularly in areas like defect detection on vehicle paint, multi-object tracking, and feature selection optimization.
Dr. Zhang’s work often involves advanced algorithms such as MobileNet-SSD, APF-ACO, and IBGJO,
showcasing his expertise in improving computational efficiency and accuracy in real-world applications. His
research is well-cited, reflecting the impact of his contributions to the academic community.

🌐 Professional Profile

Educations📚📚📚

He has a comprehensive educational background, currently pursuing a Ph.D. in Computer Application Technology at the School of Computer Science and Technology, Jilin University, Changchun, since September 2018. Prior to this, he completed a Master’s in Electrical Engineering from the School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, between September 2015 and June 2018. He holds a Bachelor’s degree in Network Engineering from the same institution, earned between September 2011 and June 2015. Additionally, he completed a Bachelor’s in Engineering Management with a focus on International Engineering Management from the School of Economics and Management, Jilin Jianzhu University, Changchun, during the same period.

Research Experience:

  • Significant contributions to the field of multimedia tools, applications, and intelligent vehicle technologies.
  • Co-authored numerous influential papers, particularly in areas like defect detection on vehicle paint, multi-object tracking, and feature selection optimization.

Research Output and Impact:

  • Published 13 journals in SCI and SCIE index and 7 in other indexed journals.
  • Citation index of 107 and an H-index of 13, indicating a substantial impact in the research community.
  • Cumulative impact factor of 43.4 over the last three years.

Innovations:

  • Development of advanced algorithms such as MobileNet-SSD, APF-ACO, and IBGJO.
  • Focus on improving computational efficiency and accuracy in real-world applications.

Projects and Collaborations:

  • Completed and ongoing involvement in 13 research projects.
  • Engaged in 7 consultancy and industry-sponsored projects.
  • Involvement in 3 collaborative research activities.

Recognition and Professional Engagement:

  • Editorial appointments in 2 journals/conferences.
  • Actively collaborates across disciplines, bridging the gap between theoretical advancements and industry needs.
  • Given Dr. Zhang’s significant research contributions, impactful publications, innovative work in algorithm development, and active engagement in the academic and industrial community, she is well-positioned as a strong candidate for the Best Researcher Award

📝🔬Publications📝🔬

Erfan Shojaei Barjuei – Automated planning and scheduling Award – Top Researcher Award

Posted on by ScienceFatherLeave a Comment on Erfan Shojaei Barjuei – Automated planning and scheduling Award – Top Researcher Award

Erfan Shojaei Barjuei – Automated planning and scheduling Award – Top Researcher Award

Dr. Erfan Shojaei Barjuei distinguished academic and researcher in the field  Automated Planning and Scheduling. Throughout my career journey, I’ve traversed diverse roles and geographical locations, accumulating a wealth of experience in research and engineering. From delving into the intricacies of mechatronics engineering at institutions like the Italian Institute of Technology and the Sant’Anna School of Advanced Studies in Italy, to contributing to cutting-edge research in mechanical and automation engineering at the National Institute of Applied Sciences in France, I’ve always been driven by a passion for innovation and problem-solving.

My academic pursuits have taken me across borders, from pursuing a research fellowship in robotics and artificial intelligence at Sapienza University of Rome to my current role as a postdoctoral researcher in mechanical and manufacturing engineering at the University of Calgary in Canada. These experiences have not only deepened my understanding of the field but also honed my skills in tackling complex challenges and pushing the boundaries of technological advancement.

In addition to my academic endeavors, I’ve also had the opportunity to apply my expertise in industry settings. As a part-time mechatronics engineering consultant at Halo Beauty in the USA, I provided valuable insights and solutions, leveraging my expertise to contribute to the company’s projects. Currently, as a product software engineer at Cure Data in the USA, I am engaged in developing software products with a focus on data analysis, leveraging my diverse background to drive innovation and deliver impactful solutions.

My journey has been characterized by a relentless pursuit of knowledge and a commitment to excellence, and I look forward to continuing to contribute to the forefront of research and innovation in the years to come.

🌐 Professional Profiles

Educations📚📚📚

He pursued his academic journey with zeal and dedication, starting with a Bachelor of Science in Electrical Engineering from Azad University in Iran, where he laid the foundation for his future endeavors. Building upon this strong base, he pursued a Master of Science in Mechatronics Engineering at Sharif University of Technology in Iran from 2006 to 2008, delving into the interdisciplinary realm of engineering. Eager to deepen his knowledge further, he embarked on a PhD in Industrial and Information Engineering with a focus on Mechatronics Curricula at the University of Udine in Italy from 2013 to 2016, where he honed his research skills and expertise. Continuing his pursuit of academic excellence, he completed a Master of Science in Computer Engineering with a specialization in Human-Computer Interaction & Artificial Intelligence Curricula at the University of Genoa in Italy from 2018 to 2022, further broadening his horizons and enhancing his proficiency in cutting-edge technologies. Through his academic endeavors, he has demonstrated a relentless commitment to learning and growth, equipping himself with the knowledge and skills to thrive in the ever-evolving field of engineering and technology.

RESEARCH INTERN

During his time as a research intern at Karlstad University in Sweden from August 2015 to December 2015, he immersed himself in the field of assistive robotics. Focused on the design of a human-friendly walking assist robot vehicle, he dedicated his efforts to refining control systems and variable stiffness mechanisms. Through his internship, he gained valuable hands-on experience in the development of innovative solutions aimed at enhancing mobility and accessibility. His contributions during this period underscored his commitment to leveraging technology for the betterment of society, particularly in improving the quality of life for individuals with mobility impairments.

 

He has a keen interest in a wide array of research areas within the realm of engineering and technology. His primary focus lies in robotics and mechatronic systems, where he explores the intricate dynamics and control mechanisms governing these complex systems. With a passion for advancing the field, he dedicates his efforts to refining models and control algorithms to optimize the performance of mechatronic systems. Additionally, he delves into the realm of artificial intelligence, leveraging cutting-edge techniques to enhance the capabilities of autonomous systems and intelligent agents. His research also extends to advanced manufacturing, where he explores innovative approaches to streamline production processes and improve efficiency. Furthermore, he is fascinated by the potential of vision systems in industrial automation, investigating novel techniques to enhance perception and decision-making capabilities in automated systems. Through his research endeavors, he continually seeks to push the boundaries of engineering innovation and contribute to the development of transformative technologies.

INDUSTRIAL PROJECTS

In his current role at Cure Data in the USA from February 2024 to the present, he collaborates closely with a multidisciplinary R&D team comprising engineers, scientists, and physicians. Together, they are dedicated to the development of an extensive digital twin, a digital replica used for modeling and simulating human organs. His contributions to this project involve leveraging his expertise in various fields to enhance the accuracy and functionality of the digital twin, aiming to revolutionize medical research and treatment approaches.

During his tenure at Halo Beauty in the USA from September 2023 to December 2023, he played a pivotal role in developing core aspects of control and electrical engineering, as well as a vision system for an automated hair braider. Working in tandem with a mechanical engineering team, he focused on refining the end-effector, sensor-based controls, and retraction systems. His collaborative efforts ensured the seamless integration of electrical and control components, optimizing the performance and efficiency of the automated hair braider.

AWARDS AND HONORS

Throughout his career, he has garnered recognition for his outstanding achievements and contributions to the field of engineering. Notably, in September 2019, he received the Best Conference Paper Award at the IEEE International Conference on Cyborg and Bionic Systems (CBS 2019) held in Munich, Germany, showcasing his excellence in academic research and innovation. His dedication to excellence was further acknowledged with an Internship Fellowship at Karlstad University in Sweden from August 2015 to December 2015, providing him with valuable practical experience in the field.

In March 2015, he was honored with the NI (National Instruments) Engineering Impact Awards 2015 for Best Application in Advanced Research, recognizing his significant contributions to the advancement of engineering technologies. This accolade was bestowed upon him during NIDays 2015 in Milan, Italy, highlighting his innovative approaches and impactful research endeavors.

Additionally, he was awarded a Winter School Scholarship in February 2015 to attend the SAPHARI NMMI Winter School in Rome, Italy, demonstrating his commitment to continuous learning and professional development. His academic prowess was evident during his master’s studies, as he successfully completed the Master’s Degree Honors Program at Sharif University of Technology in Iran in July 2008, attesting to his exceptional academic performance and dedication to scholarly pursuits.

Moreover, his leadership abilities and accomplishments were recognized early in his career when he received a Travel Grant in November 2003 for his successful leadership of the executive team in the National Robotic Race of Intelligent Devices at Azad University in Iran, underscoring his capability to excel in both academic and practical domains, as well as his adeptness in leading collaborative endeavors.

📝🔬Publications📝🔬
  • Meghdari.A, Mirfakhree.F, Akrami.S.M, Shojaei Barjuei.E
    Introduction to Robotics: Mechanics and Control (By: Craig.J.J)
    Third Edition, Sharif University Press, Iran, 2009 (ISBN: 978‐964‐208-019‐9)
  • Akrami.S.M, Shojaei Barjuei.E
    Mechatronics: Dynamics of Electromechanical and Piezoelectric Systems (By:Preumont.A)
    Fan Afzar press, Tabriz, Iran, 2009 (ISBN: 978-964-8150-24-9).
  • Shojaei Barjuei.E, Shin. J, Kim. K, Lee. J
    Precision improvement of robotic bioprinting via vision-based tool path compensation
    Accepted in Scientific Reports.
  • Shojaei Barjuei.E, Capitanelli.A, Bertolucci.R, Courteille.E, Mastrogiovanni.F, Maratea.M
    Digital Workflow for Printability and Prefabrication Checking in Robotic Construction 3D Printing
    Based on Artificial Intelligence Planning
    Engineering Applications of Artificial Intelligence, vol. 133, p. 108254, 2024.
  • Shojaei Barjuei.E, Courteille.E, Rangeard.D, Marie.F, Perrot.A
    Real-time vision-based control of industrial manipulators for layer-width setting in concrete 3D
    printing applications
    Advances in Industrial and Manufacturing Engineering (2022): 100094.
  • Bianchi.F, Masaracchia.A, Damone.A, Falotico.F, Shojaei Barjuei.E, Oddo.C, Dario.P, Ciuti.G
    Hybrid 6-DoFs magnetic localization for robotic capsule endoscopes compatible with high-grade
    magnetic field navigation
    IEEE Access 10 (2021): 4414-4430.
  • Shojaei Barjuei.E, Darwin.G.C, Ortiz.J
    Bond Graph Modeling and Kalman Filter Observer Design for a Back-Support Exoskeleton
    Designs 4.4 (2020): 53.
  • Shojaei Barjuei.E, Ortiz.J
    A Comprehensive performance comparison of Linear Quadratic Regulator (LQR) controller, Model
    Predictive Controller (MPC), H∞ loop shaping and μ-synthesis on spatial compliant linkmanipulators
    International Journal of Dynamics and Control 9 (2021): 121-140.
  • Bianchi.F, Masaracchia.A, Shojaei Barjuei.E, Menciassi.A, Arezzo.A, Koulaouzidis.A, Stoyanov.D,
    Oddo.C, Dario.P, Ciuti.G
    Localization strategies for robotic endoscopic capsules: a review
    Expert review of medical devices 16.5 (2019): 381-403.
  • Li.J, Shojaei Barjuei.E, Ciuti.G, Hao.Y, Zhang.P, Shi.Q, Menciassi.A, Huang.Q, Dario.P
    Magnetically-driven medical robots: an analytical magnetic model for endoscopic capsules design
    Journal of Magnetism and Magnetic Materials 452 (2018): 278-287.
  • Shojaei Barjuei.E
    Hybrid position/force control of a spatial compliant mechanism
    International Journal of Automotive and Mechanical Engineering, ISSN: 2229-8649 (Print); ISSN:
    2180-1606 (Online); Volume 14, Issue 3 pp. 4531-4541 September 2017
  • Shojaei Barjuei.E, Boscariol.P, Gasparetto.A, Vidoni.R
    Robust control of Three-Dimensional Compliant Mechanisms
    Journal of Dynamic Systems, Measurement & Control, 2016, 138, 101009-1-14.
  • Abdolshah.S, Shojaei Barjuei.E
    Linear Quadratic Optimal Control of Cable-Driven Parallel Robots
    Journal of Frontiers of Mechanical Engineering, FME-15038-AS, vol.10, no. 4, pp. 344–351, 2015

Dr. guowei zhang | Operations research

Posted on by ScienceFatherLeave a Comment on Dr. guowei zhang | Operations research

Dr. guowei zhang | Operations research

Academician/Research Scholar

Congratulations , Dr. guowei zhang | Operations research , on winning the esteemed Graph Analytics Research Excellence Award from sciencefather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

 

Professional Profiles:

Education:

  • National University of Singapore, Business School Joint Ph.D. student in Analytics & Operations (July 2022 – Present)
  • Tianjin University, College of Management and Economics.  Ph.D. Candidate in Management Science and Engineering (Sep. 2020 – Present) .Master in System Engineering (Sep. 2018 – Jun. 2020)
  • Dalian Maritime University, College of Transportation Engineering Bachelor in Transportation (Sep. 2014 – Jun. 2018, GPA 4.18, ranking 1/55)

Project Experience:

Dr. Zhang has demonstrated leadership as the project leader for the “Modeling and Optimization of Drone Application in Smart Transportation,” a Tianjin research innovation project for postgraduate students.

Conference Presentations:

He has actively engaged with the academic community, presenting at conferences such as the International Workshop on Computational Transportation Science and the Annual International Conference of Chinese Scholars Association for Management Science and Engineering.

Awards & Honors:

Recognized for his academic excellence, Dr. Zhang has received prestigious awards, including the National Scholarship for Ph.D. and First Academic Scholarship for Ph.D. at Tianjin University.

Publications