Ivana Bolanča Mirković |Industrial engineering| Best Researcher Award

Prof. Ivana Bolanča Mirković |Industrial engineering| Best Researcher Award

University of Zagreb Faculty of Graphic Arts,Croatia

Prof. Ivana Bolanča Mirković is a distinguished academic at the University of Zagreb, Faculty of Graphic Arts, Croatia. With expertise in graphic arts and technology, she has contributed significantly to the field through both teaching and research. Prof. Bolanča Mirković is known for her innovative approaches in the integration of graphic design with emerging technologies. She has been instrumental in advancing the study of digital media and its application in graphic arts. Throughout her career, she has published numerous works and collaborated with various institutions to promote the development of graphic technologies. Her dedication to education and research has made her a respected figure in her field.

Summary:

The candidate is an outstanding contender for the Research for Young Scientist Award. Their strong educational background, entrepreneurial ventures, innovative research in AI, virtual reality, and machine learning, and significant academic contributions demonstrate exceptional promise. They have proven to be a pioneer at the intersection of architecture and emerging technologies, driving both academic discourse and practical application.

 

Professional Profiles:

 Scopus

🎓 Education :

Professor Ivana Bolanča Mirković was born on June 7, 1976, in Zagreb, Croatia. She completed her secondary education at the High School of Natural Sciences and Mathematics and continued her academic journey at the Faculty of Natural Sciences and Mathematics of the University of Zagreb, where she graduated in 2002 with a thesis on “Determination of elements in drinking water by atomic spectroscopy and complexometry.” After graduation, she pursued further studies at the Faculty of Graphics, obtaining a master’s degree in Graphic Engineering in 2005, with a thesis titled “Mechanisms of deinking in the function of the ageing of prints.” She later earned her Ph.D. in 2007 with a dissertation entitled “Ecologically more favourable offset inks and mechanisms of deinking of prints.”

 

🏢 Experience:

Professor Bolanča Mirković’s career at the Faculty of Graphics began in 2002 when she was employed as a research assistant at the Department of Environmental Protection. Her involvement in the field of environmental science and technology grew as she participated in various scientific projects and became a recognized expert in her areas of study. Over the years, she has held several prestigious positions, including the editor-in-chief of Acta Graphica since 2022 and leadership roles in multiple scientific committees and projects.

🛠️Skills:

Professor Bolanča Mirković is highly skilled in environmental research, with expertise in using spectroscopic techniques and chemometric methods for ecological applications. She is also proficient in the study of materials and processes involved in graphic reproduction, particularly in the context of sustainability. Furthermore, she has developed strong organizational and leadership abilities through her roles in scientific committees and her involvement in international collaborations

 

Research Focus :

Professor Bolanča Mirković’s primary research interests lie in ecology, industrial ecology, and the application of spectroscopic and chemometric methods to environmental science. Her work also covers the study of paper recycling mechanisms and the aging processes of materials like paints, paper, and prints. She has made significant contributions to sustainable practices in the printing industry and the environmental aspects of graphic materials. Additionally, she has been involved in several research projects aimed at developing more ecologically friendly graphic materials and advancing knowledge in environmental protection.

 

🔬Awards:

Professor Bolanča Mirković has been honored with numerous awards and recognitions throughout her career. Since May 20, 2019, she has been an associate member of the Croatian Academy of Technical Sciences in the Department of Graphic Engineering. In addition to her academic contributions, she has been a key figure in international scientific conferences, serving as a member and president of various program and review committees, particularly in the fields of printing, design, and graphic communications. Her academic achievements and contributions to science have earned her considerable respect in both Croatian and international research communities.

 

Conclusion:

Given their innovative work and leadership in education, this individual shows considerable potential for continued contributions to scientific and technological fields. However, expanding their publication portfolio and focusing on a more unified research direction could enhance their future impact. Overall, the candidate is a fitting nominee for the Research for Young Scientist Award, poised to shape the future of architecture, technology, and design.

 

 Publications:

  • The Influence of the Production Stages of Cardboard Pharmaceutical Packaging on the Circular Economy
    • Authors: Klemenčić, M., Bolanča Mirković, I., Bolf, N.
    • Journal: Sustainability (Switzerland)
    • Year: 2023
    • Citation Count: 1

 

  • Storage of Documents as a Function of Sustainability
    • Authors: Bolanča Mirković, I., Bolanča, Z.
    • Journal: Sustainability (Switzerland)
    • Year: 2023
    • Citation Count: 1

 

  • Technical Characteristics of Incunabulum in Europe
    • Authors: Bolanča, S., Bolanča Mirković, I., Pučić, I.
    • Journal: Tehnicki Glasnik
    • Year: 2023
    • Citation Count: 0

 

  • The Efficiency of the Separation of Impurities from Cellulose Pulp Obtained from Pharmaceutical Laminated Cardboard Packaging
    • Authors: Klemenčić, M., Bolanča Mirković, I., Bolf, N.
    • Journal: Tehnicki Vjesnik
    • Year: 2022
    • Citation Count: 0

 

  • Ecologically Sustainable Printing: Aspects of Printing Materials
    • Authors: Bolanča Mirković, I., Medek, G., Bolanča, Z.
    • Journal: Tehnicki Vjesnik
    • Year: 2019
    • Citation Count: 5

 

  • Recycling Optimisation of the Electrophotographic Prints
    • Authors: Bolanča Mirković, I., Majnarić, I., Bolanča, S.
    • Conference: Proceedings of the International Conference of DAAAM Baltic “Industrial Engineering”
    • Year: 2012
    • Pages: 119–124
    • Citation Count: 3

 

Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Dr. Guoqing Wang is a distinguished professor at the University of Electronic Science and Technology of China (UESTC), located in Chengdu, Sichuan Province, China. He holds expertise in the field of electronic engineering, particularly in the areas of signal processing, communication systems, and wireless networks. With numerous publications and research contributions to his name, Dr. Wang is recognized for his innovative approaches to solving complex problems in telecommunications. He plays a pivotal role in advancing both academic and industrial research endeavors, fostering collaboration and driving technological advancements in China’s electronic engineering landscape.

Professional Profiles:

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

  • Machine Learning:
    • Self-/semi-/un- supervised learning and few-shot learning
    • Domain adaptation, meta-learning, and multi-task learning
    • Network interpretation and optimization

    Computer Vision:

    • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
    • Adversarial attack mitigation
    • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

  • National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
  • Dean’s Award for Outstanding PhD Theses
  • Tecent Open Fund for Excellent Young Scholar
  • ICCV Student Travel Grant
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship
  • UNSW/CSIRO Postgraduate Scholarships
  • Best Master Dissertation of Jiangsu Province (2022)

 

Publications:

    • 1. Enhanced Context Encoding for Single Image Raindrop Removal
      • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
      • Published in: Science in China (Technological Sciences), 2021
      • [pdf]

      2. Attentive Feature Refinement Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      3. Context-enhanced Representation Learning for Single Image De-Raining

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: International Journal of Computer Vision, 2020
      • [pdf]

      4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      5. Multi-Scale Deep Representation Aggregation for Vein Recognition

      • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
      • Published in: IEEE Transactions on Information Forensics and Security, 2020
      • [pdf]

      6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

      • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
      • Published in: IEICE Transactions on Information and Systems, 2018