Peter Eisert | AI in agriculture | Best Researcher Award

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Prof. Peter Eisert | AI in agriculture | Best Researcher Award

Fraunhofer HHI, Germany

Prof. Dr.-Ing. Peter Eisert is a renowned expert in computer vision and visual computing. He serves as the Head of the Vision & Imaging Technologies Department at Fraunhofer HHI, Berlin, leading a team of around 30 researchers. Since 2009, he has also held a Professorship in Visual Computing at the Computer Science Department of Humboldt University of Berlin.

Profile:

🎓 Education & Academic Background:

  • 🧠 Ph.D. in Electrical Engineering, University of Erlangen-Nuremberg (2000) – With highest honors

  • 📘 Diploma in Electrical Engineering, University of Karlsruhe (1995) – With highest honors

  • 🎓 Former Postdoctoral Fellow at Stanford University (2001)

🧑‍🔬 Current Positions:

  • 🏛️ Professor of Visual Computing, Humboldt University of Berlin (since 2009)

  • 🔬 Head of Vision & Imaging Technologies, Fraunhofer HHI, Berlin (since 2015)

  • 💡 Leader of Computer Vision & Graphics Group, Fraunhofer HHI (since 2002)

🔍 Research Focus:

  • 📷 Visual Computing

  • 🧠 Deep Learning

  • 🧍‍♂️ 3D Graphics & Computer Vision

  • 🤖 Facial Expression Analysis

  • 💻 Lightfield Coding

🏆 Honors & Awards:

  • 🥇 Multiple Best Paper Awards (CVMP, Eurographics, IC3D, CVPR Workshop)

  • 🧪 Young Investigator Award, SPIE VCIP (2002)

  • 💡 Nominated for Innovation Award Berlin/Brandenburg

  • 🇩🇪 Winner of “365 Orte im Land der Ideen” for Virtual Mirror

📚 Scientific Output:

  • ✍️ Over 70 journal publications in top-tier venues (IEEE, IET, Eurographics)

  • 🧾 More than 200 reviewed conference papers (CVPR, ECCV, ICCV, NeurIPS, ICIP, etc.)

  • 💶 Secured €35+ million in third-party funding (EU, BMBF, BMWi, industry)

🎤 Professional Service:

  • 📅 Chair and organizer of leading conferences (CVMP, VMV, Mirage, DAGM)

  • 📝 Editorial roles: Elsevier Journal of Visual Communication, Intl. Journal of Image & Video Processing

  • 🧪 Reviewer for DFG, FWF, VR, IEEE, ACM, Springer

👨‍🏫 Teaching Experience:

  • 🎓 Lecturer at Humboldt University since 2009 (Visual Computing, Computer Graphics)

  • 🏫 Former lecturer at TU Berlin, HTW Berlin, and Stanford University

📊 Citation Metrics:

  • Citations: 7,437 (since 2020: 3,010)

  • h-index: 41 (since 2020: 24)

  • i10-index: 138 (since 2020: 66)

Publication Top Notes:

  • Visual computing as a key enabling technology for Industrie 4.0 and Industrial Internet
    J. Posada, C. Toro, I. Barandiaran, D. Oyarzun, D. Stricker, R. De Amicis, … P. Eisert
    IEEE Computer Graphics and Applications, 35(2), 26–40 (2015) — 903 citations

  • 3D video and free viewpoint video—technologies, applications and MPEG standards
    A. Smolic, K. Mueller, P. Merkle, C. Fehn, P. Kauff, P. Eisert, T. Wiegand
    2006 IEEE International Conference on Multimedia and Expo, 2161–2164 (2006) — 464 citations

  • Data-driven artificial intelligence applications for sustainable precision agriculture
    M.T. Linaza, J. Posada, J. Bund, P. Eisert, M. Quartulli, J. Döllner, A. Pagani, …
    Agronomy, 11(6), 1227 (2021) — 239 citations

  • Analyzing facial expressions for virtual conferencing
    P. Eisert, B. Girod
    IEEE Computer Graphics and Applications, 18(5), 70–78 (1998) — 213 citations

  • Stereo correspondence and reconstruction of endoscopic data challenge
    M. Allan, J. Mcleod, C. Wang, J.C. Rosenthal, Z. Hu, N. Gard, P. Eisert, K.X. Fu, …
    arXiv preprint arXiv:2101.01133 (2021) — 175 citations

  • Detection of face morphing attacks by deep learning
    C. Seibold, W. Samek, A. Hilsmann, P. Eisert
    Digital Forensics and Watermarking: 16th International Workshop, IWDW 2017 — 151 citations

  • Multi-hypothesis, volumetric reconstruction of 3-D objects from multiple calibrated camera views
    P. Eisert, E. Steinbach, B. Girod
    1999 IEEE International Conference on Acoustics, Speech, and Signal Processing — 140 citations

  • Platform for distributed 3D gaming
    A. Jurgelionis, P. Fechteler, P. Eisert, F. Bellotti, H. David, J.P. Laulajainen, …
    International Journal of Computer Games Technology, 2009(1), 231863 (2009) — 134 citations

  • Automatic reconstruction of stationary 3-D objects from multiple uncalibrated camera views
    P. Eisert, E. Steinbach, B. Girod
    IEEE Transactions on Circuits and Systems for Video Technology, 10(2), 261–277 (2000) — 123 citations

  • Digital watermarking of MPEG-4 facial animation parameters
    F. Hartung, P. Eisert, B. Girod
    Computers & Graphics, 22(4), 425–435 (1998) — 123 citations

  • Adaptive colour classification for structured light systems
    P. Fechteler, P. Eisert
    IET Computer Vision, 3(2), 49–59 (2009) — 120 citations

  • Capturing panoramic or semi-panoramic 3D scenes
    P. Kauff, P. Eisert, J. Schuessler, C. Weissig, F. Arne
    US Patent 9,462,184 (2016) — 99 citations

  • Games@ large graphics streaming architecture
    I. Nave, H. David, A. Shani, Y. Tzruya, A. Laikari, P. Eisert, P. Fechteler
    2008 IEEE International Symposium on Consumer Electronics, 1–4 (2008) — 98 citations

  • Model-aided coding: A new approach to incorporate facial animation into motion-compensated video coding
    P. Eisert, T. Wiegand, B. Girod
    IEEE Transactions on Circuits and Systems for Video Technology, 10(3), 344–358 (2000) — 93 citations

  • Predictive compression of dynamic 3D meshes
    K. Muller, A. Smolic, M. Kautzner, P. Eisert, T. Wiegand
    IEEE International Conference on Image Processing, 1, I-621 (2005) — 91 citations

  • Fast and high resolution 3D face scanning
    P. Fechteler, P. Eisert, J. Rurainsky
    2007 IEEE International Conference on Image Processing, 3, III-81–III-84 (2007) — 89 citations

  • Tracking and retexturing cloth for real-time virtual clothing applications
    A. Hilsmann, P. Eisert
    Computer Vision/Computer Graphics Collaboration Techniques: 4th International Workshop (2009) — 86 citations

  • FreeCam: A Hybrid Camera System for Interactive Free-Viewpoint Video
    C. Kuster, T. Popa, C. Zach, C. Gotsman, M.H. Gross, P. Eisert, J. Hornegger, …
    VMV, 17–24 (2011) — 85 citations

  • Immersive 3D video conferencing: challenges, concepts, and implementations
    P. Eisert
    Visual Communications and Image Processing, 5150, 69–79 (2003) — 80 citations

  • Capture and 3D video processing of volumetric video
    O. Schreer, I. Feldmann, S. Renault, M. Zepp, M. Worchel, P. Eisert, P. Kauff
    2019 IEEE International Conference on Image Processing (ICIP), 4310–4314 (2019) — 79 citations

 

Weili Sun | Smart Farming | Best Researcher Award

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Mr Weili Sun |  Smart Farming |  Best Researcher Award

Master at  Nanjing Agricultural University, China

Weili Sun is currently pursuing a Master’s degree in Electronic Information at Nanjing Agricultural University under the mentorship of Associate Professors Fei Hu and Xiuqing Fu. He also serves as the Minister of Culture and Sports in the Graduate Student Union. Weili completed his undergraduate studies in Measurement and Control Technology and Instruments at Yangzhou University, where he was a class monitor and participated in several national-level innovation and entrepreneurship projects. He won the second prize in the Yangzhou University Challenge Cup and received an excellent award in the Jiangsu Province College Student Electronic Design Competition.

Profile:

📚 Educational Background:

  • Master’s Degree (2023.09 – Present):
    Currently pursuing a Master’s degree in Electronic Information at Nanjing Agricultural University. Mentored by Associate Professors Fei Hu and Xiuqing Fu.
  • Bachelor’s Degree (2018.09 – 2022.06):
    Graduated with a degree in Measurement and Control Technology and Instruments from Yangzhou University. Served as class monitor and actively participated in various innovation and entrepreneurship projects, earning accolades such as the second prize in the Yangzhou University Challenge Cup and the Excellent Award in the Jiangsu Province College Student Electronic Design Competition.

🎓 Leadership Roles:

  • Minister of Culture and Sports:
    Serves as the Minister of Culture and Sports of the Graduate Student Union at Nanjing Agricultural University, showcasing strong leadership and organizational skills.

🔬 Research Experience:

  1. Lightweight Identification and Detection Method for Pear Tree Pollen Germination Vitality
    Developed a pear pollen germination detection system to improve pollination efficiency and optimize fruit yields. Designed a lightweight model to monitor pear tree pollen germination, reducing deployment costs and applying transfer learning for other fruit trees.

    • 📄 Publication: Published a paper as the first author on the project’s detection accuracy and cost-efficiency.
  2. 3D Point Cloud Segmentation of Cotton Growth
    Collaborated with the Xinjiang Agricultural Reclamation Science Research Institute to study the effects of salt stress on cotton growth using a multi-view imaging system and 3D Gaussian Splatting technology. Developed the SAMPoint segmentation algorithm for efficient data segmentation.

    • 🌱 Impact: Provided a theoretical basis and guidance for salt stress management in cotton.
  3. Development of Intelligent Negative Pressure Transfer Isolation Cabin
    Innovated an isolation cabin designed for the safe transport of infectious disease patients, featuring a unidirectional fresh air system, real-time environmental monitoring, and cloud-based data management.

    • 🏥 Application: Enhances protection for medical staff and efficient isolation during disease outbreaks.

📊 Research Impact Metrics:

  • Citations: 525 (Total), 463 (Since 2019)
  • h-index: 11 (Overall and Since 2019)
  • i10-index: 11 (Overall and Since 2019)

Publication Top Notes:

  • Managing connected and automated vehicles at isolated intersections: From reservation-to optimization-based methods
    C. Yu, W. Sun, H.X. Liu, X. Yang
    Transportation Research Part B: Methodological, 122, 416-435 (2019)
    Citations: 121
  • A capacity maximization scheme for intersection management with automated vehicles
    W. Sun, J. Zheng, H.X. Liu
    Transportation Research Procedia, 23, 121-136 (2017)
    Citations: 88
  • Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach
    H.W. Wang, Z.R. Peng, D. Wang, Y. Meng, T. Wu, W. Sun, Q.C. Lu
    Transportation Research Part C: Emerging Technologies, 115, 102619 (2020)
    Citations: 85
  • A continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections
    W. Sun, X. Wu, Y. Wang, G. Yu
    Transportation Research Part C: Emerging Technologies, 56, 18-33 (2015)
    Citations: 77
  • A capacity maximization scheme for intersection management with automated vehicles
    W. Sun, J. Zheng, H.X. Liu
    Transportation Research Part C: Emerging Technologies, 94, 19-31 (2018)
    Citations: 30
  • Quasi-optimal feedback control for an isolated intersection under oversaturation
    W. Sun, Y. Wang, G. Yu, H.X. Liu
    Transportation Research Part C: Emerging Technologies, 67, 109-130 (2016)
    Citations: 27
  • Quasi-optimal feedback control for a system of oversaturated intersections
    W. Sun, Y. Wang, G. Yu, H.X. Liu
    Transportation Research Part C: Emerging Technologies, 57, 224-240 (2015)
    Citations: 25
  • Traffic signal optimization using crowdsourced vehicle trajectory data
    J. Zheng, W. Sun, S. Huang, S. Shen, C. Yu, J. Zhu, B. Liu, H.X. Liu
    Transportation Research Board 97th Annual Meeting
    Citations: 22
  • Fine-tuning time-of-day partitions for signal timing plan development: Revisiting clustering approaches
    P. Chen, N. Zheng, W. Sun, Y. Wang
    Transportmetrica A: Transport Science, 15(2), 1195-1213 (2019)
    Citations: 16
  • Development of a queue warning system utilizing ATM infrastructure system development and field-testing
    J. Hourdos, Z. Liu, P. Dirks, H.X. Liu, S. Huang, W. Sun, L. Xiao
    Minnesota Dept. of Transportation, Research Services & Library (2017)
    Citations: 12
  • Signal timing parameters estimation for intersections using floating car data
    Z. Du, X. Yan, J. Zhu, W. Sun
    Transportation Research Record, 2673(6), 189-201 (2019)
    Citations: 11

 

 

 

Hsiuying Wang | Sustainable Agriculture | Best Researcher Award

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Prof Hsiuying Wang | Sustainable Agriculture | Best Researcher Award

Professor at  National Yang Ming Chiao Tung University, Taiwan

Dr. Hsiuying Wang is a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University. With a Ph.D. in statistics from National Taiwan University and National Tsing Hua University, Dr. Wang has a robust academic background that laid the foundation for her illustrious career. Since joining the Institute in 1996, she has dedicated over 28 years to academia and research.

Profile:

📚 Education & Experience:

Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, holds a PhD in mathematics and statistics. She completed her bachelor’s, master’s, and doctoral degrees from National Taiwan University and National Tsing Hua University between 1988 and 1996.

🏅 Academic Achievements:

Dr. Wang’s scholarly pursuits are highlighted by approximately 90 international journal publications. She holds editorial positions in esteemed journals such as Frontiers in Genetics, Frontiers in Oncology, and Scientific Reports. Recognized for her scholarly impact, she was inducted as a full member of the Sigma Xi Scientific Research Honor Society in 2023.

🌱 Sustainable Agriculture Research Focus

Dr. Hsiuying Wang, a distinguished professor at the Institute of Statistics, National Yang Ming Chiao Tung University, brings her expertise in statistics to the realm of sustainable agriculture. With a PhD in mathematics and statistics and 28 years of experience, Dr. Wang has diversified her research focus to encompass sustainable agriculture alongside her specialization in bioinformatics and biomaterials. 🔬 Interdisciplinary Approach Employing an interdisciplinary approach, Dr. Wang delves into statistical methodologies to address challenges in sustainable agriculture. Her research aims to optimize resource allocation, improve crop yield prediction models, and enhance farming practices through data-driven insights. 🌿 Bridging Statistical Analysis with Agricultural Innovation By integrating statistical analysis with agricultural innovation, Dr. Wang seeks to develop sustainable solutions for food security, environmental conservation, and economic resilience in farming communities. Her work underscores the importance of data-driven decision-making in fostering agricultural sustainability. 🏅 Commitment to Progress As a dedicated educator and researcher, Dr. Wang remains committed to advancing sustainable agriculture practices. Her vision encompasses a future where statistical analysis serves as a cornerstone for agricultural development, paving the way for a more resilient and equitable food system.

Citations:

  • Total Citations: 1429
  • Citations Since 2019: 949
  • H-index: 22
  • i10-index: 46 (All time)
  • i10-index: 31 (Since 2019)

Publication Top Notes:

  1. “A review of the effects of collagen treatment in clinical studies”
    • Journal: Polymers, Volume 13, Issue 22, Page 3868, Year 2021
    • Citations: 108
  2. “MicroRNAs and apoptosis in colorectal cancer”
    • Journal: International Journal of Molecular Sciences, Volume 21, Issue 15, Page 5353, Year 2020
    • Citations: 90
  3. “Comparison of p control charts for low defective rate”
    • Journal: Computational Statistics & Data Analysis, Volume 53, Issue 12, Pages 4210-4220, Year 2009
    • Citations: 60
  4. “Anti-NMDA receptor encephalitis and vaccination”
    • Journal: International Journal of Molecular Sciences, Volume 18, Issue 1, Page 193, Year 2017
    • Citations: 58
  5. “Exploring microRNA biomarker for amyotrophic lateral sclerosis”
    • Journal: International Journal of Molecular Sciences, Volume 19, Issue 5, Page 1318, Year 2018
    • Citations: 43
  6. “Tolerance intervals for discrete distributions in exponential families”
    • Journal: Statistica Sinica
    • Pages: 905-923, Year 2009
    • Citations: 40
  7. “Efficacies of treatments for anti-NMDA receptor encephalitis”
    • Journal: Frontiers in Bioscience
    • Volume 21, Pages 651-663, Year 2016
    • Citations: 38
  8. “Tolerance intervals with improved coverage probabilities for binomial and Poisson variables”
    • Journal: Technometrics, Volume 51, Issue 1, Pages 25-33, Year 2009
    • Citations: 36
  9. “Exact confidence coefficients of simultaneous confidence intervals for multinomial proportions”
    • Journal: Journal of Multivariate Analysis, Volume 99, Issue 5, Pages 896-911, Year 2008
    • Citations: 35