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

 

Bashir Olaniyi Sadiq | Smart Agri Awards | Best Researcher Award

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Assoc Prof Dr. Bashir Olaniyi Sadiq | Smart Agri Awards | Best Researcher Award

Assoc Prof Dr. Bashir Olaniyi Sadiq, Kampala International University , Uganda

Assoc. Prof Dr. Bashir Olaniyi Sadiq currently serves as an Associate Professor and Director of ICT at Kampala International University, Uganda, starting in July 2024. He is also affiliated with the Department of Electrical, Telecommunication & Computer Engineering. His duties include conducting research using advanced equipment, curriculum review, and supervising students in fields like computer communications, IoT, image processing, and ad hoc networks. Additionally, he teaches both undergraduate and postgraduate students in various electrical and computer engineering courses.

Publication profile

Orcid

Academic Qualifications 

Dr. Bashir holds a PhD in Computer Engineering (2018) from Ahmadu Bello University Zaria, where he developed a routing protocol for light fidelity-based indoor flying ad hoc networks. He also holds a Master’s in Computer Engineering (2015) from the same university, where his thesis focused on improving edge detection algorithms using Particle Swarm Optimization. He earned his B. Eng in Electrical Engineering in 2011, with a project on TCP and UDP protocol service level analysis.

 

Professional Qualifications

Dr. Bashir has completed various certifications, including the ICT Application in Higher Education (2021) from the Ministry of Commerce, China, and the Huawei Certified Information Professional (HCIP) certification (2020) from Huawei Academy. Additionally, he has been recognized as a Huawei Certified Academy Instructor.

Awards

Dr. Bashir’s research contributions have been recognized with several awards, including the TETFUND Institution-based Research Grant (2019), where he was the Principal Researcher. He also received the Excellent Instructor Award from the Huawei ICT Academy in 2018 and the Petroleum Development Trust Fund (PTDF) Local PhD Scholarship Scheme in 2017.

Research Interests

His research interests include Computer Communications & Networks, Image Processing, Ad hoc Networks, and Computer Engineering Applications. His work focuses on developing and improving network protocols, edge detection algorithms, and integrating new technologies such as IoT into these systems.

Teaching Experience

Dr. Bashir has an extensive teaching portfolio, which includes courses like Advanced Data Analysis, Biomedical Signal and Image Processing, and Computational Modeling and Artificial Intelligence at Kampala International University. At Ahmadu Bello University Zaria, he taught a wide array of subjects, including Network Technology, Digital Signal Processing, and Operating Systems.

Honor Societies

He is a registered member of various prestigious engineering societies, including the Council for the Regulation of Engineers (COREN), the Institute of Electrical and Electronics Engineers (IEEE), the International Association of Engineers (IAENG), and the Nigerian Society of Engineers.

Publication Top Notes

  • High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm systems (2024) 🐄📡| DOI: 10.1016/j.sciaf.2024.e02266
  • Maximizing network capacity, control, and management in designing a telemedicine network: A review and recent challenges (2024) 🏥💻 | DOI: 10.4314/njt.v43i1.11
  • Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification (2024) 🚗🛤 | DOI: 10.5815/ijigsp.2024.01.03
  • Review of Error Correction in 2D Shingled Magnetic Detection (2023) 📀🛠 | DOI: 10.11113/elektrika.v22n3.265
  • A Comparative Analysis of Symmetric Cryptographic Algorithm as a Data Security Tool: A Survey (2023) 🔐🖥 | | DOI: 10.5281/ZENODO.8313097
  • Energy-aware Message Distribution Algorithm for Enhanced FANET Pipeline Surveillance Reliability (2023) 🛰💡  | DOI: 10.1016/j.sciaf.2023.e01660
  • FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System (2023) 📷🛸 | | DOI: 10.59568/kjset-2023-2-1-02
  • Statistical LOS/NLOS Classification for UWB Channels (2023) 📡🔎 | Cited by: – | DOI: 10.59568/kjset-2023-2-1-05
  • An adaptive ant colony optimisation for improved lane detection in intelligent automobile vehicles (2022) 🚗🐜 | DOI: 10.1504/ijbic.2022.121225
  • SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm (2022) 🚁🐄 | DOI: 10.3390/drones7010017

Conclusion

Dr. Bashir Olaniyi Sadiq’s extensive research experience, academic qualifications, professional certifications, and teaching expertise make him a strong candidate for the Research for Best Researcher Award. His contributions to computer engineering, particularly in network protocols and image processing, as well as his awards and leadership roles, highlight his excellence in research and academia.

 

 

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