Gustavo Hernandez | Humanities | Best Researcher Award

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Assoc. Prof. Dr. Gustavo Hernandez | Humanities | Best Researcher Award

Associate Professor at universidad Politécnica de Madrid, Spain

Gustavo Hernandez is an enthusiastic and multidisciplinary professional with a passion for tackling high-level challenges in research, innovation, development, and entrepreneurship. His diverse educational background and technical expertise enable him to excel in coordination, management, and problem-solving roles. 🌟🔬🤖

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Deep Learning applied to Human Behavior Analysis
    Universidad Politécnica de Madrid (UPM) (2015–2019)
  • Master of Business Administration (MBA)
    Universidad Politécnica de Madrid (UPM) (2018–2019)
  • M.Sc. in Telecommunication Technologies, Systems, and Networks
    Universitat Politècnica de València (UPV) (2007–2009)
  • Especialista Universitario en Redes Corporativas e Integración de Sistemas
    Universitat Politècnica de València (UPV) (2006–2007)
  • B.Sc. in Telecommunication Engineering, Computer Science
    Universidad Santo Tomas (2000–2005)

Professional Experience 💼

Universidad Politécnica de Madrid (UPM)

Assistant Professor (Jan 2023–Present)

  • Teaching and research responsibilities in advanced topics within telecommunications and machine learning.

Telecommunication Engineer (Apr 2013–Oct 2021)

  • Developed deep learning algorithms for human behavior analysis.
  • Coordinated and managed multidisciplinary European-funded projects under H2020.
  • Created wireless sensor networks and related software systems.

Medidee

Project Associate (Oct 2021–Oct 2022)

  • Supported medical technology projects in Munich, Germany.

Visiona Ingeniería de Proyectos

Software Developer (Sep 2015–May 2016)

  • Developed APIs for smart applications and worked on embedded systems.

University of Valencia

Research Associate (Jun 2009–Jun 2012)

  • Conducted research on distributed algorithms for wireless sensor networks.
  • Published papers in top signal processing conferences.

SERMICRO

Computer Technician (Nov 2012–Apr 2013)

  • Hardware/software maintenance and troubleshooting using bug-tracking systems.

Research Interests 🔬

  • Deep learning and machine learning for human behavior analysis.
  • Wireless sensor networks and distributed algorithms.
  • Smart applications and environmental monitoring.
  • Coordination of multidisciplinary research projects.

Awards and Honors🏆✨

  • Selected for the FRACTALS Accelerator program for his initiative GROW-&-LINK, a crowd-commerce platform.
  • Published over 20 research works, including 10+ journal articles and 10+ conference papers.

Conclusion🌟

Gustavo Hernandez combines technical expertise in machine learning, telecommunications, and software development with strong project management and coordination skills. His research and practical experience make him a valuable contributor to multidisciplinary innovation and technology. 🚀🌐

Publications 📚

  • 🧠 Paediatric Cancer Pathways with AI
    Title: General Context and Relevant Public Datasets Available for Improving Pathways in Paediatric Cancer Applying Artificial Intelligence. A Review
    Authors: Hernández-Peñaloza, G., Uribe, S., García, F.M., Graf, N., Álvarez, F.
    Journal: EJC Paediatric Oncology, 2024, 4, 100196
    Citations: 🌟 0

  • 🌟 Childhood Cancer Data Integration
    Title: Common Core Variables for Childhood Cancer Data Integration
    Authors: Di Carlo, D., Ladenstein, R., Graf, N., Kearns, P., Bisogno, G.
    Journal: EJC Paediatric Oncology, 2024, 4, 100186
    Citations: 🌟 0

  • 🤖 Twitter Conspiracies
    Title: Conspiracy or Not? A Deep Learning Approach to Spot It on Twitter
    Authors: Galende, B.A., Hernandez-Penaloza, G., Uribe, S., Garcia, F.A.
    Journal: IEEE Access, 2022, 10, pp. 38370–38378
    Citations: 🌟 10

  • 🚀 Bot Detection Using Transformers
    Title: A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers
    Authors: Martin-Gutierrez, D., Hernandez-Penaloza, G., Hernandez, A.B., Lozano-Diez, A., Alvarez, F.
    Journal: IEEE Access, 2021, 9, pp. 54591–54601
    Citations: 🌟 42

  • 💻 FPGA Test-Bench Framework
    Title: A Novel FPGA-Based Test-Bench Framework for SDI Stream Verification
    Authors: Conti, G., Kyrkou, C., Theocharides, T., Hernández-Peñaloza, G., Jiménez, D.
    Journal: Eurasip Journal on Image and Video Processing, 2020, 2020(1), 31
    Citations: 🌟 1

  • 📡 Indoor Tracking with Generative Networks
    Title: Recurrent Model for Wireless Indoor Tracking and Positioning Recovering Using Generative Networks
    Authors: Belmonte-Hernandez, A., Hernandez-Penaloza, G., Martin Gutierrez, D., Alvarez, F.
    Journal: IEEE Sensors Journal, 2020, 20(6), pp. 3356–3365
    Citations: 🌟 28

  • 🎵 Predicting Music Popularity
    Title: A Multimodal End-to-End Deep Learning Architecture for Music Popularity Prediction
    Authors: Martin-Gutierrez, D., Hernandez Penaloza, G., Belmonte-Hernandez, A., Alvarez Garcia, F.
    Journal: IEEE Access, 2020, 8, pp. 39361–39374
    Citations: 🌟 30

  • 🏥 E-Health Platforms
    Title: TeNDER: Towards Efficient Health Systems Through E-Health Platforms Employing Multimodal Monitoring
    Authors: Solachidis, V., Moreno, J.R., Hernandez-Penaloza, G., Alvarez, F., Daras, P.
    Conference: 2021 IEEE/ACM Conference on Connected Health, 2021, pp. 185–192
    Citations: 🌟 3

  • 🌍 AI for Migrant Integration
    Title: A Novel Multi-Modal Framework for Migrants Integration Based on AI Tools and Digital Companion
    Authors: Martin-Gutierrez, D., Hernandez-Penaloza, G., Semertzidis, T., Alvarez, F., Daras, P.
    Conference: 2020 IEEE International Conference on Multimedia and Expo Workshops, 2020
    Citations: 🌟 0

  • 🛠️ Correction: FPGA Test-Bench Framework
    Title: Correction to: A Novel FPGA-Based Test-Bench Framework for SDI Stream Verification
    Authors: Conti, G., Kyrkou, C., Theocharides, T., Hernández-Peñaloza, G., Jiménez, D.
    Journal: Eurasip Journal on Image and Video Processing, 2020, 2020(1), 45
    Citations: 🌟 0

 

 

Zhong-Han Zhuang | Remote Sensing | Best Researcher Award

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Mr. Zhong-Han Zhuang | Remote Sensing | Best Researcher Award

Ph.D. Student at National Chung Hsing University, Taiwan

Zhong Han Zhuang is a Ph.D. candidate in Civil Engineering at National Chung Hsing University, Taiwan. His expertise lies in the application of advanced technologies like remote sensing, unmanned aerial vehicles (UAVs), and machine learning for agricultural and environmental monitoring. His research has been widely recognized, focusing on crop physiological monitoring and tea growth assessment using multispectral imaging and artificial intelligence.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Civil Engineering (2020–Present)
    National Chung Hsing University, Taiwan
    Focus: Remote sensing and UAV-based crop monitoring.
  • Bachelor of Fine Arts in Civil Engineering (2016–2020)
    National Chung Hsing University, Taiwan.

Professional Experience 💼

  • Ph.D. Researcher (2020–Present)
    Conducting innovative research integrating UAV multispectral imaging with crop physiological indices to assess tea growth in subtropical regions.
  • Conference Presenter and Author
    Presented findings on remote sensing, machine learning, and crop monitoring at numerous international and regional conferences, such as the International Symposium on Remote Sensing 2024 and the Asian Conference on Remote Sensing 2023.

Research Interests 🔬

  • Remote sensing and UAV-based crop monitoring.
  • Deep learning and machine learning for agricultural analysis.
  • Multispectral imaging for assessing crop growth and health.
  • Monitoring land use and land cover changes (LULCC).
  • Tea crop physiology and sustainable agricultural practices.

Awards and Honors

  • High Impact Publications
    Authored influential papers published in leading journals, such as Smart Agricultural Technology and Journal of Photogrammetry and Remote Sensing, with significant impact factors (6.3 and 12.7, respectively).
  • International Conference Participation
    Recognized for presentations at prestigious events like the EGU General Assembly and the International Symposium on Remote Sensing.

Conclusion

Zhong Han Zhuang exemplifies a new generation of researchers leveraging cutting-edge technology to address pressing agricultural and environmental challenges. His work on tea growth monitoring using UAV multispectral imaging not only advances the field of precision agriculture but also contributes to sustainable farming practices in Taiwan and beyond. As he progresses in his academic journey, his interdisciplinary expertise positions him as a key contributor to the future of agricultural innovation.

Publications 📚

  • 🌱 Zhuang, Z. H., Tsai, H. P., Chen, C. I., & Yang, M. D. (2024).
    Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images.
    📖 Journal: Smart Agricultural Technology
    📊 Impact Factor: 6.3 | Indexed in: ESCI
    🔗 DOI: 100650

  • 🌱 Zhuang, Z. H., Chen, C. I., & Tsai, H. P. (2022).
    Combining Crop Physiological Measurements and Unmanned Aerial Vehicle (UAV) Multispectral Images in Tea Tree Growth Assessment.
    📖 Journal: Journal of Photogrammetry and Remote Sensing (in Mandarin)
    📊 Impact Factor: 12.7 | Indexed in: SCIE

  • 🌳 Tsai, H. P., Wang, G. G., & Zhuang, Z. H. (2021).
    Vertical Differences in the Long-Term Trends and Breakpoints of NDVI and Climate Factors in Taiwan.
    📖 Journal: Remote Sensing
    📊 Impact Factor: 5.349 | Indexed in: SCIE

     

 

 

Bin Li | Wireless Communications | Best Researcher Award

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Prof. Bin Li | Wireless Communications | Best Researcher Award

Associate Professor at Nanjing University of Information Science and Technology, China

Bin Li is a highly accomplished academic and researcher in the field of electronic engineering, currently serving as a Professor at Nanjing University of Information Science and Technology (NUIST). His expertise lies in mobile edge computing, UAV communication, and resource allocation, with an impressive portfolio of nearly 50 technical publications in top-tier journals and international conferences.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Electronic Engineering
    Beijing Institute of Technology, China (2019)
  • Master of Engineering in Electronic Engineering
    Guilin University of Electronic Technology, China (2013)
  • Bachelor of Engineering in Information Engineering
    Guilin University of Electronic Technology, China (2010)

Professional Experience 💼

  • Professor
    Nanjing University of Information Science and Technology (Current Position)
  • Visiting Student
    University of Oslo, Norway (Oct. 2017–Oct. 2018)
  • Research Assistant
    The Hong Kong Polytechnic University (Sep. 2013–May 2014)

Research Interests 🔬

  • Mobile Edge Computing (MEC)
  • UAV Communication
  • Resource Allocation

Awards and Honors

  • Published numerous high-impact papers in SCI一区 and SCI二区 journals, such as IEEE Internet of Things Journal and IEEE Transactions on Communications.
  • Frequent reviewer for prestigious journals, including:
    • IEEE Transactions on Wireless Communications
    • IEEE Transactions on Communications
    • IEEE Communications Magazine
    • Digital Communications and Networks

Key Contributions and Achievements

  1. Publication Highlights:
    • Published extensively in IEEE Internet of Things Journal, focusing on robust trajectory design, task scheduling, and UAV-assisted MEC networks.
    • Authored impactful works on reconfigurable intelligent surfaces, secure transmission design, and adaptive digital twins in UAV networks.
  2. Innovative Research Areas:
    • Advanced UAV-assisted sensing, communication, and edge computing integration.
    • Developed multi-agent deep reinforcement learning (DRL) frameworks for trajectory optimization and computation offloading.
  3. Global Exposure:
    • Conducted research collaborations during his tenure as a visiting student at the University of Oslo.
  4. Professional Service:
    • Regular reviewer for top journals, ensuring the quality and advancement of research in wireless communications and networking.

Conclusion

Prof. Bin Li is a dynamic scholar whose contributions to mobile edge computing, UAV communication, and resource allocation are shaping the future of next-generation communication networks. His interdisciplinary research, coupled with a prolific publication record, underscores his prominence in the field. His dedication to advancing technological innovation makes him a significant influencer in both academic and professional communities.

Publications 📚

  1. 📄 Bin Li, Xiao Zhu, and Junyi Wang, “Robust trajectory design and task scheduling with data compression in industrial internet of things assisted by UAV,” IEEE Internet of Things Journal, 2024. 🚁📡
  2. 📄 Bin Li and Huimin Shan, “Offloading revenue maximization in multi-UAV-assisted mobile edge computing for video stream,” IEEE Internet of Things Journal, 2024. 📹💻
  3. 📄 Sicong Peng, Bin Li*, Lei Liu, Zesong Fei, and Dusit Niyato, “Trajectory design and resource allocation for multi-UAV-assisted sensing, communication, and edge computing integration,” IEEE Transactions on Communications, 2024. 🚁📊
  4. 📄 Bin Li, Rongrong Yang, Lei Liu, and Celimuge Wu, “Service placement and trajectory design for heterogeneous tasks in multi-UAV cooperative computing networks,” IEEE Internet of Things Journal, 2024. (SCI一区) 🚀🔗
  5. 📄 Bin Li, Wancheng Xie, and Zesong Fei, “Reconfigurable intelligent surface for sensing, communication, and computation: Perspectives, challenges, and opportunities,” IEEE Internet of Things Magazine, vol. 7, no. 4, pp. 36-42, Jul. 2024. 🛰️🧩
  6. 📄 Bin Li, Wenshuai Liu, and Wancheng Xie, “Secure transmission design for RIS-aided symbiotic radio networks: A DRL approach,” Digital Communications and Networks, vol. 10, no. 6, pp. 1566-1575, Dec. 2024. (SCI二区) 🔒🤖
  7. 📄 Bin Li, Rongrong Yang, Lei Liu, Junyi Wang, Ning Zhang, and Mianxiong Dong, “Robust computation offloading and trajectory optimization for multi-UAV-assisted MEC: A multi-agent DRL approach,” IEEE Internet of Things Journal, vol. 11, no. 3, pp. 4775-4786, Feb. 2024. (SCI一区) 📈🤝
  8. 📄 Bin Li, Zhen Qian, and Zesong Fei, “SAC-based computation offloading for reconfigurable intelligent surface-aided mobile edge networks,” China Communications, vol. 21, no. 6, pp. 261-270, Jun. 2024. (SCI二区) 🌐🧠
  9. 📄 Qingqing Tang, Zesong Fei, Bin Li, “Stochastic computation offloading for LEO satellite edge computing networks: A learning-based approach,” IEEE Internet of Things Journal, vol. 11, no. 4, pp. 5638-5652, Feb. 2024. (SCI一区) 🌌📡
  10. 📄 Bin Li, Wenshuai Liu, Wancheng Xie, Ning Zhang, and Yan Zhang, “Adaptive digital twin for UAV-assisted integrated sensing, communication, and computation networks,” IEEE Transactions on Green Communications and Networking, vol. 7, no. 4, pp. 1996-2009, Dec. 2023. (SCI二区) 🌳📱