Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao, Xidian University, China

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, where he leads research in interactive learning, deep reinforcement learning, and multi-objective game confrontation. With over 10 publications in prestigious international journals and conferences, his work showcases significant innovation and expertise in artificial intelligence and machine learning. Mr. Zhao actively contributes to the field through his roles in specialized committees, including the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC. His research interests and professional activities highlight his dedication to advancing AI technology and his influence within the scientific community.

Professional Profile:

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Suitability for the Award

Mr. Bocheng Zhao is a strong contender for the Research for Best Researcher Award due to his significant contributions to the fields of AI and machine learning, particularly in areas that are at the forefront of current technological advancements. His active involvement in professional committees, coupled with his role as an associate professor at a leading institution, further solidifies his position as a leading researcher in his field.

Professional Role and Expertise:

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, indicating a leadership position in a prominent academic institution. His primary research areas include interactive learning, deep reinforcement learning, and multi-objective game confrontation. This expertise aligns well with cutting-edge research topics in artificial intelligence and machine learning.

Research Contributions:

Mr. Zhao has made substantial contributions to his field with over 10 publications in prestigious international journals and conferences. His work in interactive learning and reinforcement learning addresses complex problems and demonstrates a high level of research innovation and technical expertise.

Professional Memberships:

His involvement in specialized committees, such as the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC, highlights his active role in shaping the future of these research areas and his influence in the broader scientific community.

Research Interests:

His research interests in interactive learning, intelligent growth, and related fields reflect a focus on advancing knowledge and technology in significant areas of artificial intelligence. This aligns with the goals of the Research for Best Researcher Award, which seeks to recognize individuals making notable contributions to their fields.

Publication Top Notes:

  • Title: Parame: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
    • Year: 2020
    • Cited by: 60
  • Title: Deep Imitator: Handwriting Calligraphy Imitation via Deep Attention Networks
    • Year: 2020
    • Cited by: 23
  • Title: Pen Tip Motion Prediction for Handwriting Drawing Order Recovery Using Deep Neural Network
    • Year: 2018
    • Cited by: 14
  • Title: Nonrigid Point Matching of Chinese Characters for Robot Writing
    • Year: 2017
    • Cited by: 12
  • Title: Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation with a Weakly Supervised Framework
    • Year: 2022
    • Cited by: 5

 

Dr. Asfand Fahad | Network Analysis Awards | Best Researcher Award

Dr. Asfand Fahad | Network Analysis Awards | Best Researcher Award

Dr. Asfand Fahad, Zhejiang Normal University, China

Dr. Asfand Fahad is a highly accomplished mathematician affiliated with Zhejiang Normal University in China. He holds a PhD and M.Phil. in Mathematics from Abdus Salam School of Mathematical Sciences, GC University Lahore, Pakistan, awarded in 2016 and 2013 respectively. Dr. Fahad’s academic journey reflects a profound dedication to advancing mathematical research and education, particularly in the domains of mathematical analysis, information optimization problems, and network analysis. With over 8 years of post-Ph.D. teaching experience at universities in Pakistan, he has mentored numerous Ph.D. and Master’s students, significantly enhancing their academic growth and research output. Dr. Fahad’s commitment to research excellence and multidisciplinary collaboration underscores his impact on academia, making him a pivotal figure in the field of mathematics and computational methodologies.

Professional Profile:

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πŸŽ“ Education & Qualifications:

Dr. Asfand Fahad is a highly accomplished mathematician with a PhD and M.Phil. in Mathematics from Abdus Salam School of Mathematical Sciences, GC University Lahore, Pakistan, awarded in 2016 and 2013 respectively. His academic journey reflects a strong dedication to advancing mathematical research and education. Dr. Fahad’s expertise spans various domains within mathematics, contributing significantly to the field through his research and scholarly pursuits at GC University Lahore. His commitment to excellence and innovation in mathematics underscores his profound impact on academia and research in Pakistan.

πŸ“š Teaching Experience:

Dr. Asfand Fahad is a seasoned academic with over 8 years of post-Ph.D. teaching experience at universities in Pakistan. Throughout his career, he has made substantial contributions to higher education, mentoring and supervising numerous Ph.D. and Master’s students. Dr. Fahad’s commitment to fostering academic growth and enhancing research output among his students underscores his passion for education and scholarly pursuits. His expertise and dedication have positioned him as a respected figure in the academic community, contributing significantly to the development of future scholars in Pakistan.

πŸ”¬ Research Interests:

Dr. Asfand Fahad is a distinguished scholar specializing in mathematical analysis and applications, information optimization problems, and network analysis. His research focuses on developing computational tools to address multidisciplinary research challenges, emphasizing innovation and practical applications. Dr. Fahad’s expertise in mathematical analysis and optimization contributes significantly to advancing scientific knowledge and enhancing computational methodologies across various domains. His commitment to research excellence and multidisciplinary collaboration positions him as a key figure in the academic community, dedicated to solving complex problems through rigorous mathematical approaches.

πŸ† Achievements:

Recipient of multiple awards including Outstanding Researcher Awards and involvement in significant research projects in China and Pakistan.

Publication Top Notes:

  1. Zagreb connection number index of nanotubes and regular hexagonal lattice
    • Year: 2019
    • Cited by: 36
  2. Jensen-Mercer variant of Hermite-Hadamard type inequalities via Atangana-Baleanu fractional operator
    • Year: 2022
    • Cited by: 27
  3. Some eccentricity-based topological indices and polynomials of poly (EThyleneAmidoAmine)(PETAA) dendrimers
    • Year: 2019
    • Cited by: 24
  4. Comparison of irregularity indices of several dendrimers structures
    • Year: 2019
    • Cited by: 20
  5. On topological indices for new classes of benes network
    • Year: 2021
    • Cited by: 19

 

 

 

Prof. Seok-Joo Koh | Handover in Wireless Networks | Best Researcher Award

Prof. Seok-Joo Koh | Handover in Wireless Networks | Best Researcher Award

Prof. Seok-Joo Koh | Handover in Wireless Networks | Best Researcher Award

Prof. Seok-Joo Koh is a distinguished researcher in the field of wireless networks, currently serving as a Professor at the School of Computer Science and Engineering (CSE) at Kyungpook National University (KNU) πŸŽ“. He earned his Bachelor’s and Master’s degrees in Management Science from the Korea Advanced Institute of Science and Technology (KAIST) and completed his Ph.D. in Industrial Engineering at KAIST as well 🌐. Dr. Koh’s career began at the Electronics and Telecommunications Research Institute (ETRI), where he worked as a Senior Researcher before joining KNU in 2004 πŸ”¬. His research focuses on Internet of Things (IoT) protocols like SCTP, CoAP, and QUIC, with particular emphasis on Internet mobility management and multicast technologies for In-Vehicle Infotainment (IVI) services πŸš—. Recently, his work on “mQUIC” in IEEE Communications Magazine (April 2024) underscores his contributions to enhancing handover support and connection migration in wireless and mobile networks πŸ“„.

🌐 Professional Profile:

Orcid

Scopus

πŸŽ“ Education

Seok-Joo Koh received his Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Management Science from the Korea Advanced Institute of Science and Technology (KAIST) in 1992 and 1994, respectively. He went on to complete his Ph.D. in Industrial Engineering at KAIST in 1998.

🌐 Employment

Since March 2004, Dr. Koh has served as a Professor at the School of Computer Science and Engineering (CSE) at Kyungpook National University (KNU) in Daegu, Korea. Prior to his current position, he held the role of Senior Researcher at the Protocol Engineering Center in the Electronics and Telecommunications Research Institute (ETRI) from August 1998 to February 2004.

πŸ”¬ Research Focus

Dr. Koh’s research interests center around the Internet of Things (IoT), focusing particularly on IoT-related protocols such as SCTP, CoAP, and QUIC. He is also actively engaged in exploring Internet mobility management, multicast technologies, and their applications in In-Vehicle Infotainment (IVI) services.

πŸ“„ Recent Contributions

Recent contributions include his work on “mQUIC: Use of QUIC for Handover Support with Connection Migration in Wireless/Mobile Networks” published in IEEE Communications Magazine (April 2024), highlighting his expertise in enhancing network protocols for seamless connectivity transitions.

Publication Top Notes:

  • Use of QUIC for Mobile-Oriented Future Internet (Q-MOFI)
    • YEAR: 2024-01
  • Zero Energy IoT Devices in Smart Cities Using RF Energy Harvesting
    • YEAR: 2022
  • Image Forensics Using Non-Reducing Convolutional Neural Network for Consecutive Dual Operators
    • YEAR: 2022-07
  • Proxy-Based Adaptive Transmission of MP-QUIC in Internet-of-Things Environment
    • YEAR: 2021
  • Agent-Based In-Vehicle Infotainment Services in Internet-of-Things Environments
    • YEAR: 2020-08

 

 

 

Mr. Pingkang Guo | Network Optimization Awards | Best Researcher Award

Mr. Pingkang Guo | Network Optimization Awards | Best Researcher Award

Mr. Pingkang Guo, Hebei Normal University, China

Pingkang Guo is driven by a passion for advancing technology and solving real-world problems through innovative research in software engineering. With a focus on MEC and UAV communication, he is dedicated to contributing to the field and exploring new avenues for technological advancement.

🌐 Professional Profile:

Scopus

πŸŽ“ Education:

Pingkang Guo is currently pursuing a Master of Science (M.S.) degree in software engineering at Hebei Normal University.

πŸ”¬ Research Interests:

His research interests primarily focus on Mobile Edge Computing (MEC) and Unmanned Aerial Vehicle (UAV) communication.

πŸ‘¨β€πŸ’» Scientific Research:

Pingkang Guo has actively participated in various research projects:

  • Departmental Projects: Participated in 2 departmental projects.
  • University-level Projects: Engaged in 3 university-level projects.
  • College-level Project: Contributed to 1 college-level project.
  • Summer Practice: Actively participated in summer practice, gaining valuable hands-on experience.

Publication Top Note:

  • Title: A survey of energy efficient methods for UAV communication
  • Published in: Vehicular Communications
  • Year: 2023
  • Citations: 10