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:

Google Scholar

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

 

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

πŸ‘©β€πŸŽ“ Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. πŸ†πŸ”πŸ“š

🌐 Professional Profiles :

Scopus

Google Scholar

πŸŽ“ Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

πŸ‘©β€πŸ’Ό Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

πŸ† Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

πŸ”¬ Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

πŸ“š Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANet’23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

πŸ“šΒ Publication Impact and Citations :

Scopus Metrics:

  • πŸ“Β Publications: 45 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fu’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 πŸ“–
    • h-index: 15Β  πŸ“Š
    • i10-index: 18 πŸ”
  • Since 2018:
    • Citations: 899 πŸ“–
    • h-index: 15 πŸ“Š
    • i10-index: 18 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.