Prof. Hao Tian | Communication security | Best Researcher Award

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Prof. Hao Tian | Communication security | Best Researcher Award

Prof. Hao Tian, Hubei Key Laboratory of Digital Finance Innovation, China

Prof. Hao Tian received the Ph.D. degrees in Cartography and Geographic information Engineering from Wuhan University, Wuhan, China, in 2014. He currently works as a professor in the School of Information Engineering, Hubei University of Economics, Wuhan. His main research directions are machine learning, computational intelligence, semantic technology, etc. In recent years, he has hosted and participated in 12 scientific research projects such as the National Natural Science Foundation and the Hubei Provincial Natural Science Foundation.

🌐 Professional Profile:

Orcid

🎓 Education:

Ph.D. in Cartography and Geographic Information Engineering, Wuhan University, 2014

🔍 Research Interests:

Hao Tian’s primary research interests lie in machine learning, computational intelligence, and semantic technology.

🔬 Research Accomplishments:

He has an extensive research portfolio, having hosted and participated in 12 scientific research projects, including those funded by the National Natural Science Foundation and the Hubei Provincial Natural Science Foundation.

📚 Publications:

Hao Tian has authored 2 academic monographs and published over 30 papers in prestigious domestic academic journals such as “Applied Energy”, “IEEE Transactions on Geoscience and Remote Sensing”, and “Process Safety and Environmental Protection”. His contributions have been recognized with ESI Highly Cited awards three times and he has a selected ESI Hot Paper to his credit.

Scopus Metrics:

  • 📝 Publications: 14 documents indexed in Scopus.
  • 📊 Citations: A total of 188 citations for his publications, reflecting the widespread impact and recognition of Prof. Hao Tian’s research within the academic community.

Publication Top Notes:

  1. Title: Hemisphere-separated Cross-connectome Aggregating Learning via VAE-GAN for Brain Structural Connectivity Synthesis
    • Journal: IEEE Access
    • Year: 2023
  2. Title: Bi-objective optimization and environmental assessment of SOFC-based cogeneration system: performance evaluation with various organic fluids
    • Journal: Process Safety and Environmental Protection
    • Year: 2023
  3. Title: Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization
    • Journal: Energy
    • Year: 2023
  4. Title: Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2022

 

 

 

 

 

Mr. Vijay Dahiphale | Cryptography Awards | Best Researcher Award

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Mr. Vijay Dahiphale | Cryptography Awards | Best Researcher Award

Mr. Vijay Dahiphale, Binghamton University, United States

Mr. Vijay Dahiphale holds an M.S. in Computer Science from Binghamton University and a B.E. in Electronics and Telecommunications from Pune University. Specializing in cryptography and security, his research spans lightweight encryption, data encryption algorithms, embedded systems security, and IoT systems security. Currently, Vijay is engaged in projects such as developing lightweight encryption models for cloud storage and implementing secure systems for smart homes. With experience as a Graduate Assistant at Binghamton University and as a Senior Software Engineer at Mobiquity Inc and MSM.digital, he brings expertise in admission data analysis, frontend development, performance optimization, and security measures to his work.

🌐 Professional Profile:

Scopus

Orcid

Google Scholar

📚 Education:

M.S. in Computer Science from Binghamton University (Aug 2023 – May 2025) and B.E. in Electronics and Telecommunications from Pune University (July 2014 – May 2018)

🔍 Research Area:

Vijay specializes in various aspects of cryptography and security, including lightweight encryption, data encryption algorithms, embedded systems security, and IoT systems security.

🔬 Current Research:

Vijay’s current projects include developing a lightweight encryption model for cloud storage, smart farming using machine learning, and implementing a lightweight encryption system for smart homes.

💼 Professional Experience:

Vijay has worked as a Graduate Assistant at Binghamton University, focusing on admission data analysis. Previously, he served as a Senior Software Engineer at Mobiquity Inc and MSM.digital, leading projects and specializing in frontend development, performance optimization, and security aspects.

Publication Top Notes: