Fan Yang | Machine learning | Best Researcher Award

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Dr. Fan Yang | Machine learning | Best Researcher Award

Dr. Fan Yang | Qinghai Normal University | China

Dr. Fan Yang, Ph.D., is an Associate Professor in the School of Computer Science at Qinghai Normal University, recognized for his expanding contributions to human–machine systems and artificial intelligence. He has developed a strong academic profile with multiple peer-reviewed publications in high-impact journals and internationally respected conferences, reflecting his growing influence in intelligent interaction and adaptive computational technologies. His background includes advanced training in computer science with a research emphasis on intelligent human–machine collaboration and adaptive AI modeling. In his current role, he teaches core subjects in artificial intelligence and interactive systems while supervising graduate research and contributing to national and provincial research initiatives. His research interests span intelligent interaction, AI-driven decision technologies, adaptive computational models, and integrated human–machine environments, with a focus on connecting machine intelligence to real-world human behavior. His early achievements, impactful research output, and contributions to cutting-edge AI technologies have earned him recognition within the research community and position him as a competitive candidate for prestigious research awards.

Profile: ORCID

Featured Publications

Yang, F. “Adaptive human–machine interaction using deep attention models.” IEEE Transactions on Human–Machine Systems. — Cited by 12.

Yang, F. “Multi-agent reinforcement learning for human-centered AI.” ACM CHI Conference. — Cited by 8.

Yang, F. “Cognitive-driven robot collaboration under dynamic environments.” Robotics and Autonomous Systems. — Cited by 15.

Yang, F. “Real-time interaction modeling using hybrid deep networks.” Neurocomputing. — Cited by 20.

Yang, F. “Intelligent behavior prediction in human–machine teams.” IEEE ICMLA Conference. — Cited by 5.

NIKHAT PARVEEN | Machine Learning | Best Researcher Award

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 Dr. NIKHAT PARVEEN | Machine Learning | Best Researcher Award

 Dr, NIKHAT PARVEEN,KL University, India

Dr. Nikhat Parveen is a distinguished academic and researcher affiliated with KL University, India. She has an extensive background in her field, contributing significantly to both the academic and research communities. Dr. Parveen’s expertise spans various domains, and she is known for her dedication to advancing knowledge and fostering innovation.

 

Professional Profiles:

Google scholar

Education :

  • PhD in Computer Science, Integral University, Lucknow, 2017
  • Master of Computer Applications (M.C.A.), Andhra University, Visakhapatnam, 2003, 69.4%
  • Bachelor of Science in Computer Science (B.Sc.), Andhra University, Visakhapatnam, 2000, 62%
  • XII (Science), C.B.S.E, Visakhapatnam, 1997, 60.4%
  • X (Science), C.B.S.E, Visakhapatnam, 1995, 59.8%

Teaching Experience:

  • Associate Professor, KLEF, Vijayawada, Present
  • Resource Person, Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Aug 2018 – Nov 2018
  • Assistant Professor, School of Management Sciences, Sultanpur Road, Lucknow, Nov 2017 – Nov 2018
  • Lecturer, Sahara Arts & Management Academy, Lucknow, Aug 2006 – Jun 2011
  • Lecturer, Gyan Institute of Management and Technology, Lucknow, Sep 2004 – Aug 2006

Research Experience:

  • Research Scholar, Integral University, Lucknow, Sep 2011 – Feb 2017,Focus: Security Software, Addressing Security at Requirement Phase through Secure Requirement Specification Framework

Achievements and Recognition:

  • Certificate of Recognition, Business School of Delhi, 2010
  • Best Woman Faculty Award, Novel Research Academy, Puducherry, 2021
  • Best Woman Faculty Award, KLEF, 2021
  • Lifetime Member, Computer Society of India, Membership ID: 2010000595
  • Lifetime Member, ACM, Membership ID: 5619476
  • Associate Member, Universal Association of Computer and Electronics Engineers, Membership ID: AM101000583731

Publications :

  1. “QoS-Aware Cloud Service Recommendation Using Metaheuristic Approach,” MDPI, Electronics, 2022
  2. “CROSS-VERSION SOFTWARE FAULT DETECTION MODEL WITH AUTOMATIC DATA SELECTION,” Journal of Theoretical and Applied Information Technology, 2022
  3. “Online employment portal architecture based on expert system,” Indonesian Journal of Electrical Engineering and Computer Science, 2022
  4. “Equivalent mutant identification using hybrid wavelet convolutional rain optimization,” Software – Practice and Experience, 2022
  5. “Testing coverage criteria for optimized deep belief network with search and rescue,” Journal of Big Data, 2021
  6. “Quantify and alleviate OAuth approach token system exploiting by conspiracy lattice,” International Journal of System of Systems Engineering, 2021
  7. “A Fuzzy Approach for Handling Relationship Between Security and Usability Requirements,” Advances in Intelligent Systems and Computing, 2021

International Conferences:

  • Numerous papers presented on security requirement frameworks and secure software engineering.