Qiang Lin | Machine Learning | Best Researcher Award

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Dr. Qiang Lin | Machine Learning | Best Researcher Award 

Lecturer at Jiangnan University | China

Dr. Qiang Lin is a dedicated researcher in machine learning, signal processing, and intelligent fault diagnosis, with a strong emphasis on multi-view learning, feature selection, and data-driven methods for industrial and computational applications. He has authored 16 research documents that have collectively received 202 citations across 147 citing documents, with an h-index of 9, underscoring the quality and impact of his scholarly contributions. His publications in high-impact journals such as Information Sciences, Knowledge-Based Systems, Vibration Engineering, and Applied Intelligence reflect wide recognition of his work by the scientific community. With a consistent focus on developing robust supervised and semi-supervised learning algorithms tailored to real-world challenges in fault detection, classification, and predictive modeling, Dr. Lin’s research encompasses multi-view feature selection, sparse learning, distributed learning frameworks, and intelligent diagnostic systems, bridging theoretical advancements with practical engineering applications. His achievements, recognized through academic honors and acknowledgments, highlight the originality and influence of his interdisciplinary contributions, marking him as an influential researcher with strong potential for continued innovation and leadership in advancing computational intelligence and machine learning methodologies for complex industrial and scientific problems.

Profile: Scopus | Orcid

Featured Publications

Author(s). (2025). A novel green bond index prediction method based on professional network language sentiment dictionary. Sustainable Futures. Advance online publication.

 

 

 

 

 

 

NIKHAT PARVEEN | Machine Learning | Best Researcher Award

Published on by CAD Awards

 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.