Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher Award

Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher AwardΒ 

Dr. Kianoosh Boroojeni, Florida International University, United States

Dr. Kianoosh Boroojeni is an Associate Teaching Professor at the Knight Foundation School of Computing & Information Sciences, Florida International University (FIU). He earned his Ph.D. and M.S. in Computer Science from FIU and a B.Eng. in Computer Engineering from the University of Tehran. His research interests include cybersecurity, generative AI in computer science education, STEM education, and computer networks. With over 50 scientific publications and more than 1,150 citations, Dr. Boroojeni has made significant contributions to his field. He has played a pivotal role in integrating AI-powered tools into computer science education and has collaborated with Google to enhance programming courses. His leadership extends to overseeing programming gateway courses, developing cybersecurity curricula, and promoting inclusive computing education. He has received multiple teaching recognitions and actively mentors students.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Kianoosh Boroojeni

Dr. Kianoosh Boroojeni is a highly accomplished researcher and educator in cybersecurity, AI in education, and computer networks, making him a strong candidate for the Best Researcher Award. His academic background, extensive research contributions, and leadership in integrating AI into education highlight his impact in the field.

Education πŸ“š

  • Ph.D., Computer Science – Florida International University, USA (2017)
  • M.S., Computer Science – Florida International University, USA (2016)
  • B.Eng., Computer Engineering – University of Tehran, Iran (2012)

Work Experience πŸ’Ό

πŸ”Ή Associate Teaching Professor – Florida International University (2023 – Present)

  • Leads Programming Gateway Committee to improve programming course success rates πŸ“Š
  • Collaborates with Google to integrate Generative AI in CS education πŸ€–
  • Chairs Faculty & Staff Awards Committee in the College of Engineering & Computing πŸ†
  • Supports intensive programming courses like CS I, II & III, Data Structures, and OS πŸ’Ύ

πŸ”Ή Assistant Teaching Professor – Florida International University (2017 – 2023)

  • Taught 16+ undergraduate courses and 4 graduate/Ph.D. courses 🏫
  • Developed new cybersecurity courses on Blockchains πŸ”
  • Led Google’s Tech-Exchange Program to recruit Hispanic & Black students into Google workforce 🌍
  • Designed and improved online courses to achieve Quality Matters (QM) Certifications βœ…
  • Achieved high student evaluations (4.6/5.0 overall) πŸ“ˆ

πŸ”Ή Post-Doctoral Fellow – Florida International University (Spring & Summer 2017)

  • Conducted DoD-funded research on network security & privacy πŸ”Ž
  • Mentored students in NSF-sponsored Research Experience program πŸ‘¨β€πŸ«

πŸ”Ή Graduate Assistant – Florida International University (2012 – 2017)

  • Assisted faculty in teaching & grading multiple undergraduate/graduate courses ✍️
  • Collaborated with researchers from Carnegie Mellon & University of British Columbia 🀝

Achievements & Awards πŸ…

πŸ† Published 50+ scientific papers with 1150+ citations (h-index: 19) πŸ“„
πŸ† Led Google-FIU collaboration to integrate LLM-powered AI tools in CS education πŸ€–
πŸ† Chaired Programming Gateway Committee to improve programming course completion rates 🎯
πŸ† Successfully developed and taught two new cybersecurity courses on Blockchain πŸ”
πŸ† Achieved high teaching ratings (4.6/5.0) for multiple CS courses πŸ“Š
πŸ† Contributed to NSF & DoD research projects on cybersecurity and network security πŸ›

PublicationΒ Top Notes:

Fundamentals of brooks-iyengar distributed sensing algorithm: Trends, advances, and future prospects

A Multi-time-scale Time Series Analysis for Click Fraud Forecasting using Binary Labeled Imbalanced Dataset

Prof. Chaoying Tang | Data Mediator | Best Researcher Award

Prof. Chaoying Tang | Data Mediator | Best Researcher Award

Prof. Chaoying Tang, University of Chinese Academy, China

Chaoying Tang is a professor at the School of Economics and Management, University of Chinese Academy of Sciences, specializing in creativity development and management. She earned her Ph.D. in Management Science from the Graduate School of the Chinese Academy of Sciences in 2005 and has since led numerous research projects funded by the National Natural Science Foundation of China and the Ministry of Science and Technology. Her work explores breakthrough innovation in high-tech industries, R&D team creativity, and knowledge networks. She has received several prestigious awards, including the President’s Honorary Award of the Chinese Academy of Sciences and the Zhu Liyuehua Excellent Teacher Award. As a dedicated researcher and educator, she has contributed significantly to the study of innovation management and talent development in scientific and technological fields.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award – Prof. Chaoying Tang

Professor Chaoying Tang is a highly accomplished researcher in creativity development and management, with a strong record of leading national and international research projects. Her work on breakthrough innovation, R&D team creativity, and knowledge networks has contributed significantly to the field of management science and innovation studies.

πŸŽ“ Education & Work Experience

  • Ph.D. in Management Science (2005) – Graduate School of the Chinese Academy of Sciences
  • Professor – School of Economics and Management, University of Chinese Academy of Sciences
  • Researcher – Specializing in creativity development and management

πŸ† Achievements

  • Led multiple National Natural Science Foundation of China (NSFC) projects, focusing on breakthrough innovation, high-tech industries, and R&D team creativity
  • Chaired an Innovation Method Research project under the Ministry of Science and Technology
  • Participated in the EU Erasmus+ CReativity E-Modules in Education project (2015-2018)
  • Conducted research on the management system of German Science & Technology Societies

πŸŽ– Awards & Honors

  • πŸ… President’s Honorary Award – Chinese Academy of Sciences (2004)
  • πŸ₯‰ Third Prize – Beijing Science and Technology Progress Award (2006)
  • πŸ₯ˆ Second Prize – Teaching Achievement Award, Chinese Academy of Sciences (2008)
  • πŸ“œ Best Conference Paper Award – International Technology Innovation Management Conference (2009)
  • πŸ† Annual Best Paper – International Journal of Chinese Human Resources Management (2012)
  • πŸ… Best Reviewer Award – Creativity and Innovation Management (SSCI) (2020)
  • πŸŽ“ Zhu Liyuehua Excellent Teacher Award – Chinese Academy of Sciences (2021)

PublicationΒ Top Notes:

Navigating Inter-Team Competition: How Information Broker Teams Achieve Team Innovation

FsQCA analysis of differences of two kinds of scientific and technological talents’ growth environment

Intrinsic motivation and knowledge sharing in the mood–creativity relationship

The influence of subjective norms and science identity on academic career intentions

The effects of creative personality on scientist creativity