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

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

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 📚

  • 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 💼

🔹 Associate Teaching Professor – Florida International University (2023 – Present)

  • Leads Programming Gateway Committee to improve programming course success rates 📊
  • Collaborates with Google to integrate Generative AI in CS education 🤖
  • Chairs Faculty & Staff Awards Committee in the College of Engineering & Computing 🏆
  • Supports intensive programming courses like CS I, II & III, Data Structures, and OS 💾

🔹 Assistant Teaching Professor – Florida International University (2017 – 2023)

  • Taught 16+ undergraduate courses and 4 graduate/Ph.D. courses 🏫
  • Developed new cybersecurity courses on Blockchains 🔐
  • 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
  • Achieved high student evaluations (4.6/5.0 overall) 📈

🔹 Post-Doctoral Fellow – Florida International University (Spring & Summer 2017)

  • Conducted DoD-funded research on network security & privacy 🔎
  • Mentored students in NSF-sponsored Research Experience program 👨‍🏫

🔹 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 🏅

🏆 Published 50+ scientific papers with 1150+ citations (h-index: 19) 📄
🏆 Led Google-FIU collaboration to integrate LLM-powered AI tools in CS education 🤖
🏆 Chaired Programming Gateway Committee to improve programming course completion rates 🎯
🏆 Successfully developed and taught two new cybersecurity courses on Blockchain 🔐
🏆 Achieved high teaching ratings (4.6/5.0) for multiple CS courses 📊
🏆 Contributed to NSF & DoD research projects on cybersecurity and network security 🏛

Publication 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

Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Assoc. Prof. Dr. Junfeng Chen | Data Smoothing Awards | Best Researcher Award

Assoc. Prof. Dr. Junfeng Chen, Hohai University, China

Junfeng Chen is an accomplished Associate Professor at the College of Artificial Intelligence and Automation at Hohai University in Changzhou, Jiangsu, China. She holds a Ph.D. in Control Science and Engineering from Zhejiang University, where her dissertation focused on stagnation analysis of computational intelligence approaches. Chen also completed her M.Sc. in Automation at Harbin University of Science and Technology, concentrating on multi-sensor information fusion and its applications in mobile robotics. With a career at Hohai University spanning over a decade, she has progressed from Associate Lecturer to Lecturer, and now to Associate Professor, contributing significantly to the fields of artificial intelligence and automation. Her research interests encompass various aspects of computational intelligence, and she has published several papers in reputable journals, reflecting her commitment to advancing knowledge in her field.

Professional Profile:

ORCID

Suitability of Junfeng Chen for the Best Researcher Award

Based on the provided Curriculum Vitae, Junfeng Chen (陈俊风) demonstrates strong qualifications and achievements that make her a suitable candidate for the Best Researcher Award. Here are the key points supporting this opinion.

Education 🎓

  • Ph.D. in Control Science and Engineering
    Zhejiang University (ZJU), Hangzhou, Zhejiang, P. R. China
    Sep. 2007 – Sep. 2011
    Dissertation Topic: Stagnation Analysis of a Class of Computational Intelligence Approaches
    Supervisor: Prof. Tiejun Wu
  • M.Sc. by Research in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 2001 – Apr. 2004
    Dissertation Topic: Multi-sensor Information Fusion and Its Application in Mobile Robots
    Supervisor: Prof. Hua Sun
  • B.Sc. in Automation
    Harbin University of Science and Technology (HUST), Harbin, Heilongjiang, P. R. China
    Sep. 1997 – Jul. 2001

Work Experience 💼

  • Associate Professor
    College of Artificial Intelligence and Automation, Hohai University (HHU), Changzhou, China
    Jan. 2015 – Present
  • Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Aug. 2007 – Dec. 2014
  • Associate Lecturer
    College of Computer & Information Engineering, Hohai University (HHU), Changzhou, China
    Apr. 2004 – Jun. 2007

Achievements & Awards 🏆

  • Best Paper Award
    Awarded for outstanding research publication at the International Conference on Artificial Intelligence and Automation (ICAA).
  • Research Grant Recipient
    Received funding for research on multi-sensor information fusion from the National Natural Science Foundation of China.
  • Excellent Teacher Award
    Recognized for excellence in teaching at Hohai University, awarded by the College of Artificial Intelligence and Automation.
  • Outstanding Contribution Award
    Honored for significant contributions to the field of computational intelligence and automation at national conferences.

Publication Top Notes: