Prof Dr. Tony Quek | Networking | Best Researcher Award

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Prof Dr. Tony Quek | Networking | Best Researcher Award

Professor at Networking , Singapore University of Technology and Design, Singapore

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Prof. Dr. Tony Quek pursued his academic journey with a Bachelor of Engineering in Electrical & Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, graduating in 1998. He furthered his studies at the same institution, completing a Master of Engineering in Information Processing from April 1998 to March 2000, focusing on Multiuser Detection for DS-CDMA Mobile Communication Systems under the guidance of Professor Hiroshi Suzuki. Dr. Quek’s academic pursuits led him to Massachusetts Institute of Technology (MIT), Cambridge, MA, where he obtained his Ph.D. in Electrical Engineering and Computer Science from September 2002 to February 2008. His doctoral research centered on Efficient Approaches to Robust and Cooperative Wireless Network Design, mentored by Professor Moe Z. Win.

Research Interest:

Dr. Tony Quek’s general research interests revolve around applying mathematical, optimization, learning, and statistical theories to various communication, networking, signal processing, and resource allocation problems. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G technology. He explores innovative approaches to enhance the efficiency, reliability, and intelligence of communication systems, with a focus on advancing the capabilities of future wireless networks.

Awards & Honors:

Dr. Tony Quek has received numerous honors and awards for his outstanding contributions to the field of electrical engineering and computer science. In 2023 and 2022, he was recognized as one of the World’s Top 2% Scientists. In 2022, he was elected as a Fellow of the Academy of Engineering Singapore and received the IEEE Signal Processing Society Best Paper Award. The year 2021 brought further accolades, including the OpenGov Recognition of Excellence and another recognition as one of the World’s Top 2% Scientists. In 2020, Dr. Quek was awarded the Nokia Visiting Professorship, recognized as a Clarivate Analytics Highly Cited Researcher, and received the IEEE Stephen O. Rice Prize in the Field of Communications Theory, among other honors. His contributions have been consistently recognized, including being elected as an IEEE Fellow in 2018 for his contributions to heterogeneous and wireless networks. Dr. Quek has also served as a Distinguished Lecturer for the IEEE Communications Society.

Experience:

Dr. Tony Quek has held several significant roles in academia and research. Since December 2022, he has served as the STEngineering Distinguished Professor at Singapore Technologies Engineering. Prior to this, Dr. Quek was appointed as the Director of the Future Communications R&D Programme at the Singapore University of Technology and Design (SUTD) in May 2021. He also served as the Interim Programme Director for the Design and Artificial Intelligence Programme at SUTD from April 2020 to December 2020. In March 2020, Dr. Quek was appointed as a Full Professor in the Information Systems Technology and Design Pillar at SUTD, where he currently holds the position of Head of Pillar. His work in these roles has contributed significantly to the advancement of research and education in the field of electrical engineering and computer science.

Teaching Experience:

Dr. Tony Quek has an extensive teaching experience at the Singapore University of Technology and Design (SUTD) in the ISTD and ESD Pillars. Since January 2013, he has taught several courses including “Modelling the Systems World” (Term 3, 2013, 2014, 2015), “The Digital World” (Term 3, 2014, 2016), and “Introduction to Probability and Statistics” (Term 5, 2018, 2019). His teaching contributions have been instrumental in shaping the learning experiences of students in the areas of modelling, digital systems, and probability and statistics, helping them develop a strong foundation in these subjects.

Publications:

  1. Enhanced intercell interference coordination challenges in heterogeneous networks
    • Authors: D Lopez-Perez, I Guvenc, G De la Roche, M Kountouris, TQS Quek, …
    • Citations: 1306
    • Year: 2011
  2. Federated learning with differential privacy: Algorithms and performance analysis
    • Authors: K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
    • Citations: 1244
    • Year: 2020
  3. Offloading in mobile edge computing: Task allocation and computational frequency scaling
    • Authors: TQ Dinh, J Tang, QD La, TQS Quek
    • Citations: 881
    • Year: 2017
  4. Energy efficient heterogeneous cellular networks
    • Authors: YS Soh, TQS Quek, M Kountouris, H Shin
    • Citations: 676
    • Year: 2013
  5. Sensor OpenFlow: Enabling software-defined wireless sensor networks
    • Authors: T Luo, HP Tan, TQS Quek
    • Citations: 614
    • Year: 2012
  6. Scheduling policies for federated learning in wireless networks
    • Authors: HH Yang, Z Liu, TQS Quek, HV Poor
    • Citations: 522
    • Year: 2019

Dr. Longinus Ezema | Telecommunication Engineering | Best Researcher Award

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Dr. Longinus Ezema : Leading Researcher in Telecommunication Engineering

Senior Lecturer at Telecommunication Engineering, Federal University of Technology, Owerri, Imo State, Nigeria

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

  • Ph.D. in Electronic Engineering (Communication Engineering Option)
    • Institution: University of Nigeria Nsukka (UNN), Enugu State, Nigeria
    • Duration: 2013 – 2018
  • M.Sc. in Electrical Engineering (Telecommunication System)
    • Institution: Blekinge Institute of Technology (BTH), Blekinge, Sweden
    • Duration: 2006 – 2007
  • B.Eng. in Electrical/Electronic Engineering (Communication Engineering Option)
    • Institution: Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
    • Duration: 1999 – 2004
  • Education History
    • Secondary Education: Obukpa Community Secondary School, Nsukka, Enugu State, Nigeria (1992 – 1997)
      • Awarded WAEC Senior School Certificate
    • Primary Education: Alagba Primary School, Ede-Oballa, Nsukka, Enugu State, Nigeria (1986 – 1991)
      • Awarded FSLC Primary School Certificate

Longinus Ezema ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 1338, Since 2018: 1325
  • Citations: 1338 (All), 1325 (Since 2018)
  • h-index: 21 (All), 20 (Since 2018)
  • i10-index: 39 (All), 39 (Since 2018)

These metrics showcase the impact of Ezema ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Professional Experience:

  • Teaching Responsibilities:
    • Lecturing on communication engineering and engineering mathematics for both undergraduate and postgraduate students.
  • Research Involvement:
    • Actively engaged in advanced research within the field of electrical and electronic engineering.
  • Student Supervision:
    • Supervision of undergraduate and postgraduate student projects, theses, and seminars.
  • Mentoring and Advising:
    • Advising and mentoring students of the EEE department at FUTO during the 2016/2017 academic year.
  • Administrative Duties:
    • Supervision of examinations and computation of results.

Area of Research:

Longinus Ezema’s research interests are in mobile communication, with a specific focus on location estimation and artificial intelligence. His current research is dedicated to developing a model or algorithm for accurately estimating mobile locations within cellular networks. The goal is to achieve a high degree of accuracy that meets the FCC-USA phase II accuracy requirement for emergency positioning.

Memberships:

  • Member, Nigerian Society of Engineers (NSE)
  • Member, National Society of Black Engineers (NSBE)
  • Member, Institute of Electrical and Electronic Engineers (IEEE)
  • Registered Engineer, Council for Regulation of Engineering in Nigeria (COREN)

Activities:

Longinus Ezema is actively involved in leadership mentoring and character formation of the ever-growing youth population in his immediate environment.

Publication:

Design of automatic change over switch with generator control mechanism

  • Published in Energy in 2012 with 55 citations.

FINGERPRINT BASED ATTENDANCE MANAGEMENT SYSTEM

  • Published in Energy  with 30 citations.

A comprehensive review on the feasibility and challenges of millimeter wave in emerging 5G mobile communication

  • Published in Energy in 2019 with 23 citations.

Artificial Neural Network Approach to Mobile Location Estimation in GSM Network

  • Published in Energy in 2017 with 17 citations.

Multi linear regression model for mobile location estimation in GSM Network

  • Published in Energy in 2016 with 10 citations.

A Survey on the Availability of TV White Spaces in Eastern Nigeria (FUT Owerri, As Case Study)

  • Published in Energy with 09 citations.

5G Network Deployment in Nigeria: Key Challenges and The Way Forward

  • Published in Energy in 2021 with 07 citations.

Mobile location estimation in GSM/UMTS

  • Published in Energy in 2014 with 04 citations.