Mr. Kennedy Kipkoech | Infectious Disease Mathematical Modelling | Best Researcher Award

Mr. Kennedy Kipkoech | Infectious Disease Mathematical Modelling | Best Researcher Award

PhD student at Infectious Disease Mathematical Modelling, University of Bristol, Kenya

Mr. Kennedy Kipkoech is a career Biostatistician and Modeler with 14 years of experience in research and policy at health research institutions and government agencies. He can work with researchers, program implementers, and policymakers in scientific inquiries, generating and disseminating new knowledge to inform policy and programming. His research interests focus on using epidemiological methods and statistical and mathematical modeling approaches to understand transmission dynamics and control of infectious diseases, particularly the evaluation of the impact of program interventions on HIV, viral hepatitis, and non-communicable diseases epidemics.

Professional Profiles:

Education:

Mr. Kennedy Kipkoech has a diverse academic background, including a Bachelor’s degree in Applied Statistics from Maseno University, Kenya, awarded with First Class Honors in 2008. He also holds a Master’s degree in Biostatistics from Moi University, Kenya, obtained in 2011. Currently, he is pursuing a Ph.D. in Infectious Disease Modelling at the University of Bristol/Cape Town, expected to be completed in 2024.

Experience:

From March 2010 to June 2013, Mr. Kennedy Kipkoech worked as a Data Analyst at the Kenya Medical Research Institute, Center for Global Health Research (KEMRICGHR) in Kisumu, Kenya. In this role, he was responsible for statistical data analysis and data management, scientific writing of manuscripts and abstracts, developing data tools, and liaising with software developers to develop and test program data management systems. Following this, from July 2013 to August 2014, he served as a Biostatistician at the Academic Model Providing Access to Healthcare (AMPATH) Research Collaboration in Eldoret, Kenya. His responsibilities included statistical data analysis, protocol and proposal development, manuscript and abstract writing and review, and updating and reporting to the Data and Safety Monitoring Board (DSMB) on an ad hoc basis. Subsequently, from September 2014 to April 2016, Mr. Kipkoech worked at the Kenya Medical Research Institute, Center for Global Health Research (KEMRICGHR) in Kisumu, Kenya, as a Statistician. Here, he was involved in statistical data analysis, protocol and proposal development, manuscript and abstract writing and review, and design and implementation of comprehensive monitoring and evaluation (M&E) systems for the program. He also provided training and mentorship to junior data staff.

Computing Skills:

Mr. Kennedy Kipkoech possesses a range of computing skills essential for his work. He is proficient in mathematical modeling software such as Estimation and Projection Package (EPP), Spectrum model (AIM, Goals and Resource Needs Model), Imperial College NCD model (C++ & Matlab), Incidence Pattern Model (R implementation), and DREAMS Cost and Impact Model. He is also skilled in various statistical packages including R, SAS, Stata, SPSS, and Geographic Information Systems (Q-GIS). Additionally, Mr. Kipkoech has experience with database management systems like MS Access and SQL Server. He is adept at using MS Office applications, has knowledge in graphic design, and is capable of hardware and software installation and maintenance.

Scholarships Awards:

Mr. Kennedy Kipkoech has received several scholarships and awards in recognition of his academic and professional achievements. These include the INSHU Conference registration scholarship award in Sydney, Australia in 2023, the ICASA Conference registration scholarship award in Durban, South Africa in 2021, and the University of Bristol, UK, and University of Cape Town, SA Cotutelle (dual) PhD award in 2019. He has also been awarded the RSTMH travel grant in 2017, the IAS Conference scholarship award in Durban, South Africa in 2016, and the HVR4P Conference scholarship award in Chicago, USA in 2016. Additionally, Mr. Kipkoech received the RSTMH travel grant in 2016 and 2015, and the 2015 HVTN Conference scholarship award in Cape Town, South Africa.

Prof Dr. Tony Quek | Networking | Best Researcher Award

Prof Dr. Tony Quek | Networking | Best Researcher Award

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

šŸ‘Øā€šŸŽ“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.

šŸ”¬ 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.

šŸ† 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