Xiaoya Zhang | Computer Network | Best Researcher Award

Dr. Xiaoya Zhang | Computer Network | Best Researcher Award

Postdoctoral, Beijing Jiaotong University, China

Xiaoya Zhang is a promising researcher with a strong publication record in IoV and multipath transmission. The research contributions are well-aligned with cutting-edge advancements in future networks, making a significant impact in the field

Publication Profile

Education :

Xiaoya Zhang is currently pursuing a Doctor of Engineering in Communication and Information Systems at Beijing Jiaotong University, where she has been enrolled since September 2018. Her doctoral research primarily focuses on multipath transmission mechanisms in heterogeneous vehicular networks and the optimization of future network architectures.

Research Focus:

Her research interests include Internet of Vehicles (IoV), future network architectures, multipath transmission protocols, and the integration of space-ground networks. She specializes in developing traffic-aware and high-throughput scheduling algorithms for vehicular ad hoc networks (VANETs) and wireless communication systems, with an emphasis on enhancing quality of experience (QoE) and system stability.

Skills:

Her technical skills include network protocol design, multipath transmission algorithms, fog computing, and performance evaluation of wireless networks. She is proficient in programming languages such as Python, C++, and MATLAB, along with simulation tools like NS-3 and OMNeT++.

Awards:

Xiaoya Zhang has received multiple academic awards for her outstanding research contributions, including the Excellent Graduate Student Award from Beijing Jiaotong University and the Best Paper Award at IEEE ICC 2023.

Publication :

  • Ta2ls: A Traffic-Aware Multipath Scheduler for Cost-Effective QoE in Dynamic HetNets, IEEE Transactions on Mobile Computing, 2024.

 

  • PPORM: A PPO-Assisted Packet Reordering Mechanism of Heterogeneous VANETs for Enhancing Goodput and Stability in Fog Computing, Vehicular Communications, 2025.

 

  • A High-Throughput Scheduler Based on Multipath-State Machine in Wireless Networks, IEEE International Conference on Communications (ICC), 2023.

 

  • Study on Characteristics of Metric-Aware Multipath Algorithms in Real Heterogeneous Networks, IEEE Global Communications Conference (Globecom), 2021.

 

  • Space-Ground Integrated Information Network Enabled Internet of Vehicles: Architecture and Key Mechanisms, IEEE Communications Standards Magazine, 2020.

conclusion:

strengthening aspects such as leading projects, international collaboration, and broader academic engagement would further enhance the profile for prestigious research awards. Given the current track record, Xiaoya Zhang is a strong candidate for the Best Researcher Award, particularly in early-career or emerging researcher categories.

Mebougna Drabo | CFD | Research and Development Excellence Award in CAD

Dr Mebougna Drabo | CFD  | Research and Development Excellence Award in CAD

Professor, Alabama A&M University, United States

Dr. Mebougna L. Drabo is a highly qualified researcher and academic leader with extensive experience in engineering research and development. His roles as Professor, Department Chair, and Center Director at Alabama A&M University demonstrate strong research leadership. While he is a strong candidate for the Best Researcher Award, his suitability for the CAD Award depends on whether his research includes substantial CAD-related contributions, which need to be explicitly detailed.

Publication Profile

Education :

Dr. Drabo has an impressive academic background, earning degrees from prestigious institutions in mechanical and aerospace engineering,Doctor of Philosophy in Mechanical Engineering (GPA: 4.0/4.0),The University of Alabama, Tuscaloosa, AL (May 2011),Master of Science in Mechanical Engineering (GPA: 4.0/4.0),The University of Alabama, Tuscaloosa, AL (May 2010),Master of Science in Aerospace Engineering (GPA: 3.74/4.0),University at Buffalo, Buffalo, NY (June 2006),Bachelor of Science in Aerospace Engineering (GPA: 3.5/4.0, Magna Cum Laude),University at Buffalo, Buffalo, NY (February 2005),Associate of Science in Engineering Science (GPA: 3.67/4.0),Fulton Montgomery Community College, Johnstown, NY

Experience:

Dr. Mebougna L. Drabo is a distinguished professor and researcher in mechanical engineering, currently serving as the Chair of the Mechanical & Civil Engineering and Construction Management Department at Alabama A&M University. He has been with the university since 2012, progressively taking on leadership roles.He was appointed as the Professor of Mechanical Engineering in April 2023 and has been leading the department since January 2023. Prior to that, he served as the Interim Chair (August 2022 – January 2023) before taking on the permanent role. In addition, Dr. Drabo is the Director of the Nuclear Engineering and Radiological Science (NERS) Center since August 2022 and was recently appointed as the Alabama EPSCoR Agency Director for DOE in January 2024.Throughout his academic career, he has contributed extensively to mechanical and nuclear engineering research, education, and program development, demonstrating expertise in engineering leadership and innovation.

Skills:

Dr. Drabo possesses a diverse set of technical and leadership skills, including:Engineering Program Leadership & Development,Nuclear Energy Systems & Safety Analysis,Advanced Computational Simulations (CFD, Finite Element Analysis),Mechanical & Aerospace Engineering Research,Engineering Education & Curriculum Development,Multidisciplinary Research & Grant Writing

Awards:

Dr. Drabo’s contributions to engineering education and research have been widely recognized through various awards and honors. His achievements include distinctions in academic excellence, research grants, and leadership accolades in engineering education.

Publication :

        1. Here are some of the publications by Mebougna L. Drabo, along with their co-authors and publication years:

          1. High Efficient Advanced Thermoelectric Devices from Different Multilayer Thin Films

            • Authors: S. Budak, Z. Xiao, B. Johnson, J. Cole, M. Drabo, A. Tramble, C. Casselberry
            • Year: 2016
          2. Modeling of Infiltration Characteristics by Modified Kostiakov Method

            • Authors: M. Hasan, T. Chowdhury, M. Drabo, A. Kassu, C. Glenn
            • Year: 2015
          3. Evaluation of Gross Alpha and Gross Beta Radioactivity in Crude Oil Polluted Soil, Sediment and Water in the Niger Delta Region of Nigeria

            • Authors: E.O. Agbalagba, S.U. Egarievwe, E.A. Odesiri-Eruteyan, M.L. Drabo
            • Year: 2021
          4. Study of Surface Passivation and Contact Deposition Techniques in CdZnTe X-Ray and Gamma-Ray Detectors

            • Authors: D.E. Jones, S.U. Egarievwe, A. Hossain, I.O. Okwechime, M.L. Drabo, J.Q. Hall
            • Year: 2012
          5. Comparative Analysis of Velocity Decomposition Methods for Internal Combustion Engines

            • Authors: S. Ölçmen, M. Ashford, P. Schinestsky, M. Drabo
            • Year: 2012
          6. Analysis of Te and TeO₂ on CdZnTe Nuclear Detectors Treated with Hydrogen Bromide and Ammonium-Based Solutions

            • Authors: M.L. Drabo, S.U. Egarievwe, I.O. Okwechime, D.E. Jones, A. Hossain
            • Year: 2017
          7. Stable Uranium Oxide Under Atmospheric Conditions: An Electroplating Technique for U Film Fabrication at Boron-Doped Diamond Electrodes

            • Authors: A. Peña-Duarte, A.J. Acevedo-González, R.M. Lagle, M. Drabo
            • Year: 2023
          8. Design and Fabrication of a CdMnTe Nuclear Radiation Detection System

            • Authors: S.U. Egarievwe, M.B. Israel, A.D. Banks, M.L. Drabo
            • Year: 2019
            • Source: Google Scholar
              scholar.google.com
          9. Characterization of CdZnTeSe Nuclear Detector Chemically Etched in Bromine Methanol

            • Authors: E.O. Agbalagba, M.L. Drabo, S.U. Egarievwe
            • Year: 2021
          10. Characterization of CdMnTe Planar Nuclear Detectors Grown by Vertical Bridgman Technique

            • Authors: S.U. Egarievwe, U.N. Roy, E.O. Agbalagba, M.L. Drabo
            • Year: 2019

conclusion:

Best Researcher Award: Highly suitable, pending documentation of his publication impact and research contributions.Research & Development Excellence in CAD: Potentially suitable if CAD applications are a significant part of his research portfolio.