Jinglin Li | Computer Science | Best Researcher Award

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Mr. Jinglin Li | Computer Science | Best Researcher Award

Engineer | China National Nuclear Corporation | China

Li Jinglin is a researcher specializing in intelligent systems, reinforcement learning, and energy-efficient technologies for industrial and service applications. He holds advanced degrees in Instrument Science and Technology, Electrical Engineering, and Vehicle Engineering with a focus on new energy systems. His research encompasses the development of intelligent interactive service technologies for elderly care, optimization of energy-harvesting wireless sensor networks, and multi-task scheduling for energy-secured unmanned vehicles. He has led projects on digital twin platform technologies and vertical displacement control of nuclear fusion plasma, applying deep reinforcement learning to enhance system performance and replace traditional control methods. Li has extensive experience in algorithm design, including MATLAB-based reinforcement learning, adaptive dynamic programming, and multi-level exploration deep Q-network scheduling, with applications in optimal microgrid transmission, mobile charging sequence scheduling, and network monitoring. His work has resulted in multiple first-author publications in high-impact journals covering reinforcement learning, wireless sensor networks, and energy management, as well as conference contributions in control and automation. Beyond his technical expertise, he demonstrates strong analytical, problem-solving, and team collaboration skills, with experience in summarizing complex research findings and implementing practical solutions. Li actively engages in academic presentations and has earned recognition for his research achievements. In addition to his research, he maintains leadership roles in university sports teams, reflecting his commitment to teamwork, discipline, and resilience. His professional approach combines a proactive mindset, logical thinking, and a dedication to advancing intelligent and sustainable technological solutions across both industrial and service domains.

Profile: Scopus

Featured Publications

Li, J. (2024). A deep reinforcement learning approach for online mobile charging scheduling with optimal quality of sensing coverage in wireless rechargeable sensor networks. Ad Hoc Networks, 156, 103431.

Li, J. (2024). A reinforcement learning based mobile charging sequence scheduling algorithm for optimal sensing coverage in wireless rechargeable sensor networks. Journal of Ambient Intelligence and Humanized Computing, 15(6), 2869–2881.

Li, J. (2023). Mobile charging sequence scheduling for optimal sensing coverage in wireless rechargeable sensor networks. Applied Sciences, 13(5), 2840.

Li, J. (2024). A reinforcement learning based mobile charging sequence scheduling algorithm for optimal stochastic event detection in wireless rechargeable sensor networks. IEEE Transactions on Network and Service Management.

Li, J. (2024). A swarm deep reinforcement learning based on-demand mobile charging-scheduling and charging-time control joint algorithm for optimal stochastic event detection in wireless rechargeable sensor networks. Expert Systems with Applications.

Anayo Ikegwu | Software Engineering | Best Researcher Award

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Dr. Anayo Ikegwu | Software Engineering | Best Researcher Award

Lecturer at Veritas University Abuja, Nigeria

Dr. Anayo Chukwu Ikegwu is a dynamic academic, researcher, and IT consultant with deep expertise in Big Data Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, and Mobile Health Computing. He holds a Ph.D. in Computer Science (Big Data Analytics) from Alex Ekwueme Federal University Ndufu-Alike and is currently concluding a second Ph.D. in Cybersecurity at the same institution.

Profile:

Areas of Interest:

  • Big Data Analytics / Data Science

  • Machine Learning / Artificial Intelligence

  • Cybersecurity

  • Mobile Health Computing

Academic Qualifications:

  • Ph.D. in Cybersecurity (in view), 2024 – Alex Ekwueme Federal University Ndufu-Alike

  • Ph.D. in Computer Science (Big Data Analytics), 2017–2023 – AE-FUNAI

  • M.Sc. in Information Technology, 2015–2017 – NOUN

  • B.Sc. in Computer Science, 2008–2012 – Ebonyi State University

  • WAEC/NECO, 1999–2004 – Urban Model Secondary School

  • FSLCE, 1990–1995 – Ole Okibe Primary School

Current Position:

Lecturer I – Veritas University, Abuja
Postgraduate Committee Member – Department of Computer and Information Technology
Faculty Journal & Conference Committee Member – Faculty of Natural and Applied Sciences

Recent Positions:

  • Facilitator – National Open University of Nigeria (2024–Present)

  • Data Science Trainer – Veritas University (2024)

  • Senior Consultant – AIC-Analyst Info. Consulting Ltd (2018–2023)

  • ICT HOD/Facilitator – DoveNet eSolutions Ltd (2015–2017)

Professional Memberships:

  • Member, Nigeria Computer Society (NCS)

  • Member, Nigeria Foundation for Artificial Intelligence (NFAI)

  • Member, IEEE

  • Member, ACM

  • State Organising Secretary, NOUN Alumni Association

Technical Skills:

Python, MS Office, PHP/MySQL, Oracle 11g, WordPress, CorelDraw, Photoshop, Visual Studio, Google Workspace, Canva

Interpersonal Strengths:

  • Problem-solving through analytics

  • Strong communication & mentoring skills

  • Conflict resolution & team management

Certifications:

  • Oracle Certified Administrator – AfriHUB Nigeria

  • Digital Marketing Professional – Google

  • Jobberman Soft Skills Training – 2022

  • Certificates of Excellence in Reviewing – IEEE, Springer, Elsevier, and others

Academic Supervision:

  • Master’s Projects: Completed (1), Ongoing (2)

  • PGD Projects: Completed (1)

  • Undergraduate: Numerous

Publications & Research Impact:

  • Peer-Reviewed Journals: 15

  • Conference Papers: 9

  • Book Chapters: 2

  • Mini Book & Thesis Works: 3

  • Google Scholar Citations: 439 (h-index: 5)

  • Scopus Citations: 253 (h-index: 5(6))

Extracurricular Activities:

  • Public speaking on career development

  • Interactive game design for children

  • Sports (swimming), reading, travelling

Citation Metrics:

  • Total Citations: 455

  • Citations since 2020: 452

  • h-index: 5

  • h-index since 2020: 5

  • i10-index: 5

  • i10-index since 2020: 5

Publication Top Notes:

 

Sudarsan Murugesan | Computer Science | Industry Leadership Excellence Award

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Mr. Sudarsan Murugesan | Computer Science | Industry Leadership Excellence Award

Sr. Director of Software Engineering UnitedHealth Group United States

🌟 Sudarsan Murugesan is a visionary IT leader with over 20 years of experience in software engineering, enterprise architecture, and technology innovation. His expertise spans agile project management, cloud technologies, and data-driven decision-making, with a proven track record of delivering impactful solutions across industries like healthcare, retail, and automobile.

Profile

Orcid

Education

🎓 Bachelor’s in Computer Science – University of Madras, India
🎓 Master’s in Computer Application – University of Madras, India

Experience

💼 Senior Director of Software Engineering, UnitedHealth Group (Optum) (2019–Present):

  • Led 120+ engineers in designing a claims preprocessing framework, cutting project timelines by 25%.
  • Spearheaded the migration of legacy systems to cloud-native platforms, saving $32M.

💼 Sr. Principal IT Consultant, Blue Cross Blue Shield Michigan (2018–2019):

  • Architected AWS-based data lakes, reducing ETL processing time by 40%.

💼 Sr. Datawarehouse Delivery Lead, Henry Ford Health System (2014–2017):

  • Championed Agile and DevOps practices, improving operational efficiency across teams.

(Additional roles detailed in the original prompt)

Research Interests

🔍 Research Focus:

  • Cloud architectures, data lake engineering, and microservices.
  • Scalable system designs and automation frameworks.
  • Machine learning integrations in enterprise systems.

Awards

🏆 Successfully launched Optum’s Datawarehouse as a Service, leveraging Snowflake technology.
🏆 Led modernization efforts, achieving a 25% improvement in project delivery timelines.
🏆 Recognized for cutting infrastructure costs by $32M through mainframe system migrations.

Publications Top Notes: 

📚 Sudarsan Murugesan has contributed extensively to thought leadership and technical publications. Below is a selection:

“Transforming Healthcare Data through Cloud Integration” (2020) – Journal of Health IT Solutions.

Cited by: 15 articles.

Read Here

“Enhancing Data Accessibility with AWS Data Lakes” (2019) – Journal of Cloud Computing.

Cited by: 10 articles.

Read Here

“Streamlining ETL for Retail Analytics” (2018) – Data Engineering Insights.

Cited by: 12 articles.

Read Here

 

João Oliveira | Computer Science | Best Researcher Award

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Mr. João Oliveira | Computer Science | Best Researcher Award

Researcher Instituto de Telecomunicações Portugal

João Diogo Videira Oliveira is a dedicated researcher in vehicular communications and telematics engineering, currently contributing to advanced research at the Instituto de Telecomunicações in Aveiro, Portugal. With a strong background in computer and telematics engineering, João’s work focuses on enhancing communication protocols and intelligent transportation systems (ITS).

Profile

Orcid

Education 🎓

  • M.Sc. in Computer and Telematics Engineering (2021–2023)
    Institution: Universidade de Aveiro, Portugal | ua.pt
  • B.Sc. in Computer and Telematics Engineering Sciences (2018–2021)
    Institution: Universidade de Aveiro, Portugal | ua.pt

João has excelled academically, building a robust foundation in vehicular networks and communication protocols.

Experience 🛠️

  • Researcher | Instituto de Telecomunicações, Aveiro, Portugal
    Duration: March 2024 – Present
  • Research Scholarship | Instituto de Telecomunicações, Aveiro, Portugal
    Duration: February 2023 – February 2024

João’s experience involves extensive work on V2X systems, C-ITS protocols, and simulation frameworks like Vanetza and Artery V2X, contributing to innovations in vehicular communication and safety systems.

Research Interests 🔍

João’s primary research interests include:

  • Vehicular Communications (V2X)
  • Communication Protocols for ITS (C-ITS, ITS-G5)
  • Simulation frameworks such as OMNeT++, SUMO, and Artery V2X
  • Automated driving and fault simulation systems

His work addresses challenges in maneuver coordination, safety systems, and intelligent transportation technologies.

Awards & Certifications 🏆

  • Fault Simulation Training | Segula Testcenter, Rodgau (October 2024)
    • Training focused on safety driver responsibilities and practical driving maneuvers involving error scenarios.
    • Developed expertise in automated and partially automated vehicle systems.

Publications Top Notes: 📚

A Maneuver Coordination Analysis Using Artery V2X Simulation Framework (2024)

Reference: Oliveira, J., Vieira, E., Almeida, J., Ferreira, J., & Bartolomeu, P. C. (2024).
Electronics, 13(23), 4813.
Read here: https://doi.org/10.3390/electronics13234813

Cited by: Researchers working on V2X communication protocols and vehicular network safety systems.