Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

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Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

Prof. Gresky Gutiérrez Sánchez, Pnud/Senacyt, Panama.

Gresky Gutiérrez Sánchez is an accomplished statistician with extensive expertise in multivariate analysis, data modeling, and applied research 📊. He specializes in R and Python programming for advanced statistical solutions and has contributed significantly to bibliometric studies and innovation impact assessments. Currently pursuing a Ph.D. in Multivariate Statistics at the University of Salamanca 🎓, his research explores the application of Bootstrap techniques in sparse solutions. With a background in academia and governmental organizations, he has played a key role in national research projects in Panama 🇵🇦. His passion lies in transforming data into actionable insights for science and policy 📈.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Gresky Gutiérrez Sánchez

Gresky Gutiérrez Sánchez is a distinguished statistician with extensive expertise in multivariate analysis, bibliometric research, and innovation impact assessment. His work spans both academic research and governmental applications, making significant contributions to data-driven decision-making in policy and scientific development. His research on Bootstrap techniques for sparse statistical solutions is advancing high-dimensional data modeling, while his machine learning and Big Data expertise enhances predictive analytics across multiple disciplines. Given his scientific contributions, international collaborations, and research excellence, he is a strong candidate for the Best Researcher Award.

🎓 Education & Experience

  • Ph.D. (In Progress, 2025) – Multivariate Statistics, University of Salamanca, Spain 🇪🇸

    • Thesis: “Bootstrap como Nuevo Enfoque para Estabilizar Soluciones Sparse”

  • M.Sc. (2021) – Advanced Multivariate Data Analysis & Big Data, University of Salaman

  • ca 🎓

  • B.Sc. (2017) – Statistical Engineering, University of Panama 🇵🇦

💼 Work Experience:

  • Statistical Expert, SENACYT (Current) 🏛️

    • Leading data-driven research on innovation and scientific development.

  • Data Analyst & Researcher, University of Salamanca (2020-2023) 🧪

    • Conducted bibliometric studies and statistical modeling for research projects.

  • Visiting Professor, University of Milagro, Ecuador (2022-2023) 🎓

    • Taught courses in multivariate analysis and applied statistics.

  • Statistical Consultant, Auditsa Panamá (2018-2019) 📊

    • Developed analytical tools for financial audits and operational reviews.

🚀 Professional Development

Gresky Gutiérrez Sánchez is a dedicated statistician and researcher passionate about leveraging data science for innovation and policy-making 🔍📈. His expertise in multivariate analysis, machine learning, and bibliometrics has enabled him to contribute to impactful research in academia and government sectors. He has designed statistical strategies for national innovation projects, collaborated on international studies, and trained professionals in statistical modeling and data analysis 🎓. As a speaker and educator, he actively shares knowledge on emerging trends in statistics and Big Data. His work bridges the gap between theory and real-world applications, fostering data-driven decision-making across disciplines.

🔬 Research Focus 

Gresky’s research centers on multivariate statistics, computational methods, and bibliometric analysis 📊. His Ph.D. work explores Bootstrap methodologies to enhance sparse statistical models, optimizing predictive accuracy for high-dimensional datasets. He is also deeply involved in scientometric studies, assessing scientific collaboration and innovation trends globally 🌍. Additionally, his expertise in machine learning and Big Data analytics allows him to develop predictive models for economic and scientific impact assessments 📉. His work integrates statistical theory with real-world applications, particularly in policy research, helping governments and institutions make data-driven decisions to foster sustainable development and research growth.

🏆 Awards & Honors

  • Research Fellowship, University of Salamanca (2021-2023) 🎓

  • Best Statistical Paper Presentation, VI National Congress of Statistics, Panama (2024) 📜

  • Government Recognition for Contributions to Innovation Research, SENACYT (2023) 🏅

  • Scientific Collaboration Award, Bibliometric Analysis in the Andean Region (2022) 🌎

  • Merit Scholarship for Master’s Studies, University of Salamanca (2019-2021) 🎖️

Publication Top Notes:

Scientific Collaboration and Sustainable Development: A Bibliometric Analysis of the Andean Region, Panama, and Spain

Prof. Dr. Mihai OPROESCU | Electronics | Best Researcher Award

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Prof. Dr. Mihai OPROESCU | Electronics | Best Researcher Award

Prof. Dr. Mihai OPROESCU, National University of Science and Technology POLITEHNICA Bucharest, Romania

Mihai Oproescu is an esteemed Associate Professor at the National University of Science and Technology Politehnica Bucharest, Pitesti University Center. With a Ph.D. in Electronics and Telecommunications 🎓, he specializes in electronics, telecommunications, power devices, and bioinformatics ⚡📡. His career spans academia and industry, including leadership roles such as Dean and General Administrative Director 🏛️. Passionate about research, he has contributed to multiple Horizon 2020 and national grants 🔬. Mihai also manages international conferences and scientific symposia 🌍. His expertise extends to renewable energy, smart grids, and nanostructured materials 🔋.

Professional Profile:

Scopus

Orcid

Suitability for Best Researcher Award

Dr. Mihai Oproescu is an outstanding researcher and academic leader, making him a strong candidate for the Best Researcher Award. His expertise in electronics, telecommunications, renewable energy, and nanostructured materials has led to groundbreaking research and technological advancements. His leadership roles, contributions to Horizon 2020 projects, and interdisciplinary research solidify his impact on the scientific community.

Education & Experience 🎓🔬

📌 Education:

  • Ph.D. in Electronics and Telecommunications 🎓
  • Master’s in Electrical and Electronic Engineering 🎓
  • Bachelor’s in Electronics and Telecommunications 🎓

📌 Academic Positions:

  • Associate Professor (2022–Present) – Politehnica Bucharest, Pitesti Center 👨‍🏫
  • General Administrative Director (2022–Present) – Politehnica Bucharest, Pitesti Center 🏛️
  • Dean, Faculty of Electronics, Communications, and Computers (2017–2020) – University of Pitești 🎓
  • Vice-Dean (2016–2017) – University of Pitești 🎓
  • Head of Works (2012–2016) – University of Pitești 🎓

📌 Industry & Management Roles:

  • Manager, S.C. ECAI Conference S.R.L. (2014–Present) 📊
  • Manager, S.C. Expert Info Teach S.R.L. (2005–Present) 💼
  • Technical Consultant, Engineering and Industrial Realization, France (2003) 🏭

Professional Development 🚀

Mihai Oproescu has been at the forefront of academic innovation and technological advancements 📡. His leadership as Dean and General Administrative Director has significantly shaped university policies and research directions 🏛️. His passion for renewable energy, smart grids, and nanomaterials has led to groundbreaking research in nanostructured magnesium oxide and solar cell efficiency 🌱🔬. Beyond academia, he actively organizes international conferences and collaborates on European projects 🌍. As a mentor and researcher, Mihai is dedicated to bridging the gap between academia and industry, ensuring technological evolution and societal impact 🔄💡.

Research Focus 🔍

Mihai Oproescu’s research spans multiple high-impact fields, focusing on electronics, telecommunications, and nanostructured materials ⚙️. His Horizon 2020 projects delve into smart grid efficiency, renewable energy integration, and bioinformatics applications ⚡🌱. He has also worked on advanced power electronics, medical electronics, and static converters 🏥. His studies on vibration monitoring for infrastructure protection and nanostructured oxide layers for solar energy contribute to sustainable and resilient technologies 🌞🏗️. Mihai’s expertise in fuel cell power flows, electromagnetic shielding, and hybrid propulsion systems makes him a key figure in next-generation electronic innovations ⚡🚀.

Awards & Honors 🏆

🏅 Director, Horizon 2020 Project (2022–2023) – Nanostructured Magnesium Oxide Powders
🏅 Technical Manager, Horizon 2020 Project (2021–2022) – Solar Cell Efficiency Enhancement
🏅 ERA-Net Smart Grids Plus Member (2018–2021) – Smart Grid Revenue Assurance
🏅 Director, UEFISCDI Grant (2016–2018) – Critical Infrastructure Protection
🏅 Key Contributor, CNCSIS Grant (2007) – Fuel Cell Power Flow Optimization
🏅 Researcher, CEEX-AMTRANS Project (2006–2008) – Hybrid Transport Propulsion Systems
🏅 Member, MATNANTECH Project (2006–2008) – Electromagnetic Shielding Solutions
🏅 Contributor, AMTRANS Project (2006–2008) – Renewable Energy Conversion

Publication Top Notes:

  • 🚗 “Energy management of electric vehicle using a new strategy based on slap swarm optimization and differential flatness control” – (2024) 📖 2 citations
  • 🌪️ “Self-filtering based on the fault ride-through technique using a robust model predictive control for wind turbine rotor current” – (2024) 📖 8 citations
  • ⚡ “Application of fractional-order synergetic-proportional integral controller based on PSO algorithm to improve the output power of the wind turbine power system” – (2024) 📖 15 citations
  • 🔬 “Tailoring the Synthesis Method of Metal Oxide Nanoparticles for Desired Properties” – (2024) 📖 2 citations
  • 🔋 “Influence of Supplementary Oxide Layer on Solar Cell Performance” – (2024) 📖 2 citations

 

Dr. Amjad Iqbal | Transmission Awards | Best Researcher Award

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Dr. Amjad Iqbal | Transmission Awards | Best Researcher Award

Dr. Amjad Iqbal,Carleton University,Canada

Dr. Amjad Iqbal is a distinguished researcher in wireless communication and machine learning, currently serving as a Postdoctoral Research Fellow at Carleton University, Canada. His work focuses on deep reinforcement learning-based resource allocation optimization for 5G and beyond networks, under the mentorship of Prof. Gabriel Wainer and Dr. Ala’a Al-Habashna. Dr. Iqbal holds a Ph.D. in Engineering from Universiti Tunku Abdul Rahman, Malaysia, where he developed advanced techniques in deep reinforcement learning for cloud radio access networks. His previous roles include lecturer positions in Pakistan and a graduate research assistant role in Malaysia. With numerous publications in high-impact journals and conferences, Dr. Iqbal’s expertise spans deep learning, reconfigurable intelligent surfaces, unmanned aerial vehicles, and non-terrestrial networks. He is also an active member of IEEE and the Pakistan Engineering Council

Professional Profile:

Google Scholar

Suitability for Best Researcher Award: Dr. Amjad Iqbal

Summary of Suitability:

Dr. Amjad Iqbal is highly suitable for the Best Researcher Award due to his exceptional contributions to wireless communication and resource optimization, particularly in the context of 5G and beyond. His research not only addresses current challenges but also lays the groundwork for future innovations in communication technologies. His track record of high-impact publications, combined with his professional experience and recognitions, makes him a strong candidate for this prestigious award.

🎓Education:

Dr. Amjad Iqbal earned his Ph.D. in Engineering from Universiti Tunku Abdul Rahman (UTAR), Malaysia, where he completed his thesis on the development of deep reinforcement learning-based resource allocation techniques in cloud radio access networks under the guidance of Prof. Mau-Luen Tham and Prof. Chang Yoong Choon. Prior to this, he obtained his Master of Science in Electrical Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan. His master’s thesis focused on the performance analysis of Universal Filtered Multi-Carrier (UFMC) in 5G cognitive radio-based sensor networks (CSNs), supervised by Prof. Syed Waqar Shah. Dr. Iqbal’s academic journey began with a Bachelor of Science in Electrical Engineering from CECOS University of Information Technology and Emerging Sciences, Peshawar, Pakistan, where he developed an auto rail gate cross system using infrared sensors for his undergraduate thesis, under the supervision of Prof. Ibrar Ullah.

🏢Work Experience:

Dr. Amjad Iqbal is currently serving as a Postdoctoral Research Fellow at Carleton University, Canada, where he specializes in deep reinforcement learning-based resource allocation optimization for 5G and beyond networks. His work at Carleton University is conducted under the mentorship of Prof. Gabriel Wainer and Dr. Ala’a Al-Habashna. Prior to this, Dr. Iqbal was a Graduate Research Assistant at Universiti Tunku Abdul Rahman (UTAR), Malaysia, from February 2019 to July 2022, where he focused on applying deep reinforcement learning to resource allocation in 5G communications. His academic career also includes lecturer positions at Peshawar College of Engineering (PCE) affiliated with UET Peshawar, Pakistan, where he taught courses such as Data Communication, Communication Systems, and Electronic Devices and Circuits during 2017. Subsequently, he served as a Lecturer at the Government Technical College, Kohat, Pakistan, from January 2018 to January 2019, where he instructed courses on Data Communication, Electric Circuits I (DC), Electric Circuits II (AC), and Power Electronics, and conducted lab sessions for Power Electronics and Electric Circuits I.

🏅Awards & Achievements:

Dr. Amjad Iqbal has been recognized for his academic excellence and research potential through several prestigious awards and scholarships. In 2015, he was honored with the PM Laptop Scheme Award, which acknowledged his outstanding academic achievements. His pursuit of advanced studies was further supported by a fully funded Ph.D. scholarship from 2019 to 2022, enabling him to develop cutting-edge techniques in deep reinforcement learning for cloud radio access networks. Currently, Dr. Iqbal is the recipient of a 2-year Postdoctoral Fellowship (2022-2024) at Carleton University, Canada, where he continues his research in optimizing resource allocation for 5G and beyond networks.

Publication Top Notes:

  • “Double Deep Q-Network-Based Energy-Efficient Resource Allocation in Cloud Radio Access Network”
    • Citations: 64
  • “Empowering Non-Terrestrial Networks with Artificial Intelligence: A Survey”
    • Citations: 24
  • “Double Deep Q-Network for Power Allocation in Cloud Radio Access Network”
    • Citations: 21
  • “Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface”
    • Citations: 17
  • “Deep Reinforcement Learning for Resource Allocation in 5G Communications”
    • Citations: 15