Pedro Pitrez | Engineering | Best Researcher Award

Assist. Prof. Dr. Pedro Pitrez | Engineering | Best Researcher Award

Assist. Prof. Dr. Pedro Pitrez  at Assistente Convidado – FEUP , Portugal

Pedro Pitrez is a Mechanical Engineer specializing in thermal energy and internal combustion engine systems. He holds a Master’s degree and is currently completing his Ph.D. at FEUP, focusing on energy systems and mechanical engineering. Pitrez has extensive experience in both academia and industry, with a passion for research, development, and teaching. He has worked as a lecturer at UTAD and FEUP, teaching subjects such as Applied Thermodynamics and Mechanics. His professional journey includes working at INEGI, where he developed a machine for cork painting, and at EDP Geração, managing operations for hydroelectric power plants. Known for his technical expertise, Pitrez combines his engineering knowledge with a drive for innovation, contributing to various research projects, academic articles, and conferences.

Publication Profile

Scopus

🎓 Education

Pedro Pitrez’s educational background includes a Bachelor’s degree in Mechanical Engineering from UTAD, followed by a Master’s degree in Mechanical Engineering from FEUP. His Ph.D. work at FEUP focuses on the areas of energy systems and combustion. Pitrez has excelled in his academic career, achieving strong results with a Master’s thesis on preparing a Porsche 911 internal combustion engine for competition. His academic training also includes specialized research in thermal energy, reflected in his current work and studies. Furthermore, he has contributed significantly to educational platforms, having taught courses such as Applied Thermodynamics II and Mechanics III. His current research at FEUP and INEGI is an embodiment of his continuous pursuit of knowledge and advancement in the field of mechanical and energy engineering.

💼 Experience

Pedro Pitrez has an extensive professional background in both academia and industry. From March 2020 to August 2022, he worked as a researcher at INEGI, where he was involved in the development of industrial machines, including a machine for cork painting. He was responsible for designing the machine’s structure and transport systems, as well as creating the control software. Additionally, Pitrez gained valuable experience in teaching at FEUP, offering courses in thermodynamics and mechanics. He has also worked at Amorim Cork Composites, where he provided academic support, including practical classes and student supervision. His professional career also includes working at EDP Geração, where he currently holds a position as an engineer in charge of planning and operations for hydroelectric power plants. Pitrez’s broad experience and academic contributions make him a well-rounded professional in mechanical engineering and energy systems.

🏆 Awards & Honors

Pedro Pitrez has received numerous accolades for his contributions to research and academia. Notably, he won the Best Paper Award at the International Conference on Technologies and Materials for Renewable Energy, Environment, and Sustainability (TMREES23) in 2023. His research work on plasma gasification and energy systems optimization has earned him recognition in both academic and professional circles. Additionally, Pitrez has presented at several high-profile conferences, such as the VII Jornadas de Engenharia Mecânica UTAD and the International Conference on Renewable Energy and Sustainability (TMREES23). His academic journey has been marked by consistent excellence, having also contributed to published articles in reputable journals such as Energy Reports and ENCIT 2020. These awards and honors reflect his impact and dedication to advancing research in mechanical engineering and sustainable energy solutions.

🔍 Research Focus

Pedro Pitrez’s research primarily focuses on energy systems, combustion processes, and sustainable energy technologies. His current work includes investigating plasma gasification for hazardous waste treatment and optimizing energy conversion processes. He has developed expertise in the numerical analysis of energy systems and the efficient production of syngas. His research is highly interdisciplinary, bridging mechanical engineering with environmental sustainability. Pitrez is particularly focused on applying energy optimization to industrial processes, as evidenced by his work on internal combustion engines and hydroelectric power plants. Additionally, his ongoing Ph.D. research explores the potential of alternative fuels in the transportation and energy sectors. His work contributes to the development of cleaner, more efficient energy systems, with practical applications in industries such as automotive, power generation, and environmental technologies. Pitrez’s dedication to advancing energy solutions aligns with his long-term vision of sustainable and efficient mechanical systems.

Publication Top Notes

  • Energy Recovery from Infectious Hospital Waste and Its Safe Neutralization

    • Authors: P. Pitrez, Pedro; E.L.M. Monteiro, Eliseu L.M.; A.I. Rouboa, Abel Ilah
    • Citations: 0 (as it is a forthcoming publication)
    • Year: 2025
    • Journal: International Journal of Hydrogen Energy
  • Numerical Analysis of Plasma Gasification of Hazardous Waste Using Aspen Plus

    • Authors: Not provided in the reference.
    • Citations: 0
    • Year: 2023
    • Journal: Energy Reports
    • Volume: 9, Pages 418-426
  • Optimization of Plasma Gasification System for Treatment of COVID-19 Hazardous Waste for Valorization of LHV and H2 Composition

    • Authors: Not provided in the reference.
    • Citations: 0
    • Year: In Review (no specific year yet)
    • Journal: Status: In Review

 

Yogesh Thakare | Engineering | Best Researcher Award

Yogesh Thakare | Engineering | Best Researcher Award

Dr Yogesh Thakare, Ramdeobaba University, Nagpur, India

Dr. Yogesh Thakare 🎓 is an accomplished researcher and educator in Electronics and Communication Engineering. He earned his Ph.D. (2020) from SGB Amravati University, specializing in DRAM design using submicron technology 💾. Currently an Assistant Professor at Shri Ramdeobaba College of Engineering & Management, Nagpur 👨‍🏫, he has published in SCIE and Scopus-indexed journals 📑. His research spans FPGA architectures, AI, IoT, and biomedical systems 🤖. A GATE qualifier (94.92%), he has led government-funded projects 💰 and organized AI & IoT workshops 🏗️. Passionate about innovation, he contributes to cutting-edge electronics and computing technologies ⚡.

Publication Profile

Google Scholar

Academic Excellence

Dr. Yogesh Thakare earned his Ph.D. in Electronics Engineering from SGB Amravati University in 2020, focusing on Dynamic Random Access Memory (DRAM) design using submicron technology ⚡🔬. His academic journey reflects excellence, having completed his M.Tech with Distinction (85.10%) 🎓🏆 and his B.E. with First-Class (72.62%) 📚✨. With a strong foundation in electronics and a passion for advanced semiconductor technologies, Dr. Thakare has made significant contributions to memory design and innovation. His expertise in microelectronics and circuit design continues to drive advancements in the field, shaping the future of high-performance computing and digital storage solutions 💡🔍.

Funded Research & Grants

Dr. Yogesh Thakare has demonstrated exceptional research leadership by securing ₹24.6 Lakhs from CSIR for developing an automated water distribution system 💧🔬. His innovative approach aims to enhance water management efficiency through automation, contributing to sustainable resource utilization 🌱💡. This significant funding underscores his expertise in engineering solutions that address real-world challenges 🏗️⚙️. With a strong commitment to technological advancement, Dr. Thakare continues to drive impactful research that promotes water conservation and smart distribution systems 🌍📊. His work not only fosters scientific progress but also supports community welfare by ensuring efficient and equitable water access 🚰✅.

Experience

Dr. Yogesh Thakare is an experienced educator with over 14 years of teaching in top engineering institutes 🏫, including Shri Ramdeobaba College of Engineering and Management, Nagpur. As an Assistant Professor, he has played a key role in shaping technical education 📚. His passion for emerging technologies has led him to organize numerous workshops on Artificial Intelligence 🤖, the Internet of Things 🌐, and Machine Learning 📊, empowering students with cutting-edge knowledge. Through his dedication to academic excellence and innovation, Dr. Thakare continues to inspire the next generation of engineers and researchers 🚀.

Research Focus

Dr. Yogesh Thakare’s research spans electronics, artificial intelligence, IoT, and machine learning 🤖📡. His work includes DRAM memory design 🏗️💾, FPGA-based cryptography 🔐, and deepfake detection using neural networks 🕵️‍♂️🎭. He has contributed to environmental intelligence systems 🌱📊, weather prediction for agriculture 🌦️🚜, and smart monitoring technologies 📡🏠. Additionally, he has explored cortisol detection for stress monitoring 🧪⚕️ and crime reporting frameworks 🚔📜. His interdisciplinary research integrates hardware and AI-driven solutions, making impactful advancements in computing, security, and human well-being 🔬💡. His innovative approach bridges technology and real-world applications, enhancing automation, safety, and intelligence. 🚀

Publication Top Notes

Intelligent Life Saver System for People Living in Earthquake Zone.

An Effect of Process Variation on 3T-1D DRAM

Analysis of power dissipation in design of capacitorless embedded DRAM

IoT-Enabled Environmental Intelligence: A Smart Monitoring System

Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory.

A Read-out Scheme of 1T-1D DRAM Design with Transistor Assisted Decoupled Sensing Amplifier in 7 nm Technology

Enhancing weather prediction and forecasting for agricultural applications using machine learning

FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices

Crafting visual art from text: A generative approach

Cortisol Detection Methods for Stress Monitoring: Current Insight and Future Prospect: A Review

An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in Advanced Driving Assistance Systems

Development and design approach of an sEMG-based Eye movement control system for paralyzed individuals

 

Hakim Azizi | Engineering | Best Researcher Award

Dr.Hakim Azizi | Engineering | Best Researcher Award

Ziane Achour Djelfa university,  Algeria

Azizi Hakim is an experienced academic and researcher currently serving as a Maitre de Conférences Classe A at Ziane Achour University of Djelfa, Algeria. Born on August 8, 1985, in Taher, Algeria, he has devoted his career to teaching and research in the field of electrotechnics. His work primarily focuses on the impact of electromagnetic disturbances on high-power equipment and the development of intelligent diagnostic systems for industrial applications.

Profile

Scopus

Education 🎓

PhD in Electrotechnics from the University of Science and Technology Houari Boumediene, Algiers (2020). His doctoral thesis focused on the influence of external electromagnetic disturbances on high-field equipment. Magister in Electrical Engineering from the Ecole Militaire Polytechnique, Algiers (2011). His thesis explored the design of a measurement cell for evaluating radiated electromagnetic disturbances. Engineering Degree in Electrotechnics from Jijel University (2009), where he specialized in electrical networks and graduated with honors.

Experience 💼

Teaching practical and theoretical courses in electrotechnics, electromagnetic wave propagation, and algorithmic systems at institutions such as the Military Polytechnic School of Algiers and the University of Médéa. He has held academic positions at Ziane Achour University since 2013 and has conducted scientific research stays at the prestigious Ecole Centrale de Lyon in France (2016-2017, 2018-2019).

Research Interests 🔍

Electromagnetic systems, with a particular focus on how disturbances affect industrial equipment. Electrical power networks and the design of diagnostic tools for fault detection in high-power installations. Machine learning applied to industrial diagnostic systems, with a strong focus on intelligent monitoring and control systems.

Awards 🏆

A highly honorable mention for his doctoral thesis on electromagnetic disturbances. Acknowledgments for his contributions to the advancement of electrotechnic diagnostics and innovative approaches to electrical systems engineering.

Publications Top Notes📚

  1. Arc plasma energy evolvement in 60 kV network circuit breakers | Ocena energii łuku plazmowego w wyłącznikach sieciowych 60 kV
    • Authors: Belkhir, S., Ziani, A., Azizi, H., Moulai, H.
    • Year: 2022

 

  1. Sequential adaptive sampling based on cubic spline interpolation to accelerate the near field scanning
    • Authors: Kihal, M.C., Moulai, H., Azizi, H., Smartt, C., Thomas, D.W.P.
    • Year: 2022

 

  1. Analytical and numerical models compared with measurements for analysis of electromagnetic radiation through apertures of a metallic enclosure
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. A model assisted probability of detection approach for ECNDT of hidden defect in aircraft structures
    • Authors: Chebout, M., Azizi, H., Mekideche, M.R.
    • Year: 2020

 

  1. Electromagnetic shielding performance of a metallic enclosure with apertures
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. Electromagnetic interference from shielding effectiveness of a rectangular enclosure with apertures – Circuital approach, FDTD and FIT modelling
    • Authors: Azizi, H., Tahar Belkacem, F., Moussaoui, D., Bendaoud, A., Bensetti, M.
    • Year: 2014