Mingyue Cui | Computer Science and Technology | Best Researcher Award

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Mr. Mingyue Cui | Computer Science and Technology | Best Researcher Award

Dr. Mingyue Cui is a pioneering computer scientist whose multidisciplinary work bridges intelligent vehicles, biomedical computing, and real-time embedded systems. He earned his Ph.D. in Computer Science and Engineering from Sun Yat-sen University, with research affiliations at the Technical University of Munich. His scholarly journey reflects deep engagement in applied AI, autonomous driving, edge computing, and sensor data processing. Dr. Cui has authored over 20 high-impact papers in IEEE and AAAI venues and holds several national patents in autonomous systems and LiDAR compression. His innovation has been recognized through prestigious awards, including top honors in robotics and AI design competitions in China. Dr. Cui continues to advance research in scalable, low-cost AI for smart healthcare and mobility, driving collaborations across academia and industry.

Profiles

Google Scholar

Scopus

🎓 Education

Mingyue Cui holds a Ph.D. in Computer Science and Engineering from Sun Yat-sen University (2018–2022), with research conducted in partnership with the Technical University of Munich. His doctoral work, supervised by Prof. Kai Huang, focused on intelligent connected vehicles, emphasizing autonomous driving systems and biomedical signal processing. Prior to this, he completed a Master’s degree in Software Engineering (2015–2017) from the same university, authoring a thesis on real-time scene flow for embedded systems. His Bachelor’s degree in Software Engineering (2010–2014) was obtained from Chongqing Normal University, where he specialized in embedded software engineering. His academic training spans advanced topics like optimization theory, computational complexity, machine learning, and embedded systems.

đŸ§Ș Experience

Dr. Mingyue Cui has built a robust research profile with a focus on real-world applications of AI and embedded systems. His Ph.D. thesis explored intelligent connected vehicles, targeting the challenges of real-time computation and network reliability in autonomous driving. He led pioneering efforts in algorithm parallelization, edge computing for autonomous services, and quality of service assurance using low-cost embedded platforms. His current research has expanded to biomedical domains, particularly ECG signal processing and cardiovascular disease diagnostics. With over 20 academic publications and patents, Cui collaborates extensively with Prof. Kai Huang and research groups at both Sun Yat-sen University and the Technical University of Munich. In addition to his academic output, he actively contributes to competitive research through international robotics and AI competitions, where he has earned multiple first and second-place awards.

🏆 Awards and Honors 

Dr. Mingyue Cui’s research excellence is widely recognized through multiple awards. In 2023, he received a Bronze Award at the China College Students’ ‘Internet+’ Innovation Competition. He also secured the First Prize at the CCF Mobile Robot Challenge with a $10,000 grant, and a Second Prize in the International Running Intelligent Robot Competition. Earlier, he won the First Prize in the same international robotics event in 2019. In 2021, he earned the Second Prize in the World 5G Conference Application Design Competition. These accolades highlight his ability to translate complex theoretical work into high-impact innovations, especially in robotics, autonomous systems, and AI-powered design.

🔍 Research Focus 

Dr. Mingyue Cui’s research integrates real-time embedded systems, AI-driven autonomous vehicles, biomedical signal processing, and point cloud compression. His Ph.D. centered on Intelligent Connected Vehicles (ICV), where he developed methods for optimizing service offloading and computing efficiency while maintaining Quality of Service under network fluctuations. His recent research includes developing hybrid CNN-Transformer models for ECG denoising, distributed AI processors for seizure detection, and octree-based transformers for LiDAR compression. With applications spanning autonomous mobility to wearable health diagnostics, Cui’s work emphasizes scalable, cost-effective, and intelligent system architectures. He is also deeply involved in collaborative SLAM for multi-vehicle networks and cross-modal sensor fusion, pushing the boundaries of edge computing in real-time robotics and healthcare contexts.

📄 Publication Top Notes

1. Dense Depth-Map Estimation Based on Fusion of Event Camera and Sparse LiDAR

Cui et al., IEEE Transactions on Instrumentation and Measurement, 2022
This paper presents a novel method combining sparse LiDAR data with asynchronous event camera signals to estimate dense depth maps efficiently. The fusion approach leverages temporal resolution from event cameras and spatial accuracy from LiDAR to improve performance in dynamic environments.

2. Offloading Autonomous Driving Services via Edge Computing

Cui et al., IEEE Internet of Things Journal, 2020
A seminal work on optimizing the offloading of AI services in autonomous driving. It explores real-time system performance under various load conditions and proposes an adaptive framework to ensure service continuity with minimal latency.

3. OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression

Cui et al., AAAI Conference on Artificial Intelligence, 2023
Proposes OctFormer, an efficient transformer architecture for compressing point cloud data using octree structures. It achieves local detail preservation with high compression ratios, enabling faster data transmission in autonomous systems.

4. OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression

Cui et al., AAAI 2023
This paper introduces OctFormer, a novel transformer-based framework that leverages the octree structure for efficient point cloud compression. It enhances local feature extraction while achieving significant compression gains, facilitating faster 3D data transfer in autonomous systems.

5. ECG Signal Denoising Based on Hybrid CNN-Transformer Network

Cui et al., Journal of Healthcare Engineering, 2023
This study proposes a deep hybrid model combining Convolutional Neural Networks (CNNs) and Transformers to denoise ECG signals. The model effectively suppresses motion artifacts and improves diagnostic signal quality, contributing to wearable and mobile health solutions.

6. Distributed Lightweight AI Processor for Real-Time Epileptic Seizure Detection

Cui et al., Biomedical Signal Processing and Control, 2022
Presents a low-latency, power-efficient edge processor design for seizure detection using EEG signals. The AI model is optimized for resource-constrained devices, enabling early and accurate detection in remote or wearable healthcare settings.

7. Cooperative SLAM for Multi-Vehicle Systems Based on Dynamic Bayesian Optimization

Cui et al., IEEE Access, 2021
This paper addresses collaborative simultaneous localization and mapping (SLAM) for autonomous vehicles. It proposes a Bayesian optimization strategy to dynamically adjust SLAM parameters across a vehicle fleet, enhancing map accuracy and robustness in changing environments.

8. Quality of Service-Oriented Computation Offloading for Autonomous Driving Applications

Cui et al., Sensors, 2020
Focuses on computation offloading strategies that prioritize QoS in vehicle-to-edge communication. It balances task latency and network reliability to ensure real-time performance for self-driving applications, even under fluctuating network conditions.

9. Real-Time Scene Flow Estimation for Stereo Vision Using Embedded GPU Platforms

Cui et al., International Conference on Embedded Systems and Applications, 2019
Develops a lightweight algorithm for estimating scene flow from stereo images, optimized for embedded GPU platforms. The approach supports real-time performance, enabling practical deployment in mobile robots and AR/VR applications.

10. LiDAR-Assisted Pedestrian Detection Based on Multi-Sensor Fusion with Deep Learning

Cui et al., Proceedings of the Chinese Conference on Intelligent Transportation, 2021
Integrates LiDAR data with camera input using a deep fusion network to enhance pedestrian detection accuracy in autonomous vehicles. The fusion technique improves robustness in low-light or occluded conditions.

Conclusion

Dr. M. Cui is a highly accomplished and forward-thinking researcher with:

  • A clear impact in autonomous systems and intelligent robotics,

  • Strong innovation credentials (patents and real-world applications),

  • Recognized technical contributions through competitive awards, and

  • A trajectory that continues to expand into biomedical applications.

He is highly suitable for a Best Researcher Award, especially in fields related to smart mobility, embedded systems, and AI-powered healthcare technologies.

Dr. SERGEY NIKITENKO | Sonochemistry | Chemical Engineering Award

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Dr. SERGEY NIKITENKO | Sonochemistry | Chemical Engineering Award

Director of research, CNRS, France

Sergey I. Nikitenko is a distinguished Director of Research at CNRS and leads the Laboratory of Sonochemistry (LSFC) at the Marcoule Institute for Separation Chemistry (ICSM), France. With a Ph.D. in Chemistry from Moscow State University, he has published over 145 peer-reviewed papers, 4 book chapters, and holds 4 patents. His scientific contributions have focused on sonochemistry, sonoluminescence, nanomaterials, actinide chemistry, and catalysis. Sergey is an editorial board member of leading journals such as Ultrasonics Sonochemistry, Heliyon, Catalysts, and Frontiers of Chemistry. He is also a board member of the European Society of Sonochemistry and has held numerous research positions, securing multiple national and international grants. His work has influenced both academia and industry, particularly in the fields of carbon-free energy and remediation technologies.

Profile

Google Scholar

Orcid

Education

Sergey I. Nikitenko received his Ph.D. in Chemistry from Moscow State University, Russia, where his research laid the foundation for his future groundbreaking work in sonochemistry and materials science. Throughout his academic career, Nikitenko’s research has consistently bridged theoretical chemistry with practical, industrial applications. After completing his Ph.D., he continued his research journey at various institutions before joining the French CNRS in 2005. Nikitenko’s vast experience and passion for scientific advancement have led him to contribute significantly to the development of innovative technologies in the fields of sonochemistry, catalysis, and nanomaterials. He has collaborated extensively with prominent research institutions across Europe and internationally, building a solid reputation as a leading figure in his field. His commitment to advancing scientific knowledge continues to shape the landscape of research in chemistry and materials science today.

Experience

Sergey I. Nikitenko has an extensive career in research and academia, serving as the Director of Research at CNRS and head of the Laboratory of Sonochemistry (LSFC) at ICSM. His expertise spans sonochemistry, actinide chemistry, catalysis, and the development of carbon-free energy technologies. Nikitenko has successfully coordinated and participated in several large-scale research projects, including the ANR-2010-BLAN-0810 NEQSON project, and the PEPR ECOCHEM project, among others. With over 145 peer-reviewed publications and multiple patents, his work focuses on understanding the mechanisms of sonochemical reactions and their applications in various fields, including energy production and environmental remediation. Nikitenko also holds editorial roles in several high-impact journals, helping guide the future of sonochemistry and catalysis research. As a collaborative leader, he has built strong ties with research groups and industry partners, contributing to numerous innovations in his field.

Research Focus

Sergey I. Nikitenko’s research is centered around sonochemistry, sonoluminescence, nanomaterials, and actinide chemistry. He is particularly known for his pioneering work on the mechanisms of sonochemical reactions, employing tools such as sonoluminescence spectroscopy to study cavitation and plasma formation in liquid environments. His research has led to the development of novel methods for the synthesis of functional nanomaterials, including Ti@TiO2 and NiTi@TiO2/Ni nanoparticles, which exhibit strong photothermal activity. Nikitenko’s work in actinide chemistry has also made significant strides, especially with the first-ever synthesis of salt-free nanocolloids of PuO2. His interest in photocatalysis and green hydrogen production further solidifies his position as a leader in sustainable energy research. Additionally, he has been involved in cutting-edge collaborations to advance sonochemical technologies for PFAS remediation and theranostic applications in oncology, positioning his research as both innovative and highly impactful in multiple scientific domains.

Publication Top Notes

  1. Speciation of rare-earth metal complexes in ionic liquids: a multiple-technique approach 🔬
  2. PET/MRI in head and neck cancer: initial experience 🧠
  3. Influence of gamma irradiation on hydrophobic room-temperature ionic liquids [BuMeIm] PF6 and BuMeIm2N 💡
  4. Spectroscopic and Electrochemical Studies of U(IV)−Hexachloro Complexes in Hydrophobic Room-Temperature Ionic Liquids ⚛
  5. Effect of operational conditions on sonoluminescence and kinetics of H2O2 formation during the sonolysis of water 🌊
  6. Photothermal Hydrogen Production Using Noble-Metal-Free Ti@TiO2 Core–Shell Nanoparticles 🌞
  7. Comparative study of sonochemical reactors with different geometry using thermal and chemical probes 🔬
  8. Acoustic cavitation at the water− glass interface 🌐
  9. Effect of ultrasonic frequency on the mechanism of formic acid sonolysis đŸ§Ș
  10. Formation of higher chloride complexes of Np (IV) and Pu (IV) in water-stable room-temperature ionic liquid 💧

 

 

 

Nashwan Ali | Electrochemical Sensors | Engineering Talent Award

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Assist. Prof. Dr. Nashwan Ali | Electrochemical Sensors | Engineering Talent Award

Research Scientist, university of Samarra, Iraq

Dr. Nashwan Hussein Ali is an accomplished researcher and academic in the fields of analytical chemistry, electrochemistry, and petroleum chemistry. Currently, he serves as an invited researcher at the University of Poitiers, France, where he focuses on electrochemical activity mapping using advanced techniques like bipolar electrochemistry. With over a decade of experience in academia and industry, Dr. Ali has been instrumental in teaching various chemistry courses, mentoring students, and conducting cutting-edge research. He holds a Ph.D. in Analytical Chemistry from Tikrit University, Iraq, and has made significant contributions to scientific literature. His expertise spans a broad range of areas, including electrochemical sensors, environmental monitoring, and pharmaceutical analysis. His research is highly impactful, with several published papers in reputed journals. Dr. Ali’s interdisciplinary work and vast experience make him a key figure in advancing chemical sciences.

Profile

Education

Dr. Nashwan Hussein Ali pursued his higher education in Analytical Chemistry at Tikrit University, Iraq. He earned his Bachelor of Science in Chemistry in 2009, followed by a Master of Science in Analytical Chemistry in 2012. His academic journey culminated with a Ph.D. in Analytical Chemistry from Tikrit University in 2015. Throughout his education, Dr. Ali demonstrated an exceptional aptitude for research, focusing on cutting-edge methodologies in electrochemistry, analytical chemistry, and environmental monitoring. His commitment to advancing scientific knowledge led to his involvement in multiple research projects, contributing to the development of new techniques and analytical methods. His academic background laid the foundation for a successful career in both research and teaching, where he has since trained numerous students and developed a robust research portfolio. His educational achievements are a testament to his dedication and passion for chemistry and innovation.

Experience

Dr. Nashwan Hussein Ali’s professional journey has spanned academia and industry. He is currently an invited researcher at the University of Poitiers, France, working under the supervision of Prof. ZIGAH Dodzi on electrochemical activity mapping of Pt-CeO2 gradient films. From December 2016 to April 2022, Dr. Ali served as an Assistant Professor at the University of Samarra, Iraq, where he taught courses in analytical electrochemistry, general chemistry, and green chemistry to undergraduate and master’s students. Earlier in his career, Dr. Ali worked as a lecturer in the Department of Petroleum at Hayat Private University for Science and Technology in Erbil, Iraq, teaching analytical chemistry and green chemistry. Additionally, he has industrial experience as an Analytical Chemist at the Arab Company for Detergent Chemicals, where he performed extensive analyses on petroleum products and environmental samples. Dr. Ali’s broad professional experience highlights his expertise in both teaching and practical research.

Research Focus

Dr. Nashwan Hussein Ali’s research focuses on a wide range of topics within analytical chemistry, electrochemistry, and environmental monitoring. His current work centers around electrochemical sensors, specifically the electrochemical activity mapping of Pt-CeO2 gradient films prepared via bipolar electrochemistry. His research also delves into electrochemical techniques such as cyclic voltammetry, scanning electrochemical microscopy, and electrocatalysis, which are employed to investigate various materials for catalytic and sensing applications. Additionally, Dr. Ali explores analytical chemistry methods like high-performance liquid chromatography (HPLC), gas chromatography (GC/FID), and spectroscopy, contributing to the development of greener and more efficient analytical methods. His research on the environmental impact of petroleum chemicals, including water analysis and the detection of contaminants in industrial discharges, underscores his commitment to sustainability. Dr. Ali’s work bridges the gap between fundamental chemistry and practical, real-world applications in environmental science and health.

Publication Top Notes

  1. Investigations of phytoconstituents, antioxidant and anti-liver cancer activities of Saueda monoica Forssk extracted by microwave-assisted extraction 🍃
  2. Liquid ion exchange methodology for extraction Cr (VI) using azo derivative compound ⚗
  3. Spectrophotometric Determination of Captopril in Pharmaceutical Formulations based on Ion-Pair Reaction with the Red Congo 💊
  4. Determination of Metoclopramide in Pharmaceutical Commercial using Flow Injection Chemiluminescence Technique 💡
  5. Spectrophotometric Determination of Azithromycin using Oxidative Coupling Reaction đŸ§Ș
  6. Spectrophotometric Determination of Carvedilol in Some Pharmaceuticals via an Oxidative Coupling Reaction 💊
  7. Spectrophotometric determination of mesalazine using diazo coupling method 🧬
  8. Synthesis and characterization of some new Indazolone and Carbohydrazide derivatives from azachalcones 🔬
  9. Development and evaluation of a new spectrophotometric method for determination of amlodipine in its pure and pharmaceutical forms using zinc oxide nanoparticles 🧑‍🔬
  10. Determination of Loperamide HCL in Pharmaceutical Preparations using Modified Ion Selective Electrode đŸ§Ș

 

 

Uday Muddapur | Environmental and Biomedical | Outstanding Scientist Award

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Dr. Uday Muddapur | Environmental and Biomedical | Outstanding Scientist Award

Professor,KLE Technological Univeristy,India

Dr. Uday M. Muddapur’s curriculum vitae reflects an accomplished academic and research profile in the field of biotechnology and biochemistry. As a Professor in the Department of Biotechnology at KLE Technological University, Hubballi, he holds a Ph.D. in Biochemistry from the Department for Postgraduate Studies in Biochemistry at Karnatak University, Dharwad. His doctoral research focused on fungal transformation of Δ3-Carene, fungal amylase, and fungal pigments.

Profile:

Academic Qualifications:

  • Ph.D. in Biochemistry, Karnatak University, Dharwad, 2004.
  • M.Sc. in Biochemistry, Karnatak University, Dharwad, 1999.

Research and Fellowship:

  • Dr. Muddapur has guided several doctoral students, focusing on areas such as drug designing for tuberculosis, biosynthesis of nanoparticles, and evaluation of biomarkers for diseases like lymphatic filariasis.
  • He has been awarded multiple research honors, including “Project of the Year” by KSCST and the “Outstanding Scientist Award” at the INSO International Scientist Awards in 2022.

Teaching and Online Education:

  • Dr. Muddapur has taught subjects such as Biochemistry, Microbiology, Enzyme Technology, and Biotechnology. Additionally, he has completed several online courses related to biochemical energy metabolism, drug discovery, immunology, and bioinformatics.

Research Interests:

His research interests lie in areas such as:

  • Drug discovery and development.
  • Nanotechnology applications, including the synthesis and characterization of nanoparticles.
  • Microbial biotechnology and bioremediation.
  • Biomedical applications of bioactive compounds.

Publications:

Dr. Muddapur has authored multiple journal articles in reputable scientific publications. Some of his recent works include studies on the biomedical uses of phytochemicals, antimicrobial properties of nanoparticles, and the bioremediation of plastics by fungi.

Professional Links:

  • ORCID: 0000-0003-3463-1989
  • Scopus ID: 55773089600
  • Google Scholar ID: Zwn4E-kAAAAJ

Previous Positions:

  • Professor at KLE Technological University, Hubballi (since 2016).
  • Professor at KLE Society’s College of Engineering and Technology, Belgaum (2005-2016).
  • Lecturer at Pooja Bhagavat Memorial Mahajana Post Graduate Centre, Mysore (2004-2005).

Dr. Muddapur’s work spans diverse areas of biochemistry and biotechnology, with a significant contribution to research and academia, especially in bioactive compound development and nanomedicine.

Majed Almubarak | Geomechanics | Best Researcher Award

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Mr Majed Almubarak | Geomechanics | Best Researcher Award

PhD Student, Massachusetts Institute of Technology, United States

Majed AlMubarak is a dedicated PhD candidate in Petroleum Engineering at Texas A&M University, where he maintains a perfect GPA of 4.0. With a rich academic background that includes a Master’s degree from MIT and a Bachelor’s degree from Texas A&M, Majed has consistently demonstrated excellence in his studies. He has significant experience in both industry and research, having worked as a reservoir engineer at Saudi Aramco and contributed to various high-impact research projects. Majed is passionate about advancing energy technologies and sustainable practices within the petroleum industry.

Profile

Google Scholar

Strengths for the Award

  1. Academic Excellence:
    • Majed has demonstrated exceptional academic performance throughout his educational journey, achieving a 4.0 GPA in his PhD program and a 4.9 GPA in his Master’s degree at MIT. His summa cum laude distinction during his undergraduate studies further showcases his commitment to excellence.
  2. Diverse Research Experience:
    • His extensive research background spans multiple prestigious institutions, including Texas A&M University and MIT. He has participated in various impactful projects related to petroleum engineering, rock mechanics, and geothermal systems, indicating a breadth of knowledge and adaptability in different research environments.
  3. Innovative Contributions:
    • Majed’s research on CO2 injection challenges, electro-hydraulic fracturing, and the development of novel fracturing fluids demonstrates his capacity for innovation in addressing complex industry challenges. His work on smart underground space exploration also reflects a forward-thinking approach to integrating technology and research.
  4. Publication Record:
    • With multiple published works and citations in prominent journals and conferences, Majed has established himself as a thought leader in his field. His involvement in various projects that contribute to the understanding of fluid dynamics and rock interactions enhances his visibility and credibility as a researcher.
  5. Industry Experience:
    • His practical experience as a reservoir engineer at Saudi Aramco equips him with a strong understanding of real-world applications, enhancing his research’s relevance and applicability to the petroleum industry.

Areas for Improvement

  1. Networking and Collaboration:
    • While Majed has a strong foundation, increasing his engagement in interdisciplinary collaborations could enrich his research perspectives and lead to novel findings. Actively participating in more workshops and conferences can enhance his professional network.
  2. Broader Impact of Research:
    • Focusing on how his research can be translated into broader societal benefits, such as environmental sustainability and energy efficiency, could enhance the impact of his work and appeal to a wider audience.
  3. Leadership Roles:
    • Taking on leadership roles in research projects or student organizations could further develop his management and mentorship skills, positioning him as a leader in the academic community.

Education

Majed AlMubarak is currently pursuing a PhD in Petroleum Engineering at Texas A&M University, expected to graduate in 2026 with a 4.0 GPA. He holds a Master of Science in Civil and Environmental Engineering from MIT, where he achieved an impressive GPA of 4.9. Majed also earned his Bachelor of Science in Petroleum Engineering from Texas A&M University in 2019, graduating summa cum laude with a GPA of 3.91. His educational journey reflects a strong foundation in engineering principles, enhanced by rigorous coursework and research experiences that have shaped his expertise in geomechanics and reservoir engineering.

Experience

Majed AlMubarak has gained valuable industry experience as a Reservoir Engineer at Saudi Aramco’s EXPEC Advanced Research Center. During his tenure from 2019 to 2020, he led projects focusing on CO2 enhanced oil recovery and experimental work addressing CO2 injection challenges. His hands-on approach involved utilizing advanced monitoring techniques and conducting laboratory experiments to improve recovery efficiency. In addition to his industry experience, Majed has served as a Graduate Research Assistant at Texas A&M University and MIT, where he engaged in significant research projects, including acid fracturing geomechanics and electro-hydraulic fracturing for geothermal systems. His diverse experience positions him as a well-rounded professional in the field of petroleum engineering.

Awards and Honors

Majed AlMubarak has received numerous accolades throughout his academic career, underscoring his dedication and excellence in engineering. He was a finalist in the Best Young Professional SPE Endogenous Contest in 2020 and received the Distinguished Student Award from the Dwight Look College of Engineering in 2019. His commitment to research was recognized when he secured first place in the SPE Petroleum Engineering Student Paper Contest in 2018. Furthermore, Majed has consistently achieved academic excellence, earning a place on the President’s List and the Dean’s List from 2015 to 2019. His undergraduate studies were fully sponsored by Saudi Aramco Oil Company, reflecting his potential and the value he brings to the engineering community.

Research Focus

Majed AlMubarak’s research focuses on advancing the understanding of geomechanics and reservoir engineering within the petroleum sector. His current projects at Texas A&M University involve evaluating acid fracturing geomechanics in carbonate rocks and assessing fracture conductivity in the Austin Chalk Formation. He explores innovative solutions for CO2 enhanced oil recovery and examines the efficiency of matrix acid stimulation techniques. His previous work at MIT concentrated on electro-hydraulic fracturing and the effects of various parameters on rock testing, further enriching his expertise. Majed is dedicated to addressing challenges in the energy industry, particularly in improving recovery techniques and promoting sustainable practices through advanced engineering solutions.

Publication Top Notes

  • Investigation of acid-induced emulsion and asphaltene precipitation in low permeability carbonate reservoirs.
  • A collective clay stabilizers review.
  • Insights on potential formation damage mechanisms associated with hydraulic fracturing.
  • Recent advances in waterless fracturing fluids: A review.
  • Chelating agent for uniform filter cake removal in horizontal and multilateral wells: laboratory analysis and formation damage diagnosis.
  • Influence of zirconium crosslinker chemical structure and polymer choice on the performance of crosslinked fracturing fluids.
  • Zirconium crosslinkers: Understanding performance variations in crosslinked fracturing fluids.
  • Enhancing foam stability through a combination of surfactant and nanoparticles.
  • A study on the adsorption behavior of different surfactants in carbonate using different techniques.
  • Turning the most abundant form of trash worldwide into effective corrosion inhibitors for applications in the oil and gas industry.

Conclusion

Majed AlMubarak is a highly qualified candidate for the Best Researcher Award, showcasing exceptional academic achievements, a diverse research portfolio, and significant contributions to the field of petroleum engineering. His strengths in innovation, publication, and industry experience solidify his position as a leading researcher. By focusing on enhancing his networking, broadening the societal impact of his research, and developing leadership skills, Majed can further elevate his profile and influence in the academic and professional communities. His potential for continued excellence makes him a deserving candidate for this prestigious recognition.

Jefte Ceballos Zumaya | Biosensores SPR | Young Scientist Award

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Dr Jefte Ceballos Zumaya | Biosensores SPR | Young Scientist Award

Dr Jefte Ceballos Zumaya , Universidad AutĂłnoma de Zacatecas , Mexico

JeftĂ© Ceballos Zumaya is a dedicated PhD student in Science and Technology of Light and Matter at the Universidad AutĂłnoma de Zacatecas (UAZ), Mexico. Born on January 17, 1992, he has demonstrated a strong commitment to education and research. He holds a Master’s degree in Engineering Sciences (2020) and a Bachelor’s in Communications and Electronics (2018), both from UAZ. JeftĂ© has experience teaching subjects such as statistics, probability, integral calculus, physics, and mathematics at secondary and high school levels. His research interests lie in biosensors, specifically optical biosensors utilizing surface plasmon resonance, photonic crystals, and 2D materials. JeftĂ© has actively participated in national and international conferences and has published his research in high-impact journals, showcasing his contributions to the field of photonics and materials science.

Publication Profile

Orcid

Strengths for the Award

  1. Research Focus and Impact: JeftĂ© has made significant contributions to the field of biosensors, specifically in the development and optimization of SPR optical biosensors. His research on the interaction of graphene’s chemical potential with 2D materials demonstrates both innovation and relevance in addressing critical challenges in biosensor sensitivity and performance.
  2. Publication Record: With a publication in a high-impact journal, Jefté has established credibility in his research area. This highlights his ability to conduct rigorous scientific work that is recognized by the academic community.
  3. Diverse Teaching Experience: His experience in teaching various subjects at different educational levels showcases his communication skills and dedication to education. This versatility enhances his profile as a young scientist committed to knowledge dissemination.
  4. Active Participation in Conferences: JeftĂ©’s involvement in multiple international, national, and state congresses indicates his active engagement with the scientific community and a commitment to sharing his findings.

Areas for Improvement

  1. Broader Collaborations: While Jefté has made substantial individual contributions, seeking collaborations with other researchers or institutions could enhance the scope and impact of his work. Collaborative projects often lead to more diverse perspectives and innovative approaches.
  2. Enhanced Visibility: Increasing his presence in academic networks, such as joining professional societies or engaging in online platforms for researchers, could amplify his work’s visibility and open new opportunities for collaboration and funding.
  3. Broader Research Applications: Exploring the application of his biosensor research in various fields, such as environmental monitoring or medical diagnostics, could broaden the impact and relevance of his findings.

Education 

JeftĂ© Ceballos Zumaya completed his Bachelor’s degree in Communications and Electronics at the Universidad AutĂłnoma de Zacatecas (UAZ) in 2018. His academic journey continued with a Master’s degree in Engineering Sciences from UAZ in 2020, where he honed his skills in applied sciences and engineering principles. Currently, JeftĂ© is pursuing a PhD in Science and Technology of Light and Matter at UAZ, focusing on the development of innovative optical biosensors. His education has provided him with a solid foundation in both theoretical knowledge and practical applications, enabling him to explore complex interdisciplinary topics such as surface plasmon resonance, photonic crystals, and 2D materials. Through his studies, he has cultivated a strong analytical mindset and a passion for advancing research in optics and materials science, preparing him to contribute significantly to the field.

Experience 

Jefté Ceballos Zumaya has amassed valuable teaching experience at both secondary and high school levels, instructing courses in statistics, probability, integral calculus, physics, and mathematics. This experience has not only enriched his pedagogical skills but also deepened his understanding of complex scientific concepts, allowing him to communicate effectively with diverse student populations. In addition to teaching, Jefté has actively engaged in research, focusing on the development of biosensors, particularly optical biosensors that utilize surface plasmon resonance and 2D materials. His participation in various national and international congresses has enabled him to present his findings and collaborate with other researchers in the field. Jefté has also contributed to high-impact journals, underscoring his dedication to advancing scientific knowledge and his capability to work on interdisciplinary projects, bridging the gap between theoretical research and practical applications.

Research Focus 

JeftĂ© Ceballos Zumaya’s research focuses on the development and enhancement of optical biosensors, specifically those utilizing surface plasmon resonance (SPR) and 2D materials. His work aims to improve the performance parameters of these biosensors, enhancing sensitivity, detection accuracy, and overall quality factors. By integrating various metals, such as silver and gold, with advanced 2D materials in the biosensor structures, JeftĂ© explores innovative methods to optimize sensor capabilities. His significant findings have contributed to the understanding of the influence of graphene’s chemical potential on the performance of SPR biosensors. Currently, he is investigating bimetallic structures combined with 2D materials to further enhance biosensor functionalities. Jefté’s interdisciplinary approach combines principles from solid-state physics, material science, and engineering, positioning him at the forefront of research in photonics and biosensor technology.

Publications Top Notes

  1. Performance parameters as a function of graphene’s chemical potential for SPR biosensor based on 2D materials 📄
  2. Influence of Chemical Potential of Graphene in Optical SPR Biosensors with 2D Materials Nanostructures 📊
  3. Sensitivity Enhancement in an Optical Biosensor via Multilayer Graphene Structure 📈
  4. Enhancement of parameters performance of an SPR optical biosensor based on bimetal – 2D materials structures 🔬
  5. Biosensores Ópticos SPR con Materiales 2D 🔍

Conclusion

Jefté Ceballos Zumaya is a promising candidate for the Young Scientist Award. His innovative research on SPR biosensors, combined with a strong publication record and teaching experience, positions him as a rising star in his field. By addressing the areas for improvement, he can enhance his contributions further and continue to make significant advancements in biosensor technology. Recognizing his efforts with this award would not only honor his achievements but also encourage his future research endeavors.

 

 

Dalia El- Gazzar | Vibration and Dynamics | Best Researcher Award

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Dr Dalia El- Gazzar | Vibration and Dynamics | Best Researcher Award

Dr Dalia El- Gazzar, National water research center, Egypt

Dr. Dalia Mohamed Sadek El-Gazzar is an accomplished expert in mechanical and electrical engineering with over 24 years of experience at the Mechanical & Electrical Research Institute (MERI). Specializing in optimizing hydro-electro-mechanical systems, her work has significantly advanced predictive maintenance and dynamic analysis of pumping stations. She holds a Ph.D. in Mechanical Engineering from Menoufia University and has contributed extensively to technical research and education, including teaching advanced courses on vibration analysis and predictive maintenance. Her dedication to improving the performance and reliability of drainage and irrigation systems underscores her commitment to engineering excellence.

Publication Profile

Scopus

Strengths for the Award

  1. Extensive Experience: Dalia Mohamed Sadek El-Gazzar has over 24 years of experience at the Mechanical & Electrical Research Institute (MERI), focusing on optimizing the operation and performance of hydro-electro-mechanical components in drainage and irrigation systems. This long-standing experience is a strong point for the award.
  2. Leadership Roles: She has held significant leadership roles, such as Director Deputy and Head of the Mechanical Department at MERI. Additionally, she has led multiple research projects related to dynamic analysis and quality control in irrigation and drainage systems.
  3. Research Contributions: Dalia has published numerous papers in reputable journals, highlighting her contributions to improving the dynamic performance and reliability of pumping systems. Her work in vibration analysis and preventive maintenance is particularly noteworthy.
  4. Educational Background: With a Ph.D. in Mechanical Engineering focused on vibration analysis of pumping systems, coupled with an M.Sc. and B.Sc. in related fields, her strong academic background supports her candidacy.
  5. Technical Expertise: Dalia has technical expertise in areas such as structural and mechanical vibration, fault detection, dynamic and hydraulic assessment, and preventive maintenance of rotating machinery.
  6. Conferences and Workshops: Her participation in a wide range of international conferences and workshops demonstrates her active involvement in the research community and her commitment to continuous learning and dissemination of knowledge.

Areas for Improvement

  1. Broader Impact: While her work is highly specialized in the field of mechanical and electrical systems for water resources, expanding her research to broader applications or interdisciplinary studies might enhance her impact and visibility within the research community.
  2. International Collaboration: Although she has participated in international conferences, increasing collaboration with international researchers or institutions could strengthen her research portfolio and provide diverse perspectives.
  3. Innovation and Patents: Emphasizing innovation through the development of new technologies or securing patents could further distinguish her work and contribute to practical advancements in her field.

Education

Dr. Dalia Mohamed Sadek El-Gazzar earned her Ph.D. in Mechanical Engineering from Menoufia University in February 2012, with a focus on vibration analysis of pumping systems with variable speed drives. She completed her M.Sc. in April 2004, studying the impact of bearing faults on dynamic behavior and power consumption in water pumps. Her B.Sc., obtained in May 1999, was in Production Engineering and Mechanical Design from the same institution. Her academic background has laid a strong foundation for her expertise in vibration analysis and predictive maintenance.

Experience

Dr. El-Gazzar’s professional journey spans over two decades, with roles including Director Deputy and Head of the Mechanical Department at MERI. She has led critical research projects on dynamic analysis and quality control in irrigation and drainage systems. Her experience includes hands-on inspection, calibration, and dynamic assessment of pumping stations. She has also contributed to numerous technical investigations and reports, enhancing system performance and reliability. Her role as an educator has involved teaching advanced engineering courses and training international engineers.

Research Focus

Dr. El-Gazzar’s research focuses on the dynamic performance and reliability of hydro-electro-mechanical systems in irrigation and drainage. Her work extensively covers vibration analysis, predictive maintenance, and fault diagnosis of pumping stations. She has explored the effects of variable speed drives, bearing faults, and structural vibrations on system efficiency. Her studies aim to optimize system performance, enhance reliability, and contribute to sustainable water resource management. Her research has significantly advanced the understanding and application of dynamic analysis in improving engineering practices.

Publication Top Notes

“Enhancing Efficiency and Dynamic Performance of Bearings in Pumping Stations” 📈

“Dynamic Performance Application of A Variable Speed Centrifugal Pump” 🚀

“Effect of Critical Speed on the Dynamic and Hydraulic Performance of a Variable Speed Pump” 🔧

“Vibration Analysis of Centrifugal Pump with Variable Speed Drives” ⚙

“Evaluating Efficiency and Safety of Aerators in a Sanitary Drainage Station Using Vibration Analysis” 🔍

“Investigate the Effect of Fan Configuration on the Performance of Aeration Units for Waste Water Treatment” 💧

“Effect of Motor Vibration Problem on the Power Quality of Water Pumping Stations” ⚡

Conclusion

Dalia Mohamed Sadek El-Gazzar is a highly qualified candidate for the Best Researcher Award, given her extensive experience, leadership roles, and significant contributions to research in the field of mechanical and electrical systems for water resources. Her work has made valuable improvements in the performance and reliability of irrigation and drainage systems. While there is room for expanding her research’s impact and international collaboration, her current achievements make her a strong contender for the award.

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