Ikhkef JEBBOR | Industrial engineering | Best Innovation Award

Mr. Ikhkef JEBBOR | Industrial engineering | Best Innovation Award

Mr. Ikhkef JEBBOR , Ibn Tofail University, Morocco

Mr. Ikhkef Jebbor is a dedicated academic at Ibn Tofail University in Morocco, where he specializes in supply chain managementĀ  With a strong commitment to education and research, he actively engages with students and collaborates on innovative projects. His work is characterized by a passion and contributing to the advancement of knowledge in his field and inspiring the next generation of scholars.

Summary:

Mr. Ikhkef Jebbor is a dedicated academic whose contributions to supply chain management are marked by a commitment to innovation and education. His extensive experience in the automotive sector complements his academic pursuits, enabling him to offer valuable insights and practical solutions. His collaborative nature fosters a dynamic learning environment that inspires students and encourages research excellence.

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Mr. Ikhkef Jebbor holds a State Engineer degree in Industrial Engineering from Moulay Ismail University and an Education Diploma in Physics & Chemistry from CPR Mohamed V in Safi. He also completed a Professional University Degree in Renewable Energies and Sustainable Development, and a General University Degree in Physical Matter Sciences from Ibn Zohr University. He completed his BAC in Experimental Science at Salah Eddin Elayyoubi High School.

 

šŸ¢Ā Experience:

With over 10 years of experience in the automotive industry, Mr. Jebbor currently serves as an Engineering Project Leader at Sumitomo Electric Wiring System in Europe. His career progression includes roles as a Senior Project Engineer, Process Engineer, and Work Study Engineer. He has successfully optimized production processes, managed project life cycles, and implemented cost-reduction strategies while fostering continuous improvement through lean manufacturing principles.

 

šŸ› ļøSkills:

Mr. Jebbor possesses a strong skill set in project and process engineering, production planning, and supply chain management. He is well-versed in failure mode and effects analysis, mathematical modeling, and optimization techniques. His technical expertise includes proficiency in various software applications such as CATIA V5, MATLAB, and Microsoft Office, as well as knowledge of quality management standards like ISO 9001 and IATF.

 

Research Focus :

His research interests lie in engineering optimization, lean manufacturing methodologies, and the integration of renewable energy technologies. Mr. Jebbor is dedicated to improving industrial processes and promoting sustainability within engineering practices.

 

šŸ”¬Awards:

Throughout his career, he has been recognized for his contributions to productivity improvement and his ability to lead cross-functional teams. His commitment to excellence in engineering and management has made him a valuable asset to his organization.

 

Conclusion:

Given his strong foundation in supply chain management, coupled with a passion for innovation and education, Mr. Ikhkef Jebbor is a worthy candidate for the Best Innovation Award. His ability to engage students and foster collaborative projects positions him as a leader in his field, with the potential to make significant contributions to both academia and industry. Supporting his continued growth and expanding his collaborative efforts will further enhance his impact and the innovative capacity of his research.

 

Publications :
  • ebbor, I. (2021). Optimization of Production Processes in the Automotive Industry. International Journal of Industrial Engineering Research, 12(4), 345-358.
  • Jebbor, I., & Zrour, H. (2019). Lean Manufacturing Implementation: Challenges and Opportunities. Journal of Manufacturing Science and Engineering, 141(2), 021012.
  • Jebbor, I., & Elmasri, R. (2018). Impact of Supply Chain Management on Production Efficiency. Journal of Supply Chain Management, 54(1), 23-37.
  • Jebbor, I., & Idrissi, S. (2017). Application of Six Sigma in the Automotive Sector: A Case Study. Quality Management Journal, 24(3), 5-19.
  • Jebbor, I. (2016). Innovations in Project Life Cycle Management: Best Practices for the Automotive Industry. Engineering Management Journal, 28(1), 15-29.

GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Dr. GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Dr. GLORIA GARCIA-DONAS GABALDON, Servicio Andaluz de Salud SAS, Spain

Dr. Gloria Garcia-Donas Gabaldon is a medical professional affiliated with the Servicio Andaluz de Salud (SAS) in Spain. With expertise in her field, she is committed to providing high-quality healthcare and improving patient outcomes. Her work reflects a dedication to advancing medical practices and contributing to public health initiatives within the Andalusian healthcare system.

 

Summary:

Dr. Gloria GarcĆ­a-Donas GabaldĆ³n stands out as an exemplary candidate for the Research for Best Researcher Award due to her significant contributions to medical research and public health. Her extensive publication record and impactful studies highlight her dedication to advancing medical knowledge and improving patient outcomes.

 

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Dr. GarcĆ­a-Donas earned her Medical Degree from the University of Seville in 1995, followed by a specialization in Hematology and Hemotherapy in 2001 through the MIR program. She obtained her doctorate in 2008, with a thesis on the prevalence of the G20210A prothrombin mutation in thromboembolic disease, which received a “Cum Laude” distinction. Her academic foundation is reinforced by continuous professional development through numerous accredited courses.

šŸ¢Ā Experience:

Dr. GarcĆ­a-Donas has a diverse professional background, having worked across multiple hospitals in Andalusia, including her current position at Hospital U.V. Macarena in Seville since 2015. Her roles have included responsibilities in laboratory hematimetry and cytomorphology, as well as providing clinical care in various hematological conditions. Over her career, she has accrued significant experience managing anticoagulation therapy and immune thrombocytopenia, focusing on optimizing patient outcomes.

šŸ› ļøSkills:

Gloria GarcĆ­a-Donas GabaldĆ³n is an accomplished hematologist with extensive expertise in hematology, laboratory techniques, and clinical management. She specializes in oral anticoagulation therapy and immune thrombocytopenia, demonstrating proficiency in patient consultations and laboratory responsibilities. Her clinical acumen is complemented by her teaching and research skills, allowing her to effectively communicate complex concepts to peers and students.

Research Focus :

Her research interests center on thromboembolic disorders, immune thrombocytopenia, and hematological malignancies. She has contributed to the scientific community through various publications and presentations, focusing on genetic factors influencing thrombosis, treatment outcomes in hematological conditions, and novel therapeutic approaches in anticoagulation.

šŸ”¬Awards:

Dr. GarcĆ­a-Donas has been recognized for her contributions to hematology, including awards for her research presentations at national and international conferences. Her work has significantly impacted clinical practices and treatment protocols, earning her respect within the medical community for her expertise and commitment to advancing the field of hematology.

 

Conclusion:

In conclusion, Dr. GarcĆ­a-Donas is not only a prolific researcher but also a committed healthcare professional whose work has the potential to influence clinical practices significantly. Recognizing her contributions through the Research for Best Researcher Award would not only honor her achievements but also inspire continued excellence and innovation in the field of medicine.

 

Publications :
  • GarcĆ­a-Donas GabaldĆ³n G. “SĆ­ndromes hemorrĆ”gicos mĆ”s frecuentes en el niƱo.” Pediatr Integral 1998; 3(3): 294-302.
  • GarcĆ­a-Donas GabaldĆ³n G. “Prevalencia de los polimorfismos genĆ©ticos asociados a trombofilia en poblaciĆ³n sana del sur de EspaƱa.” Med Clin (Barc) 2004 Apr 17; 122(14): 556-7.
  • GarcĆ­a-Donas GabaldĆ³n G. “Anemia hemolĆ­tica autoinmune causada por autoanticerpos IgA.” Med Clin (Barc) 2004 Nov 13; 123(17): 678.
  • GarcĆ­a-Donas GabaldĆ³n G. “Aplasia pura de serie roja asociada a leucemia linfoide crĆ³nica con respuesta favorable a rituximab.” Med Clin (Barc) 2005 Nov 19; 125(18): 717-8.
  • GarcĆ­a-Donas GabaldĆ³n G. “The influence of the age in the risk of the prothrombin G20210A mutation for spontaneous venous thrombosis.” Med Clin (Barc) 2007 May 5; 128(17): 652-4.
  • GarcĆ­a-Donas GabaldĆ³n G. “CapĆ­tulo 4.2.4 MPL y mielofibrosis.” In: Manual para el manejo de pacientes con MIELOFIBROSIS. March 2015. ISBN: 978-84-938864-8-6.
  • GarcĆ­a-Donas GabaldĆ³n G. “MIELOFIBROSIS Recomendaciones bĆ”sicas para el diagnĆ³stico, pronĆ³stico y tratamiento.” March 2015. ISBN: 978-84-938864-7-9.
  • GarcĆ­a-Donas GabaldĆ³n G. “Prevalencia de la mutaciĆ³n de la protrombina G20210A en la enfermedad tromboembĆ³lica.” Thesis, May 2008.
  • Villegas A, NĆŗƱez R, Gaya A, Cuevas-Ruiz MV, GarcĆ­a-Donas GabaldĆ³n G. “Presence of acute and chronic renal failure in patients with paroxysmal nocturnal hemoglobinuria: results of a retrospective analysis from the Spanish PNH Registry.” Ann Hematol 2017 Oct; 96(10): 1727-1733. doi: 10.1007/s00277-017-3059-x.
  • Matarraz S, Leoz P, FernĆ”ndez C, Colado E, ChillĆ³n MC, GarcĆ­a-Donas GabaldĆ³n G. “Basophil-lineage commitment in acute promyelocytic leukemia predicts for severe bleeding after starting therapy.” Mod Pathol 2018 Aug; 31(8): 1318-1331. doi: 10.1038/s41379-018-0038-2.
  • Mingot-Castellano ME, GarcĆ­a-Candel F, BenĆ­tez-Hidalgo O, et al. “Activated prothrombin complex concentrate to treat bleeding events in acquired hemophilia A: BAHAS study.” Eur J Haematol 2022 Dec; 109(6): 686-695. doi: 10.1111/ejh.13853.
  • JimĆ©nez-BĆ”rcenas R, GarcĆ­a-Donas GabaldĆ³n G, Campos-Ɓlvarez RM, et al. “Treatment with fostamatinib in patients with immune thrombocytopenia: Experience from the Andalusian region in Spain-The Fostasur Study.” Br J Haematol 2024 May; 204(5): 1977-1985. doi: 10.1111/bjh.19443.
  • GonzĆ”lez-LĆ³pez TJ, Bermejo-Vega N, Cardesa-Cabrera R, et al. “Fostamatinib effectiveness and safety for immune thrombocytopenia in clinical practice.” Blood 2024 Aug 8; 144(6): 646-656. doi: 10.1182/blood.2024024250.

Thimthana Lee | propulsion |Best Researcher Award

Mr. Thimthana Lee | propulsion |Best Researcher Award

Mr.Thimthana Lee,Australian National University,Australia

Mr. Thimthana Lee is a researcher at Australian National University in Australia. His work centers on innovative solutions and methodologies in his field, where he has developed a reputation for rigorous research and dedication to advancing knowledge. With a focus on impactful and forward-thinking research, Mr. Lee’s contributions have been recognized for their significance and relevance within academic and professional circles.

Summary:

Ms. Tianyi Chen demonstrates a strong foundation in architecture and lighting design, with research exploring how spatial perception influences user interaction with indoor environments. Her work on the psychological and physical interactions in lighting design is innovative and contributes valuable insights into optimizing commercial spaces

Professional Profiles:

Orcid

šŸŽ“ Academic and Professional Background :

Tianyi Chen is a researcher in architecture, with a specialized focus on lighting design. He has a strong academic foundation and professional experience, centering on research that integrates psychological and physical dynamics in spatial perception. Chenā€™s work is informed by experimental studies and a dedication to enhancing indoor commercial spaces through optimal visual complexity and cognitive load management.

šŸ¢Research and Innovations:

Completed/Ongoing Research Projects,Chen’s notable research project, “Spatial Perception Benefit Considering Attractiveness and Cognitive Load: Appropriate Visual Complexity of Indoor Commercial Space,” explores innovative approaches to optimize indoor environments for better spatial perception. His work is grounded in significant psychological principles and visual design strategies.,Citation Index.Chenā€™s research contributions have been cited in reputable journals, including SCI and Scopus-indexed publications. A recent article, co-authored in the Journal of Building Engineering, demonstrates the impact of his research in the architectural field.

 

šŸ› ļøAreas of Research:

Chen’s primary research interests include spatial perception and indoor lighting design, with a focus on the cognitive and perceptual impacts of architectural elements within commercial spaces.

Contributions :

Chen’s research contributes valuable insights into the psychological and physical interactions between people, lighting, and spatial design. His work emphasizes creating an ideal balance in visual complexity to support cognitive comfort and spatial appeal, pushing forward the boundaries in architectural and environmental design.

Conclusion:

Ms. Tianyi Chen is a suitable candidate for the Best Researcher Award in her field. Her researchā€™s relevance to architecture, focus on cognitive science, and demonstrated innovation in user experience through spatial design align well with the awardā€™s objectives. Strengthening her application with additional publications and collaborative efforts could make her an even more compelling candidate.

Publications :

  1. Toxicity of Tributyltin to Chironomus Larvae
    • Authors: Song, Z.; Chen, T.
    • Journal: Huanjing Kexue (Environmental Science)
    • Year: 1998
    • Citations: 1

 

  1. Toxicity of Tributyltin to Spirulina Subsalsa
    • Authors: Chen, T.; Song, Z.; Shen, L.
    • Journal: Huanjing Kexue (Environmental Science)
    • Year: 1998
    • Citations: 3

 

  1. A Diparametric QSAR Pattern for Organotin Compounds on Rotifer Brachionus Plicatilis
    • Authors: Sun, H.-W.; Huang, G.-L.; Dai, S.-G.; Chen, T.-Y.
    • Journal: Toxicological and Environmental Chemistry
    • Year: 1997
    • Citations: 4

 

Hanyang Wan | Image processing |Best Researcher Award

Mrs. Hanyang Wan | Image processing |Best Researcher Award

Mrs.Hanyang Wan,University of Electronic Science and Technology of China,China

Mrs. Hanyang Wan is affiliated with the University of Electronic Science and Technology of China, where she is actively involved in advancing research and education. Known for her expertise, Mrs. Wan contributes significantly to her field, fostering innovation and knowledge within the academic community in China.

Summary:

Dr. Peter Yongtao Wang exemplifies a leading researcher in big data, IoT, robotics, and intelligent platforms. His work has significantly impacted technological applications in security, automation, and smart systems on both a domestic and international scale. With leadership roles at top technology firms, he has shaped and implemented cutting-edge solutions, from intelligent buildings to secure cities, and has influenced industry standards through his participation in regulatory committees.

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Ph.D. in Engineering,University of Leeds, UK
Dr. Wang holds a Ph.D. in Engineering from the University of Leeds, where his academic focus laid the groundwork for his career in automation, intelligent systems, and advanced software development.

šŸ¢Ā Experience:

With over a decade of experience in software programming, platform design, and system solutions, Dr. Wang has worked on numerous domestic and international projects, focusing on intelligent buildings, safe cities, and smart cities. His leadership and technical skills have been instrumental in designing and deploying advanced solutions across various sectors. As a recognized expert, he serves as a member of the China Alarm and Monitoring Standardization Committee, where he has actively contributed to the development and review of industry and national standards

šŸ› ļøSkills:

Technical Expertise: Proficient in big data platforms, intelligent robotics, cloud computing, and IoT systems. Skilled in network design, integrated security platforms, and software automation.,Programming and Development: Advanced software programming, platform design, and system architecture.,Leadership and Strategy: Proven leadership experience with a focus on driving technology innovation and implementing large-scale solutions for smart cities and secure infrastructure.,Standards and Compliance: Active member of the China Alarm and Monitoring Standardization Committee, with significant experience in industry and national standard development.

Research Focus :

Dr. Wangā€™s research interests center on the intersection of big data, robotics, and IoT, with a particular focus on developing integrated platforms that enhance security, efficiency, and automation. His postdoctoral research at the University of Leeds, as well as his industry roles, emphasize his commitment to advancing technology in ways that address real-world challenges in urban safety and intelligent building solutions.

šŸ”¬Awards:

Dr. Wangā€™s contributions to intelligent systems and automation have been recognized through various awards, including distinctions from national committees and international organizations. His achievements in safe and smart city solutions have also garnered industry-wide respect and acknowledgment.

Conclusion:

Dr. Wangā€™s strong industry background, technical expertise, and leadership in intelligent systems make him a solid candidate for the Research for Best Researcher Award, especially if the award criteria value applied research and industry impact. For a competitive edge, showcasing any available publications, academic collaborations, or mentorship contributions could further demonstrate his influence as a researcher.

Publications :

  • Ultrasonic Spectroscopy Studies of Casein in Water”
    Authors: MJW Povey, M Golding, D Higgs, Y Wang
    Published in: International Dairy Journal, 1999, 9(3-6): 299-303
    Citations: 38

 

  • “An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
    Authors: PV Nelson, MJW Povey, Y Wang
    Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
    Citations: 27
  • “A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
    Authors: Y Wang, MJW Povey
    Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
    Citations: 22

     

  • Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
    Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
    Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
    Citations: 3 
  • “Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
    Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
    Published in: Energies, 2024, 17(20): 5205
    Citations: Not yet available

Tianyi Chen | lighting design |Best Researcher Award

Ms. Tianyi Chen | lighting design |Best Researcher Award

Ms.Tianyi Chen,Tianjin University,China

Ms. Tianyi Chen is a distinguished academic affiliated with Tianjin University, China. With a focus on advancing research in her field, she has contributed to numerous projects and publications. Her work is marked by innovative methodologies and a commitment to fostering academic excellence, making her a respected figure within her academic community.

Summary:

Ms. Tianyi Chen demonstrates a strong foundation in architecture and lighting design, with research exploring how spatial perception influences user interaction with indoor environments. Her work on the psychological and physical interactions in lighting design is innovative and contributes valuable insights into optimizing commercial spaces

Professional Profiles:

Scopus

šŸŽ“ Academic and Professional Background :

Tianyi Chen is a researcher in architecture, with a specialized focus on lighting design. He has a strong academic foundation and professional experience, centering on research that integrates psychological and physical dynamics in spatial perception. Chenā€™s work is informed by experimental studies and a dedication to enhancing indoor commercial spaces through optimal visual complexity and cognitive load management.

šŸ¢Research and Innovations:

Completed/Ongoing Research Projects,Chen’s notable research project, “Spatial Perception Benefit Considering Attractiveness and Cognitive Load: Appropriate Visual Complexity of Indoor Commercial Space,” explores innovative approaches to optimize indoor environments for better spatial perception. His work is grounded in significant psychological principles and visual design strategies.,Citation Index.Chenā€™s research contributions have been cited in reputable journals, including SCI and Scopus-indexed publications. A recent article, co-authored in the Journal of Building Engineering, demonstrates the impact of his research in the architectural field.

 

šŸ› ļøAreas of Research:

Chen’s primary research interests include spatial perception and indoor lighting design, with a focus on the cognitive and perceptual impacts of architectural elements within commercial spaces.

Contributions :

Chen’s research contributes valuable insights into the psychological and physical interactions between people, lighting, and spatial design. His work emphasizes creating an ideal balance in visual complexity to support cognitive comfort and spatial appeal, pushing forward the boundaries in architectural and environmental design.

Conclusion:

Ms. Tianyi Chen is a suitable candidate for the Best Researcher Award in her field. Her researchā€™s relevance to architecture, focus on cognitive science, and demonstrated innovation in user experience through spatial design align well with the awardā€™s objectives. Strengthening her application with additional publications and collaborative efforts could make her an even more compelling candidate.

Publications :

  1. Toxicity of Tributyltin to Chironomus Larvae
    • Authors: Song, Z.; Chen, T.
    • Journal: Huanjing Kexue (Environmental Science)
    • Year: 1998
    • Citations: 1

 

  1. Toxicity of Tributyltin to Spirulina Subsalsa
    • Authors: Chen, T.; Song, Z.; Shen, L.
    • Journal: Huanjing Kexue (Environmental Science)
    • Year: 1998
    • Citations: 3

 

  1. A Diparametric QSAR Pattern for Organotin Compounds on Rotifer Brachionus Plicatilis
    • Authors: Sun, H.-W.; Huang, G.-L.; Dai, S.-G.; Chen, T.-Y.
    • Journal: Toxicological and Environmental Chemistry
    • Year: 1997
    • Citations: 4

 

Prabhavathy M | Disease Diagnosis |Best Researcher Award

Dr. Prabhavathy M | Disease Diagnosis |Best Researcher Award

Ā Dr.Prabhavathy M,Coimbatore Institute of technology,India

Dr. Prabhavathy M. is a distinguished academic and researcher at the Coimbatore Institute of Technology, India. With extensive expertise in engineering and technology, she is known for her contributions to advanced research and innovation in her field. Dr. Prabhavathy has published numerous papers in renowned journals and actively participates in national and international conferences, where her insights have enriched the academic community. Through her teaching and mentorship, she continues to inspire the next generation of engineers and researchers.

Summary:

Assist. Prof. Dr. Manatee Jitanan is a strong candidate for the Research for Best Researcher Award due to his extensive research in global health, public health education, and the innovative use of technology to promote well-being. His multidisciplinary background, long-standing academic career, and research on contemporary health issues are his key strengths. However, focusing more on specialized topics, enhancing international collaborations, and increasing high-impact journal publications could further bolster his candidacy for global recognition.

Professional Profiles:

Scopus

šŸŽ“ Education :

Ph.D. in Instrumentation and Control Engineering (ICE), Anna University (2022)
Awarded with “Highly Commended” honors, the Ph.D. in ICE emphasized innovative control strategies in real-world applications, advancing precision and reliability within engineering systems.,Master of Engineering in Computer Science and Engineering, Anna University, Kumaraguru College of Technology, Coimbatore (2011),Graduated with a CGPA of 8.87, attaining “First Class with Distinction.” Specialized in advanced computer science domains, focusing on algorithm optimization and data management technologies.,Bachelor of Engineering in Computer Science and Engineering, Anna University, Government College of Engineering, Salem (2009),Achieved 79%, securing “First Class with Distinction.” The program emphasized foundational and advanced topics in computer science, developing robust software engineering skills and an analytical mindset.

šŸ¢Ā Experience:

Associate Professor, Coimbatore Institute of Technology (February 2024 – Present)
As an Associate Professor, responsibilities include curriculum development, leading research projects, and mentoring graduate students. A significant focus has been on integrating real-world applications with academic concepts to enhance student engagement.,Assistant Professor, Coimbatore Institute of Technology (May 2014 – January 2024)
With a decade of service, contributed to curriculum design, research advancements, and student mentorship. Developed instructional strategies that bridge theoretical knowledge with practical, industry-aligned applications.,Assistant Professor, Dhirajlal Gandhi College of Technology, Salem (June 2013 – May 2014),Focused on implementing advanced teaching methods to promote student understanding in key areas of computer science. Collaborated on departmental research initiatives and student assessment innovations

šŸ› ļøSkills:

Technical Skills,Proficient in Machine Learning, Artificial Intelligence, Deep Neural Networks, Service-Oriented Architecture, and Data Analytics. Extensive knowledge in the development and application of intelligent systems and data-driven solutions.Instructional Skills
Specialized in Curriculum Design, Technological Instruction, Authentic Assessment Development, and Student Counseling and Motivation. Recognized for an ability to tailor instruction to meet diverse learning needs.Interpersonal Skills
Exhibits strong Interpersonal Communication, Organizational Skills, Time Management, and Problem-Solving abilities. Known for building a collaborative environment that fosters learning and innovation.

Research Focus :

With over 14 years of combined academic and industry experience, research has centered on the practical applications of machine learning and explainable AI. Key projects include:,IoT-Based Health Monitoring in ICUs,Developed a patent-published system for real-time patient monitoring in ICU settings, providing critical insights into patient care and alerting mechanisms for healthcare providers.Automatic Video Summarization Using LSTM Architectures,Conducted pioneering research in video content processing using recurrent neural networks, enhancing the efficiency and effectiveness of media management and data analysis.

šŸ”¬Awards:

Outstanding Academic Performance,Graduated with “First Class with Distinction” in both Master’s and Bachelor’s degrees in Computer Science and Engineering, demonstrating a consistent record of academic excellence.,Highly Commended Ph.D. Thesis
Recognized by Anna University for a “Highly Commended” Ph.D. thesis, underscoring the innovative nature and impact of research in Instrumentation and Control Engineering.Published Patents in IoT and AI,Holder of several patents for innovations in IoT, neural network architectures, and AI-driven educational tools, highlighting contributions to technological advancements in education and health monitoring.

Conclusion:

Dr. Jitanan is well-suited for the Research for Best Researcher Award, given his significant contributions to public health and health education, especially in response to current global challenges like COVID-19 and firearm violence. His research has practical applications, particularly in improving the well-being of students and vulnerable populations, which aligns with the criteria of impactful, innovative, and community-driven research. With some areas for growth, particularly in international collaboration and high-impact journal outreach, Dr. Jitanan has the potential to make an even greater mark in his field.

Publications :

  • Title: Machine Learning-Based Prediction of Cyclic Voltammetry Behavior of Substitution of Zinc and Cobalt in BiFeO3/Bi25FeO40 for Supercapacitor Applications
    Authors: Ravichandran, A., Raman, V., Selvaraj, Y., Mohanraj, P., Kuzhandaivel, H.
    Source: ACS Omega
    Year: 2024
    Citations: 0

 

  • Title: Evolutionary Discriminative Deep Belief Network Based Diabetic Retinopathy Classification
    Authors: Saranya Rubini, S., Sathya, K., Saveeth, R., Prabhavathy, M.
    Source: Lecture Notes in Networks and Systems
    Year: 2024
    Citations: 0

 

  • Title: Stroke Prediction Using ML and IoT Based Wearable Device
    Authors: Kanagaraj, G., Primya, T., Prabhavathy, M., Saranya, P., Senthilkumar, V.
    Source: AIP Conference Proceedings
    Year: 2023
    Citations: 0

 

  • Title: Meat Dish Image Recognizer: Automatic Categorization of Various Meat Dish Images in Malaysia using Deep Learning Techniques
    Authors: Sumari, P., Raman, V., Prabhavathy, M., Sheng, K.W., Han, S.W.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: Detection of Covid 19/Pneumonia by using Machine Learning Techniques
    Authors: Thilagavathi, G., Lavanya, G., Prabhavathy, M., Saranya, R.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: API Calls Based Malware Detection using Behavior Graphs
    Authors: Prabhavathy, M., Raman, V., Thilagavathi, G.
    Source: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies
    Year: 2023
    Citations: 0

 

  • Title: An Enhanced Deep Learning Technique for Crack Identification in Composite Materials
    Authors: Ramanathan, S., Sankareswaran, U.M., Mohanraj, P.
    Source: Lecture Notes in Networks and Systems
    Year: 2023
    Citations: 0

 

  • Title: A Novel Approach for Detecting Online Malware Detection LSTM-RNN and GRU Based Recurrent Neural Network in Cloud Environment
    Authors: Prabhavathy, M., Uma Maheswari, S., Saveeth, R., Saranya Rubini, S., Surendiran, B.
    Source: Lecture Notes in Networks and Systems
    Year: 2022
    Citations: 3

 

  • Title: Prevention of runtime malware injection attack in cloud using unsupervised learning
    Authors: Prabhavathy, M., Umamaheswari, S.
    Source: Intelligent Automation and Soft Computing
    Year: 2022
    Citations: 6

 

  • Title: Permission and API calls based hybrid machine learning approach for detecting malicious software in android system
    Authors: Prabhavathy, M., Maheswari, S.U., Saveeth, R., Rubini, S.S.
    Source: Journal of Multiple-Valued Logic and Soft Computing
    Year: 2021
    Citations: 2

 

Vikas Gupta | Computer technology | Best Researcher Award

Ā Dr. Vikas Gupta | Computer technology | Best Researcher Award

Dr. Vikas Gupta,Ch. Devi Lal State Institute of Engineering & Technology, Panniwala Mota, Sirsa, Haryana, India, India.

Dr. Vikas Gupta is an esteemed faculty member at Ch. Devi Lal State Institute of Engineering & Technology in Panniwala Mota, Sirsa, Haryana, India. With a focus on engineering education and research, he has contributed significantly to the academic community. Dr. Gupta is known for his commitment to fostering student development and advancing innovative engineering practices. His expertise and leadership continue to inspire students and colleagues alike.

Summary:

Dr. Vikas Gupta is an esteemed faculty member at Ch. Devi Lal State Institute of Engineering & Technology, known for his significant contributions to engineering education and research. His extensive experience, innovative research, and commitment to student development position him as a leading figure in the academic community. His publications and patents highlight his impact on the field.

Professional Profiles:

šŸŽ“ Education :

Dr. Vikas Gupta holds a Ph.D. in Mechanical Engineering from the National Institute of Technology, Kurukshetra (NITK). He earned his M.E. in Mechanical Engineering from the Birla Institute of Science and Technology (BITS) Pilani, where he achieved a perfect CGPA of 10.00/10.00, topping his batch. He completed his B.E. in Mechanical Engineering from Giani Zail Singh College of Engineering & Technology.

šŸ¢Ā Experience:

With over 24 years of experience in academia, Dr. Gupta has held various positions in engineering colleges. He began his career as a Lecturer at BRCM College of Engineering & Technology, progressing to roles such as Senior Lecturer and Assistant Professor. He currently serves as an Assistant Professor at Ch. Devi Lal State Institute of Engineering and Technology, where he focuses on teaching and research in mechanical engineering.

šŸ› ļøSkills:

Dr. Gupta specializes in several research fields, including Additive Manufacturing, Heterogeneous Object Modeling of Medical Implants and Soft Tissues, Geometric Modeling, Robotics and Automation, and CAD/CAM/CAE. His expertise encompasses both theoretical and practical aspects of mechanical engineering, making him a valuable asset in educational and research settings.

Research Focus :

Dr. Gupta’s research interests are diverse, primarily focusing on advanced manufacturing techniques, modeling and simulation of biomedical applications, and the integration of robotics in mechanical systems. His work contributes to the development of innovative solutions in engineering, particularly in the context of medical implants and dynamic system modeling. His publications reflect a commitment to advancing knowledge in these critical areas.

 

šŸ”¬Awards:

Dr. Gupta has made significant contributions to the field of mechanical engineering. He has one patent published on an IoT-based portable hydroponic water nutrient monitoring device, with two more patents in process. His research impact is reflected in his Google Scholar H-index of 10 and I-index of 12. He has been recognized in the Marquis Who’s Who in the World for 2016 and 2017, and he received financial aid for his M.Tech. studies at BITS Pilani. Additionally, he has guided a Ph.D. student from NIT Kurukshetra and has been awarded multiple scholarships during his academic journey.

Conclusion:

Given his strengths in research, teaching, and mentorship, Dr. Vikas Gupta is well-suited for the Best Researcher Award. By addressing areas for improvement, such as enhancing collaboration and seeking additional funding, he can further amplify his contributions to engineering and inspire future generations. His continued dedication to advancing innovative engineering practices makes him a deserving candidate for this prestigious recognition.

 

Publications :
  • Gupta, V., & Tandon, P. (2015). Heterogeneous object modeling with material convolution surfaces. Computer-Aided Design, 62, 236-247.
  • Gupta, V., Bansal, R., & Goel, V.K. (2015). Lean manufacturing: A Review. International Journal of Science Technology & Management, 3(2), 176-180.
  • Gupta, V., Bajpai, V.K., & Tandon, P. (2014). Slice generation and data retrieval algorithm for rapid manufacturing of heterogeneous objects. Computer-Aided Design and Applications, 11(3), 255-262.
  • Prakash, O., Gupta, V., & Mittal, V. (2013). Optimizing the design of connecting rod under static and fatigue loading. International Journal of Research in Management, Science & Technology.
  • Gupta, V., Kasana, K.S., & Tandon, P. (2010). Computer aided design modeling for heterogeneous objects. arXiv preprint arXiv:1004.3571.
  • Joshi, T., Sharma, R., Mittal, V.K., & Gupta, V. (2021). Comparative investigation and analysis of hip prosthesis for different bio-compatible alloys. Materials Today: Proceedings, 43, 105-111.
  • Gupta, V., Saini, K., Kumar, A., Krishan, G., & Prakash, O. (2016). Comparative Analysis of Disc Brake Model for Different Materials Investigated Under Tragic Situations. Asian Review of Mechanical Engineering, 5(1), 18-23.
  • Gupta, V., Kasana, K.S., & Tandon, P. (2012). Reference based geometric modeling for heterogeneous objects. Computer-Aided Design and Applications, 9(2), 155-165.
  • Joshi, T., Sharma, R., Mittal, V.K., Gupta, V., & Krishan, G. (2022). Dynamic analysis of hip prosthesis using different biocompatible alloys. ASME Open Journal of Engineering, 1.
  • Sharma, R., Mittal, V.K., & Gupta, V. (2019). Homogeneous modelling and analysis of hip prosthesis using FEA. Journal of Physics: Conference Series, 1240(1), 012118.
  • Gupta, V., & Tandon, P. (2017). Heterogeneous composition adaptation with material convolution control features. Journal of Computing and Information Science in Engineering, 17(2), 021008.
  • Gupta, V., Kasana, K.S., & Tandon, P. (2010). CAD modeling, algorithm design, and system structure for rapid prototyping of heterogeneous objects. International Journal of Computer Applications in Engineering, Technology & Sciences.
  • Joshi, T., Sharma, R., Mittal, V.K., Gupta, V., & Krishan, G. (2022). Dynamic fatigue behavior of hip joint under patient specific loadings. International Journal of Automotive and Mechanical Engineering, 19(3), 10014.
  • Gupta, V., Bansal, R., & Goel, V.K. (2013). A Review On Material Handling Equipment And Their Selection For Potential Application. International Journal of Technical Research (IJTR), 2(1), 51-54.
  • Ravikant, Mittal, V.K., & Gupta, V. (2024). Homogeneous and heterogeneous modeling of patient-specific hip implant under static and dynamic loading condition using finite element analysis. Journal of The Institution of Engineers (India): Series D, 105(1), 1-20.

Peter Yongtao Wang | Deep Learning |Best Researcher Award

Dr. Peter Yongtao Wang | Deep Learning |Best Researcher Award

Dr.Peter Yongtao Wang,Tianma technology (Beijing),China

Dr. Peter Yongtao Wang is a prominent figure at Tianma Technology in Beijing, China. With a strong background in advanced engineering and technological innovation, Dr. Wang has led numerous projects in fields like smart manufacturing and materials science. His expertise has significantly contributed to the advancement of Tianma’s technologies, especially in creating solutions that bridge the gap between traditional industries and digital transformation.

Summary:

Dr. Peter Yongtao Wang exemplifies a leading researcher in big data, IoT, robotics, and intelligent platforms. His work has significantly impacted technological applications in security, automation, and smart systems on both a domestic and international scale. With leadership roles at top technology firms, he has shaped and implemented cutting-edge solutions, from intelligent buildings to secure cities, and has influenced industry standards through his participation in regulatory committees.

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Ph.D. in Engineering,University of Leeds, UK
Dr. Wang holds a Ph.D. in Engineering from the University of Leeds, where his academic focus laid the groundwork for his career in automation, intelligent systems, and advanced software development.

šŸ¢Ā Experience:

With over a decade of experience in software programming, platform design, and system solutions, Dr. Wang has worked on numerous domestic and international projects, focusing on intelligent buildings, safe cities, and smart cities. His leadership and technical skills have been instrumental in designing and deploying advanced solutions across various sectors. As a recognized expert, he serves as a member of the China Alarm and Monitoring Standardization Committee, where he has actively contributed to the development and review of industry and national standards

šŸ› ļøSkills:

Technical Expertise: Proficient in big data platforms, intelligent robotics, cloud computing, and IoT systems. Skilled in network design, integrated security platforms, and software automation.,Programming and Development: Advanced software programming, platform design, and system architecture.,Leadership and Strategy: Proven leadership experience with a focus on driving technology innovation and implementing large-scale solutions for smart cities and secure infrastructure.,Standards and Compliance: Active member of the China Alarm and Monitoring Standardization Committee, with significant experience in industry and national standard development.

Research Focus :

Dr. Wangā€™s research interests center on the intersection of big data, robotics, and IoT, with a particular focus on developing integrated platforms that enhance security, efficiency, and automation. His postdoctoral research at the University of Leeds, as well as his industry roles, emphasize his commitment to advancing technology in ways that address real-world challenges in urban safety and intelligent building solutions.

šŸ”¬Awards:

Dr. Wangā€™s contributions to intelligent systems and automation have been recognized through various awards, including distinctions from national committees and international organizations. His achievements in safe and smart city solutions have also garnered industry-wide respect and acknowledgment.

Conclusion:

Dr. Wangā€™s strong industry background, technical expertise, and leadership in intelligent systems make him a solid candidate for the Research for Best Researcher Award, especially if the award criteria value applied research and industry impact. For a competitive edge, showcasing any available publications, academic collaborations, or mentorship contributions could further demonstrate his influence as a researcher.

Publications :

  • Ultrasonic Spectroscopy Studies of Casein in Water”
    Authors: MJW Povey, M Golding, D Higgs, Y Wang
    Published in: International Dairy Journal, 1999, 9(3-6): 299-303
    Citations: 38

 

  •  

    “An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
    Authors: PV Nelson, MJW Povey, Y Wang
    Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
    Citations: 27

  •  

    “A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
    Authors: Y Wang, MJW Povey
    Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
    Citations: 22

     

  • Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
    Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
    Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
    Citations: 3

     

  • “Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
    Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
    Published in: Energies, 2024, 17(20): 5205
    Citations: Not yet available

munir iqbal | structural engineer |Best Researcher Award

munir iqbal | structural engineer |Best Researcher Award

Mr.munir iqbal,Ghulam Ishaq Khan Institute of sciences,Pakistan

Mr. Munir Iqbal is a dedicated academic and researcher associated with the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology in Pakistan. With expertise in [specific field, e.g., electrical engineering, materials science, etc.], he has contributed significantly to [mention any area of research or contribution briefly]. Mr. Iqbal is known for his commitment to advancing knowledge and innovation, making him a valuable asset to both his institution and the wider academic community.

Summary:

Munir Iqbal is a dedicated researcher with a solid foundation in structural engineering, evidenced by his academic achievements and technical expertise. His research on sustainable materials and reinforcement techniques demonstrates his commitment to advancing the field. His work with machine learning applications in civil engineering shows innovation and relevance, given the industry’s move toward data-driven solutions. His active pursuit of impactful topics in structural engineering aligns well with the objectives of the Best Researcher Award.

Professional Profiles:

Scopus

šŸŽ“ Education :

Masterā€™s in Structural Engineering (Materials)
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Swabi, Pakistan
July 2023 ā€“ April 2025,Currently pursuing a masterā€™s degree with an emphasis on material applications in structural engineering, Munir actively participates in research projects that contribute to advancements in structural materials. Additionally, he supports laboratory instruction, fostering a collaborative learning environment.,Bachelor of Science in Civil Engineering,Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Swabi, Pakistan,August 2019 ā€“ June 2023,Munir graduated with an impressive 83.40% score, demonstrating a strong academic record. His coursework and projects focused on structural design and sustainability within civil engineering.,Higher Secondary School Certificate (Pre-Engineering),Islamia College, Peshawar, Pakistan,June 2017 ā€“ May 2019,Achieved an 85% score, excelling in foundational engineering concepts, mathematics, and sciences.

šŸ¢Ā Experience:

Research Assistant,Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Swabi, Pakistan
July 2023 ā€“ Present,Munir engages in various research projects centered on sustainable material solutions within structural engineering. He assists professors during lab sessions and serves as a teaching assistant, fostering a collaborative and innovative academic environment.,Intern Engineer,Communication and Works Department, Chitral, Pakistan,June 2022 ā€“ August 2022,Contributed to the structural reinforcement design of beams and slabs for a five-story building project, ensuring compliance with design specifications and construction standards in collaboration with junior engineers.,Intern Engineer,Community Driven Local Development Program, Chitral, Pakistan,August 2022 ā€“ September 2022,Worked with the district engineer to design sewage systems and water channels. Developed sustainable and efficient design solutions tailored to local infrastructure needs.

 

šŸ› ļøSkills:

Software & Programming
Proficient in Microsoft Office Suite, AutoCAD, ETABS, Abaqus, Revit, PlanSwift, and ArcGIS.
Programming Languages: Skilled in C++, Python, and MATLAB.
Engineering Tools: Experienced in structural analysis and machine learning applications in structural engineering.

Research Focus :

Munirā€™s research is focused on sustainable building materials, machine learning applications in structural analysis, and the optimization of structural components. His recent projects include utilizing Class F fly ash, waste foundry sand, and natural fibers in construction to enhance structural resilience and sustainability.

šŸ”¬Awards:

Dean’s Honour List: Recognized for academic excellence throughout his undergraduate studies.,District Topper: Honored for exceptional academic performance in pre-university educatio

Conclusion:

Munirā€™s academic rigor, research output, and technical capabilities make him a strong candidate for the Research for Best Researcher Award. By addressing the areas for improvement, particularly through international collaborations and high-impact publications, he could further enhance his contributions to the field.

Publications :

  1. Title: Machine learning techniques for predicting the peak response of reinforced concrete beam subjected to impact loading
    • Authors: Husnain, A., Iqbal, M., Waqas, H.A., Javed, M.F., Ullah, R.
    • Journal: Results in Engineering
    • Year: 2024
    • Citations: 0

 

  1. Title: Computational intelligence for modeling the rheological properties of the developed hydrated lime-based alkali-activated materials
    • Authors: Nazar, S., Yang, J., Iqbal, M., Xie, J., Farooq, F.
    • Journal: Materials Today Communications
    • Year: 2024
    • Citations: 0

 

  1. Title: Exploring the rheological and mechanical properties of alkali activated mortar incorporating waste foundry sand: A comprehensive experimental and machine learning investigation
    • Authors: Ashraf, M., Nazar, S., Iqbal, M., Ullah, R., Hasan, M.U.
    • Journal: Results in Engineering
    • Year: 2024
    • Citations: 0

 

  1. Title: Development of sustainable alkali activated composite incorporated with sugarcane bagasse ash and polyvinyl alcohol fibers
    • Authors: Iqbal, M., Ashraf, M., Alkhattabi, L., Alabduljabbar, H., Husnain, A.
    • Journal: PLoS ONE
    • Year: 2024
    • Citations: 0

 

  1. Title: Development of innovative alkali activated paste reinforced with polyethylene fibers for concrete crack repair
    • Authors: Iqbal, M., Ashraf, M., Nazar, S., Alabduljabbar, H., Khan, Z.
    • Journal: PLoS ONE
    • Year: 2024
    • Citations: 2

 

  1. Title: Machine learning approaches for predicting shielding effectiveness of carbon fiber-reinforced mortars
    • Authors: Husnain, A., Iqbal, M., Ashraf, M., Alabduljabbar, H., Elminaam, D.S.A.
    • Journal: Case Studies in Construction Materials
    • Year: 2024
    • Citations: 5

Xevi Roca| Mesh generation | Best Researcher Award

Dr. Xevi Roca| Mesh generation | Best Researcher Award

Ā Dr. Xevi Roca, Barcelona Supercomputing Center, Spain

Dr. Xevi Roca is a researcher at the Barcelona Supercomputing Center (BSC) in Spain, specializing in high-performance computing and its applications in scientific research. With a strong background in computer science and engineering, he focuses on optimizing computational models and algorithms to tackle complex problems in fields such as climate science, bioinformatics, and materials science. Dr. Roca is committed to advancing supercomputing technologies and fostering collaboration between academia and industry to drive innovation.

Summary:

Dr. Xevi Roca exemplifies the qualities of a leading researcher in high-performance computing, with notable contributions to various scientific disciplines. His work not only addresses complex problems but also encourages collaborative innovation. His strengths in technical expertise, interdisciplinary application, and commitment to advancing supercomputing position him as a deserving candidate for the Best Researcher Award.

Professional Profiles:

šŸŽ“ Education :

He earned a Ph.D. in Applied Mathematics from the Universitat PolitĆØcnica de Catalunya (UPC) in 2009, after completing a BSc in Applied Mathematics at the same institution in 1998. His educational background has equipped him with a strong foundation in computational methods and algorithmics.

 

šŸ¢Ā Experience:

Dr. Roca’s professional journey includes tenured leadership at the Barcelona Supercomputing Center, where he has led various research teams supported by notable grants such as the ERC Starting Grant and RamĆ³n y Cajal. His experience also includes postdoctoral positions at MIT, where he engaged in cutting-edge research and collaboration with international teams.

 

šŸ› ļøSkills:

Dr. Xevi Roca has extensive skills in high-performance computing, algorithm optimization, and computational modeling, focusing on advanced mesh generation techniques and scientific computing methodologies. His expertise spans parallel computing, data structures, and the implementation of high-performance computing codes, enabling him to effectively tackle complex scientific challenges.

 

Research Focus :

Dr. Roca’s research interests lie at the intersection of mesh generation, computational methods, and scientific computing, particularly in aeronautical applications. He aims to develop high-fidelity simulation capabilities by integrating curved meshing with unstructured high-order methods, contributing significantly to advancements in flow simulations for both scientific and industrial applications.

 

šŸ”¬Awards:

He has received numerous accolades for his contributions to the field, including the BSC Annual Meeting Award, Best Technical Poster Awards at the International Meshing Roundtable, and the prestigious Meshing Maestro Award. His work has consistently been recognized in high-impact journals and conferences, underscoring his influence in computational methods and mesh generation.

 

Conclusion:

Dr. Rocaā€™s achievements reflect his dedication to enhancing scientific research through high-performance computing. Recognizing him with the Best Researcher Award would not only honor his past contributions but also encourage continued innovation and collaboration in the scientific community. By addressing identified areas for improvement, Dr. Roca can further amplify his impact and inspire future generations of researchers.

 

Publications :
  • A. Huerta, A. Angeloski, X. Roca, J. Peraire, “Efficiency of highā€order elements for continuous and discontinuous Galerkin methods,” International Journal for Numerical Methods in Engineering, 2013.
  • A. Gargalloā€PeirĆ³, X. Roca, J. Peraire, J. Sarrate, “Optimization of a regularized distortion measure to generate curved highā€order unstructured tetrahedral meshes,” International Journal for Numerical Methods in Engineering, 2015.
  • X. Roca, A. Gargallo-PeirĆ³, J. Sarrate, “Defining quality measures for high-order planar triangles and curved mesh generation,” Proceedings of the 20th International Meshing Roundtable, 2012.
  • A. Gargallo-PeirĆ³, X. Roca, J. Peraire, J. Sarrate, “Distortion and quality measures for validating and generating high-order tetrahedral meshes,” Engineering with Computers, 2015.
  • A. Gargallo-PeirĆ³, X. Roca, J. Sarrate, “A surface mesh smoothing and untangling method independent of the CAD parameterization,” Computational Mechanics, 2014.
  • E. Ruiz-GironĆ©s, J. Sarrate, X. Roca, “Generation of curved high-order meshes with optimal quality and geometric accuracy,” Procedia Engineering, 2016.
  • A. Gargallo-PeirĆ³, X. Roca, J. Peraire, J. Sarrate, “Defining quality measures for validation and generation of high-order tetrahedral meshes,” Proceedings of the 22nd International Meshing Roundtable, 2014.
  • E. Ruiz-GironĆ©s, X. Roca, J. Sarrate, “High-order mesh curving by distortion minimization with boundary nodes free to slide on a 3D CAD representation,” Computer-Aided Design, 2016.
  • E. Ruiz-GironĆ©s, X. Roca, J. Sarrate, R. Montenegro, J.M. Escobar, “Simultaneous untangling and smoothing of quadrilateral and hexahedral meshes using an object-oriented framework,” Advances in Engineering Software, 2015.
  • A. Gargalloā€PeirĆ³, X. Roca, J. Peraire, J. Sarrate, “A distortion measure to validate and generate curved highā€order meshes on CAD surfaces with independence of parameterization,” International Journal for Numerical Methods in Engineering, 2016.
  • X. Roca, J. Sarrate, “An automatic and general least-squares projection procedure for sweep meshing,” Engineering with Computers, 2010.
  • P. Fernandez, C. Nguyen, X. Roca, J. Peraire, “Implicit large-eddy simulation of compressible flows using the Interior Embedded Discontinuous Galerkin method,” 54th AIAA Aerospace Sciences Meeting, 2016.
  • X. Roca, J. Sarrate, A. Huerta, “Surface Mesh Projection for Hexahedral Mesh Generation by Sweeping,” International Meshing Roundtable, 2004.
  • J. Sarrate Ramos, E. Ruiz-GironĆ©s, F.J. Roca Navarro, “Unstructured and semi-structured hexahedral mesh generation methods,” Computational Technology Reviews, 2014.
  • X. Roca, “Paving the path towards automatic hexahedral mesh generation,” 2009.