Aditi Singh |Robotics| Best Researcher Award

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Dr. Aditi Singh |Robotics| Best Researcher Award

Cleveland State University,United States

Aditi Singh is a student at Cleveland State University in the United States. She is currently pursuing her academic goals with a focus on [your field of study or interest, if known]. Aditi is passionate about [mention any specific interests or areas of expertise, if applicable] and is committed to contributing positively to her community and future career.

Summary:

Xiaohong Zheng is an accomplished researcher with a strong track record in materials science, particularly in the development of advanced gas sensors. His work on novel materials and their applications for detecting harmful gases like NO2 demonstrates significant scientific and practical value. He is recognized as an excellent teacher and mentor and has successfully led funded research projects. His ability to innovate, collaborate, and secure funding highlights his leadership in the field.

 

Professional Profiles:

 Scopus

🎓 Education :

Dr. Aditi Singh has an extensive academic background in computer science:,Ph.D. in Computer Science (2023) from Kent State University, focusing on “A Synchronized Colored Petri Net Modeling for Automated Identification and Learning of Conversational Gestures.”,M.S. in Computer Science (2017) from Kent State University, with research on automated gesture generation.,Bachelor of Engineering in Computer Science (2013) from Sathyabama University, India, graduating summa cum laude with a Gold Medal as the university top rank holder.

 

🏢 Experience:

Dr. Singh currently serves as an Assistant College Lecturer at Cleveland State University, where she teaches graduate and undergraduate courses such as algorithms, database systems, and programming languages. Her prior roles include:,Graduate Assistant at Kent State University, teaching artificial intelligence and programming.,Intern at MathWorks Inc., contributing to a Model-Based System Engineering product.,Programmer Analyst at Cognizant Technology Solutions, specializing in data transformation and warehousing.

🛠️Skills:

Dr. Singh possesses a diverse skill set, including:,Computer Aided Design In Mechanical Engineering: Expertise in modeling, gesture recognition, and large language models.,Programming: Proficient in multiple languages and frameworks for developing hybrid and online education tools.,Data Analytics and Visualization: Specializes in ETL processes and metadata management.,Leadership: Founding Chair of ACM-W Student Chapter and a former president of the Computer Science Graduate Student Association at Kent State University.

 

Research Focus :

Dr. Singh’s research delves into:,Computer Aided Design In Mechanical Engineering and Human-Computer Interaction: Gesture recognition and conversational modeling for social robots.,Educational AI: Developing innovative methods to teach AI concepts to K-12 students.,Applied AI and Big Data: Surveys on emotional AI frameworks, large language models, and big data challenges.

 

🔬Awards:

Dr. Singh’s accomplishments include:2024 AnitaB.org Advancing Inclusion Scholarship Award.,2023 Best Presenter Award at IEEE CCWC.,Multiple travel and volunteer awards for contributions to academic communities.,Finalist for the Best Paper Award in 2018.

 

Conclusion:

Given his solid research output, teaching excellence, and leadership in securing funding, Xiaohong Zheng is certainly a strong candidate for the Best Researcher Award. His contributions to the development of advanced sensing technologies, along with his academic and research leadership, position him as a promising figure in the field of materials science and sensor technology.

 

 Publications:

  • “A Survey of AI Text-to-Image and AI Text-to-Video Generators”
    • Citations: 20
    • Year: 2023

 

  • “Revolutionizing Mental Health Care through LangChain: A Journey with a Large Language Model”
    • Citations: 15
    • Year: 2024

 

  • “A Comparison Study on AI language detector”
    • Citations: 7
    • Year: 2023

 

  • “Exploring Language Models: A Comprehensive Survey and Analysis”
    • Citations: 5
    • Year: 2023

 

  • “Transdisciplinary AI Education: The Confluence of Curricular and Community Needs in the Instruction of Computer Aided Design In Mechanical Engineering”
    • Citations: 5
    • Year: 2023

 

  • “Towards Synchronous Model of Non-emotional Conversational Gesture Generation in Humanoids”
    • Citations: 5
    • Year: 2021

 

  • “Declarative modeling and implementation of robotic head-based gestures for human-robot interaction”
    • Citations: 4
    • Year: 2019

 

  • “Synchronous Colored Petri Net Based Modeling and Video Analysis of Conversational Head-Gestures for Training Social Robots”
    • Citations: 3
    • Year: 2021

 

  • “Automated Real-Time Recognition of Non-emotional Conversational Head-Gestures for Social Robots”
    • Citations: 2
    • Year: 2022

 

  • “Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model”
    • Citations: 1
    • Year: 2024

 

  • “Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation”
    • Citations: 1
    • Year: 2024

 

  • “Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Analysis for Identifying Iconic Gestures in Human-Robot Interactions”
    • Citations: 1
    • Year: 2024

 

  • “Design of a Novice-Friendly Drone Control System”
    • Citations: 1
    • Year: 2024

 

  • “An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human–Robot Interaction”
    • Citations: 1
    • Year: 2023

 

  • “Synchronized Colored Petri Net Based Multimodal Modeling and Real-Time Recognition of Conversational Spatial Deictic Gestures”
    • Citations: 1
    • Year: 2023

 

 

Guanglong Du |robotics | Best Researcher Award

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Prof .Guanglong Du |robotics | Best Researcher Award

Prof . Guanglong Du ,South China University of Technology, China

Prof. Guanglong Du’s credentials, spanning from his educational background to his extensive experience in human-robot interaction, make him a strong candidate for the Best Researcher Award. His leadership in national and provincial research projects, his role in bridging academia with industry, and his focus on solving real-world problems position him as an influential figure in his field. However, expanding his international profile and increasing his global research visibility through collaboration and publication in top international venues could further enhance his candidacy.

Summary:

Dr. Qing Dai is an outstanding researcher with a remarkable track record of innovation in chemical biology and nucleoside chemistry. His pioneering methods for RNA and DNA sequencing, particularly in the context of detecting modifications such as 5-hmC and pseudouridine, have significant potential for advancing genomics and cancer research. His ability to translate complex research into applicable technologies, supported by numerous patents and prestigious awards, demonstrates his capacity for high-level scientific contributions. However, a more visible engagement in mentorship, societal impact, and broader community outreach could enhance his profile for the Best Researcher Award.

Professional Profiles:

🎓 Education :

PhD in Information and Computer Science,2013-2008, South China University of Technology, China,Bachelor of Information and Computer Science,2008-2004, Sun Yat-sen University, Guangzhou, China

🏢 Experience:

Professor, School of Computer Science and Engineering,September 2020 – Present, South China University of Technology,Leading research efforts in robotics, human-machine interaction, and artificial intelligence. Chairing multiple national and provincial research projects.,Associate Professor, School of Computer Science and Engineering,September 2016 – September 2020, South China University of Technology,Conducted research on robotics and human-robot communication. Led and participated in numerous research projects funded by both national and provincial bodies,Associate Researcher, School of Computer Science and Engineering,August 2015 – September 2016, South China University of Technology,Involved in projects related to natural human-robot interaction and industrial applications of human-machine collaboration.

🛠️Skills:

Computer Aided Design In Mechanical Engineering & Machine Learning,Expertise in applying AI technologies to human-machine interaction, robot learning, and adaptive systems,Human-Robot Communication,Skilled in designing natural interaction methods between robots and humans, with experience in developing force feedback technologies and immersive virtual environments,Project Leadership & Collaboration,Experienced in leading large-scale, multi-year research projects funded by national bodies and private enterprises. Excellent collaboration,skills, particularly in cross-disciplinary research teams.

🔬Awards:

Chairperson of several major research projects under the National Natural Science Foundation of China (NSFC).,Leader of provincial and ministerial-level projects, including the Guangdong Provincial Key Area R&D Program.

Conclusion:

Based on his strong research leadership, practical contributions to human-robot interaction, and proven ability to attract significant research funding, Prof. Guanglong Du is highly deserving of recognition as a top researcher. With a few targeted efforts toward international collaboration and interdisciplinary innovation, he has the potential to secure this award and continue his ascent as a leader in his field.

Publications :

  • A Fully Autonomous Robotic Ultrasound System for Thyroid Scanning
    Authors: Su, K., Liu, J., Ren, X., Li, D., Liu, P.X.
    Source: Nature Communications
    Year: 2024
    Citations: 2

 

  • Online Kinematic Calibration of Robot Manipulator Based on Neural Network
    Authors: Kong, Y., Yang, L., Chen, C., Guan, Q., Du, G.
    Source: Measurement: Journal of the International Measurement Confederation
    Year: 2024
    Citations: 0

 

  • Discrete Cross-Modal Hashing with Relaxation and Label Semantic Guidance
    Authors: Teng, S., Huang, W., Wu, N., Zhang, W., Teng, L.
    Source: World Wide Web
    Year: 2024
    Citations: 0

 

  • A Product Fuzzy Convolutional Network for Detecting Driving Fatigue
    Authors: Du, G., Long, S., Li, C., Wang, Z., Liu, P.X.
    Source: IEEE Transactions on Cybernetics
    Year: 2023
    Citations: 11

 

  • An Emotion Recognition Method for Game Evaluation Based on Electroencephalogram
    Authors: Du, G., Zhou, W., Li, C., Li, D., Liu, P.X.
    Source: IEEE Transactions on Affective Computing
    Year: 2023
    Citations: 14

 

  • A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture
    Authors: Du, G., Li, Y., Su, K., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 2
  • A Mobile Natural Interactive Technique with Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks
    Authors: Du, G., Deng, Y., Li, C., Liu, P.X.
    Source: IEEE Transactions on Instrumentation and Measurement
    Year: 2023
    Citations: 6
  • A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS
    Authors: Du, G., Zhang, L., Su, K., Teng, S., Liu, P.X.
    Source: IEEE Transactions on Intelligent Transportation Systems
    Year: 2022
    Citations: 29

 

  • An Intelligent Interaction Framework for Teleoperation Based on Human-Machine Cooperation
    Authors: Du, G., Deng, Y., Ng, W.W.Y., Li, D.
    Source: IEEE Transactions on Human-Machine Systems
    Year: 2022
    Citations: 5

 

  • An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm
    Authors: Du, G., Yao, G., Li, C., Liu, P.
    Source: IEEE/ASME Transactions on Mechatronics
    Year: 2022
    Citations: 3

 

 

 

Ana Carretero Pérez | Health engineering | Best Researcher Award

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Ms.Ana Carretero Pérez | Health engineering | Best Researcher Award

Ms. Ana Carretero Pérez, Universidad Politécnica de Madrid, Spain

Ms. Ana Carretero Pérez is a distinguished academic at the Universidad Politécnica de Madrid in Spain, where she is recognized for her expertise in [specific field, if known]. With a robust background in [mention relevant research or teaching areas], Ms. Carretero Pérez has contributed significantly to [briefly mention notable achievements or projects]. Her work has been instrumental in advancing [specific research or field], and she continues to influence the academic and professional community through her dedication and innovative approach.

Summary:

Ana Carretero Pérez is a passionate and skilled engineer with a multidisciplinary approach to bioengineering and electronics. Her research on energy harvesting and EEG pattern detection, combined with practical experience in firmware development, positions her as a strong candidate for the Best Researcher Award. Her contributions are impactful, and her academic roles demonstrate her commitment to advancing her field.

Professional Profiles:

ORCID

Scopus

🎓 Education :

Doctorate in Electronic Systems Engineering (PhD student)
Universidad Politécnica de Madrid, 2019 – present
Research focuses on pattern detection in EEG with low resources and computational cost, including PCB development, Matlab Simulink, Python, and pattern algorithms.,Academic Tutor
Universidad Politécnica de Madrid, 2018 – present,Supervised 3 master’s theses and 2 end-of-degree projects, including the development of a low-cost wireless prosthetic arm and an electronic system for monitoring people’s parameters.,Master in Telecommunication Engineering | Bioengineering,Universidad Politécnica de Madrid, 2015 – 2018,Bachelor of Engineering in,Telecommunication Technologies and Services | Electronics,Universidad Politécnica de Madrid, 2011 – 2015

🏢 Experience:

Electronic Engineer,Securitas Direct Verisure, 2021 – present,Firmware engineer specializing in alarm logic development using C++,Researcher Engineer,B105 Electronic Systems Lab, Universidad Politécnica de Madrid, 2018 – 2020,Conducted research on energy harvesting techniques and power management for autonomous devices, resulting in a published MDPI article. Developed a PCB using Altium, C embedded, Eclipse, Cube, RTOS, Git, and SolidWorks. Engaged in target detection with laser projection control and web development using QuickShow, Visual Code, Visual Studio, HTML, CSS, JavaScript, C#, and React.,Technical Engineer,BQ, Las Rozas, Madrid, 2016 – 2018,Managed smartphone firmware related to sensors, graphics, performance, battery, and camera,issues. Utilized Jira, Gerrit, Git, Linux, C, C++, and Java for problem-solving and system,improvements.,Scholarship Assistant,Cátedra BQ, ETSIT-UPM, Madrid, 2015 – 2016,Developed Android graphics and drivers.

🛠️ Skills:

Problem-solving expertise,High adaptability and ambition,Strong work ethic,Proficient in software languages and hardware board development

🏆 Awards:

Awarded for contributions in research and development within the Electronic Systems Lab.,Recognized for outstanding performance and innovation in firmware engineering at Securitas Direct Verisure.

🔬 Research Focus:

Energy Harvesting Techniques and Power Management,Investigated and developed energy harvesting strategies for autonomous devices, contributing to,a published MDPI article.,Target Detection and Laser Projection Control
Explored advanced techniques for target detection and developed associated web applications.

Conclusion:

Ana Carretero Pérez’s blend of research experience, practical engineering skills, and academic involvement makes her a well-rounded candidate for the Best Researcher Award. With a few enhancements in publication impact and broader recognition, she could further solidify her standing as a leading researcher in her field.

Publications :

  1. Article:
    • Title: Design Decisions for Wearable EEG to Detect Motor Imagery Movements
    • Authors: Carretero, A., Araujo, A.
    • Source: Sensors
    • Year: 2024
    • Volume and Issue: 24(15), 4763

 

  1. Conference Paper:
    • Title: Analysis of Simple Algorithms for Motion Detection in Wearable Devices
    • Authors: Carretero, A., Araujo, A.
    • Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    • Year: 2022
    • Pages: 2410–2415

 

  1. Article:
    • Title: Autonomous Active Tag Using Energy Harvesting Strategies
    • Authors: Carretero, A., Real, S., Araujo, A.
    • Source: Applied Sciences (Switzerland)
    • Year: 2020
    • Volume and Issue: 10(15), 5260

 

Cesar Pena Fernandez | Robotics | Best Researcher Award

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Cesar Pena Fernandez | Robotics | Best Researcher Award

Researcher Professor at Federal Institute of Bahia, Brazil 

César Peña Fernández is a distinguished researcher and academic in the field of Electrical Engineering, with a particular focus on control systems, robotics, and computational modeling. Currently a faculty member at the Federal Institute of Bahia (IFBA) in Brazil, he has made significant contributions to both academia and research, including leading innovative projects that bridge the gap between technology and healthcare. His work has gained international recognition, and he is actively involved in collaborative research at the Technische Universität München in Germany.

Summary:

Dr. Peña Fernández has a robust educational background with a Ph.D. and a Master’s degree in Electrical Engineering from the Federal University of Bahia, Brazil, along with an undergraduate degree from Colombia.

Professional Profiles:

ORCID 

Google scholar

🎓 Education :

César Peña Fernández holds a Ph.D. in Electrical Engineering from the Federal University of Bahia (UFBA), Brazil, where he also earned his Master of Science degree in the same field. He completed his undergraduate studies in Electronic Engineering at the Universidad Autónoma de Occidente in Colombia, a qualification recognized by the Federal University of Minas Gerais (UFMG) in Brazil. His educational journey is further enriched by numerous certifications and continued education courses in areas such as industrial control, robotics, and computational modeling, showcasing his commitment to staying at the forefront of his discipline.

🏢 Experience:

Throughout his career, César Peña Fernández has held various academic and administrative roles. He started as a research assistant and teaching assistant at the Universidad Autónoma de Occidente in Colombia and later joined the Federal University of Bahia as a teaching assistant. Since 2013, he has been a professor at the Federal Institute of Bahia, where he has also served as the Coordinator of Research, Postgraduate Studies, and Innovation. His leadership roles include heading the research team GEASI and being a key member of several committees focused on research, curriculum development, and scientific events.

🛠️ Skills:

César Peña Fernández possesses a wide range of skills that are crucial for his research and teaching endeavors. These include expertise in control systems, robotics, and computational modeling, as well as proficiency in programming languages such as ROS (Robot Operating System) and tools like MATLAB. He is also skilled in industrial electronics, digital control, and embedded systems. His administrative capabilities are demonstrated by his successful leadership roles in various research teams and academic committees, where he has managed projects, developed regulatory frameworks, and coordinated scientific events.

🏆 Awards:

César Peña Fernández has received numerous awards and honors throughout his academic and professional career. Notable among these are the Best Paper Award at the IEEE Latin American Robotic Symposium and the National Merit for Best ECAES score in Colombia for Electronic Engineering. He has also been recognized for his excellence in teaching and research with awards such as the first place in the selection process for a professorship at IFBA and the highest grade in his probationary period at the same institution.

🔬 Research Focus:

César Peña Fernández’s research primarily revolves around control systems, robotics, and their applications in healthcare. He has worked on various high-impact projects, such as the DIFMOB project, which addresses performance criteria in robotic systems, and the IRSAVI project, focused on stability analysis in HIV-1 antiretroviral therapies. His research interests also include linear and non-linear modeling of dynamic systems, particularly in the context of wheeled mobile robots, aerial robots, and robotic manipulators. His work is characterized by a strong emphasis on innovation and interdisciplinary collaboration.

Conclusion:

Dr. César Peña Fernández is a highly qualified candidate for the Best Researcher Award. His extensive academic background, leadership in research, and numerous accolades make him a strong contender. However, increasing the broader societal impact of his work and enhancing his visibility in the global research community could further strengthen his case for the award.

Publications :

    1. Nonlinear trajectory tracking controller for wheeled mobile robots by using a flexible auxiliary law based on slipping and skidding variations
      Year: 2019
      Journal: Robotics and Autonomous Systems
      Citations: 17
      📅🤖
    2. Control de velocidad con compensación de deslizamiento en las ruedas de una base holonómica usando un neurocontrolador basado en el modelo NARMA-L2
      Year: 2009
      Journal: IX Congresso Brasileiro de Redes Neurais
      Citations: 10
      📅⚙️
    3. Control of wheeled mobile robots singularly perturbed by using the slipping and skidding variations: curvilinear coordinates approach (Part II)
      Year: 2015
      Journal: IFAC-PapersOnLine
      Citations: 8
      📅🚗
    4. Suitable control laws to path tracking in omnidirectional wheeled mobile robots supported by the measuring of the rolling performance
      Year: 2013
      Journal: XI Simpósio Brasileiro de Automação Inteligente-SBAI
      Citations: 7
      📅🛠️
    5. Designing a real-time artificial vision system for human interaction with an omnidirectional mobile platform
      Year: 2012
      Journal: 2012 Brazilian Robotics Symposium and Latin American Robotics Symposium
      Citations: 7
      📅👁️
    6. Identificação de uma base holonômica para robôs móveis com escorregamento nas rodas usando um modelo NARMAX polinomial
      Year: 2009
      Journal: 9th Brazilian Symposium on Intelligent Automation
      Citations: 7
      📅🔧
    7. Robotics
      Year: 2015
      Journal: Springer-Verlag (Chapter)
      Citations: 6
      📅📚
    8. Trajectory tracking control of nonholonomic wheeled mobile robots with slipping on curvilinear coordinates: a singular perturbation approach
      Year: 2014
      Journal: XX Congresso Brasileiro de Automática-CBA
      Citations: 6
      📅🚙
    9. Stabilizing model predictive control for wheeled mobile robots with linear parameter-varying and different time-scales
      Year: 2018
      Journal: Latin American Robotic Symposium & Brazilian Symposium on Robotics
      Citations: 5
      📅📈
    10. Control of flexible manipulator robots based on dynamic confined space of velocities: Dynamic programming approach
      Year: 2021
      Journal: Journal of Robotics and Control (JRC)
      Citations: 5
      📅🦾