Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

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Dr. Tanushree Bhattacharjee | Emerging Technologies | Best Researcher Award

Dr. Tanushree Bhattacharjee, GRIDsentry Private Limited, India

Dr. Tanushree Bhattacharjee is a distinguished cybersecurity expert specializing in substation automation, OT security, and intrusion detection systems (IDS). With a Ph.D. in Electrical Engineering from Jamia Millia Islamia, she has over seven years of experience securing critical infrastructure. As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, she leads cutting-edge research in forensic analysis, deep packet inspection, and AI-powered threat modeling. Dr. Bhattacharjee has played a vital role in national and international cybersecurity testbeds, contributing to the advancement of IEC 61850, power grid security, and microgrid protection. Her expertise in AI/ML-based anomaly detection ensures the resilience of modern power systems. 🔐⚡

🌍 Professional Profile:

Google Scholar

Orcid

Scopus

🏆 Suitability for the Best Researcher Award 

Dr. Tanushree Bhattacharjee is an outstanding candidate for the Best Researcher Award, given her pioneering work in substation automation security and digital transformation. She has made significant contributions to intrusion detection, vulnerability assessment, and OT security in power grids. Her leadership in developing IDS/IPS solutions, coupled with her expertise in AI-powered anomaly detection, positions her as a key innovator in cyber-physical security. With a strong background in threat modeling, forensic analysis, and protocol security, her research directly impacts critical infrastructure protection. Her proven ability to bridge AI with cybersecurity makes her a deserving nominee for this prestigious recognition. 🏆🔍

🎓 Education

Dr. Tanushree Bhattacharjee holds a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi (2017-2022), where she focused on substation automation and microgrid protection. She completed her Master’s in Power Systems at the Indian Institute of Engineering Science & Technology, Shibpur (2012-2014). Her academic work involved IEC 61850 protocols, cybersecurity in digital substations, and AI-driven security frameworks. Through hands-on research in power system modeling, microgrid security, and forensic analysis, she has contributed to cybersecurity innovations in critical infrastructure. Her education has provided a robust foundation for her advancements in intrusion detection and digital protection strategies. 🎓⚡🔬

💼 Experience 

As Sr. R&D Manager at GRIDsentry Pvt. Ltd., Bengaluru, Dr. Bhattacharjee leads research on intrusion detection systems (IDS), AI-driven threat modeling, and forensic analysis. Previously, as a Product Manager, she specialized in deep packet inspection and anomaly detection. She also worked as a Power System Security Engineer, focusing on IPS/IDS development and OT cybersecurity. Her tenure at Jamia Millia Islamia involved substation automation, protocol security, and microgrid testing. With expertise in vulnerability assessments, access control, and live cybersecurity testing, she has significantly contributed to the security of modern power infrastructures. 🔒💡🚀

🏅 Awards & Honors 

Dr. Bhattacharjee has received multiple accolades for her contributions to power system cybersecurity. She has been recognized for her outstanding research in IDS and AI-driven security mechanisms. Her work on IEC 61850-based intrusion detection won Best Paper Awards at leading cybersecurity conferences. She has been acknowledged by cybersecurity organizations for her role in developing AI-based threat detection tools. Additionally, she has contributed to national security projects, earning commendation from government agencies and industry leaders. Her expertise in forensic analysis, digital substation security, and OT cybersecurity has positioned her as a trailblazer in the field. 🏆🔍⚡

🔬 Research Focus

Dr. Bhattacharjee’s research integrates emerging technologies with cybersecurity, focusing on power system protection, IEC 61850 protocols, and digital substation automation. Her expertise includes intrusion detection, AI-based anomaly detection, and forensic security analysis. She explores cyber-physical system security, ensuring resilience against DDoS, MITM, and replay attacks. Her work in deep learning for security event detection enhances smart grid protection. She also specializes in protocol security, AI-driven attack mitigation, and operational technology (OT) cybersecurity. Through machine learning, threat modeling, and real-time testing, her research aims to fortify modern power infrastructures against evolving cyber threats. 🛰️🔐⚙️

📖 Publication Top Notes

  1. Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation
    • Citations: 11
    • Year: 2022
  2. Planning of Renewable DGs for Distribution Network Considering Load Model: A Multi-Objective Approach
    • Citations: 9
    • Year: 2014
  1. Designing a Controller Circuit for Three-Phase Inverter in PV Application
    • Citations: 6
    • Year: 2018
  2. Digital Substations with the IEC 61850 Standard
    • Citations: 3
    • Year: 2021
  3. Power Quality Improvement of Grid Integrated Distributed Energy Resource Inverter
    • Citations: 2
    • Year: 2021

 

Mr. Runyi Yang | 3D and Robotics | Best Researcher Award

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Mr. Runyi Yang | 3D and Robotics | Best Researcher Award

Mr. Runyi Yang, Imperial College London, United Kingdom

Mr. Runyi Yang is a promising researcher specializing in computer vision, robotics, and artificial intelligence, currently pursuing a Ph.D. in Computer Vision and Robotics at INSAIT, Bulgaria, under the mentorship of Prof. Luc Van Gool and Dr. Danda Pani Paudel. He holds a Master of Research (MRes) in AI and Machine Learning from Imperial College London, where he focused on camera relocalization and uncertainty quantification. His research encompasses Neural Radiance Fields (NeRFs), Gaussian Splatting, 3D reconstruction, and scene understanding, with notable contributions that have led to state-of-the-art results on public datasets. Recognized with the CICAI 2023 Best Paper Runner-up Award and several accolades in AI, robotics, and mathematics competitions, Runyi is dedicated to enhancing performance and efficiency in 3D rendering and scene understanding.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

While Mr. Yang is still at an early stage in his career, his groundbreaking research in computer vision, robotics, and AI, along with his recognitions and publications, demonstrate his potential to become a leader in these fields. His expertise in NeRFs, 3D reconstruction, and autonomous driving simulation is highly relevant to modern technological challenges, making him a strong contender for the Best Researcher Award.

Education & Expertise:

Mr. Runyi Yang is a talented researcher with a focus on computer vision, robotics, and AI. He is pursuing a PhD in Computer Vision and Robotics at INSAIT, Bulgaria, under the guidance of Prof. Luc Van Gool and Dr. Danda Pani Paudel. He holds a Master of Research (MRes) in AI and Machine Learning from Imperial College London, where he worked on camera relocalization and uncertainty quantification.

Research Focus:

Runyi’s research spans Neural Radiance Fields (NeRFs), Gaussian Splatting, 3D reconstruction, and scene understanding. He has contributed to advancing 3D implicit representation and compositional zero-shot learning, achieving state-of-the-art results on public datasets.

Achievements & Honors:

He has been recognized with the CICAI 2023 Best Paper Runner-up Award and multiple other accolades in AI, robotics, and mathematics competitions.

Current Research Interests:

His interests include camera relocalization, NeRFs, and 3D vision, with a focus on improving performance and efficiency in 3D rendering and scene understanding.

Publication Top Notes:

  • “Mars: An instance-aware, modular and realistic simulator for autonomous driving”
    • Citations: 63
    • Published: 2023
  • “GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping”
    • Citations: 10
    • Published: 2024
  • “SUNDAE: Spectrally Pruned Gaussian Fields with Neural Compensation”
    • Citations: 4
    • Published: 2024
  • “City-scale continual neural semantic mapping with three-layer sampling and panoptic representation”
    • Citations: 4
    • Published: 2023
  • “Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences”
    • Citations: 2
    • Published: 2022

 

 

Dr. Josef Ponikelský | Robotics Awards | Best Researcher Award

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Dr. Josef Ponikelsky | Robotics Awards | Best Researcher Award

Dr. Josef Ponikelsky, Jan Evangelista Purkyne University in usti nad Labem, Czech Republic

Ing. Josef Ponikelský,  is a Product Manager at HENNLICH s.r.o., where he leads a robotics team and manages technical projects. He holds a Ph.D. in Engineering Technology from the University of J. E. Purkyně, Ústí nad Labem, where he also completed his Master’s degree in Production Management. His educational background includes a focus on engineering technology and a semester of study in Greece. With prior roles in various sectors, including fitness center management and CNC machine operation, Josef has extensive experience in technical and customer-oriented positions. His achievements include multiple publications in engineering journals, participation in international conferences, and a top placement in the 2020 KONA competition. His research interests lie in collaborative robots and their collision environments.

Professional Profile:

Scopus

Suitability for Best Researcher Award

Ing. Josef Ponikelský’s strong academic background, extensive research contributions, and practical experience in robotics and engineering make him an excellent candidate for the Best Researcher Award. His ongoing Ph.D. research, coupled with his significant publication record and industry achievements, underscores his impact on the field and his potential to drive further advancements in engineering technology.

🎓Educational background:

Ing. Josef Ponikelský pursued his Ph.D. in Engineering Technology at the University of J. E. Purkyně, Ústí nad Labem, from 2018 to the present. Prior to this, he completed his Master’s in Production Management at the same university, which also included a semester of study in Greece, from 2011 to 2018. He earned his diploma in Strojírenství CAD-CAM from Střední Průmyslová Škola, Teplice, from 2007 to 2011.

🏢work experience:

Ing. Josef Ponikelský has held various positions over the years, demonstrating a diverse range of experience. Since 2016, he has been a Product Manager at HENNLICH s.r.o., where he leads a robotics team, manages technical projects, develops the customer base, and creates technical and commercial offers. In 2015, he worked as a Coordinator at Randstad, s.r.o., focusing on employee care and client satisfaction for KS Kolbenschmidt Czech Republic a.s. From 2011 to 2015, he was a Fitness Center Attendant at Sluneta Fitness, managing client relations and maintaining equipment. In 2011, he worked as a Constructor at Výtahy Vaněrka s.r.o., designing elevators in 3D, creating drawings, and handling project documentation. Additionally, he operated CNC machines for piston machining and measurement at KS Kolbenschmidt Czech Republic a.s. in 2011, and managed package weighing and storage at PPL CZ s.r.o. from 2008 to 2011.

🏅Awards and achievements:

Ing. Josef Ponikelský has earned notable accolades and recognition in his field. In 2020, he achieved 1st place in the KONA JEDE NA VYSOKOU competition. He was also awarded in the Students’ Grant Competition SGS, FSI UJEP for the 2021–2022 period, where he conducted research on forces and pressures in collaborative robots. His scholarly contributions include multiple publications in prestigious engineering journals, such as Strojírenská Technologie, Manufacturing Technology, and Sensors, as well as several conference proceedings, totaling 11 articles.

Publication Top Notes:

  • Force and Pressure Dependent Asymmetric Workspace Research of a Collaborative Robot and Human
    • Citations: 1
  • Research of Robots in Cooperative Mode in Human Body Part Detection
    • Citations: 3

 

 

 

 

Ms. Yuanjiong Ying | Robotics Awards | Best Researcher Award

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Ms. Yuanjiong Ying | Robotics Awards | Best Researcher Award

Ms. Yuanjiong Ying, Shanghai Jiao Tong University, China

Ms. Yuanjiong Ying is an accomplished M.S. student in Robotics at Shanghai Jiao Tong University, where she also earned her B.S. in Mechanical Engineering, recognized with honors such as the Outstanding Graduate Award and Academic Scholarship. With extensive internship experience at Huawei’s 2012 Lab and JAKA Robotics Co., Ltd., she has developed advanced algorithms for autonomous driving and collaborative robotics. Her project leadership includes creating state estimation algorithms for UAVs in GPS-denied environments and developing a vision-inertial SLAM system, showcasing her expertise in robotics, visual perception, and autonomous systems.

Professional Profile:

Scopus

Suitability for the Award

Ms. Yuanjiong Ying is an outstanding candidate for the Best Researcher Award due to the following reasons:

  1. Academic Excellence:
    • Ms. Ying has consistently demonstrated academic excellence throughout her studies, maintaining a top GPA and earning numerous honors and awards. Her rigorous academic background in robotics and mechanical engineering, coupled with her performance at one of China’s top universities, positions her as a leading young researcher.
  2. Research Impact:
    • Despite her relatively early career stage, Ms. Ying has already made significant contributions to the field of robotics, evidenced by her authorship of key publications and patents. Her work on multi-view active sensing, collision-evaluation systems, and efficient moving horizon estimation has the potential to advance human-robot interaction, UAV localization, and collaborative robotics.
  3. Professional Experience:
    • Her internships at Huawei and JAKA Robotics provided her with practical experience in applying her research to real-world problems, particularly in autonomous driving and collaborative robotics. Her contributions to high-resolution visual representation and safety trajectory planning demonstrate her ability to translate complex theoretical concepts into practical applications.
  4. Leadership and Innovation:
    • Ms. Ying’s leadership roles in project management and her involvement in extracurricular activities reflect her ability to lead and innovate. Her experience in organizing significant university events also suggests strong organizational and interpersonal skills, which are critical for a successful research career.

Summary of Qualifications

  1. Education:

    • M.S. in Robotics (2022.09 – 2025.06), Shanghai Jiao Tong University:
      • GPA: 3.8/4.0, Top 10%.
    • B.S. in Mechanical Engineering (2018.09 – 2022.06), Shanghai Jiao Tong University:
      • GPA: 3.7/4.3, Top 15%.
      • Honors: Outstanding Graduate Award, Outstanding Student Leader Award, Academic Scholarship, Excellence Scholarship.

  2. Publications & Patents:

    • Authored and co-authored several impactful papers and patents, including:
      • “Multi-View Active Sensing for Human-Robot Interaction via Hierarchically Connected Tree” (1st Author, SNA).
      • “CEASE: Collision-Evaluation-based Active Sense System for Collaborative Robotic Arms” (2nd Author, TIM).
      • “A Computationally Efficient Moving Horizon Estimation for Flying Robots’ Localization Regarding a Single Anchor” (2nd Author, ROBIO).
      • Patents: Proactive Safety Protection Technology for Collaborative Robots, Active Vision Algorithm Based on Cylindrical Representation of Humanoid Obstacles, Design of a Decoupled Active Vision Mechanism Enclosure.

  3. Internship Experience:

    • Huawei 2012 Lab, Central Media Technology Institute (2024.06 – Present):
      • Worked on Autonomous Driving Algorithm as an intern, focusing on high-resolution visual representation for multimodal large models in autonomous parking scenarios.
    • JAKA Robotics Co., Ltd. (2023.02 – 2024.03):
      • Developed visual perception algorithms for collaborative robots, focusing on safety trajectory planning and proactive visual perception.

  4. Project Experience:

    • Flying Robots’ Localization Algorithms Based on Multi-Sensor Data Fusion:
      • Project Lead, developed state estimation algorithms for UAV positioning in GPS-denied environments.
    • UAV Simultaneous Localization and Mapping System Based on Vision-Inertial Sensors:
      • Developed a tightly-coupled SLAM system for UAV localization.

  5. Extracurricular Activities:

    • Director of Culture and Sports Center, Shanghai Jiao Tong University Student Union (2019.03 – 2022.03):
      • Organized significant events such as the Graduation Ceremony and Anniversary Celebration.

  6. Professional Skills:

    • Programming Languages: Python, C++, MATLAB.
    • Software: PyTorch, HuggingFace, ROS, MoveIt!, Gazebo, Rviz, Linux, Git, Solidworks, AutoCAD.
    • LLMs: Proficient in LLM principles and fine-tuning; Familiar with models like LLaVA, CLIP, LLaMA, InternVL.
    • Robotic Systems: Proficient in the full operation process of robots (perception, planning, control); Familiar with VINS-Fusion framework, multi-sensor data fusion, and multi-camera environmental perception.

Conclusion

Ms. Yuanjiong Ying is a highly suitable candidate for the Best Researcher Award. Her combination of academic excellence, impactful research, professional experience, and leadership qualities makes her an exceptional contender for this recognition. Her contributions to robotics, particularly in human-robot interaction and UAV localization, highlight her potential to become a leading researcher in her field.

 

 

Assoc Prof Dr. Duong Vu | Robotics Awards | Best Researcher Award

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Assoc Prof Dr. Duong Vu | Robotics Awards | Best Researcher Award

Assoc Prof Dr. Duong Vu, Duy Tan University, Vietnam

Dr. Duong Vu is a renowned academic and engineer at Duy Tan University, Vietnam, with a distinguished background in Mechanical Engineering and Commerce Management. He earned his undergraduate degree from Voroshilopgrad University of Machine-Building in the Soviet Union and a Ph.D. in Plasma Spraying Technology from State Saint-Petersburg University, Russia. Dr. Vu’s research expertise spans deformation and stress analysis in welding, mechatronics, robotics, and advanced manufacturing processes, including additive manufacturing and thermal spraying technology. He has received numerous awards, including the VIFOTEC Prize and medals from Vietnam’s Ministry of Science and Technology, reflecting his significant contributions to science and technology.

Professional Profile:

Google Scholar

🎓 Education:

Dr. Duong Vu is a distinguished academic and engineer with an extensive educational background. He earned his undergraduate degree in Mechanical Engineering from Voroshilopgrad University of Machine-Building in the Soviet Union (1974-1980). Dr. Vu furthered his education with a Bachelor of Commerce Management from Hanoi University of National Economy (1995-1998) and obtained a Ph.D. in Plasma Spraying Technology from State Saint-Petersburg University, Russia (1990-1993). His diverse academic pursuits reflect a strong foundation in both engineering and management.

🏅 Awards and Scholarships:

Dr. Duong Vu is a distinguished academic and researcher recognized for his exceptional contributions to science and technology. He earned an Outstanding Diplome and an Honorable Diplome from Voroshilopgrad University of Machine-Building for his academic excellence and research prowess. Dr. Vu has been awarded medals from the Ministry of Science and Technology and the Ministry of Industry and Commerce for his scientific and technological achievements. In 2016, he received the prestigious VIFOTEC Prize for designing an innovative automatic machine for packaging cable rolls. Additionally, Dr. Vu secured a government grant from Vietnam (2019-2020) to advance the commercialization of robots for welding quality inspection.

🔬 Research Interests:

Dr. Duong Vu is a distinguished researcher whose expertise encompasses a broad spectrum of advanced engineering disciplines. His research interests include the deformation and stress analysis in welding, the design and fabrication of antifrictional and bimetal materials, and the automatic control of production processes. He is also deeply involved in mechatronics, robotics, and the development of smart devices. Dr. Vu is at the forefront of additive manufacturing and thermal spraying technology, contributing to the advancement of materials and processes in these areas. His work in advanced manufacturing processes highlights his commitment to innovation and technological progress.

Publication Top Notes:

 

 

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

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Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Dr. Konstantinos A. Tsintotas, Democritus University of Thrace, Greece

Dr. Konstantinos A. Tsintotas is a highly educated individual with a Ph.D. in Robotics from Democritus University of Thrace, Greece, complemented by a diverse academic background including a Certificate of Pedagogical and Teaching Competence. His expertise extends across academia and industry, having served as an Adjunct Assistant Professor at the International Hellenic University and holding positions as a Researcher at both Democritus University and Aristotle University of Thessaloniki. With a strong foundation in mechatronics and automation engineering, Dr. Tsintotas is proficient in computer vision, electronics, and various programming languages such as Matlab and Python. His practical experience as an Automation Engineer further enhances his skill set, making him adept at problem-solving and fostering collaborative environments.

Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

Dr. Konstantinos A. Tsintotas holds a Ph.D. in Robotics from Democritus University of Thrace, Greece. He also earned a Certificate of Pedagogical and Teaching Competence from the School of Pedagogical and Technological Education in Kozani, Greece, a Master of Science in Mechatronics from the Technological Education Institute of Western Macedonia, and a Bachelor of Science in Automation Engineering from the Technological Education Institute of Chalkida. Additionally, he holds a Certificate of Competency in English from The University of Michigan, Ann Arbor.

👨‍🏫 Academia:

Dr. Tsintotas has served as an Adjunct Assistant Professor at the International Hellenic University in Serres and as an Adjunct Lecturer at the International Hellenic University in Katerini.

📚 Research Focus:

Dr. Tsintotas is a leading researcher in the dynamic field of mobile robotics 🤖 With a focus on autonomous systems, his work pushes the boundaries of innovation in visual-based navigation and place recognition 🌐 His contributions pave the way for safer and more efficient autonomous vehicles and robotic systems, shaping the future of technology and exploration 🚀

🔬 Research Experience:

Currently, he is engaged as a Postdoctoral Researcher at Democritus University of Thrace. Previously, he held positions as a Researcher and Teaching Assistant at the same university and as a Researcher at Aristotle University of Thessaloniki. Dr. Tsintotas also has practical experience as an Automation Engineer at Zalikas – Liontas construction company and as an Automation Engineer Intern at COOPER Industries – Menvier Univel Ltd.

💻 Skills:

Dr. Tsintotas is proficient in computer vision, electronics, and data analysis & visualization. He is skilled in programming languages such as Matlab, Python, HTML, and Ladder. His soft skills include analytical & critical thinking, creativity, productivity, and being a team player.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 36 documents indexed in Scopus.
  • 📊 Citations: A total of 430 citations for his publications, reflecting the widespread impact and recognition of Dr. Tsintotas’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 586 📖
    • h-index: 15  📊
    • i10-index: 19 🔍
  • Since 2018:
    • Citations: 584 📖
    • h-index: 15 📊
    • i10-index: 19 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publication Top Notes:

 

 

 

 

Dr. Edgar Martinez-Garcia | Cibernetic Robotics Award | Best Researcher Award

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Dr. Edgar Martinez-Garcia | Cibernetic Robotics Award | Best Researcher Award

Dr. Edgar Martinez-Garcia, Universidad Autonoma de Ciudad Juarez, Mexico

Dr. Edgar Martinez-Garcia is an esteemed academic with a rich background in engineering and a passion for robotics 🤖. Holding a PhD in Advanced Engineering Systems from the University of Tsukuba, Japan, and master’s and bachelor’s degrees from Instituto Tecnológico de Chihuahua and the University of Chihuahua, respectively, he has garnered numerous accolades, including distinctions in the National Research System and Best Paper Awards at international conferences 🏅. As a Full Professor at Universidad Autónoma de Cd. Juárez, he has made significant contributions to the field, serving as the Founder and Director of the Robotics Laboratory and excelling in teaching and curriculum development. His research interests span mobile robotics, cybernetic robotics, and sensor fusion, showcasing his dedication to advancing the frontier of robotics technology 🎓.

Professional Profile:

Scopus

Orcid

Google Scholar

📚 Education:

PhD in Advanced Engineering Systems, University of Tsukuba, Japan (2001-2005)
Master Degree of Science in Electrical Engineering, Instituto Tecnológico de Chihuahua, Mexico (1996-1998)
Bachelor of Engineering in Computer Engineering Systems, University of Chihuahua, Mexico (1996)

🏅 Awards and Honors:

  • Awarded Distinction SN1-1 in the National Research System by the National Council of Science and Technology
  • Recipient of Best Paper Awards at international conferences
  • Recognized as the best professor in the Department of Industrial and Manufacturing Engineering
  • Honored with prestigious scholarships and appointments for academic excellence and research contributions

👨‍🏫 Academic Experience:

  • Full Professor at Universidad Autónoma de Cd. Juárez since 2007
  • Founder and Director of the Robotics Laboratory
  • Organized seminars and served as an academic editor for journals and books
  • Taught various courses in robotics, control, sensing, and perception

📝 Certifications:

Attained Curriculum Certification in the Pedagogical Model three consecutive times

🤖 Research Interests:

Mobile robotics, Cybernetic robotics, Robot modeling and control, Scientific computing, Sensor fusion

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 80 documents indexed in Scopus.
  • 📊 Citations: A total of 318 citations for his publications, reflecting the widespread impact and recognition of Dr. Edgar Martinez-Garcia’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 555 📖
    • h-index: 13  📊
    • i10-index: 19 🔍
  • Since 2018:
    • Citations: 351 📖
    • h-index: 10 📊
    • i10-index: 11 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :