Prof. Achim Lilienthal | LiDAR Perception | Research Excellence Award

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Prof. Achim Lilienthal | LiDAR Perception | Research Excellence Award 

Prof. Achim Lilienthal | LiDAR Perception | Technical University of Munich | Germany

Prof. Dr. Achim Josef Lilienthal earned his Ph.D. in Computer Science at the University of Tübingen (summa cum laude), following a diploma in Physics from the University of Konstanz. Over his distinguished career, Achim Josef Lilienthal has held leading academic and research-oriented roles across Europe and beyond, including his current appointment as Full Professor (W3), Chair of Perception for Intelligent Systems at the Technical University of Munich (TUM), and Deputy Director at the Munich Institute of Robotics and Machine Intelligence (MIRMI). He previously served as full professor at Örebro University, founding and directing the Mobile Robotics & Olfaction Lab, and has been a visiting professor at institutions such as Cornell University, as well as a consultant for industry including Bosch and robotics startups. His research interests span mobile robot olfaction (gas distribution mapping and gas source localization), 3D perception and SLAM (LiDAR/radar mapping, sensor fusion, localization), human–robot interaction (intention recognition, human-aware navigation), and eye-tracking–based AI systems for human–robot interaction, driver monitoring, and safety applications. He is skilled in robotics, sensor fusion, 3D mapping, machine learning, perception algorithms, gas-sensing robotics, human-robot interface design, and systems integration enabling development of autonomous intelligent systems capable of robust perception in complex, dynamic environments. Through a prolific publication record of over 300 peer-reviewed papers, supervision of 50+ PhD students, leadership of major EU research projects and startups, and securing substantial research funding, Achim Josef Lilienthal has made foundational contributions to the robotics and intelligent systems community  particularly gas-sensing robotics, safe human-machine interaction, and autonomous perception.

Professional Profiles: ORCID | Google Scholar | Scopus

Selected publications 

  • Lilienthal, A. J., & Duckett, T. (2007). Scan registration for autonomous mining vehicles using 3D-NDT. Journal of Field Robotics, 24(10), 803–827. (Citations: 951)

  • Triebel, R., Arras, K., Alami, R., Beyer, L., Breuers, S., Chatila, R., Chetouani, M., … & Lilienthal, A. J. (2016). Spencer: A socially aware service robot for passenger guidance and help in busy airports. Field and Service Robotics: Results of the 10th International Conference. (Citations: 364)

  • Magnusson, M., Nüchter, A., Lorken, C., & Lilienthal, A. J. (2009). Evaluation of 3D registration reliability and speed – A comparison of ICP and NDT. IEEE International Conference on Robotics and Automation (ICRA). (Citations: 348)

  • Valgren, C., & Lilienthal, A. J. (2010). SIFT, SURF & Seasons: Appearance-based Long-term Localization in Outdoor Environments. Robotics and Autonomous Systems, 58(2), 149–156. (Citations: 314)

  • Stoyanov, T., Magnusson, M., Andreasson, H., & Lilienthal, A. J. (2012). Fast and Accurate Scan Registration through Minimization of the Distance between Compact 3D NDT Representations. International Journal of Robotics Research, 31(12), 1377–1393. (Citations: 303)

  • Neumann, P. P., Hernández Bennetts, V., & Lilienthal, A. J. (2013). Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms. Advanced Robotics, 27(9), 725–738. (Citations: 270)

  • Lilienthal, A. J., & Duckett, T. (2004). Building gas concentration gridmaps with a mobile robot. Robotics and Autonomous Systems, 48(1), 3–16. (Citations: 210)

Dr. Yanan Ma | Tracking Awards | Best Researcher Award

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Dr. Yanan Ma | Tracking Awards | Best Researcher Award 

Dr. Yanan Ma, National Innovation Institute of Defense Technology, Academy of Military Sciences, China

Yanan Ma is currently serving as an Assistant Researcher at the National Innovation Institute of Defense Technology, Academy of Military Sciences. With a strong background in array signal processing, her research focuses primarily on direction-of-arrival (DOA) estimation and signal detection technologies, which have critical applications in radar, wireless communications, and satellite navigation. She has authored over ten peer-reviewed journal articles indexed in SCI and Scopus and holds five patents in related fields. With a citation index of 100, her contributions have significantly advanced the theoretical and applied aspects of DOA estimation. Yanan Ma continues to engage in cutting-edge research and innovation in signal processing.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Based on the provided information, Yanan Ma is a suitable and commendable candidate for the Best Researcher Award. As an Assistant Researcher at the National Innovation Institute of Defense Technology, affiliated with the Academy of Military Sciences, she demonstrates a focused and impactful research profile in array signal processing and direction-of-arrival (DOA) estimation, which are vital areas in modern defense, radar, and wireless communication systems.

🎓 Education & Academic Background

Yanan Ma holds a solid academic foundation in the field of array signal processing and related technologies, specializing in Direction-of-Arrival (DOA) estimation. With a strong technical education and focused research training, she has become a key contributor in advanced signal processing techniques applied to radar and communications.

💼 Work Experience

🔹 Assistant Researcher
📍 National Innovation Institute of Defense Technology, Academy of Military Sciences
🗓️ Current
Engaged in cutting-edge national defense projects, contributing extensively to research and implementation of DOA estimation algorithms and signal detection systems.

🏆 Achievements & Contributions

✅ Published 12 research papers in reputed journals (SCI, Scopus)
✅ Developed a DOA estimation algorithm applied in real-world defense projects
✅ Filed 5 patents on innovative signal processing methods
✅ Citation Index: 100+, showcasing influence in the field
✅ Active involvement in array signal processing projects with national importance
✅ Contributed to both completed and ongoing research in radar, wireless communication, and satellite navigation

🏅 Awards & Honors

🏆 Nominated for the Best Researcher Award
🌟 Recognized for her impactful work in array signal processing
📊 Highly cited researcher in a niche technical field
🚀 Selected for key national innovation projects

Publication Top Notes:

Multi-periodicity dependency Transformer based on spectrum offset for radio frequency fingerprint identification

Assist. Prof. Dr. Omid Mahdi Ebadati E | Autonomous Car | Best Researcher Award

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Assist. Prof. Dr. Omid Mahdi Ebadati E | Autonomous Car | Best Researcher Award 

Assist. Prof. Dr. Omid Mahdi Ebadati E, Kharazmi University, Iran

Dr. Omid Mahdi Ebadati E. is an Associate Professor of Computer Science in the Department of Operation Management and Information Technology at Kharazmi University, Iran. He serves as an Auditing Board Member at the university and sits on editorial boards including JIST and Anti-Poverty. A Senior Member of IEEE, he holds multiple professional certifications from Microsoft and Cisco. Dr. Ebadati earned his Ph.D. and Master’s degrees in Computer Science from Jamia Hamdard University, India, and a Bachelor’s degree from VMU, India. His academic interests span artificial intelligence, network security, data mining, and cybersecurity. Recognized with numerous national and international awards, he is actively involved in scientific cooperation and innovation.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Omid Mahdi Ebadati E. is highly suitable for the Best Researcher Award, given his extensive academic credentials, impactful publications across multidisciplinary domains, and multiple national honors recognizing his innovation, teaching excellence, and scientific leadership. His contributions to AI, cybersecurity, IoT, and sustainable smart city frameworks demonstrate both depth and societal relevance in research.

Education 🎓:

  • Ph.D. in Computer Science
    Jamia Hamdard University, New Delhi, India (2012)

  • Master’s Degree in Computer Science (First Division Student Award)
    Jamia Hamdard University, New Delhi, India (2008)

  • Bachelor’s Degree in Computer Application (First Class Award)
    VMU, Tamil Nadu, India (2006)

Work Experience 💼:

  • Associate Professor
    Department of Operation Management and Information Technology, Kharazmi University

  • Auditing Board Member
    Kharazmi University

  • Editorial Board Member
    JIST & Anti-Poverty

  • IEEE Senior Member
    IEEE Community

Teaching Subjects 📚:

  • Machine Learning 🤖

  • Artificial Intelligence & Metaheuristics Algorithm 🤖

  • Data Mining 📊

  • Advanced Information Systems 💻

  • Information Security Management System 🔒

  • Cyber Security, Ethics & Laws ⚖️

  • IT Fundamentals & Infrastructure 🖥️

  • e-Commerce Technologies 💳

  • Information Technology Management 📈

  • Enterprise Resource Planning 📊

  • Object-Oriented Programming 💻

Achievements 🏆:

  • Best National Research Project
    Kharazmi University, 2024

  • Suriya Award
    Top University in International Scientific Cooperation, Ministry of Science, Research and Technology, 2023

  • Best National Award in Cooperation with Society & Industry
    Ministry of Science, Research and Technology, 2023

  • Best National Research Project
    Kharazmi University, 2020

  • Best Teacher Award
    Kharazmi University, 2019

  • Top Entrepreneur Award
    Kharazmi University, 2019

  • Best Researcher Award
    University of Economic Sciences, 2014

Awards and Honors 🏅:

  • First Academic Achievement (Bachelor’s, Master’s, and Doctorate)
    Jamia Hamdard University, New Delhi, India (2007-2009)

  • Microsoft Certified Information Technology Professional (MCITP) 🌐

  • Microsoft Certified Systems Engineer (MCSE) 💻

  • Microsoft Certified Solutions Associate (MCSA) 💼

  • Cisco Certified Network Associate (CCNA) 🌐

  • Mindler International Certified Career Coach 🌍

Publication Top Notes:

Sensing, Communication with Efficient and Sustainable Energy: An IoT Framework for Smart Cities

A hybrid encryption algorithm for security enhancement of wireless sensor networks: A supervisory approach to pipelines

Cost estimation and prediction in construction projects: a systematic review on machine learning techniques

Prioritized Criteria for Casualty Distribution following Trauma-related Mass Incidents; a Modified Delphi Study

Prioritized Criteria for Casualty Distribution following Trauma-relatedMass Incidents; aModified Delphi Study