Prof. Achim Lilienthal | LiDAR Perception | Research Excellence Award

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)

Assoc. Prof. Dr. Huseyin Erdal | Automation | Best Researcher Award

Assoc. Prof. Dr. Huseyin Erdal | Automation | Best Researcher Award

Assoc. Prof. Dr. Huseyin Erdal | Automation | Aksaray University | Turkey

Hüseyin Erdal, Ph.D., is an Associate Professor in the Department of Medical Genetics at the Faculty of Medicine, Aksaray University, with a specialization in molecular biochemistry, genetics, and biomedical research. He earned his Ph.D. in Molecular Biochemistry and Genetics from Hatay Mustafa Kemal University in 2019, focusing on thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease and hemodialysis patients. In addition, he holds two bachelor’s degrees: one in Chemistry and another in Economics from Anadolu University, complementing his interdisciplinary expertise. Professor Erdal began his academic career as a Research Assistant at Mustafa Kemal University, conducting studies in analytical chemistry and molecular sciences, before joining Aksaray University as an Assistant Professor and later being promoted to Associate Professor in 2023. His professional work spans molecular biochemistry, genetics, biomaterials, and therapeutic applications, emphasizing translational research that bridges fundamental molecular mechanisms with clinical implementation.

Professional Profile

Scopus

Google Scholar

Suitability Summary 

Prof. Hüseyin Erdal is a distinguished scientist whose exceptional contributions in molecular biochemistry, genetics, and biomedical research make him highly suitable for the Best Researcher Award. With a Ph.D. in Molecular Biochemistry and Genetics from Hatay Mustafa Kemal University (2019), his work has focused on critical areas such as dynamic thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease, demonstrating a strong commitment to understanding and addressing complex molecular mechanisms relevant to human health.

Education

  • Ph.D. in Molecular Biochemistry and Genetics, Hatay Mustafa Kemal University, 2019
    Thesis: “Dynamic thiol-disulfide balance and thioredoxin reductase enzyme levels in chronic kidney disease and thiol balance in hemodialysis”

  • Research experience at University of Florida, 2013

  • Bachelor’s Degree in Chemistry, Anadolu University (Open Education), 2017

  • Bachelor’s Degree in Economics, Anadolu University (Open Education), 2017

Work Experience

  • Associate Professor, Department of Medical Genetics, Faculty of Medicine, Aksaray University, August 2023 – Present

  • Assistant Professor, Department of Medical Genetics, Faculty of Medicine, Aksaray University, 2020 – 2023

  • Research Assistant, Department of Chemistry, Mustafa Kemal University, 2014 – 2020

Achievements

  • Supervised graduate research projects, including innovative studies on collagen-based composite films for wound healing

  • Conducted research in molecular biochemistry, genetics, biomaterials, and therapeutic applications

  • Expertise in laboratory methodologies, enzymology, biochemical assays, and translational research bridging molecular insights with clinical applications

Awards and Honors

  • Recognized for contributions to biomedical research and translational science through awards and academic distinctions

Publication Top Notes

  • Title: Oxidative stress and its impacts on intracellular lipids, proteins and DNA
    Authors: O. Özcan, H. Erdal, G. Çakırca, Z. Yönden
    Year: 2015
    Citations: 158

  • Title: Oxidative stress and its effects on intracellular lipid, protein and DNA structures
    Authors: O. Özcan, H. Erdal, G. Çakırca, Z. Yönden
    Year: 2015
    Citations: 122

  • Title: Cancer cell sensing and therapy using affinity tag-conjugated gold nanorods
    Authors: E. Yasun, H. Kang, H. Erdal, S. Cansiz, I. Ocsoy, Y.F. Huang, W. Tan
    Year: 2013
    Citations: 67

  • Title: The Effect of Pneumatic Tube Systems on the Hemolysis of Biochemistry Blood Samples
    Authors: G. Çakırca, H. Erdal
    Year: 2017
    Citations: 41

  • Title: Biomedical applications of polyglycolic acid (PGA)
    Authors: E. Göktürk, H. Erdal
    Year: 2017
    Citations: 32

  • Title: Plasma ischemia-modified albumin levels and dynamic thiol/disulfide balance in sickle cell disease: a case-control study
    Authors: O. Özcan, H. Erdal, G. İlhan, D. Demir, A.B. Gürpınar, S. Neşelioğlu, Ö. Erel
    Year: 2018
    Citations: 28

  • Title: Evaluation of thiol-disulfide balance in adolescents with vitamin B12 deficiency
    Authors: M.S. Demirtaş, H. Erdal
    Year: 2023
    Citations: 19

  • Title: Thiol/disulfide Homeostasis as a New Oxidative Stress Marker in Patients with Fabry Disease
    Authors: H. Erdal, F. Turgut
    Year: 2023
    Citations: 18

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award 

Dr. Mojtaba Ahmadieh khanesar | Metrology | University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham. He holds a Ph.D. in Control Engineering from K. N. Toosi University of Technology and has extensive experience in metrology, robotics, control systems, artificial intelligence, and machine learning. Throughout his career, Dr. Khanesar has contributed to internationally recognized projects funded by EPSRC, including Robodome imaging for high-performance aerostructures, HARISOM for precise industrial robot manipulation, and Chattyfactories for next-generation industrial systems, demonstrating proficiency in experimental design, data acquisition, and real-time control using advanced robotics platforms such as UR5, Baxter, Sawyer, and laser tracking systems. He has also supervised Ph.D. and undergraduate students, providing mentorship in control, robotics, and machine learning projects, and delivered lectures on Bayesian learning and reinforcement learning at the University of Nottingham. Dr. Khanesar has held research and teaching positions across Denmark, Turkey, Iran, and the United Kingdom, reflecting his global research engagement and collaborative approach. His research has been widely published, with 112 documents, 2,377 citations, and an h-index of 25, including publications in high-impact journals such as IEEE Transactions, Robotics, Mechanism and Machine Theory, and Sensors. His professional affiliations include SMIEEE, MIET, and MASME, highlighting his recognized standing in international technical communities.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Ahmadieh Khanesar, M. (2025). Inkjet printing of ZIF-67 based-polymer composite membranes. Separation and Purification Technology. 0 citations.

  2. Ahmadieh Khanesar, M. (2025). Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches. Robotics. 0 citations.

  3. Ahmadieh Khanesar, M. (2025). Virtual Instrument for a Multi-illumination Dome System. Conference Paper. 0 citations.

  4. Ahmadieh Khanesar, M. (2023). Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches. Sensors, Basel, Switzerland. 25 citations.

  5. Ahmadieh Khanesar, M. (2023). A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots. IEEE ASME Transactions on Mechatronics. 9 citations.

Prof. Dr JOSE LUIS PASQUEL REATEGUI | Robotics Award | Best Researcher Award

Prof. Dr JOSE LUIS PASQUEL REATEGUI | Robotics Award | Best Researcher Award

Prof. Dr JOSE LUIS PASQUEL REATEGUI, National University of San Martín, Peru

Dr. Pasquel Reátegui José Luis is a Peruvian researcher specializing in Food Engineering, with expertise in thermodynamics, transport phenomena, and advanced extraction techniques. He holds a Bachelor’s degree in Agroindustrial Engineering from the Universidad Nacional de San Martín (2008), a Master’s (2014), and a Ph.D. (2018) in Food Engineering from the Universidade Estadual de Campinas, Brazil. His research focuses on the valorization of agro-industrial residues, supercritical fluid extraction, ultrasound-assisted processes, emulsions, and encapsulation of bioactive compounds. He has conducted research stays at the University of Cádiz, Spain, and is an active member of Peru’s National System of Science, Technology, and Technological Innovation (SINACYT). Currently, he serves as the General Coordinator of the Agroindustrial Engineering and Technology Research Group (ITAG) at the Universidad Nacional de San Martín, where he also contributes as a co-investigator in various R&D projects.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Suitability of Pasquel Reátegui Jose Luis for the Best Researcher Award

Pasquel Reátegui José Luis is a strong candidate for the Best Researcher Award due to his extensive academic background, impactful research, and leadership roles. His expertise in food engineering, particularly in agroindustrial waste utilization and advanced extraction techniques, aligns with key research advancements in the field. With a Ph.D. from a top Brazilian university and multiple high-impact publications, his contributions to scientific literature are notable. Additionally, his leadership in research groups and administrative roles further demonstrate his dedication to advancing knowledge and innovation.

🎓 Education:

  • Ph.D. in Food Engineering – Universidade Estadual de Campinas, Brazil (2018)
  • M.Sc. in Food Engineering – Universidade Estadual de Campinas, Brazil (2014)
  • B.Sc. in Agroindustrial Engineering – Universidad Nacional de San Martín – Tarapoto, Peru (2008)
  • Research Stay – Universidad de Cádiz, Spain

💼 Work Experience:

  • General Coordinator – Research Group on Agroindustrial Engineering & Technology (Itag), Universidad Nacional de San Martín (2022 – Present) 👨‍🔬
  • Co-Investigator – Universidad Nacional de San Martín (2023 – Present) 🔬
  • Co-Investigator – Universidad Nacional Agraria la Molina (2022 – Present) 🏛️
  • Sub Coordinator (Administrative) – Pre-University Center, Universidad Nacional de San Martín (2024) 📚
  • Director – Research Institute, Universidad Nacional de San Martín (2023) 🏢
  • Committee Member – Safety and Health at Work, Universidad Nacional de San Martín (2023) ⚖️
  • Researcher – Asociación de Productores Diamante Verde (2021 – 2022) 🌱
  • Technical Team Member – Strategic Planning for R&D at Universidad Nacional de San Martín (2022) 📊
  • Committee Member – Research Unit, Universidad Nacional de San Martín (2022) 🧑‍🏫
  • Quality Committee Member – Universidad Nacional de San Martín (2022) ✅
  • Specialized Trainer – Strengthening Scientific Article Writing, Universidad Nacional de San Martín (2021) ✍️

🏆 Achievements & Contributions:

  • Recognized SINACYT Researcher in Science & Technology (Level V) 🔬
  • Expertise in Thermodynamics & Transport Phenomena in Food Engineering ⚛️
  • Specialized in Supercritical Fluid Extraction, Ultrasound, Emulsions & Encapsulation 🧪
  • Development & execution of multiple research projects in food engineering 🍏
  • Contribution to agro-industrial waste utilization for sustainability 🌿

🥇 Awards & Honors:

  • Recognized by CONCYTEC through Sub-Directorate Resolution No. 2285 (2018) 📜
  • Active Renacyt Researcher (P0039487, Level V) until 2025 🏅
  • Leadership in academic and industrial research collaborations 🏛️

Publication Top Notes:

Pressurized liquid extraction of bioactive compounds from blackberry (Rubus fruticosus L.) residues: a comparison with conventional methods

CITED:328

Extraction of antioxidant compounds from blackberry (Rubus sp.) bagasse using supercritical CO2 assisted by ultrasound

CITED:199

Phenolics and carotenoids recovery from agroindustrial mango waste using microwave‐assisted extraction: Extraction and modeling

CITED:23

Production of Copaiba oleoresin particles from emulsions stabilized with modified starches

CITED:16

Production of copaiba (Copaifera officinalis) oleoresin particles by supercritical fluid extraction of emulsions

CITED:12