Assoc. Prof. Dr. Bülent IŞIK – Medicine – Best Researcher Award

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Assoc. Prof. Dr. Bülent IŞIK - Medicine - Best Researcher Award

Karamanoğlu Mehmetbey University - Turkey

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Summary

Assoc. Prof. Dr. Bülent Işık is a multidisciplinary academic whose expertise spans physiology, sports medicine, and technology-enhanced health monitoring. beginning with a solid medical foundation and a specialized doctoral focus on cardiac markers in athletes, he has steadily advanced his career through academic appointments and impactful research. his projects often integrate modern techniques like machine learning, 3d motion capture, and physiological signal analysis—many of which intersect with power electronics, especially in the realm of intelligent sensing and performance evaluation. he has also made significant contributions to graduate education and national science outreach through tubitak-supported initiatives.

Early academic pursuits

Bülent Işık began his academic journey with a medical degree from selçuk university, meram school of medicine, completed in june 1998. his pursuit of specialized knowledge led him to earn a doctoral degree in physiology from necmettin erbakan university in 2015. his phd thesis, supervised by yrd. doç. dr. zülfikare ışık solak görmüş, explored a novel marker—t peak-t end—for assessing cardiac changes and arrhythmia potential in active and veteran elite cyclists. this early research focus on Medicine, sports physiology laid the foundation for a career that integrates health sciences with cutting-edge biomedical approaches, occasionally aligning with adjacent fields such as power electronics in sensor-based physiological monitoring.

Professional endeavors

Dr. Işık has held multiple academic appointments at karamanoğlu mehmetbey university, advancing from assistant professor to associate professor in both the departments of physiology and sports medicine. his cross-disciplinary Medicine teaching and research underscore his dual focus on internal medicine and basic health sciences. he has also served as a supervisor for master's theses addressing anthropometric and motoric characteristics in adolescents and biomechanical factors in youth athletes.

Contributions and research focus

His research contributions are extensive and deeply rooted in performance physiology, sports science, and sensor technology. he has actively participated in and led numerous scientific research projects. these include studies on cardiac markers in cyclists, the immune effects of intense weightlifting, and the use of 3d cameras and machine learning in olympic weightlifting performance analysis. of particular note is his involvement in studies that leverage advanced sensor networks and computational tools, Medicine areas increasingly overlapping with power electronics, especially in the development of intelligent monitoring systems and biomedical interfaces.

Impact and influence

Dr. Işık’s interdisciplinary approach has allowed him to bridge gaps between physiology, sports medicine, and emerging technologies. through projects supported by national institutions such as tubitak, he has worked on initiatives promoting stem education and youth engagement in science. his work with elite athletes, machine learning applications, Medicine and sensor-driven performance analysis has impacted both academic circles and practical training environments.

Academic cites

Among the academic community, his supervision of completed theses and contributions to ongoing national research projects have earned him recognition. he is frequently cited in areas concerning sports biomechanics, cardiac physiology, and educational innovation in science. as technologies like wearable bio-sensing and real-time data analytics—often powered by Medicine systems rooted in power electronics—advance, dr. ışık's work stands to gain further academic and industry relevance.

Legacy and future contributions

Dr. Bülent Işık continues to shape the future of health science and sports physiology through innovative projects involving artificial intelligence, bioimpedance techniques, and interdisciplinary collaboration. his current projects focus on integrating machine learning with kinematic assessments and physiological data, offering promising avenues for future diagnostics and performance monitoring. his legacy will likely rest on a blend of academic rigor, real-world application, and his vision for Medicine leveraging technology—including computational tools and energy-efficient sensor systems—to advance human health and performance.

Notable Publications

  1. Title: The Effects of Acute Moderate Intensity Training on Hematological Parameters in Elite Para-Badminton Athletes
    Authors: Erdoğdu, M.; Yüksel, M.F.; Işık, B.; Boyalı, E.; Erdağı, K.; Sevindi, T.
    Journal: Journal of Men's Health
    Year: 2022
  2. Title: The Study of the Cross-Sectional Areas of the Gluteal Muscles on Magnetic Resonance Images of the Weightlifting Athletes
    Authors: Erdağı, K.; Işık, B.
    Journal: Progress in Nutrition
    Year: 2021
  3. Title: The Presence of Musculus Psoas Minor in Weightlifting Athletes of the Olympic Preparation Center
    Authors: Erdağı, K.; Poyraz, N.; Aslan, H.; Işık, B.; Bahar, S.
    Journal: Universal Journal of Educational Research
    Year: 2018

Conclusion

Dr. Işık's career reflects a commitment to combining clinical insight with technological innovation, making him a key figure in bridging traditional medical sciences and emerging tools like ai-driven monitoring and bioimpedance. his ongoing work continues to influence the fields of sports science and human performance assessment. as power electronics and computational methods evolve, his interdisciplinary research is well-positioned to contribute to the future of smart health systems and advanced physiological diagnostics.

Dr. Christian Seebauer – Real-Time Robotic Control – Best Researcher Award

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Dr. Christian Seebauer - Real-Time Robotic Control - Best Researcher Award

Department of Oral and Maxillofacial Surgery / Plastic surgery, University Medicine Lübeck - Germany

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Summary

Dr. Christian Seebauer is a distinguished medical and dental professional with dual qualifications in medicine and dentistry, complemented by specialist certifications in oral and maxillofacial surgery, oral surgery, and an upcoming qualification in plastic and aesthetic surgery. his academic journey spans prestigious institutions such as the friedrich-schiller-university jena, charité berlin, and university medical center greifswald. professionally, he has advanced from resident roles to senior consultant and managing senior consultant positions at leading german medical centers.

Early academic pursuits

Dr. Christian Seebauer began his academic career with a strong focus on medical sciences, enrolling in the friedrich-schiller-university jena in 1999. after completing his medical studies with distinction in 2006 (grade: very good), he pursued further specialization in dentistry at the ernst-moritz-arndt-university greifswald, obtaining his dental license in 2015, again with excellent academic standing. Real-Time Robotic Control these formative years laid a robust interdisciplinary foundation, blending medicine and dentistry—an essential duality for a successful career in oral and maxillofacial surgery.

Professional endeavors

Dr. Seebauer's professional journey reflects a steady rise through academic and clinical ranks. from his initial residency at charité – university medical center berlin in 2007 to his current role as a senior consultant at the university medical center lübeck (starting august 2024), he has consistently taken on increasing responsibilities. Real-Time Robotic Control notable leadership roles include managing senior consultant at greifswald and extended tenures at top-tier institutions. his board certifications in oral and maxillofacial surgery and oral surgery, combined with an upcoming specialization in plastic and aesthetic surgery, demonstrate a comprehensive skill set, bridging surgical precision with cosmetic refinement.

Contributions and research focus

Dr. Seebauer’s research interests span clinical innovation, reconstructive surgery, and interdisciplinary methods that often intersect with emerging technologies such as plasma science and power electronics in biomedical applications. his affiliation with the leibniz institute for plasma science and technology from 2015 to 2019 reflects a commitment to translational research aimed at Real-Time Robotic Control advancing surgical tools and techniques. he is also deeply engaged in integrating power electronics for precision-guided surgery and tissue regeneration processes, showcasing a futuristic approach to facial reconstruction.

Impact and influence

Dr. Seebauer has earned the respect of peers and institutions alike, evidenced by his summa cum laude doctorate in medicine from charité – berlin, and his upcoming dental doctorate and habilitation at lübeck. beyond clinical practice, he contributes to shaping surgical standards and mentoring younger professionals in the field. his interdisciplinary expertise is not only academically admired but also Real-Time Robotic Control clinically impactful, especially in complex reconstructive procedures where high-precision outcomes are crucial.

Academic cites

His scholarly footprint is backed by active roles in major german university hospitals and research institutions over the last two decades. while his formal publication and citation record will likely grow following his habilitationsschrift (habilitation thesis) completion, his influence is already recognized through participation in institutional research initiatives and conferences. his cross-disciplinary work with power Real-Time Robotic Control electronics and surgery places him among those exploring the frontier of med-tech convergence.

Legacy and future contributions

Dr. Christian Seebauer’s career trajectory indicates a lasting contribution to oral and maxillofacial surgery, with planned academic milestones such as his habilitation and continued research output. his efforts to integrate power electronics into surgical applications position him to be a leader in next-gen surgical systems, where robotics, sensors, Real-Time Robotic Control and micro-precision tools will redefine patient outcomes. in mentoring, innovation, and surgical excellence, his legacy will likely influence the evolving landscape of facial and cranial surgery in both academic and applied domains.

Notable Publications

  1. Title: Influence of Anticoagulant Concomitant Medication on Wound Healing: Analysis of a Multicentre Cohort of 212 Patients with a Uniform Wound Model
    Authors: Christian Seebauer, Fares Hanafieh, Jan Wolff, Hans‐Robert Metelmann, Marcus Vollmer
    Journal: British Journal of Clinical Pharmacology

  2. Title: Pulmonary Metastasising Aneurysmal Fibrous Histiocytoma: A Case Report, Literature Review and Proposal of Standardised Diagnostic Criteria
    Authors: Fiona Mankertz, Rebecca Keßler, Andrea Rau, Christian Seebauer, Silvia Ribback, Alexandra Busemann
    Journal: Diseases

  3. Title: Effects of Cold Physical Plasma on Oral Lichen Planus: An In Vitro Study (Effects of CAP on OLP)
    Authors: Christian Seebauer, Eric Freund, Sybille Hasse, Vandana Miller, Maria Segebarth, Christian Lucas, Stefan Kindler, Tobias Dieke, Hans‐Robert Metelmann, Georg Daeschlein, et al.
    Journal: Oral Diseases

  4. Title: Prevalence and Risk Factors of Potentially Malignant Disorders of the Mucosa in the General Population
    Authors: Stefan Kindler, Stefanie Samietz, Steffen Dickel, Maria Mksoud, Thomas Kocher, Christian Lucas, Christian Seebauer, Philine Doberschütz, Birte Holtfreter, Henry Völzke, et al.
    Journal: Annals of Anatomy – Anatomischer Anzeiger

Conclusion

Dr. Seebauer's career reflects a rare blend of surgical excellence, academic rigor, and technological innovation. His leadership roles and scholarly endeavors position him as a future thought leader in oral and maxillofacial surgery, with a strong focus on integrating modern tools like power electronics to revolutionize patient care. as he approaches key milestones—such as the completion of his dental doctorate and habilitation—his influence is set to expand both in clinical practice and academic research. his legacy will likely be defined by his contributions to surgical innovation, mentorship, and the convergence of medicine with cutting-edge technologies.

Assist. Prof. Dr. Ghulam Farid – Reinforcement Learning in Robotics – Best Researcher Award

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Assist. Prof. Dr. Ghulam Farid - Reinforcement Learning in Robotics - Best Researcher Award

Harbin Engineering University - China

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Summary

Dr. Ghulam Farid is a robotics and control systems expert with a Ph.D. from Harbin Engineering University, China, specializing in aerial robotics. With six years of teaching and research experience at COMSATS University Islamabad and current postdoctoral work at HEU, he focuses on reinforcement learning-based motion planning and control. He has published over 30 research papers and contributes significantly to integrating artificial intelligence with robotics, particularly through the use of power electronics. His work bridges theory and real-world application, enhancing the development of intelligent, energy-efficient robotic systems.

Early academic pursuits

Ghulam Farid began his academic journey with a deep interest in automation and intelligent systems. His passion led him to pursue a Ph.D. in Control Science and Engineering from the College of Automation at Harbin Engineering University (HEU), China, which he successfully completed in 2018. During his doctoral studies, he focused on Reinforcement Learning in Robotics control and motion planning in aerial robotics, laying a strong foundation in system modeling, optimization, and power electronics, which later influenced his research trajectory.

Professional endeavors

Following the completion of his doctorate, Ghulam Farid served as an assistant professor at COMSATS University Islamabad, Pakistan, for six years. During this time, he was actively involved in teaching, mentoring students, and initiating research projects. His career later progressed with his return to HEU, where he is currently contributing Reinforcement Learning in Robotics as a postdoctoral fellow in the College of Intelligent Systems Science and Engineering. His current academic environment further supports his development in robotics and embedded systems enhanced by power electronics techniques.

Contributions and research focus

Dr. Farid’s research centers on robotics, particularly in reinforcement learning-based motion planning and control systems. His work involves integrating artificial intelligence algorithms with practical robotic applications, including autonomous navigation, dynamic environment adaptation, and efficient energy management systems. His contributions also extend to the design of intelligent controllers for unmanned systems, with an emphasis on system stability and Reinforcement Learning in Robotics performance improvements using modern control strategies and power electronics integration.

Impact and influence

With over 30 published papers in reputed international journals and conferences, Ghulam Farid has significantly impacted the robotics and control engineering community. His findings contribute to advancing smart robotic systems capable of self-learning and adaptation. He has been a sought-after collaborator in interdisciplinary projects, Reinforcement Learning in Robotics combining control systems, AI, and electrical engineering concepts, further emphasizing his influence in academia and applied research.

Academic cites

Dr. Farid’s scholarly output has gained increasing recognition, with citations reflecting the relevance and applicability of his work in various domains such as aerial robotics, autonomous systems, and intelligent control. His integration of reinforcement learning in robotic systems and his ability to link theoretical frameworks to practical applications are Reinforcement Learning in Robotics often referenced by researchers developing intelligent automation solutions.

Legacy and future contributions

As a dedicated researcher and educator, Ghulam Farid is positioned to leave a lasting legacy in the field of robotics and intelligent control systems. His ongoing projects aim to enhance robotic autonomy, develop smart collaborative machines, and improve energy-efficient designs using advanced power electronics solutions. In the future, he plans to lead Reinforcement Learning in Robotics large-scale interdisciplinary research initiatives and continue mentoring emerging scholars in the field of automation and control engineering.

Notable Publications

  1. Title: Nonlinear and Adaptive Intelligent Control Techniques for Quadrotor UAV – A Survey
    Authors: H. Mo, G. Farid
    Journal: Asian Journal of Control
    Year: 2019
  2. Title: Modified A-Star (A) Approach to Plan the Motion of a Quadrotor UAV in Three-Dimensional Obstacle-Cluttered Environment*
    Authors: G. Farid, S. Cocuzza, T. Younas, A. A. Razzaqi, W. A. Wattoo, F. Cannella, H. Mo
    Journal: Applied Sciences
    Year: 2022
  3. Title: A Review on Linear and Nonlinear Control Techniques for Position and Attitude Control of a Quadrotor
    Authors: G. Farid, M. Hongwei, S. M. Ali, Q. Liwei
    Journal: Control and Intelligent Systems
    Year: 2017
  4. Title: A Review on Optimal Placement of Sensors for Cooperative Localization of AUVs
    Authors: X. Bo, A. A. Razzaqi, G. Farid
    Journal: Journal of Sensors
    Year: 2019
  5. Title: Optimal Geometric Configuration of Sensors for Received Signal Strength-Based Cooperative Localization of Submerged AUVs
    Authors: X. Bo, A. A. Razzaqi, X. Wang, G. Farid
    Journal: Ocean Engineering
    Year: 2020

Conclusion

Dr. Farid’s journey reflects a strong commitment to advancing the fields of robotics and intelligent control systems. His contributions are shaping the next generation of autonomous machines, with a clear focus on innovation, energy efficiency, and real-time learning. Through continued research, international collaboration, and the integration of cutting-edge technologies like power electronics, he is well-positioned to leave a lasting academic and technological legacy in robotics and automation.

Dr. Chitradevi D – Health Informatics – Best Researcher Award

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Dr. Chitradevi D - Health Informatics - Best Researcher Award

SRM Institute of Science and Technology - India

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Summary

Dr. Chitradevi D. is a seasoned academician with over 18 years of experience in engineering education and 2 years in the IT industry. She holds a Ph.D. in Computer Science and Engineering and has a strong academic background, including an M.E. with a university rank. She has worked extensively in teaching, research, and academic administration. Her research interests include digital image processing, biomedical engineering, machine learning, deep learning, and optimization techniques. She has guided numerous postgraduate projects and handled a wide range of technical subjects such as artificial intelligence, Python, Java, and data structures.

Her leadership roles include contributions to NAAC, IQAC, convocation committees, and curriculum development, while also serving as an examiner and validation committee member across institutions. She has also incorporated modern technologies like power electronics into computing systems, especially in embedded applications and smart solutions.

Early academic pursuits

Dr. Chitradevi D. began her academic journey with a strong foundation in the sciences, earning a B.Sc. in Chemistry from Holy Cross College in 1999 with a commendable 76%. She later shifted her focus to computing, pursuing a Master of Computer Applications (MCA) at the same institution, achieving 78% in 2002. Her academic excellence continued as she completed her M.E. in Computer Science from Hindustan College of Engineering (Anna University), securing the 15th University Rank in 2009. Her passion for computer science culminated in a Ph.D. in Computer Science and Engineering from Hindustan Institute of Technology and Science (HITS) in 2020. This educational trajectory, grounded in both theory and application, has played a vital role in shaping her Health Informatics contributions to teaching and research in emerging areas, including power electronics applications in embedded systems.

Professional endeavors

With over 18 years of academic experience, Dr. Chitradevi has held various key roles in renowned institutions. She currently serves as an Associate Professor at SRM Institute of Science and Technology, Trichy. Her earlier appointments include a long-standing tenure at Hindustan Institute of Technology and Science (2006–2023) and a prior role at Pavendar Bharathidasan College of Engineering. Complementing her academic journey is 2 years of IT industry experience, where she worked as a Health Informatics Software Programmer at Techzone Software Solutions and Jine Infotech. Her real-world experience continues to inform her teaching, particularly in programming, database systems, and digital systems integrated with power electronics.

Contributions and research focus

Dr. Chitradevi has made remarkable contributions in both academic coordination and research. She has handled a wide spectrum of subjects, including Artificial Intelligence, Data Science, Java, Python, Distributed Systems, and Design Thinking. She has actively guided postgraduate research projects in areas such as digital image processing, biomedical engineering, and machine learning. Her Ph.D. research primarily revolved Health Informatics around optimization techniques, artificial intelligence, and deep learning models — with applications spanning from bio-medical diagnostics to image recognition. Her involvement in newsletter editing, exam evaluation, NAAC, IQAC, and government-conducted exams reflects her holistic commitment to institutional excellence.

Impact and influence

Dr. Chitradevi's influence extends beyond her classroom. She has actively contributed to institutional development by holding various administrative and academic responsibilities — including Research Coordinator, IQAC & NAAC Coordinator, Convocation Committee Head, and more. Her contributions to organizing events like Millet Mela (Government Initiative) highlight her interest in community outreach. Furthermore, her leadership in curriculum design, examination validation, and faculty development has Health Informatics significantly impacted academic governance. Her academic service also includes acting as an Examiner for Anna University and Hindustan University, directly influencing quality assurance in technical education.

Academic cites and recognitions

Her role in academia has been backed by citations and validations from recognized bodies. Dr. Chitradevi has served as an examiner at both internal and external levels, contributed to central evaluation work, and actively participated in question paper validation committees. She has worked closely with governing boards in both university-level assessments and government service examinations, Health Informatics earning a reputation for diligence and expertise. These contributions ensure that the outcomes of examinations and course content uphold academic standards across institutions.

Legacy and future contributions

Dr. Chitradevi’s legacy lies in her commitment to developing technically sound and ethically responsible graduates. She continues to focus on mentoring students in advanced domains like machine learning, artificial intelligence, and digital optimization. In the coming years, she aims to further her research and academic output, particularly by integrating power electronics into interdisciplinary Health Informatics computing applications — such as energy-efficient embedded systems and smart automation. Her dedication to collaborative growth and knowledge dissemination places her at the forefront of innovation-driven education.

Notable Publications

  1. Title: MR Brain Screening using Optimization Techniques – A Survey
    Authors: Chitradevi, D.; Prabha, S.
    Journal: Current Medical Imaging
    Year: 2023
  2. Title: Hybrid Whale and Gray Wolf Deep Learning Optimization Algorithm for Prediction of Alzheimer’s Disease
    Authors: Chitradevi D, Sathish Kumar Mani, Sandeep Kumar M, Senthilkumar Mohan, Prabhu Jayagopal, Saurav Mallik, Hong Qin
    Journal: Mathematics
  3. Title: Academic Performance Prediction Using Machine Learning: A Comprehensive & Systematic Review
    Authors: Chakrapani, P.; Chitradevi, D.
    Conference: International Conference on Electronic Systems and Intelligent Computing (ICESIC)
    Year: 2022
  4. Title: Predictive Analytics of Road Accidents Using Machine Learning
    Authors: Kaliraja, C.; Chitradevi, D.; Rajan, A.
    Conference: International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
    Year: 2022
  5. Title: Simulation of Machine Learning Techniques to Predict Academic Performance
    Authors: Chakrapani, P.; Chitradevi, D.
    Conference: International Conference on Electronic Systems and Intelligent Computing (ICESIC)
    Year: 2022

Conclusion

Dr. Chitradevi's career reflects a blend of academic excellence, technical depth, and administrative leadership. Her multifaceted contributions have significantly impacted both students and institutional frameworks. With a research-driven mindset and a future-oriented vision, she continues to integrate power electronics with intelligent computing to develop advanced educational and research practices. Her work not only strengthens the academic community but also paves the way for innovative interdisciplinary solutions in engineering and technology.

Dr. Lanxiang Zheng – Mobile Robotics Systems – Best Researcher Award

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Dr. Lanxiang Zheng - Mobile Robotics Systems - Best Researcher Award

China United Network Communications Co., Ltd. Guangdong Branch - China

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Summary

Lanxiang Zheng is an accomplished ai technology director with a strong academic foundation rooted in computer science and robotics. after earning his ph.d. from sun yat-sen university, he dedicated his career to advancing research in distributed control, uav swarm planning, and multi-robot exploration. professionally, he leads innovations at china united network communications co., ltd. guangdong branch, applying theoretical research to real-world ai systems. his work uniquely combines intelligent robotics with power electronics, enhancing system efficiency and control. he is a recognized reviewer for major robotics journals and conferences, contributing significantly to the academic community.

Early academic pursuits

Lanxiang Zheng began his academic journey with a strong focus on computer science, eventually earning a ph.d. from sun yat-sen university. during his formative years, he developed deep expertise in distributed systems and intelligent control algorithms. his academic foundation laid the groundwork for his later contributions in the fields of multi-robot exploration and Mobile Robotics Systems uav swarm planning. even during this phase, he explored the interplay between artificial intelligence and power electronics, particularly in intelligent embedded systems for robotics.

Professional endeavors

After completing his doctorate, zheng took on the role of ai technology director at china united network communications co., ltd., guangdong branch. in this capacity, he leads several r&d initiatives focusing on real-time applications of ai in industrial and telecommunications settings. his work bridges theory and practice, bringing cutting-edge robotics research into Mobile Robotics Systems practical implementations. one of his key areas involves integrating power electronics with swarm robotics to enhance energy efficiency and operational control in field-deployed systems.

Contributions and research focus

Lanxiang Zheng’s primary research areas include distributed control, uav swarm planning, and embodied intelligence. his work in multi-robot exploration has advanced the autonomous capabilities of mobile robots in complex environments. he is particularly known for pioneering adaptive swarm algorithms that incorporate distributed intelligence, which are instrumental in Mobile Robotics Systems scalable robotic deployments. his research also investigates the convergence of intelligent control strategies with power electronics, enhancing the synergy between hardware control and machine learning models.

Impact and influence

As a recognized reviewer for prestigious journals and conferences such as ra-l, icar, and iros, zheng has played an important role in maintaining the quality and innovation within the ai and robotics research community. his evaluation work supports groundbreaking studies and Mobile Robotics Systems reinforces academic standards globally. he is frequently consulted on topics related to ai integration in industrial robotics and autonomous systems, often emphasizing the importance of efficient power electronics in ensuring real-world scalability.

Academic cites

Lanxiang Zheng’s scholarly work has been widely cited across robotics and ai research. his publications contribute to foundational knowledge in uav autonomy, swarm coordination, and intelligent control systems. his citations reflect the academic community’s recognition of his theoretical advancements and practical methodologies. his research articles are frequently referenced in Mobile Robotics Systems studies exploring the control mechanics of collaborative robotics and the embedded system design for energy-efficient robotics.

Legacy and future contributions

Zheng’s interdisciplinary approach and visionary leadership have made a lasting mark in the robotics sector. he aims to continue driving innovation at the intersection of artificial intelligence, robotics, and Mobile Robotics Systems communications infrastructure. his future projects focus on large-scale deployment of intelligent agents, supported by advanced power electronics, to tackle real-world challenges such as disaster response, environmental monitoring, and smart city automation. his legacy lies in building intelligent, collaborative systems that push the boundaries of what robots can achieve autonomously.

Notable Publications

  1. Title: AAGE: Air-Assisted Ground Robotic Autonomous Exploration in Large-Scale Unknown Environments
    Authors: Lanxiang Zheng, Mingxin Wei, Ruidong Mei, Kai Xu, Junlong Huang, Hui Cheng
    Journal: IEEE Transactions on Robotics
    Year: 2025
  2. Title: Meta-Learning Enhanced Model Predictive Contouring Control for Agile and Precise Quadrotor Flight
    Authors: Mingxin Wei, Lanxiang Zheng, Ying Wu, Ruidong Mei, Hui Cheng
    Journal: IEEE Transactions on Robotics
    Year: 2025
  3. Title: Bio-Inspired Decentralized Model Predictive Flocking Control for UAV Swarm Trajectory Tracking
    Authors: Lanxiang Zheng, Ruidong Mei, Mingxin Wei, Zhijun Zhao, Bingzhi Zou
    Journal: Journal of Bionic Engineering
    Date: 2025-06-23
  4. Title: Real-Time Efficient Environment Compression and Sharing for Multi-Robot Cooperative Systems
    Authors: Lanxiang Zheng, Kai Xu, Jinqi Jiang, Mingxin Wei, Boyu Zhou, Hui Cheng
    Journal: IEEE Transactions on Intelligent Vehicles
    Year: 2024
  5. Title: Safe Learning-Based Control for Multiple UAVs Under Uncertain Disturbances
    Authors: Mingxin Wei, Lanxiang Zheng, Ying Wu, Han Liu, Hui Cheng
    Journal: IEEE Transactions on Automation Science and Engineering
    Year: 2024

Conclusion

Through a blend of academic rigor and professional application, Lanxiang Zheng has become a key figure in ai-driven robotics. his research not only deepens understanding of swarm intelligence and autonomous systems but also paves the way for practical deployment powered by advanced power electronics. his continued efforts promise to influence the future of intelligent machines, making them more efficient, scalable, and impactful across industries.

Mr. Feng Yueyun – Electrical engineering – Best Researcher Award

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Mr. Feng Yueyun - Electrical engineering - Best Researcher Award

Beijing Jiaotong University - China

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Summary

Feng Yueyun is an emerging scholar in the field of power electronics, with a strong academic background and hands-on experience in advanced engineering systems. after graduating in the top 1% of his class from shanxi university, he pursued his master’s degree at beijing jiaotong university, specializing in power electronics and electric drive. he has demonstrated technical proficiency with tools like matlab/simulink, ccs, and vivado, and has actively contributed to research projects involving hybrid vehicles and motor control systems. as a first author, he has already published three scientific papers, reflecting his growing academic impact and dedication to innovation.

Early academic pursuits

Feng Yueyun embarked on his academic journey with a strong foundation in electrical engineering. he pursued his undergraduate degree at shanxi university (2019–2023), where he consistently ranked in the top 1% of his major with a gpa of 3.64/4.5. his coursework reflects his aptitude in core areas Electrical engineering, including circuit theory (96), fundamentals of electronic technology (92), and electric machinery and drive (93.3). his academic commitment was complemented by certifications such as cet-4, cet-6, and the putonghua proficiency certificate.

Professional endeavors

Currently pursuing his master's degree in power electronics and electric drive at beijing jiaotong university (2023–2026), feng has immersed himself in high-level engineering applications. he has acquired hands-on experience with Electrical engineering essential tools including matlab/simulink, ccs (dsp), vivado (fpga), and rt-lab, equipping him to tackle real-world industrial and research problems in power electronics.

Contributions and research focus

Feng yueyun plays an active role in advanced research projects within the domain of hybrid engineering vehicles, where he serves as the primary student supervisor. his technical responsibilities include debugging control boards and modifying dsp code for mining truck traction motor systems. his commitment to power electronics is further evidenced by Electrical engineering his research and publication record. he is the first author on three publications: one presented at an ei-indexed conference, and two published in sci journals (one fourth-tier and one second-tier).

Impact and influence

His research efforts are shaping efficient electric drive systems and energy solutions, especially within the field of power electronics. his undergraduate project—“power generation and energy storage based on human movement”—demonstrates his early initiative in exploring innovative energy technologies, Electrical engineering contributing to the broader dialogue on sustainability and human-centric design.

Academic cites

Feng’s academic visibility is growing steadily. with multiple authored papers already cited in indexed literature, his influence continues to expand within the scientific and engineering communities. his engagement with practical applications in Electrical engineering vehicle electrification and electric drive control systems further reinforces his credibility as an emerging scholar in power electronics.

Legacy and future contributions

Feng Yueyun is poised to make lasting contributions to the domain of power electronics. with a strong academic record, technical fluency, and early publication success, he is on a clear trajectory to become a thought leader in smart transportation, Electrical engineering hybrid vehicle control, and advanced electric drive systems. his future work is expected to bridge the gap between academic innovation and industrial implementation, reinforcing sustainable engineering solutions for modern infrastructure.

Notable Publications

Title: Temperature Compensation Control of an Induction Motor with Rotor Time Constant Error Regulation
Journal: Electrical Engineering
Year: 2025

Conclusion

With a proven track record in both academic excellence and applied research, Feng Yueyun is well-positioned to contribute meaningfully to the evolving field of power electronics. his work not only advances current technologies in electric drives and hybrid systems but also lays the groundwork for sustainable energy innovations. as he continues to build on his expertise, he is expected to play a significant role in shaping the future of intelligent transportation and energy-efficient solutions.

Assoc. Prof. Dr. Seulki Lee – Cognitive Robotics Systems – Best Researcher Award

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Assoc. Prof. Dr. Seulki Lee - Cognitive Robotics Systems - Best Researcher Award

Kwangwoon University - South Korea

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Summary

Dr. Seulki Lee, an associate professor at Kwangwoon university, is a leading academic in the field of construction engineering with a strong focus on digital transformation. her expertise spans digital knowledge representation, smart technology acceptance, off-site construction evaluation, and robotics simulation. with a comprehensive academic background from kwangwoon university and significant research experience at seoul national university, she has developed advanced methodologies integrating ontology, bim, digital twins, and power electronics. recognized by multiple prestigious awards, she continues to shape the future of construction technology through research, education, and mentorship.

Early academic pursuits

Dr. Seulki Lee’s academic journey began at Kwangwoon university, where she completed her bachelor’s degree in architectural engineering (2004–2008). her passion for construction and digital systems led her to pursue a master’s (2008–2010) and subsequently a ph.d. in construction management (2010–2014) from the same institution. Cognitive Robotics Systems her early research focused on integrating digital technologies with architectural processes—a foundation that continues to shape her work in domains such as building information modeling (bim), ontology, and power electronics in construction automation systems.

Professional endeavors

After earning her doctoral degree, Dr. lee served as a senior researcher at the institute of construction and environmental engineering, seoul national university (2014–2021). during this period, she deepened her expertise in simulation, prefabrication, and construction knowledge management. in march 2021, she returned to her alma mater, kwangwoon university, as an associate professor in the department of architectural engineering. her dual roles in research and academia have allowed her to mentor students, lead funded projects, and collaborate on national and international research initiatives, especially those integrating digital twins and robotics with power electronics.

Contributions and research focus

Digitalization of construction knowledge: She works on developing ontology-based frameworks for representing and automating reasoning over construction data using rdf, sparql, and large language models (llms). Smart technology acceptance and education: Her research explores how professionals adopt digital tools, focusing on the technology acceptance model (tam) and the development of Cognitive Robotics Systems effective safety-oriented training methods. Off-site construction and dfx evaluation: She has introduced structured evaluation systems for design for manufacturing and assembly (dfma) and quality control of prefabricated components. Construction robotics and simulation: She is a pioneer in integrating robot-friendly environments, bim, and digital twins to simulate and evaluate robotic task efficiency—especially in synergy with power electronics used in autonomous systems.

Impact and influence

Dr. Lee’s contributions have been recognized through numerous prestigious awards. these include the president’s commendation from the korean society of civil engineers (ksce) in 2025, the jeong won-seok special award in 2024, Cognitive Robotics Systems and multiple outstanding paper awards from kicem and aik. in addition, her student supervision excellence awards (2021–2024) highlight her role as a mentor and educator shaping the next generation of engineers.

Academic cites

Her work is frequently cited in areas of ontology-based construction knowledge, smart construction technologies, and construction robotics. she has contributed to numerous peer-reviewed publications and conference papers, often at the intersection of bim, simulation, and digital literacy. her academic visibility has made her a recognized authority in Cognitive Robotics Systems integrating semantic web technologies and ai reasoning into architectural and civil engineering workflows.

Legacy and future contributions

As a thought leader in the digitization of construction systems, dr. lee continues to influence policy, research, and education in smart construction. her future work aims to further automate decision-making processes through advanced reasoning engines and enhance human-robot collaboration for safer and more efficient work environments. with a Cognitive Robotics Systems commitment to standardization, sustainability, and educational reform, she is poised to leave a lasting legacy in both academia and industry.

Notable Publications

  1. Title: Automated Inference of Context-Specific Hazards in Construction Using BIM and Ontology
    Authors: [Author names not provided]
    Journal: Automation in Construction
    Year: 2025
  2. Title: A Practical Image Augmentation Method for Construction Safety Using Object Range Expansion Synthesis
    Authors: [Author names not provided]
    Journal: Buildings
    Year: 2025

Conclusion

Dr. Seulki Lee’s contributions reflect a deep commitment to modernizing construction practices through digital innovation and interdisciplinary integration. her impactful research in automation, smart education, and robotics-enabled environments—supported by technologies such as power electronics—positions her as a visionary leader in engineering. as construction rapidly evolves, her work will remain pivotal in fostering safer, smarter, and more efficient industry practices while inspiring future scholars and practitioners.