Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

Dr. Seungchul Ryu | Automotive Artificial Intelligence | Research Excellence Award

Senior  Researcher | Forvia  | Canada

Dr. Seungchul Ryu is a senior researcher with extensive expertise in automotive-focused computer vision, image processing, and machine learning, delivering impactful innovations that bridge academic research and industrial deployment. His professional experience spans leading roles across academia and global mobility technology companies, contributing to intelligent cockpit systems, advanced driver-assistance solutions, and robust perception under extreme conditions. His research interests center on vision-aware safety systems, human–machine interaction, and applied AI for real-world automotive environments. He demonstrates strong research skills in algorithm development, system integration, patent generation, and large-scale project leadership. His work has earned industry recognition, innovation awards, and editorial and technical committee roles, reflecting sustained scientific influence and leadership. Overall, his contributions continue to shape next-generation intelligent mobility through high-impact research and innovation. He has achieved 344 Citations 33 Documents 7h-index.

 

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Featured Publications


No-Reference Quality Assessment for Stereoscopic Images Based on Binocular Quality Perception

– IEEE Transactions on Circuits and Systems for Video Technology, 2013

DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence

– IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015


Stereoscopic Image Quality Metric Based on Binocular Perception Model

– IEEE International Conference on Image Processing (ICIP), 2012

Depth Perception and Motion Cue Based 3D Video Quality Assessment

– IEEE International Symposium on Broadband Multimedia Systems, 2012

Zhen Guo | Automotive Robotics | Research Excellence Award

Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

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Featured Publications

Suresh Kumar Sahani | Automotive Software | Best Researcher Award

Dr. Suresh Kumar Sahani | Automotive Software | Best Researcher Award

Assistant Professor  |  Rajarshi Janak University   |  Nepal

Dr. Suresh Kumar Sahani is a distinguished academician and researcher specializing in applied mathematics, numerical methods, and computational modeling, currently serving as an Assistant Professor in the Faculty of Science, Technology, and Engineering at Rajarshi Janak University, Nepal. His academic journey reflects a profound commitment to advancing mathematical applications in social sciences, cultural modeling, and engineering systems. With a rich teaching experience spanning over a decade at Tribhuvan University’s M.I.T. and Janakpur campuses, he has contributed significantly to shaping the academic landscape in Nepal. His research interests lie in numerical optimization, machine learning integration, cultural dynamics simulation, reliability theory, and applied statistical modeling for industrial and societal systems. He has authored numerous high-impact research papers published in Q1 international journals such as Journal of Posthumanism, Linguistic and Philosophical Investigations, Review of Contemporary Philosophy, and Fuel Cells Bulletin, demonstrating multidisciplinary expertise that bridges mathematics with cultural and engineering contexts. His work on numerical simulations of cultural value conflicts, optimization of educational programs, and machine learning applications for social media analytics reflects a pioneering approach to problem-solving through mathematical innovation. Dr. Sahani’s research skills encompass numerical analysis, Laplace transform, Runge-Kutta methods, logistic regression, and computational statistics, underpinned by a deep understanding of data interpretation and model validation. He has been recognized for his scholarly contributions and academic leadership, consistently aligning mathematical theory with real-world utility in cultural, industrial, and digital domains. His pursuit of postdoctoral research further emphasizes his dedication to innovation and academic excellence. With a vision to integrate interdisciplinary knowledge and advance the global academic discourse, Dr. Sahani continues to influence both research and education in applied mathematics. He has achieved  471 Citations, 35 Documents, 8 h-index.

Profiles:  ORCID Scopus

Featured Publications 

1. Mahato, A. K., Das, R., & Sahani, S. K. (2025, June 27). Mathematical and computational techniques for sustainable agricultural development in Nepal. Rajarshi Janak University Research Journal, 3(1).

2. Gautam, H., Sahani, S. K., Mandal, D. N., Paudel, M. P., & Sahani, K. (2024). A revision of relaxed steepest descent, gradient descent, modified ellipsoid, David-Fletcher-Powell variable metric, Newton’s, and Fletcher-Reeves conjugate methods from the dynamics on an invariant manifold: A journey of mathematical optimization. African Journal of Biological Sciences, 6(5), 2175–2187.

3. Pandey, B. K., Pandey, D., & Sahani, S. K. (2024). Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning. Engineering Reports, 6(2).

4. Poudel, M. P., Pahari, N. P., Sahani, S. K., Basnet, G. B., & Poudel, R. P. (2024). Generalization of classical summation relation of certain Appell’s double hypergeometric functions associated with theory of approximation. Communications on Applied Nonlinear Analysis, 31, 305.

5. Sah, B. K., & Sahani, S. K. (2024). Poisson–New Linear–Exponential Distribution. African Journal of Biological Sciences, 6(5), 64–73.

Dr. Suresh Kumar Sahani’s research bridges mathematical theory and real-world applications to address societal, industrial, and environmental challenges. His innovative use of computational and numerical optimization methods supports sustainable agricultural development, intelligent automation, and advanced data modeling. By integrating mathematics with engineering and social systems, his work contributes significantly to global progress in science-driven sustainability and technological innovation.