Mr. Suresha R | Computer Vision Awards | Excellence in Research Award

Mr. Suresha R | Computer Vision Awards | Amrita Vishwa Vidyapeetham | India

Mr. Suresha R. is a results-driven educator and technologist with over six years of combined experience in teaching computer science and academic leadership. He holds an M.Sc. in Computer Science and has qualified in UGC-NET and K-SET, while currently pursuing a Ph.D. Mr. Suresha R. has demonstrated expertise in curriculum design and research, particularly focusing on AI in autonomous solutions and computer vision applications. In his professional career, Mr. Suresha R. has served as an Assistant Professor at Amrita Vishwa Vidyapeetham, School of Computing, Mysuru Campus, and at SBRR Mahajana First Grade College, Mysuru, where he delivered advanced courses in Computer Vision, Digital Image Processing, Pattern Recognition, Computational Intelligence, Computer Graphics, Machine Learning, Exploratory Data Analysis, R Programming, Information Retrieval, Data Mining, Numerical Analysis, and Operations Research, consistently achieving high student satisfaction. His research interests encompass small traffic sign detection and recognition in challenging scenarios using computer vision and LiDAR-based techniques with ROS2 framework, deep learning-based vehicle detection and distance estimation for autonomous systems, motion blur image restoration, wild animal recognition through vocal analysis, and SVM-based medical image classification. Mr. Suresha . possesses strong research skills in Python, MATLAB, ROS2, machine learning, deep learning, image processing, and data analysis. He has successfully guided Bachelor’s and Master’s students in research projects, fostering innovation and academic growth. His academic contributions are recognized through multiple publications in prestigious journals and conferences, including IEEE Access, Procedia Computer Science, ICCCNT, CCEM, ICECAA, and INDIACom. Mr. Suresha . has a proven record of collaborating in interdisciplinary teams, effectively communicating complex technical concepts, and mentoring students to achieve excellence in research and practical applications. His dedication to lifelong learning and active engagement in both teaching and research demonstrates his commitment to advancing knowledge in computer science and autonomous systems. Throughout his career, Suresha has received awards and recognitions for research excellence, contributing to the development of sustainable and intelligent solutions in the field of computer vision and AI. Overall, Mr. Suresha exemplifies a passionate and innovative professional, bridging theoretical foundations with applied research, and continues to make significant contributions to academia and technology

Professional Profiles: ORCID

Selected Publications

Suresha, R., Manohar, N., Ajay Kumar, G., & Singh, R. (2024). Recent advancement in small traffic sign detection: Approaches and dataset.
Suresha, R., Manohar, N., & Jipeng, T. (2024). Two-stage traffic sign classification system.
Sudharshan Duth, P., Manohar, N., Suresha, R., Priyanka, M., & Jipeng, T. (2024). Wild animal recognition: A vocal analysis.
Suresha, R., Jayanth, R., & Shriharikoushik, M. A. (2023). Computer vision approach for motion blur image restoration system.
Srinivasa, C., Suresha, R., Manohar, N., Dharun, G. K., Sheela, T., & Jipeng, T. (2023). Deep learning-based techniques for precise vehicle detection and distance estimation in autonomous systems.
Suresha, R., Devika, K. M., & Prabhu, A. (2022). Support vector machine classifier based lung cancer recognition: A fusion approach.

Mrs. Xinyu Liang, Guangxi University, China

Liang Xinyu, born in January 2000, is an accomplished network engineering graduate from Anhui University. As an ethnic Zhuang and a member of the Communist Party of China, Liang has demonstrated excellence both academically and practically. She earned her Bachelor’s degree with a GPA of 3.38, placing her in the top 30% of her class. Her internship at iFLYTEK Co., Ltd. as an Algorithm Engineer Intern involved developing multi-language voice assistant tools for smart cars, where she honed her skills in language analysis and data organization. Liang has led several significant projects, including a supermarket cashier management system, a movie recommendation system, and a tourist route planning system. Her accolades include being named an Outstanding Graduate, winning campus and departmental singing competitions, and receiving multiple scholarships. Liang is fluent in English, skilled in C, C++, and Python, and has strong organizational and artistic talents, excelling in music and sports.

Summary of Suitability for the Best Researcher Award:

Bachelor’s Degree in Network Engineering, Anhui University (Graduated with a GPA of 3.38, ranking in the top 30% of her class).Proficient in computer science subjects, including Computer Networks, Software Engineering, Database Principles, Operating Systems, Data Structures, and Big Data Technologies.

Education:

Bachelor’s Degree in Network Engineering
Anhui University, China
September 2018 – July 2022
- Major Courses: Computer Networks, Software Engineering, Database Principles, Operating Systems, Data Structures, Computer Principles, Big Data Science and Technology, Big Data Languages
- GPA: 3.38 (Top 30% of class)

Work Experience:

Algorithm Engineer Intern
iFLYTEK Co., Ltd., China
February 2022 – May 2022
- Developed multi-language voice assistant tools for smart cars
- Analyzed language features and organized data to improve the efficiency of data analysis and processing
Project Involvements
- Supermarket Cashier Management System
  - Developed during undergraduate studies
- ItemCF-Based Movie Recommendation System
  - Independently developed during undergraduate studies
- Tourist Route Planning System
  - Served as team leader for a college innovation and entrepreneurship competition project
- Digital Sudoku Game
  - Contributed to the design and development during undergraduate studies