Jagadish Samudrala | Computational Biophotonics Methods | Best Researcher Award

Mr. Jagadish Samudrala | Computational Biophotonics Methods | Best Researcher Award

Mr. Jagadish Samudrala, GIET University, Gunupur, India

Mr. Jagadeesh Samudrala is a passionate academician and committed researcher serving as an Assistant Professor in the Department of Electronics and Communication Engineering at Aditya University. He is currently pursuing a Ph.D. in Digital Image Watermarking from GIET University, Odisha, which strengthens his focus on innovation in digital security and signal processing. With over a decade of academic experience, he continues to merge teaching excellence with research depth.

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📘 Early Academic Pursuits

Mr. Jagadeesh began his academic journey with a B.Tech in Electronics and Communication Engineering (ECE) from GIET, Gunupur, Odisha, affiliated with BPUT, Rourkela. He later completed his M.Tech in Electronics and Telecommunication (ETC) from the same institute. Both degrees were awarded with First Class distinctions, setting a strong academic foundation. His interest in digital communication systems and image processing took shape early in his academic career, paving the way for his research pursuits.

💼 Professional Endeavors

With a total teaching experience of 12 years, Mr. Jagadeesh has shown consistent commitment to academic delivery, curriculum development, and student mentorship. He is a professional member of IEEE and IETE, reflecting his active engagement with the broader engineering community. His classroom experience is backed by hands-on technical knowledge and real-world applications of electronics and communication systems.

🔬 Contributions and Research Focus

Mr. Jagadeesh’s primary research area is Digital Image Watermarking, a critical aspect of information security and multimedia data protection. His work includes 2 Scopus-indexed journal publications and 5 Scopus-indexed conference presentations. He has also filed and published 3 patents, which demonstrates a strong focus on applied research and innovation in communication technology and digital systems.

🌍 Impact and Influence

Beyond research, Mr. Jagadeesh contributes significantly to the academic ecosystem. He organized a Faculty Development Programme under ATAL, sponsored by AICTE, showcasing his leadership in faculty training. Additionally, he received a grant from the Ministry of Earth Sciences, Government of India, to lead educational initiatives related to environmental awareness on World Earth Day — an example of his outreach beyond conventional teaching.

📊 Academic Cites & Research Skills

With his work indexed in Scopus and recognized in conferences, Mr. Jagadeesh’s research showcases technical rigor and relevance. He possesses strong skills in digital signal processing, watermarking algorithms, image encryption, MATLAB, and simulation tools, making him proficient in solving complex research problems and advancing secure multimedia technologies.

🎓 Teaching Experience

His 12 years of academic experience encompass not only delivering undergraduate and postgraduate courses but also mentoring students in their research and projects. His participation in 8 Faculty Development Programmes and 4 workshops/seminars highlights his commitment to continuous learning and faculty enrichment.

🏅 Awards and Honors

  • Coordinator of an ATAL Faculty Development Programme (AICTE-sponsored)

  • Grant recipient from the Ministry of Earth Sciences for public education initiatives

  • Holder of 3 published patents in the domain of electronics and image processing

These achievements highlight his credibility, innovation, and proactive engagement with both academic and societal challenges.

🌱 Legacy and Future Contributions

Mr. Jagadeesh is on a trajectory to become a leading contributor in secure image processing and AI-assisted watermarking. His plans include interdisciplinary collaborations, Ph.D. completion, and mentoring upcoming researchers. His long-term vision aligns with building a technology-driven academic environment that encourages innovation and addresses real-world problems.

Top Publications 

Tamper detection, localization and self-recovery using slant transform with DNA encoding for medical images

  • Authors: S Jagadeesh, AK Parida, K Meenakshi
  • Journal: Results in Engineering
  • Year: 2025

Floral-Structured Circular Patch Antenna for WLAN Applications

  • Authors: BV Vyshnavi, B Alekhya, PV Supriya, S Jagadeesh, JJK Sabareesh
  • Journal: 2025 5th International Conference on Trends in Material Science and Engineering
  • Year: 2025

Numerous Determinants Identities Involving Jacobsthal and Jacobsthal Lucas Numbers

  • Authors: SJ, T. Ragunathan, Shweta Choudhary, G. Venkat Narayanan
  • Journal: Communications on Applied Nonlinear Analysis
  • Year: 2024

Recognition of plant’s leaf infection by image processing approach

  • Authors: U Padma, S Jagadish, MK Singh
  • Journal: Materials Today: Proceedings
  • Year: 2022

Stripe noise removal from remote sensing images

  • Authors: PM Satya, S Jagadish, V Satyanarayana, MK Singh
  • Journal: 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)
  • Year: 2021

Fan Zhang | Computational Biophotonics Methods | Best Researcher Award

Assoc. Prof. Dr. Fan Zhang | Computational Biophotonics Methods | Best Researcher Award 

Assoc. Prof. Dr. Fan Zhang ,Shanghai University of Engineering Science, China

Assoc. Prof. Dr. Fan Zhang is a distinguished academic and robotics researcher at the Laboratory of Intelligent Control and Robotics, Shanghai University of Engineering Science. With over 15 years of experience in academia, his work focuses on the analysis, design, and optimization of parallel robotic mechanisms, contributing to both theoretical foundations and practical applications in intelligent automation systems.

Profile

Scopus

🎓 Early Academic Pursuits

Dr. Zhang embarked on his academic journey at the College of Mechanical Engineering, DongHua University, where he undertook a Combined Master and Doctoral Degree (2003–2008) in Robotics. His doctoral research, titled “Performance Analysis and Type Synthesis of Parallel Mechanisms”, explored critical aspects such as mobility analysis, Jacobian matrix computation, and motion-free parallel mechanism design—laying a robust theoretical groundwork in robotic kinematics and dynamics.

🧑‍🏫 Professional Endeavors

Dr. Zhang began his professional career as a Lecturer in Robotics (2009–2011) at the Shanghai University of Engineering Science, and was later promoted to Associate Professor in 2011, where he has continued to serve. His position at the Laboratory of Intelligent Control and Robotics allows him to contribute to cutting-edge developments in intelligent control systems, robotic mechanism synthesis, and automation technologies.

🔬 Contributions and Research Focus

Dr. Zhang’s core expertise lies in the limited-DOF parallel mechanism design, particularly focused on Jacobian matrix analysis, performance evaluation, and type synthesis methodologies. His research bridges mechanical engineering and robotics control, aiming to create more precise, efficient, and adaptable robotic systems. His work is critical in industrial automation, biomechanics, and intelligent manufacturing.

🌐 Impact and Influence

Though primarily based in China, Dr. Zhang’s research holds international relevance in the field of robotics kinematics. His studies on instantaneous motion-free mechanisms are particularly noteworthy for their potential to enhance robotic precision in constrained environments. As a mentor and researcher, he has influenced numerous students and early-career scholars in robotics and intelligent systems.

📚 Academic Citations and Research Output

While a detailed list of publications and citation metrics is not provided, Dr. Zhang’s long tenure and doctoral-level research suggest a substantial body of academic work. Increasing visibility through indexed journal publications, international conferences, and citations could further affirm his scholarly impact.

🛠️ Research Skills and Technical Expertise

Dr. Zhang demonstrates advanced skills in:

  • Mechanism design and analysis

  • Kinematic modeling

  • Jacobian computation and optimization

  • Robotic motion planning

  • Intelligent control systems

His technical proficiency enables him to contribute to multidisciplinary projects across engineering and automation.

👨‍🏫 Teaching Experience

With more than 15 years of teaching, Dr. Zhang has educated countless undergraduate and postgraduate students in robotics, mechanical design, and intelligent control. His pedagogical approach combines theoretical rigor with practical application, equipping students with both analytical and design-oriented skills.

🏆 Awards and Honors

While no specific awards are listed, Dr. Zhang’s long-term academic appointments and his promotion to Associate Professor reflect recognition of his academic excellence and research contributions. Inclusion in internal or national honors (e.g., Best Educator, Outstanding Researcher) would be fitting based on his profile.

🔮 Legacy and Future Contributions

Assoc. Prof. Dr. Fan Zhang is building a legacy in robotics mechanism design and intelligent control research. Looking forward, expanding into interdisciplinary domains such as AI-assisted robotics, biomechanical applications, and wearable robotics systems could further elevate his academic impact. His commitment to innovation, education, and engineering excellence positions him as a valuable leader in future robotics advancements.

Top Publications

Analysis of the Rigid Foldability of Origami Patterns Based on Spatial Positions of Creases

  • Authors: Wang, F., Zhang, F., Cui, G.

  • Journal: ASME Journal of Mechanisms and Robotics

  • Year: 2024

Kinematics and Force Transmission Analysis of a Decoupled Remote Center of Motion Mechanism Based on Intersecting Planes

  • Authors: Wu, K., Zhang, F., Cui, G., et al.

  • Journal: Journal of Mechanisms and Robotics

  • Year: 2020

Generalized Mobility and Decoupling Conditions of Closed-Loop Mechanism

  • Authors: Zhang, F., Cui, G., Zhang, D.

  • Journal: Advances in Mechanism and Machine Science (Springer, Cham)

  • Year: 2019

 Type Synthesis of N-Parallelogram-Based Surgical Arm with Remote Actuated Configuration

  • Authors: Zhang, F., Xue, Z., Hang, L., et al.

  • Journal: Mechanism and Machine Science

    • Intelligent control systems
  • Year: 2017

Design and Analysis of a Totally Decoupled 3-DOF Spherical Parallel Manipulator

  • Authors: Zhang, D., Zhang, F.
  • Journal: Robotica

  • Year: 2011