Prof. Dr. Sheshang Degadwala | Computer Vision | Best Researcher Award

Sigma University, India

Author Profile

SCOPUS

ORCID

GOOGLE SCHOLAR

EARLY ACADEMIC PURSUITS

Dr. Sheshang Dipakkumar Degadwala embarked on his academic journey with a strong foundation in Computer Engineering, completing his B.E. from Babaria Institute of Technology, Gujarat University in 2011. Demonstrating a keen interest in advancing technological innovation, he pursued his M.Tech in Computer Engineering from Charusat University in 2013, followed by a Ph.D. in Computer Engineering from Madhav University in 2018. His early fascination with algorithms, data mining, and system security laid the groundwork for his specialization in Image Processing and Computer Vision.

PROFESSIONAL ENDEAVORS

Dr. Degadwala currently serves as Head of Department and Associate Professor at Sigma University, Vadodara, a role he has held since 2012. With 11 years of academic experience, he has not only taught a broad range of undergraduate and postgraduate subjects—ranging from Computer Algorithms to Big Data Analytics—but also mentored over 80+ UG/PG dissertations. His pedagogical approach integrates theoretical depth with real-world application, ensuring students are industry-ready and research-informed.

CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER VISION

Dr. Degadwala’s core research lies in Image Processing, Computer Vision, Cryptography, and Information Security. His notable contributions include:

• Image Watermarking against Dual RST Attacks

• Privacy-preserving Systems using Zernike Moments

• Video Steganography using Key Frame Extraction and DWT

• Biometric-based Image Encryption Techniques

His technical toolkit spans across MATLAB, R, Visual Studio, Cisco Packet Tracer, and various machine learning frameworks, making him adept at deploying solutions in the fields of image fusion, medical image analysis, and steganography.

AWARDS AND HONOUR

• Best Paper Awards – IEEE (2016), Springer (2017), Bangkok (2019)

• Best Teacher Awards – Sigma University, InSc, Indian Legend (2015–2019)

• Best Researcher Awards – IJRULA, IARDO, VDGOOD, UIJIR (2018–2023)

• Young Faculty Awards – CEGR, SEEE, Novel Research Academy (2018–2019)

• Excellence Awards – BITs, MTRES, IEAE, DK Foundation (2017–2019)

• Outstanding Thesis & Research Awards – IARDO, National Leadership Award

• Education & Leadership Recognitions – GER Award, IPF, Research Gateway

IMPACT AND INFLUENCE

Dr. Degadwala has authored multiple high-impact books such as:

• Practical Handbook for Digital Image Processing Using MATLAB

• Cryptography using Modified ASCII Conversion & Mathematical Function

He has also actively participated in shaping young minds through international thesis guidance, with students producing pioneering work on disease detection, shadow removal, biometric encryption, and N-Gram-based review analysis.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Degadwala’s vision is centered on enhancing secure digital communication systems, robust biometric encryption techniques, and intelligent visual computing algorithms. His future roadmap involves launching collaborative projects focused on medical AI, autonomous systems, and cyber-physical security. He also aims to mentor the next generation of researchers with interdisciplinary exposure and practical insights.

 CONCLUSION

Dr. Sheshang D. Degadwala stands as a shining example of an academician seamlessly blending research, innovation, and teaching. His dedication to advancing the field of Computer Vision and Image Processing, alongside his prolific authorship and impactful mentorship, marks him as a distinguished contributor to the next-generation computing ecosystem.

 NOTABLE PUBLICATION: