Mahroosh Banday | Computer Vision | Best Researcher Award

Dr. Mahroosh Banday | Computer Vision | Best Researcher Award

Indian Institute of Technology Delhi | India

Mahroosh Banday is a dedicated researcher and academician in the fields of biometrics, image processing, and computer vision. With strong expertise in developing innovative solutions for forensic odontology and advanced recognition systems, she has contributed extensively through her teaching, research, and publications. She has been associated with reputed institutions like IIT Delhi, NIT Srinagar, and Islamic University of Science and Technology, where she has played multiple roles as a researcher, assistant professor, and session chair. Her contributions extend to proposal writing for national research bodies and mentoring in technical domains, making her a committed contributor to academia and industry.

Professional Profile

Scopus

Education

Mahroosh Banday has pursued her academic journey in the field of Electronics and Communication Engineering. She completed her doctoral research at the National Institute of Technology, Srinagar, with a thesis focused on dental biometric identification and its forensic applications. Prior to this, she earned her Master of Technology in Digital Communication from Uttarakhand Technical University, Dehradun, where she strengthened her foundation in advanced communication systems. She holds a Bachelor of Technology degree in Electronics and Communication Engineering from the Islamic University of Science and Technology, Jammu and Kashmir. Her academic achievements also include being recognized as a gold medalist.

Professional Experience

Mahroosh Banday has rich professional experience encompassing both research and teaching. She has worked as a research scientist and post-doctoral fellow at IIT Delhi, contributing to innovative projects in AI, biometrics, and defense-related applications. She also gained experience as an assistant professor in the Department of Electronics and Communication Engineering at the Islamic University of Science and Technology. Additionally, she has been involved with NIT Srinagar as a researcher and teaching assistant, where she supported academic and research activities. Her work has included drafting technical proposals for submission to major government agencies and collaborating on interdisciplinary research initiatives.

Awards and Recognition

Mahroosh Banday has received recognition for her excellence in academics and research. She was awarded a gold medal for her outstanding performance during her undergraduate studies. Her research contributions have been acknowledged with a Best Paper Award for her work on image refurbishing approaches at an international conference. She has also been invited to deliver guest lectures, chair sessions at reputed conferences, and contribute as a reviewer for international publications and book chapters. As an active member of IEEE and associated professional societies, she has established herself as a recognized researcher with significant contributions to her domain of expertise.

Research Skills

Mahroosh Banday’s research expertise spans biometrics, forensic odontology, computer vision, and artificial intelligence. Her work focuses on developing cancellable dental templates, biometric systems, and AI-based models for practical applications in security, surveillance, and healthcare. She has worked extensively on projects involving hydrographic data analytics, thermal image synthesis, and optimized facial recognition systems. Her skills include applying advanced machine learning techniques, diffusion models, and deep neural networks for complex image analysis tasks. Proficient in MATLAB and Python, she combines theoretical knowledge with practical problem-solving, demonstrating her ability to address multidisciplinary challenges in biometrics, communication technologies, and defense-oriented research.

Notable Publications

Multi Spectral Visible-Thermal IR Image Translation using Improved U-NET and Conditional Diffusion
Author: Mahroosh Banday, Brejesh Lall
Journal: Neurocomputing
Year: 2022

Conclusion

Mahroosh Banday stands out as a committed academician and researcher whose contributions bridge the gap between theory and practical applications. Her work has advanced the fields of biometric identification, forensic odontology, and AI-driven image processing. With strong professional experiences in teaching, research, and proposal development, she continues to engage in projects of national and global relevance. Recognized for her academic excellence and active participation in professional communities, she remains focused on expanding her research in emerging technologies. Her career reflects dedication, innovation, and a deep commitment to contributing toward advancements in science, technology, and societal applications.

Sheshang Degadwala | Computer Vision | Best Researcher Award

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

Sigma University, India

Author Profile

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🎓 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:

Title: Vibration analysis of single-link flexible manipulator in an uncertain environment
Authors: P. Rao, D. Roy, S. Chakraverty
Journal: Journal of Vibration Engineering & Technologies
Year: 2024

Title: Vibration analysis of single-link robotic manipulator by polynomial based Galerkin method in uncertain environment
Authors: P. Rao, S. Chakraverty, D. Roy
Journal: Polynomial Paradigms: Trends and Applications in Science and Engineering
Year: 2022

Title: Dynamics of slender single-link flexible robotic manipulator based on Timoshenko beam theory
Authors: P. Rao, S. Chakraverty, D. Roy
Journal: Mathematical Methods in Dynamical Systems
Year: 2023

Title: Vibration analysis of non-homogenous single-link flexible manipulator in uncertain environment
Authors: P. Rao, D. Mohapatra, S. Chakraverty, D. Roy
Journal: Applied Mathematical Modelling
Year: 2025

Title: Oscillation characteristics of single-link flexible manipulator using design parameters in fuzzy domain
Authors: P. Rao, S. Chakraverty, D. Roy
Journal: Journal of Vibration Engineering & Technologies
Year: 2024