Dipak Kumar Ghosh | Research Achievement Award Winner 2023🏆
Dr. Dipak Kumar Ghosh : Pattern Recognition
Assistant Professor at Galgotias University, Greater Noida, Uttar Pradesh.
Congratulations, Dr. Dipak Kumar Ghosh, on winning the esteemed Research Achievement Award from Research! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here's to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!
He is currently engaged as an Assistant Professor (Gr 2) at Galgotias University, Greater Noida, Uttar Pradesh. In this capacity, he plays a pivotal role in shaping the academic landscape by imparting knowledge and expertise in the field of Electronics & Communication Engineering. With over a decade of rich experience in academia and industry, He brings a wealth of practical insights to his role, nurturing young minds and inspiring them to excel in their educational pursuits. His current tenure at Galgotias University signifies his commitment to academic excellence, research, and fostering an environment conducive to innovative learning methodologies. Leveraging his expertise in Signal and Image Processing, Gesture and Pattern Recognition, and Computer Vision, He actively contributes to curriculum development, spearheads research initiatives, and engages in mentorship programs. His dedication to academia and his proactive approach towards staying abreast of the latest advancements in the field make him a valuable asset in nurturing the next generation of engineers and researchers.
Professional Profiles:
Early Academic Pursuits :
He embarked on his academic journey with a strong foundation in Electronics & Communication Engineering, culminating in a Ph.D. from the esteemed National Institute of Technology Rourkela. His early educational pursuits highlight a consistent dedication to learning and a notable aptitude for signal and image processing.
Professional Endeavors :
His professional journey spans a diverse spectrum, encompassing roles in academia and industry. His experience includes impactful positions as an Assistant Professor at Galgotias University, a Temporary Faculty at NIT Raipur, and significant tenures at Adamas University. His industry stint as a System Engineer at SAI Services & Technology Pvt. Ltd honed his practical skills and perspective.
Contributions and Research Focus :
His prolific research contributions primarily focus on Signal and Image Processing, Gesture and Pattern Recognition, and Computer Vision. His notable publications in esteemed journals and conferences reflect his dedication to exploring innovative solutions in these domains. Dr. Ghosh's commitment to academia is evident through his administrative roles and academic initiatives at Adamas University and Galgotias University.
Accolades and Recognition :
His academic excellence is underscored by achievements such as GATE qualification, securing the 2nd rank in M.Tech at NITTTR Kolkata, and receiving a Ph.D. Scholarship from MHRD, Government of India. His pivotal role in organizing IEEE AMPHE 2020 and successful completion of numerous professional certifications further demonstrate his multifaceted expertise.
Impact and Influence :
As Head of the Department and Vice Chancellor Nominee, He significantly contributed to curriculum development, laboratory advancements, and the integration of industry-aligned learning pathways. His efforts in introducing project-based learning, academic quality circles, and outcome-based education reflect his forward-thinking approach towards education.
Legacy and Future Contributions :
His legacy is marked by his relentless pursuit of knowledge, research excellence, and an indelible impact on academia. His vision for the future involves continued research in cutting-edge technologies, mentoring aspiring scholars, and contributing significantly to the advancement of Signal Processing, Computer Vision, and allied fields.
Notable Publications :
- A static hand gesture recognition algorithm using k-mean based radial basis function neural network
- Hand gesture recognition using DWT and F‐ratio based feature descriptor
- Local directional ZigZag pattern: A rotation invariant descriptor for texture classification
- Static hand gesture recognition using mixture of features and SVM classifier
- Edge detection using ACO and F ratio
- On an algorithm for Vision-based hand gesture recognition
- Local Morphological Pattern: A Scale Space Shape Descriptor for Texture Classification
- Electrocardiogram (ECG) signal classification using s-transform, genetic algorithm and neural network
- Color hand gesture segmentation for images with complex background
- FWLBP: a scale invariant descriptor for texture classification
Citations:
A total of 637 citations for his publications, demonstrating the impact and recognition of his research within the academic community.
- Citations 377 260
- h-index 11 10
- i10-index 13 10