This course introduces fundamental concepts in computer vision, including image formation, feature detection, and object recognition. Students will implement basic computer vision algorithms and develop applications that process and analyze visual data.
Level: Undergraduate
An advanced course covering theoretical foundations and practical implementations of pattern recognition systems. Topics include feature extraction, classification algorithms, clustering methods, and neural networks with applications in handwritten character recognition.
Level: Graduate
Covers techniques for digital manipulation of images, including enhancement, restoration, and compression. Students will develop algorithms for image processing and implement them using modern programming languages and libraries.
Level: Undergraduate/Graduate
Explores the implications of quantum computing for modern cryptographic systems and discusses approaches for developing quantum-resistant security protocols.
Level: Graduate
Covers security challenges in Internet of Things (IoT) implementations, network-layer protection, and detection of distributed denial of service attacks in IoT networks.
Level: Graduate
Introduces blockchain architecture, distributed ledger technologies, and smart contracts. Explores applications in secure data management across various domains including healthcare and personal safety.
Level: Graduate
Dr. Ajmire regularly mentors undergraduate and graduate students on research projects related to computer vision, pattern recognition, and emerging security technologies. Current research areas include:
G S Science, Arts and Commerce College
Khamgaon, Buldhana, Maharashtra, India