RAKCINPHA HATIBARUAH

Organized academic professional and an assistant professor with a passion for education, and a commitment to academic excellence. Proficient in classroom instruction, student mentorship and curriculum development. Skilled in fostering an engaging learning environment, and conducting impactful research. Dedicated to the advancement of knowledge, and the success of students. Brings a few years of teaching experience and a strong sense of academic integrity.

• Received 'Anundoram Baruah Award', 2005, Government of Assam
• Qualified 'Graduate Aptitude Test (GATE) in Instrumentation Engineering', 03/2015, Ministry of Human Resources Development (MHRD), Government of India
• Qualified for 'Visvesvaraya PhD Scholarship for Electronics and IT', 09/2015, Ministry of Electronics & Information Technology (MeitY), Government of India

Research Trends in Network Security and Image Processing, 12/21/21, School of Innovation and Technology (SIT), Assam Rajiv Gandhi University of Co-operative Management (ARGUCOM), Sivasagar, Assam, India

• Lecture Notes in Computer Science, vol. 11942, Springer (Book), 1611-3349 (electronic)
• 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
• International Conference on Devices, Sensors and Systems (CoDSS) 2024

• Date of Birth: 03/01/90
• Gender: Male
• Nationality: Indian
• Marital Status: Married

• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2020, 3D-Local oriented zigzag ternary co-occurrence fused pattern for biomedical CT image retrieval, Biomedical Engineering Letters, 10, 3, 345-357, Springer.
• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2021, Computed tomography image retrieval via combination of two local bit plane based dissimilarities using an adder, International Journal of Wavelets, Multiresolution and Information Processing, 19, 1, 2050058-(1-18), World Scientific.
• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2019, Local bit plane adjacent neighborhood dissimilarity pattern for medical CT image retrieval, Procedia Computer Science, 165, 83-89, Elsevier.
• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2021, An effective texture descriptor for retrieval of biomedical and face images based on co-occurrence of similar center symmetric local binary edges, International Journal of Computers and Applications, 1-12, Taylor and Francis.
• Hatibaruah, R., Nath, V.K., Saikia, K.J. and Hazarika, D., 2019, Elliptical local binary co-occurrence pattern for face image retrieval, Journal of Statistics and Management Systems, 22, 2, 223-236, Taylor and Francis.
• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2020, Face image retrieval via sum and difference histograms of elliptical local ternary pattern, CSIT, 8, 285-291, Springer.
• Baruah, H.G., Nath, V.K., Hazarika, D. and Hatibaruah, R., 2022, Local bit-plane neighbour dissimilarity pattern in non-subsampled shearlet transform domain for biomedical image retrieval, Mathematical Biosciences and Engineering, 19, 2, 1609-1632, AIMS Press.
• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2020, Biomedical CT image retrieval using 3D Local Oriented Zigzag Fused Pattern, 2020 National Conference on Communications (NCC 2020), 1-6, IEEE.
• Hatibaruah, R., Nath, V.K. and Hazarika, D., 2019, Texture feature extraction based on multiple filters and decoded sparse local binary pattern for content based image retrieval, Pattern recognition and Machine Intelligence (PReMI 2019), 541-550, Springer.
• Nath V.K., Hatibaruah, R., Hazarika D., 2018, An Efficient Multiscale Wavelet Local Binary Pattern for Biomedical Image Retrieval, Proceedings of the International Conference on Computing and Communication Systems (I3CS 2018), Springer

• Peak Valley Plateau Quaternary Edge Pattern (PVPQEP): A new feature descriptor for medical image retrieval system, This project involves the study and analysis of textures in biomedical CT images. The performance of this descriptor in CT image retrieval from image databases is also investigated., Softwares: MATLAB, Microsoft-Office, Duration: 06/2014 - 05/2015
• Local pattern based texture descriptors for retrieval of texture, face and biomedical images: This project involves the design and development of discriminant and low dimensional local pattern based texture feature descriptors for content based image retrieval systems. The objective is to incorporate more discriminant information into the image features without increasing their dimension so that accurate and faster image retrieval is achieved simultaneously. As outcome of the project, we proposed three descriptors that extract second order discriminant texture information from images. Besides, performance boosting strategies for feature descriptors namely multiple filtering and bit plane decomposition are investigated and subsequently four boosted feature descriptors are proposed. Moreover, to efficiently extract features from anisotropic textures present in the images, we also proposed three 3D plane based zigzag local patterns. Retrieval performance analysis of all these descriptors are finally carried out in various texture, face and medical CT image databases and are also compared with several existing techniques., Software: MATLAB, LATEX, Microsoft-Office, Duration: 09/2015 - 12/2021
• Student Project1: Efficient Yoga Pose classification using fusion of CNN and enhancement techniques (ongoing)
• Student Project2: Remote sensing image retrieval using combination of deep network and handcrafted features (ongoing)
• Student Project3: Face emotion Recognition using improved state of art techniques (ongoing)

I do hereby declare that the information furnished above is true and correct to the best of my knowledge and belief.

• Computer Vision
• Content Based Image Retrieval
• Internet of Things
• Digital Image Processing
• Artificial Intelligence

• NPTEL certificate for the Subjects: Control Systems and Deep Learning for Computer Vision