Dr. Shamik Tiwari is an experienced teaching and research professor with a strong background of 20 years in computer vision, data science, predictive and statistical modelling, machine learning, and deep learning. Throughout his career, he has demonstrated a deep passion for understanding and solving complex problems in these fields, and he is committed to pushing the boundaries of knowledge through research and sharing his expertise with the next generation of students.
In the realm of computer vision, he has extensive knowledge of image processing techniques, object detection, recognition, and medical informatics algorithms. He has worked on various projects involving computer vision applications such as Alzheimer’s disease detection, Monkeypox detection, Diabetic Retinopathy Screening, facial recognition, object segmentation, and scene understanding. His research contributions have been published in reputable conferences and journals, showcasing his ability to contribute to the advancement of this field.
He has extensive experience in accrediting programs, including NAAC, NBA, and ABET, ensuring compliance with rigorous standards and enhancing educational quality. Proficient in guiding institutions through evaluation processes, streamlining operations, and facilitating successful accreditation outcomes. He has demonstrated success in cultivating strategic alliances with industry partners, driving collaborative research projects, internships, and knowledge transfer to enhance academic programs and provide practical opportunities for students.
Awards and Grants