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Dr.Alavikunhu Panthakkan
Assistant Professor
+971 4 5566 946
Overview
Dr. Alavikunhu Panthakkan, an esteemed research scientist in artificial intelligence-based image signal processing, holds a Ph.D. in Electronics Engineering. He is currently working as assistant professor at College of Engineering and IT department, University of Dubai. His research encompasses a broad spectrum, focusing on the development of groundbreaking algorithms and models for image processing, computer vision, and machine learning. His work finds particular applications in the domains of medical imaging and remote sensing. Dr. Panthakkan's contributions to the scientific community are significant, with over 60 publications featured in renowned international journals and conference proceedings. Additionally, he has authored a printed book titled "Robust and Fragile Watermarking Techniques," published by LAMBERT Academic Publishing. Dedicated to fostering progress and collaboration, Dr. Panthakkan actively participates in the research community. He serves on program committees for various conferences in the fields of computer vision and machine learning. Furthermore, he holds membership in esteemed professional organizations, including the Institute of Electrical and Electronic Engineers (IEEE), Institution of Engineers (India) (MIE), International Association of Engineers (IAENG), International Association of Computer and Information Technology (IACSIT), and Institute of Research Engineers and Doctors (IRED). Overall, Dr. Panthakkan is a highly respected and accomplished research scientist in AI-based image signal processing with a passion for advancing the state-of-the-art in his field through innovative research, teaching endeavors, and mentorship contributions.
Education
- Ph.D. in Electronics Engineering, BU, India, 2015.
- M.Tech. in Electronics Engineering, CUSAT, India, 2005.
- B.Tech. in Electronics & Communication Engineering, CUSAT, India, 2003.
Teaching Areas
- Information Technology
- Information System Security
- Programming Courses
- Signals and Image Processing
- Artificial Intelligence
- Computer Networking
- Telecommunication
- Digital Signal Processing
Teaching Experience
Computer Applications, Internet Applications, Introduction to Programming, Principles of Networking, Object Oriented Programming, Introduction to Operating System, Information Systems Security, Web Design & Development, IT Audit and Control, Artificial Intelligence, Big Data Management Using Hadoop, MATLAB, Electric Circuits II, Communication Systems, Digital Signal ProcessingWork Experience
Academic Positions
- Assistant Professor, Cochin College of Engineering and Technology, Kerala, India, Dec 2015 –Dec 2016. Department of Electrical and Electronics Engineering.
- Instructor, Khalifa University of Science and Technology, Sharjah, UAE, Mar. 2008 – Sep. 2013. Department of Electrical and Computer Engineering
- Project Engineer, SIBCA Electronics, Abu Dhabi, UAE, May. 2006 – Jan. 2008.
- Technical Consultant, Grey Technolabs, Cochin, India, Jun. 2005 – March 2006.
Memberships
- Member, The Institute of Electrical and Electronic Engineers (IEEE)
- Member, The Institution of Engineers (India) (MIE)
- Member, The International Association of Engineers (IAENG)
- Member, The International Association of Computer and Information Technology (IACSIT), Singapore
- Member, Institute of Research Engineers and Doctors (IRED)
Research
His research interests include Artificial Intelligence, Machine Learning, Computer Vision, Image Processing, Biomedical Data Analysis and Remote Sensing,
- Developing computer vision techniques for image segmentation, object detection, and tracking.
- Developing deep learning algorithms for image recognition and classification.
- Developing methods for extracting and analyzing features from large-scale image datasets, such as satellite imagery or medical images.
- Applying machine learning techniques such as deep learning and transfer learning to solve image processing problems.
- Developing algorithms for medical image analysis, including automated diagnosis and treatment planning.
- Developing algorithms for image denoising and super-resolution.
