Dr Vahid K. Alilou
Researcher of computer engineer
Dr. Vahid. K. Alilou received his Ph.D. in 2017 from the Department of Electrical and computer engineering, Semnan University (Iran). His research interests include artificial intelligence, image processing, computer vision, neural networks, machine learning, deep learning, and fuzzy systems. He is currently working with the research team of the Agricultural Engineering Research Institute of Iran.Education
Software Engineering
Sep 2002 - Aug 2006
Bachelors
Artificial Intelligence
Feb 2007 - Dec 2009
Masters
Image Processing
Feb 2013 - Sep 2017
PhD
Skill Set
Work Experience
Nov 2021 - Now
Researcher of A.I department
Teaching:
Research projects:
- Design, development and implementation of an intelligent system for online monitoring of river water quality.
- Investigating the amount of fuel consumption in different climates and greenhouse structures and providing solutions to optimize its consumption
Jul 2011 - Nov 2021
Project Manager, Software Developer
Systems developed:
- Kantar (weighing systems)
- Kantarbox (hardware/software solutions for automatic weighing)
- KantarPlus (including lab control systems, Gate control system, etc...)
- KantarAgent (a service designed for synchronizing data among different stations)
- KantarAxle (fully-automated axle weighing system)
- Kantar Kiosk
- Eyekeen (license plate recognition system)
Sep 2009 - Jul 2011
Instructor of Computer department
Courses tought:
- Artificial Intelligence.
- Expert Systems.
- Databases.
- Object Oriented Programming.
- Programming with C.
- Programming with Visual Basic .Net.
- Data Structure.
Publications
- Vahid. K. Alilou, Farzin Yaghmaee, “Exemplar-based image inpainting using svd-based approximation matrix and multi-scale analysis”, Multimedia Tools and Applications, 2017
- Vahid. K. Alilou, Farzin Yaghmaee, “Non-texture image inpainting using histogram of oriented gradients”, Journal of Visual Communication and Image Representation, 2017
- Vahid. K. Alilou, Farzin Yaghmaee, “Application of GRNN Neural Network in Non-Texture Image Inpainting and Restoration”, Pattern Recognition Letters, 2015
- Vahid. K. Alilou, Farzin Yaghmaee, “Fast Exemplar-Based Image Inpainting Using a New Pruning Technique”, International Journal of Pattern Recognition and Artificial Intelligence, 2017
- Vahid. K. Alilou, Farzin Yaghmaee, “Introducing A New Fast Exemplar-Based Inpainting Algorithm”, The 22nd Iranian Conference on Electrical Engineering (ICEE 2014)
- Vahid. K. Alilou, Mohammad Teshnehlab, "Prediction of 28day compressive strength of concrete on the third day using artificial neural networks", International Journal of Engineering, Vol. 3 Issue. 6, 2010
- Peyman Mahdavi, Farzin Yaghmaee, Vahid. K. Alilou, “Digital Image Inpainting Using Bilateral Filtering”, 1st International Conference on New Research Achievements in Electrical and Computer Engineering, 2016
- Rashid. Karimi, Saleh. Yousefi, Ali. Azarpeyvand, Vahid. K. Alilou, “New Downlink Scheduling Framework for Hybrid Unicast and Multicast Traffic in WiMAX Networks”, International Journal of Wireless and Microwave Technologies, Vol 5, 2012
- Vahid. K. Alilou, Mohammad. Teshnehlab, "Using Cascade-forward neural networks for prediction of the concrete strength" (In Persian), Iranian National Retrofitting Center, Tehran, Iran, 2009
- Mohammad. Teshnehlab, Vahid. K. Alilou, Alireza. Dardaei, "Concrete strength prediction using learning machine and neural networks", 2nd Joint congress on Fuzzy and Intelligent systems, Tehran, Iran, 2008
Projects
