Vahid Ashkanichenarlogh

In my academic journey, I have consistently pursued excellence, dedicating myself to acquiring knowledge and skills that have profoundly shaped me, both personally and professionally. As a seasoned specialist in 𝐀𝐈 𝐚𝐧𝐝 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 , I've honed my expertise through a combination of theoretical learning and hands-on project experiences. Grounded in computer science fundamentals and driven by an unwavering passion for innovation, I've effectively applied my knowledge to conceive and deliver the cutting edge solutions and applications in these domains.

• Video clip making
• Walking
• Music
• GYM working out
• Critical thinking
• Love of being entrepreneurial

Publications summary:

To look at more publications, please explore on my Scholar page:

https://scholar.google.com/citations?user=bEfwKksAAAAJ&hl=en&oi=ao

• Ashkani Chenarlogh, V., Shabanzadeh, A., Ghelich Oghli, M. et al., 2022. Clinical target segmentation using a novel deep neural network: double attention Res-U-Net. Scientific Reports, Nature, 12(1), pp.1-17.
• Ashkani Chenarlogh, V., Mostafa Ghelich Oghli, et al. “Fast and Accurate U-Net Model for Fetal Ultrasound Image Segmentation”, In Ultrasonic Imaging, https://doi.org/10.1177%2F01617346211069882.
• Ashkani Chenarlogh, V, Razzazi, F, ‘Multi-stream 3D CNN structure for human action recognition trained by limited data’, In IET Computer Vision, 13(3), 2019, pp. 338-344.
• J.A. Aghamaleki, V.A. Chenarlogh, ‘Multi-Stream CNN for Facial Expression Recognition in Limited Training Data’, In Multimedia Tools and Applications, August 2019, Vol. 78, Issue 16, pp. 22861–22882.
• V.A. Chenarlogh, F.razzazi, et al., ‘A 3D-CNN Architecture for Multi-View Human Action Recognition with limitted Training Samples’, In 5th International IEEE Conference on Signal Processing and Intelligent Systems, DOI: 10.1109/ICSPIS48872.2019.9066079 , 2019, Shahrood, Iran, pp. 1-11.
• V.A. Chenarlogh, Hossein B. Jond, Jan Platos, “A Robust Deep Model for Human Action Recognition in Restricted Video Sequences”, In 43rdIEEE International Conference on Telecommunications and Signal Processing (TSP), July 7-9, 2020, Milan, Italy, pp. 541-544. (This work was supported by the ESF in “Science without borders” project, reg, nr. CZ. 02.2.69/0.0/0.0/16_027/0008463 within the Operational Programme Research, Development and Education)
• Ashkani Chenarlogh, V., Hassanpou. A, Grolinger. K, Parsa. V, “Dilated One-to-Many U-Net model for Medical Image Segmentation”, IEEE Access, Status: Under Revision.
• Ashkani Chenarlogh. V, Ghelich Oghli .M, et al., “One-To-Many Model for Medical Image Segmentation”, Iranian Society of Radiology, Vol. 37, Issue. 1, 2022.
• Ghelich Oghli .M, Bagheri . S.M, Shabanzadeh .A, Mehrjardi . M, Akhavan . A, Ashkani Chenarlogh . V, Sirjani . N, “Fast-UNet++: A novel Deep Learning based approach for Kidney Dimension Measurement using Ultrasound Images”, Iranian Society of Radiology, Vol. 37, Issue. 1, 2022.
• Ghelich Oghli. M, Bagheri . S.M, Shabanzadeh .A, Mehrjardi . M, Akhavan . A, Ashkani Chenarlogh .V, Sirjani .N, “Automatic Diagnosis of Liver Streatosis by Calculation Hepato-Renal Index in Ultrasound Images using Deep Learning”, Iranian Society of Radiology, Vol. 37, Issue. 1, 2022.

Honor:

• First ranked in RoboCup competition, Iran Open(2014) in the field of ROV submarine robots.
• Received a fund by the ESF in “Science without borders” project, reg, nr. CZ. 02.2.69/0.0/0.0/16_027/0008463 within the Operational Programme Research, Development and Education

• Google professional Certificate for Project management of Coursera
• IBM professional Certificate for Machine Learning of Coursera
• Google Advanced Data Analytics Professional Certificate of Coursera
• Generative AI with Large Language Models of DeepLearning.ai
• The Founders Journey An Entrepreneurial Process, Morrissette Entrepreneurship
• Business Communications for Researchers: Listening & Speaking, Issued by Dalhousie University
• Innovation Think Tank Certification Program on Frugal Biomedical Innovations at Western University
• Lab2Market Discover Certificate

• Augmented Reality AR (Unity)
• C programming
• Graphical programming (LabView)
• FPGA and AVR programming
• Film editing for video based dataset collection