Currently pursuing a Ph.D. in Computer Science with the Department of Computer Science. He earned a Bachelor of Science degree in Computer Science and Engineering from the University of Dhaka in 2014.
Research framework covers Data Mining, Artificial Intelligence and Artificial Neural Network. His primary focus is in Computer Vision and Deep Learning.
Sarker’s research framework covers Data Mining, Artificial Intelligence and Artificial Neural Network. His primary focus is in Computer Vision and Deep Learning. His current research goal is to develop data efficient learning of Deep Neural Networks.
Sarker has worked on diverse research topics in Computer Science. He began his research experience studying Body Sensor Networks and also worked on Seismic Underearth Imaging. His current research is focused on Developing Data Efficient Learning methodology for Deep Neural Net Models and stabilizing Generative Adversarial Network.
Sarker serves as Intel’s AI Student Ambassador for Georgia State University. He is a member of the ACM, IEEE and the Computer Science Club.
His background includes extensive programming skills, including Languages: Python, C/C++, Java, Matlag/Octave Databases: MongoDB, MySQL Platforms & Frameworks: Unix, Pytorch, Tensorflow, Caffe, OpenCV, NS-3, and CORE. He also speaks fluent English and Bangla.
Sarker received the Outstanding Graduate Service Award from Georgia State’s Department of Computer Science which recognizes extraordinary service to the students and department.
Recipient of the DELL-EMC Grand Prize at the Scientific Computing Day Conference in 2018.
He also received the Best Poster award at the SCD conference in the Advanced Analytics track.
Some of Sarker’s past work includes Real-time Monitoring of Crop Diseases and Pests Using Image Sensor Network Technology. That 2014 work was funded by Bangladesh’s Ministry of Science and Technology
Sarker, K., Masoud, M.E., Belkasim, S. Shihao, J. (2019.) “Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data”. IEEE International Conference on Machine Learning and Applications Orlando, FL: ICMLA.
Masoud, M.E., Sarker, K., Belkasim, S., Chahine, I. (2018.) “Automatically Generated Semantic Tags of Art Images”. International Conference on Signal and Image Processing Applications (ICSIPA) Kuching, Malaysia: IEEE.
Goutham Kamath, Pavan Agnihotri, Maria Valero, Krishanu Sarker, Wen-Zhan Song, (2016). “Pushing Analytics to the Edge” Global Communications Conference Washington, DC: IEEE.
Sharbani Pandit, Krishanu Sarker, Md. Abdur Razzaque, A. M. Jehad Sarker, “An energy-efficient QoS aware multiconstrained MAC protocol for Body Sensor Networks”, Springer’s Multimedia Tools and Applications, April 2014.