Proceedings of International Joint Conference on Advances in Computational Intelligence

Mohammad Shorif Uddin received Ph.D. in Information Science from Kyoto Institute of Technology, Japan, Master in Technology Education from Shiga University, Japan, Bachelor of Science in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET), and also MBA from IBA, Jahangirnagar University. Mohammad Shorif Uddin joined in the Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, in 1992 and currently working as a professor of this department. Besides, Mohammad Shorif Uddin also served as the Departmental Chairman from June 2014 to June 2017. In addition, Mohammad Shorif Uddin serves as an adviser of the School of Science and Engineering, ULAB. Mohammad Shorif Uddin began teaching career in 1991 as a lecturer of the Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology (CUET).  Dr. Jagdish Chand Bansal is an associate professor (Senior Grade) at South Asian University New Delhi and a visiting professor at Maths and Computer Science, Liverpool Hope University UK. He also holds a visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an assistant professor at ABV—Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, spider monkey optimization (SMO), which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is the section editor (editor-in-chief) of the journal MethodsX published by Elsevier.

• Predicting Heart Disease Risks using Advanced EEG Data Processing and Machine Learning: A Review.- Enhancing Foreign Exchange Market Volatility Forecasting through Ensemble Machine Learning: A Comprehensive Study.- A Transfer Learning Approach for Bangla Handwritten Digit Recognition.- Detection of Kidney Disease using a Novel Convolutional Neural Network from MRI Scans.- An Evaluation of Machine Learning Based Malware Detection Techniques for Combating IoT Cybersecurity Threats.