Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering

Dr. M Shamim Kaiser is currently working as Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh, in 2002 and 2004, respectively, and the Ph.D. degree in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. His current research interests include data analytics, machine learning, wireless network and signal processing, cognitive radio network, big data and cyber security, renewable energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal, and Cognitive Computation Journal. He is Life Member of Bangladesh Electronic Society; Bangladesh Physical Society. He is also a senior member of IEEE, USA, and IEICE, Japan,and active volunteer of the IEEE Bangladesh Section. He is founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter. He organized various international conferences such as ICEEICT 2015-2018, IEEE HTC 2017, IEEE ICREST 2018, and BI2020.    Kanad Ray (Senior Member, IEEE) received the M.Sc. degree in physics from Calcutta University and the Ph.D. degree in physics from Jadavpur University, West Bengal, India. He has been Professor of Physics and Electronics and Communication and is presently working as Head of the Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan (AUR), Jaipur, India. His current research areas of interest include cognition, communication, electromagnetic field theory, antenna and wave propagation, microwave, computational biology, and applied physics. He has been serving as Editor for various Springer book series. He was Associate Editor of the Journal of Integrative Neuroscience (The Netherlands: IOS Press). He has been visiting Professor to UTM & UTeM, Malyasia and visiting Scientist to NIMS, Japan. He has established MOU with UTeM Malaysia, NIMS Japan, and University of Montreal, Canada. He has visited several countries such as Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland, Belgium, South Africa, Japan, Singapore, Thailand,and  Malaysia for various academic missions. He has organized various conferences such as SoCPROS, SoCTA, ICOEVCI,  and TCCE as General Chair and Steering Committee Member. Anirban Bandyopadhyay is Senior Scientist in the National Institute for Materials Science (NIMS), Tsukuba, Japan. He possesses a Masters of Science in Condensed Matter Physics, Computer, Numerical Analysis, and Astrophysics from North Bengal University and Doctor of Philosophy in Physics from Jadavpur University. He received his Ph.D. from the Indian Association for the Cultivation of Science (IACS), Kolkata. 2004–2005, where he worked on supramolecular electronics and multi-level switching. He has developed a resonance chain based complete human brain model that is fundamentally different than Turing tape essentially developing an alternate human brain map where filling gaps in the resonance chain is the key. He has developed unique a quantum music measurement machine and experiments on DNA proteins, microtubules, neurons, molecular machines, cancer. He has also developed a new frequency fractal model. His group has designed and synthesized several forms of organic brain jelly that learns, programs and solves problems by itself for futuristic robots during as well as several software simulators that write complex codes by themselves.  Dr. Kavikumar Jacob has been Associate Professor in the Faculty of Applied Sciences and Technology at Universiti Tun Hussein Onn Malaysia since 2006. In 2005, he obtained his doctor’s degree from Annamalai University, India. He has published more than 50 research papers including the International Journal of Fuzzy System, Physica A: Statistical Mechanics and its Applications, and the Iranian Journal of Fuzzy Systems. Most of the publications are listed on the Scopus page. His research interests are control theory, automata theory, fuzzy mathematics, and numerical analysis. Sie Long Kek is currently working as a senior lecturer in the Department of Mathematics and Statistics, Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia. He received his M.Sc. and Ph.D. in Mathematics from Universiti Teknologi Malaysia, Johor, Malaysia, in 2002 and 2011, respectively. He was a research associate at the Curtin University of Technology in 2009 during his Ph.D. study. His research interests include optimization and control, operation research and management science, modeling and simulation, parameter estimation, Kalman filtering, and computational mathematics. He has published more than 30 papers in refereed journals and six (6) book chapters. He is a reviewer for peer-reviewed research journals. He has led two (2) research projects supported by the Ministry of Higher Education Malaysia. He has supervised three (3) master students and three (3) Ph.D. students. During 2014–2019, he has visited Changsha University of Science and Technology, Mongolian National University, Hong Kong Polytechnic University, Chongqing Normal University, Jamal Mohamed College (Autonomous), Carleton University, Wuhan University, and Future University Hakodate.

• Part 1: Artifitial Intelligence and Soft Computing.- Chapter 1. Face Mask Detection in the era of COVID-19 : A CNN Based Approach.- Chapter 2. A Weighted Average Ensemble Technique to Predict Heart Disease.- Chapter 3. Nutritious Menu Planning For Sinusitis Patient In Malaysian Through Optimization Approach.- Chapter 4. Nutritious Menu and Nutrient Planning For Avoiding Stroke Disease by Using Optimization Technique.- Chapter 5. Application of Machine Learning to Traditional System for Analyzing the Conditional Results of School and College Students.- Chapter 6. Machine Learning Classication Algorithms for detecting depressive symptoms among University Students in Bangladesh.- Chapter 7. Performance Analysis of Deep Neural Network Models for Weather Forecasting in Bangladesh.- Chapter 8. Instantaneous Communication between Cerebellum, Hypothalamus, and Hippocampus (C-H-H) during Decision-Making Process in Human Brain-III.- Chapter 9. Bangla Depressive Social Media Text Detection Using Hybrid Deep Learning Approach.- Chapter 10. Implementation of Automated Attendance System using Deep Learning.- Part 2: Cognitive Science and Computational Biology.- Chapter 11. Cognitive engineering for AI: an octave drawing test for building a mathematical structure of a subconscious mind .- Chapter 12. A Hybrid CNN-LSTM based Emotional Status Determination using Physiology Signals.- Chapter 13. Effect of Sample Volume in Escherichia Coli Detection in Water using Double-decker Resonator.- Chapter 14. A Probit Regression in Identifying the Risk Factors of Cervical Cancer in Malaysian Private Hospital.- Chapter 15. Binary Programming for Primary School Diet Among Autism Children in Malaysia.