Advances in Computational Intelligence Techniques

Dr. Shruti Jain is Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India and has received her Ph.D. in Biomedical Image Processing. She has a teaching experience of around 15 years. Her research interests are Soft Computing, Image and Signal Processing, Bio-inspired Computing and Computer-Aided Design of FPGA and VLSI circuits. She has published more than 07 book chapters, 60 papers in reputed journals, and 40 papers in International conferences. She has also published five books. She is a senior member of IEEE, life member and Editor in Chief of Biomedical Engineering Society of India and a member of IAENG. She has completed one externally funded project and one in the pipeline. She has guided 01 Ph.D. student and now has 06 registered students. She is a member of the Editorial Board of many reputed journals. She is also a reviewer of many journals and a member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19.Dr. Meenakshi Sood is Associate Professor in National Institute of Technical Teachers Training & Research, Chandigarh, MHRD, GOI, India She is Gold medalist in her M.E (ECE) and holds a Ph.D. in Biomedical Signal Processing. Her research interests are in Bio-inspired Computing, Image and Signal Processing, Antenna design, Metamaterials and Soft Computing. She has published more than 50 papers in reputed journals and 60 papers in international conference proceedings. She is a senior member of the IEEE and life member of the Institute of Engineers, Biomedical Engineering Society of India, and a member of the IAENG. She has two externally funded projects and has another one in the pipeline. She has published two books for undergraduates.Dr. Sudip Paul is currently an Assistant Professor in Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India since 2012. He completed his Post doctoral research at School of Computer Science and Software Engineering, The University of Western Australia, Perth. He was one of the most precious fellowship awardee (Biotechnology Overseas Associateship for the Scientists working in North Eastern States of India: 2017-18 supported by Department of Department of Biotechnology, Government of India). Apart from this affiliation, he is also as. He received his Ph.D degree from Indian Institute of Technology (Banaras Hindu University), Varanasi with specialization in Electrophysiology and brain signal analysis. He has many credentials in his credit out of which his First Prize in Sushruta Innovation Award 2011 sponsored by Department of Science and Technology, Govt. of India and also he also organized many workshops and conferences out of which most significant are the 29th Annual meeting of the Society for Neurochemistry, India and IRBO/APRC Associate School2017. Dr. Sudip published more than 90 International journal and conference papers and also filled four patents. Recently he completed three book projects and two are ongoing as editor. Dr. Sudip is a member of different Societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE and many more since 2009, 2010, and 2011 onwards. He received many awards specially World federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee and ISN Travel Awardee. Dr. Sudip also contributed his knowledge in different international journals as editorial board members. He has presented his research accomplishments in USA, Greece, France, South Africa and Australia.

• Accent Classification of the Three Major Nigerian Indigenous Languages Using 1D CNN LSTM Network Model.- Automatic Glaucoma Diagnosis in Digital Fundus images using Deep CNNs.- Deep Learning based Diabetic Retinopathy Prediction of Colored Fundus Images with Parameter Tuning.- Fractal Analysis of Heart Dynamics during Attention Task.- Assessment of Health Care Techniques in IoT.- English Numerals Recognition System using Novel Curve Coding.- Clustering and Employability Profiling of Engineering Students.- Universal Approach for Detection of Spot Diseases in Plants.- Stereo Camera and LIDAR Sensor Fusion based Collision Warning System for Autonomous Vehicles.