Innovations in Computer Science and Engineering

Dr. H.S. Saini, Managing Director of Guru Nanak Institutions, obtained his Ph.D. in the field of Computer Science. He has over 30 years of experience at university/college level in teaching UG/PG students and has guided several B.Tech. & M.Tech. projects and 6 Ph.D. scholars. He has published/presented above 90 high-quality research papers in international and national journals and proceedings of international conferences. He has published six books with Springer. He is a lover of innovation and is an advisor for NBA/NAAC accreditation process to many institutions in India and abroad. He is Chief Editor of many innovative journals and chairing various international conferences.Dr. Rishi Sayal, Associate Director, Guru Nanak Institute of Technical Campus, has completed his B.E. (CSE), M.Tech. (IT) and Ph.D. (CSE). He has obtained his Ph.D. in Computer Science and Engineering in the field of Data Mining from prestigious Mysore University of Karnataka State. He has over28 years of experience in training, consultancy, teaching and placements. His current areas of research interest include data mining, network security and databases. He has published wide number of research papers in international conferences & journals. He has guided many UG and PG research projects, and he is Recipient of many research grants from Government funding agencies. He is Co-Editor of various innovative journals and convened international conferences.Dr. Alisery Govardhan is presently Professor of Computer Science & Engineering, Rector, JNTUH, and Executive Council Member, Jawaharlal Nehru Technological University (JNTUH), Hyderabad (JNTUH), India. He did his Ph.D. from JNTUH. He has 25 years of teaching and research experience. He is Member on Advisory Boards & Academic Boards and Technical Program Committee Member for more than 85 international and national conferences. He is Member on Boards of Governors and Academic Councils for number of colleges. He has 3 monographs and 10 book chapters in Springer, Germany. He has guided 85 Ph.D. theses, 1 M.Phil. and 135 M.Tech. projects. He has published 555 research papers at international/national journals/conferences including IEEE, ACM, Springer, Elsevier and Inderscience. He has delivered more than 100 keynote speeches and invited lectures. He has chaired 22 sessions at the international/national conferences in India and Abroad. He has the Research Projects (Completed/ Ongoing) worth of Rs. 1.159 Crores.Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as Founding CEO of Manjrasoft Pvt. Ltd., a spin-off company of the university, commercializing its innovations in cloud computing. He served as Future Fellow of the Australian Research Council during 2012–2016. He received his Ph.D. from Monash University,Melbourne, Australia, in 2002. Dr. Buyya has authored/co-authored over 625 publications. He has co-authored five textbooks and edited proceedings of over 26 international conferences. He is one of the highly cited authors in computer science and software engineering (h-index=134, g-index=298 and 95,300+ citations). He has edited proceedings of over 25 international conferences published by prestigious organizations, namely the IEEE Computer Society Press and Springer Verlag.

• Chapter 1. Static and Dynamic Activities Prediction of Human using Machine and Deep Learning Models.- Chapter 2. Implementation of Braille Tab.- Chapter 3. Resized MIMO Antenna for 5G Mobile Antenna Applications.- Chapter 4. Molecule 4 Port Antenna Is Utilizing Detachment Progress of MIMO.- Chapter 5. IOT Based Under Water Wireless Communication.- Chapter 6. Pattern Prediction using Binary Trees.- Chapter 7. Fruit Recognition Using Deep Learning.- Chapter 8. Cross-domain Variational Capsules for Information Extraction.- Chapter 9. Automotive Accident Severity Prediction using Machine Learning.- Chapter 10. Analysis of Quality of Experience (QoE) in video streaming over Wi-Fi in real time.- Chapter 11. Self Driven UGV for Military Requirements.- Chapter 12. Vehicular Ant Lion Optimization Algorithm(VALOA) for Urban Traffic Management.- Chapter 13. Dynamic and Incremental Update of Mined Association Rules against Changes in Dataset.- Chapter 14. E-Governance using Big Data.- Chapter15. Implementation of Voice Controlled Hot and Cold Water Dispenser System Using Arduino.