Advanced Deep Learning for Engineers and Scientists

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Dr. Kolla Bhanu Prakash is working as Professor and Research Group Head for Artificial Intelligence and Data Science Research Group in CSE DEPARTMENT, K L University, VIJAYAWADA, Andhra Pradesh, India. He received his M.Sc and M.Phil in Physics from Acharya Nagarjuna University, Guntur, India, M.E and Ph.D in Computer Science & Engineering from Sathyabama University,Chennai, India. Dr. Kolla Bhanu Prakash has 14+ years of experience working in the academia, research, teaching, academic administration. His current research interests include Deep Learning, IOT, Big Data Analytics and Natural Language Processing. He was the recipient of Best Speaker award during M.Sc. He has authored over 65+ research papers in various national and international journals and conferences. His publications are indexed in Scopus, Web of Science, DBLP and Google scholar. He is IEEE - Senior Member, Fellow - ISRD,  Reviewer - IEEE Access Journal, Treasurer - ACM Amaravathi Chapter, Life Member - ISTE, Reviewer and TPC member in National and International Conferences, IJRAR RMS MEMBER, International Journal of Research and Analytical Reviews, 6 Patents published, Reviewer - International Journal of Advanced Computer Science and Applications (IJACSA), Senior Member - theIRED [UACEE] and MEMBER - EXPERTS OF ACADEMIC EXCELLENCE RESEARCH CENTRE. He edited 7 books in International publishers like Elsevier, Springer, Wiley, CRC Academic press, Degryuter publishers. He is series editor in Wiley and CRC Academic press.

 Dr. Ramani Kannan is a Senior Lecturer in UniversitiTeknologiPETRONAS, Malaysia. He received his B.E degree from Bharathiyar University, India. Later on completed his M.E and PhD in Power Electronics and Drives from Anna University respectively. He holds more than 115 publications in reputed international and national journals and conferences. He is an active senior member in IEEE(USA), and members of IE(I), IET(UK), ISTE(I) and Institute of advance engineering and science. Dr. Ramani is recognized with many awards, including "Career Award for Young Teacher" from AICTE India,2012; " Young Scientist Award" in power electronics and Drives,2015; "Highest Research publication Award" 2017. Award for Outstanding Performance, Service and Dedication 2019 at UTP, Malaysiaand "Outstanding Researcher Award" in UTP Q Day 2019, Best Presenter Award, IEEE CENCON2019 international conference at Indonesia. EDITOR-Books "Sustaining Electrical Power Resources through Energy Optimization and Future Engineering" Springer Nature Singapore Pte Ltd 2018., andPractical Examples of energy optimization models Springer Nature Singapore Pte Ltd 2019.He has completed 5 funded projects and 7 research projects in progress with a total funding of RM 1080000.00. The grants are FRGS, ASEAN-India, YUTP, KETTHA and STIRF. He is the Editor-in-Chief for the journal of Asian Scientific Research (2011-2018) and Regional Editor for International Journal of Computer Aided Engineering and technology, Inderscience Publisher, UK from 2015.He is an Associate Editor in IEEE Access since 2018.Dr Ramani is servicing many guest editor such as Elsevier journal, Inderscience, IGI Global and IJPAM etc. His research interest involves in power electronics, inverters, modeling of induction motor and optimization techniques.

Dr. S. Albert Alexander is a Postdoctoral Research Fellow from Northeastern University, Boston, Massachusetts, USA. He is the recipient of prestigious Raman Research Fellowship from the University Grants Commission (Government of India). His current research focuses on fault diagnostic systems for solar energy conversion systems and smart grids. He has 13 years of academic and research experience. He has published 15 technical papers in international and national journals (including IEEE Transactions, IET, Elsevier etc.,) and presented 23 papers at national and international conferences. He has completed 4 Go

Introduction.- Introduction to ANN.- Introduction to Deep Learning.- Deep Soft Computing using Python.- Working with Keras.- Deep learning Applications using Python.- Advanced Deep learning techniques.- Conclusion.