2nd International Conference on Advances in Computing, Control
and Communication Technology (IAC3T-2018)
Name:Prof. M.M. Pant, Former Pro-VC, IGNOU,India
Topic:The importance of promoting public understanding of emerging Technologies and how to do it
Abstract: The MegaTrends heralding the 4th Industrial Age, suggest that those who will harness the potential unleashed by these will lead the future, and there is intense competition amongst countries to have a leadership position in terms of patents and high end research professionals in these fields. Another important dimension is a massive awareness and adoption of these by the population. India has attained unimaginable ubiquitous presence of mobile technology and is poised for a widespread proliferation of these technologies. It is not Technologies that will take away the jobs from humans, but it is the humans who integrate the latest technologies into their products and services that will displace those humans who will not do so. Along with the positive impact on economic growth, rapid scientific advances and technological change have pervasive effects on social structures and the daily life of individuals. Over the years, they have raised both expectations for increased well-being and concerns about possible risks associated with new technologies and adverse effects on the environment. Illustrative examples will be chosen from the fields of AI and allied technologies as also DNA and gene manipulation through methods such as CRISPR, and the promises that they hold.
Biography:Prof. M.M. Pant ( www.mmpant.net and www.mmpant.com ) is a Ph.D. in Computational Physics ( IIT, Roorkee), with a Professional Law degree ( Kanpur University) and pursues pedagogy, technology, curricula and entrepreneurial models for disruptively transforming education to align it to the 4th Industrial Age. Born at Allahabad on 22nd July, 1947 Professor M.M. Pant is an alumnus of the University of Allahabad, having acquired his B.Sc degree in 1964 and M.Sc ( Physics) from the University. Prof. Pant has a distinguished academic background and has continuously contributed in the academic field by way of publishing more than 100 Research papers in the varied fields and has been awarded the International Cup of Rome Award for scripting the best educational film named “ATOMS” which was produced at IIT, Kanpur in the year 1974. Prof. M.M. Pant is an internationally renowned expert specialising in pedagogy, technology and the development of tools and curricula for 21st enhance the pedagogy using latest available technologies. He is especially noted for his efforts in leveraging social media for improving learning and bringing the mobile into the classroom where it has been traditionally banned. Prof. Pant's current work and interests revolve around the development, delivery and promotion of educational products, processes and services that cater for the needs and interests of future learners, a framework that is named "Learning 221". His past roles include being the Former Pro-Vice Chancellor, Indira Gandhi National Open University (IGNOU) and being on the faculty of IIT, Kanpur (the premier engineering institution in India), MLNR Engineering College and Faculty as well as Visiting Professor, University of Western Ontario, Canada. He has been a visiting scientist at European research centres in Italy, England, Germany and Sweden. His current mission is to evangelise lifelong learning using Whatsapp on mobile, through which he runs weeklong and weekend programs on a variety of topics, spanning the domains of lifelong learning, entrepreneurship and technologies for the fourth Industrial Age driven by Artificial Intelligence and Machine Learning. Apart from being a sought after speaker in the national circuit, he has been invited to deliver keynotes at International events at Melbourne, Paris, Durban, Gaborene, Singapore, Tokyo, Penang amongst others. Prof. Pant is the founder of the LMP Education Trust, an organisation that promotes disruptive innovation in education.
Name:Dr. D.C. Pande, DRDO, India
Biography: Dr. D.C. Pande is Scientist & Associate Director at Electronics & Radar Development Establishment (LRDE). He received his Bachelor and Master Degrees in Electronics from Garhwal University, India in 1974 and 1976 respectively. He completed his Ph.D in Applied Physics in 1982 from University of Allahabad, India. Dr. Pande began his Scientific Career in 1981 with LRDE, (DRDO), MoD, India, where he was involved in the Design & Development of Electromagnetic Interference Control Techniques for Ground Based, Airborne and Ship-borne equipments and systems. He is a founder life member of society of EMC Engineers. He was awarded Certificate of Achievements by SUMMA Foundation of USA in 1989, Commendable Certificate by Integrated Guided Missile Development Program (IGMDP) in 1990, Megha Nath Saha Memorial Award of The Institution of Electronics & Telecommunication Engineers (IETE) in 1994, EMC Engineer of the Year 1998 of Society of EMC Engineers (India), Lab Scientist of the Year 2003 by DRDO, National Science Day Award of 2004, DRDO Scientist of the Year Award 2005 by Prime Minister in 2006, DRDO technology Group Award (2011), Certificate of Achievements by The Chief of Naval Staff in 2014 and Prof. S.N. Ghosh Award of IETE Allahabad Centre in 2015. He has taught the subject of EMI/ EMC/ EMP/ ESD/ HPM/ lightning all over the country both to Defence and Civilians. He is the Vice-Chairman and a founder life member of DRDO.
Name:Dr. Rubaiyat Yasmin, University of Rajshahi, Bangladesh
Topic:Handling the Hurdles: Time-varying property of channels and bandwidth limitations in wireless communication systems
Abstract: The efficiency of communication systems such as mobile radio and HF channels is drastically affected by rapidly time-varying characteristics and multipath fading. Sophisticated channel estimators can provide a reliable solution to time-varying characteristics of a channel. Our group works on finding novel channel estimation and equalization techniques for the purpose of enhancing the efficiency, channel capacity and reliability of wireless communication systems. The tracking ability of the LMS algorithm in a rapidly time-varying environment is investigated by some prediction based techniques but it opens further research issues. Our focus is to design an efficient channel estimation technique to improve the tracking performance for rapidly time-varying channels. We concentrate on using amplitude-division based parallel least mean square (ADPLMS) algorithm; dividing the amplitude range of the estimator coefficients, the time-varying effect is alleviated in a divided manner. This algorithm is implemented with both of the uniform and nonuniform amplitude division techniques. When the channel output is corrupted with potential outliers, the performance may degrade. An effective channel equalizer with an impulse noise suppression technique can provide better solution in such a case. We investigated such type of noisy environment and handled it with an adaptively thresholded estimation based channel equalization technique. Efficiency of the modern communication system depends on the bandwidth utilization. Conventional equalization is usually constrained with bandwidth limitation due to handling the training sequence. Hence, blind channel equalization can be effective. To suppress impulse noise effectively, the combination of order statistics (OS) and adaptive thresholding is considered. Today’s service-oriented world needs to have improved spectral efficiency. Non-orthogonal Multiple Access (NOMA)technique seems to be promising as it uses power domain multiplexing scheme, not frequency-division multiplexing scheme. We also focus on finding simple but effective power allocation scheme for multiple users in NOMA based wireless communication system.
Biography: Professor Rubaiyat Yasmin achieved her PhD degree from the department of Mathematics, Electronics and Informatics, Saitama University, Japan in 2011. Her research work was on Communication Signal Processing area. She did her M.Sc. degree from Global Information and Telecommunication Studies (GITS), Waseda University, Japan in 2005. Her research work was on Sensor Network based Image Processing. Dr. Yasmin also achieved her another M.Sc. degree in Communication System in 1999 and B.Sc. in 1996 from the Department of Applied Physics and Electronic Engineering, University of Rajshahi, Bangladesh. She was the founder faculty of the Department of Information and Communication Engineering, University of Rajshahi, Bangladesh in 2000. Currently she is serving as a Professor in the same department. She also acted as a dean (Adjunct) of Electrical and Computer Engineering Faculty, Bangladesh Army University of Engineering and Technology (BAUET), Bangladesh from 2015. She is serving as a head (Adjunct) in the Department of Information and Communication Engineering at BAUET as well. She published around 25 journal papers in her research area. She participated in organizing national and international conferences. Apart from being a researcher in signal processing area, her interest is also on encouraging women in Engineering, she is working on inclusion of more women in Engineering area. She is currently doing research on Channel Equalization and Estimation Techniques for Wireless Communication and Non-orthogonal Multiple Access (NOMA) techniques. She presented a number of conference papers in home and abroad.
Name:Professor Mirza A.F.M. Rashidul Hasan, University of Rajshahi, Bangladesh
Topic:Pitch Detection in Noisy Environment
Abstract:Speech is the most important mode of human communication. The reliable detection of pitch is essential in a wide range of applications, such as speech analysis-synthesis systems, speech enhancement, speaker recognition and related fields such as acoustical phonetics, analysis of signing, and impaired voice. Achieving robust and accurate pitch detection is one of the most important problems in speech signal processing. Much research has been carried out in the last half-century, however, there is no well known method exists which provides the necessary preciseness, reliability, and robustness.
This talk introduces two efficient methods for detecting pitch in noisy speech. The first one is based on the windowless and normalized autocorrelation functions in time domain & the second one is based on the windowless autocorrelation function and cepstrum in frequency domain. The performance of the proposed methods are compared with well known existing method in terms of gross pitch error, fine pitch error and root mean square error. A comprehensive evaluation of the pitch detection results in white and color noises shows the superiority of the proposed method over some of the related methods under low levels of SNR. These results demonstrate that the proposed methods can be a suitable candidate for pitch detection in noisy environment.
Biography: Professor Mirza A.F.M. Rashidul Hasan achieved his D.Engg. degree from the department of Mathematics, Electronics and Informatics, Saitama University, Japan in 2012. He worked on Speech Signal Processing. Before that he completed his PhD on Ground Water Modelling from the Department of Applied Physics and Electronic Engineering, Islamic University, Bangladesh in 2009. Dr. Hasan did his M.Phil. and M.Sc. degree in the same field from the Department of Applied Physics and Electronic Engineering, University of Rajshahi, Bangladesh in 2001 and 1997 respectively. He did his B.Sc. degree from the same department in 1995. Currently Dr. Hasan is serving as a Professor in the department of Information and Communication Engineering, University of Rajshahi, Bangladesh. He was a Visiting researcher at Gbobal Information and Telecommunication Institute (GITI), Waseda University, Japan in 2004. He was a Junior Fellow in International Water Management Institute (IWMI), Srilangka in 2006. He is also serving as a head (Adjunct) in the Department of Computer Science and Engineering, Bangladesh Army University of Engineering and Technology (BAUET), Bangladesh from 2015. Dr. Hasan published around 55 journal papers in Speech Signal Processing and Ground Water Modeling area and presented papers in various international conferences.
Name:PROF.DR. SUBARNA SHAKYA, Tribhuvan University, Nepal
Topic:Security Issues and Challenges in SAAS environment in Cloud Computing
Abstract: Cloud computing delivers the resources as a various services over the network. Security is one of the major issues in the cloud computing. The main advantages of cloud computing are scalability, resilience, flexibility and efficiency. The cloud computing offers an innovative business environment model for organizations to adopt IT services without upfront investment. The keynote address shall focus upon the analysis of the cloud computing security issues and challenges pertaining to Software as a Service of cloud computing.
Biography: Subarna Shakya holds Ph.D. in Computer Engineering from Lviv Polytechnic National University, Ukraine. He served as Executive Director at National Information technology Center, Government of Nepal and also head of Department of Electronics and Computer Engineering, Director of Center for Information Technology and Chairman of Electronics and Computer Engineering Subject Committee, Institute of Engineering, Tribhuvan University. He has also served as coordinator of EURECA (European Research and educational collaboration with Asia) and IDEAS (Innovation and Design for Euro-Asian Scholars) project is financed by the European Commission through the Erasmus Mundus Program .He is Professor of Computer Engineering at Department of Electronics and Computer Engineering, Pulchowk Campus, Institute of Engineering, Tribhuvan University and also Visiting research Professor in the University of Rhode Island, USA. He is the advisor member of National Information Technology Committee, Government of Nepal.He has published more than 80 technical and policy related papers in national as well as international reputed journals. He is steering committee member in School on Internet (SOI), Kieo University, Japan. He is presently serving as project coordinator of LEADER (Links in Europe and Asia for engineering, education, Enterprise and Research exchanges) financed by the European Commission through the Erasmus Mundus. He has delivered his key note speech in Seoul National University, South Korea and in the 16 International Multi Topic Conference (INMIC) 2013, 18 Dec 2013, Lahore, Pakistan organized by University of Engineering and Technology and IEEE and Invited Speaker in "e-Government Implementation in Nepal, 8 Oct 2012 at San Diego University, San Diego, USA as well as on "e-Government initiative and adopting Cloud computing as an e‐Government Platform in Nepal" 8 Oct 2014 at University of Nevada, Las Vegas, USA. He has given key note speech on "Implementing Cloud Service Models in e-Government at IEEE ICCCA, 29 April, 2016 at Galgotias University, India. He has also Invited Speaker in "the Cloud computing for e-Government Implementation” 3 Oct 2016 at Santa Clara University, Santa Clara, San Francisco , USA. He has given key note speech on "Cloud Computing for Sustainable development" at IEEE ICCCA, 6 May 2017, at Galgotias University, India and also key note speech on “Cloud Computing security and challanges “, 11 January 2018, “IEEE 8th International Conference on Cloud Computing, Data Science & Engineering” Organized by Amity University, Noida, India. He has given key Note speech on “Security Issues in Cloud Computing”, IEEE International Conference on Power, Energy, Signal and Automation (ICPESA '18), 25th and 26th May 2018, Chennai, India. He is the expert member of Board of studies in South Asian University, India. He was awarded young scientist award from Nepal academy of science and technology.
He is the Life Member of Indian society for mathematical modeling and Computer Simulation, IIT, Kanpur, India, Member of IEEE, Member of the Society of Digital Information and Wireless Communications, Senior Member of International Association of Computer Science and Information Technology (www.iacsit.org), Hon. Fellow Member of Scientific Society of Advanced research and social change, www.ssarsc.org and Senior member of science and engineering institute, (SCIEI), www.sciei.org. He is keen interest in research and development of ICT, e-government system, Information security for e-Government system, multimedia system, Computer Systems simulation and modeling, Cloud computing & Security, Energy Efficiency in cloud computing, Information system, computer architecture and software engineering.
Name:Dr. Sandeep Paul, Dayalbagh Educational Institute, India
Topic: DEEP COMPUTATIONAL INTELLIGENCE MODELS
Abstract: The computational intelligence (CI) paradigm is a triumvirate of three technologies neural networks, fuzzy logic, and evolutionary algorithms which stresses their seamless integration, resulting in numerous important spin-of commercial applications. The integration of these technologies has assumed various forms such as neuro-genetic, genetic fuzzy and neuro-fuzzy-evolutionary hybrids. To address real world complex problems specially with high dimensional data, models with deep architectures are showing promising path for efficient and robust solutions. Deep architecture systems have deep multi-layer structure and represents hierarchical information which is more robust and reusable than the classical neural network approaches. The hybridization of fuzzy and evolutionary algorithms with such deep architecture systems is in its nascent stage. The inherent challenges like structure and parameter learning, automatic feature extraction and learning algorithms in deep architectures systems are yet to be fully explored. The theoretical analysis of such deep architectures models is another area to be worked on and is much needed.
Biography: Dr. Sandeep Paul is presently Associate Professor in the Department of Physics and Computer Science, Dayalbagh Educational Institute, India. He received his Bachelor of Technology degree in Electrical Engineering from AMU in 1992, the Master of Technology degree in Engineering Systems and Doctor of Philosophy from Dayalbagh Educational Institute in 1995 and 2003 respectively. He has been involved in teaching and research in the field of Computational Intelligence for more than two decades. He was a visiting fellow at University of Waterloo during 2012. His current research interests are in artificial deep networks, theoretical aspects of neural networks, spiking neural networks, fuzzy systems, machine consciousness, modelling of hybrid evolutionary-neuro-fuzzy systems and their applications in various domains such as pattern recognition, time series prediction and analysis, multi-modal emotional state classification, diabetic retinopathy diagnosis and autonomous robotics.
Dr. Paul is IEEE Senior Member and he is a life member of Systems Society of India. He is recipient of Young Scientist Award for Systems Theory in 2010 for outstanding theoretical work and application of systems theory. His work is published in IEEE transactions and other international journals and proceedings. He has been on the review boards of the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Evolutionary Computation. He is member of national/international programme committee of many conferences. Dr. Paul has delivered keynotes talks and invited talks in various international and national workshops and conferences. He has organized special sessions in international conferences and has been session chair in many conferences/workshops.
Name:Dr. Nishchal K Verma, Indian Institute of Technology (IIT) Kanpur, India
Topic: Deep Fuzzy Networks
Biography: Dr. Nishchal K Verma is an Associate Professor in Dept. of Electrical Engineering, Indian Institute of Technology (IIT) Kanpur, India. He obtained his PhD in Electrical Engineering from Indian Institute of Technology (IIT) Delhi, India. He is an awardee of Devendra Shukla Young Faculty Research Fellowship by Indian Institute of Technology Kanpur, India for year 2013-16.
His research interests include intelligent fault diagnosis systems, prognosis and health management, big data analysis, deep learning of neural and fuzzy networks, machine learning algorithms, computational intelligence, computer vision and image processing, brain computer/machine interface, intelligent informatics, soft-computing in modelling and control, internet of things/ cyber physical systems, cognitive science. He authored more than 200 research papers.
Dr. Verma is the Fellow of IETE and Senior Member of IEEE. He is currently serving as an Editor of the IETE Technical Review Journal, an Associate Editor of the IEEE Computational Intelligence Magazine, an Associate Editor of the Transactions of the Institute of Measurement and Control, U.K. and Editorial Board Member for several journals and conferences.
Name:Dr. R. K. Sharma, Distinguished Scientist and the Director of Solid State Physics
Laboratory under Defence Research and Development Organization, India
Topic: Focus Areas in Advanced Computing, Control and Communication Technologies for Battlefield Superiority
Abstract: The modern battlefield superiority requires advanced capabilities in high level artificial intelligence with cognitive computing, precisely controlled unmanned/ autonomous vehicles, cognitive radio, long range radars, high bandwidth mesh networks, advanced sensors etc. The key basic technologies involved therein include High-performance trusted computing/networking, , Artificial Intelligence, Microwave Monolithic Integrated Circuits, Sensors etc. A glimpse of indigenous efforts in relevant technology areas would be given.
Biography: Dr. R. K. Sharma, currently a Distinguished Scientist and the Director of Solid State Physics Laboratory under Defence Research and Development Organization,