International Conference on Advances in Computing, Control
and Communication Technology (IAC3T-2016)
Name:Prof. A. K. Chaturvedi, IIT Kanpur, India
Topic:Signal Processing in Emerging Wireless Communication Systems
Abstract:Multiple input multiple output (MIMO) systems are an integral part of various wireless standards such as 4G, WiMax and 802.11n. They also seem indispensable for future wireless communication systems such as 5G etc. The reliability of receivers in MIMO systems depends critically on the availability of efficient detection algorithm which can also provide reasonable error performance. Motivated by this, promising algorithms/tools from other fields have been investigated in the communications literature. For example, sparse recovery techniques which have been used in the context of machine learning are now being explored for detection in MIMO receivers. Similarly, heuristics based neighborhood search algorithms, semi definite relaxation based algorithms from optimization theory and lattice reduction based algorithms from lattice theory have been investigated. Although some of these algorithms have reasonably low complexities, their reliability performance needs further improvement. In this talk we will discuss some of these algorithms and also look for ways to improve their reliability so that the need for future wireless communication systems can be met.
Biography:Dr. Ajit Chaturvedi obtained the B.Tech, M.Tech, and Ph.D. degrees in Electrical Engineering, from IIT Kanpur. He worked at IIT BHU, Varanasi and IIT Roorkee before joining the Department of Electrical Engineering at IIT Kanpur in 1999. He was the Head of the Department during 2009-2010, Dean of Research & Development at IIT Kanpur during 2011-2014 and is currently the Deputy Director of the institute. He is also the Coordinator of the BSNL-IITK Telecom Centre of Excellence at IIT Kanpur. Dr. Chaturvedi is currently the Chair of the Joint Telematics Group which organizes NCC, he is a founding member of TSDSI, a member of the NEC of the Communications Society of IEEE and a member of the COMSNETS Board. Dr. Chaturvedi is a recipient of the Distinguished Teacher award of IIT Kanpur. His research interests are in the area of Communications Theory and Wireless Communications.
Name:Prof. David Eduardo Pinto, BUAP, Mexico
Topic:Automatic Identification of Verbal Phraseological Units
Abstract:Verbal Phraseological Units are linguistic structure made up of two or more words in which at least one of the words is a verb that plays the role of the predicate. One of the characteristics of this type of expression is that its global meaning rarely can be deduced from the meaning of its components. The automatic recognition of this type of linguistic structures is a very important task, since they are recognized to be a standard way of expressing a concept or idea associated to a particular domain, language or geographical location. In this talk we present an overview about the automatic identification of verbal phraseological units. We explore the use of machine learning methods, linguistic approaches, so as we study them from the perspective of opinion mining.
Biography:Dr. David obtained his Ph.D. in computer science in the area of AI and pattern recognition from the Universidad Politécnica de Valencia, Spain in 2008. At present he is a full time professor at the Faculty of Computer Science of the Benemérita Universidad Autónoma de Pue-bla (BUAP). His areas of interest include clustering, information retrieval, cross-lingual NLP tasks and computational linguistics in general. At present, Prof. Pinto is the leader of the Language & Knowledge Engineering lab in which he has published more than 70 papers in journals and conferences. He has led more than 10 granted projects, he has supervised more than 30 theses at different academic levels and he owns 4 products registered at the Mexican Authors Rights Office. He also has work experience in private institutions, providing services of consulting.
Name:Prof. D. P. Vidyarthi, JNU, New Delhi, India
Topic:Green Computing: Few Energy Efficient Scheduling Models
Abstract:Energy consumption by big data centres, computational grid etc. is increasing at enormous rate in recent times. Cost of powering & cooling accounts for 53% of total operational expenditure of data centres. In 2006, US data centres consumed more than 1.5% of the total annual energy generated, which is projected to grow 18% annually. Energy efficient hardware architecture that enables slowing down CPU speeds and turning off partial hardware components is gaining popularity. Energy-aware job scheduling and server consolidation reduce power consumption by turning off unused machines. Recent research emphasizes on energy-efficient network protocols and infrastructures. While making any algorithm energy efficient, there is a trade-off between energy savings and performance. The talk is supposed to discuss few energy efficient scheduling models.
Biography:Deo Prakash Vidyarthi, joined JNU as Associate Professor in the year 2004 after serving in the Department of Computer Science of Banaras Hindu University, Varanasi for more than 12 years. He is currently working as Professor in the School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi. Dr. Vidyarthi has published around 70 research papers in various International Journals and Transactions (including IEEE, Elsevier, Springer, Wiley, World Scientific etc.) and around 35 research papers in proceedings of various peer-reviewed conferences in India and abroad. He has contributed chapters in many edited books and volumes. He is in the editorial board of many International Journals and also in the reviewer’s panel of many International Journals. Dr. Vidyarthi has co-authored a book (research monograph) entitled “Scheduling in Distributed Computing Systems: Design, Analysis and Models” published by Springer, USA released in 2009. Another book (edited) by Dr. Vidyarthi is “Technologies and Protocols for the Future Internet Design: Reinventing the Web”, by IGI-Global (USA) released in the year 2012. Dr. Vidyarthi is the member of the IEEE, International Society of Research in Science and Technology (ISRST), USA, senior member of the International Association of Computer Science and Information Technology (IACSIT), Singapore and International Association of Engineers (IAENG). His research interest includes Parallel and Distributed System, Grid and Cloud Computing, Mobile Computing. He can be approached at email@example.com, firstname.lastname@example.org.
Name:Dr. D. C. Pande, Ex-Director, LRDE, DRDO, Bengaluru, India
Topic:Emerging Trends in Radar Technology
Abstract:With the ubiquitous advancement in the field of computing & information science, control engineering, wireless communication, optical communication, microwave photonics, VLSI design and embedded systems have revolutionized the design of new class of smart and intelligent radars. In this talk the proliferation of these emerging technologies in the future radars has been emphasized briefly. The technologies will be discussed namely Antenna Technology, Digital Array Radar Technology, Passive Radar Technology, MEMO Radar Technology, UWB Radar Technology, Cognitive Radar Technology, SAR Radar Technology FoPEN SAR Technology and Photonics for Radar Technology.
Biography:Dr. Devendra Chandra 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 SN Ghosh Award of IETE Allahabad Centre in 2015.
Name:Dr. Gopalasamy Athithan, Distinguished Scientist and CC R&D (SAM), DRDO, New Delhi, India
Topic:Modelling of Associative Memory
Abstract:Memory is the basis of intelligence and knowledge. A fundamental characteristic of human memory is its ability to recall previously memorised patterns based on partial content or clues. Much of our intelligent thought and behaviour owes itself to this characteristic known as associative memory capability. Simulating human intelligence has to start with modelling of associative memory drawing profitably from an understanding of how the human brain works. In particular, an understanding of how human memory and language faculties function can help in realising technical solutions that exhibit the kind of intelligence normally associated with human activities. Over the last hundred years, neurophysiological studies of the animal brain have generated a good deal of information about its anatomy and functioning. These studies have also looked at the human brain, and today we know that its basic building blocks are neurons and the loci of our knowledge are the neural interconnection strengths. Starting with an overview of current understanding of the physiology of the human brain, this talk would highlight the links between structure and function in the context of human memory. It would enumerate the essential characteristics of human memory and present the details of a plausible neural network model proposed by Hopfield. When the Hopfield Model of human memory was analysed soon after its proposal, two problems surfaced that had to be addressed. For the problem connected with spurious patterns, a critical inhibition stimulus of a suitable magnitude can be used to circumvent the spurious patterns. The inability of the standard Hopfield model to learn correlated patterns, the second problem, is solved by the application of three generic guidelines in designing learning algorithms for neural networks. The talk would explain this model, these two problems and their solutions, and point out that the problem-free version of this model of associative memory can be a credible building block for realising intelligence in computers.
Biography:Dr. G. Athithan, DS assumed the charge of Chief Controller R&D (SAM) w.e.f. 14 Sep 2015.He received his B.E. (Hons) degree in Electronics and Communications in 1981 from Madras University. He received his Ph.D. degree in Physics (Neural Networks) in 1997 from the Indian Institute of Technology, Bombay. After receiving his B.E. . In August 1982 he joined the Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam. He worked in IGCAR for six years. His current research interests are Information Security Management, Computational Intelligence, Network Data Mining, and Cyber Security Technologies.Dr. Athithan was selected as a Young Associate of the Indian Academy of Sciences in 1989. He received the Scientist of the Year award from DRDO for the year 1998. He received the R & D Excellence award for year 2006 from Bharat Electronics Ltd. he received the Agni Award for Excellence in Self-Reliance for the year 2008 from DRDO.
Name:Mr. Kaivalya Vishnu, European Head (Reporting and Analytics Technologies), Bank of America, UK
Topic:Technology Architecture & Governance for Effective Risk Management
Abstract:In the aftermath of financial crisis of 2008-09, a massive transformation has taken place in policy, regulatory and business environment in almost all industry verticals. Changes have been much more dramatic during the last decade which has led to many uncertainties affecting all aspects of life in general and businesses in particular. This has led to the development of Risk management as a vital stream in the business strategy. Many frameworks, practices, models and technology platforms have emerged to help businesses manage these risks. However it always remains a challenge to derive the maximum value from the technology because of a lack of focus on architecture, governance and organizational alignment. In this discussion we will look into some of the emerging practices of technology architecture, governance and management framework. Though I have used the context of financial industry to put forward my insights, but these concepts are pretty transferable to any other industry verticals.
Biography:Kaivalya Vishnu, an Allahabad University alumnus, is a technology executive with 22 years of rich diversified experience in designing & delivering technology solutions across various industry sectors. He has held various positions at firms such as Bank of America, Barclays, Royal Bank of Scotland, Standard & Poor’s, Fitch Ratings, Samsung Corporation, 3Com & Lucent Technologies across locations in India, USA, UK and South Korea. He has built up his career specializing in technology development & management that helps businesses maximize their return on technology investment by adopting the best practices in business technology integration and in Program Management, Global Delivery framework and an optimal people-process-technology operating model. Currently based in London, he is the European Head of Reporting & Analytics technology to support the liquidity risk management business at Bank of America Merrill Lynch. He has been leading several initiatives to build strategic data, analytics and reporting platform to strengthen the reporting framework, operational work flows and data governance. He has led several regulatory programs such as Basel III & Stess Modeling. Kaivalya holds an executive MBA from Cass Business School, London and Masters in Computer Sciences from University of Allahabad. He is also a visiting faculty at Cass Business School London and has co-authored several papers published in academic/management journals.
Name:Dr. Narayan Panigrahi, Scientist-‘F’, CAIR, DRDO, Bengaluru, India
Topic:Spatio-Temporal Computing Methods
Abstract:Advent of high spatial, spectral, radiometric and temporal resolution sensing has resulted in increased availability of high volume spatial data. This has led to creation of spatial data infrastructure by different sources and agencies for ease access of spatial data to different section of the users through enterprise wide network and through cloud. This has witnessed an increase research to develop innovative computing solutions for visualization, analysis, simulation and measure spatio-temporal information from large volume spatial data. The class of computing techniques and algorithms are called spatio-temporal computing and can be categorized into different sections of Geographic Information science (GISc) such as Computational Geodesy, cartography, spatial statistics, and spatial interpolation, Photogrammetry, Radargammetry, and Bathymetry etc. The traditional geometry has morphed into different forms such as computational geometric algorithms (CAGL), Affine Geometric transformations, Differential geometric algorithms, hyperbolic geometry transformation, projective and Remanian geometric transformations etc. to address the need of modelling, visualization and analysis of spatio-temporal data. Often these algorithms are bundled in different forms in a specialized software systems known as Geographic Information System (GIS), Photogrammetric systems or spatial information system (SIS).Few military applications of these computing techniques are discussed for understanding the utility of these computing techniques.
Biography:Dr Narayan Panigrahi, Scientist-‘F’ in Center for AI and Robotics (CAIR) a premier Lab of DRDO in Bangalore, India. Is a alumnus of J K Institute of Applied Physics and Technology. He is the best graduate and gold medallist of the Berhampur University, Orissa, in the year 1987. He has earned his M. Tech (Computer Science and Data Processing), and PhD from IIT, Kharagpur and IIT, Bombay in the year 1999 and 2012 respectively. He has authored four books namely “Computations in Geographic Information System” and “Geographic Information Science”, Published by CRC Press US. One of his book is written in Hindi named “Bhaugolok Suchana Vigyan”. He has three patents to his credit and has published thirty four research papers in international conferences and journals. One of his research paper is awarded best research award by INRIA, France. His research interest is in design and development of Spatial Information System. Design and optimization of spatio-temporal computing algorithms and computation geometric algorithms
Name:Mr. Ravindra Kundu, Specialist-Technical Training, Sunlife Financial Services Pvt. Ltd., New Delhi, India
Topic:Big Data: Future Perspective and its Implementation
Abstract:Mr. Ravindra will discuss what is Big Data, How it is being implemented in different sectors, Future Perspective, Insights of Big Data and Big Data - Hype v/s Reality.
Biography: Mr. Ravindra Kundu received the Bachelor of Technology (B. Tech.) in Information Technology degree from Rajasthan University, India, in 2010. He is currently working as Specialist-Technical Training at Sunlife Financial Services Pvt. Ltd. He served as Lead Technical Consultant at IBM Training Solutions form May 2013 – August 2015 and also served as Technical Consultant at IBM Business Partner February 2011 – May 2013.
Name:Mr. Shahid Farooqui, IISER, Kolkata, India
Topic:Role of Open Source Software in Science, Engineering & Education
Abstract:Free and Open Source Software (FOSS) can be classified as both free software and open source software. Anyone is free to copy, use and modify the software in any way he wants, and the source code is openly shared so that people are encouraged to voluntarily improve the design of the software. Supporting and adopting Open Source Software is a great help for the society as well as for the country. FOSS allow freedom in our education system. Improve the quality of education, instruction and learning. It creates a constructive and innovative learning and teaching environment. It enables and motivates students, faculty and others to use open source software tools instead of proprietary software. Interest in FOSS is growing globally, particularly in developing countries. Governments are considering policies to promote its use, businesses are recognizing its potential and various other sectors are giving increasing attention to the opportunity for localization that it presents. The talk focuses on how we can fulfil the computing need of an institution or a university by adopting open source software. It also suggests open source alternative of various proprietary software used in an education institute.
Name:Mr. Shivpal Singh, Scientist-F, Project Director ‘NAG’, DRDL, Hyderabad, India
Topic:Development of Missile Technologies by DRDO (Ministry of Defence, Govt. of India)
Abstract: Missiles play big role in defence of a nation. Therefore, it is imperative that emphasis on development of Missile Systems as Weapons should be given. Self-reliance is very important aspect of nation’s development, security and deterrence. Development and induction of highly reliable and effective missiles into Indian Armed forces (Army, Navy and Air-force) is the main objective of DRDO. Technologies for different types of missiles serving main purpose of Armed Forces have been developed by DRDO as a part of Integrated Guided Missile Development Programme (IGMDP). Different types of Missiles viz. Agni, Prithvi, Akash, NAG, Dhanush, etc. have been developed by DRDO. Most of these missiles have been inducted into Armed Forces. The following Missiles have been developed under IGMDP Programme of DRDO.
Biography:Shivpal Singh Sachaan is Scientist-F, Project Director ‘NAG’, DRDL, Hyderabad. He has done his B.Sc. from Ewing Christian College, 1985-88 and M.Sc. in Computer Science, University of Allahabad in 1990-91 and M. Tech. Computer Science & Eng. from IIT Madras. He is currently working as Scientist-F, Project Director ‘NAG’ DRDL (DRDO, Ministry of Defence), Hyderabad. He is awarded by Prime Minister Award: Path Breaking Research DRDO Award in Year-2005 and Laboratory Scientist of the Year Award in Year 2008. He has published papers in National & International Conferences/Seminars/Symposia.