School of Engineering, University of Bridgeport, USA
Computer aided Design (CAD), 3-D modeling, computer aided manufacturing (CAM), and computer aided engineering analysis (CAE) can be efficiently applied in many research and industrial fields including aerospace, defense, automobile, consumer product, and many other product development. These efficient research and engineering tools apply computer-assisted technology to perform 3-D modeling on different products, support geometrical design, make structural analysis, assist optimal product design, create graphic and engineering drawings, and generate production documents. 3D modeling technology can perform mathematic and geometric analysis on object surfaces and allow efficient modeling processes including curve-controlled modeling that can simulate the motion of 3D objects. It can change and animate parts with quick and more accurate object rendering. CAD is used to accelerate design process, improve design quality, ease technical communication via engineering documentation, and build database for efficient production. It can also be used to perform graphic simulations for preparing different enterprise documents and bring cost-effective processes to control complex manufacturing systems and industrial production.
Modern CAD systems have been developed using interaction of graphical user interface with object geometry and boundary envelop to control relationships among different object geometries in complex sketches, part models, and product assemblies. CAE has been applied to assist 3-D product feature creation, specify material information in mechanical and thermal properties, define geometrical shape, perform manufacturing tolerance control, improve system functionality, and analyze product structure. CAE can be used with CAD to determine the structural strength of products including tensile, yield, principal, and shear strength. The technological development helps scientists and technical professionals efficiently import basic geometrical inputs and design information to accelerate the engineering design process, with well controlled design documents, to support production and manufacturing processes. Currently these research and engineering tools have been playing more and more important roles in different business and enterprises due to its financial and technical importance in business, industrial, engineering, and manufacturing applications.
Automation and automated production systems are to use control system to reduce human labor intervention during manufacturing processes and put strong impact on industries. Automation and automated system design not only raise the production rate but also control the product quality. It can effectively keep consistent product quality, reduce production lead time, ease material handling, maintain optimal work flow, and meet product requirement by controlling the flexible and convertible manufacturing and production processes. Computer aided modeling and engineering design can quickly simulate and model the automated production systems and reduce product development life cycles. Also present and future economic globalization requires cost-effective manufacturing via highly industrial automation, efficient tooling design, and better production control.
This keynote lecture introduces multiple case studies of some new product systems to help audience understanding how to efficiently design and develop new product systems using computer aided design, engineering analysis, and prototype experiment. The case studies include design and development of green and sustainable energy systems, biomedical and surgical instruments, energy-saving cooling system, automated and high speed assembly system, robotic system for industrial and automated manufacturing, magnetic sealing system, and high speed packaging machinery system.
Dr. Jeremy (Zheng) Li is currently working as an Associate Professor, School of Engineering, University of Bridgeport, USA. He has Teaching Experience of 16 years in UB: 1999-2007: Adjunct faculty in University while working full time research/engineering job in US different industries, 2007-present: Associate Professor in ME Department.He is teaching 9 different classes in UB, and is Advisor for one Ph.D. student, Co-adviser for one Ph.D. student, Ph.D. dissertation committee member for two Ph.D. students, Advisor of MS degree thesis/project for 359 students who pursue the MS degree in Mechanical Engineering (since 1999). He has 14 years full time US research and industrial job experiences in mechatronics, automation, biomedical research and instrument design, sustainable energy system (solar energy and wind power), US defense contract and military project, and etc.
He has published 2 books (Sole author) 6 Book Chapters (Sole author for Chapter) and one pending book chapter (currently in proof reading stage). He has published 33 Journal papers and 44 Conference papers. He has been awarded 3 Research grants and 3 patents. He is Editor for 1 Journal, Guest Editor for 1 Journal and Editorial Board Member for 10 Journals. He has served for advisory boards and organizing committees in 12 different International or US national academic & technical conferences and served as keynote speaker in 5 different international academic and technical conferences.
He was Keynote Speaker for Renovated Biomedical Technology Topic Session in 2008 International Conference of Bioinformatics and Biomedical Engineering, Current/Future Education Trend Topic Session in 2009 International Conference on Remote Engineering and Virtual Instrumentation, Renovated Analytic Technology Topic Session in 2011 International Conference on Mechanical Engineering and Technology, Future Technology Topic Session in 2012 BIT's Annual World Congress of Cultural & Creative IT Industries and Advanced Nanotechnology Topic Session in 2012 Annual World Congress of Nanoscience & Technology.
Professor (EC) & Associate Director
Faculty of Engineering and Technology
Shri Shankaracharya Technical Campus
Medical Image Processing is actually an application of Digital Image Processing where the image is one of the medical images. Thisabstract of Keynotetalk gives an overview of image processing for the application areas of medical science. It covers basic concepts of digital image processing, human visual perception, CAD system to be used in automated diagnosis system, medical imaging modalities, various application areas of medical field, detection and classification of various diseases etc. The talk on Medical Image Processing will focus on overview and research scope; an introduction to the physical, mathematical and engineering foundations of modern medical image processing and imaging physics principles that enable us to "see" inside the human body to diagnose disease, monitor treatment; an overview of recent developments in the field of medical imaging along with few challenges; the challenges faced by radiologists and physicians in scanning, interpretation and diagnosis processes; and the Research orientation that could support the concepts of image processing to be applied as segmentation, classification and detection of affected areas of medical images.A practical approach and experimental results in some cases of filtering and enhancement with a review of a specific algorithm or technology for medical image formation, processing or analysis, along withthe concept of CAD system, its evaluation criteria and advantages and the biomedical image processing concept includingthe enhancement in spatial and frequency domain transformation will be discussed.
Dr. G.R. Sinha is Professor of Electronics & Telecommunication and Associate Director in Faculty of Engineering and Technology of Shri Shankaracharya Group of Institutions, Shri Shankaracharya Technical Campus Bhilai of Chhattisgarh Swami Vivekanand Technical University India. He obtained his B.E. (Electronics) and M.Tech. (Computer Technology) from National Institute of Technology, Raipur. He received Gold Medal for obtaining first position in the University. He received his Ph.D. in Electronics & Telecommunication from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He is Dean of Faculty and has been Executive Council Member of Chhattisgarh Swami Vivekanand Technical University, Bhilai.
He has published 143 research papers in various international and national journals and conferences. He is active reviewer and editorial member of more than 12 international journals such IEEE Transactions on Image Processing, as Applied Physics Research of Canada, IBSU SCIENTIFIC JOURNAL of Georgia, Scientific Journals International (SJI) of USA, Computer Science Journals of Malaysia etc. He has reviewed research papers of many International Conferences including IEEE conferences.
He is recipient of many awards like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS, Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher for Creative work done in Technical Education by ISTE New Delhi, Emerging Chhattisgarh Award 2013: Best Academician, Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, nominated for ISCA Young Scientist Award 2006 and awarded Deshbandhu Merit Scholarship for 05 years. He has been selected as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He has been elevated to Senior Member of IEEE. He has delivered many keynote speeches and chaired many technical sessions in international conferences in SINGAPORE, Mumbai and Nagpur & across the country. He is member of signal processing society of IEEE, IACSIT & SIE Singapore and also of many national professional bodies like IETE, ISTE, CSI, ISCA, and IEI. He is member of various committees of the University and has been Vice President of Computer Society of India for Bhilai Chapter for two consecutive years.
He has authored Six Books including Biometrics: Concepts and Applications published by Wiley India, a subsidiary of John Wiley, ISBN: 978-81- 265-3865-2 and Medical Image Processing: Concepts and Applications, ISBN: 978-81-203- 4902-5, Prentice Hall of India. His research interest includes Biometrics, Early Detection of Breast Cancer & Medical Image Processing, Soft Computing Techniques; Problem based Learning, Employability Skills, Outcome based Education (OBE) etc.
The conventional analytical and empirical approaches of optimization may fail for some problems related to complex systems, in which case we need to look for alternate approaches. One of the most successful attemptsin recent times is to get inspiration from nature to handle such complex situations and systems. Traditionally, gradient based optimization techniques are used for finding an optimal solution to a given problem. However, due to the inability of these techniques in terms of handling discrete, combinatorial, multi-variable complex systems with many constraints, the nature inspired evolutionary computation techniques (population based search algorithms) have been developed.
Differential Evolution (DE), a nature inspired population based evolutionary optimization technique, is an improved version of Genetic Algorithms (GA) and an exceptionally simple evolution strategy that is significantly faster and robust at numerical optimization and is more likely to find a function's true global optimum. Unlike simple GA that uses a binary coding for representing problem parameters, DE uses real coding of floating point numbers. The mutation operator in DE is addition instead of bit-wise flipping used in GA. And DE uses non-uniform crossover and tournament selection operators to create new solution strings. Among the DE's advantages are its simple structure, ease of use, speed and robustness. It can be used for optimizing functions with real variables,having many local optima, large scale, discrete, and combinatorial optimization problems.
This keynote address focuses on nature-inspired evolutionary computation techniques which can handle the limitations of traditional optimization techniques in addressing complex engineering problems in terms of number of constraints, objectives, etc. The working principles of two such emerging techniques, such as Genetic Algorithms and Differential Evolution are demonstrated with examples.Applications of GA and DE tomany single- and mulit-objective optimization problems are discussed. The modified and improved variants of Differential Evolution are also presented.
An acknowledged researcher and renowned academician, Dr B.V. Babu has 29 years of teaching, research, consultancy, and administrative experience. He did his PhD from IIT Bombay. Earlier, he was the Pro Vice Chancellor of DIT University, Dehradun (2013-14) and founding Director of Institute of Engineering and Technology (IET) at JK Lakshmipat University, Jaipur (2011-2013) before taking up the position of Vice Chancellor at Galgotia University, Greater Noida (May 2014). Prior to that, Dr Babu served at BITS Pilani for 15 years (1996-2011), and held various administrative positions as Dean - Student Welfare Division, Dean - Faculty Division 1, Dean - Educational Hardware Division and Head -Chemical Engineering Department, to name a few. Before that he worked at Gujarat University for 11 years (1985-1996). He is a member of various national and international academic and administrative committees. He was the Chairman-Diploma Board, Member of National Council and also an Executive Member of Indian Society for Training and Development (ISTD), New Delhi. He is external expert member of Board of Studies at Banasthali University and MNIT Jaipur. He is the Peer Team Member of National Assessment and Accreditation Council (NAAC), a statutory body of UGC, New Delhi and served as Chairman, Member Coordinator and Member of various visiting Peer Teams for many Universities and Institutions. He is also member of Peer Review Committee for The Natural Sciences and Engineering Research Council of Canada (NSERC), Canada; National Research Foundation (NRF), International Research Grants, South Africa; Council of Scientific & Industrial Research, New Delhi; and member of Research Project Review Committee, Ministry of Steel, Government of India, New Delhi. He is the recipient of CSIR's "National Technology Day Award", obtained in recognition of the research work done. He received "Kuloor Memorial Award-2006" awarded for the Best Technical Paper published in the Institute's Journal "Indian Chemical Engineer" in its issues for 2005. He is also the recipient of "Best Paper Awards" in CHEMCON-2000 and CHEMCON-2001 for the papers he presented at the International Symposia & Annual Sessions of Indian Institute of Chemical Engineers (IIChE). He is the Life Member/Fellow of many professional bodies such as IIChE, IE (I), ISTE, ICCE, IEA, SOM, ISSMO, IIIS, IAENG, SPE, ISTD, etc. He is on Editorial Board/Editor-in-Chief of several international and national Journals.
Professor Babu is a distinguished academician and an acknowledged researcher with an h-index of 33 & i10-index of 76 and over 4090 citations (as in November 2014). He is well known, internationally, for his algorithm, MODE (Multi Objective Differential Evolution) and its improved variants. Besides several highly-cited publications in International journals, he also has two well-accepted textbooks (one published by Springer, Germany). He has wide ranging research interests in the areas of Evolutionary Computation (population-based nature-inspired search algorithms for the optimization of complex engineering problems for both single- and multi-objective formulations), Energy Engineering (biomass gasification, pyrolysis and process intensification) and Environmental Engineering (low cost adsorbents for removing heavy metals and bio-filtration for removing volatile organic compounds). He supervised 8 PhD candidates and PhD Examiner for 20 students of IITs, NITs and Universities, and currently guiding 2 PhD candidates. Dr B V Babu's Brief Profile As on November 07, 2014.
Overall he has over 230 research publications to his credit. He completed three consultancy projects successfully. He has published six books and has written several chapters, invited editorials and articles in various books, lecture notes and international journals. He organized several International and National Conferences, Workshops & Seminars and also chaired several Technical Sessions. He has been Invited Speaker and delivered Keynote Addresses at various International Conferences, Seminars and Workshops.
Dr Babu's hobbies include singing, music compositions, playing keyboard, reading spiritual books, walking, and practicing Yoga and Pranayama.
Professor & Head
Department of Mathematics and Statistics
Caledonian (University) College of Engineering
Sultanate of Oman
Probabilistic/Reliability modeling and analysis is one of the important areas to deal with the real maintenance challenges of complex systems in the manufacturing industries. The effectiveness of any system depends not only on its reliability but also on maintainability which keeps the system performance close to the optimum expectations. Systems in practice are subject to deterioration with usage and age. In order to keep those deteriorated systems useful in terms of its extensive quality lifetime and reducing the cost of operations and preventing the occurrence of system failures; a regular inspections, repairs and replacements are inevitable. Reliability models provide the scientific basis for quantitative analysis of systems in terms of important reliability indices which in turn are helpful in assessing the overall system performances.
A general modeling methodology and its application to a particular industrial system is explored. Case specific probabilistic models are developed for analysis and thus important reliability indices are obtainedto find the measures of system effectiveness. Such models are then compared among themselves as to which and when one model is better than the other.
Dr. Rizwan is currently working as Professor and Head of the Department of Mathematics and Statistics, Caledonian (University) College of Engineering (a University College of Glasgow Caledonian University, Scotland, UK), Sultanate of Oman.
He has about 23 years of experience in teaching at the undergraduate/Postgraduate level and has taught variety of courses in Applied Mathematics and Statistics to Engineering students; out of which he has beenworking for more than 11 years in UK system of education in Sultanate of Oman.
His area of research is Applied Probability, Stochastic Processes, Reliability modeling and Analysis of Systems, in which he has authored/coauthored about 76 research papers which have been published in the Journals/Conferences of International repute. He is a Senior Member of IEEE Reliability Society. Executive council and life member of Indian Society of Information Theory and Applications.
He has the credit of supervising many PhDs & Masters in his area.
Prof. Rizwan was/ is associated with many International Journals in the capacity of Chief Editor/Associate Editor/Reviewer.
He has also been involved in many externally funded research industrial Projects in the area of Reliability Modeling and Analysis of Systems in the capacity of Principal Investigator & co- investigator.
He has delivered many invited Talks at the International level in the area of Reliability and pedagogical skills related to which he has visited many Universities in US, UK, France, Singapore, Hong Kong etc.