[vc_row margin_top=”0″ margin_bottom=”0″ full_width=”” padding_left=”0″ padding_right=”0″ animation=”” type=”” bg_color=”” bg_position=”top” bg_repeat=”no-repeat” bg_cover=”false” bg_attachment=”false” padding_top=”0″ padding_bottom=”0″ enable_parallax=”” parallax_speed=”0.1″ bg_video_src_mp4=”” bg_video_src_ogv=”” bg_video_src_webm=”” bg_type=”” parallax_style=”” bg_image_new=”” layer_image=”” bg_image_repeat=”” bg_image_size=”” bg_cstm_size=”” bg_img_attach=”” parallax_sense=”” bg_image_posiiton=”” animation_direction=”” animation_repeat=”” video_url=”” video_url_2=”” u_video_url=”” video_opts=”” video_poster=”” u_start_time=”” u_stop_time=”” viewport_vdo=”” enable_controls=”” bg_override=”” disable_on_mobile_img_parallax=”” parallax_content=”” parallax_content_sense=”” fadeout_row=”” fadeout_start_effect=”” enable_overlay=”” overlay_color=”” overlay_pattern=”” overlay_pattern_opacity=”” overlay_pattern_size=”” overlay_pattern_attachment=”” multi_color_overlay=”” multi_color_overlay_opacity=”” seperator_enable=”” seperator_type=”” seperator_position=”” seperator_shape_size=”” seperator_svg_height=”” seperator_shape_background=”” seperator_shape_border=”” seperator_shape_border_color=”” seperator_shape_border_width=”” icon_type=”” icon=”” icon_size=”” icon_color=”” icon_style=”” icon_color_bg=”” icon_border_style=”” icon_color_border=”” icon_border_size=”” icon_border_radius=”” icon_border_spacing=”” icon_img=”” img_width=”” ult_hide_row=”” ult_hide_row_large_screen=”” ult_hide_row_desktop=”” ult_hide_row_tablet=”” ult_hide_row_tablet_small=”” ult_hide_row_mobile=”” ult_hide_row_mobile_large=””][vc_column width=”1/4″ animation=””][/vc_column][vc_column width=”1/2″ animation=””][vc_single_image image=”438″ alignment=”center” style=”vc_box_border_circle” border_color=”grey” img_link_large=”yes” img_link_target=”_self” css_animation=”fadeInDown” image_hovers=”true” img_size=”full”][/vc_column][vc_column width=”1/4″ animation=””][/vc_column][/vc_row][vc_row margin_top=”0″ margin_bottom=”0″ full_width=”” padding_left=”0″ padding_right=”0″ animation=”” type=”” bg_color=”” bg_position=”top” bg_repeat=”no-repeat” bg_cover=”false” bg_attachment=”false” padding_top=”0″ padding_bottom=”0″ enable_parallax=”” parallax_speed=”0.1″ bg_video_src_mp4=”” bg_video_src_ogv=”” bg_video_src_webm=”” bg_type=”” parallax_style=”” bg_image_new=”” layer_image=”” bg_image_repeat=”” bg_image_size=”” bg_cstm_size=”” bg_img_attach=”” parallax_sense=”” bg_image_posiiton=”” animation_direction=”” animation_repeat=”” video_url=”” video_url_2=”” u_video_url=”” video_opts=”” video_poster=”” u_start_time=”” u_stop_time=”” viewport_vdo=”” enable_controls=”” bg_override=”” disable_on_mobile_img_parallax=”” parallax_content=”” parallax_content_sense=”” fadeout_row=”” fadeout_start_effect=”” enable_overlay=”” overlay_color=”” overlay_pattern=”” overlay_pattern_opacity=”” overlay_pattern_size=”” overlay_pattern_attachment=”” multi_color_overlay=”” multi_color_overlay_opacity=”” seperator_enable=”” seperator_type=”” seperator_position=”” seperator_shape_size=”” seperator_svg_height=”” seperator_shape_background=”” seperator_shape_border=”” seperator_shape_border_color=”” seperator_shape_border_width=”” icon_type=”” icon=”” icon_size=”” icon_color=”” icon_style=”” icon_color_bg=”” icon_border_style=”” icon_color_border=”” icon_border_size=”” icon_border_radius=”” icon_border_spacing=”” icon_img=”” img_width=”” ult_hide_row=”” ult_hide_row_large_screen=”” ult_hide_row_desktop=”” ult_hide_row_tablet=”” ult_hide_row_tablet_small=”” ult_hide_row_mobile=”” ult_hide_row_mobile_large=””][vc_column width=”1/1″ animation=””]

Prof. Rajkumar Buyya
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Director, Cloud Computing and Distributed Systems (CLOUDS) Lab,
The University of Melbourne, Australia
CEO, Manjrasoft Pvt Ltd,
Melbourne, Australia

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New Innovations in Cloud Computing for Big Data Applications
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Abstract
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Computing is being transformed to a model consisting of services that are commoditised and delivered in a manner similar to utilities such aswater, electricity, gas, and telephony. In such a model, users access services based on their requirements without regard to where the services are hosted. Several computing paradigms have promised to deliver this utility computing vision. Cloud computing has emerged as one of the buzzwords in the IT industry and turned the vision of “computing utilities” into a reality. Several IT vendors have started offering computation, storage, and application hosting services, and provide coverage in several continents, supporting Service-Level Agreements (SLA) backed performance and uptime promises for their services. Clouds deliver infrastructure, platform, and software (application) as services, which are made available as subscription-based services in a pay-as-you-go model to consumers. The price that Cloud Service Providers charge can vary with time and the quality of service (QoS) expectations of consumers. Therefore, Enterprise and Big Data applications need tools and platforms for their rapid construction and deployment on Clouds on-demand meeting user QoS requirements at lower price.

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Brief Biography of the Speaker:
[vc_column_text css_animation=””]Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over 500 publications and four text books including “Mastering Cloud Computing” published by McGraw Hill, China Machine Press, and Elsevier/Morgan Kaufmann for Indian, Chinese and international markets respectively. He is one of the highly cited authors in computer science and software engineering worldwide (h-index=94, g-index=198, 42500+ citations). Microsoft Academic Search Index ranked Dr. Buyya as the world’s top author in distributed and parallel computing between 2007 and 2012. “A Scientometric Analysis of Cloud Computing Literature” by German scientists ranked Dr. Buyya as the World’s Top-Cited (#1) Author and the World’s Most-Productive (#1) Author in Cloud Computing.

Software technologies for Grid and Cloud computing developed under Dr.Buyya’s leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences.

These contributions and international research leadership of Dr. Buyya are recognized through the award of “2009 IEEE TCSC Medal for Excellence in Scalable Computing” from the IEEE Computer Society TCSC. Manjrasoft’s Aneka Cloud technology developed under his leadership has received “2010 Frost & Sullivan New Product Innovation Award” and recently Manjrasoft has been recognised as one of the Top 20 Cloud Computing companies by the Silicon Review Magazine. He served as the foundation Editor-in-Chief of IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established 40+ years ago. For further information on

Dr.Buyya, please visit his cyberhome: www.buyya.com[/vc_column_text][/vc_accordion_tab][/vc_accordion][/vc_column][vc_column width=”1/1″ animation=””][vc_empty_space height=”62px”]

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Dr. Bappaditya Mandal
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Scientist at Institute for Infocomm Research,
A*STAR, Singapore,1 Fusionopolis Way, #21-01 Connexis (South Tower),
Singapore 138632

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Emerging vision based techniques on wearable devices.
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Abstract
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In recent times, there has been an unprecedented growth of wearable devices in the consumer market. Primarily because the wearable devices provide “hands free” interaction, easy to carry (mobile), and increasingly miniaturization of computational hardware devices has lead to deployment of numerous emerging software technologies. In this talk, I will focus on deployable and emerging vision based technologies on wearable devices.  In particular, I will talk about the development of computational methodologies in wearable devices that would help people to improve their lives. For example, camera in the wearable devices (such as Google Glass, GoPro) generates first-person-view (FPV) or egocentric videos that show near human vision field of view. They provide immerse opportunities for various applications, such as face recognition for social interaction assistance. Life-logged egocentric data are useful for summarization and retrieval (memory assistance), security, health monitoring, lifestyle analysis to memory rehabilitation (i.e., subject matters being remembered, such as time, place, object, people, context, and mental states) for dementia patients. However, since wearable devices have limited hardware capabilities, it is challenging to run complex calculations such as image processing, machine learning efficiently on these devices. Developers have been constantly challenged by the difficulty of providing optimal user experience with limited computational resources. From research point of view, it is imperative to understand these limitations and suggest possible ways to overcome the hurdles. I will present some of these real-world applications and their deployment on Google Glass. Finally, some research outline of computer vision and machine learning for wearable computing will be discussed.

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Brief Biography of the Speaker:
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Dr. Bappaditya Mandal has received the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology (IIT), Roorkee, India and the Ph.D. degree in Electrical and Electronic Engineering from Nanyang Technological University (NTU), Singapore, in 2003 and 2008, respectively. He is currently a Scientist at the Cognitive Vision Lab, Visual Computing Department in Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore. His research interests include computer vision, image and signal analysis, machine learning and pattern recognition, feature extraction and evaluation and Biometrics. Dr. Mandal was a recipient of the Best Biometric Student Paper Award at the 19th International Conference on Pattern Recognition, 2008 and a recipient of full Research Scholarship Award from NTU, between 2004 and 2008. In 2001, he has received the Summer Undergraduate Research Award from IIT Roorkee.

Dr. Bappaditya Mandal ‘s personal website:
https://sites.google.com/site/bappadityamandal/home

His team members are doing large amount of work for visually impaired people and dementia patients using wearable devices.

You will find the summary in the following web links:

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Dr. Bhanu Prakash KN
[vc_accordion collapsible=”yes” disable_keyboard=”” style=”2″][vc_accordion_tab title=”Title : Preventive and predictive healthcare research and clinical tools”][vc_column_text]

Research Scientist,
Laboratory of Molecular Imaging,
Singapore Bio-Imaging Consortium, ASTAR,
Singapore.

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Preventive and predictive healthcare research and clinical tools
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Abstract
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The R & D in the area of personalized medicine have been carried out for over many years but the current healthcare outcomes are considered as being inadequate for many acute and chronic disorders. In fact, severe chronic pathologies such as cardiovascular disorders, diabetes, and cancer are treated after onset of the disease, frequently at near end-stages. Advanced healthcare promotes the paradigm change from delayed interventional to predictive medicine tailored to the person, from reactive to preventive medicine and from disease to wellness. The innovative Predictive, Preventive and Personalized Medicine (PPPM) is emerging as the focal point of efforts in healthcare aimed at curbing the prevalence of both communicable and non-communicable diseases such as diabetes, cardiovascular diseases, chronic respiratory diseases, cancer and dental pathologies. Many clinicians say they have practiced personalized medicine their whole career, but “didn’t have the tools we have now,”
During my talk, I will introduce the concepts of preventive, predictive, and personalized medicine, its requirements and discuss our lab research towards preventive & predictive healthcare for obesity. I will conclude my talk with demonstration of the clinical tools developed for stroke analysis, treatment, surgery planning, and prediction.

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Brief Biography of the Speaker:
[vc_column_text css_animation=””]Education

1996-2002            PhD                                                                Indian Institute of Science/Bangalore/India

1989-1991            ME (System Science & Automation)        Indian Institute of Science/Bangalore/India

1981-1986            BE (Instrumentation Technology)             Mysore University/Karnataka/India

 

Employment

Apr 2012 – Pres    Research Scientist, Laboratory of Molecular Imaging, Singapore Bio-Imaging Consortium, ASTAR, Singapore,

2003 – Mar 2012    Research Scientist, Biomedical Imaging Lab, Singapore Bio-Imaging Consortium, ASTAR, Singapore,

Aug 02 – July 03   Post-Doc Research fellow, Biomedical Imaging Lab of Institute for Infocomm Research, A-STAR, Singapore.

Dec 86 – Dec 03    Selection Grade Lecturer, Sri Jayachamarajendra College of Engineering, Mysore, Karnataka, India,

Aug 86 – Dec 86    Graduate Engineer Trainee, Neyveli Lignites Ltd was in-charge of commission, testing and calibration of process controllers.

Dec 86 – Dec 03    Engineer Trainee, Bells Controls Ltd, Mysore, component quality control, on-line assembly, testing quality control of process instrumentation.

 

Awards and Distinctions

  • National Merit Scholarship during 1979- 1981.
  • II rank in BE.
  • III prize at NCBME-2000 in student paper competition.
  • DAAD Fellowship under exchange program to University of Kaiserslautern, Germany during 1997.
  • Certificate of Merit at Radiological Society of North America 2005, 2006 and 2008.

Other Activities

  • Reviewer for International Journal of Computer Assisted Radiology and Surgery.
  • Reviewer for British Journal of Radiology.
  • Reviewer for International Journal of Computer Assisted Radiology and Surgery
  • Reviewer and member of Technical program committee for “International Conference on “Emerging Research in Electronics, Computer Science, and Technology (ICERECT-2015)” conference to be held during Dec17 – 19, 2015 in India.
  • Reviewer and member of Technical program committee for “IEEE Recent Advances in Intelligent Computational Systems” conference held during Sept 22 – 24, 2011 in India.
  • Reviewer for IEEE conference on Signal Processing and Communications (Dec 11-14, 2004) held at Indian Institute of Science, Bangalore, India.

Human capital development  

  • Has guided more than 120 Bachelor of Engineering students and about 20 Master’s students of Mysore and Visveswaraiah Technological University.
  • Co-supervisor for Master’s student of National University of Singapore (NUS).
  • Co-supervisor for Bachelor degree student (NUS).
  • Guided about 20 intern students of NUS/NTU, Singapore and students from Multimedia University, Malaysia.
  • Participated in the staff selection and training for the lab.

I was involved in various projects of the lab.

  • Fat Quantification
  • Whole Brain Metabolite and Temperature analysis
  • Fast Talairach Transformation (FTT)
  • Identification and extension of Talairach landmarks for atlas warping
  • Stroke
  • Segmentation of stroke regions in mouse brain images
  • Brown fat segmentation and quantification

Awards

  1. Asian Innovation Awards 2010 Finalist, The Wall Street Journal Asia, 30 June 2010, p. 28, for Singapore Stroke Suite by Nowinski WL, Bhanuprakash KN, Volkau I, Qian GY, Gupta V.
  2. Certificate of merit at RSNA – 2006, 2007 and 2008.

 

Keynote address – 6

Media releases  – 4

  1. SBIC’s iStrokeSuite curbs treatment delays for stroke sufferers : Stroke is Singapore’s fourth leading cause of death and is among the top 10 causes of hospitalization. Developed by A*STAR’s Biomedical Imaging Lab in the Singapore Bioimaging Consortium (SBIC), iStrokeSuite can potentially reduce delays in the treatment of time-sensitive conditions like stroke, where treatment must be delivered within three hours from the onset of symptoms.
    • New mobile app to help stroke patients, doctors (Channel 8, 13 March 2013, 1 pm & 6:30 pm, TV Broadcast)
    • New mobile app to help stroke patients, doctors (Channel U, 13 March 2013, 11:30pm, TV Broadcast)
    • New mobile app to help stroke patients, doctors (Channel NewsAsia, 13 March 2013, 6pm & 10pm, TV Broadcast)
    • New mobile app to help stroke patients, doctors (Suria Berita, 13 March 2013, 11:30pm, TV Broadcast)
    • New mobile app to help stroke patients, doctors (xinmsn, 13 March 2013)
  2. Companies Compete for 2010 Prizes for Technological Advances.The Wall Street Journal Asia, Asian Innovation Awards 2010, 29 June 2010
  3. A*STAR’s Biomedical Imaging Laboratory – A Finalist in The Wall Street Journal’s Asian Innovation Awards 2010, 7 July 2010
  4. Singapore research team is speeding up stroke care. Asian innovation Awards 2010, The Wall Street Journal Asia, Vol. XXXIV No. 241; Wednesday, 11 August 2010.

 

Patent applications filed and granted

     Patents granted- 15

     Patent applications filed and pending – 4

Licensing of patents to industries

  1. Mobile based application for Clinical emergency (MBACE) licensed to Wellness Pte. Ltd.
  2. Brain CAD licensed to iRadsolutions Pte. Ltd
  3. Stroke CAD under negotiation.

Journal Papers – 40

Conference papers and abstracts at top clinical and medical education meetings – 80[/vc_column_text][/vc_accordion_tab][/vc_accordion][/vc_column][/vc_row]