Prof. Dr. Jamilur Reza Choudhury
University of Asia Pacific, Bangladesh
Mr. Qayum Reza Chowdhury
Board of Trustees
University of Asia Pacific, Bangladesh
Professor Dr. Saifur Rahman
Talk Title: Energy Efficiency and the Role of IoT in a Smart City Connected Community
Abstract: Energy efficiency and IoT deployments offer a much higher value proposition if these can function in the context of a smart city in a connected community. These can then contribute more to the safety, security and improve the environment in which the citizens live and work. In order to make urban living more safe, secure and environmentally sustainable, the focus needs to be on environmental quality, public safety, city planning, industry facilitation, resource utilization, energy conservation, traffic control, telemedicine, homecare, interpersonal communications, social activities and entertainment.
A smart city relies on widely distributed smart (IoT) devices to monitor the urban environment in real-time, collect information for intelligent decision making, and facilitate various services to improve the quality of urban living. The distributed network of intelligent sensor nodes, as well as data centers/clouds where sensor data are stored and shared, constitutes a smart city infrastructure. Participatory sensing plays an indispensable role in emerging initiatives of a smart city, which retrieves sensor data from groups of people or communities. The proliferation of personal mobile devices and development of online social networks make participatory sensing viable at a large scale but introduce many open problems at the same time. Smart cities address urban challenges such as pollution, energy efficiency, security, parking, traffic, transportation, and others by utilizing advanced information and communication technologies (ICT) in data gathering and communications interconnectivity via the Internet. It provides real time and remote monitoring for different aspects of data management in areas such as transportation, communication, video surveillance, and sensor integration throughout the city.
Biography: Professor Dr. Saifur Rahman is the founding director of the Advanced Research Institute at Virginia Tech, USA where he is the Joseph R. Loring professor of electrical and computer engineering. He also directs the Center for Energy and the Global Environment He is a Life Fellow of the IEEE and an IEEE Millennium Medal winner. He is the president-elect of the IEEE Power and Energy Society (PES) for 2016 and 2017, and will be the president for 2018 and 2019. He was the founding editor-in-chief of the IEEE Electrification Magazine and the IEEE Transactions on Sustainable Energy. In 2006 he served on the IEEE Board of Directors as the vice president for publications. He is a distinguished lecturer for the IEEE Power & Energy Society and has lectured on renewable energy, energy efficiency, smart grid, electric power system operation and planning, etc. in over 30 countries. He served as the chair of the US National Science Foundation Advisory Committee for International Science and Engineering from 2010 to 2013. He has conducted several energy efficiency related projects for Duke Energy, Tokyo Electric Power Company, the US Department of Defense, the State of Virginia and the US Department of Energy.
Dr. Fahmida N. Chowdhury
Talk Title: Careers at the Rapidly Shifting Human-Technology Frontier: Global Engagement, Local Impact
Abstract: The last decade has witnessed some rapid progress in science and technology, and the human-technology frontier has shifted considerably. In this talk, I argue that in the information technology community, and in the engineering community in general, career paths in this changed world should include not only technical fields but also administrative fields, entrepreneurship, science and technology education, and very importantly, policy and diplomacy at local, national and international levels. Adopting such a broad viewpoint would open up many interesting and highly satisfactory career paths, and may bring personal and professional fulfillment in unexpected ways. Technical education and training should provide a highly transferable skill-set that can be valuable in many other fields, including that of national and international science and technology policy.
Biography: Dr. Fahmida N. Chowdhury is a Program Director in the Office of International Science and Engineering (OISE) at the US National Science Foundation (NSF). Prior to joining NSF in 2008, she was a Professor of Electrical and Computer Engineering at the University of Louisiana, Lafayette, USA, where she held the W. Hansen Hall and Mary O. Hall Endowed Chair in Computer Engineering. She also held academic positions at the Michigan Technological University and Bangladesh University of Engineering and Technology (BUET).
Dr. Chowdhury has been active in IEEE for many years; she served on the editorial boards of two IEEE Transactions: on Control Systems Technology and on Neural Networks. She was an elected member of the IEEE Control System Society's Board of Governors, and also IEEE Computational Intelligence Society's AdCOM. As a Fulbright Scholar she taught a postgraduate course in BUET in 2001, and she served at the US Embassy in Dhaka as an Embassy Science Fellow in 2013. Her research interests include complex systems modeling and analysis, non-traditional applications of dynamic systems theory, and detection of abnormal conditions (faults) in dynamic systems. She has deep interest in international science, technology and educational collaborations, science and engineering diplomacy, and serving society through humanitarian technologies and policy-level engagements.
Professor Dr. Alamgir Hossain
Talk Title: AI for Innovation, Transformation and Automation
Abstract: In this talk, Professor Hossain will present the horizon of artificial intelligence (AI) enabled multi-disciplinary research on technology, health, education and business. Professor Hossain will demonstrate how various challenges of different domains can be addressed using AI enabled optimisation, information fusion, decision making, image analysis, prediction, data mining, automation and adaptive algorithms. With examples, his talk will brief the future of mobile enabled self-diagnosis to empowering people to be a co-manager to their health and wellbeing. He will also present his research on medical image processing, cyber security, robotics, expert systems etc. Finally, he will conclude with an indication of the opportunities for potential collaboration with Anglia Ruskin IT Research Institute (ARITI) for research and development activities. See further details: www.anglia.ac.uk/ariti
Biography: Professor Alamgir Hossain is currently serving as the Director of the IT Research Institute at Anglia Ruskin University, Cambridge, UK. Prior to this he also served in the University of Northumbria at Newcastle (as head of Computational Intelligence Group), University of Bradford, University of Sheffield, Sheffield Hallam University and the University of Dhaka (as head of the Department of Computer Science and Engineering). He has extensive research experience in computational intelligence, digital diagnosis, cyber security, mobile enabled expert systems and real-time algorithm design. Professor Hossain has led many large EU funded projects as an International lead investigator, worth over 16 million pound. With a publication in Nature, he has published over 300 refereed research articles, contributed in 12 books, received the "F C Williams 1996" award for an IET journal (UK), Lifetime achievement award (Channel S, London) and 'Best Paper Awards' for five conference papers (CSBio2010, IEEE CIS2012, SKIMA 2012, PACBB 2013 & SKIMA 2014). For further details of his publications, please explore: Google Scholar.
Professor Latifur Khan
Talk Title: Big Stream Data Analytics: Current & Future Trends.
Abstract: Data streams are continuous flows of data. Examples of data streams include network traffic, sensor data, call center records and so on. Data streams demonstrate several unique properties that together conform to the characteristics of big data (i.e., volume, velocity, variety and veracity) and add challenges to data stream mining. In this talk we will present an organized picture on how to handle various data mining techniques in data streams. In addition, we will present a number of stream classification applications such as adaptive website fingerprinting, and textual stream analytics (political actor identification over textual stream).
This research was funded in part by NSF, NASA, Air Force Office of Scientific Research (AFOSR), IBM Research and Raytheon.
Biography: Dr. Latifur Khan is currently a full Professor (tenured) in the Computer Science department at the University of Texas at Dallas, USA where he has been teaching and conducting research since September 2000. He received his Ph.D. degree in Computer Science from the University of Southern California (USC) in August of 2000. He received his BSc Engineering degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 1993 with first class honors (2nd position).
Dr. Khan is an ACM Distinguished Scientist. He has received prestigious awards including the IEEE Technical Achievement Award for Intelligence and Security Informatics and IBM Faculty Award (research) 2016.
Dr. Latifur Khan has published over 250 papers in premier journals such as VLDB, Journal of Web Semantics, IEEE TDKE, IEEE TDSC, IEEE TSMC, and AI Research and in prestigious conferences such as AAAI, IJCAI, CIKM, ICDE, ACM GIS, IEEE ICDM, IEEE BigData, ECML/PKDD, PAKDD, ACM Multimedia, ACM WWW, ICWC, ACM SACMAT, IEEE ICSC, IEEE Cloud and INFOCOM. He has been invited to give keynotes and invited talks at a number of conferences hosted by IEEE and ACM. In addition, he has conducted tutorial sessions in prominent conferences such as SIGKDD 2017, 2016, IJCAI 2017, AAAI 2017, SDM 2017, PAKDD 2011 & 2012, DASFAA 2012, ACM WWW 2005, MIS2005, and DASFAA 2007. As of today, fifteen Ph.D. students have graduated under Dr. Khan’s supervision and all of them are well placed in academia (Clemson University) and corporate world (Amazon, Microsoft, VMWare, CISCO etc.).
Currently, Dr. Khan’s research area focuses on big data management and analytics, data mining and its application over cyber security, complex data management including geo-spatial data and multimedia data. His research has been supported by grants from NSF, the Air Force Office of Scientific Research (AFOSR), DOE, NSA, IBM and HPE. More details can be found at: www.utdallas.edu/~lkhan/
"Dr. Fatema Rashid" best paper awards will be presented to the top three papers.
Dr. Mohammad A. Karim
Fellow - IEEE, IET, OSA, SPIE, IoP
Provost and Chief Operating Officer
University of Massachusetts, Dartmouth, USA
Dr. Mohammad S. Alam
Fellow - IEEE, IET, OSA, SPIE, IoP, IS&T, and IAPR
Dean, Frank H. Dotterweich College of Engineering
Texas A&M University - Kingsville, USA