Kanchana Ambagahawita (Economics and Information Systems)

Kanchana Ambagahawita is a MPhil/PhD Candidate in Management: Information Systems and Innovation at the London School of Economics (LSE). She has a MSc in Local Economic Development from LSE and has a Bachelor of Business Administration from the University of Colombo. She is also an Attorney-at-Law in Sri Lanka. Her research interest are in the use of Information CommunicationTechnologies in Economic Development mainly in software development and outsourcing industry policy and digitalisation of Banking. She has experience in using qualitative and quantitative research methods and case study research.

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Danushka Bollegala (Natural Language Processing)

Dr. Danushka Bollegala is a Senior Lecturer (Associate Professor) at the Department of Computer Science at the University of Liverpool, UK. He obtained his BS, MS and PhD degrees from the University of Tokyo where he was also a faulty member in the Graduate School of Information Sciences and Engineering. His field of research is Natural Language Processing, in particular using Statistical Machine Learning methods. He has published over 70 academic research papers in major international venues in this field such as ACL, EMNLP, NAACL, COLING, WWW, AAAI, and IJCAI. He is a member of the Association for the Computational Linguistics and an Associate Editor of the Journal of the Japanese Society for Artificial Intelligence (JSAI).

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Lalindra De Silva (Natural Language Processing)

Lalindra De Silva is a PhD student in the School of Computing, University of Utah. Prior to joining the University of Utah, he completed his undergraduate degree in Computer Science from the School of Computing of the University of Colombo, Sri Lanka in 2009. Lalindra’s research focus is on Natural Language Processing (NLP). Specifically, linguistic analysis of microblog posts (e.g., tweets), event extraction/prediction using microblog posts with a special interest in political and civil unrest events.

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Saliya Ekanayake (Machine Learning, Big Data)

Saliya Ekanayake is an Applied Computer Scientist and a Postdoc in the Network Dynamics and Simulation Science (NDSSL) laboratory at Virginia Tech. His research is focused on solving complex interactive network problems using large scale graph analytics and machine learning. Prior to joining Virignia Tech, Saliya received his Ph.D. in Computer Science from Indiana University under the guidance of Prof. Geoffrey Fox. His thesis was on Towards a Systematic Study of Big Data Performance and Benchmarking.
Saliya’s research interests are high performance machine learning, big data and parallel computing, and programming languages.
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Thoshitha Gamage (Computer Security)

Dr.Thoshitha Gamage is an Assistant Professor of Computer Science at Southern Illinois University Edwardsville (SIUE). His primary research interests are in Computer Security and its intersection with Formal Methods, Distributed Systems, and Cross-disciplinary Architectures, in particular, Cyber-Physical Systems (CPS). Dr.Gamage has been working on the advanced power grid (smart grid) related research for over 6 years now at various stages of my academic and professional career. He joined SIUE in Fall 2014 after a two-year stint as an Assistant Research Professor at Washington State University, where he was part of the GridStat Project and TCIPG.

Dr.Gamage’s Ph.D. (in Computer Science) is from Missouri S&T, which he completed in December 2011 under Dr. Bruce McMillin. He also worked as a postdoctoral researcher for the FREEDM center and led its software development team at Missouri S&T between Jan-May of 2012. He received my M.S. in Computer Science from the St. Cloud State University (2008) and B.S. in Computer Engineering from the University of Peradeniya (2006) Sri Lanka.

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Chulaka Gunasekara (Deep Learning, Natural Language Processing)

Dr. Chulaka Gunasekara is a Researcher at IBM T.J Watson Research Center at Yorktown Heights, NY. Currently, he focuses on developing intelligent conversation systems for IBM Watson, using deep learning techniques applied to natural language processing. He received his Ph.D. in Computer Science from Syracuse University, where he concentrated primarily on identifying influential individuals in social networks. Chulaka is an alumnus of the University of Moratuwa, Sri Lanka from where he obtained his B.Sc. in Computer Science and Engineering. His research interests include deep learning, natural language processing, and social network analysis.

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Eranda Harinath (Process Engineering and Control Theory)

Dr. Eranda Harinath is a Postdoctoral Associate in the Department of Chemical Engineering at Massachusetts Institute of Technology, Cambridge. He received his Ph. D. in Electrical and Computer Engineering from University of British Columbia, Vancouver, in 2012. His main research interest is in control theory and its applications, in particular model predictive control and its application in continuous pharmaceutical manufacturing, pulp and paper, energy and power systems. He was a researcher at Centre for Advanced Process Decision-making (CAPD) at Carnegie Mellon University (CMU) prior to joining at MIT. He was also a visiting researcher in Institute for Systems Theory and Automatic Control at University of Stuttgart, Stuttgart, Germany, and in CAPD at CMU during his PhD studies.

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Sachithra Hemachandra (Robotics)

Dr. Sachithra Hemachandra is a Roboticist at Google. He received his PhD in Computer Science from the Massachusetts Institute of Technology in 2015, where he worked on enabling robots to learn human-compatible representations of their environments from natural language. His research interests include semantic mapping, robot navigation and human robot interactions with the aim of creating intelligent systems that can interact closely with and assist humans in everyday environments.

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Susantha Herath (Computer Security)

Dr. Susantha Herath is a Professor of Information Systems at the Department of Information Systems of the Herberger Business School at St.Cloud State University, Minnesota. He received his Ph.D. in Electrical and Computer Engineering at Keio University, Japan in 1991. His main research interest is in information/computer security.

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Sampath Jayarathne (Information Retrieval)

Dr. Sampath Jayarathna is an Assistant Professor of Computer Science at California State Polytechnic University Pomona. He is interested in interdisciplinary research approaches addressing human information interaction and retrieval using neuro-physiological methods to understand information seeking and searching (neuro information retrieval). His recent projects investigate search personalizaiton and employ eye-tracking/brain tracking in assessment of reading and inferring information through relevance feedback. His previous research experiences include User Interest Modeling, Oculomotor (human eye) Systems, Eye Movement Biometrics and NLP. Sampath received his PhD in Computer Science at Texas A&M University, College Station, Texas. He completed his Master’s in Computer Science (2010) at Texas State University-San Marcos. In 2006,  Sampath graduated from University of Peradeniya, Sri Lanka, with a Bachelor of Science in Computer Science (First Class Honors).

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Sadeep Jayasumana (Computer Vision)

Dr. Sadeep Jayasumana is a Postdoctoral Researcher at the Department of Engineering Science, University of Oxford. He obtained his PhD in Engineering and Computer Science from the Australian National University in 2014, under the supervision of Prof. Richard Hartley. Prior to graduate studies, Sadeep received his BSc in Engineering degree from the Electronic and Telecommunication Engineering Department of University of Moratuwa. Sadeep’s current research focus is on computer vision, machine learning for computer vision applications and deep learning.

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Nishad Jayasundara (Biochemical Adaptations)

Nishad Jayasundara is an Assistant Professor at The University of Maine, Orono, USA. His research integrates molecular, biochemical and physiological analyses, bioinformatics and movement modeling approaches to understand how animals adapt to changes in their environment. Nishad received his PhD from Stanford University, CA, USA and completed his postdoctoral research at Duke University, NC, USA.

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Pratheepa Jeganathan (Statistics)

Pratheepa Jeganathan is a Postdoctoral Research Fellow at the Department of Statistics at Stanford University. She received her Ph.D. in Mathematics with an emphasis in Statistics in 2016 and an MS in Statistics in 2013, both from Texas Tech University. Pratheepa received her BS in Statistics and Operations Research from University of Peradeniya.
Pratheepa’s current research focus is on developing statistical computational methods and workflows to analyze microbiota. Her doctoral research focused on developing statistical methods based on saddlepoint approximation to make inferences and using theoretical statistics to evaluate them with the applications to spatial, time series, and survival data analysis. While she was a doctoral student, Pratheepa gained experience in collaborative work in clinical and genomic research from the Research and Testing Center in Lubbock and the Clinical Research Institute at Texas Tech University Health Sciences Center as an intern. Pratheepa’s primary research interests include meeting the demand of statistical computational methods for Biomedical Sciences, Machine Learning, and Deep Learning. She is also deeply committed to teaching, mentoring, curriculum development, and community outreach.
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Kirthevasan Kandasamy (Statistical Machine Learning)

Kirthevasan Kandasamy is PhD Student at the School of Computer Science, Carnegie Mellon University. His research interests are primarily in Statistical Machine Learning, with a focus on bandit problems, active learning and nonparametric Statistics. Kirthevasan completed his B.Sc in Electronic & Telecommunication Engineering at the University of Moratuwa. For more details visit his website.

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Suranga Nanayakkara (Human Computer Interaction)

Suranga Nanayakkara is an Assistant Professor at the Engineering Product Development Pillar (epd.sutd.edu.sg) of Singapore University of Technology and Design (www.sutd.edu.sg). Before joining SUTD, Suranga was a visiting Postdoctoral Associate at the Fluid Interfaces group, MIT Media Lab (fluid.media.mit.edu). He received his PhD in 2010 and BEng in 2005 from National University of Singapore (www.nus.edu.sg). At SUTD, he directs the Augmented Senses Research Group (asg.sutd.edu.sg) to explore technologies for enhancing sensory and cognitive abilities of humans. His work has published in prestigious conferences such as CHI, UIST; printed and electronic media such as Engadget, TechReview. Suranga has been recognized as one of the young inventors of the Asia Pacific region with TR35 award (http://www.emtechsingapore.com/tr35-awards/about-tr35-awards). Suranga is best known for his work with the hearing and visually impaired communities, where the technologies he has developed not only helped people to overcome their impairments but also helped them to do things beyond a typical sighted or hearing person.

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Naufer Nusran (Condensed Matter Physics)

Naufer Nusran is a PhD candidate in Condensed Matter Physics at University of Pittsburgh. He received his M.S. degree in Physics from University of Pittsburgh, in 2008 and B.Sc. degree in Physics (Special) with a First Class from University of Colombo, Sri Lanka, in 2006. Nusran’s current research focus on exploring novel techniques such as the use of quantum phase estimation algorithms (QPEA) with an electronic spin associated with so called Nitrogen-Vacancy (NV) defect centers in diamond for nano-scale magnetometry.

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Charith Perera (Internet of Things)

Dr. Charith Perera received his BSc (Hons) in Computer Science in 2009 from Staffordshire University, UK and MBA in Business Administration in 2012 from University of Wales, UK and PhD in Computer Science at The Australian National University, Australia. Previously, he worked at Information Engineering Laboratory, ICT Centre, CSIRO. His research interests are Internet of Things, Sensing as a Service, Privacy, Middleware Platforms, and Sensing Infrastructure.

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Kasun S Perera (Database Systems)

Kasun S Perera is a PhD student in the Faculty of Computer Science in Technische Universität Dresden, Germany. He also enrolled at Aalborg University, Aalborg, Denmark leading to a joint doctorate degree under European Erasmus Mundus Program. He completed his Master of Science in Computing and Information Science at Masdar Institute of Science and Technology in Abu Dhabi, UAE, in collaboration with Massachusetts Institute of Technology. After finishing his undergraduate degree in Computer Science from University of Colombo School of Computing he worked as a Research Assistant at National University of Singapore. Kasun’s current research focus is on Model-based database systems where statistical and other representative models stored in the database are used to answer user queries. He also work in data mining and machine learning areas particularly interested in Smart Grids and Renewable Energy Integration.

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Samitha Samaranayake (Systems Engineering)

Samitha Samaranayake is an Assistant Professor in the School of Civil and Environmental Engineering and a Graduate Field Faculty in the School of Operations Research and Information Engineering and the Center for Applied Math at Cornell University, USA.

He completed his Ph.D. in Systems Engineering at the University of California, Berkeley in December 2014, where he worked primarily on efficient algorithms for stochastic route planning and dynamic network flow allocation. Since graduating, Samitha has been a Postdoctoral Associate in the Laboratory for Information and Decision Systems at MIT and a member of the Future Urban Mobility group of the Singapore-MIT Alliance for Research and Technology (SMART).  Samitha received his bachelors degree in Computer Science (with a minor in Economics) and an M.Eng. in Electrical Engineering and Computer Science both from MIT, and an M.Sc. in Management Science and Engineering (Operations Research) from Stanford University.

Samitha’s research interests are in the analysis and control of networked cyber-physical systems with a focus on transportation and other urban infrastructure systems. In particular, he’s interested in enabling efficient and sustainable urban transportation systems, by utilizing advances in information technology (e.g. the proliferation of smart phones and real-time communication), mathematical modeling and optimization, and new transportation paradigms such as mobility-on-demand systems. His research develops and utilizes mathematical tools from the areas of dynamic programming, stochastic network optimization, multi-commodity flow optimization and network load balancing.

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Dr. V. A. Samaranayake

V.A. Samaranayake (Statistics)

Dr. V.A. Samaranayake is Curator’s Teaching Professor & Director of Graduate Studies at the Department of Mathematics & Statistics at the Missouri University of Science and Technology. Dr. Samaranayake earned his Ph.D. in statistics from Kansas State University in 1983. He earned a post-graduate diploma in statistics from the University of Sri Jayewardenepura in 1974 and a bachelor of science degree from the University of Colombo in 1972. His research interests span empirical modeling of biological and econometric data, time series, and reliability analysis. In addition to his main research interests, Dr. Samaranayake has collaborated with engineers and scientists at his university on research projects ranging from industrial engineering to materials science.

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Janaka Senarathna (Biomedical Instrumentation)

Janaka is a research fellow in the department of Radiology at the Johns Hopkins University School of Medicine. He received a BSc in Electronics and Telecommunications Engineering from the University of Moratuwa, Sri Lanka and  an MSE and a PhD in Biomedical Engineering from the Johns Hopkins University, Baltimore, USA. He works on building miniature optics and electronic devices to observe and understand biology and is interested in expanding into clinical biomedical applications.


Keerthi Senevirathne (Nano Materials Chemistry)

Dr. Keerthi Senevirathne is an assistant professor of Chemistry at Florida A&M University, Tallahassee, Florida. He graduated from the Wayne State University, Detroit, MI with a Ph. D in Nanomaterials Chemistry. His research interests range from nanomaterials synthesis, characterization, and property evaluation with the emphasis on nanomaterials chemistry in renewable energy applications and heterogeneous catalysis. The research area he is focusing at includes photocatalytic water splitting, development of low cost inorganic heterogeneous catalysts for biodiesel production, and use of perovskite based inorganic nanomaterials as lithium-air battery cathodes. Apart from research, his teaching interests includes general chemistry, advanced inorganic chemistry, nanomaterials and solid state chemistry, and environmental chemistry.

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Oshani Seneviratne (Web Systems)

Dr. Oshani Seneviratne is a senior software engineer at Oracle. She received her PhD (2014) and Masters (2009) in Computer Science from MIT under the guidance of the inventor of the World Wide Web Sir. Tim Berners-Lee. She has been a visiting researcher at University of Southampton and Oxford University in the UK. Her research interests are primarily on web systems augmented with provenance, policy expressions and linked data. She is also interested in building humanitarian solutions and educational tools using linked data concepts.

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Ishara Silva (Chemistry)

Ishara Silva is a PhD candidate in Chemistry at University of Pittsburgh, USA. His research mainly focuses on understanding the role of metal ions in biological systems by investigating the metal ion coordination. So far his research has focused on neurodegenerative diseases (Alzheimer’s) and cell apoptosis. Prior to starting his PhD in 2008, he received his BSc in Chemistry from University of Peradeniya, Sri Lanka, in 2007.

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Kashyapa Sirinanda (Operations Research and Optimisation)

Kashyapa Sirinanda is a mathematician and an engineer. He is currently working as a Postdoctoral Research Fellow in the Department of Mechanical Engineering at The University of Melbourne, Australia where he completed his PhD. He has previously completed a BSc from the University of Peradeniya, Sri Lanka. His current research focuses on Graph theory, network optimisation and optimisation in industry.

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Nandula Wanasekara (Polymer Science and Engineering)

Dr. Nandula D. Wanasekara is a Research Fellow at the University of Exeter, UK. He received his PhD in Polymer Science and Engineering at the Department of Macromolecular Science and Engineering at Case Western Reserve University-USA. In 2010, he completed his M.S in Textile Technology from the University of Massachusetts—Dartmouth, USA. He received his B.Sc (Eng) Hons in Textile Technology from the University of Moratuwa, Sri Lanka in 2007. His research interests include carbon fiber manufacturing, bioinspired polymeric nanocomposites and mechanically-enhanced, hierarchically-arranged peptide-polymer hybrids.

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Kishan Wimalawarne (Statistical Machine Learning)

Kishan Wimalawarne is a project specific researcher (postdoctoal researcher) at the Bio-Knowledge Engineering Research Laboratory of Kyoto University. He obtained his Doctor of Engineering from the Tokyo Institute of Technology. He obtained his Master of Science from the University of Moratuwa and Bachelor of Science from the University of Kelaniya. His main research interest is statistical machine learning with the focus on tensors, high dimensional data and learning theory.

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