Michael Valivullah is currently serving as the Chief Technology Officer (CTO) at US Department of Agriculture’s (USDA) National Agricultural Statistics Service (NASS). He served as Director of Information Technology (IT) and Chief Information Officer (CIO) at NASS and the Directorate of Science and Technology in the US Department of Homeland Security (DHS). He is a member of the Senior Executive Service (SES) in the US Federal Government. He has worked for 14 years in the public sector and over 15 years in the private sector and non-profits.

Big data, data mining

Dr. Xiaoqing “Frank” Liu joined the University of Arkansas in July 2015 and is currently a professor and department head and holds the Rodger S. Kline endowed leadership chair in the Department of Computer Science and Computer Engineering. He served as a professor and an associate chair for graduate studies and external affairs in the Computer Science Department at the Missouri University of Science and Technology, formerly University of Missouri-Rolla, prior to coming to the University of Arkansas.He published numerous refereed journal and conference papers and book chapters and served as principal or co-principal investigators on more than twenty-five sponsored research projects and an industrial partnership. He made notable contributions in the areas of software modeling, on-line argumentation based collaborative decision support, web service discovery and recommendation, and software quality and process management.He was a program committee chair for the 2008 IEEE International Conference on Computer Software and Application (COMPSAC) and served as a technical program committee chair for the Annual International Conference on Collaboration Technologies and Systems (CTS) five times from 2011 to 2015. He always welcomes research and education sponsorship, partnership, and collaboration opportunities and constantly recruits excellent PhD students with assistantship support to join his research group.

Software engineering,Service computing,Collective intelligence,Web-based argumentation,Intelligent systems,Software applications

Petra Perne is the Director of the Institute of Computer Vision and Applied Computer Sciences IBaI. She received her Diploma degree in Electrical Engineering and PhD degree in Computer Science for the work on “Data reduction methods for industrial robots with direct teach-in-programing”. Her habilitation thesis entitled “A methodology for the development of knowledge-based image-interpretation systems". She has been the Principal Investigator of various national and international research projects. She received several research awards for her research work and has been awarded with three business awards for her work on bringing intelligent image interpretation methods and data mining methods into business.

Image analysis and interpretation, machine learning, data mining, big data, machine learning, image mining and case-based reasoning

Professor Yi-Ping Phoebe Chen is Professor and Chair at the Department of Computer Science and Information Technology, La Trobe University, Melbourne Australia. She was Head of Department of Department of Computer Science and Computer Engineering, La Trobe University from Sep 2010 to April 2012. Prof Chen is the Chief Investigator of ARC Centre of Excellence in Bioinformatics. Phoebe received her BInfTech degree with First Class Honours and PhD in Computer Science(Bioinformatics) from the University of Queensland. Before she joined La Trobe, Phoebe was Associate Professor (Reader) in Deakin University from Dec 2003 to April 2010. She worked as a Associate Lecturer/Lecturer/Senior Lecturer in Queensland University of Technology from Jul 1999 to Nov 2003. Professor Chen has been doing multi-discipline researches for more than 18 years. She has published over 220 research papers, many of them appeared in top journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Biomedical Engineering, Pattern Recognition, IEEE Transactions on Information Technology in Biomedicine, Molecular Systems Biology, Aging Cell, Nucleic Acids Research, Journal of Medical Genetics,RNA, BMC Genomics, BMC Bioinformatics, Current Drug Metabolism, Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Information Systems, SIGMOD, etc .

Visual and Data Analysis in Disease Diagnosis, Medical Image Analysis with Pattern Recognition, Drug Design by Visualization and Machine Learning Approach, Mining Protein and Genome Regulatory Networks using Graphic Models, Knowledge Discovery for RNA Structure and Function, Deep Learning Approach and its Applications, Speech Therapy and Data Mining

Dr. Kaizhu Huang is currently Head of Department of Electrical and Electroniccal Engineering in Xi’an Jiaotong-Liverpool University and an Affiliated Full Professor at University of Electronic Science and Technology of China. Dr. Huang is the recipient of 2011 Asian Pacific Neural Network Assembly (APNNA) Younger Researcher Award. He also received Best Book Award in National “Three 100” Competition 2009. He has published 6 books in Springer and over 110 international research papers (40+ SCI-indexed international journals and 50+ EI conference papers) e.g., in journals (JMLR, Neural Computation, IEEE T-PAMI, IEEE T-NNLS, IEEE T-BME, IEEE T-SMC, NN) and conferences (NIPS, IJCAI, SIGIR, UAI,CIKM, ICDM, ICML,ECML, CVPR). He serves as Associate Editor or Senior Associate Editor in three international journals: BMC Big Data Analytics, Cognitive Computation (JCR Tier1 Journal) , Neurocomputing (JCR Tier2 Journal). He also serves as Advisory Board Member in many Springer Book Series.

Machine Learning,Pattern Recognition,Information Retrieval,Image Processing

Professor Nong Ye received her Ph.D. degree (1991) in Industrial Engineering from Purdue University, and her M.S. degree (1988) and B.S. degree (1985) in Computer Science from the Chinese Academy of Sciences and Peking University, both in P. R. China. Dr. Ye’s past and current research activities have received over $8M external funding support and have produced eighty-five journal papers and five books.Her recent research involves developing data mining algorithms to discover multivariate data associations for capturing both partial-value and full-value variable associations as well as both individual and interactive effects of multiple variables. New algorithms have been applied to developing anomaly detection technologies and standards for cyber security and in finance, discovering common and uncommon characteristics of engineering students for engineering retention and success, and modeling energy systems to enable smart technologies for efficient energy production and use.

Data mining and analysis, anomaly detection, information and systems assurance, engineering education

Prof. Huiru (Jane) Zheng is a Professor of Computer Science with School of Computing and Mathematics, a full member of Computer Science Research Institute and a Fellow of the UK Higher Education Academy. She was awarded a PhD in Bioinformatics in 2003 and a Postgraduate Certificate in Teaching in Higher Education in 2005 from Ulster University.Prof. Zheng is an active researcher in bioinformatics and healthcare informatics. Prof. Zheng is an IEEE member. She serves on the editorial board of several international journals and serves as co-chairs and program committees of a number of international conferences.

data mining, data integration, machine learning and healthcare decision support

Fairouz Kamareddine has been involved in a number of worldwide consultancy assignments, especially on education and research issues working for United Nations and the EU. Her research interest includes Interface of Mathematics, Logic and Computer Science. She has held numerous invited positions at universities worldwide. She has well over 100 published articles and a number of books. She has played leading roles in the development, administration and implementation of interdisciplinary, international, and academic collaborations and networks.

Big Data, Data Mining

Dr. Alex Kuo holds a PhD from the Department of Computer Science, University of Nottingham, UK. He is a full time associate professor at the School of Health Information Science, University of Victoria, BC, Canada. He was a visiting scholar at the Electronic Commerce Resource Centre (ECRC), Georgia Tech. (1999-2000), and the Center for Expanded Data Annotation and Retrieval (CEDAR), School of Medicine, Stanford University (2015-2016). Now, he is the chair of the IEEE Big Data Education Track and the study group leader of Metadata Standard for Big Data Management at the IEEE Big Data Initiative (BDI).With over 20 years of programming and data analysis practical as well as research experience, he has over 140 peer-reviewed publications.

health Big Data analytics, health data interoperability, health database & data warehousing, data mining application in healthcare, e-health and clinical decision support system

Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is also one of the founding members of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-bommerce director in Australia and Asia. Dr. Fong has published over 300 international conference and peer-reviewed journal papers, mostly in the areas of data mining and optimization algorithms.

E-Commerce,Data Mining,Business Intelligence,Intelligent Agent Technology,Electronic Governance

Yedidi is one of the few cleared National Eligibility Test (NET) joint entrance test conducted by Counsel of Scientific and Industrial Research (CSIR) and University Grants Commission (UGC) for admission into Ph.D. and eligibility for Lectureship across India. Yedidi Narasimha Murty obtained Ph.D. in Applied Mathematics from Andhra University, India in 1998 with Computational Fluid Dynamics as specialization. Yedidi continued his research work at Andhra University with CSIR fellowship till March-2000. Yedidi worked as Research Associate with CSIR fellowship at Indian Institute of Technology (IIT) Madras. Since December-2005, Yedidi is Architecting Data warehousing solutions for clients like – Optus-Australia, Ford, Travelers,BestBuy, GE Commercial Finance, PayPal, Bank of the West. Yedidi is currently working with Electronic Arts as BI Solutions Architect. During this tenure, he designed and modeled several solutions on Risk, Payment Transaction processing that is useful for the data driven business enablement.

Big data, Data Mining

Dr. Joshua New is a computer scientist joining Oak Ridge National Laboratory (ORNL) in 2009. He received his Ph.D. in Computer Science at the University of Tennessee in 2009, his M.S. in Computer Systems and Software Design and his B.S. with a double major in Computer Science and Mathematics with a Physics minor from Jacksonville State University. Dr. New is a member of the Building Envelope & Urban Systems Research group and ORNL’s Urban Dynamics Institute. Dr. New currently serves at ORNL’s Building Technology Research Integration Center (BTRIC) as subprogram manager for software tools and models. He has over 100 peer-reviewed publications and has led more than 45 competitively-awarded projects in the past 5 years involving websites, web services, databases, simulation development, visual analytics, supercomputing using the world’s #1 fastest supercomputer and artificial intelligence for big data mining. He is an active member of IEEE and ASHRAE.

Human/Computer Interaction (HCI), Artificial Intelligence (AI), scientific visualization, automation, optimization, General Purpose computation on Graphical Processing Units (GPGPU), High Performance Computing (HPC), energy efficient buildings, computer vision, data fusion, robotics, computer graphics, virtual reality, drones, Brain Machine Interfaces (BMI), 3D printing, and quantum computing.

Henri Laude held various management positions in several leading companies and organizations such as OSIS/BULL (Directeur), META Group (now GARTNER - General Manager EMEA), METRIS (Vice President) and BNP Paribas (CIB Capital Markets, CARDIF Insurance: Manager/Director). Since 2015, Henri is the chief data scientist and cofounder of Advanced Research Partners (a startup involved in data sciences, competitive intelligence and cyber security - Paris & Hong Kong), he is the founder and chief data scientist of the BlueDsX's laboratory (french data sciences and cyber security laboratory of the Blue Soft Group). In 2016 he has published the successful book "Data Scientist et langage R" and he has created a new big data algorithm related to weak signals in multi-varied Time Series (published in the international review of competitive intelligence - R2IE). As APIEC/SCIP's Chapter chair, as business and IT alignment expert, as Competitive Intelligence & Data Sciences practitioner... Henri Laude likes to promote a 360° vision to ensure the resilience and the grow up of leading organizations. He is a startupper involved in the creation and funding of companies as an investor and/or senior advisor & contributor of ideas : co-Founder of e-XmlMedia software editor company, co-founder and 'business angel' of M4M holding company (venture capital firm), co-founder of Advanced Research Partners, Globality Ventures advisor (French & Asian tech strategic cooperation & founding), Xnotes (blockchain) board advisor ...

Big Data,Data Mining, Cyber Security

Dr. Turay is professor of Economics. He joined the faculty in the School of Business in 2012. Prior to coming to Kentucky State University, Professor Turay was a Visiting Research Professor at the Executive Ph.D. Program at Jackson State University, Provost and VPAA at Tougaloo College, Dean of Research and Graduate Studies at Western Carolina University and Southern Illinois University – Edwardsville respectively. He also served as Chair and Professor of Economics at Radford University, and Professor of Economics and International Trade at Mississippi State University. At Mississippi State he also served as Assistant to the Provost and VPAA. Professor Turay has written on topics related to international trade, international finance, economic development, national and international security. He has received several awards and distinctions including: Distinguished Scholar at the Southwest Economic Association’s 93rd Annual Meeting, 2013; Fulbright Senior Fellow, 1991 (Declined to accept the Chair of Economics position at Radford University); Malone Faculty Fellow: National Council on U.S. Arab Relations, 1990; Outstanding Teaching Award, Mississippi State University, 1988; Phi Kappa Phi, 1988; Beta Gamma Sigma, 1980; Omicron Delta Epsilon, 1974. Professor Turay has served on several Associations, Boards and Committees including: Board of Directors, Kentucky Employee Credit Union, 2013 – present; Committee member, Downtown Frankfort, Main Street Committee, 2012-present; Member and Past President, Southwest Social Sciences Association; Editor, Southwestern Journal of Economics, 1985 – present; Chair, College of Business and Computer Science, KSU Strategic Planning Committee, 2012 – present. Professor Turay has taught several courses including: Principles of Economics (macro and micro); International Economics; International Business, and Economic Development.

Principles of Economics (macro and micro); International Economics; International Business, and Economic Development.

Hongfei Li is a Principal Data Scientist and Manager of Data Science Team in IBM Analytics, NY, USA. She obtained her PhD in Statistics from Department of Statistics in the Ohio State University and has published many papers in the top journals. She has given presentations in many conferences in the areas of Statistics, Machine Learning, etc.

big data, data mining

Jingsong Wang is a Principle Software Developer at Oracle. He has rich design and development experience in building software systems, especially intelligent systems based on data and machine learning technologies. He has research interests in various areas, including logical and probabilistic reasoning, machine learning, and ontology. He received his Ph.D. in the area of artificial intelligence from the University of South Carolina.

He has research interests in various areas, including logical and probabilistic reasoning, machine learning, and ontology

Panos M. Pardalos serves as Distinguished Professor of Industrial and Systems Engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor in Industrial & Systems Engineering. He is also an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the Biomedical Engineering Program. He is also the Director of the Center for Applied Optimization. Dr. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.

His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.

Yi Hu graduated from the University of Arkansas with Ph.D. degree in Computer Science in 2006. He came to the United States to pursue his graduate study in 2000. He studied one year in M.S. program of Computer Science at the University of North Dakota from 2000 to 2001. Then he moved to the University of Arkansas to continue his graduate study. He obtained his M.S. degree in Computer Science in 2002 and then continued his Ph.D. study at the University of Arkansas. In 2004, he joined Acxiom Corporation as a software developer until 2007.

His research concentrates on Information Assurance, Database Systems, Data Security (e.g., intrusion detection, database damage assessment and recovery), Data Mining, and Trust Management in Cyberspace.

Allel HADJALI is Full Professor in Computer Science at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France. He has been an Associate Professor in Computer Science both in University of Rennes 1 (France) and University of Tizi-ouzou (Algeria). He is a member of the Data & Model Engineering research team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS/ISEA-ENSMA). His main area of research falls within Data Science field, and more specifically, the research topics related to Data Exploitation & Analysis, Knowledge Extraction and Recommendation. His current research interests include Computational Intelligence in Databases, Data Uncertainty, Cooperative/Intelligent Databases, Recommendation Systems, Web Services, Qualitative and Uncertain Reasoning with applications to Artificial Intelligence and Information Systems. His recent works were published in well-known journals (e.g., Applied Soft Computing, Knowledge and Information Systems, Fuzzy Sets and Systems, International Journal of Intelligent Systems, Journal of Intelligent Information Systems and Annals of Mathematics and Artificial). He also published several papers in International Conferences (ESWC, ICTAI, Fuzz-IEEE, FQAS, SUM, ISMIS, IPMU, CoopIS, IFSA, ACM SAC, ICWS, SCC, ER, VLDB and EDBT (demo papers)). He co-organized several special sessions on "Advances in Soft Computing Applied to Databases and Information Systems" in conjunction with EUSFLAT (2009 and 2011) Conference, “Advances in Bipolarity in Databases” in conjunction with EUSFLAT (2013), “Advances in Data Management in the Context of Incomplete Databases” in conjunction with IFSA (2015) Conference. He co-organized also several special issues in well-known journals, among them, "Flexible Queries in Information Systems" in Journal of Intelligent Information Systems (2009) and "On Advances in Soft Computing Applied to Databases and Information Systems" in Fuzzy Sets and Systems Journal (2011).

Computational Intelligence in Databases, Data Uncertainty, Cooperative/Intelligent Databases, Recommendation Systems, Web Services, Qualitative and Uncertain Reasoning with applications to Artificial Intelligence and Information Systems

Boris Mirkin is a Professor at the Faculty of Computer Science, National Research University Higher School of Economics, Moscow RF. He holds a PhD in Computer Science and DSc in Systems Analysis degrees from Russian Universities. In 1991-2010 he extensively traveled taking visiting research appointments in France, USA, Germany, and a teaching appointment at Birkbeck University of London, UK. He develops methods for clustering and interpretation of complex data within the “data recovery” perspective. Currently these approaches are being extended to automation of text analysis problems including the development and use of hierarchical ontologies.

Data Analysis, Artificial Intelligence

Timothy Arndt has been a faculty member at Cleveland State since 1998. Prior to that Timothy Arndt was a faculty member at Lamar University and Texas State University - San Marcos and an adjunct faculty member at L'Universita degli Studi del Sannio. Timothy Arndt has also worked for Italdata S.p.A. and Microelectronics and Computer Technology Corporation (MCC).

Social and Ubiquitous Multimedia, e-Learning and e-Training, Mobile and Ubiquitous Learning, Social and Information Network Analysis, Semantic Grid and Semantic Business Process Management.

Dr. Ahmad received a BSc degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, in 1985, and an MS degree in Computer Engineering and a PhD degree in Computer Science from Syracuse University, New York, U.S.A., in 1987 and 1992, respectively. His research has been related to high-performance parallel and distributed computing, multicore processors, optimization algorithms, multimedia systems, and video compression techniques. His current focus is on developing energy-ware "green" high-performance computing systems and data centers.

High-Performance Computing,Smart Energy Grid for Sustainability,Technologies for People with Disabilities,Image and Video Analysis

Dr. Fillia Makedon is the Jenkins-Garrett Professor at the University of Texas at Arlington (UTA). She received her Ph.D. in Computer Science from Northwestern University in 1982. Between 1991-2006, she was Professor of computer science at Dartmouth College where she founded and directed the Dartmouth Experimental Visualization Laboratory (DEVLAB). Between 2006 and 2014 she served as the department chair of the CSE Department at UTA. Prior to that , in 2005-2006, she was Program Director at the National Science Foundation. Prior to Dartmouth, Prof. Makedon was Assistant and Associate Professor at the Univ. of Texas at Dallas (UTD), where she founded and directed the Computer LEArning Research Center (CLEAR). She supervised over 27 Ph.D. theses and numerous Masters Degree theses. Makedon has received many NSF research awards in the areas of trust management, brain computing, data mining, parallel computing, visualization, knowledge management, cyberphysical systems, major research instrumentation, and cyberhuman systems, to name a few. She has been senior investigator and co-PI of NIH, DOJ and Foundation grants. She received the Dartmouth Senior Research Professor Award, three Fulbright awards, and is author of over 350 peer-reviewed research publications. She is faculty affiliate of the Dartmouth ISTS security institute and currently directs the HERACLEIA Human Centered Laboratory, that develops pervasive technologies for human monitoring. She is member of several journal editorial boards and chair of the international PETRA conference (petrae.org). She currently supervises 12 Ph.D. students, several undergraduates and MS students.

Design Automation, Graph Theory Applications, VLSI Algorithms, Circuit Testing, Parallel Computation and Packet Routing, Algorithm Visualization and Computational, Multimedia, Cybersecurity systems for medical applications

Fionn Murtagh is Professor of Data Science and previously he was into Big Data in Education, Astrophysics and Cosmology. He was the Director of National Research Funding across many domains including Computing & Engineering, Energy, Nanotechnology and Photonics. He has been the Professor of Computer Science, including Head of Department, and Head of School at many universities. He was the Editor-in-Chief of the Computer Journal for more than 10 years, and is a Member of the Editorial Boards of many other journals.

Data Mining, Big Data

Yedidi is one of the few cleared National Eligibility Test (NET) joint entrance test conducted by Counsel of Scientific and Industrial Research (CSIR) and University Grants Commission (UGC) for admission into Ph.D. and eligibility for Lectureship across India. Yedidi Narasimha Murty obtained Ph.D. in Applied Mathematics from Andhra University, India in 1998 with Computational Fluid Dynamics as specialization. Yedidi continued his research work at Andhra University with CSIR fellowship till March-2000. Yedidi worked as Research Associate with CSIR fellowship at Indian Institute of Technology (IIT) Madras. Since December-2005, Yedidi is Architecting Data warehousing solutions for clients like – Optus-Australia, Ford, Travelers,BestBuy, GE Commercial Finance, PayPal, Bank of the West. Yedidi is currently working with Electronic Arts as BI Solutions Architect. During this tenure, he designed and modeled several solutions on Risk, Payment Transaction processing that is useful for the data driven business enablement.

Big data, Data Mining

Robert S Laramee received a Bachelor’s degree in Physics from the University of Massachusetts, Amherst. In 2000, he received a Master’s degree in Computer Science from the University of New Hampshire, Durham. He was awarded a PhD from the Vienna University of Technology, Austria at the Institute of Computer Graphics and Algorithms in 2005. From 2001 to 2006 he was a Researcher at the VRVis Research Center (www.vrvis.at) and a Software Engineer at AVL (www.avl.com) in the Department of Advanced Simulation Technologies. Currently, he is an Associate Professor in the Department of Computer Science at the Swansea University, Wales. His research interests are in the areas of Big Data Visualization, Visual Analytics, and Human-Computer Interaction. He has published more than 100 peer-reviewed papers in scientific.

His research interests are in the areas of Big Data Visualization, Visual Analytics, and Human-Computer Interaction

George Spanoudakis (BSc, MSc and PhD) is full Professor in the School of Mathematics, Computer Science and Engineering at City University London and Director of the Research Centre on Adaptive Computing Systems (CeNACS). He is also a member of the Council of the University of Piraeus in Greece (2013-). Prior to his current posts, he had been Head of the Department of Computing at City University (2004-07) and Associate Dean for Research of the School of Informatics (2010-14). He has held visiting positions at the Universities of Crete, Essen, Malaga, and the London School of Economics and ICS-FORTH. His research interests are in the field of software systems engineering with a current focus on service and cloud computing and software systems security. Within the wider field of his research, he has published more than 140 peer-reviewed scientific papers and books and has attracted research funding in excess of €6m, including R&D projects funded by the EU, national research councils, ENISA and directly by the industry. Prof. Spanoudakis has served in the program committees of more than 170 international conferences and workshops, and has chaired/co-chaired several of them (e.g., SEKE ’06, SEKE ’07, CISIS ’11, NTMS ’14, ACG ‘14). He is also a member of the editorial boards of 10 international journals. Beyond research, he is providing advisory services to private companies, universities, public funding and standardization organisations in the UK and overseas. S)

service oriented computing, cloud computing and software systems security

Robert S. Laramee received a bachelors degree in physics, cum laude, from the University of Massachusetts, Amherst (ZooMass). He received a masters degree in computer science from the University of New Hampshire, Durham. He was awarded a PhD from the Vienna University of Technology (Gruess Gott TUWien), Austria at the Institute of Computer Graphics and Algorithms in 2005. From 2001 to 2006 he was a researcher at the VRVis Research Centerand a software engineer at AVL in the department of Advanced Simulation Technologies.Currently he is an Associate Professor at the Swansea University (Prifysgol Cymru Abertawe), Wales in the Department of Computer Science (Adran Gwyddor Cyfrifiadur). His research interests are in the areas of scientific visualization, information visualization, and visual analytics. He has published more than 100 peer-reviewed papers in scientific journals and conferences.

scientific visualization, information visualization, and visual analytics

Jingsong Wang is a Principle Software Developer at Oracle. He has rich design and development experience in building software systems, especially intelligent systems based on data and machine learning technologies. He has research interests in various areas, including logical and probabilistic reasoning, machine learning, and ontology. He received his Ph.D. in the area of artificial intelligence from the University of South Carolina.

He has research interests in various areas, including logical and probabilistic reasoning, machine learning, and ontology

Jeff Lei is a full professor in Department of Computer Science and Engineering at the University of Texas, Arlington. He received his Bachelor's degree from Wuhan University (Special Class for Gifted Young), his Master's degree from Institute of Software, Chinese Academy of Sciences, and his Ph.D. degree from North Carolina State University. He was a Member of Technical Staff in Fujitsu Network Communications, Inc. for about three years. His research is in the area of automated software analysis, testing and verification, with a special interest in software security assurance at the implementation level.

I am interested in developing methods, techniques, and tools to increase the productivity of software practitioners so that they can develop better software faster. In particular, I am interested in automated software analysis, testing, and verification techniques, currently with a special focus on software security assurance.

Dr. Mary Mehrnoosh Eshaghian-Wilner has over 26 years of research experience in various areas within the field of Computer Engineering. Additionally, she has worked in the area of patent law for several years. She has published numerous scientific papers, including two books, and has handled the prosecution and infringement analysis of many complex U.S. and international patents. Dr. Eshaghian-Wilner currently is a Professor of Engineering Practice at the Electrical Engineering-Systems Department at the University of Southern California (USC), and since 2004 has been an Adjunct Professor of Electrical Engineering at the University of California, Los Angeles (UCLA). Prior to joining UCLA, she was a tenured full Professor and Department Head at the Computer Engineering Department of Rochester Institute of Technology

Computing Architectures and Interconnects: Bio-inspired and Nanoscale Computing, MEMS, Optical Interconnects, VLSI and Reconfigurable chips Computing Networks and Algorithms: Heterogeneous/Cluster/Grid/Cloud Computing, Mapping and Scheduling paradigms/algorithms/tools Biomedical Applications: Nanomedicine, Bioinformatics, Sequence Alignment, Image-Processing, Computer Vision Technology Law: Technology Transfer, Intellectual Property, Patent Reform, Digital Rights, Cyber Law/Crimes, Internet Privacy

Dr. Akbar Namin is an Associate Professor of Computer Science at Texas Tech University. His research focuses on Software Engineering, Program Analysis, Cyber Security, Statistical analysis and Machine Learning. He also works on privacy issues in data and information leakage. Dr. Namin has authored over 50 technical articles published in premier Software Engineering venues including ACM/IEEE International Conference in Software engineering, ACM International Symposium in Software Test and Analysis, Journal of IEEE Transactions in Software Engineering .He has served on program committees of numerous conferences in empirical Software Engineering, Cybersecurit Dr. Namin’s research is sponsored by National Science Foundation (NSF). Dr. Namin received his Ph.D. in Computer Science from the University of Western Ontario, Canada. He also worked as a guest researcher at the National Research Council in Canada (NRC) for two years.

Software Engineering, Program Analysis, Cyber Security, Statistical analysis and Machine Learning

Dr. Yu Zhuang is an Associate professor in Department of Computer Science at the Texas Tech University. He received his Bachelor's degree from Zhejiang University, his Master's and Ph.D. degrees from Louisiana State University. He is a member of ACM, IEEE Computer Society, and SIAM.

His research interests include high-dimensional data learning, modeling, searching, and application to semiclassical molecular dynamics, high-performance computing, performance-focused memory and I/O algorithms and scientific computing.

Dr. Jingshan Huang is an Associate Professor (with tenure) of Computer Science in the School of Computing (SoC) at the University of South Alabama (USA). Dr. Huang received his Ph.D. in Computer Science and Engineering from the University of South Carolina in 2007. Prior to his current position, Dr. Huang was an Assistant Professor at Benedict College and a Research Specialist at the Medical University of South Carolina, respectively.Dr. Huang has published over 50 refereed papers including those in mainstream journals such as PLOS ONE, Pharmaceutical Research, and BMC Genomics, as well as leading bioinformatics conferences such as BIBM and BCB. Dr. Huang established and has been supervising the South Biomedical Informatics (SBI) Research Group housed in the USA SoC. He has also participated in a wide variety of professional service, including: NSF panelists, Journal Editorial/Review Board members, Conference Steering Committee members, Conference and Workshop Co-Chairs, Book Editorial Advisory Board members, and invited journal/book editors, as well as serving as Program Committee members for many top international conferences. Dr. Huang's research has been supported by the NIH, NSF, and DOE.

Data Semantics and Web Data; Artificial Intelligence and Big Data; and Bioinformatics and Computational Biology, with a unifying theme of the semantics and analysis of data and information, as well as their innovative applications on human genomics and transcriptomics

Professor Fairouz Kamareddine's research is at the interface of Mathematics, Logic and Computer Science where she has been involved in a number of worldwide consultancy assignments, especially on education and research issues working for the United nations and the EU. She has held numerous invited positions at universities worldwide. She has well over 100 published articles and a number of books. She has played leading roles in the development, administration and implementation of interdisciplinary, international, and academic collaborations and networks.

Digitization and Automation of text data, formal verification, syntax and semantics of programming, type theory and logic, the correctness of programs and specification.

Liz Bacon is Immediate Past President of the BCS, The Chartered Institute for IT, and a Deputy Pro-Vice-Chancellor at the University of Greenwich in London, with a University-wide remit leading the development of technology enhanced learning. She is a past Chair of the BCS Academy of Computing, and the CPHC (Council of Professors and Heads of Computing) national committee. Liz is a Professor of Software Engineering with over a hundred publications and a Co-Director of the eCentre research group. She is an experienced journal and conference reviewer, editorial board member, and PhD supervisor, and has been involved in several EU research projects, including being Principal Investigator and Project Coordinator for two EU FP7 projects in the past four years. She is an experienced systems designer and developer and has applied her research in technology enhanced learning, software engineering, artificial intelligence and cyberterrorism to a range of application areas such as crisis management and health. Within technology enhanced learning her research has focussed on the following areas: smart games-based learning environments; metacognition and learning strategies; and adaptable, adaptive and personalised systems.

Big Data, Data Mining

Dr. Xianghua Xie is an Associate Professor in the Visual Computing Group at the Department of Computer Science, Swansea University. He held an RCUK Academic Fellowship between September 2009 and March 2012, and he was a Senior Lecturer between October 2012 and March 2013. Prior to his position at Swansea, he was a Research Associate in the Computer Vision Group, Department of Computer Science, University of Bristol, where he obtained his PhD in Computer Science and MSc in Advanced Computing (with commendation) in 2006 and 2002, respectively. He has strong research interests in video analysis, stereo systems, active contour models, level set methods, texture analysis, and medical image understanding. He leads a team of researchers at Swansea University in these areas, and has published over 100 papers in computer vision and pattern recognition. He is associate editor of IET Computer Vision, and general chair of BMVC2015 and MIUA2012. He is a senior member of IEEE.

video analysis, stereo systems, active contour models, level set methods, texture analysis, and medical image understanding

Alexandra I. Cristea is an associate professor (Reader) and head of the Intelligent and Adaptive Systems Research Group at the University of Warwick. She is also the deputy chair of the Graduate Studies Committee of the Faculty of Science and director of postgraduate research in computer science. Her research interests include user modeling, personalization, the Semantic Web, and the social Web. Cristea has a PhD in computer science from the University of Electro-Communications, Tokyo. She is a British Computer Society (BCS) fellow, a Higher Education Academy (HEA) associate fellow, and a member of IEEE and the IEEE Computer Society.

modeling, personalization, the Semantic Web, and the social Web

Marcelo Milrad is a Full Professor of Media Technology at the Faculty of Technology at Linnaeus University (LNU) in Sweden. He is also the director of the Center for Learning and Knowledge Technologies (CeLeKT). His current research interests include the design of learning environments to support learning about complex domains, collaborative discovery learning and the development of mobile and wireless applications to support collaborative learning. Professor Milrad teaches undergraduate courses in media technology and computer science with a special focus on XML, web 2.0 and mobile technologies. He teaches also at the international master program on Social Media and Web technologies at LNU. In addition, Professor Milrad is actively involved in doctoral courses in the field of Technology Enhanced Learning.

His current research interests include the design of learning environments to support learning about complex domains, collaborative discovery learning and the development of mobile and wireless applications to support collaborative learning

Dr. Seung Hyun Baek is an professor of Division of Business Administration in College of Economics & Business Administration at Hanyang University ERICA campus. He received a B.S. in Industrial Engineering from Myongji University and an M.S. in Industrial and Systems Engineering from Georgia Institute of Technology and a Ph.D. in Industrial and Information Engineering from University of Tennessee, Knoxville.

Dr. Baek’s research interests are total quality management, supply chain management, operations management, management science, business intelligence & analytics, statistical data mining, and machine learning, business consulting methodology

Dr. Galina Momcheva is an Associate Professor in Computer Science at Varna Free University “Chernorizets Hrabar”, Bulgaria. She was the Head of Department of Computer Science (2013-2015) and now she is the Head of Department of Computer Science and Economics (since 2015) after some structural reforms. After strong background (more than 15 years) in Programming and Data Structures and Algorithms including preparation of competitors in informatics in Bulgaria, she is still a supervisor of research projects of young scientists (Bioinformatics, Computer Vision). Now she has strong research interests in data mining, semantic data, visualizations and UI/UX. She develops at VFU and leads master degree programs in ‘Data Science’ (2016), ‘Software Engineering and Management’ (2016) and ‘Computer Games and Animation’ (2014). Dr. Momcheva is a member of ACM (since 2006), the member of the Union of Bulgarian Mathematicians and its executive board in Varna region (1995-2016) and also she is the Charman of ICT Cluster-Varna (since 2016). She is an Oracle Academy lecturer and an initiator of a lot of activities for computer science for fun and visual programming for students’ classes in the country. She participates in national educational standards developing teams of experts.

Data Science, Data Visualizations, Semantic Data, Social Network Analysis, UI/UX, Entrepreneurial Ecosystems’ Development, Computer Science Education

Prof (Dr.) N.V. Subba Reddy was working as the professor and Head of the Department, in the Department of Computer Science and Engineering, at Manipal Institute of Technology, Manipal University, Manipal from September 2001 to September 2007.He is well versed with regulatory requirements of Technical Education of State and Central Governments (DTE and AICTE/MHRD). His experience in Government Engineering College: Familiar with state government cadre and recruitment rules, stores and purchase rules, and AG rules for finance management. He is also capable of assessing technical research projects and Ph.D. research protocols. He is well versed with State Government University Act and UGC Act and has served in many University academic and administrative committees as Chairman/ Member. He is the recipient of Best Paper Award for the session “Intelligent Systems and Tools”, in the 8th World Multi-conference on Systemic, Cybernetics and Informatics, held in Orlando, Florida, USA.

Machine Learning, Data mining, Pattern Recognition, Document Image Processing for the development of intelligent Systems for real world applications

Dr. Vasenkov has received his Ph. D. degree in Physics and Mathematics from the Russian Academy of Science in 1996. Between 1996 and 1999, he was researcher and then senior researcher in the Institute of Thermophysics at the Russian Academy of Science. He was trained as a postdoctoral fellow in the Department of Chemistry at the University of British Columbia in 1999-2001 and in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign in 2001-2003. From 2003 till 2013 he directed engineering modeling, and related R&D efforts at CFD Research Corporation. Dr. Vasenkov was awarded and successfully managed peer-reviewed grants and contracts from major federal agencies (DOE, NSF, and DoD) and private companies such as Samsung Advanced Institute of Technology. He was co-PI of consulting service projects for many industrial companies including MKS, Inficon, GE, CoorsTek, and Caterpillar. Most recently, he co-founded a small-business company Multi Scale Solutions focusing on the development and commercialization of scientific business intelligence software for applications in Life Science, Nanotechnology, and Materials. He established network within academia, industry, and national laboratories. Dr. Vasenkov is executive editor of Journal of Nanomedicine & Nanotechnology. He authored/co-authored over 30 publications in peer-reviewed journals, 1 book chapter, and over 50 presentations at leading scientific conferences.

Data Mining

Dr. Arun Kulkarni, Professor of Computer Science, has been with The University of Texas at Tyler since 1986. He has more than seventy refereed papers to his credit, and he has authored two books. His awards include the Office of Naval Research (ONR) 2008 Senior Summer Faculty Fellowship award, 2005-2006 President’s Scholarly Achievement Award, 2001-2002 Chancellor's Council Outstanding Teaching award, 1997 Piper Award Nominee and the 1984 Fulbright Fellowship award. He has been listed in who's who in America. He has successfully completed eight research grants. Dr. Kulkarni obtained his Ph.D. from the Indian Institute of Technology, Bombay, and was a post-doctoral fellow at Virginia Tech.

Soft Computing Remote Sensing and GIS Data Mining Machine Learning Artificial Intelligence Computer Vision Database Systems Image Processing

Prof. Sousa has more than 40 years of engineering experience. He has an extensive international experience on a large range of projects. He is Full Professor at the University of Porto in Portugal and is multilingual. He has authored or co-authored over 20 books and hundreds of journal articles, presentations and reports. He was President of SKEC Engineering Consulting and is consultant for Laboratory of Deep Underground Engineering, Beijing and consulting engineer in Switzerland, China, Oman, and Portugal. He is now professor at China University of Mining and Technology, Beijing, and Sichuan University, Chengdu, China.

Data Mining

Dr. Susan Mengel is an associate professor and the MSSE program coordinator at Texas Tech University. She received her Ph.D. from Texas A&M University in 1990. She has played strategic leadership roles in numerous multidisciplinary projects involving the delivery of innovative software and data models in sleep management, student retention and advising, computer education, nutrition, speech therapy, and cybersecurity. She has served on grants from NSF, the Texas Coordinating Board, and the Department of Agriculture. She has published more than 40 refereed papers in prestigious venues, such as the IEEE and ACM conferences and Elsevier journals. She helped to establish the Master's in Software Engineering degree program at Texas Tech University, served as Vice-President for the Texas Tech Faculty Senate, chaired the IEEE Software Engineering Education and Training Conference, served on the Steering Committee of the ACM/IEEE Computing Curriculum, and served on the IEEE Computer Society Board of Governors. She currently serves on the Texas Tech Institutional Review Board for the Protection of Human Subjects and is the Associate Editor for Computing for the IEEE Transactions on Education.

Data Mining

Kishan Mehrotra has received his early graduate education, leading up to master degree in statistics from Lucknow University, India. He holds a Ph.D. degree in Statistics from the University of Wisconsin, Madison. He joined Syracuse University in 1970 and presently he is Chair & Professor in the Department of Electrical Engineering and Computer Science. During the course of past forty years he has spent some years away as a visiting professor at Brooks Air Force Base, San Antonio, Texas, Indian Statistical Institute, New Delhi, University of Wisconsin, Madison; and CMU, Pittsburgh. From 1998 to June 2009 he served as the Director of the Computer and Information Science and earlier from 1989 to 1991 he served as the Director of Applied Statistics Program at Syracuse University. Kishan Mehrotra has written more than 190 papers and journal articles in several areas including non-parametric methods, theory of statistics, reliability theory, data mining, artificial intelligence, classification methods, wireless networks and sensor fusion, bioinformatics, etc. He has co-authored a book on neural networks. Recently, he has taken an interest in developing algorithms to achieve community structures in a Social Network. His current research interests include Data Mining, Bioinformatics, and Social Networks.

Data Mining, Bioinformatics, and Social Networks.

Dr. Akbar Namin is an Associate Professor of Computer Science at Texas Tech University. His research focuses on empirical software engineering, automated software engineering, assessment of software test techniques using statistical analysis, and modeling software engineering data using machine learning algorithms. He also works on privacy issues in data and information leakage. Dr. Namin has authored over 50 technical articles published in premier Software Engineering venues including ACM/IEEE International Conference in Software engineering, ACM International Symposium in Software Test and Analysis, Journal of IEEE Transactions in Software Engineering .He has served on program committees of numerous conferences in empirical Software Engineering, Cybersecurit Dr. Namin’s research is sponsored by National Science Foundation (NSF). Dr. Namin received his Ph.D. in Computer Science from the University of Western Ontario, Canada. He also worked as a guest researcher at the National Research Council in Canada (NRC) for two years.

Empirical software engineering, Automated software engineering, Assessment of software test techniques using statistical analysis, and Modeling software engineering data using machine learning algorithms

Dr.Panos M. Pardalos serves as Distinguished Professor of Industrial and Systems Engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor in Industrial & Systems Engineering. He is also an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the Biomedical Engineering Department. He is also the Director of the Center for Applied Optimization. Dr. Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing. He is a fellow of AAAS and INFORMS and his recent awards include the Constantin Carathéodory Prize, (July 2013) and the 2013 EURO Gold Medal .

Network design problems, Optimization in telecommunications, e-commerce, Data Mining, Biomedical applications, and Massive Computing

Dr. Jingshan Huang is an Associate Professor of Computer Science in the School of Computing (SoC) at the University of South Alabama (USA). Dr. Huang received his Ph.D. in Computer Science and Engineering from the University of South Carolina in 2007. Prior to his current position, Dr. Huang was an Assistant Professor at Benedict College and a Research Specialist at the Medical University of South Carolina, respectively.. He has published more than 40 refereed papers including those in mainstream journals such as PLOS ONE, Pharmaceutical Research, and BMC Genomics, as well as leading bioinformatics conferences such as BIBM and BCB. Dr. Huang established and has been supervising the South Biomedical Informatics (SBI) Research Group housed in the USA SoC. He has also participated in a wide variety of professional service, including: NSF panelists, Journal Editorial/Review Board members, Conference Steering Committee members, Conference and Workshop Co-Chairs, Book Editorial Advisory Board members, and invited journal/book editors, as well as serving as Program Committee members for many top international conferences. Dr. Huang's research has been supported by NIH, NSF, and DOE.

Data Semantics and Web Data; Artificial Intelligence and Big Data; and Bioinformatics and Computational Biology, with a unifying theme of the semantics of data and information.

Dr. Liang joined ASU in 2008 after six years with Siemens where he was engaged in research and development activities in the domain of computer aided diagnosis in medical imaging. He holds a Ph.D. degree (2001) in computer science and carried out his thesis work at the Turku Centre for Computer Science in Finland and in the Visual Modeling Group at the University of Toronto in Canada. His research on dynamic chest image analysis received a University Faculty Research Award from the University of Turku. From 2001-02, he was a Natural Sciences and Engineering Research Council (NSERC) of Canada Industrial Research Fellow. He holds 5 US patents and more than 15 patents pending.

Biomedical Informatics