Jason Nieh

Jason Nieh is a Professor of Computer Science and Co-Director of the Software Systems Laboratory at Columbia University. He has served as a consultant to both government and industry, including as the technical advisor to nine States on the Microsoft Antitrust Settlement, and as an expert witness before the US International Trade Commission. He was previously Chief Scientist of Cellrox and Desktone, acquired by VMware. Professor Nieh has made research contributions in software systems across a broad range of areas, including operating systems, virtualization, thin-client computing, cloud computing, mobile computing, multimedia, web technologies, and performance evaluation. Technologies he developed are now widely used in Android, Linux, and other major operating system platforms. Honors for his research work include the Sigma Xi Young Investigator Award, awarded once every two years in the physical sciences and engineering, a National Science Foundation CAREER Award, a Department of Energy Early Career Award, five IBM Faculty Awards and two IBM Shared University Research Awards, six Google Research Awards, and various best paper awards, including those from MobiCom, SIGCSE, SIGMETRICS, and SOSP. A dedicated teacher, he received the Distinguished Faculty Teaching Award from the Columbia Engineering School Alumni Association for his innovations in teaching operating systems and for introducing virtualization as a pedagogical tool. Professor Nieh earned his B.S. from MIT and his M.S. and Ph.D. from Stanford University, all in Electrical Engineering.

Dan Rubenstein

Dan Rubenstein is an Associate Professor in the Department of Computer Science at Columbia University. He received a B.S. degree in mathematics from M.I.T., an M.A. in math from UCLA, and a PhD in computer science from University of Massachusetts, Amherst. His research interests are in network technologies, applications, and performance analysis. He was an editor for IEEE/ACM Transactions on Networking, was general chair of IFIP Performance 2017, program chair of IFIP Networking 2010 and ACM Sigmetrics 2011, and has received an NSF CAREER Award, IBM Faculty Award, the Best Student Paper award from the ACM SIGMETRICS 2000 conference, and Paper awards from the IEEE ICNP 2003 Conference, ACM CoNext 2008 Conference, and IEEE Communications 2011. He spent 2011 at Google, and in 2012 was the original Chief Scientist at Infinio, a company founded on his research at Columbia.

Yang (Richard) Yang

Yang (Richard) Yang is the Professor of Computer Science and Electrical Engineering at Yale University, where he founded and leads the Laboratory of Networked Systems (LANS). Dr. Yang's research is supported by both US government funding agencies and leading industrial corporations, and spans areas including computer networks, mobile computing, wireless networking, and network security. His work has been implemented/adopted in products/systems of major companies (e.g., AT&T, Alcatel-Lucent, Cisco, Google, Microsoft, Youku), and featured in mainstream media including Economist, Forbes, Guardian, Chronicle of Higher Education, Information Week, MIT Technology Review, Science Daily, USA Today, Washington Post, and Wired, among others. His awards include a CAREER Award from the National Science Foundation and a Google Faculty Research Award. Dr. Yang's received his B.E. degree in Computer Science and Technology from Tsinghua University (1993), and his M.S. and Ph.D. degrees in Computer Science from the University of Texas at Austin (1998 and 2001).

Rajeev Narayanan

Rajeev Narayanan is currently a Research Scientist in the Healthcare & Life sciences division of IBM Thomas J. Watson Research Center, Yorktown Heights, NY USA. He is also an adjunct faculty at the University of Connecticut, Stamford. Prior to his position at IBM, from 2012-mid 2017, he was an Assistant Professor at SUNY, New Paltz in the department of Computer Engineering. Dr. Narayanan received his Ph.D. in Electrical and Computer Engineering from Concordia University. During that time he was also a Research Assistant in Hardware Verification Group, Concordia University from 2007-2012. Prior to that, he worked as Staff R&D Engineer in IBM Microelectronics from 1999-2006.
His research areas include Healthcare invasive/non-invasive systems, Cognitive IoT, Reconfigurable computing, Analog & mixed-signal modeling, and Formal Verification.He is the Faculty Advisor of IEEE Mid-Hudson Section and has authored many papers and patents. He has received numerous awards and grants such as NSF AMP/CSTEP Summer Research Program Award, State University of New York in 2016, Dean’s Summer Research Award, State University of New York in 2013-2014, Summer Undergraduate Research Award, State University of New York, 2013.

Changxi Zheng

Changxi Zheng is currently an Associate Professor in the Computer Science Department at Columbia University.He is also co-directing Columbia's Computer Graphics Group (C2G2) in Columbia Vision and Graphics Center (CVGC). He received his Ph.D. from Cornell University with the Best Dissertation Award and his B.S. from Shanghai Jiaotong University. He currently serves as an associated editor of ACM Transactions on Graphics. He was a Conference Chair for SCA in 2017, has won an NSF CAREER Award, and was named one of Forbes’ “30 under 30” in science and healthcare in 2013. He received the Best Paper Awards from 2016 SCA and 2017 UIST, among others. Changxi's current research is on the boundary between computational methods and physical devices. He is particularly interested in developing simulation methods for complex physical systems, the computational models for optical and acoustic sensing, and the computational design of structures and materials.

Venkatesh Venkataramanujam

Venkatesh Venkataramanujam is currently the Senior Design Engineer at Amazon Robotics.He received his Ph.D. and Master's from Florida Institute of Technology in Mechanical Engineering (Kinematics, Dynamic Systems and Controls - Robotics) and his B.S. from University of Mumbai in theField Of Study Mechanical Engineering. Previously he was the Trainee Engineer in Fitwell Construction Company and worked for Research Assistant in Clarkson University and Florida Institute of Technology. He was the CAE Engineer -Core CAE Methods and Integration (Digital Innovation: Virtual Verification)at Ford Motor Company and was the Solution Design Engineer in Amazon Robotics.

Pierre Larochelle

Pierre Larochelle (Ph.D., Mechanical Engineering, University of California at Irvine) is the Department Head and a Professor of Mechanical Engineering at the South Dakota School of Mines & Technology. Previously he served as an Associate Dean and Professor of Mechanical Engineering at the Florida Institute of Technology. His research focuses on the design of complex robotic mechanical systems and enabling creativity and innovation in design. He is the founding director of the Robotics and Spatial Systems Laboratory (RASSL), has over 100 publications, holds two US patents, and serves as a consultant on robotics, automation, machine design, creativity & innovation, and computer-aided design. He serves on the Executive Committee of ASME’s Design Engineering Division and will serve as Chair of the Division in 2018-2019. He serves on ABET’s Engineering Accreditation Commission (EAC) and as an ABET Accreditation Visit Team Chair. Moreover, he currently serves as the Chair of the U.S. Committee on the Theory of Mechanisms & Machine Science and represents the U.S. in the International Federation for the Promotion of Mechanism & Machine Science (IFToMM) (2016 – 2020). He has served as Chair of the ASME Mechanisms & Robotics Committee (2010-2014) and as an Associate Editor for the ASME Journal of Mechanisms & Robotics (2013 – 2016, 2017 – present), the ASME Journal of Mechanical Design (2005 – 2011), and for Mechanics Based Design of Structures & Machines (2006 – 2013). He is a Fellow of the American Society of Mechanical Engineers (ASME), a Senior Member of IEEE, and a member of Tau Beta Pi, Pi Tau Sigma, ASEE, and the Order of the Engineer.

Harold Jean-Baptiste

Harold Jean-Baptiste is the Chief Data Scientist at Capital Intelligence Advisors. His team is responsible for developing fixed income, derivatives and quantitative equity strategies, as well as cross-asset allocation for investment clients. Harold is a seasoned data scientist with over 16 years of experience in the financial services and insurance industries.

Prior to joining Capital Intelligence Advisors Harold was Executive Director Chief Data Scientist at Segmint where he developed algorithms for banking transaction data. Prior to Segmint Harold was a Data Scientist at General Electric Asset Management (GEAM) developing investment algorithms for fixed income and equities investment. Prior to GEAM Harold lead a group a where he implemented Big Data Hadoop technology architecture and data science solutions for a Fortune 500 company.

Harold holds a Bachelor of Integrated Information Systems and a Master of Business Administration in Finance from Long Island University.

In cheol Jeong

In cheol Jeong is currently an assistant research professor in the department of Material Science and Engineering, and in the inHealth Measurement Corps at Johns Hopkins University. Dr. Jeong received his PhD in Advanced Biomedical Engineering from Yonsei University. His post-doctoral fellowships were in the department of Anesthesiology and Pain Medicine at Seoul National University Hospital, in the division of Geriatric Medicine and Gerontology at Johns Hopkins University, and in the Johns Hopkins individualized Health Initiative. He has researched and developed medical devices and systems for ubiquitous healthcare applications; specifically, in the design and development of electronic and data- based biomedical systems. He also has contributed to a variety of research topics in heterogeneous
clinical and administrative datasets to improve health care quality and patient safety, and to facilitate the comprehensive patient-centered health care delivery model. His current research interests are the design and development of patient’s individualized medical systems, real-time safety monitoring systems, and health assessment systems.

Important Deadlines

Full Paper Submission:8th September 2018
Acceptance Notification: 20th September 2018
Final Paper Submission:30th September 2018
Early Bird Registration: 30th September 2018
Presentation Submission: 28th October 2018
Conference: 8th-10th November 2018

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• Conference Proceedings will be submitted for publication at IEEE Xplore Digital Library

•Best Paper Award will be given for each tracks

• There will be two workshops on-
i. Data Analysis and ii. IoT Workshop - Concepts to Implementation on Nov 10, 2018

• Conference Record No 44053