Data Science Symposium September 13, 2018

Watch highlights from Adobe's 4th Annual Data Science Symposium below.

Featured Speakers

Meet the Attendees

Ashish Goel Professor - Management Science and Engineering, Stanford University

Adobe Grant Recipient 2018

Ashish Goel

Research Interests: Conducts design, analysis, and applications of algorithms.Current application interests include Social Networks and Social Algorithms; Crowdsourced Democracy; Internet Commerce; Reputation, Recommendation, and Trust Systems; Algorithms for large scale data processing.

Brittany Duff - Associate Professor of Advertising at University of Illinois at Urbana-Champaign

Adobe Grant Recipient 2016

Brittany Duff

Research Interests: Dr. Duff’s research focuses on attention and emotion, particularly how these can work interact to influence perceptions of advertising. Recent research deals with the phenomenon of advertising avoidance and what consumers do with the ads that they do not fully attend to. Other research looks at media multitasking and how it affects ad perception and memory.

Chandan Reddy - Associate Professor, Department of Computer Science, Virginia Tech

Chandan Reddy

Research Interests: His primary research interests are Data Mining and Machine Learning with applications to Healthcare Analytics and Social Network Analysis.

Danai Koutra - Assistant Professor, Computer Science and Engineering, University of Michigan

Adobe Grant Recipient 2018

Danai Koutra

Research Interests: large-scale graph mining, mining scientific data, graph similarity, graph matching, graph summarization and visualization, graph anomaly and event detection, data mining, applied machine learning

Dimitris Achlioptas - Professor of Computer Science, UC Santa Cruz

Adobe Grant Recipient 2016

Dimitris Achlioptas

Research Interests: Algorithms, machine learning, random structures, applications of probability to computer science

Edward McFowland - Assistant Professor Information and Decision Sciences, University of Minnesota

Adobe Grant Recipient 2017

Edward McFowland

Research Interests: His research interests—which lie at the intersection of Information Systems, Machine Learning, and Public Policy—include the development of computationally efficient algorithms for large-scale statistical machine learning and “big data” analytics. More specifically, his research seeks to demonstrate that many real-world problems faced by organizations, and society more broadly, can be reduced to the tasks of anomalous pattern detection and discovery.

Georgia Perakis - William F. Pounds Professor Professor of Operations Research, Statistics and Operations Management, MIT

Adobe Grant Recipient 2017

Georgia Perakis

Research Interests: She investigates the theory and practice of optimization and equilibrium problems. She is particularly interested in how optimization models can be applied to solve complex problems in transportation, pricing, and revenue management.

Gordon Burtch - Associate Professor and McKnight Presidential Fellow, Information and Decision Sciences, University of Minnesota

Adobe Grant Recipient 2018

Gordon Burtch

Research Interests: His research, which focuses on the economic evaluation of information systems, employs empirical analyses rooted in econometrics and field experimentation to identify and quantify the drivers of individual participation in online social contexts.

Guang Cheng - Professor, Department of Statistics, Purdue University

Guang Cheng

Research interests: Big Data: distributed learning and online learning, Machine Learning: tensor data analysis and graphical model, Deep Learning: generative adversarial network, Reinforcement Learning: multi-armed bandit, High Dimensional Statistical Inferences, Semi-Nonparametric Statistics.

Hari Sundaram - Associate Professor in Computer Science and Advertising Departments at the University of Illinois at Urbana-Champaign

Hari Sundaram

Research Interests: His research, motivated by the challenge of "persuading millions of people to adopt behaviors (e.g. adopt healthy lifestyles) that would be beneficial to them,'' lies at the intersection of social network analysis and computational advertising. Analyzing the question of behavioral change at massive scale, requires us to develop new theoretical frameworks, design algorithms, build scalable systems and perform field experiments.

Ilias Diakonikolas, Assistant Professor, University of Southern California

Ilias Diankonikolas

Research Interests: His main research interests are in algorithms, learning, statistics, and applied probability. A major goal of his work is to understand the tradeoff between statistical efficiency, computational efficiency, and robustness for fundamental problems in machine learning. He also have strong interests in optimization, game theory, and their connections to learning.

Inderjit Dhillon - Director, Center for Big Data Analytics, University of Texas at Austin

Adobe Grant Recipient 2015

Interjit Dhillon

Research Interests: His main research interests are in machine learning, large-scale data analysis and bioinformatics. His emphasis is on developing novel algorithms that respect the underlying problem structure and are scalable to massive data sets. Some of my current research topics: high-dimensional data analysis, divide-and-conquer methods for big data analytics, social network analysis, and predicting gene-disease associations.

Jacob Chakareski - Assistant Professor, Electrical and Computer Engineering, University of Alabama

Adobe Grant Recipient 2017

Jacob Chakareski

Research Interests: His research interests span virtual and augmented reality (VR/AR) for immersive communication, UAV-IoT sensing/communication, future 5G IoT architecture and edge-based computing in small-cell networks, and rigorous reinforcement learning for stochastic control. I also investigate interdisciplinary applications of UAV-IoT-enabled networked VR/AR immersion.

Jiawei Han - Abel Bliss Professor, Department of Computer Science, University of Illinois at Urbana-Champaign

Jiawei Han

Research Interests: He has been working on research into data mining, data warehousing, database systems, data mining from spatiotemporal data, web data, and social/information network data.

John Owens - Professor of Electrical and Computer Engineering, University of California, Davis

Adobe Grant Recipient 2014

John Owens

Research Interests: Data structures and algorithms, parallel applications, scalability, parallel architecture, and programming environments/models/abstractions for the GPU.

Junming Yin - Assistant Professor in the Department of Management Information Systems, University of Arizona

Adobe Grant Recipient 2018

Junming Yin

Research Interests: Methodologies: statistical machine learning, probabilistic modeling and inference, nonparametric and high-dimensional. Applications: business intelligence, network analysis, digital marketing, operations management, healthcare and biology

Katharina Reinecke - Assistant Professor of Computer Science, University of Washington

Adobe Grant Recipient 2017

Katharina Reinecke

Research Interests: Her research is in human-computer interaction explores how humans' interaction with technology varies depending on their cultural, geographic, and demographic background.

Mohammad Rahman - Associate Professor of Management at the Krannert School of Management, Purdue University

Adobe Grant Recipient 2017

Mohammad Rahman

Research Interests: His research seeks to understand and provide insights related to three related issues: measuring and quantifying the impact of digital transformations led by the Internet and related technologies; in particular, the Internet’s impact on various industries and markets and how the local market structure plays a role in this transformation, the economic value of digital traces (or digital footprints), especially in driving consumer behavior and improving decision-making and the impact of Information Technology (IT) on a firm’s business and operational practices.

Philip Thomas - Assistant Professor, College of Information and Computer Sciences, University of Massachusetts, Amherst

Adobe Grant Recipient 2018

Philip Thomas

Research Interests: Professor Thomas's research interests are in reinforcement learning, decision making, and AI safety. He is most interested in designing reinforcement learning algorithms that are more biologically plausible than existing algorithms, or which provide various forms of safety guarantees that make them viable for high-risk applications (e.g., medical applications).

Raghavan Sullivan - Professor of Management Science and Operations Management, University of Maryland

Raghavan Sullivan

Research Interests: His research interests and activities cover a broad domain including--- auction design, data mining, economics, information systems, computational marketing, networks, optimization, and telecommunications.

Rahul Basole - Associate Professor and Associate Director, Tennebaum Institute/IPaT, Georgia Tech

Rahul Basole

Research Interests: His research and teaching focuses on computational enterprise science, data visualization, and strategic decision support. Current research includes the design, development, and application of novel visual analytic tools for understanding complex business ecosystems and enterprises.

Rakesh Verma - Professor of Computer Science, University of Houston

Rakesh Verma

Research Interests: Artificial Intelligence, Logic in Computer Science, Programming Languages: Formal methods including rewriting techniques and symbolic computation with applications to automated reasoning and verification, functional & equational programming, and computer algebra; design and analysis of algorithms/heuristics for and complexity of problems in automated deduction and rewriting ; fast and efficient implementations of rewriting methods for verification and equational programming.

Ramakrishna ("Ram") Akella - Professor and Director of the Center for Large-Scale Live Analytics and Smart Services, University of California at Silicon Valley/ Santa Cruz

Ram Akella

Research Interests: At Stanford, his current research concerns Machine Learning, Data and Text Mining, Interactive Search, Analytics, and Smart Services in Healthcare, Computational Marketing, Financial and Business Services; previously, he has worked on problems in High Tech, IT, Outsourcing and BPO, Semiconductors, Cost Competitiveness, Product Life Cycle Management, Business Process Optimization and E-Business, as well as quality, fab economic models, cost of ownership and financial justification for IT Management and equipment, production planning and control.

Sameer Singh - Assistant Professor of Computer Science, University of California, Irvine

Adobe Grant Recipient 2017

Sameer Singh

Research Interests: He is working on large-scale and interpretable machine learning applied to information extraction and natural language processing.

Samir Khuller - Professor, Distinguished Scholar Teacher, University of Maryland

Samir Khuller

Research Interests: His research interests are in graph algorithms, discrete optimization, and computational geometry.

Sang-Pil Han – Assistant Professor W.P. Carey Information Systems, Arizona State University

Sang-Pil Han

Research Interests: His research analyzes the economic consequences of the mobile technologies on markets. He is an expert in quantifying the economic value from content in spaces mediated by social media; modeling consumer behavior in mobile media based social networks; and measuring the welfare impact of the mobile Internet

Soumya Sen – Assistant Professor, Information and Decision Sciences, University of Minnesota

2018 Proposal Winner

Soumya Sen

Research Interests: Soumya’s research takes a multi-disciplinary approach involving computer networks, economics, and human-computer interaction. His research interests are in Internet economics, communication systems, and social networks.

Sungho Park – Associate Professor, W.P. Carey Marketing, Arizona State University

Sungho Park

Research Interests: Professor Park is interested in studying consumers’ shopping behaviors in various retail settings. His research also includes developing new statistical models which measure the effectiveness of marketing actions and account for consumers’ decision making behaviors. Currently, he is studying consumers’ mobile applications and digital goods usage behaviors.

Tamilla Triantoro -Assistant Professor of Computer Information Systems, Quinnipac University

Tamilla Triantoro

Thang Le Dinh – Associate Professor of Information Systems, University of Quebec, Canada

Thang Le Dinh

Research Interests: His major teaching interests are Information System (IS) analysis and design, Database Management systems, Programmation, Enterprise systems, Project management and E-business.

Tianshu Sun – Assistant Professor of Data Sciences and Operations, University of Southern California

2017 Proposal Winner

Tianshu Sun

Research Interests: Tianshu Sun's research conducted in collaboration with leading private and public sector platforms addresses how firms can use business analytics and field experiments in conjunction with big data to improve business decisions. His current research focuses on understanding 1) how digital platforms can use IT-enabled and analytics-driven interventions to influence information sharing among individuals, and 2) how organizations can leverage mobile devices and Internet of Things to influence individuals' offline behaviors

Vagelis Papalexakis – Assistant Professor at the Computer Science and Engineering Department at the University of California, Riverside

2017 Proposal Winner

Vagelis Papalexakis

Research Interests: My research bridges signal processing and data science through designing and developing scalable and interpretable algorithms for mining big multi-aspect data, and applying those algorithms into real-world problems, achieving superior performance, and obtaining valuable insights that can drive scientific discovery.

Venu Govindaraju – Vice President for Research and Economic Development SUNY Distinguished Professor, University at Buffalo

Venu Govindaraju

Research Interests: Dr. Venu Govindaraju, SUNY Distinguished Professor of Computer Science and Engineering, is the founding director of the Center for Unified Biometrics and Sensors. He received his Bachelor’s degree with honors from the Indian Institute of Technology (IIT) in 1986, and his Ph.D. from UB in 1992. His research focus is on machine learning and pattern recognition in the domains of Document Image Analysis and Biometrics.

Vineet Goyal – Associate Professor, Industrial Engineering and Operations Research, Columbia University

2016 Proposal Winner

Vineet Goyal

Research Interests: My research interests include dynamic optimization and decision making under uncertainty. I am interested in the design of tractable approaches for dynamic optimization problems under uncertainty and their applications in electricity markets and revenue management problems.

Wai-Tat Fu – Associate Professor, Department of Computer Science University of Illinois at Urbana – Champaign

2016 Proposal Winner

Wai-Tat Fu

Research Interests: My research lies at the intersection of cognitive science and human-computer Interaction (HCI). I am interested in applying theories from cognitive science, HCI, social computing, and spatial cognition to areas such as education and healthcare. My interests in HCI stems from the desire to better understand how users interact with artefacts to accomplish different tasks in different environments. I am interested in how features of intelligent interfaces guide human interaction and impact performance at both the individual and social levels. I am particularly interested in education and healthcare

William Wang - Director of UC Santa Barbara's Natural Language Processing Group and an Assistant Professor in the Department of Computer Science at the University of California, Santa Barbara.

2018 Proposal Winner

William Wang

Research Interests: He has broad interests in machine learning approaches to data science, including statistical relational learning, information extraction, computational social science, speech, and vision

Wreeto Kar - Assistant Professor in Marketing, Purdue University

2017 Proposal Winner

Wreeto Kar

Research Interests: Digital Advertising, Big Data, Product Trial in Software Industry, Visitor Identification in Online Media, Scalable Algorithms

Xiaojing Dong – Associate Professor, Marketing and Business Analytics, Santa Clara University

Xiaojing Dong

Research Interests: Dr. Dong's current academic research studies individual customer's (consumer or business) responses to firm's marketing efforts, and how firms' marketing strategies can be adjusted when taking this information into consideration. Her research has covered a wide selection of industries, including pharmaceutical, high-tech and retailing.

Zhi Wei – Associate Professor, Department of Computer Science, New Jersey Institute of Technology

2018 Proposal Winner

Zhi Wei

Research Interests: His research interests include statistical modelling, machine learning and data mining with applications to various fields including Bioinformatics, genetics, web analytics, media analytics, advertising et al.

Yan Liu – Associate Professor Philip and Cayley MacDonald Endowed Early Career Chair Director, USC Machine Learning Centerr

2017 Proposal Winner

Yan Liu

Research Interests: Her research interests include machine learning and data mining with applications to biology, climate science, health, and social media.

Check out last year's Data Symposium.


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