Institute for Data Science Newsletter Fall 2020

FALL 2020 | VOL 1 ISSUE 1 https://datascience.njit.edu

PHD DISSERTATION ANNOUNCEMENTS

Mingda Li Date: 8/20/2020 "Analyzing and Assisting Patient Decision -Making in Online Health Community" Dissertation Advisor: Dr. Yi Chen (faculty collaborator Center for Big Data) Center for Big Data Director Dr. Dantong Yu and Faculty Center Collaborators Dr. Senjuti Basu Roy, Dr. Vincent Oria, and Dr. Dimitri Theodoratos were dissertation committee members Yuan Lu Date: 8/10/2020 "Crowdsourcing ATOP Blockchains"

GRANT AWARDS It is our pleasure to announce the recent awards by our Data Science Faculty at NJIT PI: Dr. Senjuti Basu Roy From the Department of Computer Science and Center for Big Data Faculty Collaborator at NJIT has received an NSF Award.

Project title: "Collaborative Research: An Optimization Framework for Designing Derived Attributes with Humans-inthe-loop" PI: Dr. Guiliang Wang From the Department of Computer Science and Center for Big Data Faculty Collaborator has received a FHWA-Federal Highway Administration Award.

Project title: "Decentralized Vehicle Credential Management

Dr. Guiling Wang dissertation advisor is a faculty collaborator in the Center for Big Data and Dr. Qing Tang dissertation Coadvisor is a faculty collaborator in Cybersecurity Research Center continued page 05

System Based on Consortium Blockchain" PI: Dr. Zhi Wei From the Department of Computer Science and Center for Big Data Faculty Collaborator has received an NIH Award.

Project title: "Targeted Therapies in Melanoma"

Congratulations to all the awardees!

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CENTER ANNOUNCEMENTS "Using machine learning to optimize big data workflows for collaborative computational steering" The Northeast Big Data Innovation Hub recently showcased Dr. Chase Wu Co-Director of the Center for Big Data and the Center's work on computational steering to read this article please click here.

NJIT DATA SCIENCE STUDENTS UBS Pitch Challenge - NJIT Team in the Finals!

We are pleased to announce three NJIT Data Science Students made it to the final round of the UBS Pitch Challenge. 25 Teams from New Jersey Big Data Alliance (NJBDA) universities submitted proposals. NJIT's team "Highlander Trio" was one of the seven teams selected to go to the finals to compete for the grand prize of $10,000.

Congratulations to Shrey Sharma, Ankita Talwar, and Likhitha Musku!

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DATA SCIENCE SEMINAR SERIES New Jersey Institute of Technology's Institute for Data Science invites you to our 2020-2021 seminar series, held Wednesdays at 4PM Eastern Time.

The series includes data science thought leaders from academia and industry. https://datascience.njit.edu/events

Follow us on Eventbrite: https://njit-institute-for-data-science.eventbrite.com/ Subscribe to our YouTube channel: http://www.youtube.com/c/NJITInstituteforDataScience September 2 - Senjuti Basu Roy, NJIT September 9 - Yifan Hu, Yahoo Research Labs September 16 - Adam McLaughlin, D.E. Shaw Research September 23 - Michael Mahoney, University of California Berkeley September 30 - Srinivas Aluru, Georgia Institute of Technology October 7 - Francine Berman, Rensselaer Polytechnic Institute October 14 - Viktor Prasanna, University of Southern California October 21 - Jon Kleinberg, Cornell University October 28 - Manish Parashar, NSF & Rutgers, The State University of New Jersey November 4 - Rick Stevens, Argonne National Laboratory November 11 - Leman Akoglu, Carnegie Mellon University November 18 - Narayan Srinivasa, Intel Labs December 2 - Helen Berman, Rutgers, The State University of New Jersey

December 9 - Chandra Bajaj, The University of Texas at Austin January 27, 2021 - Steven Skiena, Stony Brook University, SUNY February 3 - Tanya Berger-Wolf, Ohio State University February 10 - Jeannette Wing, Columbia University February 17 - Prashant Reddy, JPMorgan Chase & Co February 24 - Deja Bond, NYU CDS alum March 3 - Vipin Kumar, University of Minnesota March 10 - Cynthia Rudin, Duke University March 24 - Michael Merrill, Department of Defense March 31 - Danai Koutra, University of Michigan April 14 - Aydin Buluc, Lawrence Berkeley National Lab, University of California, Berkeley April 21 - Tina Eliassi-Rad, Northeastern University

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SPEAKING ENGAGEMENTS

by Institute Director Dr. David Bader The White House's Office of Science and Technology Policy (OSTP) invited distinguished professor David Bader, director of the Institute for Data Science, to a virtual meeting on Pioneering the Future Advanced Computing Ecosystem, held August 17-18, 2020, The meeting was organized by the National Science and Technology Council (NSTC) Subcommittee on the Future Advanced Computing Ecosystem (FACE).

On August 25, 2020, distinguished professor David Bader gave an invited talk on Solving Global Grand Challenges with High Performance Data Analytics to the U.S. Army Engineer Research and Development Center (ERDC)'s Virtual Data Science Workshop, held August 25-26, 2020. "The mission of the U.S. Army Corps of Engineers is to deliver vital public and military engineering services; partnering in peace and war to strengthen our nation’s security, energize the economy and reduce risks from disasters."

On August 24, 2020, distinguished professor David Bader gave a tutorial at KDD 2020 on Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS, along with co-presenters Bartley Richardson (NVIDIA), Brad Rees (NVIDIA), Tom Drabas (Microsoft), Even Oldridge (NVIDIA), and Rachel Allen (NVIDIA). "The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs."

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PHD ANNOUNCEMENTS CONTINUED Mohammadreza Esfandiari Date: 7/31/2020 "Changing the Focus: Worker-Centric Optimization in Human-In-The-Loop Computations" Dissertation advisor: Dr. Senjuti Basu Roy (faculty collaborator Center for Big Data)Committee Members: Dr. Vincent Oria (faculty collaborator Center for Big Data), Dr. Yi Chen (faculty collaborator Center for Big Data) Guyana Ranjan Sahu Date: 7/15/2020 "Towards Practical Homomorphic Encryption and efficient Implementation" Dissertation Advisor: Dr. Kurt Rohloff (Director Cybersecurity Research Center)Committee Members: Dr. Qiang Tang (faculty collaborator Cybersecurity Research Center), Dr. Yuriy Polyakov (faculty collaborator in Cybersecurity Research Center) and Dr. Abdallah Khreishah (faculty collaborator in Cybersecurity Research Center) Ye Xiong Date: 7/16/2020 " An Automated Feedback System to Support Student Learning of Conceptual Knowledge in Writing-To-Learn Activities" Dissertation advisor: Dr. Yi-Fang Brook Wu (faculty collaborator Center for Big Data) Hao Liu Date: 6/5/2020 "Machine Learning for Scientific Data Mining and Solar Eruption Prediction" Dissertation advisor: Dr. Jason Wang (faculty collaborator Center for Big Data)

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