Annual MIDAS Faculty Research Pitch

Monday, September 16, 2024
1 – 4 PM

Assembly Hall (4th floor), Rackham Graduate School, 915 East Washington Street

Registration

Overview

Schedule

Speakers

Past Speakers

FAQ

Contact Us

Overview

The Michigan Institute for Data and AI in Society (MIDAS) invites all U-M researchers to kick off the new academic year with us at our annual Welcome-back Social and Faculty Research Pitch, with opportunities to talk with MIDAS affiliate faculty members and others in the U-M data science and AI research community, hear research collaboration opportunities, find out upcoming research and training activities at MIDAS, and discuss how MIDAS can work with you! 

All U-M researchers are welcome to attend and present pitches, but preference is given to those faculty members who are new to U-M, or new to MIDAS. To give a research pitch, presenters need to be a MIDAS affiliated faculty member (for those who would like to join, fill out the application form).

Schedule

The fifth annual Welcome-back Social and Faculty Research Pitch will be held on Monday, September 16, from 1:00-4:00 PM in Assembly Hall (4th floor, Rackham Graduate School, 915 East Washington Street).

Anyone who plans to attend the event (as an audience member or a speaker) should please register.

Faculty Research Pitch: Group 1

  • Shai Revzen
  • David Kwabi
  • Angela Violi
  • Niccolo Meneghetti
  • Peter Adriens
  • Dani Jones
  • Brian Perron
  • Elyse Thulin
  • Jiayu Zhou

An Introduction to MIDAS

Faculty Research Pitch: Group 2

  • Fan Bu
  • Bingkai Wang
  • Qiong Yang
  • Bing Ye
  • Kamran Diba
  • Tomer Stern
  • Terra Sztain

MIDAS Team Pitch

Networking Time

Faculty Research Pitch: Group 3

  • Srijita Das
  • Raed Al Kontar
  • Carol Menassa
  • Saif Benjaafar
  • Cyrus Omar
  • Elle O’Brien
  • Alexander Rodríguez

Networking Time

Voting for “Best Faculty Pitch”

Awards

2024 Speakers

List of 2024 Speakers

Speaker

Research Area

Peter Adriaens
Professor, Civil and Environmental Engineering – Center for Digital Asset Finance

Data science tools for finance research(slides)

Raed Al Kontar
Associate Professor, Industrial & Operations Engineering

Data analytics and decision-making methodologies for connected products/systems(slides)

Saif Benjaafar
Professor, Industrial and Operations Engineering & Tauber Institute for Global Operations

Sustainable operations and innovative business models

Fan Bu
Assistant Professor, Department of Biostatistics

Bayesian and computational statistics for analyzing large-scale and complex data(slides)

Srijita Das
Assistant Professor, Computer and Information Science (CIS)

Building sample-efficient machine learning models(slides)

Kamran Diba
Associate Professor, Department of Anesthesiology

Computational neuroscience of memory and the role of sleep(slides)

Dani Jones
Associate Research Scientist, Cooperative Institute for Great Lakes Research (CIGLR)

Data science and AI applications in physical limnology, weather forecasting, water cycle predictions, ecology, and observing system design(slides)

David Kwabi
Assistant Professor, Mechanical Engineering

Developing electrochemical devices for grid energy storage(slides)

Carol Menassa
Professor, Civil and Environmental Engineering

Interconnections between human experience and the built environment(slides)

Niccolo Meneghetti
Assistant Professor, UofM-Dearborn/CIS

Probabilistic databases, statistical relational learning and uncertain data management(slides)

Elle O’Brien
Lecturer IV & Research Investigator, School of Information

Scientific software development and generative AI code tools(slides)

Cyrus Omar
Assistant Professor, Computer Science and Engineering

Designing modern user interfaces for modern programming languages(slides)

Brian Perron
Professor, School of Social Work

Services research for mental and substance use disorders(slides)

Shai Revzen
Associate Professor, EECS & EEB

Biologically inspired robotics(slides)

Suraj Rampure
Lecturer III, Computer Science and Engineering

Equipping all students with modern data science skills(slides)

Alexander Rodríguez
Assistant Professor, Computer Science and Engineering

Developing trustworthy AI systems for applications in environmental and community resilience and public health(slides)

Tomer Stern
Assistant Professor, School of Dentistry

Understanding morphogenesis using computational image analysis(slides)

Terra Sztain
Assistant Professor, College of Pharmacy

Computational models for allosteric inhibitor design and protein engineering(slides)

Elyse Thulin
Assistant Research Professor, School of Public Health

Assistant Research Professor, Institute for Firearm Injury Prevention, SPH Health Behavior Health Equity, Institute for Social Research(slides)

Angela Violi
Professor, College of Engineering

Molecular simulations and machine learning for nanoscience(slides)

Bingkai Wang
Assistant Professor, Biostatistics, School of Public Health

Causal inference for randomized clinical trials(slides)

Qiong Yang
Associate Professor, LSA/Biophysics

Biophysics for understanding complex stochastic cellular and developmental processes in embryos(slides)

Bing Ye
Professor, Life Sciences Institute

Imaging and computational methods for analyzing neural activities(slides)

Jiayu Zhou
Associate Professor, School of Information

Machine learning and AI for health informatics(slides)

Past Years

List of 2023 Speakers

Speaker

Research Area

Elizabeth Bondi-Kelly
Assistant Professor, Computer Science and Engineering

AI for social impact (Recording)

Yan Chen 
Professor, Information

Causal inference, data science for social good, experiment design (Recording)

Hui Deng
Professor, Physics

Deep learning for nanophotonics applications (Recording)

Anne Draelos
Assistant Professor, Biomedical Engineering, Computational Medicine and Bioinformatics

Real-time machine learning for adaptive neuroscience applications (Recording)

Wei Hu
Assistant Professor, Computer Science and Engineering

Deep Learning, Representation Learning, machine learning, optimization, theory (Recording)

Hui Jiang
Professor, Biostatistics

Bioinformatics, computational statistics, machine learning, optimization, statistical genomics (Recording)

Sean Johnson
Assistant Professor, Astronomy

Galaxy evolution, quasars, the circumgalactic medium, the intergalactic medium (Recording)

Minji Kim
Assistant Professor, Computational Medicine and Bioinformatics

Computational 3D genomics (Recording)

P.C. Ku
Professor, Electrical and Computer Engineering

Optoelectronic devices (Recording)

Max Z. Li
Assistant Professor, Aerospace Engineering, Industrial and Operations Engineering

Design, management, and optimization of air transportation systems (Recording)

Cam McLeman
Associate Professor, Mathematics and Applied Sciences

Graph-Based Methods, Machine Learning, Mathematical and Statistical Modeling, Networks, Statistics (Recording)

Liang Qi
Associate Professor, Materials Science and Engineering

Atomistic simulations, computational materials science, machine learning (Recording)

Majdi Radaideh
Assistant Professor, Nuclear Engineering and Radiological Sciences

Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization (Recording)

Shai Revzen
Associate Professor, Electrical and Computer Engineering

Biologically Inspired Robotics and Dynamical Systems (Recording)

Stacy Rosenbaum
Assistant Professor, Anthropology

Evolutionary causes and consequences of social behavior (Recording)

Nishil Talati
Assistant Research Scientist, Computer Science and Engineering

Hardware-software co-design for efficient and secure data analytics (Recording)

Runzi Wang
Assistant Professor, Environment and Sustainability

Built environment, landscape architecture, machine learning, stormwater management, stream water quality, urban hydrology (Recording)

Stella Yu
Professor, Computer Science and Engineering

Representation learning with minimal supervision (Recording)

Liang Zhao
Associated research scientist, Climate and Space Science and Engineering.

Solar wind plasma, heliophysics (Recording)

List of 2023 Speakers

Speaker

Research Area

Omar Ahmed
Assistant Professor, Psychology, LSA

Recording and analysis of massive volumes of neural data to understand, predict and treat neuropsychiatric disorders (Recording)

Raed Al Kontar
Assistant Professor, Industrial & Operations Engineering, College of Engineering

Federated and distributed data analytics (Recording)

Karen Alofs
Assistant Professor, School for Environment and Sustainability

Fish ecology and environmental change using historical data, museum specimens, field surveys, lab experiments and models (Recording)

Dallas Card
Assistant Professor, School of Information

Natural language processing for historical understanding (Recording)

Walter Dempsey
Assistant Professor, Biostatistics, School of Public Health

Data analytic methods in mobile and digital health (Recording)

Ben Fish
Assistant Professor, Computer Science and Engineering, College of Engineering

Foundations of the social consequences of computing, particularly discrimination in machine learning (Recording)

Edgar Franco Vivianco
Assistant Professor, Political Science, LSA

Handwritten text recognition models to analyze a corpus of interactions of Latin American colonial documents with the objective to analyze interactions of indigenous communities with the colonial state, the strategies they employed to resist exploitation, and their engagement with the legal system (Recording)

Ben Green
Assistant Professor, Ford School of Public Policy

Design and ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation (Recording)

Amie Gordon
Assistant Professor, Psychology, LSA

Health and well-being in the context of close relationships utilizing experimental, observational, survey, dyadic, daily experience, longitudinal, and physiological methods (Recording)

Xun Huan
Assistant Professor, Mechanical Engineering, College of Engineering

Methods and algorithms of Bayesian computation and their applications in the areas of engineering and healthcare (Recording)

Rahul Ladhania
Assistant Professor, School of Public Health

Machine Learning for causal inference in behavior science and public health (Recording)

Brian Lin
Assistant Research Scientist, University of Michigan Transportation Research Institute (UMTRI), College of Engineering

Using data-driven methods to explore driver and vulnerable road user’s behavior and interaction with automated vehicles (Recording)

Anthony Million
Research Investigator, Inter-university Consortium for Political and Social Research (ICPSR), Institute for Social Research

Investigating if pre-registration systems need discipline-specific design features and what these features might be (Recording)

Matthew VanEseltine
Assistant Research Scientist, Survey Research Center, Institute for Social Research

The science of science, team science, early careers in scientific research, gender and science, and open science with restricted data (Recording)

Joshua Welch
Assistant Professor, Computational Medicine and Bioinformatics, Medicine

Machine learning for single-cell genomics (Recording)

List of 2023 Speakers

Speaker

Research Area

Paramveer Dhillon
Assistant Professor, School of Information

Recommendations for social good (Recording)

Robin Fowler
Lecturer, Engineering Education Research and Technical Communication

Using AI to help facilitate equitable and inclusive teamwork environments (Recording)

Ayumi Fujisaki-Manome
Assistant Research Scientist, School for Environment and Sustainability

Supprting decision-making for a vital waterway in the Great Lakes by machine learning model-based lake ice for testing (Recording)

Robert Manduca
Assistant Professor, Sociology

Modeling urban economies and studying consumption patterns (Recording)

Murali Mani
Professor, Computer Science, University of Michigan – Flint

Ethical recommendations (Recording)

Nathan Martin
Associate Professor, Music Theory, School of Music, Theatre & Dance

Computational and empirical approaches to music theory (Recording)

Elle O’Brien
Research Investigator, School of Information

Machine learning and managing complexity (Recording)

Yulia Sevryugina
Senior Associate Librarian, Library Research – Science and Engineering, University Library

Trends in scholarly publishing (Recording)

Anthony Vanky
Assistant Professor, Urban and Regional Planning

Can big data from digitally enabled online platforms reveal patterns of gentrification and demographic change? (Recording)

Xu Wang
Assistant Professor, Computer Science and Engineering

Human-computer interaction, learning sciences, AI-augmented learning experience design, human-AI collaboration, medical education (Recording)

List of 2023 Speakers

Speaker

Research Area

Peter Adriaens
Professor of Civil and Environmental Engineering, College of Engineering and Professor of Environment and Sustainability, School for Environment and Sustainability

Digital finance and blockchain tokenization (Recording)

Syagnik Banerjee
Professor, Department of Management and Marketing, School of Management, University of Michigan Flint

Measuring social media manipulation (Recording)

Albert Berahas
Assistant Professor, Industrial and Operations Engineering

Fast, adaptive, scalable and robust algorithms for large scale nonlinear optimization (Recording)

Lei Chen
Assistant Professor, Mechanical Engineering at UM-Dearborn

Physics-informed data-driven model for uncertainty quantification and reduction in metal additive manufacturing (Recording)

Kevyn Collins-Thompson
Associate Professor, School of Information

AI and education (Recording)

Ivo Dinov
Professor, Nursing/Medicine

Mathmatical modeling, statistical computing, data analysis, and health analytics applications (Recording)

Salar Fattahi
Assistant Professor, Industrial and Operations Engineering

Galaxy evolution, quasars, the circumgalactic medium, the intergalactic medium (Recording)

Fred Feng
Assistant Professor, Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn

Behavioral data analytics, human performance modeling, and human-machine interaction (Recording)

Jaerock Kwon
Assistant Professor, Electrical and Computer Engineering at University of Michigan-Dearborn

Bio-inspired intelligent systems (Recording)

Robert Manduca
Assistant Professor, Sociology, LSA

Modeling urban economies, optimizing the air travel network, and consumption (Recording)

Murali Mani
Professor, Computer Science, University of Michigan, Flint

Secure Query processing in the cloud using fully honomorphic encryption (FHE) (Recording)

Mark Van Oyen
Professor, IOE, College of Engineering

Machine learning optimization for COVID-19 hospital operations (Recording)

Atul Prakash
Professor, Computer Science and Engineering

Robust machine learning (Recording)

Greg Rybarczyk
Associate Professor, Geography, Planning and Environment, University of Michigan-Flint

Examining travel behaviors and “third spaces” within urban environments (Recording)

Perry Samson
Professor, Climate and Space Sciences and Engineering, Engineering

Contextual linkaging for undergraduate education (Recording)

Yulia Sevryugina
Senior Associate Librarian, Library Research – Science and Engineering, University Library

Trends in scholarly publishing (Recording)

FAQ

Any U-M researchers interested in learning more about, becoming involved in, or meeting new people in the U-M data science and AI research ecosystem, but especially MIDAS affiliate faculty members, new U-M faculty members and those new to MIDAS, students or postdocs seeking faculty mentors and projects.

  • Each presenter will give a 3-minute research pitch, with up to three slides.
  • Audience members will vote for the “Best Research Pitch”.
  • Ample networking time.

You can present anything you’d like people to know about your research. It could be an overview of your research, or a specific project that needs collaboration or students, or a crazy idea that you want feedback about. But please consider the following:

  • How do you tell a compelling and clear story?
  • What do you want the audience to learn from your pitch?
  • How does your story help you achieve your goal of giving a pitch?

Audience members will select the “Best Research Pitch” awards.

Following the event, we will publish all research pitch videos to the MIDAS YouTube channel and website.

Questions? Contact Us.

We are excited to showcase your research and to help you make connections in our community and across other institutions.

If you have any questions, please contact Beth Uberseder (MIDAS Research Manager) at ubersbe@umich.edu.