Student Research Forum

As a team of students from MIT’s Operations Research, Electrical Engineering & Computer Science, and Leader for Global Operations program, we created the MIMO Student Research Forum to share and discuss how machine intelligence can be applied to solve problems in manufacturing and operations. The forum is a weekly discussion group organized into topic groups, such as fault detection, robustness, machine vision, and predictive maintenance. Each topic will involve discussions with both industry speakers and MIT student and faculty researchers sharing current methodological and application-oriented work. 

These sessions are designed to be more interactive than the typical seminar series, and a substantial portion of the time will be dedicated toward interactive discussion where participants share questions and suggestions. All students interested in machine intelligence methods for application to manufacturing and operations and willing to participate in discussion are welcome to join. While we have a tentative schedule for the spring semester below, we always encourage participants to volunteer to present their own work, particularly work that is in process, and suggest topics of interest for future discussion! 

If you have feedback, questions, or would like to suggest a topic, please feel free to reach out to mimo-forum@mit.edu!

Seminar times: 12:00 – 1:00 PM Thursdays

Location: E62-446

To be kept up to date with the MIMO Student Research Form’s events, join the Research Forum’s mailing list:

Events


Optimization Modeling and Practice for Hardware Planning and Operations in Meta Infrastructure

Hongbo Dong – Research Data Scientist, Meta

May 5, 2022

From Deep to Edge Learning

Reto Wyss – Head of AI, Cognex

April 28, 2022

Applications of Machine Learning in Cybersecurity

Kevin Hu, El Ghali Zerhouni – PhDs, ORC

April 14, 2022

Unsupervised Text Categorization using Manufacturing Documentation

Josh Wilde, Evan Yao – PhDs, ORC

April 7, 2022

Automation of NC Programming with Artificial Intelligence

Michael Lunny – LGO, AeroAstro

March 31, 2022

Knowledge Discovery in Maintenance Records using Natural Language Processing

Dr. Nobal Niraula — Associate Technical Fellow, Boeing

March 3, 2022

A ConvNet for the 2020s: the debate heats up between ConvNets and Transformers for vision!

Fan-Keng Sun – PhD EECS

February 17, 2022

Domain adaptation and hybrid algorithms for fault diagnostics and prognostics

Dr. Olga Fink – Professor, ETH Zürich

February 3, 2022

Applications of machine learning to monitoring of manufacturing systems

Ori Negri – Head of Algorithms, Augury

November 18, 2021

Two-stage defective part prediction with noisy labels

Josh Wilde – PhD, ORC

November 4, 2021

Machine Learning for Smart Manufacturing: Automated Visual Inspection and Unsupervised Anomaly Detection

Fan-Keng Sun – PhD, EECS

October 28, 2021

(Varian) Intelligent Optimization of Dosing Uniformity in Ion Implantation Systems

Chris Lang – PhD, EECS

October 21, 2021

Pricing Fast and Slow: Limitations of Dynamic Pricing in Ridehailing

Daniel Freund – Assistant Professor, Operations Management

October 14, 2021

Contextualized Clustering: Using Neural Language Modeling to Trend Deviations on Semantic Similarity

Sebastian Hanet – Senior Data Scientist, Amgen

October 7, 2021

Neural Closure Models for Dynamical Systems

Abhinav Gupta – PhD, Mechanical Engineering

September 30, 2021

Machine Learning-based Identification, Prediction, and Control of Lithium-ion Batteries

Richard Braatz – Professor, Chemical Engineering

September 23, 2021

Do Vision Transformers See Like Convolutional Neural Networks?

Fan-Keng Sun – PhD, EECS

September 16, 2021

A Practical End-to-End Inventory Management Model with Deep Learning

Meng Qi – PhD, Industrial Engineering and Operations Research, UC Berkeley

May 6, 2021 5:30 PM

Applying Data Science to the Manufacturing & Operations Ecosystem

Krista Novstrup – Principal Analytics Engineer, SEEQ

April 29, 2021 5:30 PM

Control Systems & Data Collection: What You’ll See in Practice

Christian Allinson – LGO, EECS

April 22, 2021 5:30 PM

Algorithm development and technical challenges in real-world predictive maintenance systems

Ori Negri – Head of Algorithms, Augury

April 15, 2021 5:30 PM

Intelligent Maintenance

Retsef Levi – Professor of Operations Management, Sloan

April 8, 2021 5:30 PM

Predictive Maintenance Experience in Practice

Christian Allinson, Erez Kaminski – LGO, EECS

April 1, 2021 5:30 PM

Digital twins and virtual sensing for oil and gas applications

Henry Ren – Retired Modeling Team Lead, Chevron

March 25, 2021 5:30 PM

Virtual metrology and system frameworks for semiconductor fabrication

Chris Lang – PhD EECS

March 18, 2021 5:30 PM

Inference of variations in photonic device fabrication

Sally El-Henawy & Zhengxing Zhang – PhD EECS

March 11, 2021 5:30 PM

Building a Control System Pipeline for Biopharmaceutical Viral Inactivation

Moo Sun Hong – PhD, Chemical Engineering

March 4, 2021 5:30 PM