Laboratory for Intelligent Systems and Analytics

Advancing research in AI, machine learning, and complex systems for manufacturing and healthcare applications

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Soundar Kumara

Dr.Kumara Headshot

Soundar Kumara is the Allen, E., and Allen, M., Pearce Professor of Industrial and Manufacturing Engineering at Penn State. Has an affiliate appointment with the school of Information Sciences and Technology. He is also serving currently as the Interim Director of the Center for the Applications of AI & ML to Industry (AIMI) under ICDS. His research interests are in Sensor based Manufacturing Process Monitoring, Data Science, Graph Analytics and Large-Scale Complex Networks, and AI and ML with applications in Manufacturing and Healthcare,

He obtained his Bachelor of Mechanical Engineering Degree from SVUCE Tirupati, M.Tech., from IIT Madras and Ph.D., in Industrial Engineering from Purdue University, USA. He held visiting appointments with Univ. of Tokyo, Korea Institute of Science and Technology, City Univ. of Hong Kong, Tsinghua University, China and MIT, USA.

Kumara has worked on projects funded by NSF, DARPA, ARO, and Several Industries totaling about $ 45 Million over his career as a PI or Co-PI. He has also conducted applied modeling and implementations through research projects including for companies such as GM, GE, Ford-New Holland, CNH and DaiNippon Screen (Kyoto). In recent times his work with Geisinger Health Systems has resulted in implementations which help intervention on high-risk patients after surgical discharge.

64 Ph.D., and 76 MS students graduated under his guidance. He has pioneered nonlinear real-time sensor data analysis techniques for manufacturing process monitoring and diagnosis and large-scale sensor networks. In the past five years he has been working with healthcare data analytics. He is among the first people to work in AI in manufacturing from the IE discipline. He teaches Undergrad and Grad level courses in AI and Data Analytics in Manufacturing.

Professor Kumara has about 300 publications to his credit. Many of his papers have won best paper awards; and many of his students have won best thesis awards from the Institute of Industrial Engineers; He has about 13400 google citations (h-index: 46) and his Erdos number is 3. One of his papers co-authored with Drs. Reka Albert and Nandini Raghavan in Physical Reviews-E is designated as a milestone paper for 2007 (25 papers were selected, one for each year published in PRE from 1993 till 2018 from among 50,000 publications). This work, resulted in the LPA based Clustering in Large Networks which is a part of many software packages (R, python, i-Graph, and Java).

He is a Fellow of Institute of Industrial and Systems Engineering (IISE), International Academy of Production Engineering (CIRP), American Association for Advancement of Science (AAAS), and American Association of Mechanical Engineers (ASME). Dr. Kumara is the recipient of several awards including the David F. Baker Distinguished Research Award from the Institute of Industrial and Systems Engineering (IISE), Research Excellence Award from ASME Computers & Information Engineering (CIE) division, Premier Research Award from CoE, Graduate Faculty Teaching Award, and the Faculty Scholar Medal from Penn State, the highest research honor from Penn State. He is designated as one of the twenty most influential academics in Smart Manufacturing by the Society of Manufacturing Engineering (SME) in June 2021; one of the nominators states that, ‘due to his early work Dr. Kumara can be called the father of smart manufacturing’. In 2022 Purdue School of Industrial Engineering designated him as “Outstanding Industrial Engineer,” an honor 155 of the 10,000 living Purdue IE alum have received, and less than 20 are from academia.

He serves as a department editor for Smart and Cyber Manufacturing Systems for IISE Transactions Focused Issue on Manufacturing, and as an associate editor for ASTM Journal of Smart and Sustainable Manufacturing Systems. He is on the editorial board of several other journals. He is on the governing board of IISE BoK. He is involved with 4 start-up companies.

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January 27, 2025

New Neural Network Slashes Sensor-Data Overload

Researchers say factories on Mars could benefit from the efficient approach.

Modern technology collects vast amounts of data from sensors, with one estimate projecting global data from Internet of Things devices at about 73 zettabytes (or 73 trillion gigabytes) in 2025. And as more data are collected, the infrastructure required to store, transfer, and run compute on that data also grows.

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Ankur Verma PS CMS
February 20, 2023

Penn State research-based startup completes NSF I-Corps National Teams program

As part of the National Teams program, Penn State industrial engineering doctoral candidate and Diefenderfer Graduate Fellow in Entrepreneurship Ankur Verma attended four different conferences to speak to potential customers

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Dr. Kumara Headshot
June 8, 2021

Industrial engineer named 'influential academic' by international society

Soundar Kumara, Allen E. Pearce and Allen M. Pearce Professor of Industrial Engineering at Penn State, was named one of the 20 Most Influential Academics in Smart Manufacturing by SME, formerly known as the Society of Manufacturing Engineers.

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Students

Hassan Alamoudi

Hassan Alamoudi

Machine Learning, Renewable Energy

Mary An

Mary An

Network Science, Healthcare, Machine Learning

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Joong-Hun Choi

Big Data, Data Mining, Machine Learning

Vinay Saji Mathew

Vinay Saji Mathew

Machine Learning, Optimization, and Data Analytics

Dyutimoy Nirupam Das

Dyutimoy Nirupam Das

Network Analysis, Supply Chain, Reinforcement Learning

Jyotirmoy Nirupam Das

Jyotirmoy Nirupam Das

Machine Learning, Health Analytics

Qingyuan-Lu

Qingyuan Lu

Healthcare Data Analytics, Supply Chain Inventory Policy

Chen Zhou

Chen Zhou

Computer vision

Research Areas

Our lab focuses on several key research areas at the intersection of data science, artificial intelligence, and complex systems

AI and Machine Learning

AI & ML in Manufacturing and Healthcare

Developing and applying advanced AI and machine learning techniques to solve complex problems in manufacturing processes and healthcare systems.

Complex Networks

Complex Networks

Analyzing and modeling complex networked systems to understand their structure, dynamics, and emergent behaviors.

Smart Manufacturing

Smart Manufacturing

Advancing the state-of-the-art in manufacturing through data-driven approaches, IoT integration, and intelligent decision-making systems.

Supply Chain Resilience

Supply Chain Resilience

Developing models and methodologies to enhance the resilience and efficiency of supply chain networks in the face of disruptions.

Contact Us

Get in touch with our lab for collaborations, inquiries, or to learn more about our research

Contact Information

Address

233 Leonhard Building
Pennsylvania State University
University Park, PA 16802

Email

Lab Director: Dr. Soundar Kumara

Website Coordinator: Hassan Alamoudi

Team email: LISA@psu.edu