Mahadevan Subramaniam (Subu) is the Chairperson of the Computer Science Department in the College of Information Science and Technology in the University of Nebraska at Omaha, UNO. He is a Professor of Computer Science and the Director of the Intelligent Modeling, Simulation, and Testing Laboratory at the Peter Kiewit Institute. Prior to joining UNO, Subu worked in the high-tech industrial corridor in Silicon Valley, Bay Area, as a research scientist, computer architect, and an entrepreneur. He was a member of the team designing one of the first production quality compiler-compilers for programming language, CHILLTM and was involved in designing compiler for the hardware programming language, VerilogTM . He was a founding member of the Automated Software Engineering Group at NASA Ames Research Center, architected a distributed shared memory system, and was a principal architect for one of the first Infiniband Target Channel adapter in a successful start-up company.

As the chairperson, his overarching objective is to make the computer science department at UNO a welcoming space for all, fostering a positive, student-centric learning environment while promoting high quality teaching, research, and scholarship. The department consists of world class faculty in core and applied areas of computer science including artificial intelligence, computing systems, human centered computing, and computer science education. The department offers ABET/CAC accredited undergraduate program in computer science with concentration areas in artificial intelligence, internet technologies, and computer games. It also offers a Master's program in computer science with concentrations and graduate certificates in several emerging areas including an online certificate in machine learning. Department faculty also actively supervise doctoral students in the college wide doctoral program.

His research interests are in the areas of AI in Science, AI-driven simulation, Digital Twins, and application of qualitative, quantitative inference involving Living Materials, Augmented Learning, and Clinical medical informatics. His research works on AI in Science has focused on developing new self-supervised, and super-resolution based approaches for for label-efficient, predictive analyses of growth of biofilms involving sulphur reducing bacteria on material surfaces, 2D material coating boundary detection  using multi-modal microscopy and spectroscopy data, analysing lipid nanomolecule morphologies for pharmacological applications. His work on augmented learning has focused on creating adaptive serious games for quantum cryptography, development of intelligent notebooks for quantum internet and network security, as well as digital twins of networks of LLMs enabling ubiquitous 24/7 quantum education classrooms. Over the past decade, he has been collaborating with physicians and clinical researchers from the University of Nebraska Medical Center, the Beyer Eye Institute, Stanford, Ocular Imaging Research and Reading Center, and from Turkey, and Argentina to design devices, software applications, and Deep Learning methods for the diagnosis and management of retinal diseases. With colleagues, he has developed a device and a software application to measure and automatically correct the visual impairments perceived by Age-related Macular Degeneration (AMD) subjects. He is currently collaborating with Stanford, University of Cincinnati, and Utah Medical Schools developing deep and generative learning based clinical studies for uveitis. 

He obtained my PhD in Computer Science from the University of Albany, NY in Artificial Intelligence and Automated Reasoning. He is an MSc(Tech) Computer Science from BITS Pilani, India.

He likes running and has completed several 5ks, 10Ks, Half and Full Marathons.