2026 ASEE Annual Conference & Exposition

1. Dr. Henry Griffith Alamo Colleges District
2. Dr. Heena Rathore http://orcid.org/https://0000-0002-9403-8071 Texas State University [biography]

   Heena Rathore is an Assistant Professor at the University of Texas, San Antonio. Prior to that, she was a visiting assistant professor at Texas A&M University. She also worked as a Research Scientist and Program Manager at Hiller Measurements for couple of years. Prior to that, she worked as a postdoctoral researcher for US-Qatar Joint Collaborative Project between Temple University, USA, University of Idaho, USA and Qatar University. Also, she was a visiting scholar for Wichita State University. She received her Ph.D. (with distinction) in Computer Science and Engineering Department while she was a Tata Consultancy Services Research Scholar at Indian Institute of Technology, India. She received her bachelor’s in Computer Science Engineering from College of Technology and Engineering in 2010 with Honors. She has also worked professionally as Design Executive with Phosphate India Private Limited and academically as Guest/Assistant Professor with the University of Texas, Austin and SS College of Engineering, India respectively. She has been the winner of a number of prestigious awards including IEEE Achievements Award, Young Engineer Award, Global Engineering Impact Award and Graphical System Design Achievement Award. She has published more than 30 papers in peer reviewed journals and conferences in her field and is the sole author of Mapping Biological Systems to Network Systems (Springer). She was also featured on TedX, Qatar held by TedXAlDafnaEd in Qatar and her work is covered in professional and major trade publications, major media, such as Microwave Journal, Everything RF, Financial Express, Science Reporter, the Times of India, and India Today. She is IEEE senior member, Vice Chair of IEEE EMBS chapter in San Antonio and IEEE Central Texas Section in Austin. Her research interests include cyber physical systems, deep learning, machine learning, security, cryptocurrency, distributed systems, wireless networks biologically inspired systems and software defined networks.

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