Hi folks! I am Assistant Professor in the Department of Computer Science at Texas State University. Academically, I have worked as Assistant Professor of Practice in Department of Computer Science at University of Texas at San Antonio (UTSA) and with Texas A&M University at Texarkana (TAMUT) as a Visiting Assistant Professor. I am currently chair of EMBS lone star section. For latest events please check our website.

For couple of years, I worked as a Data Scientist and Program Manager at Hiller Measurements, Austin, USA. Prior to that, I was a post-doctorate researcher on US-Qatar Joint Collaborative Project on “Wireless Medical Device Security”. The project was a joint research between Temple University (USA), University of Idaho (USA) and Qatar University (Qatar). I also worked as a visiting researcher at Wichita State University, Kansas, USA.
My research is broadly in the area of cognitive AI, security of cyber physical systems, smart health and trustworthy AI.
2026 News!
- NVIDIA Deep Learning Institute University Ambassador and Certified Instructor on “Building AI Agents with Multimodal Models”.
- Roopika Ganesh, and Heena Rathore, “Repetition-Aware Reinforcement Learning from AI Feedback for Empathetic Dialogue”, The 14th IEEE International Conference on Healthcare Informatics (ICHI), 2026.
- Arjun Gyawali, Rakesh Das, Heena Rathore, “Can LLMs Classify Vehicular Basic Safety Messages Anomalies?”, FLAIRS 2026.
- Alden Duarte-Vasquez, Bishal Thapa, Sahar Hooshmand, Heena Rathore, “Training Ethical Language Models via Reinforcement Learning from AI Feedback”, FLAIRS 2026.
- Heena Rathore, “Trust is the bottleneck”, IEEE Pulse Magazine, 2026.
- Heena Rathore, “Innovate with AI: AI Entrepreneurship Camp Model to Empower Middle-School Students”, IEEE ISEC, 2026.
- Heena Rathore, “AI as a Learning Companion in Security and Cryptography Education”, IEEE ISEC 2026.
- Heena Rathore, “Reimagining Cybersecurity Graduate Education Through Research-Based Role-Playing”, ASEE 2026.
- CAHSI LREU Mentor, 2026.
- Shivangi Tripathi, Teancy Jennifer Rajesh, Henry Griffith, and Heena Rathore, “Paragraph-Level Hallucination Detection and Correction for Trustworthy Large Language Models in Networked Systems”, 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2026, pp. 1-6, doi: 10.1109/CCNC65079.2026.11366495, 2026.
- Roopika Ganesh, and Heena Rathore, “Scaling MLFFN-based Lexicon Generation for Trustworthy and Explainable Cyber Physical Systems”, 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2026, pp. 1-6, doi: 10.1109/CCNC65079.2026.11366490, 2026.
- Rakesh Das, Henry Griffith, Heena Rathore, “Distinguishing Sensor Faults and Malicious Attacks in Connected Vehicles Using Machine Learning”, 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 2026, pp. 1-7, doi: 10.1109/CCNC65079.2026.11366546.
- Programme Advisory Board for the Certificate in Advanced Web Technologies Programme, Programme Advisory Board for the Certificate in Big Data Technologies programme, Namibia University of Science and Technology
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- Editorial Board Member for Humanities & Social Sciences Communications. (2025-2028).
- Editorial Board Member, Academia Biomedical Engineering, 2026- Present.
- Topic Editor, Secure Cyber Physical Systems: Machine Learning and Cryptography, 2025-2026.
Research interests:
- Cognitive Artificial Intelligence,
- Cyber physical systems,
- Security and Privacy,
- Distributed Systems,
- Large Language models,
- Biologically inspired systems.
Background
I was a Tata Consultancy Services (TCS) Research Scholar at Indian Institute of Technology (IIT), Jodhpur, India. My Ph.D. dissertation revolved around “Improving Security in Wireless Sensor Network through Bio-Inspired Approaches” in Computer Science and Engineering. My research area is interdisciplinary in nature which combines ideas from machine learning, psychology, biology and sensor networks. I have developed solutions for the detection and removal of fraudulent nodes in sensor networks based on ideas borrowed from the above-mentioned fields.
I received my bachelor’s in Computer Science Engineering from College of Technology and Engineering in 2010 with Honors. Academically, I worked as Assistant Professor for computer science department with SS College of Engineering. Professionally, I have also worked as Design Executive with Phosphate India Private Limited, India.