Faculty Profiles

Rathore, H., Chowdhary, P., & Griffith, H. (n.d.). Asessing Gender and Age Influences on Moral Decision-Making in Autonomous Vehicles Using Large Language Models.

Shaner, C., Griffith, H., & Rathore, H. (n.d.). Assessing Moral Decision-Making in Large Language Models.

Sanchez San Miguel, G., Griffith, H., Silva, J., & Rathore, H. (n.d.). Evaluating the Explainability of Large Language Models for Ethical Decision Making.

Thapa, B., Rivas, M., Griffith, H., & Rathore, H. (n.d.). StressLLM: Large Language Models for Stress Prediction via Wearable Sensor Data.

Pradhan, M., Hoover, B., Valdez, A., Griffith, H., & Rathore, H. (n.d.). Integrating Justice Theory into Moral Decision-Making for Autonomous Vehicles.

Pradhan, M., Hoover, B., Valdez, A., Griffith, H., & Rathore, H. (n.d.). Advancing Moral Decision-Making for Autonomous Vehicles.

Rathore, H., & Griffith, H. (n.d.). Enhancing Cybersecurity Education Through Research-Based Role-Playing.

Singh, A., & Rathore, H. (2025). Advancing Connected Vehicle Security through Real-time Sensor Anomaly Detection and Recovery. Vehicular Communications, 100876. https://doi.org/10.1016/j.vehcom.2025.100876

Chowdhary, P. J., Griffith, H., & Rathore, H. (2024). A Multi-Level Dempster-Shafer and Reinforcement Learning-Based Reputation System for Connected Vehicle Security.

Saaid, Y., Rathore, H., & Griffith, H. (2024). Advancing Skill-Based Pathways to Good Jobs in Artificial Intelligence at Community Colleges. IEEE.

Shaner, C., Griffith, H., & Rathore, H. (2024). Exploring Gender Dynamics in STEM Education through the lens of Large Language Models.

Franklin, R., Henderson, R., Pillay, N., Rathore, H., Samant, A., Stutts, A., & Weller, T. (2024). Project Connect 2024: Building Community Across the Spectrum - Fostering Community Strength and Connectivity. IEEE Microwave Magazine, 24(5).

Znidi, F., Morsy, M., & Rathore, H. (2024). Future on Wheels: Safeguarding Privacy in Tomorrow’s Connected Vehicles-FUTURE-SP. IEEE Access, 12, 179857–179878. https://doi.org/10.1109/access.2024.3505158

Rathore, H., & Griffith, H. (2024). A Novel Scavenger Hunt Activity for Increasing Student Engagement in Cryptography Coursework. In 2024 ASEE Annual Conference & Exposition Proceedings. ASEE Conferences. https://doi.org/10.18260/1-2--46470

Jasti, P. C., Griffith, H., & Rathore, H. (2024). Eclectic Ethical Decision Making for Autonomous Vehicles. In 2024 Ninth International Conference On Mobile And Secure Services (MobiSecServ) (pp. 1–6). IEEE. https://doi.org/10.1109/mobisecserv63327.2024.10760136

Tripathi, S., Griffith, H., & Rathore, H. (2024). Assessing Hallucination in Large Language Models Under Adversarial Attacks. In 2024 Ninth International Conference On Mobile And Secure Services (MobiSecServ) (pp. 1–6). IEEE. https://doi.org/10.1109/mobisecserv63327.2024.10759969

Saaid, Y., Rathore, H., & Griffith, H. (2024). Advancing Skill-Based Pathways to Good Jobs in Artificial Intelligence at Community Colleges. In 2024 IEEE Integrated STEM Education Conference (ISEC) (Vol. 92, pp. 01–02). IEEE. https://doi.org/10.1109/isec61299.2024.10664902

Shaner, C., Griffith, H., & Rathore, H. (2024). Assessing Implicit Gender Bias in Large Language Models for STEM Career Guidance Applications. In 2024 IEEE Integrated STEM Education Conference (ISEC) (pp. 1–6). IEEE. https://doi.org/10.1109/isec61299.2024.10664821

Znidi, F., Davarikia, H., & Rathore, H. (2024). Power Systems Transient Stability Indices: Hierarchical Clustering Based Detection of Coherent Groups Of Generators. In 2024 IEEE Texas Power and Energy Conference (TPEC) (pp. 1–6). IEEE. https://doi.org/10.1109/tpec60005.2024.10472280

Agarwal, H., & Rathore, H. (2024). BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators. Artificial Intelligence in Medicine, 147, 102736. https://doi.org/10.1016/j.artmed.2023.102736

Voce, G., Griffith, H., & Rathore, H. (2024). Avoiding False Social Conformity in Majority-Malicious Connected Vehicle Networks Employing Consensus-Based Reputation Estimates. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1–6). IEEE. https://doi.org/10.1109/icce59016.2024.10444162

Jasti, P. C., Griffith, H., & Rathore, H. (2024). Detecting and Mitigating Colluding Attacks in Connected Vehicles using Reinforcement Learning. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1–6). IEEE. https://doi.org/10.1109/icce59016.2024.10444185

Rathore, H., Sai, S., & Gundewar, A. (2023). Social Psychology Inspired Distributed Ledger Technique for Anomaly Detection in Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems, 24(7), 7092–7107. https://doi.org/10.1109/TITS.2023.3262398

Rathore, H., Singhal, Y. K., & Joseph, G. K. (2023). Social Psychology Inspired Reinforcement Learning Framework for Conflict Management in Connected Vehicles. IEEE Transactions on Cognitive and Developmental Systems, 1–1. https://doi.org/10.1109/TCDS.2023.3279817

Srivastava, S., Rathore, H., & Tiwari, K. (2023). CEMDQN: Cognitive-inspired Episodic Memory in Deep Q-networks. In 2023 International Joint Conference on Neural Networks (IJCNN) (pp. 1–6). https://doi.org/10.1109/IJCNN54540.2023.10192032

Franklin, R., Henderson, R., Pillay, N., Rathore, H., Samant, A., Stutts, A., & Weller, T. (2023). IMS2023 Project Connect: 10 Years of Awesome. IEEE Microwave Magazine, 24(5), 140–141. https://doi.org/10.1109/MMM.2023.3242915

Rathore, H. (2023). Promoting Research Career Pathways among Engineering Transfer Students at Two-Year Institutions Using Course-Based Undergraduate Research Experiences (CURES). Baltimore , Maryland: ASEE Conferences.

Rathore, H., & Griffith, H. K. (2023). Leveraging Neuro-Inspired Reinforcement Learning for Secure Reputation-based Communication in Connected Vehicles. IEEE.

Griffith, H. K., & Rathore, H. (2023). Personalized Aging-in-Place Support through Fine Tuning of Generative AI Models.

Rathore, H., Mohamed, A., Guizani, M., & Rathore, S. (2023). Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach. Neural Computing and Applications, 35(33), 23697–23710. https://doi.org/10.1007/s00521-021-05704-5

Rathore, H., Jasti, P. C., & Griffith, H. (2023). Distinguishing Sensor Faults and Attacks in Connected Vehicle Networks Using Two-Step Verification. In 2023 Eighth International Conference On Mobile And Secure Services (MobiSecServ) (pp. 1–2). IEEE. https://doi.org/10.1109/mobisecserv58080.2023.10329092

Voce, G., Castillo, M., Griffith, H., & Rathore, H. (2023). Poster: Opinion Dynamics for Enhancing Trust and Security in Connected Vehicle Networks. In Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (pp. 562–564). ACM. https://doi.org/10.1145/3565287.3617977

Castillo, M., Voce, G., Griffith, H., & Rathore, H. (2023). Poster: Decentralized Simulation Workflow for Enhancing Connected Vehicle Security. In Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (pp. 574–576). ACM. https://doi.org/10.1145/3565287.3617981

Kamal, A., Jamal, Z., Rosales, G., Robinson, B., Sotny, Z., & Rathore, H. (2023). Image to Text Recognition for Detecting Human and Machine Altered News in Social Media. In 2023 10th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) (pp. 72–74). IEEE. https://doi.org/10.1109/iotsms59855.2023.10325722

Rathore, S., Sharma, P. K., & Rathore, H. (2023). A Distributed Deep Learning Approach with Mobile Edge Computing for Next Generation IoT Networks Security. In 2023 World Conference on Communication & Computing (WCONF) (pp. 1–3). IEEE. https://doi.org/10.1109/wconf58270.2023.10235095

Rathore, H., & Griffith, H. (2023). GNN-RL: Dynamic Reward Mechanism for Connected Vehicle Security using Graph Neural Networks and Reinforcement Learning. In 2023 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 201–203). IEEE. https://doi.org/10.1109/smartcomp58114.2023.00047

Rathore, H., & Griffith, H. (2023). Improving Reinforcement Learning Performance through a Behavioral Psychology-Inspired Variable Reward Scheme. In 2023 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 210–212). IEEE. https://doi.org/10.1109/smartcomp58114.2023.00050

Rathore, H. (2023). Integrating Cyber Physical System Security Concepts in Computer System Security Curriculum. In 2023 IEEE Integrated STEM Education Conference (ISEC) (pp. 397–399). IEEE. https://doi.org/10.1109/isec57711.2023.10402293

Yadav, S. K., Luthra, A., Pahwa, E., Tiwari, K., Rathore, H., Pandey, H. M., & Corcoran, P. (2023). DroneAttention: Sparse weighted temporal attention for drone-camera based activity recognition. Neural Networks, 159, 57–69. https://doi.org/10.1016/j.neunet.2022.12.005

Davarikia, H., Znidi, F., Barati, M., & Rathore, H. (2023). A New Index based on Power Splitting Indices for Predicting Proper Time of Controlled Islanding. In 2023 IEEE Texas Power and Energy Conference (TPEC) (pp. 1–6). IEEE. https://doi.org/10.1109/tpec56611.2023.10078684

Griffith, H., Farooq, M., & Rathore, H. (2023). A Data Generation Workflow for Consensus-Based Connected Vehicle Security. In 2023 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1–2). IEEE. https://doi.org/10.1109/icce56470.2023.10043181

Rathore, H., & Bhadauria, V. (2022). Intelligent Decision Making in Autonomous Vehicles using Cognition Aided Reinforcement Learning. In 2022 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 524–529). https://doi.org/10.1109/WCNC51071.2022.9771728

Aggrawal, H., Franklin, R., Haj-Omar, A., Harvey, D., Henderson, R., Kahn, K., … Weller, T. (2022). IMS2022 Project Connect: High-Impact Connections. IEEE Microwave Magazine, 23(5), 120–129. https://doi.org/10.1109/MMM.2022.3148155

Narayan, K., Rathore, H., & Znidi, F. (2022). Using Epidemic Modeling, Machine Learning and Control Feedback Strategy for Policy Management of COVID-19. IEEE Access, 10, 98244–98258. https://doi.org/10.1109/ACCESS.2022.3206790

Agarwal, H., & Rathore, H. (2022). Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators. In arXiv preprint arXiv:2212.13260.

West, R., Hooker, A., Rathore, H., & Griffith, H. (2022). Ubiquitous Multimodal Seizure Management Using Emerging Consumer Technologies. In 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (pp. 1–4). IEEE. https://doi.org/10.1109/icce-asia57006.2022.9954839

Yadav, S. K., Sai, S., Gundewar, A., Rathore, H., Tiwari, K., Pandey, H. M., & Mathur, M. (2022). CSITime: Privacy-preserving human activity recognition using WiFi channel state information. Neural Networks, 146, 11–21. https://doi.org/10.1016/j.neunet.2021.11.011

Franklin, R., Gorman, K., Henderson, R., Pillay, N., Rathore, H., Samant, A., & Weller, T. (2021). Project Connect--A Model for Immersive Professional Development of Future Engineers. In ASEE CoNECD Conference.

Franklin, R., Henderson, R., Pillay, N., Rathore, H., Samant, A., & Weller, T. (2021). IMS2021 Project Connect: Connecting to Broaden Participation. IEEE Microwave Magazine, 22(5), 70–71. https://doi.org/10.1109/MMM.2021.3056987

Rathore, H., & Samant, A. (2021). Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations. In 2021 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 1–6). https://doi.org/10.1109/ICCWorkshops50388.2021.9473604

Rathore, H., Samant, A., & Jadliwala, M. (2021). TangleCV: A Distributed Ledger Technique for Secure Message Sharing in Connected Vehicles. ACM Transactions on Cyber-Physical Systems, 5(1), 1–25. https://doi.org/10.1145/3404500

Rathore, H., Mohamed, A., & Guizani, M. (2020). A Survey of Blockchain Enabled Cyber-Physical Systems. Sensors, 20(1), 282. https://doi.org/10.3390/s20010282

Rathore, H., Mohamed, A., & Guizani, M. (2020). Chapter 6 - Deep learning-based security schemes for implantable medical devices. In A. Mohamed (Ed.), Energy Efficiency of Medical Devices and Healthcare Applications (pp. 109–130). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-12-819045-6.00006-6

Rathore, H., Mohamed, A., & Guizani, M. (2020). Chapter 8 - Blockchain applications for healthcare. In A. Mohamed (Ed.), Energy Efficiency of Medical Devices and Healthcare Applications (pp. 153–166). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-12-819045-6.00008-X

Franklin, R., Henderson, R., Pillay, N., Rathore, H., Samant, A., & Weller, T. (2020). IMS2020 Project Connect: Connectivity That Works. IEEE Microwave Magazine, 21(5), 69--73.

Rathore, H., Fu, C., Mohamed, A., Al-Ali, A., Du, X., Guizani, M., & Yu, Z. (2020). Multi-layer security scheme for implantable medical devices. Neural Computing and Applications, 32(9), 4347–4360. https://doi.org/10.1007/s00521-018-3819-0

Rathore, H., Samant, A., Camp, J., & Koutitas, G. (2020). Invited Paper: mmMoReEdge: A mmWave Modular and Reconfigurable Testbed Design using a Smart Edge Framework. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 1–6). IEEE. https://doi.org/10.1109/percomworkshops48775.2020.9156144

Rathore, H., Al-Ali, A. K., Mohamed, A., Du, X., & Guizani, M. (2019). A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants. IEEE Access, 7, 24154–24164. https://doi.org/10.1109/access.2019.2899558

Rathore, H., Samant, A., Jadliwala, M., & Mohamed, A. (2019). TangleCV: Decentralized Technique for Secure Message Sharing in Connected Vehicles. In Proceedings of the ACM Workshop on Automotive Cybersecurity (pp. 45–48). New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3309171.3309177

Rathore, H., Samant, A., & Guizani, M. (2019). A Bio-Inspired Framework to Mitigate DoS Attacks in Software Defined Networking. In 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS) (pp. 1–5). IEEE. https://doi.org/10.1109/ntms.2019.8763818

Rathore, H. (2018). DLRT: Deep learning approach for reliable diabetic treatment. In 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. https://doi.org/10.1109/GLOCOM.2017.8255028

Vinayaga-Sureshkanth, N., Maiti, A., Jadliwala, M., Crager, K., He, J., & Rathore, H. (2018). A Practical Framework for Preventing Distracted Pedestrian-Related Incidents Using Wrist Wearables. IEEE Access, 6, 78016–78030. https://doi.org/10.1109/ACCESS.2018.2884669

Rathore, H., Wenzel, L., Al-Ali, A. K., Mohamed, A., Du, X., & Guizani, M. (2018). Multi-Layer Perceptron Model on Chip for Secure Diabetic Treatment. IEEE Access, 6, 44718–44730. https://doi.org/10.1109/ACCESS.2018.2854822

Vinayaga-Sureshkanth, N., Maiti, A., Jadliwala, M., Crager, K., He, J., & Rathore, H. (2018). Towards a Practical Pedestrian Distraction Detection Framework using Wearables. In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 239–245). https://doi.org/10.1109/PERCOMW.2018.8480238

Rathore, H., Al-Ali, A., Mohamed, A., Du, X., & Guizani, M. (2018). DTW based Authentication for Wireless Medical Device Security. In 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 476–481). https://doi.org/10.1109/IWCMC.2018.8450419

Rathore, H., Guizani, M., & Mohamed, A. (2018). Mathematical Evaluation of Human Immune Systems For Securing Software Defined Networks. In 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM) (pp. 1–6). https://doi.org/10.1109/WINCOM.2018.8629728

Rathore, H. (2017). A review of security challenges, attacks and resolutions for wireless medical devices. In 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. https://doi.org/10.1109/IWCMC.2017.7986505

Rathore, H. (2016). Mapping Biological Systems to Network Systems. Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8

Rathore, H. (2016). Consensus-aware sociopsychological trust model for wireless sensor networks. ACM Transactions on Sensor Networks. https://doi.org/10.1145/2903721

Rathore, H. (2016). Information Epidemics and Social Networking. In Mapping Biological Systems to Network Systems (pp. 67–78). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_6

Rathore, H. (2016). Bio-inspired Approaches in Various Engineering Domain. In Mapping Biological Systems to Network Systems (pp. 177–194). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_11

Rathore, H. (2016). Introduction: Bio-inspired Systems. In Mapping Biological Systems to Network Systems (pp. 1–10). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_1

Rathore, H. (2016). Bio-inspired Software-Defined Networking. In Mapping Biological Systems to Network Systems (pp. 107–115). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_9

Rathore, H. (2016). Genetic Algorithms. In Mapping Biological Systems to Network Systems (pp. 97–106). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_8

Rathore, H. (2016). Inceptive Findings. In Mapping Biological Systems to Network Systems (pp. 27–35). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_3

Rathore, H. (2016). Computer Networks. In Mapping Biological Systems to Network Systems (pp. 11–25). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_2

Rathore, H. (2016). Immunology and Immune System. In Mapping Biological Systems to Network Systems (pp. 51–65). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_5

Rathore, H. (2016). Artificial Neural Network. In Mapping Biological Systems to Network Systems (pp. 79–96). Springer International Publishing. https://doi.org/10.1007/978-3-319-29782-8_7

Rathore, H., Badarla, V., & J, G. K. (2016). Sociopsychological trust model for Wireless Sensor Networks. Journal of Network and Computer Applications, 62, 75–87. https://doi.org/10.1016/j.jnca.2015.09.009

Rathore, H. (2014). Primary-secondary immune response adaptation for wireless sensor network. In 2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2014. https://doi.org/10.1109/SAHCN.2014.6990344

Rathore, H., Badarla, V., Jha, S., & Gupta, A. (2014). Novel approach for security in Wireless Sensor Network using bio-inspirations. In 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS) (pp. 1–8). IEEE. https://doi.org/10.1109/comsnets.2014.6734875

Rathore, H., & Jha, S. (2013). Bio-inspired machine learning based Wireless Sensor Network security. In 2013 World Congress on Nature and Biologically Inspired Computing (pp. 140–146). IEEE. https://doi.org/10.1109/nabic.2013.6617852

Rathore, H. (2012). A system for building immunity in social networks. In Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012. https://doi.org/10.1109/NaBIC.2012.6402234

Rathore, H. (2012). Modular network effects on communicable disease models. In Proceedings - 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012. https://doi.org/10.1109/AMS.2012.20

Rathore, H. (2011). Dynamic Adaptive Cross layer mapping mechanism for video transmission over wireless networks. In Proceedings of 2011 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC2011. https://doi.org/10.1109/ETNCC.2011.5958517