Asadullah Tariq is currently pursuing his Ph.D. in Computer Science at the United Arab Emirates University, UAE. He has authored numerous journal papers, conference papers and book chapters with notable contributions to prestigious journals such as IEEE COMST (IF: 35.6), IEEE OJCOMS, IEEE IoT J., IEEE TCE, IEEE TITS, IEEE Access, Applied Sciences, Nature Scientific Reports and top conferences such as IEEE INFOCOM, IEEE ICC, ACM/IEEE SEC, IEEE IWCMC, IEEE FNWF and EAI SecureComm etc. He got best paper award at IEEE IIT’23 and EAI SecureComm'24, Student travel grant at ACM/IEEE SEC'23 and best presentation award at BDSIC'23. He is the author of two published book chapters in Elsevier. He has held an adjunct faculty position at UAE University since 2023. His research interests include, but are not limited to, Federated Learning, Machine Learning, Wireless Communication, Edge AI, NDN-ICN, LLM and IoV/IoT. Currently, his research focus is on developing frameworks for trustworthiness in federated learning. Furthermore, Asadullah plays an active role as a reviewer for reputed journals, including but not limited to IEEE COMST, IEEE Commun. Mag., IEEE Comm. Letters, IEEE TAI, IEEE JBHI, IEEE TCC, IEEE TITS, JNCA, IEEE TITS, IEEE TMC, IEEE IoT J., IEEE Access, Elsevier Information Sciences, FGCS and others.