Faculty Mentors

Meet our world-class faculty researchers who will guide your journey in advanced sensor technologies and cybersecurity

Dr. Nikki Pissinou

Dr. Nikki Pissinou

Professor & Director of Telecommunications and Information Technology Institute

Dr. Pissinou has published over 250 research papers on networking, telecommunications, distributed systems, mobile computing, security, and nontraditional data management, including co-editing four texts and over fourteen IEEE and ACM conference volumes. Her research has been funded by NSF, DHS, NASA, DOT, DoD, and industry. She has graduated over nineteen Ph.D. students now in academia, government, and industry. She has served as chair or committee member in many ACM and IEEE conferences, and as editor of journals including IEEE Transactions on Data and Knowledge Engineering. She has founded forums like ACM GIS and received numerous awards and honors.

Research Interests:

Distributed Systems Mobile Computing Telecommunications
Christian Poellabauer

Dr. Christian Poellabauer

Professor and Interim Associate Dean for Research and Graduate Studies

Dr. Christian Poellabauer is a Professor at FIU's Knight Foundation School of Computing and Information Sciences. He received his Ph.D. from Georgia Tech and previously served at the University of Notre Dame. He directs the MOSAIC Lab, developing mobile and wearable sensing solutions for healthcare, including concussion diagnosis and monitoring of neurological conditions. His work spans IoT, wireless networks, and edge AI. He is a Fulbright Scholar, co-author of a textbook on Wireless Sensor Networks, and supports student startup efforts. His research is funded by NIH, NSF, DoD, and partners like IBM, Ford, the NFL, and National Geographic.

Research Interests:

Wireless & Mobile Systems Cyber-Physical Systems Health Informatics Machine Learning
Dr. Deng Pan

Dr. Deng Pan

Professor, School of Computing and Information Sciences

Dr. Pan received his Ph.D. degree in computer science from State University of New York at Stony Brook in 2007. His research interests are generally in high performance switch design and high speed networking. His current research focuses on network function virtualization, data center networking, and energy efficient networking. He has published over fifty peer-reviewed papers in leading refereed journals and conferences, including the IEEE Transactions on Computers, IEEE Transactions on Communications, IEEE INFOCOM, and IEEE International Parallel and Distributed Processing Symposium. He has served as local arrangement co-chair or technical program committee member in many international conferences, including IEEE INFOCOM, IEEE GLOBECOM, and ICPP.

Research Interests:

High speed networking Network Function Virtualization (NFV) Energy-Efficient and Data Center Networking
Dr. Nagarajan Prabakar

Dr. Xuyu Wang

Associate Professor, School of Computing and Information Sciences

Dr. Xuyu Wang is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He received his Ph.D. in Electrical and Computer Engineering from Auburn University in 2018 and was previously an Assistant Professor at California State University, Sacramento. His research interests include wireless sensing, Internet of Things, wireless localization, smart health, wireless networks, and AI security. He received the NSF CRII Award in 2021 and several IEEE best paper and demo awards. He has organized tutorials at CVPR and ICC and served as a keynote speaker. He is editor of Contactless Vital Signs Monitoring and serves as associate editor for Elsevier’s Digital Communications and Networks and guest editor for ACM Transactions on Sensor Networks.

Research Interests:

Wireless Sensing & Localization nternet of Things (IoT) AI-Enabled Smart Health Systems
Dr. Mo Sha

Dr. Mo Sha

Associate Professor

Dr. Mo Sha is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). Before joining FIU, he was an Assistant Professor in the Department of Computer Science at Binghamton University - State University of New York. His research interests include wireless networking, Internet of Things, applied machine learning, network security, and cyber-physical systems. He published more than 50 research papers, served on the technical program committees of 16 premier conferences, and reviewed paper for 21 journals. He received the NSF CAREER award in 2021, the NSF CRII award in 2017, and the Educator of the Year in Computer Science award and the Career Champion award at Binghamton University in 2018. He is a senior member of IEEE, a senior and lifetime member of ACM, and a member of Sigma Xi.

Research Interests:

Wireless Networking Internet of Things Applied Machine Learning Network Security Cyber-Physical Systems
Dr. Bogdan Carbunar

Dr. Bogdan Carbunar

Associate Professor, School of Computing and Information Sciences

Bogdan Carbunar is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at FIU, and directs the Cyber Security and Privacy Research (CaSPR) Lab, where he develops secure and usable systems. His research interests are at the intersection of security, privacy and distributed systems, where he derives novel insights through the use of machine learning, applied cryptography and user studies. His recent interests include fraud and abuse detection in online systems (e.g., Google, Facebook, Yelp), mobile authentication and cryptocurrency-based censorship resistance. He has published papers in top tier conferences and journals some of which have received best paper awards. He holds a PhD in computer science from Purdue University and a BS from Politehnica University Bucharest.

Research Interests:

Security & Privacy Distributed Systems Machine Learning Applied Cryptography
Dr. Farhad Shirani

Dr. Farhad Shirani

Assistant Professor

Dr. Farhad Shirani received his Ph.D. from University of Michigan, Ann Arbor, in 2016. He was a Research Assistant Professor at New York University in 2016-2020. His research focuses in the areas of privacy and security, wireless communications, and machine learning.

Research Interests:

Privacy & Security Wireless Communications Machine Learning

Graduate Student Mentors

Dedicated graduate students who provide additional mentorship and support for REU participants

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Luis Alberto Lago Enamorado

Ph.D. Student, School of Computing and Information Sciences

Luis Alberto Lago Enamorado is affiliated with the School of Information and Electronics at the Beijing Institute of Technology in China. His research focuses on advanced wireless communication systems, including pilot contamination mitigation in massive MIMO networks and human body communication channels. He has co-authored publications in top-tier IEEE conferences and journals such as IEEE Transactions on Vehicular Technology. Dr. Lago Enamorado's work explores novel signal processing techniques for enhancing communication efficiency and reliability in future wireless systems.

Research Interests:

Massive MIMO Systems Pilot Decontamination Techniques Human Body Communication Channels

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Alex Pissinou Makki

Ph.D. Student, School of Computing and Information Sciences

Alex Pissinou Makki holds a B.S. in Electrical Engineering and Computer Science from UC Berkeley and an M.S. in Computer Science from the University of Illinois at Urbana-Champaign. His research focuses on the intersection of machine learning and cybersecurity, including adversarial models, deep learning, and federated learning. His work has been published in peer-reviewed venues and reflects a strong interest in information theory, IoT, and data science. In 2018, he received an Honorable Mention for “Outstanding Undergraduate Researcher” by the CRA. He is a member of Tau Beta Pi and Sigma Alpha Pi and actively mentors students for tech-driven social impact.

Research Interests:

Machine Learning & Cybersecurity Federated & Adversarial Learning IoT and Information Theory

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Moreno-Garcia, Juan

Ph.D. Student, School of Computing and Information Sciences

Moreno-Garcia, Juan is a Ph.D. student in the School of Computing and Information Sciences at Florida International University. His research interests include machine learning, cybersecurity, and privacy. He is a member of the Cybersecurity and Privacy Research (CaSPR) Lab and the School of Computing and Information Sciences. He is also a member of the IEEE and the ACM.

Research Interests:

Machine Learning Cybersecurity Privacy

Previous Faculty

Former faculty members who have contributed to our REU program

Dr. Hadi Amini

Dr. Hadi Amini

Visiting Assistant Professor, School of Computing and Information Sciences

Dr. Amini is an Assistant Professor at FIU and director of the SOLID (Sustainability, Optimization, and Learning for InterDependent networks) lab. His research focuses on machine learning, optimization, and distributed intelligence with applications in smart cities, robotics, energy systems, and cyber-physical resilience.

Research Interests:

Machine Learning & Optimization Cyber-Physical Systems Smart Cities & Resilient Networks
Dr. Leonardo Bobadilla

Dr. Leonardo Bobadilla

Associate Professor, Electrical & Computer Engineering

Dr. Bobadilla is an Assistant Professor at FIU whose research focuses on the information requirements for core robotics tasks such as navigation, tracking, and motion safety. He develops and tests scalable robotic systems with minimal sensing and computation, with work funded by agencies like the NSF, ARO, and DHS.

Research Interests:

Autonomous Robotics Motion Planning & Navigation Multi-Robot Systems
Dr. Kianoosh Boroojeni

Dr. Kianoosh Boroojeni

Professor, Electrical & Computer Engineering

Dr. Boroojeni is a researcher with expertise in network optimization and cybersecurity, holding a Ph.D. in Computer Science from FIU and a B.Sc. from the University of Tehran. He is the author of five books and numerous peer-reviewed publications, with award-winning contributions to graduate research and conference papers.

Research Interests:

Network Optimization Cybersecurity Applied Algorithms

Mentorship Program

Our faculty mentors provide comprehensive guidance throughout your research journey

One-on-One Meetings

Regular individual meetings with your faculty mentor to discuss research progress and career goals.

Research Guidance

Expert guidance on research methodology, data analysis, and scientific writing.

Career Development

Support for graduate school applications, career planning, and professional networking.

Work with World-Class Researchers

Join our distinguished faculty in advancing the frontiers of advanced sensor technologies and cybersecurity. Apply now to begin your research journey at FIU.