Opening

Ph.D. Openings

I am actively looking for highly self-motivated students at Ph.D. level (PhD will be fully funded with tuition waiver and stipend). A successful candidate is expected to conduct research on one or multiple subjects in the areas of cybersecurity and wireless networking including wireless virtualization, cyber physical systems, big data analytics, Internet-of-Things, machine learning, software defined networks, general networking, signal processing, and applied math (e.g., optimization, queuing, game theory, etc.). A preferred candidate is expected to meet the following criteria:

• Earned MS degree in EE, CS, or a relevant area.

• Strong analytical and communication skills.

• Graduate school admission criteria of Howard University.

• A solid background in any of the following subjects is a plus: cybersecurity, wireless networking/communication, machine learning, game theory, Internet-of-Things, networked control system, software defined radio, software defined networks, named data networks, and system implementation.

If you are interested in working in my research group, please send copies of your CV, transcripts, TOEFL/GRE score, and representative publications (if applicable) to Dr. Danda B. Rawat in one email at Danda.Rawat(at)howard.edu.

I can consider Masters students for funding only after working together for a while.

Visiting Scholar/Student Opportunity:

My research group is also looking for postdoctoral researchers and visiting scholars to join our research lab. We welcome visiting scholars/professors/postdocs to collaborate in research projects of our mutual research interests. If you are interested, please send your detailed resume, publications, and others (if applicable) in PDF in one email to Danda.Rawat(at)howard.edu.

Prospective Undergraduate Students

My research group has a few openings for undergraduate (capstone) projects in the areas of cybersecurity, wireless networking, big data analytics and cyber physical systems. If you are interested, please come by to speak with me.