-
S. Sodagari, "Predictive Modeling and Cohort Data
Analytics for Student Success and Retention",
in Elsevier Journal of Evaluation and Program
Planning
-
S. Sodagari, et al. "Exploring
Vaccine Safety and Adverse Events in Major
Autoimmune Diseases",
in Elsevier Journal of Autoimmunity Reviews
-
S. Sodagari, "Key Predictors of Student Proficiency in Quantum
Computing", in Elsevier Journal of Social
Sciences & Humanities Open
-
S.
Sodagari, et al. "Quantum Education
at Minority Serving Institutions: Insights from Faculty Perspectives,"
IEEE
Integrated STEM Education Conference, Princeton University,
March
2025
-
S. Sodagari, et al. "Examining
Vaccination-Related Adverse Events in Frequent
Neurodegenerative Diseases", in Elsevier Journal of
Brain, Behavior, & Immunity-Health
-
Prof.
Sodagari receives a NSF grant on quantum sciences.
-
Prof.
Sodagari facilitated a collaboration with AWS, bringing
their experts to the university to conduct workshops on
security and AI/ML for students.
-
Book on "Privacy and Security for Mobile Crowdsourcing"
looks into
vulnerabilities and solutions, with cutting-edge techniques,
intuitive discussions, and insights on topics ranging from spatio-temporal privacy to blockchain-based crowdsourcing.
-
Prof. Sodagari receives Ukleja Center for
Ethical Leadership award.
-
Prof. Sodagari is selected for NSF Game
Changer Academies.
-
S.Sodagari,
"Trends for Mobile IoT
Crowdsourcing Privacy and Security in the Big Data Era,"
IEEE Transactions on Technology and Society
-
Prof. Sodagari is invited to NSF URoL Workshop on Leveraging
AI and Data Science for Predicting Mechanisms.
-
Prof. Sodagari is selected by the Provost's Office in
support of the CSU Chancellor's Office initiatives.
-
Prof. Sodagari takes a sabbatical leave in Fall 2021.
-
Prof. Sodagari receives Quality Matters (QM)
peer reviewer certificate
related to online and digital instruction.
-
Prof. Sodagari is the Faculty
Champion of Electrical Engineering in the campus-wide
Faculty Champions.
-
Research work:
S. Sodagari, "Covert Communications Against an
Adversary with Low-SNR Sensing Capability in Nakagami
Fading,"
IEEE Sensors
Letters
-
Published:
Deep UL2DL: Data-Driven Channel Knowledge Transfer from
Uplink to Downlink, IEEE Open Journal of Vehicular
Technology
-
Prof. Sodagari invited to give a talk at the colloquium of
Mathematics and Statistics Department.
-
Prof. Sodagari invited to talk at the
IEEE
Author Workshop.
-
Prof. Sodagari receives CSU Transportation Research award.
-
Research work published:
"Improved Cognitive Radio Receivers Using Timing
Mismatch of Primary and Secondary Users," in IEEE
Transactions on Circuits and Systems II, vol. 66, no. 6, pp. 948-952, June 2019
-
Published:
"Performance Analysis of Non-Orthogonal Multiple Access with Underlaid Device-to-Device Communications,"
IEEE Access,
2018
-
Research work published: Shabnam Sodagari
et
al. "Technologies
and Challenges for Cognitive Radio Enabled Medical Wireless Body
Area Networks,"
IEEE Access, vol. 6, 2018
-
Research published:
"Enhanced
Spectrum Sharing and Cognitive Radio Using Asynchronous
Primary and Secondary Users,"
IEEE Communications
Letters,
vol. 22, no. 4, pp. 832-835, April 2018
-
Research published: Shabnam Sodagari, "Real-Time
Scheduling in Cognitive Radio Networks," in
IEEE Systems
Journal, 2017
-
The following
was presented at the Mayo Clinic:
B. Bozorgchami
and S. Sodagari, "Spectrally efficient
telemedicine and in-hospital patient data transfer," IEEE International Symposium
on Medical Measurements and Applications, May 2017, Mayo
Clinic
-
Prof. Sodagari is a co-chair of
the
second CRESS workshop on
cognitive radio security in conjunction with IEEE CNS
2016 in Philadelphia.
-
Prof. Sodagari is an organizing committee member for IEEE
GLOBECOM.
-
Prof. Sodagari is an organizing committee member for ISMICT.
