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Asif I. Baba

Title: Clinical Associate Professor

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Aalborg Universitet - Denmark, 2016
    Major: Computer Science and Engineering
    Dissertation: Cleansing Indoor RFID tracking Data
  • MS, Chalmers University of Technology - Sweden, 2009
    Major: Computer Science and Engineering
  • BS, University of Lahore - Pakistan, 2005
    Major: Computer Science

Current Scheduled Teaching

CSCE 5520.001Wireless Networks and ProtocolsSpring 2025
CSCE 5520.002Wireless Networks and ProtocolsSpring 2025
CSCE 5520.001Wireless Networks and ProtocolsFall 2024
CSCE 5520.003Wireless Networks and ProtocolsFall 2024
CSCE 5520.004Wireless Networks and ProtocolsFall 2024

Previous Scheduled Teaching

CSCE 4010.400Social Issues in ComputingSummer 10W 2024 Syllabus SPOT
CSCE 5520.001Wireless Networks and ProtocolsSummer 10W 2024 SPOT
CSCE 5520.002Wireless Networks and ProtocolsSummer 10W 2024 SPOT
CSCE 5520.001Wireless Networks and ProtocolsSpring 2024 Syllabus SPOT
CSCE 5520.002Wireless Networks and ProtocolsSpring 2024 Syllabus SPOT
CSCE 5580.005Computer NetworksFall 2023 SPOT
CSCE 5580.006Computer NetworksFall 2023 SPOT
CSCE 5520.001Wireless Networks and ProtocolsFall 2023 SPOT
CSCE 4010.002Social Issues in ComputingSummer 10W 2023 Syllabus SPOT
CSCE 5520.001Wireless Networks and ProtocolsSummer 10W 2023 SPOT
CSCE 5520.002Wireless Networks and ProtocolsSummer 10W 2023 SPOT
CSCE 5580.001Computer NetworksSpring 2023 SPOT
CSCE 5580.003Computer NetworksSpring 2023 SPOT
CSCE 5310.001Methods in Empirical AnalysisSpring 2023 SPOT
CSCE 5580.001Computer NetworksFall 2022 SPOT
CSCE 5580.003Computer NetworksFall 2022 SPOT
CSCE 5580.005Computer NetworksFall 2022 SPOT
CSCE 5310.002Methods in Empirical AnalysisFall 2022 SPOT
CSCE 4010.001Social Issues in ComputingSummer 8W1 2022 Syllabus SPOT
CSCE 5580.002Computer NetworksSpring 2022 SPOT
CSCE 5580.003Computer NetworksSpring 2022 SPOT
CSCE 1030.003Computer Science IFall 2021 Syllabus SPOT
CSCE 1030.004Computer Science IFall 2021 Syllabus SPOT
CSCE 1030.301Computer Science IFall 2021 SPOT
CSCE 1030.303Computer Science IFall 2021 SPOT
CSCE 1030.304Computer Science IFall 2021 SPOT
CSCE 1030.307Computer Science IFall 2021 SPOT
CSCE 1030.310Computer Science IFall 2021 SPOT
CSCE 1030.311Computer Science IFall 2021 SPOT
CSCE 1030.313Computer Science IFall 2021 SPOT
CSCE 1030.315Computer Science IFall 2021 SPOT
CSCE 1030.317Computer Science IFall 2021 SPOT
CSCE 1030.319Computer Science IFall 2021 SPOT
CSCE 1030.322Computer Science IFall 2021 SPOT
CSCE 1030.323Computer Science IFall 2021 SPOT
CSCE 1030.326Computer Science IFall 2021 SPOT
CSCE 1030.327Computer Science IFall 2021 SPOT
CSCE 1030.328Computer Science IFall 2021 SPOT
CSCE 1030.329Computer Science IFall 2021 SPOT
CSCE 1030.331Computer Science IFall 2021 SPOT
CSCE 1040.001Computer Science IIFall 2021 Syllabus SPOT
CSCE 1040.003Computer Science IIFall 2021 Syllabus SPOT
CSCE 1040.302Computer Science IIFall 2021 SPOT
CSCE 1040.303Computer Science IIFall 2021 SPOT
CSCE 1040.304Computer Science IIFall 2021 SPOT
CSCE 1040.305Computer Science IIFall 2021 SPOT
CSCE 1040.306Computer Science IIFall 2021 SPOT
CSCE 1040.307Computer Science IIFall 2021 SPOT
CSCE 1040.308Computer Science IIFall 2021 SPOT

Contracts, Grants and Sponsored Research

    Grant - Research

  • Huang, Y. (Principal), Li, X. (Co-Principal), Yang, Q. (Co-Principal), Fan, H. (Co-Principal), Qiu, C. (Co-Principal), Wei, Y. (Co-Principal), Baba, A.I. (Supporting), "Intelligent Distributed Sensing," sponsored by Army Research Lab/Northeastern University, Federal, $902266 Funded. (2024 - 2025).
  • Huang, Y. (Principal), Li, X. (Co-Principal), Yang, Q. (Co-Principal), Fan, H. (Co-Principal), Qiu, C. (Co-Principal), Wei, Y. (Co-Principal), Baba, A.I. (Supporting), "Learning Empowered Distributed Sensing," sponsored by Army Research Lab/Northeastern University, Federal, $2069324 Funded. (2023 - 2024).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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