Staff Profile
PROF. STEPHANIE NORONHA
Assistant Professor
Computer Engineering
M.E. (Computer), B.E. (Computer)
Joining Date
03-Jul-2023
Academics Experience
2 years, 3 months
Industrial Experience
0 years, 0 months
Contact
location_city
C K Pithawala College Of Engineering and Technology, Near Malvan Mandir,Surat
phone
email
stephanie.noronha@ckpcet.ac.in
web
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Brief Profile
subject
Area of Interests
Machine Learning, Artificial Intelligence, Deep Learning
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Achievements
Reviewer in American Journal of Artificial Intelligence, IIP PROCEEDING and ASTES Journal
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Note
  • assignment DEEP-LEARNING BASED DERMATOLOGICAL CONDITION DETECTION: A SYSTEMATIC REVIEW WITH RECENT METHODS, DATASETS CHALLENGES AND FUTURE DIRECTIONS
    IEEE ACCESS
    IEEE ACCESS
    INTERNATIONAL JOURNAL
    date_range
    13-Dec-2023
    location_city
  • assignment Racial Categorization Methods: A Survey
    ASTES Journal
    INTERNATIONAL JOURNAL
    date_range
    16-Jul-2020
    location_city
  • assignment A Comparative Study on Forehead Landmarking Techniques
    IEEE 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)
    INTERNATIONAL CONFERENCE
    date_range
    13-Jul-2023
    location_city
  • flare Machine learning, Computer vision, IoT, and SAP ABAP
    date_range
    11-12-23 to 15-12-23
    location_city
    CKPCET, SURAT
    FDP
  • flare Python and IoT
    date_range
    07-08-23 to 28-08-23
    location_city
    FDP
  • flare Three-day Faculty development Program on Citation and styles, and Reference Lists
    date_range
    13-07-23
    location_city
    FDP
  • flare IEEE Xplore Webinar on Search Strategies to Optimize Your Research Time
    date_range
    13-07-23
    location_city
    WEBINAR
  • flare Hours International Faculty Development Program on Deep Learning for NLP and Computer Vision
    date_range
    10-07-23 to 28-07-23
    location_city
    FDP
  • flare Deep Learning for NLP and Computer Vision
    date_range
    10-07-23 to 28-07-23
    location_city
    FDP
  • flare Applications of Machine learning in Urban Studies
    date_range
    05-06-23 to 09-06-23
    location_city
    ONLINE_COURSE
  • flare Deep Learning with Limited Labeled Data: ‘Challenges and Trends organized by IEEE SPS, GS in collaboration with IEEE, SPS, MBIT
    date_range
    24-06-22
    location_city
    EXPERT_TALK
  • flare Writing Quality Research Paper and Proposal (SVNIT)
    date_range
    06-07-21 to 10-07-21
    location_city
    STTP
Fabrication of Portable Device for Easy Detection on Newborn Ringworm using Deep Learning

An International Innovation Patent titled “Fabrication of Portable Device for Easy Detection on Newborn Ringworm using Deep Learning” (Application No. 2021101962). Granted on 23rd June 2021.

Innovation Patent

INDIGENOUS COMPACT DEVICE FOR EARLY DIAGNOSIS OF NEONATAL HYPOTHYROIDISM USING DEEP LEARNING’, Patent number: 2021101430, by Australian Government IP Australia, 2021.

Innovation Patent

FABRIATION OF PORTABLE DEVICE FOR EASY DETECTION ON NEONATAL MILIA USING DEEP LEARNING’, Patent number: 2021101767, 2021.

Innovation Patent

AN IOT-BASED NEONATAL CADDY, Patent number: IN/PA 2959, by Indian Government, 2022.

Innovation Patent

GPS ACTIVATED IOT BASED OPTIMISED CENTER PIVOT IRRIGATION SYSTEM FOR LOW ENERGY PRECISION VALLEY IRRIGATION, Patent number: IN/PA 2959, by Indian Government, 2022.