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Detty M Panicker

Assistant Professor
Date of Joining: 01-06-2026
dettympanicker@gmail.com
9747084212

Professional Experience : 1 yrs

Teaching: 4+ years

Educational Profile:

  • M.Tech.
    • University: University of Kerala, Thiruvananthapuram.
    • College: BMCE Sasthamcotta (2014-2016)
    • Area: Compter Science & Engineering .
  • B.Tech.
    • University: University of Kerala, Thiruvananthapuram.
    • College: BMCE Sasthamcotta (2010-2014).
    • Branch: Compter Science & Engineering .

 

Duties & Responsibilities

  • Advisor : First Year advisor of CSE Data science

Courses handled:

  1. Operating Systems
  2. Computer Graphics & Image processing
  3. System software
  4. Algorithmic Thinking in python
  5. Industrial Safety Engineering
  6. Professional Ethics

Labs handled:

  1. Operating systems Lab
  2. System Software and Microprocessor lab
  3. Data structure Lab
  4. C programming Lab
  5. Object oriented Programming Lab
  6. Seminar & Project Preliminary

Research interests:

  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Robotics
  • Deep Learning
  • Digital Image Processing

 

Publications:

 

1.      Elga Abraham, Jessen Joshua Thomas, Jiya Ajith, Kevin Kunjumon, Detty M Panicker, " Privacy preserving image trading system based on Blockchain and group signature", NCASCD'24, Conference Proceedings, 2024.

2.      Ashly Asha Biju, Blesson C Biju, Eibel S Mathew, Rinkle Kunjumon, " Safe Heaven : Natural Diaster Prediction System", NCASCD'24,2024.

3.      Detty M Panicker, Akshay Krishnan , Ann Treesa Raphi..” AI Virtual Keyboard For Typing”, NCASCD’23,IJERT,VOLUME 11,ISSUE 04,ISSN: 2278-0181

4.      Detty M Panicker, Radhakrishnan B ,Nidhin T.G, Dr. L. Padma Suresh,” Traffic Density Analysis on Highway  Using Marr-Hildreth Operator”, ICETT IEEE CONFERENCE,OCT 21,2016, Page 1-7, INSPEC Accession Number: 16726863, DOI: 10.1109/ICETT.2016.7873749. 

5.      Detty  M  Panicker,  Radhakrishnan  B,”  A  Comparative  Analysis  of  Digital  Image  Processing Techniques on Real Time Traffic Control Systems”, International Journal  of Computer Science  and  Network  (IJCSN),  Volume  5,  Issue  1,  February  2016,  ISSN  (Online)  :  22775420,pp 115-120.

Workshops/ Faculty Development Programme:

·         One week Faculty Development Programme on  “ AI Trends and industry Use Cases - Contemporary and Future"at Federal Institute of Science  and Technology from 25/09/2023 to 30/09/2023.

·         One week Faculty Development Programme on  “ Moodle based Learning Management System & Course Design"at Faculty Develpment centre from 03/05/2023 to 09/05/2023.

·         3 days  Faculty Development Programme on  “Strategies for Teaching - Learning in the Context of NEP 2020" at MBCCET,Peermade from 30/01/2023 to 01/02/2023.

·         Five Day Faculty Develooment workshop (Hybrid) on "Bridging the reading & Learning Gaps through Modern Teaching Strategies, AI Integration and NLP at HKBK Bangalore from 25/03/2025 to 29/03/2025.