Profile Picture
Dr. Gee Varghese Titus

Professor

Date of Joining : 03-01-2005

AICTE Id : 1-445395483

https://geevarghesetitus.amaljyothi.ac.in

Areas of Interest

  • Image Processing.
  • Computer Network.
  • Network Security.
  • Wired & Wireless Communication
  • Automotive Electronics

Area of Specialization

  • Network Communication & Security

Kallodikuzhiyil House, Edanad PO, Chengannur, Chengannur, Kerala - 689123 Kerala

Dr. Gee Varghese Titus

Professor, Electronics & Communication Engineering

Date of Joining : 03-01-2005



CT-MTVLSI2025-27-S1, Class Committee Chairman,Dept. Quality Assurance Cell Member (DQAC),Dept. Documentation Officer,Ph.D. Guide at KTU,IQAC Coordinator
  • Ph. D- Signal Processing - VIT Vellore (2019)
  • M.Tech- Network Communication and Security - DR.MGR Educational and Research Institute(2007)
  • B.Tech- Electronics And Communication - CUSAT (2000)

  • Professor in Amal Jyothi College of Engineering from 2022 onwards
  • Associate Professor in Amal Jyothi College of Engineering from 2018 onwards
  • Assistant Professor in Amal Jyothi College of Engineering Kanjirappally from 2007 to 2018
  • Lecturer in Amal Jyothi College of Engineering Kanjirappally from 2005 to 2007
  • Lecturer in St. Joseph College of Engineering &Technology, Palai 2004
  • Lecturer in College of Engineering, Kallooppara from 2001 to 2004
  • IEEE International Conference Reviewer (PiCET-2024), awarded IEEE
  • Best Faculty Award, awarded Amal Jyothi College of Engineering
  • Best Faculty Award, awarded Amal Jyothi College of Engineering
  • Best Faculty Award, awarded Amal Jyothi College of Engineering

  • Gradient-adaptive Nonlinear Sharpening for Dental Radiographs ,2023, International Journal of electrical and Computer engineering Systems
  • Restoration of dental radiographs corrupted by quantum noise via a noise-adaptive sub-global weighted sum of radiometrically similar pixels ,2023, International Journal of Computational Biology and Drug Design
  • Context adaptive residual coding for efficient compression of MCEEG employing wave atom transforms ,2018, Multidimensional Systems and Signal Processing
  • Effective EMG denoising using a hybrid model based on WAT and GARCH ,2018, Biomedical Signal Processing and Control
  • A Simple but Efficient EEG Data Compression Algorithm for Neuromorphic Applications ,2018, IETE Journal of Research
  • An ICA based head movement classification system using video signals ,2017, Journal on Multimodal User Interfaces
  • A simple and efficient algorithm operating with linear time for MCEEG data compression ,2017, Australasian Physical & Engineering Sciences in Medicine
  • Hybrid Deep Learning Models for Hand Gesture Recognition with EMG Signals ,2024, Shivamogga, India
  • Transformer Models for Recognizing Abusive Language An investigation and review on Tweeteval and SOLID dataset ,2023, Trichirappalli, India
  • Memory Based Online Fake News Detection System ,2022, Kochi, India
  • Real-Time Drowsiness Detection Using Fusion of Facial Features ,2022, Kochi, India
  • Karhunen-loeve transform for sleep spindle detection ,2016, 3rd International Conference on Devices, Circuits and Systems (ICDCS), 2016
  • Photoplethysmogram (PPG) signal analysis and wavelet de-noising ,2014, 2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD)
  • Data hiding using motion histogram ,2013, 2013 International Conference on Computer Communication and Informatics (ICCCI)
  • Channel Capacity Analysis of Railway Power Lines ,2011, International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT)
  • Investigation of Channel Capacity of Railway Power Lines for Track and Level Cross Monitoring Application ,2011, Second International Conference on Advances in Communication, Network, and Computing, CNC 2011, Bangalore, India, March 10-11, 2011

Book / Chapters Published

SI# Title of the book Publisher Year ISBN No
1.

Emerging Technologies for Sustainability

CRC Press: Taylor and Francis

2020

978-0429353628

SI# Title of the paper/article Publisher Year(dd-mm-yy) Page (From-To) ISBN No
1. Computational Mechanisms for Exploiting Temporal Redundancies Supporting Multichannel EEG Compression Springer Nature, Singapore 09-10-2025 245-268 978-981-13-7141-7
2. Comparative Study of CNN and LSTM-Based Hand Gesture Classification Using EMG Signals CRC Press 09-10-2025 83-96 9781003307778

Training programs attended

  • Administrative Training Program OBE-Computation & Attainments and Accreditation Workspace in AES, Amal Jyothi College of Engineering, Amal Jyothi College of Engineering, from 2022-12-12 to 2022-12-16
  • Basics and Best practices for Fruitful Research, Amal Jyothi College of Engineering, Amal Jyothi College of Engineering, from 2022-01-10 to 2022-01-14
  • Administrative Training Program - Moodle LMS Management, Marian College Kuttikkanam (Autonomous), Amal Jyothi College of Engineering, from 2020-07-16 to 2020-08-04
  • Administrative Training Program Essentials of OBE and NBA / NAAC documentation, Amal Jyothi College of Engineering, Amal Jyothi College of Engineering, from 2019-08-26 to 2019-08-30
  • Empowering Educators: A Comprehensive Approach to Mentor- Mentee Schemes, Blooms Taxonomy, and ICT in Teaching, Amal Jyothi College of Engineering, Amal Jyothi College of Engineering, from 2018-12-26 to 2018-12-30

Current Responsibilities

  • S2 Class Committee Chairman, from 01-08-2023, to 14-02-2024, To Monitor the academic activities
  • Class Committee Chairman
  • Dept. Quality Assurance Cell Member (DQAC)
  • Dept. Documentation Officer
  • Ph.D. Guide at KTU
  • IQAC Coordinator

Specialized Trainings

  • ATAL FDP on Strategic Approaches and Emerging Trends in Data Science, FEDERAL INSTITUTE OF SCIENCE AND TECHNOLOGY (FISAT), 2025-02-10
  • EXPLORING COMPUTATIONAL INTELLIGENCE, VIT-AP University, Amaravati, 2024-07-16
  • Data Visualization and Analytics with Excel, Power BI, Tableau and Generative AI, Marian College Kuttikanam, 2024-07-05


© 2025 Amal Jyothi College of Engineering