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Dr. K. Venkatesan

Assistant Professor (Sr. Gd.), Department of Computer Science and Engineering, School of Computing, Chennai

Qualification: Ph.D., M.E., B.E.
k_venkatesan@ch.amrita.edu
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Research Interest: Machine learning, Artificial intelligence-based DWDM design, Optical system design, IoT Enabled Embedded and Security System, Nonlinearities in fiber optic system, Knowledge-driven Embedded Security Design, Blockchain security, Consensus Algorithms

Bio Publications Education Professional Certifications Project Workshop Awards Courses Taught
Bio

Dr. K. Venkatesan currently serves as Assistant Professor (Sr. Gd.), in the Department of Computer Science and Engineering, School of Computing, Chennai Campus.

He has more than fifteen years of Teaching and Research Experience. He has published 25+Research Articles in Peer-reviewed International Journals (SCI, SCIE, and Scopus indexed journal) with the highest Impact Factor of 4.3 and 2 Book Chapters. In addition to that, he obtained 4 Indian Patents (Granted) and 2 International patents (Granted), attended various Flagship International Conferences from foreign countries, Faculty Development programs, Workshops, and Training Programs. Presently, he is an Active Reviewer for many journals. He is also served as a session chair for international Conferences, Ph.D Thesis Evaluator for National and International Universities.

Publications

Journal Article

Year : 2025

Multimodal Fusion and Cutting-Edge AI-Based Smart Vending Machines for Electronic Component Management

Cite this Research Publication : M. Karthiga, Syarifah Bahiyah Rahayu, E. Suganya, S. Sankarananth, S. Sountharrajan, K. Venkatesan, Multimodal Fusion and Cutting-Edge AI-Based Smart Vending Machines for Electronic Component Management, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2024.3523774

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2025

Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection

Cite this Research Publication : M. Muthulakshmi, K. Venkatesan, Syarifah Bahiyah Rahayu, K. L. Nayana Sree, Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3581271

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

The Impact and Integration of Cloud Computing for Enhanced Patient Care and Operational Efficiency

Cite this Research Publication : M. Prabu, M. Diviya, R. Bhuvaneswari, Doddi Sreenija Reddy, K. Venkatesan, Arul Kumar Natarajan, The Impact and Integration of Cloud Computing for Enhanced Patient Care and Operational Efficiency, Advances in Medical Technologies and Clinical Practice, IGI Global, 2024, https://doi.org/10.4018/979-8-3693-2901-6.ch016

Publisher : IGI Global

Year : 2024

Comparison Analysis: Chest X-ray Images based Pneumonia Detection using VGG16 and ResNet50 Convolution Neural Network Model

Cite this Research Publication : Nur Izdihara , Syarifah Bahiyah Rahayua,b,* K.Venkatesana “Comparison Analysis: Chest X-ray Images based Pneumonia Detection using VGG16 and ResNet50 Convolution Neural Network Model" –Got best paper Award- Accepted for publication in International Journal on Informatics Visualization (JoIV) (Q3-Accepted for Publication)

Year : 2024

Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques

Cite this Research Publication : Venkatesan, K., Rahayu, S.B. Blockchain security enhancement: an approach towards hybrid consensus algorithms and machine learning techniques. Scientific Reports 14, 1149 (2024). https://doi.org/10.1038/s41598-024-51578-7". Nature publisher. (Q1-4.6)

Year : 2023

Intrinsic and Extrinsic Approaches to Mitigate FWM

Cite this Research Publication : Dr.R.Avudaiammal a, Dr. J.Madhavan b, Dr.K.Venkatesan.c* Dr. Syarifah Bahiyah Rahayuc “Intrinsic and Extrinsic Approaches to Mitigate FWM” Journal of Optoelectronics and Advanced Materials, Rapid Communications Vol. 17, No. 11-12, November-December 2023, p. 490-501 (Q3-0.441) (Annexure-I).

Year : 2022

Green channel DWDM design using Optimized CFBG

Cite this Research Publication : K. VENKATESAN, A. CHANDRASEKAR, P. G. V. RAMESH, “Green channel DWDM design using Optimized CFBG”, Optoelectronics and Advanced Materials - Rapid Communications. Vol. 16, No. 5-6, May-June 2022 pp.200-208 (Q3-0.441)

Year : 2022

On-demand DWDM design using machine learning

Cite this Research Publication : Venkatesan. K., Chandrasekar, A. & Ramesh, P.G.V. "On-demand DWDM design using machine learning". Soft Comput 26, 6577–6589 (2022). https://doi.org/10.1007/s00500-022-07181-x (Q2-3.643)

Year : 2021

Smart Industrial Pollution Monitoring and Controlling

Cite this Research Publication : VENKATESAN.K, Dhayapraveen.R, Sanjay.S, "Smart Industrial Pollution Monitoring and Controlling" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE) 2021/3 Volume 10 Issue 3 Pages 868-874 DOI:10.15662/IJAREEIE.2021.1003055.

Year : 2021

Theoretical investigation for optimization of FWM effects for 1Tb/s ultra-band DWDM system

Cite this Research Publication : K. VENKATESAN, A. CHANDRASEKAR, P. G. V. RAMESH, C. SELVAKUMAR, “Theoretical investigation for optimization of FWM effects for 1Tb/s ultra-band DWDM system”, Optoelectronics and Advanced Materials - Rapid Communications, 15, 3-4, March-April 2021, pp.148-156 (2021). (Q3-0.441

Year : 2021

Supervised regression modeling for mitigation of four-wave mixing in dense wavelength-division multiplexing systems

Cite this Research Publication : VENKATESAN.K, Chandrasekhar A., and Ramesh P. G. V. “Supervised regression modeling for mitigation of four-wave mixing in dense wavelength-division multiplexing systems”. Ukr.J.Phys.Opt. 22: 12 – 30. Doi: 10.3116/16091833/22/1/12/2021 (2021). (Q3-1.97)

Year : 2020

Analysis of EDFA Parameters Amenable for Ultra High Bitrate Based DWDM System

Cite this Research Publication : Srilekha M.K.*, Venkatesan K, , Ramesh P. G.V, , Analysis of EDFA Parameters Amenable for Ultra High Bitrate Based DWDM System, International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, 2020, https://doi.org/10.35940/ijitee.f3711.049620

Publisher : Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Year :

DWDM reconstruction using supervised and unsupervised learning approaches

Cite this Research Publication : K. VENKATESAN, A. CHANDRASEKAR, P. G. V. RAMESH, “DWDM reconstruction using supervised and unsupervised learning approaches”, Optoelectronics and Advanced Materials - Rapid Communications, 15, 9-10, September-October 2021, pp.459-470 (2021). (Q3-0.441)

Conference Proceedings

Year : 2024

A Squeeze-Excitation ResNet Approach for Effective Classification of Parasitic Eggs

Cite this Research Publication : Muthulakshm M, K Venkatesan, Syarifah Bahiyah Rahayu, Karthickeien Elangovan, A Squeeze-Excitation ResNet Approach for Effective Classification of Parasitic Eggs, 2024 International Visualization, Informatics and Technology Conference (IVIT), IEEE, 2024, https://doi.org/10.1109/ivit62102.2024.10692960

Publisher : IEEE

Year : 2021

An Exploration of Robotic Process Automation in all Spans of Corporate Considerations

Cite this Research Publication : S. Balakrishnan, M. S. S. Hameed, K. Venkatesan and G. Aswin, "An Exploration of Robotic Process Automation in all Spans of Corporate Considerations," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 1881-1884, doi: 10.1109/ICACCS51430.2021.9441996.

Publisher : IEEE

Year : 2021

Interaction of Spatial Computing In Augmented Reality

Cite this Research Publication : S. Balakrishnan, M. S. S. Hameed, K. Venkatesan and G. Aswin, "Interaction of Spatial Computing In Augmented Reality," 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 1900-1904, doi: 10.1109/ICACCS51430.2021.9442010.

Year : 2021

An Embarking User-Friendly Palm print Biometric Recognition System with Topnotch Security

Cite this Research Publication : S. Balakrishnan, Venkatesan. K. and M. S. S. Hameed, "An Embarking User-Friendly Palm print Biometric Recognition System with Topnotch Security," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), 2021, pp. 1028-1032, doi: 10.1109/ICICCS51141.2021.9432230.

Conference Paper

Year : 2024

Implementation of Convolutional Neural Network Malarial Cells Detection

Cite this Research Publication : Venkatesan K, Syarifah Bahiyah Rahayu, Muthulakshmi M, Vishnu Priya Velkur, “Implementation of Convolutional Neural Network Malarial Cells Detection”, 2024 IEEE International Conference on Computer, Communication and Internet of things - (IC3IoT - 2024), Sri Sairam Engineering College, Tambaram, Chennai, India, 17th& 18th April, 2024, pp. 1-6.

Publisher : IEEE

Book Chapter

Year : 2024

W@RK: Attendance Application Framework Using Blockchain Technology

Cite this Research Publication : Dr. Syarifah Bahiyah Rahayu1 Dr.K.Venkatesan, W@RK: Attendance Application Framework Using Blockchain Technology": Got accepted for publication in Springer “Lecture Notes on Data Engineering and Communications.”(Q3-Accepted for Publication)

Year : 2023

Performance Analysis of Fiber-Optic DWDM System

Cite this Research Publication : Venkatesan, K., ChandraSekar, A., Ramesh, P.G.V. (2023). Performance Analysis of Fiber-Optic DWDM System. In: Subhashini, N., Ezra, M.A.G., Liaw, SK. (eds) Futuristic Communication and Network Technologies. VICFCNT 2021. Lecture Notes in Electrical Engineering, vol 995. Springer, Singapore. https://doi.org/10.1007/978-981-19-9748-8_10 (Q4-Scopus)

Year : 2022

Parametric Optimization and FWM Mitigations in 64-Channel DWDM System

Cite this Research Publication : VENKATESAN.K. Chandrasekar A., Ramesh P.G.V. (2022) “Parametric Optimization and FWM Mitigations in 64-Channel DWDM System”. Futuristic Communication and Network Technologies. Lecture Notes in Electrical Engineering, vol 792. Springer, Singapore. https://doi.org/10.1007/978-981-16-4625-6_14.

Education
2016 – 2022 Ph.D.
Anna University, Chennai
Dissertation Title: Investigations on Design of Knowledge-Driven DWDM System for FWM Mitigation.
2009 – 2011 M.E. (Embedded System Technologies)
Anna University, Chennai
2003 – 2007 B.E. (Electronics and Communication Engineering)
Anna University, Chennai
Professional
March 2024 – Present Assistant Professor (Sr. Gd.)
Department of Computer Science and Engineering,
Amrita School of Computing,
Amrita Vishwa Vidyapeetham, Chennai
July 2023 – March 2024 Post-Doctoral Researcher
National Defence University of Malaysia (UPNM),
Kem Sungai Besi, 57000 Kuala Lumpur
June 2012 – June 2013 Assistant Professor
St. Joseph’s College of Engineering,
Jeppiaar Nagar, OMR, Chennai
June 2011 – May 2012 Assistant Professor
Dhanalakshmi College of Engineering,
Near Tambaram, Chennai
June 2007 – May 2009 Lecturer
P.B. College of Engineering,
Irungattukottai, Chennai
Certifications

Cloud Certifications

Cloud Module Certified Academy Credential ID
Introduction to Cloud Computing Simplilearn 3442115
AWS Technical Essentials Simplilearn – AWS 3516858
AWS Solution Architect (SAA-C02) Simplilearn – AWS 3516711
Microsoft Azure Fundamentals Simplilearn – Microsoft Azure 3516796
GCP Architect Simplilearn – Google 3577449
Microsoft Azure Administrator (AZ-104) Simplilearn – Microsoft Azure 3684805

Industrial Certifications

Course Module Certified Academy
Advance Diploma in Internet of Things Alison Education Company
Internet of Things
  • Alison Education Company
  • CISCO Networking Academy
Machine Learning and Deep Learning
  • Alison Education Company
  • MathWorks Training Services
  • TATA Capability Development Services
High Impact Teaching Skills Dale Carnegie Training and Professional Development Academy
Research Publication Module Elsevier Researcher Academy
Project

Research Project (Completed)

Title: Advanced Healthcare through Federated Learning: A Unified Framework for Secure and Intelligent Patient-Centric Solutions
Funding Agency: Deanship of Research and Graduate Studies, King Khalid University
Grant Number: RGP1/261/45
Project Duration: April 2024 – March 2025
Total Funding: USD 23,000
Co-PI: Dr. K. Venkatesan, Assistant Professor (Senior Grade), Department of Computer Science and Engineering, Amrita School of Computing, Chennai.
University: King Khalid University, Saudi Arabia

Research Project (Ongoing)

Title: Enhancing the Efficiency of Blockchain Ecosystem Security Based on Temporal Dynamics Consensus Algorithm for Malicious Attacks Detection
Grant Number: FRGS/1/2024/ICT07/UPNM/02/1/Co-PI/AMRITA
Centre: Cyber Security & Digital Revolution Industry Centre, National Defence University of Malaysia (UPNM), Kuala Lumpur, Malaysia
University: National Defence University of Malaysia (UPNM), Kuala Lumpur, Malaysia

Research Supervision

Anna University, Chennai
Faculty Number: 4130021
Department: Faculty of Electrical Engineering
Research Area: Nonlinear Optics, Optical System Design, Machine Learning, Internet of Things (IoT), Cloud Computing, Blockchain Security, and Consensus Algorithms.

Amrita Vishwa Vidyapeetham, Chennai
Faculty ID: 51241005
Department: Amrita School of Computing
Research Area: Nonlinear Optics, Optical System Design, Machine Learning, Internet of Things (IoT), Cloud Computing, Blockchain Security, and Consensus Algorithms.
No. of Students: 03
Post-Doctoral Fellow: 01

National Defence University of Malaysia (UPNM)
Department: Computer Science and Faculty of Cyber Defence
NEC Code: 0613
Research Area: Nonlinear Optics, Optical System Design, Machine Learning, Internet of Things (IoT), Cloud Computing, Blockchain Security, and Consensus Algorithms.
No. of Students: 02

Workshop

Workshop/ Seminar Organized

S.No Type of Programme organized (Workshop/ FDP/ Seminar) Title of the Programme Duration Date
1. National Level Workshop Image Processing and Machine learning using Python 2 days 07-03-2019 & 08-03-2019
2. Guest lecture Electric Vehicles: Indian Perspective and R&D Opportunities 1 day 26.07.2019
3. Guest lecture Benefits towards society 1 day 24-02- 2020
4. National Workshop “Research Scopes in Remote Sensing” 2 days 24.06.2020 to 26.06.2020
5. National Level Online School event Seek Fun 2 days 25.07.2020 and 26.07.2020.
6. Online National level school event “young talent” 1 day 10.06.2020.
7. Conducted Virtual Workshop on “Conducted from for faculties and research scholar. Pragmatic Way of Understanding ANN & Fuzzy Control 2 days 29.04.2021 to 30.04.2021
8. online Guest Lecture IoT in Healthcare and Automobile Industry” 1 day 14-06-2021
9. online Guest Lecture “Industry trends in cloud computing Application IoT in Healthcare and Automobile Industry” 1 day 25-06-2021
10. Online Guest Lecture “Trends and Opportunities in Autonomous Vehicle 1 day 15-07-2021
11. Virtual Workshop “INDUSTRY 4.0” 2 days 28th & 31st August 2021
12. Workshop Cyber Day 2 days 15/11/2023 & 16/11/2023

Invited Talk

Delivered an Expert Talk on “ Hybrid Consensus Algorithms and Machine Learning Integration” at the 11-day International Workshop on Cyber Security held at the Department of Data Science, Dwarka Doss Goverdhan Doss Vaishnav College, Chennai.

Delivered an expert talk as a Keynote speaker on “Blockchain and its future Directions” at the International Conference on Blockchain and Artificial Intelligence (ICBCAI-2024) on 23-24 January 2024 held at the Department of Information Technology and BCA, Dwarka Doss Goverdhan Doss Vaishnav College, Chennai.

Awards
  • Award: Received a golden award for the research product “Student Attendance Application using Emergence Technology for Hybrid Learning” at InTeLex 2023.
  • Patent: “System with Integration of Hybrid Consensus Algorithms and Machine Learning Algorithms For Security Enhancement In Blockchain Network” No: Ui2024005524
Courses Taught
  1. Optical Communication
  2. Embedded and Real-Time Systems.
  3. Digital signal processing,
  4. Wireless Communication
  5. Signals & system,
  6. Principles of Management
  7. Advanced Digital signal processing
  8. Electronic devices and circuits
  9. Internet of Things
  10. Cybersecurity essentials
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