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SREEPRIYA.S
SREEPRIYA.S
ASSOCIATE PROFESSOR &HOD

Area of interest is to devise nonlinear and adaptive techniques to design controllers for nonliear systems. Interseted in application of soft computing techniques in controller design for process controll applications

Qualification details

Qualification

Aggregate CGPA/Percentage

University

College

Year of Passing

 

Undergraduate

 

 

 

B. Tech

Electronics and Instrumentation

80%

CUSAT

College of Engineering, Vadakara

2003

 

Graduate

 

 

 

MTech Control and Instrumentation

9.7 CGPA

FIRST RANK WITH GOLD MEDAL

ANNA UNIVERSITY, CHENNAI

THYAGARAJAR COLLEGE OF ENGINEERING, MADURAI

2010

PHD (DOING)

(Nonlinear Process Control)

NIT, CALICUT

National/International

Conference Proceedings/SCI/Scopus Indexed Journal

Title

Description

Year of Publication

SCI indexed Journal

Adaptive neuro-fuzzy approach to sodium chlorate cell modeling to predict cell pH for energy-efficient chlorate

Sreepriya Sreekumar, Aparna Kallingal & Vinila Mundakkal Lakshmanan (2020

Chemical Engineering Communications,

DOI: 10.1080/00986445.2019.1708740

 

Chemical Engineering Communications,

Taylor & Francis

 

January 2020

Book Chapter

 “Evolutionary algorithm based Robust fixed structure PID controller for pH in Sodium Chlorate process”

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham, AISC, volume 1039-October 2019 - pp 282-291

Sreepriya S, Aparna K , Vinila M L,

 

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham, AISC

October 2019

Book Chapter

Optimization of the parametric model of the Cumene Reactor using Loop shaping methodology and Dynamic modeling of the Reactor”

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham,
AISC, October 2019 - pp 201-208

Vinila M L, Aparna K , Sreepriya S  ,“

 

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham,

October 2019

International Conference

, “Evolutionary algorithm based Robust fixed structure PID controller for pH in Sodium Chlorate process”

Sreepriya S, Aparna K , Vinila M L

 

International Conference on Intelligent Computing, Information and Control Systems (ICICCS) - ICICCS 2019 27-28, June 2019 Malla Reddy College of Engineering

June 2019

International Conference

 

Optimization of the parametric model of the Cumene Reactor using Loop shaping methodology and Dynamic modeling of the Reactor”  ,

Vinila M L, Aparna K, Sreepriya S,“

International Conference on Intelligent Computing, Information and Control Systems (ICICCS) - ICICCS 2019 27-28, June 2019 Malla Reddy College of Engineering

June 2019

International Conference

Covariance Matrix Adapted Evolutionary Strategy Based Design of Robust Optimal Fixed Structure Controller

Sreepriya.s, S.Baskar

IEEE Conference on Computing, Communication and Networking Technologies

July 2010

National Conference

Evolutionary Algorithm based Robust optimal controller design

Sreepriya.S

National Conference on Power conversion and Industrial Drive

March 2010

"Design of Controller for pH in sodium chlorate process" Travancore Cochin Chemicals Ltd, Kerala

International/National

Description

Title

Year

SCI indexed Journal

Adaptive neuro-fuzzy approach to sodium chlorate cell modeling to predict cell pH for energy-efficient chlorate

Sreepriya Sreekumar, Aparna Kallingal & Vinila Mundakkal Lakshmanan (2020

Chemical Engineering Communications,

DOI: 10.1080/00986445.2019.1708740

 

Chemical Engineering Communications,

Taylor & Francis

 

January 2020

International Conference

Covariance Matrix Adapted Evolutionary Strategy Based Design of Robust Optimal Fixed Structure Controller

IEEE Conference on Computing, Communication and Networking Technologies

2010

Book Chapter

 “Evolutionary algorithm based Robust fixed structure PID controller for pH in Sodium Chlorate process”

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham, AISC, volume 1039-October 2019 - pp 282-291

Sreepriya S, Aparna K , Vinila M L,

 

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham, AISC

October 2019

Book Chapter

Optimization of the parametric model of the Cumene Reactor using Loop shaping methodology and Dynamic modeling of the Reactor”

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham,
AISC, October 2019 - pp 201-208

Vinila M L, Aparna K , Sreepriya S  ,“

 

Advances in Intelligent Systems and Computing, vol 1039. Springer, Cham,

October 2019

International Conference

, “Evolutionary algorithm based Robust fixed structure PID controller for pH in Sodium Chlorate process”

Sreepriya S, Aparna K , Vinila M L

 

International Conference on Intelligent Computing, Information and Control Systems (ICICCS) - ICICCS 2019 27-28, June 2019 Malla Reddy College of Engineering

June 2019

International Conference

 

Optimization of the parametric model of the Cumene Reactor using Loop shaping methodology and Dynamic modeling of the Reactor”  ,

Vinila M L, Aparna K, Sreepriya S,“

International Conference on Intelligent Computing, Information and Control Systems (ICICCS) - ICICCS 2019 27-28, June 2019 Malla Reddy College of Engineering

June 2019

Email Phone Date Of Joining
sreepriya.ae@adishankara.ac.in 9562407591 05-01-2005