Dr. Anitha Jandhyala
Associate Professor
- Teaching
About
Dr. Anitha Jandhyala is an accomplished academic with over 22 years of teaching experience in Mathematics and allied disciplines. She holds a Ph.D. from Vellore Institute of Technology, where her research focused on “Multi-Objective Optimization using Statistical and Soft Computing Techniques in Electro Discharge Machining.” Her academic journey includes a Master’s in Mathematics from JNTU Hyderabad, an M.Phil. from Madurai Kamaraj University, a B.Ed. from Bangalore University, and an MBA from Madurai Kamaraj University. Dr. Anitha has previously served as an Assistant Professor at PES University and as an Adjunct Professor at New Jersey City University, USA, where she taught Pre-Calculus and Calculus to management students. Since January 2021, she has been serving as an Associate Professor at PES University, Bangalore. Her teaching interests span mathematics education, optimization techniques, and the integration of statistical and computational methods in applied research.
Adjunct Professor, New Jersey City University, New Jersey, U.S.A, 2018 - 2020
Assistant Professosr, PES University, Banlore, 2008 - 2017
Sr. Lecturer, T.John College, Bangalore, 2005 - 2008
Lecturer, Nalanda College, Hyderabad, 2000 - 2004
Business Mathematics
Business Statistics
Numerical methods
Engineering Mathematics
Operations Research
Business Research methods
Quantitative Techniques for Business
Data Analysis & Decision Making
Pre-calculus for Business
Calculus for Business
Time Table coordinator
Curriculum committee coordinator
Multi-objective optimization using Statistical and Soft Computing Techniques in Electro Discharge Machine
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Expert Judgement Method to Determine Attribute Weights for Effectively teaching Mathematics in High Schools, International Journal of Mathematics Trends and Technology, 71-76, Volume 66, Issue 3- March 2020.
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A Comparative Analysis of Multi-Criteria Decision-Making Techniques to Optimize the Process Parameters in Electro Discharge Machine, 3rd International Conference on Innovations in Mechanical Engineering (ICIME-2020). Accepted for publication as a book chapter in Lecture Notes in Mechanical Engineering (Springer).
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Optimization of Process Parameters in Electro Discharge Machine using Standard Deviation and TOPSIS method, International Conference on Applications of fluid-Dynamics, ICAFD-2019 AIP Conference Proceedings, Volume 2177, Issue 1, 10.1063/1.5135182
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Optimization of EDM Process Parameters using Standard Deviation and Multi-Objective Optimization on the basis of Simple Ratio Analysis (MOOSRA), book chapter in International Conference on Intelligent Manufacturing and Energy Sustainability pp 655-662 (Springer).
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Optimization of Process Parameters in Electro Discharge Machine using Standard Deviation, MULTIMOORA and MOOSRA methods, book chapter in Innovative Product Design and Intelligent Manufacturing Systems, pp 619-629. (Springer)
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Optimization of Process Parameters in Electro Discharge Machine using Standard deviation and MOORA method, in the 4th international conference on Materials and manufacturing engineering-2019. Accepted for publication as a book chapter in Lecture Notes in Mechanical Engineering (Springer) ISSN: 2195-4356, which is indexed by SCOPUS.
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Multi-attribute decision making of Electric Discharge Machining on AISI-D2 steel using TOPSIS method in International Journal of Pharmacy and Technology. March,2018, volume .10/Issue no. 1/ 31188-31201.
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Optimization of Surface Roughness in EDM for D2 Steel by RSM-GA Approach Universal Journal of Mechanical Engineering 2 (6), 205-210, 2014.
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Multi-objective optimization of Surface Roughness and Material removal rate in EDM steel by RSM-GA approach, In International Journal of Pharmacy and Technology. June,2016, volume .8/Issue no. 2/ 12197-12206.
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Comparison of Neural Network Learning Algorithms for prediction of Surface roughness in EDM, Journal of Mechatronics and Intelligent Manufacturing, Volume 3, No.12,2012.
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Multi-Objective optimization of Electrical Discharge Machining Processes using Artificial Neural Network in Jordon Journal of Mechanical & Industrial Engineering Volume10, Number 1, March 2016, Pg 11-18.
Education
Ph.D, Vellore Institute of Technology, 2020
M.Phil, Madurai Kamaraj University, 2008
M.B.A, Madurai Kamaraj University, 2011
B.Ed, Bangalore University, 2007
M.Sc, Jawahar Lal Nehru Technological University, 2000