Vikas Palakonda
Post-Doctoral Researcher
Intro
What I am all about.
Currently I am working as a Post-Doctoral Researcher in Intelligent ICT with Vision & Reinforcement Learning Laboratory in Kyungpook National University, Daegu, South Korea. My research interests include Computational Intelligence, Evolutionary Computation, Complex Network Analysis, Reinforcement Learning, and Computer Vision. Core responsibilities are identifying research problems; designing studies; assisting, writing reports and papers. My doctoral dissertation examines multi-objective evolutionary algorithms with application to community network detection.
Skills
Expertise
Programming languages
MATLAB and Python
Other Tools
Inkscape and Adobe Illustrator
Research Interests
1
Computational Intelligence
2
Evolutionary Computation
3
Reinforcement Learning
4
Computer Vision
5
Complex Network Analysis
Work Experience
Apr 2021 – Present
Post-Doctoral Researcher
Intelligent ICT with Vision & Reinforcement Learning Laboratory
Kyungpook National University, Daegu, South Korea
Sept 2015 – Feb 2021
M.S and PhD Researcher
Evolutionary Computation and Intelligent Systems Laboratory
Kyungpook National University, Daegu, South Korea
Education
Academic Qualification
Sep 2017 – Feb 2021
Ph.D., Electronic and Electrical Engineering
Kyungpook National University
Daegu, South Korea
Thesis:
Multi-objective Evolutionary Algorithms with Application to Community Network Detection
GPA: 3.8/4.3
Sep 2015 – Aug 2017
M.S., Electronic Engineering
Kyungpook National University
Daegu, South Korea
Thesis:
Sorting based Techniques Pareto-dominance based Multi-objective Optimization
GPA: 3.8/4.3
Aug 2011 – Apr 2015
B.Tech, Electronics & Communication Engineering
GMR Institute of Technology, Affiliated to Jawaharlal Nehru Technological University
Kakinada, India
Aggregate: 83.07%
Teaching Experience
Mar 2017 – Jun 2017
Teaching Assistant, “Logic Circuits”
School of Electronics Engineering, Kyungpook National University, South Korea
This course covers classical hardware design for both combinational and sequential logic circuits.
Mar 2018 – Jun 2018
Teaching Assistant, “Signals and Systems”
School of Electronics Engineering, Kyungpook National University, South Korea
This course presents an introduction to the fundamental concepts of continuous and discrete-time signals and systems.
Sep 2015 – Jan 2016
Teaching Assistant, “How to Write Research Papers”
School of Electronics Engineering, Kyungpook National University, South Korea
This course improves the paper writing abilities of the students.
Intro
What I am all about.
Journals:
- Vikas Palakonda and Rammohan Mallipeddi, "Pareto Dominance-Based Algorithms With Ranking Methods for Many-Objective Optimization," IEEE Access, vol. 5, pp. 11043-11053, 2017 (IF: 3.475).
- Vikas Palakonda, Rammohan Mallipeddi, “An Evolutionary Algorithm for Multi and Many-Objective Optimization with Adaptive Mating and Environmental Selection,” IEEE Access, vol. 8, pp. 82781-82796, 2020 (IF: 3.475).
- Vikas Palakonda, Rammohan Mallipeddi, and P N Suganthan, “An Ensemble Approach with External Archive for Multi- and Many-objective Optimization with Adaptive Mating Mechanism and Two-level Environmental Selection”, InformationSciences, 2020 (In press, IF: 5.910).
Conferences:
- Vikas Palakonda and Rammohan Mallipeddi, "Rank-based Nondomination Set Identification with Preprocessing," in 7th International Conference on Advances in Swarm Intelligence, ed, 2016, pp. 150-157.
- Vikas Palakonda and Rammohan Mallipeddi, “Iterative sorting based Nondominated sorting for bi-objective optimization”, in 1st International conference on Smart Computing and Informatics, 2017.
- Vikas Palakonda, Trinadh Pamulapati, Rammohan Mallipeddi, Partha P. Biswas, and Kalyana. C. Veluvolu, "Nondominated sorting based on sum of objectives," in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, pp. 1-8.
- Samira Ghorbanpour, Vikas Palakonda, and Rammohan Mallipeddi, "Ensemble of Pareto-based Selections for Many-objective optimization," in 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018, pp. 981-988.
- Vikas Palakonda, Samira Ghorbanpour, and Rammohan Mallipeddi, "Pareto dominance-based MOEA with multiple ranking methods for many-objective optimization," in 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018, pp. 958-964.
- Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mortaza. Z. Ali, Kalyana C. Veluvolu, and P N Suganthan, "Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application," in 2018 IEEE Congress on Evolutionary Computation (CEC), 2018, pp. 1-7.
- Vikas Palakonda and Rammohan Mallipeddi, "MOEA with Approximate Nondominated Sorting Based on Sum of Normalized Objectives," in Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, ed: Springer, 2019, pp. 70-78.
- Vikas Palakonda and Rammohan Mallipeddi, "KnEA with Ensemble Approach for Parameter Selection for Many-Objective Optimization," in International Conference on Bio-Inspired Computing: Theories and Applications, 2019, pp. 703-713.
- Fitria W. Ramlan, Vikas Palakonda, and Rammohan Mallipeddi, "Differential Evolutionary (DE) Based Interactive Recoloring Based on YUV Based Edge Detection for Interior Design," in 2019 International Conference on Information and Communication Technology Convergence (ICTC), 2019, pp. 597-601.
- Fitria W. Ramlan, Vikas Palakonda, Rammohan Mallipeddi “Hierarchical Approach Based Evolutionary Algorithm for Many-Objective Optimization”. International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2019.
- Samira Ghorbanpour, Vikas Palakonda, Fitria W. Ramlan, Rammohan Mallipeddi. “An Experimental Short Review on Color Image Quantization.” International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2019.
- Samira Ghorbanpour, Vikas Palakonda, Rammohan Mallipeddi. “Multi-Objective Optimization of SVM Parameters for Meta Classifier Design.” International conference on soft computing, 2019.
- Jamshid Yusupov, Vikas Palakonda, Rammohan Mallipeddi, Kalyana C Veluvolu. “Multi-objective Evolutionary Algorithm based on Ensemble of Initializations for Overlapping Community Detection.” International Conference on Electronics, Information, and Communication (ICEIC) 2021.
Personal Activities
- Reviewer of IEEE Access (March 2019 - Present).
- Reviewer of Swarm and Evolutionary Computation (August 2020 - Present).
- Reviewer of Engineering Optimization (May 2019 - Present).
Awards and Achievements
KNU International Graduate Scholarship (KINGS)
Declaration
I do hereby declare that the above furnished information is true and correct to best of my knowledge.
Contact
Call me, maybe.