Papers
7
Total Citations
306
H-Index
5
About
Rituparna Datta is a computational engineer and applied researcher whose work spans evolutionary optimization, constrained multi-objective algorithms, and intelligent robotic systems design. With a career built at the intersection of optimization theory and practical engineering applications, Datta has made significant contributions to surrogate-assisted and constraint-handling evolutionary strategies. His 2016 paper on surrogate-assisted evolution for constrained multi-objective optimization has garnered 111 citations, establishing him as a notable voice in the field, while his 2014 book *Evolutionary Constrained Optimization* (57 citations) serves as a foundational reference for researchers navigating constraint-handling methodologies. A recurring theme across Datta's portfolio is the intelligent design of robotic grippers. His 2015 study applying multiobjective genetic algorithms to gripper optimization (97 citations) addressed the complex, nonlinear challenges of high-precision micro-machining automation—a problem his earlier 2011 work began formulating. He has further extended this domain into piezoelectric actuation modeling and bioinspired gripper concepts drawn from parasitic organisms. Collectively, his publications reflect a commitment to bridging mathematical rigor with real-world robotic engineering, making his research particularly valuable for students and practitioners working in design automation and evolutionary computation.
Research Focus
Key Achievements
Top Papers
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- 3Evolutionary Constrained Optimization57 citations · 2014
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