Nature Inspired computing represents the umbrella of various studies of Evolutionary Algorithms, Swarm Intelligence, Social and Behavioral Algorithms, Computing, Arithmetic and Biology within the recent years. Nature Inspired [or Bio-Inspired] computing optimization algorithms is a rising approach that relies on the principles and inspiration of the biological evolution of nature to develop new and strong competitive techniques. Recently, the bio inspired optimization algorithms are recognized in machine learning to handle the optimum solutions of advance issues in science and engineering. However, these issues are sometimes nonlinear and restricted to multiple nonlinear constraints that propose several problems. To tackle the issues of the normal optimization algorithms, the recent trends tend to use bio-inspired optimization algorithms that represent a promising approach for obtaining the solution of engineering real life problems.

Nature Inspired Optimization Algorithms consists of but not limited to

• Genetic Algorithm

• Ant colony algorithm

• Particle swarm algorithm

• Monkey algorithm

• Salp Swarm Algorithm (SSA)

• Grasshopper Optimization Algorithm (GOA)

• Fish Swarm Algorithm (FSA),

• Cohort Intelligence,

• Grey Wolf Optimization (GWO) algorithm.

• Bumble bees mating optimization BBMO

• Honey-Bees Mating Optimization (HBMO) Algorithm

• Cuckoo Search (CS)

The Application areas would be but not limited to

• Engineering Process Optimization

• Parameter Optimization in Turning Process

• Parameter Optimization in Milling Process

• Parameter Optimization in Deep Drawing Process

• Parameter Optimization in Drawing Processes

• Parameter Optimization in Design Of Mechanical System

• Shape and Topology Optimization

• Optimization For VMAT Plan For Liver Cancer (Health Care Application)

• Design Parameter Optimization of Mechanical Component Designs

• Machine Vibration Dampening System

• Optimum Bone Design (Health Care)

• Optimization of Parameters in Wire Cut EDM Process.

• Optimum Slice for 3D Printing

• Robotic Trajectory optimization

• Orthodontics

• Medical Equipment Design and Optimization

• Medical Instruments Design and Optimization

Research Group Members :

Solar Energy, one of the major sources of renewable energy could supply all the present and future energy needs of the world on a continuing basis. It is such a huge energy resource that it can be used for any of our everyday needs, including electrical power, heating and cooling, water heating, industrial process heat, cooking, transportation, and even for fuel production. There are a variety of technologies that have been developed to take advantage of this inexhaustible cosmic resource i. e. Solar Energy.

The Futuristic Research on Solar Energy considers two widely recognized classes of technologies for converting Solar Energy into electricity by Solar Photovoltaic (PV) mode and Solar Thermal mode. The major share of energy which is needed in industrial production processes is below 250°C, a temperature level, which could be well supplied by solar thermal technologies.

The broad research areas in Solar Energy Group are available in (but not limited to):

• Thermal Performance and Efficiency Improvement of Flat Plate Solar Collector Using Reflector

• Concentrating Solar Projects Such as Parabolic Trough Concentrator, Scheffler Dish Concentrator, Heliostat System

• Design And Development of Fresnel Lens Concentrator for Domestic Applications

• Measurement of Solar Flux Density Distribution of Different Solar Concentrators

• Design and Development of Solar Cavity Receivers

• Parametric analysis of Solar Concentrator

• Design and Development of Solar Tracking Systems

• Feasibility Study of Solar Photovoltaic System

• Thermal Energy Storage

• Solar Cooling Using Ejector Based System

• Solar Cooling Using Liquid Desiccant Indirect Evaporative System

• Concentrated Solar Energy (CSE) for Industrial Applications

The Vikram Sarabhai Research Group is started by Prof. (Dr.) Mandar M. Lele, Professor, in School of Mechanical Engineering at Dr. Vishwanath Karad MIT World Peace University.
The Vikram Sarabhai Research Group addresses research and thrust areas covering the domains mainly of Energy, Thermodynamics, Heat Transfer, Refrigeration, HVAC, Cryogenics, but not limited to these.

The two flagship projects, Fundamental Mechanical Engineering (Energy, Thermodynamics) and Applied Mechanical Engineering (Heat Transfer, Refrigeration, HVAC, Cryogenics, etc.), serve as healthy Living Lab.This Living Lab platforms focus on system-based research to engage industry developed innovation, focusing on solutions that achieve energy efficiency. This will help society at large in several ways.

A pool of researchers and faculty having comprehensive skillsets and expertise contributes to a collaborative research environment at the School of Mechanical Engineering and joining hands with Industry to come up with possible Commercial Products and Patents.

The broad research areas in Vikram Sarabhai Group are available in (but not limited to):

Research Group Members :