Ongoing Researches

• Wireless Communications and Networks
• Data Communications
• Machine Learning

• Natural products
• Microbiology
• Public Health

Geopolymer concrete (Concrete without cement), Strengthening of reinforced concrete structures

using polymers, Effect of strengthened structure under static and cyclic loadings, Non-linear finite

element analysis of strengthened structures.

• Theoretical and Computational Mathematics

• Polymer Chemistry
• Food Chemistry
• Natural Product Chemistry

Robotics	Robotics is a branch of engineering that involves the conception, design, manufacture, and operation of robots. This field overlaps with electronics, computer science, artificial intelligence, mechatronics, nanotechnology and bio-engineering.  Science-fiction author Isaac Asimov is often given credit for being the first person to use the term robotics in a short story composed in the 1940's. In the story, Asimov suggested three principles to guide the behavior of robots and smart machines. Asimov's Three Laws of Robotics, as they are called, have survived to the present:    1. Robots must never harm human beings.    2. Robots must follow instructions from humans without violating rule 1.    3. Robots must protect themselves without violating the other rules.                                                                                                                                                            Source:  Google
Sensors and Systems	Sensors are sophisticated devices that are frequently used to detect and respond to electrical or optical signals. A Sensor converts the physical parameter (for example:  temperature, blood pressure, humidity, speed, etc.) into a signal which can be measured electrically. Let’s explain the example of temperature. The mercury in the glass thermometer expands and contracts the liquid to convert the measured temperature which can be read by a viewer on the calibrated glass tube.                                                                                                                                                             Source:  Google
Machine vision	Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. Machine vision refers to many technologies, software and hardware products, integrated systems, actions, methods and expertise. Machine vision as a systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in new ways and apply them to solve real world problems. The term is the prevalent one for these functions in industrial automation environments but is also used for these functions in other environments such as security and vehicle guidance. The overall machine vision process includes planning the details of the requirements and project, and then creating a solution. During run-time, the process starts with imaging, followed by automated analysis of the image and extraction of the required information.                                                                                                                                                        Source:  Wikipedia
Internet of things	The "Internet of things" (IoT) is becoming an increasingly growing topic of conversation both in the workplace and outside of it. It's a concept that not only has the potential to impact how we live but also how we work. But what exactly is the "Internet of things" and what impact is it going to have on you, if any? There are a lot of complexities around the "Internet of things" but I want to stick to the basics. Lots of technical and policy-related conversations are being had but many people are still just trying to grasp the foundation of what the heck these conversations are about. Let's start with understanding a few things. Broadband Internet is become more widely available, the cost of connecting is decreasing, more devices are being created with Wi-Fi capabilities and sensors built into them, technology costs are going down, and smartphone penetration is sky-rocketing. All of these things are creating a "perfect storm" for the IoT.                                                                                                                                                                Source:  Google

• Photovoltaics
• Perovskites
• Photonics
• Thin Films
• Nano-fabrication

• Clinical Survey

My research focuses on the synthesis and characterization of nanomaterials, with a particular emphasis on two-dimensional (2D) materials for applications in energy, environmental, and electronic devices.

Machine learning, IoT, Linear control, Nonlinear control, Converter design and control

• Novel Spintronic & Neuromorphic Devices
• Spike Neural Networks (SNN)
• Spin Optoelectronics & Photonics
• FSO & CPDM based Fiber Optics

• Expert System
• Internet of Things (IoT)
• Smart City
• Cloud and Edge Computing

• Machine Learning
• Artificial Intelligence
• Microstrip Patch Antenna Design
• STT_MRAM characteristic and application
• Bio-inspired photonics
• IoT
• Photonic Bandgap Device design and application

• Data Compression/Encoding
• SQL Script Optimization
• Graph Mining
• Data Mining
• RDF Data Storing Techniques
• App Decentralization

Primary Research Interest: Diabetology & Insulin Resistance, ROS, Ion Channels, Cardiology, Cell Signaling & MMDA

Secondary Research Interest: Public Health