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Ongoing Researches

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Faculty Members Ongoing Researches

  • RESEARCH GATE_PROFILE
  • Image Processing
  • Computer Vision
  • Artificial Intelligence
  • Computer Networks Security
  • Machine Learning
  • Deep Learning
  • Internet of things
  • Robotics 

Artificial Intelligence & Data Science, Green/Energy Efficient Wireless Communication, Future Internet Architecture

  • Structural petroleomics, i.e., Petroleum oil analysis
  • Investigation of structure of individual compounds in complex natural mixtures by High Resolution Mass Spectrometry (HRMS)
  • Environmental Pollution by Heavy metals
  • Analysis of Heavy metals by Atomic Absorption Spectroscopy, Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
  • Structural Analysis of Chemicals, i.e., Polycyclic Aromatic Hydrocarbons (PAHs) Compounds
  • Separation of PAHs by Liquid Chromatography coupled to Mass Spectrometry (LC-MS)
  • Analysis of Environmental Samples, e.g., Coal, Petroleum, Fuel, Bio-oil, soil, water etc by Instrumental Techniques
  • Molecular Biology
  • Medical Genetics
  • Environmental Biotechnology
  • Deep Learning/ Machine Learning
  • Localization algorithm design in Wireless Sensor Network
  • Developing Efficient Routing Protocol for IoT devices
  • Network Measurement and Performance Analysis in Wired and Wireless (LTE) Network
  • AQM Based Buffer Management for eNB in LTE Network
  • Energy Efficient Communication Protocol.
  • Big data Analysis.
  • Synthetic chemistry
  • Pharmacology
  • Bioinformatics
  • Public health

I have been conducting Numerical Research in an Interdisciplinary Research Field (i.e., Combustion Dynamics or Reacting Fluid Dynamics where Chemical reaction systems play vital role), which not only covers the research activities of the Departments of Mechanical-, Aerospace- and Automotive-Engineering but also covers the research activities of the Department of Applied Mathematics.  More specifically, I am interested in the following research topics:

  1. Computational Fluid Dynamics (CFD)/ Fluid  Science and Engineering.
  2. Computational Premixed Flame Dynamics (CPFD) / Combustion Science and Engineering.  
  3.  Diffusion flame driven Chemiluminescence Physics.
  4. Stability mechanisms of the Micro-Scale Flame Physics. 
  5. Multiphase (i.e., tri-phase: solid-liquid-gas) Combustion  Dynamics.
  6. Chemical reactions' path analysis  for Hydrocarbon fuels, Hydrogen fuel and Syngas fuels during Combustion process.
  7. Applied Mathematics and its applications in  Fluid Dynamics, Combustion Dynamics and Fire Dynamics. 
  8. Fluid flow and heat, mass, species transport in the Laminar Boundary Layer. 
  9. Solidification, Melting and dripping of molten Dynamics.
  10. Free-surface tracking and its dynamics in Multiphase flow systems.
  11. Droplet/Spray Combustion Physics.
  12. Asymptotic analysis of Combustion  Dynamics.
  13. Bioheat Transfer / Heat and  Mass Transfer / Heat Transfer Engineering/Thermal Engineering.
  14. Fire Dynamics / Fire Protection Engineering/ Flame spread over Electrical cables/ Flame spread over polymeric materials.
  15.  Flame Acceleration process/Flame transition process/ Flame Instability Process.
  16. Direct  Numerical Simulation (DNS), Large Eddy simulation (LES)  and  Detached eddy simulation (DES) of CFD and CPFD.  
  17. Flame-vortex interaction Dynamics / Flame Wrinkling Dynamics.
  18. Oxygened fuels supported micro-flame dynamics inside the micro-burner.
  19. Microgravity Combustion Physics/Earth gravity Combustion Physics /Zero gravity Combustion Physics. 
  20. Flame Dynamics under non-uniform thermal field / Flame Dynamics under radiative field.

Molecular Oncology, Microbial Biotechnology, Metagenomics, Computational Biology and Bioinformatics

In silico drug design

Material Chemistry

Public health

  • Wireless Communications and Networks
  • Data Communications
  • Public Health
  • Pharmaceutical Sciences
  • Dynamical System
  • Differential Geometry

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