Ongoing Researches

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Faculty Members Ongoing Researches

1. Highly porous materials

- Synthesis/Application of porous materials (MOFs, zeolites, carbons, AlPOs)

- MOF- or organic polymer-derived carbons (highly porous, ordered and having various functionalities) adsorption/storage, catalysis and electrical energy storage.

-Rapid/continuous synthesis of porous materials with microwave and ultrasonics

- Functionalization/Modification of MOFs for selective adsorption of hazardous compounds

2. Adsorption/separation

- CO2 capture with porous adsorbents 

- Fuel purification (removal of S- and N- containing compounds)

- Water purification (removal of pharmaceuticals, personal care products, pesticides, dyes)

- Adsorption/separation of hydrocarbons

- Adsorption/storage of gases

3. Heterogeneous catalysis

- Acid catalysis with porous materials (dehydration, isomerization, alkylation)

- Conversion of biomass into chemical intermediates with dehydration

  • Clinical Pharmacology
  • Phytochemistry
  • Wireless Communications
  • Artificial Intelligence
  • Computer Networks Security
  • Machine Learning
  • Deep Learning
  • Internet of things
  • Robotics 
  • 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
  • Deep Learning
  • Image Processing
  • Biomedical Signal Processing
  • Machine Learning
  • Artificial Intelligence 
  • Applied and Computational Electromagnetics
  • Wireless Communication
  • Optical Communication
  • Microwave Engineering
  • Waveguide and Antenna Design
  • Smart Grid Communications
  • Nonlinear Optics
  • Dual-Core Photonic Crystal Fiber
  • Supercontinnum Generation
  • Nanosized drug delivery systems development
  • Development and optimization of formulations
  • Power Systems
  • Power Electronics
  • Electrical Machines and Drives
  • HVDC Transmission
  • Renewable Energy
  • Energy Efficiency
  • Synthetic chemistry
  • Pharmacology
  • Bioinformatics
  • Public health


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

In silico drug design

Material Chemistry

Public health

  • Computational Biology
  • Genomics
  • Machine Learning
  • Big Data