Faculty Member: Dr. Rishi Ranjan Singh

Research Overview: We use various algorithms in our day-to-day life. We are able to find solutions to several problems quickly using our brain or some computing devices. Still, there are some problems for which even the best algorithms might take an enormous amount of time on largest computing systems to generate the solution. For such problems, one alternative is to design an algorithm that may not be able to exactly solve the problem but guarantees to generate a solution with some bounded error factor while taking a smaller amount of time. This flavor of algorithms is called Approximation Algorithms. Optimization problems are those problems where the objective is to find a solution to the given problem that maximizes/minimizes a defined cost function.
My area of interest is to design approximation algorithms for hard optimization problems. I am also interested in various algorithmic approaches based on mathematical formulations for optimization problems.

Faculty Member: Dr. Barun Gorain

Research Overview: For the class of NP-hard problems, there are no polynomial time solutions known till date. But the interesting fact about these problems is that if any one problem can be solved in polynomial time, all the NP-hard problems can be solved in polynomial time. Approximation algorithms are one of the popular approaches to solve NP-hard optimization problems. In this approach, the main idea is to achieve some solution which is close to the optimal solution and runs in polynomial times in the size of the input.
My area of interest lies on designing suitable approximation algorithms for the optimization problems related to graphs.

Faculty Members:
Dr. Arzad Alam Kherani
Dr. Sreejith T. V.

Research Overview: Research in the CSP area focuses on issues pertaining to the efficient processing and transmission of data that includes sound, images, video and sensor signals. Faculty members are working on next generation cellular communication techniques, specifically multiple antenna techniques in homogeneous and heterogeneous cellular networks, Cloud Radio Networks, Full Duplex and mmWave networks, and the analysis of cellular network performance using stochastic geometry. Other research areas are computer networks and queueing systems.

Cinque Terre

Illustration of the cloud radio concept

Faculty Member: Dr. Barun Gorain

Research Overview: There are many problems in distributed networks where some priory information is needed to serve to the network to solve the problem. This information is called advice with the help of which the nodes in the network solve the particular problem. My research interest in this area focus on finding a trade-off between time needed to solve the problem and the size of the advice.

Faculty Member: Dr. Dhiman Saha

Research Overview: Cryptography is one of the thrust areas of the department with emphasis on both theoretical and side-channel cryptanalysis. On one hand theoretical vulnerabilities of cryptographic algorithms are identified and leveraged upon while on the other hand state-of-the-art implementation based attacks are investigated. The dual expertise of the department gives it an edge in the cryptographic research arena of the country. With highly motivated and focussed students onboard, the department plans to expand it avenues beyond the regular curriculum. Regular reading groups, sounding boards and brainstorming and hand-on sessions are planned to develop the research acumen of budding researchers.

Faculty Member: Dr. S K Subidh Ali

Research Overview: Hardware Security: It deals with the hardware implementation based aspects of security critical applications. For example, when a cipher or a cryptographic algorithm is executed on an integrated chip, it leaks secret information through covert channels such as electromagnetic and thermal emanation, fault propagation, and power consumption. An attacker can tap these covert channels and leak the secret information embedded in a chip. The security may not only for the application but also the hardware design. Integrated chip design and manufacturing companies spent billions of dollars to design a chip (hardware IP), which can be reverse engineered by an attacker and can be sold in black market. Protecting chips against these attack is the key challenge in this field.

Faculty Member: Dr. Souradyuti Paul

Research Overview: Blockchain technologies have the potential to drastically change the way internet works today. Researchers @CSE work on both the design and analysis of cryptographic protocols based on blockchain technologies. Research work is also carried out to determine vulnerabilities in the architecture of computer networks that support blockchain-based cryptographic protocols.

Faculty Member: Dr. Veena Bansal

Research Overview: Machine Learning is a subset of artificial intelligence where computer programs learn from the data either in a supervised manner or in an unsupervised manner. In supervised learning, the program is presented with input data as well as corresponding true output and the program learns to predict the output for the new inputs. In unsupervised learning, the program classifies the input in various classes. The research in machine learning strives to find/improve structure of the programs to facilitate learning such as Convolutional Neural Network, Deep learning, looks for better learning mechanisms such as reinforcement learning and look for new applications of known machine learning techniques.

Faculty Member: Dr. Nikhil Chander

Research Overview: At present, research on perovskite solar cells, tandem solar cells, plasmonics and flexible electronics is ongoing. Reliability of photovoltaic devices is also an active area of work. Research work is being done for development of perovskite-Si tandem solar cells and large area solar cells based on perovskite/organic materials.

Cinque Terre

Plasmonic perovskite solar cell

Faculty Member: Dr. Rishi Ranjan Singh

Research Overview: Any single existing entity in this world is part of one or more networks. From organic cells to inorganic molecules, and from a small atom to a whole solar system takes part in the different type of networks. It will not be wrong to say that Network is Everywhere. We are surrounded by networks. Analyzing these networks can give crucial insights into several problems which we try to solve in the area of sociology, biology, computer science, mathematics, physics, chemistry and many others. Understanding the fundamental concepts related to the popular networks in this world and learning various analyzing techniques is the first step towards exploring the science behind networks.

Message From Director

IIT Bhilai is striving for research-driven undergraduate and postgraduate education. Our objective is to create an education system with multifacet outcomes including research, entrepreneurship, technical leadership, and above all, responsible citizenship. Read More


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