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Communications and Signal Processing

Research is underway on the design and development of software that generates implementations and solves estimation problems using Kalman filters and its variants. From a high-level mathematical description of a state estimation problem, the software aims to generate code that computes statistically optimal estimate using the appropriate estimation filters. Also being developed are motion analysis algorithms to find relevant motion parameters based on available information, in the presence of relatively high error rates in low SNR conditions.

Research is being carried out for the development of new circuit topologies for wireless communication and radar systems. Specific research topics include: the design and development of miniaturized active integrated antennas, front-ends of wireless communication and radar systems including smart antenna systems; multi-band transceiver design, digital base-band signal processing for wireless communication, multi-band fractal antenna for satellite applications, analysis of radiation from multi-device high-gain amplifier, and interaction of active MMIC with package.

Faculty

Research Groups and Labs

  • Wireless Communication Research Lab
  • Speech Processing Lab
  • Speech Research Group
  • RF & Microwave Research Group

Algorithms and Theory of Computation

Theoretical Computer Science is a discipline at the interface between Mathematics and Computer Science. Work in theoretical computer science often fuels major advances in the world of computer technology, allied industrial endeavours and often contributes to the development of rich mathematical ideas. It focuses on developing mathematical tools applicable to computer science. The applicability is enabled by modelling various aspects of computer science in an abstract framework. A collection of some of the important subjects that fall in this discipline could be: Algorithms, Computational Complexity, Data Structures, Discrete Mathematics, Formal Specification & Verification, Graph Theory, Mathematical Logic, Models of Computation. The members of this group at DA-IICT, work on a wide subset of these areas both in the form of teaching courses as well as research.

Faculty

VLSI & Embedded Systems

An important component of the Information and Communication Technology (ICT) is the Electronics and Communication, VLSI and Embedded systems (VES). The VES research group of ICT department in DA-IICT encompasses wide range of spectrum from microelectronics, digital and analog system architectures, VLSI electronic-design automation, nanotechnology, embedded systems and designs.

DA-IICT has excellent research laboratories with the availability of various state-of-the-art CAD tools for VES. The core research areas and on-going projects are in the areas of

  • Low power processor design, high performance using ARM processors, edge computing
  • Ultra-low power, ultra-low voltage IC design
  • Embedded systems and IoT
  • MEMS (Nano/Micro sensors)
  • Nanoelectronics and nanotechnology
  • AI/ML chip design robotics, system cybernetics
  • Circuits and systems – design, modeling and simulation, graphene FETs and on-chip interconnects
  • Machine learning for VLSI architectures

The VES research group has led to various publications in Book chapters, Journals and Conferences of repute, bringing several funded projects and incubation of many start-ups.

DA-IICT has a strong research group, relevant curriculum, expertise faculties and dedicated labs for supporting various Ph.D. and M.Tech. students in VLSI and Embedded systems specialization. The department provides wide range of core VLSI/Embedded systems subjects together with many electives from other domains such as machine learning, signals and systems, IoT, computational theory to make the programme more comprehensive and dynamic. The department is committed in delivering both excellences in teaching and high quality research.

Faculty

Research Groups and Labs

  • VLSI Lab
  • System Lab
  • System Design Lab
  • VLSI and Embedded Systems Group
  • Internet of Things Group

Events and Activities

https://isedconf.org/

Physics and Mathematical Sciences

For several years, DA-IICT has served as a premier training and research ground for ICT. Basic sciences are very much a central part of ICT research and teaching. Research in basic sciences at DA-IICT is primarily conducted in the areas of Mathematics and Physics and is both theoretical and computational in nature. Pure, applied as well as interdisciplinary studies of complex systems is being pursued. Broadly, the areas under study are frame theory, fractional differential equations, fluid dynamics, astrophysics, quantum computation and information, general relativity, plasma physics, electromagnetics, granular systems and nonlinear waves. Interdisciplinary research is carried out in the areas of mathematical finance, sociophysics, stock markets, systems Biology and Bioinformatics.

Faculty

AI, ML and Data Science

Machine learning and Data science deals with data-aware mathematical models, algorithms and computational tools to manage, analyse and process possibly large scale data for various applications. There are several faculty members at DAIICT working in applications of Machine learning to wide-ranging domains like Image Processing and Computer Vision, Speech Processing, Information Retrieval, Natural Language Processing, Computional Neuroscience, Multimedia Forensics and Security, Biometrics, and Signal Processing and Communication. Faculty also work on core issues in Machine learning like Dimensionality reduction and Adversarial Machine learning. Aspects of Data Science pursued at DAIICT include Modeling Complex networks, Databases and Computational algorithms and tools for simulations on HPC and GPUs. Computing facility at the institute is available in the form of a HPC cluster, apart from GPU’s funded by projects. The Speech lab and Information Retrieval lab at DAIICT fall under the umbrella of Machine learning and Data Science.

Faculty

Research Groups and Labs

  • Geospatial Lab

    RESEARCH PROJECTS

  • Computer Vision & Deep Learning Research Group
  • Smart City Lab
  • High Performance Computing Group
  • Information Retrieval & Language Processing Lab
  • Natural Language Processing Group
  • Pattern Recognition and Image Processing Group

Software Systems and Networking

Faculty

Research Groups and Labs

  • UbiSense Lab
  • Security Research Group
  • Software Engineering Research Group

Events and Activities

15th Innovations in Software Engineering Conference (ISEC 2022) will be hosted by DA-IICT, 24-26 February 2022

Humanities, Social Sciences and Design

The Humanities, Social Sciences and Design group is an interdisciplinary community of distinguished scholars working across the disciplines of Anthropology, Philosophy, Political Theory, Literary Studies, Visual Culture, Economics, History, Cultural Studies and Design. A broad commitment to teaching and researching the diversity of social life and human endeavour underlies this range of specialisations and methodological approaches.

While the undergraduate Core curriculum includes courses such as Approaches to Indian Society, Introductory/Development Economics and Science & Technology Studies, later students may choose from a range of electives on Visual Anthropology, Gender Studies and Modern Philosophy. The MDes in Communication Design curriculum further includes modules on the History of Design as well as Narratology and Photography to provide students with a wider perspective on their chosen subject.

In addition, a well-funded PhD program offers doctoral candidates an opportunity to work closely with the faculty members of their choice in a supportive and resource-rich environment.

Aside from teaching and research, faculty at HSS & Design also work with civil society groups and government agencies, especially in order to shape public policy for the benefit of marginalized communities.

Faculty

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