The main aim of this project is to develop a streaming-first, agentic financial intelligence framework that delivers low-latency, explainable decision support for macroeconomic hedge funds. By replacing slow, traditional batch-oriented platforms with real-time data fusion, the system ingests live market feeds, economic indicators, and news streams with sub-second latency. It leverages hybrid forecasting models and a Kafka-coordinated multi-agent architecture to continuously adapt to market changes. Ultimately, the project aims to ensure strict regulatory compliance and build trader trust by delivering fully transparent, auditable decision paths and deterministic portfolio optimization across multiple asset classes.
Funding Agency: TIH Foundation for IoT and IoE – CHANAKYA UG FELLOWSHIP 2025-2
Principal Investigator: Dr. Sumit Gautam
B.Tech. Students: Mr. Harshvardhan Choudhary, and Mr. Mayank Yadav
Duration: March 2026 - December 2026 (Status: Ongoing)
Budget: ₹2,40,000.00
The primary goals of the QUILA (Quantum Internet with Local Access) project are to design and deploy a massive, highly secure 2,000 km quantum communication network linking major Indian cities. By leveraging Quantum Key Distribution (QKD), the project aims to establish "unhackable" communication channels that detect unauthorized data interception attempts in real-time. Spearheaded by IIT Madras and C-DOT via the Samgnya Technologies Foundation, this initiative seeks to build an advanced, indigenous quantum-encrypted national infrastructure to ensure ultimate data security and ultra-secure long-distance connectivity.
Funding Agency: Centre for Rural Development and Technonolgy (CRDT), IIT Indore
Principal Investigator: Dr. Sumit Gautam
Co-Principal Investigators: Dr. Devesh Mishra, and Mr. Sandeep Prajapati
Duration: October 2024 - March 2025 (Status: Completed)
Budget: ₹1,50,000.00
The TARANG project aims to develop physical-layer algorithmic and software solutions to enable terahertz (THz) wireless communications for future 6G networks. Its primary goals include defining human-centric 6G use cases and performance indicators; characterizing near-field and far-field THz propagation channels while mitigating wideband effects; and designing energy-efficient beamforming architectures to enhance reliability and coverage. Additionally, the project leverages advanced hardware technologies like ultra-massive MIMO and Reconfigurable Intelligent Surfaces (RIS), and applies AI/ML to establish low-complexity beam training, channel estimation, and resource management protocols.
Funding Agency: Telecom Technology Development Fund (TTDF) Scheme, Department of Telecommunications (DoT)
Principal Investigators: Dr. Sumit Gautam (IIT Indore), Dr. Sourabh Solanki (NIT Warangal), and Dr. Sucharita Chakraborthy (NIT Silchar)
Co-Principal Investigators: Dr. Chayan Bhar (NIT Warangal), and Dr. Dibbendu Roy (IIT Indore/IIT Kharagpur)
Duration: October 2024 - October 2027 (Status: Ongoing)
Budget: ₹98,37,679.60 (IIT Indore: ₹31,05,060.80; NIT Warangal: ₹48,54,058.00; NIT Silchar: ₹18,78,560.80)
The project "ARISE ML" aims to optimize machine learning-driven 6G Adaptive Radio (6G-AR) systems for advanced, self-sustainable IoT devices. Its key goals include modeling ML-assisted 6G-AR waveforms for concurrent data and power transmission, and designing an optimized RF battery-integrated IoT node with a rectenna receiver. Additionally, it seeks to develop a TriTaskML-based module for feedback, power, and sensor management , implement a smart multi-antenna array system with feedback-assisted sub-array selection , and create an advanced ML-enabled precoder for beamforming, leading to real-time field demonstrations.
Funding Agency: Telecom Technology Development Fund (TTDF) Scheme, Department of Telecommunications (DoT)
Principal Investigators: Dr. Sumit Gautam (IIT Indore) and Dr. Ashwani Sharma (IIT Ropar)
Co-Principal Investigators: Dr. Vimal Bhatia (IIT Indore) and Dr. Santosh Kumar Vipparthi (IIT Ropar)
Duration: September 2024 - September 2027 (Status: Ongoing)
Budget: ₹2,70,66,100.00 (IIT Indore: ₹1,04,63,000.00; IIT Ropar: ₹1,66,03,100.00)
The primary goals of the QUILA (Quantum Internet with Local Access) project are to design and deploy a massive, highly secure 2,000 km quantum communication network linking major Indian cities. By leveraging Quantum Key Distribution (QKD), the project aims to establish "unhackable" communication channels that detect unauthorized data interception attempts in real-time. Spearheaded by IIT Madras and C-DOT via the Samgnya Technologies Foundation, this initiative seeks to build an advanced, indigenous quantum-encrypted national infrastructure to ensure ultimate data security and ultra-secure long-distance connectivity.
Funding Agency: Department of Science & Technology (DST)
Investigators from IIT Indore: Dr. Vimal Bhatia (PI) and Dr. Sumit Gautam (Co-PI)
Duration: September 2024 - September 2030 (Status: Ongoing)
Budget for IIT Indore: ₹6,00,00,000.00
The project aims to integrate Unmanned Aerial Vehicles (UAVs) and Intelligent Reflecting Surfaces (IRS) to achieve efficient Simultaneous Wireless Information and Power Transfer (SWIPT) in IoT networks. Its core goals are to optimize spectral efficiency, power consumption, and harvested energy across single, multiple, and 360°-coverage STAR-IRS configurations. Additionally, the project will establish robust multi-user scheduling and beamforming schemes to mitigate hardware impairments and coordinate dynamic UAV-IRS deployment. Ultimately, it delivers a real-time hardware demonstration utilizing Software-Defined Radios and metamaterial reflectors to validate the practical feasibility of IRS-assisted SWIPT.
Funding Agency: Ministry of Electronics and Information Technology (MeitY)
Chief Investigator: Dr. Sumit Gautam
Ph.D. Student Supported: Mr. Mahendra Tyagi
Duration: January 2024 - December 2028 (Status: Ongoing)
Budget: ₹32,55,000.00 (Approx.)
The SwaYaan project aims to strengthen India's Unmanned Aircraft Systems (UAS) ecosystem by integrating specialized Minor Degrees and electives in drone technology alongside advanced training laboratories. By driving research and intellectual property creation—including patents and publications—the initiative facilitates real-world application through Proof-of-Concept (PoC) development. Ultimately, it bridges the gap between education and the private sector through robust industry-academia collaboration, creating a sustainable pipeline of highly skilled human resources for the drone electronics industry. (Work Theme: Drone Electronics)
Funding Agency: Ministry of Electronics and Information Technology (MeitY)
Chief Investigator: Dr. Sumit Gautam
Co-Chief Investigators: Dr. Unmesh Khati and Dr. Vivek Kanhangad
Duration: September 2022 - September 2027 (Status: Ongoing)
Budget: ₹1,42,00,000.00 (Approx.)
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Proof-of-Concept (PoC) Project: Next-Gen Smart Drone Navigation: Path Planning via Multicolor LEDs
The project aims to develop and validate an autonomous, vision-based quadcopter drone capable of tracking and navigating multicolor LED light paths without manual intervention. Utilizing an onboard Raspberry Pi 4 and OpenCV, its primary objective is to achieve full flight autonomy, including automatic takeoff, stabilization, and real-time alignment with green LED tracking lines. Furthermore, the system integrates vision-based decision-making to safely halt and execute autonomous landing sequences when a red light signal is detected, creating a robust, adaptive closed-loop navigation framework.
Funding Agency: Ministry of Electronics and Information Technology (MeitY)
Chief Investigator: Dr. Sumit Gautam
Co-Chief Investigator: Dr. Ravi Gangwar (Professor, Electrical Engineering, IIT Dhanbad)
Duration: April 2024 - March 2026 (Status: Completed)
Budget: ₹2,50,000.00
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Proof-of-Concept (PoC) Project: IRS-Aided UAV Networks: A Resilient Communication Solution for Disaster Scenarios
The project aims to develop an Intelligent Reflecting Surface (IRS)-aided UAV communication network to provide resilient connectivity in emergency response and disaster recovery scenarios. The primary goals are to implement a joint relay-IRS framework that enables simultaneous wireless information and power transfer (SWIPT) alongside energy harvesting to extend drone flight endurance. Additionally, the project focuses on designing, fabricating, and experimentally validating passive IRS prototypes integrated onto a customized drone platform to achieve directional beam steering and evaluate communication performance under practical operational impairments like hovering jitter and phase errors.
Funding Agency: Ministry of Electronics and Information Technology (MeitY)
Chief Investigator: Dr. Swaminathan R.
Co-Chief Investigator: Dr. Sumit Gautam and Dr. Saptarshi Ghosh
Duration: April 2025 - October 2026 (Status: Ongoing)
Budget: ₹2,50,000.00
The project aims to overcome the battery bottleneck in IoT devices by integrating radio-frequency energy harvesting (RF-EH) with cutting-edge wireless communication paradigms. Its primary goals are to understand the theoretical limitations of RF-enabled energy harvesting, design and optimize energy-efficient wireless IoT networks, and formulate advanced parameter optimization algorithms. Furthermore, the initiative focuses on establishing the Wi-STAR laboratory utilizing hardware like USRP software-defined radios and Powercast modules to conduct real-time experimental validation, ultimately creating a sustainable, environmentally sound framework for a smart, self-powering wireless society.
Funding Agency: Indian Institute of Technology - Indore
Chief Investigator: Dr. Sumit Gautam
Duration: May 2022 - May 2024 (Status: Completed)
Budget: ₹10,00,000.00
The goal of this project is to investigate optimized resource allocation in InWIP-NET, that is networks supporting both the wireless information transfer and the wireless power transfer. The main objective is to investigate InWIP-NET where a wireless power transfer network, composed of a variety of RF energy sources, is incorporated into a heterogeneous wireless information network, in order to deliver on-demand information and power wirelessly in a cost-efficient manner. The project has been successfully completed.
Ph.D. Thesis: Design and Optimization of Simultaneous Wireless Information and Power Transfer Systems Systems. [Defense held on: 11-Feb-2020]. Research Advisors : Prof. Symeon Chatzinotas and Prof. Björn Ottersten.
Principal investigator: Prof. Björn Ottersten
Vice principal investigator: Prof. Symeon Chatzinotas
Funding Agency: F.R.S.-FNRS CREDITS AND PROJECTS CALL 2015 (PDR)
Acknowledgments:
Funding Agency: ERC
Duration: 01.10.2017 to 30.09.2022
Partner: KTH Sweden
Principal investigator: Prof. Bjorn Ottersten
Acknowledgments:
Conferences:
Journals:
Book Chapter:
Funding Agency: FNR-CORE
Principal investigator: Prof. Bjorn Ottersten
Duration: 07/2018 - 06/2021
Acknowledgments:
Funding Agency: European Space Agency, ARTES AT Program
Partners: SES S.A., FTA Inverto
Principal investigator: Prof. Symeon Chatzinotas
Funding Agency: FNR-CORE
Principal investigator: Prof. Björn Ottersten
Vice principal investigator: Prof. Holger Voos
Duration: from March 1, 2020 to February 28, 2022, 3 years
MS by Research Thesis at IIIT-H in order to meet the degree requirements (Mar'14 - Oct'16).
Recent advancements in the field have motivated researchers to propose some very interesting ideas. One such idea is the incorporation of information/data transfer with energy transfer, jointly known as simultaneous wireless information and energy transfer (SWIET). In this thesis, we have primarily focused on addressing two of the many possible problems in this context. [Defense held on: 19-Jan-2017].
Research Advisor - Dr. Ubaidulla P.
This project was completed in collaboration with CTTC, Barcelona, SPAIN between May'15 - Aug'15.
Main problem with recently proposed models for GNSS-SDR metadata is that they do not promote interoperability and data/resource sharing and re-use. To resolve the issues Metadata Standardization Technique is proposed. C++ codes for auto-con guration of receivers were developed.
Mentor : Dr. Carles Fernandez.
In this project, the main aim was to provide efficient and complete MATLAB codes for different topics related to Microwave Engineering. For efficiency, MATLAB codes were connected via MATLAB Graphic User Interface making it simple for the user to execute various topics. Owing to the demands in the Microwave Engineering field, this project is very worthy considering the future of Microwave Engineering. It can be amended from time to time as per requirements.
Project Advisor - Prof. Raghuvir Tomar.
Project on: 'Modernization and Automation of Bar Mill'. Bar Mill is a part of Steel Plant where Steel Bars are produced from Iron Billets. In the process of production, there is a cooling station. My team's job was to perform the automation of the cooling station using Siemen's 'Step - 7' Language.
Project Guide - Er. Evgeniy Volokitin.