Research at SiliconTech

A mix of experienced faculty members, young researchers, and students at SiliconTech collaborate actively with researchers from across the globe and diverse disciplines to address fundamental questions and a range of problems in science and technology.

An in-house research proposal scheme promotes scientific investigations in any area of science or engineering. Funding, as seed money, is given to faculty members to start projects and promote industry-academia collaborations.


SCI/Scopus Indexed journals placed


Journals with high impact factor


Conference proceedings


Books/book chapters

Research Domains

The Research Center has strong groups in the domains of data science, optical sensors, power electronics and systems, signal processing, VLSI and wireless sensor networks.

Data Science

The research focus in Data Science is on extracting actionable information from varied forms of data and presenting solutions to many real-world problems. The efforts include research on applying scientific methods mostly from machine learning, empirical sciences, statistics, data mining, and big data analytics on varied application domains. READ MORE

Optical Sensors

Research in the Optical Sensor facility works on various fields of optical sensors, including fiber optics sensors, forward-looking infrared imaging, and distributed sensing. The research team focuses on developing fiber optics sensors for civil applications, high-temperature monitoring, biomedical engineering, and security applications. SiliconTech is constantly exploring new avenues in the field of high-precision optical sensors, like Fiber-Bragg grating sensors. READ MORE

Power Electronics and Systems

The research thrust in the Power Systems and Electronics domain is on processing and conversion of electrical energy. The research team focuses on solutions for the reliable and efficient operation of interconnected power systems with large-scale integration of renewable energy. We work to modernize the electric grid to a Smart grid with bidirectional communication, catering to both the customer and grid operator requirements. READ MORE

Signal Processing

The Signal Processing research group primarily aims to design and develop efficient algorithms to resolve real-time and offline issues related to single and multi-dimensional signals/systems. The focus is on data integration, techniques, and tools for efficient knowledge discovery to aid decision-making processes in association with information extraction and computational intelligence. The work is in diverse areas such as speech, audio and image processing, computer vision, and video processing, etc. READ MORE


The VLSI group focuses on research in the area of CMOS integrated circuits and electronic system design. It aims to contribute to making India technologically independent in the semiconductor industry. Some of the research includes developing microcontrollers for use in low-power IoT-based applications, analog IP blocks for an ultra-efficient neuromorphic processor, and a power management solution for the LED lighting industry, etc. READ MORE

Wireless Sensor Networks

The research in the Wireless Sensor Networks domain is on the design and development of new environment friendly products and solutions to enhance the quality of life of individuals. It focuses on prototyping and developing sensor related technologies for wireless networks to serve diverse real life applications. These include research on a smart IoT model for acute stroke avoidance, an IoT-based detection model for the level of autism, an IoT-based system for patient monitoring, etc. READ MORE

Research Collaborations

Successful collaborations with academia, industry and governmental organizations are fundamental to SiliconTech’s research enterprise. Active partnerships with researchers from multidisciplinary backgrounds aid critical research in new directions and deepen existing scholarship to advance knowledge and innovations in science and technology.

Collaborations provide access to resources, expertise, and global networks that increase funding opportunities and support strategic and capacity-building efforts of the research community at SiliconTech. Students get a chance to work with experts and advance their scientific careers.

SL.NO Research Focus Partner Organization DOMAIN RESEARCH LEAD DURATION
01. Developing hardware and software solutions in the IoT domain, new technologies and marketable products in IoT and Industry 4.0. Phoenix Robotix Pvt. Ltd. IoT Dr. Ambarish G. Mohapatra, Senior Assistant Professor Sep 2020 – 2025
02. Developing standard mixed-signal IP blocks such as voltage references and regulators. Boston Microtechnology LLC VLSI Dr. Saroj Rout, Adjunct Professor Jun 2020 – 2023
03. Cost minimization based multi-stage PMU installation strategy considering energy industry perspective NIT Durgapur Power System Monitoring Dr. Tapas Kumar Maji, Assistant Professor Dec 2020 – 2023
04. Design and development of Fibre Bragg Grating Based Cardiac Probe for MRI Environment Indian Institute of Technology, Patna Fiber Optics Sensor Dr. Ambarish G. Mohapatra, Senior Assistant Professor Nov 2019 - 2021


SRPS Funded Projects

Discrete-Point Control Based Adaptive Active Noise Regulation System Implementation Using Deep-Learning Regression Techniques

The objective of the project is to apply deep learning techniques to optimize the performance of active noise control systems so as to provide a user adjustable control for acoustic noise ingress within a particular region (quiet zone) by estimating noise levels through discrete point measurements in and around the control region, and optimizing the location and spectral characteristics of anti-noise sources in order to achieve the best results.

Budget Allocated: ₹ 15 lakhs

Duration: December 2021 to December 2024

Principal Investigator: Dr. Biranchi Narayan Rath, Senior Assistant Professor, Silicon Institute of Technology, Bhubaneswar.

Mentor: Dr. Debi Prasad Das, Principal Scientist, CSIR-IMMT, Bhubaneswar

Design and development of a metal-packaged FBG sensor for the monitoring of cracks in civil applications.

Investigators: Dr. Ambarish G. Mohapatra, Principal Investigator, Dept. of EIE, SiliconTech Bhubaneswar, Dr. Kamalakanta Satpathy, Co-Principal Investigator.

Fibre Bragg Grating (FBG) are used as passive optical sensors in various purposes like Structural Health Monitoring (SHM), biomedical and chemical sensors, sensors in aerospace applications where EM radiation may create abnormalities during measurement. These FBG sensors are primarily sensitive to the effect of strain on the grating region. The proposed project work is based on the packaging of a FBG sensor element using suitable metal and polymer which can be used in civil engineering applications.

Design Approach:

  • Design of the FBG Sensors is completed and is tested in the laboratory condition which is giving promising results.
  • Further testing and design improvements are underway for industrial applications.
Studies on the convective heat transfer in Nanofluids

Investigator: Dr. Kamalakanta Satpathy

The Brownian motion of the nanoparticles in nanofluid is one of the potential contributors to enhance effective thermal conductivity. The mechanisms that might contribute to this enhancement are the subject of considerable discussion and debate. Towards this, the mixing as well as other hydrodynamics and thermal effects associated with the Brownian motion in the nanofluid will be numerically studied.

Numerical Approach:

  • CAD design of the numerical model has been completed.
  • The study of heat transfer analysis is under investigation.
Real-time Dark Image Enhancement in the Presence of High Intensity Optical Sources for Better Night Driving Performance, 01 Jan – Present, 2021

The project aims to develop an algorithm which can not only enhance the dark regions of an image but at the same time effectively manipulate the local contrast of the bright regions for proper overall enhancement of an image without any significant loss of original information.

Budget Allocated: ₹48,600

Duration: January - June 2021

Principal Investigator: Dr. Aditya Acharya, Associate Professor, Dept. of Electronics and Communication Engineering

Co-Principal Investigator: Mr. Nihar Ranjan Panda, Assistant Professor, Dept. of Electronics and Communication Engineering

Design of Grid-Connected Inverter

Grid connected inverters are the necessities of the present power system as the integration of renewable energy is increasing. Grid connected inverters will provide a mechanism to integrate the DC power produced by wind, solar and various other resources, which can be connected with storage like batteries, into the AC power system.

Budget Allocated: ₹38,000

Duration: June - December 2021

Principal Investigator: Dr. Rajan Mishra, Assistant Professor, Dept. of Electrical and Electronics Engineering

Co-Principal Investigator: Mr. Jagadish Patra, Assistant Professor, Dept. of Electrical and Electronics Engineering & Dr. Tapas Kumar Maji, Assistant Professor, Dept. of Electrical and Electronics Engineering

Energy Monitoring System of Silicon

Scheduling of power for different sources is vital for the economic operation of the grid. This project aims to provide an effective means to monitor the load consumption pattern of any system online from any location. Objective of the project is to create a smart energy meter with internet connectivity for real-time monitoring.
Budget Allocated: ₹21,000

Duration: October 2019 to February 2021(Completed)

Principal Investigator: Dr. Rajan Mishra, Assistant Professor, Dept. of Electrical and Electronics Engineering

Co-Principal Investigator: Dr. Ramaprasad Panda, Additional Professor, Dept. of Electrical and Electronics Engineering & Dr. Tapas Kumar Maji, Assistant Professor, Dept. of Electrical and Electronics Engineering

Characterization of FBG sensor and preliminary interrogation technique.

The proposed work has two objectives. The first objective is to design and develop a suspension bridge model. The second objective is to develop a GUI based approach to visualize the strain and deformation profile of the suspension bridge using FBG sensor data.

Budget Allocated: ₹50,000

Duration: September 2018 to March 2019 (Completed)

Principal Investigator: Dr. Ambarish Gajendra Mohapatra, Senior Assistant Professor, Dept. of Electronics and Instrumentation Engineering

Co-Principal Investigator: Mr. Tarini Ch. Mishra, Assistant Professor, Dept. of Computer Science and Engineering

‘SAYAS’ – A Real Time Cloud-Based Bus Management System Using IoT

This project aims to help our students and staffs to get the location of another college bus which passes through the nearby area, they will be able to get the real-time location of the bus and also the expected time of arrival along with notifications of bus arrival and notification to the parents about their child leaving and entering in any of these buses.

Budget Allocated: ₹40,000

Duration: July 2017 to December 2018 (Completed)

Principal Investigator: Dr. Samaleswari Prasad Nayak, Assistant Professor, Dept. of Computer Science and Engineering

Co-Principal Investigator: NIL

Wireless Sensor Network (WSN) Design for Precision Agriculture

We have successfully acquired soil MC and environmental temperature, humidity, light intensity data using zigbee based WSN platform. More analysis on hardware performance like current consumption, battery life have to be done. Also the interconnection with DSS mechanism has been studied for irrigation control. This work is also focused on large agriculture data classification, analysis and prediction for better farming using smart DSS.

Some of the research goals achieved in this project are:

  • a distributed network of sensors for accurately sensing the plant growth activity and environmental conditions, and plant growth control actuators;
  • ontology-based decision support mechanisms that associate sensor data with actuator commands;
  • a machine learning process for enhancing plant state diagnosis based on logged data; and
  • a set of tools that facilitate the specification of applications and the visualization of measuring parameters and assessed states.

Duration: 2014–2015

Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.

Smart Eye software for Monitoring and Control of Plant Conditions

This method provides an accurate, and rapid tool to estimate leaf area from digital images. This tool’s ability to separate leaf pixels from various backgrounds also allows it to be used for leaf area and crop canopy measurement without masking soil or relying on infrared images to distinguish leaf area from background soil. This will significantly improve rapid screening of large plant collections.

The accuracy of this software was very high even with a commonly available camera phone, but care must be taken to avoid perspective and lens distortion.

The time required using traditional methods (flatbed scanner and Image analysis) is about 5 min for capturing an image and about 3 min for analyzing leaf area. Using a digital camera and this method required less than 5 s for capturing an image and less than 60 s for analyzing leaf area.

Duration: 2014–2015

Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.

Ph.D. Opportunities

SiliconTech, Bhubaneswar, is a Nodal Center for research under the state technical university, Biju Patnaik University of Technology (BPUT), Odisha. More than 55% of our faculty have a Ph.D. with extensive research experience. Interested students can register for Ph.D. at BPUT and do their course and thesis work under faculty guidance in Silicon Tech.


Contact Us

Write to Dr.Jayashree Das

Dean Research,

for further enquiries on research at Silicon.

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