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Hello, I’m

Manish Bansal

5G- IoT Engineer | IIT-Delhi | IoT- L2-MAC Security| Agro-IoT | COMSNETS 2020 Best Research Awardee

M.Tech in Electronics & Communication Engineering

pursuing PhD from IIT Delhi

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About Me

Welcome to my homepage





Academics

A Post Graduate Engineer with two years of thriving work experience in India’s top institution and contributed in the most ambitious programs of Govt. of India. Expertise in implementation, monitoring and development of resilient IoT based systems using different tools and methods. Proven ability to balance priorities, meet tight deadlines, and deliver exceptional results through project management. Known for thriving in dynamic, high-pressure environments.

  • Email: bansal21manish@gmail.com

  • Current Location: IIT Delhi

Personal

Avid reader,.Love to travel, love to play football and badminton

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I am Awesome.

Academic Credentials



Education

Class 10th

Score: 86.84%
Year: 2007

Class 12th

Score: 83 %age
Year: 2009



Courses done


  • 2020 | IIT Delhi :COL 774 Machine learning.

  • 2020 | IIT Delhi :ELL 725 Wirless Communication.

  • 2020 | IIT Delhi :ELL719 774 Detection and Estimation Theory.
  • 2019 | IIT Kanpur Certificate Course on 5G Technologies: Massive MIMO, mmWave, NOMA, Full Duplex, OFDM/ FBMC, NB-IoTField Of StudyElectrical, Electronics and Communications Engineering

  • 2019 | Curtin University: IoT3X IoT Networks and Protocols

  • 2018 | IIT Mandi Selected Topics in IoT

  • 2018 | UC Irvine : Introduction to the Internet of Things and Embedded Systems

  • 2012 | Engineers Horizon Certificate course in Embedded System


M. Tech Thesis

Performance analysis of ZigBee networks based on XBee ZB modules has been studied in terms of following performance metrics: network throughput in multi-hopping and point to point link, mesh routing recovery time, range of XBee devices at varying power levels, effect of transmission angle on signal strength, baud rate in outdoor environment, and signal strength in an indoor/outdoor environment. For network throughput two processes have been used: (i) bidirectional – sending packets between End Device and Coordinator in both the directions, and (ii) unidirectional – sending packets from End Device to the Coordinator only. The wireless sensor node hardware used for this experiment consists of ZigBee (XBee S2 with wire antenna) wireless communication module from Digi International. X-CTU software is utilized for configuring and testing the ZigBee module of each sensor node.

Industrial Experience



Employer

IIT Mandi

Position Held: Project Engineer / Scientist
Year: 2018-19

IIT Gandhinagar

Postion Held : Junior Research Fellow
Year: 2019

IIT Delhi

Postion Held: Research Associate/ Project Scientist
Year: 2019- Till Now




Projects done

  • Jul 2019- Present | IIT Delhi - Authentication in IoT nodes (D2D- Device to Device Communication).

  • Jul 2019 | IIT Kanpur Project on Massive MIMO, Channel Estimation for Massive MIMO and Performance for Different Receiver.

  • Feb 2018-April 2019 | IIT Mandi Wireless Weather Stations for Smart Agriculture.

  • Feb 2018-April 2019 | IIT Mandi Smart Room and Building Energy Monitoring System.

  • Feb 2018-April 2019 | IIT Mandi Automatic Image Acquisition system for Precision Agriculture.

  • Aug 2015 - July 2016 | IP University A ZigBee based Sensor Network System for Motion and Temperature Monitoring.

Research Activity @ IITD

5G networks are the next generation communication technology and is being is slated to be widely deployed across the glode. My research is to implement the 5G security architecturein a 3GPP compliant form by implementation of the 5G - AKA architecture to comply with the existing standards. Multiple modules have been implemented on a network of Zigbee S2C devices. The module will include secure authentication, key exchange and payload transmission. The phase I of the research work will involve end to end deployment of security architecture. Phase II of the research involves implementation of novice provinance algorithms for source tracking by use of random graphs.

My detailed CV

My Skills

Here is some of the languages and tools which I have learned during my carrier

Authentication of Devices in wireless networks
98
%
Python
95
%
C and C++
85
%
MQTT Protocol
92
%
XBee
96
%
Security in Connected Devices
92
%
Wireless Sensor Network
75
%
ZigBee
82
%

Get In Touch

Want to contact me, here are my contact details

Address

Bharti Building
IIT Delhi

Email

bansal21manish@gmail.com

Manish.Bansal@dbst.iitd.ac.in