Hello, I am Subharthi

Thank you for visiting my page.

I am currently working for NXP Semiconductors. Prior to NXP, I have worked at the Ford Motor Company for two years. My current work focuses on DFS and TPC modules on current NXP Wi-Fi chipsets.

Interests

A fun compilation of the things I am interested in.

  • Code goblin (gobble all the code)
  • Look at the CLOUDs or stare at the FOG
  • Be nerdy about the prime numbers
  • Python, radio and trains
  • A goal to double the 14 up the K2.
  • Prime numbers (do pow(2, n)+p, I will tell you the value of 'p' to get you a prime)
  • Trains and the chosen one that runs faster than the fastest
  • Space
  • Japanese
  • Sound of music
  • Safety of people and 'not'-people

Education

  • May 2017 - May 2020

    PhD in Computer Engineering

    University of Nebraska-Lincoln

    Research Projects on - Thesis: Human behavioral resource allocation and association for device-to-device communication: A cell-biology influenced approach

  • August 2015 - May 2017

    Masters of Science in Telecommunication Engineering

    University of Nebraska-Lincoln

    Thesis: 5G-UCDA Multi Antenna-To-Logical Cell Circular FIFO Mapping Strategy For High-Speed Train Wireless Communications

  • February 2014 - August 2014

    Post Graduate Diploma in Embedded Systems Design

    Center for Development of Advanced Computing

    Course was based on Embedded C, Assembly langage, ARM microcontrollers, RTOS, Linux shell scripting, device drivers with a final project on signal processing based motor condition analysis.

  • July 2009 - July 2013

    Bachelor of Technology in Electronics and Instrumentation

    Techno India, Saltlake (under West Bengal University of Technology)

    Courses and Major
    Background in control systems, electronics, wireless telemetry and instrumentation.

    Final Project
    Wireless Telemetry in unlicensed UHF bands with compact and robust communication and device built.

Research

Behavioral-Social D2D communications

  • Designed D2D network architecture based on human-behavioral approarch
  • Improved network understanding based on self-propelled voronoi model that has been used to model cancer metastasis phase
  • Identified unique number related (shape index) to human-behavior specific resouce allocation: selfish/mobile resource, altruistic/static resource, etc.
  • Developed platform independent application with Pybees to showcase or to demonstrate proposed architecture and communication model based on end-user locations and LTE-M2M/WiFi RSSI
  • Throughput and Trust improvement showcased for up to 300% with cellular-assisted and non-cellular D2D communciation compared to social-aware models (graph-centric, naive-clustering, etc.)
  • Followed 5G-3GPP (TS36.746) design cases for simulation and verification to follow 5G requirements

No collision in the yards

  • Researched near-miss events with embedded sensors and radios for railyard personnel
  • Engineered image, audio and software defined radar (400-800MHz) signal processing and tracking with 10-30% more fidelity.
  • Developed variable-clutter cancellation algorithm and multi-sensor approach to increase Employee-on-Duty (EoD) and Remote Control Operator (RCO) safety
  • Implemented embedded/low power communication design and collected multi-sensor information (IMU, infrared, etc.).
  • Followed 49 CFR 218 intensively for unobtrusive protective device design.
  • Handled 2 GB sensor data in cloud and FOG
    • Keywords: Thinkspeak, matlab, C, Python, radar, WiFi, Zigbee, UWB, I2C, machine learning, tensorflow, mxnet, data collection, CNN

Rethinking wireless network architecture for High Speed Trains

  • Planning field testing of 5G-NR and LTE in vehicular and train networks with software defined radio
  • Worked on collaboration plan with OAI and EUROCOM in 5G/LTE testing
  • Improved throughput by 97% by user and control plane separation in 5G/LTE small cell vehicular network
  • Introduced UPWARC or user plane wireless adaptable reliable communication for high speed train for realizing user and control plane physical separation with mmWave and sub-6Ghz frequencies to obtain dual-plane seamless communication.
  • Proposed and verified massive-MIMO in high-speed train environment with distributed femto-cells and 5G-mmwave. Obtained in-train network performance to find per-user achievable trhoughput to be offloaded.
  • Created a bash-pipeline between online small-scale fading calculated values and NS3 modules
  • New NS3 modules created for NS3-mmwave to simulate high-speed train environment (tunnel, viaduct, etc.), femto cells and EPC-independent mmwave handover.
  • Developed and formalized 28 GHz mmwave 5G-NR and LTE environmental end-to-end simulator for passenger train network
Keywords: 5G-NR, LTE, vehicular networks, C++, USRP, bash, NS3, MIMO, massive-MIMO, MU-MIMO, perfect-CSI

Large-scale uncertainty in cyber-physical human systems-A formal verification approach

  • Proposed a novel method of theoretical formal verification: topographical approach of polygonal/polytopic approximation
  • Analyzed topographical model on fuzzy and uncertain measures to show complete qualititative and quantitative notion of over/under approximation
  • Tested the theoretical approach with real-world data collected from Carla
  • Designed human-uncertain input collection in Carla (from IMU sensors) to add uncertain steering noise/braking and signal decisions (fuzzy uncertain)
  • Guaranteed fidelity of 73% with 1-30s runtime of complete formal verification
  • Formally proved theoretical applications of the methodology in autonomous cars.

Remote VR Teleoperation with Baxter

  • Established and integrated remote teleoperated embedded system for 80mile remote laboratory
  • Incorporated 14 DOF kinematics control of humanoid
  • Connected Unity-ROSbridge-ROS to teleoperate Baxter with HTC vive
  • Programmed 360° camera integration for live feed in HUD
See More Here!.

Awards, Fellowships and Memberships

  • UNL Electrical & Computer Engineering Graduate Poster Comptetition Awards-2018

    • Second honors for presenting Novel wireless communication framework for High Speed Trains-UPWARC (award amount $200)

  • ASME Rail Transportation Division (RTD) Graduate Student Conference scholarship

    • The travel grant was given to me in 2017 to attend Joint Rail Conference (JRC) in Philadelphia. The grant covers air, surface and subway travel, food, lodging along with conference registration (award amount $1100).

  • College of Engineering Outstanding Masters Thesis

    • The award was given for the thesis "5G-UCDA Multi Antenna-To-Logical Cell Circular FIFO Mapping Strategy For High-Speed Train Wireless Communications" in Spring 2017 (award amount $500)

  • Nebraska Engineering Recruitment Fellowship

    • The award was given for the period of 2017-18 and 2018-19. (awards amount $10,000)

  • Milton Mohr Fellowship

    • The award was given for the period of 2019 for excellent research activities. (award amount $1,000)

  • Holling Fmaily Teaching Fellowship

    • The award was given for the period of 2019-20 for the excellence in teaching (awards amount $4,000).

  • NSF-Infocom Travel Grant

    • The award was given presenting behavioral-social D2D paper in Infocom, Paris, 2019 (award amount $1,250).

  • Student Luminary Award

    • Honorable mention was given for the period of 2018.

  • College of Enginnering Student Travel Grant 2017

    • The award was given to attend Joint Rail Conference, 2017 in Philadelphia.(award amount $500)

  • ACM Sigcomm Travel grant

    • The travel grant was awarded to attend IEEE COMSNETS, 2018 in Bengaluru, India. (award amount $900).

Publications

You may have noticed my publications entail solving different problems. However, I majorly focused in designing and proposing a novel wireless communications architecture for high speed trains. The fascinating trivia about high speed train is that they can move at a speed of 500kph. At that speed it would take only 8 hrs from Washington DC to Los Angeles. Our vision is to provide the opportunity to use your phone seamlessly for video streaming to video or voice calls. And yes, nobody will ever ask you to switch off your phone inside a train. You as a passenger will also be a vital component of ensuring safety of your journey.

Articles

2020
  1. Banerjee, S.; Ghasemzadeh, P.; Hempel, M. and Sharif, H. Topography relaxation in determining unsafe state intersections for uncertain cps. In IEEE Sensors Letters, 4 (4): 1-4, 2020.
  2. Ghasemzadeh, P.; Banerjee, S.; Hempel, M. and Sharif, H. A novel deep learning and polar transformation framework for an adaptive automatic modulation classification. In IEEE Transactions on Vehicular Technology, 69 (11): 13243-13258, 2020.
2019
  1. Banerjee, S.; Santos, J.; Hempel, M.; Ghasemzadeh, P. and Sharif, H. A novel method of near-miss event detection with software defined radar in improving railyard safety. In Safety, 5 (3): 55, 2019.
2017
  1. Banerjee, S. 5g-ucda multi antenna-to-logical cell circular fifo mapping strategy for high-speed train wireless communications.
2016
  1. Banerjee, S.; Hempel, M. and Sharif, H. A Survey of Wireless Communication Technologies & Their Performance for High Speed Railways. In Journal of Transportation Technologies, 6 (1): 15-29, 2016.

In Proceedings

2020
  1. Ghasemzadeh, P.; Banerjee, S.; Hempel, M. and Sharif, H. A new framework for automatic modulation classification using deep belief networks. In 2020 IEEE International Conference on Communications Workshops (ICC Workshops), pages 1-6, 2020.
  2. Banerjee, S.; Hempel, M.; Ghasemzadeh, P.; Sharif, H. and Omar, T. Wireless communication for high-speed passenger rail services: A study on the design and evaluation of a unified architecture. In 2020 Joint Rail Conference, 2020.
  3. Ghasemzadeh, P.; Banerjee, S.; Hempel, M.; Harms, A. and Sharif, H. Detecting dark cars using a novel multi-antenna aei tag reader design for increased read distance and reliability. In ASME/IEEE Joint Rail Conference, pages V001T11A006, 2020.
  4. Ghasemzadeh, P.; Banerjee, S.; Hempel, M.; Sharif, H. and Omar, T. Evaluation of machine learning-driven automatic modulation classifiers under various signal models. In 2020 Joint Rail Conference, 2020.
  5. Ghasemzadeh, P.; Banerjee, S.; Hempel, M.; Harms, A. and Sharif, H. Detecting dark cars in railroad operations using multi-antenna beamforming for long-distance discovery and identification of aei tags. In 2020 International Wireless Communications and Mobile Computing (IWCMC), pages 1561-1566, 2020.
2019
  1. Ghasemzadeh, P.; Banerjee, S.; Hempel, M. and Sharif, H. Accuracy analysis of feature-based automatic modulation classification with blind modulation detection. In 2019 International Conference on Computing, Networking and Communications (ICNC), pages 1000-1004, 2019.
  2. Banerjee, S.; Hempel, M.; Ghasemzadeh, P.; Albakay, N. and Sharif, H. High speed train wireless communication: Handover performance analysis for different radio access technologies. In ASME/IEEE Joint Rail Conference, pages V001T03A006, 2019.
  3. Banerjee, S.; Hempel, M.; Albakay, N.; Ghasemzadeh, P. and Sharif, H. A framework for high-speed passenger train wireless network radio evaluations. In 2019 Joint Rail Conference, 2019.
  4. Banerjee, S.; Hempel, M.; Ghasemzadeh, P. and Sharif, H. A novel biomimicry-based analysis of d2d user association retention for achieving maximal throughput. In 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pages 2036-2042, 2019.
  5. Banerjee, S.; Hempel, M. and Sharif, H. A novel behavioral Social-Aware D2D user association scheme based on Self-Propelled voronoi. In IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 397-402, 2019.
  6. Banerjee, S.; Hempel, M.; Ghasemzadeh, P.; Qian, Yi and Sharif, H. A novel approach to social-behavioral d2d trust associations using self-propelled voronoi. In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), pages 1-5, 2019.
  7. Ghasemzadeh, P.; Banerjee, S.; Hempel, M.; Alahmad, M. and Sharif, H. Analysis of distribution test-based and feature-based approaches toward automatic modulation classification. In 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pages 1-6, 2019.
2018
  1. Banerjee, S.; Hempel, M. and Sharif, H. A novel proposal for implementing massive mimo and user and control plane decoupling with upwarc. In 2018 10th International Conference on Communication Systems & Networks (COMSNETS), pages 228-234, 2018.
  2. Banerjee, S.; Santos, J.; Hempel, M. and Sharif, H. A new railyard safety approach for detection and tracking of personnel and dynamic objects using software-defined radar. In ASME/IEEE Joint Rail Conference, pages V001T06A014, 2018.
  3. Banerjee, S.; Rakshit, S. M.; Hempel, M. and Sharif, H. 5G-UCDA in High Speed Rail with Multi Antenna-to-Logical Cell Circular FIFO Mapping Strategy. In 2018 International Conference on Computing, Networking and Communications (ICNC), pages 665-669, 2018.
  4. Rakshit, S. M.; Banerjee, S.; Hempel, M. and Sharif, H. Towards an integrated approach for distributed 5G cell association in UDN under interference and mobility. In 2018 International Conference on Computing, Networking and Communications (ICNC), pages 810-814, 2018.
  5. Banerjee, S.; Hempel, M. and Sharif, H. Performance analysis of a novel passenger train wireless communications architecture for high-speed trains. In 2018 International Conference on Selected Topics in Mobile and Wireless Networking (MoWNeT), pages 1-8, 2018.
  6. Ghasemzadeh, P.; Banerjee, S.; Hempel, M. and Sharif, H. Performance evaluation of feature-based automatic modulation classification. In 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS), pages 1-5, 2018.
  7. Banerjee, S.; Hempel, M. and Sharif, H. Human Interactions and User Association in Device-to-Device Communications in Terms of Biological Jamming. In 2018 IEEE Globecom Workshops (GC Wkshps), pages 1-5, 2018.
  8. Banerjee, S.; Hempel, M. and Sharif, H. Providing reliable throughput with upwarc as a wireless communications architecture for high-speed trains. In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), pages 1-5, 2018.
2017
  1. Banerjee, S.; Hempel, M. and Sharif, H. Novel concept of d2d mobility modeling utilizing biological cell jamming/unjamming paradigm. In 2017 IEEE International Conference on Communications Workshops (ICC Workshops), pages 528-533, 2017.
  2. Banerjee, S.; Hempel, M. and Sharif, H. A survey of railyard worker protection approaches and system design considerations. In ASME/IEEE Joint Rail Conference, pages V001T06A007, 2017.
  3. Banerjee, S.; Hempel, M. and Sharif, H. A review of workspace challenges and wearable solutions in railroads and construction. In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), pages 91-96, 2017.
  4. Banerjee, S.; Hempel, M. and Sharif, H. Decoupled u/c plane architecture for hetnets and high speed mobility: research directions & challenges. In 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), pages 1-6, 2017.
  5. Rakshit, S. M.; Banerjee, S.; Hempel, M. and Sharif, H. Fusion of VR and Teleoperation for Innovative Near-Presence Laboratory Experience in Engineering Education. In IEEE International Conference on Electro Information Technology, 2017.
  6. Banerjee, S.; Hempel, M. and Sharif, H. Upwarc: User plane wireless adaptable reliable communication, a new architecture for high speed train passenger internet services. In 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pages 183-189, 2017.
2016
  1. Rakshit, S. M.; Hempel, M.; Banerjee, S. and Sharif, H. Towards a modular iot network model: Low power radio domain use-case in linear-topology wireless sensor network. In 2016 International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT), pages 1-7, 2016.

PhD Theses

2020
  1. Banerjee, S. BIOTRUST: A Novel Biologically Inspired Optimal TRusted User Social Trait-Aware Association for Wireless Proximity Services in 5G and Beyond. Ph.D. Thesis, The University of Nebraska-Lincoln, 2020.

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