Vikram Singh – Career Sketch

Short Bio

I completed my under-graduation with first class (Hons) in 2015. I developed curiosity towards signal processing in my early days of B.Tech. and designed various hardware projects on signal processing. I secured \(1^{st}\) position in circuit simulation and science quiz “Quizotica”, and \(2^{nd}\) position in hardware design competition “Electronic Junk-yard” in college.
I got the opportunity to study at Indian Institute of Technology, Kanpur after securing 99.8 percentile in national level entrance exam, (GATE) and clearing an interview. I pursued my masters in Signal Processing and Communications (SPCOM) where I received “Award for Academic Excellence” for my academic achievements in year 2016-17. I completed my research work in Multimedia Wireless Networks (MWN) Lab with Professor Aditya Jagannatham. My research was based on the problem of estimation of wireless channel in Multiuser(MU) MIMO Systems.
After graduation, I worked for Intel India as a System on Chip (SoC) Design Engineer for Scalable Performance CPU Development Group (SDG). Currently, I worked as a Research Engineer at Centre of Excellence in Wireless Technology (CEWiT), Indian Institute of Technology, Madras (IITM) which is contributing towards the most ambitious project (5G Testbed Project) of Department of Telecommunication, India.
I research on various aspects of 5G and 6G wireless network specifically in Positioning, Flexible Duplex, Mobility management, Beamforming and initial access optimization. I work on artificial intelligence related to various aspects, such as air interface enhancement, of 5G and Beyond Wireless Networks. I have filed Indian/international patents and published research papers in national and international IEEE conferences. I actively participate and contribute to TSDSI and 3GPP meeting.
I co-founded GigaYasa Wireless (pronounced Jigyasa) with Ravinder (CEO) in 2021 which aims at designing simulation and emulation tools for 4G/5G/6G wireless networks. These tools can be used for the development and testing of wireless network for current and upcoming generation. Furthermore, the simulators can simplify the standards based research by providing API level tools in C, PYTHON and MATLAB.

CV

Skills

• I have developed several end to end projects in C\(/\)C++, Java, Python and MATLAB. Most of these work were related to my research. I have successfully developed highly optimized state of the art algorithms, methods and experimental\(/\)simulation setups in these programming languages, tested them exhaustively and integrated them into system level simulator. I can script in Perl, TCL\(/\)Tk, Python and MATLAB very well.

• I can write test-benches in Verilog and VHDL but never implemented any end to end system or block. My knowledge in hardware prototyping is novice.

• I have designed various embedded systems on platforms like Atmel, PIC, AVR and Arduino for applications in signal processing, robotics and control systems.

• I have a decent hand on Numpy, SciPy, Matplotlib, scikit-learn, pandas, TensorFlow, PyTorch, GNUplots, itpp, boost, CMake, Git, Valgrind.

Research

• I have research experience in various domains of wireless communication, beamforming, precoding, channel estimation, mobility management, positioning, channel modelling, dynamic uplink-downlink and resource allocation, specially in physical layer (L1). I have investigated the optimizations in these domains using data driven approaches from machine learning, deep learning and reinforcement learning such as convolutional neural networks, sequence modelling with\(/\)without reward and model based/model free decision making under uncertainty for various applications.

• I have a decent understanding of 3GPP standards up-to release 16. I understand the basic standards well and fairly good with standards related to beam management, positioning and mobility management.

• I understand NYUSIM, QUADRIGA and 3GPP channel model(38.901) very well.

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Click here to view my Google Scholar profile.
To read my views on Quora on different spectrum of questions can be viewed here.