Mehnaz Rahman

San Jose, CA *****

408-***-****

ad2tqm@r.postjobfree.com

OBJECTIVE

Seeking a challenging technical program management opportunity in wireless, machine learning, software, signal processing, IOT, hardware engineering, and algorithmic & architecture development. Technical hands-on experience in multiple area of wireless communication, and solid R&D portfolio of innovations with multiple US patents and landmark publications in wireless communications.

Immigration Status US Citizen

SKILL SETS

Skills Wireless Communication (5G+, Wireless chip to chip communication, MIMO, Massive MIMO user scheduling using ML and GNN, K-best Decoder, prototyping, V2X communication), technology and IP evaluation, project technical leadership and management.

Leadership Acting as a coordinator and product owner between hardware and software group, analyze and evaluate decision making, performance evaluation and also working closely with the business clients and their requirements. Collaboration/Research Managing and handling projects with hand to hand collaboration, workload distribution, code delivery etc. between Intel Santa Clara, CA, Hillsboro, OR and Mexico team. EDUCATION

Ph. D. in Computer Engineering, Aug'12 to Aug'16

Texas A&M University, College Station, TX USA

GPA 3:80 out of 4:00

Thesis: An Iterative Soft Decision Based LR-Aided MIMO Decoder B.S. in Electrical and Electronics Engineering (EEE), Jan'06 to Feb'11 Bangladesh University of Engineering and Technology (BUET) Dhaka, Bangladesh GPA 3:72 out of 4:00

Thesis: Analysis of macro-bending loss and modal properties of optical fiber by FEMLAB with generalized approaches of Marcuses loss formula

COMPUTER SKILLS

Prog. Lang. C, MATLAB, python, SIMULINK, Verilog, Xilinx, Python, Perl WORK EXPERIENCE

Aug’18 – Mar ‘23 Technical Program Manager (50% time) at Intel Research Lab, Wireless Multi-Communication Research Lab (WMCR), Santa Clara, CA, USA.

MuMIMO with GNN: Working as a coordinator between algorithm and hardware team for GNN (Graph Neural Network) based multi-user MIMO scheduling. Responsibilities include modifying the algorithm to attain target performance, performance evaluation and required modification, training of GNN, test validation etc. Chip to Chip THz Com.: Working as a coordinator and product owner between algorithm and hardware team for THz chip to chip communication. Responsibilities include modifying the algorithm to attain target performance, make it optimized and hardware friendly, decision making, performance evaluation, and handing over the code to the hardware team for tape out.

Mmwave beamforming: modifying the algorithm to make it optimized and hardware friendly, decision making, performance evaluation, reporting directly to the director.

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Aug ‘18 – Mar ‘23 Sr. Research Scientist (50% time) at Intel Research Lab, Wireless and Communication Research Lab (WCR), Santa Clara, CA, USA.

MuMIMO with GNN: Pioneering project, includes algorithmic design, GNN training with reinforcement learning, test cases evaluation etc. Skill required: Matlab, python. Tensorflow. Chip to Chip THz Com.: Pioneering project, includes algorithmic design, channel decoding and implementation of chip to chip Tera Hertz wireless communication. Skill required: Matlab. Mmwave beamforming: Developed fixed point realization in order to implement and demonstrate mmwave multi user MIMO wireless communication on hardware. Responsibilities include modifying the algorithm to make it optimized and hardware friendly, decision making, performance evaluation and also working closely with the business clients and their requirements reporting directly to the director. Skill required: MATLAB, Verilog. V2X Research: Developed a low-complexity and hardware efficient multi user MIMO detection algorithm considering V2X scenario and near far effects. The algorithm is scalable to any MIMO and user configuration. Skill required: MATLAB. June ‘16 – Aug ‘18 Research Scientist at Intel Research Lab, Wireless and Communication Research Lab (WCR), Santa Clara, CA, USA.

Transformational Project includes implementing efficient communication Architecture & Design: algorithms using neural network. Built a customized neural network with I/O, and hidden layers; generated input and targeted output vectors from Markov Chain Monte Carlo (MCMC) code and trained the network accordingly to follow the targeted output pattern. Skill required: MATLAB.

5G Prototype: Generated input vectors, performed tests for Tx and FPGA interaction, and signal processing on Rx side for 1x1, 1x2, 2x1 and 2x2 MIMO. Skills required: C/C++, MATLAB, Verilog, and Perl. Mmwave MIMO: Performed tests for 1 user 1 stream, 2 users 1 stream each and 1 user 2 streams MIMO configuration. Skills required: C/C++, MATLAB, and Perl.

May '15 – Aug '15 Graduate Technical Intern, Intel Research Lab (Micro-Architecture Research Lab (MRL)), Santa Clara, CA, USA.

Performed stress testing on physical layer of LTE modem using C++ to verify L1C behavior and emulated PHY-PAL interaction. May '14 – Aug '14 Graduate Technical Intern, Intel Research Lab (Micro-Architecture Research Lab (MRL)), Santa Clara, CA, USA.

Implemented 2G on Intel Architectures (MATLAB, C++ and Intel GPU) and achieved real time data rate as 277K symbols=sec using Intel GPU.

May '13 – Aug '13 Graduate Technical Intern, Intel Research Lab (Micro-Architecture Research Lab (MRL)), Hillsboro, OR, USA.

Submitted a patent on complex domain MIMO decoder and implemented it using C++ and MATLAB. Aug ’12 – May ’16 Teaching Assistant Texas A&M University, College Station, TX USA. Taught ECEN 248 during Fall and Spring 2013, Fall 2014, Spring and Fall 2015; ECEN 454/714 during Spring 2014 and 2016. Awards/Certificate

• WCR Team award 2019 at Intel Labs

• Intel Employee Recognition Award for 2017 and 2019 at Intel Labs

• Certificate of PMP Training Completion

PUBLICATIONS

Book K-Best Decoders for 5G+ Wireless Communication, M. Rahman, and Dr. G. Choi, in Springer International Publishing, September 2016.

Patent High-isolation contactless waveguides (CWG) for enabling scalable 3D heterogeneous chiplet integration (submitted), Intel Lab. Patent Sub-THz Wireless Chip-to-Chip High Speed Data Transport Interconnect (submitted), Intel Lab. Patent Wireless chip to chip communication with selective frequency multiplexing with different modulation scheme (submitted), Intel Lab. Patent Method and devices for signal demodulation (submitted), Intel Lab. Patent Context aware synchronization method for decentralized V2V networks, Sep 17, 2019, US10420051B2. Patent Joint equalization and non-linearity mitigation at the receiver with mixed signal processing (under review), Intel Labs. Patent Spatial multiplexing aided spatial modulation for MIMO systems (under review), Intel Lab. Patent Geolocation-based Pilot Sequence Assignment for De-centralized V2X Networks (under review), Intel Lab. Patent Multi-User Detection Friendly Pilot Design for Vehicle-to-Vehicle Communications (under review), Intel Lab. Patent Interworking of Vehicle-to-Anything (V2X) systems (under review) with Intel Lab. Patent Priority-Based Collision-Avoidance Multi-User Access Scheme in Vehicle-to-Vehicle Communications (under review), Intel Lab.

Patent Multi-RAT multi-hop Vehicle-to-Anything (V2X) system (under review), Intel Lab. Patent Spatial modulation with spatial multiplexing and LR-aided K-best decoder for MIMO systems, (under review), Intel Lab. Patent Low-Power and Low-Complexity Hardware Design for K-Best MIMO Detection based on On-Demand Child Expansion and Dial- up RLimit for Optimal Decoding, (under review), Texas A&M University. Patent Complex Domain Channel Adaptive Lattice Reduction Aided MIMO Detection for Wireless Communication, International Publication Number: WO2015/047434A1, April 2015.

Journal Generalized spatial modulation with LR-aided K-best Decoder for MIMO systems, M. Rahman, R. Ramirez-Gutierrez, T. Tetzlaff, and F. Sheikh, in An International Journal of Signal Processing, Vol.12, Issue 1, May, 2018. Journal Hardware Architecture of Improved Complex K-best MIMO Decoder, M. Rahman, and Dr. G. Choi, in An International Journal of Signal Processing, Vol.10, Issue 1, April, 2016. Journal Iterative Soft Decision Based Complex K-best MIMO Decoder, M. Rahman, and Dr. G. Choi, in An International Journal of Signal Processing, Vol.9, Issue 4, November, 2015.

Journal Fixed Point Realization of Iterative LR-Aided Soft MIMO Decoding Algorithm, M. Rahman, and Dr. G. Choi, in An International Journal of Signal Processing, Vol.9, Issue 2, March, 2015 Journal An Improved Soft Decision Based MIMO Detection Using Lattice Reduction, M. Rahman, E. Rohani, J. Xu, and Dr. G. Choi, in International Journal of Computer and Communication Engineering, April, 2014. Conference LR-aided Selective Spanning with Fast Enumeration Decoder for MIMO Systems, M. Rahman, accepted, Asilomer 2018.

Conference An Iterative LR-Aided MMSE Extended Soft MIMO Decoding Algorithm, M. Rahman, E. Rohani, and Dr. G. Choi, in International Conference on Computing, Networking and Communication, February, 2015. Conference An Iterative Soft Decision Based Adaptive K-Best Decoder, M. Rahman, E. Rohani, and Dr. G. Choi, in Asilomer Conference on Signals, Systems and Computers, Nov, 2014.

Conference Channel Adaptive Complex K-Best MIMO Detection Using Lattice Reduction, F. Sheikh, E. Wexler, M. Rahman, W. Wang, B. Alex, D. Yoon, A. Chun, and H. Alavi, in 2014 IEEE International Workshop on Signal Processing Systems, Oct, 2014. Conference Asynchronous Base Band Processor For Cooperative MIMO in Satellite Communication, E. Rohani, J. Xu, T. Che, M. Rahman, and Dr. Gwan Choi, in IEEE 57th International Midwest Symposium on Circuits and Systems, Aug, 2014. Conference Signal Reconstruction Processor Design For Compressive Sensing, J. Xu, E. Rohani, M. Rahman, and Dr. G. Choi, in IEEE International Symposium on Circuits and Systems, June, 2014. REFERENCES

Anthony L. Chun (Tony), Platform Architect, ad2tqm@r.postjobfree.com

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