Bashirul Azam Biswas

Mr. Biswas have two years of industrial experience in ASIC design area and He has joined ULAB in September,2017.

To download the complete CV, click here.

Ph.D. in ECSE (Ongoing) , Rensselaer Polytechnic Institute (RPI) , 2024 

B. Sc. in EEE Major- Communication , Bangladesh University of Engineering & Technology (BUET) , 2014 

H.S.C , Dhaka Residential Model College , 2008  

S.S.C , Monipur High School, Dhaka , 2006    

Iris Recognition
Biometric Analysis

Project Experiences:

• Design of 4x4 Sudoku Game in Proteus.
• Design of Dot Matrix  Display  in Proteus and Implementation   in PCB.
• Power Flow Analysis  of a 9 bus Systemin   PSAF.
• Implementation of a step down transformer.
• Design ofa transmitter and receiver operating in high frequency  region.
• Design of 8bit  PC in Proteus.

Software and Programming Skills:

• MATLAB 
• PSpice 
• Cadence
• Verilog  
• PSAF 
• Proteus   
• MicroC   
• AVR 
• ARES  
• Turbo C (C Programming)
• VisualBasic(C++) 
• Eclipse(  Java) 
• Auto Cad 
• TCL
• Perl
• AP 
• Calibre

Project works in Graduate Courses:

Advanced Digital Signal Processing (April, 2017 at BUET)

• Estimating random channel impulse response using LMS, VSS-LMS, NLMS and RLS algorithms
• ECG and EOG canceller using VSS-LMS and an acoustic Echo canceller using RLS
• Recovery of reverberated signal using adaptive beam former and LP residual signal
• Implementation of  Piseranko, MUSIC, minimum variance, Welch and AR modelling

Digital Speech Processing (Oct, 2017 at BUET)

• Music and speech classification using GMM Information and Coding Theory (April, 2017 at BUET)
• Protein similarity analysis using Kolmogorov complexity.

Digital Image Processing (April, 2018 at BUET)

• Non-cooperative iris segmentation by convolutional encoder decoder network.

Genomic Signal Processing (April, 2018 at BUET)

• Protein similarity analysis by wavelet decomposition of cellular automata images.

Computer Vision (Fall 2019 at RPI )

• Linear and non-linear estimation of camera projection matrix
• Stereo calibration and 3D reconstruction from stereo images
• Kalman    and  Particle  filtering  for  object  tracking  and  factorization  method  for  3D  structure deduction

Pattern Recognition (Fall 2019 at RPI)

• Protein function prediction from protein sequences.

Introduction to Deep Learning (Spring 2020 at RPI)

• Image classification using multi-class logistic regression, Neural network and CNN
• Human pose estimation with spatial-temporal RNN
• Action Recognition with spatial-temporal RNN Computational Optimization (Spring 2020 at RPI)
• Robust PCA using ADMM and ALM solver

Visual Scene Graph and its Applications (Spring 2020 at RPI)

• Evaluating existing models of scene graph generation

Introduction to Probabilistic Graphical Model (Fall 2020 at RPI)

• Implementation of Belief Propagation, Approximate Inference, Structural EM and MRF
• Learning and Inference under uncertain evidence

Career History:

Physical Chip Design Engineer at PrimeSilicon

• Duration: From September, 2014 to June, 2016.
• Tapeout projects - 28nm tech node 22x17.3 mm2 chip (140M GC) & 11x11 mm2 chip (57M GC)
• Software Learned – Cadence, Verilog, AtopTech Aprisa, Calibre Physical Verification, Quantus QRC Extraction, Conformal LEC, Tempus Timing Signoff Solution, Unix Environment.
•  Programming Languages -- Perl, TCL/Tk

Lecturer at Dept. of EEE, University of Liberal Arts Bangladesh (ULAB)

• Duration: From September, 2017 to May, 2019.
• Courses Taught –  Electrical Circuits I, Physics, Electric Machines I, Analog & Digital Communication, Control System Engineering, Microwave Engineering, Wireless Communication.

Teaching Assistant at Dept. of ECSE,  Rensselaer Polytechnic Institute

• Duration: Fall 2019 & Spring 2020.
•  Courses Taught –  Embedded Control, Computer Components and Operations

Research Assistant at Dept. of ECSE,  Rensselaer Polytechnic Institute

• Duration: From Summer 2020 to Spring 2021
• Research Project in collaboration with IBM – Developing new algorithms for scene graph generation

B. A. Biswas,  Shams S. T. Khan, S: M. Mahbubur  Rahman  (2014, December). Discriminative  masking for  non-cooperative iriscode  recognition.  Paper presented  at theSth-Internaiional   Conference  on Electrical  and Computer  Engineering  (ICECE-2014).

BA Biswas, SSI Khan, SMM Rahman, “Discriminative masking for non-cooperative IrisCode recognition,” in Proceedings 8th  International Conference on Electrical and Computer Engineering, pp. 124-127, Dhaka, Bangladesh, Dec. 2014.

MM   Rahman,   BA   Biswas,   MIH   Bhuiyan,   “Protein   Similarity   Analysis   by   Wavelet Decomposition of Cellular Automata Images,” in 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox's Bazar, Bangladesh, Feb. 2019