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👋 Hi, I’m Habibur Rahaman
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📚 I’m doing my Masters from Indian Institute of Technology Kharagpur(IIT KGP) in the Department of Computer Science and Engineering
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📫 Social Handles Below ...
- Machine Learning based Testing and Diagnosis of Digital Circuits.
- CAD for VLSI
- AI driven Hardware Security and IOT Security.
ABOUT ME
Currently, I am doing my Masters in the Department of Computer Science and Engineering from the Indian Institute of Technology, Kharagpur. My research interest focuses on VLSI test research-related topics such as FSM based Testing and Scan and Non-Scan based Testing using Machine Larning.
Indian Institute of Technology Kharagpur 2019 - Present
Masters in Computer Science and Engineering Under Prof Indranil Sengupta and Prof.Santanu Chattopadhyay CGPA: 9.71
Topic: Machine Learning Approaches for Test and Diagnosis of Digital VLSI Circuits
Department of Computer Science and Engineering
RCC Institute of Technology 2015 - 2019
Bachelor of Technology CGPA: 8.2
Department of Computer Science and Engineering
2022 VLSID DESIGN CONFERENCE - Habibur Rahaman(Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India); Santanu Chattopadhyay (Indian Institute of Technology Kharagpur, India); Indranil Sengupta (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India) ; Debesh Das (Department of Computer Science and Engineering,Jadavpur University, India) ; Bhargab B. Bhattacharya (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India) Easily Verifiable Design of Non-Scan Sequential Machines for Conformance Checking
2022 Journal of Circuits, Systems and Computers - Habibur Rahaman (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India); Santanu Chattopadhyay (Indian Institute of Technology Kharagpur, India); Indranil Sengupta (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India) Conformance Testing for Finite State Machines Guided by Deep Neural Network
2021 Artificial Intelligence Driven Circuits and Systems - Habibur Rahaman (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India); Santanu Chattopadhyay (Indian Institute of Technology Kharagpur, India); Indranil Sengupta (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India) Transfer Fault Detection in Finite State Machines Using Deep Neural Networks
2021 International Symposium on Devices, Circuits and Systems (ISDCS) - Habibur Rahaman (Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India); Santanu Chattopadhyay (Indian Institute of Technology Kharagpur, India); Indranil Sengupta (Indian Institute of Technology Kharagpur, India) A Deep Neural Network Guided Testing Approach for Finite State Machines
2021 Microelectronics Journal - LaxmidharBiswal (Department of ECE, Mizoram University, Aizawl, India); Habibur Rahaman (Indian Institute of Technology Kharagpur, India); Niladri PratapMaity (Department of ECE, Mizoram University, Aizawl, India) Clifford+T-based implementation of fault-tolerant quantum circuits over XOR-Majority Graph
2018 International Symposium on Devices, Circuits and Systems (ISDCS) - Pranab Roy (School of VLSI, Indian Institute of Engineering Science and Technology; Habibur Rahaman (Department of Computer Science and Engineering, RCC Institute of Technology, Kolkata, India) Bioassay—Protocol to layout: A DMFB based implementation
2018 Fourth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) - Habibur Rahaman (Department of Computer Science and Engineering, RCC Institute of Technology, Kolkata, India); Malay Kule (Indian Institute of Engineering Science and Technology, Department of Computer Science and Technology, Shibpur,India) Defect Tolerant Approaches for Function Mapping in Nano-Crossbar Circuits
2016 International Conference on Microelectronics, Circuits and Systems(ICMS) - Habibur Rahaman (Department of Computer Science and Engineering, RCC Institute of Technology, Kolkata, India); Malay Kule (Indian Institute of Engineering Science and Technology, Department of Computer Science and Technology, Shibpur,India) Defect Tolerant Approach For Function Mapping in Nano Crossbar Using Evolutionary Algorithms
Indian Institute of Technology Kharagpur
-- Artificial IntelligenceArtificial Intelligence : CS60045(IIT KGP)
-- Deep LearningDeep Learning : CS60010(IIT KGP)
-- Design and Analysis of AlgorithmsDesign and Analysis of Algorithms EC60074 : (IIT KGP)
-- Digital VLSI CircuitsDigital VLSI Circuits : EC6024(IIT KGP)
-- Machine LearningMachine Learning : CS60045(IIT KGP)
Teaching Assistant - IIT Kharagpur
NPTEL: Teaching Assistant for the course of Compiler Design under Prof. Santanu Chattopadhyay
[IIT Kgp] Teaching Assistant in CS60013: SMST Programming And Data Structure Theory (Aug 2021- Dec 2021)
[IIT Kgp] Teaching Assistant in CS19001: Programming And Data Structure Lab (March 2021- Jul 2021)
1) Intel InternJune 2021 - present
Working as an Intern on Automation of DFT Validation in Post Validation Group at Intel, Bangalore India
2) Indian Institute of Technology KharagpurMay 2018 - Jul 2018
Department of Computer Science and Engineering
Internship Project Title: Development of a Distributed Security Application using Blockchain Technology under the supervision of Prof. Indranil Sengupta , Department of Computer Science and Engineering, IIT Kharagpur
3) Summer Internship at Indian Institute of Engineering Science and Technology (Shibpur)Jun 2017 - Jul 2017
Department of Computer Science and Engineering
Project Title: Defect tolerant Approaches for function mapping
“Machine Learning Approaches for Test and Diagnosis of Digital VLSI Circuits”
Sponsored by Synopsys Inc.(690 East Middlefield Road, Mountain View, CA 94043, USA)
“Machine Learning Approaches for Test and Diagnosis of Digital VLSI Circuits”
Sponsored by Synopsys Inc.(690 East Middlefield Road, Mountain View, CA 94043, USA)
Exposure:- Artificial Neural Network (ANN), Machine Learning (ML), CAD for Test and Diagnosis.
Language Known :- C, C++, Python (Tensorflow, PyTorch), Verilog HDL
Tool Exposure:- Synopsys VCS (Verilog Compiler and Simulator) Tool, SimRegress tool, and Synopsys Tetramax.
- Ability to rapidly build relationship and set up trust.
- Confident and Determined.
- Ability to cope up with different situations.
Build Basic Generative Adversarial Networks (GANs) an online non-credit course authorized by DeepLearning.AI and offered through Coursera)Build Basic Generative Adversarial Networks (GANs)
Interested in Skecting and photography
Interest and Hobbies :- Internet browsing, coding, badminton and reading novel, drawing
Created by Habibur Rahaman