Hirak Mazumdar

A fusion researcher ( Interdisciplinary Programme of Integrated Nanotechnology) ·
Cheongju University · South Korea·
hirakm.tech.ece@gmail.com

I am an Algorithm developer and Researcher on Computer Vision, Image Processing and Machine Learning Algorithms. I've conducted researches on machine learning algorithms for biomedical or chemical engineering. My current research interest includes developing industrial big data analysis, smart medical devices, intelligent manufacturing systems, and intelligent quality assurance.

Experience

Post Doctoral Researcher

Cheongju University

Post Doctoral Researcher for Data-Driven Approach for Fault Detection and Diagnostic in Semiconductor Manufacturing and Development of artificial intelligence semiconductor design SW (Software).
Duties and Responsibilities:~
Design methodology for advanced technology: airgap, SADP, SIV, etc.
Machine-learning for computer-aided design.
Model-to-hardware correlation (MHC) based design methodology.
Near threshold voltage (NTV) design.
Interconnect corner modeling.

2021 - Present

Research Development Engineering Intern (Division of Semiconductor Design Engineering)

Singapore-MIT Alliance for Research & Technology Centre (Singapore)

Cell library characterization using machine learning.
Neuromorphic computing.
Computer aided design.
Build up Deep learning model and validation.

June 2021 - Nov 2021

Hyundai Motor Company

Research Project Assistant
Mapo-gu, Seoul, Korea

CFRP pattern defect detection.

Sep 2019 - July 2020

Hyundai Motor Company

Research Project Assistant
Mapo-gu, Seoul, Korea

CRISP Data management

Dec 2018 - July 2020

Samsung Electronics

Research Project Assistant
Mapo-gu, Seoul, Korea

Big data and Sensor technology.
Sensor characteristics and fault prediction.
Build up complex machine learning algorithms and their quality assessment.

July 2016 - July 2020

IEEE member

IEEE Young Professionals

The IEEE Young Professionals is an international community of innovative members and volunteers. Members of this community are interested in elevating their professional image, expanding their global network, connecting with peers locally and giving back to the community.

Jan 2014 - Present

Assistant Professor

RVS College of Engineering and Technology

Jamshedpur Area, India
Assistant Professor (Faculty) in Electronics & Communication Engineering with 5 years experience in academic industry .Teaching,Research, Business Strategy, Electronics, Engineering, Detail Oriented, Analytical bent of mind,smooth functioning of the classes and laboratories,management of departmental faculty and staff etc. Member of the NBA committee of college, Course Co-Ordinator of ECE Department, Framing of Syllabus etc.

Feb 2011 - Jan 2016

Education

Sogang University

Samsung Dream Scholarship
Computational Biology - Machine Learninng - Development of Algorithm for Sensor technology
2016 - 2017

Sogang University

Doctor of Philosophy (PhD)

Department of Biomedical Engineering (Integrated Medical Biotechnology).
Biomedical Researcher, Nanobiotechnology, Nanomedicine, MEMS, NEMS & Biosensor
First (94.1%)

2017 - 2021

University of California San Diego

Associate's degree

Machine Learning with Big Data Analysis

2018 - Present

Skills

  • Research expertise:~VLSI Physical Design, Machine-Learning for Computer-Aided Design, Neuromorphic Circuit Design,cell-library characterization using machine learning techniques, Design methodology for advanced technology: airgap, SADP, SIV, etc., Model-to-hardware correlation (MHC) based design methodology, Near threshold voltage (NTV) design, Interconnect corner modeling
  • Computational Tools/Languages: MATLAB, Comsol Multiphysics, TIBCO Spotfire, SPSS-IBM, HeidiSQL, Python, OpenCV and R
  • Theory: Semiconductor device physics, Real Time Sensor ,Sensor, Nano biosensor, Biosensor Simulation, Fluorescence Spectroscopy, Microfluidics, Image Processing, Nanoparticle Imaging, Data analysis, Statistical analysis, Computational Biology, Machine Learning, Deep Learning, CNN and Super-Resolution.
  • Experimental Skills: Hands-on experience in fabrication (Spin coating, Photolithography, Etching, etc.)
  • Accomplishments: 3 SCI Journal (Wiley and Springer), 4 Conference Papers (IEEE) Paper in Progress: 1 SCI Journal papers with cell library characterization using machine learning techniques. (Algorithm development, Computational analysis), 3 Poster Presentation (Nano-Korea 2016~2018)

Interests

Over the last couple of years, I'm working with Bigdata and implemented many Algorithm, based on Wafer Defect during fabrication process and related to many optimization techniques. I've working experience with two top tier company where I've worked with machine learning and data fault analysis. Beside this I've completed my doctoral thesis based on computer vision, image processing.

Previously I've done my research on machine learning algorithms development for big data especially semiconductor sensor fault detection. My research interest includes Nanotechnology and Nano Biosensor Simulation and computational Biology with numerical Simulation. I'm also experienced with microarrays image analysis with fluorescent biomaterials and also various cell culture using Image Processing techniques.

Awards & Certifications

  • Artifical Intelligence Foundation: Machine Learning - LinkedIn (2021)
  • Mistakes to Avoid in Machine Learning - LinkedIn (2021)
  • Python Statistics Essential Training - LinkedIn (2021)
  • Introduction to Programming Using Python - University of California, Los Angeles (2018)
  • Machine Learning with Bigdata Analysis - University of California San Diego (2018)
  • Introduction to Big Data - Stanford University (2018)
  • Statistical Learning - Stanford University (2018)
  • Algorithms: Design and Analysis - Stanford University (2018)
  • Patent:- 1 US Patent registration,1 Korean Patent issued