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Dr. PANKAJ PAL 

Assistant professor

Department of Information Technology

RCC Institute of Information Technology, Kolkata

A Unit of RCC Institute of Technology, an autonomous Society of Department of Higher Education, Govt. of West Bengal.

(LMISTE, MIE, C. Eng., MIETI, MACM, MIAENG.)

About

About

Dr. Pankaj Pal did his Ph. D. (Engineering) in the in the field of Soft Computing with Quantum Computing. He completed Masters in Information Technology from IIEST, Shibpur, W.B., India. Prior to this he did his Bachelors in Engineering in the field of Electronics and Communication Engineering from The Institution of Engineers, India, and Bachelors in Science from University of Calcutta, W. B., India. He is currently an Assistant Professor in the department of Information Technology, RCC Institute of Information Technology, Kolkata, India. He is a co-author of research publications of international journals, book chapters and conference proceedings. He is a reviewer/co reviewer of different international journals, proceedings, etc. He is a life member of The Institution of Engineers (India) and also in the member of LMISTE, MIETI, MACM, MIAENG. He is a Chartered Engineer, IEI (India). His research interests include soft computing and quantum computing, Security measure using IoT, etc. His 28 years of teaching with Basic Electronics, Analog and Digital Electronics, Circuit Theory and Networks, Control System Engineering, Analog and Digital Communication Engineering, Advanced Communication Engineering, Microprocessors and Microcontrollers, Computer Architecture, Digital Signal Processing, Electronics System Design, Electrical and Electronics Instrumentation and Measurement.

e-research link

Research Activity

Research Activity

01

Journals

02

Book Chapters

03

Conference Proceedings

04

Reviewer

05

Ad Hoc Reviewer

1. P. Pal, S. Bhattacharyya, J. Platos and V. Snasel, A brief survey on image segmentation based on quantum inspired neural network, International Journal of Hybrid Intelligence, 2020 (Accepted).

2. P. Pal, S. Bhattacharyya and A. Mani, Pure Color Object Extraction from a Noisy State using Quantum Version Parallel Self Organizing Neural Network, International Journal of Computers and Applications (TJCA), vol. 38, no. 2-3, pp. 164-186, 2016.

3. S. Bhattacharyya, P. Pal and S. Bhowmick, Binary Image Denoising Using a Quantum Multilayer Self Organizing Neural Network, Applied Soft Computing, vol. 24, pp. 717-729, 2014.

4. S. Bhattacharyya, P. Pal and S. Bhowmick, A Quantum Multilayer Self Organizing Neural Network For Binary Object Extraction From A Noisy Perspective, International Journal for Computer Systems and Network Technologies (IJCSNT), vol. 3, no. 1, pp. 1-13, 2014.

1. P. Pal, S. Bhattacharyya and N. Agrawal, (eds. S. Bhattacharyya), Grayscale Image Segmentation with Quantum-Inspired Multilayer Self-Organizing Neural Network Architecture Endorsed by Context Sensitive Thresholding, Quantum-Inspired Intelligent Systems for Multimedia Data Analysis, IGI Global, Hershey, USA, pp. 141-177, 2018.

2. P. Pal and S. Bhattacharyya, (eds. S. Bhattacharyya), True Color Image Segmentation by MUSIG Activation Function Using Self-Supervised QMLSONN Architecture With Context- Sensitive Thresholding, Quantum-Inspired Intelligent Systems for Multimedia Data Analysis, IGI Global, Hershey, USA, pp. 213-261, 2018.

1. S. Bhattacharyya, P. Pal and S. Bhowmick, A Quantum Parallel Self Organizing Neural Network (QPSONN) For Pure Color Object Extraction From A Noisy Background, in Proceedings of 2015 5th IEEE International Conference Proceedings on Communication System and Network Technologies (CSNT-2015), pp. 1129-1135, 2015.

2. S. Bhattacharyya, P. Pal and S. Bhowmick, A Quantum Multilayer Self Organizing Neural Network For Object Extraction From A Noisy Background, in Proceedings of 2014 4th IEEE International Conference Proceedings on Communication System and Network Technologies (CSNT-2014), pp. 512-517, 2014.

  1. “De-noising of Binary Image using accelerated Local Median-Filtering Approach”, IGI Global, USA

  2. “Implementation of Lifting-Scheme Discrete Wavelet Transform using Modified Multiplier” ICACCP-2017 as International Conference.

  3. Journal IJSSSP: Improving Effectiveness of Process Model Matchers using Wordnet Glosses, 19. 11. 2019.

  4. Journal IJSSSP: Analyzing information security risk ontologies, 28.12.2019.

  5. Journal IJSSSP: Handling Minority Class Problem in Threats Detection Based on Heterogeneous Ensemble Learning Approach, 19.02.2020.

  6. Journal IJSSSP: Graph Classification Using Back Propagation Learning Algorithms, 27.03.2020.

  7. Journal IJSSSP: Anomaly-Based Intrusion Detection Systems for Mobile Ad Hoc Networks: A Practical Comprehension, 03.07.2020.

  8. Journal IJSSSP: Cyber Security and COVID-19 Understanding cyber predators and vulnerabilities for teenagers: CYBER VULNERABILITY AND MITIGATION FOR TEENAGERS, 09.01.2021.

  9. Journal IJSST: Bullying, Cyberbullying, and Parental Responsibility, 30.03.2021.

  10. Journal IJSST: Anti-Raider ATM System Using Mobilenetv2, 03.05.2021.

  1. ICACCP - 2017 submission 341: TITLE: Implementation of Lifting-Scheme Discrete Wavelet Transform using Modified Multiplier AUTHORS: Kishore Kumar Gundugonti and Balaji N. July 2017

  2. Journal of on “Improving Effectiveness of Process Model Matchers using Wordnet Glosses”, IJSSSP, IGI Global, USA, 2019.

  3. Journal of on “Analysing information security risk ontologies”, IJSSSP, IGI Global,     USA, 2019.

  4. Physics Letters A, ELSEVIER: Title: Self-Organizing Quantum Networks, awarded since August 2019.

  5. Journal of on “Handling Minority Class Problem in Threats Detection Based on Heterogeneous Ensemble Learning Approach”, IJSSSP, IGI Global, USA, 2020.

  6. Journal of on “Graph Classification Using Back Propagation Learning Algorithms”, IJSSSP, IGI Global, USA, 2020.

  7. Journal of on “Anomaly based Intrusion Detection Systems for Mobile Ad Hoc Networks: A Practical Comprehension”, IJSSSP, IGI Global, USA, 2020.

Session Chair

Appointed as a Session Chair in the International Conference MECON 2022 on 10th March 2022 from 02:15 pm - 03:45 pm
Training
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