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Hire Dr. Debanjan K.

United States

USD 20 /hr

Fulbright Postdoctoral Fellow (Computer Science-Quantum Machine Learning)

Profile Summary

Dr Debanjan Konar received his PhD from the @Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India [January 2016-February 2021] and worked with Prof. Bijaya Ketan Panigrahi, Prof. Tapan Kr. Gandhi and Prof. Siddhartha Bhattacharyya. Recently, Dr Konar joined as a Fulbright Visiting Fellow at the School of Industrial Engineering, Purdue University, working with Prof. Vaneet Aggarwal. Prior to that, he was a Postdoctoral Research Scientist at the Center for Advanced Systems Understanding (CASUS), Helmholtz Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany [December 2021-March 2023] and worked with Dr Attila Cangi. He also worked as a Lead Research scientist (Quantum Computing) at BosonQ Pvt. Ltd. Bangalore, India (Remote) [October 2022-February 2023]. He was a Helmholtz Visiting Fellow at the Steinbuch Center for Computing (SCC), Karlsruhe Institute of Technology in Karlsruhe, Germany [November 2022-January, 2023] with Dr. Jörg Meyer. Dr Konar worked as a Research Assistant Professor at the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Sikkim, India [September 2020- June 2021], and as an Assistant Professor at the Department of Computer Science and Engineering, SRM University-AP, Andhra Pradesh, India. His research interests include quantum machine learning, hybrid classical-quantum algorithms, quantum-inspired neural networks, deep learning, and the analysis of medical images. Dr Konar has written several articles that have been published in well-known computer science journals like IEEE TNNLs, Applied Soft Computing (Elsevier), Applied Intelligence (Springer), and IEEE Access and can be found here. He has also written conference proceedings, book chapters, and books on his own. He is a senior member of IEEE, an ACM member, and an IE member. He also reviews papers for a number of well-known publications and international conferences. He has won many prestigious awards, like the Fulbright-Nehru Postdoctoral Research Fellowships for 2023–2025, the Helmholtz Visiting Researcher Grant, the Wilhelm und Else Heraeus-Stiftung Travel Grant, and many more. He also serves as a guest editor for Frontiers in Quantum Artificial Intelligence, Applied Soft Computing, IET Software, CAAI Transactions on Intelligent Technology, etc.

Subject Matter Expertise

• ☆ Computer Science
• ☆ Quantum Computing
• ☆ Data Analysis
• ☆ Deep Learning

Services

• Research
• Data & AI

Research Scientific and Technical Research

Data & AI Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML

Work Experience

Fulbright Visiting Fellow

Purdue University

April 2023 - March 2025

Postdoctoral Researcher

Helmholtz-Zentrum Dresden-Rossendorf

December 2021 - April 2023

Lead Quantum Computing Scientist

BosonQ Psi Pvt. Ltd.

October 2022 - February 2023

Helmholtz Visiting Fellow

Karlsruhe Institute of Technology

November 2022 - January 2023

Assistant Professor

SRM University AP - Amaravati

July 2021 - November 2021

Assistant Professor (Research)

Sikkim Manipal Institute of Technology

September 2020 - June 2021

Assistant Professor

Sikkim Manipal Institute of Technology

August 2012 - December 2015

Education

PhD Computer Science

Indian Institute of Technology Delhi

January 2016 - February 2021

M. Tech Scholar (Computer Science and Engineering)

National Institute of Technical Teachers' Training and Research Kolkata

August 2010 - July 2012

Bachelor of Engineering (BE) (Computer Science and Engineering)

University of Burdwan

July 2006 - June 2010

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Debanjan Konar, Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey, Jan Platos, Vaclav Snasel, Leo Mrsic, Pankaj Pal (2023). A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering . Mathematics.

Debanjan Konar, Alokananda Dey, Siddhartha Bhattacharyya, Sandip Dey, Jan Platoš, Vaclav Snasel, Leo Mršić, Dr. Pankaj Pal (2023). A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering . Mathematics.

Debanjan Konar, Siddhartha Bhattacharyya, Tapan K. Gandhi, Bijaya K. Panigrahi, Richard Jiang (2023). 3-D Quantum-Inspired Self-Supervised Tensor Network for Volumetric Segmentation of Medical Images . IEEE Transactions on Neural Networks and Learning Systems.

Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . IEEE Transactions on Neural Networks and Learning Systems.

Optimized activation for quantum-inspired self-supervised neural network based fully automated brain lesion segmentation <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Applied Intelligence.

Debanjan Konar, Bijaya K. Panigrahi, Siddhartha Bhattacharyya, Nilanjan Dey, Richard Jiang(2021). Auto-Diagnosis of COVID-19 Using Lung CT Images With Semi-Supervised Shallow Learning Network . IEEE Access. 9. p. 28716--28728. Institute of Electrical and Electronics Engineers ({IEEE})

Debanjan Konar, Siddhartha Bhattacharyya, Tapan Kr. Gandhi, Bijaya Ketan Panigrahi(2020). A Quantum-Inspired Self-Supervised Network model for automatic segmentation of brain MR images . Applied Soft Computing. 93. p. 106348. Elsevier {BV}

Chakraborty, U.K., Konar, D., Roy, S., Choudhury, S.(2019). Automatic short answer grading using rough concept clusters . International Journal of Advanced Intelligence Paradigms. 14. (3-4). p. 260-280.

Debanjan Konar, Siddhartha Bhattacharyya, Kalpana Sharma, Sital Sharma, Sri Raj Pradhan(2017). An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system . Applied Soft Computing. 53. p. 296--307. Elsevier {BV}

Konar, D., Bhattacharyya, S., Sharma, K., Sharma, S., Pradhan, S.R.(2017). An improved Hybrid Quantum-Inspired Genetic Algorithm (HQIGA) for scheduling of real-time task in multiprocessor system . Applied Soft Computing Journal. 53. p. 296-307.

Konar, D., Bhattacharyya, S., Panigrahi, B. K., Ghose, M. K. (2017). An efficient pure color image denoising using quantum parallel bidirectional self-organizing neural network architecture . Quantum Inspired Computational Intelligence: Research and Applications.

Konar, Debanjan, Chakraborty, Udit Kr., Roy, Samir, Choudhury, Sankhayan (2017). Intelligent Evaluation of Short Responses for e-Learning Systems . Advances in Soft Computing.

Konar, D., Bhattacharyya, S., Panigrahi, B.K., Nakamatsu, K.(2016). A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective . Applied Soft Computing Journal. 46. p. 731-752.

Konar, Debanjan, Sharma, Kalpana, Pradhan, Sri Raj, Sharma, Sital (2016). An Efficient Dynamic Scheduling Algorithm for Soft Real-Time Tasks in Multiprocessor System Using Hybrid Quantum-Inspired Genetic Algorithm . Advances in Intelligent Systems and Computing.

Chakraborty, U.K., Konar, D., Roy, S., Choudhury, S.(2016). Intelligent fuzzy spelling evaluator for e-Learning systems . Education and Information Technologies. 21. (1). p. 171-184.

BOOK CHAPTER

Artificially Intelligent and Sustainable Smart Cities <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> .

BOOK

Bhattacharyya, S., Konar, D., Platos, J., Kar, C., Sharma, K.(2020). Preface . Studies in Computational Intelligence. 841. p. vii-xii.

Gupta, M., Konar, D., Bhattacharyya, S., Biswas, S.(2020). Preface . Advances in Intelligent Systems and Computing. 992. p. vii-viii.

Konar, D., Bhattacharyya, S., Panigrahi, B.K.(2019). QIBDS Net: A Quantum-Inspired Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11942 LNCS. p. 87-95.

Konar, D., Kar, S.K.(2018). An efficient handwritten character recognition using quantum multilayer neural network (QMLNN) architecture: Quantum multilayer neural network . Quantum-Inspired Intelligent Systems for Multimedia Data Analysis. p. 262-276.

Bhattacharyya, S., Chaki, N., Konar, D., Chakraborty, U.K., Singh, C.T.(2018). Preface . Advances in Intelligent Systems and Computing. 706. p. vii-viii.

Konar, D., Bhattacharyya, S., Panigrahi, B.K., Ghose, M.K.(2017). An efficient pure color image denoising using quantum parallel bidirectional self-organizing neural network architecture . Quantum Inspired Computational Intelligence: Research and Applications. p. 149-205.

Chakraborty, U.K., Konar, D., Roy, S., Choudhury, S.(2017). Intelligent evaluation of short responses for e-learning systems . Advances in Intelligent Systems and Computing. 507. p. 365-372.

Konar, D., Sharma, K., Pradhan, S.R., Sharma, S.(2016). An efficient dynamic scheduling algorithm for soft real-time tasks in multiprocessor system using hybrid quantum-inspired genetic algorithm . Advances in Intelligent Systems and Computing. 404. p. 3-11.

CONFERENCE PAPER

Bhattacharyya, S., Dey, S., Konar, D.(2019). A Novel Qutrit Based Quantum Ant Colony Optimization for Multi-level Thresholding . IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2019-October. p. 1375-1380.

Dey, S., De, S., Ghosh, D., Konar, D., Bhattacharyya, S., Platos, J.(2019). A novel quantum inspired sperm whale meta-heuristic for image thresholding . 2019 2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019.

Konar, D., Bhattacharyya, S., Dey, S., Panigrahi, B.K.(2019). Opti-QIBDS Net: A Quantum-Inspired Optimized Bi-Directional Self-supervised Neural Network Architecture for Automatic Brain MR Image Segmentation . IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2019-October. p. 761-766.

Konar, D., Sharma, K., Sarogi, V., Bhattacharyya, S.(2018). A multi-objective quantum-inspired genetic algorithm (Mo-QIGA) for real-time tasks scheduling in multiprocessor environment . Procedia Computer Science. 131. p. 591-599.

Bhattacharyya, S., Snasel, V., Dey, A., Dey, S., Konar, D.(2018). Quantum Spider Monkey Optimization (QSMO) Algorithm for Automatic Gray-Scale Image Clustering . 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018. p. 1869-1874.

Konar, D., Chakraborty, U.K., Bhattacharyya, S., Gandhi, T.K., Panigrahi, B.K.(2016). A quantum parallel bi-directional self-organizing neural network (QPBDSONN) architecture for extraction of pure color objects from noisy background . 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016. p. 1912-1918.

Chakraborty, U.K.R., Konar, D., Roy, S., Choudhury, S.(2016). Rough Set based keyword selection and weighing for textual answer evaluation . 12th IEEE International Conference Electronics, Energy, Environment, Communication, Computer, Control: (E3-C3), INDICON 2015.

Konar, D., Bhattacharyya, S., Das, N., Panigrahi, B.K.(2015). A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising . 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015. p. 1225-1230.