Education

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• Doctor of Philosophy(Ph.D) from NIT Silchar, Assam, India. (July 2018 - April 2023) 

  • Thesis: "Design and Development of Machine Learning Based Techniques for Breast Cancer Diagnosis Using Ultrasound Images"

  • Ph.D Supervisor: Dr. Pinki Roy (Associate Professor, Dept. of CSE, NIT Silchar)

  • Ph.D Co-Supervisor: Prof. Sivaji Bandyopadhyay (Professor, Dept. of CSE, Jadavpur University)

  • Ph.D coursework CPI of 9.25 out of 10.0.

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• Master of Science(M.S) from Indiana University Bloomington, Indiana, USA. (Aug. 2014 - May 2016)

  • Department: Computer Science (Data Modeling and Management specialization)

  • GPA of 3.67 out of 4.0.

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• Bachelor of Technology(B.Tech) from Gauhati University, Assam. (Aug. 2010 - June 2013)

  • Department: Computer Science and Engineering

  • CGPA of 8.37 out of 10.0.​​

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• Diploma in Engineering from Central Institute of Technology, Kokrajhar, Assam, India. (Aug. 2007 - June 2010)

  • Department: Computer Science and Engineering

  • 77.36% aggregate.​

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Work Experience​

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1. Researcher-II, Fynd (Shopsense Retail Technologies Ltd.), Mumbai, India. (Oct. 2023 - Present)

2. Researcher-I, Fynd (Shopsense Retail Technologies Ltd.), Mumbai, India. (Aug. 2022 - Sept. 2023)

3. ​Assistant Professor, Department of CSE, Royal Global University, Guwahati, Assam, India.​ (Jan 2018 - June 2018)

4. Assistant Professor, Department of CSE, K L University, Andhra Pradesh, India. (July 2017 - Dec. 2017)

5. Associate Instructor, School of Informatics and Computing, Indiana University Bloomington, USA. (July 2015 - May 2016)

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Journal Publications

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1. Mishra, Arnab Kumar, Pinki Roy, Sivaji Bandyopadhyay, and Sujit Kumar Das. "Feature fusion based machine learning pipeline to improve breast cancer prediction". Multimedia Tools and Applications(2022). (SCI, Scopus Indexed)

2. Mishra, Arnab Kumar, Pinki Roy, Sivaji Bandyopadhyay, and Sujit Kumar Das. "A multi-task learning based approach for efficient breast cancer detection and classification". Expert Systems(2022). (SCI, Scopus Indexed)

3. Mishra, Arnab Kumar, Pinki Roy, Sivaji Bandyopadhyay, and Sujit Kumar Das. "Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks". International Journal of Information Technology. (Scopus Indexed)

4. Mishra, Arnab Kumar, Pinki Roy, Sivaji Bandyopadhyay, and Sujit Kumar Das. "CR‐SSL: A closely related self‐supervised learning based approach for improving breast ultrasound tumor segmentation." International Journal of Imaging Systems and Technology. (SCI, Scopus Indexed)

5. Das, Sujit Kumar, Pinki Roy, and Arnab Kumar Mishra. "Oversample-select-tune: A machine learning pipeline for improving diabetes identification." Concurrency and Computation: Practice and Experience (2021): e6741. (SCI, Scopus Indexed)

6. Das, Sujit Kumar, Pinki Roy, and Arnab Kumar Mishra. "Fusion of handcrafted and deep convolutional neural network features for effective identification of diabetic foot ulcer." Concurrency and Computation: Practice and Experience (2021): e6690. (SCI, Scopus Indexed)

7. Das, Sujit Kumar, Pinki Roy, and Arnab Kumar Mishra. "DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification." ICT Express (2021). (SCI, Scopus Indexed)

8. Das, Sujit Kumar, Pinki Roy, and Arnab Kumar Mishra. "Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach." International Journal of Imaging Systems and Technology(2021). (SCI, Scopus Indexed)

9. Mishra, Arnab K., Pinki Roy, Sivaji Bandyopadhyay, and Sujit K. Das. "Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach." Expert Systems(2021): e12713. (SCI, Scopus Indexed)

10. Mishra, Arnab Kumar, Sujit Kumar Das, Pinki Roy, and Sivaji Bandyopadhyay. "Identifying COVID19 from chest CT images: a deep convolutional neural networks based approach." Journal of Healthcare Engineering 2020 (2020). (SCI, Scopus Indexed)

11. Mohapatra, Sudhir Kumar, Arnab Kumar Mishra, and Srinivas Prasad. "Intelligent Local Search for Test Case Minimization." Journal of The Institution of Engineers (India): Series B 101, no. 5 (2020): 585-595. (Scopus Indexed)

12. Panda, Deepak Kumar, Ranjan Kumar Dash, Arnab Kumar Mishra, and Sudhir Kumar Mohapatra. "Reliability Evaluation and Analysis of Multistage Interconnection Networks." International Journal of Pure and Applied Mathematics 119, no. 14 (2018): 1729-1737. (Scopus Indexed)

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Conference Publications

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1. Das, Sujit K., Arnab Kumar Mishra, and Pinki Roy. "Pre-trained efficientnet-b0 with adjusted optimizer, learning rate and image size to improve diabetic foot ulcers diagnosis" In Proceedings of Emerging Electronics and Automation (E2A). 2022. Held in NIT Silchar, India.

2. ​Mishra, Arnab Kumar, Pinki Roy, and Sivaji Bandyopadhyay. "ADASemSeg: An Active Learning Based Data Adaptation Strategy for Improving Cross Dataset Breast Tumor Segmentation" In Proceedings of 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2021), Lecture Notes in Electrical Engineering (Springer), vol 946. Held in NIT Raipur, India.  (Best Paper)

3. ​Mishra, Arnab Kumar, Pinki Roy, and Sivaji Bandyopadhyay. "Binary Particle Swarm Optimization Based Feature Selection (BPSO-FS) for Improving Breast Cancer Prediction." In Proceedings of International Conference on Artificial Intelligence and Applications, pp. 373-384. Held in Delhi, India. Springer, Singapore, 2021. (Best Paper)

4. Jain, Deepali, Arnab Kumar Mishra, and Sujit Kumar Das. "Machine Learning Based Automatic Prediction of Parkinson’s Disease Using Speech Features." In Proceedings of International Conference on Artificial Intelligence and Applications, pp. 351-362. Held in Delhi, India. Springer, Singapore, 2021.

5. Mishra, Arnab Kumar, Pinki Roy, and Sivaji Bandyopadhyay. "Genetic algorithm based selection of appropriate biomarkers for improved breast cancer prediction." In Proceedings of SAI Intelligent Systems Conference, pp. 724-732. Held in London, UK. Springer, Cham, 2019. 

6. Das, S., A. Mishra, and Pinki Roy. "Automatic Diabetes Prediction Using Tree Based Ensemble Learners." In Proceedings of International Conference on Computational Intelligence and IoT (ICCIIoT). 2018. Held in Agartala, India.

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Book Chapter Publications

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1. Das, Sujit Kumar, Pinki Roy, and Arnab Kumar Mishra. "Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study." In Health Informatics: A Computational Perspective in Healthcare, pp. 295-323. Springer, Singapore, 2021.

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Patents

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1. German Patent: "Novel Stacked Parallel Convolution Layers System with an Attention Module for Classifying the Diabetic Foot Ulcer and Normal Skin Images". Patent File Number: 20 2022 102 752.8

2. South African Patent: "A Multi-Task Learning Based System for Breast Cancer Detection and Classification and A Method Thereof". Patent Registration No. 2023/03302

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Journal Articles Reviewed

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1. Nature Scientific Reports, Nature Portfolio.

2. Computer Methods and Programs in Biomedicine, Elsevier.

3. Computers in Biology and Medicine, Elsevier.

4. International Journal of Imaging Systems and Technology, Wiley.

5. International Journal of Applied Science and Engineering, Chaoyang University of Technology.

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Invited Talks/Sessions

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1. Served as the sole resource person and conducted a successful 7 Days Workshop on Hands-on Machine Learning Using Python, at Guwahati University - Institute of Science and Technology(GUIST), from 16-22 August 2020. (TEQIP Funded)

2. Delivered a successful talk on Machine Learning, with Hands On Sessions at the 2-day Workshop on Artificial Intelligence and Machine Learning organized by Department of Information Technology, Gauhati University, from 27-28 September, 2019.

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Workshops Organized

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1. Successfully organized and coordinated a 3-day workshop on Ethical Hacking and Cyber Security, offered by the Electronics and ICT Academy, IITG, at the Department of CSE, Royal Global University, from 07-09 March, 2018.