Industrial Experience:  Bharat Sanchar Nigam Limited (BSNL, Calcutta Circle) 

• Position: Graduate Apprentice Engineer
• Responsibilities:
       1. Worked on Ericsson equipment RNC 3810.
       2. 3G site status checking, loop testing, alarm checking & testing and analysis, voice, data, & video call checking.                                                                                                                                               3. Report generation (vswr, 3Gfault _list, single e1 downlist).                                                              
• On-hand experience with tools: WinFiol 7.0, Cygwin, Citrix 6.30.

Teaching & Research:

             1. Assistant Professor (Level-10) at BIT Mesra, Ranchi, Jharkhand (May 2024 – Till Date) 

                       Subject Taught: Data Mining Concept & Techniques (UG), Object Oriented Programming Language using JAVA (PG) 

             2. Assistant Professor (Gr-II) at Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha (November 2021 – May 2024)       

                       Subject Taught: Machine Learning, DBMS, Data Structures                                                                                                                                                                                                                                                          

                      Administrative Responsibility:   Departmental Co-ordinator (UG Project)     

            3.  Assistant Professor at C.V Raman Global University, Bhubaneswar, Odisha (March 2021 – November 2021)    

                  Subject Taught: Machine Learning, Data Structures

                  Administrative Responsibility:   Departmental Placement Co-ordinator 

            4. Teaching Assistant at NIT Rourkela (January 2017 – June 2019)

                  Subjects taught: Data structure and C language tutorial, Optimization Theory and Lab., C and C++ language lab.

             4. Visiting Researcher at GV Lab., Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan. (March 2018)

• Deep Learning: Currently working on pre-impact fall detection in a homely environment through extraction of deep features
• Shallow Machine Learning: Diagnosis of pathological gait in people with Cerebral Palsy through machine intelligence
• Pattern Recognition: Gait event prediction by investigating the temporal gait pattern 

1. Program Committee Member of 31st International Conference on Artificial Neural Networks (ICANN), Bristol (UK); A conference of the European Neural Network Society.
2. Program Committee Member of 20th India Council International Conference (INDICON), IEEE.
3. Received the 2nd best paper award in the Shared Task on Sentiment Analysis in Indian Languages (SAIL) Tweets, MIKE 2015 conference, Hyderabad, India.
4. Awarded MHRD fellowship for Ph.D
5. Awarded MHRD fellowship for M.Tech

Journal (SCIE indexed):

• Chakraborty S, Nandy A, “Automatic Diagnosis of Cerebral Palsy Gait using Computational Intelligence Techniques: A Low-cost Approach”. IEEE Transactions on Neural Systems & Rehabilitation Engineering,  pp. 2488 - 2496. DOI: 10.1109/TNSRE.2020.3028203 (IF: 3.802)
• Chakraborty S, Jain S, Nandy A, Venture G. “Pathological Gait Detection Based on Multiple Regression Models Using Unobtrusive Sensing Technology”, Journal of Signal Processing Systems, 2020 (93) pp.1-10. DOI: 10.1007/s11265-020-01534-1 (IF: 1.348) (Springer)
• Chakraborty S, Nandy A, Yamaguchi T, Bonnet V, Venture G, “Accuracy of image data stream of a markerless motion capture system in determining the local dynamic stability and joint kinematics of human gait”, Journal of Biomechanics. 2020 Feb 28; 104,109718. DOI: 10.1016/j.jbiomech.2020.109718  (IF: 2.712)  (Elsevier)
• Chakraborty S, Nandy A, Kesar T.M, “Gait deficits and dynamic stability in children and adolescents with cerebral palsy: a systematic review and meta-analysis”, Clinical Biomechanics, 2020 Jan 1; 71:11-23. DOI: 10.1016/j.clinbiomech.2019.09.005 (IF: 2.063) (Elsevier)
• Chakraborty, S., Nandy, A., Yamaguchi, T., Bonnet, V., & Venture, G, “Reply to Dr. Sina Mehdizadeh Response to Letter to the Editor”, Journal of Biomechanics, 105:109812. DOI: 10.1016/j.jbiomech.2020.109812 (IF: 2.712) ) (Elsevier)

Archived:

• Chakraborty, S. (2019), “A Graph-based Ranking Approach to Extract Key-frames for Static Video Summarization”, arXiv preprint, arXiv:1911.13279

Conference (International):

• Chakraborty S, Thomas N, Nandy A, “Gait Event Prediction of People with Cerebral Palsy Using Feature Uncertainty: A Low-Cost Approach”, 25th International Conference on Multimodal Interaction (ICMI 2023), Paris, October 2023, DOI: https://doi.org/10.1145/3577190.3614125, (CORE B Conference)
• Chakraborty S, Sambhavi S, Panda P, Nandy A, “An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach”, In 11th International Conference on Soft Computing for Problem Solving (SocProS 2022), IIT Mandi, India, May 14 - 15, 2022; DOI: 10.1007/978-981-19-6525-8_7
• Chakraborty S, Thomas N, Nandy A, “Gait Abnormality Detection in People with Cerebral Palsy using an Uncertainty-based State-space Model”, In the proceedings of the 20th International Conference on computational science (ICCS), Amsterdam, The Netherlands, DOI: 10.1007/978-3-030-50423-6_40. (CORE A Conference)
• Chakraborty S, Nandy A, “An unsupervised approach for gait phase detection”, In the proceedings of the 4th International Conference on Computational Intelligence and Networks (CINE 2020), ISI Kolkata, West Bengal, India, pp. 1-5. DOI: 10.1109/CINE48825.2020.234396
• Chakraborty S, Nandy A, Mishra R, Dwivedi A, Das T, “A low-cost pathological gait detection system in multi-Kinect Environment”, 20th International Symposium of Optomechatronic Technologies 2019 (ISOT 2019), pp. 97-104. DOI: https://doi.org/10.1007/978-981-15-6467-3_13
• Chakraborty S, Mondal D, Nandy A, “15th IEEE India Council International Conference (INDICON), India, pp. 1-4, DOI: 10.1109/INDICON45594.2018.8987073
• Chakraborty S, Nandy A, “Comparison of Local Dynamic Stability of Treadmill Gait Data in Three Different Planes Through Maximal Lyapunov Exponent”, International Conference on Computing, Power and Communication Technologies (GUCON 2018) Sep 28 (pp. 96-100). IEEE. DOI: 10.1109/GUCON.2018.8674921
• Sarkar K and Chakraborty S, “A Sentiment Analysis System for Indian Language Tweets”, in the proceeding of 3rd International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015, Hyderabad), LNAI 9468, pp. 1-9, Springer, IIIT-H, India. DOI: 10.1007/978-3-319-26832-3_66

   

Book:

• Anup Nandy, Saikat Chakraborty, Jayeeta Chakraborty, Gentiane Venture, “Modern Methods for Affordable Clinical Gait Analysis: Theories and Applications in Healthcare Systems”, Elsevier Academic Press, ISBN: 9780323852456, DOI: https://doi.org/10.1016/C2020-0-02456-4 , (2021)

Book Chapter:

• Saikat Chakraborty, Tomoya Suzuki, Abhipsha Das, Anup Nandy, Gentiane Venture, “Gait Abnormality Detection Using Deep Convolution Network” in the “Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics”, IGI Global, ISBN13: 9781799830535, DOI: 10.4018/978-1-7998-3053-5.ch017, (2020)
• Saikat Chakraborty, Sruti Sambhavi, Anup Nandy, “Deep Learning in Gait Abnormality Detection: Principles and Illustrations” in the “Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms”, Wiley, ISBN13: 9781119792666, DOI: 10.1002/9781119792673.ch4, (2022)

• Nandy A, Chakraborty S, Thomas N, and Venture G, “A Pathological Gait Detection Tool for Healthcare Applications”, Registration No. SW-14970/2021, (2021)

Reviewer:

 Book:

• Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics (IGI Global).

 Journal:

• Gait & Posture (Elsevier)
• Journal of Medical and Biological Engineering (Springer)
• Multimedia Tools and Applications (Springer)
• Journal of Biomedical and Health Informatics (IEEE)
• PLOS ONE
• IEEE Transactions on Robotics
• Computers in Biology and Medicine (Elsevier)
• Journal of Biomechanics (Elsevier)
• PeerJ
• eNeurologicalSci (Elsevier)
• Journal of the neurological sciences (Elsevier)