Shraddha Chaudhary Arora

Assistant Professor with a strong academic background in higher education. Proven track record of developing and delivering engaging course materials that enhance student learning. Demonstrated effective communication and research skills that contribute to academic excellence.

• Delivered expert session in CERI sponsored 5-days workshop organized at The NorthCap University.
• Received research excellence scholarship Teachers Day for good research in the session Jan-July'24
• Granted with the German patent
• Invited as Refereein Delhi Robotics League (DRL 2023) a national level competition at school level organized by Delhi Board for school education (DSOE), 6-7th July’2023.
• Selected for German Academic Exchange Service (DAAD) for Postdoctoral Researchers’ Networking Tour (Postdoc-NeT 2019) on “The Internet of Things, Cyber-physical Systems, and the Future of Manufacturing: Developing Industry 4.0 in Germany”.
• Shraddha Chaudhary, Sumantra Dutta Roy, “Visual Feedback based Object Detection and Manipulation”, Doctoral Symposium, July’2017. (Won 3rd prize)

• AWS cloud practitioner foundation certification, July'24
• Microsoft Azure AI-900 certification, August'24
• CodingNinjas C++ basic certification badge.

Projects:

• PI: Dr. Mrinal Pandey, Co PI: Dr. Shraddha Arora: Medical insurance Claim settlement using Blockchain technology" under technology development scheme by IBITF to be implemented by Manav Rachna University along with NorthCap University and AIW as industry partner (ongoing, 31.695 lakhs)
• IRD funded project “Uncertainty modelling of bin picking system and Determination of Robot Kinematic Parameters using Non-contact Sensors” at IIT Delhi (2017- Dec’2019). To determine the errors and uncertainty ellipsoid for the real-time system by accommodating the Noise margins in the actual system to have a better robust system.

 Delivered: Robust system and its error uncertainty analysis on different aspects that affect performance.

• Research project “Vision-Based control of a Robotic Manipulator” @ IIT-Delhi (2013-2017).

      To develop and deploy a pick and place system for the real time scenario using Industrial Robot as KUKA KR5 at BARC facility. OpenCV as     front end and Integration with Kuka KR5 robotic manipulator to perform Pick and Place task.

Delivered: A working and deployable system in real time.

Patents:

• Deepika Kamboj, Shraddha Arora, Sharda Neeraj vashishta, Prabha Sharma, “Adavanced driver assistance based on realtime object and traffic sign recognition”, Patent no.202023 105 573.7, German Patennt, Utility model. (Granted)
• Riya Sapra, Shraddha Arora‘Autonomous blockchain based system for generation and delivery of photographic aadhaar linked birth certificates’, 202211058422, Indian Official Journal of the Patents, Nov’2022. (Published, examination done, hearing done and awaiting to initiate grant process)
• Meenakshi, Shraddha Arora, Preeti Sharma, ‘Method for performing Artificial Intelligence/ Natural language Processing based pronunciation correction tutoring model’, 202311008613, Indian Official Journal of the Patents, Feb’ 2023. (Published and awaiting examination)
• Dr. Roshan Raman, Shraddha Arora, Nitin Malik, Sukrit Dahiya “Method of optimizing performance of Dual fuel diesel engine using maximum efficient power density criterio” under application no: 202311016812 A, March’2023( Published and awaiting examination)

Journals:

• Arora, Shraddha, Lamba, M. 3D brain image based tumor classification using ensemble of reinforcement transfer-based belief neural networks. Multimedia Tools Appl (2024).
• Shraddha Arora, Anshu Khuranna,, ‘Bin Picking and Uncertainty modelling of generalized cylindrical object using Sensor Fusion’, Journal of Intelligent & Fuzzy Systems(Accepted, March’24)
• D Kamboj, S Vashisth, Shraddha Arora, 'A Novel Approach for Traffic Sign Detection: A CNN-Based Solution for Real-Time Accuracy', - Int. J. Intell. Syst. Appl. Eng, 2024
• Mrinal Pandey, Shraddha Arora, Charu Goyal, Varun Kumar Gera, Harsh Yadav, AI-based Integrated Approach for the Development of Intelligent Document Management System (IDMS), Procedia Computer Science,Volume 230,2023, Pages 725-736, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.12.127
• Shraddha Chaudhary, S. Indu and S. Chaudhury, "Video-based road traffic monitoring and prediction using dynamic Bayesian networks," in IET Intelligent Transport Systems, vol. 12, no. 3, pp. 169-176, 4 2018. doi: 10.1049/iet-its.2016.0336

Conferences:

• Shraddha Chaudhary, Niladri Chatterjee,” Automated Evaluation approach for Time-Dependent QA pairs on Web Crawler based QA System,” in proc IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). Dec’2022.
• Shraddha Chaudhary, Shobhit Zakhami, Sumantra Dutta Roy. "Visual Feedback based Trajectory Planning to Pick an Object and Manipulation using Deep learning." In Proc. Advances in Robotics (AIR), ACM New York, NY, USA, 2019.
• M. Roy, R. A. Boby, Shraddha Chaudhary, S. Chaudhury, S. Dutta Roy, and S. K. Saha, “Pose estimation of texture-less cylindrical objects in bin picking using sensor fusion, ” In Proc.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2016, pp.2279 – 2284
• Tanya Raghuvanshi, Shraddha Chaudhary, Santanu Chaudhury (2015). "Learning Texture less Object Orientation in occlusion for an Automated Monocular Vision based System". WIML 2015, Dec,Montreal
• A. Sharma, Shraddha Chaudhary, S. D. Roy and P. Chand, "Three dimensional reconstruction of cylindrical pellet using stereo vision," 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Patna, 2015, pp. 1-4.
• Shraddha Chaudhary, Ratan Sadanand, Sumantra Dutta Roy, and Santanu Chaudhury. 2015. "Pose estimation of a tilted pellet using single view from robot mounted camera". In Proc. of the 2015 Conference on Advances in Robotics (AIR '15). ACM, New York, NY, USA, Article 53, 6 pages.
• Tanya Raghuvanshi, Shraddha Chaudhary, Varnica Jain, Sumeet Agarwal, and Santanu Chaudhury. 2015. "Automated Monocular Vision based System for Picking Textureless Objects". In Proceedings of the 2015 Conference on Advances in Robotics (AIR '15). ACM, New York, NY, USA, Article 64, 6 pages.