Publications

Journal Publications

  1. Praveen Damacharla, Kanika ., Ruthwik Junuthula, Colin Elkin, and Somesh Kumar, "COVID-19 Spread Prediction: A Comparative Study," Machine Learning and Knowledge Extraction, vol. 5, Issue 1, pp. 504-520, 2023 (Major Revisions)

  2. Praveen Damacharla, Parashar Dhakal, Jyothi Priyanka Bandreddi, Ahmad Y. Javaid, Jennie J. Gallimore, Colin Elkin, and Vijay K. Devabhaktuni, "Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human-Machine Teams (HMT)", MDPI Applied Sciences Journal, 2020 Vol. 10 Issue 23, pp: 8390. (2019 Impact Factor: 2.474, doi: 10.3390/app10238390) (Online)

  3. Praveen Damacharla, and Ali Jamali Fard,"Rolling Electrical Generator Design and Modeling for Ocean Wave Energy Conversion," Inventions, vol. 5(1), Issue 3, pp. 1-15, 2020. (DOI: 10.3390/inventions5010003) (Online)

  4. Parashar Dhakal, Praveen Damacharla, Ahmad Y Javaid, and Vijay Devabhaktuni, “A Near Real-Time Automatic Speaker Recognition Architecture for Voice-Based User Interface," Machine Learning and Knowledge Extraction, vol. 1, Issue 1, pp. 504-520, 2019. (DOI: 10.3390/make1010031) (Online)

  5. Praveen Damacharla, Ahmad Y. Javaid, Jennie J. Gallimore, and Vijay Devabhaktuni, “Common Metrics to Benchmark Human-Machine Teams (HMT): A Review,” IEEE Access, vol. 6, pp. 38637-38655, 2018. (2019 Impact Factor: 3.745, doi: 10.1109/ACCESS.2018.2853560) (Online)

  6. Shahrukh Ashraf, Priyanka Aggarwal, Praveen Damacharla, Hong Wang, Ahmad Javaid, and Vijay Devabhaktuni, "A low-cost solution for UAV navigation in a GPS-denied environment," in International Journal of Distributed Sensor Networks, Vol. 14, Issue 6, 2018. (2019 Impact Factor: 1.151, doi: 10.1177/1550147718781750) (Online)

  7. Praveen Damacharla, Parashar Dhakal, Sebastian Stumbo, Ahmad Y. Javaid, Subhashini Ganapathy, David A. Malek, Douglas C. Hodge, and Vijay Devabhaktuni, “Effects of Voice‐Based Synthetic Assistant on Performance of Emergency Medical Responders in Training,” International Journal of Artificial Intelligence in Education, 2018. (SNIP: 1.953, doi: 10.1007/s40593-018-0166-3) (Online)

Conference Publications

  1. Praveen Damacharla, Achuth Rao M. V., Jordan Ringenberg, and Ahmad Y Javaid, “TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection,” International Conference on Applied Artificial Intelligence (ICAPAI 2021), Halden, Norway, May 19-21, 2021 (doi: 10.1109/ICAPAI49758.2021.9462060) (Online)

  2. Parashar Dhakal, Praveen Damacharla, Ahmad Y Javaid, Hari K. Vege, and Vijay Devabhaktuni, “IVACS: Intelligent voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment,” 1st International Conference on Artificial Intelligence & Modern Assistive Technology (ICAIMAT), Riyadh Saudi Arabia, November, 24-26, 2020 (doi: 10.1109/ICAIMAT51101.2020.9308013) (Online).

  3. Parashar Dhakal, Praveen Damacharla, Ahmad Y Javaid, and Vijay Devabhaktuni, “Detection and Identification of Background Sounds to Improvise Voice Interface in Critical Environments”, in 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, Kentucky, USA, 6–8 Dec 2018. (doi: 10.1109/ISSPIT.2018.8642755) (Online)

  4. Praveen Damacharla, Dhwani Mehta, Ahmad Y. Javaid, and Vijay K. Devabhaktuni, “Study on State-of-the-art Cloud Systems Integration Capabilities with Autonomous Ground Vehicles,” 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), August, 27-30, Chicago, IL, 2018. (doi: 10.1109/VTCFall.2018.8690650) (Online)

  5. Praveen Damacharla, Ruthwik R Junuthula, Ahmad Y. Javaid, and Vijay K. Devabhaktuni, “Autonomous ground vehicle error prediction modeling to facilitate human-machine cooperation”, In: Chen J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2018. Advances in Intelligent Systems and Computing, vol 784, pp 36-45. Springer, Cham, 2018. (doi: 10.1007/978-3-319-94346-6_4) (Online)

  6. Praveen Damacharla, Ahmad Y. Javaid, and Vijay K. Devabhaktuni, “Human Error Prediction Using Eye Tracking to Improvise Team Cohesion in Human-Machine Teams”, In: Boring R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2018. Advances in Intelligent Systems and Computing, vol 778, pp 47-57. Springer, Cham8, 2018. (doi: 10.1007/978-3-319-94391-6_5) (Online)

  7. Vyhlidal, Corey, Vignesh Rajamani, Charles F. Bunting, Praveen Damacharla, and Vijay Devabhaktuni. "Estimation of absorber performance using reverberation techniques and artificial neural network models," In 2015 IEEE International Symposium on Electromagnetic Compatibility (EMC), pp. 897-901, IEEE, 2015. (doi: 10.1109/ISEMC.2015.7256284) (Online)

Poster Presentations

  1. Praveen Damacharla, Dhwani Mehta, Ahmad Y Javaid, and Vijay Devabhaktuni, “Study on State-of-the-art Cloud Systems Integration Capabilities with Autonomous Ground Vehicles”, in IEEE Vehicle Technologies Conference, VTC2018-Fall, Chicago, USA, 27–30 August 2018.

  2. Praveen Damacharla, Ahmad Y. Javaid, and Vijay K. Devabhaktuni, “Human Machine Team (HMT) Architecture Design for Live Virtual Constructive (LVC) Environment Towards Training Medical First Responders”, at Air Force Research Laboratory’s Safe & Secure Systems and Software Symposium (S5), Dayton, Ohio, USA, July 12-14, 2016. (Online)

  3. Praveen Damacharla, “Design of linear rotating generator for wave energy converter,”Presentedinposter presentation, published in proceedings of International conference renewable and sustainable energies 2010 (ICRSE 2010), 16-18 December 2010, Osmania University, Hyderabad, India.

Patents

  1. Praveen L. V. N. Damacharla, "A Floating Wave Energy Conversion System", filed in Indian Patent Office, Chennai, TN, India, May, 2011, Patent Number: 349677, Granted ON: 20th October 2020. (Online)

Dissertation

  1. Praveen Damacharla, "Simulation Studies and Benchmarking of Synthetic Voice Assistant Based Human-Machine Teams (HMT)," Electronic Ph.D. Dissertation, the Univeristy of Toledo, December, 2018. (OhioLink)