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The faculties are actively involved in Research activities and has published their research works in various International Conferences (with IIT Tirupati afflication, since 2018)<\/p>\n
ANTS 2018, COMSNETS 2018, ISCAS 2018, ANTS 2019, COMSNETS 2019, ICML 2019, ICLR 2019, IEEE CDC 2019, CCC 2019, ICALT 2019, ISMB\/ECCB 2019, MSR 2019, CSCW 2020, CVIP 2020, CVPR 2020, EASE 2020, FSE 2020, ICCD 2020, ICPR 2020, IPDPS 2020, HIPC 2020, ICSE 2020, ISEC 2020, HICSS 2020, ATS 2020, ICSE 2021, HICSS 2021, ISEC 2021, WACV 2021, WALCOM 2021<\/p>\n
The yearwise publications are listed below:<\/p>\n
[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”Conference Publications” number=”103″ percent_sign=”off” _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”|||0px|false|false” custom_padding=”|||0px|false|false” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_number_counter][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_tabs active_tab_background_color=”#97222B” active_tab_text_color=”#FFFFFF” _builder_version=”4.27.4″ _module_preset=”default” tab_text_color=”#2C009E” body_font=”Roboto Slab||||||||” body_text_color=”#97222B” tab_font=”Roboto Slab|600|||||||” tab_font_size=”16px” hover_enabled=”0″ tab_text_color_tablet=”” tab_text_color_phone=”” tab_text_color_last_edited=”on|desktop” global_colors_info=”{}” tab_text_color__hover=”#E09900″ tab_text_color__hover_enabled=”on|hover” sticky_enabled=”0″][et_pb_tab title=”2024″ _builder_version=”4.27.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n
Rohan Basu Roy, Raghavendra Kanakagiri, <\/span><\/strong>Yankai Jiang and Devesh Tiwari,“The Unexplored Carbon Cost of Serverless Computing”,<\/em><\/span> In ACM Symposium on Cloud Computing, November 2024<\/u><\/p>\n Mithinti Srikanth, Aditya Pandey and G. Ramakrishna,<\/span><\/strong>“Efficient Data Structure and Algorithms for Minimum Transfers in Public Transportation Network”, <\/em>in International Conference on Contemporary Computing, August 2024.<\/span><\/span><\/p>\n Mithinti Srikanth, Prashant Singh and G. Ramakrishna, <\/span><\/strong>“GPU Algorithms for Fastest Path Problem in Temporal Graphs”,<\/em>\u00a0 in 53rd International Conference on Parallel Processing: 587-596, August 2024, doi: https:\/\/doi.org\/10.1145\/3673038.3673105<\/a>.<\/span><\/span><\/span><\/span><\/p>\n Venigalla, A. S. M.,<\/span> & Chimalakonda, S., <\/span><\/strong>” An exploratory study of software artifacts on GitHub from the lens of documentation”,<\/em>\u00a0 in Information and Software Technology, 169, 107425. [Journal First Track paper at 28th EASE 2024].<\/span><\/span><\/p>\n Kumar, J., <\/span>& Chimalakonda, S., <\/span><\/strong>“Code Summarization without Direct Access to Code-Towards Exploring Federated LLMs for Software Engineering”,<\/em>\u00a0 in Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (pp. 100-109).<\/span><\/span><\/p>\n Lella, H. S., Chattaraj, R., <\/span>Chimalakonda, S., & <\/span><\/strong>Kurra, M<\/span>“Towards Comprehending Energy Consumption of Database Management Systems-A Tool and Empirical Study”,<\/em>\u00a0 in Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (pp. 272-281).<\/span><\/span><\/p>\n Raghavendra Kanakagiri., <\/span><\/strong>and Edgar Solomonik <\/span>” Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network”,<\/em>\u00a0 in Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA ’24). Association for Computing Machinery, New York, NY, USA, 169–181. https:\/\/doi.org\/10.1145\/3626183.3659985<\/a><\/span><\/span><\/p>\n Haripriya R. S, Soumitro Vyapari &<\/span> Jaynarayan T. Tudu, <\/span><\/strong>and Edgar Solomonik <\/span>“Near-Threshold-at-Gate based Test for Stuck-on Fault in Scan-chain Testing.”,<\/em>\u00a0 in VLSID 2024: 712-717. Agarwal,<\/span> S., Chimalakonda,<\/span><\/strong>\u00a0S., Krishnan, S., Kanvar, V., & Shah, S <\/span>“Tutorial Report on Legacy Software Modernization: A Journey From Non-AI to Generative AI Approaches”,<\/em>\u00a0 in Proceedings of the 17th Innovations in Software Engineering Conference (pp. 1-3).<\/span><\/span><\/p>\n Vamshi Vijay Krishna,<\/span> V. Mahendran & B. Venkataramana,<\/span><\/strong> \u00a0<\/span>“On or Move On? Optimal Mobile Data Collection in mmWave Sensor Networks”,<\/em>\u00a0 in IEEE VTC-Spring ’24: 99th Vehicular Technology Convference, Singapore, June 2024.<\/span><\/span><\/p>\n Rohit Gupta,<\/span> V. Mahendran & B. Venkataramana,<\/span><\/strong> \u00a0<\/span>“vStream IT: Video Streaming for Resource Constrained IoTs – An Optimal Control Approach”,<\/em>\u00a0 in COMSNETS MINDS ’24, IEEE COMSNETS Workshop on Machine Intelligence on Networked Data and Systems, India, January 2024 Prabhleen Kukreja and<\/span> V. Mahendran <\/span><\/strong>\u00a0\u00a0<\/span>“PraaKrum: A Practical Byzantine-Resilient Federated Learning Algorithm”,<\/em>\u00a0 in COMSNETS ’24: 16th IEEE International Conference on Communication Systems and Networks, India, January 2024 Das, D., Mathews, N. S., Mathai, A., Tamilselvam, S., Sedamaki, K., and Chimalakonda, S, <\/span><\/strong>and Kumar, A<\/span>. <\/span><\/span>“COMEX: A Tool for Generating Customized Source Code Representations”,<\/em><\/span> in 38th IEEE\/ACM International Conference on Automated Software Engineering (ASE), (pp. 2054-2057). IEEE.<\/p>\n Chattaraj, R., Chimalakonda, S, <\/span><\/strong>Sharma, V. S., Kaulgud, V.<\/span><\/span>“RJoules: An Energy Measurement Tool for R”,<\/em><\/span> in 38th IEEE\/ACM International Conference on Automated Software Engineering (ASE), (pp. 2026-2029). IEEE.<\/p>\n Shanbhag, S., Chimalakonda, S, <\/span><\/strong>Sharma, V. S., Kaulgud, V.<\/span><\/span>“DENT: A Tool for Tagging Stack Overflow Posts with Deep Learning Energy Patterns”,<\/em><\/span> in Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, (pp. 2157-2161).<\/p>\n Venigalla, A. S. M., and Chimalakonda, S, <\/span><\/strong>“FlowARP-Using Augmented Reality for Visualizing Control Flows in Programs”,<\/em><\/span> in Proceedings of the ACM Conference on Global Computing Education Vol 1, (pp. 161-167).<\/p>\n Sai Pragna N., Aditi Palit and Kalidas Y. and Venkata R. B, <\/span><\/strong>“Swift Convergence: Federated Learning Enhanced with GMMs for Image Classification”,<\/em><\/span> in CVIP 2023.<\/p>\n Anil P., \u00a0Kalidas Y. and Venkata R. B, <\/span><\/strong>“GAN-Based Super Resolution for Disease Detection in Aerial Images”,<\/em><\/span> in A Case Study of Potato Crop, CVIP 2023.<\/p>\n Tharakeswararaju Buchipalli, V. Mahendran. and B. Venkataramana, <\/span><\/strong>“How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs”,<\/em><\/span> in 26th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (ACM MSWiM 2023), Aug 2023.<\/p>\n Tharakeswararaju Buchipalli, V. Mahendran. and B. Venkataramana, <\/span><\/strong>“How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs”,<\/em><\/span> in MSWIM 23: Proceedings of the 26th International Conference on Modeling, Analysis, and Simulation of Mobile and Wireless Systems, Montreal, Canada, Oct. 2023.<\/p>\n Prabhleen Kukreja and V. Mahendran., <\/span><\/strong>“Contention Matters: Modeling and Analyzing the Performance of Federated Learning Over WiFi”,<\/em><\/span> in PiMRC ’23: Proceedings of the 34th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications. Toronto, ON, Canada, September, 2023<\/u><\/p>\n Avinash C Pandey, Salakram Nagwanshi., Venkataramana Badarla and Kalidas Yeturu., <\/span><\/strong>“An Efficient Indoor Positioning and Navigation System Based on Bluetooth and Magnetometer”,<\/em><\/span> in Proc. 13th International Conference on Indoor Position and Indoor Navigation, September, 2023, Nuremberg, Germany<\/p>\n <\/u><\/p>\n Vamshi Vijay Krishna Jeripotula., V. Mahendran., and B.Venkataramana., <\/span><\/strong>“Optimal D2D LearningBased Neighbor Selection in mmWave Networks using Gittins Indices”,<\/em><\/span> STWiMob’ 23, IEEE Workshop on Selected Topics in Wireless and Mobile Computing, Montreal, Canada, June, 2023<\/p>\n <\/u><\/p>\n Naresh Babu Kakarla and V. Mahendran., <\/span><\/strong>“How to Learn on the Fly? On Improving the Uplink Throughput Performance of UAV-Assisted Sensor Networks”,<\/em><\/span> MobiSys DroNet ’23: ACM MobiSys Workshop on Micro-Aerial Vehicle Networks, Systems, and Applications, Helsinki, Finland, June 2023, doi: 10.1145\/3597060.3597242<\/a><\/u><\/p>\n <\/u><\/p>\n Chimalakonda. S., <\/span><\/strong> Das, D., Mathai, A., Tamilselvam, S., and Kumar, A., “The Landscape of Source Code Representation Learning in AI-Driven Software Engineering Tasks”,<\/em><\/span> In Proceedings of the 45th ACM\/IEEE International Conference on Software Engineering, pp. 342-343, May-2023, doi: 10.1109\/ICSE-Companion58688.2023.00098<\/a><\/u><\/p>\n <\/u><\/p>\n Venigalla, A. S. M and Chimalakonda. S., <\/span><\/strong>“DocMine: A Software Documentation-Related Dataset of 950 GitHub Repositories”,<\/em><\/span> In Proceedings of the 19th International Conference on Mining Software Repositories, pp. 407-411, Melbourne, Australia, 15,16-May-2023, doi: 10.1109\/MSR59073.2023.00062<\/a><\/u><\/p>\n <\/u><\/p>\n Shanbhag, S. and Chimalakonda. S., <\/span><\/strong>“An Exploratory Study on Energy Consumption of Dataframe Processing Libraries”,<\/em><\/span> In Proceedings of the 19th International Conference on Mining Software Repositories, pp. 284-295, Melbourne, Australia, 15,16-May-2023, doi: 10.1109\/MSR59073.2023.00048<\/a><\/u><\/p>\n <\/u><\/p>\n Venigalla, A. S. M., Ali, M. S., Manjunath, N. and Chimalakonda. S., <\/span><\/strong>“RCGraph – A Tool to Integrate Readme and Commits through Temporal Knowledge Graphs”,<\/em><\/span> In Proceedings of the 31th IEEE\/ACM International Conference on Program Comprehension (ICPC), pp. 30-34, Melbourne, Australia, 15,16-May-2023, doi: 10.1109\/ICPC58990.2023.00014<\/a><\/u><\/p>\n <\/u><\/p>\n Naresh Babu Kakarla and V. Mahendran., <\/span><\/strong>“Lyapunov Meets Thompson: Learning-Based EnergyEfficient UAV Communication with Queuing Stability Constraints”,<\/em><\/span> Infocom DroneCom ’23: IEEE Infocom Workshop on Drone-Assisted Wireless Communications for 5G and Beyond, New York, USA, May 2023<\/p>\n <\/u><\/p>\n Kumar, Abhishek, Deep Ghadiyali, Sridhar Chimalakonda, <\/span><\/strong> and Akhila Sri Manasa Venigalla.,“SOClusterTowards Answering Unanswered Questions on Stack Overflow via Answered Questions”,<\/em><\/span> In Proceedings of the 16th Innovations in Software Engineering Conference, pp. 1-5, 2023, doi: 10.1145\/3578527.3578544<\/a><\/u><\/p>\n <\/u><\/p>\n Samuel Neumann, Sungsu Lim, Ajin George Joseph, <\/span><\/strong> Yangchen Pan, Adam White, Martha White.,“Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement”,<\/em><\/span> Internation Conference on Learning Representation (ICLR) 2023, doi: 10.48550\/arXiv.1810.09103<\/a><\/u><\/p>\n <\/u><\/p>\n \n Boyalakuntla, Kowndinya, Marimuthu Chinnakali Sridhar Chimalakonda, <\/span><\/strong> and K Chandrasekharan.,“eGEN: an energy-saving modeling language and code generator for location-sensing of mobile apps”,<\/em><\/span> In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1697-1700. November 2022, doi: 10.1145\/3540250.3558914<\/a><\/u><\/p>\n Shanbhag Shriram, and Sridhar Chimalakonda., <\/span><\/strong>“Exploring the under-explored terrain of non-open source data for software engineering through the lens of federated learning”,<\/em><\/span> In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1610-1614. November 2022, doi: 10.1145\/3540250.3560883<\/a><\/u><\/p>\n Sarmah, Prantik Parashar, and Chimalakonda.S., <\/span><\/strong>“API+ code= better code summary? insights from an exploratory study”,<\/em><\/span> In Proceedings of the 18th International Conference on Predictive Models and Data Analytics in Software Engineering, pp 92-101, November 2022, doi: 10.1145\/3558489.3559075<\/a><\/u><\/p>\n Sripranav Mannepalli, Ravi Venkata Sai Maheswara Reddy Satti, Rohit Shakya and Kalidas.Y., <\/span><\/strong>“Multiple object tracking based on temporal local slice representation of subregions”,<\/em><\/span> 7th International Conference on Computer Vision and Image Processing CVIP 2022, November 2022<\/p>\n Boyalakuntla, K., Nagappan, M, Chimalakonda.S <\/span><\/strong> and Munaiah, N.,“RepoQuester: A Tool Towards Evaluating GitHub Project”,<\/em><\/span> In Proceedings of the 38th IEEE International Conference on Software Maintenance and Evolution (ICSME), Cyprus, October 2022,
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[\/et_pb_tab][et_pb_tab title=”2023″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\nTotal Conference Publications in 2023 – 19<\/strong><\/span><\/span><\/h5>\n
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[\/et_pb_tab][et_pb_tab title=”2022″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”]<\/p>\nTotal Conference Publications in 2022 – 15<\/strong><\/span><\/span><\/h5>\n
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