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Deepak Gangadharan
Person information
- affiliation: University of Erlangen-Nuremberg, Department of Computer Science
- affiliation: Technical University of Denmark, Department of Applied Mathematics and Computer Science
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2020 – today
- 2024
- [j3]BaekGyu Kim
, Deepak Gangadharan:
Edge-Server Workload Characterization in Vehicular Computation Offloading: Semantics and Empirical Analysis. IEEE Access 12: 89082-89097 (2024) - [c45]Ashish Sharma, SVSLN Surya Suhas Vaddhiparthy, Sai Usha Nagasri Goparaju, Deepak Gangadharan, Harikumar Kandath:
Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs. CASE 2024: 3748-3753 - [c44]Shivaan Sehgal, Aakash Maniar, Harikumar Kandath, Deepak Gangadharan:
Leveraging Latent Temporal Features for Robust Fault Detection and Isolation in Hexacopter UAVs. ICARA 2024: 311-317 - [c43]VJS Pranavasri, Leo Francis, Gaurav Pal, Ushasri Mogadali, Anuradha Vattem, Karthik Vaidhyanathan, Deepak Gangadharan:
Exploratory Study of oneM2M-Based Interoperability Architectures for IoT: A Smart City Perspective. ICSA-C 2024: 16-23 - [c42]Likhith Kanigolla, Gaurav Pal, Karthik Vaidhyanathan, Deepak Gangadharan, Anuradha Vattem:
Architecting Digital Twin for Smart City Systems: A Case Study. ICSA-C 2024: 326-334 - [c41]Sridhar Mallareddy, Pavan Kumar Kondooru, Deepak Gangadharan:
Checkpointing-Aware End-to-End Data Age Analysis of Task Chains under Transient Faults. ISORC 2024: 1-10 - [c40]Kyujin Kyung, Deepak Gangadharan, BaekGyu Kim:
Preliminary Modeling of Energy-Aware Integrated Allocations in Robotic Mobile Fulfillment Systems. RTCSA 2024: 136-137 - [c39]Rhuthik P, SVSLN Surya Suhas Vaddhiparthy, Pranav Kannan, Deepak Gangadharan:
S2P: Two-Stage Superpixel Algorithm for Enhanced Lane Detection on Resource Constraint Edges. SIES 2024: 148-155 - [c38]Rahul Biju, Sai Usha Nagasri Goparaju, Deepak Gangadharan, Bappaditya Mandal:
Grid LSTM based Attention Modelling for Traffic Flow Prediction. VTC Spring 2024: 1-7 - [c37]Tanniru Abhinav Siddharth, Kethu Sesha Sarath Reddy, Joseph John Cherukara, Deepak Gangadharan:
Online Partitioned Scheduling over RSU for Computation Offloading in Vehicular Edge Computing. VTC Fall 2024: 1-7 - [i2]Ashish Sharma, SVSLN Surya Suhas Vaddhiparthy, Sai Usha Nagasri Goparaju, Deepak Gangadharan, Harikumar Kandath:
Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs. CoRR abs/2406.19881 (2024) - 2023
- [c36]Aditya Mulgundkar, Mayank Singh, Munjaal Bhatt, Prudhvi Raj Turlapati, Deepak Gangadharan, Harikumar Kandath:
Fault Detection and Isolation on a Hexacopter UAV Using a Two-Stage Classification Method. CASE 2023: 1-6 - [c35]SVSLN Surya Suhas Vaddhiparthy, Garapati Sreya, Prudhvi Raj Turlapati, Deepak Gangadharan, Harikumar Kandath:
A Comprehensive Evaluation on the Impact of Various Spoofing Scenarios on GPS Sensors in a Low-Cost UAV. CASE 2023: 1-6 - [c34]Sai Usha Nagasri Goparaju, L. Lakshmanan, Abhinav Navnit, Rahul Biju, Lovish B, Deepak Gangadharan, Aftab M. Hussain:
Time Series-based Driving Event Recognition for Two Wheelers. DATE 2023: 1-2 - [c33]BaekGyu Kim, Deepak Gangadharan:
Empirical Composite Workload Analysis for RSU-Assisted Computation Offloading in Connected Vehicle Services. IISWC 2023: 221-222 - [c32]Joseph John Cherukara
, SVSLN Surya Suhas Vaddhiparthy, Deepak Gangadharan, BaekGyu Kim:
Dynamic Data Delivery Framework for Connected Vehicles via Edge Nodes with Variable Routes. VTC Fall 2023: 1-7 - [c31]Sai Usha Nagasri Goparaju, Rahul Biju, Pravalika M, Bhavana MC, Deepak Gangadharan, Bappaditya Mandal, Pradeep C
:
Optimization and Performance Evaluation of Hybrid Deep Learning Models for Traffic Flow Prediction. VTC2023-Spring 2023: 1-7 - [c30]Sai Usha Nagasri Goparaju, Keerthi Pothalaraju, Shriya Dullur, Arihant Jain, Deepak Gangadharan:
Time-Series based Fall Detection in Two-Wheelers. VTC Fall 2023: 1-5 - [c29]SVSLN Surya Suhas Vaddhiparthy, Joseph John Cherukara
, Deepak Gangadharan, BaekGyu Kim:
Collision-Aware Data Delivery Framework for Connected Vehicles via Edges. VTC Fall 2023: 1-7 - [c28]VJS Pranavasri, Leo Francis, Ushasri Mogadali, Gaurav Pal, SVSLN Surya Suhas Vaddhiparthy, Anuradha Vattem, Karthik Vaidhyanathan, Deepak Gangadharan:
Scalable and Interoperable Distributed Architecture for IoT in Smart Cities. WF-IoT 2023: 1-6 - 2022
- [c27]Shubham Mante, Nathalie Hernandez, Aftab M. Hussain
, Sachin Chaudhari, Deepak Gangadharan, Thierry Monteil:
5D-IoT, a semantic web based framework for assessing IoT data quality. SAC 2022: 1921-1924 - [c26]Akshaj Gupta, Joseph John Cherukara
, Deepak Gangadharan, BaekGyu Kim
, Oleg Sokolsky, Insup Lee:
Global Edge Bandwidth Cost Gradient-based Heuristic for Fast Data Delivery to Connected Vehicles under Vehicle Overlaps. VTC Spring 2022: 1-7 - [c25]Shubham Mante, SVSLN Surya Suhas Vaddhiparthy, Ruthwik Muppala, Deepak Gangadharan, Aftab M. Hussain, Anuradha Vattem:
A Multi Layer Data Platform Architecture for Smart Cities using oneM2M and IUDX. WF-IoT 2022: 1-6 - [p1]Jin Hyun Kim, Deepak Gangadharan, Kyong Hoon Kim, Insik Shin, Insup Lee:
Hierarchical Scheduling. Handbook of Real-Time Computing 2022: 269-301 - 2021
- [c24]Akshaj Gupta, Joseph John Cherukara
, Deepak Gangadharan
, BaekGyu Kim
, Oleg Sokolsky, Insup Lee:
E-PODS: A Fast Heuristic for Data/Service Delivery in Vehicular Edge Computing. VTC Spring 2021: 1-6 - [c23]Sai Usha Nagasri Goparaju, SVSLN Surya Suhas Vaddhiparthy, C. Pradeep
, Anuradha Vattem, Deepak Gangadharan:
Design of an IoT System for Machine Learning Calibrated TDS Measurement in Smart Campus. WF-IoT 2021: 877-882
2010 – 2019
- 2018
- [j2]Andreas Weichslgartner
, Stefan Wildermann, Deepak Gangadharan
, Michael Glaß, Jürgen Teich:
A Design-Time/Run-Time Application Mapping Methodology for Predictable Execution Time in MPSoCs. ACM Trans. Embed. Comput. Syst. 17(5): 89:1-89:25 (2018) - [c22]Deepak Gangadharan
, Oleg Sokolsky, Insup Lee, BaekGyu Kim
, Chung-Wei Lin, Shinichi Shiraishi:
Bandwidth Optimal Data/Service Delivery for Connected Vehicles via Edges. IEEE CLOUD 2018: 106-113 - [c21]Dagaen Golomb, Deepak Gangadharan
, Sanjian Chen, Oleg Sokolsky, Insup Lee:
Data Freshness Over-Engineering: Formulation and Results. ISORC 2018: 174-183 - 2017
- [c20]Jin Hyun Kim, Deepak Gangadharan
, Oleg Sokolsky, Axel Legay, Insup Lee:
Extensible Energy Planning Framework for Preemptive Tasks. ISORC 2017: 32-41 - [i1]Andreas Weichslgartner, Stefan Wildermann, Deepak Gangadharan, Michael Glaß, Jürgen Teich:
A Design-Time/Run-Time Application Mapping Methodology for Predictable Execution Time in MPSoCs. CoRR abs/1711.05932 (2017) - 2016
- [c19]Deepak Gangadharan
, Jin Hyun Kim, Oleg Sokolsky, BaekGyu Kim
, Chung-Wei Lin, Shinichi Shiraishi, Insup Lee:
Platform-Based Plug and Play of Automotive Safety Features: Challenges and Directions (Invited Paper). RTCSA 2016: 76-84 - 2014
- [c18]Deepak Gangadharan
, Éricles Sousa, Vahid Lari, Frank Hannig
, Jürgen Teich:
Application-driven reconfiguration of shared resources for timing predictability of MPSoC platforms. ACSSC 2014: 398-403 - [c17]Deepak Gangadharan
, Jürgen Teich, Samarjit Chakraborty
:
Quality-aware video decoding on thermally-constrained MPSoC platforms. ASAP 2014: 256-263 - [c16]Andreas Weichslgartner
, Deepak Gangadharan
, Stefan Wildermann, Michael Glaß
, Jürgen Teich:
DAARM: Design-time application analysis and run-time mapping for predictable execution in many-core systems. CODES+ISSS 2014: 34:1-34:10 - [c15]Éricles Sousa, Deepak Gangadharan
, Frank Hannig
, Jürgen Teich:
Runtime Reconfigurable Bus Arbitration for Concurrent Applications on Heterogeneous MPSoC Architectures. DSD 2014: 74-81 - 2013
- [j1]Lech Józwiak, Menno Lindwer, Rosilde Corvino, Paolo Meloni
, Laura Micconi, Jan Madsen
, Erkan Diken, Deepak Gangadharan
, Roel Jordans, Sebastiano Pomata, Paul Pop
, Giuseppe Tuveri, Luigi Raffo
, Giuseppe Notarangelo:
ASAM: Automatic architecture synthesis and application mapping. Microprocess. Microsystems 37(8-C): 1002-1019 (2013) - [c14]Deepak Gangadharan
, Samarjit Chakraborty, Roger Zimmermann
:
Quality-aware media scheduling on MPSoC platforms. DATE 2013: 976-981 - [c13]Laura Micconi, Rosilde Corvino, Deepak Gangadharan
, Jan Madsen
, Paul Pop
, Lech Józwiak:
Hierarchical DSE for multi-ASIP platforms. MECO 2013: 50-53 - [c12]Deepak Gangadharan
, Laura Micconi, Paul Pop
, Jan Madsen
:
Multi-ASIP platform synthesis for Event-Triggered applications with cost/performance trade-offs. RTCSA 2013: 277-286 - [c11]Balaji Raman
, Ayoub Nouri, Deepak Gangadharan
, Marius Bozga, Ananda Basu, Mayur Maheshwari, Axel Legay, Saddek Bensalem, Samarjit Chakraborty
:
Stochastic modeling and performance analysis of multimedia SoCs. ICSAMOS 2013: 145-154 - [c10]Laura Micconi, Deepak Gangadharan
, Paul Pop
, Jan Madsen
:
Multi-ASIP platform synthesis for real-time applications. SIES 2013: 59-67 - 2012
- [c9]Lech Józwiak, Menno Lindwer, Rosilde Corvino, Paolo Meloni
, Laura Micconi, Jan Madsen
, Erkan Diken, Deepak Gangadharan
, Roel Jordans, Sebastiano Pomata, Paul Pop
, Giuseppe Tuveri, Luigi Raffo
:
ASAM: Automatic Architecture Synthesis and Application Mapping. DSD 2012: 216-225 - 2011
- [c8]Deepak Gangadharan
, Samarjit Chakraborty
, Roger Zimmermann
:
Fast hybrid simulation for accurate decoded video quality assessment on MPSoC platforms with resource constraints. ASP-DAC 2011: 237-242 - [c7]Balaji Raman
, Guillaume Quintin, Wei Tsang Ooi
, Deepak Gangadharan
, Jérôme Milan, Samarjit Chakraborty
:
On buffering with stochastic guarantees in resource-constrained media players. CODES+ISSS 2011: 169-178 - [c6]Deepak Gangadharan
, Haiyang Ma, Samarjit Chakraborty
, Roger Zimmermann
:
Video quality-driven buffer dimensioning in MPSoC platforms via prioritized frame drops. ICCD 2011: 247-252 - [c5]Haiyang Ma, Deepak Gangadharan
, Nalini Venkatasubramanian, Roger Zimmermann
:
Energy-aware complexity adaptation for mobile video calls. ACM Multimedia 2011: 1313-1316 - [c4]Deepak Gangadharan
, Linh T. X. Phan, Samarjit Chakraborty
, Roger Zimmermann
, Insup Lee:
Video Quality Driven Buffer Sizing via Frame Drops. RTCSA (1) 2011: 319-328
2000 – 2009
- 2009
- [c3]Deepak Gangadharan
, Samarjit Chakraborty
, Roger Zimmermann
:
Fast model-based test case classification for performance analysis of multimedia MPSoC platforms. CODES+ISSS 2009: 413-422 - 2006
- [c2]Deepak Gangadharan
, Raveendranath Mahesh, Andrzej Sluzek
:
Design of an Area-Efficient Multiplierless Processing Element For Fast Two Dimensional Image Convolution. ICECS 2006: 467-470 - 2000
- [c1]Robert Paul Velthuizen, Deepak Gangadharan:
Mammographic mass classification: initial results. Image Processing 2000
Coauthor Index
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