Manjesh Kumar Hanawal

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 88

Top Venues

University of Avignon, France (PHD)

Education History

University of Avignon, France

PHD

Publications

Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
FAIR: Filtering of Automatically Induced Rules. CoRR (2024)
Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanov
Fixed Budget Best Arm Identification in Unimodal Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanov
HoloBeam: Learning Optimal Beamforming in Far-Field Holographic Metasurface Transceivers. CoRR (2024)
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
FAIR: Filtering of Automatically Induced Rules. EACL (1) (2024)
Divya Jyoti Bajpai, Aastha Jaiswal, Manjesh Kumar Hanawal
I-SplitEE: Image classification in Split Computing DNNs with Early Exits. CoRR (2024)
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
CEEBERT: Cross-Domain Inference in Early Exit BERT. CoRR (2024)
Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal, Nikhil Karamchandani
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels. CoRR (2023)
Rahul Vaze, Manjesh Kumar Hanawal
Continuous Time Bandits with Sampling Costs. WiOpt (2023)
Divya Jyoti Bajpai, Vivek Kumar Trivedi, Sohan L. Yadav, Manjesh Kumar Hanawal
SplitEE: Early Exit in Deep Neural Networks with Split Computing. AIMLSystems (2023)
Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal, Nikhil Karamchandani
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels. WiOpt (2023)
Adhokshaj Mishra, Manjesh Kumar Hanawal
Thwarting Piracy: Anti-debugging Using GPU-assisted Self-healing Codes. CoRR (2022)
Manjesh Kumar Hanawal, Sumit Jagdish Darak
Multiplayer Bandits: A Trekking Approach. IEEE Trans. Autom. Control. 67 (5) (2022)
Hitesh Gudwani, Manjesh Kumar Hanawal, Sharayu Moharir
Multi-Player Age-of-Information Bandits: A Trekking Approach. COMSNETS (2022)
Vinod S. Khandkar, Manjesh Kumar Hanawal
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool and Improvements. COMSNETS (2022)
Adhokshaj Mishra, Animesh Roy, Manjesh Kumar Hanawal
Evading Malware Analysis Using Reverse Execution. COMSNETS (2022)
Santosh Fatale, Kavya Bhandari, Urvidh Narula, Sharayu Moharir, Manjesh Kumar Hanawal
Regret of Age-of-Information Bandits. IEEE Trans. Commun. 70 (1) (2022)
Hari Narayan N. U, Manjesh Kumar Hanawal, Avinash Bhardwaj
Unsupervised Early Exit in DNNs with Multiple Exits. AIMLSystems (2022)
Harsh Verma, Hritik Goel, Sumit Jagdish Darak, Manjesh Kumar Hanawal
Exploiting Side Information for Intelligent and Reconfigurable PHY: Experiments on LTE Transceivers. COMSNETS (2022)
Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel, Jayakrishnan Nair
Revenue sharing on the Internet: A case for going soft on neutrality regulations. Perform. Evaluation 145 (2021)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Multi-Armed Bandits with Control Variates. NeurIPS (2021)
Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel
Profit Sharing Contracts between Content and Service Providers for Enhanced Network Quality. CoRR (2021)
Sayan Chatterjee, Manjesh Kumar Hanawal
Federated Learning for Intrusion Detection in IoT Security: A Hybrid Ensemble Approach. CoRR (2021)
Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanov
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks. IEEE Wirel. Commun. Lett. 10 (6) (2021)
Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. CoRR (2021)
Vinod S. Khandkar, Manjesh Kumar Hanawal
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool. CoRR (2021)
Vinod S. Khandkar, Manjesh Kumar Hanawal
FairNet: A Measurement Framework for Traffic Discrimination Detection on the Internet. CoRR (2021)
Vinod S. Khandkar, Manjesh Kumar Hanawal
Masking Host Identity on Internet: Encrypted TLS/SSL Handshake. CoRR (2021)
Atul Sahay, Ayush Maheshwari, Ritesh Kumar, Ganesh Ramakrishnan, Manjesh Kumar Hanawal, Kavi Arya
Unsupervised Learning of Explainable Parse Trees for Improved Generalisation. IJCNN (2021)
Rahul Vaze, Manjesh Kumar Hanawal
Continuous Time Bandits With Sampling Costs. CoRR (2021)
Vinod S. Khandkar, Manjesh Kumar Hanawal
Challenges in Net Neutrality Violation Detection: A Case Study of Wehe Tool. COMSNETS (2021)
Anupam Singh, Manjesh Kumar Hanawal
Monitoring COVID Hotspots Using Telecom Data: Voronoi Tessellations for Marking Buffer Zones. COMSNETS (2021)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits for Resource Allocation. CoRR (2021)
Adhokshaj Mishra, Animesh Roy, Manjesh Kumar Hanawal
Evading Malware Analysis Using Reverse Execution. CoRR (2021)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Multi-Armed Bandits with Control Variates. CoRR (2021)
Kavya Bhandari, Santosh Fatale, Urvidh Narula, Sharayu Moharir, Manjesh Kumar Hanawal
Age-of-Information Bandits. CoRR (2020)
Manjesh Kumar Hanawal, Yezekael Hayel, Quanyan Zhu
Effective Utilization of Licensed and Unlicensed Spectrum in Large Scale Ad Hoc Networks. IEEE Trans. Cogn. Commun. Netw. 6 (2) (2020)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach. CoRR (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis. COMSNETS (2020)
Vinod S. Khandkar, Manjesh Kumar Hanawal
Detection of Traffic Discrimination in the Internet. COMSNETS (2020)
Manjesh Kumar Hanawal, Diep N. Nguyen, Marwan Krunz
Cognitive Networks With In-Band Full-Duplex Radios: Jamming Attacks and Countermeasures. IEEE Trans. Cogn. Commun. Netw. 6 (1) (2020)
Arun Verma, Manjesh Kumar Hanawal
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach. INFOCOM (2020)
Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel, Jayakrishnan Nair
Revenue sharing on the Internet: A Case for Going Soft on Neutrality Regulations. SIGMETRICS Perform. Evaluation Rev. 48 (3) (2020)
Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel
Zero-Rating of Content and Its Effect on the Quality of Service in the Internet. IEEE/ACM Trans. Netw. 28 (6) (2020)
Debamita Ghosh, Arun Verma, Manjesh Kumar Hanawal
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach. CoRR (2020)
Rohit Kumar, Sumit Jagdish Darak, Manjesh Kumar Hanawal
Distributed Algorithm for Opportunistic Spectrum Access in Dynamic Ad Hoc Networks. DCOSS (2020)
Sumit Jagdish Darak, Manjesh Kumar Hanawal
Distributed Learning in Ad-Hoc Networks: A Multi-player Multi-armed Bandit Framework. CoRR (2020)
Rohit Kumar, Sumit Jagdish Darak, Manjesh Kumar Hanawal, Ankit Yadav
Distributed Learning and Coordination in Cognitive Infrastructureless Networks of Unknown Size. IEEE Syst. J. 14 (2) (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Thompson Sampling for Unsupervised Sequential Selection. ACML (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis. CoRR (2020)
Debamita Ghosh, Manjesh Kumar Hanawal, Nikola Zlatanov
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks. CoRR (2020)
Suneet Sawant, Rohit Kumar, Manjesh Kumar Hanawal, Sumit Jagdish Darak
Learning to Coordinate in a Decentralized Cognitive Radio Network in Presence of Jammers. IEEE Trans. Mob. Comput. 19 (11) (2020)
Kavya Bhandari, Santosh Fatale, Urvidh Narula, Sharayu Moharir, Manjesh Kumar Hanawal
Age-of-Information Bandits. WiOpt (2020)
Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel, Jayakrishnan Nair
Revenue Sharing in a Soft-Neutral Regime. COMSNETS (2020)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. NeurIPS (2020)
Arun Verma, Manjesh Kumar Hanawal, Nandyala Hemachandra
Thompson Sampling for Unsupervised Sequential Selection. CoRR (2020)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. CoRR (2020)
Debamita Ghosh, Arun Verma, Manjesh Kumar Hanawal
Learning and Fairness in Energy Harvesting: A Maximin Multi-Armed Bandits Approach. SPCOM (2020)
Arun Verma, Manjesh Kumar Hanawal, Rahul Vaze
Distributed Algorithms for Efficient Learning and Coordination in Ad Hoc Networks. WiOpt (2019)
Ayush Maheshwari, Ayush Goyal, Amit Kumar, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
Representation Learning on Graphs by Integrating Content and Structure Information. COMSNETS (2019)
Fehmina Malik, Manjesh Kumar Hanawal
Revenue Sharing Between Service Providers in the Internet: A Moral Hazard Approach. COMSNETS (2019)
Rohit Kumar, Sumit Jagdish Darak, Manjesh Kumar Hanawal, Ajay K. Sharma, Rajiv K. Tripathi
Distributed Algorithm for Learning to Coordinate in Infrastructure-Less Network. IEEE Commun. Lett. 23 (2) (2019)
Harshvardhan Tibrewal, Sravan Patchala, Manjesh Kumar Hanawal, Sumit Jagdish Darak
Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks. INFOCOM (2019)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. NeurIPS (2019)
Vivek Nagraj Pandit, Mandar Datar, Manjesh Kumar Hanawal, Sharayu Moharir
Pricing in Ride Sharing Platforms: Static vs Dynamic Strategies. COMSNETS (2019)
Sumit Jagdish Darak, Manjesh Kumar Hanawal
Multi-Player Multi-Armed Bandits for Stable Allocation in Heterogeneous Ad-Hoc Networks. IEEE J. Sel. Areas Commun. 37 (10) (2019)
Fehmina Malik, Manjesh Kumar Hanawal, Yezekael Hayel, Jayakrishnan Nair
Revenue Sharing in the Internet: A Moral Hazard Approach and a Net-neutrality Perspective. CoRR (2019)
Arun Verma, Manjesh Kumar Hanawal, Arun Rajkumar, Raman Sankaran
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback. CoRR (2019)
Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis
Learning Policies for Markov Decision Processes From Data. IEEE Trans. Autom. Control. 64 (6) (2019)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sensor Selection. CoRR (2019)
Harshvardhan Tibrewal, Sravan Patchala, Manjesh Kumar Hanawal, Sumit Jagdish Darak
Distributed Learning and Optimal Assignment in Multiplayer Heterogeneous Networks. CoRR (2019)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sensor Selection. AISTATS (2019)
Veeraruna Kavitha, Salman Memon, Manjesh Kumar Hanawal, Eitan Altman, R. Devanand
User response based recommendations: A local angle approach. COMSNETS (2018)
Arun Verma, Manjesh Kumar Hanawal
Unsupervised cost sensitive predictions with side information. COMAD/CODS (2018)
Suneet Sawant, Manjesh Kumar Hanawal, Sumit Darak, Rohit Kumar
Distributed learning algorithms for coordination in a cognitive network in presence of jammers. WiOpt (2018)
Manjesh Kumar Hanawal, Sumit Jagdish Darak
Multi-Player Bandits: A Trekking Approach. CoRR (2018)
Salman Memon, Veeraruna Kavitha, Manjesh Kumar Hanawal, Eitan Altman, R. Devanand
User Response Based Recommendations. COMSNETS (Extended Selected Papers) (2018)
Manjesh Kumar Hanawal, Fehmina Malik, Yezekael Hayel
Differential pricing of traffic in the Internet. WiOpt (2018)
Sumit Jagdish Darak, Manjesh Kumar Hanawal
Distributed Learning and Stable Orthogonalization in Ad-Hoc Networks with Heterogeneous Channels. CoRR (2018)
Rohit Kumar, Ankit Yadav, Sumit Jagdish Darak, Manjesh Kumar Hanawal
Trekking based distributed algorithm for opportunistic spectrum access in infrastructure-less network. WiOpt (2018)
Manjesh Kumar Hanawal, Sumit Jagdish Darak
Distributed Learning in Ad-Hoc Networks with Unknown Number of Players. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Unsupervised Sequential Sensor Acquisition. AISTATS (2017)
Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis
Learning Policies for Markov Decision Processes from Data. CoRR (2017)
Manjesh Kumar Hanawal, Yezekael Hayel, Quanyan Zhu
Throughput maximization of large-scale secondary networks over licensed and unlicensed spectra. WiOpt (2017)
Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis
Learning parameterized policies for Markov decision processes through demonstrations. CDC (2016)
Manjesh Kumar Hanawal, Diep N. Nguyen, Marwan Krunz
Jamming attack on in-band full-duplex communications: Detection and countermeasures. INFOCOM (2016)
Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Sequential Learning without Feedback. CoRR (2016)
Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama
Efficient algorithms for linear polyhedral bandits. ICASSP (2016)
Manjesh Kumar Hanawal, Mohammad J. Abdel-Rahman, Marwan Krunz
Joint Adaptation of Frequency Hopping and Transmission Rate for Anti-Jamming Wireless Systems. IEEE Trans. Mob. Comput. 15 (9) (2016)
Manjesh Kumar Hanawal, Venkatesh Saligrama
Cost effective algorithms for spectral bandits. Allerton (2015)
Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos
Cheap Bandits. CoRR (2015)
Eitan Altman, Cengis Hasan, Manjesh Kumar Hanawal, Shlomo Shamai Shitz, Jean-Marie Gorce, Rachid El Azouzi, Laurent Roullet
Stochastic Geometric Models for Green Networking. IEEE Access 3 (2015)
Manjesh Kumar Hanawal, Venkatesh Saligrama
Efficient detection and localization on graph structured data. ICASSP (2015)
Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos
Cheap Bandits. ICML (2015)
Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama
Algorithms for Linear Bandits on Polyhedral Sets. CoRR (2015)
Eitan Altman, Manjesh Kumar Hanawal, Rajesh Sundaresan
Regulation of Off-Network Pricing in a Nonneutral Network. ACM Trans. Internet Techn. 14 (2-3) (2014)
Manjesh Kumar Hanawal, Mohammad Abdel-Rahman, Marwan Krunz
Game theoretic anti-jamming dynamic frequency hopping and rate adaptation in wireless systems. WiOpt (2014)
Manjesh Kumar Hanawal, Eitan Altman
Network non-neutrality through preferential signaling. WiOpt (2013)
Sushma Patil, Eitan Altman, Manjesh Kumar Hanawal, Julio Rojas-Mora
Modeling and Simulation of Mobility of Crowds. ASMTA (2013)
Manjesh Kumar Hanawal, Eitan Altman
Network Non-Neutrality through Preferential Signaling CoRR (2013)
Manjesh Kumar Hanawal, Eitan Altman, François Baccelli
Stochastic Geometry Based Medium Access Games in Wireless Ad Hoc Networks. IEEE J. Sel. Areas Commun. 30 (11) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manjesh Kumar Hanawal