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- Vivek Vaidya 0001
GE Global Research, Bangalore, India - Vivek Vaidya 0002
East Brunswick High School, East Brunswick, NJ, USA
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Publication search results
found 48 matches
- 2024
- Balambiga Ayappane, Rohith Vaidyanathan, Srinath Srinivasa, Santosh Kumar Upadhyaya, Srinivas Vivek:
Consent Service Architecture for Policy-Based Consent Management in Data Trusts. COMAD/CODS 2024: 155-163 - 2023
- Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun:
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21(2): 287-301 (2023) - Indrajit Ray, Bhavani Thuraisingham, Jaideep Vaidya, Sharad Mehrotra, Vijayalakshmi Atluri, Indrakshi Ray, Murat Kantarcioglu, Ramesh Raskar, Babak Salimi, Steve Simske, Nalini Venkatasubramanian, Vivek K. Singh:
SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups. SACMAT 2023: 145-155 - Arnav Arora, Maha Jinadoss, Cheshta Arora, Denny George, Brindaalakshmi, Haseena Dawood Khan, Kirti Rawat, Div, Ritash, Seema Mathur, Shivani Yadav, Shehla Rashid Shora, Rie Raut, Sumit Pawar, Apurva Paithane, Sonia, Vivek, Dharini Priscilla, Khairunnisha, Grace Banu, Ambika Tandon, Rishav Thakker, Rahul Dev Korra, Aatman Vaidya, Tarunima Prabhakar:
The Uli Dataset: An Exercise in Experience Led Annotation of oGBV. CoRR abs/2311.09086 (2023) - 2022
- Hafiz Salman Asif, Periklis A. Papakonstantinou, Stephanie Shiau, Vivek K. Singh, Jaideep Vaidya:
Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing. IEEE Intell. Syst. 37(4): 88-96 (2022) - Meghana Kshirsagar, Krishn Kumar Gupt, Gauri Vaidya, Conor Ryan, Joseph P. Sullivan, Vivek Kshirsagar:
Insights Into Incorporating Trustworthiness and Ethics in AI Systems With Explainable AI. Int. J. Nat. Comput. Res. 11(1): 1-23 (2022) - Shail Shah, Pronaya Bhattacharya, Jainil Vaidya, Mohd. Zuhair, Vivek Kumar Prasad:
Administration of Big Data using the Cloud as base. IC3I 2022: 393-398 - Jinkyung Park, Eiman Ahmed, Hafiz Salman Asif, Jaideep Vaidya, Vivek K. Singh:
Privacy Attitudes and COVID Symptom Tracking Apps: Understanding Active Boundary Management by Users. iConference (2) 2022: 332-346 - Meghana Kshirsagar, Gauri Vaidya, Shravani Rajguru, Pruthviraj Jadhav, Hrushabh Kale, Nishanth Shanmugam, Conor Ryan, Vivek Kshirsagar:
DECART: Planning for Decarbonising Transport Sector with Predictive Analytics - An Irish Case Study. SMARTGREENS 2022: 157-164 - Vivek Vaidya, Jaideep Vaidya:
Impact of Dimensionality Reduction on Outlier Detection: an Empirical Study. TPS-ISA 2022: 150-159 - 2021
- Kapil Vaidya, Anshuman Dutt, Vivek R. Narasayya, Surajit Chaudhuri:
Leveraging Query Logs and Machine Learning for Parametric Query Optimization. Proc. VLDB Endow. 15(3): 401-413 (2021) - Hafiz Salman Asif, Periklis A. Papakonstantinou, Stephanie Shiau, Vivek K. Singh, Jaideep Vaidya:
Accurately and Privately Reporting Crowdsensed COVID-19 Data. AMIA 2021 - 2019
- Pascal Andreas Meinerzhagen, Carlos Tokunaga, Andres Malavasi, Vaibhav A. Vaidya, Ashwin Mendon, Deepak Mathaikutty, Jaydeep Kulkarni, Charles Augustine, Minki Cho, Stephen T. Kim, George E. Matthew, Rinkle Jain, Joseph F. Ryan, Chung-Ching Peng, Somnath Paul, Sriram R. Vangal, Brando Perez Esparza, Luis Cuellar, Michael Woodman, Bala Iyer, Subramaniam Maiyuran, Gautham N. Chinya, Xiang Zou, Yuyun Liao, Krishnan Ravichandran, Hong Wang, Muhammad M. Khellah, James W. Tschanz, Vivek De:
An Energy-Efficient Graphics Processor in 14-nm Tri-Gate CMOS Featuring Integrated Voltage Regulators for Fine-Grain DVFS, Retentive Sleep, and ${V}_{\text{MIN}}$ Optimization. IEEE J. Solid State Circuits 54(1): 144-157 (2019) - 2018
- Harish Kumar Krishnamurthy, Vaibhav A. Vaidya, Pavan Kumar, Rinkle Jain, Sheldon Weng, Stephen T. Kim, George E. Matthew, Nachiket V. Desai, Xiaosen Liu, Krishnan Ravichandran, James W. Tschanz, Vivek De:
A Digitally Controlled Fully Integrated Voltage Regulator With On-Die Solenoid Inductor With Planar Magnetic Core in 14-nm Tri-Gate CMOS. IEEE J. Solid State Circuits 53(1): 8-19 (2018) - Tanay Karnik, Dileep Kurian, Paolo A. Aseron, Richard Dorrance, Erkan Alpman, Angela Nicoara, Roman Popov, Leonid Azarenkov, Mikhail J. Moiseev, Li Zhao, Santosh Ghosh, Rafael Misoczki, Ankit Gupta, M. Akhila, Sriram Muthukumar, Saurabh Bhandari, Satish Yada, Kartik Jain, Robert Flory, Chanitnan Kanthapanit, Eduardo Quijano, Bradley Jackson, Hao Luo, Suhwan Kim, Vaibhav A. Vaidya, Adel Elsherbini, Renzhi Liu, Farhana Sheikh, Omesh Tickoo, Ilya Klotchkov, Manoj R. Sastry, Sheldon Sun, Mukesh Bhartiya, Anuradha Srinivasan, Yatin Hoskote, Hong Wang, Vivek De:
A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS. ISSCC 2018: 46-48 - Pascal Meinerzhagen, Carlos Tokunaga, Andres Malavasi, Vaibhav A. Vaidya, Ashwin Mendon, Deepak Mathaikutty, Jaydeep Kulkarni, Charles Augustine, Minki Cho, Stephen T. Kim, George E. Matthew, Rinkle Jain, Joseph F. Ryan, Chung-Ching Peng, Somnath Paul, Sriram R. Vangal, Brando Perez Esparza, Luis Cuellar, Michael Woodman, Bala Iyer, Subramaniam Maiyuran, Gautham N. Chinya, Chris Zou, Yuyun Liao, Krishnan Ravichandran, Hong Wang, Muhammad M. Khellah, James W. Tschanz, Vivek De:
An energy-efficient graphics processor featuring fine-grain DVFS with integrated voltage regulators, execution-unit turbo, and retentive sleep in 14nm tri-gate CMOS. ISSCC 2018: 38-40 - Suhwan Kim, Vaibhav A. Vaidya, Christopher Schaef, Andrew Lines, Harish Krishnamurthy, Sheldon Weng, Xiaosen Liu, Dileep Kurian, Tanay Karnik, Krishnan Ravichandran, James W. Tschanz, Vivek De:
A Single-Stage, Single-Inductor, 6-Input 9-Output Multi-Modal Energy Harvesting Power Management IC for 100µW-120MW Battery-Powered IoT Edge Nodes. VLSI Circuits 2018: 195-196 - 2017
- Hariharan Ravishankar, Sheshadri Thiruvenkadam, Rahul Venkataramani, Vivek Vaidya:
Joint Deep Learning of Foreground, Background and Shape for Robust Contextual Segmentation. IPMI 2017: 622-632 - Xiaojie Huang, Junjie Shan, Vivek Vaidya:
Lung nodule detection in CT using 3D convolutional neural networks. ISBI 2017: 379-383 - Harish Kumar Krishnamurthy, Vaibhav A. Vaidya, Sheldon Weng, Krishnan Ravichandran, Pavan Kumar, Stephen T. Kim, Rinkle Jain, George E. Matthew, Jim Tschanz, Vivek De:
20.1 A digitally controlled fully integrated voltage regulator with on-die solenoid inductor with planar magnetic core in 14nm tri-gate CMOS. ISSCC 2017: 336-337 - Hariharan Ravishankar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Vivek Vaidya:
Learning and Incorporating Shape Models for Semantic Segmentation. MICCAI (1) 2017: 203-211 - Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya:
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. CoRR abs/1704.06040 (2017) - 2016
- Preethi Ranganarayanan, Narmadha Thanigesan, R. P. Vivek-Ananth, Valadi K. Jayaraman, Vigneshwar Ramakrishnan:
Identification of Glucose-Binding Pockets in Human Serum Albumin Using Support Vector Machine and Molecular Dynamics Simulations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 148-157 (2016) - Arathi Sreekumari, K. S. Shriram, Vivek Vaidya:
Breast lesion detection and characterization with 3D features. EMBC 2016: 4101-4104 - Hariharan Ravishankar, Sahana M. Prabhu, Vivek Vaidya, Nitin Singhal:
Hybrid approach for automatic segmentation of fetal abdomen from ultrasound images using deep learning. ISBI 2016: 779-782 - Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya:
Understanding the Mechanisms of Deep Transfer Learning for Medical Images. LABELS/DLMIA@MICCAI 2016: 188-196 - Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya:
Filter sharing: Efficient learning of parameters for volumetric convolutions. CoRR abs/1612.02575 (2016) - 2015
- Rinkle Jain, Stephen T. Kim, Vaibhav A. Vaidya, Krishnan Ravichandran, James W. Tschanz, Vivek De:
Conductance Modulation Techniques in Switched-Capacitor DC-DC Converter for Maximum-Efficiency Tracking and Ripple Mitigation in 22 nm Tri-Gate CMOS. IEEE J. Solid State Circuits 50(8): 1809-1819 (2015) - Pavan Kumar, Vaibhav A. Vaidya, Harish Krishnamurthy, Stephen T. Kim, George E. Matthew, Sheldon Weng, Bharani Thiruvengadam, Wayne Proefrock, Krishnan Ravichandran, Vivek De:
A 0.4V∼1V 0.2A/mm2 70% efficient 500MHz fully integrated digitally controlled 3-level buck voltage regulator with on-die high density MIM capacitor in 22nm tri-gate CMOS. CICC 2015: 1-4 - 2014
- Rinkle Jain, Stephen T. Kim, Vaibhav A. Vaidya, James W. Tschanz, Krishnan Ravichandran, Vivek De:
Conductance modulation techniques in switched-capacitor DC-DC converter for maximum-efficiency tracking and ripple mitigation in 22nm Tri-gate CMOS. CICC 2014: 1-4
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