Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision. - Seba Susan; Abhishek Jain; Aakash Sharma; Shikhar Verma; Siddhant Jain (IET Image Process., 2015)

Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision. - Byron C. Wallace; Joël Kuiper; Aakash Sharma; Mingxi (Brian) Zhu; Iain James Marshall (J. Mach. Learn. Res., 2016)

Intelligent Offloading Distribution of High Definition Street Maps for Highly Automated Vehicles. - Florian Jomrich; Aakash Sharma; Tobias Rückelt; Doreen Böhnstedt; Ralf Steinmetz (SMARTGREENS/VEHITS (Selected Papers), 2017)

Dynamic Map Update Protocol for Highly Automated Driving Vehicles. - Florian Jomrich; Aakash Sharma; Tobias Rückelt; Daniel Burgstahler; Doreen Böhnstedt (VEHITS, 2017)

CASH: A Credit Aware Scheduling for Public Cloud Platforms. - Aakash Sharma; Saravanan Dhakshinamurthy; George Kesidis; Chita R. Das (CCGRID, 2021)

Designing a Service for Compliant Sharing of Sensitive Research Data. - Aakash Sharma; Thomas Bye Nilsen; Sivert Johansen; Dag Johansen; Håvard D. Johansen (CRiSIS, 2021)

Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies. - Aakash Sharma; Thomas Bye Nilsen; Katja Pauline Czerwinska; Daria Onitiu; Lars Brenna; Dag Johansen; Håvard D. Johansen (Frontiers Big Data, 2021)

ProteoVision: web server for advanced visualization of ribosomal proteins. - Petar I. Penev; Holly M. McCann; Caeden D. Meade; Claudia Alvarez-Carreño; Aparna Maddala; Chad R. Bernier; Vasanta l Chivukula; Maria Ahmad; Burak Gulen; Aakash Sharma; Loren Dean Williams; Anton S. Petrov (Nucleic Acids Res., 2021)

Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms. - Vivek M. Bhasi; Jashwant Raj Gunasekaran; Aakash Sharma; Mahmut Taylan Kandemir; Chita R. Das (SoCC, 2022)

Analysis of Distributed Deep Learning in the Cloud. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (CoRR, 2022)

Information and communication technology-based interventions for chronic diseases consultation: Scoping review. - Pietro Randine; Aakash Sharma; Gunnar Hartvigsen; Håvard D. Johansen; Eirik Årsand (Int. J. Medical Informatics, 2022)

Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; Rishabh Jain; Jashwant Raj Gunasekaran; Subrata Mitra; Mahmut Taylan Kandemir; George Kesidis; Chita R. Das (ICDCS, 2023)

Capturing Nutrition Data for Sports: Challenges and Ethical Issues. - Aakash Sharma; Katja Pauline Czerwinska; Dag Johansen; Håvard D. Johansen (MMM (1), 2023)

Paldia: Enabling SLO-Compliant and Cost-Effective Serverless Computing on Heterogeneous Hardware. - Vivek M. Bhasi; Aakash Sharma; Shruti Mohanty; Mahmut Taylan Kandemir; Chita R. Das (IPDPS, 2024)

Towards SLO-Compliant and Cost-Effective Serverless Computing on Emerging GPU Architectures. - Vivek M. Bhasi; Aakash Sharma; Rishabh Jain; Jashwant Raj Gunasekaran; Ashutosh Pattnaik; Mahmut Taylan Kandemir; Chita R. Das (Middleware, 2024)

GPU Cluster Scheduling for Network-Sensitive Deep Learning. - Aakash Sharma; Vivek M. Bhasi; Sonali Singh; George Kesidis; Mahmut T. Kandemir; Chita R. Das (CoRR, 2024)