Akhil Arora

Product Manager

Aarhus, Central Denmark Region, Denmark13 yrs 6 mos experience

Highly Stable

Key Highlights

Recipient of ACM SIGMOD Most Reproducible Paper Award.
Developed frameworks for human-centered AI and knowledge seeking.
Led research teams at Xerox and American Express.

Stackforce AI infers this person is a Data Science and AI Research expert with a focus on Natural Language Processing and Graph Machine Learning.

Contact

Skills

Core Skills

Natural Language Processing (nlp)Causal InferenceGraph MlDeep LearningData And Network ScienceMobile Security

Other Skills

AlgorithmsBiometricsC (Programming Language)C++Computer ScienceData StructuresDatabasesFuzzingGraph MiningImage ProcessingInformation RetrievalJavaLaTeXLarge Language Models (LLM)Linux

About

Akhil Arora is an Assistant Professor of Computer Science at Aarhus University, a fellow of the Copenhagen Center for Social Data Science (SODAS), and a formal collaborator of the Wikimedia Foundation. Before this, he graduated with a PhD in Computer Science from EPFL. Akhil’s research lies at the intersection of natural language processing, human-centered AI, graph machine learning, and causal inference, with an overarching goal of developing the next generation of information systems that assist humans in seeking knowledge. In days of yore, Akhil spent close to five years in the industry working with the research labs of Xerox and American Express as a Research Scientist. His work on influence maximization has been recognized as the 8th most influential paper of SIGMOD 2017 by Paper Digest and received the 2018 ACM SIGMOD Most Reproducible Paper Award. He is a recipient of the prestigious EDIC Doctoral Fellowship, an alumnus of the coveted Heidelberg Laureate Forum, and a DAAD AINet fellow on human-centered AI. Further details are available on his website.

Experience

Department of computer science, aarhus university

Assistant Professor

Oct 2024 – Present · 1 yr 5 mos · Aarhus, Central Denmark Region, Denmark · On-site

Head of the CLAN for AI Research on Language and Networks, or CLAN for short. I am looking for motivated PhD students to join the CLAN!!
For details, please visit our lab website https://www.cs.au.dk/~clan/

Copenhagen center for social data science (sodas)

Fellow

Oct 2024 – Present · 1 yr 5 mos · Denmark · Remote

Epfl (école polytechnique fédérale de lausanne)

Doctoral Researcher

Sep 2018 – Sep 2024 · 6 yrs · Lausanne Area, Switzerland · On-site

Developing ML methods to model and improve human knowledge seeking on the Web.
LLMNav, a framework for simulating human website browsing behavior.
First privacy-preserving generative model of human Web browsing behavior.
Natural experiment to measure the causal effect of de-orphanization on article visibility in more than 300 language versions of Wikipedia.
Eigenthemes, the state-of-the-art unsupervised entity linker with 700x faster inference and comparable efficacy to transformer-based alternatives.
PARIS+, a probabilistic model with superior efficacy, 1000x faster inference, and 10x smaller memory footprint than neural methods for entity alignment.
Publications in EMNLP, NAACL, SIGIR, WSDM, VLDB, and ICWSM.

Data and Network ScienceCausal InferenceGraph MLNatural Language Processing (NLP)Information Retrieval

American express

Research Scientist

Jul 2017 – Jul 2018 · 1 yr · Bangalore

Devised scalable deep learning algorithms for the credit card fraud and risk assessment business of American Express leading to multi-million-dollar impact.
BAE, an ensemble of data bagged Autoencoders for improving credit card fraud detection
NL2SQL, sequence-to-sequence model for translating natural language instructions to SQL queries for descriptive analytics.
TextRisk, an LSTM-based model trained on transcribed customer care conversations, which improved delinquency prediction performance by 5%.

Data and Network ScienceNatural Language Processing (NLP)Deep LearningRepresentation Learning

Xerox research center india

Researcher

Jul 2014 – Jul 2017 · 3 yrs · Bangalore

Led a team of 10 research scientists and engineers for devising scalable data management algorithms and machine learning models to solve a gamut of complex real-world problems for the Customer-care and Health-care business of Xerox. Highlights:
GaBiD, a 360-degree customer journey analytics framework with novel models for churn prediction, root-cause identification, and prevention.
KEO, information extraction framework to construct enterprise knowledge graphs.
Multiple patent applications and publications in SIGMOD, VLDB, and WWW.

Data and Network ScienceGraph MLNatural Language Processing (NLP)Information RetrievalGraph Mining

Intel corporation

Software Engineer for Mobile Security

Jul 2013 – Jul 2014 · 1 yr · Bengaluru, Karnataka, India

Worked on research problems in security while performing white hat hacking on internal Intel products, security code reviews, assessments, and code assisted penetration. Developed a framework called IronCrow, which was published in Black Hat 2014.

Mobile SecurityFuzzingPenetration TestingVulnerability Assessment

Students' placement office, iit kanpur

Department Placement Coordinator (Computer Science & Engineering)

Jul 2012 – Jul 2013 · 1 yr · Greater Lucknow Area

Responsible for conduction of the placement process, working with other placement coordinators, for the academic year 2012-2013.

Ramit technologies pvt. ltd.

Intern

Jun 2009 – Jul 2009 · 1 mo · Greater Delhi Area

Initial days were spent on overview of .NET technology
Successfully developed a Contracts Management Tool (Website) towards the end

Bharat sanchar nigam limited

Intern

Jun 2008 – Jul 2008 · 1 mo

Investigated the database schema of BSNL
Involved in melioration of existing database for newly announced schemes by BSNL for its customers
Successfully developed a Telephone Directory in C towards the end