I am working as Research Scientist in AI Innovations Research Group at NEC Laboratories Europe, Heidelberg, Germany.
I obtained my Ph.D. in computer science (Machine Learning) from
Université de Lyon, Lyon. I worked under the guidance of Prof. Massih-Reza Amini at LIG, Grenoble and Dr. Emilie Morvant at LaHC, CNRS, Saint-Etienne. During my Ph.D., I was actively involved in ANR LIVES Project (Learning with Interacting ViEwS). Before that, I did my Masters in Computer Science from ENSIMAG, Grenoble INP, France (2014-2015).
You can find more information in my CV or on my LinkedIn Profile .
Multiview Learning, Ensemble Learning, PAC-Bayes Theory, Domain Adaptation, Transfer Learning, Lifelong Learning, Learning with Imbalanced Data, Information Retrieval.
As a part of AI Innovations Research Group, I am working on multiple Business Unit projects and EU Project COREALIS.
I completed my Ph.D. under the guidance of Prof. Massih-Reza Amini at LIG, Grenoble and Dr. Emilie Morvant at LaHC, CNRS, Saint-Etienne. I worked on multiview learning problem and proposed 3 novel multiview learning algorithms using PAC-Bayesian theory and ensemble learning.
As a part of Data Science team, I developed algorithms for aggregation of similar news articles from different sources and finding the appropriate advertisement banners for the news articles for Neon News android application.
I did my Masters thesis at AMA team, LIG, Grenoble under the guidance of Prof. Massih-Reza Amini. I designed and developed an algorithm for learning information retreival models’ parameters using transfer learning approach from a labeled source collection to an unlabeled target collection.
Designed and developed an algorithm to detect frauds (made using erasable ink pens) in back cheques for Punjab National Bank, India. This project was in collabration with Dr. Gaurav Gupta at IIIT, Delhi, India.
Designed and developed an algorithm to find number of clusters in short text documents using Ncut-term weighing scheme and spectral clustering (under the guidance of Prof. Arun K. Pujari).
Selected to participate in 4 day Google AdCamp taught by Google sales leaders providing in-depth introduction to the Google's advertising sales operations and client products (including AdWords, YouTube, and Mobile)
I worked at INMAS Laboratory, Delhi . I designed and developed an interactive intranet portal for leave management system and document dispatch system.
- Member of EU Project COREALIS. (Oct, 2018-present)
- Member of ANR LIVES Project. (Jan, 2016-September, 2018)
Database Management Course at The LNMIIT, Jaipur (Jan-May,2013 and Jan-May,2012)
- Learning a Multiview Weighted Majority Vote Classifier: Using PAC-Bayesian Theory and Boosting, Université de Lyon, October 2018 [pdf] [Slides]
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini, "Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters", Neurocomputing, 2019 [ Research Report arXiv:1808.05784] [code][data]
Anil Goyal, Jihed Khiari, "Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data", The International Joint Conference on Neural Networks (IJCNN), 2020, Glasgow (UK). (Accepted for Publication)
Anil Goyal, Emilie Morvant, Massih-Reza Amini, "Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization", Intelligent Data Analysis, 2018, 's-Hertogenbosch, the Netherlands. [ Research Report arXiv:1805.10212 ]
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini, "PAC-Bayesian Analysis for a two-step Hierarchical Mutliview Learning Approach", European Conference on Machine Learning & Principles and Pratice of Knowledge Discovery in Databases (ECML-PKDD), 2017, Skopje, Macedonia. [ Research Report arXiv:1606.07240 ]
Anil Goyal, Emilie Morvant, Massih-Reza Amini, "Une borne Apprentissage d’un vote de majorité hiérarchique pour l’apprentissage multivue", French Conference on Machine Learning (CAp), 2018, Rouen, France.
Anil Goyal, Emilie Morvant, Pascal Germain, "Une borne PAC-Bayésienne en espérance et son extension à l'apprentissage multivues", French Conference on Machine Learning (CAp), 2017, Grenoble, France.
Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini, "Théorèmes PAC-Bayésiens pour l'apprentissage multi-vues", French Conference on Machine Learning (CAp), 2016, Marseille, France.
Anil Goyal, Georgios Balikas, Parantapa Goswami, Massih-Reza Amini, Eric Gaussier, "Transfer Learning for IR Model Parameter Tuning", French Conference on Machine Learning (CAp), 2015, Lille, France.
Anil Goyal, Mukesh K Jadon, Arun K Pujari, "Spectral Approach to find Number of Clusters of Short-text Documents", National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013, Jodhpur, India
Dr. Anil Goyal,
NEC Laboratories Europe GmbH,
Kurfuerstenanlage 36, 69115 Heidelberg, Germany
Email: firstname.lastname AT neclab.eu