Dr. Anuradha KAR

Biography

Anuradha KAR, an Associate Professor of AI and Robotics at Aivancity, earned a Ph.D. in Electrical and Electronic Engineering from the University of Galway in Ireland.She then worked at ENS Lyon in collaboration with Inria and InraE on deep learning for the analysis of 3D biological images, before joining the Paris Brain Institute with Inria to work on deep learning for the analysis of data from patients with Alzheimer’s disease, and the Pasteur Institute in Paris on deep learning applications in drug discovery. She is particularly interested in deep learning applications in computer vision, computational biology, and healthcare, as well as human-machine interactions and intelligent systems.

Education & Degrees

Year	University	Degree/Position
2015–2019	National University of Ireland, Galway	Ph.D. in Philosophy, Electrical and Electronic Engineering
2009–2011	University of Calcutta, India	Master of Technology, Specialization: Radio, Physics & Electronics
2005–2009	West Bengal University of Technology, India	Bachelor of Technology in Electronics and Communications

Professional experience

Year	Function
September 2024	Associate Professor of AI and Robotics at aivancity. Specializes in deep learning, computer vision, explainable AI, AI for healthcare, and human-machine interactions.
October 2021–August 2023	Brain Institute (Paris)/ Researcher
June 2019 – September 2021	École Normale Supérieure de Lyon / Researcher
May 2015 – May 2019	National University of Ireland, Galway / PhD Student
November 2013 – April 2015	German Aerospace Center / Research Assistant
March 2012–July 2013	Max Planck Institute for Solar System Research / Research Assistant

Projects

Year	Function
2024	Transformers and Explainable AI for Computer Vision
2021	Transfer Learning for DICOM Image Classification
2016	Emotion Recognition Using SVM Models

Publications

YF. Mareuil, A. Moine-Franel, A. Kar, M. Nilges, C.B. Ciambur, O. Sperandio, Protein Interaction Explorer (PIE): A Comprehensive Platform for Navigating Protein-Protein Interactions and Ligand Binding Pockets, Bioinformatics, 2024;, btae414,(Impact Factor 7.6)
L. Ingrassia, S. Boluda, M. C. Potier, S. Haïk, G. Jimenez, A. Kar, D. Racoceanu, B. Delatour, L. Stimmer, Automated deep learning segmentation of neuritic plaques and neurofibrillary tangles in Alzheimer's disease brain sections using proprietary software, Journal of Neuropathology & Experimental Neurology, 2024;, nlae048, (Impact Factor 3.2)
KarA, Petit M, Refahi Y, Cerutti G, Godin C, Traas J. Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets. PLoS Comput Biol. 2022 Apr 14;18(4):e1009879. (Impact factor 4.7)
A.Kar MLGaze: Machine Learning-Based Analysis of Gaze Error Patterns in Consumer Eye Tracking Systems. Vision 2020, 4, 25.. (Citescore 2.3)
A. Kar and P. Corcoran. “Development of Open-Source Software and Gaze Data Repositories for the Performance Evaluation of Eye-Tracking Systems.” *Vision*, October 2019, vol. 3, no. 55. (CiteScore 2.3)
A. Karand and P. Corcoran, "GazeVisual: A Practical Software Tool and Web Application for Performance Evaluation of Eye Tracking Systems," in IEEE Transactions on Consumer Electronics, vol. 65, no. 3, pp. 293–302, Aug. 2019. (Impact factor 4.3)
J. Lemley, A. Kar, A. Drimbarean, and P. Corcoran, "Convolutional Neural Network Implementation for Eye-Gaze Estimation on Low-Quality Consumer Imaging Systems," in IEEE Transactions on Consumer Electronics, vol. 65, no. 2, pp. 179–187, May 2019 (Impact Factor 4.3)
A. Kar, P. Corcoran, "Performance Evaluation Strategies for Eye Gaze Estimation Systems Using Quantitative Metrics and Visualizations." Sensors 2018, 18, 3151. (Impact Factor 3.7)
A. Kar and P. Corcoran, "A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms, and Performance Evaluation Methods in Consumer Platforms," in IEEE Access, vol. 5, pp. 16495–16519, 2017. (Impact factor: 3.4)
S. Bazrafkan, A. Kar, and C. Costache, "Eye Gaze for Consumer Electronics: Controlling and Commanding Intelligent Systems," in IEEE Consumer Electronics Magazine, vol. 4, no. 4, pp. 65–71, Oct. 2015. (Impact factor 4.5).

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Artificial Intelligence

Laura DEGIOANNI
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Data science

Imad Hatem
Assistant Professor & Head of the MSc Data Management (1st year)

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Applied Mathematics, Probability

Dr. Safa LADGHAM
Affiliated Professor in Applied Mathematics

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Generative AI, large language models (LLMs), machine and deep learning, language and emotion analysis, instructional engineering, and technological innovation.

Dr. Antoun Yaacoub
Head of the MSc in Generative Artificial Intelligence

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Artificial intelligence
Data Science

Fayçal Braham
Associate Professor

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Ethical aspects of artificial intelligence, Privacy enhancing technologies, Cybersecurity

Dr. Sami Zhioua
Affiliate Professor of AI Ethics

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Advanced telecommunications, computer networks, intrusion detection and cybersecurity, applied artificial intelligence

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Strategy, Leadership and Management, Human resources management, Steering and development, Organizational performance, Institutional relations

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Associate Professor, Director of Development, Nice

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Data Science, Machine Learning, Deep Learning

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Lecturer & Course lead in AI, UC Berkeley

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Data science, Artificial Intelligence, Innovation Leadership, Natural Language Processing, IT System Engineering, Management, Consultancy, Personal Coaching 

Dr. Levente SZABADOS
Visiting Professor of Data Science

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Valentin SCHMITE
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Professor, expert in data analysis | Lecturer in management science, information systems option, Nanterre University

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Affiliate Professor of Management

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Climate change, circular economy, ESG, Data & AI, CSR, Sustainable development, GreenIA

Vincent de MONTALIVET
Expert Professor in Sustainable Artificial Intelligence - Sustainable AI Leader @Capgemini

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data science, artificial intelligence, intelligent systems and robotics

Nasreddine MENACER
Assistant professor - doctoral student

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Distributed systems and algorithms, data management, data consistency, autonomous data, multi-agent systems, federated learning

Dr. Etienne MAUFFRET
Associate Professor | Program Manager

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AI & Deep learning, Machine Learning, IoT, Neural networks, AI project management

Dr. Virginie MATHIVET
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AI, Transformation, Digital, Innovation, Data

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Artificial intelligence, Ethics, Philosophy, Data science, Statistics and Machine Learning

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Maud LAMBERT
Expert Professor, Digital and AI Law | Associate Lawyer - Cabinet Smalt Avocats

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Dr. Mostepha KHOUADJIA
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Dr. Chiraz KAROUI
Associate Professor

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Dr. Yang JIAO
Professor and Data Science Expert | Lead Data Scientist at Coface

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Dr. Mounira ILAHI
Associate Professor

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AI, Generative AI, AI Project Management, Deep Learning, Machine Learning, Time Series

Dr. Guillaume HOCHARD
Associate Professor

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AI, Machine Learning

Dr. Souheil HANOUNE
Associate Professor

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Artificial Intelligence and Big Data

Dr. Kaoutar EL HANDRI
Research associate

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Machine Learning, Deep Learning, Signal Processing, Computer Vision

Dr. Hossam FRAIHAT
Research associate

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Transformation program management, IT project management, Change management, Management of international and multicultural teams

Rachida EL AMRANI
Professeur Expert en Management, Gestion de projets IT | Responsable du système d'information Finance de BNP Paribas Asset Management (BNPP AM) - Paris

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Emile EGRETEAU-DRUET
Assistant professor, doctoral student

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AI and blockchain, data science, DataOps...

Dr. Stefan DUPREY
SwissBorg Quant/Blockchain Research & Fund Manager

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Artificial intelligence, human resources, change management, occupational health

Dr. Justine DIMA
Affiliate Professor in AI, Management and Human Resources | Doctoral student in management at Université Laval

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Machine learning, Maths, Computer Science, Philosophy of science, AI, Data science, Reinforcement Learning, Formal verification

Maxime DARRIN
Affiliate Professor of AI Ethics | PhD student in computer science

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AI project management - Strategy and Innovation

Dr. Yvonne DALLE
Expert Professor of Innovation and Strategy | Project Manager specialized in AI/Datascience GROUPE VYV

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AI, Project management, Financial risk, Capital markets

Axel CYPEL
Professor and AI Expert | Head of the LCL AI Projects Department

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, Artificial Intelligence, Machine Learning, Deep Learning

Dr. Burak ÇIVITCIOĞLU
Associate Professor

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Management, Management Control, Communication and Organizational Change, Informal Control and Panoptic Control, Governance and Organizational Performance

Dr. Tawhid CHTIOUI
Chairman of aivancity, Professor

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AI and the Arts, Entrepreneurship

Marion CARRÉ
Expert Professor of AI and the Arts | Co-founder and President of Ask Mona

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, Machine Learning, Natural Language

Dr. Guendalina CALDARINI
Associate Professor and Head of the MSc Data Management program

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Human resources management, Human resources, BU management

Eric Boyrie
Professor - Founder of Ramp-Up-RH

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Data science, Big Data

Dr. Zakaryae BOUDI
Data science expert

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AI ethics, Fairness, privacy, causality, machine learning

Ruta Binkyte-Sadauskiene
Associate Professor in AI Ethics

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IT, Blockchain, IoT, cybersecurity

Dr. Karam BILAMI
Doctor of computer science | Teacher-researcher | Trainer - Freelance

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Sociology of science

Dr. Bilel BENBOUZID
PhD, Affiliate Professor | Affiliate Professor, Ethics of AI | Senior Lecturer in Sociology - Université Paris Est

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IT, Entrepreneurship, Agile, Design thinking

Sébastien de Beauffort
Professor Expert in Entrepreneurship | Entrepreneur

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Governance of AI systems, algorithmic liability, technology law

Yan Elyes BAILI
Professor - Doctoral student in private law

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Artificial Intelligence, Mobile Cognitive Systems, Data Analytics, Business Intelligence

Dr. Aladdin AYESH
Visiting Professor of Artificial Intelligence | Professor of Artificial Intelligence, De Montfort University (Leicester)

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, Data Science, Data Mining, Machine Learning, Artificial Intelligence, The Internet of Things, Computer Networks

Dr. Doreid AMMAR
Professor of Data science and Computer science | Academic Director

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Biotechnology, Artificial intelligence, Data Science

Dr. Ehsan Amin
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Computer Vision, AI

Dr. Yasser ALMEHIO
Associate Professor

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IoT, networks, performance evaluation, machine learning, smart cities

DR. Thiago ABREU
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Robotics and generative AI

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