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Dedicated AI/ML Researcher devoted to pushing the boundaries of Artificial Intelligence and ensuring its constructive influence on human society. Specialising in Continual Machine Learning, my focus lies in developing versatile and adaptive systems tailored for dynamic environments. My research centres on advancing sensory perception and behavioural learning in autonomous agents, with a strong emphasis on promoting fairness and equity. I boast of a track record of successful interdisciplinary collaborations, actively engaging with experts from diverse fields. Committed to leveraging AI and ML for innovation, I am dedicated to addressing real-world challenges.

Education
Doctor of Philosophy (Computer Science), University of Cambridge

Research focussed on developing (deep) Continual Machine Learning solutions for personalised perception and context-appropriate behavioural learning for robots.

Thesis: Continual Learning for Affective Robotics

Oct 2018 – Sep 2022Cambridge, UK

Supervised by Prof Hatice Gunes

Masters of Science (Intelligent and Adaptive Systems), Universität Hamburg

Research focussed on End-to-End Deep Learning solutions for Multi-modal Perception and Behavioural Learning for Social Robots.

Thesis: Modelling Affective Cores for Behaviour Modulation in Social Robots

Oct 2015 – Mar 2018Hamburg, Germany

Supervised by Prof Dr Stefan Wermter

Grade: 1.0 mit Auszeichnung bestanden (Distinction).

Professional Experience
Postdoctoral Research Associate, University of Cambridge

Postdoc researcher at the Affective Intelligence and Robotics (AFAR) Lab investigating Federated Continual Learning solutions for Affective and Social Robotics.

Oct 2022 – presentCambridge, UK
Research Assistant (HiWi), Universität Hamburg

Worked at the Technical Aspects of Multimodal Systems (TAMS) group (Apr 2016 - Mar 2017) and Knowledge Technology (WTM) group (Apr 2017 - Sept 2018). Research focussed on developing ML solutions for 3D pose estimation (TAMS) and Multi-modal Affect Perception for Social Robots (WTM).

Apr 2016 – Sep 2018Hamburg, Germany
Project Manager, Chitkara University

Developed and managed industry-academia collaboration projects ranging from Industrial Automation, IoT, AI/ML, Mobility and Big Data, partnering with industry leaders and government agencies for SME development.

Sep 2014 – Mar 2016Chandigarh, India
Centre Head, North India Operations, Steinbeis India

Designed, implemented and managed Technology Transfer and Skill-building Projects for Industrial Automation of SMEs in North India.

Dec 2013 – Aug 2014Delhi, India
Systems Engineer, Education and Research, Infosys Limited

Provided Project consultation and internal employee training on Programming Languages, Databases and Software Engineering.

Sep 2011 – Dec 2013Mysore, India
Skills
Machine Learning|Computer Vision|Deep Learning|Continual Learning|Bio-inspired AIAffective Computing|OpenCV|Federated Learning|Human-Robot Interaction|RoboticsMulti-modal Learning (Vision, Audio)|Reinforcement Learning|Python|Jupyter|Pandas|NumpyFeature Engineering|Data Transformations|Data Visualisation (Matplotlib, Seaborn, Plotly)|Git|C++Java|ML Frameworks (PyTorch, Tensorflow, Keras, Scikit-learn, Flower, HuggingFace)|Agile DevelopmentNeural Networks (CNNs, RNNs, LSTMs, CapsuleNets, Transformers)|Generative Models (AutoEncoders, GANs, VAEs)Relational Databases (SQL, MySQL, SWQLite3)
Awards
RSJ/KROS Distinguished Interdisciplinary Research Award (Finalist), IEEE RO-MAN 2021
Aug 2021
Best Doctoral Consortium Paper Award, IEEE Face and Gestures 2020
Nov 2020
IEEE CIS Travel Award, IEEE World Congress on Computational Intelligence, 2018
Jul 2018
DAAD Leistungsstipendium, Universität Hamburg
Nov 2016
Teaching Experience
Teaching Assistant, University of Cambridge

Mobile Robot Systems (2019, 2020), Interaction Design (2019, 2020), Affective Computing (2020, 2024) and Further Human-Computer Interaction (2022).

2019 – presentCambridge, UK
MPhil Supervisions, University of Cambridge
  • Continual Reinforcement Learning for Socially Appropriate Robot Behavioural Learning
  • Latent Generative Replay for Resource-Efficient Continual Learning
  • 2020 – 2022Cambridge, UK
  • Learning Socially Appropriate Behaviours for Humanoid Service Robots
  • Selected Publications (Full list on Google Scholar)