DR. IRFAN KHAN TANOLI
ABOUT
I completed my Ph.D. in Computer Science at the Gran Sasso Science Institute L'Aquila in collaboration with IMT Lucca Italy, working on Natural Language Processing for natural language translation into machine language. Later, I joined UBI as an Assistant Researcher in the project "Moves" and "Hultig". This work was supported by National Founding from the FCT - Fundação para a Ciência e a Tecnologia. I was also the research intern at IMDEA Software at Madrid Spain during my master studies.
The focus of my research interest is on natural language processing,
machine learning, Lexical semantics, deep learning, deep fake, sentiment analysis on social networks, Information Retrieval, Data minning, Privacy and Security.
Topic of interest in particular
1) Statistical Machine Translation
2) Deep Learning for Natural Language Processing
3) Neural Machine Translation
4) Smartcontracts for Deep Fake
Project
Monitoring Virtual Crowds in Smart Cities
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It will begin by presenting the activities of R&D to develop, followed by the organisation and logic of structuring the plan of work, the justification of the research strategy to adopt and its adequacy to the objectives of the project. The project management structure and decision-making mechanisms will subsequently be described.
Publications
Under Work
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Paper: Irfan Khan Tanoli, Natasha Advani. “Fake currency detection using Deep Learning”.
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Paper: Irfan Khan Tanoli, Imed Ali. “Cost Deduction of Resources using Kubernetes”.
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Paper: Irfan Khan Tanoli, Ritu Taalreja. “Sentiment Analysis based on social media using Deep Learning”.
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Paper: Irfan Khan Tanoli, Syeda Zehra Zaidi. “Covid-19 spreading trend forecasting through social sentiment analysis”.
Under Review:
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Paper: Irfan Khan Tanoli, Marinella Petrocchi “Towards Systematic Translation of Social Network Privacy Policies into Controlled Natural Language.” ( Journal: Artificial Intelligence and Law .)
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Paper: Irfan Tanoli; Sebastião Pais; João Cordeiro; Muhammad Luqman Jamil. “Detection of Radicalisation and Extremism Online: A Survey” (Journal: Cognitive Computation ) Journal Publication:
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Publication:
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Paper: Irfan Khan Tanoli, Yaseen Khan Tanoli and Asif Khalid Qureshi.2021. Semi-automatic Translations of Data Privacy Policies into Controlled Natural Languages in Journal of Independent Studies and Research Computing (JISR 21).
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Paper: Sebastião Pais, Irfan Tanoli, Miguel Albardeiro, and Joao Cordeiro. 2020. Unsupervised Approach to Detect Extreme Sentiments on Social Networks. In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM ’20). Association for Computing Machinery.
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Paper: Sebastião Pais, Irfan Tanoli, Miguel Albardeiro, João Cordeiro, A Lexicon Based Approach to Detect Extreme Sentiments in Proceedings of the International Conference on Internet Monitoring and Protection ICIMP 2020. (Best Paper Award in ICIMP 2020).
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Paper: Irfan Tanoli, Sebastião Pais, Modelling Natural Language Policies into Controlled Natural Language: A Twitter Case Study, in Proceedings of the Fifteenth International Conference on Internet Monitoring and Protection ICIMP 2020.
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Paper: Sebastião Pais, Irfan Tanoli, Miguel Albardeiro, João Cordeiro, Language-Independent Approaches to Detect Extremism and Collective Radicalisation Online. in Proceedings of the Fifteenth International Conference on Internet Monitoring and Protection ICIMP 2020.
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Paper: Irfan Khan Tanoli, Rocco {De Nicola} and Marinella Petrocchi, Towards Automatic Translation of Social Network Policies into Controlled Natural Language, in Proceedings of IEEE 12th International Conference on Research Challenges in Information Science (RCIS 2018), IEEE, 2018.
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Paper: Antonio Nappa, Rana Faisal Munir, Irfan Khan Tanoli, Christian Kreibich, Juan Caballero: RevProbe: detecting silent reverse proxies in malicious server infrastructures. ACSAC 2016: 101-112.
LET’S CONNECT
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