Dr. Ujjwal Maulik

Based in Kolkata, India

Bio:

Dr. Ujjwal Maulik is a Professor in the Department of Computer Science and Engineering, Jadavpur University since 2004. He was also the former Head of the same Department. He held the position of the Principal in charge and the Head of the Department of Computer Science and Engineering, Kalayni Government Engineering College. Dr. Maulik completed B. Sc. in Physics and B. Tech in Computer Science from Calcutta University, Kolkata, and West Bengal, India in 1986 and 1989 respectively. He also received his M. Tech in Computer Science and Ph. D. in Engineering in 1992 and 1997 both at Jadavpur University, Kolkata, West Bengal, India.

Dr. Maulik worked in many universities and research laboratories around the world as visiting Professor/ Scientist including Los Alamos National Lab., USA in 1997, University of New South Wales, Australia in 1999, Universities of Texas at Arlington, USA in 2001, University of Maryland at Baltimore County, USA in 2004, Fraunhofer Institute for Autonome Intelligent Systems, St. Augustin, Germany in 2005, Tsinghua University, China in 2007, Sapienza University, Rome, Italy in 2008, University of Heidelberg, Germany in 2009, German Cancer Research Center (DKFZ), Germany in 2010, 2011 and 2012, Grenoble INP, France in 2010, 2013 and 2016, University of Warsaw in 2013 and 2019, University of Padova, Italy in 2014 and 2016, Corvinus University, Budapest, Hungary in 2015 and 2016, University of Ljubljana, Slovenia in 2015 and 2017, International Center for Theoretical Physics (ICTP), Trieste, Italy in 2014, 2017 and 2018. He is the recipient of Alexander von Humboldt Fellowship during 2010, 2011 and 2012 and Senior Associate of ICTP, Italy during 2012-2018. He is the Fellow of Indian National Academy of Engineers (INAE), India, International Association for Pattern Recognition (IAPR), USA and The Institute of Electrical and Electronics Engineers (IEEE), USA. His research interest include Machine Learning, Pattern Analysis, Data Science, Bioinformatics, Multi-objective Optimization, Social Networking, IoT and Autonomous Car. In these areas he has published ten books, more than three hundred fifty papers, filed several patents and already guided twenty doctoral students.

ACM involvement:

Published and reviews regularly in ACM Conferences and Journals. Some of them are:

• ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD)

• Asia and South Pacific Design Automation Conference (ASP-DAC)

• ACM Computer Surveys

• IEEE/ACM Transactions on Computational Biology and Bioinformatics

Available Lectures

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Artificial Intelligence and Data Science: Current Trends and Future Challenges
In this lecture first we will describe current trends in Artificial Intelligence (AI), and Data Science. In this regard we will demonstrate applications of different machine learning algorithms...
Computational Intelligence for Bioinformatics
In the first part of the lecture we will discuss several Computational Intelligence Algorithm that is used for optimization, machine learning and data mining tasks. This include Genetic...
Machine Learning and Data Science: Fundamental, Challenges and Future
Supervised and unsupervised pattern classification are important Machine Learning techniques which have wide range of applications. While supervised classification techniques use training...
Unsupervised Pattern Classification in Single and Multi-objective Framework
Data clustering is a popular unsupervised pattern classification technique that is used for partitioning a given data set into homogeneous groups based on some similarity/dissimilarity...

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