Machine Intelligence & Data Analytics
Jointly Organized by
Department of Information Technology &
Centre for Faculty & Staff Development
Sikkim Manipal Institute of Technology, Sikkim
IDEAS-Technology Innovation Hub
Indian Statistical Institute, Kolkata
Machine Intelligence and data analytics are two closely related fields that have become increasingly important in recent years, especially in the context of emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT). Machine Intelligence refers to the ability of machines to learn, reason, and make decisions based on data, without explicit programming. It involves the use of algorithms and statistical models to analyse large datasets, recognise patterns, and make predictions. Machine Intelligence is the foundation of various applications, including speech recognition, natural language processing, computer vision, and robotics. Data analytics, on the other hand, is the process of inspecting, cleaning, transforming, and modelling data in order to discover useful insights and make informed decisions.
The IDEAS-Technology Innovation Hub at Indian Statistical Institute Kolkata, is a platform for promoting innovation and entrepreneurship in India. It is one of the twenty five TIHs established by the Ministry of Education, Government of India, under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). The primary goal of IDEAS-TIH ISI Kolkata is to encourage and support research and development activities in areas such as healthcare, energy, transportation, agriculture, and education, among others. The hub also focuses on creating a conducive ecosystem for startups and promoting collaboration between academia, industry, and the government. IDEAS-TIH ISI Kolkata offers various programs and initiatives to facilitate innovation and entrepreneurship, including incubation support, funding opportunities, training and capacity building, mentorship, and networking events. The hub also collaborates with other institutions and organisations in India and abroad to leverage their expertise and resources.
The Department of Information Technology at Sikkim Manipal Institute of Technology (SMIT) is one of the prominent departments of the institute, which is located in the state of Sikkim, India. The department is known for offering undergraduate, and PhD programs in Information Technology and related fields. The department aims to impart quality education in the field of Information Technology and produce skilled professionals who can meet the demands of the industry. It provides a comprehensive curriculum that covers topics such as programming languages, database management, web technologies, artificial intelligence, machine learning, data analytics, and cybersecurity. The faculty members of the department are highly qualified and experienced in their respective domains. They use modern teaching methodologies, such as project-based learning, to ensure that the students receive a practical understanding of the subject matter. The department also collaborates with industry partners to provide students with internships and real-world experiences.
The Centre for Faculty & Staff Development, SMIT was established in the year 2017 with the objective to provide and facilitate various technical, social, academic, ethical, and administrative trainings to the in-house and external faculty members. The Centre has successfully organized various training programs conducted by AICTE. In addition, the center has also conducted webinars, workshops and FDP programs on the recent trends of technology to acquaint the faculty members to enhance the teaching-learning process and stay aligned with the current industry requirements.
• Hybrid-Mode: The workshop will be organized in a hybrid mode, allowing participants to join both online and offline.
• Online Participation: Participants can join the workshop remotely via MS Teams Video Conferencing platform.
• Offline Participation: Only 30 seats will be allocated in offline mode, on a first-come-first-serve basis.
• Interactive Lectures: Resource persons will deliver lectures in an interactive mode, allowing for Q&A and discussions with participants.
• Hands-on Sessions: Resource persons will conduct hands-on sessions of the workshop on Deep Learning including MLP, CNN, LSTM, BLSTM etc.
Day 1
19 June 2023
Day 2
20 June 2023
Day 3
21 June 2023
9:45 AM - 11:15 AM
Inauguration Program
11:15 AM - 11:30 AM
Tea Break
11:30 AM - 1:00 PM
Lecture Session-1 (Online)
Speaker: Michael Blumenstein
Session Chair: Umapada Pal
1:00 PM - 2:00 PM
Lunch
2:00 PM - 3:30 PM
Lecture Session-2 (Online)
Speaker: Shin’ichi Satoh
Session Chair: Saumik Bhattacharya
3:30 PM - 3:45 PM
Tea Break
3:45 PM - 5:15 PM
Lecture Session-3 (Offline)
Speaker: Suresh Sundaram
Session Chair: Om Prakash Singh
9:45 AM - 11:15 AM
Lecture Session-4 (Online)
Speaker: Éric Granger
Session Chair: Ashish Ghosh
11:15 AM - 11:30 AM
Tea Break
11:30 AM - 1:00 PM
Lecture Session-5 (Online)
Speaker: Ashish Ghosh
Session Chair: Bhaskar Bhuyan
1:00 PM - 2:00 PM
Lunch
2:00 PM - 3:30 PM
Lecture Session-6 (Offline)
Speaker: Saumik Bhattacharya
Session Chair: Diganta Baruah
3:30 PM - 3:45 PM
Tea Break
3:45 PM - 5:15 PM
Hands on Session on DL & ML (I)
- Siladittya Manna
9:45 AM - 11:15 AM
Lecture Session-7 (Offline)
Speaker: Saumik Bhattacharya
Session Chair: Chandralika Chakraborty
11:15 AM - 11:30 AM
Tea Break
11:30 AM - 1:00 PM
Lecture Session-8 (Online)
Speaker: Lianwen Jin
Session Chair: Umapada Pal
1:00 PM - 2:00 PM
Lunch
2:00 PM - 3:30 PM
Lecture Session-9 (Online)
Speaker: Massimo Tistarelli
Session Chair: Barnali Dey
3:30 PM - 3:45 PM
Tea Break
3:45 PM - 5:15 PM
Hands on Session on DL & ML(II)
- Siladittya Manna
Dean Faculty of Engineering and Information Technology
University of Technology Sydney, Australia
Professor Michael Blumenstein is currently the Deputy Dean (Research and Innovation) in the Faculty of Engineering & IT at UTS where he previously held the positions of Associate Dean (Research Strategy and Management) and prior to that the Head of the School of Software (now Computer Science). Previously, Professor Blumenstein worked at Griffith University in Queensland where he accumulated over a decade of experience in leadership roles including portfolio Dean (Research) of the Sciences Group and Head of the School of ICT. Professor Blumenstein currently serves on the Board of the Internet of Things Alliance Australia (IoTAA). He previously served as Vice President (Academic) of the Australian Computer Society (ACS), and prior to that as Director of Technical Advisory Boards. Professor Blumenstein was also elected onto and served as a member on the NSW Council of the Australian Information Industry Association (AIIA). Prior to moving to NSW, he served as the Chair of the Queensland Branch of the Institute for Electrical and Electronic Engineers (IEEE) Computational Intelligence Society. He was also the Gold Coast Chapter Convener and a Board Member of the ACS Queensland Branch Executive Committee. He is a past Chairman of the IT Forum Gold Coast and a former Board Member of IT Queensland. Michael has served on the Australian Research Council's (ARC) College of Experts on the Engineering, Mathematics and Informatics (EMI) panel. In addition, he also served on the Executive of the Australian Council of Deans of Information and Communication Technology (ACDICT)
https://scholar.google.co.in/citations?user=4m2G-H8AAAAJ&hl=en https://dblp.org/pid/45/1824.html
Professor in Computer Science
University of Sassari, Italy
Massimo Tistarelli (Senior Member, IEEE) received the Ph.D. degree in computer science and robotics from the University of Genoa. He is currently a Full Professor (with tenure) in computer science and the Director of the Computer Vision Laboratory, University of Sassari, Italy. He is also a Founding Member of the Biosecure Foundation, which includes all major European research centers working in biometrics. His main research interests include biological and artificial vision (particularly in the area of recognition, three-dimensional reconstruction, and dynamic scene analysis), pattern recognition, biometrics, visual sensors, robotic navigation, and visuo-motor coordination.(Based on document published on 26 January 2023).
https://scholar.google.com/citations?user=DdyCvCgAAAAJ&hl=en
Director of Lab of Deep Learning & Vision Computing School of Electronics & Information Engineering
South China University of Technology, China
Jin Lianwen is a professor at South China University of Technology. His research interests include optical character recognition, document image understanding, computer vision and artificial intelligence. He has published over 200 papers in important academic journals such as IEEE TPAMI/TIP/TNNLS/TMM/TIFS/TCSVT, Pattern Recognition, as well as in major international conferences such as ICDAR, ICFHR, CVPR, ECCV, IJCAI, and AAAI. His papers on Google Scholar have been cited over 10,000 times, and he has an H-Index of 56. He has served as a PC member, SPC member or AC for international conferences such as ICDAR, ICFHR, CVPR, ICCV, and IJCAI. He received the New Century Excellent Talent Program of MOE Award and the Guangdong Pearl River Distinguished Professor Award in 2006 and 2011, respectively. In recent 6 years, he has mentored students to participate in academic competitions at well-known international conferences such as CVPR, ICDAR, and ICPR, winning the first place over 20 times.
http://www.dlvc-lab.net/lianwen/Index.html
Professor, Digital Content and Media Sciences Research Division
National Institute of Informatics, Japan
Shin'ichi Satoh received the BE degree in electronics engineering and the ME and PhD degrees in information engineering from the University of Tokyo, Tokyo, Japan, in 1987, 1989, and 1992, respectively. He has been a full professor with the National Institute of Informatics, Tokyo, Japan, since 2004. He was a Visiting Scientist with the Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA, from 1995 to 1997. His current research interests include image processing, video content analysis, and multimedia databases.
https://scholar.google.com/citations?user=7aEF5cQAAAAJ&hl=en
Professor, Department of Automated Manufacturing Engineeering
École de technologie supérieure ÉTS, Canada
Eric Granger (Member, IEEE) received the PhD degree in EE from Ecole Polytechnique de Montréal in 2001. From 1999 to 2001, he was a defense scientist with DRDC, Ottawa, and from 2001 to 2004, with R&D with Mitel Networks. In 2004, he joined the Deptartment of Systems Engineering, École de technologie supérieure, Université du Québec, Montreal, Canada, where he is currently a full professor and the director of LIVIA, a research laboratory focused on computer vision and artificial intelligence. His research interests include pattern recognition, machine learning, computer vision, and computational intelligence, with applications in affective computing, biometrics, face recognition, medical image analysis, and video surveillance.
https://scholar.google.com/citations?user=TmfbdagAAAAJ&hl=en
Project Director, IDEAS-Technology Innovation Hub Professor (HAG & former Head, Machine INtelligence Unit)
Indian Statistical Institute, Kolkata, India
Ashish Ghosh (Senior Member, IEEE) is a Professor with the Machine Intelligence Unit, Indian Statistical Institute. He has authored or coauthred around 250 research papers in internationally reputed journals and refereed conferences, and has edited eight books. His research interests include pattern recognition, machine learning, data mining, image and video analysis, soft computing, neural networks, evolutionary computation, and bioinformatics. He was the recipient of the the Young Scientists Award from the Indian Science Congress Association in 1992 and the Indian National Science Academy in 1995. He is acting as a Member of the Editorial boards of various international journals.
https://scholar.google.co.in/citations?hl=en&user=JzwlRtAAAAAJ
Asstt. Professor, Department of Electronics and Electrical Communication Engineering
Indian Institute of Technology Kharagpur, India
Saumik Bhattacharya is an Assistant Professor in the Department of Electronics and Electrical Communication Engineering (E&ECE) at IIT Kharagpur. Before that, He was an Assistant Professor in the Department of Electronics and Communication Engineering (ECE) at IIT Roorkee. During 2017-2018, He worked as a postdoctoral researcher at CVPR unit in ISI Kolkata. Earlier, He completed his Ph.D. in Electrical Engineering from IIT Kanpur in 2017 under the supervision of Prof. Sumana Gupta and Prof. K. S. Venkatesh.
https://scholar.google.co.in/citations?user=8pffuA4AAAAJ&hl=en
Associate Professor, Department of Electronics and Electrical Engineering
Indian Institute of Technology Guwahati, India
Dr. Suresh Sundaram received the Ph.D. degree from the Indian Institute of Science, Bengaluru, India, in 2012. He was a Research Consultant with Hewlett Packard Research Labs, Bengaluru, from 2012 to 2013. Since 2013, he is with the Department of Electronics and Electrical Engineering, IIT Guwahati, Guwahati, India and is currently an Associate Professor. His current research interests include handwriting recognition, biometrics, and document analysis.
https://scholar.google.com/citations?user=XkrZYXsAAAAJ&hl=en
Senior Research Fellow, CVPR Unit
Indian Statistical Institute, Kolkata
Siladittya Manna received Dual Degree (BTech-MTech) in Electronics and Telecommunication Engineering from the Indian Institute of Engineering Science and Technology, Shibpur, India in 2019. He is currently a Senior Research Fellow with the Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India. His research interests include Self-Supervised Learning, Computer Vision, Medical Image Analysis.
https://scholar.google.com/citations?user=6V9sqi0AAAAJ&hl=en
Prof. (Dr.) K.Ramnarayan
Pro Chancellor, SMU, Sikkim
Lt. Gen. Dr. Rajan S Grewal
Vice Chancellor, SMU, Sikkim
Umapada Pal
CVPR Unit, ISI Kolkata
Kalpana Sharma
Associate Director(R&D), SMIT, Sikkim
Diganta Baruah
Department of IT, SMIT, Sikkim
Bhaskar Bhuyan
Department of IT, SMIT, Sikkim
Chandralika Chakraborty
Department of IT, SMIT, Sikkim
Biswajit Deb
Department of Mathematics, SMIT, Sikkim
Barnali Dey
Department of IT, SMIT, Sikkim
Saumya Das
Department of IT, SMIT, Sikkim
Arnab Das
Department of IT, SMIT, Sikkim
Divyansh Bhardwaj
Department of IT, SMIT, Sikkim
Srijan Dev
Department of IT, SMIT, Sikkim
Saumya Anand
Department of IT, SMIT, Sikkim
Karan Kumar Singh
Department of IT, SMIT, Sikkim
Srayoshi Mukherjee
Department of IT, SMIT, Sikkim
Prof. (Dr.) G.L.
Sharma
Director, SMIT, Sikkim
Prof. (Dr.) Karma Sonam Sherpa
Registrar, SMU, Sikkim
Udayan Baruah
HOD, Department of IT, SMIT, Sikkim
Om Prakash Singh
Head, CFSD, SMIT, Sikkim
Palash Ghosal
Department of IT, SMIT, Sikkim
Ashis Datta
Department of IT, SMIT, Sikkim
Sonam Lhamu Bhutia
Department of IT, SMIT, Sikkim
Rustam Ali Ahmed
Department of IT, SMIT, Sikkim
Nirmal Rai
Department of IT, SMIT, Sikkim
Prof. (Dr.) K.Ramnarayan
Pro Chancellor, SMU, Sikkim
Lt. Gen. Dr. Rajan S Grewal
Vice Chancellor, SMU, Sikkim
Prof. (Dr.) G.L.
Sharma
Director, SMIT, Sikkim
Prof. (Dr.) Karma Sonam Sherpa
Registrar, SMU, Sikkim
Umapada Pal
CVPR Unit, ISI Kolkata
Kalpana Sharma
Associate Director(R&D), SMIT, Sikkim
Udayan Baruah
HOD, Department of IT, SMIT, Sikkim
Om Prakash Singh
Head, CFSD, SMIT, Sikkim
Palash Ghosal
Department of IT, SMIT, Sikkim
Diganta Baruah
Department of IT, SMIT, Sikkim
Bhaskar Bhuyan
Department of IT, SMIT, Sikkim
Chandralika Chakraborty
Department of IT, SMIT, Sikkim
Biswajit Deb
Department of Mathematics, SMIT, Sikkim
Barnali Dey
Department of IT, SMIT, Sikkim
Saumya Das
Department of IT, SMIT, Sikkim
Ashis Datta
Department of IT, SMIT, Sikkim
Sonam Lhamu Bhutia
Department of IT, SMIT, Sikkim
Rustam Ali Ahmed
Department of IT, SMIT, Sikkim
Nirmal Rai
Department of IT, SMIT, Sikkim
Arnab Das
Department of IT, SMIT, Sikkim
Divyansh Bhardwaj
Department of IT, SMIT, Sikkim
Srijan Dev
Department of IT, SMIT, Sikkim
Saumya Anand
Department of IT, SMIT, Sikkim
Karan Kumar Singh
Department of IT, SMIT, Sikkim
Srayoshi Mukherjee
Department of IT, SMIT, Sikkim
• UG/ PG Students & PhD. Scholars: ₹800/-
• Faculty: ₹1000/-
• Industry Professionals: ₹1200/-
• Access to all sessions of the workshop
• Breakfast, Lunch and Tea during the event.
• Sharing/Single Accommodation will be provided to the offline candidates on payment basis
• UG/ PG Students & PhD. Scholars: ₹300/-
• Faculty: ₹500/-
• Industry Professionals: ₹600/-
