OPTImization for MAchine Learning Research Group, IIT Indore

Congratulations Nehal Ahmad-NTUT Taiwan & IIT Indore, Dr. Mudasir Ahmad Ganaie-University of Michigan USA, Ashwani Kumar Malik-IIT Indore, Prof. Kuan-Ting Lai-NTUT Taiwan and Prof. M. Tanveer, IIT Indore for receiving "BEST PAPER AWARD" during the award ceremony of "29th ICONIP 2022 (Core Rank A)" for the paper titled “Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Fuctional Link Network”.

Congratulations Dr. M. Tanveer for receiving 2022 APNNS BEST YOUNG RESEARCHER AWARD during the award ceremony of 29th ICONIP 2022.

Successfully organized 2022 IEEE CIS Summer School on Deep Learning and Computational Intelligence: Theory and Applications at IIT Indore.

Ready to host 2022 IEEE CIS Summer School from Dec. 12-16, 2022 at IIT Indore

Day-1: Following are the Keynote Speakers of IEEE CIS Summer School - 12th Dec. 2022:

09:45-10:30: The 5 most popular artificial neural networks by Jürgen Schmidhuber, Director, KAUST AI Initiative

10:30-11:15: Explainable AI: current status and future directions by Sonali Agarwal, IIIT Allahabad

11:30-13:00: Robust adversarial training: fundamentals and progress by Kaizhu Huang, Duke Kunshan University, China

14:30-16:00: Neural networks and kernel machines: the best of both worlds by Johan Suykens, KU Leuven

IIT Indore is organizing a 5 days IEEE Computational Intelligence Society (CIS) Summer School on "Deep Learning and Computational Intelligence: Theory and Applications" during December 12-16, 2022. Details of the IEEE CIS Summer School are available at

http://events.iiti.ac.in/ieee-cis-summer-school-2022/

The objective of this summer school is to provide a unique platform for young researchers, professionals, and students from all around the world in the recent developments and applicability of deep learning (DL) with computational intelligence (CI). The school will bring people working in CI and DL domains to a common platform for generating innovative ideas. The school will also assess the state of the art on what new directions lie open for research in the areas of CI and DL. In this way, the school will generate exciting new communication across various CI, DL and machine learning disciplines. This summer school features a number of distinguished speakers on DL and CI which will be helpful for researchers and participants.

I hereby request you to join IEEE CIS Summer School and give wide publicity among your colleagues/research scholars and PG students and encourage them to participate in this program and get benefited.

Kindly note the following important deadlines:

Early Bird Registration: November 02-25, 2022

Opening Ceremony: December 12, 2022

Closing Ceremony: December 16, 2022

Some of the eminent speakers are:

Juergen Schmidhuber, Director, KAUST AI Initiative [Homepage] [Google Scholar]

PN Suganthan, Qatar University and NTU Singapore [Homepage] [Google Scholar]

Johan Suykens, KU Leuven [Homepage] [Google Scholar]

CV Jawahar, IIIT Hyderabad [Homepage] [Google Scholar]

Kai Qin, Swinburne University of Technology, Australia [Homepage] [Google Scholar]

Complete list of speakers are available at http://events.iiti.ac.in/ieee-cis-summer-school-2022/main/speaker

OPTIMAL Research Group is excited to share the acceptance of our work entitled "Conv-eRVFL: Convolutional Neural Network based ensemble RVFL classifier for multimodal Alzheimer's Disease diagnosis" in IEEE Journal of Biomedical and Health Informatics (formerly known as IEEE Transactions on Information Technology in Biomedicine).
[SCI Indexed with Impact Factor: 7.02]
https://www.embs.org/jbhi/?fbclid=IwAR3MERSm55ujQixGqzDPhrM5gZZp5cmQp6Ic31sbkpOgtYy3hfSQ5YADO6s

JBHI Homepage - Journal of Biomedical and Health Informatics (JBHI) J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.

OPTIMAL Research Group is pleased to announce that our paper, "Inverse Free Reduced Universum Twin Support Vector Machine For Imbalanced Data Classification," has been accepted by one of the most prestigious journals, Neural Networks, Elsevier (IF: 9.65).
Congratulations to the entire team, especially Dr. M.A. Ganaie (outgoing PhD student of our Lab, currently at University of Michigan, USA).
https://journals.elsevier.com/neural-networks?fbclid=IwAR0kzLhxIVaff1OQiHAB0YrhMc5y1XMhJTSzzObTSQzOaCRV9wh08XEkGUs

Neural Networks - Journal - Elsevier Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of ne…

On the auspicious occasions of Durga Puja and Gandhi Jayanti, the Mathematics Department, IIT Indore hosted a cricket match: Faculty and Research Scholars V/S MSc students. By a wide margin, Faculty Team prevailed in the game 😁

OPTIMAL Research Group is pleased to announce the publication of our article, "Automated Layer-wise Solution for Ensemble Deep Randomized Feed-forward Neural Network," in Neurocomputing, Elsevier.
Link: https://www.sciencedirect.com/science/article/pii/S0925231222012462?fbclid=IwAR05hCfcrWmGTYcCdN4M4dTXe6ewONYLyVHQpCbK-NkhEs4YGRIPR6nU5Ls&via%3Dihub

Automated Layer-wise Solution for Ensemble Deep Randomized Feed-forward Neural Network The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the…

Prof. Narasimhan Sundararajan visited IIT Indore from 8th to 10th of September 2022. He was the speaker for the entire workshop on "How to Improve Your Research Skills" which was being organized by the office of international relations coordinated by Dr. M. Tanveer. This workshop has profoundly helped the research scholars in conducting their research works in an exemplary manner for sure.

Prof. Narasimhan Sundararajan is a Ph.D. graduate in Electrical Engineering from the University of Illinois, Urbana-Champaign, post which he worked in the Indian Space Research Organization, Trivandrum, India as a Control System Designer to Director, Launch Vehicle Design Group contributing to the design and development of the Indian satellite launch vehicles SLV3, ASLV, PSLV and GSLV. His major achievements include working as the Project Engineer (Mission) for the first Indian Satellite Launch Vehicle project SLV3 team working directly under Dr. A. P. J. Abdul Kalam, he has been an NRC Research Associate at NASA - Ames in 1974 and a Senior NRC Research Associate at NASA Langley in 1981-86 under the National Academy of Sciences, USA program as well. Then, he worked in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, as a professor and retired from that position.

"How to Improve Your Research Skills?"
Date: September 08-10, 2022.

Register yourself to book your seat on: https://forms.gle/eDKPgToPP8mTfgEeA

Details of our eminent speaker:
Prof. N Sundararajan
School of Electrical & Electronic Engineering
Nanyang Technological University, Singapore.

Coordinator Name: Dr. M. Tanveer ([email protected])