Call for Invited Sessions

Deadline for proposals: April 10, 2023 May 10, 2023

Invited session proposals will be evaluated based on the timeliness, uniqueness of the topic and qualifications of the proposers. The proposers are expected to have a PhD degree and have a good publication track record in the proposed area. After review, a decision on whether the proposal will be accepted will be sent to the proposers within two weeks after receipt of the proposals. Accepted invited sessions will be listed on the website. However, it is likely that an accepted proposal will be combined with another one to avoid multiple invited sessions covering similar topics. A maximum of 30 invited sessions will be accepted for ICONIP2023. A final decision will be made two weeks after the submission deadline.

Invited session proposals should be sent by e-mail to: Prof. Lin Xiao ([email protected]) with a copy to [email protected]. All proposals should be submitted by April 10, 2023 May 10, 2023 Early proposals are highly encouraged.

Manuscripts submitted to invited sessions should be done through the paper submission website of ICONIP2023 as regular submissions to the designated invited session (by scrolling down the topic list). It is the responsibility of the authors to make sure that papers submitted to an invited session clearly indicate the name of the invited session the paper belongs to. All papers submitted to invited sessions will be subject to the same peer-review procedure as regular papers. Invited sessions having fewer than 4 accepted papers will be cancelled and the accepted papers will be moved to regular sessions.

In case of any specific needs or questions, please do not hesitate to contact the conference secretariat at: [email protected].

We look forward to receiving your research contributions and we will be happy to host you in Changsha, China.

The template for invited session proposal. (Template_invited_session_proposal.docx)

List of Accepted Invited Sessions

ID	Title	Proposers	Contact	Affiliation
NIPS-01	Distributed Control and Optimization of Constrained Networked Complex Systems	Junjie Fu	[email protected]	Southeast University
		Yuezu Lv	[email protected]	Beijing Institute of Technology
		Jialing Zhou	[email protected]	Beijing Institute of Technology
		Ying Wan	[email protected]	Southeast University
		Guanghui Wen	[email protected]	Southeast University
NIPS-02	Reliable, Robust and Secure Machine Learning Algorithms	Monowar Bhuyan	[email protected]	Umeå University
		Xuan-Son Vu	[email protected]	Umeå University
		Shashi Gowda	[email protected]	Devr Inc
		Erik Elmroth	[email protected]	Umeå University
		Harry Nguyen	[email protected]	University College Cork
NIPS-03	Metaheuristics and Evolutionary Computation in Intelligent Information Processing: Theoretical Foundations and Applications	Weng Kin Lai	[email protected]	Tunku Abdul Rahman University of Management & Technology
		Chu Kiong Loo	[email protected]	University of Malaya
		Chee Peng Lim	[email protected]	Deakin University
NIPS-04	Computationally Intelligent Techniques in Processing and Analysis of NeuronalInformation	Mufti Mahmud	[email protected]	Nottingham Trent University
		Maryam Doborjeh	[email protected]	Auckland University of Technology
		M Shamim Kaiser	[email protected]	Jahangirnagar University
NIPS-05	New Trends of Swarm Intelligence Optimization Assisted by Machine Learning Techniques	Xinyu Zhou	[email protected]	Jiangxi Normal University
		Wenlong Ni	[email protected]	Jiangxi Normal University
		Hu Peng	[email protected]	Jiujiang University
		Hui Wang	[email protected]	Nanchang Institute of Technology
		Shahryar Rahnamayan	[email protected]	Brock University
NIPS-06	Advanced Computational Intelligence for Sustainable Transportation	Ruobin Gao	[email protected]	Nanyang Technological University
		P. N. Suganthan	[email protected]	Qatar University
		Kevin X. Li	[email protected]	Zhejiang University
		Kum Fai Yuen	[email protected]	Nanyang Technological University
NIPS-07	Intelligent Control and Decision-making of Unmanned Systems	Bin Xu	[email protected]	Northwestern Polytechnical University
		Quan-Yong Fan	[email protected]	Northwestern Polytechnical University
		Weixin Han	[email protected]	Northwestern Polytechnical University
NIPS-08	Dendritic neuron model: Theory, design, optimization and applications	He Huang	[email protected]	Soochow University
		Junkai Ji	[email protected]	Shenzhen University
		Jian Wang	[email protected]	China University of Petroleum
		Dongpo Xu	[email protected]	Northeast Normal University
NIPS-09	Federated Learning for Industry 5.0	Thippa Reddy Gadekallu	[email protected]	Jiaxing University
		Gautam Srivastava	[email protected]	Brandon University
		Nancy Victor	[email protected]	Vellore Institute of Technology
		Wei Wang	[email protected]	Shenzhen MSU-BIT University
NIPS-10	AI-based Multimodal Data Analysis for Medical and Health Applications	Md Zakir Hossain	[email protected]	Curtin University
		Syed Mohammed Shamsul Islam	[email protected]	Edith Cowan University
		Asim Iqbal	[email protected]	Cornell University
		Bao-Liang Lu	[email protected]	Shanghai Jiao Tong University
		Tom Gedeon	[email protected]	Curtin University
NIPS-11	Engineering applications of hybrid artificial intelligence tools	Zbigniew Gomolka	[email protected]	University of Rzeszow
		Yuryi Kondratenko	[email protected]	Petro Mohyla Black Sea National University
		Boguslaw Twarog	[email protected]	University of Rzeszow
		Ewa Dudek-Dyduch	[email protected]	Academy of Mining and Metallurgy in Cracow
		Damian Kordos	[email protected]	Rzeszow University of Technology
NIPS-12	Advanced Computational Intelligence Applications for Modelling, Optimization, Control, and Planning of Smart Grid	Xiangyu Li	[email protected]	University of New South Wales
		Zihang Qiu	[email protected]	Software R&D; Engineer,Technology of Digital Energy