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MISP 2021

3rd INTERNATIONAL CONFERENCE ON MACHINE

INTELLIGENCE AND SIGNAL PROCESSING

SEPTEMBER 23 - 25, 2021, NIT ARUNACHAL PRADESH, INDIA

Paper Submission is Now Open! 

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ABOUT THE

CONFERENCE

The International Conference on Machine Intelligence and Signal Processing (MISP 2021) will be held at National Institute of Technology, Arunachal Pradesh, India, during September 23-25, 2021. This conference is meant for researchers all over the globe interested in the areas of data mining, artificial intelligence, optimization, machine learning methods/ algorithms, signal processing theory and methods, and applications to human brain disorders like epilepsy, Alzheimer’s, sleep disorders etc. Other applications of machine learning and signal processing techniques are also welcome.

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ABOUT NIT ARUNACHAL PRADESH

The National Institute of Technology, Arunachal Pradesh was inaugurated on 18th August, 2010 as a member of a group of ten new NITs. These new NITs were established as centres of excellence in technical education to combat the growing need of technological professionals in India. 

Initialy the NIT AP started functioning in a hired building at Yupia, district Papumpare as its temprorary site. Its permanent site is under construction at Jote, Papumpare, surrounded by Lush green forest and mountains. The area is picturesque and surrounding makes it ideal for a nobel academic environment.

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ABOUT ARUNACHAL PRADESH

Arunachal Pradesh is a veritable treasure house of nature. If someone is seeking to step into a world of extraordinary beauty and discover experiences found nowhere else on earth, Arunachal Pradesh is the right place to step in. The state is inhabited by 26 major tribes and over 100 sub-tribes. Arunachal Pradesh is also known as the “Land of the Rising Sun”. Land of the Dawn-Lit Mountains is the sobriquet for the state & also known as the Orchid State of India or the Paradise of the Botanists. Geographically, it is the largest of the North-eastern states of India known as the Seven Sister States.

 
 

CONFERENCE TOPICS

The 3rd International Conference on Machine Intelligence and Signal Processing (MISP 2021) will be held in NIT Arunachal Pradesh, India from 23rd September to 25th September, 2021. The conference will consist of talks by keynote speakers, followed by main conference sessions. We invite submissions of papers on all topics related to machine intelligence and signal processing for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.

COMPUTER VISION & PATTERN RECOGNITION

MACHINE LEARNING

  • Feature Extraction

  • Least-Squares SVM (LS-SVM)

  • Support Vector Machines (SVM)

  • Twin SVM (TWSVM)

  • Extreme Learning Machine (ELM)

  • Artificial Neural Network (ANN)

  • Kernel Design

  • Randomization-Based Neural Networks and Learning Systems 

  • Machine Learning Architectures and Formulations

  • Medical, Biological and Cell Microscopy

  • Neural Generative Models, Auto Encoders, GANs

  • Optimization and Learning Methods

  • Deep Learning

  • Natural Language Processing

  • Hybrid Machine Learning Systems for NLP

  • Information Retrieval & Extraction

  • Artificial Intelligence and Recommender systems

  • Data, Web, and Text mining

  • Trustworthy Machine Learning

COMPUTER VISION & PATTERN RECOGNITION

  • 3D Computer Vision

  • Action and Behaviour Recognition

  • Adversarial Learning, Adversarial Attack and defence 

  • Biometrics, Face, Gesture, Body Pose

  • Computational Photography, Image and Video Synthesis Datasets and Evaluation

  • Efficient Training and Inference Methods for Networks

  • Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision

  • Image Retrieval

  • Recognition (Object Detection, Categorization)

COMPUTATIONAL

LEARNING THEORY

  • Active Learning

  • Incremental Learning and Online Learning

  • Reinforcement Learning and Planning

  • Manifold Learning and Regularization

  • Multi-Task Learning

  • Semi-Supervised Learning

  • Dimensionality Reduction

  • Probabilistic Methods

BIG DATA ANALYTICS

  • Big Data: Novel Theory, Algorithms and Applications 

  • 5 V's of Big Data

  • Map Reduce for Big Data Processing

  • Distributed File Systems for Big Data

  • Big Data Visualization

  • Big Data Mining

  • Large Data Stream Processing

  • Big Data Applications

  • Sensor Network, Social Network 

  • Techniques, Models and Algorithms for Big Data

  • Big Data Analytics and Social Media

  • Hardware/Software Infrastructure for Big Data

  • Mobile Communications and Networks

  • Security and Privacy for Big Data

  • Data Compression

NETWORK INTELLIGENCE

  • Artificial intelligence Techniques and Models for Network and Service Management 

  • Wireless Ad Hoc Networks

  • Vehicular Ad Hoc Networks

  • Smart Service Orchestration and Delivery

  • Software-defined Networking

  • Centralized vs Distributed Control of SDN/NFV

  • IoT and Machine Learning

  • Encryption and Cybersecurity

  • Cloud Computing and Security

  • Cloud Computing Models, Simulations, Designs, and Paradigms

  • Data Security and Privacy in the IoT

  • BlockChain Technology

APPLICATIONS

  • Brain-Computer Interfacing

  • Human-Machine Interaction

  • Automated Machine Interaction

  • Early Diagnosis of Alzheimer's disease

  • Brain Imaging 

  • Epilepsy Detection

  • Detection of Sleep disorders

  • Computational Biology 

  • Crowdsourcing

  • Healthcare

  • Neuroscience 

  • Social Good 

  • Climate Science

  •  Hydrology

SIGNAL PROCESSING

  • Signal Processing Systems and Architectures

  • Signal Processing Algorithms

  • Time-Frequency Analysis

  • Nonlinear Signal Processing

  • Nonstationary Signal Processing

  • Adaptive Signal Processing

  • Signal Processing for Smart System

  • Biomedical Signal Processing and Bioinformatics

  • Sparse Signal Processing

  • Signal Processing for IoT

  • Coding and Compression

  • Signal Processing for Smart Systems

 
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PUBLICATION

In the last conferences MISP 2017 (IIT Indore) and MISP 2019 (IIIT Allahabad), all accepted papers have been published in the Conference Proceeding as Springer AISC book series (https://www.springer.com/series/11156) in Springer. This year the Conference Proceeding will be published in Lecture Notes in Electrical Engineering (https://www.springer.com/ series/7818). (Indexed by EI Compendex and Scopus databases). Authors are requested to submit their Manuscripts through the Easy Chair System. The paper must be maximum upto 12 pages.

Click on the following links to submit the Manuscripts and read the guidelines.

Springer Author's Guidelines
EasyChair Submission

Paper Template

Selected and extended versions of research papers will be forwarded for publication as a Special Issue in Scopus and SCI/SCIE indexed Journals of repute. 

Special Issue

1: "Data-Driven Approach for Bio-medical and Healthcare" for International Journal of Business Intelligence and Data Mining (Scopus Indexed) (Last date: 30 Nov 2021)

2: Computers Materials & Continua (SCI Indexed, IF=4.89, open-access) Special Issue on "Advanced signal acquisition and processing for Internet of Medical Things" (Last date: 30 June 2021)

3: "Machine Learning and Computational Intelligence for Green Computing" to Journal of Smart Environments and Green Computing (JSEGC). (peer-reviewed, open-access) (No Publication Fees)

 

SPEAKERS

Prof. Witold Pedrycz

University of Alberta, Edmonton, Canada

Prof. P. N. Suganthan
 

Nanyang Technological University, Singapore

Prof. Kai-Lung Hua
 

National Taiwan University of Science and Technology, Taiwan

Dr. Mahardhika Pratama
 

Nanyang Technological University, Singapore

Prof. P. Nagabhushan
 

IIIT Allahabad, India

Dr. Ram Prasad K
 

VisionCorg, India

Dr. Amitava Das

Wipro AI Lab, Bangalore, India

 

TO ATTEND THE CONFERENCE

The NIT Arunachal Pradesh is temporarily Campus in Yupia hired from the state government of Arunachal Pradesh. Yupia is around 18 km from Itanagar, the capital of Arunachal Pradesh, and is about 10 km from Naharlagun, which is the twin capital town. The place has a healthy climate with moderate temperature ranging from 13°C to 27°C with an annual mean rainfall of 365 mm. The permanent campus of NIT AP is under construction at Jote, Papum Pare District, Arunachal Pradesh.

Travel Guide

Rail Link: The nearest railway station is Naharlagun, which is around 3 km from the present campus at Yupia. The other nearest railway station is at Harmuti which is 15 km away from the present campus and Guwahati which is around 330 km away. The journey from Guwahati to Harmuti or Naharlagun takes about 6 hours. Taxi for Yupia and share auto service are also available at Naharlagun City or Naharlagun Railway Station as well as Harmuti Railway station. 

Air Link: The nearest Airport is Lilabari (North Lakhimpur) in Assam, which is around 50 km from the institute at Yupia. The flight services for Lilabari Airport is available every day from Netaji Subhash Chandra Bose International Airport, Kolkata (CCU). Lokpriya Gopinath Bordoloi International Airport, Guwahati (GAU) is well connected to major cities. Plan a flight trip from your nearest city to Guwahati Airport (GAU). After reaching Lilabari/ Guwahati Airport book a Cab/Taxi to reach Yupia. Also, the helicopter service from Guwahati to Naharlagun is daily available except on Sunday.


Road Link: Naharlagun is at a distance of 370 km from Guwahati. Day and Night Taxi/bus services are available from Guwahati to Naharlagun.

 

April 1, 2021, April 30, 2021, May 15, 2021

Paper Submission Due (Final)

May 15, 2021

Notification of Acceptance (1st round)

June 15, 2021

Notification of Acceptance (2nd round)

June 20, 2021

Camera-Ready Paper Due

June 20, 2021

Registration Due

TIMELINE

 

ACADEMIC/TECHNICAL
COLLABORATORS

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CONTACT

US

Tel. +91-9485230593, 

      +91-9436271052,

          +91-9999778726     

Email:  misp@nitap.ac.in

deepakjnu85@gmail.com

VISIT

US

National Institute of Technology Arunachal Pradesh

Yupia, Dist : Papum Pare, Arunachal Pradesh, INDIA- 791112

Contact No. : +91 360-2284801

Thanks for submitting!

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