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About

PMEC

Parala Maharaja Engineering College (P.M.E.C), Berhampur came into existence in the year 2009 on April 26th, as a constituent Government Engineering College of Biju Patnaik University of Technology (BPUT), Odisha, India with an area of nearly 80 acres. Now this college acts as an Government Autonomous college affiliated to BPUT, Odisha from year 2021. This college is one of the premier technical institute in the state and is funded by the Government of Odisha. It has 8 B.Tech programmes and 5 M.Tech programmes with 10 departments. Also, now it has a Nodal Center of Research under BPUT to conduct Ph.D. programmes. The main objective of the institution is to produce quality technocrats in various streams . 

Government of Odisha has recognized this institution as a leading institution of repute and has a plan to develop it as a centre of excellence under plan funding. At present, the campus consists of institutional academic block, workshop block, labs, hostels, playgrounds, bank, canteen, central library (under const.), etc. As the architectural plan suggests, three more academic blocks, halls of residence, staff quarters, world class auditoria, parks and playgrounds will be developed in subsequent phases of construction. The silk City-Berhampur is located on the eastern coast-line of Odisha. It is one of the oldest cities of the state famous for its silk works, temples and culture. The city which is declared as a municipal corporation is well-connected by roads and rails to all parts of India.

Placement

Partners

Dr. Kanchan Kumari

HOD Automobile Engineering

Dr. Himadri Sahu

Head of the Department (Chemical Engineering)

Mr. Jagdish Mallick

HOD Civil Engineering

Mrs. Ranumayee Sing

HOD Computer Science and Engineering

Dr. Bhagabat Panda

Hod Electrical Engineering

Mr. Nawal Topno

HOD Electronics and Telecommunication Engineering

MRS. Anukampa Chau Pattnaik

HOD Mechanical Engineering

Dr. Chitrasen Samantra

HOD Production Engineering

Dr. Satrujit Mishra

HOD Basic Sciences

Dr. Manisha Chhotray

HOD Humanities and Social Sciences

In the last one or two decades, adaptive signal decomposition techniques have gained popularity for their broad applicability to almost all fields of science and technology. Empirical mode decomposition has been proposed to decompose the signal into amplitude-frequency modulated components (basis functions). Several methods have been proposed, followed by empirical mode decomposition for adaptive decomposition and to obtain improved signal representation. Empirical wavelet transform (EWT), Fourier-Bessel series expansion-based EWT (FBSE-EWT), iterative filtering, variational mode decomposition are a few popular techniques among adaptive decomposition techniques. Recent advancements in sensor technology make it easier to acquire signals from multiple sources simultaneously, which demands multivariate/multi-channel signal decomposition methods. The univariate iterative filtering has been extended for processing multichannel signals, which will be discussed in this talk. Also, developed intelligent systems based on multivariate iterative filtering and machine learning (ML) for brain-computer interface (BCI) and schizophrenia detection from multichannel electroencephalogram (EEG) signals will be presented. The obtained results show the effectiveness of the discussed multivariate/multi-channel adaptive signal decomposition techniques.
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International Conference on Applications of Mathematical and OR Models for Sustainable Viksit Bharat Conference
Date : 21st & 22nd February 2025

Organized by

Dept. of Mathematics, Parala Maharaja Engg. College, Berhampur, Odisha, India

&

Operational Research Society of India (ORSI) Bhubaneswar, Odisha Chapter