Dr. Alka Barhatte

Be STRONG, but not RUDE.

Be KIND, but not WEAK.

Be HUMBLE, but not TIMEID.

Be PROUD, but not ARROGANT.

An investment in knowledge always pays the best interest

About Me

I, Dr. Alka Surendra Barhatte, a graduate in Electronics Engineering from Dr. Babasaheb Ambedkar Marathawada University, Aurangabad in 1978, post-graduate in Electronics-VLSI Design from Bharati Vidyapeeth Deemed University, Pune, India in 2006 and Doctorate in Electronics and Telecommunication by Savitribai Phule Pune University in January 2020.

Currently, working with School of Electronics and Communication Engineering, MIT World Peace University, Pune as Assistant Professor. I have 16 years of teaching experience and eight years of research experience in the field of soft computing, Artificial Neural Network and biomedical signal processing.

I have guided many undergraduate and postgraduate students for their project and dissertation respectively.

I have contributed to the institute by designing many undergraduate and postgraduate subject syllabi and developing the laboratories for MIT World Peace University as well as Savitribai Phule Pune University. I have been working as coordinator and member for various institutional committees.

I have published many research papers in the international journals and conferences. I have worked as reviewer and program committee member for the IEEE International Conference.

I am a Fellow member of the Institution of Electronics and Telecommunication Engineers (IETE) society, Life Member of the Indian Society of Technical Education (ISTE) society and Fellow member of Society of Automotive Engineers (SAE).

Area of Interest: Signal Processing, Soft Computing, Machine Learning, Automotive Electronics, Internet of Things
Technical Skills: Data Structures, C, C++, Java, Python,MATLAB, Simulink,Multisim,Embedded C

Experience

Assistant Professor

Organization: Dr. Vishwanath Karad MIT World Peace University, Pune
Department: School of Electronics Communication
Period: July 2003 to till date
Total Experience: 17 Yrs
Subjects: Data Structures and Algorithms, Object Oriented Programming, Computer Organization, Signals & Systems,Artificial Neural Network, Embedded System Design,Advanced Automotive Electronics,Automotive Electronics

Faculty & Instructor

Institute: Synergy Infotech(C-DAC’s Authorized training Center)
Period: Jan. 1999 to Jan. 2000
Total Experience: 1 Yr

Educational Qualification

January 2020

PhD (Electronics and Telecommunication)

Savitribai Phule Pune University

October 2006

ME (Electronics-VLSI Design)

Bharati Vidyapeeth University, Pune

July 1998

BE (Electronics)

Dr. Babasaheb Ambedkar Marathwada University, Aurangabad

Publications

2015

A multiclass cardiac events classifier using clustering and modified adaptive neuro-fuzzy inference system

A. Barhatte, R. Ghongade, “A multiclass cardiac events classifier using clustering and modified adaptive neuro-fuzzy inference system,” 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Pg. 90-95, DOI: 10.1109/ICRCICN.2015.7434216 (Citation-02)

2015

QRS complex detection and arrhythmia classification using SVM

A.S. Barhatte, R. Ghongade, A.S. Thakare, “QRS complex detection and arrhythmia classification using SVM,” 2015 IEEE conference on Communication, Control and Intelligent Systems (CCIS), Pg. 239-243, DOI: 10.1109/CCIntelS.2015.7437915 (Citation-07)

2018

Discrimination of Arrhythmia Using a Smartphone

Madhura R Mohidekar, Alka Barhatte, “Discrimination of Arrhythmia Using a Smartphone” , 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS), Pg. 1684-1687, IEEEXplore, Electronic ISBN: 978-1-5386-2842-3, DVD ISBN: 978-1-5386-2841-6, DOI: 10.1109 /ICCONS. 2018. 8663237

2017

Heart Disease Classification Using Convolutional Neural Network

N. Gawande, A. Barhatte, “Heart Disease Classification Using Convolutional Neural Network,” 2017 2nd International Conference on Communication and Electronics Systems (ICCES), Pg. 17-20, IEEEXplore, 22 March 2018, DOI: 10.1109/CESYS.2017.8321264 (Citation-04)

2017

Retina based biometric identification using SURF and ORB feature descriptors

S. Haware, A. Barhatte, “Retina based biometric identification using SURF and ORB feature descriptors,” 2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS), IEEEXplore, ISBN: 978-1-5386-1716-8. (Citation- 03)

2019

Cardiac Events Detection using Curvelet Transform

Cardiac Events Detection using Curvelet Transform1. A. Barhatte, M. Dale and R. Ghongade, “Cardiac Events Detection using Curvelet Transform,” Sādhanā (2019) 44: 47. https://doi.org/10.1007/s12046-018-1046-0 (Citation-01)

2014

R-peak detection using Wavelet-Energy Histogram and Adaptive Thresholding

A. Barhatte and R. Ghongade, “R-peak detection using Wavelet-Energy Histogram and Adaptive Thresholding,” International Journal of Emerging Trends in Electrical and Electronics (IJETEE – ISSN: 2320-9569) Vol. 10, Issue. 10, Oct. 2014(Citation-02)

2014

Medical Image Fusion Based on Wavelet Transform and Fast Curvelet Transform

J. Joseph, A. Barhatte, “Medical Image Fusion Based on Wavelet Transform and Fast Curvelet Transform,” International Journal of Design Engineering Research ( IJEDR- ISSN: 2321-9939), Vol. 2, Issue 1, March 2014 (Citation-08)

2016

Analysis of ST Segment in ECG for Detection of Ischemia

4. A. S. Barhatte, Dr. Rajesh Ghongade, Sachin L. Mane, “Analysis of ST Segment in ECG for Detection of Ischemia,” 3rd International Conference on Electrical, Electronics, Engineering Trends, Communication, Optimization and Sciences (EEECOS)-2016, Pg. 594-598

2017

Arrhythmia Classification Using Neuro-Fuzzy Approach

S. Tandale, A. Barhatte, R. Ghongade, M. Dale, “Arrhythmia Classification Using Neuro-Fuzzy Approach,” 2017 3rdInternational Conference on Advances in Computing, Communication & Automation (ICACCA), IEEEXplore, 23 April 2018, DOI: 10.1109 / ICACCAF .2017. 8344712 (Citation-01)

Citation links

scholar.google.com/citations?hl=en&authuser=2&user=Kb-PIKMAAAAJ, www.scopus.com/authid/detail.uri?authorId=57189094724, orcid.org/0000-0001-6255-1834, publons.com/researcher/2200246/alka-barhatte/

Research Work

“Cardiac Events Detection and Pattern Classification using Neuro Fuzzy Approach”

The research work is based on the analysis cardiac signal that is Electrocardiogram (ECG) for automatic recognition and classification of ten different types of Cardiac Arrhythmias. The accurate classification of ECG pattern and variations in heart rate for taking appropriate survival measure is required. ECG signal instruments are unable to characterize the signals without a doctor’s complete evaluation and diagnosis. Thus computer-based analysis will prove useful when cardiologists are not available. Recently the soft computing techniques used are computationally efficient and have humanlike expertise. The fuzzy systems are capable to infer information from imprecise and incomplete data. So such systems can be helpful for pattern recognition of ECG with different morphology. This research is important because it can be used by other health care professionals including physicians, nurses, therapists and technicians to bring together knowledge from technical sources to solve a clinical problem. The proposed system could interpret the heart condition at early stages and could detect cardiac diseases with a high level of accuracy. The two novel algorithms are proposed in this research. One of the algorithms is for cardiac detection using curvelet energy that is used to locate the R-peak in the ECG signal. The second proposed algorithm is for the pattern classification of Arrhythmia and is based on the Fuzzy-ART CANFIS model of classifier.

National-International Events Organized

Member of Organizing Team for IEEE International Conference on Internet of Things and Applications (IOTA 2016)

Member of Organizing team for IEEE International Workshop on Internet of Things and TV White Spaces (WIOT' 2017)

Member of Organizing team for National Workshop on GPU Programming using CUDA

Member of Organizing team for IEEE International Conference on Innovating Technology for Humanity (IEEE PuneCon 2019)

Member of Organizing team for National Conference on Signal Image Technology and Applied Communication Systems (SITACS-2013)

National Study Tour

NST helps students to develop their personalities through Learning beyond Syllabus, use of the theoretical concepts in real life working, knowing culture of different states, exchanging the ideas, team building and so on...

Organized various Industrial Visits at Radio Astronomy Center - Ooty, Indian Space Research Organization - Banglore, Visvesvaraya Technology Museum - Banglore, Textile Industries - Silvasa, Gaint Meterwave Radio Telescope - Narayangaon and so on...