Dr. TRIPTI GOEL

ee

Assistant Professor

National Institute of Technology (NIT) Silchar

Department of Electronics and Communications Engineering

Silchar, Assam, 788010, India

Email: triptigoel@ece.nits.ac.in

Phone: +91-9541345413


Date of Joining: 27/06/2018

Academic Experience: 7+ years

Personal Webpage: http://ec.nits.ac.in/triptigoel/


ACADEMIC QUALIFICATIONS

  • Ph.D.:     BPS Mahilla Vishwavidyalaya, Haryana, India,2017
  • M.Tech.: Chottu Ram State College of Engg.,Haryana,India, 2008
  • B.Tech.Maharishi Dayanand University, Haryana,India, 2004

EXPERIENCE

  • June, 2018- Till Date: Assistant Professor, National Institute of Technology (NIT) Silchar, Assam, 788010, India.
  • Feb 2018-June 2018Research Scientist, National Brain Research Center, Gurugram , India
  • July 2015-Feb 2018: Assistant Professor, National Institute of Technology (NIT) Delhi, India
  • January 2009- November 2014: Senior Lecturer, Guru Premsukh Memorial College of Engineering, Delhi

RESEARCH INTERESTS AND SPECIALIZATION

  • Medical Image Processing
  • Neuroimaging
  • Machine Learning/Deep Learning
  • Optimization Problems
  • Pattern Recognition
  • Digital Signal Processing

BIOGRAPHICAL SKETCH

Tripti Goel obtained her Bachelor of Engineering (Hons) from Maharishi Dayanand University in 2004. She obtained her M.Tech in 2008 from Chhotu Ram State College of Engg., Haryana and PhD in 2017 from BPS Mahilla Vishwavidyalaya, Haryana. She joined Bhagwan Mahaveer Institute of Engineering and Technology, Haryana as Lecturer in August 2005. After completing her M. Tech., she joined Guru Premsukh Memorial College of Engg. as lecturer in 2009 and became Senior Lecturer in 2012. She joined at NIT, Delhi as an Assistant Professor in July, 2015. During this period, she has been active member of various committees like DUPC, DPPC etc. After that she Joined National Brain Research Center, Gurugram as Research Scientist in February, 2018. She joined NIT, Silchar as an Assistant Professor in June 2018. Her research area includes medical image processing, deep learning, machine learning, neuroimaging, soft computing etc.


PUBLICATIONS (JOURNALS/CONFERENCES)

International Journals

  1. Shubham Dwivedi, Tripti Goel, M. Tanveer, R Murugan, Rahul Sharma, “Multi-modal fusion based deep learning network for effective diagnosis of Alzheimer’s disease”, IEEE MultiMedia, 2021.(Accepted for publication on 06/11/2021).
  2. N Jagan Mohan, R Murugan, Tripti Goel, Parthapratim Roy, “Fast and Robust Exudate Detection in Retinal Fundus Images using Extreme Learning Machine Auto Encoders and Modified KAZE features”, Journal of Digital Imaging, 2021. (Accepted for publication on 03/11/2021).
  3. Rahul Sharma, Tripti Goel, M Tanveer; R Murugan, “FDN-ADNet: Fuzzy LTSVM based Deep learning Network for prognosis of the Alzheimer’s Disease using the sagittal plane of MRI scans”, Applied Soft Computing Journal. Accepted on 31/10/2021.
  4. N Jagan Mohan, R Murugan, Tripti Goel, Seyedali Mirjalili, Parthapratim Roy, “A Novel Four-Step Feature Selection Technique for Diabetic Retinopathy Grading”, Physical and Engineering Sciences in Medicine,2021. DOI :10.1007/s13246-021-01073-4
  5. R Murugan, Tripti Goel, Seyedali Mirjalili, Depa Kumar Chakrabartty, “WOANet: Whale Optimized Deep Neural Network for the Classification of COVID-19 from Radiography Images” Biocybernetics and Biomedical Engineering, 2021. https://doi.org/10.1016/j.bbe.2021.10.004
  6. Ananya Bhattacharjee, R Murugan, Swanirbhar Majumder, Tripti Goel, “Neural network-based computer-aided lung cancer detection”, Research on Biomedical Engineering, 2021. https://doi.org/10.1007/s42600-021-00173-0
  7. Rahul Sharma, Tripti Goel, M. Tanveer, Shubham Dwivedi, R Murugan, “FAF-DRVFL: Fuzzy Activation function based Deep Random Vector Functional Links Network for Early Diagnosis of Alzheimer Disease”, Applied Soft Computing Journal (Accepted on 29/03/2021)
  8. D N Kiran Pandiri, R Murugan, Tripti Goel, March 18, 2021, “Indian Regions Soil Image Database (IRSID): A dataset for classification of Indian soil types “, IEEE Dataport, doi: https://dx.doi.org/10.21227/2zz3-f173.
  9. R Murugan, Tripti Goel, “E-DiCoNet: Extreme Learning Machine based classifier for Diagnosis of COVID-19 using Deep Convolutional Network”, Journal of Ambient Intelligence and Humanized Computing. (Accepted on 08/11/2020)
  10. Tripti Goel, R Murugan, Seyedali Mirjalili, Depa Kumar Chakrabartty, “Automatic Screening of COVID-19 using an Optimized Generative Adversarial Network”, Springer Cognitive Computation (Accepted for publication on 21/10/2020)
  11. Tripti Goel, R Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty, “OptCoNet: An Optimized Convolutional Neural Network for an Automatic Diagnosis of COVID-19″, Applied Intelligence (Accepted for publication on 20/08/2020).
  12. Ankita Sharma, Deepika Shukla, Tripti Goel, Pravat Kumar Mandal, BHARAT: An Integrated Big Data Analytic Model for Early Diagnostic Biomarker of Alzheimer’s Disease, Frontiers in Neurology, vol. 10 9. 8 Feb. 2019, doi:10.3389/fneur.2019.00009
  13. N. Jagan Mohan, R. Murugan, Tripti Goel. (2020), “Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images”, International Journal of Image Processing and Pattern Recognition, Vol.6(1): pp. 14–26.
  14. Goel, Tripti, and R. Murugan. (2020), “Deep Convolutional-Optimized Kernel Extreme Learning Machine Based Classifier for Face Recognition.” Computers & Electrical Engineering 85 106640.https://doi.org/10.1016/j.compeleceng.2020.106640
  15. Goel T, Nehra V and Vishwakarma V P, An Adaptive Non-symmetric Fuzzy Activation Function based Extreme Learning Machines for Face Recognition. Arab J Sci Eng, vol. 42, no. 2, pp. 805-816, 2017.
  16. Goel T, Nehra V and Vishwakarma V P, An Efficient Classification based on Genetically Optimized Hybrid PCA-Kernel ELM Learning. International Journal of Applied Pattern Recognition, vol. 3, no. 3, pp. 241-258, 2016.
  17. Goel T, Nehra V and Vishwakarma V P, Pose Normalization based on Kernel ELM Regression for Face Recognition. International Journal of Image, Graphics and Signal Processing (IJIGSP), vol.9, no.5, pp. 68-75, 2017. DOI: 10.5815/ijigsp.2017.05.07.
  18. Goel T, Nehra V and Vishwakarma V P, Comparative Analysis of various Illumination Normalization Techniques for Face Recognition. International Journal of Computer Applications, vol. 28, no. 9, pp. 1-7, 2011.
  19. Goel T, Nehra V and Vishwakarma V P, An Efficient Hybrid DWT- Fuzzy DCT Based Illumination Normalization for Face Recognition. Multimedia Tools and Applications, Springer, Under Minor Review.

National Journals

  1. Dataset: D N Kiran Pandiri, R Murugan, Tripti Goel, March 18, 2021, “Indian Regions Soil Image Database (IRSID): A dataset for classification of Indian soil types “, IEEE Dataport, doi: https://dx.doi.org/10.21227/2zz3-f173.

International Conferences

  1. Sayandeep Roy, Yash Singh, Utsab Biswas, Devendra Singh Gurjar and Tripti Goel, “Machine Learning in Smart Transportation Systems for Mode Detection” Accepted in INDICON-2021
  2. Rahul Sharma, Tripti Goel, R Murugan, “Prediction of Alzheimer’s Disease using Machine Learning Algorithm” International Conference on Computational Intelligence & Sustainable Technologies (ICoCIST-2021) Presented on 29 October, 2021
  3. Sonal Yadav, Sanjay Das, R Murugan, Tripti Goel, “RD-Light-Net: Light Weight Network for Retinal Detachment Classification Through Fundus Images” Sixth IEEE International Conference on Image Information Processing (ICIIP -2021). (Accepted on 26/10/2021).
  4. S. Dhanunjay Reddy, R Murugan, Arnab Nandi and Tripti Goel, “Arrhythmia detection and classification using two stage median filter through dynamic features of ECG signals”, International Conference on Communication, Devices and Computing (Accepted on 13/07/2021).
  5. Mohan, N. Jagan, R. Murugan, Tripti Goel, and Parthapratim Roy. “Exudate Localization in Retinal Fundus Images Using Modified Speeded Up Robust Features Algorithm.” In 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), pp. 367-371. IEEE, 2021.
  6. Jagan Mohan N., Murugan R., Goel T., Roy P. (2020) An Improved Accuracy Rate in Microaneurysms Detection in Retinal Fundus Images Using Non-local Mean Filter. In: Bhattacharjee A., Borgohain S., Soni B., Verma G., Gao XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_15
  7. Subham Chakraborty, R Murugan, TriptiGoel, “Classification of Tea Leaf Diseases using Convolutional Neural Network” 26th annual International Conference on Advanced Computing and Communications (Aceepted on 17/10/2020).
  8. Jagan Mohan, R Murugan, TriptiGoel, P P Roy “An Optic Disc Segmentation in Fundus Images Using Operator Splitting Approach” IEEE International Conference on Advanced Communication Technologies and Signal Processing (Aceepted on 21/10/2020).
  9. Rahul Sharma, Tripti Goel, R Murugan, “An Optimized Deep Learning Network for Prognosis of Alzheimer’s Disease Using Structural Magnetic Resonance Imaging”, IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES2020) LANGKAWI, MALAYSIA (Accepted on 18/11/2020).
  10. Jagan Mohan, R Murugan, Tripti Goel,”Exudate Localization in Retinal Fundus Images Using Modified Speeded Up Robust Features Algorithm”, IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES2020) LANGKAWI, MALAYSIA (Accepted on 20/11/2020).
  11. Jagan Mohan, R.Murugan, Tripti Goel, (2019), Investigations of diabetic retinopathy algorithms in retinal fundus images, proceedings of International Conference In Recent Trends on Electronics & Computer Science, NIT Silchar.
  12. Jagan Mohan N., Murugan R., Goel T., Roy P. (2020), “An Improved Accuracy Rate in Microaneurysms Detection in Retinal Fundus Images Using Non-local Mean Filter. In: Bhattacharjee A., Borgohain S., Soni B., Verma G., Gao XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_15
  13. Goel, Tripti, and R. Murugan. “A non-iterative fuzzy neural classifier for face recognition.” Eleventh International Conference on Graphics and Image Processing (ICGIP 2019). Vol. 11373. International Society for Optics and Photonics, 2020. https://doi.org/10.1117/12.2557232
  14. Tripti Goel, Vijay Nehra and Virendra P.Vishwakarma . : Illumination Normalization using Down-Scaling of Low-Frequency DCT Coefficients in DWT Domain for Face Recognition. Published in: 2013 Sixth International Conference on Contemporary Computing (IC3), vol. 3, 2013, pp. 295-300.
  15. Tripti Goel, Vijay Nehra and Virendra P.Vishwakarma .: Rescaling of Low Frequency DCT Coefficients with Kernel PCA for Illumination Invariant Face Recognition” Published in: Advance Computing Conference (IACC), 2013 IEEE International Date of Conference: 22-23 Feb. 2013, pp. 1177-1182.
  16. Tripti Goel: Polarization Division multiplexing using Photonic Crystal Fiber. International Conference WECON on 18-19 October, 2008.

National Conferences

  1. Tripti Goel, Vijay Nehra and Virendra P.Vishwakarma . : Illumination Normalization Using Multiscale Approach and Nonlinear Classifier for Face Recognition. National Conference on Machine Intelligence and Research Advancement, Date of Conference: 19th – 20th March, 2015, at BPSMV, Khanpur Kalan,Haryana.
  2. Tripti Goel: Polarization Mode Dispersion in High Speed Optical Communication System. in National Conference NCTET on 26-26 May, 2008.
  3. Tripti Goel: Polarization Mode dispersion in polarization Division Multiplexed Systems by Using Polarization Maintaining Photonic Crystal Fibers. in National Conference NCMI on 22-23 August, 2008.

 BOOKS/CHAPTERS

  1. N Jagan Mohan, R Murugan, Tripti Goel, “Machine learning algorithms for hypertensive retinopathy detection through retinal fundus images” in Research Innovations and Trends on Computer Vision and Recognition Systems, CRC press (Accepted)
  2. Vijaya Yaduvanshi, R Murugan, Tripti Goel, (2020)“An Automatic Classification methods in Oral Cancer Detection, Healthcare, Springer (Accepted) 
  3. Shubham Dwivedi, Devendra Singh Gurjar, Prabina Pattanayak, and Tripti Goel, “V2X Communications: Recent Advancements and Performance Analysis” 5G and Beyond Wireless Systems, Springer. (Accepted)

PROFESSIONAL MEMBERSHIPS

  • Fellow, IEEE
  • Signal Processing Society, IEEE
  • Drishti CPS Foundation, IIT Indore

AWARDS & RECOGNITIONS

  1. Received best paper award in 2nd National Conference on Machine Intelligence and Research Advancement, Date of Conference: 19th – 20th March, 2015, at BPSMV, Khanpur Kalan, Haryana.
  2. Received honors degree in M. Tech. from CRSCE, Haryana

ADMINISTRATIVE RESPONSIBILITIES

  • Associate Warden of Girls Hostel (GH-1)
  • Departmental Single Point of Contact-IIC-3.0
  •  Departmental B.Tech. Project Coordinator
  •  Lab in charge of Bio-Medical Imaging Lab
  •  Lab in Charge of Instrumentation and Measurement Lab
  •  Expert Member of DUPC Committee of CSE Department
  • Committee member of DUPC Committee
  • Committee member of departmental outreach activities

Ph.D. Scholars Guided

    Guiding (Full-Time)

  1. Mr. N. Jagan Mohan (Co-Guide)
  2. Mr. Rahul Sharma
  3. Ms. Shradha Verma
  4. Mr. Raveendra Pilli

Guiding (Part-Time)

  1. Mr. Ragipati Karthik
  2. Mr. S.S. Vara Prasad
  3. Mr. Ujwal Ramekar
  4. M. Baciavathi

M.Tech. Scholars Guided

  1. Mr. Shubham Dwivedi: (2019-21 Department of Electronics and Communication, NIT Silchar) “Multi-modality image fusion”.
  2. Mr. Avinandam Das(2018-2020 Department of Electronics and Communication, NIT Silchar). “DF relaying using SWIPT”.

Guiding

  1. Ms. Supriya Patro (2020-22 Department of Electronics and Communication, NIT Silchar) Association of abnormalities in MRI and fMRI in Scizophrenia patients
  2. Mr. Krishanu Maji (2021-23 Department of Electronics and Communication, NIT Silchar)

B.Tech. Projects

  1. Debraj Purkayastha, Manzil Hoque, Golla Uday sai theja, Medikonda Aravind Ramoji, “Identification of the early stage of Alzheimer’s disease using clinical assessment, Structural MRI and Resting-State fMRI”
  2. Deep Learning Approach to Identify Covid-19 Using CT Image.
  3. Credit Card Fraud Detection

Workshops Organized

  1. “Prototype/Process Design and Development” from 14th to 18th February 2022, organized by the IIC 4.o in association with the Department of Electronics and Communication Engineering & Department of Management Studies, NIT Silchar, Coordinator
  2. Machine Intelligence in Biomedical and Health Informatics-2020, from 20 August, 2020 to 24 August 2020 organized by the Department of Electronics and Communication Engineering, NIT Silchar
  3. Optimization and Intelligence in Engineering Applications (IEEE OIEA-2021) from 26/07/2021 to 30/07/2021organized by the Department of Electronics and Communication Engineering, NIT Silchar
  4. Computer Vision and Pattern Recognition using Machine Learning from 29 July, 2019 to 26 July, 2019 organized by the Department of Electronics and Communication Engineering, NIT Silchar