Information
- Designation : Assistant Professor
- Email : triptigoel@ece.nits.ac.in
- Phone : 9541345413
Key Notes
- Conference: International - 31 , National - 1
- Journals: 63
- Conferences: 35
- Book Chapters: 7
- Patents: 3
- PhD: Guided: 8
- Post Graduates: Guided: 6
- Under Graduates: Guided: 1
105
PUBLICATIONS8
DOCTORAL STUDENTS3
PATENTS2
PROJECTSIntroduction [Biosketch]
- Tripti Goel obtained her Bachelor of Engineering (Hons) from Maharishi Dayanand University in 2004. She obtained her MTech in 2008 from Chottu 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 Auguat 2005. After completing her M. Tech. She joined Guru Premsukh Memorial College of Engg. as lecturer in 2009 and became an 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 DUGC, DPGC 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.
Areas of Interest
- Medical Image Processing
- Machine learning
- Deep Learning
- Pattern Recognition
- Digital Signal Processing
- Soft Computing
- Neuroimaging
| Institution | Year | Degree |
|---|---|---|
| BPS Mahilla Vishwavidyalaya, Haryana | Ph. D. | |
| Chottu Ram State College of Engg., Haryana | M. E. | |
| Maharishi Dayanand University, Haryana | B. E. |
Teaching Experience
NIT, Silchar
NIT, Delhi
GPMCE, Delhi
Industrial/Research Experience
National Brain Research Center
R. Sharma, T. Goel, M. Tanveer and M. Al-Dhaifallah, “Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine”, IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 9, Issue 2, 1281 - 1291, January, 2025, Indexed in SCIE, Impact Factor: 4.5, Quartile: Q1
Raveendra Pilli, Tripti Goel, R. Murugan, “Unveiling Alzheimer’s disease through brain age estimation using multi-kernel regression network and magnetic resonance imaging, Computer Methods and Programs in Biomedicine”, Computer Methods and Programs in Biomedicine, Volume 261, Article Number: 107591, April, 2025, Indexed in SCIE, Impact Factor: 4.8, Quartile: Q1
Tripti Goel, Shradha Verma, M. Tanveer, P.N. Suganthan, “Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier, Information Fusion”, Information Fusion, Volume 118, Article Number: 102917, June, 2025, Indexed in SCIE, Impact Factor: 22.65, Quartile: Q1
S.A. Varaprasad, Tripti Goel, “Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis, Psychiatry Research: Neuroimaging”, Psychiatry Research: Neuroimaging, Volume 349, Article 108256, June, 2025, Indexed in SCIE, Impact Factor: 2.1, Quartile: Q3
T. Goel, R. Sharma, M. Tanveer, P. N. Suganthan, K. Maji and R. Pilli, “Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier”, IEEE Journal of Biomedical and Health Informatics, Volume 29, Issue 6, 3833 - 3841, June, 2025, Indexed in SCIE, Impact Factor: 4.7, Quartile: Q1
Raveendra Pilli, Tripti Goel, R. Murugan, “Hybrid feature fusion and randomized regression network for brain age prediction using magnetic resonance imaging: Analyzing age-related cortical structure variations in healthy adults”, Biomedical Signal Processing and Control, Volume 110, 108255, December, 2025, Indexed in SCIE, Impact Factor: 7.32, Quartile: Q1
N. Jagan Mohan, R. Murugan, Tripti Goel, Parthapratim Roy, “A real-time screening system for diabetic retinopathy grading using a novel multi-scale feature extraction through retinal fundus images, Biomedical Signal Processing and Control”, Biomedical Signal Processing and Control., Volume 112, Article Number: 108548, December, 2025, Indexed in SCIE, Impact Factor: 4.9, Quartile: Q2
K. Backiavathi, T. Goel, R. Murugan, “Deep Learning with Self-Attention Mechanisms for Parkinson’s Disease Classification Through MRI images”, In Proceedings IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT 2025), March 27th 2025 - March 8th 2025, 2025, VIT Bhopal University, Kotri Kalan, Sehore, Madhya Pradesh, India, IEEE Conference Publishing Services (CPS), pp. 112–117, Indexed in Others, Ranking IEEE Indexed
N Jagan Mohan, R Murugan, Trpti Goel, “DR-FL: A Novel Diabetic Retinopathy Grading with Federated Learning Using Fundus Images”, In Proceedings The North-Eastern Research Conclave (NERC 2022), The North-Eastern Research Conclave, Springer, pp 355–366, 2023, Indexed in Others, Ranking Reputed / Indexed Conference
D.N. Kiran Pandiri, R. Murugan, Tripti Goel, “Whale-Optimized Convolutional Neural Network for Potato Fungal Pathogens Disease Classification”, InDr. Seyedali Mirjalili, Handbook of Whale Optimization Algorithm, January, 2024, Pages 477–485, Academic Press, Indexed in Scopus
Identification of the early stage of Alzheimer’s disease using clinical assessment, Structural MRI and Resting-State fMRI
Debraj Purkayastha, Manzil Hoque, Golla Uday sai theja, Medikonda Aravind Ramoji
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2023-2024
Department of Electronics and Communication, NIT Silchar: Classification of Alzheimer’s Disease using integration of fMRI and sMRI scans
Ms. Ongnam Lanthoi Devi
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2023-2024
Department of Electronics and Communication, NIT Silchar: Brain Tumor Detection using Susceptibility Weighted Imaging
Mr. Kshitiz Anand
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2022-2023
Department of Electronics and Communication, NIT Silchar: Classification of Alzheimer’s Disease using Ensemble Deep Learning
Mr. Krishanu
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2021-2022
Department of Electronics and Communication, NIT Silchar Association of abnormalities in MRI and fMRI in Schizophrenia patients
Ms. Supriya Patro
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2020-2021
Department of Electronics and Communication, NIT Silchar) “Multi-modality image fusion”.
Mr. Shubham Dwivedi
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2019-2020
Department of Electronics and Communication, NIT Silchar). “DF relaying using SWIPT”.
Mr. Avinandam Das
Completed :
Supervisor : Dr. Tripti Goel
Academic Year : 2018-2019
Neural Disorder, Neuroimaging, Deep Learning
Rahul Sharma
Supervisor : TRIPTI GOEL
Academic Year : 2019-2020
Retinal Images, Deep Learning
N Jagan Mohan
Completed :
Co Supervisor : TRIPTI GOEL
Academic Year : 2018-2019
Schizophrenia Disease, Neuroimaging, Deep Learning
SIRIGINEEDI A VARAPRASAD
Completed :
Supervisor : TRIPTI GOEL
Academic Year : 2021-2022
Neural Disorder, Neuroimaging, Deep Learning
Raveendra Pilli
Completed :
Supervisor : TRIPTI GOEL
Susceptibility Weighted Imaging, Phase Imaging, Brain Tumor
SHRADHA VERMA
Supervisor : TRIPTI GOEL
Academic Year : 2020-2021
Agriculture
Ujwal Vishnupant Ramekar
Ongoing
Supervisor : TRIPTI GOEL
Academic Year : 2021-2022
Parkinson Disease
K. Backiavathi
Ongoing
Supervisor : TRIPTI GOEL
Academic Year : 2021-2022
Classification of Emphysema disease
Ragipati Karthik
Ongoing
Co Supervisor : TRIPTI GOEL
Awards And Honours
- INSA Visting Scientist for Academic Year 2023-24.
- "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.
- Reviewer of Journal IET Biometrics.
- Received honors degree in M. Tech. from CRSCE, Haryana."
System for the early detection of Alzheimer’s disease
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
German
Patent
Registration ID, IPC: G16 50/20, no. 202023100083.5
System for the early detection of Alzheimer’s disease, (**GRANTED**)
A Smart Agriculture system for farm environment monitoring and crop selection using IoT and Machine Learning
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Germany
Patent
Registration ID, IPC: G06Q50/02, no. 202023100001
A Smart Agriculture system for farm environment monitoring and crop selection using IoT and Machine Learning, (**GRANTED**)
A PORTABLE OPHTHALMIC APPARATUS FOR SCREENING DIABETIC RETINOPATHY
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
India
Patent
Registration ID, 495538
A PORTABLE OPHTHALMIC APPARATUS FOR SCREENING DIABETIC RETINOPATHY, (**GRANTED**)
Sl.No: 1
Title Of Research Project: " Development of a deep learning-based risk prediction and diagnostic model for Alzheimer’s disease using the integration of functional and structural MRI scans "
Sponsored By: SERB or ANRF
Overall Budget: Rs 3000000
Duration: Feb 06, 2023 - Feb 06, 2026 (3 years)
Status: Ongoing
Principal Investigator: Dr.Tripti Goel
Sl.No: 2
Title Of Research Project: " ALZ-RiskNet: A Multimodal Deep Learning Toolbox for Risk Prediction of Alzheimer's using Longitudinal Neuroimaging, Blood, Genetics, and Cognitive Assessment Data "
Sponsored By: SERB or ANRF
Overall Budget: Rs 8000000
Duration: Jan 31, 2026 - Jan 31, 2029 (3 years)
Status: Ongoing
Principal Investigator: Dr. Tripti Goel
Co Principal Investigator: Dr. Chandrajit Choudhury, Assistant Professor, NIT Silchar
| Sl.No | Award/Recognition/Achievement | Year | Approved agency |
|---|---|---|---|
| 1 | INSA Visiting Scientist | 2023 | INSA |
