Education
University of Beira Interior
Postdoctoral Researcher at University of Beira Interior.
leading projects on biometric recognition at extreme ranges, collaborating with 6 international universities.
contributed to a fabric defect detection prototype funded by Portugal Recovery and Resilience Plan (PRR).
Postdoctoral Researcher at University of Beira Interior.
leading projects on biometric recognition at extreme ranges, collaborating with 6 international universities.
contributed to a fabric defect detection prototype funded by Portugal Recovery and Resilience Plan (PRR).
2022 - 2025
SRTM University
Ph.D. in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Research focused on machine learning and computer vision.
Ph.D. in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Research focused on machine learning and computer vision.
2017 - 2020
SRTM University
M.Phil in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Advanced research in data science and artificial intelligence.
M.Phil in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Advanced research in data science and artificial intelligence.
2015 - 2017
SRTM University
M.Sc in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Specialization in algorithms, machine learning, and deep learning.
M.Sc in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Specialization in algorithms, machine learning, and deep learning.
2012 - 2014
SRTM University
BCA in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Focus on programming, databases, and software development.
BCA in Computer Science, Swami Ramanand Teerth Marathwada University, Nanded, MH, India.
Focus on programming, databases, and software development.
2009 - 2011
Employment
Instituto de Telecomunicações
Researcher at Instituto de Telecomunicações Portugal.
Researcher at Instituto de Telecomunicações Portugal.
April 2025 - (current)
Covilhã, Portugal
Covilhã, Portugal
University of Beira Interior
Postdoctoral Researcher at University of Beira Interior.
Leading projects on biometric recognition at extreme ranges, collaborating with 6 international universities.
Contributed to a fabric defect detection prototype funded by Portugal Recovery and Resilience Plan (PRR).
Postdoctoral Researcher at University of Beira Interior.
Leading projects on biometric recognition at extreme ranges, collaborating with 6 international universities.
Contributed to a fabric defect detection prototype funded by Portugal Recovery and Resilience Plan (PRR).
Oct 2023 - (April 2025)
Covilhã, Portugal
Covilhã, Portugal
University of Beira Interior
Researcher at University of Beira Interior.
Developed NLP models for clinical trial document analysis.
Funded by FEDER, Fundo de Coesão e Fundo Social Europeu.
Researcher at University of Beira Interior.
Developed NLP models for clinical trial document analysis.
Funded by FEDER, Fundo de Coesão e Fundo Social Europeu.
Sep 2022 - Jun 2023
Covilhã, Portugal
Covilhã, Portugal
Calance
Senior Data Scientist Consultant at Calance.
Developed and implemented NLP models to extract structured information from clinical trial documents.
Senior Data Scientist Consultant at Calance.
Developed and implemented NLP models to extract structured information from clinical trial documents.
Mar 2022 - Mar 2023
Gurugram, India
Gurugram, India
NDS InfoServ
Data Scientist at NDS InfoServ.
Led AI integrations, including TensorFlow, PyTorch, and OCR for business process automation.
Developed OCR-based models for document classification and health claims processing.
Data Scientist at NDS InfoServ.
Led AI integrations, including TensorFlow, PyTorch, and OCR for business process automation.
Developed OCR-based models for document classification and health claims processing.
Mar 2019 - Feb 2022
Mumbai, India
Mumbai, India
SRTM University
Project Fellow at Swami Ramanand Teerth Marathwada University.
Worked on a crime hotspot detection project funded by the Maharashtra Government (INR 108,000).
Utilized GIS and machine learning for crime pattern visualization and predictive analysis.
Project Fellow at Swami Ramanand Teerth Marathwada University.
Worked on a crime hotspot detection project funded by the Maharashtra Government (INR 108,000).
Utilized GIS and machine learning for crime pattern visualization and predictive analysis.
Jun 2015 - Feb 2017
Nanded, India
Nanded, India
Publications
Human Re-ID Meets LVLMs: What can we expect?
We compare the results due to ChatGPT-4o, Gemini-2.0-Flash, Claude 3.5 Sonnet, and Qwen-VL-Max to a baseline ReID PersonViT model, using the well-known Market1501 dataset.
arXiv, 2025
Toward automated fabric defect detection: A survey of recent computer vision approaches
A survey of recent computer vision approaches.
Electronics, 2024
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
This study investigates the performance of the Laplacian-based Quantum Semi-Supervised Learning (QSSL) method across four benchmark datasets -- Iris, Wine, Breast Cancer Wisconsin, and Heart Disease.
Quantum Information Processing, 2024
A novel dataset for fabric defect detection: bridging gaps in anomaly detection
In this paper, we introduce a novel dataset comprising a diverse selection of fabrics and defects from a textile company based in Portugal.
Applied Sciences, 2024
Advancing Manufacturing Energy Efficiency: The Role of AI and Web-Based Tools
We demonstrate the system's efficacy using a dataset from a textile company, where our application successfully predicted the target variables with a high level of R-squared of 0.78, using the best regression model.
ESCI, 2024
Image-based human re-identification: Which covariates are actually (the most) important?
We announce the results of an analysis about the subject features that provide the largest variations in re-id performance.
Image and Vision Computing, 2024
Information retrieval: recent advances and beyond
We delve into the historical development of these models, analyze the key advancements and breakthroughs, and address the challenges and limitations faced by researchers and practitioners in the domain.
IEEE Access, 2023
WSRR: Weighted Rank-Relevance Sampling for Dense Text Retrieval
n this paper we present a new approach for dense text retrieval (termed WRRS: Weighted Rank-Relevance Sampling) that addresses the limitations of current negative sampling strategies.
International Conference on Information and Communication Technology for Intelligent Systemsn, 2023
Diagnosis of Covid-19 via patient breath data using artificial intelligence
This study aims to develop a point-of-care testing (POCT) system that can detect COVID-19 by detecting volatile organic compounds (VOCs) in a patient's exhaled breath using the Gradient Boosted Trees Learner Algorithm.
Emerging Science Journal, 2023
Augmentation of behavioral analysis framework for E-commerce customers using MLP-based ANN
The main objective is to hunt for classification of the customer’s behavior patterns. Artificial neural network (ANN) model was applied over customer’s dataset to forecast the customer’s purchasing patterns.
ICDSM, 2020
Data analytics implemented over E-commerce data to evaluate performance of supervised learning approaches in relation to customer behavior.
This study has made an attempt for the implementation of data analytics over the shared data set of Turkey-based e-commerce company.
Soft Computing for Problem Solving, 2019
Prediction of artificial water recharge sites using fusion of RS, GIS, AHP and GA Technologies
This paper narrates experimental setup for finding the most suitable area for artificial water recharge sites using a fusion of GIS, RS AHP, and GA technologies.
Advances in Data Science and Management Proceedings of ICDSM, 2019
Comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model.
This article deals with the comparative analysis of supervised machine learning algorithms for GIS-based crop selection prediction model (CSPM).
Computing and Network Sustainability Proceedings of IRSCNS, 2019
Architectural outline of GIS-based decision support system for crop selection.
For Indian farmers, the crop selection decision is a very crucial task as number of factors need to be taken into consideration. To drive out from this situation, a solution is proposed which apply analytic hierarchy process (AHP) and GIS in terms of a crop selection decision support system in Indian scenario.
Smart Computing and Informatics, 2018
Architectural outline of decision support system for crop selection using GIS and DM techniques.
The crucial task for Indian policy makers and farmers is the decision of crop selection by taking into consideration the various factors, which boosts the precision farming. To overcome this scenario, a decision support system is proposed by using GIS and DM techniques, which helps in deriving a pattern by associating various factors to enhance DSS to suggest potential crop for a region.
Computing and Network Sustainability Proceedings of IRSCNS, 2016
Effective Use of GIS Based Spatial Pattern Technology for Urban Greenery Space Planning: A Case Study for Ganesh Nagar Area of Nanded City.
The proposed model acts as a decision support system for local government by providing suggestion of best suitable tree on particular location with their description to help the environment and human health.
Proceedings of 2nd International Conference on Intelligent Computing and Applications ICICA, 2015