• Benchmarking Laguerre-Gaussian mode decoding in atmospheric turbulence: phase-only versus ideal complex-field approaches 

  Abhyankar, G.; Gad, R.S.; Gawali, S.B.; Vetrekar, N.; Thomas, A.; Naik, G.M. (Journal of Optics. NYP; 2026; NYP.)

  Orbital Angular Momentum (OAM)- based Free Space Optical (FSO) communication offers a potential solution for achieving high spectral efficiency. OAM multiplexing and demultiplexing are key components of these systems. The ...
• Gender classification across different age groups: An extensive benchmark evaluation 

  De Ataide, M.; Raut, S.; Vetrekar, N.; Gad, R.S. (AIP Conference Proceedings. 3284(1); 2026; ArticleID_050012.)

  Gender is a non-intrusive, soft biometric trait which is gaining popularity in the field of biometric authentication systems for making them more robust. Gender classification across different age groups becomes challenging ...
• Towards exploring RGB color channels of visible face images to band for gender classification 

  Patel, K.; Vetrekar, N.; Gaonkar, A.A.; Gad, R.S. (AIP Conference Proceedings. 3284(1); 2026; ArticleID_060003.)

  Gender classification across different spectra has consistently been a challenging task due to the spectral gap between the training and testing samples. This work explores the Red (R), Green (G) and Blue (B) channel ...
• Employing spectral signature for ocular eyeglass detection 

  Raut, S.; Vetrekar, N.; Gad, R.S. (AIP Conference Proceedings. 3284(1); 2026; ArticleID_100008.)

  User verification performance based on ocular region has been greatly affected when user wear eyeglasses. Therefore, to improve the verification accuracy of ocular biometric system, the eyeglass detection has been explored ...
• Stimulus-Evoked Brain Signals for Parkinson's Detection: A Comprehensive Benchmark Performance Analysis on Cross-Stimulation and Channel-Wise Experiments 

  Patel, K.; Gad, R.S.; de Ataide, D.; Vetrekar, N.T.; Ferreira, T.; Ramachandra, R. (Bioengineering. 12(11); 2025; ArticleID_1185.)

  Parkinson's disease (PD) is a progressive neurodegenerative disorder that affects both motor and cognitive functions, often resulting in misdiagnosis during its early stages. The condition severely impacts daily living, ...
• Detecting starch-adulterated turmeric using Vis-NIR spectroscopy and multispectral imaging with machine learning 

  Lanjewar, M.; Asolkar. S.; Parab, J.S.; Morajkar, P.P. (Journal of Food Composition and Analysis. 136; 2024; ArticleID_106700.)

  Chemicals are often added to turmeric to increase profits, posing significant health risks to consumers. At the same time, traditional methods for detecting contaminants in turmeric are complicated and time-consuming. This ...
• Detection and quantification of formaldehyde adulteration in cow and buffalo milk using UV-Vis-NIR spectroscopy with machine learning 

  Rosa, D.G.; Malik, V.V.; Patle, L.B.; Parab, J.S.; Lanjewar, M. (Food Chemistry. 492(2); 2025; ArticleID_145485.)

  This work uses UV-Vis-NIR spectroscopy (200-1700 nm), spectral preprocessing, principal component analysis (PCA), and machine learning (ML) to identify and quantify formalin adulteration in cow and buffalo milk. Formalin ...
• Robust method for detecting metanil yellow in turmeric: Integrating Vis-NIR spectroscopy and machine learning 

  Lanjewar, M.; Morajkar, P.P.; Parab, J.S. (Journal of Food Composition and Analysis. 142; 2025; ArticleID_107409.)

  Food color significantly influences the quality and marketability of food, but harmful adulterants like metanil yellow (MY) are sometimes added to turmeric to improve its appearance, posing severe health risks. In this ...
• Integrating ATR-MIR spectroscopy with stacking machine learning for detecting palm olein adulterants in groundnut oil 

  Panchbhai, K.G.; Lanjewar, M. (Journal of Food Measurement and Characterization. 19(8); 2025; 5871-5885.)

  Groundnut oil (GNO) is a rich source of crucial fatty acids for human physiological development. However, concerns have been raised regarding certain manufacturers who may adulterate GNO with less expensive alternatives ...
• Identification of mango varieties with vitamin C and titratable acidity using stacking generalization from NIR spectra 

  Panchbhai, K.G.; Lanjewar, M. (Journal of Food Measurement and Characterization. 19(6); 2025; 4257-4277.)

  Mango, renowned as one of the most popular fruits globally, encompasses a wide range of varieties with significant variations in texture, taste, colour, and other attributes. Accurately identifying mango varieties and their ...

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