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Amalin Prince A.

Professor, Department of EEE

FPGA based System Design, Hardware Accelerated Data Processing, Affective Computing, Applications of Artificial Intelligence
D-222, Department of Electrical and Electronics Engineering, BITS Pilani Goa Campus, Zuarinagar, Goa-403726, India

Journal Publications

  • Varghese A., Jain S., Jawahar M. and Prince A.A.* (2023) ‘Auto-pore segmentation of digital microscopic leather images for species identification, vol.126, 107049.

  • Subramaniyan N., JJU Buch, Prince A.A.* and Pathak S., (2023) ‘De-noising of microwave reflectometry signal using maximal overlap discrete wavelet packet transform for plasma density measurement’, Measurement: Journal of the International Measurement Confederation, vol. 222, 113564.

  • Jeswani J.*, Govarthan P.K., Selvaraj A, Prince A.A., Thomas J., Kalathe M., Subramaniam V., and Agastinose Ronickom J. (2023) ‘Low valence low arousal stimuli: an effective candidate for EEG-based biometrics authentication system’, Studies in Health Technology and Informatics, vol. 302, 257-261.

  • Yuvaraj R., Baranwal A., Prince A.A., Murugappan M.* and Mohammed J.S. (2023) ‘Emotion recognition from spatio-temporal representation of EEG signals via 3D-CNN with ensemble learning techniques’, Brain Sciences, vol.13 (4), 685.

  • Varghese A., Jawahar M. and Prince A.A.* (2023) ‘Learning species-definite features from digital microscopic leather images’, Expert Systems with Applications, vol.224, 119971.

  • Bhattacharya A.*, Manoj G., Gupta V, Gadda A.A.S., Vedantham D., Prince A. A., Rani P., Ramaniharan A.K. and Fredo A.R.J., (2023) ‘Comparative evaluation of geometrical, Zernike moments, and volumetric features of the corpus callosum for discrimination of ASD using machine learning algorithms, International Journal of Biomedical Engineering and Technology, [DOI: 10.1504/IJBET.2022.10054054].

  • Kanagaraj S., Durairaj P., Prince A.A. and Rajagopal K.*, (2022) ‘Local and network dynamics of a non-integer order resistor–capacitor shunted Josephson junction oscillators, Electronics, vol. 11(18), 2818.

  • Mittal R., Prince A.A.* and Fredo A.R.J., (2022) ‘Time-sliced architecture for efficient accelerator to detrend high-definition electroencephalograms, IEEE Transactions on Instrumentation and Measurement, vol. 71, 1-9.

  • Robert F.*, Prince A.A. and Fredo A.R.J., (2022) ‘Investigation of using CNT and Cu/CNT wires for replacing Cu for power electronics and electrical applications’, ECS Journal of Solid State Science and Technology, vol.11 (2), 023011.

  • Robert F.*, Prince A.A. and Fredo A.R.J., (2022) ‘Influence of wire electrical discharge machine cutting parameters on the magnetization characteristics of electrical steel laminations’, Materials Today: Proceedings, vol.52, 746-750.

  • Gibin C.G., Buch JJU, Prince A.A.* and Surya P., (2021) ‘SoC based automated diagnostic instrument for FMCW reflectometry applications’, IEEE Transactions on Instrumentation and Measurement, vol.70, 1-11.

  • Mittal R., Prince A.A.*, Nalband S., Robert F. and Fredo A.R.J., (2021) ‘Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms, Biomedical Signal Processing and Control, vol. 69, 102927.

  • Bajpai R., Yuvaraj R.* and Prince A.A., (2021) ‘Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach’, Computers in Biology and Medicine, vol.133, 104434.

  • Rathod A.*, Thakker R. and Prince A.A., (2021) ‘Accelerating parameter extraction of PSP MOSFET model on SoC platform’, Journal of Circuits, Systems and Computers, vol.30 (13), 2150247.

  • Mittal R., Prince A.A.*, Nalband S., Robert F. and Fredo A.R.J., (2021) ‘Low-power hardware accelerator for detrending measured biopotential data’, IEEE Transactions on Instrumentation and Measurement, vol. 70, 1-9.

  • Varghese A., Jain S., Prince A.A.* and Jawahar M., (2020) ‘Digital microscopic image sensing and processing for leather species identification’, IEEE Sensors Journal, vol.20 (17), 10045 - 10056.

  • Gibin C.G., Bittu N, Buch JJU, Prince A.A.*, Neena G. and Surya P., (2020) ‘Characteristics of arbitrary ramp generator: A tuning voltage setup for the FMCW reflectometer’, IEEE Transactions on Instrumentation and Measurement, vol.69, 3481-3492.

  • Gibin C.G., Abhishek M., Sriyash C., Prince A.A.*, Buch JJU and Surya P., (2020) ‘A Novel and efficient hardware accelerator architecture for signal normalization’, Circuits, Systems & Signal Processing, vol.39, 2425-2441.

  • Rathod A.*, Thakker R. and Prince A.A., (2020) ‘Parameter extraction of PSP MOSFET model in multi-core Zynq SoC platform’, Procedia Computer Science, vol.171, 1027-1036.

  • Gibin C.G., JJU Buch, Prince A.A.* and Pathak S., (2019) ‘Design of configurable multi-mode trigger unit’, Measurement: Journal of the International Measurement Confederation, vol. 139, 482-489.

  • Praveen G.B.*, Anita A., Pareek S. and Prince A.A., (2019) ‘Brain abnormality detection using template matching’, Bio-Algorithms and Med-Systems, vol. 14 (4), 1896-1906.

  • Robert F.*, Prince A.A., Anita A. and Shibu C., (2018) ‘Modeling and Analysis of Scalable Arcless Micromechanical Switch for Battery Powered Electrical System’, Journal of Micro Nano systems, vol.10 (1), 23-34.

  • Saif N., Valliappan C.A, Prince A.A.* and Anita A., (2018) ‘Time-frequency based feature extraction for the analysis of vibroarthographic signals’, Computers & Electrical Engineering, vol.69, 720-731.

  • Saif N., Prince A.A.* and Anita A., (2018) ‘Entropy-based feature extraction and classification of vibroarthographic signal using complete ensemble empirical mode decomposition with adaptive noise’, IET Science, Measurement & Technology, vol.12, 350-359.

  • Saif N., Sreekrishna R.R. and Prince A.A.*, (2016) ‘Analysis of knee joint vibration signals using ensemble empirical mode decomposition’, Procedia Computer Science, vol.89, 820-827.

  • Saif N., Aditya S., Prince A.A.* and Anita A., (2016) ‘Feature selection and classification methodology for the detection of knee-joint disorders’, Computer Methods and Programs in Biomedicine, vol.127, 94-104.

  • Robert F.*, Shibu C., Anita A. and Prince A.A., (2014) ‘Investigation of microelectromechanical switches for next generation DC power distribution system’, International Journal Of Emerging Electric Power Systems, vol.15 (6),. 591-605.

  • Chithra, Pallavi S., and Prince A.A.*, (2013) ‘RF MEMS based biosensor for pathogenic bacteria detection’, Journal of BioNanoScience, vol. 3 (3), 321-328.

  • Venkateshvaran A. and Prince A.A.*, (2012) ‘A novel MEMS based current sensor design for smart grid applications’, Journal of Sensors and Transducers’, vol. 138 (3), 2-13.

  • Prince A.A.*, Jose I. and Agrawal V.P., (2012) ‘A new optimal design and analysis method based on MADM for MEMS Products Development’, International Journal of Advanced Manufacturing Technology, vol. 63 (9-12), 851-661.

  • Prince A.A.*, Jose I. and Agrawal V.P., (2012) ‘Concurrent design, modeling and analysis of microelectromechanical systems products - Design for ‘X’ abilities’, Journal of Micro Nano systems, vol.4 (1), 56-74 (19).

  • Prince A.A.* and Agrawal V.P., (2010) ‘A group decision making aid for evaluation and optimum selection of Micro-Electro-Mechanical System (MEMS) products’, Journal of Mechatronics and Intelligent Manufacturing, vol. 1 (1/2), 3-24.

  • Prince A.A.* and Agrawal V.P., (2009) ‘Structural modelling and integrative analysis of microelectromechanical systems product using graph theoretic approach’, Journal of Microsystem Technologies, vol. 15 (7), 1083-1096.

  • Singh A., Prince A.A.* and Agrawal V.P., (2009) ‘Design optimization & comparison of RF power sensors based on MEMS’, International Journal of Recent Trends in Engineering (IJRTE) Issue on Electrical & Electronics, vol. 1 (4),  64-67.

  • Prince A.A.* and Agrawal V.P., (2009) ‘Coding, evaluation, comparison, ranking and optimum selection of Micro-Electro-Mechanical System (MEMS) products’, International Journal of Mechatronics and Manufacturing Systems, vol. 2 (1/2), 97–119.

* Corresponding author


Conference Publications

  • Subramaniyan N., JJU Buch, Prince A.A.* and Pathak S., (2023) ‘Analysis of Microwave Reflectometry Data Using Empirical Mode Decomposition for Beat Frequency Estimation,’ 2023 IEEE Industrial Electronics and Applications Conference (IEACon), November 6-7, 2023, Penang, Malaysia, IEEE. [accepted]

  • Anjli V., Jawahar M., Prince A.A.*, (2023) ‘A Heterogeneous Ensemble Learning Approach for Leather Species Prediction,’ 2023 5th International Conference on Computer Communication and the Internet (ICCCI), 20-26, June 23-25, 2023, Fujisawa, Japan, IEEE.

  • Anjli V., Jawahar M., Prince A.A.*, (2023) ‘A Study on Deep Learning Models for Automatic Species Identification from Novel Leather Images,’ 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 25-30, July 13-15, 2023, Bali, Indonesia, IEEE.

  • Anjli V., Jawahar M., Prince A.A.*, (2023) ‘Transfer Learning-based Rich Feature Analysis on Leather Images for Species Prediction,’ 10th International Conference on Signal Processing and Integrated Networks (SPIN 2023), 301-305, March 23-24, 2023, Noida, India, IEEE.

  • Anjli V., Jawahar M., Gupta P. and Prince A.A.*, (2022) ‘Fine-tuning ConvNets with Novel Leather Image Data for Species Identification,’ 15h International Conference on Machine Vision (ICMV), vol. 12701, pp. 150-157, November 18-20, 2022, Rome, Italy, SPIE.

  • Anjli V., Jawahar M., Gupta P., Prince A.A. and Gandomi A.H.*, (2022) ‘Texture Analysis on Digital Microscopic Leather Images For Species Identification,’ 9h International Conference on Soft Computing and Machine Intelligence (ISCMI), 223-227, November 26-27, 2022, Toronto, Canada, IEEE.

  • Anjli V., Jawahar M., Gupta P. and Prince A.A.*, (2022) ‘Adaptive Learning for Leather Image Pre-processing using GAN,’ Seventh International Conference on Computer Vision & Image Processing (CVIP 2022), 436-447, November 04-06, 2022, Nagpur, India, Springer Nature Switzerland.

  • Gupta A., Prince A.A.*, Fredo A.R.J. and Robert F., (2022) ‘Transformer-based Models for Supervised Monocular Depth Estimation,’ International Conference on Intelligent Controller and Computing for Smart Power, 1-5, July 21-23, 2022, Hyderabad, India, IEEE.

  • Gibin C.G., Bittu N, Buch JJU, Prince A.A.*, Neena G. and Surya P., (2021) ‘Characteristics of Arbitrary Ramp Generator: A tuning voltage setup for the FMCW Reflectometer’, IEEE International Instrumentation & Measurement Technology Conference (IEEE I2MTC 2021), May 17-20, 2021, Virtual.

  • Mascarenhas E., Nalband S., Fredo A.R.J. and Prince A.A.*, (2020) ‘Analysis and Classification of Vibroarthrographic Signals using Tuneable ‘Q’ Wavelet Transform,’ 7th International Conference on Signal Processing and Integrated Networks (SPIN2020), 65-70, February 27-28, 2020, Noida, India, IEEE.

  • Gibin C.G., Sriyash C., Abhishek M. and Prince A.A.*, (2018) ‘Efficient Architecture for Implementation of Hermite Interpolation on FPGA’, 12th IEEE Conference on Design and Architectures for Signal and Image Processing, (DASIP2018), 7-12, October 10-12, 2018, Porto, Portugal, IEEE.

  • Praveen G.B.*, Anita A., Jainam S. and Prince A.A., (2018) ‘MediCloud: Cloud-based solution to patient’s medical records’, International Conference on ISMAC in Computational Vision and Bio-Engineering (ISMAC - CVB 2018), May 16-17, 2018, Palladam, India, Springer.

  • Saif N., Valliappan CA., Gupta R., Prince A.A.* and Anita A., (2017) ’Feature Extraction and Classification of Knee Joint Disorders Using Hilbert Huang Transform’, 14th Annual IEEE Conference of ECTI Society, (ECTI-CON 2017), 266-269, June 27-30, 2017, Phuket, Thailand, IEEE.

  • Prince A.A.*, Siram G., Verma P.K., George P. and Raju D., (2016) ‘Efficient Implementation of Empirical Mode Decomposition in FPGA Using Xilinx System Generator’, 42nd IEEE Industrial Electronics Conference (IEEE IECON2016), 895-900, October 24-27, 2016, Florence, Italy, IEEE.

  • Sreekrishna R.R., Saif N. and Prince A.A.*, (2016) ‘Real Time Cascaded Moving Average Filter for Detrending of Electroencephalogram Signals’, 5th IEEE International Conference on Communication and Signal Processing (ICCSP'16), 0745 - 0750 April 6 -8 2016, Chennai, India, IEEE.

  • Prince A. A.* and Ardra S., (2015) ‘FPGA Implementation of Second-Order Difference Plot for Epileptic Seizure Detection in EEG Signals’, 12th IEEE INDICON, (E3 -C3), 1-5, December 17-20 2015, New Delhi, India, IEEE.

  • Prince A.A.* and Vineeth K., (2015) ‘A Framework for Remote and Adaptive Partial Reconfiguration of SoC Based Data Acquisition Systems under Linux’, 10th IEEE International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2015), 1-5, June 29th – July 1st 2015, Bremen, Germany, IEEE.

  • Prince A.A.* and Mishra S., (2015) ‘Multi-Mode Electronic Stethoscope Implementation and Evaluation Using Dynamic Reconfigurable Design’, 5th IEEE International Advanced Computing Conference (IACC 2015), 228 – 232, June 12th - 13th 2015, Bangalore, India, IEEE.

  • Prince A.A.*, Verma P.K., Jayakumar C. and Raju D., (2015) ‘Efficient Architecture for Real Time Implementation of Hilbert Transform in FPGA’, 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 1-5, March 05th - 07th 2015, Coimbatore, India, IEEE.

  • Robert F.*, Shibu C, Anita A and Prince A.A., (2014) ’Effect of Electric Field on Electrical Breakdown Arc Behavior of Micro Contact Gaps: A 3D Approach’, 6th IEEE PES Asia-Pacific Power and Energy Engineering Conference, 1-6, December 7th - 10th  2014, Hong Kong, IEEE.

  • Robert F.*, Shibu C, Anita A and Prince A.A., (2014) ‘Cross Tied Array of Electro-statically Actuated Micro-Electromechanical Switches for AC Circuit Breaking Applications’, IEEE International Conference on Magnetics, Machines & Drives, 1-6, July 24th -25th 2014, Kottayam, India, IEEE.

  • Prince A.A.*, Mangalgiri G. M. and Femi R., (2013) ‘Electronic Circuit Design and Analysis of MEMS Current Sensor’, Proc. Of International Conference on Emerging Technologies - Micro to Nano 2013, 187-188, February 23-24 2013, Goa, India.

  • Prince A.A.*, Chithra and Pallavi S., (2013) ‘RF MEMS based Biosensor for Pathogenic Bacteria Detection’, Proc. Of International Conference on Emerging Technologies - Micro to Nano 2013, 173-174, February 23-24 2013, Goa, India.

  • Harneet A. and Prince A.A.*, (2011) ‘MEMS-based Routers for OBS Network’, Proc. Of National Conference on Electronic Technologies, 87-90, April 15, 2011, Goa, India.

  • Sabne A. and Prince A.A.*, (2007) ‘Embedded System Application in Robotics and Automation’, Proc. Of National conference on Emerging Trends and Developments in Embedded Systems, Goa: India, March, 13-14 2007.

* Corresponding author


Chapters in Books

  • Mittal R., and Prince A.A.*, "Catalogic Systematic Literature Review of Hardware-Accelerated Neurodiagnostic Systems", Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders, Springer Cham, 2022, 187-232.

  • Bajpai R., Yuvaraj R.*, Prince A.A., and Murugappan M., "Abnormal EEG Detection Using Time-Frequency Images and Convolutional Neural Network", Biomedical Signals Based Computer-Aided Diagnosis for Neurological Disorders, Springer Cham, 2022, 1-22.

  • Lal R.S., Prince A.A.*, and Iven J., "Novel Design for RF MEMS Capacitive Shunt Switch in K and Ku Bands", Power Electronics and Instrumentation Engineering, Springer Berlin Heidelberg, 2010, 1-9.

* Corresponding author