Dr. Rajeev Rajan

M. Tech in Applied Electronics and Instrumentation

College of Engineering, Trivandrum in 2004

Ph.D

Dept.  of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai in 2017.

M.B.A (Operations, Management)

IGNOU

Professor

Sept 2024 - Till Date

Government Engineering College, Idukki

Professor and Head

June 2022 -August 2024

Government Engineering College, Barton Hill

Professor

June 2022- June 2022

Government Engineering College, Barton Hill

Associate Professor

2018-2022

College of Engineering, Trivandrum

Assistant Professor

2014-2022

RIT Kottayam

Assistant Professor

2005-2014

Government Engineering College, Wayanad

Radiological safety officer/ Senior research fellow

2004 - 2005

Fluid Control Research Institute  (Ministry of Heavy Industries, Government of India), Palakkad, Kerala.

Graduate Trainee

2001 - 2002

Liquid Propulsion System Centre (ISRO), Mahendragiri, Tamilnadu.

[1] Bhasi Chandran, Rajeev Rajan, MIMICz- An Audio Corpus for the Competency Evaluation of Voice Mimicking, 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT 2024).

[2] Aparna S, Madhurema V. J, Nandana Nair, Parvathi Mohan and Rajeev Rajan AI-based Diabetic Retinopathy Grading Using Raspberry Pi. SPICES-2024.

[3] Hisana et al. Deep learning-based Early Prediction of Epileptic Seizures Using EEG, RAICS -2024

[4] Hiba Hameed, Beena Koshy and Rajeev Rajan, Estimation of Graph Parameters Using Graph Convolutional Neural Networks, RAICS -2024

[5] Noumida A, Rajeev Rajan and Joshua Thomas, Detecting Multiple Overlapping Birds in Audio Recordings using Self Attention-based Wavelet Convolutional Neural Network, RAICS -2024.

[6] Aparna S, Madhurema V.J, Nandana Nair, Parvathi Mohan and Rajeev Rajan, SENet-based Diabetic Retinopathy Classification Using Data Augmentation, RAICS 2024

[7] Mala J B,Alex Raj S M, Rajeev Rajan, X-vector-based Speaker Diarization Using Bi-LSTM and Interim Voting-driven Post-processing, TSD-2024.

[8] Ritzy R et al. A Revew on non-invasive Image -based Deep Learning Pardigms for Crack Detection, ICFCR-2024

[9] Rajeev Rajan, Noumida A, Multi-label Bird Species Classification from Field Recordings using Mel_Graph-GCN Framework -INTERSPEECH-2024

[10] Bhasi K.C, Rajeev Rajan,Attention-augmented x-vectors for the evaluation of mimicked speech using Sparse Autoencoder-LSTM framework, INTERSPEECH-2024.

[11] Rajeev Rajan, Noumida A, Aparna S., Madhurema V. J, Nandana Nair, Parvathi Mohan Diabetic Retinopathy Grading Using Multi-scale Residual Network with Grouped Channel Attention. EUSIPCO-2024

[12] Ashwin P. Joby, Allen Mammen Abraham, Sona Philip, Tessa Ann Josy, Sinith M.S., Rajeev Rajan, Teaching Indian Classical Music using Web-based Interactive Platform and Real-Time Audio Analysis, EUSIPCO-2024

[13] Rajeev Rajan, Ajay Mahadev A R, Arjun P, Noumida A,Teaching Speech Signal Processing Fundamentals in Undergraduate Class Using an Interactive GUI, EUSIPCO-2024.

[14] Rajeev Rajan, Noumida A, Paraconsistent Feature Analysis For the Competency Evaluation of Voice Impersonation, ASRU-2023, Taiwan

[15] M. Suresh, R. Rajan and J. Thomas, "Dysarthria Speech Disorder Classification Using Traditional and Deep Learning Models," 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichirappalli, India, 2023, pp. 01-06, doi: 10.1109/ICEEICT56924.2023.10157285

[16] D. Skariah, R. Rajan and J. Thomas, "CycleGAN based Speech Enhancement Using Time Frequency Masking," 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichirappalli, India, 2023, pp. 1-6, doi: 10.1109/ICEEICT56924.2023.10157492.

[17] A. Ajay and R. Rajan, "Music Genre Classification Using Attention-Based CNN-Feature Fusion Paradigm," AICERA, 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS), Kanjirapally, India, 2023, pp. 1-6,

[18] H. T. K M et al., "Classification of Neurological Disorders from EEG using Deep Learning Frameworks," 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS), Kanjirapally, India, 2023, pp. 1-6,

[19] Sreelekshmi MS. S, D. Jayaram, V. R. Ajith, J. Jacob Mathew and R. Rajan, "Speaker Diarization Using X-vectors-DNN Framework," INDICON-2023 2023 IEEE 20th India Council International Conference (INDICON), Hyderabad, India, 2023, pp. 317-321

[20] R. Rajan and N. A, "Multi-label Bird Species Classification Using Transfer Learning," 2021 International Conference on Communication, Control and Information Sciences (ICCISc), Idukki, India, 2021, pp. 1-5, doi: 10.1109/ICCISc52257.2021.9484858.

[21] Rajan, R., Johnson, J. & Abdul Kareem, N. Bird Call Classification Using DNN-Based Acoustic Modelling. Circuits Syst Signal Process 41, 2669–2680 (2022). https://doi.org/10.1007/s00034-021-01896-2

[22] K. Manohar, A. R. Jayan and R. Rajan, "Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers," in IEEE Access, vol. 10, pp. 97555-97575, 2022, doi: 10.1109/ACCESS.2022.3204403.

[23] N. A. and R. Rajan, "Deep Learning-based Automatic Bird Species Identification from Isolated Recordings," 2021 8th International Conference on Smart Computing and Communications (ICSCC), Kochi, Kerala, India, 2021, pp. 252-256, doi: 10.1109/ICSCC51209.2021.9528234.

[24] R. Rajan, J. Antony, R. A. Joseph, J. M. Thomas, C. D. H and A. C. V, "Audio-Mood Classification Using Acoustic-Textual Feature Fusion," 2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS), Kollam, India, 2021, pp. 1-6, doi: 10.1109/ICMSS53060.2021.9673592.

[25] A. Krishnan, A. Vincent, G. Jos and R. Rajan, "Multimodal Fusion for Segment Classification in Folk Music," 2021 IEEE 18th India Council International Conference (INDICON), Guwahati, India, 2021, pp. 1-7, doi: 10.1109/INDICON52576.2021.9691751.

[26] R Rajan, AA Joshy, V Shiburaj Oktoechos classification in liturgical music using musical texture features- Proc. of 15th International Symposium on Computer 2021

[27] A. A. Joshy, P. N. Parameswaran, S. R. Nair and R. Rajan, "Statistical Analysis of Speech Disorder Specific Features to Characterise Dysarthria Severity Level," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095366.

[28] M. A. Aiswarya, M. S. Sinith and R. Rajan, "Automatic Tonic Pitch Estimation in South Indian Classical Music using Frequency- ratio Method," 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, 2023, pp. 527-532, doi: 10.1109/ICISCoIS56541.2023.10100503.

[29] Mala J. B, Anisha A. S, AlexRaj S. M and R. Rajan, "Efficacy of ELECTRA-based Language Model in Sentiment Analysis," 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, 2023, pp. 682-687, doi: 10.1109/ICISCoIS56541.2023.10100342.

[30] K. Manohar, G. G. Menon, A. Abraham, R. Rajan and A. R. Jaaaaayan, "Automatic Recognition of Continuous Malayalam Speech using Pretrained Multilingual Transformers," 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, 2023, pp. 671-675, doi: 10.1109/ICISCoIS56541.2023.10100598.

[31] A. Noumida, R. Mukund, N. M. Nair and R. Rajan, "Multi-label Bird Species Classification Using Ensemble of Pre-trained Networks," 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, 2023, pp. 644-649, doi: 10.1109/ICISCoIS56541.2023.10100519.

[32] J. Saji, M. Chandran, M. Pillai, N. Suresh and R. Rajan, "English-to-Malayalam Machine Translation Framework using Transformers," 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-5, doi: 10.1109/INDICON56171.2022.10039859.

[33] S. Nazar and R. Rajan, "Multi-label Comment Classification Using GloVe-RNN Framework," 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-4, doi: 10.1109/INDICON56171.2022.10040184.

[34] N. A and R. Rajan, "Multi-label Bird Species Classification Using Hierarchical Attention Framework," 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-6, doi: 10.1109/INDICON56171.2022.10039791.

[35] G. George and R. Rajan, "A FAISS-based Search for Story Generation," 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-6, doi: 10.1109/INDICON56171.2022.10039758.

[36] A. Ayasi, J. Joshy and R. Rajan, "Speaker Diarization Using BiLSTM and BiGRU with Self-Attention," 2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS), Kottayam, India, 2022, pp. 1-5, doi: 10.1109/ICNGIS54955.2022.10079831.

[37] Rajan, Rajeev, and Ananya Ayasi. "Oktoechos Classification in Liturgical Music Using SBU-LSTM/GRU}}." Proc. Interspeech 2022 (2022): 2403-2407.

[38] S. Sreejith and R. Rajan, "Rāga Recognition in Indian Carnatic Music Using Transfer Learning," 2021 Fourth International Conference on Microelectronics, Signals & Systems (ICMSS), Kollam, India, 2021, pp. 1-5, doi: 10.1109/ICMSS53060.2021.9673599.

[39] Rajeev Rajan, Anna J. Joseph, Elizabeth K. Robin, Fathima Nishma T. K. “Part-Of-Speech Tagger in Malayalam Using Bi-directional LSTM”, in proceedings of International Committee for the Co-ordination and Standardization of Speech Databases and Assessment Techniques(O-COCOSDA 2020.) Yangon,Myanamar, November 2020.

[40] Rajeev Rajan, AbhijithGirish, Adharsh Sabu, AkshayPrasannanLatha, “Evaluation of Voice Mimicking Using i-vectorFramework”, in Proceedings of the International Conference on Speech and Computer, SPECOM-2020,October 2020, St.Petersberg, Russia.

[41] Abhijith G., Adarsh S., AkshayPrasannan and Rajeev Rajan, “Competency Evaluation in Voice Mimicking Using Acoustic Cues”, in ProceedingsINTERSPEECH 2020.

[42] Rajeev Rajan, AiswaryaVinodh Kumar, Ben P. Babu, “Poetic Meter Classification Using i-vector-MTF Fusion”, in Proceedings INTERSPEECH 2020.

[43] Amlu Anna Joshy, Rajeev Rajan “Automated Dysarthria Severity Classification Using Deep Learning Frameworks”, in Proceedings of 28th European Signal Processing Conference (EUSIPCO 2020)

[44] Kavya Manohar, Jayan A.R, Rajeev Rajan, Quantitative Analysis of the Morphological Complexity of Malayalam Language, in Proceedings of Text Speech Dialogue (TSD) -2020.

[45] Roshni Ajayakumar, Rajeev Rajan, “Predominant Instrument Recognition in Polyphonic Music Using GMM-DNN Framework” in Proceedings of IEEE conference on Signal Processing and Communication (SPCOM), Indian Institute of Science, Bangalore.

[46] Rajeev Rajan, Haritha U.G, Sujitha A.C, Rejisha T.M, “Design and Development of a Multi-lingual Speech Corpora (TaMaR-EmoDB) for Emotion Analysis”, in Proc. of INTERSPEECH 2019, Graz,Austria, Sep 15-19.

[47] Rajeev Rajan, Anu AlphonsaRaju,“Deep Neural Network Based Poetic MeterClassification Using Musical Texture Feature Fusion”, in Proc. of EUSIPCO-2019, A-Coruna, Spain,Sep 2-6,2019

[48] Rajeev Rajan, Anu Alphonsa Raju, “Poetic Meter Classification Using Acoustic Cues”, in Proc. of IEEE conference on Signal Processing and Communication (SPCOM-2018), Indian Institute of Science, Bangaluru, July 2018.

[49] R Ajayakumar, R Rajan “Predominant instrument recognition from polyphonic music using feature fusion” in Proceedings of Emerging Trends in Engineering, Science and Technology for Society, Energy and Environment,(ICETEST)2018.

[50] R. Rajan, R. S Reshma “Non-destructive classification of watermelon ripeness using acoustic cues”, in Proceedings of Emerging Trends in Engineering, Science and Technology for Society, Energy and Environment,(ICETEST)2018

[51] Alka John, Rajeev Rajan, Karun Sajeev “Music Perception Analysis on Hearing Impaired Listeners”, in Proceedings of International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2018

[52] Jerin Baby Mathew ;Jonie Jacob ; Karun Sajeev ; Jithin Joy ; Rajeev Rajan, “Significance of Feature Selection for Acoustic Modeling in Dysarthric Speech Recognition”, in Proceedings of International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2018.

[53] Rajeev Rajan, Hema A. Murthy “Music genre classification by fusion of modified group delay and melodic features”, in Proc. of IEEE Twenty-third National Conference on Communications (NCC), Indian Institute of Technology, Madras, March 2017.

[54] M.V Unnikrishnan, Rajeev Rajan“ Mimicking voice recognition using MFCC-GMM framework”, in Proceedings of International Conference on Trends in Electronics and Informatics (ICEI), 2017.

[55] Solomon Saju, Rajeev Rajan, AR Jayan “Music genre classification using spartan 6 FPGA and TMS320c6713 DSK” in Proceedings of International Conference on Signal Processing and Communication (ICSPC) 2017.

[56] S Soumya, Solomon Saju, Rajeev Rajan, NelsaSebastian“Poetic meter classification using TMS320C6713 DSK”, in Proceedings of International Conference on Signal Processing and Communication (ICSPC) 2017.

[57] V.V.Sreeraj, Rajeev Rajan ,”Automatic dialect recognition using feature fusion”, in Proceedings of International Conference on Trends in Electronics and Informatics (ICEI), 2017.

[58] PS Drisya, Rajeev Rajan, ”Significance of TEO slope feature in speech emotion recognition” in Proceedings of International Conference on Networks & Advances in Computational Technologies (NetACT),2017.

[59] P Piyush, Rajeev Rajan, Leena Mary, Bino I Koshy , “Vehicle detection and classification using audio-visual cues” in Proceedings of 3rd International Conference on Signal Processing and Integrated Networks (SPIN), 2016.

[60] Rajeev Rajan and Hema. A. Murthy, “Group delay based melodymonopitch extraction from music,” in Proc. of the IEEE Int. Conf. on Audio, Speech and Sig. Processing,(ICASSP), pp. 186–190, 2013.

[61] Rajeev Rajan and Hema A. Murthy “Group Delay Based Melody Extraction for Indian Music”, In Proceedingsof 3rd Comp Music International Workshop,13-15,December,2013, Indian Institute of Technology Madras, India.

[62] Lekshmi.S.R, Sindhu.N, Rajeev Rajan “Performance Enhancement of Radio-over-Fiber Communication,"in proceedings of IEEE International Conference on Emerging Trends in Science, Engineering, Business and Disaster Management (ICBDM) 2014, Noorul Islam University, Kanyakumari.

[63] Reshma R S, Shilpa Purushothaman, Rajeev Rajan , "Non-destructive Classification of Watermelon Ripeness Based on Teager Energy Features and Support Vector Machines", NET 2014, Government Engineering College,Kozhikode.

[64] Rajeev Rajan, A.J.Anvitha, Shilpa Purushothaman, " Speech Emotion Recognition by Fusion of Slope and Teager Energy Features", NATCON 2014, National TechnologicalCongress Kerala, conducted by CERD, GEC Wayanad.

[65] Lekshmi.S.R, Sindhu N, Rajeev Rajan “ Spectral Response of Four Wave Mixing in Different Optical Amplifier Configurations using FBG”, in proceedings of National Conference on Recent Trends in Electronics and Communication Systems 2014.

[66] Rajeev Rajan and Hema A. Murthy “Melody extraction using Modified Group delay functions” In Proceedings of National Communication Conference, (NCC)-2013, Indian Institute of Technology, Delhi.

[67] Beena Koshy, Germina K.A & Rajeev Rajan, ”Application of complementary distance pattern uniform sets in data structures In Proceedings of 24th Kerala science congress, Rubber Research Institute of India, Kottayam 29-31 Jan 2012.

[68] Rajeev Rajan Community Radio-Response of tribes, (case study of Wayanad), In Proceedings of 24th Kerala Science Congress, Rubber Research Institute of India, Kottayam 29-31 Jan 2012

[69] S. Dey, Rajeev Rajan, P.Rajan and Hema A. Murthy, ”Feature diversity in Emotion ,Language ,Speaker Recognition”, In Proceedings of National Communication Conference(NCC)2011 ,Indian Institute of Science ,Bangalore, India.

[70] Beena Koshy, GerminaK.A and Rajeev Rajan, Complementary distance pattern uniform sets & tree data structures of computer science”, In Proceedings of National Symposium on Mathematics Methods and Applications, Indian Institute of Technology ,Madras,22 Dec. 2011

[71] Beena Koshy and Rajeev Rajan,” Graph theory applications in intelligent character recognition,” In Proceedings of National Symposium on Mathematics Methods and Applications, 22 Dec. 2009, Indian Institute of Technology Madras, India.

[72] Rajeev Rajan, Intelligent Character Recognition System, In Proceedings of National Seminar, College of Engineering Trivandrum, 2004.

[73] Noumida . A, R. Mukund, N. M. Nair and R. Rajan, "Stacked Res2Net-CBAM with Grouped Channel Attention for Multi-Label Bird Species Classification," 2023 31st European Signal Processing Conference (EUSIPCO), Helsinki, Finland, 2023, pp. 446-450

[74] Rajeev Rajan, Noumida A, Aparna S., Madhurema V. J, Nandana Nair, Parvathi Mohan Diabetic Retinopathy Grading Using Multi-scale Residual Network with Grouped Channel Attention. EUSIPCO-2024

[1] Speech Emotion Recognition by fusion of slope and Teager energy features byAnvitha A.J submitted to Kannur University in 2014.

[2] Non-destructive Classification using Acoustic Analysis by Reshma R.S submitted to Kannur University in 2014.

[3] Modeling and Characterization of Non-linear Effects in Optical Amplifier for RoF applications by Lekshmi, S.R. submitted to Kannur University in 2014. (Internal Guide).

[4] Phase based Pitch Trajectory Estimation of multiple concurrent sounds by Boney Thomas, submitted to M.G University in 2015.

[5] Vehicle detection Using Audio-Visual Cues by Piyush P. submitted to M.G University in 2015.

[6] Medical Image Enhancement Using Anisotopic Diffusion with K-means clustering byJitha Pinky Sreedhar submitted to M.G University in 2015.

[7] Speech Emotion Recognition using Feature Fusion by Drisya P.S submitted to M.G University in 2016.

[8] Speech/Music discrimination using spectral feature fusion by Sreekumar R. submitted to M.G University in 2016.

[9] FPGA implementation of MFCC based music genre classification by Solomon Saju submitted to KTU in 2017.

[10] Competency Evaluation of mimics and its effect on spoof attack by Unnikrishnan submitted to KTU in 2017.

[11] Dialect Recognition in Malayalam Using Spectral Features bySreeraj submitted to KTUin 2017.

[12] Poetic Meter Estimation Using TMS320C6713 SDK bySoumaya, submitted to KTU in 2017.

[13] Predominant-Instrument recognition in polyphonic music by Roshni Ajayakumar, submitted to KTU 2018.

[14] Poetic meter estimation using Musical Texture Features by Anu Alphnosa Raju submitted to KTU 2018.

[15] Musical Perception Analysis on Hearing Impaired People by Alka John, submitted to KTU 2018.

[16] Predominant Instrument Recognition using CNN, by Lilly Louise, submitted to KTU 2019.

[17] Real time elevator Detection Using sensors in smart phone, Pooja Mohan submitted to KTU 2019.

[18] Fault classification using Machine Learning Devi S. Thampy. Submitted to KTU 2019.

[19] Mimicking Recognition using LSTM, Diya U Pradeep Submitted to KTU 2020.

[20] Bird Call Classification Using DNN-Based Acoustic Modelling, Jisna Johnson,Submitted to KTU 2020.

[21] Structural segmentation of Folk music using deep learning, Nithin S.K Ongoing.

[22] Topic Modelling using Word Embedding and deep learning, (Co-guide) -Sahana Ongoing.

[23] Bird call recognition using Transfer Learning and augmentation,Noumida- Ongoing.

[24] Speech Recognition in Malayalam, Jasmin K.S Ongoing.

[25] Speech Emotion Recognition Using Attention Framework Hridya Raj T.V 2022,

[26]Tonic Estimation in Indian Art Music Aiswarya M A 2022

[27] Audio Mood Classification Using Attention and Multimodal Fusion, Sujesha A. S 2022

[28] Artificial Intelligence Guided Educational Tool for Automatic Story Generation from Keyword Godvin George, 2022

[29] Music Genre classification Using Deep Learning, Abhinav Ajay 2023

[30] Diabetic Retinopathy Grading Using AI, Haritha Lekssmi K T, 2023