Dr. Rajeev Rajan  Ph. D

Associate Professor
Dept of Electronics and Communication Engineering
Government Engineering College, Barton Hill, Thiruvananthapuram, Kerala
APJ Abdul Kalam Technological University

Dr. Rajeev Rajan  received his B. Tech in Electronics and Communication from College of Engineering,  Adoor (Cochin University of Science and Technology) in 2000; M. Tech in Applied Electronics and Instrumentation  from  College of Engineering, Trivandrum in 2004; Ph.D from the Dept.  of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai in 2017.

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Before joining in College of Engineering, Trivandrum, in 2018, he served as Assistant Professor in Rajiv Gandhi Institute of Technology, Kottayam (2014-2018)and Government Engineering College Wayanad (2005-2014),  Radiological safety officer/ Senior research fellow at Fluid Control Research Institute  (Ministry of Heavy Industries, Government of India), Palakkad, Kerala (2004-2005), Graduate Trainee in Liquid Propulsion System Centre (ISRO), Mahendragiri, Tamilnadu (2001-2002).

He teaches Random Processes and Applications, Speech Signal Processing, Signals and Systems, Digital Signal Processing, Multirate Systems and Wavelets, Adaptive Signal Processing, Digital Image Processing, Image and Video Processing, Pattern Recognition.

His research areas are Speech and  Music Signal Processing, Image Processing

He completed three research projects under TEQIP, namely, Music information retrieval  using melodic similarity,  Development of a multi-lingual emotional speech corpus and its study and Maturity analysis of watermelon using non-destructive testing

Educational Details

B. Tech in Electronics and Communication

College of Engineering,  Adoor (Cochin University of Science and Technology) in 2000

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

M.A(Rural Development)

IGNOU

Professional Experience

Associate Professor

2022 - Till Date

Government Engineering College, Trivandrum

Assistant Professor

2018 - 2022

College of Engineering, Trivandrum

Assistant Professor

2014 - 2018

Rajiv Gandhi Institute of Technology, 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.

Teaching

Random Processes and Applications
Speech Signal Processing
Signals and Systems
Digital Signal Processing
Foundations on Deep Learning
Multirate Systems and Wavelets
Adaptive Signal Processing
Digital Image Processing
Image and Video Processing
Pattern Recognition

Research Interests

  • Speech and Audio Processing (recognition, mimicking recognition, source separation, synthesis, transcription).
  • Music Signal Processing (music information retrieval, classification).
  • Natural Language Processing (Sentiment analysis, Topic modelling).

Publications

Journals

[1] Rajeev Rajan, Hema Murthy “Two-pitch tracking in co-channel speech using modified group delay functions” Speech Communications, Volume 89, May 2017, Pages 37-46.

[2] Rajeev Rajan ,ManaswiMisra and Hema A. Murthy “Melody extraction from music using modified group delay functions” International Journal of Speech Technology,Volume 20, Issue 1, March 2017 Pages 185-204.

[3] A. A. Joshy and R. Rajan, "Automated Dysarthria Severity Classification: A Study on Acoustic Features and Deep Learning Techniques," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 1147-1157, 2022, doi: 10.1109/TNSRE.2022.3169814.

[4] 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.

[5] Reghunath, L.C., Rajan, R. Transformer-based ensemble method for multiple predominant instruments recognition in polyphonic music. J AUDIO SPEECH MUSIC PROC. 2022, 11 (2022). https://doi.org/10.1186/s13636-022-00245-8

[6] Amlu Anna Joshy, Rajeev Rajan, Dysarthria severity assessment using squeeze-and-excitation networks, Biomedical Signal Processing and Control, Volume 82, 2023, 104606, ISSN 1746-8094,

[7] Rajan, R., Sivan, S. Multi-channel CNN-Based Rāga Recognition in Carnatic Music Using Sequential Aggregation Strategy. Circuits Syst Signal Process (2023). https://doi.org/10.1007/s00034-023-02301-w

[8] Resna, S., Rajan, R. Multi-Voice Singing Synthesis From Lyrics. Circuits Syst Signal Process 42, 307–321 (2023). https://doi.org/10.1007/s00034-022-02122-3

[9] S, J., Samuel, A.A. & Rajan, R. A study on conventional and syllable-based approaches for automatic speech recognition in Malayalam. Sādhanā 47, 284 (2022). https://doi.org/10.1007/s12046-022-02058-z

[10] Amlu Anna Joshy, Rajeev Rajan, Dysarthria severity classification using multi-head attention and multi-task learning, Speech Communication, Volume 147, 2023,Pages 1-11, ISSN 0167-6393,

[11] Joseph, S., Rajan, R. Cycle GAN-Based Audio Source Separation Using Time–Frequency Masking. Circuits Syst Signal Process 42, 1163–1180 (2023). https://doi.org/10.1007/s00034-022-02178-1

[12] Rajan, R., Harishanker G., Athirasree C.A, & Haritha S.M. (2021). Music Genre Classification Using Timbral Feature Fusion on i-vector Framework. INFOCOMP Journal of Computer Science, 20(2).

[13] Lekshmi , C.R., Rajeev, R. Multiple Predominant Instruments Recognition in Polyphonic Music Using Spectro/Modgd-gram Fusion. Circuits Syst Signal Process (2023). https://doi.org/10.1007/s00034-022-02278-y

[14] R Rajan, BSS Mohan , Distance Metric Learnt Kernel-Based Music Classification Using Timbral Descriptors - International Journal of Pattern Recognition and Artificial Intelligence, 2021

[15] Rajeev Rajan, Lekshmi Chandrika Reghunath, and Liju T. Varghese. 2022. POMET: a corpus for poetic meter classification. Lang. Resour. Eval. 56, 4 (Dec 2022), 1131–1152. https://doi.org/10.1007/s10579-022-09604-5

[16] A Noumida, Rajeev Rajan, Multi-label bird species classification from audio recordings using attention framework, Applied Acoustics, Volume 197,2022, 108901, ISSN 0003-682X,

[17] Sujeesha A.S, Rajeev Rajan,” Transformer-based Automatic Music Mood Classification Using Multi-modal Framework”, Journal of Computer Science and Technology, 2023. (Accepted for publication).

[18] Rajeev Rajan, Oktoechos Classification and Generation of Liturgical Music using Deep Learning Frameworks, Journal of Creative Music Systems (Accepted for publication)

[19] Resna S, Rajeev Rajan “Comparative study of speech to singing snthrsisers” International Journal of Automation and Systems, (Accepted for publication)

[20] Joseph, S., Rajan, R. Cycle GAN-Based Audio Source Separation Using Time–Frequency Masking. Circuits Syst Signal Process 42, 1163–1180 (2023). https://doi.org/10.1007/s00034-022-02178-1

[21] Rajeev Rajan, “Information Communication and Technology in Indian Agriculture Sector”, “VinjanaKairali, Pages 40-48, March 2022. (UGC-CARE Journal-Malayalam Article)

[22] Rajeev Rajan, “Machine Learning, -A Study “, VinjanaKairali, Pages 43-46, July 2022. (UGC-CARE Journal, Malayalam Article)

Conferences

[1] 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.

[2] 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

[3] 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.

[4] 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.

[5] 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.

[6] 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.

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

[8] 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.

[9] 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.

[10] 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.

[11] K. Manohar, G. G. Menon, A. Abraham, R. Rajan and A. R. Jayan, "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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.

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

[19] 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.

[20] 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.

[21] 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.

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

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

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

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

[26] 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.

[27] 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.

[28] 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

[29] 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.

[30] 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.

[31] 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

[32] 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

[33] 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.

[34] 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.

[35] 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.

[36] 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.

[37] 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.

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

[39] 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.

[40] 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.

[41] 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.

[42] 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.

[43] 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.

[44] 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.

[45] 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.

[46] 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.

[47] 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.

[48] 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.

[49] 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

[50] 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.

[51] 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

[52] 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.

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

Projects Completed

  • Design and Development of needle introducer -Joint Research Project-SCIT and GEC BH (ongoing)
  • Design and Development of e-Trolly -Joint Research Project- Joint Research Project-SCIT and GEC BH(ongoing)
  • Design and Development of Phycoscrapper -Joint Research Project-CET and Catholicate College, Pathanamthitta
  • Surveillant Robot -Funded by KSCSTE-2022.
  • Non-destructive Classification of watermelon ripeness and maturity by acoustic analysis- TEQIP/371/2014.
  • Study on emotion recognition by fusion of features -TEQIP/372/2014.
  • Music information retrieval using melodic similarity,-TEQIP/X/2017.
  • Study on CDPU sets and its applications-UGC-Project-Co-researcher.

Patents Filed

  • Phycoscraper, Device to study algae characteristics, 2022, No: 202241035059
  • Adaptive Trolley E-Drive -Collaborative work with SCIT Trivandrum No202241035059
  • Ultrasound Guided Needle Injector- Collaborative work with SCIT Trivandrum

M.Tech Thesis

[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.

Extension Activities

  • Reviewer -Speech Communications, IEEE Transactions of Audio, speech and Language Processing, Imaging science Journal, JNMR, ICASSP,Interspeech.
  • Technical Programme Committee Member and Reviewer, National Conference on Communication, organized by IITs in India
  • Technical Committee Member, Maker Village, Technopark, Trivandrum
  • Subject expert of the selection committee constituted for the selection of Technical Staff for Digital University
  • Chairman Pass Board, ECE Third Year B. Tech of Kerala University
  • Board of studies Member Kerala Technological University
  • Curriculum Committee Member, UG/PG Kerala Technological University
  • CERD Staff in charge GEC BH
  • IPR Cell Staff in charge GEC BH

Recognition and Achievements

  • P.T. Bhaskarapanicker ScienceWriting Fellowship for the year 2022 (Robotics and Machine Intelligence) -KSCSTE
  • Best Paper Award- Kerala Science Congress 2023 (Category 13).
  • Outstanding TA Award from IIT Madras.
  • Anti-Spoofing challenge (ASVspoof 2017). Member of the team representing IIT Madras bagged 17th position, out of 50 participated countries.
  • University First Rank MTech 2004 Kerala University

News

  • Monday, 31 August,2020, One paper is accepted in O-COCOSDA 2020
  • Sunday, 26 July, 2020, Two papers are accepted in INTERSPEECH 2020
  • Wednesday,15 July, 2020, One paper is accepted in SPECOM-2020
  • Friday, June 5. 2020, One paper is accepted in TSD-2020
  • Friday, 29 May, 2020, One paper is accepted in EUSIPCO-2020
  • Sunday, 12 April, 2020, One paper is accepted in SPCOM-2020

Gallery

Contact

Address


Dr. Rajeev Rajan  Ph. D.
Associate Professor
Dept of Electronics and Communication Engineering
Government Engineering College,
Barton Hill, Thiruvananthapuram, Kerala

Call:

9495816851