St. Thomas' College of Engineering & TechnologyApproved by AICTE, New Delhi & Affiliated to MAKAUT, W.B

Dr. Arijit Ghosal

Information Technology | IT
Associate Professor
[email protected]

Area of Specialization

Pattern Recognition, Machine Learning

Teaching Experience

16 Years

Academic Qualifications

 

Ph.D. (Engg): Jadavpur University, 2014

M.Tech.: West Bengal University of Technology, 2008

 

 

Date of Joining 08-07-2016
Date of Assign as Prof / A.P 01-08-2017

Patent

  1. “An Emotion Detection System and Method Using Pattern Recognition”, Application Number 2021106885, Date of Filing: 24/08/2021, Date of Grant: 17/11/2021. [Australian Patent]
  2. “System and Method for Restricting Spread of COVID-19 Using Machine Learning Models”, Application Number 202341042252, Date of Filing: 23/06/2023, Status: ACCEPTED. [Indian Patent]

Journal Publications

  1. Ghosal, A., Dutta, S., & Banerjee, D. (2020). “A Hierarchical Stratagem for Classification of String Instrument”, International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) (Scopus Indexed), Vol 15, Issue 1, pp. 1-23.
  2. Ghosal, A., Dutta, S., & Banerjee, D. (2015). “Speech/Music Differentiation and Male/Female Voice Diagnosis in Speech: A Hierarchical Approach”, International Journal of Modern Trends in Engineering and Research, Vol 2, No. 6, pp. 514-522 (SJIF 1.711).
  3. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2015). “Perceptual Feature Based Song Genre Classification using RANSAC”, International Journal of Computational Intelligence Studies, Vol. 4, No. 1, pp. 31–49.
  4. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2013). “A Hierarchical Approach for Speech-Instrumental-Song Classification”, SpringerPlus (SCIE Indexed), Vol. 2, No. 1, pp. 1-11.
  5. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2012). “Music Classification based on MFCC Variants and Amplitude Variation Pattern: A Hierarchical Approach”, International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP) (SERSC), Vol 5, No 1, pp. 131-150.

 

Book Chapter

  1. Ghosal, A., Gupta, N., Nandi, E., & Somolu, H. (2022). “Biomedical Data Driven COVID-19 Prediction Using Machine Learning Approach”. In Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases (pp. 123-138). Springer, Cham.
  2. Bhattacharya, A., Ghosal, A., Obaid, A. J., Krit, S., Shukla, V. K., Mandal, K., & Pramanik, S. (2021). “Unsupervised Summarization Approach With Computational Statistics of Microblog Data”, Methodologies and Applications of Computational Statistics for Machine Intelligence, IGI Global, pp. 23-37.
  3. Debnath, O., Saha, H. N., Ghosal, A. (2021). “External Threat Detection in Smart Sensor Networks using Machine Learning Approach”, Smart Sensor Networks: Analytics, Sharing and Control (SSNASC), Springer, pp. 151-178.
  4. Gupta, N., & Ghosal, A. (2021). “Automation of Attainment Calculation in Outcome-Based Technical Education (OBTE)”, Computational Intelligence in Digital Pedagogy (CIDP), Springer, pp. 113-135.
  5. Behrman, E., Santra, A., Sarkar, S., Roy, P., Yadav, R., Dutta, S., Ghosal, A. (2021). “Dialect Identification of Bengali Language”, Data Science and Data Analytics: Opportunities and Challenges (DSDA), CRC Press, Taylor & Francis, pp. 357-373.

Conference Publications

  1. Banerjee, D., & Ghosal, A. (2022). “More Patients or More Deaths: Investigating the Impact of COVID-19 on Important Economic Indicators”. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 2 (pp. 605-611). Singapore: Springer Nature Singapore.
  2.  Banerjee, D., Ghosal, A., & Mukherjee, I. (2021). “Prediction of gold price movement using discretization procedure”. In Computational Intelligence in Data Mining (pp. 345-356). Springer, Singapore.
  3.  Banerjee, A., Ghoshal, R., & Ghosal, A. (2022). “TextUnet: Text Segmentation Using U-net”. In International Conference on Computational Intelligence in Pattern Recognition (pp. 163-172). Springer, Singapore.
  4. Banerjee, Debanjan, Arijit Ghosal, and Imon Mukherjee. “Investigating the Impact of COVID-19 on Important Economic Indicators.” Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021. Singapore: Springer Nature Singapore, 2022. 433-443.
  5. Ghosal, A., & Ghoshal, R. (2021). “Co-occurrence Based Approach for Differentiation of Speech and Song”, Intelligent Computing and Technologies Conference (ICTCon2021), AIJR Proceedings, pp. 127-133 (DOI: https://doi.org/10.21467/proceedings.115.17).
  6. Dutta, S., Ghosal, A. & Ghoshal, R. (2021). “Voice Based Detection of Speaker Gender through Co-occurrence Matrix Based Features”, International Conference on Computational Intelligence In Pattern Recognition (CIPR), Springer, India, pp. 697-706.
  7. Banerjee, D., & Ghosal, A. (2021). “A Novel Technique to Utilize Geopolitical Risk as a Factor for Predicting Gold Price”, International Conference on Advanced Computing, Networking, and Informatics (ICACNI), Springer, India, pp. 113-118.
  8. Raja, S., Dutta, S., Banerjee, D., & Ghosal, A. (2021). “Classification of Indian Languages Through Audio”, International Conference on Frontiers in Computing and Systems (COMSYS), Springer, India, pp. 401-409.
  9. Das, S., Dutta, S., & Ghosal, A. (2020). “Stratification of Indian Dance Forms Through Audio Signal”, International Conference on Computational Intelligence In Pattern Recognition (CIPR), Springer, India, pp. 83-92.
  10. Banerjee, D., Dutta, S., & Ghosal, A. (2020). “Automatic Gender Identification Through Speech”, International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer, India, pp. 375-383.
  11. Das, S., Dutta, S., Banerjee, D., & Ghosal, A. (2020). “Classification of Bharatnatyam and Kathak Dance Form through Audio Signal”, International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer, India, pp. 671-679.
  12. Mitra, S., Roy, B., Chakraborty, S., Mukherjee, B., Ghosal, A., Chowdhury, R. (2020). “Facial Emotion Recognition for aid of Social Interactions for Autistic Children”, International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer, India, pp. 339-345.
  13. Banerjee, D., & Ghosal, A. (2020). “Forecasting House Price with an Optimum Set of Features”, International Conference on Computational Intelligence In Pattern Recognition (CIPR), Springer, India, pp. 93-100.
  14. Ghosal, A., Dutta, S., & Banerjee, D. (2020). “Classification of Speech & Song using Co-occurrence Based Approach”, International Conference on Computational Intelligence In Pattern Recognition (CIPR), Springer, IIEST Shibpur, India, pp. 117-125.
  15. Ghosal, A., Pathak, C., Singh, P., & Dutta, S. (2020). “Voice Based Gender Identification Using Co-occurrence Based Features”, International Conference on Computational Intelligence In Pattern Recognition (CIPR), Springer, IIEST Shibpur, India, pp. 947-956.
  16. Ghosal, A., Yasmin, G., & Banerjee, D. (2019). “Differentiation of Speech and Song using Occurrence Pattern of Delta Energy”, International Conference on Soft Computing in Data Analytics (SCDA), Springer, Srikakulam, Andhra Pradesh, India, pp. 779-787.
  17. Yasmin, G., Mullick, O., Ghosal, A., & Das, A. K. (2019). “Gender Recognition inclusive with Trans-Gender from Speech Classification”, International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer, Kolkata, West Bengal, India, pp. 89-98.
  18. Ghosal, A., Dutta, S., & Banerjee, D. (2019). “Stratification of String Instruments using Chroma-based Features”, International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer, Kolkata, West Bengal, India, pp. 181-191.
  19. Banerjee, D., Ghosal, A., & Mukherjee, I. (2019). “Prediction of Gold Price Movement Using Geopolitical Risk as a Factor”, International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer, Kolkata, West Bengal, India, pp. 879-886.
  20. Banerjee, D., Ghosal, A., & Mukherjee, I. (2019). “Prediction of Gold Price Movement Using Discretization Procedure”, International Conference on Computational Intelligence in Data Mining (ICCIDM), Springer, Burla, Odisha, India, pp. 345-356.
  21. Sengupta, S., Yasmin, G., & Ghosal, A. (2019). “Speaker Recognition Using Occurrence Pattern of Speech Signal”, International Symposium on Signal and Image Processing (ISSIP), Springer, Kolkata, West Bengal, India, pp. 207-216.
  22. Dutta, S., & Ghosal, A. (2017). “A Hierarchical Approach for Silence/Speech/Music Classification”, International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), IEEE, Chennai, Tamil Nadu, India, pp. 3001-3005.
  23. Yasmin, G., Dutta, S., & Ghosal, A. (2017), “Discrimination of Male and Female Voice Using Occurrence Pattern of Spectral Flux”, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), IEEE, Chemperi, Kerala, India, pp. 576-581.
  24. Yasmin, G., Das, A. K., & Ghosal, A. (2017). “A Hierarchical Stratagem for Rice Leaf Disease Distinction”, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), IEEE, Chemperi, Kerala, India, pp. 1177-1183.
  25. Sengupta, S., Yasmin, G., & Ghosal, A. (2017). “Classification of male and female speech using perceptual features”, International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, IIT Delhi, India, pp. 1-7.
  26. Ghosal, A., & Dutta, S. (2016). “Speech/Music Discrimination Using Perceptual Feature”, International Conference on Computational Science and Engineering (ICCSE), IEEE, Kolkata, West Bengal, India, pp. 71-76.
  27. Ghosal, A., & Dutta, S. (2014). “Automatic Male-Female Voice Discrimination”, International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), IEEE, Ghaziabad, Uttar Pradesh, India, pp. 731-735.
  28. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2014). “Genre Based Classification of Song Using Perceptual Features”, International Conference on Advanced Computing, Networking, and Informatics (ICACNI), Springer, India, pp. 267-276.
  29. Dutta, S., Ghosal, A., & Saha, S. K. (2012). “Speech-Music Classification Using Delta-Energy and RANSAC”, International Conference on Computer Application (ICCA), ASDF, India, pp. 139-142.
  30. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2012). “Song/Instrumental Classification using Spectrogram Based Contextual Features”, CUBE International Information Technology Conference & Exhibition, ACM, Pune, Maharashtra, India, pp. 21-25.
  31. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2011). “Song Classification: Classical and Non-classical Discrimination using MFCC Co-occurrence Based Features”, International Conference on Signal Processing, Image Processing and Pattern Recognition, Springer, Korea, pp. 179-185.
  32. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2011). “Automatic Identification of Instrument Type in Music Signal Using Wavelet and MFCC”, International Conference on Information Processing (ICIP), Springer, Bengaluru, Karnataka, India, pp. 560-565.
  33. Ghosal, A., Chakraborty, R., Dhara, B. C., & Saha, S. K. (2011). “Instrumental/Song Classification of Music Signal using RANSAC”, International Conference on Electronics Computer Technology (ICECT), IEEE, Kanyakumari, Tamil Nadu, India, Vol. 1, pp. 269-272.
  34. Ghosal, A., Dhara, B. C., & Saha, S. K. (2011). “Speech/Music Classification using Empirical Mode Decomposition”, International Conference on Emerging Applications of Information Technology (EAIT), IEEE, Kolkata, West Bengal, India, pp. 49-52.
  35. Ghosal, A., Chakraborty, R., Chakraborty, R., Haty, S., Dhara, B. C., & Saha, S. K. (2009). “Speech/Music Classification Using Occurrence Pattern of ZCR and STE”, International Conference on Intelligent Information Technology Application (IITA), IEEE, Nanchang, China, Vol. 3, pp. 435-438.

Member: Nikhil Bharat Shiksha Parisad (Fellowship ID: NBSPIN0821739)

Member:Machine Intelligence Research Labs (MIR Labs), USA

Member: The Indian Society for Technical Education (ISTE) [Life Member (Membership No. LM 123280)]

 

 

Participated

  1. NPTEL SPoC Workshop (East Zone) organized by IIT Kharagpur (August, 2023)
  2. 5-Day Faculty Development Program (Hybrid Mode) on “Data Security and IOT” organized by R&D Cell of STCET (July, 2022)
  3. 5-Day Faculty Development Program on “How to Write Good Research Papers” organized by Eminent College of Management and Technology in collaboration with International Knowledge Research Foundation (June, 2023)
  4. Online FDP on “Introduction to Speech Processing and its Applications using AI-ML (ISPA)- 2021” organized by Centre for Development of Advanced Computing (CDAC), Kolkata (ATAL FDP by AICTE) [Oct 2021]
  5. Online FDP on “Artificial Intelligence impacts on Telemedicine” organized by Gokaraju Rangaraju Institute of Engineering and Technology (ATAL FDP by AICTE) [Aug 2021]
  6. Online Orientation Training Programme for Mentors organized by NITTTR, Chennai (July 2021)
  7. NPTEL FDP on “Intellectual Property Rights and Competition Law” (July – Sept, 2021)
  8. FDP on “Entrepreneurship, Innovation and Capital Venture (EICV 2021)” organized by Jadavpur University
  9. NPTEL FDP on “Entrepreneurship and IP Strategy” (Sep – Nov, 2020)
  10. Online FDP on “Internet of Things (IoT)” organized by Central University of Jharkhand (ATAL FDP by AICTE) (Sept 2020)
  11. FDP on “Internet of Things for Intelligent Systems” organized by NIT Warangal (July 2020)
  12. NPTEL FDP on “Introduction to Research” (Aug – Oct, 2019)
  13. NPTEL FDP on “Programming in Java” (Jan – Apr 2019)

 

UG Project Guided

  1. “Machine Learning Based Emosic Therapy” – 4 Under Graduate Students (AY 2022-23)
  2. “Indian Song Genre Detection Using Pattern Recognition” – 4 Under Graduate Students (AY 2022-23)
  3. “News Deck App” – 4 Under Graduate Students (AY 2021-22) [Co-Guide]
  4. “Audio Processing using Pattern Recognition for Music Genre Classification” – 4 Under Graduate Students (AY 2021-22)
  5. “Bird Call Recognition Using Pattern Recognition” – 4 Under Graduate Students (AY 2021-22)
  6. “Text Identification from Born Digital Images through Machine Learning /Deep Learning Approaches” – 4 Under Graduate Students (AY 2021-22) [Co-Guide]
  7. “Emotion Detection Using Pattern Recognition” – 3 Under Graduate Students (AY 2020-21)
  8. “Music Genre Classification” – 2 Under Graduate Students (AY 2020-21)
  9. “Marks Evaluation System” – 3 Under Graduate Students (AY 2020-21) [Co-Guide]
  10. “Dialect Identification of Bengali language of West Bengal” – 4 Under Graduate Students (AY 2019-20)“Identification of Indian Classical Dance Forms based on Audio using Pattern Recognition” – 1 Under Graduate Student (AY 2018-19)
  11. “Textual Data Hiding Within An Audio File Using LSB Audio Steganography” – 1 Under Graduate Student (AY 2018-19)
  12. “Language Identification using Perceptual Features” – 3 Under Graduate Students (AY 2017-18)
  13. “Voice Based Gender Separation Using Co-occurrence Based Features” – 3 Under Graduate Students (AY 2017-18)
  14. “Male – Female Voice Separation using Perceptual Features” – 1 Under Graduate Student (AY 2016-17)
  1. Organizing Special Session & Session Chair in 3rd International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer
  2. Organizing Special Session & Session Chair 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
  3. Member of Program Monitoring Committee of AICTE Sponsored 6-Days Online STTP on Machine Learning, Pattern Recognition and their Applications
  4. Organized Special Session & Session Chair of 2nd International Conference on Emerging Technologies In Data Mining and Information Security (IEMIS), Springer
  5. Reviewer of EURASIP Journal on Audio, Speech, and Music Processing (SCIE & Scopus Indexed) since 2017
  6. Reviewer of Journal of King Saud University – Computer and Information Sciences (Scopus Indexed) since 2019
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