Dr. Sachin Taran

ECE

Phone:+91-9926675319
Email: sachintaran@dtu.ac.in, taransachin2@gmail.com

Qualifications

BE, ME, Ph.D., Postdoc

Areas of Interest

Artificial intelligence, Adaptive signal processing, and Non-stationary signal analysis and detection (Biomedical, Speech, Seismic, and Fault etc.)

Summary    

Motivated Teaching Professional with approximately Twelve Years teaching and research experience in Electronics and Communication Engineering.

Academic and Research Qualifications

  • Post-doctorate, School of Electrical and Electronics Engineering, Nanyang Technological University (NTU) Singapore, (2019-2020).
  • Ph.D. (Adaptive Framework for Analysis and Classification of Electroencephalogram Signals), Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Jabalpur, Madhya Pradesh, India (2019).
  • ME (Digital Communication), Institute of Engineering and Technology (IET) DAVV, Indore, Madhya Pradesh, India with 74.86% (2015).             
  • BE (Electronics and Communication), Samrat Ashok Technological Institute (SATI), Vidisha, Madhya Pradesh, India with 74.53% (2008).             
  • Higher secondary, Boy’s Higher Secondary Sironj, with 82.2% (2003).
  • High school, Saraswati Sishu Mandir Sironj, with 65% (2001).

UGC-NET and GATE

  • Qualified, UGC NET (Electronic Science) with 63.43% (2015).
  • Qualified, GATE (Electronics and Communication) Seven Times (2009-2015) with Good Scores.

Research Interests

Artificial intelligence, Adaptive signal processing, Non-stationary signal analysis and detection (Biomedical, Speech, Seismic, and Fault etc.), and optical imaging.

Employment History

  • Assistant Professor, Department of Electronics and Communication Engineering, Delhi Technological University (DTU), Delhi, 06 July 2020 to continue.
  • Research Fellow, School of Electrical and Electronics Engineering, Nanyang Technological University (NTU) Singapore (2019-2020).
  • Assistant Professor, Department of Electronics and Communication Engineering, Medicaps University, Indore (2010-2015).
  • Assistant Professor, Department of Electronics and Communication Engineering, Sanghvi Innovative Academy, Indore (2009-2010).
  • Lecturer, Lakshmi Narain College of Technology, Indore (2008-2009).

Student Supervision

Ph.D. Scholars: 06

  • Signal Processing and Machine Learning based Algorithms for Analysis of Motor Imagery Electroencephalogram signals in Brain Computer Interface, (Mr. Vikram Singh Kardam (2k21/PHDEC/504)
  • Speech based Emotion Recognition Using Non-Stationary Decompositions and Optimal Features, Mr.  Ravi (2k20/PHDEC/12) (Thesis Submitted)
  • Development of Optimal Algorithms for Emotion Recognition, Mr. Amit Kumar Dwivedi (2k20/PHDEC/512)
  • Development of Efficient Algorithms for Molecular Communication, Mr. Naveen Saini
  • A Secured Framework for Software Defined Radio Communication
  • Design of IOT based Modern Lock System

M.Tech: 03

  • Mental States and Alcoholism Detection Using Non-Stationary Decompositions for EEG Signals (2020-22), Mr. P V keshava krishna (2K20/SPD/08)
  • Mechanical Fault Analysis and Detection Using Non-Stationary Decomposition for Vibration Signals (2021-23), Ms. Sonalika Bhandari ((2K21/SPD/31)
  • A 12-Bit 1.2-GS/s Current-Steering DAC in 45-nm CMOS Technology (2022-24), Mr. Tarun Gupta (2K22/VLS/22)

B. Tech:

  • Sleep Apnea Detection Using Electrocardiogram Signal Input to FAWT And Optimize Ensemble Classifier (Himanshu Pant, Hitesh Kumar Dhanda 2021)
  • Classifying Human Attention States via EEG-based BCI using Singular Spectrum Analysis (Ankit Baisoya, Ujjwal Kumar Upadhyay, Vansh Singh 2022)
  • Wavelet Decomposition Based Features for Classification of Normal and Sleep Apnea Electrocardiogram Signal (Nitesh Roy, Radhika Soni 2022)
  • Fused Spectrogram Classification Using PCA and CNN for Machinery Fault Diagnosis (Harshit Rajput, Hrishabh Palsra, Jangid Abhishek Vijay 2023)
  • Simulation of an Elevator Controller with Weight Sensing Mechanism using VHDL (Rahul Sharma, Saarthak Shakargaye 2023)

Sponsored Project (Approximately 7Cr)

  • AICTE IDEA Lab Project of amount 100 Lakh. (Co-coordinator)
  • Enhanced Data Transmission Security in Software Defined Radios, SAG DRDO of amount 49,83,120/-  
  • To set up DTU Innovation and Incubation Foundation - at Delhi Technological University, Delhi has received Rs.499.30 lakh support under NIDHI i- TBI program of DST. (Co-PI)
  • Corporate Social Responsibility (CSR) grant of 36 Lakh with project titled as “COHORT 2 OF THE CIENA SPACE PROGRAM BY NASSCOM FOUNDATION”. (Co-PI)

Research Publications

International Journals

  1. Kardam, Vikram Singh, Sachin Taran, and Anukul Pandey (2025). "BSPKTM-SIFE-WST: bispectrum based channel selection using set-based-integer-coded fuzzy granular evolutionary algorithm and wavelet scattering transform for motor imagery EEG classification." Signal, Image and Video Processing 19, no. 4: 1-16.
  2. Amit Kumar Dwivedi, Om Prakash Verma, & Sachin Taran (2024). Adaptive Flexible Analytic Wavelet Transform for EEG-Based Emotion Recognition. IEEE Sensors Journal.
  3. Tarun Gupta, Sonalika Bhandari, Sachin Taran, and Rahul Kumar Gupta, “A 12-bit 1.2GS/s Current-Steering DAC in 45nm CMOS Technology”, Journal of Circuits, Systems and Computers (2024), https://doi.org/10.1142/S0218126624502566, ISSN (online): 1793-6454
  4. Ravi, Sachin Taran, "A Novel Decomposition based Architecture for Multilingual Speech Emotion Recognition” Neural Computing and Applications, (2024). 1-13. Impact Factor: 6, H-index: 57, ISSN No.: 0941-0643
  5. Ravi, Sachin Taran, "A nonlinear feature extraction approach for speech emotion recognition using VMD and TKEO." Applied Acoustics 214 (2023): 109667. Impact Factor: 3.4, ISSN No.: 0003-682X.
  6. Gupta, Rahul Kumar, Mahipal Singh Choudhry, Varun Saxena, and Sachin Taran. "A Single MOS-Memristor Emulator Circuit." Circuits, Systems, and Signal Processing (2024): 43(1), 54-73. Impact Factor: 2.3, ISSN No.: 1531-5878.
  7. Jaideep Kala, Sachin Taran, and Anukul Pandey. "A Dual-Staged heterogeneous stacked ensemble model for gender recognition using speech signal." Applied Acoustics 205 (2023): 109271. Impact Factor: 3.4, ISSN No.: 0003-682X.
  8. Dhruv Sharma, Sachin Taran, and Anukul Pandey. "A fusion way of feature extraction for automatic categorization of music genres." Multimedia Tools and Applications (2023): 82(16), 25015-25038. Impact Factor: 3.1 Electronic ISSN: 1573-7721
  9. Vikram Singh Kardam, Sachin Taran, and Anukul Pandey. "Motor imagery tasks-based electroencephalogram signals classification using data-driven features." Neuroscience Informatics (2023): 100128. ISSN: 2772-5286
  10. Sachin Taran, Varun Bajaj, GR Sinha, Kemal Polat, “Detection of sleep apnea events using electroencephalogram signals”. Applied Acoustics, (2021), 181, 108137. Impact Factor: 2.440, ISSN No.: 0003-682X.
  11. Himanshu Pant, Hitesh Kumar Dhanda, and Sachin Taran. "Sleep apnea detection using electrocardiogram signal input to FAWT and optimize ensemble classifier." Measurement (2021): 110485. Impact Factor: 2.791, H-index: 70, ISSN No.: 0263-2241
  12. Ankit Dutta, Subnear Kour, and Sachin Taran. “Automatic Drowsiness Detection using Electroencephalogram Signal”. Electronics Letters, (2020). Impact Factor:1.343, H-index: 137, ISSN No.: 1350-911X
  13. Sachin Taran and Varun Bajaj. “Sleep Apnea Detection using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals”. IEEE Transactions on Instrumentation & Measurement, 69 (2), (2020):  608 - 616. Impact Factor: 3.067, H-index: 100, ISSN No.:0018-9456
  14. Sachin Taran, Prakash Chandra Sharma, and Varun Bajaj. “Automatic sleep stages classification using optimize flexible analytic wavelet transform”. Knowledge-Based Systems, 192, 2020: 105367. Impact Factor: 5.101, H-index: 94, ISSN No.: 0950-7051
  15. Sachin Taran and Varun Bajaj. “Drowsiness Detection using Adaptive Hermite Decomposition and Extreme Learning Machine for Electroencephalogram Signals”. IEEE Sensors Journal 18, no. 21 (2018): 8855-8862. Impact Factor: 3.076, H-index: 100, ISSN No.: 1530-437X
  16. Sachin Taran and Varun Bajaj. “Emotion Recognition from Single-Channel EEG Signals Using A Two-Stage Correlation and Instantaneous Frequency-based Filtering Method”. Computer Methods and Programs in Biomedicine, 173(2019):157-165. Impact Factor: 3.424, H-index: 83, ISSN No.:0169-2607
  17. Sachin Taran, Varun Bajaj, Dheeraj Sharma, Siuly Siuly, and Abdulkadir Sengur. “Features Based on Analytic IMF for Classifying Motor Imagery EEG Signals in BCI Applications”. Measurement 116, (2018): 68-76. Impact Factor: 2.791, H-index: 70, ISSN No.: 0263-2241
  18. Sachin Taran and Varun Bajaj. “Motor Imagery Tasks-based EEG Signals Classification using Tunable-Q Wavelet Transform”. Neural Computing and Applications, (2019): no 31(11), 6925-6932. Impact Factor: 4.664, H-index: 57, ISSN No.: 0941-0643
  19. Sachin Taran, Varun Bajaj, and Dheeraj Sharma. “Robust Hermite Decomposition Algorithm for Classification of Sleep Apnea EEG Signals”. Electronics Letters 53, no. 17 (2017): 1182-1184. Impact Factor:1.343, H-index: 137, ISSN No.: 1350-911X
  20. Sachin Taran and Varun Bajaj. “Rhythm-based Identification of Alcohol EEG Signals”. IET Science, Measurement & Technology 12, no. 3 (2017): 343-349. Impact Factor: 1.895, H-index: 43, ISSN No.:1751-8830
  21. Shalu Chaudhary, Sachin Taran, and Varun Bajaj. “Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification”. IEEE Sensors Journal, 19, no. 12 (2019): 4494-4500. Impact Factor: 3.076, H-index: 100,ISSN No.: 1530-437X
  22. Sravani Chada, Sachin Taran, et al.. “Flexible Analytic Wavelet Transform Based Features For Physical Action Identification Using SEMG Signals”. Innovation and Research in BioMedical engineering, (2019/7). Impact Factor:1.069, H-index: -, ISSN No.:1959-0318
  23. Shalu Chaudhary, Sachin Taran, and Varun Bajaj,SiulySiuly. “A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications”. Computer Methods and Programs in Biomedicine, (2020): 105325.Impact Factor: 3.424, H-index: 83, ISSN No.: 0169-2607
  24. Anala Hari Krishna, et al., and Sachin Taran, “Emotion Classification using EEG Signals Based on Tunable-Q Wavelet Transform”. IET Science, Measurement & Technology, 13 (3), (2018): 375-380.Impact Factor: 1.895, H-index: 43, ISSN No.:1751-8830
  25. Saad Ahmad, Shubham Agrawal, Samta Joshi, Sachin Taran, et al.. “Environmental sound classification using optimum allocation sampling based empirical mode decomposition”. Physica A: Statistical Mechanics and its Applications, (2019): 122613. Impact Factor: 2.500, H-index: 141, ISSN No.: 0378-4371
  26. Fatih Demir, Varun Bajaj, Melih C Ince, Sachin Taran, Abdulkadir Åžengür “Surface EMG signals and deep transfer learning-based physical action classification”. Neural Computing and Applications, (2019): 1-8. Impact Factor: 4.664, H-index:67, ISSN No.: 0941-0643
  27. Varun Bajaj, Sachin Taran, Smith K Khare, Abdulkadir Sengur, “Feature extraction method for classification of alertness and drowsiness states EEG signals”. Applied Acoustics, (2020), 163, 107224. Impact Factor: 2.297,  ISSN No.: 0003-682X.
  28. Sachin Taran and Varun Bajaj, and Siuly Siuly. "An optimum allocation sampling-based feature extraction scheme for distinguishing seizure and seizure-free EEG signals." Health information science and systems 5, no. 1 (2017): 7. ISSN No.: 2047-2501
  29. Sravani Chada, Sachin Taran, Varun Bajaj. “An efficient approach for physical actions classification using surface EMG signals”. ”. Health Information Science and Systems 8, no. 1 (2020): 3. ISSN No.: 2047-2501
  30. Nagineni, Sukumar, Sachin Taran, and Varun Bajaj. "Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals." Health information science and systems 6, no. 1 (2018): 13. ISSN No.: 2047-2501
  31. Varun Bajaj, Sachin Taran, and Abdulkadir Sengur. "Emotion classification using flexible analytic wavelet transform for electroencephalogram signals." Health information science and systems 6, no. 1 (2018): 12. ISSN No.: 2047-2501
  32. Sachin Taran and Varun Bajaj. "Clustering Variational Mode Decomposition for Identification of Focal EEG Signals." IEEE Sensors Letters 2, no. 4 (2018): 1-4. ISSN No.: 2475-1472
  33. Varun Bajaj, Sachin Taran, and et al. “Robust Approach based on Convolutional Neural Networks for Identification of Focal EEG”. IEEE Sensors Letters3, no. 5 (2019): 1-4. ISSN No.: 2475-1472
  34. Sachin Taran and Dhiraj Nitnaware, “Performance Evaluation of 802.15. 3a UWB Channel Model with Antipodal, Orthogonal and DPSK Modulation Scheme”. IJ Wireless and Microwave Technologies 1, (2016): 34-42. ISSN No.: 2076-1449
  35. Sachin Taran and Dhiraj Nitnaware, “The Performance Evaluation of 802.15.3a UWB Channel Model with Different Rake Receiver Finger of Maximal Ratio Combiner Scheme”. International Journal of Computer Applications 122, no.14 (2015): pp 32-37, ISBN: 973-93-80888-13-7. ISSN No.:0975 - 8887

International Conferences

  1. Dwivedi, Amit Kumar, Om Prakash Verma, and Sachin Taran. "EEG-Based Mental States Prediction of Driver." In 2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 000429-000434. IEEE, 2025.
  2. Dwivedi, Amit Kumar, Om Prakash Verma, and Sachin Taran. "EEG-Based Emotion Recognition Using Optimum Number of Channels." In 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), pp. 1-6. IEEE, 2024.
  3. Amit Kumar Dwivedi, Om Prakash Verma, and Sachin Taran. "EEG-Based Emotion Recognition Using Optimized Deep-Learning Techniques." In 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 372-377. IEEE, 2024.
  4. Ravi and Sachin Taran "Emotion Recognition in Speech Using MFCC and Energy Based Ratio Features ", In Signal Processing & Integrated Networks: Proceedings of Eleventh SPIN-2024. Noida, India. 21-22 March 2024.
  5. Harshit Rajput, Hrishabh Palsra, Jangid Abhishek Vijay, Sachin Taran “Combined PCA-CNN Method for Enhanced Machinery Fault Diagnosis through Fused Spectrogram Analysis” presented at the 4th International Conference on Data Analytics and Management (ICDAM-2023). 23rd – 24th June 2023, volume 788, (pp. 141-149). Singapore: Springer Nature Singapore.
  6. Sonalika Bhandari, Sachin Taran, Varun Sangwan "An Intelligent System for Bearing Fault Identification based on Gramian Multi-Resolution Dynamic Mode Decomposition." In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), (pp. 715-720), IEEE, 2023. ISSN: 2688-769X. 23 March 2023
  7. Sonalika Bhandari, Sachin Taran, Varun Sangwan "Rotor Imbalance Severity Detection using Maximum Overlap Discrete Wavelet Transform." In International Conference on Women Researchers in Electronics and Computing, volume 1095 (pp. 73-84). Singapore: Springer Nature Singapore. 21-23 April 2023, (Presented)
  8. Rahul Sharma, Saarthak Shakargaye, Rohit Kumar, Sachin Taran, "Simulation of an Elevator Controller with Weight Sensing mechanism using VHDL," 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, pp. 170-173, IEEE, 2023. 11-13, April 2023. (Presented)
  9. P V keshava krishna and Sachin Taran "Normal and Alcohol EEG Signals Classification Using Singular Spectrum Analysis", In Advances in Signal Processing, Embedded Systems and IoT: Proceedings of Seventh ICMEET-2022, volume 992 (pp. 155-163). Singapore: Springer Nature Singapore. 22-23 July 2022
  10. R. K. Gupta, M S Choudhary, Sachin Taran and V Saxena, “A Passive Simple Grounded MOS- Memristor Emulator” IEEE CONECCT 2022, 08th -10th July, IEEE Bangalore, India, 2022.
  11. Ravi, Sachin Taran, "Emotion Recognition Using Rational Dilation Wavelet Transform For Speech Signal." In 2021 7th International Conference on Signal Processing and Communication (ICSC), pp. 156-160. IEEE, 2021. 25 November 2021.
  12. Sachin Taran, and Varun Bajaj. “Drowsiness Detection using Instantaneous Frequency based Rhythms Separation for EEG Signals.", 2nd International Conference on Information and Communication Technology (CICT 2018), IIITDM Jabalpur, India, pp. 1-6. IEEE, 2018. ISBN:978-1-5386-8215-9, 26-28 October 2022. (Presented)
  13. Anugya Pareta, Sachin Taran, Varun Bajaj, and Abdulkadir Sengur. “Automatic Environment Sounds Classification Using Optimum Allocation Sampling.” International Conference on Robotics and Automation Engineering (ICRAE), Singapore, Pages 69-73. IEEE, 2019. 22-24 November 2019
  14. Nagineni Sukumar, Sachin Taran, Varun Bajaj.” Physical actions classification of surface EMG signals using VMD.” International Conference on Communication and Signal Processing, ICCSP 18, Tamil Nadu India, Pages 715-719. IEEE, 2018. 03-05 April 2018
  15. Sachin Taran, Varun Bajaj, and Dheeraj Sharma. "TEO separated AM-FM components for identification of apnea EEG signals." 2nd International Conference on Signal and Image Processing (ICSIP 2017), NTU Singapore, pp. 391-395. IEEE, 2017. ISBN:978-1-5386-0969-9, Date: 04-06 August 2017
  16. Yadav, Pooja, Anchala Priya, Sachin Taran, Varun Bajaj, and Dheeraj Sharma. "Discrimination of alcohol and normal EEG signal using EMD." 4th International Conference on Signal Processing and Integrated Networks (SPIN), 2017, Noida, India, pp. 410-413. IEEE, 2017. 02-03 February 2017
  17. Sachin Taran, Ravish Kumar Singh, and Dhiraj Nitnaware. "Effect of shadowing on 802.15. 3a UWB channel model." International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15), 2015, Bangalore, India, pp. 1-4. IEEE, 2015. 01 January 2015

Book Chapters

  1. Tyagi, Tanishqa, Anukul Pandey, Sachin Taran, and Amit Kumar Dwivedi. "Subject-independent emotion classification using galvanic skin response and electroencephalogram data." In Artificial Intelligence: A tool for effective diagnostics, pp. 12-1. Bristol, UK: IOP Publishing, 2024.
  2. Sachdeva, Bhawna, Jeebananda Panda, and Sachin Taran. "Recent advancements in emerging technology for healthcare management systems." In Artificial Intelligence: A tool for effective diagnostics, pp. 2-1. Bristol, UK: IOP Publishing, 2024.
  3. Baisoya, Ankit, Ujjwal Kumar Upadhyay, Vansh Singh, Sachin Taran, and Vikram Singh Kardam. "Classifying human attention states in EEG-based brain–computer interfacing using singular spectrum analysis." In Artificial Intelligence: A tool for effective diagnostics, pp. 15-1. Bristol, UK: IOP Publishing, 2024.
  4. Hosain, Mehrab, Anukul Pandey, Sachin Taran, Ravi, Asmar Hafeez, and Nikhil. "Speech emotion recognition using empirical wavelet transform and cubic support vector machine." In Artificial Intelligence: A tool for effective diagnostics, pp. 13-1. Bristol, UK: IOP Publishing, 2024.
  5. Khare, Smith K., Ankush Jamthikar, and Sachin Taran. "Introduction to AI-driven diagnostics and human–machine interfaces." In Artificial Intelligence: A tool for effective diagnostics, pp. 1-1. Bristol, UK: IOP Publishing, 2024.
  6. Sachin Taran, Smith K Khare, P V Keshava Krishna and Vikram Singh Kardam. " Focal and non-focal EEG signal classification using the Wigner–Ville distribution and deep feature extraction." Data Analytics for Intelligent Systems: Techniques and Solutions, Feb 2024, (pp. 2-1) Bristol, UK: IOP Publishing, Online ISBN: 978-0-7503-3411-2.
  7. Sukumar Nagineni, Sachin Taran and Kemal Polat. " Variational mode decomposition-based entropy features for classification of myopathy, neuropathy, and normal EMG signals" Data Analytics for Intelligent Systems: Techniques and Solutions, Feb 2024, (pp. 4-1) Bristol, UK: IOP Publishing, Online ISBN: 978-0-7503-3411-2. 
  8. Sachin Taran, Smith K. Khare, Varun Bajaj, and G. R. Sinha. " Classification of Motor-Imagery Tasks from EEG Signals using Rational Dilation Wavelet Transform." Modelling and Analysis of Active Biopotential Signals in Healthcare-Volume 2, 2020, IOP Publishing, Online ISBN: 978-0-7503-3411-2.
  9. Sachin Taran, Smith K. Khare, Ravi, Varun Bajaj, and G. R. Sinha. " Classification of Alertness and Drowsiness States using the Complex Wavelet Transform based Approach for EEG Records." CRC Press book on “Analysis of medical modalities for improved diagnosis in modern healthcare”, 2020. eBook ISBN: 9781003146810
  10. Smith Khare, Varun Bajaj, Sachin Taran, and G. R. Sinha. “Multiclass sleep stage classification using artificial intelligence-based time-frequency distribution and CNN. In Artificial Intelligence-Based Brain-Computer Interface (pp. 1-21). Academic Press, 2022. ISBN: 978-0-323-91197-9

Edited Books

  • Sachin Taran, Chhavi Dhiman, and Manjeet Kumar “Data Analytics for Intelligent Systems: Techniques and Solutions”, IOP Publishing Ltd 2023, Online ISBN: 978-0-7503-5417-2.
  • Khare, Smith K., Sachin Taran, and Ankush D. Jamthikar. "Artificial Intelligence: A tool for effective diagnostics." IOP Publishing Ltd (2024). Online ISBN: 978-0-7503-5964-1 • Print ISBN: 978-0-7503-5962-7

Google Scholar https://scholar.google.co.in/citationsuser=4v_5j2sAAAAJ&hl=en

        Citations : 1708

        h-index : 22

        i10-index : 30

Honors/Awards/Recognition/Talks

  • Awarded the Best paper in the International Conference ‘WREC’ organized by Department of Electronics and Communication Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, India, during April 21-23, 2023.
  • Commendable Research Award, at Delhi Technological University (DTU), Delhi (2023).
  • Commendable Research Award, at Delhi Technological University (DTU), Delhi (2022).
  • Research excellence award, at Delhi Technological University (DTU), Delhi (2021).
  • Research excellence award, at Delhi Technological University (DTU), Delhi (2020).
  • Chaired Technical Session-19 as Session Chair Organized at 2021 International Conference on Computational Performance Evaluation (ComPE) organized by department of Biomedical Engineering, North-Eastern Hill University (NEHU), Shillong, Meghalaya, India during 1st – 3rd December 2021.
  • Chaired the Technical Session on A Track: Advances in Soft Computing for Computer Vision and Pattern Recognition in SoCTA-2021 organized at IIIT Kota.
  • Deliver an expert lecture titled “Adaptive signal processing for non-stationary signal analysis and classification” in One-Week Online Faculty Development Program on the theme of “Machine Learning Applications in Signal Processing and Wireless Networks” held on December 20th-24th, 2021, organized by Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India.
  • Program committee member of HISS 2021 (10th International Conference on Health Information Systems).
  • Served as reviewer of innovative ideas received under the INSPIRE Awards-MANAK for the year 2021-22.
  • The outstanding reviewing contribution to 6th International Conference on Soft Computing: Theories and Applications (SoCTA-2021) organized at IIIT Kota.
  • Review Editor for Frontiers in signal processing.
  • Journal Reviewers, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Signal Processing Letters, IEEE Sensors Letters, Electronics Letters, IEEE Access, Computer Methods in Biomechanics and Biomedical Engineering.

Short Term Courses/Workshop/FDP Organized  

  • Organized an Idea Competition “Innovations Showcase Linking with Innovation Ambassadors” in DTU Innovation and Incubation Foundation collaboration with IIC-DTU dated 18.02.2025 to 20.02.2025.
  • Organized a webinar on “S32 Automotive Microcontrollers” in Electronics and Communication Department DTU dated 16.01.2024 under the Industry Connect Program of Vikshit Bharat.
  • Coordinated Two Week Capacity Building Program for University Incubator by PUM Netherlands Expert from 20th to 30th Nov 2023.
  • Organized one-week Short Term Training Program (STTP) on “Understand the Challenges Faced by Startups & Opportunities from Start to Scale” (22nd August to 1st September 2023) at Delhi Technological University (DTU), Delhi in collaboration with DTU-IIF. 
  • Organized a webinar on “National Technology Day” (11th May 2023) at Delhi Technological University (DTU), Delhi in collaboration with IIC-DTU and DTU-IIF.                       
  • Organized a webinar on “Quantum Computing” (18th April 2023) at Delhi Technological University (DTU), Delhi in collaboration with NXP Semiconductor.                      
  • Organize a promotional event about Entrepreneurship to create ecosystem of Entrepreneurship in the university.
  • Organized one day workshop on “Entrepreneurial Ecosystem and Start-up” (30th September 2021) at Delhi Technological University (DTU), Delhi in collaboration of DTU-IIF and DTU-IIC. 
  • Organize an Entrepreneurship event “UDYAMITA” in January 2023, under DTU-IIF.                     
  • Organized “Inter/Intra Institutional Idea Competition” (17th November 2022) at Delhi Technological University (DTU), Delhi in collaboration of DTU-IIF and DTU-IIC.
  • Coordinated “IEEE Delhi Section Students – Yong Professionals – Women in Engineering Congress 22” during 17-18th September.
  • Organized a One-Week Online Faculty Development Program on the theme of “Machine Learning Applications in Signal Processing and Wireless Networks” held on December 20th to 24th, 2021, organized by Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India.
  • Coordinated two days IEEE Workshop on “Internet of Things (IOT): The Future Connectivity (28th to 29th October 2021)” jointly organized by IEEE-SA and Department of Electronics and Communication Engineering, Delhi Technological University, Delhi

Short Term Courses/Workshop Training/Webinar Attended

  • Completed Innovation Ambassador training (Foundation Level, Total 16 Sessions of 30 Contact hours) conducted by MoE's Innovation Cell & AICTE during the period from 30th June - 30th July 2021 in online mode.
  • Participated in Reginal Meet “Institutions Innovation Council MoE’s Innovation Cell” held on 26th July 2022 at Chandigarh University, Chandigarh. 
  • Participated in one-week International FDP on “Computational Techniques for Electromagnetics” Organized by ECE, DTU, India in collaboration with Xiangshan Laboratory, Zhongshan Institute of CUST, China and ARK Infosolutions Pvt. Ltd, India during December 27-31, 2021.
  • Participated in one-week FDP on “Wireless Sensors Networks and IOT” organized by Delhi Technological University and ATAL Academy.  
  • Participated in one-week online Short-Term Training Program on “Recent Advances and Challenges in Computer Vision” held from 03rd Dec to 07th Dec, 2021 organized by Department of Electronics & Communication Engineering, Delhi Technological University, Delhi.
  • Participated in a one-week online Indo-Spanish workshop on “Fundamentals of Medical Imaging” organized by department of Computer Science and Engineering, PDPM, IIITDM, Jabalpur during 27th September to 2nd October 2021.
  • Participated in “One-day webinar on National Education Day” organized by Human Resource Development Centre, DTU Delhi.
  • Participated in one day workshop on “Innovation And Startup Ecosystem Enablers From Region/ State/ National Level” held on June 23, 2021 organized by Department of Electronics & Communication Engineering, Delhi Technological University, Delhi.
  • Faculty Development Program on “Nascent Methodologies, Challenges and Realms of Research” held from 03 to 07 October 2020 organized by Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India
  • Three-days Design Workshop (2017) Organized at PDPM IIITDM Jabalpur.
  • Two-week ISTE Workshop on Basic Electronics Conducted by IIT Bombay.                         
  • Two-week ISTE Workshop on Control System Conducted by IIT Kanpur.                          
  • Mission 10X Workshop Conducted by Wipro.
  • Short Training on "Television Broadcasting" with Doordarshan.
  • Major Training on “Fundamental of Communication from Basic to Advance using MATLAB” with Samrat Ashok Technological Institute Vidisha.

Institutional Governance responsibilities

  • Coordinator, Delhi Technological University-Institute Innovation Foundation (DTU-IIF) from 21-06-2021.
  • Co-Convenor of Institute Innovation Council (IIC), DTU to plan and coordinate IIC activities in the university as per the Ministry of Education (MoE) mandate from 13-09-2022.
  • Member of the Core Committee for Conduct of Orientation Program is held from 31 July 2023 to August 4, 2023.
  • Criterion-1 Member Secretary, for preparing and uploading AQAR A.Y (2022-23) dated 21.06.2023.
  • Member Secretary, for filling Annual Quality Assurance Report (AQAR), AY (2021-22).
  • Member Secretary, Re-assessment of NAAC Accreditation.
  • Member Secretary, for filling Annual Quality Assurance Report (AQAR), AY (2020-21).
  • Member Secretary of a committee for Quarterly Performance Review of start-up companies incubated at DTU-IIF.
  • Member Secretary, of a committee for implementing “DTU Innovation and Startup Policy for Students and Faculty” in the university (2.04.2023 onwards).
  • Pannel member for conducting interview for USIP Interns (2022-23).
  • Panelist for the evaluation of course Entrepreneurship Exploration (FEC51).
  • Member of Departmental Purchase Committee (DPC), DTU-IIF.
  • Member of a committee to formulate the Innovation and Startup Policy for students and faculty at university level.
  • Member, for the filling AQAR of NAAC, AY 2018-19 and 2019-2020.
  • Expert within the Department of ECE, DTU for Comprehensive Examination of a PHD student.
  • Coordinator, of IQAC and ISO Audit (2021-22) of ECE department.
  • Member, of Internal Academic and ISO Audit (2019-20) committee of ECE department.
  • Coordinator, for involving in community services through center for extension and filed outreach, DTU and conduction and evaluation of course namely, community Engagement mentoring school students (MSS).
  • Coordinator, for guiding and deciding the MOOC courses lists for Students (2020-21) at department level.
  • Member, MOOC Course committee (2021-22) at department level.
  • Member, conduction of NBA visit in ECE department.

Courses Taught

  • Time Frequency Analysis EC327 (UG) Developed
  • Wavelet in Signal Processing EC456 (UG) Developed
  • Multi-rate Signal Processing (PG)
  • Speech Signal Processing (PG)
  • Speech Recognition (UG)
  • Communication System (UG)
  • Basic Electronics (UG)
  • Signal and System (UG)
  • Satellite Communication (UG)
  • Digital Communication (UG)
  • Cellular Mobile Communication (UG)
  • Vocie Communication (UG)
  • Data Communication (UG)
  • Analog and Digital Communication (UG)
  • Network Analysis and Synthesis (UG)
  • Analog Electronics (UG)
  • Electronic Devices and Circuits (UG)

Last Updated : 2025-03-08 05:43:05