n Nov 2021 to Sep 2022- Assistant Professor (Grade-I), Department of SCSE, AI Division VIT Bhopal

n Oct 2022 to March 2023- Assistant Professor (Grade-II), Department of CSE, KIIT
University, Bhubaneswar

n March 2023 to till date- Assistant Professor, Department of CSE, BIT Mesra, Ranchi, Jharkhand

Subject Taught:

(VIT Bhopal University)

n Deep Learning(CSA4004)

n Advance Python Programming(MCA2022)        

n Theory of Computation and Compiler Design (CSE2004)

n Natural Language Processing (CSA4006)

n Computer Architecture and Organization (CSE2003)

(KIIT University)

n Theory of Computation(CS2010)

n Operating System(CS2002)

(BIT Mesra)

n Programming for Problem-Solving(CS101)

n Speech and Digital Signal Processing

n Machine Learning

n Deep Learning

n Emotion Recognition

n Computational Biology and Disease prediction using Signals

n Qualified University Grant Commission – National Eligibility Test (UGC-NET), December, 2018

n Qualified Agriculture Scientist Research Board– National Eligibility Test (ASRB-NET), June, 2018

n Qualified Graduate Aptitude Test in Engineering (GATE) examination three times:  GATE-2014, GATE-2017and GATE-2019.

n MHRD stipend (GATE) for the M. Tech.

n MHRD stipend for the Ph.D.

n Gold Medalist in M. Tech.

Journal Publications:

[J1] Md Shah Fahad, Akshay Deepak, Gayadhar Pradhan, and Jainath Yadav. “DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features”. Circuits, Systems, and Signal Processing 40 (2020): 466-489. (Indexing-SCIE, Impact factor-2.225)

 [J2] Md Shah Fahad, Ashish Ranjan, Jainath Yadav, and Akshay Deepak. “A survey of speech emotion recognition in natural environment”. Digital Signal Processing,110(2020): 102951. (Indexing-SCI, Impact factor-3.38)

[J3] Md Shah Fahad, Shreya Singh, Abhinav, Ashish Ranjan and Akshay Deepak." Emotion Recognition from Spontaneous Speech using Emotional Vowel-like Regions”. Multimedia tools and Applications. 81(10), 14025-14043. (Indexing-SCIE, Impact factor-2.75)

[J4] Md Shah Fahad, Ashish Ranjan, Gayadhar Pradhan and Akshay Deepak. “Speaker Adversarial Neural Network (SANN) for Speaker-Independent Speech Emotion Recognition”. Circuits, Systems, and Signal Processing, 41 (2022), 6113-6135. (Indexing-SCIE, Impact factor-2.225)

[J5] Md Shah Fahad, Shruti Gupta, Abhinav, Shreya Singh, and Akshay Deepak. “Synthesis of Emotional Speech by Prosody Modification of Vowel Segments of Neutral Speech”. Recent Advances in Computer Science and Communications.14(2020): 1226-1235 (Indexing-SCOPUS)

[J6] Jainath Yadav, Md Shah Fahad, and K. Sreenivasa Rao. “Epoch detection from emotional speech signal using zero time windowing”. Speech Communication 96 (2018): 142-149. (Indexing-SCIE, Impact factor-2.01)

[J7] Ashish Ranjan, Md Shah Fahad, David Fernandez-Baca, Akshay Deepak, and Sudhakar Tripathi. “Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences”. IEEE/ACM Transactions on Computational Biology and Bioinformatics,17(2019):1648-1659.  (Indexing-SCIE, Impact factor-3.71)

[J8] Shruti Gupta, Md Shah Fahad, and Akshay Deepak. “Pitch-synchronous single frequency filtering spectrogram for speech emotion recognition”. Multimedia Tools and Applications, 79(2020): 23347-23365.(Indexing-SCIE, Impact factor-2.75)

[J9] Ashish Ranjan, Md Shah Fahad, David Fernandez-Baca, Akshay Deepak, and Sudhakar Tripathi. “Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention” IEEE/ACM Transactions on Computational Biology and Bioinformatics.  doi: 10.1109/TCBB.2022.3173789. (Indexing-SCIE, Impact factor-3.71).

[J10] Ashish Ranjan, Md Shah Fahad and Akshay Deepak. “λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences”. Information Sciences. 609 (2022):1098-1112 (Indexing-SCIE, Impact factor-8.23)

[J11] Paritosh Bhushan, Md Shah Fahad, Sanjay Agarwal, Akshay Deepak. “A self-attention-based hybrid CNN-LSTM for Speaker-Independent Speech Emotion Recognition. Accepted (SCOPUS)

[J12]  Paritosh Bhushan, Md Shah Fahad, Kota Sai Durga Kames, Paritosh Tripathi, Praveen Mishara, Vineet Kumar Singh, Akshay Deepak. “A self-attention-based hybrid CNN-LSTM  Architecture for Respiratory Sound Classification. Accepted (SCOPUS)

Conference Publications:

[C1] Md Shah Fahad and Akshay Deepak. “Crowd Estimation of Real-Life Images with Different View-Points." In International Conference on Innovative Computing and Communications, pp. 1053-1062. Springer, 2021.

[C2] Manish Kumar Rai Md Shah Fahad, Jainath Yadav, and K. Sreenivasa Rao. “Language identification using PLDA based on i-vector in noisy environment”.  In 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1014-1020. IEEE, 2016.

[C3] Abhishek Srivastava, Balanand Jha, Md Shah Fahad, Akshay Deepak, and Kumar Abhishek. “A Genetic Algorithm Formulation for Rogue Taxa Problem”.  In 2018 International Conference on Bioinformatics and Systems Biology (BSB), pp. 161-164. IEEE, 2018.

[C4] Md Shah Fahad, Raushan Raj, Ashish Ranjan and Akshay Deepak. “Hindi Songs genre classification using Deep Learning”.In International Conference on Security, Privacy and Data Analytics(ISPDA-2021). Springer, Singapore, 2022. 143-154.

[C5] Md Shah Fahad, Aparna, Shambhavi, Ashish Ranjan and Akshay Deepak. “Multi-model Emotion Recognition using Hybrid framework of Deep and Machine learning”. In International Conference on Security, Privacy and Data Analytics(ISPDA-2021).  Springer, Singapore, 2022. 155-166.

 [C6] Vikash Kumar, Ashish Ranjan,Md Shah Fahad and Akshay Deepak.  “Media House Bias Prediction Using Deep Learning Framework”. In International Conference on Security, Privacy and Data Analytics(ISPDA-2021), Springer, Singapore, 2022. 131-141.

[C7] Md Shah Fahad, Raushan Raj, Ashish Ranjan and Akshay Deepak.  “Discriminative Feature Construction using Multi-labeling Approach for Automatic Speech Emotion Recognition”. 4^th International Conference on Machine Intelligence and Signal Processing (MISP 2022).(Best Paper Award)