"उद्यमेन हि सिध्यन्ति कार्याणि न मनोरथैः! न हि सुप्तस्य सिंहस्य प्रविशन्ति मुखे मृगाः!"
About Me:
नमस्कार! I am Achyut Mani Tripathi (अच्युत मणि त्रिपाठी), originally from Bilaspur, Chhattisgarh, India. I am an Assistant Professor in the Computer Science & Engineering Department at the Indian Institute of Technology Dharwad (IIT-Dh) in Karnataka, India. I earned my Ph.D. in 2021 from the Computer Science & Engineering Department at the Indian Institute of Technology Guwahati (IIT-Guwahati) in Assam, India.
My Research Interests Include: Deep Learning for Environmental Sound Classification, Lightweight Large Acoustic Models, Adversarial Attacks, Knowledge Distillation, Dataset Condensation, Multimodal Learning Tasks: Audio-Visual Event Localization (AVEL), Audio-Visual Segmentation (AVS), Audio-Visual Scene Classification (AVSC), Audio-Visual Question Answering (AVQA), Audio Question Answering (AQA), Audio-Visual Source Localization (AVSL), Audio-Visual Compositional Reasoning (AVCR), Anomaly Detection, and Predictive Maintenance.
New Highlights and Announcements:
(Open Positions)→ I have vacancies available for PhD candidates and I'm in search of motivated BTech/MTech students who possess strong analytical skills, a keen interest in research, and a commendable academic background. Please share your updated resume if you want to pursue a Ph.D., MTP, or BTP under my supervision.
Additionally, I encourage students from IIT Dh with a CPI exceeding 8.0 to consider joining my team for independent projects in research or development. I seek individuals interested in substantial projects, excluding mini-projects, short-term commitments, or online internships.
Publications:
Patents
"A System
and Method for Activity Identification and Problem Prediction During Oil and Gas Well Drilling".
Refereed Journal Articles
" Divide and Distill: New Outlooks On Knowledge Distillation for Environmental Sound Classification, IEEE/ACM Transactions on Audio, Speech, and Language Processing, (IEEE TASLP), Vol.31, Page.1100-1113, [H-index=69, Impact Factor=5.4]
"Oil Well Drilling Activities Recognition Using
a Hierarchical Classifier", Journal of Petroleum Science & Engineering, 107883, Vol.196, 2021. [H-index=84, Impact Factor=5.168]
Refereed Conference
"Towards Multi-Lingual Audio Question Answering", Conference of the International Speech Communication Association
(INTERSPEECH), Aug 20-24, 2023, Dublin, Ireland. [Core Rank=A*]
"Sub-band Contrastive Learning-based Knowledge Distillation for Sound Classification," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 4-10, Rhodes Island, Greece, 2023 [Core Rank=A*]
"Temporal Self-Attention-Based Residual Network for An Environmental Sound Classification," Conference of the International Speech Communication Association
(INTERSPEECH), Sept 18-22, 2022, Incheon, Korea. [Core Rank=A*]
"Revamped Knowledge Distillation for Environmental Sound Classification," IEEE International Joint Conference on Neural Networks
(IJCNN), July 18-23, 2022, Padua, Italy.[Core Rank=A]
"Reverse Adversarial Attack To Enhance Environmental Sound Classification," IEEE International Joint Conference on Neural Networks
(IJCNN),July 18-23, 2022, Padua, Italy. [Core Rank=A]
"Defensive Bit Planes: Defense Against Adversarial Attacks," IEEE International Joint Conference on Neural Networks
(IJCNN),July 18-23, 2022, Padua, Italy. [Core Rank=A]
Investigation of Performance of Visual Attention Mechanisms for Environmental Sound Classification: A Comparative Study", IEEE International Joint Conference on Neural Networks
(IJCNN),July 18-23, 2022, Padua, Italy.[Core Rank=A]
"Adv-IFD: Adversarial Attack Datasets for An
Intelligent Fault Diagnosis", IEEE International Joint Conference on Neural Networks
(IJCNN),July 18-23, 2022, Padua, Italy. [Core Rank=A]
"Enhancing Multivariate Time Series Classification Using Long Short Term Memory
and Evidence Feed Forward HMM, IEEE International Joint Conference on Neural Networks
(IJCNN), July 19-24, 2020, Glasgow, UK, [Core Rank=A]
"Multivariate Time Series Classification With An Attention-Based
Multivariate Convolutional Neural Network", IEEE International Joint Conference on Neural Networks
(IJCNN), July 19-24, 2020, Glasgow, UK, [Core Rank=A]
"Acoustic Event Detection Using Oriented Fuzzy Local Binary
Pattern and Ensemble of Convolutional Neural Network", IEEE International Conference on Fuzzy
Systems (FUZZ-IEEE), July 19-24, 2020, Glasgow, UK, [Core Rank=A]
"Contextual Anomaly Detection in Time Series Using Dynamic
Bayesian Network", Asian Conference on Intelligent Information and Database Systems, Phuket,
Thailand, March 26-29, 2020,[Core Rank=B]
"Anomaly Detection in Multivariate Time Series Using Fuzzy
AdaBoost and Dynamic Naive Bayesian Classifier", in Proceedings of IEEE International Conference
on Systems, Man, and Cybernetics (SMC), Bari, Oct 6-9, 2019, Italy., [Core Rank=B]
"Incremental Cauchy Non-Negative Matrix Factorization and
Fuzzy Rule-based Classifier for Acoustic Source Separation", in Proceedings of IEEE International
Conference on Fuzzy Systems (FUZZ-IEEE), June 23-27, 2019, New Orleans, USA, [Core Rank=A]
"Acoustic Event Classification Using Cauchy Non-Negative Matrix
Factorization and Fuzzy Rule-Based Classifier", in Proceedings of IEEE International Conference on
Fuzzy Systems (FUZZ-IEEE), July 9-12, 2017, Naples, Italy, pp.1-6, [Core Rank=A]
"Anomaly Detection in Data Streams Based on Graph Coloring
Density Coefficients", in Proceedings of IEEE Symposium Series on Computational Intelligence
(SSCI), Dec 6-9, 2016, Athens, Greece, pp.1-7, [Core Rank=C]
"Acoustic Event Classification Using Ensemble of
One-Class Classifiers for Monitoring Application", in Proceedings of IEEE Symposium Series on
Computational Intelligence (SSCI), Dec 7-10, 2015, Cape Town, South Africa, pp.1681-1686, [Core Rank=C]
"Acoustic Sensor Based Activity Recognition Using
Ensemble of One-Class Classifiers", in Proceedings of IEEE Conference on Evolving and Adaptive
Intelligent Systems (EAIS) , Dec 1-3, 2015, Duoai, France, pp.1-7, [Core Rank=C]
"Ultrasonic Sensor-based Human Detector Using
One-Class Classifiers", in Proceedings of IEEE Conference on Evolving and Adaptive Intelligent
Systems (EAIS) , Dec 1-3 ,2015, Duoai, France, pp.1-6., [Core Rank=C]
Achievement:
Recipient of IEEE Registration Grant For IEEE International Joint Conference on Neural Networks
(IJCNN), July 19-24, 2020, New Glasgow, UK
Recipient of IEEE CIS Travel Grant To Attend IEEE International Joint Conference on Neural
Networks (IJCNN), July 19-24, 2020, New Glasgow, UK
Recipient of IEEE Registration Grant For IEEE International Conference on Fuzzy Systems (FUZZ-
IEEE), July 19-24, 2020, New Glasgow, UK
Recipient of IEEE CIS Travel Grant To Attend IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE), July 19-24, 2020, New Glasgow, UK
Recipient of IEEE CIS Travel Grant To Attend IEEE International Conference on Fuzzy Systems
(FUZZ-IEEE), June 23-27, 2019, New Orleans, USA
Recipient of Travel Grant to Attend Microsoft AI-Research Summit (2018), IIIT-Hyderabad
Recipient of Prestigious PAN-IIT ONGC Scholarship for Ph.D. (2016-2021)
Recipient of MHRD Research Scholarship (2014-2019)
Projects:
Automatic Diarization of Multiple Speakers in Audio Recordings Using AI/ML Algorithms for Mandarin Language (Funding Agency: DRDO Young Scientist Laboratory (DYSL-CT))
Development of Comprehensive Interactive Well Monitoring Software Tool for Drilling Supervisors.
(Funding Agency: Funded by ONGC, Institute of Drilling Technology (IDT), Dehradun.) (During Ph.D.)
A System for Litter Monitoring and Control Using off-the-shelf: Sensors and Robotic Platforms.
(Funding Agency: IITG start-up grant) (During Ph.D.)