Education

• Bachelors in Computer Science and Engineering, Visvesvaraya Technological University , PESIT Bangalore South Campus, 2015
• Masters in Computer Science and Interactive Intelligence, Georgia Institue of Technology , College of Computing, 2022

Work experience

• 2021 - Current: Senior Research Engineer
  • R&D Center, AI Research Group, Hitachi India Pvt. Ltd
  • Computer Vision
    • Less data modeling
      • Investigation of Temporal Ensembling in Context of Intraclass variance.
• 2018 - 2020: Research Engineer
  • R&D Center, Digital Solutions Research Group, Hitachi India Pvt. Ltd
  • Computer Vision & Natural Language Processing
    • Less data modeling
      • Investigation of Temporal Ensembling in Context of Intraclass variance.
    • Unified Framework
      • Developed unified framework for multiple vision tasks through instance based learning and offensive language identification through language modeling.
      • Designed instance based learning approach for simultaneous Pedestrian Attribute Recognition and Re-Identification.
    • Offensive Language Identification :Developed Sampling approach for noisy training transformer Language models.
• 2016 - 2018: Research Engineer
  • R&D Center, Digital Solutions Research Group, Hitachi India Pvt. Ltd
  • Computer Vision
    • Developed vision AI for mass visual surveillance with research involving deep compression, activity recognition, improved SSD.
    • Deep compression : Designed theoretical formulation for filter importance criterion via structural filter statistics.
    • Activity Recognition : Designed trajectory based CNN for activity recognition.
    • Single Shot Detection : Performance improvement of SSD using Convex Optimization.
    • Face Recognition : Improving Occluded Face Recognition through Reference conditioned Low Rank Projection.
    • Video Object Detection : Attention coupled Single Shot Video Object Detection.
    • https://www.reuters.com/video/2017/04/10/hitachi-reveals-ai-security-software?videoId=371461744
• 2015 - 2016 : Junior Research Engineer
  • R&D Center, IT Solution Research Group, Hitachi India Pvt. Ltd
  • Natural Language Processing
    • Developed Natural Language Processing system for medical texts with research involving Numerical Attribute Extraction, Temporal Information Extraction, Narrative Container Relation extraction.
    • Numerical Attribute Extraction : Developed extracting named entities from clinical texts using CRF and SVM.
    • Temporal Information Extraction : Developed approaches to extract temporal information and creating clinical timelines using rule based and ensemble approaches.
    • http://www.hitachi.com/New/cnews/month/2017/12/171212.pdf
• 2015 : Intern Research Engineer
  • R&D Center, IT Solution Research Group, Hitachi India Pvt. Ltd
  • Natural Language Processing
    • Acronym Sense Disambiguation from Medical Texts
    • Developed a acronym sense disambiguation system for clinical texts using structured sequence modeling involving CRF.
    • Migrated the developed technology into Apache CTakes framework with UIMA support

Skills

• Frameworks : Pytorch, Keras, scikit-learn, NLTK, Spacy, CoreNLP, CTakes
• Languages : Python, Java, ANSI-C

Publications

• Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran , Gayathri Nisha, Navyasree Balamuralidhar, Adithya Madhusoodanan, Anand Kumar Madasamy, Bharathi Raja Chakravarthi: Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection . CoRR abs/2204.05488 (2022)

• Manikandan Ravikiran , Bharathi Raja Chakravarthi Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction. Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2022. (To Appear)

• Hariharan R L, Anand Kumar Madasamy, Manikandan Ravikiran . NIT-IT_NLP@TamilNLP-ACL2022: Transformer based model for Toxic span Identification in Tamil. Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2022. (To Appear)

• Manikandan Ravikiran , Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sangeetha Sivanesan, Ratnavel Rajalakshmi, Sajeetha Thavareesa. Findings of the Shared Task on Offensive Span Identification in Code-Mixed Tamil-English Comments. Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2022. (To Appear)

• Manikandan Ravikiran , Siddarth Vohra, Yuichi Nonaka, Sharath Kumar, Shibashish Sen, Nestor Mariyasagayam, Kingshuk Banerjee You Reap What You Sow: Revisitng Intra-Class Variations and Seed Selection in the Context of Temporal Ensembling. In Proceedings of the 2nd International Conference on Frontiers in Computing and Systems (COMSYS-2021).

• Manikandan Ravikiran , Subbiah Annamalai DOSA: Dravidian Code-Mixed Offensive Span Identification Dataset . In Proceedings of the The First Workshop on Speech and Language Technologies for Dravidian Languages, EACL (2021)

• Manikandan Ravikiran , Yuichi Nonaka, Nestor Mariyasagayam. A Sensitivity Analysis of DeepSORT for Low Frame Rate Video . Special Session on Machine Learning for Big Data, IEEE International Conference on Big Data (2020).

• Siddharth Vohra and Manikandan Ravikiran . Investigating the Effect of Intraclass Variability in Temporal Ensembling . ArXiv abs/2008.08956 (2020)

• Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, and Sakata Masayuki. 2020. Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing. In Proceedings of the International Workshop on Semantic Evaluation (SemEval).

• Manikandan Ravikiran. Keyphrase Rubric Relationship Classification in Complex Assignments. ArXiv abs/2004.01549 (2020).

• Manikandan Ravikiran. Key Phrase Classification in Complex Assignments. ArXiv abs/2003.07019 (2020).

• Manikandan Ravikiran. What’s happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review. ArXiv abs/2001.09830 (2020)

• Manikandan Ravikiran. Systematic Review of Approaches to Improve Peer Assessment at Scale. ArXiv abs/2001.10617 (2020)

• Manikandan Ravikiran, Krishna Madgula. Fusing Deep Quick Response Code Representations Improves Malware Text Classification, Proceedings of the ACM Workshop on Crossmodal Learning and Application,2019.

• Pravendra Singh, Manikandan Ravikiran, Neeraj Matyali, Vinay P Namboodiri, Multilayer Pruning Framework for Compressing Single Shot Multibox Detector, IEEE Winter Conference on Applications of Computer Vision, Hawaii, USA 2019

• Martin Klinkigt, Duy-Dinh Le, Hiroike Atsushi, Hung-Quoc Vo, Vinh-Tiep Nguyen,Tomokazu Murakami, Tien-Van Do, Tomoaki Yoshinaga, Duy-Nhat Nguyen, Sinha Saptarshi, Thanh-Duc Ngo, Charles Limasanches, Tushar Agrawal, Jian Manish Vora, Manikandan Ravikiran, Zheng Wang, Shinichi Satoh, NII Hitachi UIT at TRECVID 2019, TRECVID 2019

• Manikandan Ravikiran, Yet Another Production System for solving 2x2 Ravens Progressive Matrices, Working Paper, 2019

• Manikandan Ravikiran, Towards State-of-the-Art Object Detection: A Multistage Improvement of Single Shot Multibox Detector, First Hitachi Artificial Intelligence Conference, Santa Clara, USA 2019

• Manikandan Ravikiran, Shibashish Sen, Enhancing Image Representations for Occluded Face Recognition via Reference Conditioned Low-Rank projection, 48th Annual IEEE AIPR 2019: Cognition, Collaboration, and CloudWashington, D.C. October 15-17, 2019

• Manikandan Ravikiran, Shibashish Sen, Improving Industrial Safety Gear Detection through Re-ID conditioned Detector, 48th Annual IEEE AIPR 2019: Cognition, Collaboration, and CloudWashington, D.C. October 15-17, 2019

• Manikandan Ravikiran, A Production System to (almost) solve 3x3 Ravens Progressive Matrices , Working Paper, 2019

• Manikandan Ravikiran, Occam’s Razor - Simple approaches solve 3x3 Raven’s Progressive Matrices , Working Paper, 2019

• Manikandan Ravikiran, Madgula Krishna, Snehanshu Saha. TeamDL at SemEval-2018 Task 8: Cybersecurity text analysis using convolutional neural network and conditional random fields, Proceedings of the 12th International Workshop on Semantic Evaluation,2018.

• Sang Phan, Zheng Wang, Aimin Su, Martin Klinkigt, Mohit Chabbra, Manikandan Ravikiran, Duy Dinh Le and Shinichi Satoh. NII Hitachi UIT at TRECVID 2018, Proceedings of TRECVID 2018, NIST, USA, 2018

• Manikandan Ravikiran, Traffic Sign Detection - How well does SSD fare up? An Empirical Study, 47th Annual IEEE AIPR, Ubiquitous Imaging ,Washington D.C., USA, 2018

• Sarath Ramachandran, Manikandan Ravikiran,Yoshiki Niwa. Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes, Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017),2017.

• Sarath Ramachandran, Manikandan Ravikiran, Yoshiki Niwa. Hitachi at Semeval-2016 task 12: A hybrid approach for temporal information extraction from clinical notes, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016),2016.

• Manikandan Ravikiran, Sneha Mani. Toxic Comment Classification-An Empirical Study. Working Paper. 2016

• Snehanshu Saha, Surbhi Agrawal,Manikandan Ravikiran, Kakoli Bora, Swati Routh, Anand Narasimhamurthy. ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy. ArXiv, abs/1504.07865.

Patents

• Shibashish Sen, Manikandan R, Yuichi Nonaka and Nestor Mariyasagayam - System and method to generate gating sequences for training model on multidomain datasets - 2021
• Manikandan R, Yuichi Nonaka and Nestor Mariyasagayam - System and method for generating filter sequences to Train Model on Completely Noisy Dataset - 2021
• Manikandan R and Shibashish Sen - System and Method to train neural network with Heterogenous Distillation - 2020
• Manikandan R and Shibashish Sen - System and Method to train to Object Recognition Network with less data - 2019
• Manikandan R - Method and System for generating an Optimal Object Recognition Network (OORN) with Balanced Accuracy - 2017
• Manikandan R, Sarath.P.R and Saima Mohan - A Method and System for Determining Plausability of a Clinical Care Plan - 2015

Service and leadership

• 2022 Publicity Chair & Program Committee, FIRST INTERNATIONAL CONFERENCE ON SPEECH AND LANGUAGE TECHNOLOGIES FOR LOW-RESOURCE LANGUAGES, 2022
• 2022 Program Committee, IEEE International Conference on Data and Decision Sciences, 2022
• 2022 Program Committee, The Second Workshop on Speech and Language Technologies for Dravidian Languages @ ACL 2022
• 2021 Program Committee, FIRE 2021 - Forum for Information Retrieval Evaluation, India
• 2021 Technical Program Committee, Spring Language Resources and Evaluation Journal
• 2021 Technical Program Committee, Springer Nature Computer Science Journal
• 2021 Technical Program Committee, ACM Transactions on Asian and Low-Resource Language Information Processing
• 2021 Technical Program Committee, Elsevier Computer Speech and Language Journal
• 2021 Program Committee, EMNLP 2021 - Punta Cana, Dominican Republic
• 2021 Program Committee, ACL-IJCNLP 2021 - Bangkok, Thailand
• 2021 Program Committee, First Workshop On Language Technology For Equality, Diversity, Inclusion (Lt-Edi-2021) EACL 2021 - Kyiv, Ukraine
• 2021 Program Committee, First Workshop on Speech and Language Technologies for Dravidian Languages @ EACL 2021 - Kyiv, Ukraine
• 2021 Program Committee, NAACL 2021 - Mexico City
• 2020 Program Committee, AACL-IJCNLP 2020 - Suzhou, China
• 2020 Program Committee, International Workshop on Semantic Evaluation (SemEval-2020) - Barcelona, Spain
• 2019 Program Committee, Journal of Experimental and Theoretical Artificial Intelligence
• 2019 Student Reviewer Mentor, ACM CSCW 2019 Austin, Texas
• 2019 Industry Session Chair, ACM ICMR 2019, Ottawa, Canada
• 2019 Organizer, Workshop of Cross Modal Learning and Application - ACM ICMR 2019 Ottawa, Canada
• 2018 Program Committee, International Workshop on Semantic Evaluation (SemEval-2018) - NAACL-HLT New Orleans, USA
• 2018 Program Committee, 27th International Conference on Computational Linguistics (COLING 2018) New Mexico, USA
• 2017 Program Committee, International Workshop on Semantic Evaluation (SemEval-2017) - ACL Vancouver, Canada
• 2016 Program Committee, International Workshop on Semantic Evaluation (SemEval-2016) - NAACL HLT San Diego, USA
• 2016 Open Source Contributor, AutoML Project