Shajith Ikbal
Senior Research Scientist @ IBM Research AI, India.
Shajith Ikbal
Senior Research Scientist @ IBM Research AI, India.
I am with IBM Research in India from Sep 2006. Prior to this I was at CS Dept of Karlsruhe University in Germany as a Post-Doctoral Researcher for 2 years.
Education:
PhD, Swiss Federal Inst. of Technology (EPFL), Lausanne, Switzerland, 2004.
MS, Indian Institute of Technology-Madras (IIT-M), Chennai, India, 1999.
BTech, Madras Institute of Technology, Anna University, Chennai, India, 1996.
BSc, The New College, Madras University, Chennai, India, 1993.
Research interests: AI, ML, Knowledge Representation, NLU, Speech Recognition & Understanding.
My page at IBM Research website: http://researcher.ibm.com/person/in-shajmoha
Publications
2024
Conference: Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G P Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Daniel Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi, "Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks", EMNLP (Industry) 2024, Miami, Florida, USA, 2024.
Open Access: Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis Lastras, Pavan Kapanipathi, “Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks”, in Arxiv, 2024.
Open Access: G P Shrivatsa Bhargav, Sumit Neelam, Udit Sharma, Shajith Ikbal, Dheeraj Sreedhar, Hima Karanam, Sachindra Joshi, Pankaj Dhoolia, Dinesh Garg, Kyle Croutwater, Haode Qi, Eric Wayne, J William Murdock, “An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants”, in Arxiv, 2024.
2023
Conference: Shajith Ikbal, Udit Sharma, Hima Karanam, Sumit Neelam, Ronny Luss, Dheeraj Sreedhar, Pavan Kapanipathi, Naweed Khan, Kyle Erwin, Ndivhuwo Makondo, Ibrahim Abdelaziz, Achille Fokoue, Alexander Gray, Maxwell Crouse, Subhajit Chaudhury, Chitra Subramanian, "Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge", EMNLP (Findings) 2023, Singapore, 2023.
Conference: Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal, Hima Karanam, L. Venkata Subramaniam, "Best of BothWorlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction", EMNLP 2023, Singapore, 2023.
Conference: Achille Fokoue, Ibrahim Abdelaziz, Maxwell Crouse, Shajith Ikbal, Akihiro Kishimoto, Guilherme Lima, Ndivhuwo Makondo, Radu Marinescu, “An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations”, IJCAI, Macao, China, 2023.
2022
Conference: Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G P Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois Luus and L V Subramaniam, "SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases", EMNLP (Findings) 2022, Abu Dhabi, UAE, 2022.
Journal: Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock and Achille Fokoue, “Learning to Guide a Saturation-Based Theorem Prover”, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE PAMI), 2022.
Open Access: Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal, Hima Karanam and L. Venkata Subramaniam, “Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases”, in Arxiv, 2022.
Open Access: Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus and L. Venkata Subramaniam, “A Benchmark for Generalizable and Interpretable Temporal Question Answering Over Knowledge Bases”, in Arxiv, 2022.
2021
Open Access: Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus and L. Venkata Subramaniam, “SYGMA: System for Generalizable Modular Question Answering Over Knowledge Bases”, in Arxiv, 2021.
2020
Open Access: Ryan Riegel, Alexander Gray, Francois Luus, Naweed Khan, Ndivhuwo Makondo, Ismail Yunus Akhalwaya, Haifeng Qian, Ronald Fagin, Francisco Barahona, Udit Sharma, Shajith Ikbal, Hima Karanam, Sumit Neelam, Ankita Likhyani, Santosh Srivastava, “Logical Neural Networks”, in Arxiv, 2020.
2019
Conference: Dinesh Garg, Shajith Ikbal, Santosh Srivastava, Harit Vishwakarma, Hima Karanam, L. Venkata Subramaniam, "Quantum Embedding of Knowledge for Reasoning", accepted for Proc. of Thirty-third Conference on Neural Information Processing Systems (NeurIPS'19), Vancouver, Canada, 2019.
2015
Journal: Shajith Ikbal, Ashay Tamhane, Bikram Sengupta, Malolan Chetlur, Saurav Ghosh and James Appleton, “On Early Prediction of Risks in Academic Performance for Students", IBM Journal of Research and Development, vol. 59, no. 6, paper 5, pages 5:1-5:14, November/December 2015.
Journal: Danish Contractor, Sumit Negi, Kashyap Popat, Shajith Ikbal, Balunaini Prasad, Sandeep Vedula, Sreekanth Kakarpathy, Bikram Sengupta and Vijay Kumar, “Smarter Learning Content Management Using the Learning Content Hub", IBM Journal of Research and Development, vol. 59, no. 6, paper 3, pages 3:1-3:9, November/December 2015.
Conference: Danish Contractor, Kashyap Popat, Shajith Ikbal, Sumit Negi, Bikram Sengupta and Mukesh Mohania, "Labeling Educational Content with Academic Learning Standards", in Proc. of SIAM International Conference on Data Mining (SDM'15), Vancouver, Canada, 2015.
2014
Conference: Ashay Tamhane, Shajith Ikbal, Bikram Sengupta, Mayuri Duggirala and James Appleton, "Predicting Student Risks Through Longitudinal Analysis", in Proc. of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), New York, USA, 2014.
2013
Conference: Shajith Ikbal, Ashish Verma, Prasanta Ghosh, Kenneth Church and Jeffrey Marcus, "Intent Focused Summarization of Caller-Agent Conversations", in Proc. of IEEE ICASSP'13, Vancouver, Canada, 2013.
2012
Conference: Shajith Ikbal, Sachindra Joshi, Ashish Verma and Om D Deshmukh, "Spoken Document Clustering Using Word Confusion Networks", in Proc. of Interspeech'12, Portland, Oregon, USA, 2012.
Journal: Shajith Ikbal, Hemant Misra, Hynek Hermansky and Mathew Magimai-Doss, “Phase AutoCorrelation (PAC) Features for Noise Robust Speech Recognition”, Speech Communication, vol. 54, issue 7, pages 867-880, Sep. 2012.
2011
Conference: Debapriyo Majumdar, Rose Catherine, Shajith Ikbal and Karthik Visweswariah, “Privacy Protected Knowledge Management in Services with Emphasis on Quality Data”, in Proc. of ACM Conference on Information and Knowledge Management (CIKM'11), Glasgow, Scotland, UK, 2011.
Conference: Om D Deshmukh, Shajith Ikbal, Ashish Verma and Etienne Marcheret, “Acoustic-Similarity Based Technique to Improve Concept Recognition”, in Proc. of Interspeech'11, Florence, Italy, 2011.
Conference: Debapriyo Majumdar, Rose Catherine, Shajith Ikbal and Karthik Visweswariah, “Knowledge Management in AMS with An Emphasis on Quality Data and Customizable Data Privacy”, Frontiers in Services Conference, Columbus, Ohio, USA, 2011.
2010
Conference: Preethi Raghavan, Rose Catherine K., Shajith Ikbal, Nanda Kambhatla and Debapriyo Majumdar, “Extracting Problem and Resolution Information from Online Discussion Forums”, in Proc. of International Conference on Management of Data (COMAD'10), Nagpur, India, 2010.
Conference: Shajith Ikbal and Karthik Visweswariah, “Call Transcript Segmentation Using Word Cooccurrence Model”, in Proc. of IEEE SLT'10, Berkeley, USA, 2010.
Conference: Shajith Ikbal, Om D Deshmukh, Karthik Visweswariah and Ashish Verma, “Utilizing Relationships Between Named Entities to Improve Speech Recognition in Dialog Systems”, in Proc. of IEEE SLT'10, Berkeley, USA, 2010.
Conference: Vijil Chenthamarakshan, Rafah A. Hosn, Shajith Ikbal, Nanda Kambhatla, Debapriyo Majumdar and Soumitra Sarkar, “Measuring Compliance and Deviations in A Template-Based Service Contract Development Process", in Proc. of IEEE SCC’10, Miami, Florida, USA, 2010.
Conference: Ashish Verma, Himanshu Chauhan, Om Deshmukh and Shajith Ikbal, “Sensei: Evaluating Spoken English Skills for Call Center Agents”, Informs'10 Annual Meeting, Austin, Texas, USA, 2010.
Workshop: Preethi Raghavan, Rose Catherine K., Shajith Ikbal and Nanda Kambhatla, “Classification and Retrieval from Mailing Lists and Forums”, Forum for Information Information Retrieval Evaluation (FIRE), Gandhi Nagar, India, 2010.
2009
Conference: L. Venkata Subramaniam, Tanveer A. Faruquie, Shajith Ikbal, Shantanu Godbole and Mukesh Mohania, “Business Intelligence from Voice of Customer (BIVoC)”, in Proc. of IEEE ICDE’09, Shanghai, China, 2009.
2008
Conference: Shajith Ikbal and Karthik Visweswariah, "Learning Essential Speaker Sub-space Using Hetero-Associative Neural Networks for Speaker Clustering”, in Proc. of Interspeech'08, Brisbane, Australia, 2008.
Conference: Shajith Ikbal and Tanveer Faruquie, “HMM Based Event Detection in Audio Conversation”, in Proc. of IEEE ICME'08, Hannover, Germany, 2008.
2007
Conference: Abhishek Chandel, Abhinav Parate, Maymon Madathingal, Himanshu Pant, Nitendra Rajput, Shajith Ikbal, Om Deshmukh, and Ashish Verma, “Sensei: Spoken Language Assessment for Call Center Agents”, in Proc. of IEEE ASRU'07, Kyoto, Japan, Dec 2007.
Conference: Abhishek Chandel, Abhinav Parate, Maymon Madathingal, Himanshu Pant, Nitendra Rajput, Shajith Ikbal, Om Deshmukh, and Ashish Verma, “Sensei: A Web Enabled Tool for Assessment and Improvement of Spoken English Skills”, demonstration at ASRU'07, Kyoto, Japan, Dec 2007.
Workshop: Ashish Verma, Abhinav Parate, Maymon Madathingal, Himanshu Pant, Shajith Ikbal, Vivek Tyagi and Om Deshmukh, “Sensei: A Spoken English Assessment System for Call Center Agents”, a Poster presented at Regional Technical Exchange (RTE – an internal IBM Workshop), Bangalore, 2007.
2006
Workshop: Christian Fuegen, Shajith Ikbal, Florian Kraft, Kenichi Kumatani, Kornel Laskowski, John W. McDonough, Mari Ostendorf, Sebastian Stueker and Matthias Woelfel, “The ISL RT-06S Speech-to-Text System”, in Proc. of the NIST Rich Transcription 2006 Spring Meeting Recognition Evaluation Workshop (RT-06S), Bethesda, MD, USA, May 2006.
Conference: Matthias Woelfel, Christian Fuegen, Shajith Ikbal and John W. McDonough, “Multi-Source Far-Distance Microphone Selection and Combination for Automatic Transcription of Lectures”, in Proc. of the Interspeech'06, Pittsburgh, PA, USA, Sep. 2006.
Conference: Christian Fuegen, Matthias Wolfel, John W. McDonough, Shajith Ikbal, Florian Kraft, Kornel Laskowski, Mari Ostendorf, Sebastian Stueker and Kenichi Kumatani, “Advances in Lecture Recognition: The ISL RT-06S Evaluation System”, in proc. of the Interspeech'06, Pittsburgh, PA, USA, Sep. 2006, ISCA.
Workshop: Sebastian Stueker, Christian Fuegen, Roger Hsiao, Shajith Ikbal, Qin Jin, Florian Kraft, Matthias Paulik, Martin Raab, Yik-Cheung Tam and Matthias Woelfel, “The ISL TC-STAR Spring 2006 ASR Evaluation Systems”, in Proc. of the TC-STAR Workshop on Speech-to-Speech Translation, ELDA, Barcelona, Spain, 2006.
Conference: Tobias Gehrig, Ulrich Klee, John W. McDonough, Shajith Ikbal, Matthias Woelfel and Christian Fuegen, “Tracking and Beamforming for Multiple Simultaneous Speakers with Probabilistic Data Association Filters”, in proc. of the Interspeech'06, Pittsburgh, PA, USA, Sep. 2006, ISCA.
2005
Conference: Shajith Ikbal, Herve Bourlard and Mathew Magimai-Doss, “HMM/ANN Based Spectral Peak Location Estimation for Noise Robust Speech Recognition”, in Proc. of the IEEE ICASSP'05, Philadelphia, USA, March 2005.
Conference: Hemant Misra, Shajith Ikbal, Sunil Sivadas and Herve Bourlard, “Multi-Resolution Spectral Entropy Based Feature for Robust ASR”, in Proc. of the IEEE ICASSP'05, Philadelphia, USA, March 2005.
2004
Thesis: Shajith Ikbal, “Nonlinear Feature Transformations for Noise Robust Speech Recognition”, Doctor of Science (Ph.D.) Thesis, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, November 2004.
Conference: Shajith Ikbal, Hemant Misra, Sunil Sivadas, Hynek Hermansky and Herve Bourlard, “Entropy Based Combination of Tandem Representations for Noise Robust ASR”, in Proc. of the Interspeech'04, Jeju Island, Korea, Oct. 2004.
Conference: Shajith Ikbal, M. Magimai-Doss, Hemant Misra and Herve Bourlard, “Spectro-Temporal Activity Pattern (STAP) Features for Noise Robust ASR”, in Proc. of the Interspeech'04, Jeju Island, Korea, Oct. 2004.
Conference: Mathew Magimai-Doss, Todd Stephenson, Shajith Ikbal and Herve Bourlard, “Modeling Auxiliary Features in Tandem Systems”, in Proc. of the Interspeech'04, Jeju Island, Korea, Oct. 2004.
Conference: Shajith Ikbal, Hemant Misra, Herve Bourlard and Hynek Hermansky, “Phase AutoCorrelation (PAC) Features in Entropy Based Multi-Stream for Robust Speech Recognition”, in Proc. of the IEEE ICASSP'04, Montreal, Canada, May 2004.
Conference: Hemant Misra, Shajith Ikbal, Herve Bourlard and Hynek Hermansky, “Spectral Entropy Based Features for Robust ASR”, in Proc. of the IEEE ICASSP'04, Montreal, Canada, May 2004.
2003
Conference: Shajith Ikbal, Hynek Hermansky and Herve Bourlard, “Nonlinear Spectral Transformations for Robust Speech Recognition”, in Proc. of the IEEE ASRU'03, St.Thomas, U.S.Virgin Islands, USA, Dec. 2003.
Journal: Katrin Weber, Shajith Ikbal, Samy Bengio and Herve Bourlard, “Robust Speech Recognition and Feature Extraction Using HMM2”, Computer Speech & Language, vol. 17, issues 2-3, pages 195-211, April/July 2003.
Conference: Shajith Ikbal, Hemant Misra and Herve Bourlard, “Phase AutoCorrelation (PAC) derived Robust Speech Features”, in Proc. of the IEEE ICASSP'03, Hong Kong, Apr. 2003.
Journal: Hemant Misra, Shajith Ikbal and B. Yegnanarayana, “Speaker-Specific Mapping for text-independent Speaker Recognition”, Speech Communication, vol. 39, issues 3-4, pages 301-310, February 2003.
2002
Conference: Shajith Ikbal, Katrin Weber and Herve Bourlard, “Speaker Normalization Using HMM2”, in Proc. of IEEE NNSP'02, pages 647-656, Martigny, Switzerland, Sep. 2002.
1999
Thesis: Shajith Ikbal, “Auto-Associative Neural Network Models for Speaker Verification”, Master of Science (M.S.) Thesis, Comp. Sci. and Engg. Dept., IIT-Madras, Chennai, India, May 1999.
Conference: Shajith Ikbal, Hemant Misra and B. Yegnanarayana, “Analysis of Autoassociative Mapping Neural Networks”, in Proc. of IJCNN'99, pages 854-858, Washington D.C., Jul. 1999.
Conference: Hemant Misra, Shajith Ikbal and B. Yegnanarayana, “Spectral Mapping as a Feature for Speaker Recognition”, in Proc. National conference on Communication (NCC'99), pages 151-156, Kharagpur, India, Jan.1999.