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Professor & Dean (Academics)


Education : Ph.D. (Mississippi State University)

Professor Chandrashekar Ramanathan is a faculty member at IIIT-B (International Institute of Information Technology Bangalore) since 2007 serving as professor, researcher and administrator. He has been working in the field of Computing for over 25 years in various capacities across industry and academia. He has been associated with IIITB for over 15 years where he has been teaching and carrying out research in diverse areas. His expertise lies in the fields of data science, software engineering, and large scale application development. He holds a Ph.D. degree from Mississippi State University, with his research focused on object-oriented databases. His teaching interests are in the areas of data modeling, data analytics, database design, and software architecture. His current research focus is Data Science, Model-based Software Engineering, and Technology for Education. He has authored several research papers and supervised thesis work of four PhD students, who have now graduated from IIIT-B under his guidance. He is currently heading Machine Intelligence and Robotics Center (MINRO) and Center for Technology Research and Innovation – Digital Governance (CTRI-DG), both of which are funded by Government of Karnataka. He is passionate about the use of technology for improving the quality of education. He serves on the Technical Advisory Panels of many departments of the Government of Karnataka including the Department of Education, Finance, and Center for Smart Governance. He also serves as a subject-matter expert on the Board of Studies of several HEI (Higher Educational Institutions). Dr. Chandrashekar was a Board member in the “Board for IT Education Standards (BITES)” between 2013 and 2023. He was recognized in the list of “Top 10 Data Science academicians of India” by the Analytics India magazine for the year 2018 and again in 2019.

Data Sciences, Software Architecture, Software Engineering, Technology for Education

, : TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics. COMAD/CODS : 268-271

, , : Ontology Mediated Document Retrieval for Exploratory Big Data Analytics. ICSC : 100-103

, , , , , : Ontology Augmented Data Lake System for Policy Support. BDA (Astronomy, Science, and Engineering) : 3-16

, : HS-PARAM: Hive-Spark Parameterization Framework to Optimize Ingestion and Storage of Heterogeneous Data. COMSNETS : 227-230

, : CDEF: Conceptual Data Extraction Framework for Heterogeneous Data. COMSNETS : 329-331

Leny Thangiah, Chandrashekar Ramanthan, and Lakshmi Sirisha Chodisetty, Distribution Transformer Condition Monitoring based on Edge Intelligence for Industrial IoT. IEEE 5th World Forum on Internet of Things,15-18 April 2019 – Limerick, Ireland (Best Paper Award)
Yogalakshmi Jaybal, Chandrashekar Ramanathan, and S. Rajagopalan. 2018. HDSanalytics: a data analytics framework for heterogeneous data sources. In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD '18). ACM, New York, NY, USA, 11-19. DOI: https://doi.org/10.1145/3152494.3152516
Chandrashekar Ramanathan, Shilpi Banerjee and N. J. Rao, OAES: Scalable and Secure Architecture for Online Assessment and Evaluation System, 2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education (MITE), Madurai, 2016, pp. 296-301. doi: 10.1109/MITE.2016.065
Shilpi Banerjee, N. J. Rao and Chandrashekar Ramanathan, Designing Item Banks in Alignment with Course Outcomes for Engineering Courses, 2016 IEEE Eighth International Conference on Technology for Education (T4E), Mumbai, 2016, pp. 152-155. doi: 10.1109/T4E.2016.039

S. Banerjee, N. J. Rao and C. Ramanathan, Rubrics for assessment item difficulty in engineering courses, 2015 IEEE Frontiers in Education Conference (FIE), El Paso, TX, 2015, pp. 1-8. doi: 10.1109/FIE.2015.7344299

Vyshnavi Malathi Ramesh, N. J. Rao and Chandrashekar Ramanathan, Implementation of an Intelligent Tutoring System using Moodle, 2015 IEEE Frontiers in Education Conference (FIE), El Paso, TX, 2015, pp. 1-9.

doi: 10.1109/FIE.2015.7344313

Shilpi Banerjee, Chandrashekar Ramanathan and N. J. Rao, An approach to automatic evaluation of higher cognitive levels assessment items, 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), Amritsar, 2015, pp. 342-347. doi: 10.1109/MITE.2015.7375342

A Lalingkar, Chandrashekar Ramanathan, S Ramani, MONTO: A Machine-Readable Ontology for Teaching Word Problems in Mathematics. Educational Technology & Society 18 (3), 197-213

A. Lalingkar, Chandrashekar Ramanathan and S. Ramani, "Ontology-based smart learning environment for teaching word problems in mathematics", Emerging Issues in Smart Learning, Springer Berlin Heidelberg, 2015. pp. 251-258.

Yogalakshmi Jayabal and Chandrashekar Ramanathan, Mutual information based weighted fuzzy clustering, 2014 International Conference on Contemporary Computing and Informatics (IC3I), Mysore, 2014, pp. 789-794.

doi: 10.1109/IC3I.2014.7019611

Shilpi Banerjee, Chandrashekar Ramanathan, Automatic Generation of Valid and  Equivalent Assessment Instruments, Springer International Conference on Smart Learning Environment, 2014.

Shilpi Banerjee, N. J. Rao, Chandrashekar Ramanathan and Vyshnavi Malathi Ramesh, Design of Valid Summative Assessment Instruments in Formal Higher Education Programs, 2014 IEEE Sixth International Conference on Technology for Education, Clappana, 2014, pp. 76-79. doi: 10.1109/T4E.2014.52

Yogalakshmi Jayabal, Chandrashekar Ramanathan, Mutual information based weighted fuzzy clustering, 2014 International Conference on Contemporary Computing and Informatics (IC3I), Mysore, 2014, pp. 789-794.
doi: 10.1109/IC3I.2014.7019611

Yadav Vivek and Chandrashekar Ramanathan, "Automated Layout Preservation in Cross Language Translation of Document : An Integrated Approach and Implementation” In Proceedings of the 7th ACM COMPUTE Conference, 2014.

Yogalakshmi Jayabal, Chandrashekar Ramanathan, Clustering Students based on Student's Performance - A Partial Least Squares Path Modeling (PLS-PM) Study, Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Computer Science Volume 8556, 2014, pp 393-407

Vyshnavi Malathi Ramesh and Chandrashekar Ramanathan, A rubric to Evaluate Learning Management Systems, Proceedings of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), Bali, 2013, pp. 73-77. doi: 10.1109/TALE.2013.6654402

JM Bass, Chandrashekar Ramanathan, JT Lalchandani, Software engineering: learning, employment and globalization, Higher Education Academy, STEM Annual Learning and Teaching Conference 2013.

Yogalakshmi Jayabal, Chandrashekar Ramanathan, and Mehul Jayprakash Sheth. 2012. Challenges in generating bookmarks from TOC entries in e-books. In Proceedings of the 2012 ACM symposium on Document engineering (DocEng '12). ACM, New York, NY, USA, 37-40. DOI=http://dx.doi.org/10.1145/2361354.2361363

Sriganesh, Sujithra; Chandrashekar Ramanathan; "Externalizing Business Rules from Business Processes for Model Based Testing," Special session on Model based testing and engineering. IEEE International Conference on Industrial Technology 2012, 19-21 March 2012, Athens, Greece.

Lalingkar, A.; Chandrashekar Ramanathan,; Ramani, S.; , "An Educational Resources Broker System for Collaborative Sharing of Knowledge-Centric Content," Technology for Education (T4E), 2011 IEEE International Conference on , vol., no., pp.61-68, 14-16 July 2011

Prabhu, S.S.; Chandrashekar Ramanathan; Prakash, P.V.S.K.; Madishetty, B.; , "PAL: An Interactive Learning Platform for Primary Education," Technology for Education (T4E), 2011 IEEE International Conference on , vol., no., pp.258-261, 14-16 July 2011

Chandrashekar Ramanathan, N Gayal, M Sheth, A Pendyala, A system for managing SCORM-compliant learning objects, Technology for Education (T4E), 2011 IEEE International Conference on, 208-211

Sujithra S, Sudha M, Vivek Kumar Singh, Chandrashekar Ramanathan, A Model Based Approach for White Box Testing, Proc. ASME Conference in  Information and Software Engineering(ICSIE), 2011

Pankaj Parakh, Balkrishnan V, Chandrashekar Ramanathan, SCORM for e-Learning: Towards implementing a collaborative learning platform.  Proceedings of the 2nd annual international conference on Technology for Education, T4E 2010, July 1-3, Mumbai, India.

Thaper, Manish and Ramanathan, Chandrashekar. UMLAssure: A UML pro???le assuring a secure software, Proceedings of the 2009 International Conference on Software Technology and Engineering, World Scienti???c Press, July 24-26, 2009.

Nine international publications internal to Hewlett Packard on various topics: Enterprise Content Management, Enterprise Architecture Frameworks, Document Processing, Digital Pen applications, Knowledge Management, Database Strategies.

Ramanathan, Chandrashekar. and Hodges, J. Extraction of Object-Oriented Structures from Existing Relational Databases, ACM SIGMOD Record, March 1997.

Ramanathan, Chandrashekar. and Koduri, S. An Object-Oriented prototype for a Geophysical Database. In Proceeding of the 27th IEEE Southeastern Symposium on System Theory held in Starkville, Mississippi, 1995.

Dongmei Wu, Hui Sun, J.E. Hodges, C. Ramanathan, K. Sridhar, S.M. Bridges, "Recognizing patterns of errors in scientific data," ssst, pp.97, 27th Southeastern Symposium on System Theory (SSST'95), 1995

Ramanathan, Chandrashekar. Providing Object-Oriented Access to a Relational Database. In Proceeding of the ACM 32nd Annual Southeast Conference held in Tuscaloosa, Alabama, 17-18 March 1994: 162-165, edited by David Cordees and Susan Vrbsky, New York: ACM Press.

Current courses:

  • Data Modeling
  • Software Architecture
  • Database Systems
  • Enterprise Software Development

Past courses:

  • Data Management
  • Enterprise Information Management
  • Programming II (C++)
  • IT Infrastructure
  • Software Testing
  • Information Management

Research Centers (Principal Investigator)

  • Machine Intelligence and Robotics Center  (www.minro.org)
  • Center for Technology Research and Innovation - Digital Governance

Research Labs (active)

  • Information Convergence Lab

Research Labs (inactive)

  • Document Engineering Lab
  • Technology for Education