Abhishek Srivastava

The broad area of my research is service-oriented systems most commonly realised through web-services. More recently, my group has been interested in applying these ideas in the realm of Internet of Things. The ideas explored include coming up with technology agnostic solutions for seamlessly linking heterogeneous IoT deployments across domains. Further, we are also delving into utilising Machine Learning adapted for constrained environments to effectively make sense of the huge amounts of data that emanate from the vast network of IoT deployments. An important use case of this are translation models that we try to 'fit' into such tiny devices.

Prior to this, I was an Assistant Professor with the Department of Computer Science & Software Engineering at Rose-Hulman Institute of Technology, USA, for one academic year (September 2011 - May 2012).  I have a Ph.D. from the Department of Computing Science, University of Alberta, Canada. My Ph.D. supervisor is Dr. Paul G. Sorenson. I was into academics even before this while working as a Lecturer in the Department of Computer Science & Engineering at the Birla Institute of Technology, Mesra, India.

Academic Experience

• Professor, Computer Science & Engineering   IIT Indore, 2022 - continuing

• Associate Professor, Computer Science & Engineering                                     IIT Indore, 2017 - 2022

• Assistant Professor, Computer Science & Engineering                                     IIT Indore,  2012 - 2017

• Assistant Professor, Computer Science & Software Engineering                             Rose-Hulman Institute of Technology, USA, 2011 - 2012

Administrative Responsibilities

• Head,  Computer Science and Engineering

      IIT Indore, 2012 - 2015

• Dean, Student Affairs

IIT Indore, 2015 - 2018

• Dean, Faculty Affairs

IIT Indore, 2022 - 2026

Awards/Honours/Fellowships

• Visiting Fellowship Award

 University of Jyväskylä, Finland, 2026

• Coaching Award

International Collegiate Programming Contest, 2024

• Teaching Excellence Award

      IIT Indore, 2018-19

• Teaching Excellence Award

 IIT Indore, 2017-18

Sponsored Research/Consultancy Projects

• MobileHealth: Mobile Application for customised Healthcare and Support for Rural Environments; Funding Agency: Charak Centre for Digital Healthcare, DST; Role: Principal Investigator (2026-2028)

• Ensuring Data Security in IoT Environments through Machine Learning Techniques; Funding Agency: IITI DRISHTI CPS Foundation under NM-ICPS; Role: Principal Investigator (2022-2023)

• An approach to localise fires and optimise distribution of fire detection nodes at the Melghat Tiger Reserve; Funding Agency: Defries-Bajpai Foundation, USA; Role: Principal Investigator (2022-2024)

• Use of Hidden Markov Models to Effectively Assess Rumours on Social Networks; Funding Agency: Science and Engineering Research Board, Government of India (MATRICS scheme); Role: Principal Investigator (2020-2023)

• Transnational Partnership for Excellent Research and Education in Disruptive Technologies for a Resilient Future; Funding Agency: Research Council of Norway (An INTPART Project); Role: Indian Principal Investigator (2020-2023)

• Use of Machine Learning Techniques for Improved Surveillance of the Melghat Tiger Reserve; Funding agency: Defries-Bajpai Foundation, USA; Role: Principal Investigator (2019-2021)

• Design and Development of Large-Scale Ambient Energy Harvesting Wireless Networks (LargEWiN); Funding agency: BRICS Multilateral Research and Development Projects; Role: Co-investigator  (2019-2022)

• Process Documentation for ‘Samagra’ Portal of Govt. of Madhya Pradesh; Funding agency: UNICEF; Role: Co-Investigator (project concluded in 2018)

• Design and Development of an Automated Surveillance System using Wireless Sensor Networks for the Melghat Tiger Reserve; Funding agency: Defries-Bajpai Foundation, USA; Role: Principal Investigator (project concluded in 2019)

• Raw Material Combination Planning for Transmission Line Towers; Funding agency: L & T Construction; Role: Principal Investigator (project concluded in 2016).

Current students

As a researcher I feel the most valuable resources that I have are my students. I have worked with eleven Ph.D. students, and eleven Masters' students, until now.

Ph.D. students

Sudhanshu Trivedi: Sudhanshu joined our group in the Autumn semester of 2024. His project is towards augmenting assisted living environments through gesture recognitions within tiny resource constrained deployments.

Urvi Upadhyay: Urvi joined our group in the Spring semester of 2026. Her project is towards extending the ideas of modern AI and machine learning into the real physical world.

Vanshika Patil: Vanshika joined our group in the Autumn semester of 2026. Her work is directed at the use of AI and ML in the domain of healthcare.

Masters' students

Srishthy Agrawal: Srishthy joined our group in the Autumn semester of 2025. Her work is towards the use of energy based models in triggering actuaations in the real world.

Sagar Kumar Sah: Sagar joined our group in the Autumn semester of 2025. His work is towards gaining an understanding of the various improvisations in the transformer architecture and assessing these against common benchmarks.

Graduated students

Ph.D. students

Tanveer Ahmed: Tanveer successfully defended his thesis in August 2018. His work was towards exploring and understanding the 'human in the loop' in otherwise automated environments. Tanveer is currently with Bennett University.

Rohit Verma: Rohit's project was geared towards developing effective means for hosting web-services using mobile devices being carried around by the crowd. The aim was to form useful composite web applications between the web-services hosted over such mobile devices. Rohit is currently serving as Assistant Professor with the National College of Ireland.

Dheeraj Rane: Dheeraj's research mainly involved the economic aspects of Cloud Computing. He worked towards the automation and dynamic up-gradation of SLA documents for services hosted on the cloud. Dheeraj is currently associated with IIT Indore DRISHTI CPS Foundation.

Gyan Prakash Tiwary: Gyan's work looked into issues of security in web-services over mobile devices and constrained environments like those of Internet of Things. Gyan is currently associated with Amazon as a Research Scientist.

Arun Kumar: Arun's work involved optimisation Machine Learning algorithms to make them effectively functional within the constrained environments of IoT nodes.  Arun is now working as an Assistant Professor with NIT Jalandhar.

Ankit Kumar Jain: Ankit's work was towards the use of Learning algorithms for better assessment of low quality videos especially those that could potentially help in alleviating disasters. Ankit is associated with the South Asian University as an Assistant Professor.

Rupendra Pratap Singh Hada: Rupendra's project was towards localisation of events within deployment wireless sensor networks.

Shekhar Tyagi: Shekhar's work was towards evolving deployment mechanisms for wireless sensor networks in inhospitable terrains. Shekhar is now with Victoria University as an Assistant Professor.

Masters' students

Prarthi Jain: Prarthi's work was towards optimising machine learning algorithms for resource constrained environments. She is currently working with Dexterity, Inc.

Utkarsh Agrawal: Utkarsh's work was towards localisation of nodes in wireless sensor networks. He is currently working with Qaulcomm as a Senior Software Engineer.

Anil: Anil contributed towards better understanding of deployment of sensor nodes in indoor environments.

Ritu Munot: Ritu worked towards developing superior natural language processing algorithms for detecting rumours in social media. She is working with John Deere.

Shibani Das: Shibani's work was towards the extension of ontologies for wireless sensor networks especially geared for early detection of forest fires. She is currently pursuing a Ph.D. at Louisiana State University.

Drishti Sharma: Drishti's thesis was directed towards effective detection of rumours in social media through appropriate machine learning algorithms. She is currently associated with MathWorks.

Urvesh Trivedi: Urvesh's  work looked into the use of learning algorithms for early detection of ROP (an eye condition) amongst infants. He is currently an AI/ML Engineer with Thinkhat.

Himanshu Mishra: Himanshu's  work was towards automated translations between low resource languages harnessing an appropriate pivot. He is currently associated with MathWorks.

Money Bansal: Money's  work was also towards automated translations between low resource languages harnessing an appropriate pivot. 

Peer Reviewed Publications

Please note that in the field of Computer Science, unlike a lot of other disciplines, conference publications are peer reviewed. Several conferences have very low acceptance rates and are considered as significant if not more than most reputed journals in the field. An interesting article on this can be found here. 

• Urvesh Trivedi, Abhishek Srivastava, Pratik Mahajan, Macretina: a dataset, to support deep learning assisted retinopathy of prematurity diagnosis, Nature Scientific Reports, 2026.

• Rupendra Hada, Abhishek Srivastava, A Hybrid Approach for localisation of Sensor Nodes in Remote Locations, ACM Transactions on Sensor Networks, 2025.

• Rupendra Hada, Abhishek Srivastava, Dynamic Cluster Head Selection in WSN, ACM Transactions on Embedded Computing Systems, 2024.

• Ankit Jain, Rajendra Akerkar, Abhishek Srivastava, Privacy-Preserving Human Activity Recognition System for Assisted Living Environments, IEEE Transactions on Artificial Intelligence, 2023.

• Arun Kumar, Zhijie Wang, Abhishek Srivastava, A Novel Approach for Classification in Resource Constrained Environments, ACM Transactions on Internet of Things, 2022.

• Seemandhar Jain, Prarthi Jain, Prabhat K. Upadhyay, Jules M. Moualeu, Abhishek Srivastava, An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks, ACM Transactions on Computing for Healthcare, 2022.

• Ankit Jain,  Abhishek Srivastava, Privacy-Preserving Efficient Fire Detection System for Indoor Surveillance, IEEE Transactions on Industrial Informatics, 2021.

• Prarthi Jain, Seemandhar Jain, Osmar Zaiane, Abhishek Srivastava, Anomaly Detection in Resource Constrained Environments with Streaming Data, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021.

• Alok K. Shukla,, Abhishek Srivastava, Jules M. Moualeu, Enabling Co-Existence of Cognitive Sensor Nodes with Energy Harvesting in Body Area Networks, IEEE Sensors Journal, 2021.

• Gyan Prakash Tiwary, Eleni Stroulia, Abhishek Srivastava, Compression of XML and JSON API Responses, IEEE Access, 2021.

• Gyan Prakash Tiwary, Eleni Stroulia, Abhishek Srivastava, Improving Privacy in Data Service Composition, IEEE Access, 2021.

• Tanveer Ahmed, Abhishek Srivastava, Combining Humans and Machines for the Future: A Novel Procedure to Predict Human Interest, Future Generation Computer Systems, Elsevier, 2019.

• Rohit Verma, Abhishek Srivastava, A Dynamic Service Description for Mobile Environments, Computing, Springer, 2018.

• Tanveer Ahmed, Abhishek Srivastava, Analysing crowdsourcing to teach mobile crowd-sensing a few lessons, Cognition Technology & Work, Springer, 2018.

• Tanveer Ahmed, Abhishek Srivastava, A Prototype Model to Predict Human Interest: Data Based Design to Combine Humans and Machines, IEEE Transactions on Emerging Topics in Computing, 2017.

• Tanveer Ahmed, Abhishek Srivastava, An Automated Approach to Estimate Interest, Applied Intelligence, Springer, 2017.

• Tanveer Ahmed, Abhishek Srivastava, Understanding and Evaluating the Behaviour of Technical Uses, A Study of Developer Interaction at StackOverflow, Human-centric Computing Information Sciences, Springer, 2017.

• Rohit Verma, Abhishek Srivastava, A Dynamic Web Service Registry Framework for Mobile Environments, Peer to Peer Networking and Applications, Springer, 2016.

• Tanveer Ahmed, Abhishek Srivastava, OMC2: Opportunistic Mobile Computing and CrowdSensing, International Journal of Mobile Network Design and Innovation, Inderscience, 2016.

• Tanveer Ahmed, Abhishek Srivastava, Predicting Human Interest: An Application of Artificial Intelligence and Uncertainty Quantification, Journal of Uncertainty Analysis and Applications, Springer, 2016.

• Rohit Verma, Abhishek Srivastava, Towards Service Description for Mobile Environments. In Proceedings of the 12th IEEE International Conference on Services Computing (SCC), New York City, June 2015.

• Dheeraj Rane, Abhishek Srivastava, Cloud Brokering Architecture for Dynamic Placement of Virtual Machines, In Proceedings of the 8th IEEE International Conference on Cloud Computing (CLOUD), New York City, June 2015.

• Tanveer Ahmed, Abhishek Srivastava, A Novel Physics Inspired Approach for Web-service Composition, International Journal of Web Services and Research, IGI Global, Vol. 11 Issue. 2, 2014.

• Tanveer Ahmed, Abhishek Srivastava, Choreographing Services Over Mobile Devices, In Proceedings of the 12th International Conference on Service-Oriented Computing (ICSOC), Paris, November 2014.

• Tanveer Ahmed, Michael Mrissa, Abhishek Srivastava, MagEl: A Magneto-Electric Effect-Inspired Approach for Web Service Composition, In Proceedings of the 21st IEEE International Conference on Web-Services (ICWS), Anchorage, Alaska, June 2014. [pdf]

• Tanveer Ahmed, Abhinav Tripathi, Abhishek Srivastava, Rain4Service: An approach towards Decentralized Web Service Composition, In Proceedings of the 11th IEEE International Services  Computing Conference (SCC), Anchorage, Alaska, June 2014. [pdf]

• Rohit Verma, Abhishek Srivastava, A Novel Web Service Directory Framework for Mobile  Environments, In Proceedings of the 21st IEEE International Conference on Web-Services (ICWS), Anchorage, Alaska, June 2014. [pdf]

• Tanveer Ahmed, Abhishek Srivastava, Service Choreography: Present and Future, In Proceedings of the 11th IEEE International Services Computing Conference (SCC), Work In Progress Track, Anchorage, Alaska, June 2014. [pdf]

• Rohit Verma, Tanveer Ahmed, Abhishek Srivastava, Expressing Workflow and Workflow Enactment using P Systems, In Proceedings of the 15th International Conference on Membrane Computing (CMC), Prague, Czech Republic, August 2014.

• Tanveer Ahmed, Rohit Verma, Miroojin Bakshi, Abhishek Srivastava, Membrane Computing Inspired Approach for Executing Scientific Workflow in the Cloud, In Proceedings of the 15th International Conference on Membrane Computing (CMC), Prague, Czech Republic, August 2014.

• Tanveer Ahmed, Abhishek Srivastava, Minimizing Waiting-time for Service Compositions: A Frictional Approach, In Proceedings of the 11th IEEE International Conference on Web-Services, Santa Clara, California, June 2013. 

• Rohit Verma, Sushmita Ruj, Abhishek Srivastava, Security Verification using Crowd Sourcing, In Proceedings of  the Security and Privacy Symposium, IIT Kanpur, India, February 2013.

• Abhishek Srivastava, Paul G. Sorenson, Service Reliability Assessment in a Composition Environment, Lecture Notes in Business Information Processing, Springer-Verlag, Volume 75, pp. 30-45,  2011.

• Abhishek Srivastava, Paul G. Sorenson, Service Selection Using the Customer Preferences of Non-functional Attributes, Handbook of Research on Non-functional Properties for Service Oriented Systems: Future Directions, IGI Global, pp. 279-296, 2011.

• Abhishek Srivastava, Paul G. Sorenson, The Validation of a Dynamic Service Composition Model using a Simple Game, In Proceedings of the International Conference on Knowledge Management and Information Sharing (KMIS), Valencia, Spain, October 2010. [pdf]

• Abhishek Srivastava, Paul G. Sorenson, Service Selection based on Customer Rating of Quality of Service Attributes, In Proceedings of the 8th IEEE International Conference on Web Services, Miami, Florida, July 2010. [pdf]

• Abhishek Srivastava, Paul G. Sorenson, Utilizing the Waiting-time Criterion for Selecting Services in a Composition Scenario, In Proceedings of the 7th IEEE International Conference on Services Computing (SCC), Miami, Florida, July 2010. [pdf]

• Abhishek Srivastava, Paul G. Sorenson, The Influence of Service Interactions on Individual Service Reliability in a Composition Scenario, In Proceedings of the 6th International Conference on Web Information Systems and Technologies (WEBIST), Valencia, Spain, April 2010. 

• Xian Chen, Abhishek Srivastava, Paul G. Sorenson, Towards a QoS-focused SaaS Evaluation Model, Cloud Computing and Software Services, CRC Press, 2009.

• Abhishek Srivastava, Osmar R. Zaiane, Maria-Luiza Antony, Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification, In Proceedings of the 11th International Database Engineering and Applications Symposium (IDEAS), Banff, Canada, September 2007.

• Abhishek Srivastava, S. C. Goel, A Refinement of the Category-Partition Method of Testing, In Proceedings of the National Conference on Software Engineering Principles and Practices (SEPP), Patiala, India, March 2004.

Copyright notice: Several papers are available for download. The papers are included here by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder(s).

Teaching

I have always thoroughly enjoyed my teaching commitments and was honoured to receive the 'Teaching Excellence Award' at IIT Indore consecutively for the academic years 2017-18, and 2018-19.

The list of courses that I have had a chance to teach are as follows:

IIT Indore

❖ CS 103 Computer Programming

❖ CS 203 Data Structures and Algorithms

❖ CS 208 Software Engineering

❖ CS 305 Computer Architecture

Rose-Hulman Institute of Technology

❖ CSSE  220 Object-Oriented Software Development

❖ CSSE 372 Software Project Management

❖ CSSE 578 Software Construction

Birla Institute of Technology, Mesra

❖ CP 2101 Data Structures in C++

❖ CP 4107 Operating Systems

❖ CP 6109 Software Engineering

❖ MSE 1003 Object Oriented Modelling and Design

Media Coverage

❖ Interview on our fire detection endeavours with INDIAai , June 2021

❖ Times of India, September 2021

Contact

402 Scandium, POD 1 A

Discipline of Computer Science & Engineering

Indian Institute of Technology Indore

Simrol, Indore

Phone: +91-731-6603248

Cell: +91-78985-15660

Email: asrivastava[AT]iiti.ac.in

My CV is available here.