Department of Computer Science & Engineering

Patents:

1. Amrita Chaturvedi, Shashank Kumar Singh, "A System for Handwritten Character Recognition", Indian Patent Granted, Patent No. 589620, Granted on 18.05.2026 by The Patent Office, Government of India.

2. Amrita Chaturvedi, Shashank Kumar Singh, "A System and Method for Hand Grasp Classification", Indian Patent Granted, Patent No. 591714, Granted on 09.06.2026 by The Patent Office, Government of India.

Peer Reviewed Journals:

1. Rakesh Kumar, Amrita Chaturvedi: Unsupervised Software Defect Prediction in Haskell: A Metrics-Driven Ensemble Approach Using Function-Level Thresholding. In: Arabian Journal for Science and Engineering (Springer Nature) (2026). (accepted)

2. Shruti Bajpai, Amrita Chaturvedi: Evaluating Multi-Criteria Decision Making Methods for Influential Nodes Selection in Social Networks: A Review. In: Multimedia Tools and Applications (Springer Nature) (2025).

3. Rakesh Kumar, Amrita Chaturvedi: An unsupervised software bug count prediction model based on selected software metrics. In: Applied Intelligence (Springer Nature), vol. 55, article 760, pp. 1 – 27 (2025).

4. Shashank Kumar Singh, Amrita Chaturvedi: A Cooperative Game Theory-based Feature Selection for Efficient Hand Grasp Classification using Minimal Number of sEMG Signals. In: ACM Transactions on Computing for Healthcare, vol. 6, no. 1, article 4, pp. 1 – 22 (2025).

5. Shruti Bajpai, Amrita Chaturvedi: Towards Detecting Rumor Initiator in Online Social Networks using Ontology Driven Model. In: Arabian Journal for Science and Engineering (Springer Nature), vol. 50, pp. 661 - 677 (2025). doi: https://doi.org/10.1007/s13369-024-08852-7

6. Shashank Kumar Singh, Amrita Chaturvedi:  An Efficient Multi-modal Sensors Feature Fusion Approach for Handwritten Characters Recognition using Shapley Values and Deep Autoencoder. In: Engineering Applications of Artificial Intelligence (Elsevier), vol. 138, pp. 109225 (2024).

7. Shruti Bajpai, Amrita Chaturvedi: A Multi-criteria Decision Making based Integrated Approach for Rumor Prevention in Social Networks. In: Multimedia Tools and Applications (Springer Nature), vol. 83, pp. 1 - 26 (2024). doi: https://doi.org/10.1007/s11042-024-18419-1.

8. Rakesh Kumar, Amrita Chaturvedi: Software Bug Prediction using Reward-based Weighted Majority Voting Ensemble Technique. In: IEEE Transactions on Reliability, vol. 73, no. 1, pp. 726-740 (2023).

9. Shashank Kumar Singh, Amrita Chaturvedi: A Reliable and Efficient Machine Learning Pipeline for American Sign Language Gesture Recognition using EMG Sensors. In: Multimedia Tools and Applications (Springer Nature), Vol. 82, pp 23833–23871 (Springer Nature) (2023).

10. Vaibhav Padhye, Kailasam Lakshmanan, Amrita Chaturvedi: Proximal Policy Optimization based Hybrid Recommender Systems for Large Scale Recommendations. In: Multimedia Tools and Applications (Springer Nature), Vol. 82, pp 20079–20100 (Springer Nature) (2023).

11. Shashank Kumar Singh, Amrita Chaturvedi: Leveraging Deep Feature Learning for Wearable Sensors based Handwritten Character Recognition. In: Biomedical Signal Processing and Control (Elsevier), Vol. 80, Part 1, pp 104198 (2023). 

12. Anurag Tiwari, Amrita Chaturvedi: Automatic Channel Selection using Multi-objective X-shaped Binary Butterfly algorithm for Motor Imagery Classification. In: Expert Systems With Applications (Elsevier), Vol 206, 117757, (2022).

13. Dipty Tripathi, Amit Biswas, Anil Kumar Tripathi, Lalit Kumar Singh, Amrita Chaturvedi: An Integrated Approach of Designing Functionality with Security for Distributed Cyber-Physical Systems. In: The Journal of Supercomputing (Springer Nature), Vol 78, pp 14813-14845 (2022). https://doi.org/10.1007/s11227-022-04481-9

14. Anurag Tiwari, Amrita Chaturvedi: Automatic EEG Channel Selection for Multiclass Brain-Computer Interface Classification using Multiobjective Improved Firefly Algorithm. In: Multimedia Tools and Applications (Springer Nature), Vol 82, No. 4, pp 5405–5433 (2022).

15. Rakesh Kumar, Amrita Chaturvedi, Lakshmanan Kailasam: An Unsupervised Software Fault Prediction Approach using Threshold Derivation. In: IEEE Transactions on Reliability, Vol. 71, No.2, pp 911 – 932. (2022), doi: 10.1109/TR.2022.3151125.

16. Anurag Tiwari, Amrita Chaturvedi: A Hybrid Feature Selection Approach based on Information Theory and Dynamic Butterfly Optimization Algorithm for Data Classification. In: Expert Systems with Applications (Elsevier), Vol. 196, 116621 (2022).

17. Dipty Tripathi, Lalit Kumar Singh, A. K. Tripathi, Amrita Chaturvedi: Towards Analyzing the Impact of Intrusion Prevention and Response on Cyber-Physical System Availability: A case study of NPP. In: Annals of Nuclear Energy (Elsevier), Vol.168. (2022) 108863.

18. Anurag Tiwari, Amrita Chaturvedi: A Novel Channel Selection Method for BCI Classification Using Dynamic Channel Relevance. In: IEEE Access, Vol. 9, pp 126698-126716 (September 2021). doi: 10.1109/ACCESS.2021.3110882.

19. Devesh Manjhi, Amrita Chaturvedi: Reuse Estimate and Interval Prediction using MOGA-NN and RBF-NN in the Functional Paradigm. In: Science of Computer Programming (Elsevier), Volume 208, pp 102643 (August 2021) 24 pages.

20. Dipty Tripathi, Lalit Kumar Singh, A. K. Tripathi, Amrita Chaturvedi: Model Based Security Verification of Cyber-Physical System based on Petrinet: A Case Study of Nuclear Power Plant. In: Annals of Nuclear Energy (Elsevier), Vol. 159. (September 2021) 108306.

21. Luca Saba, Anurag Tiwari, Mainak Biwas, Suneet K. Gupta, Elisa Godia – Cuadrado, Amrita Chaturvedi et al: Wilson’s Disease: A New Perspective Review on its Genetics, Diagnosis and Treatment. In: Frontiers of Bioscience (Elite Edition), Vol. 11, Issue 1. (June 2019) 166 – 185.

22. Amrita Chaturvedi, Prabhakar T.V.: Ontology Driven Creational Design Patterns as Reusable Components. In: ACM Applied Computing Review Journal, ACM Press, Vol 14, 1, pp 6 - 19. (2014)

Peer Reviewed Conferences:

1. Shashank Kumar Singh, Amrita Chaturvedi: Machine Learning for Sensor-based Handwritten Character Recognition: A Brief Survey. In: The 21st International Conference on Distributed Computing and Intelligent Technology (ICDCIT 2025), KIIT Bhubaneswar, India, Lecture Notes in Computer Science (LNCS), Springer, Vol. 15507, pp. 288 - 305. (08-11 January 2025)

2. Shashank Kumar Singh, Amrita Chaturvedi: Leveraging Handwriting Dynamics, Explainable AI and Machine Learning for Alzheimer Prediction. In: The 6th International Conference on Computational Intelligence in Communications, and Business Analytics (CICBA 2024), NIT Patna, India, Communications in Computer and Information Science (CCIS), Springer, Vol. 2366, pp. 338 - 351. (January 2024)

3. Purushottam Tiwari, Zope Sumedh Murlidhar, Amrita Chaturvedi, Shashank Kumar Singh: Ensemble Models for Vulnerability Prediction using Code Metrics. In: The 8th International Conference on Soft Computing: Theories and Applications (SoCTA 2023) (Springer), Lecture Notes in Networks and Systems (LNNS), Vol. 971, pp 11-21, IIIT Una, India. (December 2023)

4. Rakesh Kumar, Amrita Chaturvedi: Software Bug Count Prediction Model based on Software Source Code. In: The 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2023) (IEEE), pp 1-6, IIT Delhi, India (6-8 July 2023).

5. Shashank Kumar Singh, Amrita Chaturvedi: Applying Machine Learning for American Sign Language Recognition: A Brief Survey. In: The 4th International Conference on Communication and Intelligent Systems (ICCIS 2022) (Springer), NIT Delhi, India, Lecture Notes in Networks and Systems (LNNS), Springer, Vol 689, pp 297-309. (December 2022)

6. Rakesh Kumar, Amrita Chaturvedi: A Framework for Software Defect Prediction using Optimal Hyper-parameters of Deep Neural Network. In: The 29th International Conference on Neural Information Processing (ICONIP 2022), IIT Indore, India, Communications in Computer and Information Science (CCIS), Springer, Vol 1794, pp 163-174. (November 2022)

7. Pankaj Kumar Jha, Anurag Tiwari, Amrita Chaturvedi: A Multiclass EEG Signal Classification Model using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition. In: The 29th International Conference on Neural Information Processing (ICONIP 2022), IIT Indore, India, Lecture Notes in Computer Science (LNCS), Springer, Vol 13624, pp 86-100. (November 2022)

8. Supriya Shakya, Arnab Mukherjee, Raju Halder, Abyayananda Maiti, Amrita Chaturvedi: SmartMixModel: Machine Learning-based Vulnerability Detection of Solidity Smart Contracts. In: IEEE International Conference on Blockchain (Blockchain), Espoo, Finland. (August 2022) pp. 37-44, doi: 10.1109/Blockchain55522.2022.00016.

9. Rakesh Kumar, Amrita Chaturvedi: Software Fault Prediction using Data Mining Techniques on Software Metrics. In: International Conference on Machine Learning and Big Data Analytics (ICMLBDA), Indian Institute of Technology, Patna, India, Lecture Notes in Networks and Systems, vol 256., SPRINGER AISC Series, pp 304 - 313. (March 2021)

10. Shashank Kumar Singh, Amrita Chaturvedi, Alok Prakash:  Applying Extreme Gradient Boosting for Surface EMG based Sign Language recognition. In: International Conference on Machine Learning and Big Data Analytics (ICMLBDA), Indian Institute of Technology, Patna, India, Lecture Notes in Networks and Systems, vol 256., SPRINGER AISC Series, pp 175 - 185. (March 2021)

11. Shashank Kumar Singh, Amrita Chaturvedi: Applying Deep Learning for Discovery and Analysis of Software Vulnerabilities: A Brief Survey. In: International Conference on Soft Computing: Theories and Applications (SoCTA 2019), NIT Patna, India, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 1154, pp 649 - 658. (December 2019) (Best Student Paper Award)

12. Anurag Tiwari, Amrita Chaturvedi: A Multiclass EEG Signal Classification Model using Spatial Feature Extraction and XGBoost Algorithm. In: 32nd IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Macau, China. (November 2019) pp. 4169-4175, doi: 10.1109/IROS40897.2019.8967868.

13. Shruti Bajpai, Amrita Chaturvedi: Ontology Driven Framework to Automatically Generate University Time Table. In: International Conference on Communication and Intelligent Systems (ICCIS 2019), Jaipur, India, Lecture Notes in Networks and Systems, Springer, Vol 120, pp 77 - 87. (November 2019)

14. Devesh Manjhi, Amrita Chaturvedi: Software Component Reusability Classification in Functional Paradigm. In: IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2019), Coimbatore, India. (February 2019) pp 1 – 7, doi: 10.1109/ICECCT.2019.8869123.

15. Dipti Tripathi, Ashish Kumar Maurya, Amrita Chaturvedi, Anil Kumar Tripathi: A Study of Security Modelling Techniques for Smart Systems. In: IEEE Computers and IT Conference (Com-IT-Com 2019), India. (February 2019) pp 87-92, doi: 10.1109/COMITCon.2019.8862443.

16. Diganta Misra, Anurag Tiwari, Amrita Chaturvedi: Large-Scale Meta-Analysis of Genes Encoding Pattern in Wilson's Disease. In: International Conference on Computer Communication and Computational Sciences (IC4S 2018), Bangkok, Thailand, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 924, pp 389–400. (October 2018) (Best Paper Award)

17. Shivam Chaturvedi, Amrita Chaturvedi, Anurag Tiwari and Shalini Agarwal: Design Pattern Detection using Machine Learning Techniques. In: 7th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO 2018), Noida, India. (August 2018) pp 1 - 6, doi: 10.1109/ICRITO.2018.8748282.

18. Shivam Chaturvedi, Amrita Chaturvedi, Anurag Tiwari: Design Pattern Detection using Probabilistic Analysis of Dataset and Soft Computing Techniques. In: Third Indian Workshop on Machine Learning (iWML 2018), IIT (BHU) Varanasi, India. (July 2018)

19. Aditya Vardhan, Amrita Chaturvedi: Ontology Driven Shopping Cart: A Comparative Analysis. In: Springer Communications in Computer and Information Science (CCIS 2017), Springer, Singapore, Vol 750. (2017)

20. Anurag Tiwari, Amrita Chaturvedi, "Class Partition Approach for Software Effort Estimation using Support Vector Machine," 2016 IEEE International Conference on Electrical, Computer and Electronics Engineering (UPCON 2016), Varanasi, India. (December 2016) pp 653-659 doi: 10.1109/UPCON.2016.789473

21. Amrita Chaturvedi, Prabhakar T.V.: Ontology Driven Builder Pattern – A Plug and Play Component. In: The 29th ACM Symposium on Applied Computing (ACM SAC 2014), ACM Press, Gyeongju, Korea. (March 2014) pp 1055 - 1057, https://doi.org/10.1145/2554850.2555164

22. Amrita Chaturvedi, Prabhakar T.V.: Ontology Driven Creational Design Patterns – Creating Objects on the Fly. In: Proceedings of International Conference on Reliable and Convergent Systems (ACM RACS 2013), ACM Press, Montreal, Canada. (October 2013) pp 365 – 372, https://doi.org/10.1145/2513228.2513243 

23. Amrita Chaturvedi, Prabhakar T.V.: Ontology Driven Observer Pattern. In: International Workshop on Ontologies meet Advanced Information Systems (OAIS 2013) in conjunction with 17th East-European Conference on Advances in Databases and Information Systems (ADBIS 2013), Genova, Italy, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 241, pp 307–316. (September 2013)

24. Amrita Chaturvedi, Prabhakar T.V.: Ontological Visitor Pattern. In: Proceedings of Indian Conference on Patterns and Pattern Languages of Programs (GuruPLoP 2013), Bangalore, India. (March 2013)

25. Amrita Chaturvedi, Prabhakar T.V.: Ontology - Driven MVC: A Variant of MVC Architectural Style. In: Proceedings of the International Conference on Software Engineering and New Technologies (ICSENT'2012), Hammamet, Tunisia. (December 2012) pp 158 - 174 (Best Paper Award).

Book Chapter

1. Amit Sinha, Suneet Kumar Gupta, Anurag Tiwari, Amrita Chaturvedi: Deep learning: An overview and innovative approach in machine learning. Book chapter in Hidden Link Prediction in Stochastic Social Networks, IGI Global.
2. Amrita Chaturvedi, Prabhakar T.V.: Ontology - driven mvc: A variant of mvc architectural style. Book chapter in Business Intelligence and Mobile Technology Research: An Information Engineering Perspective, edt. by Sean Eom (Cambridge Scholars Publishing).

Links to my publications: DBLP, Google Scholar

Experience:

1. Indian Institute of Technology (BHU), Varanasi, India. Associate Professor, February 2026 – till date.

2. Indian Institute of Technology (BHU), Varanasi, India. Assistant Professor, May 2017 – February 2026.

3. Indian Institute of Information Technology, Allahabad, India. Assistant Professor, January 2016 – May 2017.

4. Indian Institute of Information Technology, Allahabad, India. Adhoc visiting faculty, July 2015 – January 2016.

5. Indian Institute of Technology, Kanpur, India. Senior Student Project Associate, February 2015 – May 2015; Senior Project Associate, September 2007 – December 2007.

6. Vrije University, Amsterdam, The Netherlands. EURECA (European Research and Educational Collaboration with Asia) PhD Research Scholar, April 2009 – October 2009.

7. Institute of Engineering and Technology, Lucknow, India. Visiting/Guest faculty, August 2004 – May 2005.

8. Nucleus Software Exports Limited, Noida, India. Software Engineer Trainee, July 2004.

Teaching Responsibilities:

Undergraduate Courses Taught:

Soft Computing 

Machine Learning 

Computer Programming

Information Technology Workshop II

Universal Human Values I and II

Database Management System

Object Oriented Modelling

Software Engineering

Postgraduate Courses Taught:

Advanced Software Engineering

Selected Topics in Machine Learning

Advanced Simulation and Modelling

Software Metrics

Software Architecture

Social Media and Web Analytics

IT Infrastructure and Service Management

MOOC lectures given at IIT Kanpur:

I have given video lectures in the Department of Computer Science and Engineering at IIT Kanpur on the ‘Knowledge Representation’ course in NPTEL (National Programme on Technology Enhanced Learning) program funded by Ministry of Human Resource and Development, Government of India.

• Knowledge Representation [youtube link]

• Knowledge Representation Techniques [youtube link]

• Expert Systems [youtube link]

Administrative Responsibilities:

1. Member of the following Department Committees (September 2026 – August 2027):

   1. Department Post – Graduate Committee (DPGC)

   2. Department Library Committee

   3. Department Laboratories Committee

   4. Department Finance/Budget Committee

2. Convenor of CSE Department Space Committee at IIT (BHU) (September 2026 – August 2027).

3. Member of Institute Core Courses Monitoring Committee (ICCMC) from 2024 – 26.

4. Nominated member of faculty forum, IIT (BHU) from 1 January 2024 till 31 December 2024.

5. Warden of Girls Hostel I & II, IIT (BHU), Varanasi (3 June 2022 - May 2023).

6. Warden of Girls Hostel II, IIT (BHU) from 6 January 2020 till 3 June 2022.

7. Member of Anti – Ragging Squad, IIT (BHU).

8. Member of Teaching and Learning Cell (TLC), IIT (BHU).

9. Convenor of the Centenary Celebration team, Department of Computer Science and Engineering, IIT (BHU).

10. Alumni Relations Coordinator, Department of Computer Science and Engineering, IIT (BHU).

11. In charge of UG 1 Lab in the Department of Computer Science and Engineering, IIT (BHU). (for approx. 1 year)

12. Member of Summer Training, Placement and Industrial Tour Committee of the Department (September 2021 – August 2023)

13. Member of the following Department Committees (September 2019 – August 2021):

    1. Department Under – Graduate Committee (DUGC)

    2. Department Seminar/Conference Committee

    3. Department Annual Report Committee

14. Convenor of CSE Department Annual Report Committee at IIT (BHU) (2017 – 18, 2018 – 19)

15. Member of the following CSE Department Committees at IIT (BHU) (2017-19)

    1. Department Post – Graduate Committee (DPGC)

    2. Department Book/Journal/Library Committee

    3. Department Space Committee

    4. Department Web Committee

    5. Department Computing Faculty Committee

    6. Department Seminar/Conference Committee

16. Member of Committee to organize Gymkhana elections in 2017 at IIIT Allahabad.

17. Member of Flying Squad in 2015 and 2016 at IIIT Allahabad.

18. Member of Convocation committee in 2016 at IIIT Allahabad.

PhD Students: 

1. Aman Kumar (Ongoing)

2. Pankaj Kumar (IndiaAI Fellow) (Ongoing)

3. Neeta Yadav (Ongoing)

4. Ms. Shruti Bajpai (Completed)

5. Mr. Shashank Kumar Singh (Completed)

6. Mr. Rakesh Kumar (Completed)

7. Mr. Anurag Tiwari (Completed)

8. Ms. Dipty Tripathi (Completed) - joint supervision.

M.Tech. Students:

1. Om Tripathi, Hybridizing Convolutional Neural Networks and Intuitionistic Fuzzy Sets for Enhanced Software Bug Severity Classification, IIT (BHU), Varanasi. 

2. Vaibhav Khater, Preference-Aware EV Routing Optimized with Neuro-Fuzzy based State-of-Charge Increment Prediction, IIT (BHU), Varanasi.

3. Shubham, Link Prediction in Multilayer Social Networks using Layer-Adaptive Graph Neural Networks, IIT (BHU), Varanasi.

4. Arsh, Enhancing Fault Localization with Temporal Convolutional Networks and Efficient Code Representations, IIT (BHU), Varanasi.

5. Alankrit Kumar, Software Reusability Prediction using Heterogeneous Directed Hypergraph Neural Network, IIT (BHU), Varanasi.

6. Ayush Singla, Software Vulnerability Prediction for JavaScript using Reward based Weighted Majority Voting, IIT (BHU), Varanasi.

7. Dasari Madhava Reddy, A Framework to Improve Software Bug Severity Prediction, IIT (BHU), Varanasi. (ongoing)

8. Purushottam Tiwari, Meta Heuristic Algorithm for Feature Selection, IIT (BHU), Varanasi. (ongoing)

9. Roshan Jain, Software Fault Prediction using Machine Learning Technique, IIT (BHU), Varanasi. (ongoing)

10. Kalluri Praneeth, A Genetic Algorithm based Two Phased Approach for Community Detection in Social Networks, IIT (BHU), Varanasi.

11. Kartik Rai, A Hybrid MCDM TOPSIS based Grey Wolf Manta Ray Algorithm for Feature Selection for Software Fault Prediction, IIT (BHU), Varanasi.

12. Chidurala Rohith, Software Fault Prediction using Ensemble Reinforcement Learning, IIT (BHU), Varanasi.

13. Pankaj Kumar Jha, A Multiclass EEG Signal Classification Model using Channel Interaction Maximization and MEMD Feature Extraction, IIT (BHU), Varanasi.

14. Sanket Sachin Jakhete, Program Debloating using Abstract Syntax Tree and Reinforcement learning, IIT (BHU), Varanasi.

15. Deepansh Agrawal, Software Defect Prediction System for Aspect Oriented Paradigm, IIT (BHU), Varanasi.

16. Mr. Shivam Arora, Software Vulnerability Detection using Deep Learning, IIT (BHU), Varanasi. 

17. Mr. Devesh Manjhi, Software Component Reusability Prediction in Functional Paradigm, IIT (BHU), Varanasi.

18. Ms. Chitra Mishra, An Ontology Driven Tool to Improve Software Quality, IIIT Allahabad.

19. Mr. Saurabh Mishra, Design Pattern Detection Using Machine Learning and Software Metrics Technique, IIIT Allahabad.

20. Mr. Yogesh Yadav, Efficient Ontology Alignment to Suggest Design Patterns, IIIT Allahabad.

21. Ms. Renu Singh, Preparing for Service Oriented Computing: A Composite Design Pattern for Web Service Invocation, IIIT Allahabad.

22. Mr. Anurag Tiwari, Class Partition Approach for Software Effort Estimation using Support Vector Machine, IIIT Allahabad.

B.Tech. Project Students:

2026: Aditya Kumar Prajesh, Yogesh Garg, Jayesh Khare, Atul Kumar Pandey, Sairaj Chavan, Survesh Dhamija, Suhani

2025: Shaunak Marathe, Nidhi, Mellacheruvu Ramarakesh, Pratik Tripathy, Jinesh, Jain, Param Parsewar, Piyush Goyal, Abhigyan Pandey

2024: Yash Agrawal, Sidharth, Aaryan Kumar, Shubham, Krishna Madhwani, Shubham Yadav, Shashwat Upadhyay, Hitanshu Prasad

2023: Parth Bansal, Md. Nabeel, Mayank Pant, Manas Jain, Ruhi Asitkumar Joshi, Shruti Sharma, Ayush Singla, Alankrit Kumar

2022: Zope Sumedh Murlidhar, Purushottam Tiwari, Palash Motwani, Yash Goyal, Evuri Harish, Obilisetty Venkata Srikanth, Shashwat Shitikanth Mishra, Dasari Madhav Reddy

2021: Yagya Modi, Kartik Rai, Sompalli Mahesh, Kalluri Praneeth, Vaibhav G, Sushant Ashutosh, Saurabh Yadav, Swati S Malik, Kurra Bavanya Choudhry

2020: Sai Kiran Anumalla, Vempalli Mugenna Gari Madhava Reddy, Lakshya Gupta, K Gautham Sai, Chintala Sesha Sai, Aartik, Gajendra Kumar

2019: Sanket Sachin Jakhete, Raghav Kabra, Bhagat Namrata Balkrishna, Ayushi Sneha, Manish, Harjeet Singh Pal

2018: Shivam Arora, Tarun Goel, Niket Khandelwal, Rahul Prasad.

Exploratory Project Students:

2026: Tanmay Gupta, Jayant Kumar, Arpit Kumar Gupta, Namish Shankar Srivastava, Amod Yadav, Kartikey Gupta, Darshit Singh

2025: Arsh Natani, Yogesh Garg, Jayesh Khare, Atul Kumar Pandey, SK Md Kaif, Imran Khandakar, Roshni Tilwani, Shreyansh Solanki, Survesh Dhamija

2024: Ayush Kumar, Manya Gupta, Shreyam Chaurasia, Abhigyan Pandey, Param Ramesh Parsewar, Piyush Goyal, Kapa Tarak Sriram, Mellacheruvu Ramarakesh, Reddy Pardheev Venkata Sri Sai, Nidhi, Priyanshi Goyal, Tapish Malav

2023: Shashwat Upadhyay, Shubham Yadav, Kinshuk Bansal, Krishna Madhwani, Sameeksha Malav, Shubham, Aaryan Kumar, Sidharth, Yash Agrawal

2022: Alankrit Kumar, Dhruv Sinha, Arya Bhagat, Aman Shekhar, Ayush Singla, Nitin, Yogesh Singh, Subhash, Gurpreet Bandhe, Kriti Chaudhary

2021: Rohit Sharma, Dasari Madhava Reddy, Perumandla Varshith, Duddilla Vaagdevi, Gaddam Nikhitha Reddy, Puvvada Vishnu Vardhan, Javvaji RVM Rithish

2020: Ayush Arora, Anshul Raman, Shalini Agrawal, Nandika, Aditi Shree, Shikhar Sharma, Sanchit Tyagi, Kayala Nithin Sai, Kalluri Praneeth

2019: Robin Saxena, Anuraj Singh, Aman Yadav, Abhishek Mittal, Bharat Bhushan, Manthan Gupta, Manav Goyal

2018: Ankit Gaurav, Ashish Verma, Deepanshu Vijay, Devesh Singh Gole, Harjeet Singh Pal, Dipanshu Singh.

Patents:

1. Amrita Chaturvedi, Shashank Kumar Singh, "A System for Handwritten Character Recognition", Indian Patent Granted, Patent No. 589620, Granted on 18.05.2026 by The Patent Office, Government of India.

2. Amrita Chaturvedi, Shashank Kumar Singh, "A System and Method for Hand Grasp Classification", Indian Patent Granted, Patent No. 591714, Granted on 09.06.2026 by The Patent Office, Government of India.

Award/Honour:

1. IndiaAI fellowship awarded to my PhD student Pankaj Kumar for Project titled "Green AI Energy Efficient Neural Network Optimization using Evolutionary Methods", granted by MeiTY, Government of India, 2026.

2. Honoured with a certificate by the Hon'ble Director, IIT (BHU), Varanasi on the Institute Day ("Utthaan 2026") on 29 June 2026 for outstanding achievement in being granted two patents with the Institute as patentee.

3. Nominated by the Hon'ble Director, IIT (BHU) to attend the “Nurturing Future Leadership Program under the aegis of Malaviya Mission Teacher Training Programme” scheduled from March 09 – 13, 2026 at Indian Institute of Management Indore.

4. IndiaAI fellowship awarded to my student Shubham for Project titled "Prediction of Influential Nodes in Multilayer Social Networking Graph", granted by MeiTY, Government of India, 2024.

5. Shashank Kumar Singh, Amrita Chaturvedi: Applying Deep Learning for Discovery and Analysis of Software Vulnerabilities: A Brief Survey. In: International Conference on Soft Computing: Theories and Applications (SoCTA 2019), NIT Patna, India, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 1154, pp 649 - 658. (December 2019) (Best Student Paper Award)

6. Diganta Misra, Anurag Tiwari, Amrita Chaturvedi: Large-Scale Meta-Analysis of Genes Encoding Pattern in Wilson's Disease. In: International Conference on Computer Communication and Computational Sciences (IC4S 2018), Bangkok, Thailand, Advances in Intelligent Systems and Computing (AISC), Springer, Vol 924, pp 389–400. (October 2018) (Best Paper Award)

7. ACM SIGAPP Award 2014.

8. Amrita Chaturvedi, Prabhakar T.V.: Ontology - Driven MVC: A Variant of MVC Architectural Style. In: Proceedings of the International Conference on Software Engineering and New Technologies (ICSENT'2012), Hammamet, Tunisia. (December 2012) pp 158 - 174 (Best Paper Award)

9. Selected as the first female PhD student (IIT Kanpur) from Asia under EURECA (European Research and Educational Collaboration with Asia) project 2009 to conduct research at Vrije University, Amsterdam, The Netherlands for 6 months.

Knowledge Dissemination (Organization of Courses/Conferences):

1. Demo Paper Co-Chair of 18th Innovations in Software Engineering Conference (ISEC) 2026 held at Jaipur, India on 19 – 21 February 2026.

2. Program chair of 6th International Conference on Internet of Things and Connected Technologies (ICIoTCT) 2021 held in virtual mode. It was sponsored by IAASSE, Crowd Reviews, STL, Springer and held on 29 – 30 March 2021.

3. Program chair of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021 held in virtual mode. It was sponsored by IAASSE, Crowd Reviews, STL, Springer and held on 29 – 30 March 2021.

4. Publication and technical chair of 6th International Conference on Cyber Security, Privacy in Communication Networks (ICCS) 2020 held in virtual mode. It was sponsored by Springer, Center for Global Management (California State University, San Bernadino), IAASSE and held on 27 – 29 December 2020.

5. Organizing sub - committee member of Eighth International Conference on Human Values in Higher Education (ICHVHE 2019) held at ABLT Complex, IIT (BHU), Varanasi. It was sponsored by its organizing partners i.e. IIT (BHU) Varanasi, IIIT Hyderabad, AKTU Lucknow, IKG – PTU Jalandhar, Adesh University Bathinda, Atmiya University Rajkot, MMDU Mullana, Subharati University Meerut, Royal University of Bhutan, KGUMS Bhutan and held on 1 – 3 March 2019.

6. Organizing chair of Third Indian Workshop on Machine Learning 2018 (iWML 2018) held at ABLT Complex, IIT (BHU), Varanasi. It was sponsored by Microsoft, Google, Nvidia, ACM India, Tata Consultancy Services, QIP IIT (BHU) and held on 1 – 3 July 2018.

7. Organizing committee member of Brain Storming Workshop on Centre for Dependability Engineering held at ABLT Complex, IIT (BHU), Varanasi. It was sponsored by LDRA (Liverpool Data Research Associates), QIP IIT (BHU) and held on 10 – 11 February.

Contributions outside the Institute:

1. Associate Editor, Results in Control and Optimization (Elsevier)

2. Research paper reviewer of following journals:

   • Systems and Soft Computing (Elsevier)

   • Nuclear Engineering and Technology (Elsevier)

   • Knowledge Based Systems (Elsevier) 

   • Engineering Applications of Artificial Intelligence (Elsevier)

   • Computer Methods in Biomechanics and Biomedical Engineering (Taylor & Francis)

   • Machine Learning with Applications (Elsevier)

   • National Academy of Sciences (Springer)

   • Journal of Information and Telecommunication (Taylor & Francis)

   • Chemometrics and Intelligent Laboratory Systems (Elsevier)

   • CSI Transactions on ICT (Springer)

3. Research paper reviewer of following conferences:

   • Innovations in Software Engineering Conference (ISEC) 2026, ACM. 

   • ACM Research in Adaptive and Convergent Systems (ACM RACS) 2022, 2016, 2015, 2014, 2013

   • International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021, Springer

   • IEEE International Conference on Systems, Computation, Automation and Networking (ICSCAN-2020)

   • IEEE International Conference on Computing Science, Communication and Security (COMS2) 2020, Springer

   • IEEE International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT 2018)

   • International Conference on Inventive Communication and Computational Technologies (ICICCT 2018)

   • IEEE India Council International Conference (INDICON 2017)

   • International Conference on Intelligent Information Technologies (ICIIT 2017)

   • International Symposium on Networks, Computers and Communications 2014 (ISNCC 2014)

   • International Conference on Advanced Information Technologies and Applications 2014 (ICAITA 2014)

   • International Conference on Cloud Computing and Big Data 2013 (CloudCom – Asia International Conference on Information Systems and Technologies 2013 (ICIST 2013)

4. Editor, Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021), Springer.

5. Session chair, IEEE International Conference on Systems, Computation, Automation and Networking (ICSCAN-2020), Pondicherry (3 – 4 July 2020).

6. Book reviewer, Mastering JavaScript Design Patterns by Simon Timms, Packt Publishing Ltd., Birmingham, UK, published in November 2014.

7. Session chair of Security track, International Conference on Reliable and Convergent Systems 2013 (ACM RACS 2013), Montreal, Canada.

• “Neural Networks and Deep Learning” in Online Refresher Course on "AI & Machine Learning Mastery: A Practical Refresher Course" organized by Centre for Faculty Development & Educational Technology(CFDET) (Previous name: Teaching and Learning Centre), Indian Institute of Technology (BHU) under the Malaviya Mission Teacher Training Program (MM-TTP) on 25 November 2024 (organized from 18th November to 4th December 2024).

• “India’s Initiatives in e-learning: MOOC & SWAYAM” in Faculty Induction Programme (FIP) under Malaviya Mission Teacher Training program (MM-TTP) organized by TLC, IIT (BHU) on 18 June 2024 (organized from 03rd - 29th June, 2024).

• “Associative Memory Neural Networks” in Workshop on “Mathematical Science for Practicing Researchers” held at DST Centre for Interdisciplinary Mathematical Sciences, Institute of Science, BHU, Varanasi on 12 February 2020.

• “Large Scale Analysis of Genes Encoding Pattern for Risk assessment of Wilson’s Disease using Soft Computing” in meeting of PAC – Electrical, Electronics and Computer Engineering held at Main Building, Indian Institute of Technology (IIT), Delhi on 30 September 2019.

• “Big Data Storage Technologies” in CEP/FDP on "Big Data Computing: A Practical Approach", Senate Hall, Main Building, IIT Patna, Bihta Bihar, on 5 December 2018.

• “Big Data Handling” in CEP/QIP Short Term Course on Machine Learning in Image and Video Analytics, ABLT Complex, IIT (BHU), on 4 December 2018.

• “Performance Enhancement of Mobile Robots using Cloud Computing” in National Conference on Cyber Physical Systems Research (CPSR) held at Robert Bose Centre for CPS, Indian Institute of Science (IISc), Bangalore on 3 October 2017.

• “Ontology Driven Patterns for Software Architecture” in Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India on 23 July 2014.

• “Ontology Driven Builder Pattern – A Plug and Play Component” in 29th ACM Symposium on Applied Computing (ACM SAC 2014), Gyeongju, Korea on 27 March 2014.

• “Design Patterns” for CS455 Course (Introduction to Software Engineering) in Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India on 12 November 2013.

• "Ontology Driven Creational Design Patterns – Creating Objects on the Fly" in International Conference on Reliable and Convergent Systems (ACM RACS 2013), Montreal, Canada on 3 October 2013.

• "Ontology - Driven Observer Pattern" in International Workshop on Ontologies meet Advanced Information Systems (OAIS 2013), Genoa, Italy on 2 September 2013.

• “Effect of Ontology in Patterns for Software Architecture” for CS654 Course (Software Architecture) in Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, India on 12 March 2013.

• "Ontological Visitor Pattern" in Indian Conference on Patterns and Pattern Languages of Programs (GuruPLoP 2013), Bangalore, India on 3 March 2013.

• "Ontology - Driven MVC: A Variant of MVC Architectural Style" in International Conference on Software Engineering and New Technologies (ICSENT 2012), Hammamet, Tunisa on 15 December 2012.

• Welcome note speaker in International Conference on Software Engineering and New Technologies (ICSENT 2012), Hammamet, Tunisa on 15 December 2012.

• “Semantic Technologies and Software Architecture” in Indian Institute of Technology, Kanpur on 27 November 2009.

• “Roles of Semantic Components in Software Engineering” in Software Architecture meeting held under the supervision of Dr. Hans Van Vliet and Dr. Patricia Lago, Professors, Department of Information Management and Software Engineering (IMSE), Vrije University, Amsterdam, The Netherlands  on 06 October 2009.

• “Roles of Semantic Components in Software Engineering” in semantic web meeting held under the supervision of Dr. Frank Van Harmelen, Professor, CS Department, Vrije University, Amsterdam, The Netherlands on 28 September 2009 (URL: http://tripletalk.cs.vu.nl/index.php/Semantic_Web_Meetings_schedule).

• Member of APNNS (Asia Pacific Neural Network Society).

• Member of IEEE (Institute of Electrical and Electronics Engineers).

• Member of IEEE (Institute of Electrical and Electronics Engineers) Women in Engineering.

• Member of Association for Computing Machinery (ACM).

• Member of ACM's Committee on Women in Computing (ACM - W).

• Life member of Indian Science Congress Association.

• Program committee member of IEEE International Conference on Computing Science, Communication and Security (COMS2), Springer, 26 – 28 March 2020, Gujarat, India.

• Program committee member of International Conference on Reliable and Convergent Systems 2018 (ACM RACS 2018), Honolulu, Hawaii.

• Program committee member of International Conference on Reliable and Convergent Systems 2017 (ACM RACS 2017), Krakow, Poland.

• Program committee member of International Conference on Reliable and Convergent Systems 2016 (ACM RACS 2016), Odense, Denmark.

• Program committee member of International Conference on Reliable and Convergent Systems 2015 (ACM RACS 2015), Prague, Czech Republic.

• Program committee member of International Conference on Reliable and Convergent Systems 2014 (ACM RACS 2014), Towson, MD, USA.

• Program committee member of International Conference on Software Engineering and New Technologies 2014 (ICSENT 2014), Hammamet, Tunisia.

• Program committee member of International Conference on Software Engineering and New Technologies 2013 (ICSENT 2013), Hammamet, Tunisia.

• Program committee member of International Conference on Information Systems and Technologies 2013 (ICIST 2013), Tangier, Morocco.

• Program committee member of International Conference on Reliable and Convergent Systems 2013 (ACM RACS 2013), Montreal, Canada. 

Participation in Seminar/Symposium/Workshop/Course

• Nurturing Future Leadership Program under the aegis of Malaviya Mission Teacher Training Programme held at Indian Institute of Management, Indore on 09 – 13 March 2026. It was sponsored by Ministry of Education, Government of India.

• Workshop on “Mathematical Sciences for Practicing Researchers” held at DST Centre for Interdisciplinary Mathematical Sciences, BHU, Varanasi on 3 – 12 February 2020. It was sponsored by Banaras Hindu University, Varanasi.

• Meeting of PAC – Electrical, Electronics and Computer Engineering held at Main Building, Indian Institute of Technology (IIT), Delhi on 30 September – 01 October 2019. It was sponsored by Department of Science and Technology (DST), Government of India (GoI). 

• National Conference on Cyber Physical Systems Research (CPSR) held at Robert Bose Centre for CPS, Indian Institute of Science (IISc), Bangalore on 3 October 2017. It was sponsored by DST, Government of India (GoI).

• National Conference on Technological Empowerment of Women held at Vigyan Bhavan, New Delhi on 8 – 9 March 2018. It was sponsored by DST & DBT, GoI; CSIR; MoES; DRDO; ISRO; DAE; ICAR; ICMR; Wellcome Trust; MAHYCO and other Industries.

• Faculty Development Program organized by Teaching Learning Cell (TLC), IIT (BHU), Varanasi held at ABLT Complex, IIT (BHU), Varanasi on 14 May – 02 June, 2018. It was sponsored by Pandit Madan Mohan Malaviya National Mission on Teachers and Teaching (PMMMNMTT).

• The 3rd Indian Workshop on Machine Learning 2018 (iWML 2018) held at ABLT Complex, IIT (BHU), Varanasi on 1 – 3 July 2018. It was sponsored by Microsoft, Google, Nvidia, ACM India, Tata Consultancy Services, QIP IIT (BHU).

• Seminar/discussion meeting on Centre for Dependability Engineering to be established at IIT (BHU), Varanasi held at BHAVINI (Bharatiya Nabhikiya Vidyut Nigam Limited), Kalpakkam, India on 24 – 27 August 2018. It was sponsored by BHAVINI (Bharatiya Nabhikiya Vidyut Nigam Limited), LDRA (Liverpool Data Research Associates).

• CEP/QIP Short Term Course on “Machine Learning in Image and Video Analytics” held at ABLT Complex, IIT (BHU), Varanasi on 3 – 9 December 2018. It was sponsored by QIP IIT (BHU), Varanasi.

• Workshop for computer science teachers under the Knowledge Incubation for TEQIP (Technical Education Quality Improvement Program) organized by MHRD (Ministry of Human Resource and Development, Government of India) held at Indian Institute of Technology, Kanpur, India in July 2014. 

• The 29th ACM Symposium on Applied Computing (ACM SAC 2014), held at Dongguk University, Gyeongju, Korea. (March 2014). 

• International Conference on Reliable and Convergent Systems (ACM RACS 2013) held at Concordia University, Montreal, Canada in October 2013.

• International Workshop on Ontologies meet Advanced Information Systems (OAIS 2013) in conjunction with 17 th East-European Conference on Advances in Databases and Information Systems (ADBIS 2013) held at Villa Cambiaso Giustiniani, Genoa, Italy in September 2013.

• Indian Conference on Patterns and Pattern Languages of Programs (GuruPLoP 2013) held at Sheraton Hotel, Bangalore, India in March 2013.

• International Conference on Software Engineering and New Technologies (ICSENT 2012) held at El Mouradi El Menzah Hotel, Hammamet, Tunisia, 1-3 December 2012. 

• India Software Engineering Conference 2012 (ISEC 2012) held at Indian Institute of Technology, Kanpur, 22-25 February 2012. 

• Semantic web meetings and WAI (weekly artificial intelligence) meetings held under the supervision of Dr. Frank Van Harmelen, Professor, CS Department, Vrije University, Amsterdam, The Netherlands from June 2009 to October 2009. 

• Seventh joint meeting of the European Software Engineering Conference (ESEC 2009) and the ACM SIGSOFT symposium on the Foundations of Software Engineering (FSE 2009) held at Vrije University, Amsterdam, The Netherlands, 24 – 28 August 2009. 

• International Conference on Distributed Computing and Internet Technologies (ICDCIT 2008) held at Indian Institute Technology, Delhi in December 2008. 

• IBM Asia Pacific University Relations Summit (APURS 2008) held at Taj Residency, Bangalore in November 2008. 

• IBM Technology Day held at Indian Institute of Technology, Kanpur, Uttar Pradesh, India in September 2008.

• Embedded Software Workshop by NVIDIA held at Indian Institute of Technology, Kanpur, Uttar Pradesh, India in March 2008. 

• IBM eclipse workshop held at Indian Institute of Technology, Kanpur, Uttar Pradesh, India in September 2007.