Specialization

Empirical Software Engineering, Cognitive Computation, Human-Computer Interaction, Computational Bio-Informatics

Email

ashutosh.mishra@thapar.edu

Contact No.
+91-8437810985

Biography
Ashutosh Mishra, presently working as an Associate Professor in the Computer Science and Engineering Department at Thapar Institute of Engineering and Technology, Patiala, India. He has worked as a Visiting Associate at the School of Computer & Statistics, Trinity College Dublin, Ireland. He received his Ph.D. in 2013 in Computer Science and Engineering Department from Indian Institute of Technology (IIT-BHU), Varanasi, India and B.E. in Computer Science from CCS University, Meerut, India. His research interests include software engineering, eye tracking, empirical studies, human factors, cognitive and psychological aspects in software development, and intelligent computing methods in neurodegenerative diseases. He has authored over 40 refereed publications. He has 14 years of professional experience in academics and the software industry. His aim is to find new solutions to the cognitive aspects in software development and other domains that challenge our world. He has successfully advised 02 PhD and 12-Master of Engineering theses and 02 ongoing PhD in cognitive and psychological aspects of software development.

Education
PhD from the Computer Science and Engineering Department at the Indian Institute of Technology (IIT-BHU), Varanasi, India, in 2013.

Teaching and Work Experience
     Associate Professor, Computer Science and Engineering Department, Thapar Institute of Engineering and Technology Patiala, January 2026 – present
     Assistant Professor, Computer Science and Engineering Department, Thapar Institute of Engineering and Technology Patiala, July 2013 – December 2025
     BlueStar InfoTech Limited, Bangalore, as Consultant (Database Administrator) from Aug 2007 - Feb 2009.
     Ascendus Technologies, Bangalore, as a Software Engineer from July 2006 - August 2007.

Research Interests
    Empirical Software Engineering 
    Human Computer Interaction
    Cognitive Computation in Software Engineering
    Computational Bio-Informatics
    Intelligent Computing methods
    Machine Learning and Data Science
    Cognitive security

Research Projects 
1.    IoT-Enabled EEG-Based Model for Academic Stress Detection in Students (PI), 5606 $, 2025 (Ongoing).
2.    An intelligent solar-powered soilless farming system for the Uberization of Agriculture (Co-PI), 40,000 $, 2024 (Ongoing)
3.    Data mining methodologies for software design, maintenance and fault prediction analysis (PI), 5273 $, 2014 (Completed)

Membership of Professional Institutions, Associations, Societies
    Computing Society of India, Member: 1151240006 
    INSTICC Community: 23486
    IAENG Member: 379921

Publications and other Research Outputs
Publications in SCI/SCIE/Non-SCI International Journals
    Divjot Singh, Ashutosh Mishra, and Ashutosh Aggarwal, “An empirical approach to investigate the impact of technical and non-technical parameters on programmers’ code comprehension proficiency”, Expert systems with Applications, Vol. 286, (2025).
    Divjot Singh, Ashutosh Mishra, and Ashutosh Aggarwal, “A novel framework for evaluating developers’ code comprehension proficiency through technical and non-technical skills”, Journal of computer languages, Vol. 83, pp. 101327 (2025). 
    Karambir Kaur, Ashutosh Mishra, Palika Chopra, “An amalgamation of cognitive aspects in software engineering: A content analysis”, Expert Systems with Applications, Elsevier, Vol. 246, 122968, (2024). 
    Divjot Singh, Ashutosh Mishra and Ashutosh Aggarwal, “An Empirical Approach to Understand the Role of Emotions in Code Comprehension”, Journal of Computer Languages, Elsevier, Vol.76, 101249, (2024). 
    Arora, P., Mishra, A. & Malhi, A. An Ensemble Machine Learning Method Highlights Possible Parkinson’s Disease Genes and Accessing Performance of Re-sampling Techniques. SN COMPUT. SCI. 5, 483 (2024). https://doi.org/10.1007/s42979-024-02805-5.
    Priya Arora, Ashutosh Mishra, Avleen Malhi, “Diagnosis of Parkinson’s disease genes using LSTM and MLP based multi-feature extraction methods”, Int. J. of Data Mining and Bioinformatics, vol. 27, No.4, pp.326 – 348, 2023. 
    Priya Arora, Ashutosh Mishra, Avleen Malhi, “Machine Learning Ensemble for the Parkinson’sdisease using Protein Sequences, Multimedia Tools and Applications, Springer, Vol.81, pp 32242, 2022. 
    Divjot Singh and Ashutosh Mishra, “Multiple-Ensemble Methods for Prediction of Alzheimer Disease”, International Journal of Data Mining & Bioinformatics, Inderscience, Vol.26, No.1-2, pp-99- 128, 2022. 
    Priya Arora, Ashutosh Mishra, Avleen Malhi, “N-semble based method for Parkinson’s disease gene identification”, Neural Computing and Applications, 2021.
    Loveleen Kaur and Ashutosh Mishra, “A pragmatic framework for predicting change prone files using Machine Learning techniques with Java-based software”, Asia Pacific Journal of Information Systems, vol.30, no.3, pp 457-496, September 2020.
    Loveleen Kaur and Ashutosh Mishra,” Cognitive complexity as a quantifier of version to version source code change: An empirical probe”, Information and Software Technology, Elsevier, vol. 106, pp 32-48 September 2019.
    Loveleen Kaur and Ashutosh Mishra, “Software component and the semantic Web: An in-depth content analysis and integration history”, Journal of Systems and Software, Elsevier, vol. 125, pp 152- 169, March 2017. 
    Ashutosh Mishra, Meenu Singla, “Generalized Rule Induction Based Model for Software Fault Prediction”, International Journal of Reliability and Safety, vol. 15, no. 1-2, pp 89-103, Dec 2021.
    Ashutosh Mishra, Meenu Singla, “A Software Fault Prediction on Inter- and Intra-Release Prediction Scenarios”, International Journal of Open Source Software and Processes, vol.12, issue-04, pp 18, 2021. 
    Ramkumar B and Ashutosh Mishra, “Intelligent Computation Methods to determine Genes related to Parkinson’s disease using Microarray Gene Expression Analysis”, Journal of Biological Engineering Research and Review, 8(2): 402-410,2021.
    Ashutosh Mishra and Neha Chaudhary, "Student Performance Measure by Using Different Classification Methods of Data Mining", Turkish Journal of Computer and Mathematics Education, vol.12 no.10, pp 4063-4069, 2021. 
    Bireshwar Dass Mazumdar and Ashutosh Mishra, “Multi-Agent Negotiation Paradigm for Maintenance Agent Selection in Software Maintenance”, Journal of Biological Engineering Research and Review, 8(2), 416-421, 2021.
    Nimesh Patel, Ashutosh Mishra,"Automated Leukaemia Detection Using Microscopic Images", Procedia Computer Science, Elsevier, vol. 58, pp 635-642, 2015. 
    A. Mishra and V. Srivastava, “Extracting a knowledge from source code comprehension using data mining methods,” Int. J. knowledge Engineering and Data mining, InderScience Publication, UK, vol. 2, no. 2/3, 2012.
    Ashutosh Mishra and Vinayak Srivastava,“Conceptual and Semantic measures for cohesion in Software Maintenance”, International Journal of computer applications (IJCA),USA, vol. 47, no. 22, pp. 40-45, 2012.
    Ashutosh Mishra and Vinayak Srivastava,“Intelligent Computing Methods for Software Maintenance: a Review”, Journal of Software Engineering and Technology, vol. 4, issue 1, pp.1-12, 2012.
    Ashutosh Mishra and Vinayak Srivastava, “Data mining methods for program comprehension”, International Journal on Computer Science and Technology (IJCST), vol. 3, issue- 2, pp. 110-116, 2012.
    Rishabh Hanselia, Dilip Kumar Choubey, Ashutosh Mishra, Ranesh Kumar Dubey, Kanchan Bala, “Survival Prediction for Patients Undergoing HSCT Using Machine Learning Techniques”, GMSARN International Journal, 2024 (Accepted) 

Conference Papers
    Singh, D., Mishra, A., Aggarwal, A. (2026). An Empirical Analysis on Investigating the Impact of Belief, Desire, Intention, and Commitment on Programmers’ Code Comprehension Proficiency. In: Jaiswal, A., Anand, S., Hassanien, A.E., Azar, A.T. (eds) Proceedings of International Conference on Computing Systems and Intelligent Applications. ComSIA 2025. Lecture Notes in Networks and Systems, vol 1501. Springer, Singapore. https://doi.org/10.1007/978-981-96-8350-5_48

    Kaur, K., Mishra, A., Chopra, P. (2026). Emotional Dynamics in Software Engineering: A Comprehensive Review of Cognitive Skills and Affective States. In: Jaiswal, A., Anand, S., Hassanien, A.E., Azar, A.T. (eds) Proceedings of International Conference on Computing Systems and Intelligent Applications. ComSIA 2025. Lecture Notes in Networks and Systems, vol 1501. Springer, Singapore. https://doi.org/10.1007/978-981-96-8350-5_55

    Divjot Singh, Ashutosh Mishra, Ashutosh Aggarwal, “Investigating the impact of logical reasoning in honing code comprehension skills: An empirical analysis”, 6th International Conference on Contemporary Computing (IC3-2024), jointly organised by Jaypee Institute of Information Technology, India and University of Florida, USA. 

    A. Mishra, A. Mishra, A. K. Tewari and J. Gangrade, "Deep Transfer Learning for Tomato Leaf Diseases Detection and Classification using Pre-trained Models," 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2023, pp. 290-295, doi: 10.1109/ICSC60394.2023.10441215.
    Gupta, M., Mishra, A., Mishra, Ashutosh, Gangrade, J. (2025). Accelerated GPU-Based Clustering, Classification and Regression Using RAPIDS: A Comparative Study. In: Bairwa, A.K., Tiwari, V., Vishwakarma, S.K., Tuba, M., Ganokratanaa, T. (eds) Computation of Artificial Intelligence and Machine Learning. ICCAIML 2024. Communications in Computer and Information Science, vol 2184. Springer, Cham. https://doi.org/10.1007/978-3-031-71481-8_19. 

    Pandey, S., Gupta, M., Mishra, A., Mishra, Ashutosh, Gangrade, J. (2025). Automated Potato Disease Classification Using Deep Learning - A Comparative Analysis of Convolutional Neural Networks. In: Bairwa, A.K., Tiwari, V., Vishwakarma, S.K., Tuba, M., Ganokratanaa, T. (eds) Computation of Artificial Intelligence and Machine Learning. ICCAIML 2024. Communications in Computer and Information Science, vol 2184. Springer, Cham. https://doi.org/10.1007/978-3-031-71481-8_26. 

    Singh, D., Mishra, A., “Early Prediction of Alzheimer’s Disease Using Ensemble Learning Models”. Machine Learning and Big Data Analytics. ICMLBDA 2022. Springer Proceedings in Mathematics & Statistics, vol 401. Springer, Cham. https://doi.org/10.1007/978-3-031-15175-0_38 

    Loveleen Kaur, Ashutosh Mishra, “A Comparative Analysis of Evolutionary algorithms for the prediction of Software Change”, IEEE 13th international conference on innovations in Information Technology (IIT’18), November 18-19, 2018, AI Ain, UAE

    Kirti Sharma and Ashutosh Mishra, “Prediction of Parkinson's Disease Using Machine Learning Techniques”, e-journal - First Pan IIT International Management Conference – 2018.

    S. Dash and A. Mishra, "Detection of Parkinson Disorder Using Kinect Arm Movement - A Computational Based Approach," 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD, Hamamatsu, Japan, 2017, pp. 309-313, doi: 10.1109/ACIT-CSII-BCD.2017.21. 

    S. Bharti and A. Mishra, "Prediction of Future Possible Offender's Network and Role of Offenders," 2015 Fifth International Conference on Advances in Computing and Communications (ICACC), Kochi, India, 2015, pp.159-162. doi: 10.1109/ICACC.2015.36 

    Ashutosh Mishra and Vinayak Srivastava, “Multi agent paradigm used to complexity measure for perfective software maintenance”, Computer Science and Engineering (APWC on CSE), 2014 Asia- Pacific World Congress, Fiji, 2014.IEEE Xplore: DOI: 10.1109/APWCCSE.2014.7053834 

    Ashutosh Mishra and Vinayak Srivastava, “Cognition Based Selection and Categorization of Maintenance Engineer (Agent) using Artificial neural net and Data mining methods”, CSI 6th International Conference on Software Engineering (CONSEG-2012), Indore, India, IEEE Xplore – Software Engineering, pp. 1-11, 2012 

    Ashutosh Mishra and Vinayak Srivastava, “Cognitive complexity measure for perfective software maintenance”, International Conference on Artificial Intelligence and Soft Computing (AISC-2012), Computer Engineering Department, IIT (BHU) – Varanasi, India, 2012.

    Ashutosh Mishra and Vinayak Srivastava, “Source code comprehension using data mining methods”, National Conference on Frontiers of Research and Development in Computational Sciences(FRDCS- 2012), Mahatma Gandhi Kashi Vidhyapeeth, Varanasi, pp. 28-32, 2012.

    Ashutosh Mishra and Vinayak Srivastava, “Multi Agent Paradigm for Software Maintenance”, National Conference on Artificial Intelligence and Agents: Theory & Applications-(AIATA-2011), December 2011, IT-BHU Varanasi, pp.122-130, 2011.

Book Chapters
    Ashutosh Mishra, “Deep Learning, Extreme Machine Learning, and Kernel-Based ELM for the Diagnosis of Alzheimer‘s Disease”, Smart Electronic Devices and Systems for Biomedical and Healthcare Applications, Apple Academic Press, 2025.
    Rishabh Hanselia, Dilip Kumar Choubey, Kanchan Bala, Ashutosh Mishra, “Transfer Learning for Multiclass Classification of Bone Marrow Cells”, Machine Learning and IoT Applications for Health Informatics, CRC Press, 2024. (Scopus)
    Ashutosh Mishra, “Artificial intelligence based flexible manufacturing system (FMS)”, Advanced Signal Processing for Industry 4.0, Volume 1 Pages 9-19, IOP Publishing Ltd, 2023. (Scopus)
    Loveleen Kaur and Ashutosh Mishra,” An Empirical Analysis for predicting source code file reusability using meta classification algorithms” in Advances in intelligent systems and Computing, Springer, volume 706, pp 493-504, 2018.

Patents
•    Internet of Things & Cloud-Computing-based illness identification & analysis system for the health sector by using Fuzzy-neural method (Patent No. 202111058745). –Published

Foreign Visits
o    Visiting Associate at the School of Computer & Statistics, Trinity College Dublin, Ireland
o    London

Ph.D. Thesis Guided/ Ongoing (02 awarded and 02 ongoing)
Ph.D. Thesis Title    Student Name    Status
  Selection of Change-prone Software Components using the Expertise of Semantic Web and Intelligent Computing Methods.    Dr. Loveleen Kaur    Awarded- 2021
  Machine Learning based approaches for the Gene-Based Diagnosis of Parkinson’s Disease    Dr. Priya Arora    Awarded- 2023
  Integrated Computational Model based on Cognitive, Psychological and Emotional aspects for Software Development    Ms. Karambir Kaur    Ongoing-
2021
  Cognitive Measures for Source Code Comprehension in Software Maintenance    Mr. Divjot Singh    Ongoing- 2022

ME Thesis Guided/Ongoing
M.E/M. Tech. Dissertation: 12
Under-Graduate Capstone Project Supervision: 15 Groups 

Teaching Interests
o    Empirical and Cognitive Aspects in Software Engineering
o    Machine Learning Applications
o    Engineering Design Project (Robocar, Sensors)
o    Database Management System

Invited Talks
o    “Deep Learning: Potential research domain”, 5-Days FDP on Unlock the Power of AI Metaphors and Computational Intelligence, Khalsa College of Engineering and Technology, Amritsar, 2-6, August,2025.
o    “Machine Learning Methods in Neurodegenerative Disorders (Parkinson Disease)”, FDP: Short-Term Course on Artificial Intelligence and Data Science in Healthcare, IIT-Bhagalpur, India, May-3-7, 2022,
o    "Machine learning & Sensor for Smart farming”, FDP: Five days Online Training Programme on Smart Farming: Application of AI, Robotics, IOT & Cloud Computing at Anand Agricultural University, Anand, Gujarat, India, February28-March04, 2022.
o    "Technological Innovation in AI & Machine Learning" FDP: One Week Faculty Development Programme on Data Analytics, Big Data, Machine Learning and Applications at Bansal Institute ff Engineering and Technology, Lucknow, India, February 21-26, 2022.
o    “Big Data Analytics” in the Computer Science and Engineering Department at IIT-BHU Varanasi, 27-10- 2016.
o    “Big Data Analytics and Hadoop”, at GNA-University, Phagwara, India, 08-10-2015.

Administrative Responsibilities
o    Department Process and Planning Committee Member
o    Post Graduate-Coordinator 2026 to date.
o    Ph.D. Admission committee member
o    Industry Academic Project - Coordinator, Thapar Institute of Engineering and Technology, India
o    Post Graduate-Coordinator from 2014 to 2019, Thapar Institute of Engineering and Technology, India
o    Admission committee member for Post Graduate admission from 2014 to 2018, Thapar Institute of Engineering and Technology, India.
o    Departmental committee Member to support several Accreditation boards such as NBA, ABET, etc.
o    Course curriculum design and laboratory setup for the Engineering Design Project course.

Awards and Honours/Recognitions
o    GATE-2010.
o    Organising committee member of the National and International Conference at CSE, IIT (BHU) - Varanasi, India.
o    Two National Cadet Core (NCC) certificates for National Integration Camp.
o    The Centre for Academic Practices and Student Learning (CAPSL and Advanced CAPSL) training has been successfully completed in preparation for the shift from teacher-centric to student-centric learning at Trinity College Dublin, under the current modernization program at TIET.