E-OFFICE | ADMISSIONS 2026-2027
  • ਮਹਾਰਾਜਾ ਰਣਜੀਤ ਸਿੰਘ ਪੰਜਾਬ ਟੈਕਨੀਕਲ ਯੂਨੀਵਰਸਿਟੀ, ਬਠਿੰਡਾ
  • Maharaja Ranjit Singh Punjab Technical University
  • Maharaja Ranjit Singh Punjab Technical University, Bathinda

A State University Established By Govt. of Punjab vide Punjab Act No. 5 of 2015 and Under Section 2(f) & 12 B of UGC

NAAC Accreditation

Computational Sciences

Computational Sciences

Computational Sciences

In today's age of digital emergence, computers have become an integral part of the society. With the upsurge in the demand of Computer Professionals in the Country, grooming competent Computer Professionals has become a prequisite. Being a pioneer of learning, Maharaja Ranjit Singh Punjab Technical University started MCA and PhD in 2012 and 2016 respectively. Further, in from 2018, BCA-MCA Dual Degree had been introduced. Also, in 2022, Department had started B.Sc (Graphics & Web Designing) Continuing its commitment to providing cutting-edge education in the field of computer science, the university proudly initiated the B.A. (Computer Science) programme in 2023.

 Along with the introduction of the above-mentioned Programmes, Computational Sciences Department has also been offering its teaching aids to various other Departments of the university such as Mathematics, Engineering, Pharmaceutical Sciences and University Business School.

To establish an interactive learning environment, the department has enrolled highly-skilled competent faculty, who, apart from imparting technical knowledge, helps and motivates students to perform better. Also, the campus uses its proficiency to help in cater the needs of IT industry. Further, the Department of Computational Sciences has tied up with Thompson Rivers University, Canada for student transfer policy. 

The department believes in overall development of young IT professionals by providing them not only comprehensive knowledge of the computer-related subjects, but also imparting practical skills to them.

Sr.
No.

Details

Curriculum Design and Development

1

Syllabus

1.1    BCA-MCA 

1.2    MCA

1.3    B.Sc. (Graphics & Web Designing)

1.4    B.A. (COMPUTER SCIENCE)
2

 

 BCA-MCA Dual Degree

2.1 PO

2.2 PSO

2.3 COs POs and PSOs Mapping

2.4 Course Articulation Matrix

Master of Computer Applications

2.5 PO 

2.6 PSO

2.7 COs POs and PSOs Mapping

2.8 Course Articulation Matrix

3.

Choice-based Credit System Notification
4

Links for Feedback on Curriculum

4.1 Student Feedback Form On Curriculum

4.2 Parents Feedback Form On Curriculum

4.3 Alumni Feedback Form On Curriculum

4.4 Employer Feedback Form On Curriculum

4.5 Faculty Feedback Form On Curriculum
Catering to Student Diversity
5 Technical events organized
6 List of faculty
7 Student-Centric Learning Methodologies
8 List of Mentors - Mentee Allotment & Issues Resolved
9 Awards to Teachers
10 Student Feedback
Research & Innovation
11 List of Research Fellows (funded/non-funded)
12 List of Ph.D. Research Work Title
13 List of Research Projects/ Grants
14 List of Workshops, and Training programmes conducted
15 Awards won by Students/ Teachers/ Research Scholars
16 IPRs/ Patents
17 Ph.D. Awarded
18 Research Publications
19 Books/ Book Chapters
20

Research/ Other Collaborations
21

Social connectivity/ Outreach

21.1 Connect with us on Facebook

21.2 Connect with us on Instagram
Student Progression
22

Career Counseling Activities
23

Skill Enhancement
24 Grievance Redressal Committee
25 Medals /Prizes in Sports / Cultural Events by Students
26 Student council
Governance
27 Vision and Mission
28

28.1 BoS

28.2 DDRC

28.3 BoC

28.3 Student

28.4 Batch Advisor
29 Technical Programs attended by faculty (FDP/ STC/ Induction Programs/ Refresher Course) etc.
  Best Practices
30
Best Practices
31

Department Distinctiveness

(a) SWOC Analysis

(b) Highlights
   

VISION

Student To become the centre of excellence in computing skills by producing technically competent, creative qualified professionals who can meet the challenges of modern computing industry and can work for the betterment of society.

MISSION

1. To provide practical solutions to the youth to become productive participating global citizens and lifelong learners.

2. To develop students professionalism in young software engineer by inculcating discipline and responsiveness.

3. To attain self employment by inducing Project management techniques and teamwork.

Message from Head of Departement

Welcome to the Department of Computational Sciences at Maharaja Ranjit Singh Punjab Technical University, Bathinda.

 Our department is committed to providing top-tier education in the fields of computing and technology through diverse programs such as the BCA-MCA Dual Degree, B.Sc. (Graphics and Web Designing), B.A. (Computer Science), MCA, and Ph.D., all designed to meet the growing demands of the digital world. With a strong focus on practical skills, research, and innovation, we aim to shape future-ready professionals who excel in academia, industry, and beyond. We are dedicated to ensuring great careers for our students by fostering deep industry connections, cultivating a research-driven culture from day one, and delivering education through cutting-edge technology. Our excellent infrastructure, experienced faculty, and active Training and Placement Cell work together to ensure a bright future for our students. We strongly encourage innovation not only in research but also in teaching and community service. Our faculty and students constantly strive for excellence and push the boundaries of computer science.

I invite you to join our journey as we propel the Department of Computational Sciences to new heights. Wishing all our students and faculty continued success and a fulfilling academic career.

Sincerely,

Dr. Munish Jindal

Head of Department, Computational Sciences

MRSPTU, Bathinda

COURSE OFFERED

Sr No. Course Intake Duration
1 M.Sc. (Data Science & Analytics) 30 2 Years
2 B.A. Hons. (Computer Science) 270 seats 4 Years
3 B.Sc. Hons. (Graphics And Web Designing) 60 Seats 4 Years
4 BCA (Hons.) 270 Seats 4 Years
5 MCA 60 Seats 2 years
6 Ph.D - -

PROGRAMME OUTCOMES

POs For BCA-MCA Dual Degree And MCA Courses

  1. Communication Efficacy: Communicate effectively with the computing community as well as society by being able to comprehend effective documentations and presentations.

  2. Modern Tool Usage:  Design, analyse and develop the computing systems using modern tools by considering the limitations. 

  3. Solutions to Complex Problems: Explore and design solutions for complex computing problems and design system components or processes using computing algorithms.

  4. Computational Knowledge: Apply mathematics, sciences and computing fundamental and domain concepts to find out the solution of defined problems and requirements.

  5. Individual and team work Function effectively as an individual, and as a member or leader in diverse teams.

  6. Project management:  Establishing strategies in developing and implementing ideas in multidisciplinary environments using computing and management skills

  7. Effective Citizenship: Demonstrate empathetic social concern and equity centred national development, and the ability to act with an informed awareness of issues and participate in civic life through volunteering.

  8. Ethics: Recognize the different value systems including own, understand the moral dimensions of own decisions.

 

BCA-MCA DUAL DEGREE POs PSOs COs, POs and PSOs Mapping Course Articulation Matrix
MCA POs PSOs COs, POs and PSOs Mapping Course Articulation Matrix

 

 

 

Research at Dept. of Computational Sciences

Research Outcome

Total Numbers

Publications

157

Books

7

Book Chapters

24

Publications with Impact Factors in Journals indexed in SCOPUS, SCI, SSCI and ESCI

100+

Cumulative Impact Factor

400+

Publications in other Journals

20

Patents applied/granted

05 + 01 Filed

Full papers in conference proceedings

60+

2026

  1. Sandhu, J. K., Kumar, M., & Singh, A. (2026). Hybrid CNN-BLSTM support vector machine architecture for E2E speech recognition. International Journal of Speech Technology, 29(1), 7. https://doi.org/10.1007/s10772-025-10238-5

2025

  1. Tuteja, S., Tonk, R., & Kumar, M. (2025). Intelligent transportation systems: filters and performance evaluation in image data decontamination. Multimedia Tools and Applications, 1-13. https://link.springer.com/article/10.1007/s11042-025-21012-9
  2. Rani, V., & Kumar, M. (2025). Transfer learning for human gait recognition using VGG19: CASIA-A dataset. Multimedia Tools and Applications, 84(22), 25981-25995. https://link.springer.com/article/10.1007/s11042-024-20132-y
  3. Rani, M., & Kumar, M. (2025). Efficient Human Activity Recognition Using a Hybrid MobileNetV2-CNN Model. National Academy Science Letters, 1-8. https://link.springer.com/article/10.1007/s40009-025-01720-4
  4. Singla, C., Maini, R., & Kumar, M. (2025). Gender classification based on handwriting using Gurmukhi characters and hybrid feature extraction techniques. Multimedia Tools and Applications, 84(19), 20823-20841. https://link.springer.com/article/10.1007/s11042-024-19873-7
  5. Kaur, M., & Kumar, M. (2025, March). Lightweight Deep Learning Models for Facial Emotion Recognition: A Comparative Study. In 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC) (pp. 494-497). IEEE. https://ieeexplore.ieee.org/abstract/document/11039380
  6. Sukhija, R., Kumar, M., & Jindal, M. K. (2025). Document forgery detection: a comprehensive review. International Journal of Data Science and Analytics, 1-23. https://link.springer.com/article/10.1007/s41060-025-00723-0
  7. Rani, M., & Kumar, M. (2025). MobileNet for human activity recognition in smart surveillance using transfer learning. Neural Computing and Applications, 37(5), 3907-3924. https://link.springer.com/article/10.1007/s00521-024-10882-z

8. Sethi, M., Kumar, M., & Jindal, M. K. (2025). Forensic handwriting analysis: a hybrid classification framework for writer identification in Devanagari script. Multimedia Tools and Applications, 1-12. https://link.springer.com/article/10.1007/s11042-024-20574-4

Year 2024

  1. Dargan, S., & Kumar, M. (2024). Gender Classification System Based on the Behavioral Biometric Modality: Application of Handwritten Text. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(3), 1-21.

  2. Dargan, S., Kumar, M., Mittal, A., & Kumar, K. (2024). Handwriting-based gender classification using machine learning techniques. Multimedia Tools and Applications, 83(7), 19871-19895.

  3. Farooq, U., Khurana, S. S., Singh, P., & Kumar, M. (2024). An Empirical Study on Detection of Android Adware Using Machine Learning Techniques. Multimedia Tools and Applications, 83(13), 38753-38792.

  4. Farooq, U., Singh, P., Khurana, S. S., & Kumar, M. (2024). Detection of content-based cybercrime in Roman Kashmiri using ensemble learning. Multimedia Tools and Applications, 83(11), 33071-33105.

  5. Kaur, H., Rani, V., Kumar, M., Sachdeva, M., Mittal, A., & Kumar, K. (2024). Federated learning: a comprehensive review of recent advances and applications. Multimedia Tools and Applications, 83(18), 54165-54188.

  6. Kaur, M., & Kumar, M. (2024). Facial emotion recognition: A comprehensive review. Expert Systems, e13670.

  7. Liu, J., Xu, Z., Yang, Y., Zhou, K., & Kumar, M. (2024). Dynamic Prediction Model of Financial Asset Volatility Based on Bidirectional Recurrent Neural Networks. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-23.

  8. Nabi, S. T., Kumar, M., & Singh, P. (2024). A convolution deep architecture for gender classification of urdu handwritten characters. Multimedia Tools and Applications, 1-16.

  9. Rani, V., Kumar, M., Gupta, A., Sachdeva, M., Mittal, A., & Kumar, K. (2024). Self-supervised learning for medical image analysis: a comprehensive review. Evolving Systems, 1-27.

  10. Shaheed, K., Abbas, Q., & Kumar, M. (2024). Automatic diagnosis of CoV-19 in CXR images using haar-like feature and XgBoost classifier. Multimedia Tools and Applications, 1-23.

  11. Shaheed, K., Szczuko, P., Kumar, M., Qureshi, I., Abbas, Q., & Ullah, I. (2024). Deep learning techniques for biometric security: A systematic review of presentation attack detection systems. Engineering Applications of Artificial Intelligence, 129, 107569.

  12. Sidhu, S., Khurana, S. S., Kumar, M., Singh, P., & Bamber, S. S. (2024). Sentiment analysis of Hindi language text: a critical review. Multimedia Tools and Applications, 83(17), 51367-51396.

  13. Singh, P., Singh, P., Farooq, U., Khurana, S. S., Verma, J. K., & Kumar, M. (2024). Retraction Note: CottonLeafNet: cotton plant leaf disease detection using deep neural networks.

  14. Singh, S., Garg, N. K., & Kumar, M. (2024). VGG16: Offline handwritten devanagari word recognition using transfer learning. Multimedia Tools and Applications, 1-34.

  15. Singla, C., Maini, R., & Kumar, M. (2024). Age, gender and handedness prediction using handwritten text: A comprehensive survey. Engineering Applications of Artificial Intelligence, 128, 107432.

Year 2023

  1. Kaur, H., Bansal, S., Kumar, M., Mittal, A., & Kumar, K. (2023). Worddeepnet: handwritten  gurumukhi word recognition using convolutional neural network. Multimedia Tools and  Applications, 82(30), 46763-46788.  

  2. Kaur, H., Rani, V., Kumar, M., Sachdeva, M., Mittal, A., & Kumar, K. (2023). Federated  learning: a comprehensive review of recent advances and applications. Multimedia Tools and  Applications, 1-24.  

  3. Sidhu, S., Khurana, S. S., Kumar, M., Singh, P., & Bamber, S. S. (2023). Sentiment analysis  of Hindi language text: a critical review. Multimedia Tools and Applications, 1-30.
  4.  Naman, S., Sharma, S., Kumar, M., Kumar, M., & Baldi, A. (2023). Developing a CNN-Based  Machine Learning Model for Cardamom Identification: A Transfer Learning Approach. Latin  American Journal of Pharmacy: A Life Science Journal, 42(6), 565-574.  
  5.  Farooq, U., Khurana, S. S., Singh, P., & Kumar, M. (2023). An Empirical Study on Detection of  Android Adware Using Machine Learning Techniques. Multimedia Tools and Applications, 1- 40.  
  6. Singh, P., Singh, P., Farooq, U., Khurana, S. S., Verma, J. K., & Kumar, M. (2023).  CottonLeafNet: cotton plant leaf disease detection using deep neural networks. Multimedia  Tools and Applications, 82(24), 37151-37176.
  7. Rani, V., & Kumar, M. (2023). Human gait recognition: A systematic review. Multimedia Tools  and Applications, 82(24), 37003-37037.
  8.  Mohiuddin, S., Malakar, S., Kumar, M., & Sarkar, R. (2023). A comprehensive survey on state of-the-art video forgery detection techniques. Multimedia Tools and Applications, 82(22), 33499-33539
  9. Kumar, M., Jindal, M. K., & Kumar, M. (2023). An efficient technique for breaking of coloured  Hindi CAPTCHA. Soft Computing, 27(16), 11661-11686.  
  10. Singh, N., Kumar, M., Singh, B., & Singh, J. (2023). DeepSpacy-NER: an efficient deep  learning model for named entity recognition for Punjabi language. Evolving Systems, 14(4),  673-683.  
  11. Kaur, R. P., Kumar, M., & Jindal, M. K. (2023). Performance evaluation of different features  and classifiers for Gurumukhi newspaper text recognition. Journal of Ambient Intelligence and  Humanized Computing, 14(8), 10245-10261. 
  12. Kaur, H., Kumar, M., Gupta, A., Sachdeva, M., Mittal, A., & Kumar, K. (2023). Bagging: An  Ensemble Approach for Recognition of Handwritten Place Names in Gurumukhi Script. ACM  Transactions on Asian and Low-Resource Language Information Processing, 22(7), 1-25.
  13. Nabi, S. T., Singh, P., & Kumar, M. (2023, July). Writer Identification from Offline Handwriting  Images in Urdu Script with Dense-Net: A Deep Learning Approach. In 2023 14th International  Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6).  IEEE. 
  14. Kaur, A., Kumar, M., & Jindal, M. K. (2023). Cattle identification system: a comparative analysis  of SIFT, SURF and ORB feature descriptors. Multimedia Tools and Applications, 82(18),  27391-27413.  
  15. Maqbool, J., Mann, T. S., Kaur, N., Gupta, A., Mittal, A., Aggarwal, P., Kumar, M & Saini, S. S.  (2023). SegCon: A Novel Deep Neural Network for Seg mentation of Con junctiva Region.  In Advances in Data-driven Computing and Intelligent Systems: Selected Papers from ADCIS  2022, Volume 2 (pp. 719-730). Singapore: Springer Nature Singapore.  
  16. Nabi, S. T., Singh, P., & Kumar, M. (2023, May). Gender Classification from Offline Handwriting  Images in Urdu Script: LeNet-5 and Alex-Net. In 2023 3rd International Conference on Applied  Artificial Intelligence (ICAPAI) (pp. 1-6). IEEE. 
  17. Sethi, M., Kumar, M., & Jindal, M. K. (2023). Gender prediction system through behavioral  biometric handwriting: a comprehensive review. Soft Computing, 27(10), 6307-6327.  
  18. Nabi, S. T., Kumar, M., & Singh, P. (2023). DeepNet-WI: A deep-net model for offline Urdu  writer identification. Evolving Systems, 1-11. 
  19.  Singh, S., Garg, N. K., & Kumar, M. (2023). On the performance analysis of various features  and classifiers for handwritten Devanagari word recognition. Neural Computing and  Applications, 35(10), 7509-7527.  
  20.  Bansal, M., Kumar, M., Sachdeva, M., & Mittal, A. (2023). Transfer learning for image  classification using VGG19: Caltech-101 image data set. Journal of ambient intelligence and  humanized computing, 1-12. 

  21. Sitender, Bawa, S., Kumar, M., & Sangeeta. (2023). A comprehensive survey on machine  translation for English, Hindi and Sanskrit languages. Journal of Ambient Intelligence and  Humanized Computing, 14(4), 3441-3474.  

  22. Rani, V., & Kumar, M. (2023, March). DeepNet-Gait: Human Identification by Gait Using  Convolutional Neural Network Model. In 2023 10th International Conference on Signal  Processing and Integrated Networks (SPIN) (pp. 115-120). IEEE.  

  23. Kaur, A., Kumar, M., & Jindal, M. K. (2023, March). Analytical Study of Hybrid Features and  Classifiers for Cattle Identification. In International Conference on Communications and Cyber  Physical Engineering 2018 (pp. 623-631). Singapore: Springer Nature Singapore.  
  24. Singh, A., Kukreja, V., & Kumar, M. (2023). An empirical study to design an effective agile  knowledge management framework. Multimedia tools and applications, 82(8), 12191-12209.
  25.  Kaur, G., Singh, N., & Kumar, M. (2023). Image forgery techniques: a review. Artificial  Intelligence Review, 56(2), 1577-1625. 
  26. Kaur, H., & Kumar, M. (2023). Signature identification and verification techniques: state-of-the art work. Journal of Ambient Intelligence and Humanized Computing, 14(2), 1027-1045.  
  27. Sandhu, J. K., Singh, A., & Kumar, M. (2023). An Efficient Speech Enhancement Approach for  Punjabi Language Using Acoustic and Tonal Features. NeuroQuantology, 21(6), 1527.  
  28. Dhalla, S., Maqbool, J., Mann, T. S., Gupta, A., Mittal, A., Aggarwal, P., Kumar, M & Saini, S.  S. (2023). Semantic segmentation of palpebral conjunctiva using predefined deep neural  architectures for anemia detection. Procedia Computer Science, 218, 328-337.  
  29. Rani, V., Nabi, S. T., Kumar, M., Mittal, A., & Kumar, K. (2023). Self-supervised learning: A  succinct review. Archives of Computational Methods in Engineering, 30(4), 2761-2775.
  30. Dargan, S., Bansal, S., Kumar, M., Mittal, A., & Kumar, K. (2023). Augmented reality: A  comprehensive review. Archives of Computational Methods in Engineering, 30(2), 1057-1080. 
  31. Walia, S., Kumar, K., & Kumar, M. (2023). Unveiling digital image forgeries using Markov based  quaternions in frequency domain and fusion of machine learning algorithms. Multimedia Tools  and Applications, 82(3), 4517-4532

  32.  Misgar, M. M., Mushtaq, F., Khurana, S. S., & Kumar, M. (2023). Recognition of offline  handwritten Urdu characters using RNN and LSTM models. Multimedia Tools and  Applications, 82(2), 2053-2076.  

  33.  Sethi, M., Jindal, M. K., & Kumar, M. (2022, June). Feature extraction techniques for gender  classification based on handwritten text: a critical review. In Proceedings of International  Conference on Frontiers in Computing and Systems: COMSYS 2021 (pp. 191-201). Singapore:  Springer Nature Singapore.  

  34. Singh, S., Garg, N. K., & Kumar, M. (2023). Feature extraction and classification techniques  for handwritten Devanagari text recognition: a survey. Multimedia Tools and  Applications, 82(1), 747-775.

  35. Rani, S., Kaur, M., Kumar, M., Ravi, V., Ghosh, U., & Mohanty, J. R. (2023). Detection of  shilling attack in recommender system for YouTube video statistics using machine learning techniques. Soft Computing, 27(1), 377-389.                 

Year 2022

1. Dhiman, B., Kumar, Y., & Kumar, M.. (2022). Fruit Quality  Evaluation Using Machine Learning Techniques: Review, Motivation and future perspectives. Multimedia Tools and Applications, 81(12), 16255–16277. (SCI Indexed) https://doi.org/10.1007/s11042-022-12652-2

2. Jan, T. G., Khurana, S. S., & Kumar, M. (2022). Semi-supervised labeling: A proposed methodology for labeling the Twitter datasets. Multimedia Tools and Applications, 81(6), 7669–7683. (SCI Indexed) https://doi.org/10.1007/s11042-022-12221-7

3. Kaur, A., Kumar, M., & Jindal, M. K. (2022). Cattle identification muzzle pattern using Computer Vision Technology: A critical review and prospective. Soft Computing, 26(10), 4771–4795. (SCI Indexed)  https://doi.org/10.1007/s00500-022-06935-x

4. Kaur, A., Kumar, M., & Jindal, M. K. (2022). Shi-Tomasi Corner detector for cattle identification from muzzle print image pattern. Ecological Informatics, 68, 101549. (SCI Indexed)  https://doi.org/10.1016/j.ecoinf.2021.101549

5. Kaur, G., Singh, N., & Kumar, M. (2022). Image forgery techniques: A Review. Artificial Intelligence Review. (SCI Indexed) https://doi.org/10.1007/s10462-022-10211-7

6. Kaur, R. P., Kumar, M., & Jindal, M. K. (2022). Performance evaluation of different features and classifiers for Gurumukhi Newspaper Text Recognition. Journal of Ambient Intelligence and Humanized Computing.  (SCI Indexed)  https://doi.org/10.1007/s12652-021-03687-8

7. Koul, S., Kumar, M., Khurana, S. S., Mushtaq, F., & Kumar, K. (2022). An efficient approach for copy-move image forgery detection using Convolution Neural Network. Multimedia Tools and Applications, 81(8), 11259–11277. (SCI Indexed) https://doi.org/10.1007/s11042-022-11974-5

8. Kumar, M., Jindal, M. K., & Kumar, M. (2022). Design of innovative CAPTCHA for Hindi language. Neural Computing and Applications, 34(6), 4957–4992. (SCI Indexed) https://doi.org/10.1007/s00521-021-06686-0

9. Kumar, M., Jindal, M. K., & Kumar, M. (2022). Distortion, rotation and scale-invariant recognition of hollow Hindi characters. SADHANA, 47(2). (SCI Indexed) https://doi.org/10.1007/s12046-022-01847-w

10. Misgar, M. M., Mushtaq, F., Khurana, S. S., & Kumar, M. (2022). Recognition of offline handwritten Urdu characters using RNN and LSTM models. Multimedia Tools and Applications.  (SCI Indexed) https://doi.org/10.1007/s11042-022-13320-1

11. Rani, V., Kumar, M., Mittal, A., & Kumar, K. (2022). Artificial Intelligence for cybersecurity: Recent advancements, challenges and opportunities. Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, 73–88. (SCI Indexed) https://doi.org/10.1007/978-3-030-96737-6_4

12. Shaheed, K., Mao, A., Qureshi, I., Abbas, Q., Kumar, M., & Zhang, X. (2022). Finger-vein presentation attack detection using depthwise separable convolution neural network. Expert Systems with Applications, 198, 116786. (SCI Indexed) https://doi.org/10.1016/j.eswa.2022.116786

13. Shaheed, K., Mao, A., Qureshi, I., Kumar, M., Hussain, S., & Zhang, X. (2022). Recent advancements in finger vein recognition technology Methodology, challenges and opportunities. Information Fusion, 79, 84–109. (SCI Indexed) https://doi.org/10.1016/j.inffus.2021.10.004

14. Shaheed, K., Mao, A., Qureshi, I., Kumar, M., Hussain, S., Ullah, I., & Zhang, X. (2022). DS-CNN: A pre-trained XCEPTION model based on depth-wise separable convolutional neural network for finger vein recognition. Expert Systems with Applications, 191, 116288. (SCI Indexed)  https://doi.org/10.1016/j.eswa.2021.116288

15. Singh, A., Kaur, N., Kukreja, V., Kadyan, V., & Kumar, M. (2022). Computational intelligence in processing of Speech Acoustics: A survey. Complex & Intelligent Systems, 8(3), 2623–2661. (SCI Indexed)  https://doi.org/10.1007/s40747-022-00665-1 

16. Singh, S., Garg, N. K., & Kumar, M. (2022). Feature extraction and classification techniques for handwritten Devanagari text recognition: A survey. Multimedia Tools and Applications. (SCI Indexed)  https://doi.org/10.1007/s11042-022-13318-9

Year 2021

  1. Chaturvedi, V., Kaur, A. B., Varshney, V., Garg, A., Chhabra, G. S., & Kumar, M. (2021). Music mood and human emotion recognition based on physiological signals: A systematic review. Multimedia Systems, 28(1), 21–44. (SCI Indexed)  https://doi.org/10.1007/s00530-021-00786-6

  2. Kumar, M., Jindal, M. K., & Kumar, M. (2021). A systematic survey on CAPTCHA RECOGNITION: Types, creation and breaking techniques. Archives of Computational Methods in Engineering, 29(2), 1107–1136. (SCI Indexed)https://doi.org/10.1007/s11831-021-09608-4

  3. M. Bansal, Munish Kumar, and M. Kumar, "2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors", Multimedia Tools and Applications, 2021 (SCI Indexed) https://link.springer.com/article/10.1007%2Fs11042-021-10646-0

  4. Y. Kumar, N. Singh, Munish Kumar, and A. Singh, “AutoSSR: an efficient approach for automatic spontaneous speech recognition model for the Punjabi Language”, Soft Computing, Vol. 25, pp. 1617–1630, 2021 (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-05248-1

  5. M. Mittal, Munish Kumar, A. Verma, I. Kaur, B. Kaur, M. Sharma and L. M. Goyal, “FEMT: a computational approach for fog elimination using multiple thresholds”, Multimedia Tools and Applications, Vol. 80, pp. 227–241, 2021 (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-09657-0

  6. M. Arora and Munish Kumar, “AutoFER: PCA and PSO Based Automatic Facial Emotion Recognition”, Multimedia Tools and Applications, Vol. 80, pp. 3039–3049, 2021.(SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-09726-4

  7. H. Kaur and Munish Kumar “On the Recognition of Offline Handwritten Word Using Holistic Approach and AdaBoost Methodology”, Multimedia Tools and Applications, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-10297-7

  8. A. Kumar, Munish Kumar, A. Kaur “Face Detection in Still Images under Occlusion and non-uniform illumination” Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-10457-9

  9. S. Rani, M. Kaur and Munish Kumar “Detection of Shilling Attack in Recommender System for YouTube Video Statistics using Machine Learning Techniques”, Soft Computing, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-021-05586-8

  10. K. Kapoor, S. Rani, Munish Kumar, V. Chopra and G. S. Brar “Hybrid Local Phase Quantization and Grey Wolf Optimization Based SVM for Finger Vein Recognition”, Multimedia Tools and Applications, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-021-10548-1

  11. H. Singh, R. K. Sharma, V. P. Singh and Munish Kumar “Recognition of Online Handwritten Gurmukhi Characters Using Recurrent Neural Network”, Soft Computing, 2021 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-021-05620-9

  12. Munish Kumar, N. Singh, R. Kumar, S. Goel and K. Kumar “Gait Recognition Based on Vision Systems: A Systematic Survey”, Journal of Visual Communication and Image Representation, Vol. 75, pp. 103052, 2021, (SCI Indexed).https://www.sciencedirect.com/science/article/abs/pii/S1047320321000249

  13. M. Bansal, Munish Kumar and M. Kumar “2D Object Recognition: A Comparative Analysis of SIFT, SURF, and ORB Feature Descriptors”, Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-021-10646-0

  14. L. M. Goyal, M. Mittal, Munish Kumar, B. Kaur, M. Sharma and A. Verma, "An Efficient Method of Multicolor Detection Using Global Optimum Thresholding For Image Analysis”, Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-020-10365-y

  15. K. Shaheed, A. Mao, I. Qureshi, Munish Kumar, Q. Abbas, I. Ullah and X. Zhang, "A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends", Archives of Computational Methods in Engineering, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11831-021-09560-3

  16. S. Singh, U. Ahuja, Munish Kumar, K. Kumar and M. Sachdeva, "Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment", Multimedia Tools and Applications, 2021(In Press), (SCI Indexed). https://link.springer.com/article/10.1007/s11042-021-10711-8

  17. S. R. Narang, Munish Kumar, M. K. Jindal, "DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition", Multimedia Tools and Applications, 2021(In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11042-021-10775-6.

Year 2020

  1. P. Chhabra, N. K. Garg and Munish Kumar, “Content-Based Image Retrieval System using ORB and SIFT Features”, Neural Computing and Applications, Vol. 32, pp. 2725–2733, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s00521-018-3677-9

  2. Munish Kumar and S. R. Jindal, “A Study of Recognition of Pre-Segmented Handwritten Multi-lingual Characters”, Archives of Computational Methods in Engineering, Vol. 27, pp. 577–589, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s11831-019-09332-0

  3. Munish Kumar, M. K. Jindal, R. K. Sharma, and S. R. Jindal, “Performance Evaluation of Classifiers for the Recognition of Offline Handwritten Gurumukhi Characters and Numerals: A Study”, Artificial Intelligence Review, Vol. 53, pp. 2075–2097, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s10462-019-09727-2

  4. A. Singh, V. Kadyan, Munish Kumar, and N. Baggan “ASRoIL: a comprehensive survey for automatic speech recognition of Indian languages”, Artificial Intelligence Review, Vol. 53, pp. 3673–3704, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s10462-019-09775-8

  5. S. Gupta and Munish Kumar, “Forensic document examination system using boosting and bagging methodologies”, Soft Computing, Vol. 24, pp. 5409–5426, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s00500-019-04297-5

  6. R. P. Kaur, Munish Kumar and M. K. Jindal, “Newspaper Text Recognition of Gurumukhi Script Using Random Forest Classifier”, Multimedia Tools and Applications, Vol. 79, pp. 7435–7448, 2020.(SCI Indexed) https://link.springer.com/article/10.1007/s11042-019-08365-8

  7. S. Dargan and Munish Kumar, “A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities”, Expert Systems with Applications, Vol. 143, 1131142020, 2020. (SCI Indexed) https://www.sciencedirect.com/science/article/abs/pii/S0957417419308310

  8. Munish Kumar, S. Gupta and N. Mohan, “A Computational Approach for Printed Document Forensics using SURF and ORB Features” Soft Computing, Vol. 24, pp. 13197-13208, 2020 (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-04733-x

  9. S. Gupta, K. Thakur and Munish Kumar, “2D-Human Face Recognition Using SIFT and SURF descriptors of Face’s Feature Regions” The Visual Computer, pp. 1-10, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00371-020-01814-8

  10. M. Bansal, Munish Kumar, and M. Kumar, “2D Object Recognition Techniques: State- of-the-Art Work”, Archives of Computational Methods in Engineering, pp. 1-15, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s11831-020-09409-1

  11. S. R. Narang, M. K. Jindal and Munish Kumar, “Ancient Text Recognition: A Review” Artificial Intelligence Review, Vol. 53, pp. 5517–5558,2020. DOI: 10.1007/s10462020-09827-4 (SCI Indexed) https://link.springer.com/article/10.1007/s10462-020-09827-4

  12. I. R. Parray, S. Singh and Munish Kumar, “Time Series Data Analysis of Stock Price Movement Using Machine Learning Techniques”, Soft Computing, Vol. 24, pp. 16509- 16517, 2020. (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-04957-x

  13. S. R. Narang, M. K. Jindal, S. Ahuja, and Munish Kumar, “On the Recognition of Devanagari Ancient Handwritten Characters using SIFT and Gabor Features”, Soft Computing, Vol. 24, pp. 17279-17289, 2020 (SCI Indexed https://link.springer.com/article/10.1007/s00500-020-05018-z

  14. S. Gupta, N. Mohan and Munish Kumar, “A Study on Source Device Attribution using Still Images”, Archives of Computational Methods in Engineering, 2020. (SCI Indexed https://link.springer.com/article/10.1007/s11831-020-09452-y

  15. R. P. Kaur, M. K. Jindal, and Munish Kumar, “Text and Graphics Segmentation of Newspaper Printed in Gurmukhi Script: A Hybrid Approach”, The Visual Computer, 2020 (In Press), (SCI Indexed https://link.springer.com/article/10.1007/s00371-020-01927-0

  16. H. Kaur and Munish Kumar, “Offline Handwritten Gurumukhi Word Recognition Using eXtreme Gradient Boosting Methodology”, Soft Computing, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-05455-w

  17. M. Bansal, Munish Kumar, M. Kumar, K. Kumar “An Efficient Technique for Object Recognition Using Shi-Tomasi Corner Detection Algorithm”, Soft Computing, 2020 (In Press), (SCI Indexed) https://link.springer.com/article/10.1007/s00500-020-05453-y

  18. Munish Kumar, S. Gupta, K. Kumar and M. Sachdeva, “Spreading of Covid-19 in India, Italy, Japan, Spain, UK, US: A Prediction Using ARIMA and LSTM Model”, Digital Government: Research and Practice, Article No. 24,2020 https://dl.acm.org/doi/10.1145/3411760

  19. R. P. Kaur, M. K. Jindal and Munish Kumar, “Newspaper Text Recognition of Gurumukhi Script using Random Forest Classifier”, Proceedings of International Conference on Machine Intelligence and Data Science Applications (MIDAS-2020),2020.
  20. R. P. Kaur, M. K. Jindal and Munish Kumar, “TxtLineSeg: Text Line Segmentation of Unconstrained Printed Text in Devanagari Script”, Proceedings of International Conference on Computational Methods and Data Engineering, pp. 85-100,2020.
  21. H. Kaur and Munish Kumar, “Offline Handwritten Gurumukhi Place Names Recognition using Curve Fitting Based Features”, Proceedings of International Conference on Robotics, Machine Learning and Artificial Intelligence,2020 https://link.springer.com/chapter/10.1007%2F978-981-15-7907-3_7
  22. M. Bansal, Munish Kumar, and M. Kumar “XGBoost: 2D-Object Recognition using Shape Descriptors and Extreme Gradient Boosting Classifier”, Proceedings of International Conference on Computational Methods and Data Engineering, pp. 207-222, 2020.
  23. H. Kaur and Munish Kumar, “Feature Selection Techniques for Offline Handwritten Gurumukhi Place Name Recognition”, Proceedings of International Conference on Machine Intelligence and Data Science Applications (MIDAS-2020),2020.
  24. S. Dargan and Munish Kumar, “Writer Identification System Based on Offline handwritten Text in Gurumukhi Script”, Proceedings of International Conference on Parallel, Distributed and Grid Computing (PDGC-2020),2020.
  25. M. Bansal, Munish Kumar, and M. Kumar “2D-Object Recognition: Performance Comparison of Various Feature Extraction Techniques for Caltech-101 Image Dataset”, Proceedings of International Conference on Advances and Applications of Artificial Intelligence & Machine Learning, pp. 207-222,2020 https://link.springer.com/chapter/10.1007/978-981-15-6876-3_16 

  26. S. Dargan and Munish Kumar, “Writer Identification System Based on Offline handwritten Text in Gurumukhi Script”, Proceedings of International Conference on Parallel, Distributed and Grid Computing (PDGC-2020),2020.

  27. H. Singh, R. K. Sharma, R. Kumar, K. Verma, R. Kumar and Munish Kumar, “A Benchmark Dataset of Online Handwritten Gurmukhi Script Words and Numerals”, Proceedings of the International Conference on Computer Vision and Image Processing, 457- 466,2020. https://link.springer.com/chapter/10.1007/978-981-15-4018-9_41

Year 2019

  1. Munish Kumar, M. K. Jindal, R. K. Sharma and S. R. Jindal, “Character and Numeral Recognition for Non-Indic and Indic Scripts: A Survey”, Artificial Intelligence Review, Vol. 52(4), pp. 2235-2261, 2019. DOI: 10.1007/s10462-017-9607-x (SCI Indexed) https://link.springer.com/article/10.1007/s10462-017-9607-x
  2.  A. Kumar, A. Kaur and Munish Kumar, “Face Detection Techniques: A Review”, Artificial Intelligence Review, Vol. 52(2), pp. 927-948, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s10462-018-9650-2
  3. Munish Kumar and S. R. Jindal, “Fusion of RGB and HSV Colour Space for Foggy Image Quality Enhancement”, Multimedia Tools and Applications, Vol. 78(8), pp. 9791- 9799, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s11042-018-6599-8
  4. Munish Kumar, S. R. Jindal, M. K. Jindal and G. S. Lehal, “Improved Recognition Results of Medieval Handwritten Gurmukhi Manuscripts using Boosting and Bagging Methodologies”, Neural Processing Letters, Vol. 50(1), pp. 43-56, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s11063-018-9913-6
  5. S. Dargon and Munish Kumar, “Writer Identification System for Indic and Non-Indic Scripts: State-of-the-art Survey”, Archives of Computational Methods in Engineering, Vol. 26(4), pp. 1283-1311, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s11831-018-9278-z
  6. P. Kaur, R. Kumar and Munish Kumar, “A Healthcare Monitoring System using Random Forest and Internet of Things (IoT)”, Multimedia Tools and Applications, Vol. 78(14), pp. 19905-19916, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s11042-019-7327-8
  7. S. Goel, R. Kumar, Munish Kumar and V. Chopra, “An Efficient Page Ranking Approach Based on Vector Norms using sNorm (p) Algorithm”, Information Processing and Management, Vol. 56(3), pp. 1053-1066, 2019. (SCI Indexed)https://www.sciencedirect.com/science/article/abs/pii/S0306457318305454
  8. S. R. Narang, M. K. Jindal and Munish Kumar, “Devanagari Ancient Character Recognition using DCT Features with Adaptive Boosting and Bootstrap Aggregating”, Soft Computing, Vol. 23, pp. 13603–13614, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s00500-019-03897-5
  9. S. R. Narang, M. K. Jindal and Munish Kumar, “Devanagari Ancient Character Recognition using Statistical Feature Extraction Techniques”, SADHANA, Vol. 44: 141, 2019. (SCI Indexed https://www.ias.ac.in/describe/article/sadh/044/06/0141
  10. S. R. Narang, M. K. Jindal and Munish Kumar, “Drop Flow Method: An Iterative Algorithm for Complete Segmentation of Devanagari Ancient Manuscripts”, Multimedia Tools and Applications, Vol. 78(16), pp. 23255-23280, 2019. (SCI Indexed) https://link.springer.com/article/10.1007/s11042-019-7620-6
  11. S. Dargan, Munish Kumar, M. R. Ayyagari, and G. Kumar, “A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning”, Archives of Computational Methods in Engineering, Vol. 27, pages1071–1092, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s11831-019-09344-w
  12. R. P. Kaur, M. K. Jindal and Munish Kumar, “Recognition of Newspaper Printed in Gurmukhi Script”, Journal of Central South University, Vol. 26(9), pp. 2495-2503, 2019 (SCI Indexed) https://link.springer.com/article/10.1007/s11771-019-4189-1
  13. S. R. Narang, M. K. Jindal and Munish Kumar, “Line Segmentation of Devanagari Ancient Manuscript”, Proceedings of the National Academy of Sciences- Physical Science- A, Vol. 90, pp. 717–724, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s40010-019-00627-2
  14. S. Gupta, Munish Kumar and A. Garg, “Improved Object Recognition Results using SIFT and ORB Feature Detector”, Multimedia Tools and Applications, Vol. 78, pp. 34157–34171, 2019. (SCI Indexed https://link.springer.com/article/10.1007/s11042-019-08232-6
  15. Munish Kumar, Surbhi Gupta, Xiao-Zhi Gao, Amitoj Singh, “Plant Species Recognition Using Morphological Features and Adaptive Boosting Methodology”, IEEE Access, Vol. 7, pp. 163912-163918, 2019. (SCI Indexed https://ieeexplore.ieee.org/document/8894140
  16. S. Dargan and Munish Kumar, A. Garg and K. Thakur, “Writer Identification System for Pre-Segmented Offline Handwritten Devanagari Characters using k-NN and SVM”, Soft Computing, Vol. 24, pp. 10111–10122, 2019.(SCI Indexed) https://link.springer.com/article/10.1007/s00500-019-04525-y

  17. H. Singh, R. K. Sharma and Munish Kumar, “A Benchmark Dataset of Online Handwritten Gurmukhi Script Words and Numerals”, Proceedings of the International Conference on Computer Vision and Image Processing, Jaipur, India,2019 https://link.springer.com/chapter/10.1007/978-981-15-4018-9_41

 

Year 2018

  1. Munish Kumar, M. K. Jindal and R. K. Sharma, “A Novel Handwriting Grading System Using Gurmukhi Characters”, International Arab Journal of Information Technology, Vol. 15 (6), pp. 945-950, 2018. (SCI Indexed http://iajit.org/index.phpoption=com_content&task=view&id=1635&Itemid=25
  2. Munish Kumar, M. K. Jindal, R. K. Sharma and S. R. Jindal, “Offline Handwritten Numeral Recognition using Combination of Different Feature Extraction Techniques”, National Academy Science Letters, Vol. 41(1), pp. 29-33, 2018. (SCI Indexed) https://link.springer.com/article/10.1007/s40009-017-0606-x
  3. Malika Arora, Munish Kumar and N. K. Garg, “Facial Emotion Recognition Based on PCA and Gradient Features”, National Academy Science Letters, Vol. 41 (6), pp. 365-368, 2018. (SCI Indexed https://link.springer.com/article/10.1007/s40009-018-0694-2
  4. Munish Kumar, P. Chhabra and N. K. Garg, “An Efficient Content Based Image Retrieval System Using BayesNet and K-NN”, Multimedia Tools and Applications, Vol. 77 (16), pp. 21557-21570, 2018. (SCI Indexed https://link.springer.com/article/10.1007/s11042-017-5587-8
  5. Diksha Garg, N. K. Garg and Munish Kumar, “Underwater Image Enhancement using Blending of CLAHE and Percentile Methodologies”, Multimedia Tools and Applications, Vol. 77 (20), pp. 26545-26561, 2018. (SCI Indexed https://link.springer.com/article/10.1007/s11042-018-5878-8
  6. H. Kaur and Munish Kumar, “A Comprehensive Survey on Word Recognition for non-Indic and Indic Scripts”, Pattern Analysis and Applications, Vol. 21(4), pp. 897-929, 2018. (SCI Indexed https://link.springer.com/article/10.1007/s10044-018-0731-2
  7. Munish Kumar, M. K. Jindal, R. K. Sharma and S. R. Jindal, “A Novel Framework for Writer Identification Based on Pre-Segmented Gurmukhi Characters”, SADHANA, Vol. 43(12), pp. 197, 2018. (SCI Indexed https://link.springer.com/article/10.1007/s12046-018-0966-z
  8. M. Khatri, Munish Kumar and A. Jain, “Pulmonary Lesion Detection and Staging from CT Images Using Watershed Algorithm”, Proceedings of the 8thInternational Conference on Advance Computing Conference (IACC), Benett University, Noida, pp. 108- 112,2018 https://ieeexplore.ieee.org/document/8692125
  9. Munish Kumar, M. K. Jindal, R. K. Sharma and S. R. Jindal, “Performance Comparison of Several Feature Selection Techniques for Offline Handwritten Character Recognition”, Proceedings of International Conference on Research in Intelligent and Computing in Engineering, pp. 1-6,2018. https://ieeexplore.ieee.org/document/8509076
  10. R. P. Kaur, M. K. Jindal and Munish Kumar, “Zone Segmentation of a Text line Printed in Gurmukhi Script Newspaper”, Proceedings of 5thInternational Conference on Parallel, Distributed and Grid Computing (PDGC-2018), Jaypee University of Information Technology, Waknaghat (Shimla), pp. 330-334,2018 https://ieeexplore.ieee.org/document/8745796
  11. Munish Kumar, R. K. Sharma, M. K. Jindal, S. R. Jindal and H. Singh, “Benchmark Datasets for Offline Handwritten Gurmukhi Script Recognition”, 

DEPARTMENT HEAD

Photograph Name Designation Highest Qualification Area of Interest/Research Contact Details
Dr. Munish Kumar Dr. Munish Kumar Associate Professor & Head M.E. (CSE), Ph.D., UGC-NET, GATE Document Analysis and Recognition, Image Processing, Pattern Recognition, Machine Learning 9872319157

FACULTY

Photograph Name Designation Highest Qualification Area of Interest/Research Contact Details
Prof. Sanjay Bhatnagar Prof. Sanjay Bhatnagar Associate Professor M.Phil Computer Science Programming Languages, Image Processing, VANET 9815007864
Dr.Amitoj Singh Dr.Amitoj Singh Assistant Professor (On Lien) MCA, Ph.D Software Development Methodology, Language Technologies, Speech Signal Processing 9855000456
Dr. Anju Sharma (Shifted to PSAEC, Patiala) Dr. Anju Sharma (Shifted to PSAEC, Patiala) Assistant Professor Ph.D. Grid Computing, Cloud Computing 7888874425
Sandeep Kaur Sandeep Kaur Assistant Professor M.Tech (CSE), UGC NET Image Processing, Machine Learning --
Manjinder Singh Manjinder Singh Assistant Professor (Lecture Basis) M.Phil Programming Languages, Machine Learning, VANET 9803318704
Jasreet Jasreet Assistant Professor (Guest Faculty) M.Phil Cloud Computing 9872377877
Dr. Ramandeep Kaur Dr. Ramandeep Kaur Assistant Professor (Lecture Basis) PhD Big Data -----
Sukhbir Singh Sukhbir Singh Assistant Professor (Guest Faculty) M.Tech, Ph.D. Pursuing* Programming Languages, Artificial Intelligence 9316306336
Shaina Shaina Assistant Professor (Guest Faculty) M.Tech Natural Language Processing 7986883577
Sumanpreet Singh Sumanpreet Singh Assistant Professor (Guest Faculty) MCA Web Development, Artificial Intelligence 7087201446
Narwair preet singh sidhu Narwair preet singh sidhu Assistant Professor (Guest Faculty) MCA Data Structure, Software Engineering and InformationTechnology 7307374591
Arshdeep Gill Arshdeep Gill Assistant Professor (Guest Faculty) MCA InformationTechnology 8360621382
Gurjot Singh Sidhu Gurjot Singh Sidhu Assistant Professor (Guest Faculty) M.Tech(CSE) Computer Networks 9815472005
Jasdevinder Singh Jasdevinder Singh Assistant Professor (Guest Faculty) MCA Computer Applications 9807600009
Manveer Kaur Manveer Kaur Assistant Professor (Guest Faculty) MCA Artificial Intelligence 6283808032
Amanpreet Kaur Amanpreet Kaur Assistant Professor (Lecture Basis) MCA Data Structure and InformationTechnology -----
Sanampreet Kaur Sanampreet Kaur Assistant Professor (Guest Faculty) MCA Data Sciences, Computer Applications 9464219907
Jasveer Kaur Jasveer Kaur Assistant Professor (Guest Faculty) MCA Multimedia Applications 9478434312
Dr. Gurpreet Singh Dr. Gurpreet Singh Assistant Professor (Guest Faculty) PhD(Punjabi) Fiction, folklore and History 9646600666
Hasratjot Kaur Hasratjot Kaur Assistant Professor (Guest Faculty) M.P.Ed,Ph.D Thesis submitted(Physical Education) Public Health 9592521520
Manjot Rani Manjot Rani URF cum-Teaching Associate MCA, PhD Pursuing* Machine Learning, Image Processing ----
Manmeet Kaur Manmeet Kaur URF cum-Teaching Associate MCA, PhD Pursuing* Machine Learning, Image Processing 8054341645
Riya Singhal Riya Singhal Assistant Professor (Guest Faculty) MCA Programming Languages 9588868373
Sonakshi Sagar Sonakshi Sagar Assistant Professor (Guest Faculty) MCA Programming Languages 7087839166
Manpreet Kaur Manpreet Kaur Assistant Professor (Guest Faculty) MCA Programming Languages 7087046288
Kiranjeet Kaur Kiranjeet Kaur Assistant Professor (Guest Faculty) MCA, UGC-NET Programming Languages 8360189627
Deepinder Kaur Deepinder Kaur Assistant Professor (Guest Faculty) MCA Web development & Programming languages(C, C++ & Java) 8699508637
Bikkramjit Singh Bikkramjit Singh Assistant Professor (Guest Faculty) MCA Artificial Intelligence , Cyber Security, Computer Networks 7627889411
Jasmine Jasmine Assistant Professor (Guest Faculty) MCA Programming languages 9465687665
Gagandeep kaur Gagandeep kaur Assistant Professor (Guest Faculty) MCA Theory of Computation 9872514658
Ramanpreet Kaur Grewal Ramanpreet Kaur Grewal Assistant Professor (Guest Faculty) M.Phil ,MCA Operating System, System Analysis and Design 7087413810

NON TEACHING STAFF

Photograph Name Designation Highest Qualification Area of Interest/Research Contact Details
Sh. Sukhmander Singh Sh. Sukhmander Singh Techician Grade II Diploma in Computer Applications Computers 9914690482
Sh. Balwinder Singh Sh. Balwinder Singh Jr. Technician ITI(Computer Applications) Computers 9988661404
Savjot Pal Singh Savjot Pal Singh Jr. Technician MCA, M.A., B.Ed Computers 8872012487
Gurwinder Singh Gurwinder Singh Lab Assistant 12th Computers 9815607377
Navdeep Singh Navdeep Singh Lab Assistant B.A. Computers 9781759487
Jasmeet Singh Jasmeet Singh Peon 12th ------------ 6280235969

RESEARCH SCHOLAR

Photograph Name Designation Highest Qualification Area of Interest/Research Contact Details
Harmandeep Kaur Harmandeep Kaur PhD Awarded MCA, UGC-NET Document Analysis and Recognition 8437333500
Shaveta Dargan Shaveta Dargan PhD Awarded MCA, M.Phil Handwriting Identification 8360511806
Jaspreet Kaur Sandhu Jaspreet Kaur Sandhu Thesis Submitted M.Phil Speech Recognition 9646307574
Geeta Kocher Geeta Kocher PhD Awarded MCA, M. Tech. Network Based Intrusion Detection using Deep Learning Methods 8059100105
Nisha Gupta Nisha Gupta Research Scholar MCA Image Processing 76963-40632
Sandeep Kaur Gill Sandeep Kaur Gill Research Scholar M.E Optimization of Knowledge Graphs 9871118589
Veenu Rani Veenu Rani Thesis Submitted MCA, UGC-NET Machine Learning 7696511512
Manjot Rani Manjot Rani URF cum-Teaching Associate MCA Machine Learning, Image Processing ----
Manmeet Kaur Manmeet Kaur URF cum-Teaching Associate MCA Machine Learning, Image Processing ----
Jasdeep Singh Jasdeep Singh Research Scholar M. Tech. Quantum Machine Learning 8059653577
Amandeep Kaur Amandeep Kaur Research Scholar MCA, UGC-NET Machine Learning, IoT ----

VARIOUS LABS

Computational Science Lab - 2

Computational Science Lab - 2

Lab Number: D233

Lab Technician: Mr. Balwinder Singh & Mr. Shavjotpal Singh

Faculty Incharge: Dr. Munish Kumar & Mr. Arshdeep Singh

Computational Sciences lab is one of the most significant labs of the department. The lab is totally wifi-enabled, well-furnished.Here, students are imparted practical skills on Microsoft Office, programming languages like C, C++, JAVA, PYTHON; operating systems such as LINUX and Android.

Computational Science Lab - 1

Computational Science Lab - 1

Lab Number: D230

Lab Technician: Mr. Sukhmander Singh & Mr. Shavjotpal Singh

Faculty Incharge: Dr. Munish Jindal & Mr. Jasdevinder Singh

Computational Sciences lab is one of the most significant labs of the department. The lab is totally wifi-enabled, well-furnished.Here, students are imparted practical skills on Microsoft Office, programming languages like C, C++, JAVA, PYTHON; operating systems such as LINUX and Android.

Computational Sciences Lab

Computational Sciences Lab

Lab Number: C0001

Lab Technician: Sh. Sukhmander Singh, Sh. Balwinder Singh

Faculty Incharge: Dr. Munish Kumar

Computational Sciences lab is one of the most significant labs of the department. The lab is totally wifi-enabled, well-furnished, and is currently home to around 70 computer systems upgraded with the latest technology. Here, students are imparted practical skills on Microsoft Office, programming languages like C, C++, JAVA, PYTHON; operating systems such as LINUX and Android.

Alumini Cell

Sr. No. Batch Course Name Company/Department Name
1 2012-13 MCA Amandeep Sahota Revenue Patwari
2 2012-13 MCA Sukhcharan Singh DC Office, Bathinda
3 2012-13 MCA Priya DC Office, Bathinda
4 2012-13 MCA Rajdeep DC Office, Bathinda
5 2013-14 MCA Sunil Clerk Ayurvedic Department, Mansa
6 2013-14 MCA Anmol Clerk MRSPTU, Bathinda
7 2013-14 MCA Tejinder Kaur PO, Bank of India
8 2013-14 MCA Mankush WIPRO Software Engineers
9 2013-14 MCA Parshant Software Company, Gaziabad
10 2013-14 MCA Madhu Lecturer SD College, Barnala
11 2013-14 MCA Shweta Lecturer College, Mansa
12 2013-14 MCA Priyanka Lecturer College, Mansa
13 2013-14 MCA Nakshdeep Call Centre International, Chandigarh
14 2013-14 MCA Sonakshi Teacher, Millenium School, Bathinda
15 2014-15 MCA Gagandeep Lecturer Aklia College
16 2014-15 MCA Ramandeep Lecturer, Rajashthan University
17 2014-15 MCA Karam English Speaking Institute, Bathinda
18 2014-15 MCA Amandeep Jassal Senior Supervisor, Grey Matters
19 2014-15 MCA Arjun Verka Plant, Bathinda
20 2015-16 MCA Ramyash WIPRO Software Engineers
22 2015-16 MCA Alisha Gupta PiSoft, Mohali
23 2019-21 MCA Asif Khan MRSPTU,Bathinda

Placement Cells

Sr. No. Batch Name Company/Department Name
1 2012-13 Amandeep Sahota Revenue Patwari
2 2012-13 Sukhcharan Singh DC Office, Bathinda
3 2012-13 Priya DC Office, Bathinda
4 2012-13 Rajdeep DC Office, Bathinda
5 2013-14 Sunil Clerk Ayurvedic Department, Mansa
6 2013-14 Anmol Clerk MRSPTU, Bathinda
7 2013-14 Tejinder Kaur PO, Bank of India
8 2013-14 Mankush WIPRO Software Engineers
9 2013-14 Parshant Software Company, Gaziabad
10 2013-14 Madhu Lecturer SD College, Barnala
11 2013-14 Shweta Lecturer College, Mansa
12 2013-14 Priyanka Lecturer College, Mansa
13 2013-14 Nakshdeep Call Centre International, Chandigarh
14 2013-14 Sonakshi Teacher, Millenium School, Bathinda
15 2014-15 Gagandeep Lecturer Aklia College
16 2014-15 Ramandeep Lecturer, Rajashthan University
17 2014-15 Karam English Speaking Institute, Bathinda
18 2014-15 Amandeep Jassal Senior Supervisor, Grey Matters
19 2014-15 Arjun Verka Plant, Bathinda
20 2015-16 Ramyash WIPRO Software Engineers
21 2015-16 Alisha Gupta PiSoft, Mohali
22 2016-17 Rajwant Kaur PIT Nandgarh
23 2017-18 Gurnoor singh olympus personnel
24 2017-18 naveen kumar Million kart private limited
25 2020-22 Isha Garg Bebo technologies

EXTRA CURRICULAR

Freshers Party 2024

Freshers Party 2024

Event Date: 2024-09-19
Faculty Incharge: Prof. Sanjay Bhatnagar and Dr. Munish Kumar
Teachers Day 2024

Teachers Day 2024

Event Date: 2024-09-05
Faculty Incharge: Prof. Sanjay Bhatnagar and Dr. Munish Kumar
One-Day Trip

One-Day Trip

Event Date: 2024-08-02
Faculty Incharge: Ms.Ramandeep Kaur and Mr.Jasdeep Singh

Students of BA (Computer Science), BCA, and BSc Graphics and Web Designing Batch 2024 at the Department of Computational Sciences, MRSPTU Bathinda, enjoyed a one-day trip to Talwandi Sabo (Gurdwara Sahib).

Forest Awareness Camp

Forest Awareness Camp

Event Date: 2024-02-27
Faculty Incharge: Prof. Sanjay Bhatnagar and Dr. Munish Kumar
DIWALI CELEBRATIONS

DIWALI CELEBRATIONS

Event Date: 2023-10-11
Faculty Incharge: Ms. Manjot Rani, Ms. Manmeet Kaur
TAROOF-2023 - FRESHERS PARTY

TAROOF-2023 - FRESHERS PARTY

Event Date: 2023-09-23
Faculty Incharge: Mr. Gurjot Singh, Ms. Manjot Rani, Ms. Manmeet Kaur
TEACHERS DAY CELEBRATIONS

TEACHERS DAY CELEBRATIONS

Event Date: 2023-09-05
Faculty Incharge: Prof. Sanjay Bhatnagar
Student Induction Programme (SIP)

Student Induction Programme (SIP)

Event Date: 2023-08-08
Faculty Incharge: Prof. Sanjay Bhatnagar and Dr. Munish Kumar

Department of Computational Sciences, MRSPTU (Bathinda) hosted a remarkable Student Induction Programme for  Batch 2023.

Shri Sukhmani Sahib Path

Shri Sukhmani Sahib Path

Event Date: 2023-04-13
Faculty Incharge: Prof. Sanjay Bhatnagar and Dr. Munish Kumar
Students participation in Inter College Competition

Students participation in Inter College Competition

Event Date: 2023-04-01
Faculty Incharge: Ms.Veenu Rani & Ms. Palvi Arora

Students of Computational Sciences Department, MRSPTU(Bathinda) , have participated in SSD Carnival, an inter college competition, and got total 10 positions in various activities of the event

SAY YES TO LIFE

SAY YES TO LIFE

Event Date: 2023-03-29
Faculty Incharge: Dr. Mani Bansal, Ms. Rajinder Kaur.

The Department of Computational Sciences of Maharaja Ranjit Singh Punjab Technical University, Bathinda and Department of Computer Sciences and Engineering of Giani Zail Singh Campus College of Engineering and Technology, MRSPTU, Bathinda organized a day time event “SAY YES TO LIFE” on March 29, which concluded at Committee Room, GZSCET.
The event was sponsored by Punjab State Council for Science and Technology for Environment Education Program under Mission LiFE, Govt. of India.

Career Guidance given by Alumni

Career Guidance given by Alumni

Event Date: 2023-03-15
Faculty Incharge: Prof. Sanjay Bhatnagar
INDUSTRIAL VISIT

INDUSTRIAL VISIT

Event Date: 2023-02-15
Faculty Incharge: Mr. Jaswinder Singh ,Ms. Ramandeep Kaur, Ms. Rajinder Kaur

Department of Computational Sciences organised an industrial visit for the students of BCA, MCA at TechMahindra, Rajiv Gandhi Technology Park, Chandigarh.

SCIENCE EXPO 2023

SCIENCE EXPO 2023

Event Date: 2023-02-03
Faculty Incharge: Prof. Sanjay Bhatnagar

Computational Sciences Department at Science Expo, conducted on 3rd February 2023.

VOTERS DAY

VOTERS DAY

Event Date: 2023-01-25
Faculty Incharge: Prof. Sanjay Bhatnagar
TAROOF-2022 - FRESHERS PARTY

TAROOF-2022 - FRESHERS PARTY

Event Date: 2022-11-03
Faculty Incharge: Ms.Ramandeep Kaur & Ms.Arshdeep Kaur
TEACHERS DAY CELEBRATIONS

TEACHERS DAY CELEBRATIONS

Event Date: 2022-09-05
Faculty Incharge: Ms.Veenu Rani and Ms. Palvi Arora
INTERACTION WITH STUDENTS OF GULABGARH SCHOOL

INTERACTION WITH STUDENTS OF GULABGARH SCHOOL

Event Date: 2022-09-05
Faculty Incharge: Prof. Sanjay Bhatnagar

Department of Computational Sciences Extends a warm welcome to the students of Govt. Sr. Sec. School ,Gulabgarh.

STUDENT AWARENESS PROGRAMME

STUDENT AWARENESS PROGRAMME

Event Date: 2022-07-27
Faculty Incharge: Mr. Sukhbir Singh (Asst.Prof ) and Mr. Balwinder Singh

On this occasion, Mr. Sukhbir Singh (Asst.Prof. ) accompanied with Mr.Balwinder Singh shared fundamentals of Computational Sciences programmes taught in the university among the students of senior secondary division in various schools in the Bathinda district.

FAREWELL PARTY 2022

FAREWELL PARTY 2022

Event Date: 2022-06-11
Faculty Incharge: Mr.Asif Khan

"Koh-E-Noor" Farewell party 2022 for BATCH 2019.

CYBER AWARENESS PROGRAMME

CYBER AWARENESS PROGRAMME

Event Date: 2022-05-11
Faculty Incharge: Prof. Sanjay Bhatnagar
LAW AWARENESS PROGRAMME

LAW AWARENESS PROGRAMME

Event Date: 2022-04-06
Faculty Incharge: Prof. Sanjay Bhatnagar and Dr. Munish Kumar
ATHLETIC MEET 2022

ATHLETIC MEET 2022

Event Date: 2022-03-25
Faculty Incharge: Dr. Munish Kumar

Students of BCA-MCA Dual degree 4th semester for winning "Tug of War" game at the athletic event organised by MRSPTU University from 25th March 2022 to 26th March 2022.

SCIENCE & TECH 2ND EXPO

SCIENCE & TECH 2ND EXPO

Event Date: 2022-03-25
Faculty Incharge: Prof. Sanjay Bhatnagar
AAGHAZ-2021 - FRESHERS PARTY

AAGHAZ-2021 - FRESHERS PARTY

Event Date: 2021-12-01
Faculty Incharge: Mr.Asif Khan

AAGHAZ-2021 - FRESHERS PARTY for BCA-MCA /MCA 2021 batch students.
Moments of getting together, knowing one another, creating new friendships. A grand celebration of new beginnings...
WELCOME BCA-MCA /MCA 2021 BATCH STUDENTS

WORKSHOP ON COURSE ATTAINMENT MATRIX

WORKSHOP ON COURSE ATTAINMENT MATRIX

Event Date: 2021-10-22
Faculty Incharge: Dr. Ashish Baldi
SHORT TERM COURSE ON ICT BASED OPEN SOURCE TECHNOLOGIES

SHORT TERM COURSE ON ICT BASED OPEN SOURCE TECHNOLOGIES

Event Date: 2016-08-29
Faculty Incharge: Dr. Munish Kumar

A Short Term course was organized by Computer Applications Department From 29th August 2016 to 2nd Sept 2016 on the topic on “ICT BASED OPEN SOURCE TECHNOLOGIES” at Computer Centre. The course was presented by NITTTR, Chandigarh and was very beneficial for faculty.

WORKSHOP ON CYBER SECURITY

WORKSHOP ON CYBER SECURITY

Event Date: 2016-09-07
Faculty Incharge: Dr. Munish Kumar

The Workshop on “CYBER SECURITY” was organised on  7th Sept 2016  by  Computer Applications Department at Computer Centre. The workshop was conducted by the expert from INFOWIZ.   Students of Computer Applications Department attended the workshop . The workshop was very useful for enhancing the practical knowledge of the students.

TIME TABLE

Session File
No timetable available.

COURSE OFFERED

Sr No. Course Intake Duration
1 M.Sc. (Data Science & Analytics) 30 2 Years
2 B.A. Hons. (Computer Science) 270 seats 4 Years
3 B.Sc. Hons. (Graphics And Web Designing) 60 Seats 4 Years
4 BCA (Hons.) 270 Seats 4 Years
5 MCA 60 Seats 2 years
6 Ph.D - -