Dr. Manisha Kaushal

Designation:

Assistant Professor

Specialization:

Image Processing, Video processing and Soft computing

Email:

manisha.kaushal@thapar.edu

Dr. Manisha Kaushal is currently working as Assistant Professor-II(CSED) at Thapar Institute of Engineering and Technology, Derabassi campus. She obtained her B.Tech. with distinction and M.Tech as topper of regional center of Punjab Technical University, Jalandhar. She received her Phd degree from I.K. GUJRAL Punjab Technical University, Jalandhar in 2017. She is actively working in the area of image processing, machine learning, deep learning and soft computing. She has authored more than 15 research papers in reputed journals and conferences and associated with number of research projects funded from government agencies.

Academic experience – 

• Assistant professor, TIET, Patiala, 30-11-2018 to till date, FT.
• Assistant professor, UIET, Panjab University, Chandigarh, 26-10-2012 to 29-11-2018, FT.
• Assistant professor, CCET, Sector 26, Chandigarh, 06-07-2012 to 25-10-2012, FT.
• Assistant Professor, B.B.S.E.C., Fatehgarh Sahib, 16-08-2011 to 05-07-2012, FT.
• Lecturer, BGIET Sangrur, Punjab, 15-07-2010 to 13-08-2011, FT.
• Lecturer, IET Bhaddal, Punjab, 17-08-2006 to 14-07-2010, FT.

 2.Current membership in professional organizations. - Institution of Engineers (India) [IEI] 

3. Honors and awards
   • Research Award for publishing highest impact factor paper for the year 2017 and 2018 Panjab University, Chandigarh
4. Service activities ( inside and outside of the institution)  Attended “Curriculum Revision Workshop for BE CSE organized by UIET, P.U., Chandigarh, 17th May, 2013.
   • Attended Faculty development Programme on “Achieving Excellence in Technical Education 16, July to 19 July, 2013.

Publications:

SCI:       

1. Manisha Kaushal, Baljit Singh Khehra and Akashdeep Sharma Water cycle algorithm based multi-objective contrast enhancement approach Optic - International Journal for Light and Electron Optics, 140 (762–775), 2017, IF: 2.187.
2. Manisha Kaushal, Baljit Singh Khehra and Akashdeep Sharma, Performance evaluation of fuzzy 2-partition entropy and big bang big crunch optimization based object detection and tracking approach Multidimensional System Signal Processing,29(21), 2017 1-33 Springer, 2017, IF: 2.38.
3. Manisha Kaushal and Baljit Singh Khehra, BBBCO and fuzzy entropy based modified background subtraction algorithm for object detection in videos, Applied Intelligence 47: 1008–1021 Springer, 2017, IF:3.32.
4. Manisha Kaushal, Baljit Singh Khehra and Akashdeep Sharma, Soft Computing based object detection and tracking approaches: State-of-the-Art survey Applied Soft Computing, 423-464 Elsevier, 2018, IF: 5.472.
5. Akhil Kumar, Arvind Kaliaa, Kinshuk Verma Akashdeep Sharma and Manisha Kaushal “Scaling up face masks detection with YOLO on a novel dataset”, Optik, Volume 239, article 166744, August 2021. IF: 2.187
6. Manisha Kaushal, “Rapid -YOLO: A novel YOLO based architecture for shadow detection

                “,Optik- International Journal for Light and Electron, Vol.260,1-10, 2022.           IF:2.443s

7. Akhil Kumar Arvind Kalia Akashdeep Sharma and Manisha Kaushal, “A hybrid tiny YOLO v4-SPP module based improved face mask detection vision system”, Journal of Ambient Intelligence and Humanized Computing, 2021. IF: 7.104.

Patent Publications:

1. Manisha Kaushal, Ankit Goyal, Pranjul Gupta, Shenum Chabra,  Tanishq Mandiratta, Ojas Sharma,Chiranjeev Singh ,2022  “A REAL-TIME  SYSTEM FOR DETECTION  AND RECOGNIZING FACE-MASK OFFENDERS “, 202211003738 A ,Indian Patent Office

 Research project

1. Design and Monitoring and surveillance system for Active fire locations in the state, 5.5 Lacs, Agriculture and Farmers welfare Department, Govt of Haryana, Panchkula Co- PI; Mukesh Kumar, Manisha Kaushal, 2019(Completed).
2. Generative Adversarial Network(GANs) for unmasking blurred and covered faces, 10.61 lacs, Co-PI: Dr. Manisha Kaushal and Dr. Baljit Singh Khera, All India Council of Technical Education, New Delhi, 2020(ongoing)
3. “A Real Time Shadow Detection Approach Hybridizing Deep Neural Networks and imaging Operations”. 3.5 lacs, Seed Money Grant , TIET, Patiala, 2 years.                

Research Guidance: