DR. SHANKAR S AGGARWAL
ASSOCIATE PROFESSOR

Research Publications

• Shambhu, S., Koundal D. and Das P., Deep learning-based computer assisted detection techniques for malaria parasite using blood smear images. International Journal of Advanced Technology and Engineering Exploration. 2023; 10(105):990-1015. DOI:10.19101/IJATEE.2023.10101218.
• Jain, S., Sharma, C., Das, P., Shambhu, S. and Chen, H.Y., 2023. Blockchain and Cryptocurrency: A Bibliometric Analysis. Journal of Advanced Computational Intelligence and Intelligent Informatics, 27(5), pp.822-836.
• Shambhu, S., Koundal, D. and Das, P., 2023, April. Edge-Based Segmentation for Accurate Detection of Malaria Parasites in Microscopic Blood Smear Images: A Novel Approach using FCM and MPP Algorithms. In 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN) (pp. 1-6). IEEE.
• Shambhu, S., Koundal, D., Das, P., Hoang, V.T., Tran-Trung, K. and Turabieh, H., 2022. Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances. Computational Intelligence and Neuroscience, 2022.
• Shambhu, S., Koundal, D., Das, P. and Sharma, C., 2021. Binary classification of covid-19 ct images using cnn: Covid diagnosis using ct. International Journal of E-Health and Medical Communications (IJEHMC), 13(2), pp.1-13.
• Das, P., Jain, S., Shambhu, S., Sharma, C. and Ahuja, S., 2021, December. Prediction of Diabetes Rate Using Data Mining. In 2021 International Conference on Decision Aid Sciences and Application (DASA) (pp. 463-465). IEEE.
• Das, P., Jain, S., Shambhu, S. and Sharma, C., 2022. Analysis and Impact of Climatic Conditions on COVID-19 Using Machine Learning. Machine Learning and Data Science: Fundamentals and Applications, p.135.
• Sharma, C., Shambhu, S., Das, P., Jain, S. and Sakshi, 2021. Features Contributing Towards Heart Disease Prediction Using Machine Learning, CEUR Workshop Proceedings (pp. 84-92), Workshop on Advances in Computational Intelligence at ISIC 2021, February 25-27, 2021, Delhi, India.
• Das, P., Jain, S., Sharma. C., Shambhu, S. and Sakshi, 2021. Prediction of HeartDisease Mortality Rate Using Data Mining, CEUR Workshop Proceedings (pp. 155-163), Workshop on Advances in Computational Intelligence at ISIC 2021, February 25-27, 2021, Delhi, India.
• Shambhu, S. and Koundal, D., 2021. Recent Trends in Image Processing Using Granular Computing. In Advances in Communication and Computational Technology (pp. 469-479). Springer, Singapore. Koundal, D., Kadyan, V., Dutta, P., Anand, V., Shambhu, S. and Gupta, S., 2020.
• Computational techniques in biomedical image analysis: overview. Advances in Computational Techniques for Biomedical Image Analysis, pp.3-31.
• Kumar, M., Shambhu, S. and Sharma, A., 2018. Classification of heart diseases patients using data mining techniques. International journal of research in electronics and computer engineering, 6(3), pp.1495-1499.
• Kumar, M., Shambhu, S. and Aggarwal, P., 2016. Recognition of slow learners using classification data mining techniques. Imperial journal of interdisciplinary research, 2(12), pp.741-747.
• Shambhu, S. and Rinku., Advance applications of Artificial Intelligence Technologies in various Business Processes, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) – EFES April 2015.

BOOK CHAPTER PUBLISHED

• Das, P., Jain, S., Shambhu, S. and Sharma, C., 2022. Analysis and Impact of Climatic Conditions on COVID-19 Using Machine Learning. Machine Learning and Data Science: Fundamentals and Applications, p.135.
• Koundal, D., Kadyan, V., Dutta, P., Anand, V., Shambhu, S. and Gupta, S., 2020. Computational techniques in biomedical image analysis: overview. Advances in Computational Techniques for Biomedical Image Analysis, pp.3-31.

TRAINING PROGRAMS/WORKSHOPS/FDPs ATTENDED

• Attended one-week Faculty Development Program on “Deep Learning” from September 11th to September 15th, 2023. The program was conducted by the National Institute of Technical Teachers Training & Research (NITTTR), Chandigarh, and it was approved by the All India Council for Technical Education (AICTE).
• Attended one-week Faculty Development Program on “Open Source Tools for Research” from May 15th to May 19th, 2023. The program was conducted by the
  National Institute of Technical Teachers Training & Research (NITTTR), Chandigarh, and it was approved by the All India Council for Technical Education
  (AICTE).
• Attended 5 days Faculty Development Program on “Applications of Artificial Intelligence (AI) in traditional engineering practices” organized by Department of
  Civil Engineering, Chitkara University, Punjab from June 5 to June 9 2023.
• Attended 5 days Faculty Development Program on “Applications of Artificial Intelligence (AI) in traditional engineering practices” organized by Department of
  Civil Engineering, Chitkara University, Punjab from June 5 to June 9 2023.
• Attended a one-week Faculty Development Program on Open Source Tools for Research from May 15th to May 19th, 2023. The program was conducted by the
  National Institute of Technical Teachers Training & Research, Chandigarh, and it was approved by the All India Council for Technical Education (AICTE).
• Attended FDP on “Magical Shift Towards Cloud Computing” Organized by Department of Computer Science & Engineering, Chitkara University, Punjab (12th
  -16th October 2020).
• Attended 3-Day virtual Faculty Development Program on “ANN & Deep Learning” Organized by Department of Computer Science and Engineering, Matrusri Engineering College, Hyderabad, Telangana (14th – 17th August 2020).
• Attended 5 days Faculty Development Program on “Scilab” conducted by Department of Electronics and Communication Engineering, IIT Bombay (25th – 29th June, 2020).
• Attended FDP on “Machine learning using Python” conducted by ECIT , IIT Roorkee (20th – 29th April 2020).
• Attended FDP “Block Chain Technology” conducted by ECIT , IIT Roorkee (9th -17th April 2020).

FIELD OF SPECIALIZATION

• C Programming, C++, Java, Python, . Net, Data Structures,  Machine Learning, Deep Learning

• Ph.D. in Computer Science and Engineering from Chitkara University Himachal Pradesh in 2023.
• Master of Computer Applications (MCA) from Kurukshetra University, Kurukshetra with First Division in 2009.
• M.Sc. Computer Science (SW) from Kurukshetra University, Kurukshetra with First Division in 2008.
• Graduation from Kurukshetra University, Kurukshetra with First Division in 2006.
• Sr. Secondary from Board of School Education Haryana, Bhiwani with First Division in 2003.
• Secondary from Board of School Education Haryana, Bhiwani in 2001.

12 Years Teaching

1.5 Years Industry Experience