Dr. Anju Pratap

Designation: Professor
Education:  M. Tech, Ph.D. (Computer Science and Engineering)

Professional Experience
Teaching : 13 years

Non Teaching: 3years

Postdoctoral Research: 1.3years

Specialization
UG  : Computer Science and Engineering
PG  : Computer Science and Engineering

PhD: Computer Science and Engineering

Publication  (latest come first)
International Journals

  1.  Pratap, A., Hamada, M. Screening of Key Transcripts from Expression Data Using Applied Artificial Intelligence for Cancer Prediction. Int J Comput Intell Syst 17, 252 (2024). https://doi.org/10.1007/s44196-024-00657-8.
  2. Jouhar, J., Pratap, A., Tijo, N. and Mony, M., 2024. Fake News Detection using Python and Machine Learning. Procedia Computer Science, 233, pp.763-771.
  3. Thomas ES and Pratap A, Machine Learning approaches to Nurses Decision Support System, IJRTE,7(6S),928-931, 2019.
  4. Joseph Jose, Hima Jayachandran, Anna Saji George, Jiya.S and Anju Pratap, ,HARITHAM: A PLANT DISEASE IDENTIFICATION SYSTEM,

International Journal of Information Systems and Computer Sciences (IJISCS), Volume 8 No.2, 2019.

  1. Kanimozhiselvi, CS & Anju Pratap 2016, ‘Possibilistic LVQ neural network- An application to childhood autism grading’, Neural Network World, vol. 26, no.3,pp. 253-269. DOI:10.14311/NNW.2016.26.014.
  2. Anju Pratap & Kanimozhiselvi, CS 2014, ‘Predictive assessment of autism using unsupervised machine learning models’, International Journal of Advanced Intelligence Paradigms, vol. 6, no. 2, pp.113-121,

DOI: 10.1504/IJAIP.2014.062174.

  1. Anju Pratap, Kanimozhiselvi CS, Pramod KV & Vijayakumar, R 2014, ‘Soft computing models for the predictive grading of childhood autism-A Comparative study’, International Journal of Soft Computing and Engineering, vol. 4, no. 3 , pp.64-67.
  2. Anju Pratap, Kanimozhiselvi, CS, Pramod, KV & Vijayakumar, R 2014, ‘Functional Fuzzy based Autism Assessment Support System’, International Journal of Engineering and Technology, vol.6, no.5, pp.2105-2114.
  3. Anju Pratap 2012, ‘Agent Based Multi Expert Synthesis System for the diagnosis of Communicative and Cognitive Disorders in Children’, Computer and Communication, Narosa Publishing House, ISBN: 978- 81-8487-178-4, pp .161-166

International Conference

  1.  Anju Pratap, Nithin Prince John, Greshma Johnson, Hanna Susan George,

S. Devika, Anjal A. Jose, Kesia Sam, San Jos Varghese, Stevin Mathew Suban, and Salves Varghese. “A Study on IoT-Based Health Monitoring Systems for Nurse Assistance.” In ICT Systems and Sustainability, pp. 467-471. Springer, Singapore, 2022. https://doi.org/10.1007/978-981-16-5987-4_47

  1. Suresh, Anandhu, Arathi Vinayachandran, Chinju Philip, Jithu George Velloor, and Anju Pratap. “Fresko Pisces: Fish Freshness Identification Using Deep Learning.” In Innovative Data Communication Technologies and Application, pp. 843-856. Springer, Singapore, 2021.
  2. Babu, Anu Maria, and Anju Pratap. “Credit Card Fraud Detection Using Deep Learning.” In 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 32-36. IEEE, 2020.
  3. Pratap,Anju and Maria Joshy, Aiswarya and Mathew, Manumol and John, Elizebeth and Treesa James, Jasmine, IoT based design for a smart plastic waste collection system. In Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM- 2019), Amity University Rajasthan, Jaipur, India, February 26 – 28, 2019. Available at Elsevier SSRN: https://ssrn.com/abstract=3356267, pp.1226- 1229.
  4. Pratap, Anju and Sebastian, Rony and Joseph, Namitha and Eapen, Reenu K and Thomas, Shane, Soil Fertility Analysis and Fertilizer Recommendation

System (September 2, 2019). International Conference on Advanced Computing Methodologies, Jaipur, Rajasthan, Available at Elsevier SSRN: https://ssrn.com/abstract=3446609or http://dx.doi.org/10.2139/ssrn.3446609

  1. Elizabeth Sony Thomas & Anju Pratap, A review on decision support methods for hospital based nurse practitioners, ICITST 2018, Sarabhai Institute of Technology, November 2018.
  2. Anju Pratap & Michiaki Hamada, SCAST- A cost effective diagnostic framework based on cancer associated significant transcript screening, Asia Pacific Bioinformatics Conference, Keio University, Yokohama, Japan, January 15-17, 2018.
  3. Anju Pratap, Kanimozhiselvi, CS, Vijayakumar Pramod, KV, Parallel Neural Fuzzy-Based Joint Classifier Model for Grading Autistic Disorder, Soft Computing Applications, Advances in Intelligent Systems and Computing,356, , pp. 13-26, Springer International Publishing, Switzerland, 2016. DOI 10.1007/978-3-319-18296-4_2.
  4. Anju Pratap & Kanimozhiselvi CS 2012, ‘Application of Naïve Bayes dichotomizer supported with expected risk and discriminant functions in clinical decisions-A Case Study’, Fourth International Conference on Advanced Computing , IEEE, pp. 1-4. DOI:10.1109/ICoAC.2012.6416811.

Participations

Workshop/Seminars Attended

  1.   5-day National Workshop on Exploring Machine Learning and Deep Learning at St.Berchmans college Changanacherry in association with College Development Council, Mahatma Gandhi Kottayam, From Dec 3-7, 2024
  2. 8-week internship from Academy of Skill Development in the area of “”DATA SCIENCE, AI, MACHINE LEARNING USING PYTHON ” from May-July 2024.
  3. 1-day workshop on “AI for Reduced Order Modeling in Complex Engineering Systems using MATLAB and Simulink during IEEE RASSE conducted by Saintgits College of Engineering from 8-11 2023.
  4.  5-day Train-The-Trainer workshop on Internet of Things (IoT) held at Intel Unnati Lab of Saintgits College of Engineering from 24-28 July 2023.
  5. 7-day National Level Faculty Development Programme on “Innovative Teaching Strategies and Tools in the Digital Age” conducted by IIC GGI Ludhiana, Punjab from 24-30 March 2023.    
  6.  3-day Intel Unnati workshop conducted by IISC Bangalore from 5-7 December 2022.
  7. One Week Faculty Development Programme on “Management of Software Systems” organized bt CET, Trivandrum from 22-27 December 2021.

As resource Person

  1. In 5-day Faculty Development Programme on “Navigating the AI Landscape” along with industrial experts from Tata Consultancy Services, conducted by Saintgits College of Engineering from24-28 October 2024   
  2.  In role of Faculty mentor in Intel Unnati Industrial Training 2024 from May-July 2024.   
  3. In 3-day Faculty Development Programme on “Research Jurisdiction and Methodological Retreat” conducted by Carmel College of Engineering and Technology, Punnapra, Alappuzha from 10-12 July 2024.   
  4. In the Expert Judging panel committee of Final Round Evaluation of streams during SRISTI 2024 and SHRISTI 2023.
  5. To chair a session in Fourth ICICV 2024 organized by Manipal University-Jaipur from 10-11 April 2024
  6. In 2-day workshop on “ Artificial Intelligence and Machine Learning” at Sahrdaya College of Engineering & technology from 13-14 February 2024.
  7. To chair a session in Fourth ICICV 2024 organized by Manipal University-Jaipur
  8. In role of Faculty mentor in Intel Unnati Industrial Training 2024 from May-July 2023.
  9. For the Skill Course namely “ Artificial Intelligence & Machine Learning” [720 hours, NSQF Level-5] jointly developed by ASAP and IIT Palakkad for certification as AI and ML Developer, during 1 year from 2021-22.
  10. In the esteemed judging panel of the CSI-InApp International Student Project Competition for the continuous 3 years, 2021,2022 and 2023.
  11. In  the esteemed judging panel of Darsana Ignite Project awards  for the continuous 2 years 2022, 2023-Innovation and Entrepreneurship challenges for students.

Events Organized

1.Special Session during IEEE RASSE 2023 held in Saintgits College of Engineering during November 2024.

2. Organized the Kerala State level Student Convention funded by the Computer Society of India in December 2020 at Saintgits College of Engineering, as Chief Co-ordinator

3. Organized a National level project competition named “Srishti” in January 2016 as Chief Co-ordinator.

Membership

  •    Computer Society of India
  •    Indian Society of Technical Education (ISTE).
  • International Association for ENGineers(IAENG)
  • Society for Research in Child Development (SRCD)
  • Soft Computing Research Society (SCRS)

Research Interest

  •  Machine Learning  
  •  Health Informatics   

R & D Projects

  1.  Sanctioned research seed money of 50000/- from Centre for Engineering, Research, and Development board of Kerala for the project Titled” Nightingale: A technology enabled portable assist system for nurses in Kerala

Consultancy

  1. Delivering NSQF Level 4 skilling, training, assessment, and question bank preparation for Advanced Skill Acquisition Programme, Government of Kerala, focusing on a 1-year course in Artificial Intelligence and Machine Learning from 2021-22
  2. As a one among the Project Supervisors in a volunteer capacity, I oversaw the development of “Covid Mitram,” a web application for the Urban Affairs department that manages patient data in Covid First-Line Treatment Centres in the Kottayam district during the Covid-19 pandemic from March-October 2020

Achievement

  1. Best Paper Award: For the presenting a Paper Titled “ Data Visualization of Accident Blackspots on Indian Roads- A case study of Bangalore and Chennai” , during ICSCPS 2024 organised by CHRIST University, Delhi NCR held on 13-14 September 2024
  2.    PATENT :Title of the invention: VOICE CONTROL ENABLED BIKE FOR MOBILITY DISABLED PEOPLE. The Patent Office Journal No. 51/2023 Dated 22/12/2023
  3. Innovative Teaching Faculty Runner Up Award 2021: Recognized by the Project Management Institute (PMI India) for developing an innovative method to guide software projects, enhancing successful funding applications and start-ups

Contact Details

Ph 91-9400427355 

Email anju.pratap@saintgits.org

Linkedin: https://www.linkedin.com/in/dr-anju-pratap-52046251/