About Me

Dr. Jayaraj P B Assistant Professor
Department of Computer Science and Engineering
National Institute of Technology Calicut
Kozhikode, Kerala

Experience: Assistant Professor CSED NIT Calicut (2010 May- Till Date) Teaching Embedded System, Computer Organization, Computer Architecture, Deep Learning
Senior Lecturer, IES College of Engineering, Thrissur (2009 Jan-2010 May) Teaching Operating System, Embedded System, Microprocessors & C Programming
Software Engineer, Motorola Pvt. Ltd., (2007 Dec- 2008 Dec) Mobile Multimedia Engine Developer (Linux, C)
Software Engineer, IBM Global PVT Ltd(2006 Aug- 2007 Dec), Telecom Application developer (Unix/AIX, PLSQL, Oracle forms)
Project Trainee, Philips Electronics Pvt. Ltd. (2005 July- 2006 July), Embedded TV Board (a porting on Viper2 Board)


Journals:
Jisna, V.A. and Jayaraj, P.B., 2021. Assigning Secondary Structure in Proteins using AI, Journal of Molecular Modelling, Springer [Accepted on June 16]
Sunny, S. and Jayaraj, P.B., 2021. FPDock: Protein–protein docking using flower pollination algorithm. Computational Biology and Chemistry, 93, p.107518.
Jisna, V.A. and Jayaraj, P.B., 2021. Protein Structure Prediction: Conventional and Deep Learning Perspectives. The Protein Journal, pp.1-23.
Jayaraj, P.B., Mithun, K.M., Gopakumar, G. and Jaleel, U.A., 2021. A GPU based virtual screening tool using SOM. International Journal of Computational Biology and Drug Design, 14(1), pp.64-80.
Jayaraj, P.B. and Jain, S., 2019. Ligand based virtual screening using SVM on GPU. Computational biology and chemistry, 83, p.107143.
Jayaraj, P.B., Ajay, M.K., Nufail, M., Gopakumar, G. and Jaleel, U.A., 2016. GPURFSCREEN: a GPU based virtual screening tool using random forest classifier. Journal of cheminformatics, 8(1), pp.1-10.


Conferences: Francis, S., Suresh, D., Nath, S., DR, S.L., Jayaraj, P.B., Puzhakkal, N. and Pournami, P.N., 2021, April. Monte Carlo Simulation of Linear Accelerator for Dosimetry Analysis. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-7). IEEE.
Das, P. Limna, et al. "Early Detection of COVID-19 from CT Scans Using Deep Learning Techniques." Advances in Computing and Network Communications. Springer, Singapore, 2021. 51-64.
Antony, J., Penikalapati, A., Reddy, J.V.K., Pournami, P.N. and Jayaraj, P.B., 2021. Towards Protein Tertiary Structure Prediction Using LSTM/BLSTM. In Advances in Computing and Network Communications (pp. 65-77). Springer, Singapore.
Sunny, S., Kataria, D. and Jayaraj, P.B., 2019, October. An Improved Protein-Protein Docking Technique Using Multilevel Scoring Function. In TENCON 2019-2019 IEEE Region 10 Conference (TENCON) (pp. 751-756). IEEE.
Reshma Raj R. S., Gayathri C., Saidalavi Kalady, and Jayaraj P. B., 2019, Odd-Even Based Adaptive Two-way Routing in Mesh NoCs for Hotspot Mitigation, In International Conference on Distributed Computing and Net-working (ICDCN ’19), January 4–7, 2019, Bangalore, India.ACM, New York,NY, USA, 5 pages.
Bijoy, M.B., Muhammed, A.A. and Jayaraj, P.B., 2019, September. Segmentation Based Preprocessing Techniques for Predicting the Cervix Type Using Neural Networks. In International Conference On Computational Vision and Bio Inspired Computing (pp. 717-726). Springer, Cham.
Avinash kumar, M. B Bijoy, P. B Jayaraj, Early Detection of breast cancer using SVM with SMO algorithm, 3rd International Conference on Advanced Computing and Intelligent Engineering, Springer, Bubhaneswar, India, 22-24 December, 2018
Jisna Antony, V. Sreenivas, P. B. Jayaraj, 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 6-8 Dec. 2018, DOI:10.1109/RAICS.2018.8635068, Thiruvananthapuram, India.
M. B Bijoy, Vaibhav Silimkar, P. B Jayaraj, Detecting Cervix Type Using Deep Learning and GPU, 6th IEEE Region 10 Humanitarian Technology Conference 2018, IEEE Sri Lanka Section, 6th – 8th December 2018, Colombo, Sri Lanka
P. B. Jayaraj, K Rahamathulla and G Gopakumar, “A Data parallel maximum common subgraph algorithm for Drug discovery applications”, IEEE International Parallel and Distributed Processing Symposium Workshops, Chicago, USA, May 23-27, 2016
Jayaraj, P. B., Ranjith Gopalakrishnan, Vikas Jain, and Philips Innovation Campus. "Effective Performance Analysis And Visualization On Embedded Linux." Software Engineering Applications (2006): 27-29, DALLAS, USA
Jayaraj P. B., Lijin C., 2014. Design and Implementation of a New CPU Governor - Power Aware Governor, 16 July, International Conference on Advances in Computing, Communication and Information Science (ACCIS-’14), TKMCE, Kollam, Kerala, India.
Jayaraj P. B., Aravind A. N., Alex A . T., 2013, Fast Parallel Arithmetic Coding on GPU, 5 June. National Conference on Emerging Trends in Computing 2013 (NCETIC 13)., GEC TCR, Kerala, India


Students Guiding PhD:
Reshma Raj p170017cs [Full time, shared guiding] – Development of Efficient Routing Techniques in NoC based on Reinforcement Learning techniques
Bijoy M B p170059cs [ Part time] – Designing efficient AI based algorithms for primary screening the cervical cancer disease
Jisna V A p170107cs [Full time, Solo guiding] – Design of efficient Deep Learning techniques for protein structure prediction
Sharon Sunny p180018cs [Full time, Solo guiding] – Development of AI inspired Protein Docking algorithms
Seenia Francis p190029cs [Full time, shared guiding] – Design of Deep Learning assisted Auto contouring station for OAR segmentation in CT images
Jiffy Joseph p190037cs [Full Time, Shared, JRF] – Deep Learning based Image synthesising algorithms for helping in radiotherapy workflow
Arathy Menon [Full Time, Shared] – Deep Learning based cleaning of Under Water images

MTech:
1. Rohit - Cervical Cancer Detection Using Deep Learning Based Semantic Segmentation
2. Devesh Rao- Image Synthesis using Generative Adversarial Networks
3. Ebin J - Visual Odometry using Deep Learning, for space robotic applications
BTech:
1. Mukund, Sebastian Jose, Sidharth – GAN based autocontouring of OARs in Pelvic CT images
2. Chacko Alan Shibu et al.– GAN based Protein Docking technique
3. Tarun Kansal and et al. – GAN based protein contact map prediction
4. Sanaul Malik - Design of H infinity filters on Distributed computing

Home