2024

AJ Joseph, P Dwivedi, J Joseph, S Francis, PN Pournami, PB Jayaraj, .., Prior-guided generative adversarial network for mammogram synthesis, Biomedical Signal Processing and Control 87, 105456

VA Jisna, AP Ajay, PB Jayaraj, Using Attention-UNet Models to Predict Protein Contact Maps, Journal of Computational Biology 31 (7), 691-702

H Jinka, J Shaji, S John, SR Menon, A Pradeep, PB Jayaraj, PN Pournami, ..., SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections using attention-enabled residual U-Net, Asian Conference on Machine Learning, 598-613

2023

S Sunny, PB Prakash, G Gopakumar, PB Jayaraj, DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network, The Protein Journal 42 (4), 276-287

S Francis, PB Jayaraj, PN Pournami, N Puzhakkal, ContourGAN: Auto‐contouring of organs at risk in abdomen computed tomography images using generative adversarial network, International Journal of Imaging Systems and Technology 33 (5), 1494-1504

MB Bijoy, BP Pebbeti, AS Manoj, SA Fathaah, A Raut, PN Pournami, ..., Deep Cleaner—A Few Shot Image Dataset Cleaner Using Supervised Contrastive Learning, IEEE Access 11, 18727-18738

S Sunny, PB Jayaraj, ResDock: Protein-Protein Docking Using Shape Complementarity of Surface Residue, Authorea Preprints

D Rao, PB Jayaraj, PN Pournami, Near-Infrared Image Colorization Using Unsupervised Contrastive Learnin, International Conference on Computer Vision and Image Processing, 50-61

A Chand, AM NP, PN Pournami, PB Jayaraj, BCDNet: GoogLeNet based Bladder Cancer Detection model from Urinary Cytological Images, 2023 International Conference on Computer, Electronics & Electrical …

AM NP, PN Pournami, PB Jayaraj, An Inception based Urothelial Cell Classification Network for the detection of Bladder Carcinoma from Urine Cytology Microscopic Images, 2023 International Conference on Control, Communication and Computing (ICCC …

S Shaheer, PB Jayaraj, Distributed H∞ Method Design and Operation using Dis-tributed Computing, ITM Web of Conferences 54, 02003

S Francis, CA Minino, PN Pournami, N Puzhakkal, PB Jayaraj, Self-supervised approach for organs at risk segmentation of abdominal CT images, ITM Web of Conferences 54, 01003

2022

S Sunny, PB Jayaraj, Protein–protein docking: Past, present, and future, The protein journal 41 (1), 1-26

S Francis, PB Jayaraj, PN Pournami, M Thomas, AT Jose, AJ Binu, .., ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images, Physical and Engineering Sciences in Medicine 45 (1), 189-203

RR RS, R Rohit, MS Shahreyar, A Raut, PN Pournami, S Kalady, ..., DeepNR: An adaptive deep reinforcement learning based NoC routing algorithm, Microprocessors and Microsystems 90, 104485

PB Jayaraj, S Sanjay, K Raja, G Gopakumar, UC Jaleel, Ligand based virtual screening using self-organizing maps, The Protein Journal, 1-11

MB Bijoy, SM Akondi, S Abdul Fathaah, A Raut, PN Pournami, PB Jayaraj, Cervix type detection using a self‐supervision boosted object detection technique, International Journal of Imaging Systems and Technology 32 (5), 1615-1630

VA Jisna, PB Jayaraj, An end-to-end deep learning pipeline for assigning secondary structure in proteins, Journal of Computational Biophysics and Chemistry 21 (03), 335-348

J Joseph, R Prasanth, SA Maret, PN Pournami, PB Jayaraj, N Puzhakkal, CT Image Synthesis from MR Image Using Edge-Aware Generative Adversarial Network, International Conference on Computer Vision and Image Processing, 141-153

S Sunny, PB Prakash, G Gopakumar, PB Jayaraj, Deepbindppi: epitope-paratope prediction using attention based graph convolutional network

J Joseph, PN Pournami, PB Jayaraj, Supervised fan beam computed tomography image synthesis using 3D CycleGAN, 2022 IEEE International Conference on Signal Processing, Informatics …

VV Nair, SP Pradeep, VS Nair, PN Pournami, G Gopakumar, PB Jayaraj, Deep Sequence Models for Ligand-Based Virtual Screening, Journal of Computational Biophysics and Chemistry 21 (02), 207-217

S Sunny, PB Jayaraj, A Geometric Complementarity-Based Tool for Protein–Protein Docking, Journal of Computational Biophysics and Chemistry 21 (01), 35-46

S Francis, H Bagaria, PB Jayaraj, PN Pournami, N Puzhakkal, Auto Contouring of OAR in Pelvic CT Images Using an Encoder-Decoder Based Deep Residual Network, 2022 IEEE International Conference on Distributed Computing and Electrical …

2021

VA Jisna, PB Jayaraj, Protein structure prediction: conventional and deep learning perspectives, The protein journal 40 (4), 522-544

S Sunny, PB Jayaraj, Fpdock: Protein–protein docking using flower pollination algorithm, Computational Biology and Chemistry 93, 107518

S Francis, D Suresh, S Nath, SL DR, PB Jayaraj, N Puzhakkal, ..., Monte Carlo Simulation of Linear Accelerator for Dosimetry Analysis, 2021 6th International Conference for Convergence in Technology (I2CT), 1-7

PB Jayaraj, KM Mithun, G Gopakumar, UCA Jaleel, A GPU based virtual screening tool using SO, International Journal of Computational Biology and Drug Design 14 (1), 64-80

P Limna Das, AS Manoj, S Sharma, PB Jayaraj, Early Detection of COVID-19 from CT Scans Using Deep Learning Techniques, Advances in Computing and Network Communications: Proceedings of CoCoNet …

J Antony, A Penikalapati, JVK Reddy, PN Pournami, PB Jayaraj, Towards Protein Tertiary Structure Prediction Using LSTM/BLSTM, Advances in Computing and Network Communications: Proceedings of CoCoNet …

Antony, J. V., MYJPHPB.  2021.  Assigning secondary structure in proteins using AI. Journal of Molecular Modeling. 27(9):1-13.

Sunny, S, B JP.  2021.  A Geometric Complementarity-Based Tool for Protein–Protein Docking.. " Journal of Computational Biophysics and Chemistry . :2250003.

Sunny, S., JPB.  2021.  Protein–Protein Docking: Past, Present, and Future. The protein journal. :1-26.

2020

Limnadas P, Jayaraj P B, et al.  2020.  Early Detection of Covid-19 on CT Scans Using Deep Learning Techniques, Oct 14. in Fourth International Conference on Computing and Network Communications (CoCoNet'20), India. , Vellure, India

K Avinash, MB Bijoy, PB Jayaraj, Early detection of breast cancer using support vector machine with sequential minimal optimization, Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018 …

MB Bijoy, A Ansal Muhammed, PB Jayaraj, Segmentation based preprocessing techniques for predicting the cervix type using neural networks, Computational Vision and Bio-Inspired Computing: ICCVBIC 2019, 717-726

Jayaraj, et al.  2020.  Towards Protein Tertiary Structure Prediction using LSTM/BLSTM), Oct 14. in Fourth International Conference on Computing and Network Communications (CoCoNet'20), India . , Vellure, India: Springer

P. B Jayaraj, K Mithun, GJUCG.  2020.  A GPU based Virtual Screening Tool Using SOM. International Journal of Computational Biology and Drug Design (IJCBDD), Indersciene.

2019

Jayaraj, SS&, et al.  2019.  An Improved Protein-Protein Docking Technique Using Multilevel Scoring Function, Oct 20. IEEE Region 10 Conference (TENCON), Kochi, India, 2019. , Kochi

and P.B, BJMB, et al.  2019.  Segmentation Based Preprocessing Techniques for Predicting the Cervix Type Using Neural Networks, Nov 9. Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing.

and B, RRJP, et al.  2019.  Odd-Even Based Adaptive Two-way Routing in Mesh NoCs for Hotspot Mitigation, January 5. In International Conference on Distributed Computing and Net-working (ICDCN ’19). , IISc, Bangalore, India.

M. B Bijoy, J& PB, et al.  2019.  Detecting Cervix Type Using Deep Learning and GPU, Dec 9. 6th IEEE Region 10 Humanitarian Technology Conference 2018. , SriLanka

Samyak, J&.  2019.  Ligand based Virtual Screening using SVM on GPU. Computational Biology and Chemistry, Elsevier. 83(83):107142.

2018

Avinash kumar, J& PB, et al.  2018.  Early Detection of breast cancer using SVM with SMO algorithm, December 22. 3rd International Conference on Advanced Computing and Intelligent Engineering, Springer. , Bubhaneswar, India

Jisna Antony, J& PB, et al.  2018.  Towards Building a Coordinate Clustered Library for Template-Based Modeling of Protein Structures, Dec 8. IEEE Recent Advances in Intelligent Computational Systems (RAICS).

2016

B, JP, K R, G G.  2016.  A Data parallel maximum common subgraph algorithm for Drug discovery applications, 23 MAY. IPDPS 2016. , Hyatt Hotel, Chicago, USAIPDPS 2016.pdf

Jayaraj, PB.  2016.  GPU BASED VIRTUAL SCREENING TECHNIQUES FOR FASTER DRUG DISCOVERY. , Calicut, Kerala, India: NIT Calicut

B, JP, mathias A, Nufail M, Gopakumar G, Jaleel UC.  2016.  GPURFSCREEN: A GPU based virtual screening tool using Random Forest Classifier. Journal of Cheminformatics . 8(12):1-13.gpurfscreen_published_copy.pdf

2014

Jayaraj, PB, Shijith T, Gopakumar G.  2014.  Finding hub proteins and their interactions in a Protein-Protein Interaction Network Using GPU, 28 July. International Conference on Emerging Trends in Drug Discovery - AICADD 2014, Amritha, Coimbatore. , Coimbatore, TN, Indiashijith.pdf

Jayaraj, PB, 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, Indiapower-aware_governor.pdf

Jayaraj, PB, Mohan S.  2014.  Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU. International Journal of Computer-Aided Technologies (IJCAx). 1(1):9-20.shyam_paper.pdf

2013

Jayaraj, PB, Aravind AN, Alex AT.  2013.  Fast Parallel Arithmetic Coding on GPU, 5 June. National Conference on Emerging Trends in Computing 2013 (NCETIC 13). , GEC TCR, Kerala, Indiaaravind.doc

2012

A Joseph, JS Babu, P Jayaraj, B KB, Objective quality measures in binarization, International Journal of Computer Science and Information Technologies 3 (4 …

2006

Jayaraj, PB, Gopalakrishnan R, V J.  2006.  Effective Performance Analysis and Visualization on Embedded Linux, 13 Nov 2012. IASTED. , DALLASiasted_linux_514-077.pdf

Embedded Sysetms, Deep Learning, GPU Computing, Operating Systems,  IoT, Computer Hardware and Assembly Language Porgramming.

Parallel Computing, Computer Vision, HealthCare, Medical informtics, Artificial Intellgence/Deep Learning, Natural Language Processing

CS 3003 Opeating Systems

Semester : Monsoon

Offered : 2016

Hardware Laboratary

Semester : Winter

Offered : 2015

CS 2004 Computer Organization

Semester : Winter

Offered : 2015

Operating Systems

Semester :  Monsoon

Offered : 2013

CSU 397 Operating System Lab

Semester : Monsoon

Offered : 2012

CS 2004 Computer Organization

Semester : Winter

Offered : 2012

1. Faculty-In-Charge Central Computer Centre, NIT Calicut

2. Faculty-In-Charge Computer Science & Engineering Association (CSEA)

3.Faculty-In-Charge, AI Club

4. Faculty-In-Charge Network System Lab, CSED, NITC

5. Faculty Advisor - 2020 Batch B. Tech CSE students

6. Secretary, Staff Club, NIT Calicut

7. Warden, C Hostel

8. Purchase Coordinating member

• Have Organized an FDP on Geometry, Imaging and Parallel Computing for Cancer treatment (GIPCAN 2019) with Radiotherapy department of MVR Cancer Centre, Calicut. June 10 – 15, 2019

• Have organized a 6 days GIAN workshop on High Performance Computing Concepts and Practice at NIT Calicut with a Foreign faculty Dr. Ganesh Gopalkrishnan, Prof. University of Utah from October 8 to 13.

• Had organized a 3 days Faculty Development Programme on High Performance Computing – Latest trends and Applications on Mar 9 -11, 2017 at NITC

• Attended 4 day workshop on Drug Discovery and HPC at SCFBio, IIT Delhi in August , 2017

• Attended an International spring school on High Performance Computing (HighPer 2018) at San Sebastian, Spain inl 2018

• Presented a Paper in a workshop of IEEE IPDPS 2016 Conference @ Chicago, USA

• Attended GPU Technology Conference GTCx 2016 at Powai, Mumbai

• Attended the conference Hi-PC 2015, Bangalore, India

• Two days national workshop on “Programming with Intel Phi Coprocessors” from 17th to 18th July 2015 at IIT Madras.

• One Week training program on Parallel Computing Architecture and Applications on Multi-Core to Many-Core Processing Systems”, June 16 - 20, 2014 at IIT Bombay.

• One Week training program on Computational Biology, Bioinformatics and Their Application to Healthcare from October 28th 2013 to November 1st 2013, at Department of Computer Science and Engineering, IIT Kharagpur

• Two Weeks training program on “THINK PARALLEL - parallel programming for scientists and engineers” from June 10th to June 20th, 2013 at CDAC Bangalore

• One week project internship program on Drug discovery and parallelism (July 2 - 7, 2013) under Prof. Naga Suma Chandra at Biochemistry department, IISc, Bangalore.

• Two days national conference on parallel computing technologies - PARCOMPTECH India from Feb 20 to 21, 2013 at IISc Bangalore.

• Two Week training program on Linux system and multi-core programming from 21st Nov 2011 to 2nd Dec 2011 at CDAC Hyderabad.

• ISTE Workshop on Database management Systems from 13th December to 23rd December 2010 at NIT Calicut. Organized by MHRD NMEICT through various remote centers by IIT Bombay

• Obtained Bravo Award for work Excellence from IBM PVT LTD  for Server Migration

• Published a journal paper in Journal of Cheminformatics, Springer (Impact factor 4)

• Presented a Paper in a workshop of IEEE conference IPDPS 2016, Chicago, USA

• Purchased a 20 TerraFlops CPU-GPU HPC Cluster Machine for CCC, NITC

• Attended various training programs at IITs

• MPI, CUDA C, Linux Kernel PGMing

1. Research Intern @ Philips Electronics (PIC, Ulsoor Lake, B'lore) June 2005 - June 2006 : Linux TV

2. Software Engineer @ IBM PVT LTD (SA2, Bennarghatta road, B'lore) Aug 2006 - Dec 2007 : Unix, SQL, PLSQL

3. Software Engineer @ Motorolla PVT LTD (BTP, B'lore) Dec 2007 - Dec 2008 : Multimedia, Linux, C

4. Senior Lecturer @ IES Engg. College (Chittilapilly, TCR) Dec 2008 - May 2010 - OS, Embedded System Faculty

5. Assistant Professor @ NIT Calicut (Calicut, Kerala) May 2010 - till date : GPU Computing, Embedded Sysetems, Artificial Intelligence, Computer Hardware, Operating Systems

CPU - GPU Hetrogenous computing

Tue, 03/27/2012 - 14:13

GPUs have evolved to the point where many real-world applications are easily implemented on them and run significantly faster than on multi-core systems. Future computing architectures will be hybrid systems with parallel-core GPUs working in tandem with multi-core CPUs

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