DEPARTMENTS
Jayaraj P. B.
Jayaraj P. B.

Associate Professor

Office Address:

Contact no:

+91 (495) 2286813

Home Address:

  • Ph. D in parallel computing (GPU Comping & AI for CADD) NITC

  • M.Tech (Computer Science) CUSAT

  • B. Tech (Computer Science) - Calicut University

  • Educational Qualifications

    • Ph. D in parallel computing (GPU Comping & AI for CADD) NITC

    • M.Tech (Computer Science) CUSAT

    • B. Tech (Computer Science) - Calicut University

    Journals

    2022

    MB, B, Jayaraj PB.  2022.  Cervix type detection using a self‐supervision boosted object detection technique. International Journal of Imaging Systems and Technology. :1-10.

    Viswajit Vinod Nair, Jayaraj, et al.  2022.  Deep Sequence Models for Ligand-Based Virtual Screening. Journal of Computational Biophysics and Chemistry. :1-12.

    A, JV, B JP.  2022.  An End-to-End Deep Learning Pipeline for Assigning Secondary Structure in Proteins. Journal of Computational Biophysics and Chemistry . :1-14.

    Jayaraj, PB, et al.  2022.  Ligand Based Virtual Screening Using Self-organizing Maps. The Protein Journal. :1-11.

    Francis, S, B JP.  2022.  ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images. Physical and Engineering Sciences inMedicine. :1-15.

    2021

    Francis, Seenia, JPB, et al.  2021.  Monte Carlo Simulation of Linear Accelerator for Dosimetry Analysis. . , April 4. In: 2021 6th International Conference for Convergence in Technology (I2CT). IEEE,. , Mumbai

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

    SUNNY, Sharon; JAYARAJ, PB.  2021.  FPDock: Protein–protein docking using flower pollination algorithm . Computational Biology and Chemistry. 93:107518.

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

    JISNA, JAYARAJVA; PB.  2021.  Protein structure prediction: conventional and deep learning perspectives. The Protein Journal. 40(4):522-544.

    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

    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

    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

    Professional Experience

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

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

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

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

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

    Teaching Interest

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

    Area of Interest

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

    Classes

    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

    Duties

    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

    Trainings Organized/Attended

    • 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

    Major Achievements

    • 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

    Worked With

    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

    Blog

    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

    Google Scholar

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