In the middle of difficulty lies opportunity - Albert Einstein Dream, Dream, Dream. Dream transforms into thoughts, and thoughts result in action". & "We should not give up and we should not allow the problem to defeat us. - A.P.J. Abdul Kalam
Ongoing Funded projects / grants
i) AIC-IIITKottayam (5 years - SANCTIONED)
Name of the Project: IoT Cloud Societal @Rs.3.56 crores.
Project Tenure: Five Years (Starting from 30 April 2019)
iii) BEL-Project, Consultancy work
Name of the project: Design and Development of Blockchain-based Inter organization Identity Management System
Tenure of the project: 15 months (Starting from Sep.2020)
Completed Funded projects/grants
i) NIMAT-DST, NSTEDB, An Entrepreneurship Program
Name of the project: Cloud Solutions for Emerging IoT Applications
Tenure of the project: 6 weeks in Dec. 2018 to Jan. 2019
ii) DST-FWF Collaborative Project Grant (3 years)
Name of the Project : EASE project - Energy Autotuning of HPC Applications
Project Tenure : May 2014 to April 2017
iii) DST Project Grant (3 years)
Name of the Project : EnergyAnalyzer
Project Tenure : March 2012 to February 2015
iv) Returning Experts Grant (1 year - Extension)
Name of the Project : HPCCLoud
Project Tenure : April 2013 to March 2014
v) Returning Experts Grant (2 years)
Name of the Project : HPCCLoud
Project Tenure : April 2011 to March 2013
vi) BEL Consultancy project
Name of the project: Exploration of blockchain technology for communications
Tenure of the project: One year (Dec.2019 to Feb. 2020)
Dr. Brintha N.C. Area: Cloud scheduling Working at: Kalasalingam University - Associate Professor, Srivilliputhur. Status: COMPLETED
Dr. Absa S. Area: Cloud Monitoring Working at: SXCCE, Nagercoil Status: COMPLETED
SHAJULIN BENEDICT graduated in 2001 from Manonmaniam Sunderanar
University, India, with Distinction. In 2004, he received M.E Degree
in Digital Communication and Computer Networking from A.K.C.E, Anna
University, Chennai. He is the University second rank holder for his
masters. He did his Ph.D degree in the area of Grid
scheduling under Anna University, Chennai (Supervisor - Dr. V. Vasudevan, Director, Software Technologies Group of TIFAC Core in Network Engineering).
He was affiliated towards the same group and published more papers in Int. Journals.
After his Ph.D award, he joined a research team in Germany to pursue PostDoctorate under the
guidance of Prof. Gerndt. He served as Professor at SXCCE Research Centre of Anna University-Chennai. Later, he
visited TUM Germany for teaching Cloud Computing as Guest Professor of TUM-Germany. Now, he works at the Indian
Institute of Information Technology Kottayam, Kerala, India, an institute of national importance of India. He serves as Director/PI/Representative Officer of AIC-IIITKottayam
(Sec.8 Company) for nourishing young entrepreneurs of India.
His research interests include HPC/Cloud/Grid scheduling, Performance Analysis of parallel applications (including exa-scale), CloudComputing, IIoT, Blockchain,
parallel compilers, and so forth.
Post Doc, Institut fur Informatik, Techniche Universitat Muenchen, Germany, March 2011
Ph.D, Computer Engineering, "ON SCHEDULING IN GRID COMPUTING", Anna University, Chennai, 2008
M.E., Digital Communication and Computer Network Engineering, Anna University, Chennai,2004
B.E., Electronics and Communication Engineering, M.S. University, Tirunelveli, 2001
Guest Lecture on IoT Cloud for Societal Applications (at Univ.of Klagenfurt, Austria) - 2019
Machine Learning and Cloud Solutions for Tools, TUM-Germany, May 2016
Energy Aware Autotuning for Scientific Applications (ActionPlan) 2014
HPC Cloud Applications and Performance Issues 2012
Instrumenting C based HPC applications 2009
Talks in India (Ongoing/Completed)
International Conference on Smart Data Intelligence (ICSMDI 2021), -- Keynote Talk on Topic: "Serverless Cloud Architecture for DeepIoT Analytics", 29.4.2021
Keynote Talk on Topic: "Performance Aspects of IoT Applications" at "Two Days National Seminar on AI in Wearable Devices", organized by KL University, Vijayawada, 26.5.2021
Keynote Talk on STTP organized by GEC Barton Hill -- Topic: "Serverless Cloud Deployment for IoT Applications", sponsored event by DTE, Govt.of Kerala, 23.2.2021
Keynote Talk -- Topic: "Recent Trends in IoT and Funding Options", Workshop by State Project Felicitation Unit, Kerala; Dr. Usha Titus, I A S, Principal Secretary, Higher Education Department, Government of Kerala, will inaugurate the session, 28.1.2021 (AN).
Keynote Talk -- Topic: "IoT-Cloud related Funding Schemes for Entrepreneurs", at COHORT-Impulse 2021, 20.1.2021.
AICTE-FDP -- Keynote Talk on Topic: "IoT for Wearable Applications", at SaintGits Engg. College, Kottayam, 13. Jan. 2021.
AICTE-FDP -- Keynote Talk on Topic: "IoT - Performance and Monitoring Aspects", Knowledge Institute of Technology, Salem, Tamilnadu, 4.Feb. 2021.
IEEE ICOSEC2020 -- Keynote Talk on "Serverless Blockchain - Pros and Cons" -- Sep 2020.
AICTE-FDP -- Keynote Talk on "Monitoring of Machine using IoT" at Amity University -- Oct 2020.
IoT Cloud for Trainers of School Students, Webinar Series at Labor India Teachers College of Mahatma Gandhi College, Kottayam, Kerala, India -- Aug 2020.
Machine Learning and HPCCloud solutions, FDP program, College of Engineering, Kidangoor, CAPE, Kerala, April 2016
Green HPC Cloud Solutions using EnergyAnalyzer, at Kalasalingam University, NAAC Sponsored event, India, 2014
Energy Modeling and Analysis of HPC Applications, Madurai 2014
Energy Modeling Solutions for HPC Clouds, Madurai 2013
Energy Efficient Clouds at Anna University, Chennai 2013
Energy Efficient Sensor Clouds at Kalasalingam University, Sirivilliputhur, India, 2013
OpenMP presentation at SUN Engineering College, Networks Seminar
HPC, Grid, Cloud Presentation at Ponjesly College of Engineering
Grid, Cloud presentation at St.Xavier's Catholic College of Engineering
Indian Patent (Design) - Title: Automatic Fish Feeder, No: 334476-001 - Journal No: 52/2020 dated 25.12.2020.
Indian Patent - Title: Digital Cost Meter for Fused Deposition Modeling (FDM) 3D Printers, No: 202041055550, Journal No: 52/2020 dated 25.12.2020.
Indian Patent (Design) - Title: Smart Bin with Rewarding Tracker, No: 333752-001 - Journal No: 46/2020 dated 13.11.2020.
Shajulin Benedict, Big City Bold Ideas , Self-pub, Edition 1, ISBN: 978-93-5408-352-5, pp. 1-94, Jan 2021.
Shajulin Benedict, Serverless Blockchain Enabled Architecture for IoT Societal Applications, in IEEE Transactions on Computational Social Systems, Vol. 7, No. 5, pp. 1146-1158, doi:10.1109/TCSS.2020.3008995 , 2020.
Nishant Saurabh, Shajulin Benedict, Jorge G.Barbosa, Radu Prodan, Expelliarmus: Semantic-Centric Virtual Machine Image Management in IaaS Clouds, in Journal of Parallel and Distributed Computing (Elsevier), Vol. 146, DOI: https://doi.org/10.1016/j.jpdc.2020.08.001 pp. 107-121, 2020.
Ennio Torre, Juan J. Durillo, Vincenzo de Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan, A Dynamic Evolutionary Multi-Objective Virtual Machine Placement Heuristic for Cloud Data Centers, in Information and Software Technology, Vol. 128, No. 106390, pp. 1-12, DOI: https://doi.org/10.1016/j.infsof.2020.106390 Elsevier, Dec. 2020.
Shajulin Benedict (2018), Prediction Assisted Runtime Based Energy Tuning Mechanism for HPC Applications, in Sustainable Computing, Informatics and Systems, Elsevier, Vol.19, pp.43-51, https://doi.org/10.1016/j.suscom.2018.06.004, 2018.
Rejitha R.S., Shajulin Benedict, Suja A.Alex, and Shany Infanto (2017), 'Energy Prediction of CUDA Application Instances using Dynamic Regression Models', in Computing-Springer, DOI:10.1007/s00607-016-0534-5, pp.1-26, 2017.
Matthias Janetschek, Radu Prodan, and Shajulin Benedict (2017), 'A Workflow Runtime Environment for Manycore Parallel Architectures', FGCS, Elsevier, DOI: http://dx.doi.org/10.1016/j.future.2017.02.029, Vol. 75, pp. 330-347, 2017.
Vincenzo Di Maio, Radu Prodan, Shajulin Benedict, Gabor Kecskemeti (2016), 'Modelling energy consumption of network transfers and virtual machine migration', in FGCS-Elsevier (March 2016), Vol. 56, doi:10.1016/j.future.2015.07.007, pp. 388-406, 2016.
Shajulin Benedict (2013), 'Performance Issues and Performance Analysis Tools for HPC Cloud Applications: A Survey, Computing Journal, Vol. 95, No. 2, pp 89-108, DOI 10.1007/s00607-012-0213-0 Springer, 2013.
Shajulin Benedict (2012), 'Energy-Aware Performance Analysis Methodologies for HPC Architectures - An Exploratory Study' Vol. 35, No. 6, Journal of Network and Computer Applications, Elsevier, 10.1016/j.jnca.2012.08.003, pages 1709 - 1719, November 2012.
Shajulin Benedict, Energy-Aware Edge Intelligence for Dynamic Intelligent Transportation System, in 10th IACC 2020, Communications in Computer and Information Science, Vol 1368, pp.132-151, Springer, DOI: https://doi.org/10.1007/978-981-16-0404-1_11 2021.
Shivendra Singh and Shajulin Benedict, Indian Semi-Acted Facial Expression (iSAFE) Dataset for Human Emotions Recognition, in LNCS Springer Conference, SIRS 2019, India (BEST PAPER AWARD), DOI: https://doi.org/10.1007/978-981-15-4828-4_13 , Vol.1209, 2020.
Shajulin Benedict, Rejitha R.S., and C.Bright, 'Energy Consumption Analysis of HPC Applications using NoSQL Database Feature of EnergyAnalyzer', in Intelligent Cloud Computing, LNCS, Springer, Vol. 8993, DOI:10.1007/978-3-319-19848-4_7, pp. 103-118, 2015.
Shajulin Benedict, Michael Gerndt, and Diana Michaela (2014), 'Formalizing Bottlenecks in Task-Based OpenMP Applications', in Advances in Parallel Computing,
IOS press, Vol. 25, doi:10.3233/978-1-61499-381-0-103, pages 103-112, 2014.
Shajulin Benedict and M.Gerndt (2012), 'Automatic Performance Analysis of OpenMP codes on a scalable shared memory system using Periscope', in Applied Parallel and Scientific Computing, Vol. 7134, pp. 452-462, LNCS, Springer Publishers, 10.1007/978-3-642-28145-7_44, 2012.
Shajulin Benedict, Matthias Brehm, M.Gerndt, Carla Guillen, Wolfram Hesse and V.Petkovve (2009), 'Automatic Performance Analysis of Large Scale Simulations', Lecture Notes in Computer Science (LNCS) series, Vol. 6043, pp. 199-207, 10.1007/978-3-642-14122-5_24, Springer publications, 2009.
Shajulin Benedict, V.Petkovve, M.Gerndt (2009), 'PERISCOPE: An Online-based Distributed Performance Analysis Tool' Book Chapter, Tools for High Performance Computing 2009, Springer Publishers, Dresden, 10.1007/978-3-642-11261-4_1, pp. 1-16.
Brintha N.C., Shajulin Benedict, Winowlin Jappes J.T., Resource Allocation in Cloud Manufacturing using Bat Algorithm, in Int. Journal of MTM, Inderscience publishers, Vol. 34, No. 3, pp.296-310, DOI:10.1504/IJMTM.2020.107309, 2020.
Shajulin Benedict (2018), Performance Improvement Options of Scientific Applications on XeonPhi KNL Architectures, in Int. Journal of Knowledge, Engineering and Data Mining, Inderscience journals, Vol. 5, No. 1-2, pp.1-16, 2018.
NC Brintha and Shajulin Benedict, A survey on cloud-based solutions for cloud manufacturing, in International Journal of Computer Aided Engineering and Technology, Vol. 10, No.1-2, pp.126-140, 2018.
Shajulin Benedict, Rejitha R.S., Preethi B., Bright C., and Judyfer W.S., 'Energy Analysis of Code Regions of HPC Applications using EnergyAnalyzer Tool', in Int. Journal of Computational Science and Engineering, InderScience publishers, Vol. 14, No.3, pp.267-278, 2017.
Brintha N.C., Shajulin Benedict, Winowlin Jappes J.T., A bio-inspired hybrid approach for managing and scheduling virtual Resources in Cloud Manufacturing, Applied Mathematics and Information Sciences, Vol. 11, No. 2, pp. 565-572, DOI:http://dx.doi.org/10.18576/amis/110228, 2017.
N.C. Brintha, Shajulin Benedict, J.T. Winowlin Jappes, An Approach for Management and Scheduling of Resources in Printing and Packaging Enterprise using Cloud Manufacturing, in Int. Journal of Printing, Packaging, and Allied Sciences, Vol. 4, No. 5, pp. 2983-2993, 2016.
N.C. Brintha, Shajulin Benedict, J.T. Winowlin Jappes (2015), Machining parameter optimisation of Al/SiCp composite materials using artificial neural networks, in IJCAET, Inderscience Publishers, Vol. 7, No.1 pp. 2 - 14, DOI:10.1504/IJCAET.2015.066166, 2015.
Christobel M., TamilSelvi, Shajulin Benedict (2015), "Efficient Scheduling of Scientific Workflows with Energy Reduction using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids" in Scientific World Journal, Hindawi publishers, Vol.2015, pp.1-11, 2015.
N.C. Brintha, Shajulin Benedict, J.T. Winowlin Jappes (2015), An Improved PSO based Cloud Solution for Cloud Manufacturing, Journal of Chemical and Pharmaceutical Sciences, Vol. 974, pp. 2115-2119, 2015.
Wilfred and Shajulin Benedict (2014), Extensive Survey on Software Tools and Systems Destined for Water Quality, in Int. Journal of Applied Engineering Research, Vol.9, No.22, pp.12991-13008, 2014.
Brintha. N. C, Shajulin Benedict, Winowlin Jappes (2013). J. T, Machining Parameter Optimization Of Al/Sic p Composite Materials Using Genetic Algorithm, Int. Journal of Engg. Research and Technology, Vol. 2, No. 6, pp. 691 - 703, 2013.
Absa S. and Shajulin Benedict (2013), Penalty Model for SLA Architecture in Cloud, Networking and Communication Engineering, Vol. 5, No. 4, pp. 200-206, 2013.
Shajulin Benedict, Rejitha R.S. and Vasudevan V. (2008), 'An evolutionary and hybrid scheduling algorithm for Computational Grids, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 12, No. 5, pp. 479-484.
Shajulin Benedict and Vasudevan V. (2008), 'A Niched Pareto GA approach for scheduling scientific workflows in wireless Grids', Journal of Computing and Information Technology, Vol. 16, No. 2, pp. 101-108.
Shajulin Benedict and Vasudevan V. (2008), 'Improving scheduling of scientific workflows using Tabu Search for computational Grids', Information Technology Journal, Vol. 7, No. 1, pp. 91-97.
Shajulin Benedict and Vasudevan V. (2007), 'Scheduling of scientific workflows using Evolutionary and Threshold Accepting algorithm for Grids', Asian J. of Information Technology, Vol. 6, No. 8, pp. 859-865. , June 2007.
Shajulin Benedict and Vasudevan V. (2007), 'Scheduling of scientific workflows using Simulated Annealing algorithm for Computational Grids', Int. J. of Soft Computing, Vol. 2, No. 5, pp. 606-611.
Shajulin Benedict and Vasudevan V. (2007), 'Scheduling of scientific workflows using Discrete PSO Algorithm for Grids', JCIT: J. of Convergence Information Technology, Vol. 2, No. 4, pp. 29-35.
Peer Reviewed International Conferences:
Shajulin Benedict, RandomForest Enabled Collaborative COVID-19 Product Manufacturing/Fabrications, in International Semantic Intelligence Conference (ISIC 2021) - Best Paper Award, CEUR-WS , 2021.
Shajulin Benedict, Prateek Agrawal, Radu Prodan, Energy Consumption Analysis of R-based
Machine Learning Algorithms for Pandemic Predictions, accepted in Springer 4th ICAICR 2020.
Shajulin Benedict, Energy Efficient Aspects of Federated Learning -- Mechanisms and Opportunities,
in icSoftComp2020, Springer-CCIS series , 2020.
Shajulin Benedict, Performance Issues and Monitoring Mechanisms for Serverless IoT Applications -- An Exploratory Study, accepted in SCI-2020, Springer-SIST series, 2020.
Radu Prodan, Ennio Torre, Juan J. Durillo, Gagangeet Singh Aujla, Neeraj Kummar, Hamid Mohammad, and Shajulin Benedict, Dynamic Multi-objective Virtual Machine Placement in Cloud Data Centers, in proc. of IEEE 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), DOI: 10.1109/SEAA.2019.00023 , pp.92-99, 2019.
Shubham Kumar, Shajulin Benedict, Srilakshmi N., Application of Natural Language Processing and IoTCloud in Smart Homes, in IEEE ICCT2019, Jaipur, India, doi: 10.1109/ICCT46177.2019.8969066 , pp.20-25, 2019.
Mannem Srinivas, Shajulin Benedict, Basil C. Sunny, IoT Cloud based Smart Bin for Connected Smart Cities - A Product Design Approach, in IEEE ICCCNT2019, IITKanpur, doi: 10.1109/ICCCNT45670.2019.8944558 , India, pp. 1-5, 2019.
Basil C. Sunny, Shajulin Benedict, Rajan M.P., and Mannem Srinivas, Impact of Printing Parameters on Energy Consumption of 3D Printers Using IoT Cloud Architecture, in IEEE INDICON 2019, Marwadi Univ., Rajkot, India, doi: 10.1109/INDICON47234.2019.9029069 , pp.1-4, 2019.
Shajulin Benedict, Rumaize P., and Jaspreet K., IoT Blockchain Solution for Air Quality Monitoring in SmartCities, in IEEE ANTS 2019, BITS PILANI, Goa Campus, India, doi: 10.1109/ANTS47819.2019.9118148 pp.1-6, 2019.
Shajulin Bendict, P.Gschwandtner, Thomas Fahringer, TOEP: Threshold Oriented Energy Prediction Mechanism for MPI-OpenMP Hybrid Applications, in IEEE IC32018, Noida, India, DOI: 10.1109/IC3.2018.8530575, 2018.
TF Philipp Gschwandtner, Alexander Hirsch, Shajulin Benedict, Towards Automatic Compiler-assisted Performance and Energy Modeling for Message Passing Parallel Programs, in 13th Workshop on Parallel Systems and Algorithms PASA 2018, Germany, 2018.
Shajulin Benedict, D.Giri, Nila G., and Sreelakshmi N., Real Time Water Quality Analysis Framework using Monitoring and Prediction Mechanisms, in proc. of 2018 Conference on Information and Communication Technology (CICT), Jabalpur, India, doi: 10.1109/INFOCOMTECH.2018.8722381 pp.1-6, 2018.
Shajulin Benedict, Revenue oriented air quality prediction microservices for smart cities, in IEEE Int. Conf. on Advances in Computing, Communications and Informatics (ICACCI), doi: 10.1109/ICACCI.2017.8125879 , pp.437-442, 2017.
Podolskiy, V., Gerndt, H.M., Benedict, S. QoS-based cloud application management: Approach and architecture, CrossCloud 2017 - 4th Workshop on CrossCloud Infrastructures and Platforms, Colocated with EuroSys 2017.
N.C.Brintha, J.T.Winowlin Jappes, Shajulin Benedict, A Modified Ant Colony Based Optimization for Managing Cloud Resources in Manufacturing Sector, in IEEE-based 2nd International Conference on Green High Performance Computing (ICGHPC'16), India, 2016.
Matthias Janetschek, Radu Prodan, and Shajulin Benedict (2015), 'A Workflow Runtime Environment for Manycore Parallel Architectures' in WORKS-SC'15, NY, USA, doi:10.1145/2822332.2822333, 2015.
Shajulin Benedict, Rejitha R.S., Phillip G., Radu Prodan, Thomas Fahringer (2015), 'Energy Prediction of OpenMP Applications using Random Forest Modeling Approach', in iWAPT2015 @ IPDPS 2015 DOI 10.1109/IPDPSW.2015.12, pp. 1251-1260, 2015.
Shajulin Benedict (2014), 'Application of Energy Reduction Techniques using Niched Pareto GA of EnergyAnalzyer for HPC Applications', in 7th IEEE IC3 2014, IEEE, scopus indexed (DBLP), http://dx.doi.org/10.1109/IC3.2014.6897234, 2014.
Wilfred and Shajulin Benedict (2014), 'AQUASCOPE: An Online Based Distributed Water Quality Analysis Methodology using Agents', in MESM2014, 2014.
Rejitha R.S., Bency Bright C., and Shajulin Benedict (2013), 'Energy Consumption Analysis and Energy Optimization Techniques of HPC Applications', in IEEE Int. Conf. on Energy Efficient Technologies for Sustainability, pp. 1388 - 1394, 2013.
Shajulin Benedict, Rejitha R.S., and Bency Bright C., 'Energy Consumption-based Performance Tuning of Software and Applications using Particle Swarm Optimization', in 6th IEEE CSI Int. Conf. on Software Engineering (CONSEG) 2012, IEEE proceedings, pp - 1-6, 2012.
Shajulin Benedict, Rejitha R. S. and Vasudevan V. (2008), 'Threshold Accepting scheduling algorithm for scientific workflows in Wireless Grids', Proc. of 4th IEEE Int. Conf. of Networked Computing and Advanced Information Management, IEEE Computer Society, Korea, DOI 10. 1109/NCM.2008.38, pp. 686 -691.
Shajulin Benedict, Vasudevan V. and Subramanian R. (2007), 'Scheduling of scientific workflows for computational Grids using Niche Based Evolutionary Algorithm', Proc. of Int. Conf. on Advanced computing and Communications, Madurai, pp. 138-141.
Shajulin Benedict and Vasudevan V. (2007), 'Scheduling of scientific workflows using Threshold accepting algorithm for Computational Grids', Proc. of IEEE Int. Conf. of Services, Informatics, Pennsylvania, USA, Vol. 27, No. 29, pp. 1-6.
Shajulin Benedict and Vasudevan V. (2006), 'Simulated Annealing algorithm for scheduling scientific workflows in Grids', Proc. of Int. Conf. on CPS'06, Chennai, pp. 83-88.
Shajulin Benedict and Vasudevan V. (2006), 'Scheduling of scientific workflows using Niched Pareto GA for Grids', Proc. of IEEE Int. Conf. on SOLI-06, Shanghai, China, pp. 908-912.
Peer Reviewed National Conferences:
Shajulin Benedict, Rejitha R.S., Suja Alex (2016), 'Energy and Performance Prediction of CUDA Applications using Dynamic Regression Models', in 9th India Science Engineering Conference (ISEC2016), acm publishers, Research Track-BITS Pilani, Goa, India, DOI: DOI=http://dx.doi.org/10.1145/2856636.2856643.
Shajulin Benedict, Rejitha R.S., and Suja A.Alex (2015), 'Scalability aware Performance AutoTuning for OpenMP Applications", in DDDAS-HiPC2015, DOI:10.1109/HiPCW.2015.24, Bangalore, India.
Shajulin Benedict (2014), 'Threshold Acceptance Algorithm based Energy Tuning of Scientific Applications using EnergyAnalyzer', doi.acm.org/10.1145/2590748.2590759, in ISEC2014, acm publishers, 2014.
Shajulin Benedict and Narmada T. (2005), 'Improving QoS in Enterprise Grid based on Agreement model', Proc. of the National Conference on Emerging trends in Networks and High performance communication system, ISTE at Hosur, India, pp. 46.
Shajulin Benedict and Arul Jesu Julie (2005), 'Evaluation of Desktop grid availability and utitlity', Proc. of the National Conference on Emerging trends in Networks and High performance communication system, ISTE at Hosur, India, pp. 71.
Shajulin Benedict and Meena. J. (2005), 'Enforcement of access control for trust aware in Grid applications', Proc. of the National Conference on Emerging trends in Networks and High performance communication system, ISTE at Hosur, India, pp. 52.
Shajulin Benedict and Rejitha R.S. (2008), 'Data Distribution with Bittorrent for Data Grids', in Proc. of National Conference of Information Technology, NCIT'08, KLU, Sirivilliputhur, India.
Shajulin Benedict and Bhuvaneshwari (2004), 'Hot Standby Routing Protocols for L3 Catalyst Switches', NCVER '04, Gwalior, India. pp. 137-141.
Energy Consumption Analysis/Reduction Techniques
Scalability solutions for exa-scale/Cloud applications
IoT Cloud Societal Application Developments
IoT Cloud solutions - blockchain and contracts
Performance Analysis of massive parallel Applications (HPC/Grid/Cloud)
Distributed Water Quality Analysis