Keynote Speakers
Dr. ANAND NAYYAR
We consider blockchains and other decentralised systems from a performance and dependability engineering perspective. The presentation builds on several keynotes delivered in recent years by the author, which consider blockchain performance engineering in the system layer, the consensus layer and the incentives layer, respectively. In this keynote we provide an overall view on model-based performance and dependability analysis and on the software tools that support such modelling. We also discuss in some more detail the BlockSim simulation tool, recent model-based analysis results for the Verifier’s Dilemma and concerns for other emerging decentralised and distributed systems, including those for federated learning.
Bio:
Dr. Anand Nayyar, a distinguished academician, researcher, and innovator, has a rich educational background with a Gold Medal in MCA from Punjabi University, an MBA in Information Systems, and a Ph.D. in Computer Science specializing in Wireless Sensor Networks, Swarm Intelligence, and Network Simulation. With 18+ years in teaching and research, he’s currently an Assistant Professor and Vice-Chairman (Research) at Duy Tan University, Vietnam.
He boasts an impressive publication record with 127+ research papers in high-impact journals, 50+ papers in international conferences, and over 40 authored books in Computer Science. His contributions extend to 75+ articles in IT magazines, highlighting his influence in the field.
Dr. Nayyar holds 75+ international professional certifications and has been actively involved in over 500 national and international conferences as a committee member, session chair, or keynote speaker. He’s also an Associate Editor for 10+ SCI/SCIE/SCOPUS journals and the Editor in Chief of the “International Journal of Smart Vehicles and Smart Transportation.”
With a portfolio of 11 Australian patents, numerous Indian and Canadian copyrights, and a consistent track record of guiding postgraduate students, Dr. Nayyar’s work spans a broad spectrum of tech domains, including IoT, Cyber Security, AI, and more. His contributions to research and education have earned him 33+ awards and a substantial following on his educational YouTube channel, Gyaan with Anand Nayyar.
Dr. Sandeep Chaturvedi
We consider blockchains and other decentralised systems from a performance and dependability engineering perspective. The presentation builds on several keynotes delivered in recent years by the author, which consider blockchain performance engineering in the system layer, the consensus layer and the incentives layer, respectively. In this keynote we provide an overall view on model-based performance and dependability analysis and on the software tools that support such modelling. We also discuss in some more detail the BlockSim simulation tool, recent model-based analysis results for the Verifier’s Dilemma and concerns for other emerging decentralised and distributed systems, including those for federated learning.
Bio:
Sandeep Chaturvedi received his B.Sc. (Electronic) from A.P.S. University, Rewa (M.P.), India in 1995, M. Sc. (Electronics)from Dr. Hari Singh Gour University, Sagar (M.P.), India in 1997, M. Tech (Instrumentation) from Devi Ahilya University, Indore (M.P.), India in 1999 and Ph.D in Microwave Engg from IIT Delhi.
He joined the Gallium Arsenide Enabling Technology Center (GAETEC), Hyderabad, India’s only GaAs MMIC foundry, in Nov 1999, where he has worked in the areas of RF characterization of high frequency active and passive devices and MMICs, measurement automation, MMIC packaging and modeling and design of state of the art MMICs. He is currently Deputy General Manager and Head- MMIC Design Center in GAETEC.
His current research interests and activities are in the field of device modeling, packaging and MMIC design on GaAs and GaN technologies. He has published more than 20 research papers in International journals and conferences.
Ariel Soares Teles
Title: Professor, Computer Science Department, Federal Institute of Maranhão, Araioses Campus, Brazil
We consider blockchains and other decentralised systems from a performance and dependability engineering perspective. The presentation builds on several keynotes delivered in recent years by the author, which consider blockchain performance engineering in the system layer, the consensus layer and the incentives layer, respectively. In this keynote we provide an overall view on model-based performance and dependability analysis and on the software tools that support such modelling. We also discuss in some more detail the BlockSim simulation tool, recent model-based analysis results for the Verifier’s Dilemma and concerns for other emerging decentralised and distributed systems, including those for federated learning.
Ariel Soares Teles graduated in Computer Science from the State University of Piauí (2008), Specialization in Computer Networks from Faculdade Piauiense (2010), Master’s (2012) and Doctorate (2017) in Electrical Engineering from the Federal University of Maranhão (UFMA) with area concentration in Computer Science. He completed two sandwich doctorate internships, one national at the Pontifical Catholic University of Rio de Janeiro and the other international at the Faculty of Engineering of the University of Porto, where he was also linked to the Institute of Systems and Computer Engineering – Technology and Science, in Porto-PT . Post-doctorate at the Federal University of Piauí (UFPI/Campus Parnaíba). He is currently a Professor at the Federal Institute of Maranhão (IFMA/Campus Araioses), coordinator of the Laboratory of Innovations and Research in Informatics (LiPi/IFMA), coordinator of the Innovation Factory at IFMA/Campus Araioses, permanent professor of the Postgraduate Program in Computer Science from UFMA (PPGCC/UFMA) and permanent professor in the Postgraduate Program in Biotechnology at UFDPar (PPGBiotec/UFDPar), associate researcher at the Laboratory of Intelligent Distributed Systems (LSDi/UFMA) and Neuro-innovation Technology & Brain Mapping Laboratory (NITLAB/UFDPar). Member of the Brazilian Computing Society (SBC), the Institute of Electrical and Electronics Engineers (IEEE), and the International Society for Research on Internet Interventions (ISRII).
Ahmad Hoirul Basori
Professor, Faculty of Computing and Information Technology Rabigh, King Abdulaziz University, Rabigh, Saudi Arabia
We consider blockchains and other decentralised systems from a performance and dependability engineering perspective. The presentation builds on several keynotes delivered in recent years by the author, which consider blockchain performance engineering in the system layer, the consensus layer and the incentives layer, respectively. In this keynote we provide an overall view on model-based performance and dependability analysis and on the software tools that support such modelling. We also discuss in some more detail the BlockSim simulation tool, recent model-based analysis results for the Verifier’s Dilemma and concerns for other emerging decentralised and distributed systems, including those for federated learning.
Ahmad Hoirul Basori received B.Sc(Software Engineering) degree from Institut Teknologi Sepuluh Nopember Surabaya in 2004 and the Ph.D (Computer Graphics) from Universiti Teknologi Malaysia, Johor Bahru, Johor, in 2011. In 2011, he appointed as Assistant Professor with the Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia. In 2013, he appointed as Assistant Professor at the Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University. In 2016, he was promoted to Associate Professor rank in the Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University. Afterwards, in 2020, he is promoted to Full Professor rank in the Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University. He is a member of the Editorial Board of some international journal and published more than 100 articles. He is also a member of professional membership IEEE, ACM SIGGRAPH, IAENG and Senior Member of IACSIT. His research interests include Computer Graphics, Facial Animation, Cloth Simulation, Medical Visualization, Haptic Interaction, Man-Machine Interaction and Robotics
Dr. Siddhaling Urolagin
We consider blockchains and other decentralised systems from a performance and dependability engineering perspective. The presentation builds on several keynotes delivered in recent years by the author, which consider blockchain performance engineering in the system layer, the consensus layer and the incentives layer, respectively. In this keynote we provide an overall view on model-based performance and dependability analysis and on the software tools that support such modelling. We also discuss in some more detail the BlockSim simulation tool, recent model-based analysis results for the Verifier’s Dilemma and concerns for other emerging decentralised and distributed systems, including those for federated learning.
Bio:
Dr.Siddhaling Urolagin is Associate Professor in department of CS and an expert in machine learning, data science, data mining, neural network, deep learning, NLP, text mining, image recognition. He has completed B.E from Gogte Institute of Technology, Belgaum in 2001 and M.Tech from Manipal Institute of Technology, Manipal in 2004. Both are in discipline of Computer Science and Engineering. He has obtained PhD from Manipal University in the area of machine learning and pattern recognition. His research has been recognized as second best research at Manipal University. He has been granted AICTE fund for an application of document image analysis to translate scanned document to Braille equivalent during his PhD. He has been awarded PhD in computer science and engineering from president of India Hon’ble Smt. Prathibha Patil in 2010.
He pursued Post-Doctoral research from Lund University, Sweden between years 2012 to 2014 in application of machine learning to bioinformatics. He published around 17 international journal papers, 36 international conference papers. Currently he a recognized guide in BITS-Pilani and Vishwesharya Technical University, Belgaum and guiding 2 PhD students.
