About Us:

Roman Senkerik was born in the Czech Republic, and went to the Tomas Bata University in Zlin, Faculty of applied informatics, where he studied Technical Cybernetics and obtained his MSc degree in 2004, Ph.D. degree in 2008 (Technical Cybernetics) and Assoc. prof. degree in 2013 (VSB – Technical University of Ostrava – degree in Informatics). He is now a researcher and lecturer at the same university. His research interests are: Evolutionary Computation, Machine Learning, Data-science, Theory of chaos, Complex systems, Softcomputing methods and their interdisciplinary applications, Optimization, Neural Networks, and Cyber-security.

He was IPC member or session chair of many important international conferences:

  • IEEE Congress on Evolutionary Computation
  • IEEE Symposium Series on Computational Intelligence
  • ECMS – European Conference on Modelling and Simulation
  • HAIS – Hybrid Artificial Intelligence Systems
  • And many more…

He is Recognized Reviewer for many Elsevier journals as well as many other leading journals in computer science/computational intelligence. He was a part of the organizing teams for Special Sessions/symposiums at IEEE CEC and IEEE SSCI events. He was a guest editor of several Special Issues in journals, editor of Springer proceedings for several conferences.

Recent advances in Evolutionary computation

In recent decades, the metaheuristic techniques became well-established and frequently used tools for solving engineering and research optimization tasks with a various level of complexity in both real and discrete domains. Despite the fact, that the ongoing research has brought many powerful and robust metaheuristic algorithms, the researchers have to deal with a well-known phenomenon so-called no free lunch theorem forcing them to test various methods, techniques, adaptations and parameter settings leading to the acceptable results. The importance of finding a well-performing algorithm is growing together with the increase of the dimensionality and number of complex objectives in current optimization tasks.

This tutorial should acquaint researchers with the necessary background of the evolutionary computation, selected practical examples, as well as with the current research challenges and trends for the future. The tutorial is aimed at:

  • Differences between swarm-intelligence based systems and “classical” evolutionary algorithms.
  • The recent development in the field of evolutionary computation, how to use swarm/evolutionary algorithms and how to properly set up the parameters, benchmarking tools, evolutionary symbolic regression, i.e., how to evolve complex structures, formulas, programs, etc.
  • How the powerful optimizing tools like evolutionary and swarm-based algorithms can be in reality used for the optimization problems.
  • Current challenges bridging the gap between theory and practice.


Nitin Kumar Tripathi

Professor of Geoinformatics

School of Engineering and Technology

Director- Special Degree Programs

Asian Institute of Technology

P.O. Box 4, Klong Luang, Pathumthani, 12120, Thailand

Tel: +66-2-524-6392; Fax: +66-2-524-5597 /

About Us:

Nitin K. Tripathi is a Professor in Remote Sensing (RS) and Geographical Information Systems (GIS) in Asian Institute of Technology (AIT), Thailand as with over 30 years’ experience in teaching, research and projects. Apart from his regular responsibilities of teaching and research at AIT, he has also served as the Leader of Information and Communication Technology (ICT) and Coordinator for the RS and GIS field of study. He has earlier served in various administrative positions in AIT such as Dean-School of Engineering and Technology, Director- Academic Quality Assurance and Accreditation, Chairman- Academic Development Review Committee, and Director-Unified Program. He is currently President of IIT Alumni Association Thailand.

He has supervised 38 Doctoral and 128 Masters theses where majority of the research topics focused on the applications of GIS and RS in Climate Change impacts on water resources, agriculture and health; health and environment; Radio-Frequency IDentification (RFID) and location based information services, Internet GIS and system security, crop substitution modeling etc. At present, he is also involved in research related to the impacts of extreme weather events and solar flares on the accuracy of Global Positioning System (GPS) signals supported by USAFRL. Dr. Tripathi has successfully conducted several projects in collaboration with international and national partners. He has been carrying out sponsored and research projects as Principal Investigator (PI)/ Co-PI for international organizations like MHRD-India, DST-India, DAE-India, MPEDA-India, UNEP, JICA, IRD-France, European Union, AORD-USA, SIDA, NACA, Royal Thai Government, EARASMUS + and others. He has been conducting a number of training programs related to applications of geospatial techniques in environment, climate change and health sectors for UNODC, UNEP, FAO, Forestry Dept. of Nigeria, GISTDA Thailand, MACRES Malaysia, Bakosurtanal, Forestry Department of Cambodia and several others. He has conducted project and training in India, Thailand, Burma, Cambodia, Laos, Vietnam, Indonesia, Philippines, Sri Lanka, and Bangladesh.

Dr. Tripathi obtained his B. Tech. – Civil Engineering Degree in 1984 from N.I.T. Warangal, India; M. Tech. – Remote Sensing and PhD in Remote Sensing from I.I.T. Kanpur respectively. Dr. Tripathi has a total of 182 publications to his credit (2 book, 11 chapters in books, 109 research papers in peer reviewed Journals and 60 conference papers) majorly in peer-reviewed international journals. He is an acclaimed researcher in the field of remote sensing and GIS Applications and is highly cited in peer reviewed journals. His Scopus H-Index is 18 with 1090 citations and in Google Scholar H-Index 25 with 2186 citations He has very impressive Research Gate Score as 36 with H-index 21.

He has worked at National Institute of Technology, Allahabad, India (1988-89) and Indian Institute of Technology (IIT), Kanpur in India (1989-99) before joining AIT in the year 2000. He has earned several awards including Young Scientist Award from department of Atomic Energy, India, AICTE Career Award for Young Teacher, MHRD-India, Osaka City University Distinguished Scientist Award, Japan and several others including best paper awards in conference papers. He was awarded Distinguished Alumni Award by National Institute of Technology Warangal in 2016.

Prof Tripathi was actively involved in Indian Society of Remote Sensing and Indian Society of Geomatics. He also served as Life Members of Institution of Engineers – India and also Indian Society of Technical education-India. He was active member of Asian Conference on Remote Sensing and launched the first Asian Journal of Geoinformatics from AIT in the year 2001. Later he launched another International Journal of Geoinformatics in 2005 and is Editor-in-Chief. He is in editorial board of Journal of Remote Sensing published by Springer and ISRS journal Published by Taylor and Francis. He has been serving on the advisory board of a number of international journals including International Journal of Remote Sensing, International Journal of Imaging, Disaster Advances, and others.

Geospatial Hotspot Analysis of Lung Cancer Cases Related to Fine Particulate Matter (PM2.5) and Wind in a Coastal Industrial Ecosystem

By Prof Nitin Kumar Tripathi, Asian Institute of Technology

Lung Cancer aroundthe world is becoming a significant health problem. It is one of the leading causes of deaths by any disease in Thailand. Lung cancer is the most common cancer and major cause of cancer death.Lung cancer is highly related to particulate matter (PM) especially fine particulate with diameter of 2.5 µm or less (PM2.5). Recent studies had indicated a strong correlation between fine particulate matter (PM2.5) and lung function diseases. A high incidence of lung cancer was found in people living coastal industrial areas especially on eastern sea board of Thailand.

This research is aimed at understanding the phenomenon of lung cancer and it is spatial correlation related to PM2.5 using Geographic Information Systems (GIS) techniques. Objectives of this study are to temporally and spatially analyze the lung cancer incidence and mortality rates; to generate the fine particulate matter (PM2.5) map in eastern Thailand and analyze its spatial pattern and to explore spatial relationship between PM2.5 and lung cancer incidence and mortality rates. Results allowed us to visualize and analyze lung cancer hotspot, adjust for known confounders including sex and age of lung cancer patients and test for the statistical significance of location and time with PM2.5. Choropleth maps of lung cancer incidence and mortality rates were generated for the first time, which revealed that the number of male cancer patients is higher than that of females in eastern Thailand. One of the significant results of the study is that global autocorrelation demonstrated considerable spatial clustering of lung cancer incidence and mortality. Moreover, 91.56% of lung cancer patients were in the age group of above 50 in both genders. These findings are useful in identifying the cancer registry information globally as well as locally. We have also used wind direction and speed to find distribution patters of PM2.5 and the relationship with cancer incidence. The methodologies developed in this study can be applied in the context of any industrial zones and find the vulnerability areas related to Lung cancer. This may provide a very useful approach to provide information for preventive measures from this dreaded disease.



Dr Dilip Kumar Sharma

Topic of Talk - "Role, Responsibilities and Benefits of Professional Societies in Enhancing the Technical Education" (30 Min)
“Challenges in Big Data & Analytics” (30 Min)

About Us:

Dr Dilip Kumar Sharma is B.E.(CSE), M.Tech. (CSE) and Ph.D in Computer Engineering. He is Senior Member of IEEE, IEEE-CS,IEEE-SIGHT, IEEE-IAS and Senior Member of ACM, USA , CSIand Fellow of IETE. He has delivered/chaired more than 70 invited talks/guest lectures and chaired the technical sessions at various institutes/conferences. He has attended 32 short term courses/workshops/seminars organized by various esteemed originations and edited two books and worked as Guest Editor of International Journals of repute. He has organized more than 12 IEEE/CSI International/National Conferences and Workshops with the capacity of General Chair, Co-General Chair, Convener and co-convener etc. He has published more than 75 research papers in International Journals /Conferences of repute indexed in SCI, Scopus and DBLP databases and participated in 50 International/National conferences. He is Conferred Significant Contribution Award by Computer Society of India in 2012, 2013,2014 &2017. He has also visited foreign countries such as Sri Lanka, Belgium, Netherlands, and Nepal, Dubai UAE. Presently he is working as Programme Coordinator (MTech CSE) & Professor in Department of Computer Engineering & Applications, GLA University, Mathura, U.P, India since March 2003. He is Convener/Chair of SIGHT IEEE Uttar Pradesh Section (Geographical boundaries are Uttar Pradesh, Utrakhand), Vice Chairman IEEE Computer Society Chapter of U. P. Section. He is also current Chairman of Computer Society of India Mathura Chapter (consisting of Agra, Aligarh and Mathura region). His research interests are Web Information Retrieval and Software Engineering. He has guided various Thesis, projects and seminars undertaken by the students of undergraduate/postgraduate and he is currently guiding 5 PhDs and numbers of MTech / Thesis, Seminars and BTech Projects.



Dr. Prashant K Sarswat

Department of Metallurgical Engineering, University of Utah, Salt Lake City, UT84112, USA

About Us:

Currently, I am a Faculty member and Director of Materials Synthesis, Testing, and Analysis Facility in the Department of Metallurgical Engineering at the University of Utah. I am also participating investigator of Inflammation, Immunology, & Infectious Diseases initiative at University Health Care. At present, I am involved in a project focusing on additive manufacturing of high entropy alloys and ceramics. In the last couple of years, I completed various projects where primary research was in the area of sustainable energy technology, advanced materials and photoelectrochemistry, computational methods, and sustainable design, synthesis, and characterization of nanostructured materials. During my career in materials science and engineering, I authored or co-authored more than 55 articles (50 published, 5 under consideration) in top-ranked journals. I submitted eight invention disclosures to University-Technology and venture Commercialization. Many of my articles are internationally recognized and top downloaded articles since their date of publication. My research efforts in the Department of Metallurgical Engineering have been showcased in more than 130 news websites, science magazines, and media channels including Discovery News, primetime interview on FOX 13, KSL Radio, Science Daily, The Economist, Huffington Post, and USA Today. Prior to my graduate study in the USA, I worked as a Sr. Project Engineer at the Ion Beam Center for Science, Engineering, and Technology (IBSET, IIT Kanpur). In my role, I helped commission a Focused Ion beam system, an Oxford Microbeam, and a Tandetron accelerator. A FIB assisted nanostructures and deposition algorithm created by me were utilized in several areas of research at IIT Kanpur. At the University of Utah, I completed various government and industry-funded projects, initiated a facility for solar cell materials processing, helped install a JPK Atomic Force Microscopy user facility, and wrote several grant proposals, many of them have been funded. My recently approved grant proposals (total funding: 900,000.0 USD) are funded from U.S. Department of Energy and FMI Inc.


  • B.Tech, Indian Institute of Technology, Dhanbad
  • M.S., University of Utah, USA
  • Ph.D., University of Utah, USA
  • Certified Machine learning Professional, Stanford University, USA

Abstract of Talk:

Fabrication and design of innovative materials to meet unmet needs of the present and enable the future

Materials science in the twenty-first century has witnessed a number of inventions and discoveries of advanced materials that meet rapid development needs at affordable costs that have enabled tremendous technological tools that are available to everyone. Materials for clean energy production, biosensing, and high-speed electronics are emerging with the capability to directly impact human welfare. Innovative and intelligent designs of new materials are being made that incorporate the needs for materials performance while balancing the needs for environmental stewardship. With these targets, in this presentation, several exciting developments related to synthesis and stoichiometric modifications, fundamental modeling, and electronic properties as well as applications of several new and modified nanostructured and layered (2D) materials will be discussed. Some of the new applications are nanobiosensing, healthcare monitoring, optical devices, memory resistance, photodetectors, and water splitting for hydrogen production. In addition to the direct synthesis of novel materials and their applications, efficient utilization of waste-derived advanced materials will also be presented.

Conference Venue

Shri Ramswaroop Memorial Group of Professional Colleges
Tiwariganj, Faizabad Road,
Lucknow-226028 (U.P)