Prof. (Dr.) Bernard Jones

Emeritus professor, University of Groningen

Bernard Jones is Emeritus Professor at the Kapteyn Astronomical Institute of the University of Groningen in the Netherlands His research has covered many areas of astrophysics, both theoretical and observational, with a strong emphasis on cosmology, where he is widely published and cited. He is the author of the recent highly celebrated book Precision Cosmology: the first half million years (CUP 2017) and "The Reinvention of Science: Slaying the Dragons of Dogma and Ignorance", co-authored with Vicent Martinez and Virginia Trimble (World Scientific 2013).

Bernard did his PhD at the Institute of Astronomy in Cambridge (UK) supervised by Dennis Sciama and Martin Rees. He then went on to work as a postdoctoral fellow at Princeton and Berkeley under James Peebles. There followed periods in Queensland, Paris, and Copenhagen before finally settling at the Kapteyn Institute in Groningen, the Netherlands. Bernard has supervised and mentored the research work of over 50 postgraduates from all over the world and is highly regarded as a teacher, lecturer, and presenter of both popular and academic talks.

Prof. (Dr.) Rien van de Weygaert

University of Groningen

Rien van de Weygaert studied astronomy and physics at the University of Leiden, where he obtained his PhD cum laude in 1991 on ‘Voids and the Geometry of Large Scale Structure' (supervised by prof. Bernard Jones, prof. Vincent Icke and prof. P.T. de Zeeuw).

Subsequently, he worked as an NSERC fellow at the Canadian Institute of Astrophysics (CITA) in Toronto, Canada and as a research fellow at the Max Planck Institut for Astrophysik in Garching, Germany before taking up a KNAW fellowship (Royal Academy of Arts and Sciences) at the Kapteyn Astronomical Institute at the University of Groningen. Since 2004 he is professor of cosmological structure formation at the Kapteyn Astronomical Instiute.

His research interests concern cosmology, the large-scale Universe and the formation of structure in the Universe, as well as computational geometry and topology and pattern recognition. Within this research interest he has had a particular interest in the formation and dynamics of the Cosmic Web, the complex network of interconnected filamentary galaxy associations that pervades our universe on scales of tens to hundreds of million lightyears, and the existence and evolution of voids, the large near empty regions in between these structures. For the analysis of this structure, he has been working on a diverse array of tools based on Voronoi and Delaunay tessellations and related geometric and topological concepts, finding that they provide a highly versatile means of tracing the complex structures seen in the Universe. Aside from these cosmological concepts, he has also been interested in the history of astronomy, via a research project on world's oldest astronomical and mechanical computer, the Antikythera mechanism from ancient Hellenistic times.

Prof. (Dr.) Sankar Kumar Pal

Chair, Academic Advisory Board National Science Chair, Govt. of India President, Indian Statistical Institute

National Science Chair, Government of India; President, Indian Statistical Institute

Biography: Sankar K Pal is a National Science Chair, SERB, Govt. of India, and an Emeritus Professor and the President of Indian Statistical Institute (ISI). He is a Distinguished Scientist and former Director of the Indian Statistical Institute, a former Distinguished Professor of the Indian National Science Academy, and a former Chair Professor of the Indian National Academy of Engineering. Currently, he is also an AICTE Distinguished Chair Professor, and a Scholar-in-Residence of IIT Jodhpur, India. He founded the Machine Intelligence Unit and the Center for Soft Computing Research: A National Facility in the Institute in Calcutta. He received a Ph.D. in Radio Physics and Electronics from the University of Calcutta in 1979, and another Ph.D. in Electrical Engineering along with DIC from Imperial College, University of London in 1982. He joined ISI in 1975 as a CSIR Senior Research Fellow where he became a Full Professor in 1987, Distinguished Scientist in 1998, the Director for the term 2005-2010, and the President for the term 2022-2024.

He was the first Computer Scientist outside Statistics and Mathematics to become the Director of the Indian Statistical Institute since its inception in 1931. He is also the first Ex-employee of ISI to get elected to hold the honorable Chair of President of ISI after its inception in 1931. He worked at the University of California, Berkeley, and the University of Maryland, College Park in 1986-87; the NASA Johnson Space Center, Houston, Texas in 1990-92 & 1994; and at US Naval Research Laboratory, Washington DC in 2004. Since 1997 he has served as a Distinguished Visitor of the IEEE Computer Society (USA) for the Asia-Pacific Region and held several visiting positions in Italy, Poland, Hong Kong, and Australian universities. Prof. Pal is a Fellow of the IEEE, the Academy of Sciences for the Developing World (TWAS), the International Association for Pattern Recognition, the International Association of Fuzzy Systems, the Asia-Pacific Artificial Intelligence Association, and all the four National Academies for Science/Engineering in India.

He is a Foreign Member of the European Academy of Sciences and Arts. He has co-authored 21 books, about 500 research papers, and 2 US patents in the areas of Pattern Recognition and Machine Learning, Image/Video Processing, Data Mining, Web Intelligence, Soft Computing, Bioinformatics, and Cognitive machines. Prof. Pal has made fundamental contributions to machine intelligence research by developing various modern approaches. He pioneered the development of Fuzzy Set Theory, and Neuro-Fuzzy and Rough-Fuzzy Computing, in general, and their applications in Pattern Recognition, Image Processing, Machine Learning, Knowledge-based systems, and Data Mining, in particular. He is the one who introduced the Soft Computing concept and research in India. He visited forty-five countries as a Keynote/ Invited speaker or an academic visitor. He has received the 1990 S.S. Bhatnagar Prize, 2013 Padma by the President of India and many prestigious awards in India and abroad including the G.D. Birla Award in 1999, Om Bhasin Award in 1998, Jawaharlal Nehru Fellowship in 1993, Khwarizmi International Award in 2000 from the President of Iran, FICCI Award in 2000-2001, Vikram Sarabhai Research Award in 1993, NASA Tech Brief Award (USA) in 1993, IEEE Trans. Neural Networks Outstanding Paper Award in 1994, IETE-R.L. Wadhwa Gold Medal in 1997, INSA-S.H. Zaheer Medal in 2001, Indian Science Congress-P.C. Mahalanobis Birth Centenary Gold Medal from the Prime Minister of India for Lifetime Achievement in 2005-06, J.C. Bose Fellowship of the Govt. of India in 2007, INAE Chair Professorship in 2013, DAE Raja Ramanna Fellowship in 2015, INAE-S.N. Mitra Award in 2015, INSA-Jawaharlal Nehru Birth Centenary Lecture Award in 2017, INSA Distinguished Professorial Chair in 2018, National Science Chair, Govt. of India in 2020, and AICTE Distinguished Chair Professor in 2021. Prof. Pal has served/serving in editorial board of ~30 internationally well-known scientific journals in computer science and engineering including several IEEE Transactions. His Google Scholar h-index is 83 with 35,000+ total citations.

Prof. (Dr.) Vincenzo Piuri

National Science Chair, Government of India; President, Indian Statistical Institute

Vincenzo Piuri has received his Ph.D. in Computer Engineering at Polytechnic of Milan, Italy (1989). He is a Full Professor in Computer Engineering at the University of Milan, Italy (since 2000). He has been an Associate Professor at the Polytechnic of Milan, Italy, and Visiting Professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA.

His main research interests are in Artificial Intelligence, Computational Intelligence, Intelligent Systems, Machine Learning, Pattern Analysis and Recognition, Signal and Image Processing, Biometrics, Intelligent Measurement Systems, Industrial Applications, Digital Processing Architectures, Fault Tolerance, Cloud Computing Infrastructures, and Internet-of-Things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters.

He is a Fellow of the IEEE, a Distinguished Scientist of ACM, and a Senior Member of INNS. He is IEEE Region 8 Director (2023-24) and has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Systems Council, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society.

He has been Editor-in-Chief of the IEEE Systems Journal (2013-19). He is Associate Editor of the IEEE Transactions on Cloud Computing and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access.

He received the IEEE Instrumentation and Measurement Society Technical Award (2002), the IEEE TAB Hall of Honor (2019), and the Rudolf Kalman Professor Title of the Obuda University, Hungary.

Prof. (Dr). Thomas Hanne

Thomas Hanne received master’s degrees in Economics and Computer Science, and a PhD in Economics. From 1999 to 2007 he worked at the Fraunhofer Institute for Industrial Mathematics as a senior scientist. Since then, he is a Professor of Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of the Competence Center Systems Engineering since 2012. Thomas Hanne is the author of more than 200 journal articles, conference papers, and other publications and editor of several journals and special issues. His current research interests include Computational Intelligence, Evolutionary Algorithms, Metaheuristics, Optimization, Simulation, Multicriteria Decision Analysis, Natural Language Processing, Machine Learning, Systems Engineering, Software Development, Logistics, and Supply Chain Management.

Prof. (Dr). Patrick Siarry

Patrick Siarry was born in France in 1952. He received the Ph.D. degree in Computer Science and optimization from University Paris VI, Paris, France, in 1986, and the Doctor of Sciences (Habilitation) degree in Computer Science and Optimization from University Paris XI, Orsay, France, in 1994. He was first involved in the development of analog and digital models of nuclear power plants with Electricité de France, Paris. Since 1995, he has been a Professor of Automatics and Informatics with Université Paris-Est Créteil, Créteil, France.

His main research interests include Computer-aided Design of Electronic Circuits, Cognitive Intelligence, and the applications of new Stochastic Global Optimization Heuristics to various engineering fields, also including the fitting of process models to experimental data, the learning of fuzzy rule bases, and of neural networks.

Prof. (Dr). Bernard De Baets

Bernard De Baets is a Senior Full Professor and Head of Department at the Department of Data Analysis and Mathematical Modelling of the Faculty of Bioscience Engineering of Ghent University. He is leading the Knowledge-based Systems research unit KERMIT. As a trained Mathematician, Computer Scientist and Knowledge Engineer, he has developed a passion for multi- and interdisciplinary research. While being deeply involved in fundamental research in three interlaced research threads (knowledge-based, predictive and spatio-temporal modelling), he also aims at innovative applications in the applied biological sciences. He is a prolific writer, with a bibliography comprising over 550 peer-reviewed journal papers (bestowed with various best paper awards), accumulating close to 25000 Google scholar citations. He actively serves the research community, in particular as editor-in-chief of Fuzzy Sets and Systems and as a member of the editorial board of several other journals. Bernard is an Honorary Professor of Budapest Tech (Hungary), a Doctor Honoris Causa of the University of Turku (Finland), a Profesor Invitado of the Universidad Central “Marta Abreu” de las Villas (Cuba) and a Professor Extraordinarius of the University of South Africa. He is a fellow of IFSA (International Fuzzy Systems Association), a recipient of the EUSFLAT Scientific Excellence Award and a nominee of the Ghent University Prometheus Award for Research.

Prof. (Dr). Andries Engelbrecht

Andries Engelbrecht received the master’s and Ph.D. degrees in Computer Science from Stellenbosch University, South Africa, in 1994 and 1999, respectively. Before 2019, he was with the Department of Computer Science, University of Pretoria, from 1998 to 2018, where he served as the Head of the Department, from 2008 to 2017; the South African Research Chair of artificial intelligence, from 2007 to 2018; and the Director of the Institute for Big Data and Data Science, from 2017 to 2018. He is currently appointed as the Voigt Chair of data science with the Department of Industrial Engineering, with a joint appointment as a Professor with the Computer Science Division, Stellenbosch University.

He is the author of two books Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence. He is the author/co-author of over 370 articles. He currently holds an NRF A-rating. His research interests include Swarm Intelligence, Evolutionary Computation, Artificial Neural Networks, Artificial Immune Systems, Machine Learning, Data Analytics, and the application of these Artificial Intelligence paradigms to Data Mining, Games, Bioinformatics, Finance, and difficult optimization problems.

Prof. (Dr). Arturas Kaklauskas

Arturas Kaklauskas is a professor at Vilnius Gediminas Technical University, in Lithuania; Head of the Department of Construction Management and Property; Laureate of the Lithuanian Science Prize; member of the Lithuanian Academy of Sciences, Editor of Engineering Applications of Artificial Intelligence, an international journal and associate editor of journal “Ecological Indicators”. He contributed to nine Framework and five Horizon 2020 programmes projects and participated in over 30 other projects in the EU, US, Africa and Asia. The Belarusian State Technological University (Minsk, Belarus) awarded him an Honorary Doctorate in 2014. His publications include nine books and 143 papers in Web of Science Journals. Fifteen PhD students successfully defended their theses under his supervision.

His areas of interest include affective computing, intelligent tutoring systems; affective intelligent tutoring systems; Massive open online courses (MOOCS); affective Internet of Things; smart built environment; intelligent event prediction, opinion mining, intelligent decision support systems, life cycle analyses of built environments, energy, climate change, resilience management, healthy houses, sustainable built environments, big data and text analytics, intelligent library, internet of things, etc.

Prof. (Dr). Irina Perfilieva

Professor Irina Perfilieva, Ph.D., received the degrees of M.S. (1975) and Ph.D (1980) in Applied Mathematics from the Lomonosov State University in Moscow, Russia. At present, she is full professor of Applied Mathematics in the University of Ostrava, Czech Republic. At the same time, she is head of Theoretical Research Department in the Centre of Excellence IT4Innovations, University of Ostrava, Institute for Research and Applications of Fuzzy Modeling. She is the author or co-author of three books on mathematical principles of fuzzy sets and fuzzy logic, co-editor of one edited monograph and guest editor of many special issues of scientific journals. She published around 200 papers in the areas of multi-valued logic, fuzzy logic, fuzzy approximation, fuzzy relation equations, and image processing.

She is member of editorial boards of the journals Fuzzy Sets and Systems, Journal of Computational Intelligence Research, Iranian Journal of Fuzzy Systems, Journal of Uncertain Systems. She works as a member of Programme Committees of the most prestigious International Conferences and Congresses in the areas of soft computing, fuzzy and knowledge-based systems. She is well recognized as a plenary/invited speaker on various international conferences and congresses. For her long-term scientific achievements, she was awarded in the International Conference on Foundations and Applications of Computational Intelligence FLINS 2010. As a co-author of the software for Time Series forecast, she got a special price of the Seoul International Inventions Fair 2010.

Prof. (Dr). Ana Maria Madureira

Ana Madureira was born in Moçambique, in 1969. She got his BSc degree in Computer Engineering in 1993 from ISEP, master’s degree in electrical and computers engineering–Industrial Informatics, in 1996, from FEUP, and the PhD degree in Production and Systems, in 2003, from University of Minho, Portugal. She became IEEE Senior Member in 2010. She had been Chair of IEEE Portugal Section (2015-2017), Vice-chair of IEEE Portugal Section (2011-2014) and Chair/Vice-Chair of IEEE-CIS Portuguese chapter. She was Chair of University Department of IEEE R8 Educational Activities Sub-Committee (2017-2018). She was IEEE R8 Secretary (2019-2020). She is External Member Evaluation Committee of the Agency for Assessment and Accreditation of Higher Education - A3ES (Agência de Avaliação e Acreditação do Ensino Superior) for the scientific area of Informatics of Polytechnic Higher Education (2012- ). Currently she is Coordinator Professor at the Institute of Engineering– Polytechnic of Porto (ISEP/IPP) and Director of the Interdisciplinary Studies Research Center (ISRC). In the last few years, she was author of more than 150 scientific papers in scientific conference proceedings, journals, and books.

Prof. (Dr.) Virgilijus Sakalauskas

Virgilijus Sakalauskas is Full Professor of Informatics at Vilnius University, Lithuania. His current research interests include application of artificial intelligence methods in research of the financial and currency markets, e-banking, e-government, e-learning, evaluation of risk and management of knowledge exchange processes. Virgilijus Sakalauskas has experience as the program committee co-chair and organiser of the scientific workshops in conferences of ICCS 2006 (Reading, UK), Baltic DB&IS 2006 (Vilnius, Lithuania), EurOPT-2008 (Neringa, Lithuania), BIS2009 and BIS2011 (Poznan, Poland), KORDS-2009 (Vilnius, Lithuania), BIS2010 (Berlin, Germany), BIS2012 (Vilnius, Lithuania).

Prof. Dr. Namrata Agrawal

Prof. Namrata Agrawal, a Senior Professor (IT) at Arun Jaitley National Institute of Financial Management, Ministry of Finance, Government of India is a former faculty member of Motilal Nehru National Institute of Technology, Allahabad (presently NIT of U.P.). She has more than 31 years of teaching, research & consultancy experience. She has been awarded International Certificate from ‘Edinburgh Business School’, Heriot Watt University, Edinburgh (Scotland). She has published more than 50 research papers in refereed National and International journals listed/indexed in SCI, SCOPUS, EBSCO, IEEE, Springer and presented 60 papers in national and international conferences and has authored 7 bestselling books under Wiley Dream-Tech/Springer. Dr. Agrawal has guided several Ph.D. students. She is distinguished member of Editorial Board of the Inderscience Publishers Ltd. And Editor-in-Chief of Compusoft, a computer and engineering science journal. She is the Member of Advisory Board of “The Modern Technology and Management Institute, USA” and has International Membership of “Network of Asia Pacific Schools and Institutes of Pacific Administration and Governance” conceived and supported by ADB INTAN – Malaysia.

Dr. Agrawal is empaneled as an Expert with All India Council for Technical Education (AICTE). She has headed PGP /MBA courses of AJNIFM and has designed syllabus and taught various IT courses. She is resource person for Jawaharlal Nehru University Delhi, Management Development Institute, Gurugram, Indira Gandhi National Open University (IGNOU) Delhi, M.M.M. University of Technology (State University of U.P.), Banasthali Vidyapith (Rajasthan), Kota University and Kumaun University Nainital.

She has been actively associated with various consultancy assignments of various Ministries and associated with Royal Institute of Management, Government of Bhutan. She has conducted international programmes for University of Ljubljana (Europe), Asian Development Bank and ITEC programmes of M/o External Affairs. As Faculty Incharge (Foreign Collaborations), she has facilitated International MOUs of AJNIFM with Royal Institute of Public Administration London; Manchester Metropolitan University UK; Civil Service College London; Universiti Utara Malaysia Malaysia; Asian Institute of Management Philippines. She has a vast international exposure that includes USA, UK, Scotland, Europe, Singapore, UAE, Philippines, Malaysia, Nepal, Bhutan and Sri Lanka. Recently, Prof. Agrawal has designed syllabus of the courses such as - Data Analytics using Tableau & Advance Excel for M/o External Affairs (ITEC), Data Analytics & Use of ICT in Government (PG level), e-Commerce Course Development for IGNOU, Cyber Security jointly with NeGD M/o Electronics & IT, MBA Syllabus of USMS GGS Indraprastha University Delhi (Review & vetting). Prof. Agrawal is the member of the Expert Committee of M/o Electronics & IT (MeitY) to evaluate the ‘Cyber Surakshit Bharat Programme of India’. She was the member of the Jury Committee for National Awards on e-Governance (NAeG) 2020-21 and 2021-22, Department of Administrative Reforms & Public Grievances (DARPG), Government of India.

Prof. Santanu Chaudhury

Professor Chaudhury joined as Faculty Member in the Department of Electrical Engineering, IIT Delhi, in 1992. He was Dean, Under-Graduate Studies at IIT Delhi. He has served as Director of CSIR-CEERI, Pilani, during 2016-18. A Fellow of Indian National Academy of Engineers (INAE) and National Academy of Sciences (NAS). A Fellow of International Association Pattern Recognition (IAPR). He was awarded the INSA (Indian National Science Academy) Medal for Young Scientists in 1993. He received ACCS-CDAC award for his research contributions in 2012.

Publicatios

• Signature verification using multiple neural classifiers,R Bajaj, S Chaudhury,Pattern recognition 30 (1), 1-7
• Recognition of dynamic hand gestures,A Ramamoorthy, N Vaswani, S Chaudhury, S Banerjee,Pattern Recognition 36 (9), 2069-2081
• Text extraction and document image segmentation using matched wavelets and MRF model,S Kumar, R Gupta, N Khanna, S Chaudhury, SD Joshi,IEEE Transactions on Image Processing 16 (8), 2117-2128
• Devnagari numeral recognition by combining decision of multiple connectionist classifiers,R Bajaj, L Dey, S Chaudhury,Sadhana 27, 59-72
• Active recognition through next view planning: a survey,SD Roy, S Chaudhury, S Banerjee,Pattern Recognition 37 (3), 429-446
• Active recognition through next view planning: a survey,SD Roy, S Chaudhury, S Banerjee,Pattern Recognition 37 (3), 429-446

Prof. Brejesh Lall

He is the former head of Bharti School of Telcom Technology and Management, and the co-ordinator of two centers of excellence, viz. Airtel IIT Delhi Centre of Excellence in Telecommunications and Ericsson IIT Delhi 5G Center of Excellence. He is also the incharge of an IoT laboratory that he set up in collaboration with Samsung.

Publicatios

• Modeling and prediction of COVID-19 pandemic using Gaussian mixture model,A Singhal, P Singh, B Lall, SD Joshi,Chaos, Solitons & Fractals 138, 110023
• 6G for bridging the digital divide: Wireless connectivity to remote areas,A Chaoub, M Giordani, B Lall, V Bhatia, A Kliks, L Mendes, K Rabie,IEEE Wireless Communications 29 (1), 160-168
• Performance analysis of amplitude modulation schemes for diffusion-based molecular,communication,A Singhal, RK Mallik, B Lall,IEEE Transactions on Wireless Communications 14 (10), 5681-5691
• Large-scale 3d shape reconstruction and segmentation from shapenet core55,L Yi, L Shao,,M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke,arXiv preprint arXiv:1710.06104
• A 6G white paper on connectivity for remote areas,H Saarnisaari, S Dixit, MS Alouini, A Chaoub, M Giordani, A Kliks, arXiv preprint arXiv:2004.14699

Prof. Sumantra Dutta Roy

Dr. Roy is a Professor in the Department of Electrical Engineering, Indian Institute of Technology, Delhi. He has done his Ph.D. and M.Tech from IIT Delhi. He is awarded with BOYSCAST Fellowship, 2004 - 2005 by Department of Science and Technology, Government of India. His current research activity area is Medical Informatics, Biometrics: Fingerprint Analysis, Active 3-D Object Recognition, Tracking and Gesture Analysis, Image Mosaicing, Music Information Retrieval and Analysis, Bioinformatics: Protein Structure Analysis, Document Image Analysis, Parametric Video Coding, Facial Emotion Analysis

Publication

• High-accuracy detection of early Parkinson's disease through multimodal features and machine learningR Prashanth, SD Roy, PK Mandal, S Ghosh,International journal of medical informatics 90, 13-21
• Active recognition through next view planning: a surveySD Roy, S Chaudhury, S Banerjee,Pattern Recognition 37 (3), 429-446
• Automatic classification and prediction models for early Parkinson’s disease diagnosis from SPECT imagingR Prashanth, SD Roy, PK Mandal, S Ghosh,Expert Systems with Applications 41 (7), 3333-3342
• High-accuracy classification of parkinson's disease through shape analysis and surface fitting in 123I-Ioflupane SPECT imaging,R Prashanth, SD Roy, PK Mandal, S Ghosh,IEEE journal of biomedical and health informatics 21 (3), 794-802
• Early detection of Parkinson’s disease through patient questionnaire and predictive modelling,R Prashanth, SD Roy,International journal of medical informatics 119, 75-87

Dr. A.S. Mandal

Dr. A.S. Mandal is working as Chief Scientist in CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India. His research interests include Embedded VLSI Design, Computational Nuero-Vision, and Perception and Cognition Engineering. He is project leader for various projects in these areas. He delivered many invited talks in Indian Universities and Institutes on topics related to his research areas. He received his M. Tech. and Ph. D. from IIT Delhi, India.

Publications

• Area optimized FPGA-based implementation of the Sobel compass edge detector,S Singh AK Saini, R Saini, AS Mandal, C Shekhar, A Vohra,ISRN Machine Vision, Hindawi 2013 (Article ID 820216), 1-6
• Real-time implementation of change detection for automated video surveillance system,S Singh, AS Mandal, C Shekhar, A Vohra,ISRN Electronics, Hindawi 2013 (Article ID 691930), 1-5
• Design of a Fast and Efficient Hardware Implementation of a Random Number Generator in FPGA,R Saini, S Singh, AK Saini, AS Mandal, C Shekhar,ICAES 2013 - IEEE Proceedings: International Conference on Advanced Electronic Systems
• Moving object tracking using object segmentation,S Singh, SM Dunga, AS Mandal, C Shekhar, A Vohra,AICT 2010 - Springer Proceedings: International Conference on Advances in Information and Communication Technologies

Dr. Gaurav Harit

Dr. Gaurav Harit is an Assistant Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Jodhpur. He joined IIT Jodhpur in July 2010. Prior to joining IIT Jodhpur, he served as an Assistant Professor in the Department of Computer Science and Engineering of IIT Kharagpur. I received my M.Tech. and PhD degrees from IIT Delhi in 2001 and 2007, respectively.

Publications

• A survey on optical character recognition for Bangla and Devanagari scripts,S Bag, G Harit,Sadhana 38, 133-168
• Identification of scripts of Indian languages by Combining trainable classifiers,S Chaudhury,G Harit, S Madnani, RB Shet,Proc. of ICVGIP
• Nearest neighbour classification of Indian sign language gestures using kinect camera,ZA Ansari, G Harit,Sadhana 41, 161-182
• Recognition of Bangla compound characters using structural decomposition,S Bag, G Harit, P Bhowmick,Pattern Recognition 47 (3), 1187-1201
• Table detection in document images using header and trailer patterns,G Harit, A Bansal,Proceedings of the Eighth Indian Conference on Computer Vision, Graphics.

Prof. Thomas Buchert

Prof. Buchert currently holds a professorship (exceptional class) at the University Claude Bernard Lyon 1 in France. For the period 2017-2023 he received the prestigious ERC advanced Grant from the European research council, where the idea was to explore inhomogeneities in general relativity beyond the standard cosmological model through a synergistic theoretical and data driven research. As a spin-out project he is recently interested in foundational aspects of general-relativistic accelerated motions related to warp-drive mechanisms and emerging technologies with their impact on the human civilization.

He worked as Research Associate at MPA (Max-Planck-Institute forAstrophysics), Garching, Germany, in the period 1984-1995 during which he obtained his Master degree and his Ph.D. in Theoretical Physics at Munich University (LMU) (1988). During the period 1988-1994 he took several short-term visiting positions in Europe, e.g. at Nordita, Copenhagen, the Observatory of Paris, and the University of Valencia, being Member of the European Cosmology Network. His research was focussed on cosmological structure formation theories, where the heart of this work was defined within a five years project of the DFG (German Science Foundation) `Schwerpunkt Kosmische Plasmen' leading to his Habilitation degree in Astronomy at the LMU (1994). He organized exchange projects with France and Spain and was active in the MPA exchange with the Chinese Academy of Sciences. In 1995 he obtained the degree Privatdozent at LMU. Since then until 2006 he worked as Research Associate at LMU and TUM (Technical University Munich), and as a Lecturer at LMU. During that time he was leading a research group at the LMU as Project Representative of the SFB 375 on morphological statistics of cosmic structure together with Herbert Wagner. From 1998 he took several long-term visiting positions as Associated Member of Personnel at CERN, Geneva, as Tomalla Visiting Professor at University of Geneva, as Center of Excellence Researcher at the National Astronomical Observatory in Tokyo, and as Monkasho Invited Professor at the University of Tokyo (Research Center for the Early Universe), during which he also worked as Visiting Professor at Tohoku University in Sendai, and the Tokyo Institute of Technology. During the summer term 2006 he took a temporary Chair position at Bielefeld University. He regularly works at the Observatory of Paris, being - from September 2007 - Staff Member at the Observatory of Lyon, and Professor of Cosmology at the University Claude Bernard Lyon 1, being involved in the Master Programme at École Normale Supérieure, Lyon. In the period 2010-2016 he was head of the GALPAC team comprising 27 researchers at CRAL (covering galaxy physics, simulations, instrumentation projects and theoretical cosmology), as well as PI of the Lyon CRAL-IPNL collaboration (Dark Energy and Dark Matter: theory and experiments).

Some key publications:

• Buchert T., Delgado Gaspar I., Ostrowski J.J.: On general-relativistic Lagrangian perturbation theory and its non-perturbative generalization. Universe 8, 583 (2022)
• Buchert T., Mourier, P., Roy, X.: On average properties of inhomogeneous fluids in general relativity III: general fluid cosmologies. Gen. Rel. Grav. 52, 27 (2020)
• Buchert T.: Dark Energy from structure : a status report. Gen. Rel. Grav. 40, 467 (2008)
• Buchert T.: On average properties of inhomogeneous fluids in general relativity : dust cosmologies. Gen. Rel. Grav. 32, 105 (2000)
• Mecke K.R., Buchert T., Wagner H.: Robust morphological measures for large–scale structure in the Universe. Astron. Astrophys. 288, 697 (1994)

Prof. Anurag Agrawal

Professor Anurag Agrawal is Dean, BioSciences and Health Research, Trivedi School of Biosciences, Ashoka University, India, and former director of the Institute of Genomics and Integrative Biology, a national laboratory of CSIR, India. After completing graduate medical education at the All India Institute of Medical Sciences, Delhi, he further trained in Internal Medicine, Pulmonary Disease and Critical Care at Baylor College of Medicine, Houston, USA, followed by a PhD in Physiology from Delhi University. His primary research is in respiratory biology and broader interests are in a new vision of health and healthcare seen through the lenses of emerging technologies. He serves on numerous national and global advisory groups, recently chairing the World Health Organization technical advisory group for SARS CoV2 viral evolution, the Lancet-Financial Times commission for governing digital health futures, and serving on the pandemic preparedness subgroup at the Global Partnership for Artificial Intelligence. He received the Shanti Swaroop Bhatnagar Prize in 2014, the Sun Pharma Foundation award in 2020, and is a fellow of the Indian national science and medical academies.