Kuntal Ghosh | Reseach and Development | Best Researcher Award

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Kuntal Ghosh | Reseach and Development | Best Researcher Award

Mr Kuntal Ghosh CSIR-Central Glass and Ceramic Research Institute (CSIR-CGCRI), India

He currently serves as a Senior Research Fellow (INSPIRE DST Fellow) at the Energy Materials and Devices Division of CSIR-Central Glass and Ceramic Research Institute, where he focuses on developing All Solid-State Lithium Batteries using Novel Electrolytes under the guidance of Dr. Mir Wasim Raja. Previously, he conducted research on raindrop-size distribution during the Southwest Monsoon at Bose Institute in Kolkata, West Bengal, India, during a summer training program supervised by Dr. Sanat Kumar Das. These experiences have equipped him with valuable skills and expertise in the fields of materials science and environmental science.

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Education:

He is currently serving as a Senior Research Fellow (INSPIRE DST Fellow) at the Energy Materials and Devices Division (formerly FCBD) of CSIR-Central Glass and Ceramic Research Institute since October 2022. Under the guidance of Dr. Mir Wasim Raja, he is dedicated to the development of All Solid-State Lithium Batteries using Novel Electrolytes. Prior to this role, he held the position of Junior Research Fellow (INSPIRE DST Fellow) at the same division from October 2020 to October 2022, also under the supervision of Dr. M.W. Raja. Concurrently, he is pursuing his PhD at Jadavpur University since March 2022, focusing on the same topic of developing All Solid-State Lithium Batteries using Novel Electrolytes. He holds a Master of Science (M.Sc.) in Physics with a specialization in Condensed Matter Physics from Banaras Hindu University and a Bachelor of Science (B.Sc.) in Physics Hons. from Mohsin College. His academic journey began with Higher Secondary (H.S.) and Secondary (Madhyamik) education in Science from Puinan High School and Gossain Mali Para High School, respectively, both in West Bengal, India. His academic achievements and research endeavors reflect his dedication and passion for advancing the field of energy materials and devices.

Experience:

For his dissertation project, he collaborated with Dr. R. S. Tiwari, a Professor in the Department of Physics at Banaras Hindu University in Varanasi, Uttar Pradesh, India. The project centered around the hydrothermal synthesis of tungsten oxide nanostructures, emphasizing experimental techniques to fabricate and characterize these materials. This endeavor allowed him to delve into the realm of nanotechnology, exploring novel methods for the production of nanostructured materials with potential applications in various fields. Through these experiences, he honed his research skills, gained practical knowledge, and contributed to advancements in the respective domains under the guidance of esteemed mentors.

Publications:

  1. Facile Li-ion transport in microstructurally engineered hybrid LLZO electrolyte for application in pseudo-solid state lithium metal batteries Published By : 2024

  2. Engineered Li7La3Zr2O12 (LLZO) for Pseudo-Solid-State Lithium Metal Batteries (SSLMBs): Tailor-Made Synthesis, Evolution of the Microstructure, Suppression of Dendritic Growth, and Enhanced Electrochemical Performance Cited By : 1,Ā  Published By : 2023

  3. Ga-Doped LLZO Solid-State Electrolyte with Unique plate-like Morphology Derived from Water Hyacinth (Eichhornia crassipes) Aquatic Weed: Waste to Wealth Conversion Cited By : 6,Ā  Published By : 2022

Manikandan Sathianarayanan | Disaster studies | Best Researcher Award

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Manikandan Sathianarayanan | Disaster studies | Best Researcher Award

Mr Manikandan Sathianarayanan National Taiwan University, Taiwan

He is currently a doctoral student in Civil Engineering at National Taiwan University in Taipei, focusing on advanced studies in his field since 2018. Previously, he earned his Master of Technology degree in Remote Sensing from Anna University, Tiruchirapalli, India, completing the program from 2008 to 2010. With a diverse professional background, he has served as a Lecturer at Adama Science and Technology University in Ethiopia and as an Assistant Professor at Vel Tech Engineering College in India. Additionally, he has industry experience as a GIS Analyst at EDR Continuous Information Pvt Ltd in Chennai, India, from 2010 to 2011.

Education:

Since 2018, he has been a doctoral student in Civil Engineering at National Taiwan University in Taipei, where he is pursuing advanced studies in his field. Prior to this, he obtained his Master of Technology degree in Remote Sensing from Anna University, Tiruchirapalli, India, completing the program from 2008 to 2010. Continuing his academic journey, he earned a Master of Science degree in Physics from Alagappa University, India, between 2004 and 2006. He began his undergraduate studies at Madurai Kamaraj University, India, where he obtained a Bachelor of Science degree in Physics from 2001 to 2004. Through his academic pursuits, he has demonstrated a dedication to learning and a commitment to advancing his knowledge in various aspects of engineering and science.

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Experience:

He has a diverse professional background, combining both academic and industry experience. From 2015 to 2017, he served as a Lecturer at Adama Science and Technology University in Adama, Ethiopia, where he imparted knowledge and expertise to students. Prior to that, from 2011 to 2014, he worked as an Assistant Professor at Vel Tech Engineering College in Tamil Nadu, India, contributing to the academic development of aspiring engineers. In addition to his academic roles, he also has industry experience, having worked as a GIS Analyst at EDR Continuous Information Pvt Ltd in Chennai, India, from 2010 to 2011. During this time, he was involved in projects such as 3D Building Extraction and Lidar Point Classification. Prior to that, in 2010, he worked as a GIS Analyst at Empower Consultancy in Chennai, India, where he contributed to projects involving cluttering and GPS data collection. With his combined academic and industry expertise, he brings a wealth of knowledge and practical experience to his professional endeavors.

Achievements:

He participated in several Kaggle-InClass prediction competitions in late 2019, showcasing his skills in machine learning and data analysis. In November 2019, he tackled the challenge of seismic capability evaluation for school buildings, where he utilized Support Vector Machine (SVM) algorithms. Despite the tough competition, he ranked 80 among 96 individuals, placing in the top 84%. In December 2019, he shifted his focus to steel number detection, employing transfer learning with ResNet50 to predict the number of rebars in images. His efforts paid off, securing a ranking of 16 among 31 teams, putting him in the top 52%. In the same month, he took on the damage state classification challenge, once again leveraging transfer learning with ResNet50. His performance was outstanding, earning him a ranking of 20 among 32 teams, placing him in the top 20%. Through these competitions, he demonstrated his proficiency in machine learning techniques and his ability to tackle complex real-world problems with innovative solutions.

Publications:

  1. ASSESSMENT OF SURFACE WATER DYNAMICS USING MULTIPLE WATER INDICES AROUND ADAMA WOREDA, ETHIOPIA Cited By : 13, Published By : 2018Ā 
  2. Spatial and Temporal Dynamics of Urban Sprawl Using Multi-temporal Images and Relative Shannon Entropy Model in Adama, Ethiopia Cited By : 9, Published By : 2019
  3. Spatial Downscaling of Gpm Imerg V06 Gridded Precipitation Using Machine Learning Algorithms Cited By : 2, Published By : 2023
  4. A Geospatial Approach to Interlink Seasonal Reservoirs to Mitigate Drought at Micro-Level in Sivaganga Taluk, Tamil NaduĀ Ā  Cited By : 1
  5. Intercomparison between sentinel-1, sentinel-2, and landsat-8 on reservoir water level estimation Published By : 2023
  6. Investigating the performance of bias correction methods on long term satellite based monthly estimates (TRMM 3B43) over TaiwanĀ Ā  Published By : 2022
  7. Impact of Urbanization on Land Surface Temperature Using Deep Learning Approach Published By : 2019
  8. IMPACT OF URBANIZATION ON LAND SURFACE TEMPERATURE USING DEEP LEARNING APPROACH Published By : 2019
  9. A GEOSPATIAL APPROACH TO INTERLINK SEASONAL RESERVOIRS TO MITIGATE DROUGHT AT MICRO-LEVEL IN SIVAGANGA TALUK, TAMIL NADU Published By : 2017
  10. Village Wise Drought Mitigation Measures-A Case Study Using Remote Sensing and GIS in Sivaganga Taluk Published By : 2013

Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

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Guangxia Xu | Machine learning, recommendation algorithm, blockchain, big data, network information security | Member

Prof Guangxia Xu Guangzhou University, China

Engaged in research on big data security and intelligent analysis, network security and control, and blockchain technology and applications. Holds a bachelor’s degree in computer applications, master’s degree in software engineering, and Ph.D. in computer science and technology from Chongqing University, with a postdoctoral fellowship from Chongqing University’s Communication and Information Engineering. Currently a professor at Chongqing University of Posts and Telecommunications, she serves as the Executive Deputy Director of the Chongqing Engineering Laboratory for Network and Information Security Technology and the Chongqing Key Laboratory of Cyberspace and Information Security. A senior member of the China Computer Federation (CCF), member of the Blockchain Special Committee, ACM member, and IEEE senior member. Expert evaluator for the National Natural Science Foundation, the Ministry of Science and Technology, and various institutions in Chongqing. Over the past decade, she has led numerous national and provincial research projects, published extensively, and holds multiple patents.

Education:

She is a distinguished female academic born in 1974, holding a Ph.D., professorship, and serving as a doctoral supervisor. She is recognized as a leading talent in technological innovation in Chongqing, China. Her expertise lies in the research areas of big data security and intelligent analysis, network security and management, and blockchain technology and applications. She earned her Bachelor’s degree in Computer Applications, Master’s degree in Software Engineering, and Ph.D. in Computer Science and Technology from Chongqing University. She also completed her postdoctoral research in Communication and Information Engineering at Chongqing University. As an accomplished scholar, she has enriched her research experience as a visiting scholar at Stevens Institute of Technology in the United States, focusing on big data analytics. Currently, she holds the position of Professor in the Software School at Chongqing University of Posts and Telecommunications. Additionally, she serves as the Executive Deputy Director of the Engineering Laboratory for Network and Information Security Technology and the Key Laboratory of Network Space and Information Security in Chongqing Municipality. Moreover, she leads the innovation team responsible for big data security and intelligent analysis technology in Chongqing Municipality.

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Experience :

She is a senior member of the China Computer Federation (CCF) with membership number 33651M and a member of the Blockchain Special Committee. Additionally, she is an ACM member with membership number 4577936 and an IEEE senior member with membership number 95603944. She serves as an expert evaluator for the National Natural Science Foundation and the Ministry of Science and Technology, as well as a project review expert for various institutions in Chongqing. She holds leadership positions in several organizations, including Vice Chairman of the Chongqing Information Security Association and Vice Chairman of the Chongqing Blockchain Alliance. She also contributes as a reviewer for prestigious journals such as IEEE Internet of Things, ACM Computing Surveys, and Digital Communications and Networks. Moreover, she is actively involved in conference organization, serving as the General Chair of ICBCTIS2021 (International Conference on Blockchain Technology and Information Security) and as a Program Committee Member for various workshops and conferences in the field of cybersecurity and data science.

Publications:

  1. SDN-based data transfer security for Internet of Things Cited By : 119, Published By : 2017
  2. Improvement of the DPoS consensus mechanism in blockchain based on vague sets Cited By : 104, Published By : 2019
  3. A survey for mobility big data analytics for geolocation prediction Cited By : 73, Published By : 2016
  4. A social emotion classification approach using multi-model fusion Cited By : 58, Published By : 2020
  5. Cross-domain sentiment aware word embeddings for review sentiment analysis Cited By : 43, Published By : 2021
  6. A collaborative filtering recommendation algorithm based on user confidence and time context Cited By : 41, Published By : 2019
  7. A certificateless signcryption mechanism based on blockchain for edge computing Cited By : 37, Published By : 2022
  8. A blockchain-empowered federated learning in healthcare-based cyber physical systems Cited By : 29, Published By : 2022
  9. Fixed degree of decentralization DPoS consensus mechanism in blockchain based on adjacency vote and the average fuzziness of vague value Cited By : 29, Published By : 2021
  10. UAVā€™s agricultural image segmentation predicated by clifford geometric algebra Cited By : 29, Published By : 2019

 

Mehtab Afzal | Information Security | Member

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Mehtab Afzal | Information Security | Member

Assoc Prof Dr Mehtab Afzal University of Lahore – Defence Road Campus: The University of Lahore – New Campus, Pakistan

Dr.Ā MehtabĀ Afzal, received the M.S. degree in Computer Science from COMSATS University Islamabad, Abottabad campus, Pakistan, in 2009 and the Ph.D. degree from Southwest Jiotong University Chengdu, Sichuan, China in 2016. He was a Research Associate in the Department of Computer Science and IT, COMSATS University Islamabad, Abottabad campus, Pakistan, from 2007 to 2009 and Lecturer with the Department of Computer Science, Gujrat University, Gujrat, Pakistan, from 2009 to 2010. He is currently an Associate Professor with the Department of Computer Science, The University of Lahore, Lahore, Pakistan. He has authored several research papers in international journals/conferences, such as the Knowledge-based systems (Elsevier), Neurocomputing (Elsevier), International Journal of Communication Systems (Wiley), International Conference on Multiple Classifiers Systems (Springer), etc. He also published couple of books with Lambert Academic Publishing, Germany. He has been serving as a Reviewer for several journals/conferences, including Multimedia Systems (Springer), Computers and Electrical Engineering (Elsevier), Knowledge-based Systems (Elsevier), etc. He is also a General Chair of the 4th International Conference on Advancements in Computational Sciences (ICACSā€™23). His research interests include multimedia information retrieval, computer vision and big data.

Education:

He completed his PhD in Computer Applied Technology at Southwest Jiaotong University in Chengdu, Sichuan, China, from 2010 to 2016. Prior to that, he pursued his Master of Science in Computer Science at COMSATS University Islamabad, Abbottabad Campus, Pakistan, from 2007 to 2009. His academic journey began with a Bachelor of Science in Computer Science from Allama Iqbal Open University in Islamabad, which he pursued from 2000 to 2004 at Paramount College of Computer Science in Wah Cantt. Throughout his educational pursuits, he has demonstrated a strong commitment to advancing his knowledge and expertise in the field of computer science.

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Experience:

He has held various academic positions throughout his career, starting as a Lecturer at Allama Iqbal Open University in Islamabad from 2005 to 2007, where he taught undergraduate courses. He then moved to the University of Gujrat in 2009-2010 as a Lecturer, continuing to teach undergraduate level courses. Subsequently, he joined the University of Lahore in 2016 as an Assistant Professor, where he taught courses and supervised thesis work at both undergraduate and postgraduate levels until 2022. Currently, he serves as an Associate Professor at the University of Lahore, where he holds the position of Conference General Chair for the ICACS23 conference and is a member of the Board of Studies.

Publications:

  1. Web Video Categorization using Category-Predictive Classifiers and Category-Specific Concept Classifiers Cited By : 7, Published By : 2016
  2. Web Video Classification with Visual and Contextual Semantics Cited By : 4, Published By : 2019
  3. Semi-supervised Evolutionary Ensembles for Web Video Categorization Cited By : 19, Published By : 2015
  4. A Base Level Ontology for Disaster Management Published By : 2017
  5. Detection of Imposter and Tampered Segments in Audio Recording using as Intelligent SystemĀ Cited By : 2, Published By : 2021Ā 
  6. GA-IRACE: Genetic Algorithm-Based Improved Resource Aware Cost-Efficient Scheduler for Cloud Fog Computing EnvironmentĀ  Published By : 2022
  7. ROCA: Auto-ResolvingOverlapping and Conflicts in ACL Policies for SDN. Published By : 2021
  8. Energy-Efficient Collaboration-BasedContent Sharing Strategy inDevice-to-Device Communication. Published By : 2021
  9. Extraction of opinion targets using syntactic rules in Urdu text Published By : 2021
  10. A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation Published By : 2021