Aizan Zafar | Computer Science | Best Researcher Award

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🌟Mr. Aizan Zafar, Computer Science, Best Researcher Award 🏆

  • Aizan Zafar at Indian Institute of Technology Patna, India

Aizan Zafar is a dedicated Ph.D. scholar with a passion for advancing knowledge in the field of Natural Language Processing (NLP) and Artificial Intelligence (AI). With a strong background in Information Technology, Aizan has pursued higher education at prestigious institutions like the Indian Institute of Technology Patna and the University of Hyderabad. Their research focuses on developing innovative solutions for Medical Question Answering and Dialogue Systems, aiming to improve healthcare communication and accessibility. Aizan’s academic journey reflects a commitment to excellence, evident in their published research papers and active participation in workshops and conferences. Their collaborative nature and leadership skills have earned them recognition in both academic and professional spheres.

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Aizan Zafar’s contributions to the field of NLP and AI are notable, with a track record of published papers in reputed journals and conferences. Their author metrics reflect the impact of their research, including citation counts, h-index, and other relevant metrics. These metrics serve as quantitative measures of Aizan’s scholarly output and influence within the academic community, highlighting their role as a significant contributor to the advancement of knowledge in their field.

  • Citations: A total of 10 citations across 9 documents.
  • Documents: Aizan Zafar has authored 5 documents.
  • h-index: 2

Education

Aizan Zafar’s educational journey underscores a commitment to academic excellence and intellectual growth. They hold a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, where they are currently pursuing research in NLP. Prior to this, Aizan completed their M.Tech. in Information Technology at the University of Hyderabad, specializing in Machine Learning. Their academic background also includes a B.Tech. in Information Technology from Guru Ghasidas Central University, Chhattisgarh. Throughout their educational endeavors, Aizan has demonstrated a strong aptitude for research and a passion for pushing the boundaries of knowledge in their chosen field.

Research Focus

Aizan Zafar’s research primarily revolves around Natural Language Processing (NLP) and its applications in healthcare and conversational AI. Their work focuses on developing advanced algorithms and models for Medical Question Answering and Dialogue Systems. By leveraging techniques such as knowledge graphs and deep learning, Aizan aims to enhance the understanding and generation of medical text, ultimately improving patient care and medical information accessibility. Their research also delves into areas like generative AI and machine learning, reflecting a broad interest in pushing the boundaries of AI technology.

Professional Journey

Aizan Zafar’s professional journey is characterized by a strong commitment to research and academia. As a Ph.D. scholar at the Indian Institute of Technology Patna, they have been actively involved in cutting-edge research projects and collaborations. Their role as a Teaching Assistant and Project Research Scholar has allowed them to mentor and guide students while contributing to the academic community. Prior to their Ph.D., Aizan gained valuable experience as an M.Tech. student at the University of Hyderabad, where they conducted research on clustering algorithms and served as a Teaching Assistant in various IT subjects.

Honors & Awards

Throughout their academic and professional journey, Aizan Zafar has received recognition for their outstanding achievements and contributions to the field of Computer Science and Engineering. Their honors and awards underscore their dedication to excellence and their significant impact on research and scholarship. These accolades serve as a testament to Aizan’s intellectual prowess and their potential to make significant contributions to the advancement of knowledge in their field.

Publications Noted & Contributions

Aizan Zafar’s contributions to academia are evident through their notable publications in esteemed journals and conferences. Their research papers cover a wide range of topics in NLP, AI, and healthcare, addressing critical issues such as Medical Question Answering, Dialogue Systems, and Knowledge Graphs. These publications reflect Aizan’s expertise in developing innovative solutions to complex problems, as well as their ability to communicate research findings effectively to the academic community. Their contributions have made a significant impact on advancing the state-of-the-art in NLP and AI, with potential applications in healthcare, education, and beyond.

Knowledge grounded medical dialogue generation using augmented graphs

  • Authors: D Varshney, A Zafar, NK Behera, A Ekbal
  • Published in: Scientific Reports, Volume 13 (1), Page 3310, 2023
  • Citations: 9

Knowledge graph assisted end-to-end medical dialog generation

  • Authors: D Varshney, A Zafar, NK Behera, A Ekbal
  • Published in: Artificial Intelligence in Medicine, Volume 139, Page 102535, 2023
  • Citations: 8

Novel Initialization Strategy for K-modes Clustering Algorithm

Authors: A Zafar, K Swarupa Rani

Published in: Proceedings of International Conference on Big Data, Machine Learning and …, 2021

Citations: 3

KI-MAG: A knowledge-infused abstractive question answering system in the medical domain

  • Authors: A Zafar, SK Sahoo, H Bhardawaj, A Das, A Ekbal
  • Published in: Neurocomputing, Volume 571, Page 127141, 2024
  • Citations: 1

Cdialog: A multi-turn COVID-19 conversation dataset for entity-aware dialog generation

  • Authors: D Varshney, A Zafar, NK Behera, A Ekbal
  • Published in: arXiv preprint arXiv:2212.06049, 2022
  • Citations: 1

Research Timeline

Aizan Zafar’s research timeline provides a chronological overview of their academic and professional endeavors in the field of Computer Science and Engineering. It highlights key milestones such as their enrollment in Ph.D. and M.Tech. programs, participation in workshops and conferences, and the publication of research papers. This timeline serves as a roadmap of Aizan’s research journey, illustrating their progression from a student to a seasoned researcher, and their ongoing commitment to advancing knowledge in their chosen field.

Collaborations and Projects

Aizan Zafar has actively engaged in collaborative research projects aimed at addressing real-world challenges in healthcare, education, and other domains. Their involvement in projects such as Sevak (an Intelligent Indian Language Chatbot) and PERCURO (a holistic solution for clinical text) highlights their interdisciplinary approach to research and their ability to work in diverse teams. Through these collaborations, Aizan has contributed to the development of innovative solutions and technologies with the potential to impact society positively. Their projects demonstrate a commitment to applying cutting-edge research to solve practical problems and improve people’s lives.

Anton Abdulbasah Kamil | Applied Statistics | Best Researcher Award

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🌟Prof. Anton Abdulbasah Kamil, Applied Statistics, Best Researcher Award🏆

  •  Professor at Istanbul Gelisim University, Turkey

Anton Abdulbasah Kamil, an Indonesian national born on September 4, 1964, is a distinguished academic and researcher specializing in applied statistics, econometrics, and operations research. With a diverse educational background spanning institutions in Indonesia and the Czech Republic, Kamil has held numerous professional appointments in academia and government agencies across different countries, including Indonesia, Turkey, and the Czech Republic. He is fluent in multiple languages, including Sunda, Indonesian, Malay, English, and Czech.

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Abdulbasah Kamil, also known as Anton Abdulbasah Kamil, has acquired a significant number of documents and citations, reflecting his substantial contributions to the academic literature. His work has been cited over 600 times across 105 documents, resulting in an h-index of 15. These metrics indicate the impact and influence of his research within his field of expertise.

  • Citations: 617 citations by 575 documents
  • Documents: 105
  • h-index: 15

Education:

Kamil’s academic journey includes obtaining a Drs. in Statistics from Padjadjaran University, an M.S. in Applied Statistics from Bogor Agricultural University, and a Dr. in Econometrics & Operations Research from the University of Economics, Prague. His educational background underscores his expertise in statistical analysis and econometric modeling, providing a solid foundation for his subsequent research and professional endeavors.

Research Focus:

Throughout his career, Kamil has demonstrated a keen interest in various aspects of applied statistics, econometrics, and operations research. His research spans diverse topics such as econometric modeling of industries, portfolio analysis, hierarchical organization management, and statistical quality control. This multidisciplinary approach reflects Kamil’s commitment to addressing real-world challenges through rigorous quantitative analysis and innovative methodologies.

Professional Journey:

Kamil’s professional journey encompasses a range of roles and responsibilities, including lecturer positions at several academic institutions, economic staff at diplomatic missions, and leadership roles within research institutes. His career trajectory has taken him from Indonesia to international settings such as the Czech Republic, Malaysia, and Turkey, where he has contributed significantly to academic programs, research initiatives, and institutional development.

Honors & Awards:

Kamil’s contributions to the field have been recognized through various honors and awards, although specific details regarding these accolades are not provided in the available information. Nevertheless, his achievements likely include academic distinctions, research grants, and institutional recognition for his scholarly endeavors and professional contributions.

Publications Noted & Contributions:

Kamil has made notable contributions to the academic literature through his publications, including journal articles and theses. His research output encompasses a wide range of topics, such as econometric modeling of industries, portfolio analysis, and mathematical economics. These publications serve to disseminate his findings, advance knowledge in his field, and contribute to the academic discourse surrounding statistical analysis and quantitative methods.

“Physio-Psychosocial Risk of Depression among College-Going Adolescents: A Cross-Sectional Study in Bangladesh”

  • Journal: Journal of Affective Disorders Reports
  • Date: 2024-03
  • DOI: 10.1016/j.jadr.2024.100768
  • Contributors: Md Abu Bakkar Siddik; Morioum Sarkar Munmun; Nafiul Hasan; Md. Khalid Syfullah; Al Mahmud; Akher Ali; Liza Bosak; Shanjida Chowdhury; Anton Abdulbasah Kamil; Mohammad Meshbahur Rahman

“Prevalence and Associated Factors Related to Tobacco Consumption Among University Students in Malaysia”

  • Journal: Health Psychology Research
  • Date: 2024-03-09
  • DOI: 10.52965/001c.94232
  • Contributors: Chui Yi Chow; Md Zobaer Hasan; Anton Abdulbasah Kamil

“Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model”

  • Journal: Bioengineering
  • Date: 2023-11-15
  • DOI: 10.3390/bioengineering10111318
  • Contributors: Noor Ilanie Nordin; Wan Azani Mustafa; Muhamad Safiih Lola; Elissa Nadia Madi; Anton Abdulbasah Kamil; Marah Doly Nasution; Abdul Aziz K. Abdul Hamid; Nurul Hila Zainuddin; Elayaraja Aruchunan; Mohd Tajuddin Abdullah

“Risk-Return Based Performance Evaluation of Stocks in BIST 100 and KOMPAS 100 Indices of Borsa Istanbul and Indonesian Stock Exchange”

  • Journal: Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration
  • Date: 2021-05-15
  • DOI: 10.46585/sp29021283
  • Contributors: Husseyin Ocal; Anton Abdulbasah Kamil

“Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones”

  • Journal: Applied Computational Intelligence and Soft Computing
  • Date: 2021-03-05
  • DOI: 10.1155/2021/6665959
  • Contributors: Endang Chumaidiyah; Mouli De Rizka Dewantoro; Anton Abdulbasah Kamil; Mehdi Keshavarz-Ghorabaee

Kamil’s research timeline reflects a trajectory of continuous scholarly activity and intellectual engagement spanning several decades. From the completion of his doctoral studies in the late 1990s to his current professorial appointments in Turkey, Kamil has consistently pursued research endeavors, published his findings, and contributed to the advancement of his field through teaching, mentoring, and academic leadership.

Collaborations and Projects:

Throughout his career, Kamil has engaged in collaborative research projects and academic partnerships, both domestically and internationally. These collaborations have facilitated knowledge exchange, interdisciplinary research endeavors, and the dissemination of research findings across borders. Kamil’s involvement in collaborative initiatives underscores the importance of teamwork, networking, and cross-cultural collaboration in advancing scientific inquiry and academic scholarship.