Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

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Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.

 

Dr. Amod Kumar | Animal Genetics | Best Researcher Award

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Dr. Amod Kumar | Animal Genetics | Best Researcher Award

Scientist at Animal Genetics, ICAR- National Bureau of Animal Genetic Resources, India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Amod Kumar completed his Doctor of Philosophy (PhD) in Animal Genetics & Breeding from the Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India, from 2012 to 2015, with a focus on Animal Genetics & Breeding, Poultry Science, and Biostatistics, achieving a CPI of 8.21/10. His thesis was titled “Differential Gene Expression Profiling in PBMCs Challenged with Theileria annulata in Crossbred and Indigenous Cattle.” Prior to his PhD, he earned a Master of Veterinary Science (M.V.Sc.) in Animal Genetics & Breeding from the same institute from 2010 to 2012, with a CPI of 8.25/10. His thesis focused on the “Relative Quantification of Pulmonary miRNAs Downregulated in Chicken during Avian Influenza Virus Infection and Functional Annotation of their Target Genes.” Dr. Kumar began his academic journey with a Bachelor of Veterinary Science & Animal Husbandry (B.V.Sc & A.H.) from CSK Himachal Pradesh Agricultural University, Palampur, Himachal Pradesh, India, from 2005 to 2010, where he majored in Veterinary Science and Animal Husbandry, achieving a CPI of 6.87/10. This degree is equivalent to a Doctor of Veterinary Medicine (DVM). 🎓

Amod Kumar Taghvaee ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 228, Since 2018: 172
  • Citations: 228 (All), 172 (Since 2018)
  • h-index:  10 (All), 08 (Since 2018)
  • i-10index: 10 (All), 06 (Since 2018

These metrics showcase the impact of Kumar ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Professional Experience:

Dr. Amod Kumar has held several significant positions in the field of animal research and virology in India. Since November 2019, he has been serving as a Scientist at the ICAR-National Bureau of Animal Genetic Resources in Karnal, Haryana, India. Prior to this role, from October 2018 to November 2019, he worked as a Scientist at the ICAR-Central Institute for Research on Cattle in Meerut, Uttar Pradesh, India. His expertise also includes a position as a Research Scientist-II at the Regional Virology Lab, All India Institute of Medical Sciences in Bhopal, Madhya Pradesh, India, from November 2016 to June 2018. Dr. Kumar began his career as a Research Associate at the Indian Veterinary Research Institute in Mukteshwar, Uttarakhand, India, where he worked from September 2015 to October 2016. 🧪🔬🐄

Achievements 🏆:

In 2023, Dr. Amod Kumar received the Best Poster presentation award for his work on ‘Genome-wide Runs of Homozygosity Reveals Selection Signatures and Inbreeding in Indian Milch Cattle Breeds’ at the National Conference organized by ISAGB and ICAR-NBAGR, Karnal. He also won the Best Poster presentation award for his research on ‘Deciphering the Role of Shutdown Chicken Pulmonary miRNA during Highly Pathogenic Avian Influenza (H5N1) Infection’ at the same event. Earlier, in 2019, he was honored with the Best Oral presentation award for his work on ‘Differential miRNA Expression Profiling of HPAIV H5N1 Infected Chicken Lungs Reveals Critical Biological Pathways Involved in the Molecular Pathogenesis’ at a National Conference organized by ICAR-Central Institute for Research on Cattle, Meerut, India. Additionally, his research on ‘miRNA Profiling of Categorized Frieswal Crossbred Bull Spermatozoa’ earned him the Best Poster presentation award at another National Conference organized by ICAR-Central Institute for Research on Cattle, Meerut. In 2016, he received the Best Paper Award at a Global Symposium organized by IAVMI for his work on ‘Transcriptome Analysis of Host and Bacterial Genes in Pasteurella Multocida Infected Mice Model’. During the same year, he was honored with the Dr. S.S. Prabhu Award for Best PhD Thesis during the IX Convocation held at the Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India. Dr. Kumar’s academic pursuits were supported by an Institutional fellowship from the Indian Veterinary Research Institute during his PhD (2012-2015) and a Junior Research Fellowship from the Indian Council of Agricultural Research during his M.V.Sc. (2010-2012).

Professional Memberships:

  • Life member, Society for Conservation of Domestic Animal Biodiversity, India
  • Life member, Veterinary Council of India
  • Life member, Indian Society of Animal Genetics and Breeding

Publications:

The mRNA expression of immune-related genes in crossbred and Tharparkar cattle in response to in vitro infection with Theileria annulata

P Dewangan, M Panigrahi, A Kumar, BC Saravanan, S Ghosh, VNM Asaf, …

Molecular biology reports 42, 1247-1255 (2015) 📚

Global gene expression profile of peripheral blood mononuclear cells challenged with Theileria annulata in crossbred and indigenous cattle

A Kumar, GK Gaur, RK Gandham, M Panigrahi, S Ghosh, BC Saravanan, …

Infection, Genetics and Evolution 47, 9-18 (2017) 🌍

An overview of single nucleotide polymorphism studies in mastitis research

VNM Asaf, A Kumar, A Rahim, R Sebastian, V Mohan, P Dewangan, …

Vet World 7 (6), 416-421 (2014) 🐄

Genotyping of major histocompatibility complex Class II DRB gene in Rohilkhandi goats by polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing

K Shrivastava, P Kumar, NR Sahoo, A Kumar, MF Khan, A Kumar, …

Veterinary world 8 (10), 1183 (2015) 🧬

Genome-wide host gene expression analysis in mice experimentally infected with Pasteurella multocida

GB Priya, VK Nagaleekar, AAP Milton, M Saminathan, A Kumar, …

PLoS One 12 (7), e0179420 (2017) 🐭

Identification of chicken pulmonary miRNAs targeting PB1, PB1-F2, and N40 genes of highly pathogenic avian influenza virus H5N1 in silico

A Kumar, AVN Muhasin, AA Raut, R Sood, A Mishra

Bioinformatics and Biology insights 8, BBI. S14631 (2014) 🐔

Study on genetic variation of short tandem repeats (STR) markers and their association with somatic cell scores (SCS) in crossbred cows

JP Gupta, B Bhushan, M Panigrahi, S Ranjan, VN Asaf, A Kumar, …

Indian Journal of Animal Research 50 (4), 450-454 (2016) 🧬🐄

Association study of genetic variants at single nucleotide polymorphism rs109231409 of mannose-binding lectins 1 gene with mastitis susceptibility in Vrindavani crossbred cattle

VNM Asaf, B Bhushan, M Panigrahi, P Dewangan, A Kumar, P Kumar, …

Veterinary World 7 (10) (2014) 🧬🐄

No change in mRNA expression of immune-related genes in peripheral blood mononuclear cells challenged with Theileria annulata in Murrah buffalo (Bubalus bubalis)

M Panigrahi, A Kumar, B Bhushan, S Ghosh, BC Saravanan, S Sulabh, …

Ticks and tick-borne diseases 7 (5), 754-758 (2016) 🐃

In-silico search of virus-specific host microRNAs regulating avian influenza virus NS1 expression

VN Muhasin Asaf, A Kumar, AA Raut, S Bhatia, A Mishra

Theory in Biosciences 134, 65-73 (2015) 🐔

 

 

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

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Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

  1. Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
  2. Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
  3. Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
  4. Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.

 

 

Ms. Mohaddeseh Koosha | Artificial Intelligence | Best Researcher Award

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Ms. Mohaddeseh Koosha : Leading Researcher in Artificial Intelligence

PhD Student at Artificial Intelligence, Amirkabir University of Technology, Iran

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ms. Mohaddeseh Koosha is an expert in signal and image processing with a passion for extracting features from natural patterns. She enjoys applying evolutionary algorithms to solve regression and classification problems and has a keen interest in studying scientific papers for new ideas. Ms. Koosha holds a Master’s degree in Electronics from Sharif University of Technology and is currently completing her Ph.D. in Computer Engineering with a focus on Artificial Intelligence at Amirkabir University of Technology. While she initially worked in electrical engineering, specifically in microelectronics and VHDL, she transitioned her focus to Artificial Intelligence eight years ago. Ms. Koosha has published in high-impact journals such as Knowledge-Based Systems (Elsevier) and IET Image Processing, as well as in conference publications. She has served as a peer-reviewer for IET Image Processing and has collaborated with Professor Mohammad Mehdi Ebadzadeh on Genetic Programming within the field of Evolutionary Algorithms. Throughout her career, Ms. Koosha has successfully completed several engineering projects for various companies, showcasing her expertise and practical skills in the field.

Research, Innovations and Extension:

Ms. Mohaddeseh Koosha has completed 12 research projects and has ongoing research activities. She has a citation index of 12 in Scopus/Web of Science or PubMed/Indian Citation Index. Additionally, she has been involved in 8 consultancy and industry-sponsored projects. Ms. Koosha has published 2 books with ISBN (text, reference, chapters, and conference proceedings) and has a cumulative project cost of USD/INR 30,000. She has published patents and has 2 journals indexed in SCI and SCIE. She has also held editorial appointments in journals/conferences and has 2 publications in Scopus, Web of Science, and PubMed indexes. Furthermore, she has a notable H-index based on Scopus/Web of Science, has organized research conferences/workshops, and has been involved in collaborative activities and received numerous awards and recognition. Ms. Koosha is a member of professional bodies and has functional MoUs with other universities/industries/corporates.

Research & Development:

👩‍🔬 Ms. Mohaddeseh Koosha is currently focusing on using artificial intelligence in developing biometric research, particularly in extracting biometric features from face and eyes. She is also using probabilistic genetic programming to resolve regression problems, such as making predictions from data gathered from CT Scan devices and making pollution condition forecasts. Additionally, she is enthusiastic about gathering healthcare-relevant features and observing their influence on life expectancy.