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Enregistrement W2993337825 · doi:10.1115/1.4045590

Professor Jyeshtharaj Bhalchandra Joshi on His 70th Birthday

2019· article· en· W2993337825 sur OpenAlexaboutno aff
Mohamed M. Awad, Sanjoy Banerjee, Masahiro Kawaji

Notice bibliographique

RevueJournal of Nuclear Engineering and Radiation Science · 2019
Typearticle
Langueen
DomaineEngineering
ThématiqueFluid Dynamics and Mixing
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAtomic energyLibrary scienceManagementSociologyComputer scienceSocial science

Résumé

récupéré en direct d'OpenAlex

Professor Jyeshtharaj B. JoshiProfessor Jyeshtharaj B. Joshi is one of the well-known names in the fields of chemical and nuclear engineering. He was born on the May 28, 1949, in Masur, Satara, Maharashtra, India. He received his B.E., M.E., and Ph.D. degrees in 1971, 1972 and 1977, respectively, in chemical engineering from the University Department of Chemical Technology (UDCT), presently the Institute of Chemical Technology, Matunga, Mumbai, India. He did his Ph.D. thesis under the supervision of Professor Man Mohan Sharma.After finishing his Ph.D. in 1977, Professor Joshi worked at the UDCT in different positions and retired at the age of 60 as its Director in 2009. During his work at the UDCT, Professor Jyeshtharaj B. Joshi was involved in several activities. For instance, he organized around 200 science workshops within the period 1999–2000. He was one of the key persons for getting the research funds by the way of research contracts, donations, and project consultancies. After his retirement, he joined as a Homi Bhabha Chair Professor in the Homi Bhabha National Institute, Department of Atomic Energy (DAE), Anushaktinagar, Mumbai. Currently, he is working as emeritus professor in the Department of Atomic Energy (DAE), Anushaktinagar, Mumbai.During his academic life at different places in India, Professor Joshi has published several articles, reports, and textbooks on computational fluid dynamics, nuclear reactor design, and multiphase flow such as Refs. [1] and [2]. In the field of nuclear engineering, Professor Joshi has published many articles in the recent years such as Refs. [3–13].Professor Jyeshtharaj B. Joshi has served on the Editorial Advisory Boards of several well-known and peer reviewed international journals like the Canadian Journal of Chemical Engineering, Chemical Engineering Research and Design, Chemical Engineering Science, and Reviews in Chemical Engineering.He is also J.C. Bose Fellow in the Institute of Chemical Technology, Mumbai, Fellow of the Indian National Science Academy (FNA), and Fellow of the Academy for the Developing World (TWAS). In addition, he is the recipient of several national awards such as INSA Medal for Young Scientist in 1981, Amar-Dye-Chem Award for Excellence in Research and Development in 1983 given by the Indian Institute of Chemical Engineers. In 1991, he received The Shanti Swarup Bhatnagar Prize for Science and Technology given by the Council of Scientific and Industrial Research (CSIR), which is named after the founder Director of the Council of Scientific and Industrial Research, Shanti Swarup Bhatnagar. Also, he is the winner of Diamond Award of UDCT in 1994, Viswakarma Medal of INSA in 2000, Indian Institute of Chemical Engineers Award in 2007, and Zyed Hussain Zaheer Medal of INSA in 2008. In 2014, he received the Padma Bhushan award from the former Indian President Pranab Mukherjee, for his services to the field of nuclear science and chemical engineering.On the occasion of his 70th birthday, on behalf of his colleagues, friends, and students all over the world, we wish Professor Jyeshtharaj B. Joshi a continuous active life in happiness and good health and a very happy birthday!

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,244
Score d'incertitude au seuil0,304

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,004
Tête enseignante GPT0,192
Écart entre enseignants0,188 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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Même revueJournal of Nuclear Engineering and Radiation ScienceMême sujetFluid Dynamics and MixingTravaux en français237 207