Dr Shaik Kareem Ahmmad

vidwan id: 334383

Male

Nodal Officer, Department of Basic Science and Humanities
Muffakham Jah College of Engineering & Technology

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Expertise

Applied Physics

Publications

Total Articles 53

Books 0

Proceedings 0

Publications

Scopus

Citations 528

h-index 14

CrossRef

Citations 507

h-index 15

Google Scholar

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Professional Recognition

2021

Outstanding contribution in reviewing

Journal of non crystalline solids, Elsevier publisher

2022

Recognized as a reviewer for Materials Research Bulletin

Elsevier Publisher

Community & Membership

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Bio

Working in Glasses with Machine Learning and Artificial intelligence techniques

Personal Details

Male
Nodal Officer , Muffakham Jah College of Engineering & Technology
Department of Basic Science and Humanities,Muffakham Jah College of Engineering and Technology

Ph.D

Osmania University 2015

M.Sc

Osmania University 2004

Nodal Officer Jan 2023 – Present

Muffakham Jah College of Engineering & Technology | Department of Basic Science and Humanities

Associate Professor Oct 2019 – Jan 2023

Muffakham Jah College of Engineering & Technology | Department of Basic Science and Humanities

Assistant Professor (Grade-I) Oct 2006 – Aug 2019

Muffakham Jah College of Engineering & Technology

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Co-Authors (11)

Mr Mohd Abdul Haleem Rizwan

Muffakham Jah College of Engineering & Technology

Dr Mohammed Hamraj

Muffakham Jah College of Engineering & Technology

Dr Hima Bindu Pitta

Osmania University

Prof Syed Ferhathullah Hussainy

Muffakham Jah College of Engineering & Technology

Dr Avula Edukondalu

Osmania University

Prof Laxman Naik Jarupula

Osmania University

Dr Mohamad Raheem Ahmed

Muffakham Jah College of Engineering & Technology

Prof Srinivas Mudavath

Osmania University

Dr Nazima Siddiqui

Muffakham Jah College of Engineering & Technology

Prof Puram Kistaiah Puram

Osmania University

Prof Shareefuddin Mohd

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Scholarly Work

Development of Replica of Sir J.C Bose mm Wave Experiment

Funding Agency: IEEE

Project member

900,000

2019 - Ongoing

Ongoing

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A method for predicting the density of oxide and fluoride glasses using artificial intelligence techniques

shaik kareem ahmmad

- Application No. : 2023/02828 Filed : 23-02-2023

Published : N/A Granted

A Method to Enhance Optical Properties of Zinc Arsenic Tellurite Glasses

Muffakham Jah College of engineering and technology

Physical Sciences Patent No. : 2021104728 Filed : 29-07-2021

Published : 13-04-2022 Published

Scholarly Publications

Fabrication, physical and machine learning density prediction techniques of newly B<inf>2</inf>O<inf>3</inf>–ZnO–BaO–PtO<inf>2</inf> glasses

Open Access

Article

Optical Materials. Year: 2023. Volume: 142 .

Authors: Alsaif N.A.M.;Ahmed M.M.;Al-Ghamdi H.;El-Hamalawy A.A.;Badawy W.M.;Rammah Y.S.;Ahmmad S.K.

10.1016/j.optmat.2023.113994

On cobalt zinc boro sodium fluoride glasses doped with Y<inf>2</inf>O<inf>3</inf>: Synthesis, artificial intelligence density prediction and dielectric spectroscopy

Open Access

Article

Year: 2023. Volume: 281 .

Authors: Alsaif N.A.M.;Shams M.S.;El-Refaey A.M.;Rammah Y.S.;Chaurasia M.A.;Siddiqui N.;Elsad R.A.;Ahmmad S.K.

10.1016/j.ijleo.2023.170849

On cobalt zinc boro sodium fluoride glasses doped with Y2O3: Synthesis, artificial intelligence density prediction and dielectric spectroscopy

Open Access

article

Year: 2023.

Authors: Norah AM Alsaif, MS Shams, Adel M El-Refaey, YS Rammah, Mousmi A Chaurasia, Nazima Siddiqui, RA Elsad, Shaik Kareem Ahmmad

10.1016/j.ijleo.2023.170849

Synthesis, structure, radiation attenuation efficacy as well as prediction of density using artificial intelligence techniques of lead borate lithium zinc strontium glasses

Open Access

Article

Optical Materials. Year: 2023. Volume: 137 .

Authors: Alsaif N.A.M.;Ahmmad S.K.;Khattari Z.Y.;Abdelghany A.M.;El-Refaey A.M.;Rammah Y.S.;Shams M.S.;Elsad R.A.

10.1016/j.optmat.2023.113599

A closer-look at lithium strontium boro-fluoride glasses doped with CeO2 and Yb2O3 ions: Synthesis, radiation shielding properties, and prediction of density using artificial intelligence techniques

Open Access

article

Optical Materials. Year: 2023. Volume: 135 , Pages: 113338 .

Authors: Alrowaili, ZA and El-Hamalawy, AA and Ahmmad, Shaik Kareem and Lasya, SVS Bhadra and Al-Buriahi, MS and Rammah, YS

Machine learning density prediction and optical properties of calcium boro-zinc glasses

Open Access

Article

Optical Materials. Year: 2022. Volume: 134 .

Authors: Ahmmad S.K.;Alsaif N.A.M.;Shams M.S.;El-Refaey A.M.;Elsad R.A.;Rammah Y.S.;Sadeq M.S.

10.1016/j.optmat.2022.113145

Density of Bismuth Boro Zinc Glasses Using Machine Learning Techniques

Open Access

Article

Journal of Inorganic and Organometallic Polymers and Materials. Year: 2022. Volume: 32 , Issue: 3 , Pages: 941-953 .

Authors: Ahmed S.A.;Rajiya S.;Samee M.A.;Ahmmad S.K.;Jaleeli K.A.

10.1007/s10904-021-02183-y

Density of fluoride glasses through artificial intelligence techniques

Open Access

journal-article

Ceramics International. Year: 2021.

Authors:

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