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Alam khur s

Professor

Alam khur s
mkalam@ju.edu.sa
Preventive Dentistry - College of Dentistry
College
College of Dentistry
كلية طب الأسنان
Department
Alams20913756
Alams20913756
Researches
11
11
Page Visits
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Current courses

Recent courses

Fm researches

Last Researches

Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease
Mohammad Khursheed Alam
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Advancing cephalometric soft-tissue landmark detection: An integrated AdaBoost learning approach incorporating Haar-like and spatial features.
Mohammad Khursheed Alam
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Developing the teledentistry acceptance survey for dentists – TAS-D: a Delphi study.
Mohammad Khursheed Alam
Read more

fm info

Researches

Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease
Mohammad Khursheed Alam
Read more
Advancing cephalometric soft-tissue landmark detection: An integrated AdaBoost learning approach incorporating Haar-like and spatial features.
Mohammad Khursheed Alam
Read more
Developing the teledentistry acceptance survey for dentists – TAS-D: a Delphi study.
Mohammad Khursheed Alam
Read more
Smoking and its Impact on Orthodontic Treatment/Management Modalities: A Systematic Review and Meta-Analysis
Mohammad Khursheed Alam
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Patient-reported outcomes during accelerating the en-masse retraction of the upper anterior teeth using low-intensity electrical stimulation: a randomized controlled trial.
Mohammad Khursheed Alam
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A systematic review and meta-analysis of the impact of resveratrol on oral cancer: potential therapeutic implications.
Mohammad Khursheed Alam
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Assessment of the root and canal morphology in the permanent dentition of Saudi Arabian population using cone beam computed and micro-computed tomography – a systematic review.
Mohammad Khursheed Alam
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Pain Management Using Nano-Bio Fusion Gel in Fixed Orthodontic Therapy-Induced Gingivitis: A Split-Mouth Design Study
Mohammad Khursheed Alam
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Identification of Preferred Learning Style of Medical and Dental Students Using VARK Questionnaire
Mohammad Khursheed Alam
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Development and virtual validation of a novel digital workflow to rehabilitate palatal defects by using smartphone?integrated stereophotogrammetry (SPINS)
Mohammad Khursheed Alam
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Evaluation of temporomandibular disorders among dental students of Saudi Arabia using Diagnostic Criteria for Temporomandibular Disorders (DC/TMD): a cross?sectional study
Mohammad Khursheed Alam
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Experience

Assistant Professor and Head of the Department
Assistant Professor and Head of the Department, Bangladesh Dental College, Dhaka University, Dhaka, Bangladesh
2008 - 2011

1. Academic
2. Clinic
3. Research
4. Administration

Teaching Assistant, College of Dental Medicine, Hokkaido University
Teaching Assistant, College of Dental Medicine, Hokkaido University, Japan
2004 - 2008

Teaching Assistant, College of Dental Medicine, Hokkaido University

Senior Lecturer [DUG 53] Equivalent to Associate Professor
Senior Lecturer [DUG 53] Equivalent to Associate Professor, School of Dental Science, Universiti Sains Malaysia
2011 - 2016

1. Academic
2. Clinic
3. Research
4. Administration

Associate Professor, Jouf University
Associate Professor, Jouf University
2016 - 2021

1. Academic
2. Clinic
3. Research
4. Administration

Certifications

FDTFEd (Edinburgh, UK). Royal College of Surgeons of Edinburgh. Fellowship of the Faculty of Dental Trainers
25032022
2022 - 2025
Specialist Orthodontist
26207
2017 - 2026
FDS RCPS (Glasgow, UK)
22122022
2022 - 2025

Education

Ph.D.
Hokkaido University, Japan - Graduate School of Dental Medicine
2008 - 2003

Under Japan Government Scholarship PhD in Orthodontics as per Japan Orthodontic Society Curriculum and Hokkaido University, Japan Curriculum.

BA
Dhaka University - Bangladesh Dental College
2022 - 1997

Bachelor of Dental Surgery Study as per University curriculum.

Projects

Artificial intelligence-based [A.I.] assessment of Facial symmetry aesthetics of Saudi Arabian population
2024 - 2025

Artificial intelligence-based [A.I.] assessment of Facial symmetry aesthetics of Saudi Arabian population

Contact