Assoc Prof Dr. Vikas Khanduja | Internet Protocol | Best Researcher Award

Published on by Network Awards

Assoc Prof Dr. Vikas Khanduja | Network Protocols | Best Researcher Award

Assoc Prof Dr. Vikas Khanduja, Addenbrooke’s – Cambridge University Hospital, United Kingdom

Dr. Vikas Khanduja, a distinguished scholar 🎓, earned his PhD from Ghent University in November 2020, showcasing his commitment to advancing knowledge in his field. Prior to that, he achieved an MA(Cantab) from the University of Cambridge in July 2013, reflecting his dedication to academic excellence. Dr. Khanduja’s educational journey is marked by a pursuit of knowledge at renowned institutions, underscoring his expertise and passion for orthopaedic surgery. In the realm of accolades, he stands as a prominent figure adorned with prestigious awards 🏆. In 2023, he is poised to deliver the Prof Balusankaran Oration at IOACON, highlighting his recognition among peers.

The Institute of Physics honored him with the Lee Luca Business Award in October 2023, emphasizing his multidisciplinary contributions. Notably, the 2022 NIHR CRN East of England Celebration Award for Inspiration underscores his impact on clinical research. His innovative work in joint replacements, specifically with Microfluidic Force Sensors, earned him the Armourers & Brasiers Venture Prize in June 2022. As the Hunterian Professor in 2021 at The Royal College of Surgeons of England, Dr. Khanduja’s accolades also include the Bernard Meggitt Lecture and the Royal College of Surgeons’ Team Award for Innovation in Surgical Education. From the Naughton Dunn Lecture & Medal to the AK Saha Eponymous Lecture Award by the Indian Orthopaedic Association, Dr. Khanduja’s journey is marked by a trail of recognition, emphasizing his profound impact in orthopaedics and surgical education.

His research interests span a dynamic intersection of network protocols and orthopaedics, showcasing a versatile expertise 🧠🌐. In the field of orthopaedics, his focus extends to the hip, unraveling complexities, and his dedication to sports injury research demonstrates a commitment to enhancing athlete well-being. Driven by a passion for technological connectivity and musculoskeletal intricacies, Dr. Vikas Khanduja embodies a holistic approach to research that significantly contributes to the advancement of knowledge in diverse domains. 👨‍⚕️✨

🎓Education : 

Dr. Vikas Khanduja is a distinguished scholar with a robust educational background. He earned his PhD from Ghent University on November 26, 2020, showcasing his commitment to advancing knowledge in his field. Prior to that, he achieved an MA(Cantab) from the University of Cambridge on July 20, 2013, reflecting his dedication to academic excellence. Dr. Khanduja’s educational journey is marked by a pursuit of knowledge at renowned institutions, underscoring his expertise and passion for his field of study. 🎓📚

🌐 Professional Profiles : 

Scopus

Google Scholar

ORCID

🏆 Awards and Honors :

✨ Dr. Vikas Khanduja stands as a distinguished figure in the field of orthopaedic surgery, adorned with a cascade of prestigious awards and honors. In 2023, he is set to deliver the Prof Balusankaran Oration at IOACON, a testament to his expertise and recognition among peers. The Institute of Physics honored him with the Lee Luca Business Award in October 2023, highlighting his multidisciplinary contributions. Notably, the 2022 NIHR CRN East of England Celebration Award for Inspiration underscores Dr. Khanduja’s impact on clinical research. His innovative work in joint replacements, specifically with Microfluidic Force Sensors, earned him the Armourers & Brasiers Venture Prize in June 2022. Serving as the Hunterian Professor in 2021 at The Royal College of Surgeons of England, Dr. Khanduja’s accolades also include the Bernard Meggitt Lecture and the Royal College of Surgeons’ Team Award for Innovation in Surgical Education. From the Naughton Dunn Lecture & Medal to the AK Saha Eponymous Lecture Award by the Indian Orthopaedic Association, Dr. Khanduja’s journey is marked by a trail of recognition, emphasizing his profound impact in orthopaedics and surgical education. 🏆👨‍⚕️

🧠 Research Interests 🔬🌐 :

Dr. Vikas Khanduja’s intellectual pursuits converge on a dynamic intersection of research interests, showcasing a versatile expertise. His inquisitive mind delves into the intricate realm of network protocols, deciphering the intricate language that underpins digital connectivity. 🧠 In the field of orthopaedics, Dr. Khanduja’s focus extends to the hip, unraveling the complexities surrounding this crucial joint. His dedication to sports injury research demonstrates a commitment to enhancing athlete well-being, while his exploration of Femoroacetabular Impingement illuminates crucial aspects of hip joint mechanics. 🔬🌐 Driven by a passion for both technological connectivity and musculoskeletal intricacies, Dr. Vikas Khanduja embodies a holistic approach to research that contributes significantly to the advancement of knowledge in diverse domains.

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 180 documents indexed in Scopus.
  • 📊 Citations: A total of 3,160 citations for his publications, reflecting the widespread impact and recognition of Dr. Vikas Khanduja’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 5800 📖
    • h-index: 40 📊
    • i10-index: 95 🔍
  • Since 2018:
    • Citations: 4544 📖
    • h-index: 36 📊
    • i10-index: 90 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications Top Notes :

1.  A quick guide to survey research

Journal: The Annals of The Royal College of Surgeons of England

Published Year: 2013, Cited by 701 articles

2.  Arthroscopic hip surgery compared with physiotherapy and activity modification for the treatment of symptomatic femoroacetabular impingement: multicentre randomised controlled trial

Journal: bmj

Published Year: 2019, Cited by 250 articles

3.  The 2019 revised version of association research circulation osseous staging system of osteonecrosis of the femoral head

Journal: The Journal of arthroplasty

Published Year: 2020, Cited by 190 articles

4.  Whole-genome sequencing coupled to imputation discovers genetic signals for anthropometric traits

Journal: The American Journal of Human Genetics

Published Year: 2017, Cited by 190 articles

5.  Maximizing virtual meetings and conferences: a review of best practices

Journal: International orthopaedics

Published Year: 2020, Cited by 189 articles

6.  Negative pressure wound therapy for management of the surgical incision in orthopaedic surgery: a review of evidence and mechanisms for an emerging indication

Journal: Bone & joint research

Published Year: 2013, Cited by 146 articles

7.  Arthroscopic surgery of the hip: current concepts and recent advances

Journal: The Journal of Bone & Joint Surgery British Volume

Published Year: 2006, Cited by 133 articles

8.  Arthroscopic hip preservation surgery: current concepts and perspective

Journal: The bone & joint journal

Published Year: 2013, Cited by 129 articles

9.  Current concepts in the diagnosis and management of femoroacetabular impingement

Journal: International orthopaedics

Published Year: 2011, Cited by 124 articles

10.  Does virtual reality simulation have a role in training trauma and orthopaedic surgeons?

Journal: The Bone & Joint Journal

Published Year: 2018, Cited by 119 articles

 

 

 

 

 

 

Dr. Imran Iqbal | Network Protocols, Technology and Communication

Published on by Network Awards

Dr. Imran Iqbal : Leading Researcher in Network Protocols, Technology and Communication

Dr. Imran Iqbal, Helmholtz-Zentrum Hereon, Germany

Congratulations, Dr. Imran Iqbal, on winning the esteemed Best Researcher Award from World Research Awards ! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.

Dr. Imran Iqbal, seamlessly integrates diverse academic achievements and professional experiences, demonstrating expertise in applied mathematics, deep learning, and scientific computing. Her current research at Helmholtz-Zentrum Hereon reflects a commitment to advancing knowledge in the dynamic field of stem cell-biomaterial interaction. A dedicated researcher with a track record of academic excellence and real-world contributions.

Professional Profiles:

.   Google Scholar

.   ORCID

.   LinkedIn 

.   GitHub

 

🎓 Education:
  1. Master of Science in Mathematical Modeling and Scientific Computing 🎓✨
    • Faculty of Basic and Applied Sciences
    • Air University, Islamabad, Pakistan
  2. Master of Information Technology 🖥️🌐
    • Department of Computer Sciences
    • Isra University, Hyderabad, Pakistan
  3. Bachelor of Computer and Information Technology 🎓 🖥️
    • Department of Computer Sciences
    • University of Sindh, Jamshoro, Pakistan
Awards and Honors: 🏆
  1. China Scholarship Council (CSC)
    • Award: CSC for PhD Program
    • Duration: Sep 2016 – Jul 2021
    • Date: July 2016
  2. Peking University International Students Excellence Award 2020
    • Award: Excellence Award
    • Date: Dec 2020
  3. Ministry of Education Award for Outstanding International Students 2020 in China
    • Award: Outstanding International Student Award
    • Date: Dec 2020
  4. Innovation Information Biologisation (I2B) Funds for Postdoc Project
    • Award: I2B Funds
    • Duration: Sep 2021 – Jan 2024
  5. Helmholtz Information and Data Science Academy Trainee Network
    • Grant: Helmholtz Visiting Researcher Grant
    • Duration: 2022-23
    • Date: June 2022

Your achievements reflect your dedication and excellence in your academic and research endeavors. Best of luck in your future endeavors! 🌟

Research Interests: 🌐📚🔍
  1. Computer Vision, Pattern Recognition, Image Processing 🌐‍🔍
  2. Machine Learning, Deep Learning, Convolutional Neural Networks📚🧠
  3. Classification and Segmentation of lesions/abnormalities in Medical Images🩺🔬

Your focus on applying advanced technologies like machine learning and deep learning to medical image analysis is crucial for improving diagnostics and healthcare outcomes. Best of luck with your research journey! 🚀

Journal Reviewer:
  • Applied Artificial Intelligence Journal
    • Duration: Aug 2020 – July 2021 📝📰
  • Artificial Intelligence Review, Springer; Journal of Ambient Intelligence and Humanized Computing, Springer; Computer Methods and Programs in Biomedicine, Elsevier; Applied Computing and Informatics, Emerald; IEEE Access, IEEE; World Journal of Gastroenterology, Baishideng; World Journal of Gastrointestinal Oncology, Baishideng; PLOS ONE, Public Library of Science; Biomedical Physics & Engineering Express, IOPscience; Physics in Medicine and Biology, IOPscience; Engineering Research Express, IOPscience. 📚👩‍💻
Conference Reviewer:
  • The 10th and 12th International Conference on Biomedical Engineering and Biotechnology
    • Date: 15–18 Nov 2021, Suzhou, China; 17–20 Nov 2023, Macao, China  🩺🔬
  • The 5th International Conference on Machine Learning and Intelligent Systems
    • Date: 14 – 17 Aug 2023, Belgrade, Serbia  📊🧠
  • The 8th International Conference on New Energy and Future Energy Systems
    • Date: 21 – 24 Nov 2023, Matsue, Japan  🌏🌱

Your contributions to the peer review process in journals and conferences demonstrate your active involvement in shaping and maintaining the quality of academic content. Kudos to your dedication! 🌟👏

Google Scholar Metrics:  🌐

All Time:

  • Citations: 242 📚
  • h-index: 8 📊
  • i10-index: 5 🔢

Since 2018:

  • Citations: 241 📖
  • h-index: 8 📈
  • i10-index: 5 🔍

These metrics highlight the reach and influence of your scholarly work. Keep up the excellent contribution to the academic community! 🌐👩‍🎓

Publications ( Top Note ) :

1.   Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

.  Published in Intelligent Systems with Applications in  2021 with 90 citations.

2.   A review on polysaccharides from Artemisia sphaerocephala Krasch seeds, their extraction, modification, structure, and applications

.  Published in Carbohydrate Polymers in 2021 with 44 citations.

3.   Deep learning-based morphological classification of human sperm heads

.  Published in Diagnostics in 2020 with 32 citations.

4.   Synthesis of bimetallic nanoparticles loaded on to PNIPAM hybrid microgel and their catalytic activity

.  Published in Scientific Reports in 2018 with 21 citations.

5.   Deep learning‐based automated detection of human knee joint’s synovial fluid from magnetic resonance images with transfer learning

.  Published in IET Image Processing in 2020 with 11 citations.

6.   Reduction of threading dislocations in GaN grown on patterned sapphire substrate masked with serpentine channel

.  Published in Materials Science in Semiconductor Processing in 2021 with 9 citations.

7.   Comparative investigation of learning algorithms for image classification with small dataset

.  Published in Applied Artificial Intelligence in 2021 with 9 citations.