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

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 πŸŽ“, 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 πŸ†. 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. πŸ‘¨β€βš•οΈβœ¨

πŸŽ“Education :Β 

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. πŸŽ“πŸ“š

🌐 Professional Profiles : 

Scopus

Google Scholar

ORCID

πŸ† 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. πŸ†πŸ‘¨β€βš•οΈ

🧠 Research Interests πŸ”¬πŸŒ :

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. πŸ”¬πŸŒ 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.

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 180 documents indexed in Scopus.
  • πŸ“ŠΒ 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 πŸ“–
    • h-index: 40 πŸ“Š
    • i10-index: 95 πŸ”
  • Since 2018:
    • Citations: 4544 πŸ“–
    • h-index: 36 πŸ“Š
    • i10-index: 90 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications Top Notes :

1.Β  A quick guide to survey research

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

Published Year: 2013,Β Cited by 701 articles

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

Journal: International orthopaedics

Published Year: 2020, Cited by 189 articles

6.Β  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.Β  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.Β  Arthroscopic hip preservation surgery: current concepts and perspective

Journal: The bone & joint journal

Published Year: 2013, Cited by 129 articles

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

Journal: International orthopaedics

Published Year: 2011, Cited by 124 articles

10.Β  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

 

 

 

 

 

 

Mr. Alessandro Ottino | Cloud Networking

Mr. Alessandro Ottino : Leading Researcher in Cloud Networking

Mr. Alessandro Ottino, University College London, United Kingdom

πŸŽ“ Mr. Alessandro Ottino, Currently pursuing a Microsoft-funded Ph.D. at University College London (UCL) in optical systems and technologies for distributed deep learning. Focused on developing innovative optical topologies and technologies to enable effective training of large-scale deep neural networks with over 1 trillion parameters across thousands of accelerators in data centers.

πŸ’Ό Previously worked as a Post-graduate Teaching Assistant (PGTA) at UCL’s Electrical and Electronic Engineering (EEE) department from January to March 2020-2021. Engaged in teaching undergraduate modules in digital design (FPGA and embedded systems programming), Java, Object-Oriented Programming, and served as a guest lecturer in “Networks and Technologies for Distributed Deep Learning (DDL)” for the “Cloud and Edge Computing” MSc course.

πŸ’» Proficient in various software tools including Vivado, Quartus, Modelsim, Multisim, Lumerical, Alteryx, Tableau, and the Microsoft Office Suite. Passionate about pushing the boundaries of optical systems to enhance the capabilities of deep learning in distributed environments. πŸŒπŸ”¬

Professional Profiles : 🌐

Scopus

Linkedin

Google Scholar

πŸ† Awards :Β 

πŸ† In March 2020, He was honored with the IEEE Best Undergraduate Project in Telecommunications for showcasing excellence and innovation in the field. This recognition underscored her dedication to pushing the boundaries of technology.

πŸŽ“ August 2019 brought the prestigious Dean’s List acknowledgment for outstanding academic achievements in the Electrical and Electronic Engineering (EEE) department at UCL. This recognition reflected her commitment to academic excellence and contributions to the field.

πŸ… In May 2019, He was awarded the First Cullen Prize for the Best Undergraduate Project in the EEE department at UCL. The project, focusing on “Artificial Intelligence Techniques for FPGA-Driven Interconnects,” highlighted her proficiency in integrating AI with hardware solutions.

πŸ”Β Research Focus:

🌐 Distributed Systems

🌍 Optical Networks

πŸ”¬ Machine Learning

πŸ“šΒ Publication Impact and Citations :Β 

Scopus Metrics:

  • πŸ“Β Publications: 12 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 19 citations for his publications, reflecting the widespread impact and recognition of Mr. Alessandro Ottino’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 44 πŸ“–
    • h-index: 4 πŸ“Š
    • i10-index: 1 πŸ”
  • Since 2018:
    • Citations: 44 πŸ“–
    • h-index: 4 πŸ“Š
    • i10-index: 4 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications ( Top Note ) :

1.Β  Time-domain learned digital back-propagation

Journal/Conference: 2020 IEEE Workshop on Signal Processing Systems (SiPS)

Published Year: 2020, Cited By: 10

2.Β  Optimization of 125-m Heterogeneous Multi-Core Fibre Design Using Artificial Intelligence

Journal/Conference: IEEE Journal of Selected Topics in Quantum Electronics

Published Year: 2021, Cited By: 8

3.Β  Traffic tolerance of nanosecond scheduling on optical circuit switched data center network

Journal/Conference: 2022 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year:2022,Β  Cited By: 6

4.Β  Design optimization of uncoupled six-core fibers in standard cladding diameter using artificial intelligence

Journal/Conference: Optical Fiber Communication Conference

Published Year: 2021, Cited By: 4

5.Β  RAMP: a flat nanosecond optical network and MPI operations for distributed deep learning systems

Journal/Conference: Optical Switching and Networking

Published Year: 2024,Cited By: 3

6.Β  Design and transmission analysis of trench-assisted multi-core fibre in standard cladding diameter

Journal/Conference: Optics Express

Published Year: 2022,Cited By: 3

7.Β  Experimental demonstration of learned time-domain digital back-propagation

Journal/Conference: arXiv preprint arXiv:1912.12197

Published Year: 2019,Cited By: 3

8.Β  Optimal and Low Complexity Control of SOA-Based Optical Switching with Particle Swarm Optimisation

Journal/Conference: European Conference and Exhibition on Optical Communication

Published Year: 2022,Cited By: 2

9.Β  Experimental Analysis on Variations and Accuracy of Crosstalk in Trench-Assisted Multi-core Fibers

Journal/Conference: arXiv preprint arXiv:2008.08034

Published Year: 2020,Cited By: 2

10.Β  Genetic algorithm optimization of multi-core fibre transmission links based on silicon photonic transceivers

Journal/Conference: 2019 Optical Fiber Communications Conference and Exhibition (OFC)

Published Year: 2019, Cited By: 2