Dr. Lawrence Baizer | Large-Scale Vision | Best Researcher Award

 Dr. Lawrence Baizer | Large-Scale Vision | Best Researcher Award

Doctorate at National Institutes of Health, United States

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Publications

Therapeutic trials for long COVID-19: a call to action from the interventions taskforce of the RECOVER initiative

  • Authors: Hector Bonilla, Michael J Peluso, Kathleen Rodgers, Judith A Aberg, Thomas F Patterson, Robert Tamburro, Lawrence Baizer, Jason D Goldman, Nadine Rouphael, Amelia Deitchman, Jeffrey Fine, Paul Fontelo, Arthur Y Kim, Gwendolyn Shaw, Jeran Stratford, Patricia Ceger, Maged M Costantine, Liza Fisher, Lisa O’Brien, Christine Maughan, John G Quigley, Vilma Gabbay, Sindhu Mohandas, David Williams, Grace A McComsey
  • Journal: Frontiers in immunology
  • Year: 2023

Gaps and opportunities in the treatment of relapsed-refractory multiple myeloma: Consensus recommendations of the NCI Multiple Myeloma Steering Committee

  • Authors: Shaji Kumar, Lawrence Baizer, Natalie S Callander, Sergio A Giralt, Jens Hillengass, Boris Freidlin, Antje Hoering, Paul G Richardson, Elena I Schwartz, Anthony Reiman, Suzanne Lentzsch, Philip L McCarthy, Sundar Jagannath, Andrew J Yee, Richard F Little, Noopur S Raje
  • Journal: Blood cancer journal
  • Year: 2022

Updated standardized definitions for efficacy end points (STEEP) in adjuvant breast cancer clinical trials: STEEP version 2.0

  • Authors: Sara M Tolaney, Elizabeth Garrett-Mayer, Julia White, Victoria S Blinder, Jared C Foster, Laleh Amiri-Kordestani, E Shelley Hwang, Judith M Bliss, Eileen Rakovitch, Jane Perlmutter, Patricia A Spears, Elizabeth Frank, Nadine M Tung, Anthony D Elias, David Cameron, Neelima Denduluri, Ana F Best, Angelo DiLeo, Lawrence Baizer, Lynn Pearson Butler, Elena Schwartz, Eric P Winer, Larissa A Korde
  • Journal: Journal of clinical oncology
  • Year: 2021

Hodgkin lymphoma: current status and clinical trial recommendations

  • Authors: Catherine S Diefenbach, Joseph M Connors, Jonathan W Friedberg, John P Leonard, Brad S Kahl, Richard F Little, Lawrence Baizer, Andrew M Evens, Richard T Hoppe, Kara M Kelly, Daniel O Persky, Anas Younes, Lale Kostakaglu, Nancy L Bartlett
  • Journal: JNCI: Journal of the National Cancer Institute
  • Year: 2017

Beyond RCHOP: a blueprint for diffuse large B cell lymphoma research

  • Authors: Grzegorz S Nowakowski, Kristie A Blum, Brad S Kahl, Jonathan W Friedberg, Lawrence Baizer, Richard F Little, David G Maloney, Laurie H Sehn, Michael E Williams, Wyndham H Wilson, John P Leonard, Sonali M Smith
  • Journal: JNCI: Journal of the National Cancer Institute
  • Year: 2016

Dr. Sitara Afzal | Deep Learning | Best Researcher Award

Dr. Sitara Afzal | Deep Learning | Best Researcher Award

Doctorate at Sejong University, South Korea

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Publications

A comprehensive survey on affective computing; challenges, trends, applications, and future directions

  • Authors: Sitara Afzal, Haseeb Ali Khan, Md Jalil Piran, Jong Weon Lee
  • Journal: IEEE access
  • Year: 2024

Construction of a uniform zeolitic imidazole framework (ZIF-8) nanocrystal through a wet chemical route towards supercapacitor application

  • Authors: Iqra Rabani, Je-Won Lee, Taeyoon Lim, Hai Bang Truong, Sobia Nisar, Sitara Afzal, Young-Soo Seo
  • Journal: RSC advances
  • Year: 2024

Leveraging Augmented Reality, Semantic-Segmentation, and VANETs for Enhanced Driver’s Safety Assistance.

  • Authors: Sitara Afzal, Imran Ullah Khan, Irfan Mehmood, Jong Weon Lee
  • Journal: Computers, Materials & Continua
  • Year: 2024

PlantView: Integrating deep learning with 3D modeling for indoor plant augmentation

  • Authors: Sitara Afzal, Haseeb Ali Khan, Jong Weon Lee
  • Journal: Ecological Informatics
  • Year: 2024

Deep-learning-assisted business intelligence model for cryptocurrency forecasting using social media sentiment

  • Authors: Muhammad Yasir, Muhammad Attique, Khalid Latif, Ghulam Mujtaba Chaudhary, Sitara Afzal, Kamran Ahmed, Farhan Shahzad
  • Journal: Journal of Enterprise Information Management
  • Year: 2023

Dr. Anup Paul | Designing Compounds | Best Researcher Award

Dr. Anup Paul | Designing Compounds | Best Researcher Award

Doctorate at HMR Institute of Techonology and Management, India

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Scopus

Orcid

Dextrosinistral Reading of SMILES Notation: Investigation into Origin of Non-Sense Code from String Manipulations

  • Author: Anup Paul
    Journal: Digital Chemical Engineering
    Year: 2025

Malignancy prediction among tissues from Oral SCC patients including neck invasions: a <sup>1</sup>H HRMAS NMR based metabolomic study.

  • Author: Anup Paul
    Journal: Metabolomics: Official Journal of the Metabolomic Society
    Year: 2020

Alteration in lipid composition differentiates breast cancer tissues: a ¹H HRMAS NMR metabolomic study

  • Author: Anup Paul
    Journal: Metabolomics: Official Journal of the Metabolomic Society
    Year: 2018

Dr. Recai Yilmaz | Applications of Computer Vision | Best Researcher Award

Dr. Recai Yilmaz | Applications of Computer Vision | Best Researcher Award

Doctorate at Children’s National Hospital, Washington, D.C, United States

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🎓 Early Academic Pursuits

Dr. Recai Yilmaz’s academic journey began with a strong foundation in medicine, earning his M.D. from Istanbul Faculty of Medicine in 2017. His passion for medical innovation led him to pursue a Ph.D. in Experimental Surgery at McGill University, focusing on neurosurgical simulation and artificial intelligence. His early education at Private Anafen Gaye High School in Istanbul, where he was a full-scholarship student, demonstrated his academic excellence from a young age.

💼 Professional Endeavors

Dr. Yilmaz has amassed extensive experience at the intersection of medicine, artificial intelligence, and computer vision. As a Postdoctoral Research Fellow at Children’s National Medical Center, Washington, D.C., he applies computer vision and machine learning to intraoperative surgical video analysis, aiming to improve real-time surgical performance assessment. His tenure at MultiCIM Technologies Inc. (CareChain) further reflects his leadership in integrating AI into patient triage and clinical decision-making systems.

🔬 Contributions and Research Focus

Dr. Yilmaz’s research is centered on AI-driven surgical assessment, medical data organization, and neurosurgical simulation. At McGill University’s Neurosurgical Simulation and Artificial Intelligence Learning Centre, he developed virtual reality surgical simulation models, advanced AI-based assessment tools, and real-time feedback mechanisms for neurosurgical expertise evaluation. His research also includes cloud-based medical data management and optical flow analysis in surgical procedures.

🌍 Impact and Influence

His pioneering work has significantly influenced AI applications in surgery and clinical decision-making. By integrating computer vision and deep learning into medical practice, he has improved the efficiency and accuracy of surgical skill evaluation, patient triage, and clinical outcome prediction. His projects have not only enhanced surgical education but also contributed to safer and more effective surgical procedures worldwide.

📚 Academic Citations and Recognitions

Dr. Yilmaz has been recognized with numerous awards and grants, including the prestigious Innovator of the Year Award (2023) by the Congress of Neurological Surgeons and research funding from the Brain Tumour Foundation of Canada and the Royal College of Physicians and Surgeons of Canada. His work has been published in high-impact journals and conferences, advancing the field of AI in medicine.

💻 Technical Expertise

  • Artificial Intelligence & Machine Learning (Medical AI applications, Neural Networks)
  • Computer Vision & Image Processing (Surgical video analysis, Optical flow)
  • Programming Languages (Python, MATLAB, C++, IBM SPSS)
  • Statistical Analysis & Data Science (AI-driven performance assessment, Data modeling)

🎓 Teaching and Mentorship

Dr. Yilmaz has actively mentored graduate students, medical researchers, and undergraduate students in AI, neurosurgical simulation, and data analysis. His mentorship spans institutions such as McGill University and Marianopolis College, where he has guided students in machine learning applications, research methodologies, and clinical AI integration.

🌟 Legacy and Future Contributions

Dr. Yilmaz’s legacy lies in his commitment to bridging AI and medicine. His contributions to surgical performance evaluation, AI-driven triage systems, and neurosurgical education continue to shape the future of AI-assisted medical practice. Moving forward, he aims to expand AI integration in real-time surgical decision-making, enhance global accessibility to AI-driven surgical training, and pioneer intelligent healthcare solutions.

 

Publications

AI in surgical curriculum design and unintended outcomes for technical competencies in simulation training

  • Authors:Ali M Fazlollahi, Recai Yilmaz, Alexander Winkler-Schwartz, Nykan Mirchi, Nicole Ledwos, Mohamad Bakhaidar, Ahmad Alsayegh, Rolando F Del Maestro
  • Journal: JAMA network open
  • Year: 2023

Utilizing artificial intelligence and electroencephalography to assess expertise on a simulated neurosurgical task

  • Authors: Sharif Natheir, Sommer Christie, Recai Yilmaz, Alexander Winkler-Schwartz, Khalid Bajunaid, Abdulrahman J Sabbagh, Penny Werthner, Jawad Fares, Hamed Azarnoush, Rolando Del Maestro
  • Journal: Computers in Biology and Medicine
  • Year: 2023

O022 real-time artificial intelligence instructor vs expert instruction in teaching of expert level tumour resection skills–a randomized controlled trial

  • Authors: R Yilmaz, M Bakhaidar, A Alsayegh, R Del Maestro
  • Journal: British Journal of Surgery
  • Year: 2023

Effect of artificial intelligence tutoring vs expert instruction on learning simulated surgical skills among medical students: a randomized clinical trial

  • Authors: Ali M Fazlollahi, Mohamad Bakhaidar, Ahmad Alsayegh, Recai Yilmaz, Alexander Winkler-Schwartz, Nykan Mirchi, Ian Langleben, Nicole Ledwos, Abdulrahman J Sabbagh, Khalid Bajunaid, Jason M Harley, Rolando F Del Maestro
  • Journal: JAMA network open
  • Year: 2022

Assessment of learning curves on a simulated neurosurgical task using metrics selected by artificial intelligence

  • Authors: Nicole Ledwos, Nykan Mirchi, Recai Yilmaz, Alexander Winkler-Schwartz, Anika Sawni, Ali M Fazlollahi, Vincent Bissonnette, Khalid Bajunaid, Abdulrahman J Sabbagh, Rolando F Del Maestro
  • Journal: Journal of neurosurgery
  • Year: 2022

Prof. Pan Liang | Biomedical | Best Researcher Award

Prof. Pan Liang | Biomedical | Best Researcher Award

Professor at University of Electronic Science and Technology of China, China

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Core-shell transition metal disulfide grafted carbon matrix composite as an anode material for high-performance lithium-ion batteries

  • Author: M. Pantrangi, Manasa; E. Ashalley, Eric; W. Hafiz, Wail; L. Pan, Liang; Z. Wang, Zhiming
    Journal: Journal of Energy Storage
    Year: 2025

Photo-responsive superhydrophobic films for soft robotics: A new approach to remote actuation and multifunctional performance

  • Author: J. Wang, Jiaying; Y. Zhang, Yue; Y. Gu, Youming; A. Neogi, Arup; Z. Wang, Zhiming
    Journal: Chemical Engineering Journal
    Year: 2025

Flexible micro-supercapacitors: Materials and architectures for smart integrated wearable and implantable devices

  • Author: M. Pantrangi, Manasa; E. Ashalley, Eric; M.K. Hadi, Mohammed Kamal; L. Pan, Liang; Z. Wang, Zhiming
    Journal: Energy Storage Materials
    Year: 2024

Ultrasensitive Near-Infrared Polarization Photodetectors with Violet Phosphorus/InSe van der Waals Heterostructures

  • Author: W. Ahmad, Waqas; M.U. Rehman, Majeed Ur; L. Pan, Liang; Z. Wang, Zhiming; Q. Liang, Qijie
    Journal: ACS Applied Materials and Interfaces
    Year: 2024

Prof. Xiao Huang | Robot Learning and Intelligence | Best Researcher Award

Prof. Xiao Huang | Robot Learning and Intelligence | Best Researcher Award

Professor at Beijing Institute of Technology, China

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Scopus

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Robust motion learning for musculoskeletal robots based on a recurrent neural network and muscle synergies

  • Author: J Chen, Y Wu, C Yao, X Huang*
    Journal: IEEE Transactions on Automation Science and Engineering
    Year: 2024

A Goal-conditioned Policy Search Method with Multi-timescale Value Function Tuning

  • Author: Zhihong Jiang, Jiachen Hu, Yan Zhao, Xiao Huang*, Hui Li*
    Journal: Robotic Intelligence and Automation
    Year: 2024

A Fast Coordinated Motion Planning Method for Dual-Arm Robot Based on Parallel Constrained DDP

  • Author: Yunlai Wang, Hui Li, Yan Zhao, Xuechao Chen, Xiao Huang*, Zhihong Jiang*
    Journal: IEEE/ASME Transactions on Mechatronics
    Year: 2023

A method of human-like compliant assembly based on variable admittance control for space maintenance

  • Author: Cao X, Huang X*, Zhao Y, Sun Z, Li H, Jiang Z*
    Journal: Cyborg and Bionic Systems
    Year: 2023

Joint Optic Disc and Cup Segmentation Based on Elliptical-like Morphological Feature and Spatial Geometry Constraint

  • Author: Aidi Zhao, Hong Su, Chongyang She, Xiao Huang*, Hui Li, Huaiyu Qiu, Zhihong Jiang, Gao Huang*
    Journal: Computers in Biology and Medicine
    Year: 2023

Dr. Lei xiang | Deep Learning | Best Researcher Award

Dr. Lei xiang | Deep Learning | Best Researcher Award

Doctorate at Subtle Medical, Inc, United States

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Publications

Multimodal MRI reconstruction assisted with spatial alignment network

  • Authors: Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang
  • Journal: IEEE Transactions on Medical Imaging
  • Year: 2022

Task decomposition and synchronization for semantic biomedical image segmentation

  • Authors: Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen
  • Journal: IEEE Transactions on Image Processing
  • Year: 2020

Noise-aware standard-dose PET reconstruction using general and adaptive robust loss

  • Authors: Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang
  • Journal: Machine Learning in Medical Imaging
  • Year: 2020

Deep learning for fast and spatially constrained tissue quantification from highly accelerated data in magnetic resonance fingerprinting

  • Authors: Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen
  • Journal: IEEE transactions on medical imaging
  • Year: 2019

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image

  • Authors: Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, Dinggang Shen
  • Journal: Medical image analysis
  • Year: 2018

Prof Dr. Byungjun Park | Industrial | Best Researcher Award

Prof Dr. Byungjun Park| Industrial | Best Researcher Award

Sungkyunkwan University, South Korea

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Scopus

Publications

AI-Smart Factory: Design and verification of Korean SME AI smart factory using level diagnosis system

  • Authors: B. Park, T. Kim, J. Jeong

Prof. Gordon Bryan Young | Biomedical | Best Researcher Award

Prof. Gordon Bryan Young | Biomedical | Best Researcher Award

Professor at Western University, Canada

👨‍🎓 Profiles

Scopus

Detection of Atrial Fibrillation in Routine EEG Recordings

  • Author: M. Shelig, M. Ames, G.B. Young
    Journal: Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques
    Year: 2023

Early identification of NORSE and transfer to care setting with appropriate supports: A proposed algorithm

  • Author: S.A. Vinette, G.B. Young, H. Khosravani
    Journal: Frontiers in Neurology
    Year: 2023

Functional Neuroimaging as an Assessment Tool in Critically Ill Patients

  • Author: L.E. Norton, K. Kazazian, T.E. Gofton, G.B. Young, A.M. Owen
    Journal: Annals of Neurology
    Year: 2023

Mr. Muhammad Rizwan | Deep Learning | Best Researcher Award

Publications

Enhancing Indoor Localization with Temporally-Aware Separable Group Shuffled CNNs and Skip Connections

  • Authors: Muhammad Rizwan, Yin Hoe Ng, Hin-Yong Wong, Chee Keong Tan
  • Journal: IEEE Access
  • Year: 2025

Automatic plant disease detection using computationally efficient convolutional neural network

  • Authors: Muhammad Rizwan, Samina Bibi, Sana Ul Haq, Muhammad Asif, Tariqullah Jan, Mohammad Haseeb Zafar
  • Journal: Engineering Reports
  • Year: 2024

Appearance Based Dynamic Hand Gesture Recognition Using 3D Separable Convolutional Neural Network.

  • Authors: Muhammad Rizwan, Sana Ul Haq, Noor Gul, Muhammad Asif, Syed Muslim Shah, Tariqullah Jan, Naveed Ahmad
  • Journal: Computers, Materials & Continua
  • Year: 2023