Mojca Škerget | Hydrothermal Recycling | Best Researcher Award

Prof Dr. Mojca Škerget, Hydrothermal Recycling, Best Researcher Award

Professor at University of Maribor, Faculty of Chemistry and Chemical Engineering, Slovenia

Summary:

Prof. Dr. Mojca Škerget is a distinguished chemical engineer with a PhD from the University of Maribor. She has been a full professor at the same university since 2012 and has led the Chair of Chemical Engineering since 2015. Her significant contributions to the field have earned her numerous awards, including the Zois Certificate of Recognition and the Golden Award of the University of Maribor. She is an internationally recognized researcher, with over 5700 citations and an h-index of 31, reflecting her influence in the field. Prof. Škerget’s research spans a wide range of topics within chemical engineering, particularly focusing on advanced separation processes, hydrothermal treatment of organic waste, and the study of thermodynamic and mass transport phenomena. She is an active member of several professional bodies and continues to contribute to strategic initiatives in Slovenia aimed at transitioning to a circular economy.

Professional Profile:

👩‍🎓Education:

PhD in Chemical Engineering

  • University of Maribor, Slovenia
    2000

Master’s Degree in Chemical Engineering

  • University of Maribor, Slovenia
    1993

Bachelor’s Degree in Chemical Engineering

  • University of Maribor, Slovenia
    1990

Professional Experience:

Prof. Dr. Mojca Škerget has been a full professor of Chemical Engineering at the University of Maribor since 2012, where she teaches compulsory courses such as Thermodynamics, Mass Transfer, and Separation Processes, along with elective courses. She has been the Head of the Chair of Chemical Engineering from 2015 to 2024. Prof. Škerget has been recognized with numerous accolades for her contributions to science and engineering, including the Zois Certificate of Recognition and the Golden Award of the University of Maribor. She was acknowledged as a Highly Cited Researcher by Clarivate Analytics. Her expertise has been sought in various prestigious bodies, including the Scientific Council for Engineering Sciences and Technologies at the Slovenian Research Agency and the Strategic Development Innovation Partnership for Circular Economy.

Research Interest:

Prof. Škerget’s research encompasses the design and optimization of conventional and high-pressure processes with sub- and supercritical fluids, focusing on separation processes, micronization, crystallization, active ingredient encapsulation, and controlled release. She is also deeply involved in hydrothermal processes for converting organic waste into valuable products using sub- and supercritical water, exploring processes such as carbonization, water reforming, hydrolysis, liquefaction, and gasification. Additionally, her work covers the study of thermodynamic properties, phase equilibria, and mass transport phenomena.

Top Noted Publication:

Chemical Recycling of Polyolefins Waste Materials Using Supercritical Water

  • Čolnik, M., Kotnik, P., Knez, Ž., Škerget, M.
  • Polymers, 2022, 14(20), 4415
  • Citations: 9

Degradation of Polyvinyl Chloride (PVC) Waste with Supercritical Water

  • Čolnik, M., Kotnik, P., Knez, Ž., Škerget, M.
  • Processes, 2022, 10(10), 1940
  • Citations: 9

Sustainable Industrial Ecology and Environmental Analysis: A Case of Melamine Etherified Resin Fibres

  • Vujanović, A., Puhar, J., Čolnik, M., Škerget, M., Čuček, L.
  • Journal of Cleaner Production, 2022, 369, 133301
  • Citations: 4

Hop (Humulus lupulus L.) Essential Oils and Xanthohumol Derived from Extraction Process Using Solvents of Different Polarity

  • Bizaj, K., Škerget, M., Košir, I.J., Knez, Ž.
  • Horticulturae, 2022, 8(5), 368
  • Citations: 10

Fragmentation of Disposed Plastic Waste Materials in Different Aquatic Environments

  • Plohl, O., Sep, N., Zemljič, L.F., Čuček, L., Valh, J.V.
  • Chemical Engineering Transactions, 2022, 94, pp. 1249–1254
  • Citations: 4

Xiang Yu | Controlled Release | Best Researcher Award

Dr. Xiang Yu, Controlled Release, Best Researcher Award

Doctorate at Huzhou Central Hospital, China

Summary:

Dr. Xiang Yu is a pharmaceutical scientist specializing in the development of advanced drug delivery systems aimed at countering the adverse effects of ionizing radiation. He earned his Ph.D. in Pharmaceutical Sciences from Shenyang Pharmaceutical University in 2020. Since then, he has been contributing to cutting-edge research at the Clinical Trial Center of Huzhou Central Hospital, affiliated with Zhejiang University School of Medicine. Dr. Yu’s innovative work in anti-radiation therapy earned him the prestigious “Leading Medical Talents in South Taihu Lake” award in 2021. His dedication to improving therapeutic approaches reflects his commitment to advancing medical science and enhancing patient care.

Professional Profile:

👩‍🎓Education:

Ph.D. in Pharmaceutical Sciences

  • Shenyang Pharmaceutical University, 2016-2020

Professional Experience:

Dr. Xiang Yu is currently working at the Clinical Trial Center at Huzhou Central Hospital, which is affiliated with Huzhou Hospital and Zhejiang University School of Medicine in Huzhou. Since joining the institution in 2020, Dr. Yu has been deeply involved in clinical trials focusing on the development of innovative anti-radiation drug delivery systems. His role involves designing, conducting, and analyzing clinical studies aimed at assessing the efficacy and safety of these advanced therapies. His work is pivotal in translating novel pharmaceutical innovations from the lab to clinical settings, ensuring they meet the highest standards of medical care and efficacy.

Research Interest:

Dr. Xiang Yu’s research interests lie in the in-depth exploration of innovative anti-radiation drug delivery systems. He focuses on their design and efficacy in mitigating the detrimental effects of ionizing radiation, aiming to develop more effective treatments to protect patients from radiation-related damage.

Awards and Honors:

  • Leading Medical Talents in South Taihu Lake, 2021

Top Noted Publication:

Estriol Dissolving Microneedle Patches for Protection Against Ionizing Radiation-Induced Injury

  • Authors: Zhu, L., Yu, X., Li, Q., Jin, Y., Du, L.
  • Journal: European Journal of Pharmaceutical Sciences
  • Year: 2021
  • Volume: 163
  • Article Number: 105881
  • Citations: 4

Facile Preparation of Solid Dispersions by Dissolving Drugs in N-vinyl-2-pyrrolidone and Photopolymerization

  • Authors: Fang, R., Liu, Y., Ma, L., Yu, X., Jin, Y.
  • Journal: Materials Science and Engineering C
  • Year: 2021
  • Volume: 124
  • Article Number: 112063
  • Citations: 5

Minimally Invasive Dissolving Microneedles for Ocular Brinzolamide Delivery

  • Authors: Li, M.-S., Yu, X., Jin, Y.-G., Wu, Z.-H.
  • Journal: Yaoxue Xuebao
  • Year: 2021
  • Volume: 56
  • Issue: 3
  • Pages: 849–854
  • Citations: 3

Inhalable Jojoba Oil Dry Nanoemulsion Powders for the Treatment of Lipopolysaccharide- or H2O2-Induced Acute Lung Injury

  • Authors: Zhang, G., Xie, F., Sun, Y., Du, L., Jin, Y.
  • Journal: Pharmaceutics
  • Year: 2021
  • Volume: 13
  • Issue: 4
  • Article Number: 486
  • Citations: 17

Ocular Lamellar Crystalline Gels for Sustained Release and Enhanced Permeation of Resveratrol Against Corneal Neovascularization

  • Authors: Li, M., Yu, X., Zhu, L., Jin, Y., Wu, Z.
  • Journal: Drug Delivery
  • Year: 2021
  • Volume: 28
  • Issue: 1
  • Pages: 206–217
  • Citations: 8

Sumeesha Jaswal | Psychosis | Best Research Article Award

Dr. Sumeesha Jaswal, Psychosis, Best Research Article Award

Doctorate at Indira Gandhi Medical College and hospital, India

Summary:

Dr. Sumeesha Jaswal is a dedicated psychiatrist with a passion for advancing knowledge and improving patient care in the field of mental health. With a strong academic background and research acumen, she has already made significant contributions to the understanding of the immunological aspects of psychiatric disorders. Outside of her professional pursuits, she enjoys writing poetry and reading novels, having published poems in renowned newspapers and authored a book titled “Reverie.” She has also demonstrated her commitment to academic and public engagement by hosting development programs and delivering educational lectures on mental health topics.

Professional Profile:

👩‍🎓Education:

Dr. Sumeesha Jaswal completed her MD in Psychiatry from Government Medical College and Hospital, Sector 32, Chandigarh, India, from May 2019 to May 2022. She secured the first position in Panjab University and focused her thesis on the effects of clozapine on immunoglobulins and interleukin levels and its clinical correlation in patients with schizophrenia. Prior to her specialization, she earned her MBBS degree from Indira Gandhi Medical College and Hospital, Shimla, Himachal Pradesh, India, from August 2013 to December 2018. She excelled throughout her MBBS, securing the first position in Himachal Pradesh University in the First and Second Professional years, with distinctions in Biochemistry and Forensic Medicine. She was also awarded the “Sri Tribhuvan Nath Bhatnagar Memorial Grant” and participated in various academic activities, including winning the IAPSM-World TB Day Quiz.

Professional Experience:

Dr. Sumeesha Jaswal currently serves as a Senior Resident in the Department of Psychiatry at Indira Gandhi Medical College and Hospital, Shimla, Himachal Pradesh, India, since November 2022. Previously, she held the position of Senior Resident in the Department of Psychiatry at the prestigious Post Graduate Institute of Medical Education and Research, Chandigarh, India, from July 2022 to October 2022.

Research Interest:

Dr. Jaswal’s research interests lie in the intersection of psychiatry and immunology, particularly focusing on the effects of psychotropic medications on immune parameters in psychiatric disorders like schizophrenia. Her MD thesis on the effects of clozapine on immunoglobulins and interleukin levels showcases her commitment to exploring novel treatment avenues in mental health.

Top Noted Publication:

Title: “COVID vaccination and mental health: An Indian perspective”

  • Authors: Singh, G.P., Jaswal, S.
  • Journal: Asian Journal of Psychiatry
  • Year: 2022
  • Volume: 67
  • Pages: 102950
  • Open access
  • Citations: 9

Title: “Ganser syndrome: Intricacy in diagnosis and management”

  • Authors: Sidana, A., Jaswal, S.
  • Journal: Indian Journal of Psychiatry
  • Year: 2021
  • Volume: 63
  • Issue: 1
  • Pages: 103–104
  • Open access

Amarachi Madu | Automated Intelligence | Best Researcher Award

Mrs. Amarachi Madu, Automated Intelligence, Best Researcher Award

Amarachi Madu at Virginia Tech, United States

Summary:

Mrs. Amarachi Madu is a Ph.D. candidate in Computer Science at Virginia Tech, with a strong background in mathematics and computer science. With a keen interest in artificial intelligence and its applications, she has conducted groundbreaking research in various domains including finance, healthcare, and human-computer interaction. With a Master’s degree from Austin Peay State University and a Bachelor’s degree from Nnamdi Azikiwe University, she brings a diverse skill set encompassing programming, data analytics, machine learning, and statistical analysis. Amarachi is passionate about leveraging cutting-edge technologies to address real-world challenges and improve human lives.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Science

  • University: Virginia Tech, Blacksburg, VA
  • Duration: 8/2020 – Present
  • GPA: 3.93/4.0

Master of Science in Computer Science and Quantitative Methods

  • University: Austin Peay State University, Clarksville, TN
  • Duration: 8/2018 – 5/2020
  • GPA: 4.0/4.0

Bachelor of Science in Mathematics

  • University: Nnamdi Azikiwe University, Awka, Nigeria
  • Duration: 9/2010 – 9/2014
  • GPA: 4.72/5.0

Professional Experience:

Mrs. Amarachi Madu has accumulated a wealth of professional experience across various prestigious institutions and organizations:

As an AI Research Summer Associate at JPMorgan Chase & Co from June 2023 to August 2023, she conducted groundbreaking research in financial services, focusing on complex problems in the finance domain in collaboration with the natural language processing team.

Currently, she serves as a Graduate Research Assistant at Virginia Tech, Blacksburg, VA since January 2023, where she contributes to cutting-edge AI research.

Prior to her role at Virginia Tech, she was a Graduate Teaching Assistant at Virginia Tech from August 2020 to December 2022, where she played a key role in teaching information visualization, problem-solving in computer science, introduction to programming in Java, and data analytics and visualization.

Previously, she also worked as an AI Research Summer Associate at JPMorgan Chase & Co from June 2022 to August 2022, focusing on AI research in financial services, particularly collaborating with the natural language processing team on research problems in finance.

During her tenure as a Summer Extern at AT&T from July 2021 to August 2021, she underwent extensive training in various business and technical aspects to enhance personal and professional development.

Her journey in research began as a Graduate Research Assistant at Austin Peay State University, Clarksville, TN from August 2018 to May 2020, where she facilitated structured learning sessions for students and contributed to advancements in research, particularly in the application of linear multi-step methods and statistical analysis.

Through these roles, Mrs. Amarachi Madu has demonstrated her commitment to advancing knowledge in artificial intelligence, natural language processing, and related fields, while also gaining valuable experience in teaching, research, and industry collaboration.

Research Interest:

  • Artificial Intelligence
  • Natural Language Processing
  • Multi-modal Machine Learning
  • Medical Imaging
  • Human-Computer Interaction

Top Noted Publication:

Title: ChatGPT passing USMLE shines a spotlight on the flaws of medical education

  • Authors: AB Mbakwe, I Lourentzou, LA Celi, OJ Mechanic, A Dagan
  • Journal: PLOS Digital Health
  • Volume: 2
  • Issue: 2
  • Page: e0000205
  • Year: 2023

Title: Chexrelnet: An anatomy-aware model for tracking longitudinal relationships between chest x-rays

  • Authors: G Karwande, AB Mbakwe, JT Wu, LA Celi, M Moradi, I Lourentzou
  • Conference: International Conference on Medical Image Computing and Computer-Assisted
  • Year: 2022

Title: Fairness metrics for health AI: we have a long way to go

  • Authors: AB Mbakwe, I Lourentzou, LA Celi, JT Wu
  • Journal: EBioMedicine
  • Volume: 90
  • Page: 9
  • Year: 2023

Title: Enhancing mathematics achievement of introverted and extroverted secondary school students through the use of advance organizers

  • Authors: OE Chinelo, ON Francisca, MA Blessing
  • Journal: Journal of Educational Research and Reviews
  • Volume: 4
  • Issue: 3
  • Page: 27-32
  • Year: 2016

Jing Li | Autism Spectrum Disorder | Best Researcher Award

Assoc Prof Dr. Jing Li, Autism Spectrum Disorder , Best Researcher Award

Associate Professor at Institute of Psychology, Chinese Academy of Sciences, China

Summary:

Jing Li, a member of the Communist Party of China, is an accomplished Associate Researcher and Ph.D. Supervisor at the Institute of Psychology, Chinese Academy of Sciences. With a rich educational background in developmental and educational psychology, she has made significant contributions to research focusing on autism spectrum disorder and children’s social behavior. Her dedication to academic excellence has earned her scholarships and honors at both institutional and national levels throughout her career.

Professional Profile:

👩‍🎓Education:

Jing Li holds a Ph.D. in Developmental and Educational Psychology from the Institute of Psychology, Chinese Academy of Sciences (2009.09-2012.07). Prior to her doctoral studies, she obtained a Master’s degree in Developmental and Educational Psychology from Tianjin Normal University (2006.09-2009.07) and a Bachelor’s degree in Applied Psychology from the same institution (2002.09-2006.07).

Professional Experience:

As an Associate Researcher and Ph.D. Supervisor at the Institute of Psychology, Chinese Academy of Sciences, Jing Li has been actively engaged in research and academic supervision since 2018. Prior to her current role, she served as an Assistant Researcher at the same institute from 2012.07 to 2018.07. She also enriched her experience as a Visiting Scholar at the Max Planck Institute for Evolutionary Anthropology in Germany from 2014.07 to 2015.07.

Research Interest:

Jing Li’s research interests primarily revolve around autism spectrum disorder and children’s social behavior. She has been involved as a Principal Investigator in multiple research projects funded by prestigious organizations such as the Chinese Academy of Sciences and the National Natural Science Foundation of China. Additionally, she has participated in various national and international research initiatives, including the National Key Research and Development Program and the Major Program of the National Social Science Foundation of China.

Top Noted Publication:

Title: “The epistemic trust of 3-to 6-year-olds in digital voice assistants in various domains”

  • Authors: Li, Z.; Liu, Z.; Mao, K.; Li, T.; Li, J.
  • Journal: Acta Psychologica Sinica
  • Year: 2023
  • Volume: 55
  • Issue: 9
  • Pages: 1411–1423

Title: “Joint intention understanding in children with autism spectrum disorder”

  • Authors: Hou, W.; Li, X.; Yang, Y.; Li, J.
  • Journal: Autism Research
  • Year: 2023
  • Volume: 16
  • Issue: 9
  • Pages: 1707–1718

Title: “Effects of Interactive Reading Interventions on Oral Communication in Preschool Children with Autism Spectrum Disorders”

  • Authors: Liang, S.; Li, J.
  • Journal: Chinese General Practice
  • Year: 2023
  • Volume: 26
  • Issue: 23
  • Pages: 2943–2950

Title: “Atypical interpersonal synchronization and its neural mechanism in children with autism spectrum disorder”

  • Authors: Zhao, L.; Li, J.
  • Journal: Zhongguo Ertong Baojian Zazhi
  • Year: 2023
  • Volume: 31
  • Issue: 3
  • Pages: 274–278

Title: “Cognitive Benefit of a Multidomain Intervention for Older Adults at Risk of Cognitive Decline: A Cluster-Randomized Controlled Trial”

  • Authors: Liu, X.; Ma, Z.; Zhu, X.; Qiu, C.; Li, J.
  • Journal: American Journal of Geriatric Psychiatry
  • Year: 2023
  • Volume: 31
  • Issue: 3
  • Pages: 197–209

Vinay Kumar | Agricultural Engineering | Best Researcher Award

Dr. Vinay Kumar, Agricultural Engineering, Best Researcher Award

Doctorate at SKUAST Jammu: Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, India

Summary:

Dr. Vinay Kumar is a dedicated researcher and agricultural engineer with a passion for developing innovative solutions to improve farming practices. His academic background and research interests focus on leveraging sensor technology, data analytics, and precision farming techniques to address challenges in agriculture, particularly in hilly terrains. Dr. Kumar has received recognition for his contributions to the field, including awards, memberships, and appointments to editorial boards. He actively shares his knowledge and expertise through keynote speeches and educational initiatives aimed at promoting sustainable agriculture and technology adoption in farming communities.

Professional Profile:

👩‍🎓Education:

Ph.D. in Farm Machinery and Power Engineering

  • University: Punjab Agricultural University, Ludhiana, India
  • Year: 2022

M. Tech. in Farm Machinery and Power Engineering

  • University: SKUAST-Kashmir (J&K), India
  • Year: 2017

B. Tech. in Agricultural Engineering

  • University: SKUAST-Kashmir (J&K), India
  • Year: 2014

Professional Experience:

Dr. Vinay Kumar has significant expertise in agricultural engineering, specializing in farm machinery and power engineering. He has engaged in research, development, and evaluation of agricultural technologies aimed at enhancing resource conservation and efficiency in farming practices. His professional journey includes collaborations with industry partners and academic institutions to address challenges in agricultural mechanization and precision farming.

Research Interest:

  • Sensor-Based Machinery for Resource and Soil Conservation
  • Precision Agriculture Technology
  • Precision Farming
  • Development of Manual Implements for Hill Agriculture
  • Energy Audit for Different Agricultural Operations

Top Noted Publication:

Estimation of Spatial Variability of Soil Profile Using Hydraulic Operated Real-Time Dual Sensor Based Integrated System

  • Journal: Journal of The Institution of Engineers (India): Series A
  • Year: 2024 (Article in Press)

Development of a Control Panel System and Android Bluetooth App for Real-Time Integrated Sensors

  • Journal: Current Science
  • Year: 2023
  • Volume: 125
  • Issue: 12
  • Pages: 1388–1390

Gaurav Sinha | Data Interpretation | Best Researcher Award

Mr. Gaurav Sinha, Data Interpretation, Best Researcher Award

Gaurav Sinha at Amazon Web Services, United States

Summary:

Mr. Gaurav Sinha is a highly skilled Database Specialist with a strong background in cloud migrations, database architecture, and performance optimization. With a Bachelor of Engineering from BIT Mesra Ranchi and a series of AWS certifications, he possesses comprehensive expertise in designing and implementing database solutions on AWS. His experience spans from troubleshooting complex database issues to architecting large-scale, mission-critical environments. Mr. Sinha’s dedication to excellence and his ability to deliver innovative solutions make him a valuable asset in the field of cloud computing and database management.

Professional Profile:

👩‍🎓Education:

Bachelor of Engineering

  • BIT Mesra Ranchi

Professional Experience:

Mr. Gaurav Sinha is a seasoned Database Specialist with extensive experience in cloud migrations, database architecture, and performance optimization. Currently serving as a Senior Database Migration Consultant at Amazon Web Services in Houston, TX, he provides expertise on heterogeneous database migrations to AWS, designs migration solutions for customer databases, and addresses complex challenges around large-scale cloud migrations. He takes ownership of end-to-end delivery of migration projects, profiles and benchmarks customer databases, and identifies performance bottlenecks. His role involves architecting optimal AWS infrastructure and tuning database platform configurations for post-migration performance.

Prior to his role at AWS, Mr. Sinha worked as a Senior Database Administrator at Tata Consultancy Services, where he honed his skills in database tuning, troubleshooting, and migration. He designed and implemented data modeling, data warehouses, and provided intensive support for Oracle databases. His responsibilities included performance tuning, backup and recovery, and root cause analysis of internal errors. He also led the migration of databases to AWS RDS and VMs hosting databases to AWS EC2.

Research Interest:

Database Migration Strategies: Investigating various approaches and methodologies for migrating databases to cloud platforms like AWS, focusing on optimizing performance, minimizing downtime, and ensuring data integrity during the migration process.

Performance Optimization in Cloud Databases: Exploring techniques to optimize the performance of databases hosted on cloud platforms, such as fine-tuning database configurations, optimizing query execution plans, and leveraging cloud-native features for scalability and performance.

Data Security and Compliance in Cloud Environments: Researching best practices and technologies for ensuring data security, privacy, and compliance with regulatory requirements (such as GDPR or HIPAA) in cloud-based database environments, including encryption, access control, and auditing mechanisms.

Scalability and Elasticity of Cloud Databases: Investigating strategies for designing and managing highly scalable and elastic databases in cloud environments, including auto-scaling, sharding, and distributed database architectures.

Hybrid Cloud Database Solutions: Studying hybrid cloud architectures that integrate on-premises databases with cloud-based solutions, examining challenges and opportunities related to data synchronization, data consistency, and workload management across hybrid environments.

Database-as-a-Service (DBaaS) Models: Analyzing the benefits and challenges of adopting DBaaS models, such as managed database services offered by cloud providers, and investigating factors influencing organizations’ decisions to migrate to DBaaS solutions.

Machine Learning Applications in Database Management: Exploring the use of machine learning techniques for optimizing database performance, automating database administration tasks, and detecting anomalies or security threats in database systems.

Top Noted Publication:

Automating Root Cause Analysis of Refinery Incidents via Generative Deep Learning and Data Analytics

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 4
  • Issue: 2
  • Year: 2023

Data Analytics-Enhanced Cloud-Native Computational Reservoir Simulation for Accelerated Oil Prospecting

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 4
  • Issue: 2
  • Year: 2023

Utilizing Data Analytics in Computer Vision and Robotics for Autonomous Pipeline Integrity Inspections

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 4
  • Issue: 1
  • Year: 2023

Data Analytics-Driven Optimization of Gas Lift Operations Using Reinforcement Learning for Increased Production Efficiency

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 2
  • Issue: 4
  • Year: 2021

Developing a Data Analytics Framework for Environmental Impact Assessment and Carbon Footprint Reduction in Upstream Operations

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 2
  • Issue: 1
  • Year: 2021

Sadaf Haiyat | Cancer Diagnosis | Best Researcher Award

Assist Prof Dr. Sadaf Haiyat , Cancer Diagnosis, Best Researcher Award

Assistant Professor at Mahamana Pandit Madan Mohan Malviya Cancer Centre /Tata Memorial Hospital Varanasi, India

Summary:

Dr. Sadaf Haiyat is a distinguished pathologist with extensive expertise in hematology, clinical pathology, and molecular pathology. With an MD in Pathology from Aligarh Muslim University, Dr. Haiyat has over seven years of experience in various pathology disciplines, including significant post-MD roles. Notably, Dr. Haiyat has contributed to the field through independent research on Syndecan-1 as a diagnostic biomarker, which has been published as a book. Currently serving as a Consultant Pathologist and Assistant Professor at Tata Memorial Cancer Centre/MPMMCC in Varanasi, Dr. Haiyat is recognized for excellence in pathology practice, quality control, and medical education. Dr. Haiyat has received multiple awards, including the “Young Clinician in Pathology Award” and accolades for research presentations and diagnostic challenges.

Professional Profile:

👩‍🎓Education:

  • MD (Pathology): 2016, Aligarh Muslim University (AMU), Aggregate – 66%
  • MBBS: 2011, Aligarh Muslim University (AMU), Aggregate – 60%

Professional Experience:

Dr. Sadaf Haiyat has a total of 7 years of professional experience in pathology, including 4.5 years post-MD. During her tenure as a Junior Resident at J.N.M.C.H, A.M.U, Aligarh from June 2013 to June 2016, she gained extensive experience teaching undergraduate MBBS and BDS students, conducting practical classes, and participating actively in postgraduate seminars and journal clubs. Her work encompassed a broad range of pathology disciplines, including hematology, leukemia and cytochemistry reporting, peripheral smears, bone marrow aspiration and biopsy reporting, coagulation studies, anemia profile, clinical pathology, chemical pathology, immunology, serology, blood bank, and histopathology.

From April 2017 to April 2020, Dr. Haiyat served as a Senior Resident / Demonstrator at the same institution, where she further honed her skills in hematology, hemato-oncopathology, chemical pathology, clinical pathology, blood bank/transfusion medicine, histopathology, and cytopathology, with additional expertise in frozen sections and immunofluorescence.

As a Laboratory Head and Consultant Pathologist at Popular Multispeciality Hospital, Varanasi, U.P. from August 2020 to May 2021, Dr. Haiyat supervised and approved reports in hematology, biochemistry, clinical pathology, body fluids, and immunology, ensuring strict adherence to quality control measures and ISO 150189:2012 guidelines. She also participated in the administration and management of the laboratory, including the training of technicians and staff.

In her subsequent role as a Consultant Pathologist at Dr. Lal Path NRL, Reference Lab, New Delhi from August 2021 to February 2021, Dr. Haiyat independently reported on various pathology disciplines including hematology, peripheral smears, bone marrow aspiration, biopsies, clinical pathology, cytopathology, histopathology, and oncopathology.

Currently, Dr. Haiyat serves as a Consultant Pathologist and Assistant Professor at Tata Memorial Cancer Centre/MPMMCC, Varanasi, Uttar Pradesh, where she has started a Molecular Pathology Lab. Her responsibilities include independently reporting on histopathology, oncopathology, hematology, hemato-oncology, peripheral smears, cytochemistry, bone marrow aspiration, biopsies, immunophenotyping interpretation, and coagulation testing. Additionally, she supervises audits for NABL Pathology, participates in EQAS of CAP and NABL, and is involved in multidisciplinary meetings, training of residents and technical staff, teaching, research, and administrative work.

Research Interest:

  • Hematology and Hemato-Oncopathology
  • Diagnostic Biomarkers
  • Clinical and Chemical Pathology
  • Cytopathology and Histopathology
  • Molecular Pathology
  • Blood Bank and Transfusion Medicine
  • Quality Control in Pathology Laboratories

Awards:

“Young Clinician in Pathology Award” at the 2nd Annual Medical Summit and Venus International Medical Awards, Park Hyatt, Chennai, 6th April 2019.

World Championship 2018 in Hematology for the research article titled “A challenging case of Hemophilia A with first presentation at the age of 16 as monoarticular hemophiliac arthropathy: A diagnostic enigma” by the Journal for Hematology.

1st Prize in Oral Paper Presentation on “A Cytological and Histomorphological Case Study Of an Unusual Occurrence of Gonadoblastoma with Seminoma and Yolk Sac Tumor In An Anatomically Normal Male Child” at UP CYTOCON 2015, 3rd Annual Conference Of Indian Academy Of Cytopathologists, 13th September 2015.

Best Poster Award entitled “Cryptococcal Meningitis Presenting As Multiple Fractures in an Immunocompetent Individual-An Unusual Presentation” at NEUROCON 2015, XXI Annual Conference of Neuroscience Society (UP & UK), J.N.M.C, A.M.U., Aligarh, 14th February 2015.

3rd Prize in Poster Presentation on “Primary Lymphoma of Bone: An Oncological Paradox” at the International Symposium on Oncologic Pathology, Department of Pathology, J.N.M.C, A.M.U., Aligarh, 25th January 2018.

Xiaoming Li | Systems Engineering | Best Researcher Award

Dr. Xiaoming Li, Systems Engineering, Best Researcher Award

Doctorate at Concordia University, Canada

Summary:

Dr. Xiaoming Li is an accomplished researcher and educator with extensive experience in artificial intelligence, machine learning, and optimization models for shared mobility and smart logistics. With a Ph.D. in Information and Systems Engineering from Concordia University, his work focuses on integrating data-driven approaches to optimize urban transportation systems and enhance sustainability. He has a strong background in software engineering and has contributed significantly to both academic research and industry projects. Dr. Li has received several awards, including the IEEE Outstanding Leadership Award and the Mitacs Accelerate Program Award. As a dedicated educator, he has taught and mentored students across various institutions, shaping the next generation of computer scientists.

Professional Profile:

👩‍🎓Education:

Ph.D. in Information and Systems Engineering

  • Concordia University, Montréal, QC, Canada
  • Cumulative GPA: 4.0 / 4.3

M.Sc. in Computer Software and Theory

  • Northeastern University, China
  • Cumulative GPA: top 16.7%

B.Sc. in Computer Science and Technology

  • Shenyang Aerospace University, China

Professional Experience:

Dr. Xiaoming Li currently serves as a Research Associate at Concordia University, Montréal, where he supervises interdisciplinary research in artificial intelligence and operations research for shared mobility-on-demand applications. His role involves designing deep learning models for time-series demand forecasts, developing data-driven stochastic optimization models for renewable energy mobility management, and creating an integrated optimization framework for sustainable crowd-shipping services. Previously, Dr. Li held a Research Assistant position at Concordia, working on data analysis and machine learning model development for various projects, including forecasting commodity rates and predicting hotel booking cancellations.

Dr. Li’s industrial experience includes internships at Ericsson’s Global Artificial Intelligence Accelerator, where he developed an energy-saving framework for 5G base stations, and Medialpha, where he optimized nurse routing and medical resource allocation using meta-heuristic algorithms. Additionally, he has substantial experience as a Software Engineer at Shenyang Aerospace University, leading projects and managing teams.

In academia, Dr. Li has served as an Adjunct Faculty at Vanier College, teaching database theory and application development, and as a Full-Time Lecturer at Shenyang Aerospace University, instructing on a variety of computer science courses and supervising numerous student projects.

Research Interest:

  • Machine Learning
  • Operations Research
  • Data Science
  • Data-Driven Optimization
  • Agent-Based Simulation Modeling
  • Shared Mobility
  • Smart Logistics
  • Sustainable Intelligent Transportation Systems

Publications Top Noted: 

GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems

  • N. Lin, Y. Fan, L. Zhao, X. Li, M. Guizani
  • IEEE Transactions on Mobile Computing, 14, 2022.

BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems

  • J. Gao, X. Li, C. Wang, X. Huang
  • IEEE Transactions on Intelligent Transportation Systems, 23(8), 11666-11676, 2021.

Driver Guidance and Rebalancing in Ride-Hailing Systems Through Mixture Density Networks and Stochastic Programming

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • 2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021.

Learning-Based Open Driver Guidance and Rebalancing for Reducing Riders’ Wait Time in Ride-Hailing Platforms

  • J. Gao, X. Li, C. Wang, X. Huang
  • 2020 IEEE International Smart Cities Conference (ISC2), 1-7, 2020.

Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • IEEE Access, 10, 116931-116941, 2022.

Christian Mathew | Engineering Mechanics | Best Researcher Award

Dr. Christian Mathew, Engineering Mechanics, Best Researcher Award

Doctorate at Virginia Polytechnic Institute and State University, United States

Summary:

Dr. Christian Mathew is an accomplished researcher and academic in the field of engineering mechanics. With extensive experience in both theoretical and applied research, Dr. Mathew has contributed significantly to the understanding of solid mechanics, composite materials, and innovative manufacturing processes. He is currently an Affiliate Faculty in the Department of Aerospace and Ocean Engineering at Virginia Tech and actively engages in cutting-edge research, teaching, and professional service.

Professional Profile:

👩‍🎓Education:

PhD (in view), Engineering Science and Mechanics (2021-current), Virginia Tech, Blacksburg, Virginia, US

  • Advisor: Dr. Yao Fu, Co-advisor: Dr. Jie Song

M.S. Engineering Science and Mechanics (2023), Virginia Tech, Blacksburg, Virginia, US

  • Advisor: Dr. Yao Fu, Co-advisor: Dr. Jie Song

M.S. Advanced Computational and Civil Engineering Structural Studies (2021), Technical University of Dresden, Germany

  • Advisor: Dr. Rainer Schlebusch

B.S. Civil (Structural) Engineering (2014), Federal University of Technology, Owerri, Nigeria

Professional Experience:

Dr. Mathew’s professional journey is marked by a series of impactful academic and research appointments. At Virginia Tech, he serves as an Affiliate Faculty in the Department of Aerospace and Ocean Engineering and as a Graduate Teaching and Research Assistant in the Department of Engineering Mechanics since 2021. His role involves developing and refining multiphysics phase field models and finite element models, analyzing experimental data, and conducting large-deformation solid mechanics simulations.

Previously, at the Technical University of Dresden (2017-2021), Dr. Mathew contributed to modeling plasticity in anisotropic metallic materials, implementing models in finite element codes, and leading verification and validation efforts. His industry experience includes working as an engineer at CHRITZEC NIG LIMITED (2015-2017), where he was responsible for interpreting technical drawings, characterizing building materials, supervising construction sites, and managing procurement and materials.

Research and Innovations:

Dr. Mathew’s research interests lie at the intersection of solid mechanics, composite materials, and computational modeling. His specific areas of focus include:

  • Solid mechanics and composite laminates
  • Environment-assisted fracture and fatigue behavior
  • Computationally guided innovative materials and manufacturing design
  • Multi-scale simulation modeling of microstructural evolution in additive manufacturing processes
  • Phase field modeling

Publications Top Noted: 

Flexural Stability Analysis of Doubly Symmetric Single Cell Thin-Walled Box Column Based On Rayleigh-Ritz Method [RRM]

  • Authors: K.C. Nwachukwu, J.C. Ezeh, O.M. Ibearugbulem, U.C. Anya, F.K. Atulomah, et al.
  • Journal: International Journal of Recent Research in Thesis and Dissertation
  • Volume: 5
  • Issue: 1
  • Pages: 79-90
  • Year: 2024

A Numerical Phase Field Model to Simulate Crack Initiation from Pitting Site

  • Author: C. Mathew
  • Platform: ResearchGate
  • Year: 2023

Optimization of Flexural Strength and Split Tensile Strength of Hybrid Polypropylene Steel Fibre Reinforced Concrete (HPSFRC)

  • Author: C.M. Kingsley Chibuzor Nwachukwu
  • Journal: International Journal of Advanced Research and Innovative Ideas in Education (IJARIIE)
  • Volume: 9
  • Issue: 4
  • Pages: 18
  • Year: 2023

Investigation into the Failure Mechanism of Masonry under Uniaxial Compression Based on Fracture Mechanics and Nonlinear Finite Element Modelling

  • Author: C. Mathew
  • Journal: International Journal of Scientific and Research Publications
  • Year: 2023

Advancements in Extended Finite Element Method (XFEM): A Comprehensive Literature Review

  • Author: C. Mathew
  • Platform: ResearchGate
  • Year: 2023