Arezoo Saedi – consumer health question answering – Innovative Researcher Award

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Arezoo Saedi – consumer health question answering – Innovative Researcher Award

Ms. Arezoo Saedi  Han Zhang distinguished academic and researcher in the field Consumer Health question answering.

🌐 Professional Profile

Educations📚📚📚

She holds a PhD in Computer Science with a specialization in Software Engineering from the University of Isfahan, where she achieved a GPA of 18.69/20. Her doctoral thesis, titled “Collaborative Management of Task-Oriented Dialogue System to Satisfy User Intention,” focuses on the proactive, collaborative management of task-oriented dialogues, emphasizing user preferences. Her research initially developed an entity search system leveraging reviews about entities. Subsequently, grounded in this entity search system, she created a dialogue system incorporating an innovative dialogue manager and in-context learning of large language models. Prior to her PhD, she completed her MSc in Computer Science, also specializing in Software Engineering at the University of Isfahan, with a GPA of 18.04/20. Her master’s thesis, “Consumer Health Question Classification in a Question Answering System,” addressed the classification of questions as a crucial component of the consumer health question-answering system. In this thesis, she developed a transformer-based methodology to classify consumer health questions effectively, distinguishing them from general consumer inquiries and physicians’ clinical queries. She began her academic journey with a BSc in Computer Science, specializing in Software Engineering, from the University of Isfahan, achieving a GPA of 17.53/20

Experience

She served as a Visiting Researcher at Paris-Saclay University from 2021 to 2022, where she worked on her PhD thesis, “Collaborative Management of Task-Oriented Dialogue System to Satisfy User Intention,” under the co-supervision of Dr. Sophie Rosset and Dr. Anne Vilnat, in collaboration with her thesis advisors at the University of Isfahan. During her stay at Paris-Saclay, she completed rigorous academic research writing and presentation courses that significantly influenced her approach to conducting research. These courses helped her develop the ability to identify research gaps, formulate compelling hypotheses, and systematically investigate them. For example, during the initial phase of her thesis research, she encountered challenges related to data scarcity. Through proactive discussions with her supervisors, she effectively tackled this issue by sourcing valuable and pertinent data, enabling her to construct a comprehensive dataset. Additionally, she was an instructor for the “Principle of Compiler Design” course at the University of Isfahan’s Computer Engineering Department for two semesters from February 2019 to February 2020, where she was responsible for course planning, delivering lectures, and designing assessments for this undergraduate course

Research Focus

She has received numerous honors and awards throughout her academic career. In the summer of 2017, she was awarded honorary admission to the PhD program in Software Engineering for outstanding academic achievement by the University of Isfahan Graduate Studies. From 2014 to 2017, she ranked among the top three students within the Master’s program, achieving the highest position among those specializing in Data Management. During her undergraduate studies from 2010 to 2014, she was ranked as the second top student. She achieved first place in the semi-centralized stage of the 19th Iranian National Collegiate Scientific Olympiad in Computer Engineering in Spring 2014 and was granted honorary admission to the MS program in Software Engineering for exceptional academic achievement by the University of Isfahan Graduate Studies in Spring 2014. Additionally, she attained the 34th position in the final stage of the same Olympiad held in the summer of 2014. Throughout her high school years at Sampad High School, she consistently ranked within the top three students. Furthermore, she received a scholarship from the University of Isfahan to undertake a visiting researcher position at the University of Paris-Saclay, focusing on her PhD thesis.

 

📝🔬Publications📝🔬

Ka Yung Cheng -Data Integration – Innovative Researcher Award

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Ka Yung Cheng -Data Integration – Innovative Researcher Award

Mrs. Ka Yung Cheng distinguished academic and researcher in the field Data Integration.

🌐 Professional Profile

Educations📚📚📚

She pursued her education at Christian-Albrechts-Universität zu Kiel in Germany, where she has been working towards a Doctor of Medical Science (Dr. rer. medic) since 2021. Her doctoral thesis, titled “An Image Annotation Pipeline for Body Area, Modality and Laterality (IMBODY),” focuses on developing advanced methodologies in medical imaging. Prior to this, she earned a Master of Science in Information Technology from Technische Hochschule Ostwestfalen-Lippe in Lemgo, Germany, from 2019 to 2021. Her master’s thesis, “Developing a Deep Learning Metal Classification Method for Prompt-Gamma Neutron Activation Analysis (PGNAA),” showcased her expertise in deep learning and its applications in material analysis. She also holds a Bachelor of Science in Technical Informatics from Technische Hochschule Ostwestfalen-Lippe, completed between 2017 and 2019. Her bachelor’s thesis, “Implementation and Qualification of a Machine Learning Library for Performing Image Processing Tasks in an Industrial Environment,” reflects her strong foundation in machine learning and its practical applications in industrial settings.

Experience

She has been a Medical Informatics Researcher at Universitätsklinikum Schleswig Holstein in Kiel, Germany, since January 2021. In this role, she focuses on training and evaluating deep learning models to classify medical images by modality, laterality, and body parts using SNOMED CT terminology. Her responsibilities also include collecting and curating medical image datasets to SNOMED CT codes, integrating pharmacological data from a data lake to a clinical data repository using Talend and Java (Spring Boot), indexing medical metadata in Elasticsearch, and transforming clinical data to international standards like FHIR and openEHR. Prior to this, she worked at Phoenix Contact in Blomberg, Germany. From April 2019 to March 2020, she served as a Software Developer, where she performed image preprocessing for controlling the plastic housing of products and created ETL jobs using PowerBI to develop a matrix of stored products. Before that, she completed an apprenticeship as a Software Developer at Phoenix Contact from 2016 to 2018, where she analyzed functional and technical requirements and developed applications in COBOL.

📝🔬Publications📝🔬
  • ● Instance-level Medical Image Classification for Text-based Retrieval in a
    Medical Data Integration Center
    https://doi.org/10.1016/j.csbj.2024.06.006
    ● Structured Data Retrieval and Analysis of HL7 v2 Messages with
    Elasticsearch https://doi.org/10.3233/shti231246
    ● An Image Retrieval Pipeline in a Medical Data Integration Center
    https://doi.org/10.3233/shti231208
    ● ETL Processes for Integrating Healthcare Data – Tools and Architecture
    Patterns https://doi.org/10.3233/shti220974
    ● Prompt-Gamma Neutron Activation Analysis (PGNAA)” Metal Spectral
    Classification using Deep Learning Method
    https://doi.org/10.48550/arXiv.2208.13909

Pragati Tripathi – Biomedical Engineering – Best Researcher Award

Published on by Network Science

Ms. Pragati Tripathi distinguished academic and researcher in the field Biomedical Engineering.  She has held multiple academic positions since 2018, beginning as an Assistant Professor in the Department of Electronics and Communication Engineering at Vision Institute of Technology, Kanpur. She then transitioned to roles such as Research Associate at Sharda University, Greater Noida, and subsequently as an Assistant Professor in the same field at I.T.S Greater Noida. Currently, she serves as an Assistant Professor and Chief of Operations and Experiments (C.O.E.) in the ECE Department at I.T.S Greater Noida, where she also played a pivotal role in establishing an IoT lab. Her contributions extend beyond teaching, as evidenced by her involvement in hosting e-Yantra programs and workshops, including one conducted in collaboration with IIT Bombay. Furthermore, she has coordinated mini-projects for second and third-year students, managed data for R&D consultancy, and contributed to the improvement of departmental logistics and student performance. Her proactive approach is reflected in her creation and implementation of activities aimed at enhancing student careers and her active participation in departmental and college initiatives, where she has supported various functional activities and committees.

 

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing a Ph.D. in Artificial Intelligence & Machine Learning at Gautam Buddha University, Greater Noida, a journey she embarked on in 2019. Prior to this, she completed her MTech in Power Electronics & Drives from the same institution in 2018. Her educational journey began with a Master’s in Electronics from C.S.J.M. University, Kanpur, in 2016, following which she obtained a Bachelor’s degree from the same university in 2014. She completed her Intermediate education at Virendra Swarup 21st Century, Kanpur, in 2011, and her High School education at Vikram Khanna High School, Kanpur, in 2009. Through her academic pursuits, she has demonstrated a commitment to expanding her knowledge and expertise in the field of electronics and related disciplines.

 

INTERNATIONAL CONFERENCES 🎟️

She has made significant contributions to the field of engineering and technology, as evidenced by her numerous publications and presentations at international conferences. Her research interests span across various domains, including artificial intelligence, smart communication, medical imaging, and renewable energy systems. Notable works include her studies on signal processing techniques for medical applications, such as denoising electrocardiogram signals and analyzing brain tumor detection through MRI. Additionally, she has explored topics in energy efficiency, such as modeling hybrid PV-diesel-battery systems and analyzing the stability of VSC-HVDC transmission systems. Her research endeavors also extend to innovative technologies like IoT-based weather monitoring systems and the mathematical modeling of graphene. Through her scholarly pursuits, she has demonstrated a commitment to advancing knowledge and innovation in engineering, contributing to the scientific community’s understanding and application of emerging technologies.

 

Honors & Awards 🏆🏆🥇

She has garnered numerous awards and achievements throughout her academic and extracurricular endeavors. Notable among these are her participation in events like Abhivyanjana in 2016 and 2017, where she served as a co-coordinator. Additionally, she demonstrated her leadership skills as a co-coordinator at the NanofiM International Conference in 2017 and various IEEE events. Her active involvement in IEEE activities earned her recognition, including the Outstanding Volunteer Award in the IEEE GBU Branch and the Outstanding Social Media Coordinator Award in the IEEE Delhi Region. Furthermore, she has contributed to sports events such as football and badminton, achieving commendable results like runner-up and securing the 2nd position. Her versatile engagement extends to English Group Discussions and football tournaments, showcasing her diverse interests and contributions to both academic and extracurricular spheres.

 

POSITION &RESPONSIBILITY

She has actively contributed to various projects and events, showcasing her organizational skills and leadership capabilities. As a Supervisor, she led a major project on IoT-based Agricultural monitoring systems at the Department of ECE, I.T.S. Engineering College during the 2023-24 session. Her role extended to being the Organizing Secretary for the Inter-College Tech-Vision Project Exhibition Competition at I.T.S Greater Noida in 2023, where she ensured the smooth execution of the event. Furthermore, she served as an Organizer for Nano fiM, an international conference held at Gautam Buddha University in 2017, and as a Coordinator for the International Conference (ELECRAMA2018) at Auto Expo, Greater Noida. Her dedication to extracurricular activities is evident through her volunteer work as a student coordinator in the Art Club at Gautam Buddha University from 2016 to 2018. Additionally, she took on the responsibility of organizing cultural events like the Cultural Fest, AbhiyanJana, at Gautam Buddha University in 2017, demonstrating her commitment to enhancing the campus experience for her peers.

 

Publications📚📚

Panagiotis Karanis – Biomedical Research – Best Researcher Award

Published on by Network Science

Panagiotis Karanis – Biomedical Research

Dr. Panagiotis karanis  distinguished academic and researcher in the field Biomedical research, infectious diseases, climate changes.  Professor Karanis is a resourceful and dedicated professor with an impressive academic background,
excellent publication record and significant teaching experiences in the fields of Emerging Infectious
Parasitic and Tropical Diseases and Human Anatomy. Possesses excellent interpersonal and liaison skills
with the ability to build and maintain positive working relationships. Possesses mature administrative and
managerial skills and solid experience in science policy and public health. Enjoys worldwide collaborating
in a productive and successful team and thrives in challenging environments. He was 1000 Talent Plan
Expert (2014-2017) in Qinghai, China.

🌐 Professional Profiles

Educations: 📚🎓

Professor Dr. Panagiotis Karanis has held various esteemed positions in the field of anatomy and biomedicine, showcasing an extensive and distinguished career spanning several decades. From 2019 to the present, he serves as a Professor of Anatomy and the Coordinator of the Unit of Anatomy & Morphology at the Medical School, University of Nicosia, Nicosia, Cyprus. His contributions extend globally, as he has been an international advisor, consultant, and visiting professor at numerous universities.

During the period from 2014 to 2018, Professor Karanis held the position of Professor and Director of the Centre of Biomedicine and Infectious Diseases at the State Key Laboratory for Plateau Ecology and Agriculture at Qinghai University in Xining, China. His expertise was recognized internationally, as he was selected as a Foreign Expert in the 1000 Talent Plan, Recruitment Program of Foreign Experts (RPFE) for non-ethnic Chinese experts in China.

Earlier in his career, from 2009 to the present, Professor Karanis made significant contributions as a Professor of Anatomy at the Medical School, University of Cologne, Germany. Prior to this, he served as an Associate Professor and later as a Full Professor at the National Research Centre for Protozoan Diseases (NRCPD) in Japan from 2006 to 2007.

The trajectory of Professor Karanis’s career is marked by academic achievements. In 1999, he received Venia legendi in Parasitology (PD Dr.) and completed his Habilitation in Clinical-Theoretical Medicine at the Medical Faculty, University of Bonn, Germany. His academic journey began with a PhD in Parasitology, focusing on ‘UV-Disinfection of Protozoan Parasites’ at the University of Bonn in 1992. Earlier, in 1987, he earned a Diploma in Biology from the University of Bochum, Germany.

Professor Karanis’s educational background is diverse, including studies in Biology at the Universities of Bielefeld, Düsseldorf, and Bochum from 1980 to 1986. He also pursued complementary studies of Medicine at the Universities of Bochum and Cologne, completing the pre-clinical medical curriculum. His commitment to academia and research has made him a respected figure in the international scientific community, contributing significantly to the fields of anatomy, biomedicine, and parasitology.

Research Interests: 🧬🔬

Biomedical research, infectious diseases, climate changes,Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks

Awards and Achievements: 🏆👏

  •  Prof. Karanis is included on the annual list of 100,000 top scientists worldwide and, correspondingly, in
    the top 2 per cent of scientists in their field, according to a team of researchers at Stanford University in
    the USA. The updated 2020 list is based on a range of citation metrics that provides standardized data
    across those fields and subfields, in arriving at the (2019) single year impact result of more than 8,000,000
    scientists worldwide.
  • Gained worldwide administrative and managerial skills and experiences in science policy and public
    health. Successfully established 5 Laboratories / Institutions in Bonn / Germany (Waterborne and Vectorborne
    Parasitic Diseases), Thessaloniki / Greece (Leishmania and Sandflies), Cologne / Germany (Medical and
    Molecular Parasitology), Obihiro / Japan (Unit for Diseases Control and Genetics), Xining / China (Centre
    of Biomedicine and Infectious Diseases; the laboratory was promoted from the Chinese Government toState Key Laboratory of the Qinghai Province in China, 2016). The laboratories in Germany, Japan and
    China achieved an international reputation
  • Developed worldwide effective cooperations between many countries, in particular betweenEuropean
    and Asian countries
  •  Consultant at Qatar National Research Foundation and Qatar University, Doha, Qatar
  • Academic program review for the Master of Science in Biomedical Science, College of Health
    Sciences at Qatar University, Doha, Qatar, September 2018
  • Consultant” at Walailak University, Nakhon Si Thammarat, Thailand
  • Nominated as “Advisory Board Member” of the “Centre of Excellence for Medical Research and
    Innovative Products (CEMRIP)” in Thailand.
  • Nominated “National Distinguished Expert” and “State Specially Recruited Expert” of China
  • Selected in 1000 Talent Plan, the Recruitment Program of Foreign Experts (RPFE) for non-ethnic Chinese
    experts, China, 2014, leading into ongoing innovative and promising collaborations with China
  • Invitation for Short Term – Fellowship – Program for Malaria Research in Japan by JSPS (Japanese
    Society of Promotion of Science), 12th January – 11th March 2014

Career Summary 

Dr. Panagiotis Karanis is a distinguished parasitologist with a wealth of expertise and a prolific career spanning several prestigious institutions across the globe. Serving as a Guest Professor at the University of Padova in Italy during 2019 and 2020, as well as a Consultant at the College of Public Health in Qatar in 2018, he contributed significantly to the field of parasitology. Dr. Karanis has been a Consultant at Walailak University in Thailand since 2017, where he has provided guidance and international supervision for PhD students.

His academic endeavors include roles as an Invited Professor at the University of Alexandroupolis and the University of Ioannina in Greece, where he delivered lectures on infectious diseases to both undergraduate and postgraduate students. Notably, from 2014 to 2018, Dr. Karanis held the position of Professor and Director of the Centre of Biomedicine and Infectious Diseases at Qinghai University in China.

As a Foreign Expert in the 1000 Talent Plan Recruitment Program, he played a pivotal role in elevating the laboratory to the State Key Laboratory for Plateau Ecology and Agriculture of the Qinghai Province. Dr. Karanis’s contributions extended to advising the Chinese government on research ideas, particularly in waterborne and vectorborne diseases, and his efforts in developing Cryptosporidium culture assays for drug testing garnered recognition and funding from prestigious institutions such as the Bill and Melinda Gates Foundation. His comprehensive involvement in academia, research, and international collaborations underscores his commitment to advancing the field of parasitology and infectious diseases.

 

📚Top Noted Publication

 

 

Harshavardhan Awari – Machine Learning-Healthcare

Published on by Network Science

Dr.  Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare

Dr.  Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.”

Eduvation

He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000.

Professional Profiles:

RESEARCH ACTIVITIES

He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence.

Achievements:

  1. Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021.
  2. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication
  3. Editorial Member for the Lattice Science Publication
  4. Reviewer for the Imaging Science Journal
  5. Reviewer for the ICCINS-2022
  6. Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems
  7. Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021)
  8. Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
  9. Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
Awards:

He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter.

His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022.

Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022.

In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022.

Publication

An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM

CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, …
Concurrent Engineering 29 (4), 386-395 _ 2021

Text categorization Performance examination Using Machine Learning Algorithms

BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan
IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020

IoT Based Smart Solar Atmospheric Water Harvesting System

E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, …
IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020