Prof. Dr. Ke Xiong | Optimization Award | Best Researcher Award

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Prof. Dr. Ke Xiong | Optimization Award | Best Researcher Award

Prof. Dr. Ke Xiong, School of Computer Science and Technology, Beijing Jiaotong University, China

Ke Xiong is a Full Professor and Vice Dean at the School of Computer and Information Technology, Beijing Jiaotong University (BJTU), where he earned both his B.S. and Ph.D. degrees. After completing his postdoctoral fellowship at Tsinghua University, he has held various prominent roles in academic and industry organizations. His research focuses on wireless cooperative networks, wireless powered networks, and network information theory, with over 200 academic publications. He has been recognized as a Highly Cited Chinese Researcher by Elsevier in 2023 and ranked among the top 2% of scientists globally by Stanford University in 2022. His numerous accolades include best paper awards and prestigious prizes in natural science and technology.

Professional Profile:

Google Scholar

Ke Xiong’s Suitability for the Research for Best Researcher Awards:

Ke Xiong exemplifies the qualities of a leading researcher deserving of the Best Researcher Award. His extensive publication record, influential leadership roles, and recognition within the academic and professional communities underscore his contributions to wireless networks and smart technologies. His ongoing efforts to enhance education and research collaboration further reinforce his suitability for this prestigious award. As he continues to advance his research and impact the field, he stands out as an inspiring figure in engineering and technology

πŸŽ“Education:

Ke Xiong earned his Bachelor of Science (B.S.) degree from Beijing Jiaotong University (BJTU) in 2004, followed by a Doctor of Philosophy (Ph.D.) degree from the same institution in 2010. His educational journey at BJTU laid a strong foundation for his subsequent research and academic career in computer and information technology.

🏒Work Experience:

After completing his Ph.D. in 2010, Ke Xiong served as a Postdoctoral Research Fellow in the Department of Electronics Engineering at Tsinghua University in Beijing, China, from April 2010 to February 2013. In March 2013, he joined Beijing Jiaotong University (BJTU) as a Lecturer, and over the years, he progressed to the roles of Associate Professor and eventually Full Professor and Vice Dean of the School of Computer and Information Technology. Additionally, he was a Visiting Scholar at the University of Maryland, College Park, MD, USA, from September 2015 to September 2016, further enhancing his research and academic expertise.

πŸ…Awards and Recognition:

Ke Xiong has received numerous accolades throughout his academic career, including recognition as a Highly Cited Chinese Researcher by Elsevier in 2023 and being ranked among the top 2% of scientists globally by Stanford University in 2022. He was awarded the Second Prize in Natural Science from the China Institute of Communications (CIC) and the Second Prize in Science and Technology from the China Railway Society. Additionally, he has won best student paper awards at several prestigious conferences, including HWMC 2014, IEEE ICC 2020, IEEE ICSTSN 2023, and IEEE ICCCS 2023 and 2024.

Publication Top Notes:

  • Title: AoI-minimal trajectory planning and data collection in UAV-assisted wireless powered IoT networks

    Cited by: 273

  • Title: UAV-assisted wireless powered cooperative mobile edge computing: Joint offloading, CPU control, and trajectory optimization

    Cited by: 245

  • Title: Rate-energy region of SWIPT for MIMO broadcasting under nonlinear energy harvesting model

    Cited by: 225

  • Title: Wireless information and energy transfer for two-hop non-regenerative MIMO-OFDM relay networks

    Cited by: 206

  • Title: Energy efficiency in secure IRS-aided SWIPT

    Cited by: 134

 

 

 

 

 

 

Dr. Maryam Sharifi | Optimization Award | Best Researcher Award

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Dr. Maryam Sharifi | Optimization Award | Best Researcher Award

Dr. Maryam Sharifi, ABB Corporate Research, Sweden

Dr. Maryam Sharifi is a Senior Research Scientist and Control Systems Engineer at ABB Corporate Research in VasterΓ₯s, Sweden, where she focuses on developing optimized planning solutions for autonomous systems and conducting stability studies for renewable-based microgrids. With a Ph.D. in Electrical Engineering from the University of Tehran, Dr. Sharifi has extensive research experience in artificial intelligence, optimization-based solutions, multi-agent systems, and robotic systems. She has held various academic positions, including postdoctoral researcher at KTH Royal Institute of Technology, and has contributed significantly to peer-reviewed journals. Additionally, she has received several honors, including ranking second in her Ph.D. entrance examination among 1,500 participants. Dr. Sharifi is proficient in multiple programming languages and has delivered scientific talks at prestigious institutions.

Professional Profile:

Google Scholar

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Suitability for Researcher Awards: Dr. Maryam Sharifi

Summary of Suitability for the Award:

Dr. Maryam Sharifi is a highly accomplished Senior Research Scientist and Control Systems Engineer with a rich academic and professional background that positions her as a leading candidate for a Best Researcher Award. Her expertise spans various critical areas, including Artificial Intelligence, Optimization, Multi-Agent Systems, Robotic Systems, and Formal Methods, making her contributions vital to advancing control systems and autonomous technologies.

πŸŽ“Education:

Dr. Maryam Sharifi earned her Ph.D. in Electrical Engineering with a focus on Control Systems from the University of Tehran, Iran, achieving a GPA of 18.73/20 from September 2015 to April 2020. During her doctoral studies, she was a visiting researcher at the Automatic Control Laboratory at ETH Zurich, Switzerland, from January to June 2019. Prior to her Ph.D., she completed her M.S. in Electrical Engineering (Control Systems) at Amirkabir University of Technology, Tehran, with a GPA of 18.29/20 from September 2013 to September 2015. She also holds two bachelor’s degrees in Electrical Engineering: the first in Control Systems with a GPA of 18.02/20 (September 2009 – September 2013) and the second in Power Systems with a GPA of 17.9/20 (September 2011 – September 2014), both from Amirkabir University of Technology

🏒Work Experience:

Dr. Maryam Sharifi currently serves as a Senior Research Scientist at ABB Corporate Research in VasterΓ₯s, Sweden, a position she has held since January 2024. Prior to this role, she was a Research Scientist at the same institution from February 2022 to December 2023. Before joining ABB, Dr. Sharifi worked as a Postdoctoral Researcher at KTH Royal Institute of Technology in Stockholm, Sweden, from September 2020 to February 2022, where she contributed to various advanced research projects in control systems and autonomous technologies.

πŸ…Awards:

Dr. Maryam Sharifi has received several accolades throughout her academic career. She was ranked 2nd in the Ph.D. entrance examination among 1,500 participants in 2015 and achieved 3rd place in her M.S. admission, which exempted her from the entrance examination in 2013. These accomplishments reflect her strong academic performance among a competitive group of 100 electrical engineering students.

Publication Top Notes:

  • “Control barrier function based visual servoing for Mobile Manipulator Systems under functional limitations”
  • “Safe Force/Position Tracking Control via Control Barrier Functions for Floating Base Mobile Manipulator Systems”
  • “Control barrier function based visual servoing for underwater vehicle manipulator systems under operational constraints”
  • “Platoons Coordination Based on Decentralized Higher Order Barrier Certificates”

 

 

 

Dr. Sunkari Pradeep | Optimization Awards | Best Researcher Award

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Dr. Sunkari Pradeep | Optimization Awards | Best Researcher Award

Dr. Sunkari Pradeep, Malla Reddy Engineering College for Women, India

Dr. S. Pradeep is an Associate Professor and Head of Research & Development at Malla Reddy Engineering College for Women in Secunderabad, India. With a Ph.D. in Computer Science & Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, his academic journey includes an M.Tech from JNT University Hyderabad and a B.Tech from the same institution. Dr. Pradeep has held various positions in academia, including roles at Bhoj Reddy Engineering College and Jayaprakash Narayan College of Engineering. His research interests span Wireless Sensor Networks, Artificial Intelligence, Cyber Security, Data Science, and Cloud Computing. He has contributed significantly to the field through patents, books, and publications, and has served as a keynote speaker on AI for banking. Dr. Pradeep is also a member of professional bodies such as IEEE, ACM, and IAENG.

Professional Profile:

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Dr. S. Pradeep’s Suitability for Best Researcher Award – Summary and Conclusion

Dr. S. Pradeep is a highly suitable candidate for the Best Researcher Award. His extensive research in emerging fields, significant academic contributions, and active involvement in professional communities showcase his dedication and impact in the field of computer science and engineering. His achievements and ongoing work align well with the criteria for this prestigious award, making him a strong contender.

πŸŽ“Education:

Dr. S. Pradeep earned his Ph.D. in Computer Science & Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, where he conducted research from 2016 to 2019. Prior to this, he completed his M.Tech in Computer Science & Engineering with Distinction from JNT University Hyderabad, Telangana, India, between 2010 and 2012. His foundational education includes a B.Tech in Information Technology & Engineering, also from JNT University Hyderabad, where he graduated with First Class honors in 2010.

🏒Work Experience:

Dr. S. Pradeep currently serves as the Associate Professor and Head of Research & Development in the Department of Computer Science & Engineering at Malla Reddy Engineering College for Women in Secunderabad, India, a position he has held since 2021. Before this role, he was an Associate Professor in the Department of Computer Science at Bhoj Reddy Engineering College for Women in Hyderabad from 2020 to 2021. His academic career began as an Assistant Professor in the Department of Computer Science at Jayaprakash Narayan College of Engineering in Hyderabad, where he worked from 2012 to 2016.

πŸ…Awards and Certifications:

Dr. S. Pradeep holds several prestigious certifications in the field of network security and cloud computing. In 2020, he earned the Fortinet NSE Certification as a Network Security Expert, specializing in NS1 and NS2. He also obtained the Certified Network Security Specialist credential from ICSI in the same year. More recently, in 2023, he achieved the Oracle Cloud Infrastructure Certified Foundations Associate certification, further demonstrating his expertise in cloud technologies.

Publication Top Notes:

  • A Pragmatic Evaluation of Stress and Performance Testing Technologies for Web-Based Applications
    • Cited by: 65
  • Deep Learning Based Real-Time Object Recognition for Security in Air Defense
    • Cited by: 14
  • Developing an SDN Security Model (EnsureS) Based on Lightweight Service Path Validation with Batch Hashing and Tag Verification
    • Cited by: 9
  • Secured Information Sharing in Supply Chain Management: Modified Data Sanitization with Optimal Key Generation via Hybrid Algorithm
    • Cited by: 9
  • Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation
    • Cited by: 9

 

 

Assoc Prof Dr. Yang Wang | Optimization Awards | Best Researcher Award

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Assoc Prof Dr. Yang Wang | Optimization Awards | Best Researcher Award

Assoc Prof Dr. Yang Wang, Shanghai DianJi university, China

Yang Wang is a Professor at Shanghai Dianji University and serves as the Deputy Director of the Planning and Development Office. Her expertise lies in fault diagnosis of complex industrial processes and energy system optimization. As a Master’s Supervisor and a reviewer for the Journal of ISA Transactions, she contributes significantly to her field. Yang Wang has earned recognition for her innovative work, including a second prize in the “Shanghai Teaching Innovation Competition” and the “Design Star” in the “5th National College Hybrid Teaching Design Innovation Competition.” Her research includes designing resilient multi-energy systems and employing advanced techniques to manage forecast errors and uncertainties.

Professional Profile:

Scopus

Evaluation for Prof. Yang Wang’s Suitability for the Best Researcher Award

Prof. Yang Wang’s impactful research, innovative achievements, and dedication to education and professional contributions position her as a highly suitable candidate for the Best Researcher Award. Her expertise and recognition in energy system optimization and fault diagnosis underscore her significant contributions to her field, making her a deserving recipient of this honor.

🏒Current Roles:

Yang Wang is a Professor at Shanghai Dianji University, where she also serves as the Deputy Director of the Planning and Development Office. In her academic role, she supervises Master’s students and contributes as a reviewer for the Journal of ISA Transactions. Her responsibilities encompass both administrative leadership and academic mentorship, reflecting her significant role in advancing research and development at the university.

πŸ…Awards and Recognitions:

Yang Wang has been honored with the Second Prize in the Shanghai Teaching Innovation Competition and has received the “Design Star” award in the 5th National College Hybrid Teaching Design Innovation Competition. These accolades recognize her exceptional contributions to educational innovation and her commitment to advancing teaching methodologies.

Publication Top Notes:

  • Distributed Monitoring of Nonlinear Plant-Wide Processes Based on GA-Regularized Kernel Canonical Correlation Analysis
  • Optimizing Multi-Energy Systems with Enhanced Robust Planning for Cost-Effective and Reliable Operation
  • Interpretable Chiller Fault Diagnosis Based on Physics-Guided Neural Networks
  • Short-Term Power Load Forecasting Based on IWOA-GRU
  • Flexible Adaptive Marine Predator Algorithm for High-Dimension Optimization and Application in Wind Turbine Fault Diagnosis

 

 

 

 

 

Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

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Mr. Hector Ferrada | Algoritmos de Optimizacion | Excellence in Research

Mr. Hector Ferrada, Universidad Austral de Chile, Chile

Mr. Hector Ferrada is a researcher at Universidad Austral de Chile, specializing in Computer Science. He completed his Ph.D. at Universidad de Chile, focusing on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D. Mr. Ferrada has professional experience in genome-scale algorithmics from an internship at the University of Helsinki, Finland. His research interests include algorithms design, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications. He currently leads the ANID’s Fondecyt IniciaciΓ³n 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction, and contributes as a Co-Investigator on GPU technologies for simulations and meshing algorithms for polygons and polyhedrons.

🌐 Professional Profile:

Orcid

πŸŽ“ Education:

Ph.D. in Computer Science from Universidad de Chile, Santiago, Chile (2010-2016). Thesis on Compressed Indexes for Document Retrieval under the supervision of Gonzalo Navarro, Ph.D.

πŸ‘¨β€πŸ’Ό Professional Experience:

Internship at the Department of Computer Science, University of Helsinki, Finland (2013), focusing on genome-scale algorithmics under Veli MΓ€kinen, Ph.D.

πŸ” Research Interests:

Specializes in design and analysis of algorithms, data structures, compression techniques, High Performance Computing (HPC), and compact data structures for big data applications.

πŸ”¬ Research Projects:

Currently serves as Principal Investigator for ANID’s Fondecyt IniciaciΓ³n 2022 project on Algorithms Optimization and Digital Carbon Footprint Reduction. Co-Investigator on projects combining GPU technologies for simulations and developing meshing algorithms for polygons and polyhedrons.

Publication Top Notes:

  • Title: Accelerating range minimum queries with ray tracing cores
    • Journal: Future Generation Computer Systems
    • Year: 2024
  • Title: A succinct and approximate greedy algorithm for the Minimum Set Cover Problem
    • Journal: Journal of Computational Science
    • Year: 2024
  • Title: An evaluation of GPU filters for accelerating the 2D convex hull
    • Journal: Journal of Parallel and Distributed Computing
    • Year: 2024
  • Title: A sorting algorithm based on ordered block insertions
    • Journal: Journal of Computational Science
    • Year: 2022

 

 

 

Mr. Tasawar Abbas | Optimization Award | Excellence in Research

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Mr. Tasawar Abbas | Optimization Award | Excellence in Research

Mr. Tasawar Abbas, Hohai University, China

Mr. Tasawar Abbas is a driven Electrical Engineer currently pursuing a PhD in Electrical and Power Engineering at Hohai University, China. With a Master’s degree in Electrical Power System Engineering from Bahria University, Islamabad, where he achieved a commendable CGPA of 3.70, Tasawar specializes in bidirectional converter design for electric vehicle integration into hybrid grids, utilizing MATLAB for simulations πŸŽ“. His diverse professional journey includes roles as a Technical Course Instructor and Electrical Lab Installation Engineer at Bahria University, Islamabad, where he excelled in curriculum development and equipment maintenance πŸ› οΈ. Tasawar’s technical acumen spans power electronics, digital electronics, and signal systems, complemented by certifications in PCB designing and hardware implementation πŸ“Š. Known for his strong work ethic and excellent communication skills, Tasawar Abbas is committed to advancing research initiatives and contributing effectively to team environments 🌟.

🌐 Professional Profile:

Google Scholar

Educational Background

Tasawar holds a Master’s degree in Electrical Power System Engineering from Bahria University, Islamabad, where he achieved a commendable CGPA of 3.70. His research thesis, focused on the integration of electric vehicles into hybrid grids, demonstrates his proficiency in bidirectional converter design and simulation using MATLAB. He also completed his Bachelor’s degree in Electrical Electronics Engineering from COMSATS University Abbottabad, showcasing his early academic excellence.

Objective-driven Professional

Tasawar Abbas is an accomplished Electrical Engineer currently pursuing a PhD in Electrical and Power Engineering at Hohai University, China. His career objective is focused on contributing to significant research initiatives within a dynamic and professional environment. With a robust background in electrical engineering, he seeks opportunities to apply his skills and knowledge to achieve research goals while fostering personal growth.

Diverse Work Experience

With extensive experience, Tasawar has served as a Technical Course Instructor and Electrical Lab Installation Engineer at Bahria University, Islamabad. His responsibilities included developing updated course outlines, ensuring compliance with educational standards, and overseeing the installation and maintenance of electrical equipment. His tenure also includes internships at Agritech Pvt Ltd and Pakistan Telecommunication Company Limited (PTCL), where he gained practical expertise in troubleshooting, PLC programming, and optical fiber technology.

Skills and Strengths

Known for his energetic and sincere approach, Tasawar Abbas combines hard work with self-motivation to excel in his endeavors. He possesses excellent communication skills and a strong sense of responsibility, contributing effectively in team environments. His technical competencies span power electronics, digital electronics, and signal systems, reflecting his comprehensive understanding of electrical engineering principles.

Certifications and Achievements

Tasawar Abbas has earned certifications in PCB designing, hardware implementation, and has completed notable internships in the industry. His involvement in the Prime Minister Youth Internship Program underscores his dedication to enhancing educational quality and organizing national conferences.

Publication Top Notes:

 

 

Prof. Dr. Sandy (Jeong Yeon) Rhie | Optimization Awards | Best Researcher Award

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Prof. Dr. Sandy (Jeong Yeon) Rhie | Optimization Awards | Best Researcher Award

Prof. Dr. Sandy (Jeong Yeon) Rhie , Ewha Womans University , South Korea

Sandy (Jeong Yeon) Rhie, Pharm.D., Ph.D., is a prominent professor at Ewha Womans University in Seoul, Republic of Korea. With a robust academic background, she earned her Pharm.D. from the University of Maryland, School of Pharmacy in 2003, and holds a Ph.D. in Pharmacokinetics and Pharmacodynamics from Ewha Womans University. Dr. Rhie has held various leadership roles at Ewha, including Director of the Ewha Research Institute of Pharmaceutical Sciences and Department Head of the Graduate School of Life Pharmaceutical Sciences. Her teaching expertise spans a wide range of pharmacy courses, focusing on pharmacotherapy and pharmaceutical care. Dr. Rhie’s research interests and contributions are significant in clinical pharmacy and pharmaceutical sciences, making her a respected figure in her field.

Professional Profile:

Scopus

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🏫 Academic Positions

  • ProfessorΒ (March 2019 – Present): Ewha Womans University, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Seoul, Republic of Korea
  • Associate ProfessorΒ (March 2014 – February 2019): Ewha Womans University, College of Pharmacy and Graduate School of Pharmaceutical Sciences, Seoul, Republic of Korea

πŸŽ“Β Education

  • Pharm.D.Β (May 2003): University of Maryland, School of Pharmacy, Baltimore, MD, USA
  • Ph.D. in Pharmacokinetics and PharmacodynamicsΒ (February 1997): Ewha Womans University, Seoul, Republic of Korea

🏒 Clinical Professional Experience

  • Medical Committee Member/Pharmacy HeadΒ (September 2023 – February 2024): 2024 Gangwon Youth Olympic Games
  • Medical StaffΒ (July 2021): 2020 Tokyo Olympic Games
  • Head of PharmacyΒ (February 2018 – March 2018): 2018 PyeongChang Olympics and Paralympics Games
  • Advisor for Pharmacy ServiceΒ (July 2019 – August 2019): Gwangju 2019 World Aquatics Championships, Gwangju, South Korea

πŸ”¬Β Research Projects (Principal Investigator)

  • 2020-2023: Development of precision antimicrobial pharmaceutical care service and clinical outcomes by a machine learning-based antimicrobial treatment algorithm and Monte Carlo simulation (National Research Foundation of Korea grant)
  • 2021-2022: Development of various types of Computer-based Test (CBT) for the Health Care Professional National Licensing Examination (Korea Health Personnel Licensing Examination Institute)
  • 2017-2020: Implementation of pharmaceutical care practice models in infectious diseases managements to improve treatment outcomes and the quality of healthcare services (National Research Foundation of Korea grant)
  • 2022-2023: Optimization of selecting empirical antibiotics to improve clinical outcomes (Ewha Womans University)

πŸ“šΒ Teaching Experience

  • Pharm.D. Courses: Pharmacotherapy V (Infectious Diseases), Pharmacotherapy III (Neuropsychiatric Disorders), Pharmacy Lab VI, Introductory Pharmacy Practice Education, Advanced Pharmacy Practice Education
  • Graduate Courses: Clinical Health Data Analysis and Application, Pharmaceutical Care Service I & II, Pharmacotherapy and Practice Applications, Sports Pharmaceutical Care and Anti-doping

πŸ“œΒ Licenses & Certifications

  • IOC Certificate in Drugs in SportΒ (April 2019)
  • Advanced Cardiac Life Support (ACLS) and Basic Life Support (BLS) CertificationΒ (April 2005): American Heart Association
  • Pharmacy-based Immunization Delivery CertificationΒ (March 2006): American Pharmacists Association
  • Registered Pharmacist (Pennsylvania)Β (June 2004): National Board of Pharmacy
  • Registered Pharmacist (New Jersey)Β (October 2003): National Board of Pharmacy

Publication Top Notes:

  • Translation of Machine Learning-Based Prediction Algorithms to Personalised Empiric Antibiotic Selection: A Population-Based Cohort Study
    • Authors: Kim, C., Choi, Y.H., Choi, J.Y., Park, R.W., Rhie, S.J.
    • Citations: 2
  • Institutional-specific smartphone application as a supplemental tool for an antimicrobial stewardship program in 2 large community-based hospitals: Acceptance of physicians and pharmacists
    • Authors: Cho, S., Kim, C., Kim, S.H., Kim, C.-J., Rhie, S.J.
    • Citations: 3
  • Optimal antipseudomonal Ξ²-lactam drug dosing recommendations in critically-ill Asian patients receiving CRRT
    • Authors: Jang, S.M., Lewis, S.J., Rhie, S.J.
    • Citations: 4
  • Pharmacy services at the Tokyo 2020 Olympic and Paralympic Games: Perspectives of the pharmacy workforce
    • Authors: Kasashi, K., Sato, A., Stuart, M., Suzuki, S., Rhie, S.J.
    • Citations: 2