Fatima Akram | Industrial | Best Researcher Award

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Assist Prof Dr . Fatima Akram | Industrial | Best Researcher Award

Assist Prof Dr. Fatima Akram ,Saint Louis University, MO, USA, United States

Dr. Fatima Akram is an Assistant Professor at Saint Louis University in Missouri, USA. She is recognized for her contributions to her field through both research and teaching. Dr. Akram’s work focuses on advancing knowledge and practices within her discipline, and she is actively involved in various academic and professional communities. Her dedication to education and research has made her a respected figure at Saint Louis University and beyond.

Summary:

Dr. Fatima Akram is a highly accomplished researcher with a strong background in biotechnology, specifically in the area of biofuel production. Her academic achievements, extensive research experience, and numerous awards highlight her as a significant contributor to her field. Her work on thermostable enzymes and biofuel from plant biomass has not only garnered recognition but also has practical applications in the renewable energy sector. Her current post-doctoral fellowship in the United States further emphasizes her commitment to advancing her research skills and collaborating internationally.

Professional Profiles:

🎓 Education :

Dr. Fatima Akram has an extensive academic background in the fields of biotechnology and botany. She completed her Ph.D. in Biotechnology from GC University Lahore, where her research focused on “Gene Cloning, Characterization, and Thermodynamic Studies of Highly Thermostable Cellulolytic Enzymes from Genus Thermotoga.” Her M.Phil., also from GC University Lahore, concentrated on “Cloning, Expression, and Characterization of Thermostable Cellulolytic Gene (β-glucosidase) from Hyperthermophilic Bacterium (Thermotoga petrophila).” Prior to these, Dr. Akram earned her M.Sc. in Botany from the University of the Punjab, Lahore, and her B.Sc. in Botany, Zoology, and Chemistry from Queen Mary College, Lahore. Her foundational education was completed at Queen Mary College, where she pursued F.Sc. in Pre-Medical.

🏢 Experience:

Dr. Akram’s professional journey is marked by a progression from research roles to academic positions of increasing responsibility. Currently, she is serving as a Post-Doctoral Fellow in Biochemistry at Saint Louis University, USA. Prior to this, she has been an Assistant Professor at the Institute of Industrial Biotechnology, Government College University Lahore, since February 2018. She also served as a Lecturer at the same institute from June 2012 to February 2018. Additionally, Dr. Akram worked as a Research Officer on several notable projects funded by the Ministry of Science and Technology and the Higher Education Commission (HEC) of Pakistan, which further honed her expertise in biotechnology and enzyme characterization.

🛠️Skills:

Dr. Akram possesses a diverse set of skills that are integral to her research and teaching endeavors. Her technical expertise includes gene cloning, enzyme characterization, and thermodynamic studies, with a particular focus on thermostable cellulolytic enzymes from thermophilic bacteria. She is proficient in molecular biology techniques such as cloning, expression, and purification of recombinant proteins. Dr. Akram also has experience in biofuel production from plant biomass, highlighting her interdisciplinary approach that bridges biotechnology and sustainable energy.

🔬Awards:

Dr. Akram has been recognized multiple times for her contributions to science and innovation. Notably, she received the prestigious SATHA Award as a team member in the project “Production of Bio-energy from Plant Biomass” during the 6th Invention to Innovation Summit in 2017. Her innovation and research excellence have also earned her several awards at various summits, including the Global Cleantech Innovation Programme by UNIDO and multiple Innovation Awards at the Invention to Innovation Summits held at the University of the Punjab. Additionally, her academic excellence is underscored by a Roll of Honor and Gold Medal from Queen Mary College and a Talent Award from the University of the Punjab.

Research Focus:

Dr. Akram’s research primarily revolves around the production of biofuels from plant biomass, with a deep focus on the cloning, expression, and characterization of thermostable enzymes. Her work is instrumental in advancing the understanding of thermophilic bacteria, particularly those belonging to the genus Thermotoga, and their potential applications in industrial biotechnology. Her research has also led to the development of hyperstable recombinant enzymes, contributing to the fields of enzyme technology and sustainable energy. Dr. Akram’s dedication to her research is evidenced by her numerous patents, which showcase her innovative contributions to biotechnology.

Conclusion:

Dr. Fatima Akram is a suitable candidate for the Best Researcher Award. Her extensive academic background, research achievements, and numerous accolades make her a strong contender. However, to enhance her profile further, a more substantial publication record and evidence of leadership in research projects would be beneficial. Nonetheless, her current qualifications and contributions already position her as a distinguished researcher with significant potential for future impact in her field.

 

Publications :

Book Title: Techniques in Biochemistry and Biotechnology
Author: Dr. Fatima Akram
Publisher: Paramount Books (Pvt) Ltd
Year: 2018

 

Chapter Title: Role of Polyphosphate-Accumulating Organisms in Enhanced Biological Phosphorous Removal
Authors: Fatima Akram, Amna Aqeel, Zeeshan Ahmed, Javeria Zafar, Ikram ul Haq
Source: Advances in Pollution Research “Microbial Consortium and Biotransformation for Pollution Decontamination”
Publisher: Elsevier
Year: 2022

 

Chapter Title: Mentha
Authors: Muhammad Akram, Muhammad Tayyab Akhtar, Fatima Akram, Umar Farooq Gohar
Source: Essentials of Medicinal and Aromatic Crops
Publisher: Springer, Cham
Year: 2023

 

Zisheng Wang | Industrial Big Data | Best Researcher Award

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 Dr. Zisheng Wang | Industrial Big Data | Best Researcher Award

 Dr, Zisheng Wang,Tsinghua University, China

Dr. Zisheng Wang is affiliated with Tsinghua University in China. His research interests include mechanical engineering, robotics, and automation. Dr. Wang has contributed significantly to the field through his research and publications, focusing on topics such as optimization, robotic design, and advanced manufacturing techniques. He is actively involved in academic activities and has a strong background in both theoretical research and practical applications in engineering.

Professional Profiles:

Scopus

Education :

Doctorate (Ph.D. in Engineering)School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China (2018-2023),Bachelor’s Degree in Engineering,School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China (2014-2018)

 Experience:

  • Research Assistant,Department of Industrial Engineering, Tsinghua University, Beijing, China (December 2023 – Present)

Skills:

  • Condition monitoring and fault detection
  • Signal processing
  • Deep reinforcement learning
  • Intelligent maintenance of complex equipment
  • Compound fault recognition
  • Time-frequency transform technology
  • Fault diagnosis of robot arm

Awards:

  • Shuimu Tsinghua Scholar Project, Tsinghua University, Beijing, China, Grant: 2023SM233 (2024-2025)
  • Postdoctoral Fellowship Program of CPSF, China Postdoctoral Science Foundation, Grant: GZC20240820 (2024-2025)

Research Focus:

  • Autonomous recognition frameworks for compound faults in mechanical equipment
  • Deep reinforcement learning applications in fault recognition and maintenance
  • Multi-label fault recognition using machine learning algorithms
  • Transfer learning methods for fault recognition in different conditions

Publications :

  • An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment. Mechanical Systems and Signal Processing, 2024.
  • Multi-source information fusion deep self-attention reinforcement learning framework for multi-label compound fault recognition. Mechanism and Machine Theory, 2023.
  • Multi-label fault recognition framework using deep reinforcement learning and curriculum learning mechanism. Advanced Engineering Informatics, 2022.
  • A novel semi-supervised generative adversarial network based on the actor-critic algorithm for compound fault recognition. Neural Computing and Applications, 2022.
  • Alternative multi-label imitation learning framework monitoring tool wear and bearing fault under different working conditions. Advanced Engineering Informatics, 2022.