Mr. Kennedy Kipkoech | Infectious Disease Mathematical Modelling | Best Researcher Award

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Mr. Kennedy Kipkoech | Infectious Disease Mathematical Modelling | Best Researcher Award

PhD student at Infectious Disease Mathematical Modelling, University of Bristol, Kenya

Mr. Kennedy Kipkoech is a career Biostatistician and Modeler with 14 years of experience in research and policy at health research institutions and government agencies. He can work with researchers, program implementers, and policymakers in scientific inquiries, generating and disseminating new knowledge to inform policy and programming. His research interests focus on using epidemiological methods and statistical and mathematical modeling approaches to understand transmission dynamics and control of infectious diseases, particularly the evaluation of the impact of program interventions on HIV, viral hepatitis, and non-communicable diseases epidemics.

Professional Profiles:

Education:

Mr. Kennedy Kipkoech has a diverse academic background, including a Bachelor’s degree in Applied Statistics from Maseno University, Kenya, awarded with First Class Honors in 2008. He also holds a Master’s degree in Biostatistics from Moi University, Kenya, obtained in 2011. Currently, he is pursuing a Ph.D. in Infectious Disease Modelling at the University of Bristol/Cape Town, expected to be completed in 2024.

Experience:

From March 2010 to June 2013, Mr. Kennedy Kipkoech worked as a Data Analyst at the Kenya Medical Research Institute, Center for Global Health Research (KEMRICGHR) in Kisumu, Kenya. In this role, he was responsible for statistical data analysis and data management, scientific writing of manuscripts and abstracts, developing data tools, and liaising with software developers to develop and test program data management systems. Following this, from July 2013 to August 2014, he served as a Biostatistician at the Academic Model Providing Access to Healthcare (AMPATH) Research Collaboration in Eldoret, Kenya. His responsibilities included statistical data analysis, protocol and proposal development, manuscript and abstract writing and review, and updating and reporting to the Data and Safety Monitoring Board (DSMB) on an ad hoc basis. Subsequently, from September 2014 to April 2016, Mr. Kipkoech worked at the Kenya Medical Research Institute, Center for Global Health Research (KEMRICGHR) in Kisumu, Kenya, as a Statistician. Here, he was involved in statistical data analysis, protocol and proposal development, manuscript and abstract writing and review, and design and implementation of comprehensive monitoring and evaluation (M&E) systems for the program. He also provided training and mentorship to junior data staff.

Computing Skills:

Mr. Kennedy Kipkoech possesses a range of computing skills essential for his work. He is proficient in mathematical modeling software such as Estimation and Projection Package (EPP), Spectrum model (AIM, Goals and Resource Needs Model), Imperial College NCD model (C++ & Matlab), Incidence Pattern Model (R implementation), and DREAMS Cost and Impact Model. He is also skilled in various statistical packages including R, SAS, Stata, SPSS, and Geographic Information Systems (Q-GIS). Additionally, Mr. Kipkoech has experience with database management systems like MS Access and SQL Server. He is adept at using MS Office applications, has knowledge in graphic design, and is capable of hardware and software installation and maintenance.

Scholarships Awards:

Mr. Kennedy Kipkoech has received several scholarships and awards in recognition of his academic and professional achievements. These include the INSHU Conference registration scholarship award in Sydney, Australia in 2023, the ICASA Conference registration scholarship award in Durban, South Africa in 2021, and the University of Bristol, UK, and University of Cape Town, SA Cotutelle (dual) PhD award in 2019. He has also been awarded the RSTMH travel grant in 2017, the IAS Conference scholarship award in Durban, South Africa in 2016, and the HVR4P Conference scholarship award in Chicago, USA in 2016. Additionally, Mr. Kipkoech received the RSTMH travel grant in 2016 and 2015, and the 2015 HVTN Conference scholarship award in Cape Town, South Africa.

Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

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Assist Prof Dr. Umair Ayub | Computational Biology | Best Researcher Award

Assist Prof at Computational Biology, Bahria University Lahore Campus, Pakistan

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Umair Ayub has pursued a Ph.D. in Computer Science from August 2019 to December 2022 at the National University of Computer and Emerging Sciences in Islamabad, Pakistan, achieving an impressive CGPA of 3.95/4.0. His doctoral thesis focused on “Protein-Protein Interaction Network Alignment,” specifically examining the global and local alignment of two PPI networks. Prior to his Ph.D., Umair completed an MS in Computer Science from August 2016 to June 2018, with a CGPA of 3.65/4.0. His master’s thesis centered on the “Optimization of Ant-Miner (a rule-based classifier) Algorithm to Extract Accurate Classification Rules.” Umair initiated his academic journey with a BS in Computer Science from August 2012 to June 2016, earning a CGPA of 2.85/4.0. For his final year project, he worked on the “Automation of University Inventory System with Inventory Utilization Prediction and AI-based Reporting.”

Experience:

Umair Ayub’s professional journey in academia and research includes various significant roles:

  • Assistant Professor at Bahria University Lahore Campus, Lahore, Pakistan, since February 2023. In this role, he teaches computer science and data science courses at both undergraduate and graduate levels. Additionally, he serves as a member of the faculty hiring committee of the computer science department and leads the panel for final year projects.
  • Lecturer to Assistant Professor at the University of Management and Technology, Lahore, Pakistan, from September 2022 to March 2023. Here, he taught computer science courses at the undergraduate level and served as a member of the technical review committee for final-year projects.
  • Visiting Faculty Member at the National University of Computer and Emerging Sciences, Islamabad, from January 2022 to June 2022. In this position, he taught Data Structures and Algorithm Courses at the undergraduate level.
  • Research Associate at the Computational Biology Research Lab, Department of Computing, National University of Computer and Emerging Sciences, Islamabad, Pakistan, from September 2018 to August 2022. During this time, he conducted research in computational biology, machine learning, and deep learning. Additionally, he guided BS/MS students in understanding their research problems and helped them with machine learning models.

Research Projects:

Umair Ayub is currently involved in several research projects, including:

  • 3D Structure Prediction of Beta Barrel Membrane Proteins.
  • Forest of Genetic Algorithm for Functions Optimization.

Additionally, he is supervising the following MS-Thesis projects:

  • An Accurate Structure Aware Graph Convolutional Model for Extraction of Node Embeddings from Large Networks Data.
  • Impact of Different Topological Methods on PPI Network Alignment.
  • Gender and Age Group Identification using Facial Data.
  • Prediction of Autism Spectrum Disorder from Facial Data.

Research Areas:

Umair Ayub’s research areas include Machine Learning, Computational Biology, Networks Analysis, Swarm and Computational Intelligence, Statistical Modeling, and Function Optimization.

He has conducted several training workshops, including:

  • A 4-Day Training Workshop at the Bahria University Lahore Campus, Lahore. The primary objective of the workshop was to introduce students to the tools and techniques used in AI to solve complex problems.
  • A 5-day Training Workshop at the NUCES, Lahore. The primary objective of this workshop was to prepare students for research-related projects in the domain of AI in Healthcare.
  • A 5-day Training Workshop at the NUCES, Islamabad. The primary objective of this workshop was to introduce students to the AI domain with a specialty in healthcare.

 Skills:

Umair Ayub has achieved several distinctions, including being named the Punjab Educational Endowment Fund Scholar from 2016 to 2018 and earning the Bronze Medal in MS(CS) at NUCES, Islamabad. His skills include proficiency in Python, C++, LaTeX, Sklearn, Pytorch, Matplotlib, Numpy, and Linux.

Publications:

Title: “Predicting crop diseases using data mining approaches: classification” Authors: U Ayub, SA Moqurrab Year: 2018 Citations: 41

Title: “An accurate deep learning model for clinical entity recognition from clinical notes” Authors: SA Moqurrab, U Ayub, A Anjum, S Asghar, G Srivastava Year: 2021 Citations: 25

Title: “SAlign–a structure aware method for global PPI network alignment” Authors: U Ayub, I Haider, H Naveed Year: 2020 Citations: 12

Title: “PRRAT_AM—an advanced ant-miner to extract accurate and comprehensible classification rules” Authors: U Ayub, H Naveed, W Shahzad Year: 2020 Citations: 4

Title: “Opinion and emotion mining for Pakistan general election 2018 on Twitter data” Authors: S Khan, SA Moqurrab, R Sehar, U Ayub Year: 2019 Citations: 4

Title: “AMclr an improved ant-miner to extract comprehensible and diverse classification rules” Authors: U Ayub, A Ikram, W Shahzad Year: 2019 Citations: 3

Title: “BioAlign: An Accurate Global PPI Network Alignment Algorithm” Authors: U Ayub, H Naveed Year: 2022 Citations: 2

Title: “GSLAlign: community detection and local PPI network alignment” Authors: U Ayub Year: Not provided Citations: Not provided

 

Mr. MOHAMMED ALHARBAI | Mathematics | Best Researcher Award

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Mr. MOHAMMED ALHARBAI | Mathematics | Best Researcher Award

Riyadh at Mathematics , Prince Sattam bin Abdulaziz University, Saudi Arabia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Mohammed Alharbai pursued a Master’s degree in Dynamic Systems and their Applications in the field of digital image encryption and mathematical models of epidemics at the College of Science and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia, from 2018 to the present. Prior to this, he completed a Pre-Master’s program in Mathematics at the same institution in 2017-2018, achieving a grade of Very Good. His academic journey began with a Bachelor’s degree in Applied Mathematics, which he pursued at the College of Science, Al Qussaim University, Kingdom of Saudi Arabia, from 2013 to 2016, where he graduated with honors, achieving an Excellent with Honors classification.

Experience:

Mr. Mohammed Alharbai has been serving as a Mathematics Teacher at a secondary school in Medina, Kingdom of Saudi Arabia, since 2017. In this role, he is responsible for delivering instruction in mathematics to students, likely spanning various grade levels. His work involves creating and implementing lesson plans, assessing student progress, and providing necessary support and guidance to help students achieve academic success in mathematics. As a dedicated educator, Mr. Alharbai contributes to the educational development of students in the field of mathematics, aiming to instill a strong understanding of mathematical concepts and principles.

Skills:

Mr. Mohammed Alharbai has developed a range of computer skills, including proficiency in MatLab and Latex. He also holds an International Computer Driving Licence (ICDL). Additionally, he has dedicated himself to self-development, having attended numerous courses between 2016 and 2024. These courses covered a diverse array of topics, such as critical thinking skills, information technology, economics and finance, reflective teaching, basics of scientific research, skills for preparing a research plan, and scientific research methodologies and approaches.

Work Experience:

Mr. Mohammed Alharbai has gained a diverse range of work experiences, including the integration of technology in teaching practices. He possesses expertise in designing and implementing exam and student evaluation systems, as well as handling crisis management situations effectively. Furthermore, he is involved in developing guidelines for quality management system documentation. With a strong background in scientific research, he has experience in international publication and scientific writing, demonstrating his proficiency in communicating research findings effectively.

Dr. Amalesh Kumar Manna | Mathematics | Best Research Award

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Dr. Amalesh Kumar Manna | Mathematics | Best Research Award

Assistant Professor at Mathematics , Kalinga Institute of Industrial Technology (KIIT), India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Mathematics from Vidyasagar University, West Bengal, India (2012–2017) B.Ed. with First Class from Purba Medinipur B.Ed. College, West Bengal, India (2011–2012) M.Sc. in Mathematics with First Class from Vidyasagar University, West Bengal, India (2008–2010) B.Sc. in Mathematics with First Class from Mahishadal Raj College, West Bengal, India (2005–2008) Higher Secondary in Science with First Division from West Bengal Council of Higher Secondary Education, West Bengal, India (2002–2005) Secondary with First Division from West Bengal Board of Secondary Education, West Bengal, India (2000–2002)

Experience:

Associate Professor, Department of Basic Science and Humanities, University of Engineering & Management Kolkata, Kolkata-700091, West Bengal, India (2023–present) Assistant Professor, Department of Mathematics, C. V. Raman Global University, Bhubaneswar-752054, Odisha, India (2021–2023) UGC-Dr. D. S. Kothari Post-Doctoral Fellow, Department of Mathematics, The University of Burdwan, West Bengal, India (2019–2021) Ph.D. Student, Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, West Bengal, India (2012–2017) Guest Lecturer, Department of Mathematics, Mahishadal Raj College, West Bengal, India (2010–2012).

Amalesh Kumar Manna ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 1017, Since 2018: 957
  • Citations: 1017 (All), 957(Since 2018)
  • h-index: 19 (All), 19 (Since 2018)
  • i10-index: 25 (All), 25 (Since 2018)

These metrics showcase the impact of Manna ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Awards and Achievements:

March 2019: UGC-Dr. D. S. Kothari Post-Doctoral Fellowship, No.F.4-2/2006 (BSR)/MA/18-19/0023 2008-2010: West Bengal Govt. Merit-Cum-Means Fellowship for M.Sc. Course March 2012: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-332 March 2011: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-342 March 2010: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-317

Computer Skill:

Dr. Amalesh Kumar Manna is proficient in various operating systems, software, programming languages, and human languages, including:

  • Operating Systems: Windows, Linux
  • Software: LaTeX, Texmaker, Mathematica, LINGO
  • Programming Languages: C++, PSO
  • Languages: English, Hindi, Bengali

Research Area:

Dr. Amalesh Kumar Manna‘s research expertise encompasses a range of topics, including:

  • Ph.D. in Optimization, Inventory, Manufacturing inventory model, Supply chain model, Application of fuzzy mathematics on inventory and supply chain model
  • Post-doc research in Optimization of inventory problem, production inventory problem via meta-heuristic algorithm, Green manufacturing inventory model, Green supply chain model, Application of interval mathematics and interval differential equation on inventory and production inventory model

Publications:

Imperfect production inventory model with production rate dependent defective rate and advertisement dependent demand

  • Published in Energy in 2017 with 132 citations.

An application of preservation technology in inventory control system with price dependent demand and partial backlogging

  • Published in Energy in 2020 with 94 citations.

Supply chain coordination model for green product with different payment strategies: a game theoretic approach

  • Published in Energy in 2021 with 64 citations.

An inventory model for non-instantaneous deteriorating items with preservation technology and multiple credit periods-based trade credit financing via particle swarm optimization

  • Published in Energy in 2021 with 58 citations.

An application of interval differential equation on a production inventory model with interval‐valued demand via center‐radius optimization technique and particle swarm …

  • Published in Energy in 2020 with 53 citations.

Multi-item EPQ model with learning effect on imperfect production over fuzzy-random planning horizon

  • Published in Energy in 2017 with 41 citations.

Three-layer supply chain in an imperfect production inventory model with two storage facilities under fuzzy rough environment

  • Published in Energy in 2014 with 41 citations.

Two layers supply chain in an imperfect production inventory model with two storage facilities under reliability consideration

  • Published in Energy in 2018 with 38 citations.