Zhang Xinran | Cognitive neurophysiology | Young Scientist Award

 Dr. Zhang Xinran | Cognitive neurophysiology | Young Scientist Award

Dr. China Northern Vehicle Research Institute,  China

👩‍🔬 Xinran Zhang, Ph.D., is an accomplished researcher in cognitive physiology and transportation engineering, with a strong focus on big data, artificial intelligence, and brain-computer interface. Currently serving as an Engineer at the Innovation Research Institute of China Ordnance Industry Group, he has a rich academic background from prestigious institutions such as the University of Pennsylvania and Beijing Jiaotong University. With extensive experience in project management and a track record of publications and patents, Zhang excels in machine learning, C++, Python, and statistical analysis methods. A dedicated professional, he is committed to advancing knowledge in his field through rigorous research and academic excellence.🌟

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 Education Background🎓

Joint Training in Cognitive Physiology University of Pennsylvania, USA Instructor: Prof. Michael L. Platt Doctoral Degree (Recommended)Supervisor: President/Professor Yan Xuedong Dalian Maritime University, China Transportation Research Directions: big data and artificial intelligence, brain-computer interface, human factors engineering Transportation Engineering Beijing Jiaotong University, China

Work Experience🏢

  • Engineer
    • Innovation Research Institute, China Ordnance Industry Group Northern Vehicle Research Institute
    • June 2022 – Present

Research Experience🧪

National Natural Science Foundation of China Project Driver’s eye movements and EEG under different intersection visual distances based on driving simulation experiments Invention Project Prediction devices of intersection conflicts based on drivers’ EEG datasets (submitted), USA Project  Manager National Natural Science Foundation of China’s key international cooperation Research on the coupling mechanism of driving behavior and driving behavior (T17JB00210)Project Leader Basic Scientific Research Project of Central Universities of the Ministry of Education Risk identification and analysis of rear-end collision accidents based on driver cognition and vehicle control behavior National Key R&D Program of the Ministry of Science and Technology Quantitative index and evaluation method for describing mental fatigue by electroencephalogram (2023-China Ordnance Industry Group Project Source dynamic adaptation and emergency management technology

Foreign Language and Programming Skills🌐💻

English proficiency: passed CET6; passed the Ministry of Education’s study abroad personnel trainingProfessional skills: proficient in machine learning, C++, Python, Matlab, R language and other software and statistical analysis methods

Honors and Awards🏅

2019 National Public Scholarship Funding2017 Urban Transportation Special Scholarship2018 National ScholarshipOutstanding Graduates of Beijing Jiaotong University in 20212018 Second Prize in Science and Technology (Natural Science) of China Simulation Society

Personal Note🤝

  • Love scientific research, love academics, be down-to-earth and hardworking, and have perseverance.

Publications Top Notes 📝

  1. Title: How does intersection field of view influence driving safety in an emergent situation?
    • Authors: X Yan, X Zhang, Q Xue
    • Journal: Accident Analysis & Prevention
    • Volume: 119
    • Pages: 162-175
    • Year: 2018
    • Citations: 19

 

  1. Title: Changes in drivers’ visual performance during the collision avoidance process as a function of different field of views at intersections
    • Authors: X Yan, X Zhang, Y Zhang, X Li, Z Yang
    • Journal: PLoS one
    • Volume: 11
    • Issue: 10
    • Article: e0164101
    • Year: 2016
    • Citations: 14

 

  1. Title: Exploring the effects of EEG signals on collision cases happening in the process of young drivers’ braking
    • Authors: X Zhang, X Yan, J Stylli, ML Platt
    • Journal: Transportation Research Part F
    • Volume: 80
    • Pages: 381-398
    • Year: 2021
    • Citations: 10

 

  1. Title: Predicting collision cases at unsignalized intersections using EEG metrics and driving simulator platform
    • Authors: X Zhang, X Yan
    • Journal: Accident Analysis & Prevention
    • Volume: 180
    • Article: 106910
    • Year: 2023
    • Citations: 6

 

  1. Title: Comparing the Differences of EEG Signals Based on Collision and Non-collision Cases
    • Authors: X Zhang, X Yan
    • Journal: Advances in Human Factors of Transportation: Proceedings of the AHFE 2019
    • Year: 2020

 

Amr Mahdy | Numerical analysis | Best Researcher Award

Assoc Prof Dr. Amr Mahdy | Numerical analysis | Best Researcher Award

Assoc Prof Dr. Department of Mathematics, Faculty of Science, Zagazig University, Zagazig 44519, Egypt., 

👩‍🔬Dr. Amr Mahdy , a distinguished mathematician, holds a Ph.D. in Mathematics with a focus on numerical studies for linear and non-linear fractional order differential equations and their optimal control. With a solid academic background including a Bachelor’s and Master’s degree from Zagazig University, Egypt, they have excelled in their career as an educator and researcher. With over a decade of experience, they’ve served in various capacities at Zagazig University and Taif University, Saudi Arabia. Recognized as a Featured Scientist by Stanford University, their expertise lies in differential equations, offering valuable contributions to the field.🌟

 

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🎓Education

Bachelor of Science May 2006 Zagazig University, Zagazig, P.Q. Box. 44519, Egypt. Major: Mathematics Rank: First on graduation class (1st of 290) Grade: Excellent with Honor GPA: 86.10%. Master of Science in Differential Equation September 2009 Zagazig University, Faculty of Science Registered for M. Sc. January 2008 in the Faculty of Science, Zagazig University. Received M. Sc. in September 2009.Title of M. Sc.: “DIFFERENT ANALYTICAL METHODS FOR SOLVING LINEAR AND NON–LINEAR DIFFERENTIAL AND INTEGRAL EQUATIONS”.

🔍Research

  • Ph.D. in Mathematics
    Thesis Title: Numerical Studies for Linear and Non-Linear Fractional Order Differential Equations and their Optimal Control

💼Professional experience

Demonstrator Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt 7 October 2006 – 2009Assistant Lecturer
Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt 2009Lecturer Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt 2013 – PresentAssociative Professor Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt 2021 – PresentAssistant Professor Department of Mathematics, Faculty of Science, Taif University, Taif, Saudi Arabian 2017 – PresentFeatured Scientist Ranked in the top 2% of scientists by Stanford University (2022-2023)

Publications Top Notes 📝

  1. Title: Crank-Nicolson finite difference method for solving time-fractional diffusion equation
    Authors: NH Sweilam, MM Khader, AMS Mahdy
    Journal: Journal of Fractional Calculus and Applications
    Volume: 2
    Issue: 2
    Pages: 1-9
    Year: 2012
    Citations: 131

 

  1. Title: Numerical studies for fractional-order Logistic differential equation with two different delays
    Authors: NH Sweilam, MM Khader, AMS Mahdy
    Journal: Journal of Applied Mathematics
    Year: 2012
    Citations: 91

 

  1. Title: Numerical study for the fractional differential equations generated by optimization problem using Chebyshev collocation method and FDM
    Authors: MM Khader, NH Sweilam, AMS Mahdy
    Journal: Applied Mathematics & Information Sciences
    Volume: 7
    Issue: 5
    Year: 2013
    Citations: 81

 

  1. Title: An efficient numerical method for solving the fractional diffusion equation
    Authors: MM Khader, NH Sweilam, AMS Mahdy
    Journal: Journal of Applied Mathematics and Bioinformatics
    Volume: 1
    Issue: 2
    Pages: 1
    Year: 2011
    Citations: 79

 

  1. Title: Numerical studies for solving fractional-order Logistic equation
    Authors: NH Sweilam, MM Khader, AMS Mahdy
    Journal: International Journal of Pure and Applied Mathematics
    Volume: 78
    Issue: 8
    Pages: 1199-1210
    Year: 2012
    Citations: 76

 

  1. Title: Variable thermal conductivity and hyperbolic two-temperature theory during magneto-photothermal theory of semiconductor induced by laser pulses
    Authors: AMS Mahdy, K Lotfy, A El-Bary, IM Tayel
    Journal: The European Physical Journal Plus
    Volume: 136
    Pages: 1-21
    Year: 2021
    Citations: 73

 

  1. Title: Thermal-piezoelectric problem of a semiconductor medium during photo-thermal excitation
    Authors: AK Khamis, K Lotfy, AA El-Bary, AMS Mahdy, MH Ahmed
    Journal: Waves in Random and Complex Media
    Volume: 31
    Issue: 6
    Pages: 2499-2513
    Year: 2021
    Citations: 71

 

  1. Title: Analytical solution of magneto-photothermal theory during variable thermal conductivity of a semiconductor material due to pulse heat flux and volumetric heat source
    Authors: AMS Mahdy, K Lotfy, W Hassan, AA El-Bary
    Journal: Waves in Random and Complex Media
    Volume: 31
    Issue: 6
    Pages: 2040-2057
    Year: 2021
    Citations: 70

 

  1. Title: Electromagnetic Hall current effect and fractional heat order for microtemperature photo-excited semiconductor medium with laser pulses
    Authors: AMS Mahdy, K Lotfy, MH Ahmed, A El-Bary, EA Ismail
    Journal: Results in Physics
    Volume: 17
    Pages: 103161
    Year: 2020
    Citations: 66

 

  1. Title: Approximate solution for solving nonlinear fractional order smoking model
    Authors: AMS Mahdy, NH Sweilam, M Higazy
    Journal: Alexandria Engineering Journal
    Volume: 59
    Issue: 2
    Pages: 739-752
    Year: 2020
    Citations: 63

 

Nima Khodadadi | geotechnical engineering | Young Scientist Award

Dr. Nima Khodadadi | geotechnical engineering| Young Scientist Award

Dr. university of Miami, United States

👩‍🔬  Engaged in pioneering research as a Research Assistant in Structural Engineering at the University of Miami, with a focus on innovative approaches under Prof. Antonio Nanni.  Recognized for academic excellence with awards such as the ACI Fellowship foundation and the SEI Futures Fund Student Scholarship. Holds dual Ph.D. degrees in Material and Structural Engineering from the University of Miami and Structural Engineering from Iran University of Science and Technology.  Actively contributes to professional committees and engages in voluntary activities, demonstrating a commitment to both academic and societal advancement.🌟

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Position 🏢

University of Miami, Coral Gables, FL, USA Jan 2023–Current Research Assistant, Structural Engineering, Dept. of Civil and Arch Engineering
In the Field of Structure with Prof. Antonio Nanni. Florida International University, Miami, FL, USA May 2022–Dec 2022 Research Assistant, Wind Engineering, Dept. of Civil Engineering Iran University of Science and Technology, Tehran, Iran Sep 2016–Jan 2021 Research Assistant, Dept. of Civil Engineering In the Field of Structure Optimization with Prof. Ali Kaveh Nakhjevani Academy, Tabriz, Iran Nov 2016–Nov 2021 Scholastic Assessment Test (SAT) Tutor-Math Graduate Record Examination (GRE) Tutor-Math

Education 🎓

University of Miami, Coral Gables, FL, USA Jan 2023–Current, Ph.D. (Second) Material and Structural Engineering with Prof. Antonio NanniIran University of Science and Technology, Tehran, Iran Sep 2016–Jan 2021, Ph.D. (First) Structural Engineering – Optimization of 3D Frames with New Approach Using Different Shaped Sections; A Comparative Study with Prof. Ali Kaveh GPA: 3.90/4.00 (19.30/20)University of Tabriz, Tabriz, Iran
Sep 2014–Jul 2016, M.Sc. Structural Engineering – Optimal Design of Steel Box Column Using Charged System Search (CSS) Algorithm with Prof. Siamak Talatahri, GPA: 3.93/4.00 (19.69/20)University of Tabriz, Tabriz, Iran Sep 2010– Jul 2014, B.Sc. Civil Engineering GPA: 3.23/4.00 (16.33/20)

Awards 🏅

Student of the year at 9th Annual Toppel Awards at University of Miami 2024ACI Fellowship foundation 2024SEI Futures Fund Student Scholarship 2024Wulkan Family American Public Transportation Foundation Endowed Scholarship 2023Awarded a Non-Academic Research Internships for Graduate Students (INTERN) 2023Academic Excellence Awardees, University of Miami 20231st rank among students at Iran University of Science and Technology, Department of Civil Engineering 2020, 2021Obtaining an award for Iran’s National Elites Foundation 20191st rank among researchers at Iran University of Science and Technology, Department of Civil Engineering 2019Obtaining awards for Iran’s National Elites Foundation 2018Province Educational Gold Medal: Awarded by the University of Tabriz, Master of Science (M.Sc.) 2017M.Sc. thesis marked, 20 out of 20 20161st rank among students at University of Tabriz Master of Science (M.Sc.) 2016Among 1% of approximately 30,000 Participants Who Passed Iranian Nationwide Universities’ Master Entrance Exam in the Field of Civil Engineering 20101230th rank among more than 310,000 participants in 2010 Iranian National University Entrance Exam in the whole country1st rank student for four consecutive years of high-school and pre-university curriculum

Voluntary Activities 🤝

E-Board of ACI’s Task Group on Artificial Intelligence ACI 135 Committee Voting Member- Machine Learning-Informed Construction and DesignE-Board of Graduate Student Association (GSA) at University of MiamiACI 130-00 Committee Member- Sustainability of ConcreteACI 440-00 Committee Member- Fiber Reinforced Polymer ReinforcementACI 440-0G Committee Member- FRP StudentTeaching physics and mathematics to high school poor students as a charityTransplant Organ Procurement Unit MemberBlood Donation Group MemberDisaster Engineering Assistance Team (Varzeghan & Kermanshah Earthquakes)

Publications Top Notes 📝

  1. Title: Mountain gazelle optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems
    Authors: B Abdollahzadeh, FS Gharehchopogh, N Khodadadi, S Mirjalili
    Journal: Advances in Engineering Software
    Volume: 174
    Pages: 103282
    Year: 2022
    Citations: 151

 

  1. Title: Meta-heuristic optimization and keystroke dynamics for authentication of smartphone users
    Authors: ESM El-Kenawy, S Mirjalili, AA Abdelhamid, A Ibrahim, N Khodadadi, …
    Journal: Mathematics
    Volume: 10
    Issue: 16
    Pages: 2912
    Year: 2022
    Citations: 116

 

  1. Title: Stochastic paint optimizer: theory and application in civil engineering
    Authors: A Kaveh, S Talatahari, N Khodadadi
    Journal: Engineering with Computers
    Volume: 38
    Pages: 1921-1952
    Year: 2020
    Citations: 100

 

  1. Title: Classification of monkeypox images based on transfer learning and the Al-Biruni Earth Radius Optimization algorithm
    Authors: AA Abdelhamid, ESM El-Kenawy, N Khodadadi, S Mirjalili, DS Khafaga, …
    Journal: Mathematics
    Volume: 10
    Issue: 19
    Pages: 3614
    Year: 2022
    Citations: 98

 

  1. Title: Al-Biruni Earth Radius (BER) Metaheuristic Search Optimization Algorithm
    Authors: M El Sayed, AA Abdelhamid, A Ibrahim, S Mirjalili, N Khodadadi, …
    Journal: Computer Systems Science and Engineering
    Volume: 45
    Issue: 2
    Pages: 1917-1934
    Year: 2023
    Citations: 91

 

  1. Title: Metaheuristic optimization for improving weed detection in wheat images captured by drones
    Authors: ESM El-Kenawy, N Khodadadi, S Mirjalili, T Makarovskikh, M Abotaleb, …
    Journal: Mathematics
    Volume: 10
    Issue: 23
    Pages: 4421
    Year: 2022
    Citations: 85*

 

  1. Title: Feature selection in wind speed forecasting systems based on meta-heuristic optimization
    Authors: ESM El-Kenawy, S Mirjalili, N Khodadadi, AA Abdelhamid, MM Eid, …
    Journal: Plos one
    Volume: 18
    Issue: 2
    Pages: e0278491
    Year: 2023
    Citations: 83

 

  1. Title: Classification of Breast Cancer Using Transfer Learning and Advanced Al-Biruni Earth Radius Optimization
    Authors: AA Alhussan, AA Abdelhamid, SK Towfek, A Ibrahim, L Abualigah, …
    Journal: Biomimetics
    Volume: 8
    Issue: 3
    Pages: 270
    Year: 2023
    Citations: 79*

 

  1. Title: An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems
    Authors: N Khodadadi, L Abualigah, ESM El-Kenawy, V Snasel, S Mirjalili
    Journal: IEEE Access
    Volume: 10
    Pages: 106673-106698
    Year: 2022
    Citations: 79

 

  1. Title: Advanced dipper-throated meta-heuristic optimization algorithm for digital image watermarking
    Authors: ESM El-Kenawy, N Khodadadi, A Khoshnaw, S Mirjalili, AA Alhussan, …
    Journal: Applied Sciences
    Volume: 12
    Issue: 20
    Pages: 10642
    Year: 2022
    Citations: 76*

 

 

Sudagar S | Hydrogen Production | Best Researcher Award

Dr. Sudagar S | Hydrogen Production| Best Researcher Award

Dr,IFET College of Engineering, Villupuram, TamilNadu,  India

👩‍🔬  Possessing a Ph.D. in Mechanical Engineering from Anna University, with expertise in experimental investigations on alternative fuels.  Demonstrated teaching prowess as an Assistant Professor at IFET College of Engineering and as a Lecturer at Ayyappa Polytechnic, Ulunthurpet.  Equipped with a strong academic background, including an M.Tech in Energy Technology and a B.E. in Mechanical Engineering.  Experienced in handling subjects like Power Plant Engineering, Mechatronics, and Automobile Engineering, alongside managing various laboratory sessions.  Recognized for academic excellence and contributions to the field of mechanical engineering.🌟

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🎓Educational Qualification

Ph.D. in Mechanical Engineering Anna University 2017-2023 Highly Recommended (Viva examination completed on 09.06.2023). M.Tech in Energy Technology Pondicherry Engineering College (Pondicherry University) 2012-2014 First Class. B.E. in Mechanical Engineering
IFET College of Engineering (Anna University) 2007-2011 First Class. HSC State Board 2006-2007 Krishnasamy Memorial Matriculation Higher Secondary School, Cuddalore First Class. SSLC Matriculation 2004-2005 Krishnasamy Memorial Matriculation Higher Secondary School, Cuddalore First Class

🔬Project Work Undertaken

U.G Design and Fabrication of Pick and Place Robot Under the Guidance of Mr. R. Vetri, Associate Professor, Department of Mechanical Engineering, IFET College of Engineering, Villupuram, Tamil NaduPG (Energy Technology) Studies on Pyrolysis of Waste Milk Cover
Under the Guidance of Dr. M. Pugazhvadivu, Professor, Department of Mechanical Engineering, Puducherry Technological UniversityPh.D (Mechanical Engineering) Experiment Investigations on Syngas and Esterified Pyrolytic oil Derived From Delonix Regia Pod and Seed in a CI Engine
Under the Supervisor Dr. R. Senthil, Professor, Department of Mechanical Engineering, UCEV, Villupuram

💼Work Experience

Assistant Professor Mechanical Engineering IFET College of Engineering, Villupuram (Affiliated to Anna University, Chennai)
Teaching 30.06.2014 to 14.06.2016. Lecturer Mechanical Engineering Ayyappa Polytechnic, Ulunthurpet Teaching 1/11/2011 to 25/4/2012

🏅Additional Experience

Worked as a Department member in the Internal Assessment exam cell (July 2014-Dec 2015) in IFET College of Engineering, Villupuram. Worked as a Department library in charge (July 2014-Jan 2016) in the Mechanical Engineering department. Worked as Department member in conducting semester examination (Anna university exam cell member) (Jan 2016-June 2016).

📚 Subjects Handled

  • Semester/Year: Odd/(2014-2015)
    Name of subject: Power plant Engineering
    Student Passed Percentage: 94.5
  • Semester/Year: Even/(2014-2015)
    Name of subject: Maintenance Engineering, Design of Transmission System
    Student Passed Percentage: 96.5, 95.5
  • Semester/Year: Odd(2015-2016)
    Name of subject: Mechatronics, Renewable Energy
    Student Passed Percentage: 96.5, 95.2
  • Semester/Year: Even(2015-2016)
    Name of subject: Automobile Engineering
    Student Passed Percentage: 96.5
  • Semester/Year: Odd/(2016-2017)
    Name of subject: Process Planning & Cost Estimation, Power Plant Engineering
    Student Passed Percentage: 97.5, 96.5
  • Semester/Year: Even (2016-2017)
    Name of subject: Automobile Engineering
    Student Passed Percentage: 97.5

🔬Name of Laboratory Handled

Semester/Year: Odd/(2014-2015) Name of the laboratory: MechatronicsSemester/Year: Even/(2014-2015), Name of the laboratory: Manufacturing Lab-ISemester/Year: Even(2015-2016), Name of the laboratory: Thermal lab-IISemester/Year: Odd/(2016-2017), Name of the laboratory: Thermal lab-I, MechatronicsSemester/Year: Even(2015-2016), Name of the laboratory: Strength of Material

Publications Top Notes 📝

  1. Title: Comparative study of performance and emission characteristics of bio-oil from waste milk and oil cover in CI engine
    Publication: Materials Today: Proceedings
    Year: 2023
    Type: Conference paper
    DOI: 10.1016/j.matpr.2022.09.158
    EID: 2-s2.0-85138831028
    Contributors: Ramalingam, S.; Sudagar, S.; Ashok, M.; Balamurugan, R.; Mohan, G.

 

  1. Title: Production of third generation bio-fuel through thermal cracking process by utilizing Covid-19 plastic wastes
    Publication: Materials Today: Proceedings
    Year: 2023
    Type: Conference paper
    DOI: 10.1016/j.matpr.2022.09.430
    EID: 2-s2.0-85139362043
    Contributors: Ramalingam, S.; Thamizhvel, R.; Sudagar, S.; Silambarasan, R.

 

  1. Title: Investigation on performance, combustion and emission characteristics of biodiesel – Ethanol blends with hydrogen in CI engine
    Publication: International Journal of Hydrogen Energy
    Year: 2023-06
    Type: Journal article
    DOI: 10.1016/j.ijhydene.2023.03.009
    Contributors: Senthil Ramalingam; Manikandan Radhakrishnan; Sudagar Subramanian

 

  1. Title: An alternative fuel to CI engine: delonix regia seed through biochemical and solar-assisted thermal cracking process
    Publication: International Journal of Environmental Science and Technology
    Year: 2023-04
    Type: Journal article
    DOI: 10.1007/s13762-022-04299-1
    Contributors: sudagar s; S. Ramalingam; A. subramanian

 

  1. Title: Experimental investigation on producer gas generation through briquettes using agricultural wastes
    Publication: Advances in Biofeedstocks and Biofuels, Production Technologies for Solid and Gaseous Biofuels
    Year: 2022
    Type: Book chapter
    DOI: 10.1002/9781119785842.ch7
    EID: 2-s2.0-85147977214
    Contributors: Ramlingam, S.; Rajendiran, B.; Thendral, T.; Sudagar, S.

 

  1. Title: Utilization of pyrolytic oil and hydrogen enriched syngas from single feedstock (delonix regia) through pyrolysis process and its influence on performance and emission characteristics in CI engine
    Publication: International Journal of Hydrogen Energy
    Year: 2022-10
    Type: Journal article
    DOI: 10.1016/j.ijhydene.2022.08.262
    Contributors: Senthil Ramalingam; Sudagar Subramanian; Angayarkanny

 

 

 

Yasaman Taslimi | diagnosis | Best Researcher Award

Dr. Yasaman Taslimi | diagnosis| Autonomous systems | Best Researcher Award

Dr, Pasteur institute of Iran, Iran

👩‍🔬 Dedicated researcher with a Ph.D. in Biology from Pasteur Institute of Iran, specializing in molecular genetics and parasitology. 🧬 Skilled in molecular diagnostics and protein analysis for Leishmaniasis. Currently serving as a Researcher in Immunotherapy and Leishmania Vaccine Research at Pasteur Institute, with extensive teaching and visiting researcher experience globally.  Recognized for academic excellence with awards including first rank in Ph.D. studies. Passionate about advancing immunotherapy and infectious disease research, with notable presentations at international congresses and a diverse range of specialized courses attended.🌟

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Education 📚

B.Sc. in Nutrition Azad University, Tehran, Iran 2000, M.Sc. in Biochemistry Azad University, Damghan, Iran 2015, PhD in Biology Pasteur Institute of Iran 2023

Position 💼

  • Researcher in Immunotherapy and Leishmania Vaccine Research Department
    Pasteur Institute of Iran
    2000-Present

Area of Expertise 🧬

  • Molecular genetics, molecular parasitology, gene function and expression.
  • Molecular diagnosis of Leishmaniasis.
  • Arginase assay.
  • Protein analysis techniques such as Western Blot, Elisa.
  • PEA assay.
  • LAMP assay.

Courses 🎓

Molecular DATA for infectious disease, ITM, Antwerp, Belgium, 2018International Workshop of Leishmania and Leishmaniasis, Pasteur Iran, 2016Molecular Biology of Leishmaniasis, ICGEB, Trieste, Italy, 2016.Targeting and Expression of Gene in Cells, International Congress of Immunology, Tehran, 2014How to write an International Article, Elsevier workshop, Tehran, 2014Application of Bioinformatics in Biotechnology, Pasteur Iran, 2013Flow Cytometry workshop, Pasteur Iran, 2012Quality Control Management, Pasteur Iran, 2012Calibration methods and standards, Pasteur Iran, 2011Life skills courses (Depression, Anger management, Time management, …), Pasteur, 2010Advanced Molecular Genetic course, Pasteur Iran, 2006ICDL courses, 2006

Teaching 📝

High throughput technologies in translational immunology, Pasteur, Iran, 2022Western Blot, Practical, School of Pharmacy, Shahid Beheshti University, Tehran, Iran, 2016Immunology of infectious disease, Practical, Pasteur Iran, 2006

Visiting Researcher 🌍

Gothenburg University (Leishild-MATI RISE project), Department of Microbiology and Immunology at Institute of Biomedicine, 2019/02/26-2019/05/14Pasteur Institute of Paris (Leishild-MATI RISE project), Department of Molecular Parasitology and Signaling, 2023/12/17-2023/02/17

Congress Presentations 🗣️

International Congress of Dermatology, Cosmetics and Laser, Iran, Tehran, 2022.International congress of immunology, Iran, Ahvaz, 2021.The 17th International Congress of Immunology, Beijing, China, 2019.Molecular Biology of Leishmania course, Trieste, Italy, 2016.Annual Symposium of the Institut Pasteur International Network, Paris, 2015.6th Worldleish international congress, Toledo, Spain, 2017.

Awards 🏆

The Second National Conference on New Cellular and Molecular, Iran, 2015.13th International Congress of Immunology and Allergy of Iran, Tabriz, 2015.First ranked Ph.D. student in Pasteur Institute of Iran, 2018.

Publications Top Notes 📝

  1. Title: Immunization with the hybrid protein vaccine, consisting of Leishmania major cysteine proteinases Type I (CPB) and Type II (CPA), partially protects against leishmaniasis
    Authors: A Zadeh-Vakili, T Taheri, Y Taslimi, F Doustdari, AH Salmanian, S Rafati
    Journal: Vaccine
    Volume: 22
    Issue: 15-16
    Pages: 1930-1940
    Year: 2004
    Citations: 81

 

  1. Title: Enhanced Protective Efficacy of Nonpathogenic Recombinant Leishmania tarentolae Expressing Cysteine Proteinases Combined with a Sand Fly Salivary Antigen
    Authors: F Zahedifard, E Gholami, T Taheri, Y Taslimi, F Doustdari, N Seyed, …
    Journal: PLoS neglected tropical diseases
    Volume: 8
    Issue: 3
    Pages: e2751
    Year: 2014
    Citations: 79

 

  1. Title: Development of Novel Prime-Boost Strategies Based on a Tri-Gene Fusion Recombinant L. tarentolae Vaccine against Experimental Murine Visceral Leishmaniasis
    Authors: N Saljoughian, T Taheri, F Zahedifard, Y Taslimi, F Doustdari, …
    Journal: PLoS neglected tropical diseases
    Volume: 7
    Issue: 4
    Pages: e2174
    Year: 2013
    Citations: 75

 

  1. Title: Leishmania major heat shock protein 70 (HSP70) is not protective in murine models of cutaneous leishmaniasis and stimulates strong humoral responses in cutaneous and visceral …
    Authors: S Rafati, E Gholami, N Hassani, F Ghaemimanesh, Y Taslimi, T Taheri, …
    Journal: Vaccine
    Volume: 25
    Issue: 21
    Pages: 4159-4169
    Year: 2007
    Citations: 71

 

  1. Title: Cysteine proteinase type III is protective against Leishmania infantum infection in BALB/c mice and highly antigenic in visceral leishmaniasis individuals
    Authors: N Khoshgoo, F Zahedifard, H Azizi, Y Taslimi, MJ Alonso, S Rafati
    Journal: Vaccine
    Volume: 26
    Issue: 46
    Pages: 5822-5829
    Year: 2008
    Citations: 61

 

 

Sahar Zeinali | Autonomous systems| Best Researcher Award

Dr. Sahar Zeinali| Autonomous systems | Best Researcher Award

Dr, Institute for Electrical Engineering in Medicine, University of Luebeck, Germany

👩‍🔬 With a Ph.D. in Control Systems from Sharif University of Technology and experience as a Researcher in Automotive Systems at the University of Lübeck, Germany, I specialize in developing driving assistance systems for autonomous vehicles. Collaborating with industry leaders like ZF Group and Infineon Technologies, my work focuses on model-based and AI-based methods to enhance energy efficiency, driving comfort, and safety. Proficient in MATLAB, Simulink, and Python, I have a strong background in software architecture design and algorithm implementation. Recognized for academic excellence and ranked among top university entrants, I bring expertise in control engineering and a dedication to innovation in automotive technology.🌟

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💼Professional Experience

Researcher in Automotive Systems University of Lübeck, Lübeck, Germany 2022–Present Collaborated with ZF Group and Infineon Technologies on the EEmotion project. Developed driving assistance systems for autonomous vehicles using model-based and AI-based methods. Enhanced energy-efficiency, driving comfort, and safety. Created software and system simulation requirements. Designed software architecture and interfaces for integration and evaluation purposes. Implemented and validated algorithms in the simulation environment. Conducted Software-in-the-loop (SIL) testing. Control Engineer (Part-time) Namvaran Consulting Company, Tehran, Iran 2018–2019

🎓Education

Ph.D. in Control Systems Sharif University of Technology, Tehran, Iran 2016–2021 Visiting Researcher in Control Systems Universitat Autònoma de Barcelona, Barcelona, Spain 2019–2020 M.Sc. in Modeling, Simulation and Control Sharif University of Technology, Tehran, Iran 2013–2015 B.Sc. in Chemical Engineering Sharif University of Technology, Tehran, Iran 2009–2013 Notable Projects Design of Interaction-Aware Driving Assistance Systems for Autonomous Vehicles University of Lübeck, Lübeck, Germany 2023–Present

🖥️Skills

  • Software: MATLAB & Simulink, IPG CarMaker, Comsol Multiphysics
  • Python Packages & Libraries: TensorFlow, Keras, Scikit-learn, Gymnasium
  • Programming Language: Python, MATLAB, C++
  • Agile Methodology: Scrum
  • Development Tools: Git
  • Typesetting: LaTeX, Microsoft Office
  • Operating System: Windows, macOS

🏆Honors

Recognized for studying at Sharif University of Technology, Iran’s top university. Ranked 3rd out of over 2000 participants in the Ph.D. Entrance Exam in Iran, 2015. Directly admitted to the M.Sc. program as an Exceptional Talented Student, top 10% by GPA, at Sharif University of Technology, Tehran, Iran, 2013. Ranked 500th among more than 350,000 university entrance participants in Iran, 2009. Member of Iran’s National Elites Foundation. Admitted to Exceptional Talents Schools, 2002–2009, Tabriz, Iran.

Publications Top Notes 📝

  1. S. Zeinali, M. Fleps-Dezasse, J. King, and G. Schildbach, “Design of a utility-based lane change decision making algorithm and a motion planning for energy-efficient highway driving,” Control Engineering Practice, 146, 105881, 2024.

 

  1. X. Zhang, S. Zeinali, and G. Schildbach, “Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,” European Control Conference (ECC), 2024.

 

  1. X. Zhang, S. Zeinali, and G. Schildbach, “Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,” Accepted in IEEE Transactions on Control Systems Technology, 2024.

 

  1. S. Zeinali, M. Shahrokhi, and A. Pishro, “Observer-based controller for treatment of hepatitis C infection using fractional order model,” Mathematical Methods in the Applied Sciences, 45(17), 10689-10709, 2022.

 

  1. S. Zeinali and M. Shahrokhi, “Observer-based singularity-free nonlinear controller for uncertain systems subject to input saturation,” European Journal of Control, 52, 49-58, 2020.

 

  1. S. Zeinali, M. Shahrokhi, and A. Ibeas, “Observer-based impulsive controller design for treatment of hepatitis C disease,” Industrial & Engineering Chemistry Research, 59(43), 19370-19382, 2020.

 

  1. S. Zeinali and M. Shahrokhi, “Adaptive control strategy for treatment of hepatitis C infection,” Industrial & Engineering Chemistry Research, 58(33), 15262-15270, 2019.

 

 

Emily Bonner | Environmental Chemistry | Best Researcher Award

Ms. Emily Bonner | Environmental Chemistry | Best Researcher Award

Ms, Oregon State University, United States

👩‍🔬Emily Bonner, MS, is a dedicated Toxicology PhD Candidate at Oregon State University with a keen focus on evaluating chemical exposures, particularly in firefighting contexts. Her research spans the use of innovative passive sampling techniques to assess firefighter and community exposures, alongside developing interventions to enhance personal protective equipment (PPE) effectiveness. With a solid foundation in analytical chemistry and statistics, Emily excels in data analysis and research translation, effectively communicating findings to diverse stakeholders. Her leadership roles in academic organizations and extensive outreach efforts underscore her commitment to advancing public health and safety.🌟

Profile

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📚Academic History

Oregon State University, Corvallis, OR 2019 – 2024 (anticipated)

  • Ph.D. in Toxicology, Statistics minor
  • Concurrent M.S., Toxicology (2021)
    Thesis: “Evaluating Firefighter and Community Chemical Exposures Using Passive Sampling”
    Advisor: Dr. Kim Anderson

Syracuse University, Syracuse, NY 2016 – 2019

  • BS, Biochemistry (with distinction), summa cum laude
  • Renee Crown University Honors Program
    Thesis: “An Exploration of Ruthenium Catalyzed Alder ene Reactions”
    Advisor: Dr. Nancy Totah

💼Relevant Skills

Relevant Research Experience

  • NIEHS Ruth L. Kirschstein NRSA Pre-Doctoral Fellow, Oregon State University
  • NIEHS P42 Superfund Hazardous Substances Research Trainee, Oregon State University
  • Graduate Research Assistant, Oregon State University
  • Undergraduate Honors Researcher, Syracuse University

Oregon State University, Food Safety and Environmental Stewardship Lab

  • Doctoral Research
    • Skills: Organization of complex sampling campaigns, communication, data management, analytical chemistry techniques, community-engaged research.
    • Projects: Evaluating firefighter and community chemical exposures, characterizing exposure to polycyclic aromatic hydrocarbons in an industrial community.

Syracuse University, Totah Lab

  • Undergraduate Honors Research
    • Studied regioselectivity of the Ruthenium-catalyzed Alder ene reaction, culminating in an honors thesis.

Additional Lab/Software Skills

  • Cell culture, gel electrophoresis, PCR, protein modeling, etc.

🏆Grants/Awards

  • Multiple awards and grants for research excellence and dedication.

🎓 This academic history demonstrates a strong background in biochemistry and toxicology, complemented by extensive research experience and recognition for outstanding academic achievements.

Publications Top Notes 📝

  1. Title: Silicone passive sampling used to identify novel dermal chemical exposures of firefighters and assess PPE innovations
    • Authors: Bonner, E.M., Horn, G.P., Smith, D.L., Adams, K.T., Anderson, K.A.
    • Journal: International Journal of Hygiene and Environmental Health
    • Year: 2023
    • Volume: 248
    • Pages: 114095
    • Citations: 5

 

  1. Title: Firefighter exposures to potential endocrine disrupting chemicals measured by military-style silicone dog tags
    • Authors: Poutasse, C.M., Haddock, C.K., Poston, W.S.C., Hoffman, P.D., Anderson, K.A.
    • Journal: Environment International
    • Year: 2022
    • Volume: 158
    • Pages: 106914
    • Citations: 8

 

  1. Title: The chemistry and toxicology of vaping
    • Authors: Bonner, E., Chang, Y., Christie, E., Wilson, L.B., Tanguay, R.L.
    • Journal: Pharmacology and Therapeutics
    • Year: 2021
    • Volume: 225
    • Pages: 107837
    • Citations: 30

 

Alessia Annibale | Statistical Physics | Best Researcher Award

Dr. Alessia Annibale | Statistical Physics | Best Researcher Award

Dr, King’s College London, United Kingdom

👩‍🔬Dr. Annibale, a Senior Lecturer at King’s College London, emerged from the esteemed group of Nobel laureate Giorgio Parisi at Sapienza University in Rome. Renowned for her groundbreaking contributions to spin-glasses, complex networks, and nonequilibrium statistical physics, she excels in both theoretical frameworks and practical algorithms. Her recent book, co-authored for Oxford University Press, delves into the intricacies of complex networks theory. With expertise in statistical mechanics, she investigates how network structures impact diverse processes like information processing and epidemic spreading. Dr. Annibale pioneers statistical physics methods in understanding the resilience of parallel information processing in machine learning. Exploring biological information processing systems, she utilizes spin-glasses and neural networks theory to decipher cellular thinking and gene-regulatory networks. Her work, published in esteemed journals and recognized in editor’s selections nine times, recently earned her a provisional selection for the Best Researcher Award at the International Young Scientist Awards. Her groundbreaking research on dynamically selected steady states in non-reciprocal networks expands the understanding of disordered systems, bridging equilibrium spin-glasses and dynamical systems theory.🌟

Profile

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Main Research Themes and Expertise 🧠🔬

  1. Equilibrium Analysis of Complex Systems
    • Investigates processes on networks such as spin models, Kuramoto oscillators, and epidemic spreading.
    • Explores disordered systems including Neural Networks and Spin-glasses, employing supersymmetric approaches.
  2. Non-equilibrium Analysis of Complex Systems
    • Develops methods like Dynamical cavity and Generating functional analysis.
    • Applies Markov models to stochastic trajectories, studying aggregation, fragmentation, and exchange processes.
    • Examines glassy dynamics, coarsening processes, and fluctuation-dissipation violations.
  3. Networks and Graphs
    • Utilizes null models for network characterization and studies network dynamics.
    • Investigates sampling and inference techniques in network analysis.

Education 📚

PhD in Applied Mathematics, King’s College London (UK), 2004-2007 Thesis on fluctuation-dissipation relations and heterogeneities in coarsening systems. MSci in Theoretical Physics, University of Rome (Italy), 1998-2003 Explored the complexity in the Sherrington-Kirkpatrick model using supersymmetric calculations.

Academic Employment 💼

Senior Lecturer at King’s College London, with extensive teaching and supervisory roles. Directed and coordinated various academic programs and doctoral training initiatives.

Key Duties

  1. Leadership roles in academic programs and doctoral training initiatives.
  2. Extensive teaching and supervision of undergraduate and postgraduate students.
  3. Involvement in research projects and committees.

Publications Top Notes 📝

  1. Title: Immune networks: multitasking capabilities near saturation
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 41
    • Pages: 415003
    • Citations: 76

 

  1. Title: Constrained Markovian dynamics of random graphs
    • Authors: ACC Coolen, A De Martino, A Annibale
    • Journal: Journal of Statistical Physics
    • Year: 2009
    • Volume: 136
    • Pages: 1035-1067
    • Citations: 65

 

  1. Title: Tailored graph ensembles as proxies or null models for real networks I: tools for quantifying structure
    • Authors: A Annibale, ACC Coolen, LP Fernandes, F Fraternali, J Kleinjung
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2009
    • Volume: 42
    • Issue: 48
    • Pages: 485001
    • Citations: 61

 

  1. Title: Extensive parallel processing on scale-free networks
    • Authors: P Sollich, D Tantari, A Annibale, A Barra
    • Journal: Physical review letters
    • Year: 2014
    • Volume: 113
    • Issue: 23
    • Pages: 238106
    • Citations: 60

 

  1. Title: Immune networks: multi-tasking capabilities at medium load
    • Authors: E Agliari, A Annibale, A Barra, ACC Coolen, D Tantari
    • Journal: Journal of Physics A: Mathematical and Theoretical
    • Year: 2013
    • Volume: 46
    • Issue: 33
    • Pages: 335101
    • Citations: 38

 

  1. Title: Spin, bond and global fluctuation–dissipation relations in the non-equilibrium spherical ferromagnet
    • Authors: A Annibale, P Sollich
    • Journal: Journal of Physics A: Mathematical and General
    • Year: 2006
    • Volume: 39
    • Issue: 12
    • Pages: 2853
    • Citations: 36

 

  1. Title: Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods
    • Authors: LP Fernandes, A Annibale, J Kleinjung, ACC Coolen, F Fraternali
    • Journal: PloS one
    • Year: 2010
    • Volume: 5
    • Issue: 8
    • Pages: e12083
    • Citations: 30

 

 

Sara Simblett | Molecular Immunology | Best Researcher Award

Dr. Sara Simblett | Molecular Immunology| Best Researcher Award

Dr, King’s College London, United Kingdom

👩‍🔬 Sara Simblett, DClinPsy, PhD, is a versatile 🧠 clinical psychologist and researcher with extensive expertise in neuropsychology and digital health. With a Doctorate in Clinical Psychology from the Institute of Psychiatry, Psychology and Neuroscience, King’s College London, and a PhD in Neuropsychology from the University of Cambridge, her research focuses on remote measurement technology, mental health interventions, and neuropsychological outcomes in neurological conditions. As Clinical Lecturer at King’s College London, she leads on neuropsychology for the DClinPsy training course and provides comprehensive neuropsychological assessments. Simblett also co-founded The London Neurocognitive Clinic, offering assessments and neurorehabilitation for cognitive and mental health needs. 🌟

Profile

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Qualifications 🎓

Doctorate in Clinical Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London (Oct 2012 – Sept 2015): Led empirical research on neuropsychological outcomes following critical illness, focusing on PTSD symptoms and cognitive functioning. Published meta-analysis on technology for PTSD therapy and functional neurological conditions in hyper-acute stroke units. PhD in Neuropsychology, University of Cambridge (Oct 2009 – Feb 2013): Conducted a pilot RCT using technology for psychological therapy in long-term neurological conditions. Awarded studentship from NIHR ARC East of England. MSc in Neuropsychology (Distinction), University of Bristol (Oct 2007 – Sept 2008): Researched hippocampal activation during memory tests using fMRI techniques. BSc in Experimental Psychology (2:1), University of Bristol (Sept 2004 – July 2007): Conducted research on individual differences in cognitive flexibility and mental health.

Employment 💼

Clinical Lecturer in Neuropsychology, King’s College London (Dec 2021 – Present): Leading Neuropsychology for DClinPsy training. Conducting research and providing clinical services. Clinical Psychology Research Fellow, King’s College London (May 2016 – Nov 2021): Specialized in user experience of remote measurement technology. Supervised research and provided teaching. Clinical Director, The London Neurocognitive Clinic (April 2022 – Present): Overseeing clinical operations and providing neuropsychological assessments and rehabilitation. Clinical Psychologist, South London and Maudsley NHS Foundation Trust (Jan 2019 – Nov 2021): Led development of remote neuropsychological interventions for serious mental health problems.

Teaching 📚

Various teaching roles at King’s College London, including DclinPsy and BSc Psychology courses.

Awards/Grants 🏆

Received grants and awards for research, including public engagement and travel grants. This diverse background in academia, clinical practice, and industry equips me to make meaningful contributions to the field of neuropsychology and mental health care.

Publications Top Notes 📝

  1. Title: Barriers to and facilitators of engagement with remote measurement technology for managing health: systematic review and content analysis of findings
    • Journal: Journal of medical Internet research
    • Year: 2018
    • Volume: 20
    • Issue: 7
    • Pages: e10480
    • Citations: 220

 

  1. Title: Digital exclusion among mental health service users: qualitative investigation
    • Journal: Journal of medical Internet research
    • Year: 2019
    • Volume: 21
    • Issue: 1
    • Pages: e11696
    • Citations: 105

 

  1. Title: Barriers to and facilitators of engagement with mHealth technology for remote measurement and management of depression: qualitative analysis
    • Journal: JMIR mHealth and uHealth
    • Year: 2019
    • Volume: 7
    • Issue: 1
    • Pages: e11325
    • Citations: 86

 

  1. Title: Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study
    • Journal: BMC psychiatry
    • Year: 2022
    • Volume: 22
    • Issue: 1
    • Pages: 136
    • Citations: 47

 

  1. Title: Patient perspectives on the acceptability of mHealth technology for remote measurement and management of epilepsy: A qualitative analysis
    • Journal: Epilepsy & Behavior
    • Year: 2019
    • Volume: 97
    • Pages: 123-129
    • Citations: 47

 

  1. Title: Keeping well in a COVID-19 crisis: a qualitative study formulating the perspectives of mental health service users and carers
    • Journal: Journal of Mental Health
    • Year: 2021
    • Volume: 30
    • Issue: 2
    • Pages: 138-147
    • Citations: 34

 

 

  1. Title: Engaging across dimensions of diversity: A cross-national perspective on mHealth tools for managing relapsing remitting and progressive multiple sclerosis
    • Journal: Multiple Sclerosis and Related Disorders
    • Year: 2019
    • Volume: 32
    • Pages: 123-132
    • Citations: 32