Ameena Nazneen | Material Science | Best Researcher Award

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Ms. Ameena Nazneen | Material Science | Best Researcher Award

PHD at Xian Jiaotong University, China

Ameena Nazneen is a PhD student at the School of Nuclear Science and Technology, Xian Jiaotong University, China. Specializing in nuclear and material science, her research focuses on the structural, electrical, magnetic, and mechanical properties of ZrN using DFT and DC magnetron sputtering. Ameena holds an M.Phil in Physics and a Master’s in Science Education. She has eight years of research experience and has published multiple papers on nanomaterials and photocatalysis. Her expertise includes advanced experimental techniques such as SEM, TEM, and XRD. Ameena has also earned recognition and certificates for her academic achievements and contributions to material science research.

Professional Profiles

Education

2019-2024 PhD (Continuing): Institution: School of Nuclear Science and Technology, Xian Jiaotong University, China Courses: Comprehensive Chinese, The outline of China, Advance in severe accident analysis of nuclear reactors, Introduction to vacuum technology in accelerators, Fundamental of nuclear reactors fuels – A materials perspective, Theory of defects in materials. Research Title: Structural, electrical, magnetic, and mechanical properties of ZrN using DFT and DC magnetron sputtering. 2016-2018 M. Phil (Physics): Institution: The University of Lahore, Lahore Thesis Title: Hydrothermal synthesis and characterization of metal-doped dichalcogenides. Courses: Method of mathematical physics, advance computational physics 1, methods and techniques in experimental physics, advance medical physics, solar energy, laser physics, computational medical physics, and particle physics. CGPA: 3.85

Professional/Work Experience

2016-2019: Position: Lecturer of Physics Institution: P.R Axis College of Arts and Science (Girls Campus), Lahore 2013-2015: Position: Lecturer of Physics Institution: AL-Quraish Academy

Research Interests

Material science, Nanotechnology, Experimental techniques (e.g., SEM, TEM, XRD, RAMAN, PL, Photocatalyst, Nanoindentations, Four-Point Probes)

Research Focus

The research work of M.I. Khan primarily focuses on the synthesis and characterization of nanomaterials and their applications in optoelectronics and photocatalysis. His studies emphasize the structural, optical, and photovoltaic properties of doped perovskite solar cells, heterostructured thin films, and doped MoS2 nanoparticles. The research encompasses techniques such as chemical bath deposition and hydrothermal methods to prepare these materials. Key interests include investigating the effects of doping on the material properties to enhance their performance in applications like solar cells and photocatalysis, indicating a strong focus on materials science and nanotechnology with applications in energy conversion and environmental remediation.

Publications

  1. Effect of Ni doping on the structural, optical and photocatalytic activity of MoS2, prepared by Hydrothermal method, Publication date: 2020.
  2. Structural, morphological, optical, and photocatalytic properties of Ag-doped MoS2 nanoparticles, Publication date: 2020.
  3. Optimizing the structural, optical and photovoltaic properties of Mn-doped perovskite solar cells, Publication date: 2024.
  4. Structural, optical and electrical characterization of MoS 2 /TiO 2 heterostructured thin films by chemical bath deposition technique, Publication date: 2022.
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Amirali Farmani | High energy physics | Best Researcher Award

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Mr. Amirali Farmani | High energy physics | Best Researcher Award

PHD at Sahand University of Technology, Iran

Amirali Farmani is a Ph.D. candidate in Material Science at Sahand University of Technology, focusing on enhancing hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes. He holds a Bachelor of Engineering in Material Engineering with a specialization in Metallurgy from Bonab University and a Master of Science in Material Science from Sahand University. His research includes innovative approaches to corrosion protection, nanocrystalline nickel films, and electrochemical water splitting. Amirali has contributed significantly to his field with several publications in esteemed journals and has been involved in consultancy projects, including designing novel corrosion protection systems. High energy physics

Professional Profiles

Academic and Professional Background

From September 2013 to August 2017, Amirali Farmani pursued a Bachelor of Engineering in Material Engineering with a specialization in Metallurgy at Bonab University, East Azerbaijan. Continuing his academic journey, from September 2017 to June 2020, he completed a Master of Science in Material Science focusing on Corrosion and Material Protection at Sahand University of Technology, Tabriz, East Azerbaijan. Currently, he is a Ph.D. candidate in Material Science, also at Sahand University of Technology, where his research has focused on enhancing hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes through innovative approaches, as evidenced by several publications in esteemed journals.  High energy physics

Areas of Research

Functional Nanomaterials Energy Materials Corrosion and Surface Science. High energy physics

Research Focus

The researcher in question appears to focus on the fields of material science and electrochemistry, with a specific interest in the synthesis and characterization of electrode materials. Their work includes studying the enhancement of hydrogen and oxygen evolution reactions on nickel electrodes, exploring the effects of mesoporosity, magnetohydrodynamics, and high gradient magnetic forces. They also investigate the corrosion behavior and ion release of chromium-cobalt alloys, particularly under the influence of chemical passivation. Additionally, they have delved into the production of nanocrystalline nickel films using ultrasonic-assisted pulse electrodeposition, examining the competition between mass transport and nucleation in determining corrosion resistance. High energy physics

Publications

  1. Ultrasonic-assisted pulse electrodeposition process for producing nanocrystalline nickel films and their corrosion behavior: Competition between mass transport and nucleation, Publication date: 2024.
  2. Effect of chemical passivation on corrosion behavior and ion release of a commercial chromium-cobalt alloy, Publication date: 2020.
  3. Boosting hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes via simultaneous mesoporosity, magnetohydrodynamics and high gradient magnetic force, Publication date: 2020.
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Assaad Elouafi | Materials Physics | Best Researcher Award

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Dr. Assaad Elouafi | Materials Physics | Best Researcher Award

PHD at Hassan II University of Casablanca, Morocco

Assaad El Ouafi specializes in the elaboration and characterization of nanomaterials, including perovskites, iron oxides, pyrochlores, ferrites, hexaferrites, and phosphate-based oxides. His expertise extends to various synthesis methods such as sol-gel, ceramic route, co-precipitation, inverse sol-gel, and hydrothermal techniques. He is proficient in using a range of instruments including tensile, flexure, and compression tests, hardness tests, UV-Visible spectrometry, Mössbauer spectrometry, X-ray diffraction, SQUID, and vibrating-sample magnetometer (VSM).

Professional Profiles

Education

Faculty of Sciences Ain Chock, Hassan II University of Casablanca-Morocco Ph.D. in Materials Physics and Energetics (2016 – 2021) Master’s Degree in Renewable Energy and Energy Systems (2014 – 2016) Bachelor’s Degree in Physics Materials (2011 – 2014) Moulay Idriss 1st High School-Anfa, Casablanca Morocco High School Diploma in Life and Earth Sciences (2010 – 2011)

Experience

Anfous Center for Coaching and Personal Development, Casablanca-Morocco ENNEAGRAM WORKSHOP (Relational intelligence) (March 2023) Higher School of Technology Hassan II University of Casablanca, Morocco Substitute Teacher (2018-2023) Courses taught: Physics, mathematics, thermodynamics, heat treatment. Practical work: metrology, mechanical maintenance, fluid mechanics, heat exchangers, electricity, thermodynamics, materials, and heat treatment. Mentored Graduate and PhD Students (2021-2023) Provided guidance for research projects.

Skills

Nanomaterials synthesis and characterization Various methods: sol-gel, ceramic route, co-precipitation, inverse sol-gel, hydrothermal Proficient with instruments: tensile, flexure and compression tests, hardness tests, UV-Visible spectrometry, Mössbauer spectrometry, X-ray diffraction, SQUID, VSM

Research Focus

Assaad El Ouafi’s research predominantly focuses on the synthesis and characterization of nanomaterials, especially their structural, magnetic, and optical properties. His studies include detailed morphological and structural analyses of materials such as treated sisal fibers, hematite, γ-Fe₂O₃ nanoparticles, amorphous alloys, and various perovskites and pyrochlores. Key areas of interest are the magnetocaloric effects for magnetic refrigeration applications and the enhancement of materials’ optical properties for optoelectronic applications. His work employs advanced techniques like Mössbauer spectrometry, X-ray diffraction, and various forms of magnetometry.

Publications

  1. Electric field mapping by Pockels effect and I (V) characteristic of CdTe nuclear detectors by different Pt contact deposition, Publication date: 2024.
  2. Magneto-transport and optical properties of La0.7K0.3Mn(1−x)GaxO3 (0 ≤ x ≤ 0.25) ceramics, Publication date: 2024.
  3. Optical properties investigation of Sr2CaFe2WO9 triple perovskite for optoelectronic applications, Publication date: 2023.
  4. Structural, Magnetic, and Magnetocaloric Studies of the Potassium Diphosphate KCrP2O7, Publication date: 2023.
  5. Excellent magnetocaloric effect at cryogenic temperature in amorphous (Fe35RE65)(RE= Er, Dy and Gd) alloys, Publication date: 2023.
  6. Near room temperature magnetocaloric effect of Cr1− xRuxO2 (x= 0.000, 0.125, and 0.250) for magnetic refrigeration, Publication date: 2023.
  7. Effect of cerium doping in tuning the optical and photoluminescence properties of TiO2 nanoparticles, Publication date: 2023.
  8. Structural, magnetic and magnetocaloric effect of pyrochlore iridate Er2Ir2O7, Publication date: 2023.
  9. Large magnetocaloric effect and magnetic properties of EuRhO3, Publication date: 2023.
  10. Effect of sisal fibre treatment on the hydration and thermophysical properties of a cement biocomposite, Publication date: 2023.
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Akira Aikawa | Railway Track Dynamic | Best Researcher Award

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Dr. Akira Aikawa | Railway Track Dynamic | Best Researcher Award

PHD at Kyushu University, Japan

Dr. Akira Aikawa, based in Tokyo, Japan, is a distinguished researcher specializing in Railway Track Dynamics and Granular Mechanics. He earned his PhD from Kyushu University, where he later served as an Assistant Professor. Dr. Aikawa continued his academic career as an Associate Professor at the Institute of National Colleges of Technology before joining the Railway Technical Research Institute (RTRI) in 2006. He has contributed significantly to the field through his work on the natural vibration characteristics and settlement behavior of railway ballasted tracks. Dr. Aikawa is also a Fellow Member of the Japan Society of Civil Engineers and has served as a Road Disaster Prevention Doctor for the Ministry of Land, Infrastructure, Transport, and Tourism.

Professional Profiles

Education

PhD: Kyushu University, Japan Special field of study: Railway Track Dynamics, Granular Mechanics, In-situ Measurement.

Current Employer

Railway Technical Research Institute (RTRI), JAPAN. 1987-1993: Assistant Professor, Faculty of Engineering, Kyushu University, Japan 1993-2006: Associate Professor, Institute of National Colleges of Technology, Japan 2006-2024: Present Position (RTRI)

Research Focus

Dr. Akira Aikawa’s research focuses on the dynamic behavior of railway tracks and vehicle-track interactions, particularly in response to defects and settlement. His work explores the impact of short rail defects over long-wavelength track settlement, dynamic rolling contact, and the effectiveness of rail pads and fastenings. Utilizing advanced modeling techniques such as discrete element modeling coupled with finite element methods, he investigates the mechanics of ballasted railway tracks under various conditions. His contributions aim to enhance the design and performance-based testing criteria for railway track components, addressing issues like vibration attenuation and dynamic settlement at transition zones, ensuring safer and more efficient railway operations.

Publications

  1. Research on Vertical Natural Vibration Characteristics of Gravel Aggregate in Ballasted Track, Publication date: 2015.
  2. Dynamic characterisation of a ballast layer subject to traffic impact loads using three-dimensional sensing stones and a special sensing sleeper, Publication date: 2015.
  3. Effectiveness of Soft Baseplates and Fastenings to Mitigate Track Dynamic Settlement at Transition Zones on Railway Bridge Approaches, Publication date: 2016.
  4. Vibration Attenuation at Rail Joints through under Sleeper Pads☆, Publication date: 2017.
  5. Development of Viscoelastic Multi-Body Simulation and Impact Response Analysis of a Ballasted Railway Track under Cyclic Loading, Publication date: 2017.
  6. Sensitivity of rail pads on dynamic responses of spot replacement sleepers interspersed in ballasted railway tracks, Publication date: 2018.
  7. Finite element analysis of the wheel–rail impact behavior induced by a wheel flat for high-speed trains: The influence of strain rate, Publication date: 2017.
  8. Novel discrete element modeling coupled with finite element method for investigating ballasted railway track dynamics, Publication date: 2018.
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Monika Nagy-Huber | Machine learning | Best Researcher Award

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Ms. Monika Nagy-Huber | Machine learning | Best Researcher Award

PHD at the University of Basel, Switzerland

Monika Timea Nagy-Huber, a Swiss national, is a PhD candidate in Computer Science at the University of Basel, specializing in Physics-informed Machine Learning Algorithms under the guidance of Prof. Dr. Volker Roth. She is part of the Biomedical Data Analysis research group. Monika holds a Master of Science in Mathematics from the University of Basel, where she focused on Numerics and Algebra-Geometry-Number Theory. Her master’s thesis explored the Local Discontinuous Galerkin Method for solving the Wave Equation. She also earned her Bachelor of Science in Mathematics from the University of Basel. Monika is passionate about integrating advanced mathematical techniques with cutting-edge computer science applications.

Professional Profiles

Education

09/2019 – Present: PhD in Computer Science, University of Basel ‣ Supervisor: Prof. Dr. Volker Roth ‣ Research group: Biomedical Data Analysis ‣ Specialisation: Physics-informed Machine Learning Algorithms 02/2016 – 02/2019: Master of Science in Mathematics, University of Basel ‣ Areas of specialisation: Numerics (Partial Differential Equations for Wave Equations), Algebra-Geometry-Number Theory (Elliptic Curves) ‣ Master’s thesis: “Das lokale diskontinuierliche Galerkin-Verfahren mit lokalem Zeitschrittverfahren zur Lösung der Wellengleichung” (translated: The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation), Grade 5.5 ‣ Supervisor: Prof. Dr. Marcus J. Grote 09/2011 – 02/2016: Bachelor of Science in Mathematics, University of Basel

Research Focus

Monika Timea Nagy-Huber’s research primarily focuses on the intersection of advanced computational methods and biomedical applications. Her work involves developing and applying physics-informed machine learning algorithms to solve complex problems, such as partial differential equations, relevant to biomedical data analysis. She has contributed to various projects, including studying the effects of LSD on brain connectivity, learning invariances with input-convex neural networks, and creating mesh-free Eulerian physics-informed neural networks. Her interdisciplinary approach leverages deep learning and computational science to address challenges in neuroscience, exercise science, and environmental monitoring, demonstrating a robust expertise in integrating theoretical mathematics with practical applications.

Publications

  1. Physics-informed boundary integral networks (PIBI-Nets): A data-driven approach for solving partial differential equations, Publication date: 2024.
  2. Using Machine Learning–Based Algorithms to Identify and Quantify Exercise Limitations in Clinical Practice: Are We There Yet?, Publication date: 2023.
  3. The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity, Publication date: 2023.
  4. Learning invariances with generalised input-convex neural networks, Publication date: 2022.
  5. Mesh-free eulerian physics-informed neural networks, Publication date: 2022.
  6. Mesh-free Eulerian Physics-Informed Neural Networks, Publication date: 2022.
  7. Visual Understanding in Semantic Segmentation of Soil Erosion Sites in Swiss Alpine Grasslands, Publication date: 2022.
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Minseok Ryu | Power Systems Computation | Best Researcher Award

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Assist Prof Dr. Minseok Ryu | Power Systems Computation | Best Researcher Award

PHD at the University of Michigan, United States

Minseok Ryu is an Assistant Professor at Arizona State University’s School of Computing and Augmented Intelligence. He earned his Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2020. Prior to his current role, he held a postdoctoral position at Argonne National Laboratory and conducted research at Los Alamos National Laboratory. Ryu’s expertise spans privacy-preserving federated learning, optimization, and power system resilience. He has secured significant funding, including from DOE-ASCR and NSF, and developed the open-source APPFL package for federated learning. Ryu is actively involved in professional societies like INFORMS and IEEE, contributing to conferences and serving as a panelist for NSF reviews.

Professional Profiles

Education

Ph.D. Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI; May 2020 M.S. Aerospace Engineering, KAIST, Daejeon, Korea; Feb 2014 B.S. Aerospace Engineering, KAIST, Daejeon, Korea; Feb 2012

Work Experience

Assistant Professor, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ Aug 2023–present Postdoctoral Appointee, Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL Aug 2020–Jul 2023 Research Assistant, Applied Mathematics and Plasma Physics Group, Los Alamos National Laboratory, Los Alamos, NM May 2019–Aug 2019 Post Baccalaureate Research Fellow, Kellog School of Management, Northwestern University, Evanston, IL Nov 2014–Apr 201

Honors & Awards

2024 Alliance Fellow, Mayo Clinic and ASU Alliance for Health Care 2023 Highlighted Research, Department of Energy, Advanced Scientific Computing Research (DOE-ASCR) 2022 Highlighted Research, DOE-ASCR

Professional Activities

Membership in Professional Societies: INFORMS, IEEE, IISE, SIAM Proposal Review: Panelist for National Science Foundation (NSF) Journal/Conference Review: Numerous journals and conferences including IEEE Transactions on Power Systems, Management Science, and others.

Research Focus

Minseok Ryu’s research primarily focuses on advanced optimization techniques and privacy-preserving federated learning systems. His work spans several key areas including privacy-preserving distributed control in power systems, data-driven distributionally robust optimization for scheduling, and mitigating uncertain disturbances in electric grids. Ryu has also contributed significantly to the development of algorithms for differentially private federated learning, enhancing security and robustness in biomedical research and heterogeneous computing environments. His expertise extends to heuristic algorithms for geomagnetically induced current blocking devices, showcasing a deep commitment to advancing resilient infrastructure and secure data handling in complex operational environments.

Publications

  1. A GPU-based Distributed Algorithm for Linearized Optimal Power Flow in Distribution Systems, Publication date: 2023.
  2. Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx (preprint), Publication date: 2023.
  3. Efficient Heuristic Approaches to Binary Optimization: a Sensor Placement Application, Publication date: 2023.
  4. APPFLX: Providing privacy-preserving cross-silo federated learning as a service, Publication date: 2023.
  5. Heuristic Algorithms for Placing Geomagnetically Induced Current Blocking Devices, Publication date: 2023.
  6. Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx, Publication date: 2022.
  7. APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning, Publication date: 2022.
  8. A Privacy-Preserving Distributed Control of Optimal Power Flow, Publication date: 2022.
  9. Differentially private federated learning via inexact ADMM with multiple local updates, Publication date: 2022.
  10. Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach,  Publication date: 2022.
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Amal Balila | Bio-based materials | Best Researcher Award

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Dr. Amal Balila | Bio-based materials | Best Researcher Award

PHD at University Putra Malaysia, Malaysia

Dr. Amal Mohammed Hassan Balila is an experienced architect and academic with a Ph.D. in Construction Management and Engineering from the University of Reading. Her research focuses on enhancing the strength and durability of adobe bricks using bio-inspired stabilizers. She also holds an MSc in Sustainable Building Technology from the University of Nottingham. Dr. Balila has over ten years of expertise in architectural design, sustainable building technologies, and Building Information Modelling (BIM). She is committed to advancing sustainable construction practices and has a broad network of collaborations with various institutions and experts worldwide. Currently, she is a Senior Architect at Samer Engineering Consultancy Group in Oman.

Professional Profiles

Education

PhD. in Construction Management and Engineering Institution: University of Reading, United Kingdom Thesis Title: “Enhancing Strength and Durability of Adobe Bricks by Introducing Bio-inspired Stabilisers” Years Attended: 2012 – 2017 MSc. in Sustainable Building Technology (with Merit) Institution: University of Nottingham, United Kingdom Dissertation Title: “Impact of Curved Building Plans on Building Energy Performance in Different Climates in Comparison to Straight Plans Using Ecotect Software” Years Attended: 2008 – 2009 BSc. in Architecture (Honours 1st class) Institution: University of Khartoum, Sudan Thesis Title: “Khartoum Natural History Museum” Years Attended: 2000 – 2005

Work Experience

Senior Architect/BIM Advocator Company: Samer Engineering Consultancy Group, Muscat, Sultanate of Oman Key Responsibilities: Conducting client meetings to understand needs and present design concepts. Promoting BIM in Oman’s AEC industry through workshops, presentations, and training sessions. Mentoring junior staff on BIM software and workflows. Managing design processes and overseeing project construction. Reviewing technical shop drawings and developing project timelines and budgets. Achievements: Designed numerous architectural projects including private villas, schools, and residential-commercial buildings. Conducted multiple BIM workshops and provided training on Autodesk Revit, Graphisoft ArchiCAD, and Autodesk Navisworks. Lecturer Institution: University of Technology & Applied Science, Salalah, Sultanate of Oman Key Responsibilities: Teaching History of Architecture and other architectural courses. Coordinating and supervising architectural studio and thesis projects. Developing and updating the architecture curriculum. Achievements: Developed a benchmark for curriculum comparison aiding in the accreditation process. Created course material for the bachelor-level History of Architecture course. Assistant Professor Institution: University of Khartoum, Sudan Key Responsibilities: Coordinating projects and supervising students. Teaching various construction and architecture courses. Conducting BIM training programs and workshops.

Awards

Institute of Materials, Minerals and Mining Award for excellence in presentation (2016). Best poster certificate at the Annual Doctoral Research Conference, University of Reading (2013). Multiple awards for academic performance from the University of Khartoum and Sudanese architectural societies.

Research Focus

Amal Mohammed Hassan Balila’s research primarily focuses on sustainable construction practices, with a specific emphasis on enhancing the strength, durability, and structural stability of adobe bricks using bio-inspired stabilizers. Her work addresses the practical application of innovative building materials and technologies in housing, particularly in the outskirts of Khartoum, Sudan. Through her research, she evaluates the thermal performance and sustainability aspects of various building materials, aiming to improve housing standards and construction techniques suitable for local environments. Amal’s contributions extend to advancing appropriate technology solutions tailored to Sudan’s housing needs, integrating principles of sustainability and architectural innovation.

Publications

  1. Sustainable bio-inspired stabilisers to enhance the strength, durability and structural stability of adobe bricks used for the construction of houses in the outskirts of Khartoum, Publication date: 2016.
  2. Enhancing strength and durability of adobe bricks by introducing bio-inspired stabilisers, Publication date: 2017.
  3. Appropriate technology for housing in Sudan: evaluation of selected innovative building materials and technologies, Publication date: 2010.
  4. Comparative analysis on the thermal performance of selected building materials and technologies for housing in the sudan, Publication date: 2016.
  5. Young Researchers’ Forum III 2016 Innovation in Construction Materials. Publication date: 2016.
  6. Wall materials and techniques available for low cost housing in Khartoum from a sustainability point of view, Publication date: 2013.
  7. Sustainable Architecture and Urban Development
  8. Technology Transfer in Building Technology for Housing: Answering a Felt Need
  9. Appropriate Technology for Housing in Sudan: Evaluation of Innovative Building Materials and Construction Techniques
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Saad Shauket Sammen | Machine Learning | Best Researcher Award

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Assist Prof Dr. Saad Shauket Sammen | Machine Learning | Best Researcher Award

PHD at University Putra Malaysia, Malaysia

Dr. Saad Shauket Sammen, an Assistant Professor at the Department of Civil Engineering, University Putra Malaysia, specializes in water resources engineering. Born in Diyala, Iraq, in 1978, he holds a Ph.D. from University Putra Malaysia and a Master’s from the University of Technology, Iraq. His research interests include water resources management, hydraulic and hydrology modeling, groundwater modeling, and climate change. Dr. Sammen has extensive teaching experience and has supervised several postgraduate students. He has also served as a consultant on numerous hydrological and construction projects in Iraq and Malaysia, contributing significantly to the field of water resources engineering. Machine Learning

Professional Profiles

Education

Ph.D. in Water Resources Engineering Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Malaysia (2017) Master of Water Resources Engineering Department of Building and Construction, University of Technology, Iraq (2009) Bachelor of Civil Engineering Department of Civil Engineering, College of Engineering, University of Anbar, Iraq (2001) Machine Learning

Work Experience

Assistant Professor Department of Civil Engineering, University Putra Malaysia (2021-present) Lecturer Civil Engineering Department, University of Diyala (2017-2021) Ph.D. Student Department of Civil Engineering, University Putra Malaysia (2014-2017) Lecturer Civil Engineering Department, University of Diyala (2011-2013) Assistant Lecturer Civil Engineering Department, University of Diyala (2009-2011) Civil Engineer Ministry of Higher Education and Scientific Research, Iraq (2006-2009) Civil Engineer Ministry of Water Resources, Iraq (2004-2006)

Teaching Experience

Lecturer Civil Engineering Department, University of Diyala, teaching: Fluid Mechanics for 2nd-year undergraduates Mathematics for 2nd-year undergraduates Hydraulic Structures for 3rd-year undergraduates Irrigation and Drainage Engineering for 4th-year undergraduates Machine Learning

Research Area Interest

Water Resources Management Hydraulic Modeling Hydrology Modeling Ground Water Modeling Climate Change Water Quality Modeling GIS and RS in Water Resources Application of Artificial Intelligence and Optimization Algorithms in Water Resources Engineering

Research Focus

Dr. Saad Shauket Sammen is an expert in water resources engineering, focusing on rainfall-runoff modeling, water quality assessment, and drought prediction using advanced machine learning techniques. His research, widely published in high-impact journals, explores the application of evolutionary algorithms like Harris Hawks Optimizer and Particle Swarm Optimization for hydrological modeling. Dr. Sammen has made significant contributions to understanding and predicting water-related phenomena, utilizing hybrid machine learning models to improve the accuracy and efficiency of environmental and hydrological predictions. His work is instrumental in developing sustainable water management practices, particularly in the face of climate change and increasing water scarcity. Machine Learning

Publications

  1. Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India, Publication date: 2024.
  2. Predictive modelling of nitrogen dioxide using soft computing techniques in the Agra, Uttar Pradesh, India,  Publication date: 2024.
  3. Toward Decontamination in Coastal Regions: Groundwater Quality, Fluoride, Nitrate, and Human Health Risk Assessments within Multi-Aquifer Al-Hassa, Saudi Arabia, Publication date: 2024.
  4. Developing an ensembled machine learning model for predicting water quality index in Johor River Basin, Publication date: 2024.
  5. Isotherms, kinetics and thermodynamic mechanism of methylene blue dye adsorption on synthesized activated carbon, Publication date: 2024.
  6. Three novel cost-sensitive machine learning models for urban growth modelling, Publication date: 2024.
  7. Strength assessment of structural masonry walls: analysis based on machine learning approaches, Publication date: 2024.
  8. Prediction of daily leaf wetness duration using multi-step machine learning, Publication date: 2024.
  9. New strategy based on Hammerstein–Wiener and supervised machine learning for identification of treated wastewater salinization in Al-Hassa region, Saudi Arabia, Publication date: 2024.
  10. Comparison Analysis of Seepage Through Homogenous Embankment Dams Using Physical, Mathematical and Numerical Models,  Publication date: 2024.
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Soumya Jyoti Ray | Nanoelectronics | Best Researcher Award

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Assoc Prof Dr. Soumya Jyoti Ray | Nanoelectronics | Best Researcher Award

PHD at University of St. Andrews, UK

Dr. Soumya Jyoti Ray is an Assistant Professor in the Department of Physics at IIT Patna, specializing in experimental and computational physics. With postdoctoral experiences at the Technical University of Darmstadt, Germany, and CEA Grenoble, France, he has supervised numerous PhD, Master’s, and internship projects. Dr. Ray’s research, funded by prestigious grants including DST-INSPIRE and DST-SERB, has led to over 85 peer-reviewed publications and several book chapters. Recognized by Stanford University among the top 2% scientists globally, he is a Senior Member of IEEE and actively contributes to academic and scientific communities as an editor, reviewer, and conference organizer. Nanoelectronics

Professional Profiles

Education

PhD (University of St. Andrews, UK, 2012) JRF (IISc Bangalore, 2007) MSc (IIT Kanpur, 2006) BSc Physics Honours (RKM Vidyamandira, Belur Math, University of Calcutta, 2004) Oxford School on Neutron Scattering, University of Oxford, UK (2009) Summer School on Condensed Matter Research, ETH Zurich, Switzerland (2008)

Work Experience

Assistant Professor, Physics, IIT Patna (2016-present) Postdoc at Technical University of Darmstadt, Germany (2014-16) Postdoc at Institute of Nanoscience and Cryogenics, CEA Grenoble, France (2012-14) Teaching Assistant at University of St. Andrews, UK (2007-11) Student Supervision PhD: 5 completed, 6 ongoing Master’s thesis: 12 completed, 1 ongoing Interns: 10 completed, 1 ongoing During postdoc period: 4 Master’s students. Nanoelectronics

Awards and Honours

DST-INSPIRE Faculty Award (direct mode), 2016 DST Early Career Research Award, 2018 Senior Member – IEEE, 2022 Fellow of Scholars Academy and Scientific Society (FSASS), 2023 Top 2% scientists by Stanford University, USA (2021, 2022) Research Excellence Award by Institute of Scholars (2021) Outstanding Researcher Award by International Society for Scientific Networks (2021) Research Excellence Grant (REG) award (2012-2014) under the European Metrology Research Program Awarded postdoctoral fellowships at TU Darmstadt, Germany, University of Southampton, St. Andrews, UK. Nanoelectronics

Research Focus

Dr. Soumya Jyoti Ray’s research primarily focuses on the development and application of advanced materials for electronic and quantum devices. His work encompasses first-principles studies of 2D materials such as MoS2, phosphorene, and graphene for single-electron transistors in gas sensing applications. He has made significant contributions to understanding valence bond glass states, van der Waals spinterfaces, and high energy density supercapacitors. His research also includes the investigation of superconductivity, magnetic phase control, and resistive switching behaviors in various nanocomposite systems. Dr. Ray’s interdisciplinary approach integrates experimental techniques and theoretical modeling to innovate in material science and condensed matter physics. Nanoelectronics

Publications

  1. Machine learning of performance space mapping for the DPD simulation of drug delivery to endothelial cells, Publication date: 2024.
  2. Two-Dimensional van der Waals Materials and Heterostructures for Spin-Orbit Torque Applications, Publication date: 2024.
  3. Zn (II)-metal ion directed self-healing Wide Bandgap Semiconducting Supramolecular metallohydrogel: Effective non-volatile memory design for in-memory computing, Publication date: 2024.
  4. Development of a novel self-healing Zn (II)-metallohydrogel with wide bandgap semiconducting properties for non-volatile memory device application, Publication date: 2024.
  5. Ultralow lattice thermal conductivity and thermoelectric performance of twisted Graphene/Boron Nitride heterostructure through strain engineering, Publication date: 2024.
  6. An all phosphorene lattice nanometric spin valve, Publication date: 2024.
  7. Excellent Supercapacitive Response of Microwave-synthesized Two-Dimensional Transitional Metal Oxide Using Metal Chloride Precursor, Publication date: 2024.
  8. Edible biomaterial based memristive devices for non-volatile memory design, Publication date: 2024.
  9. Twist controlled Spin-transport across Phosphorene/Nickel (111) Spinterfaces, Publication date: 2024.
  10. A First-Principles Investigation of VClBr2: A Novel van der Waals Ferromagnetic Semiconductor,  Publication date: 2024.
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Sharda Pandey | Materials’ application | Best Researcher Award

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Ms. Sharda Pandey | Materials’ application | Best Researcher Award

PHD at the University of Lucknow, India

Sharda Pandey holds an M.Sc. in Physics and is currently pursuing a Ph.D. at the University of Lucknow, specializing in Experimental Physics within the Laser, Opto-Electronics & Photonics Laboratory under Prof. Anchal Srivastava. With a background in teaching and practical experience in electronics labs, she aims to apply her skills in advancing research and education. Sharda has achieved notable distinctions, including qualifying in NET and GATE-2022 in Physics. Recognized for her research, she received the Best Poster Presentation Award at ICAIR-2021 and the prestigious Shodh-medha Scholarship from the University of Lucknow, highlighting her dedication to academic and scientific pursuits. Materials’ application

Professional Profiles

Education

M.Sc. (Physics) from University of Lucknow, 2013 (67.14%) B.Sc. (PCM) from Dr. R.M.L. Avadh University, Ayodhya, 2011 (70.83%) Intermediate from U.P. Board, Govt. Girls Inter College, Gonda, 2008 (63.4%) High School from U.P. Board, S.P.K.P. Inter College, Gonda, 2006 (67.0%) Qualified NET (Physics) and GATE-2022 (Physics).

Work Experience

Pursuing Ph.D. in Physics at the University of Lucknow, focusing on Experimental Research in the Laser, Opto-Electronics & Photonics Laboratory under the guidance of Prof. Anchal Srivastava. Worked in the Department of Physics under the ‘Karma-yogi Scheme’ for 50 days with pay, receiving a certificate of work experience. Former faculty member at Career Convent Girls Degree College, Vikas Nagar, Lucknow. Practical Teacher for B.Sc. Electronics lab at the University of Lucknow for the session 2016-17.

Awards Received

Best Poster Presentation (Oral) Award for “Treatment of Water using Metal Oxide in Nanoform” at the International Conference on Advancements in Interdisciplinary Research (ICAIR-2021). Shodh-medha Scholarship from the University of Lucknow

Research Focus

Sharda Pandey’s research primarily focuses on the simulation and evaluation of perovskite solar cells, particularly investigating the utilization of various electron transport layers. Her contributions extend to studying the efficiency enhancement of perovskite thin-film solar cells through modeling techniques involving double-absorber and buffer layers. She collaborates with researchers like R.K. Shukla, A. Srivastava, and S. Rani, contributing to articles and conference papers in journals like Nanosystems, Journal of Optics, and Integrated Ferroelectrics. Sharda’s work aims to advance the understanding and practical application of perovskite materials in solar energy technologies, emphasizing efficiency and performance enhancements. Materials’ application

Publications

  1. Simulation and evaluation of perovskite solar cells utilizing various electron transport layers,Publication date: 2024.
  2. Modeling for Efficiency Enhancement of Perovskite Thin-Film Solar Cell by Using Double-Absorber and Buffer Layers, Publication date: 2024.
  3. Simulation study of solar cell with a double absorber layers of perovskites material using lead and lead-free material, Publication date: 2024.
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