Sadaf Haiyat | Cancer Diagnosis | Best Researcher Award

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Assist Prof Dr. Sadaf Haiyat , Cancer Diagnosis, Best Researcher Award

Assistant Professor at Mahamana Pandit Madan Mohan Malviya Cancer Centre /Tata Memorial Hospital Varanasi, India

Summary:

Dr. Sadaf Haiyat is a distinguished pathologist with extensive expertise in hematology, clinical pathology, and molecular pathology. With an MD in Pathology from Aligarh Muslim University, Dr. Haiyat has over seven years of experience in various pathology disciplines, including significant post-MD roles. Notably, Dr. Haiyat has contributed to the field through independent research on Syndecan-1 as a diagnostic biomarker, which has been published as a book. Currently serving as a Consultant Pathologist and Assistant Professor at Tata Memorial Cancer Centre/MPMMCC in Varanasi, Dr. Haiyat is recognized for excellence in pathology practice, quality control, and medical education. Dr. Haiyat has received multiple awards, including the “Young Clinician in Pathology Award” and accolades for research presentations and diagnostic challenges.

Professional Profile:

👩‍🎓Education:

  • MD (Pathology): 2016, Aligarh Muslim University (AMU), Aggregate – 66%
  • MBBS: 2011, Aligarh Muslim University (AMU), Aggregate – 60%

Professional Experience:

Dr. Sadaf Haiyat has a total of 7 years of professional experience in pathology, including 4.5 years post-MD. During her tenure as a Junior Resident at J.N.M.C.H, A.M.U, Aligarh from June 2013 to June 2016, she gained extensive experience teaching undergraduate MBBS and BDS students, conducting practical classes, and participating actively in postgraduate seminars and journal clubs. Her work encompassed a broad range of pathology disciplines, including hematology, leukemia and cytochemistry reporting, peripheral smears, bone marrow aspiration and biopsy reporting, coagulation studies, anemia profile, clinical pathology, chemical pathology, immunology, serology, blood bank, and histopathology.

From April 2017 to April 2020, Dr. Haiyat served as a Senior Resident / Demonstrator at the same institution, where she further honed her skills in hematology, hemato-oncopathology, chemical pathology, clinical pathology, blood bank/transfusion medicine, histopathology, and cytopathology, with additional expertise in frozen sections and immunofluorescence.

As a Laboratory Head and Consultant Pathologist at Popular Multispeciality Hospital, Varanasi, U.P. from August 2020 to May 2021, Dr. Haiyat supervised and approved reports in hematology, biochemistry, clinical pathology, body fluids, and immunology, ensuring strict adherence to quality control measures and ISO 150189:2012 guidelines. She also participated in the administration and management of the laboratory, including the training of technicians and staff.

In her subsequent role as a Consultant Pathologist at Dr. Lal Path NRL, Reference Lab, New Delhi from August 2021 to February 2021, Dr. Haiyat independently reported on various pathology disciplines including hematology, peripheral smears, bone marrow aspiration, biopsies, clinical pathology, cytopathology, histopathology, and oncopathology.

Currently, Dr. Haiyat serves as a Consultant Pathologist and Assistant Professor at Tata Memorial Cancer Centre/MPMMCC, Varanasi, Uttar Pradesh, where she has started a Molecular Pathology Lab. Her responsibilities include independently reporting on histopathology, oncopathology, hematology, hemato-oncology, peripheral smears, cytochemistry, bone marrow aspiration, biopsies, immunophenotyping interpretation, and coagulation testing. Additionally, she supervises audits for NABL Pathology, participates in EQAS of CAP and NABL, and is involved in multidisciplinary meetings, training of residents and technical staff, teaching, research, and administrative work.

Research Interest:

  • Hematology and Hemato-Oncopathology
  • Diagnostic Biomarkers
  • Clinical and Chemical Pathology
  • Cytopathology and Histopathology
  • Molecular Pathology
  • Blood Bank and Transfusion Medicine
  • Quality Control in Pathology Laboratories

Awards:

“Young Clinician in Pathology Award” at the 2nd Annual Medical Summit and Venus International Medical Awards, Park Hyatt, Chennai, 6th April 2019.

World Championship 2018 in Hematology for the research article titled “A challenging case of Hemophilia A with first presentation at the age of 16 as monoarticular hemophiliac arthropathy: A diagnostic enigma” by the Journal for Hematology.

1st Prize in Oral Paper Presentation on “A Cytological and Histomorphological Case Study Of an Unusual Occurrence of Gonadoblastoma with Seminoma and Yolk Sac Tumor In An Anatomically Normal Male Child” at UP CYTOCON 2015, 3rd Annual Conference Of Indian Academy Of Cytopathologists, 13th September 2015.

Best Poster Award entitled “Cryptococcal Meningitis Presenting As Multiple Fractures in an Immunocompetent Individual-An Unusual Presentation” at NEUROCON 2015, XXI Annual Conference of Neuroscience Society (UP & UK), J.N.M.C, A.M.U., Aligarh, 14th February 2015.

3rd Prize in Poster Presentation on “Primary Lymphoma of Bone: An Oncological Paradox” at the International Symposium on Oncologic Pathology, Department of Pathology, J.N.M.C, A.M.U., Aligarh, 25th January 2018.

Xiaoming Li | Systems Engineering | Best Researcher Award

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Dr. Xiaoming Li, Systems Engineering, Best Researcher Award

Doctorate at Concordia University, Canada

Summary:

Dr. Xiaoming Li is an accomplished researcher and educator with extensive experience in artificial intelligence, machine learning, and optimization models for shared mobility and smart logistics. With a Ph.D. in Information and Systems Engineering from Concordia University, his work focuses on integrating data-driven approaches to optimize urban transportation systems and enhance sustainability. He has a strong background in software engineering and has contributed significantly to both academic research and industry projects. Dr. Li has received several awards, including the IEEE Outstanding Leadership Award and the Mitacs Accelerate Program Award. As a dedicated educator, he has taught and mentored students across various institutions, shaping the next generation of computer scientists.

Professional Profile:

👩‍🎓Education:

Ph.D. in Information and Systems Engineering

  • Concordia University, Montréal, QC, Canada
  • Cumulative GPA: 4.0 / 4.3

M.Sc. in Computer Software and Theory

  • Northeastern University, China
  • Cumulative GPA: top 16.7%

B.Sc. in Computer Science and Technology

  • Shenyang Aerospace University, China

Professional Experience:

Dr. Xiaoming Li currently serves as a Research Associate at Concordia University, Montréal, where he supervises interdisciplinary research in artificial intelligence and operations research for shared mobility-on-demand applications. His role involves designing deep learning models for time-series demand forecasts, developing data-driven stochastic optimization models for renewable energy mobility management, and creating an integrated optimization framework for sustainable crowd-shipping services. Previously, Dr. Li held a Research Assistant position at Concordia, working on data analysis and machine learning model development for various projects, including forecasting commodity rates and predicting hotel booking cancellations.

Dr. Li’s industrial experience includes internships at Ericsson’s Global Artificial Intelligence Accelerator, where he developed an energy-saving framework for 5G base stations, and Medialpha, where he optimized nurse routing and medical resource allocation using meta-heuristic algorithms. Additionally, he has substantial experience as a Software Engineer at Shenyang Aerospace University, leading projects and managing teams.

In academia, Dr. Li has served as an Adjunct Faculty at Vanier College, teaching database theory and application development, and as a Full-Time Lecturer at Shenyang Aerospace University, instructing on a variety of computer science courses and supervising numerous student projects.

Research Interest:

  • Machine Learning
  • Operations Research
  • Data Science
  • Data-Driven Optimization
  • Agent-Based Simulation Modeling
  • Shared Mobility
  • Smart Logistics
  • Sustainable Intelligent Transportation Systems

Publications Top Noted: 

GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems

  • N. Lin, Y. Fan, L. Zhao, X. Li, M. Guizani
  • IEEE Transactions on Mobile Computing, 14, 2022.

BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems

  • J. Gao, X. Li, C. Wang, X. Huang
  • IEEE Transactions on Intelligent Transportation Systems, 23(8), 11666-11676, 2021.

Driver Guidance and Rebalancing in Ride-Hailing Systems Through Mixture Density Networks and Stochastic Programming

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • 2021 IEEE International Smart Cities Conference (ISC2), 1-7, 2021.

Learning-Based Open Driver Guidance and Rebalancing for Reducing Riders’ Wait Time in Ride-Hailing Platforms

  • J. Gao, X. Li, C. Wang, X. Huang
  • 2020 IEEE International Smart Cities Conference (ISC2), 1-7, 2020.

Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization

  • X. Li, J. Gao, C. Wang, X. Huang, Y. Nie
  • IEEE Access, 10, 116931-116941, 2022.

Christian Mathew | Engineering Mechanics | Best Researcher Award

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Dr. Christian Mathew, Engineering Mechanics, Best Researcher Award

Doctorate at Virginia Polytechnic Institute and State University, United States

Summary:

Dr. Christian Mathew is an accomplished researcher and academic in the field of engineering mechanics. With extensive experience in both theoretical and applied research, Dr. Mathew has contributed significantly to the understanding of solid mechanics, composite materials, and innovative manufacturing processes. He is currently an Affiliate Faculty in the Department of Aerospace and Ocean Engineering at Virginia Tech and actively engages in cutting-edge research, teaching, and professional service.

Professional Profile:

👩‍🎓Education:

PhD (in view), Engineering Science and Mechanics (2021-current), Virginia Tech, Blacksburg, Virginia, US

  • Advisor: Dr. Yao Fu, Co-advisor: Dr. Jie Song

M.S. Engineering Science and Mechanics (2023), Virginia Tech, Blacksburg, Virginia, US

  • Advisor: Dr. Yao Fu, Co-advisor: Dr. Jie Song

M.S. Advanced Computational and Civil Engineering Structural Studies (2021), Technical University of Dresden, Germany

  • Advisor: Dr. Rainer Schlebusch

B.S. Civil (Structural) Engineering (2014), Federal University of Technology, Owerri, Nigeria

Professional Experience:

Dr. Mathew’s professional journey is marked by a series of impactful academic and research appointments. At Virginia Tech, he serves as an Affiliate Faculty in the Department of Aerospace and Ocean Engineering and as a Graduate Teaching and Research Assistant in the Department of Engineering Mechanics since 2021. His role involves developing and refining multiphysics phase field models and finite element models, analyzing experimental data, and conducting large-deformation solid mechanics simulations.

Previously, at the Technical University of Dresden (2017-2021), Dr. Mathew contributed to modeling plasticity in anisotropic metallic materials, implementing models in finite element codes, and leading verification and validation efforts. His industry experience includes working as an engineer at CHRITZEC NIG LIMITED (2015-2017), where he was responsible for interpreting technical drawings, characterizing building materials, supervising construction sites, and managing procurement and materials.

Research and Innovations:

Dr. Mathew’s research interests lie at the intersection of solid mechanics, composite materials, and computational modeling. His specific areas of focus include:

  • Solid mechanics and composite laminates
  • Environment-assisted fracture and fatigue behavior
  • Computationally guided innovative materials and manufacturing design
  • Multi-scale simulation modeling of microstructural evolution in additive manufacturing processes
  • Phase field modeling

Publications Top Noted: 

Flexural Stability Analysis of Doubly Symmetric Single Cell Thin-Walled Box Column Based On Rayleigh-Ritz Method [RRM]

  • Authors: K.C. Nwachukwu, J.C. Ezeh, O.M. Ibearugbulem, U.C. Anya, F.K. Atulomah, et al.
  • Journal: International Journal of Recent Research in Thesis and Dissertation
  • Volume: 5
  • Issue: 1
  • Pages: 79-90
  • Year: 2024

A Numerical Phase Field Model to Simulate Crack Initiation from Pitting Site

  • Author: C. Mathew
  • Platform: ResearchGate
  • Year: 2023

Optimization of Flexural Strength and Split Tensile Strength of Hybrid Polypropylene Steel Fibre Reinforced Concrete (HPSFRC)

  • Author: C.M. Kingsley Chibuzor Nwachukwu
  • Journal: International Journal of Advanced Research and Innovative Ideas in Education (IJARIIE)
  • Volume: 9
  • Issue: 4
  • Pages: 18
  • Year: 2023

Investigation into the Failure Mechanism of Masonry under Uniaxial Compression Based on Fracture Mechanics and Nonlinear Finite Element Modelling

  • Author: C. Mathew
  • Journal: International Journal of Scientific and Research Publications
  • Year: 2023

Advancements in Extended Finite Element Method (XFEM): A Comprehensive Literature Review

  • Author: C. Mathew
  • Platform: ResearchGate
  • Year: 2023

Gang Chen | Cellulose-based material | Best Researcher Award

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Prof Dr. Gang Chen, Cellulose-based material, Best Researcher Award

Professor at South China University of Technology, China

Summary:

Prof. Dr. Gang Chen is a leading expert in papermaking technologies and special paper, with extensive research contributions and innovations in the field. He serves as the Chief Professor and Ph.D. Supervisor at South China University of Technology, where he leads the Special Paper Research Team. Dr. Chen has been instrumental in advancing new papermaking technologies and developing special paper materials, with over 100 published papers and 36 patents to his name. His collaborative efforts with prominent institutions and active involvement in national and provincial research projects underscore his commitment to innovation and excellence in the papermaking industry.

Professional Profile:

👩‍🎓Education:

Dr. Gang Chen holds a Ph.D. in Pulp and Paper Making from South China University of Technology.

Professional Experience:

Dr. Gang Chen is a distinguished Chief Professor and Ph.D. Supervisor leading the Special Paper Research Team at South China University of Technology. With a profound expertise in new papermaking technologies and special paper, he has been at the forefront of research and innovation in his field. Over the course of his career, Dr. Chen has successfully led and participated in over 80 research projects, amassing a total funding of 41 million RMB. His prolific academic output includes over 100 published papers, with 58 indexed in major academic databases, alongside authoring a monograph and securing 36 invention patents. Additionally, he has been actively involved in consultancy and industry projects, contributing significantly to advancements in papermaking technologies.

Research and Innovations:

Dr. Chen’s research focuses on special paper-based materials, nanofiber composite materials, and cellulose-based hygroscopic materials. He is dedicated to exploring specialty paper technologies, paper-based functional materials, paper coating technology, fiber mixing and forming mechanisms, and the preparation and application of nanocellulose. His work extends to national key research and development programs, green manufacturing system integration projects, and various foundation and high-tech achievement incubation projects.

Publications Top Noted: 

Enantioselective C(sp3)‒H Bond Activation by Chiral Transition Metal Catalysts

  • Authors: T.G. Saint-Denis, R.Y. Zhu, G. Chen, Q.F. Wu, J.Q. Yu
  • Journal: Science
  • Volume: 359, Issue 6377
  • Year: 2018
  • DOI: 10.1126/science.aao4798
  • Citations: 628

All-Perovskite Tandem Solar Cells with Improved Grain Surface Passivation

  • Authors: R. Lin, J. Xu, M. Wei, Y. Wang, Z. Qin, Z. Liu, J. Wu, K. Xiao, B. Chen, S.M. Park, et al.
  • Journal: Nature
  • Volume: 603, Issue 7899
  • Year: 2022
  • DOI: 10.1038/s41586-021-04174-w
  • Citations: 618

Applied Integer Programming: Modeling and Solution

  • Authors: D.S. Chen, R.G. Batson, Y. Dang
  • Publisher: John Wiley & Sons
  • Year: 2011
  • ISBN: 9780470373064
  • Citations: 589

Novel Nanostructured Paper with Ultrahigh Transparency and Ultrahigh Haze for Solar Cells

  • Authors: Z. Fang, H. Zhu, Y. Yuan, D. Ha, S. Zhu, C. Preston, Q. Chen, Y. Li, X. Han, et al.
  • Journal: Nano Letters
  • Volume: 14, Issue 2
  • Year: 2014
  • DOI: 10.1021/nl404101p
  • Citations: 495

Successful Recovery of COVID‐19 Pneumonia in a Renal Transplant Recipient with Long‐Term Immunosuppression

  • Authors: L. Zhu, X. Xu, K.E. Ma, J. Yang, H. Guan, S. Chen, Z. Chen, G. Chen
  • Journal: American Journal of Transplantation
  • Volume: 20, Issue 7
  • Year: 2020
  • DOI: 10.1111/ajt.15905
  • Citations: 405

Yuan Wei | Functional Materials | Best Researcher Award

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Dr. Yuan Wei, Functional Materials, Best Researcher Award

Doctorate at Dongguan University of Technology, China

Summary:

Dr. Yuan Wei is an Assistant Professor at Dongguan University of Technology with a background in Chemical Engineering. His research focuses on Biomimetic Interface Science and Cellulose-based Functional Materials. Dr. Wei has published extensively in reputable journals and holds patents in his field. He is known for his innovative contributions to the development and application of cellulose-based materials and adhesive hydrogels.

Professional Profile:

👩‍🎓Education:

Ph.D. in Chemical Engineering (2019.09-2023.12): South China University of Technology

Master of Chemical Engineering (2016.09-2019.06): Guangzhou University, China

Bachelor of Chemical Engineering (2012.09-2016.06): Guangzhou University, China

Professional Experience:

  • Assistant Professor (2024.03-present): Dongguan University of Technology
  • Research Assistant (2019.09-2023.12): South China University of Technology

Research and Innovations:

Dr. Yuan Wei has been actively involved in numerous research projects, including those at the Key Laboratory of Storage & Processing of Fruits and Vegetables of Hainan Province and the Guangdong Basic and Applied Basic Research Project General Program. His work has garnered significant recognition, reflected in his impressive citation index of 680 and an H-index of 11 on Google Scholar. Though he has not published any books, he holds 2 patents, either published or under process, and has authored 24 papers in esteemed journals such as Advanced Functional Materials, Chemistry of Materials, Journal of Materials Chemistry A, and Carbohydrate Polymers.

Dr. Wei is also a dedicated reviewer for several scientific journals, including Nano Letters, ACS Applied Materials and Interfaces, Cellulose, and Small Method. His collaborative network includes esteemed researchers like Prof. Gang Chen (South China University of Technology), Prof. Boxin Zhao (University of Waterloo), Prof. Xu Wu (Guangzhou University), Prof. Cheng Zheng (Guangzhou University), Dr. Feng Jiang (University of British Columbia), and Dr. Penghui Zhu (University of British Columbia). Additionally, he is a member of The Chemical Industry and Engineering Society of China.

Areas of Research:

Publications Top Noted: 

MXene‐based Conductive Organohydrogels with Long‐term Environmental Stability and Multifunctionality

  • Authors: Y. Wei, L. Xiang, H. Ou, F. Li, Y. Zhang, Y. Qian, L. Hao, J. Diao, M. Zhang, G. Chen
  • Journal: Advanced Functional Materials
  • Publication Year: 2020
  • Volume and Issue: 30(48)
  • DOI: 10.1002/adfm.202005135
  • Citations: 243

Electrostatic Self-assembly Enabled Flexible Paper-based Humidity Sensor with High Sensitivity and Superior Durability

  • Authors: P. Zhu, Y. Kuang, Y. Wei, F. Li, H. Ou, F. Jiang, G. Chen
  • Journal: Chemical Engineering Journal
  • Publication Year: 2021
  • Volume and Issue: 404
  • DOI: 10.1016/j.cej.2020.127105
  • Citations: 128

Multifunctional Organohydrogel-based Ionic Skin for Capacitance and Temperature Sensing Toward Intelligent Skin-like Devices

  • Authors: Y. Wei, L. Xiang, P. Zhu, Y. Qian, B. Zhao, G. Chen
  • Journal: Chemistry of Materials
  • Publication Year: 2021
  • Volume and Issue: 33(22)
  • DOI: 10.1021/acs.chemmater.1c01935
  • Citations: 59

Polyhydroxyl Gemini Surfactant-modified Montmorillonite for Efficient Removal of Methyl Orange

  • Authors: S. Peng, T. Mao, C. Zheng, X. Wu, Y. Wei, Z. Zeng, R. Xiao, Y. Sun
  • Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects
  • Publication Year: 2019
  • Volume and Issue: 578
  • DOI: 10.1016/j.colsurfa.2019.123602
  • Citations: 35

Porous and Conductive Cellulose Nanofiber/Carbon Nanotube Foam as a Humidity Sensor with High Sensitivity

  • Authors: P. Zhu, Y. Wei, Y. Kuang, Y. Qian, Y. Liu, F. Jiang, G. Chen
  • Journal: Carbohydrate Polymers
  • Publication Year: 2022
  • Volume and Issue: 292
  • DOI: 10.1016/j.carbpol.2022.119684
  • Citations: 32

Shafiqur Rehman | Renewables | Best Researcher Award

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Dr. Shafiqur Rehman, Renewables, Best Researcher Award

Doctorate at King Fahd University of Petroleum and Minerals, Saudi Arabia

Summary:

Dr. Shafiqur Rehman is an accomplished mechanical engineer and researcher specializing in renewable energy systems. He holds a Ph.D. from the University of Pretoria and has extensive experience in wind and solar energy resource assessment, hybrid power system design, and techno-economic feasibility studies. Since 2005, he has been serving as an Associate Professor at the Research Institute of KFUPM in Dhahran, Saudi Arabia, where he has contributed significantly to the field of renewable energy through both his research and teaching. Dr. Rehman’s work has a strong focus on optimizing renewable energy systems to enhance their efficiency and integration into existing power grids, addressing critical challenges in sustainable energy development.

Professional Profile:

👩‍🎓Education:

Dr. Shafiqur Rehman received his Ph.D. degree in Mechanical Engineering from the University of Pretoria, Pretoria, South Africa, in 2012. He earned his M.S. degree in Mechanical Engineering with a specialization in Thermal Sciences from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 1985, achieving a GPA of 3.875 on a 4.0 scale. He completed his B.Sc. Engg. (Honors) in Mechanical Engineering from Aligarh Muslim University (AMU), Aligarh, U.P., India, in 1981, ranking second in his class with a GPA of 8.6 on a 10.0 scale. Additionally, Dr. Rehman holds a B.Sc. (Honors) degree in Physics from AMU, obtained in 1977 with first rank in merit and 70% marks. He also has a Pre-University School Certificate from AMU (1974) with 67% marks and a High School Certificate from the U.P. Board of High School and Intermediate Education, Allahabad, U.P., India (1973), where he achieved 68.8% marks.

Professional Experience:

Dr. Rehman is currently serving as a Research Engineer-II (Associate Professor) at the Research Institute, KFUPM, a position he has held since March 2005. Prior to this, he was a Research Engineer-III (Assistant Professor) at the same institute from April 1999 to March 2005. From September 1991 to March 1999, he worked as an Engineer-I, and from April 1986 to August 1991, as an Engineer-II at the Research Institute, KFUPM. His career at KFUPM began as a Research Assistant in the Mechanical Engineering Department from December 1982 to November 1985. Before joining KFUPM, Dr. Rehman worked as a Design Engineer at N. C. Gupta A/C. Consultants in New Delhi, India, from November 1981 to December 1982.

Research Interest:

Dr. Rehman’s research interests encompass various domains within renewable energy and mechanical engineering, including:

  • Wind Energy Resource Assessment, Potential Site Identification, Grid-Connected and Off-Grid Wind Farm Design and Optimization, Techno-Economic Feasibility, Wind-Diesel Hybrid Power System Design and Optimization
  • Solar Energy Resource Assessment, PV System Sizing, PV-Diesel Hybrid Power System Design, Techno-Economic Feasibility, Hybrid Power System Optimization, PV and Wind Water Pumping and Water Desalination
  • Wind-PV-Diesel Hybrid Power System Design and Optimization
  • Pumped Storage Plants for Improving Load Management
  • Geothermal Resource Assessment
  • Surface and Upper Air Meteorological Data Acquisition and Analysis

Publications Top Noted: 

Global review and synthesis of trends in observed terrestrial near-surface wind speeds: Implications for evaporation

  • TR McVicar, ML Roderick, RJ Donohue, LT Li, TG Van Niel, A Thomas, S Rehman, et al.
  • Journal of Hydrology, 416, 182-205, 2012. (Citations: 1193)

Pumped hydro energy storage system: A technological review

  • S Rehman, LM Al-Hadhrami, MM Alam.
  • Renewable and Sustainable Energy Reviews, 44, 586-598, 2015. (Citations: 1190)

Support vector machines for wind speed prediction

  • MA Mohandes, TO Halawani, S Rehman, AA Hussain.
  • Renewable Energy, 29(6), 939-947, 2004. (Citations: 917)

Performance evaluation of a PV (photovoltaic) module by back surface water cooling for hot climatic conditions

  • H Bahaidarah, A Subhan, P Gandhidasan, S Rehman.
  • Energy, 59, 445-453, 2013. (Citations: 625)

Estimation of global solar radiation using artificial neural networks

  • M Mohandes, S Rehman, TO Halawani.
  • Renewable Energy, 14(1-4), 179-184, 1998. (Citations: 464)

Shayesteh Tabatabaei | Organizational | Best Researcher Award

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Assoc Prof Dr. Shayesteh Tabatabaei, Individual Differences, Best Researcher Award

Associate Professor at Higher education complex of Saravan, Iran

Summary:

Dr. Shayesteh Tabatabaei is an accomplished academic and researcher specializing in computer engineering. She earned her Ph.D. from Tehran Science and Research University, where she focused on developing intelligent routing protocols for mobile ad-hoc networks. With a solid foundation in wireless sensor networks, IoT, and optimization algorithms, Dr. Tabatabaei has made significant contributions to her field. She has been recognized multiple times as a top researcher and is dedicated to advancing knowledge through both teaching and research. Dr. Tabatabaei’s expertise extends to programming and simulation tools, enhancing her research and instructional capabilities.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Engineering, Tehran Science and Research University, Tehran, Iran (2010-2015)

  • Dissertation: “Present New Intelligent Routing Protocol for Mobile Ad-Hoc Network”
  • Supervisor: Dr. M. Teshnehlab
  • GPA: 18.63/20.00

M.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2007-2009)

  • Thesis: “Improving the AODV Routing Protocol Using Reinforcement Learning”
  • Supervisor: Dr. MA. Jabraeil Jamali
  • GPA: 18.69/20.00

B.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2002-2006)

  • GPA: 17.12/20.00

Professional Experience:

Dr. Shayesteh Tabatabaei is an Associate Professor with a robust academic and teaching background in computer engineering. She has extensive experience teaching at the undergraduate and graduate levels, covering courses such as Advanced Database Systems, Distributed Systems, Parallel Algorithms, and Fuzzy Logic for M.Sc. students, and Intelligent Artificial Systems, C and C++ Programming, Operating Systems, Database Systems, Computer Networks, and HTML for B.Sc. students. Her teaching career spans several institutions, including the Higher Educational Complex of Saravan, Sistan Baluchestan University, and various branches of Islamic Azad University (Bonab, Malekan, Miyandoab, Miyaneh, Zahedan).

Dr. Tabatabaei has also organized numerous training workshops focusing on wireless networks, IoT, and ISI article writing, demonstrating her commitment to continuous learning and professional development.

Research Interest:

  • Wireless Sensor Networks
  • Mobile Ad-Hoc Networks
  • Internet of Things (IoT)
  • Routing Protocols
  • Intelligent Algorithms
  • Optimization Algorithms
  • Intelligent Systems

Publications Top Noted: 

A novel fault tolerance energy-aware clustering method via social spider optimization (SSO) and fuzzy logic and mobile sink in wireless sensor networks (WSNs)

  • Comput. Syst. Sci. Eng., 35(6), 477-494, 2020
  • Citations: 60

A novel energy-aware clustering method via Lion Pride Optimizer Algorithm (LPO) and fuzzy logic in wireless sensor networks (WSNs)

  • Wireless Personal Communications, 108, 1803-1825, 2019
  • Citations: 38

Proposing an energy-aware routing protocol by using fish swarm optimization algorithm in WSN (wireless sensor networks)

  • Wireless Personal Communications, 119(3), 1935-1955, 2021
  • Citations: 35

A new method to find a high reliable route in IoT by using reinforcement learning and fuzzy logic

  • Wireless Personal Communications, 112(2), 967-983, 2020
  • Citations: 31

Reliable routing algorithm based on clustering and mobile sink in wireless sensor networks

  • Wireless Personal Communications, 108(4), 2541-2558, 2019
  • Citations: 24

Neil Shortland | Individual Differences | Best Researcher Award

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Mr. Neil Shortland, Individual Differences, Best Researcher Award

Neil Shortland at University of Massachusetts Lowell, United States

Summary:

Neil Shortland is an Associate Professor at the School of Criminology and Justice Studies, University of Massachusetts Lowell, where he also serves as the Director of the Center for Terrorism and Security Studies. With a Ph.D. in Cognitive Psychology from the University of Liverpool, his research spans decision-making under stress, military psychology, and counterterrorism. He has held several esteemed positions and contributed significantly to his field through extensive research, publications, and teaching.

Professional Profile:

👩‍🎓Education:

Ph.D. in Cognitive Psychology, Center for Critical and Major Incident Psychology, University of Liverpool (2017)

MSc in Forensic and Investigative Psychology, University of Liverpool (2011)

  • Distinction and awarded Top Performance on MSc Psychology

BSc in Psychology, University of Bristol (2010)

  • First Class Honors

Professional Experience:

Academic Positions:

Neil Shortland is currently an Associate Professor at the School of Criminology and Justice Studies, University of Massachusetts Lowell, a position he has held since Fall 2021. Prior to this, he served as an Assistant Professor in the same department from Fall 2017 to Spring 2021. Since Fall 2017, he has also been the Director of the Center for Terrorism and Security Studies at UMass Lowell, leading various research initiatives and projects. His academic journey at UMass Lowell began as a Visiting Faculty Lecturer from 2015 to 2017, after which he became the Program Manager and Senior Research Associate at the Center for Terrorism and Security Studies, a role he held from 2013 to 2015. Additionally, Neil was a Research Associate at the International Center for the Study of Terrorism at The Pennsylvania State University from 2012 to 2013.

Applied Research Positions:

In his applied research career, Neil worked as a Cognitive Psychologist at the Home Team Behavioral Sciences Centre, Ministry of Home Affairs, Singapore, in 2015. He also served as a Research Psychologist at the Defense Science and Technology Laboratory for the UK Ministry of Defense from 2011 to 2012. Earlier, he gained experience as a Social Science Researcher with the Kent Public Protection Crime Unit during an academic placement in 2011.

Research Interest:

Neil Shortland’s research primarily focuses on decision-making under stress, military psychology, terrorism, and counterterrorism. His work examines the cognitive processes involved in critical incident decision-making, the psychological impacts of terrorism and security policies, and the development of effective counter-extremism strategies.

Publications Top Noted: 

Why they leave: An analysis of terrorist disengagement events from eighty-seven autobiographical accounts

  • MB Altier, E Leonard Boyle, ND Shortland, JG Horgan
  • Security Studies 26 (2), 305-332, 2017
  • Citation Count: 172

Walking away: The disengagement and de-radicalization of a violent right-wing extremist

  • J Horgan, MB Altier, N Shortland, M Taylor
  • Behavioral Sciences of Terrorism and Political Aggression 9 (2), 63-77, 2017
  • Citation Count: 138

Actions speak louder than words: A behavioral analysis of 183 individuals convicted for terrorist offenses in the United States from 1995 to 2012

  • J Horgan, N Shortland, S Abbasciano, S Walsh
  • Journal of Forensic Sciences 61 (5), 1228-1237, 2016
  • Citation Count: 80

Recruitment and selection in violent extremist organizations: Exploring what industrial and organizational psychology might contribute

  • ST Hunter, ND Shortland, MP Crayne, GS Ligon
  • American Psychologist 72 (3), 242, 2017
  • Citation Count: 59

Youth exposure to hate in the online space: An exploratory analysis

  • N Harriman, N Shortland, M Su, T Cote, MA Testa, E Savoia
  • International Journal of Environmental Research and Public Health 17 (22), 8531, 2020
  • Citation Count: 56

Abdullah All Mamun | Mechanical Engineering | Young Scientist Award

Posted on by Best Paper Awards

Mr. Abdullah All Mamun, Mechanical Engineering, Young Scientist Award

Abdullah All Mamun at Anik University of Huddersfield, United Kingdom

Summary:

Abdullah All Mamun Anik is an aspiring mechanical engineer and researcher currently pursuing a Ph.D. at the University of Huddersfield, UK. With a solid background in industrial and production engineering, he has been involved in innovative projects that integrate IoT and robotics to advance industrial automation. Anik has gained significant experience through various research fellowships and leadership programs at prestigious institutions such as MIT and Harvard Business School. His research interests lie in the development of digital twins and intelligent robotic systems for Industry 4.0 applications.

Professional Profile:

👩‍🎓Education:

Ph.D., Mechanical Engineering (Accepted, Awarded with 100% Scholarship)

  • University of Huddersfield, Queensgate, United Kingdom (April 2024 – Present)
  • Ph.D. Research: Digital Twin of Robotic Manufacturing System for Industry 4.0
  • Supervisors: Dr. Xianzhi Zhang, Prof. Dr. Andrew Longstaff, Dr. Simon Fletcher

Master of Science (M.Sc.), Computer Engineering (English)

  • Üsküdar University, Istanbul, Turkey (Fall Semester 2023-2024)

Bachelor of Science (B.Sc.), Industrial & Production Engineering

  • Bangladesh University of Professionals (BUP), Dhaka, Bangladesh (January 2018 – July 2022)
  • CGPA: 2.95/4.00
  • Dissertation: IoT Based Mechanized Industrial Automation Robot
  • Supervisor: Prof. Dr. Md. Abdul Gafur

Professional Experience:

Abdullah All Mamun Anik is currently a Ph.D. candidate at the University of Huddersfield, where he is researching the development of a digital twin for robotic manufacturing systems as part of Industry 4.0 initiatives. Prior to this, he was selected as an Aspire Leadership Program Scholar at Harvard Business School and Aspire Institute from October 2023 to April 2024. This fully funded leadership program enabled him to enhance his skills in diversity, inclusion, leadership, and critical thinking. In 2022, Anik served as a Junior Research Fellow at the Bangladesh Space Research and Remote Sensing Organization (SPARRSO) under the Ministry of Defense, conducting research on a solar-based intelligent MAR’s Curiosity Rover Robot. Additionally, he gained practical experience in industrial manufacturing and research as an Industrial Trainee at Sena Edible Oil Industry (SEOI) and the Bangladesh Council of Scientific and Industrial Research (BCSIR) in March 2021. His dedication to innovation and leadership was further demonstrated when he was selected for the MIT Innovation Leadership Bootcamp from October to December 2022, focusing on cutting-edge technology and leadership in the field.

Research Interest:

Abdullah’s research interests are primarily focused on the intersection of mechanical engineering, IoT, and robotics. His current Ph.D. research involves creating digital twins for robotic manufacturing systems to enhance operational efficiency and adaptability in Industry 4.0 environments. He is also interested in developing intelligent robotic systems for various industrial applications, including automation, supply chain management, and precision engineering.

Publications Top Noted: 

“An Overview of Supply Chain Management Improvement Factors in Textile Industry Regarding Industry 4.0 in Bangladesh”

  • SA Abdullah All Mamun Anik, Mamunur Rashid Mashuk (2022)
  • DOI: 10.13140/RG.2.2.20424.39688

“IoT Based Mechanized Industrial Automation Robot”

  • AAM Anik, S Adhikary, MI Habib, A Gafur (2022)
  • Military Institute of Science & Technology

“Glass and Refractory Brick Powder Reinforced Unsaturated Polyester Resin Poly-concrete: Fabrication and Properties”

  • SA Abdullah All Mamun Anik, Md. Istiak Habib, Md A Gafur (2022)
  • 4th International Conference on Physics for Sustainable Development

“Supply Chain Management of FMCG Companies in Bangladesh”

  • AAM Anik, H Hasan, MIH Evan, FM Showmik (2021)
  • Global PTAK Prize Global Case Competition, 60% Scholarship

“Industrial Intelligence and Environment Monitoring Robot-IIEMR”

  • AAMA Md. Moshiur Rahman, Md. Mehedi Hasan, Habibur Rahman, Sheikh Md. Shahariar (2020)

Faegheh sadat mortazavi moghadam | Consultant | Best Researcher Award

Posted on by Best Paper Awards

Assist Prof Dr. Faegheh sadat mortazavi moghadam, Consultant, Best Researcher Award

Assistant Professor at Iran University of Science and Technology (IUST), Iran

Summary:

Assist. Prof. Dr. Faegheh Sadat Mortazavi Moghadam is an esteemed scholar specializing in wood and paper science and technology. With extensive academic and professional experience, she has made significant contributions to her field. Dr. Mortazavi Moghadam currently serves as an adjunct professor at Iran University of Science and Technology and Alzahra University, and as a consultant in the R&D department of Arian Saeed Industrial Group.

Professional Profile:

👩‍🎓Education:

Ph.D. in Engineering of Wood and Paper Science and Technology

  • University of Sari, Iran (2016-2021)
  • GPA: 18.88/20 (A+)

M.S. in Engineering of Wood and Paper Science and Technology

  • University of Tehran, Iran (2012-2015)
  • GPA: 18.60/20 (A+)

Second B.Sc. in Engineering of Food Science and Technology

  • Islamic Azad University, Science and Research Branch, Tehran, Iran (2005-2011)
  • GPA: 15.52/20

First B.Sc. in Engineering of Wood and Paper Science and Technology

  • University of Tehran, Iran (2005-2009)
  • GPA: 16.60/20

Professional Experience:

Dr. Mortazavi Moghadam has a robust background in academia and industry. Since 2020, she has been an adjunct professor at the Iran University of Science and Technology and Alzahra University, where she teaches various physics and engineering courses. Her teaching effectiveness is highlighted by her A++ evaluation scores across all courses. Additionally, she is a consultant in the R&D department of Arian Saeed Industrial Group, where she plays a pivotal role in the modification of the coating and laminating production line, contributing to over 70% of the country’s production in this sector.

Research Interest:

Dr. Mortazavi Moghadam’s research focuses on several cutting-edge areas within wood and paper science and technology, including:

  • Cellulose composites and nanocellulose
  • Synthesis and chemical modification of cellulose nanofibers (CNFs)
  • Biomaterials and edible/biocomposites
  • Food packaging technologies, including active packaging and shelf-life analysis
  • Synthesis of nanomaterials with various morphologies
  • Chemical and rheological analysis
  • Antibacterial and antifungal properties of materials
  • Nanogel and nanoencapsulation techniques

Honors and Awards:

  • First place in a national invention competition for conversion and complementary products
  • Top rank in entrance exams for M.Sc. and Ph.D. programs
  • Recognized as a top M.Sc. and Ph.D. student in her field by University of Tehran and University of Sari
  • Multiple academic awards for excellence in research and academics throughout her career

Publications Top Noted: 

Recycling Kaolin from Paper Waste and Assessment of its Application for Paper Coating

  • Authors: Mortazavi Moghadam, F.S., Rasouli, S.
  • Journal: Materials Today Communications, 2024, 39, 109142

Preparation and Physicochemical Evaluation of Casein/Basil Seed Gum Film Integrated with Guar Gum/Gelatin-Based Nanogel Containing Lemon Peel Essential Oil for Active Food Packaging Application

  • Authors: Mortazavi Moghadam, F.A., Khoshkalampour, A., Mortazavi Moghadam, F.A., Naeijian, F., Ghorbani, M.
  • Journal: International Journal of Biological Macromolecules, 2023, 224, pp. 786–796

New Method of Producing Nanominerals from Office Paper Waste and Investigating their Microstructural Properties

  • Authors: Mortazavi Moghadam, F.A., Resalati, H., Rasouli, S., Asadpour, G.
  • Journal: Biomass Conversion and Biorefinery, 2022 (In Press)

Fabrication of High Mechanical Properties Papers Coated with CMC-Based Nanocomposites Containing Nanominerals Synthesized from Paper Waste

  • Authors: Mortazavi Moghadam, F.A., Resalati, H., Rasouli, S., Asadpour, G.
  • Journal: Cellulose, 2021, 28(17), pp. 11153–11164