Himanshi Babbar | Networking | Best Researcher Award

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Himanshi Babbar | Networking | Best Researcher Award

Dr . HimanshiBabbar ,Chitkara University Institute of Engineering and Technology , India

Dr. Himanshi Babbar is an accomplished academic with extensive experience in the field of computer science and technology. She currently serves as an Assistant Professor, Research (CURIN) at Chitkara University, where she has been since February 2022. Her prior roles include working as a Full-time Research Scholar at Chitkara University and as an Assistant Professor at the Chandigarh Group of Colleges and Aryans Group of Colleges. Her teaching portfolio spans a range of undergraduate and postgraduate courses, including Computer Networks, Database Management Systems, Web Technologies, and Programming in various languages. Dr. Babbar’s research interests are centered around advanced networking topics such as Software Defined Networking (SDN), Internet of Things (IoT), Intrusion Detection Systems (IDS), and Deep Learning. Her work aims to enhance network efficiency, security, and integration with emerging technologies.

Publication profile

google scholar

Scopus Profile

ORCID

Education

Himanshi Babbar has an extensive and impressive educational background. She completed her Postdoctoral research at Zayed University, a public university in the UAE, from 2021 to 2022. Following this, she earned her PhD from Chitkara University, Punjab, a private university, between 2018 and 2021. Both of these prestigious qualifications were awarded upon completion. Prior to her PhD, Himanshi completed her Master of Computer Applications (MCA) at Chitkara University, Punjab, from 2012 to 2015, achieving a CGPA of 7.91. She also holds a Bachelor of Computer Applications (BCA) from Chitkara Institute of Engineering and Technology, Punjab, under Punjab Technical University, where she graduated with an impressive 83.0% between 2009 and 2012. Her earlier education includes completing Class XII at ICL Public School in Rajpura under the CBSE board in 2009, with a percentage of 72.6%. She also completed her Class X education at the same school in 2007, securing a percentage of 57.8%

Experience

Dr. Himanshi Babbar is currently serving as an Assistant Professor, Research (CURIN) at Chitkara University, Rajpura, Punjab Campus, since February 2022. Before this role, she was a Full-time Research Scholar at the same institution from November 2018 to December 2021. During her tenure as a Research Scholar, she taught several undergraduate courses, including “Computer Networks and Cisco Packet Tracer” at the 1st year level, “Database Management System” at the 2nd year level, and “Introduction to Web Technologies” also at the 2nd year level. Prior to her current position, Dr. Babbar worked as an Assistant Professor at the Chandigarh Group of Colleges, Landran (Mohali) from June 2016 to November 2017. Here, she taught courses such as “Digital Circuit and Logic Design”, “Software Engineering”, “System Analysis and Design (SAD)”, and “Oracle” at the 2nd year undergraduate level. Additionally, she supervised “Minor and Major Projects” at the 3rd year undergraduate level. She is also experienced in teaching “Workshop on Web Development” and “Java” at the 3rd year undergraduate level, as well as “Programming in C” at the 2nd year MBA (IT) level. Earlier in her career, Dr. Babbar held the position of Assistant Professor at the Aryans Group of Colleges, Chandigarh from August 2015 to November 2015. During this period, she taught “Information Technology” at the 1st year postgraduate level, “Digital Circuit and Logic Design” at the 2nd year undergraduate level, and “Programming in Java” at the 3rd year undergraduate level.

 

Research focus

Dr. Himanshi Babbar’s areas of expertise and research interests include Software Defined Networking, Internet of Things, Intrusion Detection Systems, and Deep Learning. These fields reflect her deep engagement with cutting-edge technologies and their applications, showcasing her commitment to advancing knowledge and innovation in these domains

Skills:

Dr. Himanshi Babbar possesses a strong technical skill set, including proficiency in programming languages such as C, C++, and Python. Her software skills include experience with development environments and tools like Eclipse, Turbo C++, Dev C++, Code-Blocks, ORACLE, NetBeans, and Mininet. She is adept at using various operating systems, including Windows 8, Windows 7, Windows XP, and Ubuntu 18.04 LTS. Additionally, Dr. Babbar is skilled in using Overleaf (LATEX) for document preparation, Origin for data analysis, and MS-Office Suite (Word, Excel, PowerPoint) for general office tasks.

Publication top notes

  • Security framework for internet-of-things-based software-defined networks using blockchain
    • Year: 2022
    • Journal: IEEE Internet of Things Journal
    • Authors: S Rani, H Babbar, G Srivastava, TR Gadekallu, G Dhiman
    • πŸ“…πŸ”’πŸŒ
  • An optimized approach of dynamic target nodes in wireless sensor network using bio inspired algorithms for maritime rescue
    • Year: 2022
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Authors: S Rani, H Babbar, P Kaur, MD Alshehri, SH Shah
    • πŸ“…πŸš’πŸ”„
  • An efficient and lightweight deep learning model for human activity recognition using smartphones
    • Year: 2021
    • Journal: Sensors
    • Authors: Ankita, S Rani, H Babbar, S Coleman, A Singh, HM Aljahdali
    • πŸ“…πŸ“±πŸ§ 
  • Load balancing algorithm for migrating switches in software-defined vehicular networks
    • Year: 2021
    • Journal: Comput. Mater. Contin
    • Authors: H Babbar, S Rani, M Masud, S Verma, D Anand, N Jhanjhi
    • πŸ“…πŸš—πŸ”„
  • Energy‐Efficient Routing Protocol for Next‐Generation Application in the Internet of Things and Wireless Sensor Networks
    • Year: 2022
    • Journal: Wireless Communications and Mobile Computing
    • Authors: R Dogra, S Rani, H Babbar, D Krah
    • πŸ“…πŸ”‹πŸ“‘
  • Intelligent edge load migration in SDN-IIoT for smart healthcare
    • Year: 2022
    • Journal: IEEE Transactions on Industrial Informatics
    • Authors: H Babbar, S Rani, SA AlQahtani
    • πŸ“…πŸ₯πŸ”„
  • A genetic load balancing algorithm to improve the QoS metrics for software defined networking for multimedia applications
    • Year: 2022
    • Journal: Multimedia Tools and Applications
    • Authors: H Babbar, S Parthiban, G Radhakrishnan, S Rani
    • πŸ“…πŸŽ₯πŸ”„
  • Load balancing algorithm on the immense scale of internet of things in SDN for smart cities
    • Year: 2021
    • Journal: Sustainability
    • Authors: H Babbar, S Rani, D Gupta, HM Aljahdali, A Singh, F Al-Turjman
    • πŸ“…πŸ™οΈπŸ”„
  • Cloud based smart city services for industrial internet of things in software-defined networking
    • Year: 2021
    • Journal: Sustainability
    • Authors: H Babbar, S Rani, A Singh, M Abd-Elnaby, BJ Choi
    • πŸ“…β˜οΈπŸ™οΈ
  • Software-defined networking framework securing internet of things
    • Year: 2020
    • Journal: Integration of WSN and IoT for Smart Cities
    • Authors: H Babbar, S Rani
    • πŸ“…πŸ”’πŸ“‘

Prakhar Consul | Computer Science | Best Researcher Award

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Prakhar Consul | Computer Science | Best Researcher Award

Mr Prakhar Consul, Bennett University, India

Prakhar Consul is an Assistant Professor and Ph.D. candidate at Bennett University, specializing in Internet-of-Things, Mobile Edge Computing, and Deep Reinforcement Learning. He holds an M.Tech. in Electronics and Communication from Sharda University and a B.Tech. from Shobhit University. With a robust teaching background in subjects like Microprocessors and Embedded Systems, his research focuses on computational offloading and resource allocation for UAV-assisted Mobile Edge Computing in 5G networks. Prakhar has taught at Dewan V S Institute, Neelkanth Group of Institutions, and I A M R Group of Institutions. πŸŽ“πŸ“‘πŸ€–πŸ“˜

Publication profile

google scholar

Education

Dr. Prakhar Consul is a Ph.D. candidate in Computer Science Engineering at Bennett University, India, expected to complete in Nov. 2024. Their thesis focuses on computational offloading and resource allocation in mobile edge computing using machine learning in 5G networks πŸ“‘. They hold an M.Tech in Electronics and Communication from Sharda University (2015) with a thesis on microstrip patch antennas πŸ“Ά. Dr. Prakhar Consul also has a B.Tech in Electronics and Communication from Shobhit University (2013) and completed their senior secondary education at J.A.S. Inter College 🏫. Their academic journey is marked by excellence and innovation in engineering and technology πŸ’‘.

Experience

Dr. Prakhar Consul served as an Assistant Professor in the Department of Electronics and Communication Engineering at Dewan V S Institute of Engineering and Technology (DVSIET), Meerut, India, from January 2020 to October 2021. Prior to this, they worked at Neelkanth Group of Institutions (NGI), Meerut, from August 2018 to January 2020 in the Department of Electronics and Electrical Engineering. From August 2015 to August 2018, they were part of the Department of Electronics and Communication Engineering at I A M R Group of Institutions, Meerut. Their extensive teaching experience highlights their dedication to education and engineering. πŸ“šπŸ”ŒπŸ‘¨β€πŸ«

Research focus

P. Consul’s research focuses on advancing wireless communication systems, with an emphasis on energy efficiency, security, and optimization in emerging technologies. His work includes developing innovative antenna designs, such as microstrip and U-slotted patch antennas, and enhancing energy-efficient schemes for mobile edge computing (MEC) using federated learning and reinforcement learning. He explores security in UAV-assisted systems, with solutions for secure computation and resource allocation in blockchain-assisted cyber-physical systems. His research also covers dual and triple band gap antennas and resource optimization strategies for digital twin-empowered UAV networks. πŸš€πŸ“‘πŸ”

Publication top notes

Triple band gap coupled microstrip U-slotted patch antenna using L-slot DGS for wireless applications

Federated learning based energy efficient scheme for MEC with NOMA underlaying UAV

Power allocation scheme based on DRL for CF massive MIMO network with UAV

Security reassessing in UAV-assisted cyber-physical systems based on federated learning

Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network

FLBCPS: federated learning based secured computation offloading in blockchain-assisted cyber-physical systems

A review of different vulnerabilities of security in a layered network

A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0

A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For Future Wireless Network

Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT

Yasir Iqbal | Physics and Astronomy | Best Researcher Award

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Yasir Iqbal | Physics and Astronomy | Best Researcher Award

Mr Yasir Iqbal, National University of Sciences and Technology, Pakistan

Dr. Yasir Iqbal is a dedicated physicist specializing in nanomaterials and their applications in medicine. He is currently pursuing his Ph.D. in Physics at the National University of Science and Technology, Islamabad, with a CGPA of 3.75, focusing on polymer hydrogel incorporated metallic nanoparticles for tissue regeneration and cancer treatment. Yasir holds an M.Sc. in Physics from COMSATS University, researching silver-doped ZnO nanoparticles for antimicrobial and wound healing applications. He has extensive teaching and research experience, including roles as a lab demonstrator and research associate. His work has been published in several renowned journals. 🌟πŸ§ͺπŸ“š

Publication profile

Scopus

Academics

πŸ“˜ Currently pursuing a Ph.D. in Physics at the National University of Science and Technology, Islamabad (Sept 2021 – Present), with a CGPA of 3.75. Research focuses include polymer hydrogel incorporated metallic nanoparticles and tissue regeneration, photocatalysis of metallic nanomaterials, and biofunctionalization of metallic nanoparticles for cancer treatment. πŸ§ͺ Holds a Master of Science in Physics from COMSATS University Islamabad, Lahore Campus (Aug 2020), with a CGPA of 3.50. Thesis titled β€œSilver doped ZnO nanoparticles for antimicrobial and wound healing applications.” πŸŽ“ Earned a Bachelor of Science in Physics from the University of Sargodha (July 2018), specializing in nanophysicsΒ and experimental techniques. πŸ”¬

Academic Experience

A dedicated Lab Demonstrator/Visiting Lecturer in Applied Physics at the Department of Physics, School of Natural Sciences (SNS), NUST, Islamabad, since September 2022, brings a wealth of experience to the academic community. Previously, they served as a Research Associate from September 2021 to February 2022, specializing in TGA/DSC TA Instrument (SDT650). They also contributed as a Research Visitor at the Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University, focusing on Polymer Hydrogel Fabrication for wound healing applications. Their expertise and dedication are evident in their impactful roles and research contributions. πŸ“šπŸ”¬βœ¨

Research focus

Y. Iqbal’s research focuses on the synthesis and application of nanomaterials and hydrogels for various biomedical and environmental purposes. Key areas include developing alginate-based hydrogels with inorganic nanomaterials for wound healing and bone tissue regeneration πŸ¦΄πŸ’‰, creating green-synthesized nanocomposites for photocatalytic degradation of pollutants πŸ’§πŸ”¬, and exploring the use of nanostructures for antibacterial and antioxidant activities 🌿🦠. The work also involves freeze-gelated hydrogels, silver nanoparticles, and luminescence-based ion sensing technologies, emphasizing sustainable and innovative approaches to material science 🌍✨. This multidisciplinary research aims to bridge nanotechnology and practical applications for health and environmental benefits.

Publication top notes

Alginate-Based hydrogels with inorganic Nanomaterials: A promising approach for wound healing and bone tissue regeneration

Greener approach for the synthesis of Ag decorated ZnO–CeO2Β nanostructure using Moringa oleifera LE and its investigation as photocatalyst for degradation of ciprofloxacin and methylene orange

Freeze-gelated sodium alginate incorporated GO hydrogel membrane fabrication, thermal and mechanical studies

In-situ formation of Azo dye capped-silver nanoparticles and their nanocomposite with reduced graphene oxide for dye degradation

Luminescence and Fluorescence Ion Sensing

Green synthesis of RGO-ZnO mediated Ocimum basilicum leaves extract nanocomposite for antioxidant, antibacterial, antidiabetic and photocatalytic activity

Green synthesis of ZnO and Ag-doped ZnO nanoparticles using Azadirachta indica leaves: Characterization and their potential antibacterial, antidiabetic, and wound-healing activities

Green synthesis of CeO2Β nanoparticles from the abelmoschus esculentus extract: Evaluation of antioxidant, anticancer, antibacterial, and wound-healing activities

 

Pydimarri Padmaja | Engineering | Excellence in Research

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Pydimarri Padmaja | Engineering | Excellence in Research

Dr Pydimarri Padmaja, Teegala Krishna Reddy engineering college, India

Dr. Pydimarri Padmaja is a dedicated Professor at Teegala Krishna Reddy College of Engineering, specializing in Electronics and Communication Engineering (ECE). With a B.Tech from JNTU Kakinada and an M.Tech with Distinction from GEC Gudlavalleru, she earned her Ph.D. from SVUCE in 2019, focusing on Wireless Sensor Networks. Her thesis introduced advanced secure aggregation protocols to enhance data integrity. She has received multiple awards, including β€˜Best Faculty’ and recognition as an β€˜Innovative Researcher.’ Dr. Padmaja is also certified in Systems Maintenance Engineering and has attended numerous workshops and seminars on emerging technologies. πŸ…πŸ”¬πŸ“š

Publication profile

Education

With a robust educational background, the individual completed their SSE at JNV, Pedavegi under CBSE in 1993 with 1st Class honors πŸ†. They further pursued DEIE at Govt. Polytechnic SRLM with 1st Class and Distinction in 1996, specializing in Electronics and Instrumentation πŸ“Ÿ. Their academic journey continued with a B.Tech in ECE from JNTU, Kakinada in 2004, achieving 2nd Class honors πŸŽ“. They excelled in their M.Tech in DECS from GEC, Gudlavalleru in 2008 with 1st Class and Distinction πŸŽ–οΈ. They culminated their studies with a Ph.D. in Wireless Sensor Networks from SVUCE, SVU in 2019 πŸ“‘.

Experience

Dr.Β Pydimarri Padmaja has had a distinguished academic career, starting as an Assistant Professor at Vignan Institute of Technology and Science, Deshmukhi, on May 5, 2007. Over the years, Dr. [Name] advanced to Associate Professor at the same institution, serving from August 12, 2013, to August 29, 2019. Currently, Dr. [Name] holds the position of Professor at Teegala Krishna Reddy College of Engineering, a role embraced since August 30, 2019, and continues to contribute to the field with dedication. πŸŽ“πŸ“šπŸ”¬

Research focus

Dr. Pydimarri Padmaja’s research focuses on optimizing and securing wireless sensor networks (WSNs) and enhancing their efficiency. Her work includes energy-efficient data aggregation, malicious node detection, and secure data transmission in WSNs. She has explored techniques to circumvent jammers, optimize sensor network operations, and implement robust trust management in IoT systems. Dr. Padmaja’s research also extends to clinical studies, including the prevalence of endometrial tuberculosis in infertility cases. Her contributions to the field improve network reliability and data security, crucial for advancing modern communication systems. πŸ”πŸ“‘πŸ”’

Publication top notes

Jabir Arif | Agricultural and Biological Sciences | Best Researcher Award

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Jabir Arif | Agricultural and Biological Sciences | Best Researcher Award

Assoc Prof Dr Jabir Arif, Sidi Mohamed Ben Abdellah University, Morocco

Jabir Arif is a distinguished scholar in Industrial Engineering and Logistics. His expertise encompasses Supply Chain Management, IoT, AI, and Risk Assessment. Jabir has published extensively in high-impact journals and has presented at international conferences. He has pioneered innovative solutions for logistics optimization, significantly enhancing efficiency and reducing costs across various industries. In addition to his research, he has actively collaborated with industry partners, contributing to the development of new tools and methodologies. Jabir also organizes workshops and seminars, and serves as a reviewer and Technical Committee member for prestigious journals and conferences. πŸŒπŸ“¦πŸ“Š

Publication profile

Education

Jabir Arif is a key figure in Industrial Engineering and Logistics, specializing in Supply Chain Management, IoT, AI, and risk assessment. πŸ“¦πŸŒ He has published extensively in high-impact journals and presented at international conferences. πŸŒπŸ“š His work on IoT and AI applications in supply chain management has led to practical implementations that enhance efficiency and reduce costs. πŸ’‘πŸ”§ Jabir actively collaborates with industry partners, developing new tools and methodologies. πŸ€πŸ” He organizes workshops and training sessions for professionals and students, and serves as a reviewer and Technical Committee member for prestigious journals and conferences. πŸ«πŸ“‹

Experience

Jabir Arif has significantly contributed to R&D, innovations, and extension activities in Industrial Engineering and Logistics πŸ“¦. His research spans Supply Chain Management, Outsourcing of Logistics, Risk Assessment, IoT, AI, and Industrial Engineering πŸ€–. Jabir has published in high-impact journals and presented at international conferences 🌍. He has advanced IoT and AI in supply chain management, creating innovative solutions for risk assessment and logistics optimization πŸ”. His work has practical applications in various industries, enhancing efficiency and reducing costs 🏭. Additionally, Jabir organizes workshops, seminars, and training sessions πŸ“š, and serves as a reviewer for prestigious journals and conferences πŸ“.

Awards

Jabir Arif is a distinguished speaker at IEOM Society events 🌍, presenting on “Global Supply Chain and Logistics” in 2022 and 2023 πŸ“…. He is a member of the Industrial Engineering and Operations Management Society and serves as Faculty Advisor for IEOM Student Chapters 🏫. He is on the steering committee for the International Congress of Engineering and Complex Systems and has chaired oral sessions at the International Conference on Digital Technologies and Applications 🎀. Jabir is a permanent researcher at the Research Laboratory of Technologies and Industrial Services in Fez and an associate researcher at the Research Laboratory of Modeling and Optimization of Industrial and Logistics Systems in Tetouan πŸ”¬. Additionally, he is a member of IEEE and a reviewer for prestigious journals in Industrial Engineering and Operations Management πŸ“š.

Research focus

Dr. J Arif’s research primarily focuses on logistics and supply chain management, emphasizing the implementation of advanced technologies like the Internet of Things (IoT) and Industry 4.0. His work includes improving traceability processes, risk assessment in logistics outsourcing, and enhancing logistics service performance. He has contributed significantly to understanding the integration of lean management with modern technological frameworks in supply chains. His studies also explore the sustainability aspects of supply chains through IoT applications and demand forecasting techniques in various industries, including automotive and semiconductor manufacturing. πŸš›πŸ“¦πŸ”—πŸ“‘πŸŒΏ

Publication top notes

 

Daxa Vekariya | Computer Engineering | Best Researcher Award

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Dr.Daxa Vekariya | Computer Engineering | Best Researcher Award

Professor | Parul University | India

Dr. Daxa Vekariya is an accomplished academician and researcher with a distinguished career spanning over 14 years. She currently serves as an Associate Professor in the Computer Engineering Department at Parul Institute of Engineering, Vadodara. Her expertise lies in the fields of computer engineering, data mining, and multimedia data analysis.

Profile

scopus

πŸ“š Education

  • PhD in Computer Engineering, Rai University, Ahmedabad, Jan 2019.
  • M.Tech in Computer Science & Engineering, Nirma University, Ahmedabad, May 2011.
  • B.E in Information Technology, V.V.P Engineering College, Rajkot, July 2006.
  • Diploma in Information Technology, AVPTI, Rajkot, June 2003.
  • H.S.C., Gujarat Higher Secondary Board Education, March 2000.

🏒 Experience

  • Associate Professor, Computer Engineering, Parul Institute of Engineering, since March 2021.
  • Associate Professor, Computer Engineering, Noble Engineering College, Junagadh, Feb 2019 – Feb 2021.
  • Assistant Professor, Computer Engineering, Noble Engineering College, Junagadh, June 2014 – April 2019.
  • Assistant Professor, Information Technology, Sanjaybhai Rajayguru College of Engineering and Technology, Rajkot, June 2011 – May 2014.
  • Senior Web Developer, Shree Consultancy Service, Rajkot, June 2006 – June 2011.

πŸ”¬ Research Interests

  • Multimedia data analysis and intellectual property rights.
  • Optimization techniques using CUDA for image processing.
  • Data mining applications in computer vision.

πŸ† Awards

  • Pedagogical Innovation Award (PIA) by Gujarat Technological University, Feb 2017.
  • Best Research Paper Award, International Conference Nuicon, Nirma University, Dec 2010.
  • Best Guide Award, NOBCON, Noble Group of Institutions, Mar 2015.
  • Excellent Research Paper Award, International Conference on Recent Advances in Engineering and Technology, Melbourne, Feb 2020.

πŸ“„ Publications

Sree Varshini Gurumurthi Yohanandhan | Engineering | Best Researcher Award

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Mrs. Sree Varshini Gurumurthi Yohanandhan | Engineering | Best Researcher Award

Student of Thiagarajar college of Engineering, India

Mrs. Sree Varshini Gurumurthi Yohanandhan is a distinguished academic and researcher in the field of Electrical and Electronics Engineering (EEE). Holding a Ph.D. from Thiagarajar College of Engineering, Madurai, under Anna University, she has established a robust foundation in control and instrumentation engineering with a stellar 9.1 CGPA in her M.Tech. Her academic journey began with a B.E. in EEE from SACS MAVMM Engineering College, Madurai, where she graduated with a commendable 7.9 CGPA. She has also excelled in her early education, securing top marks and distinctions. With a keen interest in Cyber-Physical Power Systems, FACTS controllers, control systems, and power system stability, Mrs. Sree Varshini has dedicated her career to advancing these critical areas. Her technical prowess is evident through her expertise in MATLAB, and her achievements include several academic excellence awards and a prestigious TEQIP scholarship. Mrs. Sree Varshini is committed to leveraging her knowledge and skills to contribute significantly to her field and inspire future generations. πŸš€πŸ“šπŸ‘©β€πŸ”§

Professional profile

EducationπŸ“š

Mrs. Sree Varshini Gurumurthi Yohanandhan’s academic journey is marked by excellence and dedication. She recently submitted her Ph.D. thesis at Thiagarajar College of Engineering, Madurai, under Anna University. She previously earned an M.Tech. in Control and Instrumentation Engineering from the same institution in 2014, graduating with an impressive 9.1 CGPA, achieving First Class with Distinction πŸ₯‡. Her foundational education includes a B.E. in Electrical and Electronics Engineering from SACS MAVMM Engineering College, Madurai, completed in 2012 with a 7.9 CGPA, earning First Class honors πŸ₯ˆ. Earlier, she excelled in her secondary education, scoring 85% in her XII exams from H.D.I. Jain Matric. Hr. Sec. School, Madurai, and 82.36% in her X exams from P.K.N. Matriculation School, Madurai, both with First Class distinctions πŸ“œπŸ†.

Professional ExperienceπŸ›οΈ

Mrs. Sree Varshini Gurumurthi Yohanandhan is a seasoned academic with over 16 years of teaching experience. Currently, she serves as an Assistant Professor at Aditya College of Engineering & Technology, Surampalem, since December 2020 πŸ“š. She has previously held positions at the Swami Vivekananda Institute of Technology, Secunderabad (2018-2019), Nishitha College of Engineering and Technology, Hyderabad (2017-2018), Pragati Engineering College, Surampalem (2010-2017), and Sreenidhi Institute of Science and Technology, Hyderabad (2007-2010) 🌐. Her roles have been ratified by JNT University, highlighting her commitment to academic excellence and mentorship πŸš€πŸ‘©β€πŸ”§.

Research Interest🌐

Mrs. Sree Varshini Gurumurthi Yohanandhan’s research interests lie at the intersection of advanced power systems and cybersecurity. She focuses on Cyber-Physical Power Systems and cyber-attack detection, exploring innovative solutions to enhance system resilience πŸ”’βš‘. Her expertise extends to FACTS controllers, where she investigates their role in improving power system stability and efficiency πŸŒπŸ”§. Additionally, she delves into control systems, aiming to develop robust control strategies for complex power networks. Her commitment to advancing these critical areas drives her research efforts, contributing to the development of safer and more reliable power systems πŸš€πŸ”‹.

Awards and HonorsπŸ†

Mrs. Sree Varshini Gurumurthi Yohanandhan has been recognized for her academic excellence and contributions to engineering. She was awarded the first prize for Academic Excellence in the year 2010-2011 πŸ₯‡. In the subsequent year, 2011-2012, she secured the second prize for Academic Excellence πŸ₯ˆ. Additionally, she received the TEQIP (Teaching Assistant) scholarship from Thiagarajar College of Engineering, Madurai, which further highlights her dedication and outstanding performance in her field πŸŽ“πŸŒŸ. These accolades underscore her commitment to academic and professional excellence, driving her continuous pursuit of knowledge and innovation πŸš€πŸ“š.

AchievementsπŸ…
  • First Prize for Academic Excellence (2010-2011) πŸ₯‡
  • Second Prize for Academic Excellence (2011-2012) πŸ₯ˆ
  • TEQIP (Teaching Assistant) Scholarship πŸŽ“
  • Exceptional Performance in M.Tech. with 9.1 CGPA πŸ“ˆ
  • Outstanding B.E. Graduation with 7.9 CGPA πŸŽ–οΈ
  • Consistently High Marks in Secondary and Higher Secondary Education πŸ…
ProjectsπŸ› οΈ
  • Development of Cyber-Physical Power System Models βš™οΈπŸ”’
  • Implementation of Cyber Attack Detection Mechanisms πŸ›‘οΈπŸ’»
  • Design and Optimization of FACTS Controllers πŸ”§βš‘
  • Advancements in Power System Stability Solutions πŸŒπŸ“Š
  • Research on Control Systems for Complex Power Networks πŸ“ˆπŸ”¬
Publications top notedπŸ“œ
  • “Detection and Mitigation of Coordinated Cyber-Physical Attack in CPPS”
    Heliyon, 2024, 10(4), e26332
    πŸ“πŸ” (0 Citations)
  • “Classification and Regression Algorithms for Brain Computer Interfacing”
    2024 International Conference on Cognitive Robotics and Intelligent Systems, ICC – ROBINS 2024, pp. 75–79
    πŸ§ πŸ“Š (0 Citations)
  • “Identification of Disfluency Among Children Using Efficient Machine Learning Techniques”
    Lecture Notes in Electrical Engineering, 2024, 1096, pp. 829–839
    πŸ‘ΆπŸ€– (0 Citations)
  • “Compact Fractal-Based Bandpass Filter with High Selectivity for Terahertz Applications”
    Optical and Quantum Electronics, 2023, 55(11), 960
    πŸ“‘πŸ”¬ (0 Citations)
  • “Detection of Data Integrity Attack in Cyber Physical Power System using Data-driven Method”
    2023 International Conference on Energy, Materials and Communication Engineering, ICEMCE 2023
    πŸ”βš‘ (0 Citations)
  • “Analysis of Millimeter Wave Path Loss Prediction using Machine Learning Techniques”
    WiSPNET 2023 – International Conference on Wireless Communications, Signal Processing and Networking
    πŸ“ΆπŸ“ˆ (0 Citations)
  • “Development of V2V Communication using Light Fidelity”
    3rd International Conference on Electronics and Sustainable Communication Systems, ICESC 2022, pp. 565–568
    πŸš—πŸ’‘ (3 Citations)
  • “Design of ANFIS Controller for Power System Stability Enhancement using FACTS Device”
    Lecture Notes in Electrical Engineering, 2015, 326, pp. 1163–1171
    βš™οΈπŸ”§ (6 Citations)
  • “Enhancement of Available Transfer Capability using Particle Swarm Optimization Technique with Interline Power Flow Controller”
    IET Conference Publications, 2012, 2012(624 CP), pp. 331–334
    πŸ’»πŸ› οΈ (3 Citations)

Terin Adali | Materials Science | Best Researcher Award

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Terin Adali | Materials Science | Best Researcher Award

Prof Dr Terin Adali, Research and Applications Center of Biomedical Sciences / Girne American University, Turkey

Prof. Dr. Terin AdalΔ± is a distinguished academic in Biomedical Engineering, earning titles of Assistant Professor in 2007, Associate Professor in 2014, and Professor in 2020. She has supervised numerous Master’s theses at Near East University, focusing on innovative biomedical topics like non-thrombogenic scaffolds, antimicrobial biomaterials, and environmental studies. Her extensive research contributions span various disciplines, showcasing her commitment to advancing biomedical engineering and education. πŸŒŸπŸ“šπŸ”¬

Publication profile

google scholar

Education

A dedicated scholar, Terin Adali earned a Bachelor of Science in Chemistry from Middle East Technical University in 1984 πŸŽ“. They advanced their expertise with a Master of Science in Chemistry from Eastern Mediterranean University in 1996 πŸ”¬. Furthering their academic journey, they completed a Doctor of Philosophy in Chemistry at Eastern Mediterranean University in 2007 πŸ§ͺ. Currently, [Name] is pursuing a second Ph.D. in Educational Administration and Supervision at Girne American University πŸ“š. Their extensive academic background highlights a strong commitment to both scientific and educational fields. πŸ’‘πŸ“–

Project

Prof. Dr. Terin AdalΔ± has managed and supervised various significant research projects. These include the use of intelligent agents in e-learning (2005-2007), early detection of prostate and breast cancer using neural networks (2010-2012), and spectroscopic studies on polyethylene glycol and calf thymus DNA (2011-2012). She also developed enzyme-based silk fibroin/chitosan hybrid biosensors for creatinine detection (2016-2018), artificial cartilage structures using 3D silk scaffolds (2017-2019), and silk fibroin nanoparticles for anticancer potential in breast cells (2017-2019). Additionally, she worked on biosensors for Influenza A H5N1 diagnosis (2019-2020), electrochemical immunosensors for Alzheimer’s detection (2019-2021), and hydrogels for tissue engineering (2019-2021). 🌟🧬πŸ§ͺπŸ’‘

Awards

Assistant Professor Terin Adali has received numerous accolades for her contributions to education and research. She earned a Certificate of Merit from Girne American University in 2007 for her impact on the institution’s development 🌟, and another from the North Cyprus Ministry of Education in 2008 for her consultancy on the EU Benchmarking Project πŸ“Š. Adali won the Near East University Research Award in 2009 πŸ†, the EBTNA Award for Best Third Oral Presentation in 2013 🎀, and the 3rd Best Poster Presentation at IBMEC in 2018 πŸ–ΌοΈ. She also received the Near East University Science Award and Paper Award in 2018 πŸ”¬πŸ“œ.

Research focus

T Adalı’s research focuses on biomaterials, particularly silk fibroin, chitosan, and their applications in biomedical fields. Key areas include non-thrombogenic biomaterials, chondrocyte proliferation, grafting polymers for biocompatibility, and drug delivery systems for conditions like Alzheimer’s and glaucoma. Notable works involve hydrogels for cartilage regeneration and cancer treatments using silk fibroin. AdalΔ± also explores PEG-DNA interactions and the use of neural networks for early cancer detection. This research intersects materials science and biomedical engineering, emphasizing biocompatibility and therapeutic applications. πŸ§¬πŸ’‰πŸ©ΊπŸ”¬πŸ§«

Publication top notes

Silk fibroin as a non-thrombogenic biomaterial

The chondrocyte cell proliferation of a chitosan/silk fibroin/egg shell membrane hydrogels

Grafting of poly (triethylene glycol dimethacrylate) onto chitosan by ceric ion initiation

Synthesis, characterization and biocompatibility studies on chitosan-graft-poly (EGDMA)

Spectroscopic characterization of PEG-DNA biocomplexes by FTIR

The use of scaffolds in cartilage regeneration

Chitosan-graft-poly (N-hydroxy ethyl acrylamide) copolymers: Synthesis, characterization and preliminary blood compatibility in vitro

Alzheimer’s disease targeted nano-based drug delivery systems

Intravitreal injectable hydrogels for sustained drug delivery in glaucoma treatment and therapy

The wonders of silk fibroin biomaterials in the treatment of breast cancer

Maryam JaliliSadrabad Regenerative Dentistry | Best Researcher Award

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Assoc Prof Dr.Maryam JaliliSadrabad Regenerative Dentistry | Best Researcher Award

Oral and Maxillofacial Medicine |Semnan University of Medical Sciences | Netherlands

Maryam Jalili Sadrabad is a distinguished researcher in the field of oral and maxillofacial diseases, currently based in Iran. She has been making significant contributions to dental research and education through her work at Semnan University of Medical Sciences since April 2015.

Profile

orcid

πŸŽ“ Education

Maryam Jalili Sadrabad has a robust educational background that has laid the foundation for her successful career in medical sciences. Specific details about her degrees and the institutions she attended are not provided, but her expertise in oral and maxillofacial diseases highlights her extensive training and education in the field.

πŸ’Ό Experience

Since April 6, 2015, Maryam Jalili Sadrabad has been employed at Semnan University of Medical Sciences in Semnān, Iran. Her role involves research, teaching, and contributing to advancements in dental sciences, particularly focusing on oral and maxillofacial diseases.

πŸ”¬ Research Interest

Maryam Jalili Sadrabad’s research interests are primarily focused on oral and maxillofacial diseases. Her work involves exploring innovative treatments and understanding the underlying mechanisms of these conditions to improve patient outcomes.

πŸ† Awards

Information about specific awards received by Maryam Jalili Sadrabad is not provided. However, her continuous contributions to dental research and her role at a prominent medical university suggest recognition and respect in her field.

πŸ“š Publications

Maryam Jalili Sadrabad has authored several notable publications in esteemed journals:

  1. “Success in Tooth Bud Regeneration: A Short Communication”
    Published in Journal of Endodontics in March 2024
    DOI: 10.1016/j.joen.2023.12.005
    Cited by Crossref.
  2. “Gingival bullae-A rare visible case report”
    Published in Journal of Research in Applied and Basic Medical Sciences on January 1, 2024
    DOI: 10.61186/rabms.10.1.31
    Cited by Crossref.
  3. “The Effect of Bone and Dentin Matrix Derivatives on the Differentiation of Human Dental Pulp Stem Cells for Osteogenesis and Dentinogenesis in a Scaffold-Free Culture”
    Published in Regenerative Engineering and Translational Medicine in September 2023
    DOI: 10.1007/s40883-022-00291-w
    Cited by Crossref.
  4. “Laser Therapy in Lip Venous Lake: A Case Report”
    Published in Middle East Journal of Rehabilitation and Health Studies on December 17, 2022
    DOI: 10.5812/mejrh-122704
    Cited by Crossref.
  5. “Effect of propolis on dentin regeneration and the potential role of dental pulp stem cell in guinea pigs”
    Published in Cell Journal in 2012
    EID: 2-s2.0-84858692510
    Cited by Scopus – Elsevier.

Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

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Mr. Ashfaq Ahmad Najar | Cybersecurity | Best Researcher Award

Assistant Professor VIT Bhopal University, Madhya Pradesh India

πŸ‘¨β€πŸ’» Ashfaq Ahmad Najar is an accomplished IT professional and academic, currently serving as an IT Manager and Faculty at VIT Bhopal University, Madhya Pradesh. With a rich background in cyber security, machine learning, and deep learning, he has made significant contributions to the field through his research and publications. Ashfaq is dedicated to advancing knowledge in cybersecurity and has presented his work at various national and international platforms.

 

Profile

Google Scholar

Education

πŸŽ“ Ashfaq Ahmad Najar is nearing the completion of his Ph.D. in Computer Science from the Central University of Kerala, having submitted his thesis. He holds a Master’s degree in Information Technology from the Central University of Kashmir and a Bachelor’s degree in Information Technology from the University of Kashmir. His early education was completed at the J&K State Board of School Education.

Experience

πŸ’Ό Ashfaq has a robust professional background, currently holding the position of IT Manager and Faculty at VIT Bhopal University. He has previously worked as an IT Manager Head and Tutor at KCCSBA Bijbehera, Anantnag, and as a Guest Faculty at Govt Boys Degree College Anantnag. His experience is complemented by his active participation in various workshops, seminars, and hackathons.

Research Interest

πŸ” Ashfaq’s research interests are focused on Cyber Security, specifically Distributed Denial of Service (DDoS) attacks, as well as Machine Learning and Deep Learning. His work aims to develop robust systems to detect and mitigate cyber threats, leveraging advanced neural network architectures and machine learning algorithms.

Awards

πŸ† Ashfaq has received several accolades, including the UGC-NET 2023 qualification, the GATE 2018 qualification, and the CUK University Fellowship for his Ph.D. research. He was also honored with the Young Researcher Award for his work on DDoS attack detection using MLP and random forest algorithms, and recognized as the best all-rounder in a cricket tournament organized by the Central University of Kerala.

Publications Top Notes

πŸ“ Ashfaq Ahmad Najar has published numerous research articles in prestigious journals. Some of his notable works include:

A novel CNN-based approach for detection and classification of DDoS attacks. Concurrency Computat Pract Exper, 2024, Wiley. Cited by 4 articles

A robust DDoS intrusion detection system using convolutional neural network. Computers and Electrical Engineering, 2024, Elsevier. Cited by 8 articles

Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks. Computers & Security, 2024, Elsevier. Cited by 6 articles

DDoS attack detection and mitigation using deep neural network in SDN environment. Computers & Security, 2024, Elsevier. Cited by 3 articles

DDoS attack detection using MLP and random forest algorithms. International Journal of Information Technology, 2022, Springer. Cited by 5 articles