Top Searches from “IEEE Xplore Digital Library" - 14th December 2023

 

SN	RESEARCH DOMAIN	RESOURCE	MOST CITED BY PAPERS 1	MOST CITED BY PAPERS 2
1	IMAGE PROCESSING	IEEE XPLORE	J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database," 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206848&isnumber=5206488	C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp. 1-9, doi: 10.1109/CVPR.2015.7298594.   URL: URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594&isnumber=7298593
2	MACHINE LEARNING	IEEE XPLORE	C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp. 1-9, doi: 10.1109/CVPR.2015.7298594. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594&isnumber=7298593	J. D. Hunter, "Matplotlib: A 2D Graphics Environment," in Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, May-June 2007, doi: 10.1109/MCSE.2007.55. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4160265&isnumber=4160244
3	DEEP LEARNING	IEEE XPLORE	K. B. Lee and H. S. Shin, "An Application of a Deep Learning Algorithm for Automatic Detection of Unexpected Accidents Under Bad CCTV Monitoring Conditions in Tunnels," 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), Istanbul, Turkey, 2019, pp. 7-11, doi: 10.1109/Deep-ML.2019.00010. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8876906&isnumber=8876888	D. Goularas and S. Kamis, "Evaluation of Deep Learning Techniques in Sentiment Analysis from Twitter Data," 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML), Istanbul, Turkey, 2019, pp. 12-17, doi: 10.1109/Deep-ML.2019.00011. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8876896&isnumber=8876888
4	ARTIFICIAL INTELLIGENCE	IEEE XPLORE	J. Canny, "A Computational Approach to Edge Detection," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986, doi: 10.1109/TPAMI.1986.4767851. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4767851&isnumber=4767846	S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, July 1989, doi: 10.1109/34.192463. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=192463&isnumber=4963
5	CLOUD COMPUTING	IEEE XPLORE	J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database," 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206848&isnumber=5206488	S. G. Mallat, "A theory for multiresolution signal decomposition: the wavelet representation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, July 1989, doi: 10.1109/34.192463. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=192463&isnumber=4963
6	BIG DATA	IEEE XPLORE	J. Deng, W. Dong, R. Socher, L. -J. Li, Kai Li and Li Fei-Fei, "ImageNet: A large-scale hierarchical image database," 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA, 2009, pp. 248-255, doi: 10.1109/CVPR.2009.5206848. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206848&isnumber=5206488	C. Szegedy et al., "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 2015, pp. 1-9, doi: 10.1109/CVPR.2015.7298594. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298594&isnumber=7298593
7	IOT	IEEE XPLORE	A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourthquarter 2015, doi: 10.1109/COMST.2015.2444095. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123563&isnumber=7331734	W. Shi, J. Cao, Q. Zhang, Y. Li and L. Xu, "Edge Computing: Vision and Challenges," in IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637-646, Oct. 2016, doi: 10.1109/JIOT.2016.2579198. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7488250&isnumber=7563473
8	VLSI	IEEE XPLORE	P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, July 1997, doi: 10.1109/34.598228. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=598228&isnumber=13123	P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 629-639, July 1990, doi: 10.1109/34.56205. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=56205&isnumber=2032
9	CYBER SECURITY	IEEE XPLORE	A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari and M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications," in IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347-2376, Fourthquarter 2015, doi: 10.1109/COMST.2015.2444095. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7123563&isnumber=7331734	E. G. Larsson, O. Edfors, F. Tufvesson and T. L. Marzetta, "Massive MIMO for next generation wireless systems," in IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195, February 2014, doi: 10.1109/MCOM.2014.6736761. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6736761&isnumber=6736727
10	BLOCKCHAIN	IEEE XPLORE	K. Christidis and M. Devetsikiotis, "Blockchains and Smart Contracts for the Internet of Things," in IEEE Access, vol. 4, pp. 2292-2303, 2016, doi: 10.1109/ACCESS.2016.2566339. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7467408&isnumber=7419931	W. Saad, M. Bennis and M. Chen, "A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems," in IEEE Network, vol. 34, no. 3, pp. 134-142, May/June 2020, doi: 10.1109/MNET.001.1900287. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8869705&isnumber=9105918
11	NOMA	IEEE XPLORE	L. Dai, B. Wang, Y. Yuan, S. Han, I. Chih-lin and Z. Wang, "Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends," in IEEE Communications Magazine, vol. 53, no. 9, pp. 74-81, September 2015, doi: 10.1109/MCOM.2015.7263349. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7263349&isnumber=7263333	Z. Ding, X. Lei, G. K. Karagiannidis, R. Schober, J. Yuan and V. K. Bhargava, "A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends," in IEEE Journal on Selected Areas in Communications, vol. 35, no. 10, pp. 2181-2195, Oct. 2017, doi: 10.1109/JSAC.2017.2725519. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7973146&isnumber=8038094
12	WIND TURBINE MONITORING	IEEE XPLORE	J. M. Guerrero, J. C. Vasquez, J. Matas, L. G. de Vicuna and M. Castilla, "Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization," in IEEE Transactions on Industrial Electronics, vol. 58, no. 1, pp. 158-172, Jan. 2011, doi: 10.1109/TIE.2010.2066534. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546958&isnumber=5662271	J. Rocabert, A. Luna, F. Blaabjerg and P. Rodríguez, "Control of Power Converters in AC Microgrids," in IEEE Transactions on Power Electronics, vol. 27, no. 11, pp. 4734-4749, Nov. 2012, doi: 10.1109/TPEL.2012.2199334. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6200347&isnumber=6222041

Celebration of "Mathematics Week" from 18 to 22 December, 2023

Hey friends!

It's that time of the year again!

Mathematics Week is just around the corner and we can't contain our excitement!

With reference to the Circular received for the celebration of Mathematics Week from AICTE and to celebrate the brilliant mind of Srinivasa Ramanujan - the greatest Mathematician of all times, SFIT LIRC and NDLI Club are organizing a fun and challenging quiz on his life and contributions to mathematics.

We know you're all math geniuses and we would love to have you join us in this celebration!

So get your thinking caps on and let's see who comes out on top!

Tag your math-loving friends below and let's make this quiz a memorable one!

Link to the Quiz: http://tinyurl.com/npujsfhx

#MathematicsWeek #SrinivasaRamanujan #QuizTime #mathgeniuses

Date of Event: December 18-22, 2023

Overview:

National Mathematics Week at St. Francis Institute of Technology featured two main events: a Mathematics Quiz and a Display of Information on Srinivasa Ramanujan. These events were designed to engage students with mathematical concepts and celebrate the legacy of one of India's greatest mathematicians. 

1. Mathematics Quiz Objective: To test and enhance mathematical knowledge and problem-solving skills among students. 

Key Statistics: Total Participants: 28

2. Display of Information on Srinivasa Ramanujan

Objective: To educate students and faculty about the life and contributions of Srinivasa Ramanujan.

Key Statistics:

• Number of Display Panel: 1
• Content Covered:
  • Biography of Srinivasa Ramanujan
  • Major Mathematical Theorems and Contributions
  • Historical Context and Impact
  • Personal Letters and Manuscripts
• Target Audience: All students and staff of SFIT
• Average Time Spent at Display: 15 minutes

Overall Impact

• Increased Engagement: The events led to a notable increase in interest and participation in mathematics-related activities and resources.
• Educational Value: Provided valuable insights into Ramanujan's contributions and encouraged a deeper appreciation for mathematics.
• Community Building: Fostered a sense of community and intellectual curiosity among students and faculty.

Top Scorers:

Sucheta Prabhudesai	Library	Faculty / Staff
Sweta Vijaykumar Patil	Information Technology	Student

Top Searches from “IEEE Xplore Digital Library" - 8th December 2023

The Learning and Information Resource Centre is pleased to inform you about the Top Searches from "IEEE Xplore Digital Library" as of 8th December 2023 .

SN	RESEARCH DOMAIN	RESOURCE	Newest	Newest
1	IMAGE PROCESSING	IEEE XPLORE	High-speed reach-extended IM-DD system with low-complexity DSP for 6G fronthaul [Invited] Paikun Zhu;Yuki Yoshida;Kouichi Akahane;Ken-ichi Kitayama Journal of Optical Communications and Networking Year: 2024 | Volume: 16, Issue: 1 | Journal Article | Publisher: IEEE	Independent Component Analysis (ICA) Based Method for Estimating the Deformation of Highways in Permafrost Region (HPICA)—A Case Study of Maduo Section of Gongyu Highway Xuemin Xing;Jiawang Ge;Wei Peng;Jun Zhu;Bin Liu;Jiancun Shi;Guanfeng Zheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Year: 2024 | Volume: 17 | Journal Article | Publisher: IEEE
2	ARTIFICIAL INTELLIGENCE	IEEE XPLORE	Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Nyothiri Aung;Sahraoui Dhelim;Liming Chen;Huansheng Ning;Luigi Atzori;Tahar Kechadi Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	Key-Part Attention Retrieval for Robotic Object Recognition Jierui Liu;Zhiqiang Cao;Yingbo Tang Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
3	MACHINE LEARNING	IEEE XPLORE	Federated Meta Reinforcement Learning for Personalized Tasks Wentao Liu;Xiaolong Xu;Jintao Wu;Jielin Jiang Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	Deciphering a Million-Plus RSA Integer with Ultralow Local Field Coefficient h and Coupling Coefficient J of the Ising Model by D-Wave 2000Q Chao Wang;Qiaoyun Hu;Haonan Yao;Sumin Wang;Zhi Pei Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
4	DEEP LEARNING	IEEE XPLORE	Independent Component Analysis (ICA) Based Method for Estimating the Deformation of Highways in Permafrost Region (HPICA)—A Case Study of Maduo Section of Gongyu Highway Xuemin Xing;Jiawang Ge;Wei Peng;Jun Zhu;Bin Liu;Jiancun Shi;Guanfeng Zheng IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Year: 2024 | Volume: 17 | Journal Article | Publisher: IEEE	Federated Meta Reinforcement Learning for Personalized Tasks Wentao Liu;Xiaolong Xu;Jintao Wu;Jielin Jiang Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
5	CLOUD COMPUTING	IEEE XPLORE	High-speed reach-extended IM-DD system with low-complexity DSP for 6G fronthaul [Invited] Paikun Zhu;Yuki Yoshida;Kouichi Akahane;Ken-ichi Kitayama Journal of Optical Communications and Networking Year: 2024 | Volume: 16, Issue: 1 | Journal Article | Publisher: IEEE	Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Nyothiri Aung;Sahraoui Dhelim;Liming Chen;Huansheng Ning;Luigi Atzori;Tahar Kechadi Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
6	BIG DATA	IEEE XPLORE	A Survey of Edge Caching: Key Issues and Challenges Hanwen Li;Mingtao Sun;Fan Xia;Xiaolong Xu;Muhammad Bilal Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Nyothiri Aung;Sahraoui Dhelim;Liming Chen;Huansheng Ning;Luigi Atzori;Tahar Kechadi Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
7	VLSI	IEEE XPLORE	Enhancing Force Control of Prosthetic Controller for Hand Prosthesis by Mimicking Biological Properties Qi Luo;Minglei Bai;Shuhan Chen;Kai Gao;Lairong Yin;Ronghua Du IEEE Journal of Translational Engineering in Health and Medicine Year: 2024 | Volume: 12 | Journal Article | Publisher: IEEE	Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling Yihan Fu;Daijing Shi;Anjunyi Fan;Wenshuo Yue;Yuchao Yang;Ru Huang;Bonan Yan IEEE Transactions on Circuits and Systems I: Regular Papers Year: 2023 | Early Access Article | Publisher: IEEE
8	IOT	IEEE XPLORE	A Survey of Edge Caching: Key Issues and Challenges Hanwen Li;Mingtao Sun;Fan Xia;Xiaolong Xu;Muhammad Bilal Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Nyothiri Aung;Sahraoui Dhelim;Liming Chen;Huansheng Ning;Luigi Atzori;Tahar Kechadi Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
9	CYBER SECURITY	IEEE XPLORE	Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Nyothiri Aung;Sahraoui Dhelim;Liming Chen;Huansheng Ning;Luigi Atzori;Tahar Kechadi Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	DeepSI: A Sensitive-Driven Testing Samples Generation Method of Whitebox CNN Model for Edge Computing Zhichao Lian;Fengjun Tian Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
10	BLOCKCHAIN	IEEE XPLORE	Edge-Enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing Nyothiri Aung;Sahraoui Dhelim;Liming Chen;Huansheng Ning;Luigi Atzori;Tahar Kechadi Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	A Deep Neural Collaborative Filtering Based Service Recommendation Method with Multi-Source Data for Smart Cloud-Edge Collaboration Applications Wenmin Lin;Min Zhu;Xinyi Zhou;Ruowei Zhang;Xiaoran Zhao;Shigen Shen;Lu Sun Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP
11	NOMA	IEEE XPLORE	Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication Thulasiraman Balachander;Kadiyala Ramana;Rasineni Madana Mohana;Gautam Srivastava;Thippa Reddy Gadekallu Tsinghua Science and Technology Year: 2024 | Volume: 29, Issue: 3 | Journal Article | Publisher: TUP	RIS-Based Self-Interference Cancellation for Full-Duplex Broadband Transmission Jiayan Wu;Wenchi Cheng;Jianyu Wang;Jingqing Wang;Wei Zhang IEEE Transactions on Wireless Communications Year: 2023 | Early Access Article | Publisher: IEEE
12	WIND TURBINE MONITORING	IEEE XPLORE	Through the Soil Long Range Wireless Power Transfer for Agricultural IoT Networks Brandon Nieman;Christopher Storm Johnson;Matthew Pearce;Tyler Marcrum;M. Caleb Thorne;Carter Ashby;C. W. Van Neste IEEE Transactions on Industrial Electronics Year: 2024 | Volume: 71, Issue: 2 | Journal Article | Publisher: IEEE Cited by: Papers (1)	Optimal Operation Scheduling of a Combined Wind-Hydro System for Peak Load Shaving Said Zahmoun;Ahmed Ouammi;Roberto Sacile;Rachid Benchrifa;Enrico Zero IEEE Transactions on Automation Science and Engineering Year: 2023 | Early Access Article | Publisher: IEEE

 

AICTE releases Approval Process Handbook for Academic Year 2024-2027

Chairman, All India Council for Technical Education (AICTE), Prof. T.G. Sitharam along with Vice Chairman Dr. Abhay Jere and Member Secretary Prof. Rajive Kumar launched the AICTE Approval Process Handbook for Academic Year 2024-2027, today at PIB Conference Hall, Shastri Bhawan, New Delhi. Additional Director General, Press Information Bureau, Smt. Shamima Siddiqui presented the introductory remarks.

Prof. Sitharam, while addressing the media personnel, informed that AICTE has come up with an Approval Process Handbook applicable for the next three years. The handbook elaborates on processes which institutions need to follow while seeking approval from the council to run technical and management programmes/courses. Prof. Sitharam also highlighted the amendments and provisions that have been incorporated this year in the Approval Process Handbook with a primary focus on quality of education, simplicity in procedures and transparency in implementation.

He also added that for the first time, AICTE posted the draft of the new APH in the public domain to seek opinions and suggestions/ feedback from various stakeholders and experts. More than 600 suggestions and comments were received from different stakeholders, which were evaluated by an expert committee and many suggestions were incorporated in the final draft.  

New changes introduced in the APH are as follows:

1. Provision for Extension of Approval up to 3 years for well-performing Institutions.
2. The upper limit on intake for the Courses / Programs offered by well-performing existing institutions has been relaxed. However, Institutions need to showcase quality infrastructure and qualified faculty before seeking intake.
3. Reduction in compliances related to the requirement of land documents and NOC from affiliating University/ State/ UT Govt.
4. Introduced Off-campus provision for well-performing existing institutions within the jurisdiction of affiliating Universities.
5. Undergraduate Programs/Courses in Computer Applications (e.g. BCA) and Management (e.g. BBA/BMS) have been brought under the umbrella of AICTE to ensure coordinated development in technical and management education.
6. Provision for employed/ working professionals to upgrade their academic qualification/ skillsets at diploma/degree/postgraduate level through flexible mode (timings).
7. Provision of Hibernation for the Institutions looking for upgradation/revamping of the facilities.
8. More clarity on the approval process for Open and Distance Learning (ODL)/Online Learning (OL)
9. All AICTE-approved Institutions have default approval for Skilling (through Vocational courses) via making effective use of existing infrastructure facilities and human resources. 
10. Revised penal action clauses for violation of Norms and Requirements applicable for AICTE approved Institutions/Universities.
11. Huge emphasis on innovation through the INDOVATION program and by establishing the Institution’s Innovation Council (IIC) on their campuses. 

 

The new provision of AICTE approval for Institutions offering BCA and BBA/BMS courses will enable better quality through model curriculum, eligibility for scholarship schemes like PRAGATI, SAKSHAM, SWANATH etc., faculty participation in FDPs through ATAL Academy, Quality Improvement Programme, Research Promotion Scheme for funding Faculty, Innovation Cell activities for students, free access to all technical books, access to Students Assessment Portal (PARAKH), placement and internship facilities for students through AICTE’s Internship and Placement portal.

AICTE is committed to promoting holistic, qualitative, inclusive and accessible education in the country to make India a technical hub by 2047. AICTE is a mentor, facilitator and enabler catering to the needs of its diverse stakeholders.

Source: https://pib.gov.in/PressReleasePage.aspx?PRID=1983013